Advances in Engineering Technology Research

Initial effects of nitrogen rate on nodulation of peanut in sole and intercropping system in semi-humid area in Liaoning

2024-09-05T16:56:56+08:00

The maize/peanut intercropping is an important cereal/legume intercropping system in Liaoning. This intercropping system can reduce wind erosion, increase yield and resource use efficiency. To clarify the effects of nitrogen rate on nodulation characteristic of peanut in sole and intercropping system in semi-humid area, a micro-plot experiment was conducted at the Drought-resistant Cultivation Simulation Test Site, Liaoning, Northeast China. Including two cropping system (sole peanut and maize/peanut intercropping) and seven N rates (0, 50, 75, 100, 150, 200 and 300 kg/ha) based on the cropping pattern. The results showed that maize/peanut intercropping have the potential to enhance the nodulation of peanut and there was alleviatory effect on the inhibitory effect of N fertilization on the nodulation of peanut when intercropped with maize in earlier stage in semi-humid area. These advantages can be due to the enhancement of nodule number or facilitation of the single nodule development, or both of them by intercropping with maize. There was interaction between cropping system and the N input. More tests should be done in different climate conditions, agronomics, growing stages, and N rates to clarify the potential of peanut nodulation forming and to maximize the biological N fixation of peanut in intercropping system.

Research on the Collaborative Development and Evolution Mechanism of the New Type Power System Industry Chain

2024-09-05T17:07:01+08:00

At present, under the multiple strategic overlays of the new development pattern, “dual carbon” goals, and new energy systems, the role and position of China’s energy power industry in serving the overall economic and social development is expanding and elevating. Based on the vision of Chinese path to modernization and the construction requirements of a modern industrial system, this paper studies how China’s power industry will evolve from the current fossil energy-based foundation to a new type power system industry chain based on technological innovation. Therefore, it is necessary to forge a path focusing on mastering key core technologies, with the aim of enhancing the resilience and security level of the industry chain and supply chain. High-quality supply and digital infrastructure should serve as driving force, with the interconnection of electricity and various resource elements as a key task. The industrial application of high-tech and commercial model innovation should be developed as the main methods for the rise of China’s energy power industry.

Study on the Interface Characteristics in Si-C Composite Anode Materials

2024-09-05T17:11:20+08:00

Due to the volume expansion during the lithium intercalation and deintercalation process, the carbon layer of silicon@carbon gradually falls off, exhibiting low capacity or poor cycling stability. The role of Si-C bonding and interface characteristics in Si@C composite materials on material cycling stability is still unclear. Based on the first principle method, the Si-C bonding and lithium intercalation and deintercalation properties of two Si-C alloys with different space group were studied. The results show that the lithium intecalation formation energy of SiC-1 is only 0.158 eV, much lower than the 0.6537 eV of SiC-2. The volume expansion ratio after lithium intercalation is only 38.9064%, which is basically equivalent to graphite. The bonding mode between Li-Si and Li-C determines whether lithium ions can be reversibly released. The bonding strength of Si-C bonds plays a stabilizing role in the lithium intercalation and deintercalation process, which is beneficial for reducing the volume expansion ratio of lithium intercalation.This work has certain guiding significance for the research of silicon carbon anode materials with high capacity and long cycilc life.

Numerical Simulation Study on the Average Air Velocity Circle in Coal Mine Roadway

2024-09-05T17:24:48+08:00

To determine the accurate installation position of the air velocity sensor and ensure that it monitors the average air velocity of the full section of the roadway, a numerical simulation method was employed. The results verified the existence of an average air velocity circle on the section of a fully developed turbulent roadway, where the air velocity at any point on it is equal to the average air velocity of the roadway, and its position is approximately fixed, independent of the size of the roadway air velocity. It revealed the rule that the distance from the top of the average air velocity circle to the roof of rectangle, semi-circular arch, and three-centered arch roadways with smooth walls is 0.11-0.12 times the height of the roadway. Through field tests, it was found that in real underground roadways, the distance from the average air velocity circle to the roof is greater than that in roadways with smooth walls. When installing air velocity sensor in real roadway, the installation position of the sensor should be adjusted appropriately based on the roughness of the roadway wall surface.

Exploring Novel Applications of Chinese Herbal Medicine in Beer Brewing

2024-09-05T17:27:50+08:00

With the rise of health food products, the development of functional beers brewed with medicinal herbs has increasingly become a focus of research. This article provides an overview of the brewing processes involved in herbal beers, examining the potential impacts of these herbs on yeast during fermentation and the resultant beer. Additionally, it briefly introduces several popular varieties of herbal beers, outlining their brewing techniques and highlighting the key functional components that contribute to their health benefits.

Nozzle design and test of water seal lubrication system for large gate

2024-09-05T17:32:15+08:00

In order to solve the problem of poor lubrication effect of water seal in large gate, three kinds of nozzles with different structures are designed. In order to further explore the best installation form of nozzle, the water flow animation of 3# nozzle at different angles, different installation positions and different water pressures was simulated by using Blender and ANSYS-CFD, the best lubrication effect is obtained when the distance from water seal section is 40mm and the water pressure is 0.5MPa. The experimental results show that the model test results of 3# nozzle are basically consistent with the simulation results, and the optimum 3# nozzle has the best lubrication effect. The research results can provide technical reference for the optimization transformation of water seal lubrication and the design of water seal lubrication for the same type of gate.

The Lichnerowicz formula and residue for Dirac operator with one form

2024-09-05T17:36:36+08:00

In this paper, a Dirac operator with formal perturbation is studied. We study the decomposition formula of the Dirac operator squared, and get the generalized Lichnerowicz formula. According to the relation between the noncommutative remainder of a formal Dirac operator and the trace of the Dirac operator, the noncommutative remainder of a formal Dirac operator can be obtained by directly calculating the trace of the endomorphism.

Research on Adaptive Segmentation Algorithm for Highway Roadside Video Images Based on Unet Networks

2024-09-05T17:41:08+08:00

Aiming at the existing highway roadside video analysis applications that can't adapt to the rotation of the ballbar and the difficulty that the monitoring area needs to be re-calibrated after the rotation, the adaptive segmentation algorithm is studied. We collect 2370 images of various highway line types, make fine labeled motorway, non-motorized lane, central isolation zone, road environment and other highway video image area segmentation samples, train Deeplabv3, Unet, Pspnet three kinds of deep learning semantic segmentation network respectively, and combine the test results with the comprehensive analysis to select Unet semantic segmentation network, the semantic segmentation prediction and the real intersection and merge. The ratio of semantic segmentation prediction and real intersection reaches 92.45%, detection accuracy reaches 96.32%, and recall rate reaches 95.77%. For different preset positions of the ball machine rotation, adaptive video monitoring to provide different regional coordinates, and according to different regions to allocate different detection capabilities, effectively solve the video analysis algorithms due to the ball machine rotation failure, as well as the need to repeatedly calibrate the problem of manual calibration, and significantly reduce the highway algorithms in different scenes repeated access to the video streams caused by the pressure of network transmission.

Study on Evaluation Indicators for Structural Damage of Pavilion and Dense-eaves Brick-and-stone Ancient Pagodas

2024-09-05T17:44:29+08:00

The pavilion and dense-eaves structures are the most commonly used forms of brick-and-stone ancient pagodas. Due to the extensive temporal and regional distribution of these ancient pagodas, accurately evaluating the structural damage and safety levels of pavilion and dense-eaves brick-and-stone pagodas is extremely challenging. Based on existing research results on the damage and assessment of brick-and-stone ancient pagodas and continuous attention to their current status, we have chosen the most common used pavilion and dense-eaves structures among brick-and-stone pagodas. According to the typical parts of their architectural structures, construction materials, and building techniques, and considering the effects of earthquakes and climate, we describe the damage to brick-and-stone pagodas and its extent. We propose a safety assessment model for brick-and-stone pagodas.

Isolation and identification of postharvest pathogenic bacteria of winter jujube and antibacterial test of 34 essential oils

2024-09-06T17:34:33+08:00

The 'Dali' winter jujube was used as the test object. The postharvest pathogens were isolated, purified and identified . The pathogenicity was determined by Koch's postulates. The antibacterial activity of 34 types of plant essential oils against pathogens with strong pathogenicity was determined. The findings indicated that a fungus with strong pathogenicity was isolated and identified from diseased winter jujube, which was marked as DZ1. The phylogenetic tree showed that the DZ1 strain had a high relationship with Fusarium oxysporum . Among the 34 essential oils, basil, mustard, litsea cubeba and cinnamon essential oils (1000μl/L) had the most significant antibacterial effect on the DZ1 strain, with an inhibition rate of 100%. Clove and garlic essential oils (1000μl/L) had a good antibacterial effect on the DZ1 strain, with an inhibition rate of more than75%. 500μl/L mustard essential oil had the best inhibitory effect on the DZ1 strain, and the the antibacterial rate was still more than 95 % after 12 days of treatment. In summary, it was determined that the pathogen causing post-harvest diseases of winter jujube was Fusarium oxysporum , which had a strong pathogenicity. 500μl/L mustard essential oil had the best inhibitory effect on Fusarium oxysporum .

Isolation and identification of postharvest pathogenic bacteria of mango and antibacterial test of 36 essential oils

2024-09-06T17:39:28+08:00

The ' Kate ' mango was used as the test object, and the post-harvest pathogens were isolated, purified and identified . The pathogenicity was determined using Koch's postulates, and the antibacterial activity of 36 types of plant essential oils against pathogens with strong pathogenicity was determined. The results showed that a highly pathogenic fungus MG1 was isolated and identified from mangoes, and molecular biological identification identified it as Diaporthe pseudophoenicicola . Among the 36 essential oils, achyranthes bidentata, mustard, burdock, clove and litsea cubeba essential oils (1000μl/L) had the most significant antibacterial effect on MG1 strain, with an antibacterial rate of 100%. After 4 days of treatment with 500μl/L clove essential oil, the antibacterial rate of MG1 strain was still more than95%. In summary, the pathogen causing postharvest disease of mango was determined to be Diaporthe pseudophoenicicola , which is highly pathogenic, 500μl/L of clove essential oil was effective against Diaporthe pseudophoenicicola had the best inhibitory effect.

Analysis of the impact of the development of artificial intelligence on the employment of China's labor force

2024-09-10T17:11:52+08:00

The development of artificial intelligence affects the employment of labor force in China. The article uses the panel data of 30 provinces in China from 2004 to 2020 to analyze the development trend of AI in China from the spatio-temporal dimension, and finds that the development of AI promotes the two dimensions of the quantity of labor force employment and the quality of the labor force through the two-step system generalized moments estimation (Two-step-SYS-GMM) regression. Meanwhile, regional innovation efficiency is measured with the super-efficient SBM model (US-SBM model) considering non-desired outputs, and it is found that regional innovation efficiency has a positive moderating effect on the dynamic relationship between the two. Then, it proposes coping strategies to improve institutional arrangements, strengthen vocational training and activate innovation factors.

Evaluation and Function Zoning of Geological Environment Carrying Capacity in Dongning-Suifenhe Region,China

2024-09-10T17:14:27+08:00

The carrying capacity of the geological environment to human activities is limited, and the maximum limit of this carrying capacity is the geological environment carrying capacity. It is necessary to scientifically understand the concept of geological environment carrying capacity from two dimensions: the geological environmental conditions (the carrier) and human activities (the load). With the entry into force of the document "Consent of the General Administration of Customs to Designation of the Port of Vladivostok, Russia as a Transit Port for Cross-Border Transportation of Domestic Trade Goods," the Dongning-Suifenhe region has ushered in new opportunities for development. How to ensure economic and social development while coordinating the relationship between geological environment and resource development, as well as ecological environmental protection, has become the key to the success of opening up and development. It is imperative to carry out the evaluation of geological environmental carrying capacity and function zoning in the study area. This paper evaluates the background carrying capacity and bearing state of the geological environment in the Dongning-Suifenhe region by using the hierarchical comprehensive index method. The evaluation has determined the degree of favorable geological environmental conditions as well as the degree of impact from human activities on the geological environment and resources. Based on this, geological environment function zoning is conducted, and recommendations on regional development and eco-environmental protection are presented.

Thermodynamic analysis and optimization of carbon capture system

2024-09-10T17:18:45+08:00

With the acceleration of the global industrialization process, the problem of greenhouse gas emissions is becoming more and more serious. Carbon dioxide is one of the most important greenhouse gases, and carbon capture technology can make an important contribution to the mitigation of climate change. In this paper, Aspen Plus is used to establish a numerical model for thermodynamic analysis of carbon dioxide capture system, and the thermal efficiency and exergic efficiency of system equipment under different conditions are studied. The results show that: When the inlet flue gas temperature of the absorber tower was 35℃, exergic efficiency and exergic efficiency reached the best, while the efficiency of the supplementary liquid cooler decreased with the increase of the outlet temperature. The efficiency of the liquid-rich heater and the liquid-poor cooler decreases with the increase of the inlet and outlet temperature, and the system runs in a better state when the flue gas temperature and the absorber temperature are between 30℃ and 40℃. Exergic efficiency of equipment decreased with the increase of temperature, so research results are of great significance for improving the efficiency of carbon capture system.

Intelligent Diagnostic System for Starter Motor Testers Based on Fuzzy Neural Networks

2024-09-10T17:23:40+08:00

In response to the multiple and ambiguous faults characteristic of starter motor testers, a fault diagnosis expert system based on fuzzy neural networks has been proposed. This design leverages the strengths of neural networks, fuzzy control, and expert systems. Neural networks diagnose faults in testing equipment, while fuzzy membership functions represent the degree of these faults. The system offers fast inference speed and strong fault tolerance. A control program was developed using Matlab, featuring a new user-friendly human-machine interface to enhance usability and operational ease of the system.

Effects of aging and thread rolling process sequence on tensile-tensile fatigue of GH4169 alloy bolt

2024-09-14T09:44:55+08:00

GH4169 superalloy has excellent corrosion resistance, high temperature strength, good machinability and high temperature stability.Therefore, GH4169 was widely used in the manufacturing field of aviation equipment components. In this paper, GH4169 was used as the research material to analyze the effects of aging treatment and thread rolling process sequence on metallographic structure, thread morphology, tension-tension fatigue life and fracture morphology. The results showed that the manufacturing process of aging treatment before thread rolling process can reduce the grain size of the material and have good thread morphology, and its tension-tension fatigue life is higher than that of aging treatment after thread rolling process. And there were obvious differences in fracture morphology.

Study on Spectral Hole Burning Effect in Super-C Band EDFA

2024-09-14T09:51:37+08:00

Erbium-doped fiber amplifiers (EDFAs) are a key component in optical communication networks, but they suffer from the significant issue of spectral hole burning (SHB). This paper conducts three sets of comparative experiments by controlling the signal power, signal wavelength, and channel bandwidth of the EDFA to delve deeper into the factors influencing SHB. Additionally, the feasibility of compensating for SHB using iSHB has been experimentally verified.

Optimization of Link Failure Detection Models Integrating Link Importance Assessment and Community Division

2024-09-14T10:18:26+08:00

This study introduces an efficient link failure detection model to enhance network operation and service quality by addressing current methods' limitations like high resource use and narrow monitoring scope. The model integrates a dual-layer structure using link importance assessment and community partition algorithms, complemented by fault identification algorithms based on time series analysis and machine learning, such as autoregressive models and support vector machines. Tested in simulated environments, the model achieves up to 98% accuracy, with fault response times reduced to 20 seconds and recovery times to 40 seconds, showing particular effectiveness in critical and high-bandwidth scenarios.

Research of Containment Leakage for Marine Nuclear Power Platform

2024-09-14T10:22:37+08:00

The purpose of this paper is to clarify the overall and local leakage rates of the Marine reactor containment, establish the containment seal test acceptance criteria, and support the analysis of airborne radioactive material concentration in the compartments around the containment. Based on the containment seal test standard of onshore nuclear power plants, the leakage rate index allocation, leakage rate calculation and feasibility analysis of Marine Nuclear Power Platform (MNPP) were carried out through the general idea of "standard analysis-proposed index-verification index". The study showed that the overall leakage rate of the containment of the MNPP was proposed about 3‰/24h, and the leakage rate distribution of the penetration parts of Class B and C accounted for 10% and 50% of the overall leakage rate respectively under the condition of the design accident. During the sealing test phase, the overall leakage rate of the containment should consider 25% of the design margin. The results of numerical analysis and calculation of containment leakage of the MNPP meet the requirements of index and have a good design margin, which is of great reference value for the establishment of containment sealing test acceptance criteria.

Analysis on decoupling effect of transportation carbon emissions in Inner Mongolia, China

2024-09-14T10:26:07+08:00

Transportation plays a pivotal role in social and economic development, and economic growth has a significant driving effect on transportation carbon emissions. It is particularly important to explore the relationship between economic growth and transportation carbon emissions. Based on the 2006-2021 time series data of transportation energy consumption in Inner Mongolia, this paper uses the IPCC "top-down" calculation method to calculate the total carbon emissions of transportation, and selects per capita GDP and added value of transportation industry to represent economic growth. Through the stationary test of time series data, the construction of Tapio decoupling model, the calculation of decoupling elasticity coefficient, and the decoupling effect analysis, the decoupling state between economic growth and transportation carbon emissions in different time periods during the study period was obtained, and the decoupling effect of transportation carbon emissions in Inner Mongolia was explored, providing theoretical support for energy conservation and emission reduction of transportation.

Road Passing Analysis and Test Study of Semi-trailer Traction Train

2024-09-14T10:28:54+08:00

Taking the low-plate semi-trailer as the research object, the calculation model of road passability is established, and the two parameters of the minimum turning diameter and turning channel width are analyzed based on the analytical method. According to the requirements of GB1589-2016 vehicle channel circle and the test method for the limit and measurement method of the vehicle turning channel circle diameter, and the circle and external pendulum value of the turning channel of a semi-trailer tractor are studied. Firstly, the low flat semi-trailer is established as the research object; secondly, according to the circle and the test method of the national standard, the comparison test is carried out to verify the correctness of the analytical analysis, the calculation result and the test error are very small, the model is credible, and the performance of the vehicle road meets the use requirements.

The characteristics of linear filament system is studied based on Incomplete statistics

2024-09-14T10:36:04+08:00

Non-extensive statistical mechanics has shown its superiority in explaining the singular phenomena of complex physical ensembles, and Incomplete statistics is one of the methods. The idea of Incomplete statistics was used, the E-V distribution of Shannon entropy is derived and applied to the linear filament system to simulate the E-T-q image. The results show that the thermodynamic properties under different q values are different from the traditional statistical results, which provides a theoretical basis for explaining the phenomena of real complex physical systems.

Zinquinone hybrid for the anode of drainage potassium ion battery

2024-09-14T10:39:37+08:00

Based on the development of energy materials, phenazine (PNZ) and its analogues were selected as the development target, and the high purity TAPQ was obtained through actual synthesis. The resulting TAPQ was applied to strong alkaline conditions (6 M KOH). Through actual assembly and debugging, and cyclic voltammetric test, it was found that the specific capacity was 370 mAh g^-1 at the current capacity of 0.1 A g^-1, and the ratio ratio was still maintained 100%. Meanwhile, the redox reaction of TAPQ was found to be step by step with high reversibility. At the same time, the full cell cycle voltammogram shows that TAPQ has good cycle stability in actual operation. Based on the performance results of the detection and the comparative analysis of the current data, the practical application of TAPQ provides a new idea for exploring new organic electrode materials.

Study on the Influencing Factors of Insulation Failure on Surface of PCB in Switching Power Supply

2024-09-14T10:44:20+08:00

The miniaturisation and high-power density of switching power supplies encountered internal insulation problems where the printed circuit board (PCB) should be considered carefully. In order to investigate the influencing factors of insulation failure on the surface of PCB in switching power supplies, this paper explores the surface flashover conditions of PCBs by varying the distance between the electrodes, the air pressure, and the external environment. The results showed that the distance between the electrodes and the structure of the electrodes significantly affect the electric field distribution and the surface flashover voltage. Besides, the surface flashover voltage under varied air pressure approximately conforms to the general law of the Paschen’s curve, that is, the surface flashover voltage decreases and then increases with the the air pressure increasing. Additionally, it is indicated that the more complex the surface environment of the PCB is, the lower the corona voltage is.

Inference Method for Traffic Accident in Highway Monitoring Blind Based on Running Speed

2024-09-14T10:54:32+08:00

This study proposes and validates an inference method to detect abnormal traffic events in highway monitoring blind spots by analyzing vehicle speed data from adjacent monitoring areas. Utilizing simulation tools such as Vissim and LumenRT, various realistic traffic scenarios were designed to collect comprehensive data on vehicle speeds. Cross-correlation and Pearson correlation coefficients were employed to identify time lags and quantify the relationship between speeds in different sections. The results indicated a significant correlation under normal conditions and a marked decrease during abnormal events. This method provides a reliable approach to enhancing the detection of traffic anomalies, improving highway safety and efficiency. The implications of this research suggest that integrating such methods into existing traffic management systems can offer a more comprehensive surveillance framework, with potential for future enhancements through real-world validation and the inclusion of additional variables.

A highway classification method based on floating cars and Moran's index

2024-09-14T10:58:22+08:00

To align with the essential demands of expressway operational and maintenance management in the contemporary era, this paper advocates refining the monitoring standards for distinct highway segments and enhancing the operational efficiency of the expressway monitoring system. It introduces the concept of stability in traffic conditions, particularly focusing on overtaking frequency, speed differentials, and traffic fluctuations at entry and exit points. Furthermore, by employing entropy method and global Moran index, the paper establishes a grading detection approach for expressways, thereby laying a solid foundation for optimizing monitoring strategies and bolstering road safety.

All-fiber curvature sensor based on asymmetric structure

2024-09-14T11:15:45+08:00

In this paper, an asymmetrically structured curvature sensor fabricated as a biased core fusion bonding, which consists of a PDMS elastomeric material encapsulating an all-fiber Mach-Zehnder interferometer, is proposed to solve the problem of identifying vector bending and twisting. The curvature in the range of 0.2cm-1~0.67cm-1 was realized to recognize the bending direction of the Y-axis and Z-axis in the positive and negative four directions, and the twisting direction of clockwise/counterclockwise in the twisting range of 0-10°. Meanwhile, four repetitive experiments on the repeatability of the sensor were carried out in a constant temperature environment, and the sensitivity error was less than 0.211%. The designed flexible sensor has good linearity and repeatability.It has the advantages of small size,no electromagnetic interference and high sensitivity, which can be applied in the fields of robot intelligent skin and motion monitoring.

Layout and Target Estimation Method of Sheltered Area for Multipath Signal

2024-09-14T11:24:33+08:00

Building environment sensing and shelter target detection technology based on low frequency electromagnetic wave has attracted the attention of researchers around the world. Low frequency electromagnetic wave has good penetration and low loss characteristics, which can realize building structure layout imaging and shelter target detection and tracking, and has important application prospects in the fields of anti-terrorism and stability maintenance, disaster relief and urban mapping. Due to the occlusion of urban buildings, electromagnetic wave propagation will produce complex electromagnetic phenomena such as reflection, transmission and diffraction, resulting in imaging defocusing and unstable target detection and tracking. This paper proposes a reconstruction method of building layout based on the combination of transmitted and reflected signals. Through the result level fusion of reflected projection images and transmission tomography images, the problems of wall position deviation and serious artifact interference existing in the reconstruction process are solved, and efficient and high-precision imaging of building layout under limited scanning paths is realized. The research on building layout and target imaging methods for multipath signals conducted in this paper can not only improve the detection performance of radar equipment in urban buildings, but also be applied to reconnaissance and surveillance in non-line-of-sight areas such as street corners, providing reliable information for anti-terrorism, stability maintenance and automatic driving, and playing an important role in national defense and social applications.

Research on Ecological Protection and Restoration Technology of Fushun West Open pit Mine in Liaoning Province

2024-09-14T11:28:15+08:00

This article takes Fushun West Open pit Mine as the research subject, and focuses on the issues of land damage, dust and sand raising, water level reduction, soil desertification, and vegetation degradation caused by mining. It conducts in-depth research on ecological environmental protection and restoration technologies.This paper first comprehensively analyzes the characteristics of Fushun West Open pit Mine and the impact of mining activities on ecology through literature research and case analysis. It reveals the transmission mechanism of rock and soil damage ecological degradation in the open-pit mine, reconstructs the ecological self-sustaining system, and further conducts research on key technologies such as land leveling technology, soil reconstruction and improvement restoration technology, and mine vegetation restoration. A technical framework suitable for ecological protection and restoration in the West Open pit Mining Area is constructed, and corresponding restoration technologies and measures are proposed. The implementation of these technologies has significant implications for improving the ecological environment of mining areas and promoting sustainable development. I hope to provide reference for ecological restoration in similar mining areas.

Research on effect of the water-based permeable crystalline material on concrete durability

2024-09-14T11:35:26+08:00

This study investigates the effect of the water-based permeable crystalline material on the compressive strength, permeability resistance, freeze-thaw resistance, abrasion resistance, and chloride ion permeability resistance of concrete through multiple sets of experiments. The results illustrate that the water-based permeable crystalline material enhances the compressive strength of concrete by approximately 9% and enhances the permeability resistance by 42.9%. Due to the notably higher permeability resistance, the chloride ion permeability resistance of concrete correspondingly increases by 17.2%. Moreover, this material significantly mitigates the damage caused by the freeze-thaw cycles and abrasion, making concrete more suitable for various working environments.

Judge The Function of Rules In The Power Grid Emergency Command System

2024-09-30T14:39:17+08:00

The research and judgment rules are the core of the research and judgment function. The research and judgment function will strengthen the construction of the emergency technical support capabilities of the power grid company, break the data barriers, strengthen the interconnection and resource sharing of integration, and realize information. Intelligent, digitalization, effectively improve the level of response to emergencies, and promote the modernization of the company's emergency management system and emergency capacity, some have a significant role.

A Study on the relationship between Landscape Elements, Landscape Preferences and Health Benefits in Urban Parks

2024-09-30T14:45:59+08:00

Public health and well-being are closely linked to the quality of the human landscape environment. As a vehicle for studying human-landscape interactions, landscape preferences are closely linked to landscape resilience. Numerous studies have shown that individuals exhibit different preferences for different environments, with more preferred environments producing greater health benefits. Natural environments are also subject to differences in individual preferences and offer greater health benefits than urban environments. To investigate the relationship between landscape elements, landscape preferences, health benefits and their influence mechanisms, an influence pathway and evaluation model was constructed for this study between these three variables, using the South Lake Urban Central Ecological Park in Tangshan, China as the research object and social media network evaluation as the data source. Quantitative and qualitative analyses were used to extract landscape element measures, in combination with existing landscape preference and health benefit assessment scales. Field research was conducted to obtain evaluation data, and a structural relationship model was constructed for validation to examine the interactions between landscape elements, landscape preferences, and health benefits. The results showed that landscape elements had a significant positive effect on landscape preferences (β is 0.699, t=8.375, P<0.001); landscape preferences also had a significant positive effect on health benefits (β is 0.643, t=6.526, P<0.001); landscape elements also had a significant positive effect on health benefits (β is 0.42, t=2.816, P< 0.01), while landscape elements had an indirect effect through partial mediation of landscape preferences. In the landscape element measurement model, each latent variable can effectively explain landscape elements, but the explanation ability of each latent variable for landscape elements varies, indicating that different landscape elements have different effects on landscape preferences; in the landscape preference measurement model, the four measurement dimensions can effectively explain landscape preferences, among which consistency has the highest explanation ability for landscape preferences; in the health benefits assessment measurement model, all four measurement dimensions effectively captured the health benefits assessment, eliminating fatigue has the highest explanatory power for the health benefits assessment. From the final structural equation model, it can be seen that landscape elements have a significant effect on both landscape preferences and health benefits, and landscape preferences also has a significant effect on health benefits. Visitors moved from landscape element evaluation to landscape preferences and finally to health benefits assessment, which is a sequential experience.

Optimizating Sporadic Data Transmission for mMTC in 5G Networks

2024-09-30T15:24:13+08:00

In response to the explosive growth of massive Machine-Type Communication (mMTC) terminals in 5G networks, this paper proposes an optimization method for sporadic mMTC data transmission in 5G based on grant-free radio bearers. This method achieves efficient access and resource sharing among mMTC terminals through sharing pre-configured radio bearers. Additionally, an uplink grant-free random access mechanism is introduced to ensure that terminals are only activated for necessary data transmissions, then automatically entering a low-power sleep state. By optimizing the design of the air interface protocol stack, transmission delay and operating cost of the system are significantly reduced, and data transmission efficiency is further improved. The paper also explores the application of this method in satellite networks, demonstrating in detail its capacity to substantially reduce signaling overhead and enhance network performance for mMTC data transmission. This method has broad application prospects in 5G and satellite communication networks.

Model experiment on the treatment effect of concrete cover plate for karst developed roadbed

2024-09-30T15:30:53+08:00

In order to explore the treatment effect of concrete cover plates on karst roadbeds under karst development conditions, two comparative analysis models of karst roadbeds without prevention measures and with concrete cover plates were designed. The instability and failure laws of karst roadbeds under development conditions and the control effect of concrete cover plates on karst roadbed settlement were studied. Research has shown that the maximum displacement of karst roadbeds occurs at the top of the karst cave. With the continuous development of the karst cave, the displacement at the top of the cave increases, leading to settlement deformation of the roadbed surface and ultimately resulting in roadbed collapse; During the development of karst caves, the vertical soil pressure of the roadbed at positions 0cm and 10cm from the centerline decreases with the increase of cave span, while the vertical soil pressure of the roadbed at positions 20cm and 30cm from the centerline increases with the increase of cave span; Even with the continuous development of karst caves, the karst treatment effect of concrete cover plates is still very obvious.

Numerical simulation study of impingement atomization of kerosene propellant

2024-09-30T15:42:30+08:00

In order to analyse the mechanism of impinging atomization and improve the effect of kerosene propellant atomization, numerical simulation of two-nozzle impinging kerosene atomization is carried out by Discrete Particle Model (DPM) in the Eulerian-Lagrangian framework, which is used to build a two- nozzle impinging kerosene propellant atomization model and to study the effects of the initial impinging angle and the jet velocity on the atomization characteristics. The results show that: with the increase of the impact angle, the forward impact area of the two jets increases, resulting in more energy loss of the jet due to collision, and the droplet velocity decreases so that the conical atomization field devel-ops slower; the spreading range of the atomization field is related to the impact angle, when the initial impact angle is in-creased from 45° to 60°, the spray cone angle and the atomization range angle increase a respective 48.57% and 20.68%; The Sauter mean diameter (SMD) of the atomized droplet gradually decreases with an increase in the impinging jet velocity, under the same initial impinging angle.

The pilot study investigates the degradation of pollutants in a river within Jinan City using a three-dimensional ecosystem

2024-09-30T15:47:20+08:00

Ammonia nitrogen pollution in rivers is increasing day by day, and the use of plants to remove ammonia nitrogen from water bodies in large-volume sewage is a more common method.However, there are many problems in ecological methods such as traditional constructed wetlands.Therefore, the results of pilot experiments in this paper show that (1) the spatial intensification of the system: Combined with multi-level artificial ecological technology and three-dimensional hydroponic technology, a three-dimensional artificial ecosystem is constructed to maximize the use of vertical space, increase the system space and hydraulic residence time, reduce the area of more than 75% compared with traditional ecological wetlands, and exert efficient pollutant reduction ability in a small area.(2) High nitrogen removal efficiency of the system: The introduction of plant root zone microbial culture and domestication technology in the process of ecological plant culture can improve the nitrogen removal capacity of the three-dimensional ecosystem, and the ammonia nitrogen degradation rate can reach up to 96%, stably reaching the surface water environmental quality standard (GB 3838-2002) Class IV water quality.(3) To achieve low temperature and stable operation in the northern winter: Capping photovoltaic glass greenhouses outside the three-dimensional ecosystem to ensure the operating temperature of the ecosystem in autumn and winter, ensuring that the system can maintain a high water temperature at night in winter, and promoting microbial nitrogen removal and plant growth.④ Ecological and economic value: The solar photovoltaic system is set on the greenhouse, and the solar photovoltaic technology is used to provide electricity for the ecosystem.The effluent treated by the system is used for the water of flowers and plants in the system.The labor cost and equipment maintenance cost during the operation of the system are compensated by the income from the sale of flowers.To achieve the long-term operation mechanism of "green and efficient, low-carbon cycle, intelligent ecology" of the ecosystem, to ensure the sustainable and stable operation of the treatment system, and the ecological economic value is high.

Power grid fault comprehensive analysis model and monitoring method

2024-09-30T16:02:21+08:00

This paper proposes a fault prediction method based on disaster meteorology and real-time monitoring of power grid faults, to provide important data support for early warning and emergency start and on-site emergency repair of power grid companies. When there is ice, wildfire, flood, typhoon and other disasters, the probability of power grid failure will greatly increase. Through the previous historical data analysis, predict the scale of power grid failure and main areas, so as to prepare corresponding materials and personnel. When disaster weather occurs, monitor all kinds of power grid fault signals in real time, conduct power grid fault analysis, real-time analysis of power grid fault and the affected lines, transformers, communities, users and other data, grasp the latest state of power grid fault, and then provide important data support for emergency rescue.

Research on intelligent interpretation of covering measures of dense mesh net based on UAV remote sensing images

2024-09-30T16:06:42+08:00

In order to explore the method of intelligent interpretation of typical measures of environmental protection and water conservation in pumped storage power station by UAV remote sensing technology, Wei Fang of pumped storage power station in North China was selected as the research area and the measure of dense mesh covering was selected for intelligent interpretation study. Firstly, a sample database of typical measures of dense mesh cover was built based on the orthophoto image of the UAV. Then the dense mesh cover recognition model is constructed using ENVI deep learning model framework. At last, the loss, accuracy and recall rate indicators provided by the ENVI deep learning module TensorBoard is usd to evaluate the accuracy of the recognition of model, which the accuracy reaches to 93%.

Application of situational simulation pedagogy in a basic course in specialized rehabilitation nursing

2024-09-30T16:19:36+08:00

Objective To explore the influence of situational simulation teaching method on enhancing the humanistic care ability of nursing specialist students in the basic course of rehabilitation nursing. Methods A total of 80 nursing students in 2 classes of 3-year specialized nursing program 2022 in our school were selected as the research object, all of them were in 3-year system, and were divided into 40 in observation group and 40 in control group by whole cluster random sampling. The control group used the traditional teaching method to carry out the teaching of the basic course of rehabilitation nursing, and the observation group used the situational simulation teaching method. Compare the two groups of nursing students' learning achievement, nursing students' humanistic caring ability, and objective structured clinical examination OSCE examination score. Results After teaching, the total score of the observation group's learning achievement was 161.01±3.17, the total score of nursing students' humanistic caring ability was (200.13±2.13), and the score of the objective structured clinical examination OSCE examination was (96.68±3.17), which were higher than those of the control group. The differences were statistically significant. Conclusion Compared with the traditional teaching method, the situational simulation teaching method can effectively improve students' academic performance, clinical examination OSCE examination scores and enhance nursing students' humanistic care ability.

Prediction of waste separation behavior and its underlying mechanisms using logistic regression

2024-11-04T17:12:26+08:00

Waste separation is essential to reduce the impact of pollution on the environment and to promote sustainability. Despite the implementation of waste separation policies in many countries and regions, the results have not met expectations. Therefore, it is imperative to identify the key factors that encourage waste separation behavior. Based on self-determination theory and the theory of planned behavior, we examine these determinants and underlying mechanisms of green intrinsic motivation and perceived factors on waste separation behavior. The study employs logistic regression to identify predictor variables, and uses the Python statsmodels library for data analysis. The results show that green intrinsic motivation and perceived control positively predict waste separation behavior, while perceived difficulty has a negative predictive effect. Perceived control mediates the effect of green intrinsic motivation and perceived difficulty on separation behavior.

Sustainable development of people and water resources: taking Karez systems in Xinjiang as an example

2024-11-04T17:21:33+08:00

Xinjiang is situated in the arid inland region of northwest China, belonging to the inland river basin. The replenishment of runoff sources mainly includes precipitation, ice and snow, and groundwater. Precipitation is primarily concentrated in the alpine glacier permafrost zone and the grassland forest belt, while the plain oasis belt and the downstream desert belt receive scant rainfall. The area is characterized by high evaporation and transpiration rates, leading to the local population facing issues of aridity and water scarcity. The Karez system, an ancient water conservancy facility created by the people of Xinjiang in ancient times based on local natural conditions and hydrogeological characteristics, is a very old type of horizontal water-collecting structure for the development and utilization of groundwater. It is suitable for the foothills and the edges of alluvial fans, mainly intercepting groundwater for irrigation and domestic water use, and is widely distributed in the Turpan area of Xinjiang, China. The emergence of the Karez system has formed a unique ecosystem, nurturing the oasis of the Tuha Basin and achieving a balance between humans and water. Regrettably, in recent years, there has been a sharp decline in both the number and water volume of Karez systems, unsettling the equilibrium of the human-water relationship. This paper will delve into the characteristics of water resources in Xinjiang, examine the influence of Karez systems on the water cycle and its utilization, trace the developmental trajectory of Karez systems, and identify the factors contributing to the disruption of the human-water equilibrium. It will offer strategies and future perspectives aimed at achieving sustainable development between human activities and water resources.

Multi-dimensional perception of grid comprehensive fault research and emergency response methods

2024-11-04T17:24:34+08:00

Through the construction of a new generation of emergency command system, coordinate professional resources, access meteorological data from the enterprise meteorological service center and access on-site video from unified video, break data barriers, realize the GIS display capability of meteorological disaster layer and on-site video access, and display and monitor the operation status of power grid equipment in an all-round map. Through multi-dimensional perception such as meteorological and video platforms, power grid fault research is assisted, and structured early warning or emergency response plan is adopted to guide and improve the response ability of each emergency command center in responding to and dealing with emergencies, strengthen the construction of early warning mechanism and improve the emergency response ability.

Exploring Public Attitudes and Sentiments toward ChatGPT in China: A Social Media Text Mining Study

2024-11-04T17:29:47+08:00

With the rapid development of artificial intelligence (AI), especially the breakthroughs in natural language processing, the discussion of generative AI on social media has increased significantly. This paper takes ChatGPT as an example and uses TF-IDF, LDA topic-modeling, co-occurrence matrix, and BERT sentiment analysis to analyze ChatGPT-related blogs on Weibo from June 1, 2023, to April 1, 2024. This paper explores the public's level of attention, sentiment tendency, and hot topics on Weibo regarding ChatGPT. By analyzing the differences in topics and sentiments of different user categories, the public’s attention to ChatGPT in different regions, and the variation trend of public attitudes and topics, this paper uncovers the evolution of public perception and cognitive differences towards ChatGPT. Studies found that the overall attitude of the public on Weibo towards ChatGPT is relatively positive, but there are still some negative views on its performance in professional fields such as law and ethics. Based on the research results, we suggest government, enterprises, and research institutions in terms of AI application, ethical regulation, and education to promote the healthy development and widespread application of AI technology.

Screening of Antagonistic Strain against Phytophthora capsici and Study on Its Physiological-Biochemical Characteristics

2024-11-04T17:35:39+08:00

Pepper (Capsicum annuum L.) is rich in flavors and nutrients, it can be eaten fresh and processed, making it an important economic crop. However, pepper phytophthora blight, caused by Phytophthora capsica, is a devastating soil borne disease of peppers, causing a decrease in yield and quality. In this study, biocontrol agent with high antagonistic effect against P. capsici in vivo were screened, and the physiological and biochemical characteristics and bacteriostatic spectrum of this biocontrol strain were studied. The results showed that among the 30 strains of biocontrol bacteria tested, JK2 strain had an in vivo inhibition rate of 90.48% against P. capsici. JK2 grew rapidly within 2-10 hours after inoculation with spore suspension, and can grow at a temperature of 4-50℃, with an optimal growth temperature of 37℃; It exhibits good growth ability at pH 5-10, with an optimal pH of 7, and can grow in environments with strong acidity (pH=3). In addition, the JK2 strain also showed a high inhibition rate against P. sojae (83.88%). Therefore, JK2 is a highly effective biocontrol agent against P. capsici, and the strain has a broad antibacterial spectrum with inhibiting a variety of pathogens, so it has high application value.

Noise types and formation mechanism of machine vision

2024-11-04T17:44:00+08:00

Surface defect detection based on machine vision is more and more widely used in the industrial field. However, the noise in the image is inevitable, and the quality of filtering and denoising has a decisive impact on the success rate of subsequent defect recognition. This paper summarizes the causes and types of noise in machine vision images. This paper introduces three kinds of noise in detail, including Gaussian noise, Poisson noise and salt and pepper noise. The generation mechanism of the above three kinds of noise is analyzed and displayed in the detection image of electric vehicle magnetic tile components, and the characteristics of the noise are compared in the form of three-dimensional diagram. Finally, the common denoising methods are introduced.

Study on ORR performance of Fe-N-C catalyst for fuel cell

2024-11-14T11:45:41+08:00

In this paper, the Fe-N-C and Fe-N-C_(N) fuel cell catalysts were prepared by using the surface modification method. It was characterized by various methods such as X-ray diffraction (XRD), infrared spectroscopy (FTIR), synchrotron radiation absorption spectrum (XAFS), X-ray photoelectron spectroscopy (XPS). The electrocatalytic activity and mass transfer performance were tested using the rotating disk electrode (RDE) and a single cell test method, comparing the structural and oxygen reduction reaction (ORR) performance of the Fe-N-C and Fe-N-C (N) catalysts. The results show that the strategy of surface modification of specific functional groups, it provides an alternative scheme to overcome the long-standing problems of low utilization of active sites and limited mass transfer at the three-phase interface in the M-N-C catalyst layer, it also provides new enlightenment for the application of M-N-C catalyst in electrochemical energy conversion.

Study on the Optimization of Pump Configuration for Second-Order Raman Fiber Amplifier

2024-11-14T13:36:10+08:00

In this paper, a method for optimizing the forward second-order distributed Raman fiber amplifier (RFA) is proposed. The aim is to optimize the output gain profile of signal light, reduce gain flatness, and decrease the bit error rate (BER) in the subsequent receiving system. Specifically, the Raman theoretical model is solved using the fourth-order Runge-Kutta method in MATLAB, and the particle swarm optimization (PSO) algorithm is applied to appropriately adjust the pump parameters to achieve the objective. In the simulation experiments, a gain bandwidth of 90 nm, an average gain of 30 dB, and a gain flatness of 2.21 dB were ultimately obtained.

Influencing Factors and Predictive Model Construction of Mild Cognitive Impairment after Cerebral Infarction:A retrospective study

2024-11-14T13:46:23+08:00

This study investigated the influencing factors of mild cognitive impairment (MCI) after cerebral infarction and constructed a nomogram prediction model. Logistic regression analysis revealed that age ≥ 70 years, leukoaraiosis, anterior circulation infarction, and hyperhomocysteinemia were independent risk factors for MCI after cerebral infarction. The nomogram model, based on these four factors, showed good discrimination and clinical benefit, suggesting its potential for predicting the risk of MCI after cerebral infarction.

Experimental Study on the Effect of Specimen Placement State on Temperature Control under Thermal Vacuum Environment

2024-11-14T13:58:13+08:00

The thermal vacuum test is a very crucial assessment test in the space environment testing of aerospace power supply products. In the process of the test, facing the complex and diverse module power supply, there is no unified standard to define the specific installation status of the product, which causes the overheating problem of the same product in different installation status under the same test conditions. In order to solve this problem, this paper carried out a test verification study on different installation status of the product, and analyzed the influence of different installation and fastening states of the product, the contact state between the fixture plate and the cold plate, the product placement direction and placement position on the thermal vacuum test. And give rationalization suggestions for the installation status of thermal vacuum test of other aerospace products to reduce the risk of thermal vacuum test of products.

Principle of Mercury precession

2024-11-14T14:08:25+08:00

In the vast universe, Mercury being the closest planet to the sun, has garnered significant attention from scientists due to its unique precession phenomenon. The precession of Mercury is the manifestation of law of Mercury's space motion. Through the study of Mercury's precession, it can promote the understanding of the subtle changes of the Mercury's orbit and position, and also provide reference for the study of other celestial bodies. In this study, the mystery of Mercury's precession will be deeply discussed. First, the basic concept of Mercury's precession and the research progress made by scholars will be expounded. Then, from the perspective of modern theory, the theoretical explanation and aerodynamic mechanism of Mercury's precession will be expounded in detail under the framework of the centrifugal force theory. And on the basis of these theoretical knowledge, this article analyzed the principle of Mercury precession from the aspect of concrete manifestation and physical mechanism, to uncover the science behind it and enlighten the understanding of the laws of planetary motion, and then to speculate the evolution history and future trend of the solar system.

Overall design and cam optimization study of 8-shaped thermal energy car based on motion trajectory iteration

2024-11-14T14:16:34+08:00

In the seventh National College Student Engineering Training Comprehensive Ability Competition in 2021, we conducted an innovative design. This design utilized alcohol thermal energy as the power source and achieved an obstacle-avoiding car. Its purpose was to address the challenges faced during the motion of a thermal energy car, particularly addressing the issue of distortion in the cam tip and push rod caused by high-speed rotation of the Stirling engine. To overcome this problem, we carried out optimization design of the car's cam and trajectory simulation research. After 20 rounds of optimization, the cam tip became smoother. Compared to cases without optimization or with only 10 rounds of optimization, the effect was significantly improved. Additionally, through MATLAB trajectory simulation verification, we observed that the time required for the car to bypass obstacles became more reasonable. Finally, through physical testing, we successfully demonstrated the stability of the car's operation and the appropriate distance between its trajectory and obstacles. This means that we have successfully completed the obstacle-avoidance task. This design not only provides ideas and methods to solve the distortion of the push rod and optimize the trajectory of a thermal energy car but also showcases its excellent quality.

The Sorting of Battery Cells Based on Electrochemical Impedance Spectroscopy

2024-11-14T14:31:48+08:00

The sorting of a group of battery cells with great consistency is critial for the safe and durable operation of battery pack. The conventional methods of battery sorting is based on the linear potential sweep methods, which are complicated and coarse. In this manuscript, the electrochemical impedance spectroscopy was used to determine the kinetic process and electrochemical reactions on the electrodes. There are 41 lithium iron phosphate battery cells(15 Ah) were investigated, and an equivalent circuit was developed to fitted the measure EIS spectrum. The dispersion of the fitting parameters and their variations with SOC were discussed, in which solution resistance R_H, constant phase elements (CPE_Warburg-Y0 and CPE_ct-N) at 100% SOC to identify and selected a group of cells with great consistency. The results showed that the sorted battery bells exhibit great consistency as compared the whole sample group. This manuscript demonstrated a non-destructive and effective method for battery sorting, which are instructive for the field of power battery and energy storage battery.

The Historical Evolution of Green Mining Policies in China

2024-11-14T14:47:35+08:00

While driving economic development, geological prospecting activities inevitably exert an impact on the ecological environment. This paper examines the policy-making process of China's green mining development and emphasizes the significant achievements in green mining after 75 years of exploration. Lastly, the paper offers a forward-looking perspective on China's mines' green development.

The Life Cycle Cost Evaluation Model of Typical Power Grid Equipment Asset

2024-11-14T15:03:24+08:00

The life cycle cost evaluation of the power grid equipment asset is a systematic tool for assessing all the costs associated with the equipment throughout its life cycle, including all stages of planning, design, procurement, installation, operation, maintenance, and decommissioning. By comprehensively calculating these costs, it provides in-depth financial analysis support for the enterprise. The modeling process involves defining objectives and scope, identifying and refining cost elements, collecting data, constructing mathematical models. Through the systematic costing, companies can optimize asset management, improve the accuracy of investment decisions, and effectively control costs throughout the life cycle.

The Application of Medical Information in Clinical Decision Support

2024-11-25T09:55:04+08:00

With the deepening of the reform of the medical and health system, patients have put forward higher requirements for medical technology level and health service quality. Clinical Decision Support System (CDSS) utilizes computerized medical knowledge, combined with patient condition information, and utilizes inference engines to make inferential decisions, thereby helping healthcare professionals make correct decisions and improve their medical skills. Technological progress has driven the growth of CDSS, and its application in hospitals has shown significant results. It is not only a professional learning tool, but also capable of analyzing difficult problems, improving the quality of work for medical staff, and ultimately reducing medical errors. This paper proposes a medical information based CDSS to address issues such as rapid updates of medical knowledge, flexible clinical needs, and heterogeneous information systems among medical institutions. The aim is to improve the accuracy and efficiency of doctor diagnosis and treatment. This system provides doctors with fast and accurate diagnosis and treatment plans through a Clinical Data Center (CDR). The experimental results show that the designed system can achieve decision support for clinical diagnosis, treatment, rational drug use, hospital management, and other aspects, achieving the application effect of improving medical quality.

Ecological Dynamics of Lamprey Parasitism

2024-11-25T11:31:06+08:00

Over the long course of evolution, the lamprey has developed a parasitic predatory strategy, rendering it atypical in most environments. This report investigates the impact of lampreys on ecosystems and their interactions with other organisms, with the primary objective of developing a dynamic model of the population and sex ratio of lampreys. At first, a population dynamics model simulates interactions between male and female lamprey groups, using Lotka-Volterra equations to depict the relationship between lampreys and their primary hosts, Lake Trout and Atlantic Salmon. Changes in the sex ratio reveal the effects of lampreys on the food chain and enable conclusions about ecosystem health based on Atlantic Salmon populations. Secondly, the lifespan of lampreys is studied to evaluate their advantages and disadvantages. A periodic function simulates their reproductive process, combined with a logistic function to analyze population fluctuations under different sex ratios. Eight years of data elucidate why lamprey populations rapidly increase and then stabilize. Thirdly, in the Great Lakes, lampreys are detrimental to the local ecosystem. The Gompertz model simulates the host-parasite relationship to assess benefits to smaller parasites, with Atlantic Salmon used to quantify water quality. The death rate, integrated into the logistic function of the salmon, provides a direct indicator. Additionally, sensitivity analysis examines differential changes in lamprey birth and death rates across various environments, adjusting the model for human impact on the ecosystem. Potential biases in birth and death rates are considered, testing the model's adaptability. Finally, the pros and cons of the models are critically analyzed.

Investigating the Correlation Between pH of Denim Dye Solutions and Color Intensity: An Analytical Study

2024-11-25T11:36:25+08:00

This study investigates the effect of varying pH levels in denim dye solutions on the color intensity achieved in dyed cotton fabric, employing the techniques of UV-Vis Spectrophotometry and ImageJ analysis. Two distinct experiments (A and B) were conducted to analyze the impacts of five specific pH levels (3.00-11.00) on the color intensity of indigo-dyed denim materials. Experiment A revealed a positive correlation between elevated pH levels and enhanced color intensity, reinforcing the hypothesis that the denim dye solutions color intensity is directly tied to its pH. Conversely, Experiment B yielded incongruous findings marred by substantial uncertainty (267%), implying notable random errors stemming from the absence of a catalyst, leading to rapid pH fluctuations and erratic absorbance readings. The results from Experiment A, considered more reliable owing to its reduced uncertainty, support adopting a basic dye solution (pH 11.00) for achieving optimal dyeing results. This recommendation stems from the observed positive correlation between elevated pH levels and enhanced color intensity, likely attributable to heightened interaction between dye molecules and fabric fibers under alkaline conditions. Thus, this investigation underscores the pivotal significance of pH in the dyeing of denim fabrics, offering practical insights for improving dye uptake and color intensity.

Study on Anti-hepatocellular Carcinoma Active Ingredients and Mechanism of Prunella Spica-Figwort Root Based on Network Pharmacology

2024-11-25T11:39:59+08:00

Abstract. Objective: This paper aims to screen the target and mechanism of action of the "Prunella Spica-Figwort Root" combination against hepatocellular carcinoma based on network pharmacology. Methods: The active ingredients and related targets of Prunella Spica and Figwort Root are searched through the TCMSP database (http://tcmspw. com/tcmsp.php), and the target of hepatocellular carcinoma is obtained through the Genecards database (https://www.genecards.org/). Meanwhile, the target of Prunella Spica-Figwort Root acting on hepatocellular carcinoma is generated through their combination. GO function analysis and KEGG enrichment analysis are conducted via the Metascape database (https://www.metascape.org/gp/index.html #/main/step1). The String database (https://string-db.org) is used to construct protein-protein interaction (PPI) and screen the core target genes. Finally, the "drug-active ingredients-target" network is built through Cytoscape 3.7. 2. Results: In this study, 10 active ingredients and 70 hepatocellular carcinoma targets of "Prunella Spica-Figwort Root" are screened out.And got five core target genes: SRC, ESR1, KDR, MAPK14 and MAPK3 through the algorithm. According to GO enrichment results, "Prunella Spica-Figwort Root" may play a role against hepatocellular carcinoma through nuclear receptor activity, hormone response, regulation of defense response, and steroid metabolism. In addition, KEGG enrichment results proved that "Prunella Spica-Figwort Root" may regulate hepatocellular carcinoma through signaling pathways such as AMPK, Apelin, JAK-STAT, and CAMP. Conclusion: "Prunella Spica-Figwort Root" can regulate multiple target genes of hepatocellular carcinoma through various active ingredients. In this study, the mechanism of "Prunella Spica-Figwort Root" against hepatocellular carcinoma is preliminarily discussed, which provides a basis for future research.

The Application of Exosomes in Diagnosis and Treatment

2024-11-25T11:43:29+08:00

Exosomes are extracellular vesicles secreted by human cells with a diameter of 30-150nm. They are surrounded by a Lipid bilayer and contain a variety of biomolecules such as proteins and nucleic acids. Exosomes play a key role in intercellular communication and participate in various physiological and pathological processes, such as tumour proliferation and immune regulation. Nowadays, the methods of diagnosis and treatment of diseases are often invasive, with low accuracy and large sample sizes. The stability and universality of exosomes have opened up a new way for early diagnosis and treatment of diseases and promoted the development of diagnosis and treatment of diseases. This paper analyzes the innate advantages of exosomes in different diseases and emphasizes the application potential in precision medicine.

A Review of Key Technologies in Micro-Nano Robotics

2024-11-25T11:46:05+08:00

Micro-nano robots refer to robots from microns to nanometers. They are driven by external fields such as magnetic, electric, and light, allowing precise positioning and drug transportation in a small space. These robots show tremendous potential. This article reviews the induction, Planning, and control technologies of micro- and nanorobots and explores their future applications in biomediciney.

A Multi-Scale Convolutional Neural Network with Ample Interaction Capability for Mechanical Fault Diagnosis

2024-11-25T11:48:16+08:00

In this work, we explore the fault diagnosis task and build a deep learning model with a new structure. This model takes advantage of the 1-d convolutional neural network model and makes improvements by adding the multi-scale feature extraction of the data, enabling the model to have better performance and robustness, as well as the generalization capability. The experiments are performed on the CWRU dataset with 3 different models compared. The proposed new structure in this paper achieved an accuracy of 99.42% which is higher than the other two methods, and the training cost is relatively small. The proposed method can be utilized to build a well-performed fault diagnosis system in different fault diagnosis tasks and achieve reliable performance.

Collective Behavior of COMSOL-Based Microrobot Swarms in Various Fluids

2024-11-25T12:07:55+08:00

Microrobot swarms hold great promise for targeted therapy at cellular and molecular levels, particularly in hard-to-reach areas of the human body. While progress has been made, most research remains confined to homogeneous fluid environments, overlooking the complex rheological properties of biological fluids. To address this, a fluid-structure coupling model using CFD technology was developed to study the collective behavior of spherical microrobot swarms in Newtonian, shear-thickening, and shear-thinning fluids. By examining lateral and longitudinal swarm motion under varying wall conditions, the research uncovers the hydrodynamic interaction mechanisms, providing a foundation for optimizing microrobot swarm strategies in biomedical applications.

Motion Characteristics of Magnetically Actuated Mirco-Robots and Their Groups in Different Fluid Domains Based on COMSOL Simulation

2024-11-25T12:09:28+08:00

Because of its small size and flexible characteristics, wireless soft-bodied micro-robot has great application prospects in medical and other fields. However, in various application scenarios, micro-robots will face complex and diverse fluid environments. To better understand the motion behavior of the robot in these environments, the power-law fluid model of fluid-structure coupling is used to simulate the motion of the soft-bodied robot in shear thickening fluid, shear thinning.

Research progress of carbon-based anode materials for lithium-ion batteries

2024-11-25T13:31:49+08:00

Lithium-ion batteries have received widespread attention for their high operating voltage, excellent energy density, long cycle life, low self-discharge rate, and environmental friendly characteristics. Currently, carbon-based anode materials are one of the most widely used choices for commercial applications. However, graphitic carbon materials suffer from low theoretical capacity, insufficient initial Coulombic efficiency, poor multiplicative performance, and graphite flake layer detachment due to interaction with electrolyte, and these defects limit their application scope. Although amorphous carbon materials perform better in terms of cycling and multiplicity performance, their large irreversible capacity is also a drawback that cannot be ignored. Therefore, the search for anode materials with better electrochemical performance has become one of the hotspots in current research. This paper summarizes the classification of carbon-based anode materials for lithium-ion batteries in detail, and reviews the recent research progress on the modification of carbon-based anode materials for lithium-ion batteries, including activated porosity, heterogeneous atom doping, and composite materials, etc., and looks forward to its future development direction.

The Roles of CYFRA 21-1 in Cancer

2024-11-25T13:38:03+08:00

CYFRA21-1, The full name is cytokeratin 19 fragment, which is an acidic cell protein. In malignant epithelial tumors, activated proteases cause cellular degradation, and CYFRA21-1 is released in large quantities into body fluids. Clinical diagnosis is made by diagnosing abnormal levels of CYFRA21-1. This article reviews the clinical diagnostic function of CYFRA21-1 in lung cancer, colorectal cancer, bladder cancer and other cancers, and briefly introduces the biological mechanism of CYFRA21-1 as a tumor marker, which provides a basis for clinical diagnosis. Research has shown that CYFRA21-1, as a tumor biomarker, has no tissue or organ specificity, and it is particularly important to combine other indicators for clinical diagnosis. In addition, CYFRA21-1 can be used as a detection indicator for other non tumor diseases, but the specific mechanism lacks relevant research.

Genetically Engineered Drugs and Immunotherapy: Research on Production, Isolation, and Delivery

2024-11-25T13:40:55+08:00

Genetically engineered drugs have strong application potential in immunotherapy. However, there are many limitations in production, isolation and delivery, such as low production efficiency, high cost and impurity content and difficulty in delivery. In addition, the improvement of production isolation and purification, as well as the development of new vectors and delivery systems are indispensable. This paper summarizes the application of genetically engineered drugs in immunotherapy, focusing on the current status and innovation of key steps such as gene editing, isolation, purification and delivery in the production process, which provides insights for the research and development and production of genetically engineered drugs.

Chinese Cabbage Transplanter

2024-11-25T13:55:16+08:00

In response to the problems encountered during the transplanting of Chinese cabbage seedlings, a Chinese cabbage transplanter suitable for farmers has been designed and produced. The main functions of the Chinese cabbage transplanter include seedling transportation, seedling delivery, and seedling planting. Firstly, by designing a specially designed seedling tray, the accurate continuous transportation of individual Chinese cabbage seedlings can be achieved. Then, the Chinese cabbage seedlings are transported to the planting location through a planetary gear mechanism. Finally, the Chinese cabbage seedlings are inserted into the soil wrapped in mechanical claws to complete planting. The team also analyzed and calculated the key components: the planting device, opening and closing device, and seedling conveying device. On this basis, the detailed mechanical structure design was implemented. After the selection and design of the power and control mode of the transplanter, the trial production and testing of the prototype were completed. Featuring high automation, simple operation, low cost, flexible and diverse application scenarios, and adaptability to different farming methods in various regions, the transplanter can be used for self-employed greenhouse planting. After further modification, it can also be used for large-scale planting with a high value of popularization and application.

An analysis on Brain Structural Biomarkers of Externalizing Psychiatric Disorders Based on Statistical Models

2024-11-25T13:59:56+08:00

Adolescence is a critical phase for the onset of various mental and psychological disorders. Yet, traditional diagnostic approaches have overlooked the study of the pathophysiology of mental illnesses in this age group, hindering early intervention and treatment. Consequently, research based on a transdiagnostic approach is indispensable in modern psychiatry, playing a significant role in diagnosing and treating diseases. This study employed high-resolution structural MRI scanning technology combined with mixed linear models to analyze brain imaging data from 11,878 adolescents aged 9-10 across 21 regions in the United States. Additionally, the study incorporated the UPPS Impulsive Behavior Scale and the BIS Impulsivity Scale to assess the relationship between individual behavioral characteristics and brain structural changes. The results revealed that adolescents with externalizing disorders exhibited significantly increased cortical thickness in several brain regions, particularly in the left temporal gyrus and right inferior temporal gyrus. Compared to healthy controls, these patients also showed significant reductions in cortical area in specific brain regions, while white matter FA values were significantly increased in some areas. These structural changes were significantly correlated with behavioral test results for impulsivity and attention deficits, classic symptoms of externalizing disorders. The findings suggest that changes in the cortical structure of adolescents' brains are closely linked to mental health issues, providing potential biomarkers for future preventative and interventional measures to aid in the early identification and treatment of mental illnesses in adolescents.

Research on Rumor Recognition in the Medical and Health Field Based on the Neural Network Model

2024-11-25T14:09:54+08:00

In the digital age, social media has been a vital platform for the public to obtain information and exchange opinions. However, with the accelerating and expanding information dissemination, false information in the healthcare field has begun to spread continuously, posing a threat to the daily life of the public and social construction, especially in epidemic-like public health emergencies. Such a problem is particularly prominent. With the CoAID: COVID-19 rumor dataset from Twitter as experimental data, this paper uses three types of commonly used neural network models for training and testing, and discusses the application of WordNet semantic enhancement technology in rumor recognition, so as to explore the application of these methods to specific research applicability. By comparing and analyzing the recognition effects of different models, this paper investigates the models suitable for health rumor recognition, and puts forward corresponding improvement strategies. Aiming to provide insights and methods for the identification and management of social media health rumors, this paper further improves the credibility and quality of social media health information.

A Five-finger Pneumatic Mechanical Claw Designed by SolidWorks and Analyzed by ANSYS Workbench Simulation

2024-11-25T14:16:02+08:00

With the development of industrial automation and robotics, mechanical claws are increasingly vital in modern manufacturing. In this paper, a five-finger pneumatic mechanical claw is designed and analyzed, which simulates the human hand in its structure with high flexibility and adaptability. SolidWorks is used to model the mechanical claw in three dimensions, and its transient simulation analysis is implemented by ANSYS Workbench to evaluate the performance and reliability in practical work. The results show that such a mechanical claw with good mechanical properties and dynamic response can grasp objects of various shapes. The mechanical claw can complete the grasping action in a short time with a stable dynamic response, which meets the requirements of practical applications.

The effect of seed morphology on the biosynthesis of transglutaminase

2024-11-25T14:38:08+08:00

Transglutaminase (TGase) is a crucial enzyme, widely utilized in the food, pharmaceutical, and textile industries due to its ability to catalyze protein cross-linking reactions. Despite its significant industrial relevance, the effects of spore age and concentration on seed mycelium morphology and subsequent TGase synthesis have not been thoroughly investigated. Moreover, studies on the application of particle-enhanced cultivation techniques are also limited, such as using talc powder to regulate seed morphology and enhance enzymatic activity. This study aims to explore the effects of spore age, concentration, and the addition of talc powder as particles on TGase synthesis. By optimizing spore age and concentration, and precisely controlling seed morphology through particle-enhanced cultivation techniques, we obtained the optimal seed morphology for TGase production, namely free mycelial clumps. The optimal conditions for enzyme synthesis were found to be a spore age of 8 days, a spore concentration of 4.24×107 spores/mL, and a talc powder treatment concentration of 10 g/L. Under these conditions, the enzyme activity reached its peak value of 16.28±0.57 U/mL. These results indicate that precise control of morphology is key to maximizing TGase yield.

Piezoelectric Vibration Energy Harvesting Circuits: A Comprehensive Review

2024-11-25T15:20:12+08:00

With technology advancing day by day, global demand power is increasing very fast. This can be seen from the fact that there is a continually growing demand for energy, which helps reveal the importance of coming up with better means of energy. However, using energy can create environmental issues such as loss of biological diversity and soil contamination. Energy harvesting has emerged as a good way of addressing these problems. It gets done with the help of trapping and recycling energy that might otherwise go to waste in various activities. In this paper, piezoelectric energy harvesting will be emphasized. This is a method that converts mechanical energy to electrical energy. The paper examines enhancements existing in this technology area and discusses what can be expected in the future. By showing both practical uses and theoretical ideas, the paper aims to help reduce wasted energy and encourage more sustainable energy practices.

Review of EEG Signal Recognition and Classification

2024-11-25T15:25:23+08:00

Electroencephalogram (EEG) signals are widely used in neuroscience and clinical medicine, which are non-invasive, real-time and low-cost. However, their complexity and noise interference limit their application in brain stripe recognition, emotion recognition, motor imagination, and epilepsy detection. This paper aims to explore the application of EEG signals in different fields, analyzing the role of deep learning in EEG signal classification and recognition tasks, so as to propose the challenges faced by current technologies and future development. Through the literature review, the definition and analysis of EEG signals are summarized, and its applications in brain striate recognition, emotion recognition, motor imagination and epilepsy detection are discussed in detail. Meanwhile, this paper analyzes the contributions to improving classification accuracy, feature extraction and model generalization ability. Finally, the research status of four sub-fields is discussed, and their research prospects are prospected. With the technology advancement and in-depth interdisciplinary cooperation, EEG signal processing technology will make greater contributions to human health and scientific and technological development.

A Stock Price Prediction Method Based on Liquid Neural Network

2024-11-25T15:33:35+08:00

With the development of the socio-economic landscape, the stock market has become an integral part of the financial system. Real-time stock price prediction helps stakeholders grasp the trends of economic growth and make informed decisions. In this paper, Liquid Neural Networks (LNNs) are applied to stock price prediction, where the dynamic adjustment of weights between neurons provides a better representation of stock market trends. Experimental results show that the LNN-based prediction method delivers results closer to actual stock prices and performs better than traditional algorithms such as decision trees and KNN.

Analyzing the hitting strategy from the mechanics of table tennis

2024-11-25T15:40:55+08:00

Table tennis is a popular sport loved by many people. This paper starts with a mechanical analysis of table tennis to explore feasible hitting strategies for topspin and backspin balls, providing a systematic framework for force analysis. This framework aids in understanding the kinematics and dynamics of table tennis. Additionally, the mechanical analysis offers ideal hitting strategies from a scientific perspective, contributing to the improvement of technical skills in the sport.

Cortical Structure-specific Biomarkers of Adolescent Externalizing Mental Disorders

2024-11-25T15:48:51+08:00

During adolescence, the morphology of the cerebral cortex undergoes significant developmental changes. One of the most fundamental changes during neurodevelopmental is the accelerated thinning of the cortex observed in early adolescence, which differs from the pattern seen in early childhood and adulthood. This process might be driven by many factors, such as cortical myelination and synaptic pruning. Moreover, reduced cortical thickness (CT) during adolescence is associated with impaired psychopathology and cognitive abilities, suggesting that CT could serve as an important biomarker for assessing mental health. Both CT and cortical surface area (SA) in adolescents are associated with various forms of psychopathology, suggesting that neuroimage markers might provide valuable insights into the progression of mental disorders for adolescent. However, these studies often have different age groups and use limited sample sizes, leading to considerable debate about the association of CT and SA changes with adolescents mental disorders. With data from the Adolescent Brain Cognitive Development (ABCD) study, this study combined case-control analysis and a psychopathological stratified classification (HITOP) framework to examine structural changes in CT and SA. Our results suggested that specific cortical structures might change occur throughout the brain in the family diagnosis of externalization disorder. Moreover, different genetic mechanisms could regulate the neurodevelopmental patterns of cortical structures. This study could help clinicians screen for the disease at an earlier stage to facilitate accurate diagnosis and prevention of mental health problems and has important implications for the fields of cognitive psychology and clinical psychiatry.

Research Review of Hard Carbon Anode Materials for Sodium-ion Batteries

2024-11-25T15:51:14+08:00

In recent years, sodium-ion batteries (SIBs) have been regarded as the most promising energy storage batteries to replace lithium batteries for their abundant resources and excellent energy storage capabilities. There are many kinds of anode materials for SIBs, and hard carbon (HC) is considered the most promising anode material for SIBs for its lower cost and high reversible specific capacity. However, the research on HC anode materials is still immature with some problems such as poor cycle performance, low initial Coulombic efficiency and difficult commercialization. In order for HC anode materials to meet the needs of SIBs, the principles of HC for optimization should be understood. This paper reviews recent research on the sodium storage mechanism of HC anode materials and design methods to optimize their electrochemical performance, and introduces four storage mechanisms of sodium ions and optimized modification methods of HC anode materials, which provide references for the research of advanced SIBs.

Living or Dying? Runaway Temperature is Looming

2024-11-25T15:53:31+08:00

Carbon dioxide (CO2) is a gas that contributes to the greenhouse effect, and the amount of CO2 in the atmosphere has increased by about 50% since the Industrial Revolution. The signs of global warming are everywhere, and solving this problem requires analyzing the trend of CO2 concentration and its impact on global temperature. This report will establish mathematical models to verify the accuracy of CO2 concentration and analyze the feasibility of new models. At the same time, two models will be constructed to explore the relationship between global temperature and atmospheric CO2 concentration and predict future trends. The results showed that the trend of carbon dioxide concentration is constantly increasing, whereas the trend of land-ocean temperature appears to be periodic. Pearson correlation analysis found that carbon dioxide was linearly correlated with temperature height, and linear regression further visualized this relationship. The forecast data show that carbon reduction needs to be taken seriously, or the consequences are serious, and both individuals and governments should take measures.

Application of UAV-based 3D modeling and visualization technology in urban planning

2024-11-25T15:59:15+08:00

With the acceleration of urbanization, urban planning is increasingly demanding for data accuracy and visualization capability. UAV-based 3D modeling and visualization technology provides an efficient and accurate solution for urban planning. UAVs collect geographic and architectural information by carrying a variety of sensors to generate high-resolution images and point cloud data, which are further used to construct accurate 3D city models and enhance the realism of the models through texture mapping and optimization. Based on these models, 3D visualization technology provides urban planners with an intuitive means of spatial analysis and dynamic monitoring, and enhances the efficiency of planning and design, environmental monitoring, and construction management. This paper explores examples of the application of UAV technology in urban planning, demonstrating its great potential for improving planning accuracy, management efficiency, and decision support.

Scene identification based on MobileNetV2

2024-11-25T16:01:56+08:00

Scene identification is a computer vision task, which aims to identify and classify environmental scenes in images or video frames. This technology plays a vital role in image retrieval, monitoring systems, and augmented reality. Convolutional neural networks (CNN) play a key role in scene recognition because CNN can capture and extract the features of the scene by simulating the processing mode of the human visual cortex, and realize efficient and accurate scene classification. However, the current scene recognition based on neural networks is generally expensive. In order to propose a solution to this problem, this paper chooses Mobilene ETV 2 lightweight convolutional neural network as the basic model of scene recognition on the premise of Transfer Learning. In this paper, a comparative experiment is carried out on the UC_Merced dataset. The experimental results show that the performance indexes of MobileNetV2-the Accuracy of mobilenetv2 reach 93.57%, the F1_score reaches 93.50%, and the Kappa reaches 93.25%. All of them are better than other neural networks.

Research Progress on Disease Prevention and Treatment of Poa Common Community Greening Turfgrass

2024-11-25T16:05:39+08:00

Poa pratensis, commonly known as Kentucky bluegrass, is a cool-season turfgrass widely used in the world. It has excellent stress resistance and adaptability. However, Poa Pratensis is vulnerable to various diseases, which affect its growth and landscape effect. This paper reviews the primary research on Poa poa diseases in recent years, aiming to summarize the occurrence characteristics, pathogenic bacteria, and pathogenic mechanisms of common diseases and to evaluate the existing control measures. The common diseases of bluegrass include brown spot (Rhizoctonia solani), Pythium Root Rot (Pythium spp.), Rust Disease (Puccinia spp.), Powdery Mildew (Blumeria graminis), Fusarium blight (Fusarium spp.), and summer patch (Magnaporthe poae). The occurrence of these diseases is closely related to environmental conditions and management measures. Although chemical control measures have proven effective in controlling the disease, their long-term use may lead to environmental pollution and drug resistance. Biological control and integrated management strategies have gradually become a research hotspot, showing good application prospects. This review provided theoretical support and reference for future research to explore the ecological mechanism of the disease further, develop more environmentally friendly and efficient control measures, and ensure the healthy growth of Poa grass.

Investigating the absorption and scattering effects of light in different solutions and colloids: an experimental investigation based on Lambert's law and the scattering theorem

2024-11-25T16:07:41+08:00

In chemistry experiments to determine the concentration, light passing through the liquid is mainly considered its absorption effect, i.e., the Lambertian effect. In the actual process, the light through the liquid will also produce part of the scattering and reflection. Therefore, this paper will be based on the effect of light scattering to "expand" the Lambert-Biel effect, that is, considering the simultaneous existence of light absorption and scattering, the use of spectrophotometry, the actual phenomenon of light through the liquid for qualitative and quantitative analysis. Based on this, the paper proposes two conjectures about the relationship between the absorption and scattering of light through the liquid to be measured and establishes two weighting factors. In the experimental stage, this paper mainly used the controlling variables to measure the absorbance of four liquids (milk colloid, copper sulfate solution, sodium chloride solution, and solution mixed with sodium chloride and copper sulfate phase) at different wavelengths and concentrations. In the data processing stage, the paper finalized one of the conjectures by initially analyzing the data obtained from the experiments, derived the function to be fitted from the experimental data, and verified the conjecture proposed in this paper through the correlation of the fit. The method proposed in this paper helps to understand further the relationship between the scattering and absorption of light as it passes through a liquid.

Research on the Influence Mechanism of College Students’ Traffic Travel Mode Based on Association Rules

2024-11-25T16:09:20+08:00

The means of transportation chosen by college students are influenced by many factors. It is important to find out the mechanism of its influencing factors for the analysis of college students’ travel, which helps to improve the environment of their travel. Due to the coupling of various influencing factors, it is difficult for traditional statistical analysis to get intuitive and accurate results. By the association rules in the data mining, the relationship between different factors can be found and the effect of each influencing factor on the choice of travel vehicles can be calculated. In this paper, the Apriori algorithm based on association rules is used to analyze the influencing factors of college students’ choice of transportation mode in Beijing. The results show that the three factors with the greatest influence on college students’ choice of travel mode in Beijing are weather, expense cost and personal characteristics. By mining the internal relationship among various factors, the intuitive data results can be obtained, which can be used as references for relevant departments to adjust the existing traffic layout and plan future traffic development.

Advancements in Rehabilitation Therapy and Imaging for Functional Movement Disorders

2024-11-25T16:11:00+08:00

This article reviews the latest advancements in rehabilitation therapy and imaging research for functional movement disorders. As an important subtype of functional neurological disorders, functional movement disorders are recommended to be treated through a multidisciplinary approach, in which rehabilitation therapy plays a significant role in improving patients' motor control abilities and enhancing their ability to perform daily living activities. Rehabilitation therapies include physical therapy, non-invasive neural stimulation, and occupational therapy, among others. These comprehensive methods aim to precisely enhance patients' functional recovery. Additionally, with the continuous development of imaging techniques such as fMRI, diffusion tensor imaging, and PET, as well as advancements in analytical methods like morphometric analysis and fiber tractography, the neurobiological mechanisms of functional movement disorders have been thoroughly explored, providing crucial technical support for differential diagnosis, therapeutic evaluation, and prognosis prediction. The review aims to provide theoretical foundations for precision rehabilitation therapy and in-depth research on the pathophysiological mechanisms of functional movement disorders.

Targeting the Warburg Effect: Strategies for Cancer Detection and Therapeutic Interventions

2024-11-25T16:12:37+08:00

In 1920, Otto Warburg found that the process, of glycolysis, was active in liver cancer cells even under enough oxygen levels, namely cancers derived energy mainly from glycolysis. He considered it as aerobic glycolysis, due to the mitochondria dysfunction in cancers. However, in this review article, I will briefly list the hallmarks of cancers and depict some alterations in Warburg Effect from modern studies. Also, several benefits to cancers by the Warburg Effect will be added, with the latest noninvasive detection techniques and relative therapeutic targets.

GPS elevation conversion method and accuracy analysis based on artificial neural network

2024-11-25T16:14:06+08:00

After the GPS observation data is processed, the baseline vector and high-precision geodetic height difference between two points can be obtained. If the geodetic height of a point is known, the geodetic height of each point in the whole network can be obtained. The geodetic height is a height system based on the ellipsoid, while the Normal height system based on the quasi Geoid is used in our projects. This paper expounds the basic theories related to the refinement of regional quasi Geoid, introduces the basic principles and applicable conditions of various refinement methods, and introduces the accuracy evaluation methods of the refinement results. Combining with engineering example A, different fitting methods were used for height anomaly fitting using GPS leveling. Based on the fitting results, the advantages and disadvantages of each method were analyzed. ANN has the characteristics of nonlinear mapping ability and model free estimation, and is an effective tool to deal with nonlinear mapping problems. The use of neural network technology to convert GPS elevation is an adaptive mapping method without any assumptions, which is theoretically reasonable. By training the training samples for a limited number of times, the function mapping relationship can be better obtained from the training samples, avoiding the influence of unknown factors, reducing model errors, and thus improving the accuracy of GPS elevation conversion. The experimental results indicate that for the problem of elevation anomaly conversion, the number of hidden layer neurons is generally selected between 15 and 25. For the refinement of large area quasi geoid, the function fitting method is not recommended, because a specific function cannot express the characteristics of large area quasi geoid; In the refinement of large area quasi Geoid, the fitting effect of the ANN fitting method is significantly improved compared with the function fitting method, which reflects the strong ability of ANN to deal with nonlinear problems. Compared with the function fitting method, the ANN method reduces the model error in fitting, and has broad engineering application prospects.

Dynamics of Lampreys Populations: Unraveling Ecological Mysteries and Gender Ratio Adjustments

2024-11-25T16:15:31+08:00

The lampreys, ancient aquatic creatures with elongated bodies and distinctive funnel-shaped heads, are vital scavengers in ecosystems, feeding on parasites and pathogens to maintain ecological balance. A study investigated their population dynamics using the Ricker model, revealing rapid initial growth followed by stabilization, influenced by environmental carrying capacity and resource consumption speed. Gender ratios adjusted based on resource availability, promoting survival and reproduction. A cellular automaton model simulated lamprey populations in the Mediterranean and Lake Michigan, showing seasonal growth and stability with minor adaptations. Linearization and Routh-Hurwitz conditions assessed ecological system stability, indicating equilibrium points corresponding to stable population states, influenced by environmental carrying capacity. The study also quantified the relationship between parasites and lampreys, finding that in resource-scarce environments, a higher female ratio favored parasite growth, while a balanced ratio was optimal in resource-abundant settings.

Research of marine derived wound-healing peptides

2024-11-25T16:17:51+08:00

Wound healing is an important physiological process for functional repair and recovery after tissue injury, including complex biological mechanisms triggered by injury. Many marine derived natural bioactive peptides act on one or more stages of the wound healing process and have good potential to promote wound healing. Compared with traditional drugs, it has the characteristics of low side effects, low immunity, low toxicity, good physiological function, cell permeability and biological diversity, showing the potential of a new generation of healing drugs. This article reviews the origin, mechanisms, clinical application and mining, synthesis, development of marine derived wound-healing peptides.

A high expression strain of DPEase obtained by UV mutagenesis and high throughput screening

2024-11-25T16:19:34+08:00

The high-throughput fluorescence screening strain E. coli BL21/pET-20b-As-DPE-EGFP was constructed by using D-allulose 3-epimerase from Agrobacterium sp. as the target gene, ligating the EGFP green fluorescent protein sequence and the plasmid pET-20b(+) into E·coli BL21 (DE3) competent cells.After the strains were propagated and mutagenesis by ultraviolet light, the production strains with the highest enzyme activity were obtained after single-cell sorting by flow cytometry. Genome sequencing of the experimental strains with the best performance of enzyme activity showed that this may be related to the coding error of the RcsB core protein in the Rcs regulatory system of Enterobacteriaceae.

Progress in the synthesis of 1,5-PDO and some C5 intermediates

2024-11-25T16:21:57+08:00

At present, C4, C5 and C6 platform related chemicals are mainly dependent on petroleum-based petrochemical industry production. However, this production mode is faced with the depletion of fossil raw material reserves and a series of environmental pollution problems caused by the non-virtuous carbon cycle in each catalytic reaction process. Therefore, it has become a development trend to replace the original petrochemical industry production by using microbial cell factories with renewable resources as raw materials. In this paper, the research progress of producing 5-aminovalerate, 5-hydroxyvalerate, and 1, 5-pentanediol in C5 platform chemicals by synthetic biological methods was reviewed, and the direction was pointed out for the construction of strains using glucose as carbon source to synthesize 1, 5-pentanediol and other C5 platform chemicals.

Production of L-arginine by microbial fermentation

2024-11-25T16:29:26+08:00

L-arginine, as one of the essential amino acids for humans and mammals, plays a crucial role in various physiological and biochemical processes, including detoxification, reproductive development, and immunity regulation. Its application has expanded from traditional feed enhancers to medicine, beauty products, and health products due to a deeper understanding of its biological role. Chemical synthesis of L-arginine leads to serious environmental pollution. Currently, protein hydrolysis and microbial fermentation are the main industrial production methods for L-arginine. Compared with other bulk amino acids, L-arginine is still mainly produced by chemical method and protein hydrolysis method. This paper aims to explore the feasibility of microbial fermentation in the production of L-argininer.

Seamless gene knockout of malate synthetase gene improves the yield of pullulan of Aureobasidium pullulans

2024-11-25T16:33:38+08:00

Pullulan is a linear extracellular polysaccharide produced by yeast like fungus Aureobasidium pullulans through fermentation. Due to its high safety, strong stability, good film-forming property and strong oxygen resistance, there is great market potential in the fields of medicine, food additives, cosmetics, etc. This study constructed a seamless recombinant knockout plasmid pUC57-PMA-ms with a hygromycin resistance gene as a screening marker. The plasmid contains a PMA-ms gene fragment, the upstream and downstream homologous arm fragments of the gene, as well as the hygromycin resistance gene fragment. We knock out the malic acid synthase gene in A. pullulans through homologous recombination. Then, two homologous recombination screenings were conducted to obtain strains A. pullulans M1-1 and A. pullulans M1-2 with malic acid synthase gene knockout. The fermentation results showed that the production of pullulan from the engineering strain A. pullulans M1-2 reaches 39.11 g/L, which increases by 9.79 g/L compared to the original strain A. pullulans M1.

Direct separation and charaterization of lignin from paper black liquor

2024-11-25T16:37:15+08:00

Nowadays, the demand for energy is increasing day by day, but fossil energy, such as oil, is becoming more and more exhausted with people's over-exploitation. The most abundant renewable carbon source on the earth is lignocellulose, which has attracted worldwide attention as a substitute for non-renewable resources such as natural gas. Lignin is one of the three main chemical components of plant fiber, serving as a natural aromatic polymer biomass resource to reserve secondary cellulose, and also a key component of paper black liquor in chemical pulp mills. In this experiment, paper black liquor was prepared, characterized, and various data such as pH were determined. Subsequently, the paper black liquor was separated by methanol, with its pH adjusted to 8~12 before being treated with acid to adjust the pH to 2~5. Following acid and methanol separation, the paper black liquor was further characterized through determination of ultraviolet data for calculating lignin yield, infrared spectrum analysis, molecular weight (Mn) determination for lignin samples, and thermal weight analysis. Ultimately, these methods were compared to identify more effective ways of separating lignin from paper black liquor for better utilization.

The effect of gut microbiota on patients with irritable bowel syndrome and depression comorbidity

2024-11-25T16:38:35+08:00

Irritable bowel syndrome (IBS) common conditions that plague many people and can be related to an imbalance in the gut microbiota. In addition, IBS may be complicated by depression, but the impact of gut microbiota on people with IBS and depression has not been determined. This study investigated the effect of gut microbiota on complications of IBS and depression via the ‘gut-brain’ axis. We performed metagenome sequencing for the stool samples collected from healthy controls and from patients with IBS, depression, or the comorbidity of IBS and depression (I&D). Next, we conducted a metagenomic analysis to compare the gut microbiota between different sample groups. We found that Bacteroidales and Clostridiales, including Lachnospiracea_incertae_sedis, Blautia, Faecalibacterium, Coprococcus, Ruminococcus, Paraprevotella, and Gemiger, are major gut microbiota in IBS and depression. This study provides a theoretical basis for the prevention, diet, or other treatment of IBS and depression complications.

A Review of Machine Learning Used in Carbon Emission Prediction

2024-11-25T16:40:08+08:00

As the urgency to mitigate climate change intensifies, predicting CO2 with precision has become increasingly critical. This review synthesizes key advancements in machine learning for carbon emission forecasting, from 154 studies between 2009 to 2022. The review evaluates the performance of various ML models, including Support Vector Machines, Random Forests, Boosting Models, and Neural Networks, highlighting their superiority over traditional statistical methods regarding accuracy and capture of complex dynamics. Despite the progress, challenges such as data quality, model interpretability, and model refinement remain.

Study on the Relationship Between Dietary Patterns and the Occurrence of Chronic Diseases: A Case Study in China

2024-11-25T16:41:34+08:00

The prevalence of chronic diseases poses a significant challenge to public health systems, particularly in aging populations such as China's. This study explores the complex relationship between dietary patterns and chronic disease prevalence using a case study approach in the Chinese context. Through an extensive literature review and methodological analysis, the study examines the impact of dietary patterns on chronic disease susceptibility, drawing on insights from multiple disciplines, including nutrition, epidemiology, and traditional medicine. Using data from the China Health and Retirement Longitudinal Study (CHARLS), the study examines the characteristics and patterns of chronic diseases in the elderly population, using sophisticated sampling techniques to identify trends in comorbidity and health outcomes. The study also examines the role of dietary interventions in reducing chronic disease risk, emphasizing the importance of personalized nutrition plans and the integration of traditional and modern approaches to nutrition therapy. By elucidating the complex interplay between dietary patterns and chronic diseases, this study contributes to the development of targeted interventions and public health policies aimed at improving health outcomes and quality of life for older adults in China and beyond.

Single-Cell RNA Sequencing: Exploring the Cellular Landscape and Interactions in Hepatocellular Carcinoma

2024-11-25T16:43:02+08:00

In this study, we delved into the intricate cellular landscape and interactions within hepatocellular carcinoma (HCC) using single-cell RNA sequencing (scRNA-seq). Our analysis uncovered a diverse array of cell types present in HCC tumors, including endothelial cells, fibroblasts, hepatocytes, Kupffer cells, macrophages, neutrophils, NK cells, pericytes, and proliferating cells. By examining the expression profiles of key marker genes, we elucidated the distinct transcriptional signatures associated with each cell type. Notably, we observed upregulation of certain genes associated with tumor progression and metastasis, highlighting potential therapeutic targets. Additionally, our study revealed the relative proportions of each cell type within HCC tumors, shedding light on the complex cellular composition of these malignancies.

A review: classification and production methods of β-glucan

2024-11-25T16:44:17+08:00

β-Glucan is a biologically active natural polysaccharide, which is widely used in the fields of food, cosmetics and health care supplements. In recent years, β-glucan has become a research hotspot, and its various efficacious uses have been developed one after another. Many studies have reported the optimization methods of β-glucan production and extraction, and the yield has been improved accordingly. This paper reviews the classification of β-glucan and the current production methods, classifies the β-glucan sources and connecting bonds which can be broadly classified into the categories of plants, bacteria, and fungus. It also provides a detailed review of the acid and alkali extraction method, enzyme extraction method and fermentation method. The passage provides theoretical support for future commercialization and industrialization.

HOG1 plays a role in regulating tolerance of various inhibitors in Saccharomyces cerevisiae

2024-11-25T16:48:17+08:00

The use of abundant, green and renewable lignocellulose to produce fuel ethanol is expected to solve the problem of energy shortage. The complex structure of lignocellulose is difficult to be efficiently degraded by microorganisms, and it needs to be converted into monosaccharides such as glucose (C6) and xylose (C5) through pretreatment, enzymatic hydrolysis and other steps before it can be utilized by fermentation microorganisms. Saccharomyces cerevisiae has the advantages of short growth cycle, strong fermentation ability, easy large-scale culture, and strong environmental adaptability. It is an ideal strain for the production of traditional fuel ethanol. Various inhibitors produced during lignocellulosic pretreatment had a great negative effect on the growth and glucose xylose metabolism of S. cerevisiae. Therefore, it is particularly important to improve the tolerance of S. cerevisiae to different inhibitors in lignocellulosic components. In this work, we found that HOG1 gene in S cerevisiae plays an important role in the regulation of acetic acid, furfural, vanillin, and other components of lignocellulosic components. HOG1 gene deletion strains are significantly inhibited under the condition of a single inhibitor, showing sensitivity to different inhibitors.

Modeling Dandelion Seed Dispersion and Population Dynamics: Insights into Invasive Species Impact on Natural Environments

2024-11-25T16:50:23+08:00

Dandelions, known for their robust growth and global distribution, possess vibrant flowers and unique seed heads, along with medicinal and edible properties. This study establishes a seed propagation model considering wind speed variations based on dandelion seed characteristics. Utilizing the Weber distribution to account for differing climatic conditions, a computer simulation depicts seed spread within one hectare. Additionally, a logistic model, adjusted for factors like natural resources and environmental conditions, characterizes dandelion population changes throughout the year. This modified logistic model considers species competitiveness, climate variations, and adjusts the inherent growth rate to create a comprehensive model for invasive species. Computer simulations comparing dandelions, French wild oats, and hard bromegrass reveal that dandelions typically avoid becoming invasive, while the latter two can negatively impact local ecosystems and economic development.

A Study of Driver behavior Based on Structural Equation Modelling in Human-Machine Hybrid Driving Environments

2024-11-25T16:52:22+08:00

Driver behavior in hybrid traffic flow, consisting of both conventional and automated vehicles, is a crucial aspect of studying the balance between urban traffic supply and demand, as well as alleviating future urban traffic congestion. In view of this, this study introduces three variables of driver's attitude, subjective norms and perceived behavioural control based on the theory of planned behavior to construct a structural equation model. The study's results show that drivers' subjective norms can have a significant positive indirect effect on perceived behavioural control through the mediating variable of attitude. These findings can provide a theoretical basis for regulating driver behavior in the future human-machine hybrid driving environment.

Shenzhen Dapeng Peninsula History Deposition Micro Plastic Component Detection and Potential Pollution Source Analysis

2024-11-25T16:53:55+08:00

Plastic garbage flows into the ocean through various tourxs, and the degree of pollution of marine plastic has become increasing and has become a global environment. Studies at home and abroad have shown that micro -plastic seriously harms the health of marine life and human life. The Dapeng Peninsula and its surrounding waters have been used as an important development area for coastal tourism and marine fisheries, and have played an important role in the overall planning of Shenzhen's economy and marine resources in the province. In order to investigate the impact of micro -plastic on the local marine resources, this experiment detected the surface characteristics and components of micro -plastic to investigate the deposition trend and characteristics of the near -shore microplastics in Dapeng Peninsula, and identified the beginning of the pollution of the Eastern Microplastics of Dapeng Peninsula. And analyze the potential causes of micro -plastic pollution. The results showed that there were a large number of micro -plastic fragments and particles deposited in the near -shore waters near the Dapeng Peninsula, and marine fisheries and contemporary coastal tourism may be the main influencing factor affecting the deposition of micro -plastic deposition near the Dapeng Peninsula.

Photovoltaic Power Generation Prospect Analysis in China Based on ARIMA and GM Models

2024-11-25T16:55:14+08:00

This paper proposes a predictive outlook for the future of China's energy development based on the current development status of photovoltaic power stations. This paper uses GM (1,1) and ARIMA models to predict power generation, and then the ARIMA - GM combination prediction model obtained by weighting method was conducted. The residual p-value of ARIMA model is 0.953, and the rank ratio interval of GM model is (0.917, 1.091). At the same time, the relative error rate of the ARIMA - GM model used in this article is 0.207, and its fitting effect is better than the ARIMA model (0.249) and GM model (0.262), indicating the effectiveness of the method used and results showed in this paper.

Challenges and recent progress in ursodeoxycholic acid production

2024-11-25T16:57:13+08:00

Ursodeoxycholic acid (UDCA) is a widely used pharmacologically active natural bile acid, which can dissolve cholesterol gallstones and improve liver function in cases of cholestasis. UDCA was originally obtained from the bile of live bears, but environmental and animal welfare concerns have made this source increasingly problematic, and increased demand for alternatives. Today, chemical and enzyme-catalyzed syntheses are often used to produce UDCA. Research hot topics have concentrated on UDCA-related precursors with plentiful sources and affordable prices due to the significance of UDCA in the drug treatment of human cholesterol stones and other associated disorders. In this review, the state of research on the chemical and biological synthesis of UDCA from different materials [cholic acid (CA), chenodeoxycholic acid (CDCA), hyodeoxycholic acid (HDCA), etc.] is summarized and analyzed, to guide and inform future research on commercial UDCA production.

Terahertz Multi-Torque Double-Loop Mutual Coupling Chip and Its Application in Nuclear Sewage Detection

2024-11-25T17:00:48+08:00

The rapid detection of radioactive elements in nuclear sewage in seawater is of great significance to the marine ecological environment and human life and health. At this stage, the water quality testing process is complex, the detection cycle is long and the cost is high, which cannot meet the needs of real-time monitoring of marine nuclear polluted water quality. In this paper, a highly sensitive terahertz detection chip (Multi-torque double-ring mutual coupling chip) was designed based on the terahertz wave with strong absorption of polar molecules, and the terahertz spectrum was obtained by simulating and testing different sewage samples, and the spectral differences between the same sample and different samples were studied. The experimental data show that the outer ring and the inner ring have the same direction of surface current and similar electric field intensity distribution, and can play a great role in mutual superposition and enhancement effect when resonant, the transmission characteristics can reach -54dB, and the figure of merit can reach 447. Moreover, the spectrum recognition of different seawater pollution samples is good, and the nuclear sewage and purified water samples can be clearly distinguished. On this basis, the chip structure, material selection, refractive index design and related parameter simulation are further optimized, which provides a new detection technology and idea for marine quality monitoring, which can be widely used in the real-time monitoring of marine nuclear pollution water quality and the high-sensitivity identification of other water-soluble liquids, which is of great significance to marine ecological environmental protection, industrial sewage treatment monitoring and other fields.

Study on the Potential of Biocontrol fungi to Control Hemiptera Insect pests in Grape

2024-11-25T17:04:34+08:00

Using ‘Chardonnay’ grape as the test material, the field plot experiment method was used to set up four treatments: biocontrol group (Beauveria bassiana fungicide A and B), pesticide group (cypermethrin) and blank control (CK). The insecticidal effect of biocontrol agent and pesticide was compared by investigating the number of grape maculatus cicada and aphids after spraying twice in spring. To explore the potential of biocontrol fungi for grape hemiptera pest control, in order to provide reference for biocontrol agents for grape pest control. The results showed that biocontrol agents Group A and B both achieved the best control effect on spotted lanternfly and aphids after 9 days. The control effect of agent A was 97.65%、95.64%, respectively, and agent B was 96.57%、97.51%, respectively. The control effect of the high cypermethrin pesticide group reached the best effect on the 6th day, but with the increase of spraying time, the control effect increased first and then decreased. The half-lethal time (LT₅₀) of the pesticide group was 2.5 ± 0.05 d、2.17 ± 0.29 d, respectively, and the LT₅₀ of agent A group was 4.67 ± 0.29 d、4.83 ± 0.29 d, the LT₅₀ of agent B was 4.83 ± 0.58 d、4.17 ± 0.29 d, respectively. In conclusion, Beauveria bassiana spray had better control effect on Spotted Lanternfly and grape aphids than the pesticide cypermethrin, and there was no significant difference in control effect between the stable groups, but the insecticidal quick effect was relatively poor.

Allele - Specific Oligonucleotide - Based Amplification Analysis for Measurement of Allopurinol Pharmacogenomics

2024-11-25T17:07:00+08:00

Pharmacogenomics documented that allopurinol-induced severe cutaneous adverse reactions (SCARs) were associated with genetic polymorphism of HLA-B*58:01. Accurate HLA-B*58:01 genotyping can guide allopurinol medication. In this study, a quantitative amplification analysis was designed and verified for detection of HLA-B*58:01 allele, in which allele-specific (AS) forward primer, reverse primer and hydrolysis probe were employed to match three locus in HLA-B*58:01 allele, respectively, and the second mismatch base was introduced at the 3' end of the primer. The robustness assessment appeared that the amplification efficiency was 81.5%, and the limit of detection (LOD) was at least 1.25 ng genomic DNA. No interfering substance was found to across react in the assay. Furthermore, the open-bottle experiment demonstrated 100% of coincidence rate. In conclusion, the established amplification analysis can be utilized as a valuable tool to guide allopurinol delivery in the treatment of hyperuricemia.

Studies on 4-hydroxyisoleucine

2024-11-25T17:08:42+08:00

(2S,3R,4S)-4-Hydroxyisoleucine (4-HIL) is a promising drug for treating type II diabetes mellitus. Currently, there are three main methods for obtaining 4-HIL: chemical synthesis, raw material extraction, and biosynthesis. The conventional chemical synthesis, separation, and extraction methods have several disadvantages, including cumbersome steps, high costs, high content of environmental pollution by-products, and poor sustainability. In contrast, the biosynthesis method is characterised by low cost, high sustainability, mild reaction conditions, and environmental friendliness. Therefore, the catalytic synthesis of 4-HIL using the biological enzyme method has become a current research hotspot.

Research progress on production methods of ε-poly-l-lysine

2024-11-25T17:11:14+08:00

ε-poly-l-lysine (ε-PL) is a safe and environmentally friendly natural biological preservative, by 25~35 lysine residues through the intermolecular carboxyl group and amino amino condensation to form an amide bond to form l-lysine homopolymer, with high antibacterial activity, degradation in the human body must l-lysine, used in food and cosmetics and other industries. It is widely used in the United States, Japan and China. At present, the production cost of ε-PL is too high, and it is mainly produced by the fermentation of Streptomyces, but the Streptomyces is a non-GRAS(Generally Recognized As Safe) strain, not a general food-grade strain certified by the US Food and Drug Administration. In this review, the current biotechnological fermentation methods of Streptomyces albicans to produce ε-PL and the research progress of heterogenic expression of ε-PL through genetic engineering were reviewed. Increasing the output of ε-PL is of great significance for breaking the technological blockade and improving the core competitiveness of our country. The purpose of this review is to use genetic engineering technology to combine fermentation production, improve the yield of ε-PL from the genetic level, construct food-grade production strains, and further expand the method of ε-PL production.

First principles study on the effect of nitrogen doping on the formation energy of substitutional tin in germanium

2024-11-25T17:12:55+08:00

In integrated circuits, germanium (Ge) is the core material. Because of Ge's indirect bandgap structure, its ability to produce light efficiently is relatively low. Adding tin (Sn) to germanium can turn it into a material with a direct bandgap, potentially making it a light source for silicon-based photonic interconnect chips. However, obtaining high-quality single crystals of GeSn with a high concentration of Sn is difficult. Experiments show that adding nitrogen (N) can increase the concentration of Sn. This study used first-principles calculations based on density functional theory to explore how adding N affects the formation of substitutional Sn in GeSn alloys. The results indicate that the presence of N changes the electron density around the Ge-Sn bond, which involves the formation energy of substitutional Sn.

Several Issues to Be Considered in Submarine Escape and Rescue And Some Suggestions

2024-11-25T17:17:40+08:00

The submarine has occupied a place in naval battles with their unique quality as its geniture, and along with the development of submarine escape and rescue technology. Statistics show that the rate of submarine accidents especially significant accidents of submarine still occur in the international community after the Cold War. Therefore, the capability of submarine escape and rescue has become the core requirement of the operating country. The article reviews the statistical regulations of historical disabled submarine, expounds the environmental characteristics of the submarine compartment, introduces the ways to escape, discusses the impact on rescue capability. Finally, some suggestions are given for the development of submarine rescue technology.

Research on Brain MRI Image Segmentation Based on Improved Unet

2024-11-25T17:20:46+08:00

Accurate segmentation of brain tumors plays an important role in assisting doctors in clinical diagnosis and treatment. A brain tumor segmentation algorithm based on an improved U-Net network is proposed to address the shortcomings of traditional U-Net networks in brain tumor segmentation accuracy. Propose to combine the U-Net model with ResNeXt50, using ResNeXt50 as the encoder part of U-net, utilizing its powerful feature extraction capability, and then passing these features to the decoder part of U-net for segmentation. At the same time, adding channel attention mechanism makes the model pay more attention to important feature channels to improve segmentation performance. By introducing variable convolution, the model's adaptability to complex shapes in medical images can be increased, improving segmentation accuracy. This model was tested on the LGG Segmentation Dataset dataset, with Dice values as high as 94.66% and Iou values as high as 90.34%. Comparative experiments were conducted with other models, and the results showed that our model has better segmentation performance compared to other segmentation models, and can clearly and effectively segment skin lesion images.

The impact of El Nino Southern Oscillation on stratospheric Quasi-Biennial Oscillation structure revealed by ECMWF reanalysis data

2024-11-25T17:23:42+08:00

We explored the influence of El Nino-Southern Oscillation (ENSO) on the stratospheric Quasi-Biennial Oscillation (QBO) by analyzing the European Central for Medium-range Weather Forecasts (ECMWF) reanalysis data from 1958 to 2017. Results show that the influence of the warm ENSO phase on the stratospheric QBO is more significant than the cold ENSO phase event. The amplitude of QBO westerly phase is decreased in El Nino condition and is enhanced in La Nina condition around 50 hPa. The influence of ENSO on QBOE phase amplitude is not significant around 50 hPa. ENSO phases have obvious effects on tropospheric zonal wind structure. The role of Kelvin wave may be important for the influence of ENSO phase on the zonal wind structure from troposphere to stratosphere. The tropospheric convection activity is more stronger during El Nino condition compared to La Nina condition which leads to more Kelvin waves excited during El Nino condition around the tropopause regions.

Effects of Three Factors on Anionic Redox Reactions in Li-doped Mn-based Layered Oxide Cathodes for Na-ion Batteries

2024-11-25T17:33:29+08:00

Anionic redox reactions (ARR) in Mn-based layered oxides for sodium-ion batteries have gained attention recently. Lithium doping is often used to activate ARR. This study examines three factors affecting the structure and electrochemical performance of Na_xLi_yMn_1-_yO₂: sodium content, lithium content, and quenching temperature after calcination. With a fixed Li content of 0.1, ARR contribution first decreases, then increases as sodium content rises from 0.64 to 0.69. Higher quenching temperatures increase initial Mn³⁺ content, reducing ARR capacity and open-circuit voltage while promoting Mn³⁺ oxidation. Varying Li content alters the material's structure, morphology, and electrochemical properties; a Li content of 0.175 enhances ARR, achieving maximum capacity and stability in Na_0.67Li_0.175Mn_0.825O₂. This work advances the use of ARR in layered oxide cathodes for sodium-ion batteries.

Quality Assessment of CMPAS Precipitation Product Data over the Dadu River Basin

2024-11-25T17:44:17+08:00

The Dadu River is the largest tributary of the Minjiang system in the Yangtze River basin. In recent years, frequent storm events in the upper reaches of the Yangtze River have made accurate evaluation of precipitation data in the basin particularly important. The CMPAS (CMA Multi-source Precipitation Analysis System) precipitation product, generated by the National Meteorological Information Center through the fusion of multiple data sources, boasts high spatial and temporal resolution. This study evaluates the accuracy of CMPAS precipitation data at an hourly scale for the Dadu River basin and applies it to the distributed Xinanjiang model to assess the results of hourly runoff simulation. The results show that the spatial distribution of hourly CMPAS precipitation data aligns with isohyets, and the overall accuracy indicators of the data are relatively good. However, the reliability in terms of precipitation identification and hydrological simulation is poor, and the error distribution is uneven. Consequently, while CMPAS precipitation data can serve as a reference for the spatial distribution of precipitation in the Dadu River basin, further calibration is required for its use in hydrological forecasting and other applications.

Research on Key Technologies and Value Creation for Large-Scale Development of New Energy

2024-11-25T17:47:47+08:00

In the context of promoting high-quality development of large new energy bases in the Gobi Desert and other areas, it is urgent to conduct researches on key technologies for large-scale development and utilization of new energy, as well as on value analysis and value creation of the new energy industry, so as to derive relevant recommendations for industrial and policy development. This project starts from the key technologies for “wind-solar-thermal-storage” integrated and efficient development and utilization, and focuses on the scale ratio study of wind power and solar power generation to achieve power source complementation and stable operation. At the same time, based on the scale advantages and agglomeration effects brought by large-scale development of new energy, it analyzes the value orientation and value creation model of the industrial chain based on the current status and trends of new energy development, and puts forward opinions and suggestions from both industrial and corporate perspectives.

Study on Synthesis of Propionic Acid by Microorganism Oxidation of Propanol

2024-11-26T09:00:06+08:00

【Objective】This paper discussed a method for the synthesis of propionic acid by microbial oxidation of propanol, using propanol as substrate.By comparing the acid production of the Gluconobacter oxydans, Acetobacter pasteurianus and Vinegar bacteria ,the three strains rich in alcohol oxidase and aldehyde oxidase system,select the strain with higher acid production and optimize fermentation conditions to obtain ideal fermentation results.【Methods】All three strains used different substrate concentrations for the initial fed-batch fermentation ,Select Vinegar bacteria for Fermentation and optimized fermentation conditions，The optimization method is to adjust the substrate ratio of 1:2 (glucose:propanol) to 2:1 (glucose:propanol), and add 60% concentration of glucose in the fed-batch process, and the ratio of the feed (glucose:propanol) is also 2:1.【Results】The fermentation period of Gluconobacter oxydans was 60h, the conversion rate was 14.84%, the propionic acid yield was 7.55 g/L, and the yield was 0.126 g/L/h; The fermentation period of Acetobacter pasteurianus is 98h, the conversion rate can reach 42.13 % at 30h, the yield of propionic acid can reach 18.09 g/L, and the yield is 0.185 g/L/h; The fermentation period of Vinegar bacteria is 102h, the propionic acid yield can reach 21.13g/L at 78h, the conversion rate is 26.42%, and the yield is 0.271 g/L/h, but when the fermentation period was 42h, the yield was only 1.3 g/L, and the rate was only 0.03 g/L/h. In the optimized scheme, in the same fermentation period, the yield was 16.13 g/L, and the rate was 0.38 g/L/h, an increase of 11.67 times.【Conclusion】All three strains can use propanol as a substrate to produce propionic acid, and 1 has the highest yield. When the initial fermentation substrate of 1 increases the glucose concentration and when glucose is fed during the fermentation process, Glucose provides NADH for the conversion of propanol and propionic acid, and propionic acid production is increased.

Mining and biosynthesis strategies of sea cucumber antimicrobial peptides

2024-11-26T09:06:11+08:00

With the abuse of antibiotics, more and more drug-resistant strains have emerged clinically Antimicrobial peptides kill bacteria by inhibiting the synthesis of nucleic acid and protein in cell membrane and regulating cellular immune response. Because of its bactericidal mechanism, antimicrobial peptides can kill many gram-negative bacteria and gram-positive bacteria and are not easy to develop drug resistance, they are good candidates for a new generation of antibiotics to treat multidrug-resistant bacteria Sea cucumber is one of the excellent sources of antimicrobial peptides, but there are few studies on antimicrobial peptides based on sea cucumber at present With the deciphering of genomic proteomic information of sea cucumber and the publication of antimicrobial peptides of sea cucumber, it has attracted wide attention, which provides a new way for rapid acquisition of antimicrobial peptides of sea cucumber In this paper, the characteristics and mechanism of antimicrobial peptides from sea cucumber were summarized, and the mining and preparation strategies of antimicrobial peptides from sea cucumber were summarized.

Numerical Simulation of the Impact of Dark Matter and Dark Energy on the Early Evolution of the Universe

2024-11-26T09:10:05+08:00

This article endeavors to delve into the impact of dark matter and dark energy on the development of the early universe by employing numerical simulations. To accomplish this, an intricate numerical simulation model is devised. By modulating the parameters of dark matter and dark energy within this model, we observe and scrutinize the universe's evolution across various parameter configurations. Our findings underscore dark matter's pivotal role as the primary constituent of cosmic structure, significantly influencing galaxy formation and evolution. Moreover, dark energy's presence is instrumental in driving the universe's accelerated expansion, thereby altering the expansion rates of galaxies and the universe's overall architecture. Numerical simulations further substantiate the crucial part played by dark matter and dark energy in cosmic evolution. These simulations provide deeper insights into their properties and mechanisms of action during the universe's nascent stages. Building on these findings, future research will strive to unravel further mysteries surrounding dark matter and dark energy's roles in the universe's evolution.

Data-Driven Urban Traffic Flow Prediction and Optimization of Intelligent Transportation Systems in Hong Kong

2024-11-26T09:13:07+08:00

This article delves into the optimization of intelligent transportation systems, specifically focusing on the practical impact of a deep learning-based traffic flow forecasting model. The introduction highlights the severity of urban congestion, emphasizes the significance of intelligent systems, and outlines the study's objectives. To this end, the LSTM model is employed for traffic flow prediction, accompanied by a comprehensive experimental design aimed at validating both model accuracy and strategy effectiveness. Throughout the experimentation, extensive traffic data is gathered, the model is refined, and its predictions are integrated into various intelligent transportation aspects, including signal control and route planning. Findings reveal the LSTM model's strong performance in traffic flow forecasting, characterized by high accuracy. At the same time, the optimization strategy based on the prediction results has also achieved remarkable results, effectively reducing traffic congestion. This result proves the great potential of deep learning in intelligent transportation system optimization. This study not only has theoretical value, but also provides useful reference for practical application.

Evaluating the Impact of Online Database Integration on the Performance of a Sun Glare Detection Model: A Case Study from a Chinese High School Gym

2024-11-26T09:18:04+08:00

The Rob flow sun glare dataset is integrated with the study to train the model to achieve the best performance for object detection on sun glares in a Chinese school gym. The results demonstrate that models trained with “Robflow” data have the worst performance, and models trained by combining the local and “Robflow” data perform slightly worse than those trained with local data. However, the models trained with combined data require fewer epochs to reach high performance and are more stable than those trained with local data.

Study on the effect of environmental administrative punishment on the digital transformation of heavy polluting enterprises

2024-11-26T09:21:44+08:00

With the continuous enhancement of global environmental protection awareness and the in-depth promotion of China's environmental governance, the governance effect of environmental administrative punishment has played a positive role in the transformation and upgrading of heavy-polluting enterprises. The implementation effect of different punishment tools, because of their different characteristics and emphasis, presents its characteristics. For heavy-polluting enterprises, digital transformation is not only the upgrading and innovation of the technical level but also the profound reshaping and optimization of the sustainable development path. This study shows that among the three regulatory tools, shutdown and rectification can effectively promote enterprises' digital transformation, environmental fines can inhibit enterprises' digital transformation, and environmental warnings have no significant impact on enterprises' digital transformation. This paper deeply discusses the impact of heterogeneous environmental administrative punishment tools on the digital transformation of heavy-polluting enterprises and their differential effects in order to provide more accurate theoretical support and practical guidance for the formulation and implementation of environmental policies.

Research on the Application of Neural Network in Electronic Information Encryption and Decryption

2024-11-26T09:26:47+08:00

This paper explores the application of neural networks in electronic information encryption and decryption, investigating how deep learning technology can be utilized to enhance the security and efficiency of encryption algorithms. The article first introduces the development history of neural networks and their promising applications in the field of information security. It then provides a detailed description of an encryption and decryption framework built by combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. This framework employs CNN to extract features from plaintext data and uses LSTM networks to dynamically generate keys and initialization vectors (IV) for the Advanced Encryption Standard (AES) algorithm, thereby enhancing the randomness and anti-cracking capabilities of the encryption. Experimental results indicate that this method significantly improves upon traditional AES algorithms in terms of security, flexibility, and encryption strength. Additionally, it demonstrates advantages in automated feature extraction and reducing the workload associated with manually designing features. The research presented in this paper not only holds theoretical value but also has practical significance for safeguarding national information security and promoting the development of information technologyr.

Using machine learning to optimize the personalized training scheme of intelligent fitness equipment

2024-11-26T09:38:18+08:00

Intelligent fitness equipment can monitor the user's movement state and body index in real time by integrating sensors and human-computer interaction interface, and provide data support for personalized training. In this study, the Gradient Boosting Decision Trees (GBDT) algorithm in machine learning is adopted, and a model is constructed to generate a personalized training scheme by combining multi-dimensional information such as the user's physical indicators, sports performance and feedback. The experimental results show that the prediction accuracy of the model on training data is over 90%, and it can be dynamically adjusted according to real-time data and feedback from users, which significantly improves training effect and user satisfaction. The experimental results show that the personalized training scheme based on machine learning can comprehensively consider the multi-dimensional information of users, realize dynamic adjustment, and continuously improve the quality of training services with the learning and optimization of the model. This study not only promotes the development of intelligent fitness equipment, but also provides new ideas and methods for personalized service in the fitness industry.

Research on the Development trend of children's furniture design -- Visualization analysis based on CiteSpace

2024-11-26T09:54:40+08:00

With the implementation of the three-child policy, there will be more children in the future. Children's furniture accompany children a lot of time, have a certain impact on the development of mind. This paper aims to analyze the research situation of children's furniture design in China from 2000 to 2021 and provide ideas for future research on children's furniture design. CiteSpace software was used to visualize the literature collected by CNKI from 2000 to 2021, focusing on the number of publications, research institutions, keywords, etc. According to the number of published papers, relevant researches can be divided into two stages. Literature collected in 3 disciplines; The research institutions are mainly agriculture and forestry colleges; Most of the authors work in a mentor-centered team. Key words only "growability" centrality > 0.1; Through keyword cluster analysis and prominence analysis, 8 clusters and 4 development stages were obtained respectively.Related research is greatly affected by fertility policy and lacks interdisciplinary research. School-enterprise cooperation is less; The research hotspot is scattered, there is no central keyword; Research on topics such as innovation and sustainability is not deep enough.

Multibeam bathymetry based on multiple geometric models and coverage overlap analysis

2024-11-26T10:25:42+08:00

In this paper, we mainly study the multibeam bathymetry bandwidth and overlap rate calculation and the optimization of survey path schemes under different sea conditions. Based on the basic idea of constructing different geometric mathematical models, the geometric relationship between adjacent multibeam survey strips is expressed, and then the plane geometric model for calculating the measurement bandwidth and overlap rate between adjacent strips is established; the three-dimensional simulation scheme of multibeam bathymetry and three-dimensional simulation diagrams of profiles with special geometric relationship are drawn, and the three-dimensional slope is reduced to a two-dimensional plane based on the geometric relationship of space, and the spatial angle is calculated to obtain the three-dimensional geometric model. The three-dimensional geometric model is obtained by calculating the angle between the survey paths and the normal plane of the seabed slope according to the idea of plane geometry. To validate the model of a single slope, a system of nonlinear equations is then set up and solved using an iterative algorithm to obtain the shortest survey path that realizes the full coverage of the measurement. A scatter fit is applied to prove that it conforms to the geometric law..

Model-free Trajectory Tracking Control for Single UAV

2024-11-26T10:39:07+08:00

For the UAV trajectory tracking control problem in the presence of data packet loss, an adaptive model-free control scheme is proposed. Firstly, the local dynamic linearization technique is used to establish the input-output data mapping of the UAV, and in order to avoid the unmodeled dynamics inevitably caused by the system identification of the UAV, a data-driven idea control scheme is proposed based on the above data mapping, which incorporates the dynamic behavior of the UAV into the pseudo-partial derivatives, and uses a projection algorithm to adaptively estimate the dynamics of the UAV, and the compressed mapping method is used to demonstrate the Stability. Simulation experiments verify the effectiveness of the algorithm described in this paper.

Sugar substitute test applications for bakery products

2024-11-26T10:48:26+08:00

With the development of sugar-substituted food, bakery products have been more and more concerned about the health of consumers. Erythritol, as a natural sweetener, is difficult to directly replace sugar in bakery products due to its unique physicochemical properties and needs to be compounded with different raw materials to achieve the best sugar-substituting effect. This paper explores the product development of erythritol in sucrose-free bread, sucrose-free croissants and sucrose-free cakes. Different compounding ratios were determined. In whole wheat bread sugar substitution; the content of energy, carbohydrate and sodium in the sugar substitution group was significantly lower than that in the sucrose group, with a decrease of 7.0%, 13.2% and 4%, respectively, and the content of dietary fibre was significantly higher than that in the sucrose group, and increased by 38.8%. For sucrose-free croissants: the energy and carbohydrate contents of the sugar substitute group were significantly lower than those of the full-sugar group, with decreases of 3.8% and 6.4%, respectively, and the content of dietary fibre was higher than that of the full-sugar group. For sucrose-free cake: the energy and carbohydrate contents of the sugar substitute group were significantly lower than those of the sucrose group by 9.6% and 25%, respectivelyr.

Screening of salt tolerance indexes in embryogenic and non-embryogenic callus of grape

2024-11-26T11:00:41+08:00

Salt stress seriously affects grape yield and quality and has become one of the major abiotic stresses that constrain the development of the grape industry. In the actual research process, it is difficult and time costing to obtain transgenic grape seedlings through genetic transformation system. Therefore, the establishment of a rapid identification system of salt tolerance in grapes using callus as materials is necessary to identify the function of genes in salt stress response. In the present study, different concentrations of NaCl were applied to embryogenic and non-embryogenic callus tissues, and salt tolerance indexes were measured. The results were analyzed to determine the best indexes to characterize the salt tolerance of different grapevine callus, which would lay the foundation for the rapid identification of salt tolerance genes in grapes. The growth status was observed after 28 days and parameters such as growth (in dishes), MDA content, free proline content and relative electrical conductivity were determined. It was ultimately found that electrical conductivity increased more in merlot and shiraz than in other salt tolerance indicators and was the most sensitive to changes in salt stress, so it was determined that electrical conductivity could be used tomonitor changes in salt tolerance in grapevine callus tissues.