bluuebunny/crossref_metadata_2025 huggingface dataset:
Photovoltaic Power Generation Prospect Analysis in China Based on ARIMA and GM Models
Authors: Leng Jinman , Liu Fuji , Zhang Chenyuan
Published: December 2024

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.
Numerical Simulation of the Impact of Dark Matter and Dark Energy on the Early Evolution of the Universe
Authors: Zhang Jiayi
Published: December 2024

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.
Research on the Application of Neural Network in Electronic Information Encryption and Decryption
Authors: Ding Yingqi
Published: December 2024

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.
A Review on the Progress of Text-based Image Retrieval Technology
Authors: Ma Rongchao , Cui Xiaofan , Li Wenjing , Lu Liang
Published: December 2024

In the context of the rapid growth of multimedia data, the importance of text-based image retrieval technology has become increasingly prominent and is widely applied in numerous fields. To promote the development of this technology, this paper reviews the text-based image retrieval technology in recent years. Firstly, the basic principle of text-based image retrieval is elaborated. Then, the main methods of text-based image retrieval are introduced with emphasis, including methods based on traditional features, deep learning methods, multimodal fusion methods, and so on. Finally, this paper also discusses the typical applications of text-based image retrieval technology in image search engines, social media, Electronic Commerce, education and teaching, and the identification and retrieval of details in pictures, and points out the challenges such as the cross-modal semantic gap, large-scale data processing, and real-time requirements.
Analysis on decoupling effect of transportation carbon emissions in Inner Mongolia, China
Authors: Liu Xiaoyan
Published: December 2024

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
Authors: Hua Xiaofei
Published: December 2024

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.
Study on the Influencing Factors of Insulation Failure on Surface of PCB in Switching Power Supply
Authors: Guo Lingqi , Zhang Chuang , Zhang Shuo , Li Xinlu , Li Shengtao , Liu Na
Published: December 2024

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.
A highway classification method based on floating cars and Moran's index
Authors: He Jin , Zhang Yiyong , Yang Shencheng , Xu Xiaoyu , Li Shaopeng
Published: December 2024

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.
Research on Ecological Protection and Restoration Technology of Fushun West Open pit Mine in Liaoning Province
Authors: Xiao Ping , Yan Xu , Wang Xuefeng , Deng Ying , Xie Shaoming , Sun Lei , Xing Ye
Published: December 2024

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.
Numerical Simulation Study on the Average Air Velocity Circle in Coal Mine Roadway
Authors: He Min
Published: December 2024

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.
Numerical simulation study of impingement atomization of kerosene propellant
Authors: Zhong Jiahui , Zhao Xinjun , Wang Xinyan , Yin Shunhua , Chai Jin , Xian Guang
Published: December 2024

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.
Exploring Public Attitudes and Sentiments toward ChatGPT in China: A Social Media Text Mining Study
Authors: Zheng Hanghan , Xu Weilan , Huang Anan , Kang Yuchen , Feng Zhengjie , Zeng Zhiyun
Published: December 2024

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.
Study on ORR performance of Fe-N-C catalyst for fuel cell
Authors: Tang Bin , Shao Wei , Wang Yan , Yang Mengwei , He Qinggang
Published: December 2024

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.
Influencing Factors and Predictive Model Construction of Mild Cognitive Impairment after Cerebral Infarction:A retrospective study
Authors: Cai Hairong , Cai Xingui , Cai Huiling , Hu Yao , Zhang Weizhang , Zhuang Jieqin , Huang Jinyue , Chen Li , Zhao Shuai , Chen Bojun , Ye Ye , Huang Qiuping , Lin Minru
Published: December 2024

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
Authors: Guo Xiaoyan , Tian Xin , Yu Wentao , Lv Haiqing , Mu Cheng , Wang Shuchao , Li Qiang , Liu Jialin , Tang Xiaojun
Published: December 2024

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.
Effects of Three Factors on Anionic Redox Reactions in Li-doped Mn-based Layered Oxide Cathodes for Na-ion Batteries
Authors: Zhang Yixuan , Liu Guoqiang
Published: December 2024

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 NaxLiyMn1-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 Na0.67Li0.175Mn0.825O2. This work advances the use of ARR in layered oxide cathodes for sodium-ion batteries.
Research on Adaptive Segmentation Algorithm for Highway Roadside Video Images Based on Unet Networks
Authors: Xie Bin , Li Shuyue
Published: December 2024

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.
The Carbon Emission Reduction Contribution of Clean Energy Power Generation from the Perspective of Carbon Emissions Flow: Evidence from Pingliang, China
Authors: Dong Hui , Zhang Peng , Dong Huanbao , Jia Najuan
Published: December 2024

The carbon emission flow of the power system, as a new direction for carbon emission reduction in the power system, provides new ideas for the measurement of carbon emissions in the power system and other issues. This paper aims to propose a method for calculating the carbon emission flow of the power system that takes into account the carbon reduction contribution of new energy, based on the carbon emission flow of the power system, and conducts an empirical analysis in Pingliang City, China. The specific approach is as follows: First, based on the actual network of Pingliang City, the system's power flow distribution is re-determined without considering network losses. Secondly, the carbon emission flow of the network is calculated according to the power flow distribution. Finally, an empirical analysis is conducted through examples, and the results show that the basic method proposed in this paper, which takes into account the output of clean energy in the power system's carbon emission flow, can estimate the carbon reduction contribution of new energy, providing new ideas for the low-carbon development of the power system.
Research and application of key technologies for "zero carbon" construction in old revolutionary base areas
Authors: Ma Longyi , Cai Jianlong , Xiang Guangyan , Song Ying , Wei Yuanqing
Published: December 2024

In the construction and development of the new era, in order to consolidate and expand the achievements of poverty alleviation, effectively connect rural revitalization, infrastructure construction and red culture, promote green and low-carbon development, and support the construction of key cities in old revolutionary base areas, the existing documents and policies clearly state that local special funds, transfer payments, matching support and matching cooperation should be fully demonstrated. We will continue to improve the policy system for supporting the revitalization and development of old revolutionary base areas in the new era, and strive to create a good atmosphere for the whole society to support and participate in the revitalization and development of old revolutionary base areas. Therefore, on the basis of understanding the development status of "zero carbon" construction in the new era, this paper takes the smart energy multi-energy complementary integrated energy management system as an example to deeply explore the key technologies and effective countermeasures of "zero carbon" construction in the old revolutionary base area.
Research on Information Security of Key Systems for Intelligent Connected Vehicles
Authors: Ning Yuqiao , Chen Yang , Huang Zhe , Xue Shihao
Published: December 2024

Telematics is a new industry that deeply integrates new-generation network communication technology with vehicles, electronics, transportation and other fields, and is an important driving force for promoting the high-quality development of manufacturing, accelerating economic transformation and upgrading, and building a new development pattern. Along with the development of automotive intelligence and network connectivity, the threat of cyberattacks has accelerated to spread to the vehicle end and vehicle networking platform. In this paper, we look at the typical information security problems of automotive parts and components such as in-vehicle infotainment systems, telematics box, and driver fatigue detection systems, and propose corresponding mitigation and repair measures.
Research on Wind Load Values for Mountainous Photovoltaic Arrays Based on Wind Tunnel Experiments
Authors: Tian Rui , Gan Huahui , Wu Yuan , Nie Fengfeng , Xu Yazhou
Published: December 2024

The pressure measurements of wind tunnel test on a rigid structural model were conducted to investigate the terrain effects and shading effects on the wind loads of photovoltaic modules in a mountainous photovoltaic power station. The experimental results indicate that as the terrain slope increases, the shading effect gradually diminishes. When the terrain slope is equal to or greater than 30°, the shading effect is no longer significant, and the first row of photovoltaic modules is no longer in the most unfavorable wind load position. When the terrain slope is less than or equal to 15°, the terrain has almost no effect on the wind pressure coefficient of the photovoltaic modules. Furthermore, due to the alteration of airflow direction by the terrain, when the tilt angle of the photovoltaic modules is less than the terrain slope, the lower surfaces of the photovoltaic modules experience an upward thrust. For the design of photovoltaic support structures on steep terrain, it is advisable to select a larger tilt angle for the photovoltaic modules, provided that it does not significantly impact energy generation efficiency.
Isolation and identification of postharvest pathogenic bacteria of mango and antibacterial test of 36 essential oils
Authors: Lu Qiyu , Xie Yongdong , Guo Qiliang , Zhu Yanzhou , Xu Mingting , Liu Ji
Published: December 2024

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.
Research on the Collaborative Development and Evolution Mechanism of the New Type Power System Industry Chain
Authors: Jia Yufang , Yuan Bo , Gong Yichun
Published: December 2024

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.
Investigating the Correlation Between pH of Denim Dye Solutions and Color Intensity: An Analytical Study
Authors: Wei Jiaqi
Published: December 2024

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.
Analysis of the impact of the development of artificial intelligence on the employment of China's labor force
Authors: Wang Ping
Published: December 2024

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.
A Review of Key Technologies in Micro-Nano Robotics
Authors: Li Liao
Published: December 2024

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
Authors: Xu Weishi
Published: December 2024

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.
Genetically Engineered Drugs and Immunotherapy: Research on Production, Isolation, and Delivery
Authors: Liu Runzhuo
Published: December 2024

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
Authors: Tian Chengjun
Published: December 2024

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
Authors: Jin Zhengxian
Published: December 2024

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 Review of Hard Carbon Anode Materials for Sodium-ion Batteries
Authors: Li Kangdi
Published: December 2024

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
Authors: Zhou Qixuan , Zhu Zhixi , Sun Youyue
Published: December 2024

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.
Evaluación de Metodologías Modernas en ELT en la Universidad Técnica de Cotopaxi
Authors: Cisneros-Yánez Mary Paz , Huertas-Rubio Francisco Javier , Chiluisa-Chiluisa Marcia Janeth
Published: December 2024

This study evaluated the use of modern English Language Teaching (ELT) methodologies at the Technical University of Cotopaxi (UTC) and analyzed their frequency, perceived effectiveness, and challenges. Using a quantitative approach, data were collected through a structured digital questionnaire administered to 20 teachers to explore their beliefs and classroom practices. The responses were analyzed using SPSS software, focusing on descriptive statistics and visual representations through graphs and tables. The results showed that traditional methods dominated teaching practices, accounting for 60% of activities, while modern methodologies such as CLT and TBLT were used less frequently, at 20% and 10%, respectively. Despite their limited applications, these approaches were perceived as more effective, with TBLT rated at 75% effectiveness. Important barriers identified included insufficient teacher training, limited technological resources, and resistance to change. The study concludes that addressing these barriers through professional development, infrastructure investment, and curriculum redesign could enhance the implementation of innovative ELT methodologies. These findings contribute to the understanding of teaching practices at the UTC and offer actionable recommendations for aligning education with global standards.
Does Teeth Clenching Affect Dynamic Balance in Young Adults?
Authors: Atalay Emre Serdar , Ocak Elif Dilem
Published: December 2024

This study aimed to investigate the changes in the dynamic balance of individuals during teeth clenching. Thirty-eight healthy individuals aged between 18 and 24 were included. Participants underwent dynamic balance testing twice on the HURsmart balance device, with clenching and without clenching their teeth. Maximum values at endpoints were recorded as test outcomes. There was no significant difference between pre-and post-teeth clenching in all directions (p>0.05). The study findings suggest that clenching teeth does not have an immediate effect on balance in healthy individuals. Assessing balance in cases with temporomandibular joint dysfunction may yield different results in future studies.
A IMPORTÂNCIA DO CURSO DE PEDAGOGIA PARA OS GESTORES ESCOLARES
Authors: Nascimento Carlos Alexandre do
Published: December 2024

Este artigo explora a importância do curso de Pedagogia para profissionais que atuam na gestão escolar, destacando como essa formação proporciona uma base teórica e prática essencial para o desenvolvimento de lideranças escolares eficazes. A formação pedagógica possibilita aos gestores a compreensão das necessidades educacionais e organizacionais, fornecendo-lhes ferramentas para uma atuação que vai além dos aspectos administrativos tradicionais. Estudos de autores como Libâneo (2004) e Lück (2000) evidenciam que gestores com formação em Pedagogia desenvolvem habilidades específicas para a criação de ambientes colaborativos e inclusivos, que promovem a participação ativa da comunidade escolar e respondem às demandas contemporâneas do ensino. A análise inclui uma revisão detalhada de artigos e diretrizes, como a Base Nacional Comum Curricular (BNCC), que destacam a importância de uma liderança pedagógica que valorize a diversidade, a inclusão e o desenvolvimento integral dos alunos. Gestores formados em Pedagogia possuem maior habilidade para mediar conflitos, apoiar práticas pedagógicas inovadoras e liderar a equipe escolar de forma participativa. Esses gestores demonstram um entendimento ampliado sobre a importância de práticas educativas que vão além da simples transmissão de conhecimentos, promovendo uma cultura escolar de acolhimento e crescimento mútuo. Ao oferecer uma visão abrangente dos desafios e das necessidades de uma formação específica para o exercício da liderança educacional, este estudo enfatiza que a presença de gestores com formação em Pedagogia nas escolas é essencial para a promoção de uma educação de qualidade, na qual todos os envolvidos se sintam valorizados e engajados com os objetivos educacionais compartilhados.
Masyarakat Melek Investasi: Program Pengabdian untuk Peningkatan Literasi Keuangan
Authors: Supriatiningsih Supriatiningsih , Nova Rini  , Ahmad Darda  , Sandra Dewi Elizabet Kaunang  , Bono Prambudi
Published: December 2024

Masyarakat Melek Investasi adalah inisiatif program pengabdian yang bertujuan untuk meningkatkan literasi keuangan di kalangan masyarakat. Dengan semakin kompleksnya dunia keuangan dan meningkatnya peluang investasi, pemahaman yang baik tentang pengelolaan keuangan dan investasi menjadi sangat penting. Program ini mencakup serangkaian kegiatan edukasi, pelatihan, dan workshop yang dirancang untuk memberikan pengetahuan dasar mengenai investasi, risiko, dan manajemen keuangan. Melalui pendekatan interaktif dan partisipatif, peserta diharapkan mampu mengembangkan keterampilan dan sikap positif terhadap investasi yang cerdas dan berkelanjutan. Pengabdian kepada masyarakat telah dilakukan oleh tim dosen dari Universitas Teknologi Muhammadiyah Jakarta. Hasil dari program ini diharapkan tidak hanya meningkatkan pengetahuan peserta, tetapi juga mendorong mereka untuk mengambil keputusan keuangan yang lebih bijak dan bertanggung jawab, sehingga berkontribusi pada kesejahteraan ekonomi masyarakat secara keseluruhan.
Classification of NOx Emission in Marine Engines Utilizing kNN-Based Machine Learning Algorithms
Authors: Memiş Samet , Şener Ramazan
Published: December 2024

Marine diesel engines are crucial for powering large vessels in the maritime sector and are known for their efficiency across various industries. However, increasing environmental concerns and stringent regulations targeting air pollutants such as nitrogen oxides (NOx) and particulate matter (PM) have heightened the need for advanced emission control technologies. Addressing this challenge, the study focuses on developing a reliable method to predict NOx emission levels in marine engines, reducing reliance on resource-intensive experimental testing. Leveraging machine learning techniques, particularly k-nearest neighbors (kNN)-based algorithms, the research classifies NOx emissions in marine engines operating under the Reactivity-Controlled Compression Ignition (RCCI) strategy. Comparative performance analysis reveals that the FPFS-kNN algorithm achieves the highest accuracy (90.00%) alongside strong precision (84.23%), recall (82.37%), and F1 score (82.47%). These findings underscore the potential of machine learning in emission prediction and highlight directions for future exploration in this domain.
O PRINCÍPIO EDUCATIVO DO TRABALHO: EMANCIPAÇÃO HUMANA E ALIENAÇÃO NO CONTEXTO CAPITALISTA
Authors: De Almeida Adriana
Published: December 2024

A pesquisa aborda a dimensão ontológica do trabalho e sua relação com a alienação na sociedade capitalista, destacando o trabalho como fundamento da existência humana. O objetivo geral é analisar a teoria do princípio educativo do trabalho e sua relação com o processo de emancipação humana. As hipóteses propostas sugerem que o trabalho, como princípio educativo, atua nas duas dimensões da educação – adaptação e emancipação – integrando ciência, cultura e trabalho, enquanto, no contexto capitalista, o trabalho alienado reforça a adaptação e limita a discussão emancipatória da educação. Para investigar essas questões, a metodologia utilizada consiste em uma revisão de literatura de autores clássicos do materialismo histórico-dialético e contemporâneos, com uma reflexão crítica sobre as relações entre trabalho e educação. Os principais resultados indicam que o trabalho, além de sua dimensão ontológica, possui uma perspectiva educativa que integra ciência, cultura e trabalho, sendo essencial na formação educativa.
A UTILIZAÇÃO DOS RECURSOS TECNOLÓGICOS COMO FERRAMENTA DE AVALIAÇÃO: OLHARES DE COMO OS APLICATIVOS PODEM AJUDAR O PROCESSO AVALIATIVO DO ENSINO DE CIÊNCIAS, ESTUDO REALIZADO NA ESCOLA PROFESSORA TEREZA SIQUEIRA TUPINAMBÁ, MANAUS-AM/BR, NO PERÍODO DE 2023-2024
Authors: De Moura Almir Sampaio
Published: December 2024

This work is a research that aimed to investigate how the use of educational applications contribute to improve the performance in the evaluations of students in the 9th grade of elementary school at the teacher Tereza Siqueira Tupinambá school Manaus-AM/Brazil. To reach the questions previously evidenced by the researcher, this investigation had the following specific objectives: To investigate the different concepts and thoughts that permeate the understanding of teachers and their pedagogical practices about the evaluation of student learning, to conceptualize the evaluation, characterizing some approaches that are inserted in the teaching/learning process, and to point out how the use of educational applications,  as well as innovative methodologies enable the teacher to have a better evaluation tool. The type of research carried out was exploratory, descriptive and had a qualitative and quantitative focus, the professors who teach the discipline of science and 120 students from the 9th grade participated in the research. The descriptors that support this research were authors with renowned research that deal with the historicity of the teacher training process, as well as the evaluation process and system, and authors who investigate the advancement in the educational technological process. Data collection took place between 2023 and 2024. The results found refer to a broad discussion with the aim of improving the operational aspects for the good development of the teaching work in the perspective of offering the population a quality education based on the use of computerized educational tools.