bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemberdayaan UMKM Melalui Layanan Tamades Pada PT BPR BKK Karangmalang (Perseroda) Kabupaten Sragen
Authors: Jesicha Mutiara Dewi  , Fitri Rohmadzany  , Jaryanto Jaryanto
Published: July 2024

Fundraising strategies implemented by financial institutions are currently increasingly diverse. This collection is carried out to increase the value of customer transactions and increase customer interest in using products offered by financial institutions, especially BPRs. Banking conducts promotions to the public to introduce its various products either through existing media or by providing benefits such as rewards to customers. In addition, to attract customers, the bank provides the best service, both in excellent service, guaranteed security of funds deposited by customers, interest rates according to customer needs, and a variety of products. The method used in this research is descriptive method. With data obtained from observation and interviews with employees and customers of PT. BPR BKK Karangmalang. PT. BPR Karangmalang has superior products, namely products that are most in demand by customers, especially MSME players. This product is a type of third party fundraising product known as Tamades. This Tamades service provides many advantages for MSME players to deposit their funds, because interest rates are very favorable for third parties, good service, easy procedures for making Tamades, and other benefits for customers.
Pengaruh Good Corporate Governance Terhadap Nilai Perusahaan Dengan Kinerja Keuangan Sebagai Variabel Mediasi
Authors: Elizabet Desi Astuti  , Saring Suhendro
Published: July 2024

This research aims to determine the effect of good corporate governance on company value with financial performance as a mediating variable in manufacturing companies listed on the Indonesia Stock Exchange in the 2017-2021 period. This research is a type of quantitative research that uses a sample of 652 data obtained from 154 manufacturing companies. The technique for analyzing data in this research uses the classic assumption test, path analysis, and hypothesis testing with the f test, t test, and coefficient of determination test. Based on the results of data analysis, it can be concluded that (1) institutional ownership has a negative effect on company value, (2) managerial ownership has a negative effect on company value, (3) institutional ownership has a positive effect on financial performance, (4) managerial ownership has no effect on financial performance , (5) financial performance has a positive effect on company value, (6) institutional ownership has a positive effect on company value through financial performance, (7) managerial ownership has a positive effect on company value through financial performance.
Analisis Fundamental Makro, Struktur Kepemilikan, Fundamental Mikro Terhadap Nilai Perusahaan Dengan Manajemen Laba, Kinerja Keuangan dan Karakteristik Perusahaan Pada Perusahaan Sub Sektor Pertambangan Yang Terdaftar Bursa Efek Indonesia 2018-2023
Authors: Arfindo Hermawan  , Hwihanus Hwihanus
Published: July 2024

This research aims to analyze whether there is an influence of Macro Fundamental Analysis, Ownership Structure, Micro Fundamentals on Company Value with Profit Management, Financial Performance and Company Characteristics in Mining Sub Sector Companies Listed on the Indonesian Stock Exchange 2018-2023. The research used in the research is quantitative method research. The type of data used in this research is secondary data obtained from searching and reviewing annual reports of mining companies listed on the BEI (Indonesian Stock Exchange) for the period 2018 - 2023 via the official website www.idx.co.id, the company's official website, and use supporting journals related to this research. The samples used were 6 mining companies selected using a purposive sampling method, then processed or analyzed using the Smart-PLS version 4 application. The results of this research show that Micro Fundamentals have no significant effect on Company Characteristics, while Macro Fundamentals and Ownership Structure have a significant effect. on Company Characteristics. Micro Fundamentals and Ownership Structure do not have a significant influence on Financial Performance, while Macro Fundamentals have a significant influence on Financial Performance. Macro Fundamentals, Micro Fundamentals and Ownership Structure do not have a significant effect on Earnings Management. Macro Fundamentals, Micro Fundamentals, Company Characteristics, Financial Performance, Earnings Management and Ownership Structure do not have a significant effect on Company Value.
Ability of lactate, procalcitonin, and criteria defining sepsis to predict 30-day mortality, bacteremia, and microbiologically confirmed infection in patients with infection suspicion treated in emergency departments
Authors: Rubio-Díaz Rafael , Julián-Jiménez Agustín , González del Castillo Juan , García-Lamberechts Eric Jorge , Huarte Sanz Itziar , Navarro Bustos Carmen , Candel González Francisco Javier , Beneyto Martín Pedro
Published: July 2024

Objetivo. Evaluar y comparar la capacidad del lactato, la procalcitonina (PCT) y de los criterios definitorios de sepsis (síndrome de respuesta inflamatoria sistémica –SRIS– y del quick Sepsis-related Organ Failure Assessment –qSOFA–) para predecir mortalidad a 30 días, o infección –con confirmación microbiológica o bacteriemia verdadera (BV)– en los pacientes que acuden al servicio de urgencias hospitalario (SUH) por un episodio de sospecha de infección. Método. Estudio observacional de cohortes, multicéntrico, prospectivo. Se incluyó por oportunidad a pacientes $ 18 años atendidos por sospecha de infección en 71 SUH españoles desde el 01/10/2019 al 31/03/2020. Se analizó la capacidad predictiva con el área bajo la curva (ABC) de la característica operativa del receptor (COR) y puntos de decisión predeterminados. Resultados. Se incluyeron 4.439 pacientes con edad media de 67 (18) años, 2.648 (59,7%) fueron hombres, fallecieron a los 30 días 459 (10,3%), se consideraron BV 899 (20,2%) y se consiguió confirmación microbiológica en 2.057 (46,3%). Para la mortalidad a 30 días la mejor ABC-COR fue la obtenida con el modelo qSOFA $ 2 más lactato $ 2 mmol/l con un ABC-COR de 0,738 (0,711-0,765). Para predecir BV y confirmación microbiológica el mejor rendimiento se obtuvo con el modelo de SRIS $ 2 más PCT $ 0,51 ng/ml, con un ABC-COR de 0,890 (0,880-0,901) y 0,713 (0,698-0,728), respectivamente. Conclusiones. Para la predicción de mortalidad a 30 días, el qSOFA $ 2 es superior al SRIS $ 2 y el mejor rendimiento lo consigue el modelo qSOFA $ 2 más lactato $ 2 mmol/l. Para predecir BV y confirmación microbiológica, la PCT es superior al lactato y el mejor rendimiento lo obtiene el modelo SRIS $ 2 más PCT $ 0,51 ng/ml.
Presentation of the Prehospital Emergency Research Network and an analysis of bibliometric indicators for scientific productivity in out-of-hospital care
Authors: Castejón-de la Encina Mª Elena , Delgado Sánchez Ricardo , Ayuso Baptista Fernando , López Mesa Fernando , Castro Delgado Rafael
Published: July 2024

La investigación permite mejorar el conocimiento científico y su aplicación a la práctica profesional. En la asistencia extrahospitalaria, muchos de los avances provienen de entornos hospitalarios, quizás debido a dificultades inherentes al entorno extrahospitalario (heterogeneidad, dificultad en la recogida de datos, sesgos no controlados). Las redes de investigación permiten, entre otras cosas, la interconexión de distintos investigadores y la homogenización en la recogida de datos. En este artículo presentamos la Red de Investigación en Emergencias Prehospitalarias (RINVEMER) y los resultados de un análisis bibliométrico de la producción científica en emergencias prehospitalarias en España. Desde 1975 se han publicado 512 trabajos en revistas indexadas en la Web of Science (el primero en 1999), realizados por 381 investigadores españoles del ámbito de las emergencias prehospitalarias [máximo en Empresa Pública de Emergencias Sanitarias (EPES) de Andalucía, con 61 autores], con un claro incremento en los últimos 2 años. Además, se han realizado 63 tesis doctorales (máximo en Universidad de Oviedo, con 8). La producción científica en emergencias extrahospitalarias en España ha crecido sustancialmente en los últimos años, y la creación de RINVEMER permitirá mejorar las interconexiones entre los investigadores.
Research on the Construction of Portrait of Higher Vocational College Students' Groups Based on Clustering Ensemble
Authors: Wang Huihui
Published: July 2024

The rapid development of higher vocational education necessitates personalized teaching tailored to individual students. This paper presents an ensemble optimized clustering framework to classify higher vocational college students accurately. By integrating multiple clustering algorithms and employing optimization mechanisms, the framework enhances clustering quality. Experiments on real student data show that this method excels in clustering performance and adapts to various feature data types, yielding results aligned with actual situations. This research provides a data foundation for personalized education in higher vocational colleges, promoting educational equity and cultivating skilled talents.
The Shaping of Sound Focus in Film and Television Sound Mixing
Authors: Chen Houshu
Published: July 2024

Sound Focus aims to adopt the concept of "focus" as the core reference of sound creation. Solve the problem of how art and technology are combined in sound production. Sound focus can "break the surface with the point" in the process of sound optimization to achieve a clear artistic expression. From the perspective of film and television sound mixing creation, this paper explains the means of displaying sound focus in the process of mixing and shrinking in the later stage of the film. And achieve the goal of improving the overall sound production effect.
A Comparative Study of the Commencement Speeches in Harvard University and Peking University Presidents’ Commencement Speeches Based on the Hofstede’s Cultural Dimensions Theory
Authors: Wang Xinyi
Published: July 2024

In recent years, a growing number of studies have probed into university presidents’ commencement speeches from various perspectives. Nevertheless, research from the perspective of cultural dimensions has received little scholarly attention. This paper explores the cultural differences revealed in the commencement speeches of the presidents of Harvard University and Peking University from 2012 to 2021, through which a deeper insight into the diversities between Chinese and American cultures can be gained. Based on four aspects of Hofstede’s cultural dimensions, namely, Power Distance, Individualism and Collectivism, Long-term and Short-term Orientation, and Indulgence and Restraint, this paper conducts a textual and qualitative analysis of commencement speeches. This study will be conducive to a better understanding of the cultural differences between China and America. Meanwhile, it contributes to further research on this subject from a new perspective.
The Impact of Tourism Development on Mosuo Marriage and Family
Authors: Du Kaiyan
Published: July 2024

Tourism development has had a significant impact on the contemporary social transformation of the Mosuo people, especially on their marriage and family. Since the rise of tourism in the Lugu Lake area, the Mosuo society has gradually changed from a traditional agriculture-based livelihood to a tourism-based livelihood. The marital radius of the Mosuo people has also extended with the expansion of the scope of interactions. The previous custom of 'walking marriage' has gradually transitioned to the nuclear family model, and the traditional matriarchal extended family has also been slowly reduced to a smaller family size. The division of labor of the family members has been adjusted accordingly. Through the study of the Mosuo marriage and family changes under the tourism industry, not only can we find the path of change of the local traditional culture, but also can make some thoughts on the impact of the current tourism development in ethnic areas.
“Silk Road Utopia”: The Construction of National Image along the Belt and Road Initiative by Chinese Travel Variety Shows—— Taking Divas Hit The Road Season V as an Example
Authors: Fan Luomeng
Published: July 2024

The news documentary Divas Hit The Road Season V, jointly produced by Hunan Radio and Television News Center and Mango TV, was broadcast, which showed the stories of young people and locals in countries along the Belt and Road Initiative and China. Based on the theory of space production, this paper analyses the construction of the national image of the Silk Road countries by the program. It was found that the program produced the Silk Road countries into a utopian national image through character setting, visual aesthetics and scene creation. “Silk Road Utopia” includes its culture, life and international relations. However, it should also be pointed out that the national image presented by the program is a filtered national image.
Analysis of the Current Situation and Influencing Factors of the Satisfaction of the Elderly Living in Social Welfare Institutions in Lhasa City
Authors: Sun Siyu
Published: July 2024

Elderly is an important livelihood issue, and the aging of China is becoming more and more serious, accompanied by the miniaturization of family structure and empty nest. In order to cope with these problems, the development of institutionalized elderly care has been urgent. At present, China's nursing homes introduced public-private partnership, medical care, embedded and other pension models, but by geography, natural environment and historical development and other factors, the level of nursing homes around the world to start a different level of nursing service satisfaction is one of the important indicators to measure its level. In this paper, we conducted a research on Lhasa Social Welfare Institutions that practiced the public-private partnership and medical-nursing integration model, and the results showed that their satisfaction score was 81.9%, which was high. Multiple linear regression analysis found that gender, age, and education level significantly affect satisfaction. This paper reveals the operation of nursing homes in border ethnic areas, adds information to related studies, and provides suggestions for the development of nursing homes and the supply-side reform of nursing services.
Application of Multi-Factor Financial Models in Asset Pricing
Authors: Liang Sihan
Published: July 2024

This paper explores the theoretical underpinnings and practical applications of multi-factor models in stock portfolio management. It outlines the theoretical frameworks of multi-factor asset pricing models such as APT theory, Fama-French three-factor, and five-factor models, analyzing how various risk factors influence asset returns. The study then discusses methods for identifying core risk factors empirically, constructing portfolios, optimizing weight allocations, and evaluating investment performance. Empirical testing using data from the CSI 300 and CSI 800 indices confirms that optimized multi-factor portfolios achieve significant excess returns while managing risk effectively, showcasing the practical utility of this quantitative investment framework in the Chinese A-share market.
Study on the Evaluation of Technological Innovation Efficiency of Industrial Enterprises in Central and Western China: Based on DEA approach
Authors: Zheng Dongquan
Published: July 2024

Based on the importance of industrial innovation efficiency, this paper conducts dynamic and static analyses of the technological innovation efficiency of industrial enterprises in the central and western areas of China from years 2010 to 2021 using the DEA-BCC model and Malmquist index based on relevant data. The results indicate that the efficiency of technological innovation in China has steadily increased, with the innovation efficiency in the central and western areas stabilizing at a relatively high level. Additionally, the study identifies that the prosperity of local industries significantly influences industrial scientific and technological innovation efficiency. Consequently, the article provides more specific recommendations for formulating industrial policies that impact industrial prosperity.
Inversion of Underground Target by Satellite Gravity Gradient Signal Considering Terrain Interference
Authors: An Wenkai , Zhao Shuhong
Published: July 2024

This paper explores using satellite gravity gradiometry to detect underground targets. It discusses measured signals including target body, terrain interference, and global background signals. Formulas and principles for calculating these signals are provided. Simulation results show that a 5 million cubic meter sphere generates a gravity gradient signal of  to   at 200 km altitude. Terrain interference signals are around  for a 100 km × 100 km area. The paper presents a parametric inversion method based on full tensor gravity gradient signals for target detection. Inversion experiments consider noise and terrain deduction, with 100 iterations for error analysis.
A study of the impact of digital investment on corporate environmental performance
Authors: Li Xinrui
Published: July 2024

The improvement of corporate environmental performance is an important way to realize sustainable development.This article, based on a sample of Chinese non-financial A-share listed companies from 2013 to 2022, attempts to determine the extent to which digital investment can facilitate the improvement of corporate environmental performance. The study finds that digital investment can significantly improve corporate environmental performance. The mechanism study finds that digital investment can improve corporate environmental performance by enhancing corporate green innovation. Furthermore, the conclusions remain robust to instrumental variable substitution and endogeneity issues.
ESG Rating Divergence and Trade Credit Financing : Promotion or Inhibition ?
Authors: Yue Zhifeng
Published: July 2024

ESG plays a key role in promoting sustainable development strategies. Data integrators integrate ESG-related information of enterprises and provide measurable reference for investors. However, different ESG rating agencies have different rating results for the same enterprise, which brings trouble to users in evaluating company information and formulating relevant investment strategies. This paper takes 2009-2022 Shanghai and Shenzhen A-share listed companies as the research object, and examines the relationship between ESG rating divergence and trade credit financing from the perspective of supply chain financing. The study finds that ESG rating divergence significantly inhibits the trade credit financing of enterprises, which is mainly achieved by aggravating the divergence of analysts ' forecasts and increasing the business risks of enterprises. Heterogeneity analysis shows that ESG rating divergence have a more significant inhibitory effect on trade credit financing in enterprises with high supply chain discourse power, strong supply chain stability and weak development ability. The conclusions of this paper are helpful to understand the economic consequences of ESG rating divergence and enrich the research on the influencing factors of trade credit financing.
Digital transformation of enterprises empowers the development of new productive forces of enterprises
Authors: Li Shiyi
Published: July 2024

Based on the data of financial statements of A-share listed companies from 2015 to 2022 and ESG index data of Huazheng Company, this paper empirically analyzes the effect and mechanism of digital transformation on the new quality productive forces of enterprises. The results show that digital transformation can significantly promote the improvement of the new quality productive forces of enterprises, and the results are still valid after dealing with endogenous problems, eliminating special years and changing cluster test. Heterogeneity analysis shows that from the perspective of enterprise nature, the digital transformation of state-owned enterprises and high-tech enterprises has a more significant role in promoting the new quality productive forces of enterprises. The mechanism research shows that digital transformation can promote ESG practice of enterprises, and then promote the improvement of  new quality productive forces level of enterprises. Therefore, it is proposed to accelerate the green transformation of enterprise development mode, promote the digital transformation of enterprises and corporate social responsibility governance by institutional supply, and strengthen the empowerment effect of internal governance of digital technology, hoping to provide useful reference for the development of new quality productive forces of enterprises.
Business Models and Cultural Negotiations between Chinese and Japanese Enterprises and Organizations: A Study Based on the IP Licensing Process of the Japanese Animation Industry
Authors: Li Zheyu
Published: July 2024

The Japanese animation industry has developed for a long time. It is one of the most mature animation markets. Globalization serves as a new and inexhaustible driving force for the Japanese animation industry. China as an active responder to globalization, has already become the largest consumer of the products of Japanese animation. However, there are some differences between the business models and cultures in Chinese and Japanese enterprises and organizations in trading and negotiating on IP licensing. In the early days, the Japanese animation industry generally adopted a single-investor financing model, which means where the investor bore all profits and losses. Since the 1990s, the Japanese animation industry has gradually formed and adopted a multi-member collaborative model centered around a "production committee" to invest and produce animation products, in which the members of the “production committee” co-invest, share risks, and achieve mutual benefits and win-win. The variation in business models is intricately linked to the different market economy environment at the time. With the development of globalization, as investors and copyright owners of animation works and products, the multi-member "production committee" plays a significant role in the overseas licensing operations of Japanese animation IPs, which requires professional teams or enterprises with cross-cultural experience necessitating coordination by.
Urban Climate Change Resilience and Adaptation Assessment in Semi-arid Region Based on TOPSIS Analysis Method
Authors: Cui Jing , Gao Yuan
Published: July 2024

This research delves into the assessment framework and progress of urban climate resilience and adaptability in semi-arid areas, using Gansu Province as a case study. An assessment of the overall climate resilience and adaptability of Gansu Province was conducted by establishing a comprehensive evaluation index system and utilizing the TOPSIS method for integrated analysis. Among the prefecture-level cities and autonomous prefectures, Lanzhou exhibited a high level of resilience, whereas Baiyin displayed lower resilience. The results highlight significant variations in urban resilience levels across Gansu Province, influenced by diverse factors. Therefore, it is imperative to develop climate adaptation plans tailored to different cities' specific conditions to enhance urban climate resilience and achieve sustainable development objectives.
Erosion Pits Distribution Characteristics of Nanosecond Pulse Gas Spark Switches at Different Repetition Rates
Authors: Feng Le , Liu Sheng , Bu Qinhao , Peng Jianchang , Zhang Qiaogen
Published: July 2024

Gas spark switches are widely used in the field of nanosecond pulses. Lifetime is one of the key parameters of a gas spark switch, which is closely related to the distribution of erosion pits A repetition rate nanosecond pulsed discharge experimental platform is set up to investigate the distribution characteristics of erosion pits on the electrodes of nanosecond pulsed gas spark switch under different repetition rates. The distribution of erosion pits on the electrodes at different repetition rates has been analyzed statistically through a metallographic microscope. The results indicate that the range of erosion pits on the surface of electrodes is linearly related to the repetition rate. As the switch repetition rate increases, the range of erosion pits expands. The range of erosion pits on the cathode surface is slightly larger than that on the anode. When the repetition frequency increases from 1 Hz to 100 Hz, the radius of the anode pit range increases from 7.27 mm to 9.2 mm, and the cathode pit range increases from 8 mm to 9.73 mm. The density of erosion pits is related to the normalized electric field intensity in power function. With the increase in repetition rate, the tendency for erosion pits to concentrate at the geometric center of the electrode weakens. This research is of significant importance for the design of long-life gas spark switches.
Analysis on the stability of a coal mine's dumping slope and its influence on oil pipeline
Authors: Liu Xiaobo , Zhang Jing , Yang Dashen , A Fayou , Lu Chaochun , Wang Falong , Wang Rui , Liu Zhangzhen
Published: July 2024

There is cross-interference between an-yu-meng line of Yunnan product oil pipeline about 920m and NO.1 dump of a coal mine. In order to analyze the stability of the dump slope under heavy rain and other working conditions, and the influence of the dump continued dumping on the pipeline safety, combined with the geological environment conditions, quantitative calculation of stability and numerical simulation in the study area, a comprehensive analysis is carried out. The results show that the south section of the dump is about 200m long and unstable under heavy rain, and the other sections are in a stable state, because the pipeline in the south section of the dump is located at the foot of the dump slope, the soil has the possibility of squeezing and shearing the pipeline, and the cross-interference pipeline in the north section of the dump is about 490m long, the northern section of the dump has a good stability. Most of the pipelines are buried at a depth of 1.5 m ~ 2 m, and the local depth is 7.5 m. the buried depth of the pipelines is in strongly weathered basalt, which is beneficial to the safety of the pipelines, the slope of the pipeline is inclined to the west, the slope of the pipeline is inclined in the opposite direction to the lateral compression of the dump, and the possibility of the pipeline forming lateral shear is small, the main hazards of the north slope instability to pipelines are burial and impact. The research results provide basis for safety evaluation and later treatment design of pipeline in cross-interference section of dump slope.
Isolation and identification of postharvest pathogenic bacteria of Syzygium samarangense and antibacterial test of essential oils
Authors: Lu Qiyu , Xie Yongdong , Jiang Haoyue , Jiang Linhong , Chai Dan , Zhu Jiawen , Liu Ji
Published: July 2024

With Syzygium samarangense as the test subject，postharvest pathogenic bacteria were isolated，purified，and identified. Their pathogenicity was determined using Koch's postulates，and the antibacterial activity of 36 types of plant essential oils against highly pathogenic bacteria was assessed. The findings indicated that a highly pathogenic fungus was isolated and identified from naturally existing S. samarangense, labeled LW3-1. The pathogenicity rate of strain LW3-1 reached 100% within 2 days of inoculation, and molecular biology identified it as Colletotrichum gloeosporioides. Among the 36 essential oils, clove, geranium, myrrh, rose and sophora flavescens essential oils (1000 μl/L) had the most significant antibacterial effect on the LW3-1 strain, with an antibacterial rate of 100%. The antibacterial rate of 500 μl/L clove essential oil against the LW3-1 strain was still >85% after 12 days of treatment. In summary, it is determined that the pathogenic bacteria causing postharvest diseases of l S. samarangense is C. gloeosporioides, which is highly pathogenic. 500 μl/L clove essential oil has the best inhibitory effect on C. gloeosporioides.
Opportunities and Challenges in Hospital Financial Management Digitization Transformation: A Summary
Authors: Xiang Yang
Published: July 2024

The rapid development of information technology has created opportunities for the digitization of hospital financial management. This article examines the opportunities and challenges from the perspectives of technology, human resources, and data, and proposes implementation strategies.New technologies like big data and AI support the transformation but also present challenges such as integration and data security. In human resources, the influx of young employees and talent cultivation drive transformation, yet issues like the shortage of compound talents and integration of old and new staff persist. Improving data quality is crucial, but data fragmentation and privacy concerns need urgent attention.The article suggests strategies such as developing a clear transformation roadmap, enhancing human resource training, and improving data governance and security to guide the digitization of hospital financial management.
High Frequency Breakdown Characteristics of Alumina Filler Content Epoxy Resin
Authors: Bu Qinhao , Liu Sheng , Feng Le , Xu Haowei , Zhang Qiaogen
Published: July 2024

Power electronic transformers have high insulation frequency and compact insulation structure, and insulation performance is one of the main factors restricting their further development. Epoxy resin is an important insulating material in the electrical industry, its thermal conductivity and mechanical properties can not meet the needs of high-frequency transformers, usually metal oxide (Al2O3, etc.) is added to form composite insulation material. It is of great reference value for the insulation design of power electronic transformer to study the insulation performance of composite insulation materials with different filler content ratio under high-frequency AC. The effects of power supply frequency and alumina filler content on the breakdown performance of the composite were investigated experimentally. The results show that the breakdown voltage of pure epoxy resin decreases exponentially with frequency. At any filler content, the breakdown voltage of epoxy resin decreases with the increase of frequency, and the decreasing trend gradually slows down when the frequency increases from 50Hz to 1000Hz, and the decreasing trend gradually increases when the frequency increases to 2000Hz. The breakdown voltage of epoxy resin showed a down-rise-down trend with the increase of filler content, and the effect of filler content on breakdown voltage gradually weakened with the increase of frequency.
The Nearshore Marine of ShenZhen Environmental Risk Assessment Method Based on the DPSIR Framework
Authors: Jiang Yichen , Mu Lingyan , Zhang Yuqi , Jia Bowei , Zhang Yuan , Chen Daoyi
Published: July 2024

The nearshore marine areas are the most intensely concentrated regions for human economic activities and serve as vital carriers for the development of the marine economy. Accurately assessing the environmental risks in these areas is of significant importance for the sustainable development of the marine economy. This study constructs an environmental risk assessment system for the nearshore marine areas of Shenzhen City based on the DPSIR framework and evaluates it using the comprehensive index method. Specifically, the study begins by selecting 27 indicators related to the marine environment to construct the evaluation index system. It employs the grey relational analysis and entropy weight method to weight the indicators and finally assesses the environmental risks of Shenzhen's nearshore marine areas from 2013 to 2020 using the comprehensive index method. The study finds that the environmental risks of Shenzhen's nearshore marine areas from 2013 to 2020 are generally low, with the risk score increasing from 0.3277 to 0.7308 year by year, shifting from a more dangerous to a safe risk level. The research indicates that the marine environment of the nearshore areas in Shenzhen is greatly influenced by local human economic activities and the industrial structure of Shenzhen. The study suggests that the environmental safety level of Shenzhen's nearshore marine areas could be improved by leveraging policy guidance, optimizing the industrial structure, and perfecting tourism management methods.
Data analysis method for power big data
Authors: Kong Deshi , Cao Xin , Xiong Xuefeng
Published: July 2024

This paper discusses a data quality analysis and evaluation mode based on power big data. Its basic content is to use the analysis platform template to conduct acquisition control and process rule analysis, and then use the data quality management module to call out the platform database system that realizes the inspection and analysis function, and retrieve and generate inspection data from the entity base. The analysis program will classify, count, sort, and sort the data, The final generated quantitative indicator data reflecting the project implementation status and data quality will be saved in the analysis result table. The analysis result report called from the middle platform can obtain a more detailed data quality analysis and evaluation report reflecting the data quality of various quantitative projects. This paper has improved the intelligent degree of information quality management and evaluation, realized the intelligent control of information service quality, adapted to the needs of large-scale information service management, and completed the quantitative research and evaluation of information completeness, timeliness, accuracy, accuracy and other important parameters.
Simulation of Optimization Decision Model for Low-carbon Economy Schemes Based on Machine Learning Algorithms
Authors: Chen Siyu
Published: July 2024

Low-carbon economy (LCE) is a shift from high-carbon intensive industries and activities to low-emission or zero-emission industries and activities, which requires a lot of investment in new technologies and infrastructure, as well as changes in policies and regulations to promote sustainability and reduce emissions. In this article, the back propagation neural network (BPNN) algorithm in machine learning (ML) is applied to the construction of low-carbon economic scheme optimization decision model, and the performance of the model is simulated and tested. The results show that BPNN algorithm has higher accuracy and reliability in predicting the development level of LCE, which is 23.8% higher than Support Vector Machine (SVM) algorithm. Through the comparative study of BPNN algorithm and SVM algorithm in forecasting the development level of LCE, the advantages of BPNN algorithm in forecasting accuracy and application value are verified. BPNN algorithm can better adapt to and deal with the complex data patterns in the field of LCE, improve the accuracy and reliability of prediction, and provide strong technical support and guarantee for the growth of LCE.
Utilizing Silhouette and Head Information for Improved Cloth-changing Person Re-Identification
Authors: Li Yuzhang
Published: July 2024

In recent years, significant progress has been made in person re-identification (ReID). However, as the time span increases, the phenomenon of changing clothes often occur, and the performance of methods based on person re-identification may decrease in this case. In this article, we focus on solving the problem of cloth-changing person re-identification from a single RGB image, which is more challenging, and improving the accuracy and robustness of traditional methods for recognition. We propose a cloth-changing Feature Regularization learning framework by fusing Silhouette and Head information (SHFR), a two-stream framework which transfers the silhouette information and head information learned by auxiliary stream to the main stream and supplements features unrelated to clothing. Specifically, the main stream approach we adopt is the traditional cloth-changing person re-identification network. In the auxiliary stream, we use the DeepLabV3 semantic segmentation model to extract person silhouette features, and the FCHD fully convolutional head detection model to extract head information with advanced semantic information. We concatenate the head information and background information into the silhouette as input for BackBone to continue training the network. In order to utilize silhouette information and head information, we regularize the cloth-changing features on both main stream and auxiliary stream, allowing main stream model to pay more attention to features unrelated to clothing and improve the accuracy of model recognition. We conduct extensive experiments on our model on the PRCC dataset, and the results show that our method has highly competitive performance.
Development and Application of Modern Intelligent Control Theory
Authors: He Jixian
Published: July 2024

Modern intelligent control theory has experienced multi-stage development from classical control to fuzzy control, neural networks, and model predictive control, which not only improves the flexibility and adaptability of control systems but also promotes interdisciplinary research. With the advancement of science and technology and social development, intelligent control theory will be further combined with machine learning, big data, and other fields in the future to promote industrial automation and technological innovation. This article reviews the development history of modern intelligent control theory, its main theories, and its applications in robot manufacturing, power electronics, and other fields. It also discusses the current challenges and future development trends in the field of intelligent control.
Research on momentum conversion in sports
Authors: Zhang Yakun , Qi Ziren , Ye Yufeng
Published: July 2024

Momentum, traditionally examined in sports, is an ability to increase or develop continuously, impacting mental and physical performance in a pattern akin to human preferences, which are complex and non-linear. This research explores momentum in sports, particularly tennis, integrating it with the economic concept of diminishing marginal utility to analyze momentum shifts. Using data from the 2023 Wimbledon men's singles, the study dissects momentum into absolute and relative measures, revealing server advantage and precise models with an R-square value of 0.877. It employs macro and micro perspectives to link momentum with success, affirming its significant impact on win rates and performance dimensions. A GARCH model identifies influential factors in momentum transitions, informing strategies for game control. Applying the model to basketball, specifically a 2024 Clippers-Celtics NBA game, maintains strong predictive capabilities, indicating its broader applicability. Practical recommendations for tennis coaches and players, grounded in empirical findings, conclude the study, emphasizing strategic momentum utilization.
Coverage Probability Analysis for Uplink/Downlink Decoupled Access in Heterogeneous Cellular Networks
Authors: Wang Ziao
Published: July 2024

Cellular networks are evolving into wireless heterogeneous networks with various types of base stations (BSs) including macro base stations and femto base stations. Since the traditional coupled access method is not able to meet the communication needs of the current users, uplink (UL) and downlink (DL) decoupled access is proposed, which refers that the BS selected in UL is unnecessarily the same as in DL. We commence by deriving the association probabilities for UL and DL decoupled access. Subsequently, we derive explicit analytical expressions for the joint distance distribution. Leveraging the tools of stochastic geometry, we obtain precise formulas for the coverage probabilities. Furthermore, we investigate the influence of the path loss exponent on the network performance. To validate the efficacy of our proposed analytical framework, we conduct extensive Monte Carlo simulations
Improved Autuoformer Electricity load forecasting based on model fusion
Authors: Zhao Laiqi , Wu Zhifeng , Du Maoyu
Published: July 2024

The development of the power system is undergoing rapid changes. The future direction of power system development is inevitably smart grids. This paper proposes an optimization of the Autoformer model based on model fusion to improve the accuracy of electricity load forecasting. By incorporating the predictive results of traditional statistical multivariate linear regression (MLR) and machine learning method LightGBM into the Autoformer model, we aim to fully leverage the strengths of both traditional statistical and machine learning approaches to enhance the predictive accuracy of the Autoformer model. Experimental results, using mean MAE and MSE as the evaluation metrics, demonstrate that the algorithm proposed in this paper exhibits better performance in the prediction results.
Research on the influence of diverse tea varieties on disease and exercise regulation
Authors: Xiang Xiaomeng , Fan Jingyi , Wang Yirang , Zhou Wanggeng , Chen Ying , Liu Bing
Published: July 2024

Tea and tea beverages are popular around the world due to their unique flavors, and tea is rich in a variety of bioactive compounds such as catechins, alkaloids, and polysaccharides, which are the main contributors to its health benefits.  In recent years, an increasing body of research has indicated that incorporating tea consumption into daily life exerts positive effects in combating oxidation, cardiovascular diseases, inflammation, aiding in exercise recovery, and potentially mitigating cancer risks. The relevant mechanisms of the signaling pathways involved have been extensively studied. Clinical trials have also demonstrated the potential of tea products as dietary supplements and natural medicines. In this paper, we review the health effects of tea, the steroid metabolic diseases modulated by different teas and the effects of related substances on health campaigns.
A study on graduation diversion of college students based on LDA model
Authors: Xu Sibo
Published: July 2024

The significance of college students' graduation diversion is to effectively adjust the talent structure and improve the efficiency of social resource allocation. In this paper, firstly, through text mining, the diversion direction is divided into three parts, namely,taking Postgraduate Entrance Examination,get postgraduate recommendation and employment, and python is used to crawl the relevant comments on microblogging about graduation diversion. Then, the crawled text is applied the jieba library to split words. Then, the LDA topic model was applied to model the participle results, and a total of 11, 21 and 23 numbers were obtained for employment, postgraduate recommendation and Postgraduate Entrance Examination respectively. From the results of the model, it can be seen that college students choose to take Postgraduate Entrance Examination in the current graduation stream, and the number of getting postgraduate recommendation and employment is small. This suggests that the government should intervene in the employment environment, and it also suggests that college students should multitask simultaneously.
Orientation on internal customer satisfaction in public administration
Authors: Ren Sabina
Published: July 2024

In the modern world, there is a constant increase in the role and importance of the customer who is achieving a dominant position in mutual relations in the organization. The situation is also noticeable in the public administration sector, where activities related to improving the functioning of the office, customer service and customer satisfaction are an important element of the development. The subject of the article is the analysis of the internal customer's opinion as an expression of building an orientation focused on the customer’s satisfaction in the public administration sector. The aim is to present the surveys on internal customer satisfaction that were conducted within the years 2012-2021 in a selected public administration unit. The conceptual basis of the terms public administration as well as the external and internal customer was also presented. The results of the research over the years and their discussion have been presented in the conclusion. The considerations undertaken in the elaboration lead to the conclusion that the orientation towards internal customer satisfaction in public administration is justified because it ultimately affects the level of public services provided, the quality of which is guaranteed, among others, by: stable and job-satisfied staff.
AWARENESS ON OF THE BARANGAY JUSTICE SYSTEMAND ITS RELATIVITY CONFLICT MANAGEMENT SKILLS OF LUPONG TAGAPAMAYAPA IN STA. MARIA,DAVAO OCCIDENTAL, PHILIPPINES
Authors: Añana Ella Love A. , Javier Jairah Jean M. , Sarno Jonel Mark D.
Published: July 2024

This research focused on the awareness on barangay justice system and its relativity to conflict management skills of Lupong Tagapamayapa in Sta. Maria, Davao Occidental. Furthermore, it determined the strength of the correlation between the two, their level of awareness on barangay justice system and conflict management skills and which domains of awareness on barangay justice system have the most impact. A descriptive-correlational research design was utilized in the study. There were one hundred fifty-four (154) Lupong Tagapamayapa respondents included in the study and they answered an adaptive survey questionnaire. To measure the independent variable, “The Effectiveness of Conciliation Process: A Practical Way of Delivering Justice” from Agustin et al., (2018) was utilized, while the Conflict Management Skills questionnaire was from “Conflict Resolution Styles Among Filipino Seafarers: Inputs to a Conflict Management Program” by Garcia et al., (2018). The statistical tools used were frequency, percentage, mean, Spearman’s rho, and step-wise multiple regression analysis. The result of this study showed the levels of aware-ness on barangay justice system, with conciliation efforts to reconcile parties (4.63) got the highest responses and issuance of certificate to file action (4.27) received the lowest and an over all of 4.51. in terms of conflict management skills, compromising garnered the highest mean score of 4.64, while avoiding receive the lowest with 3.83 and an over all of 4.35.The significant relationship of awareness on barangay justice system and conflict management skills, the R2 reveals that 35.5 percent of the considered data fit the regression model; and between the two variables, the r-value was 0.650 which indicates that there is a high corre-lation. Of the four predictors, the proper application of the legal procedures (β = 0.577, SE = 0.63, p < 0.001) is found to be significant which is less than the threshold of 0.05 level of significance, which implies the null hypothesis is rejected. This means that proper applica-tion of the legal procedures significantly influence the conflict management skills of the Lupong Tagapamayapa.