bluuebunny/crossref_metadata_2025 huggingface dataset:
Libelulele (Insecta: Odonata) din Republica Moldova. Ghid
Authors: Busmachiu Galina , Munjiu Oxana
Published: January 2025

Lucrarea include descrierea biologiei și ecologiei a 55 de specii de libelule, 47 dintre care au fost deja confirmate în Republica Moldova, iar prezența altor 8 specii este posibilă pe teritoriul țării. Libelulele sunt un grup de insecte extrem de important pentru funcționarea ecosistemelor, fiind un bun indicator al stării sănătății lor. Uscarea zonelor umede, degradarea și poluarea bazinelor acvatice duce la reducerea numărului de libelulele, și, în consecință, la dezvoltarea unui număr mare de insecte hematofage, precum sunt țânțarii, purtători ai unor boli periculoase ca malaria, diverse febre (Dengue, galbenă, Zika, West Nile), encefalita ecvină ș.a., în regiunile cu climă tropicală, iar mai recent, în urma încălzirii globale, chiar și în regiunile cu climă temperată.

Ghidul este adresat unui cerc larg de cititori entomologi, biologi, ecologi, profesori din cadrul instituțiilor de învățământ universitar și preuniversitar, elevilor, studenților pasionați de natură și insecte.

Lucrarea a fost publicată în cadrul subprogramului „Evaluarea structurii și funcționării lumii animale și ecosistemelor acvatice sub influența factorilor biotici și abiotici în contextul asigurării securității ecologice și bunăstării populației” 010701.
Enhancing schoolchildren’s health and quality of life perception by achieving bioelectrical activity: an interventional quanti-qualitative study with REAC technology
Authors: Lima Taynara Camile Guilherme , Assis Maria Virgínia Filgueiras , Cavalcante Inara Mariela , Gonçalves Rebeca Góes , Nunes Lucas dos Santos , Vieira Rosiana Feitosa , Sousa Ellen Carolyne da Silva , Almeida Naara Perdigão Cota de , Cruz Ana Vitória Gonçalves de Oliveira , Miranda Gleiciane Alves de , Barcessat Ana Rita Pinheiro
Published: January 2025

This study aimed to evaluate how schoolchildren aged 6-7 years old perceive their quality of life, specifically focusing on physical pain, fear, anxiety, and stress, after receiving therapeutic intervention with Radioelectric Asymmetric Conveyer (REAC) technology. The study used a descriptive, mixed-methods approach, combining both quantitative and qualitative analyses. Nine children from a public school in the Western Brazilian Amazon participated in the intervention, which involved the use of Neuro-Postural and Psychophysical Optimization (NPO and NPPO) protocols with REAC technology. Data were collected through the Pediatric Quality of Life Inventory (PedsQL) questionnaire and semi-structured interviews conducted with the children and their caregivers. Functional dysmetria and various quality of life dimensions were assessed using the Wilcoxon and Mann-Whitney tests. Thematic analysis of the qualitative data was conducted using IRAMUTEQ software to analyze pre- and post-therapy narratives. The results showed that functional dysmetria in the children was reduced to undetectable levels, and improvements were observed in their social quality of life scores (p=0.0346). Additionally, the children’s narratives revealed improvements in physical, emotional, and social well-being. In conclusion, a single cycle of NPO and NPPO protocols with REAC technology significantly improved the children's quality of life by reducing their self-perceived physical pain, fear, anxiety, and stress.
Lacunas entre qualidade de vida e trabalho decente na socioeducação
Authors: Silva Rangel de Andrade , Costa Lúcia Maria Simões Fernandes , Beretta Regina Célia de Souza
Published: January 2025

Objetivo: analisar a percepção dos socioeducadores sobre suas condições de saúde e trabalho na Fundação Casa. Métodos: realizou-se estudo transversal com pesquisa quantitativa descritiva. Utilizou-se questionário de Qualidade de Vida no Trabalho (QVT), com escala likert para avaliar o nível de satisfação de 62 trabalhadores que atuavam em 11 áreas diferentes. Resultados: analisou-se 8 categorias e 35 subcategorias. O ranking máximo de QVT era 5. Obteve-se ranking médio de 2,3.  Os dados indicam que a maioria dos trabalhadores encontra-se muito insatisfeito e insatisfeito com sua QVT. A insatisfação se expressa desde o salário, salubridade, segurança, desgaste, até a política de RH. Concluiu-se que é preciso reconhecer a relevância social destes trabalhadores na materialização da socioeducação e que melhores políticas trabalhistas e de promoção de saúde aumentariam o nível de satisfação pessoal e profissional. Os socioeducadores requerem mais atenção e ações afirmativas que promovam sua autonomia e empoderamento na luta por melhores condições de vida e trabalho.  Primar o Trabalho Decente equivale à melhoria da qualidade de vida - renda, educação, transporte, lazer, habitação e outros, dialogando com as principais estratégias de promoção à saúde, desafios presentes nos Objetivos do Desenvolvimento Sustentável a ser alcançados até 2030.
Influência dos fatores comportamentais no desenvolvimento da Doença de Alzheimer: uma revisão integrativa
Authors: Queiroz Roger Antonio Morais , Odorizzi Valdir Francisco , Prates Valmirene Rodrigues de Aguiar , Pereira Karoline Alves , Santos Pedro Henrique Messias , Miranda Gustavo Antonelle Faria , Sicuto Bárbara Nascimento , Dantas Gemyma Araujo , Godinho Isadora Aires , Fragoso Ana Beatriz Bandeira , Teixeira Maria Eliza Alves , Honorato Maria Paula Pereira , Lima Gustavo Santos , Paula Maria Carolina Cruz de , Moraes Mayara Carvalho , Vieira Gabriel Boeira da Silva
Published: January 2025

Introdução: a Doença de Alzheimer (DA) é uma condição neurodegenerativa multifatorial que representa a principal causa de demência no mundo. Evidências sugerem que fatores comportamentais, como dieta, atividade física, qualidade do sono e manejo do estresse, desempenham papéis significativos na prevenção e progressão da DA. A compreensão desses fatores é essencial para o desenvolvimento de intervenções eficazes. Metodologia: foram incluídos estudos publicados entre 2013 e 2023, disponíveis em português e inglês, encontrados em bases como PubMed, Scielo e MEDLINE. A triagem considerou intervenções comportamentais em populações com comprometimento cognitivo leve (CCL) ou DA. Desfechos analisados incluíram qualidade de vida, cognição e marcadores biológicos. Resultados: intervenções multicomponentes, como o programa HABIT®, demonstraram eficácia na manutenção da funcionalidade em pacientes com CCL. Terapias cognitivo-comportamentais (CBT) reduziram sintomas emocionais, como depressão e ansiedade, em pacientes e cuidadores. Tecnologias móveis, como aplicativos, mostraram potencial para promover mudanças comportamentais e prevenir a progressão da DA. Discussão: os resultados reforçam a importância de intervenções comportamentais personalizadas para melhorar a qualidade de vida de pacientes e cuidadores. Diferenças de eficácia foram observadas em subgrupos por idade, gênero e predisposição genética, evidenciando a necessidade de abordagens específicas. Conclusão: os achados destacam a relevância de estratégias multicomponentes e tecnológicas no manejo da DA, com implicações para políticas públicas e práticas clínicas. Pesquisas futuras devem explorar intervenções de longo prazo e populações diversificadas.
Research on the Risk Management of Commercial Bank Green Bonds under the "Dual Carbon" Goals
Authors: Guo Xinyu
Published: January 2025

Against the backdrop of the "carbon neutrality and carbon peak" dual carbon goals, as mentioned in relevant studies, the importance of green bonds to the sustainable development of commercial banks has become increasingly prominent and has become a key financial means to promote their green development. This is an important feature of the green finance field at the current stage of development. However, there are certain risks in using green bonds as a green financial tool at present, and these risks may stem from various factors such as market uncertainty and project complexity. Therefore, research on the risk management of commercial bank green bonds is not only an inevitable choice for commercial banks to achieve sustainable development but also a key link in ensuring China's social and economic development. The research results will have a profound impact on the financial industry and the overall economic situation. The proposal of the dual carbon goals has not only provided new opportunities for the development of green bonds, such as attracting more social capital to invest in green projects, but also provided a new direction for the risk management of commercial banks, prompting banks to shift from traditional risk assessment to comprehensive risk management that combines environmental and social factors. This paper aims to analyze the new development opportunities for commercial banks under the dual carbon goals, explore the significance of commercial bank-issued green bonds in promoting the achievement of the dual carbon goals, as well as their mutual effects, and elaborate on the specific paths through which green bonds empower the risk management of commercial banks. Meanwhile, this paper will put forward relevant development suggestions for commercial bank risk management, with the expectation of providing references for commercial banks to build exchange rate risk management systems.
Research on Optimizing Logistics and Distribution Paths Considering Carbon Emissions
Authors: Xiang Feng
Published: January 2025

With the intensification of global climate change, reducing carbon emissions has become an urgent task for various industries. The logistics industry has high carbon emissions, and traditional path planning ignores environmental impacts. The current hot topic is to study the optimization of logistics paths that consider carbon emissions, in order to achieve a win-win situation for both the economy and the environment. This article aims to explore relevant theories and methods, propose solutions to reduce logistics carbon emissions, and promote sustainable development. Taking the optimization of logistics distribution paths in a certain enterprise as the research object, starting from the global background of energy conservation and emission reduction, this paper proposes to take the total cost (including time window penalty, transportation, carbon emissions, and fixed costs) as the optimization objective, construct a carbon emission logistics distribution path optimization model with time window, solve it using the improved grey wolf optimization algorithm, and compare it with the original plan. The results showed that after optimization, the cost was significantly reduced, verifying the effectiveness of the model, reducing delivery costs, and improving the economic benefits of the enterprise. Not only does it solve the problems of the enterprise, but it also provides reference for related industries.
CSSCI literature Research on Cultural Heritage Related Topics Based on Knowledge Graph
Authors: Wu Caitian , Xia Yongxing , Chen Hongxi
Published: January 2025

Cultural heritage is the wealth left by history to mankind, and the protection and inheritance of cultural heritage is the necessary meaning for a country to retain its cultural roots and keep the soul of the nation. By using the bibliometric software CiteSpace, this paper makes a visual analysis of the knowledge map of CSSCI research literature generation on Chinese cultural heritage-related topics since the 21st century, and sorts out and studies its research status and evolution context. Through the analysis of keyword clustering, Timeline chart and emergence chart, this paper believes that the current research in the field of Chinese cultural heritage is biased towards cultural and tourism integration, rural revitalization, cultural self-confidence and digital humanities, and predicts that the development of digital cultural heritage and the related topics of rural revitalization enabled by cultural heritage will become the key frontier of future research.
The Relationship Between Women's Rights and National Development
Authors: Shen Youran
Published: January 2025

At present, the issue of women's rights and interests has received extensive attention from social and academic circles. Based on this, this paper explores the relationship between the protection of women's rights and interests and national development. This paper argues that the protection of women's rights and interests has a positive impact on national development. This is mainly reflected in the fact that the improvement of the safeguard policy is conducive to the country's economic growth, promotes the development of society as a whole, and stabilizes the development of the political system. At present, however, there are still some problems in terms of gender equality and women's protection. First, the stereotype that cultural context makes women have a lower status persists. In addition, policies and laws to protect women in some countries are still inadequate. Therefore, the following recommendations are made in this paper. First of all, it is necessary to strengthen the legal protection of women. The social and political status of women can be improved by encouraging women's participation in politics. In addition, increasing women's education rate and level of education and ensuring women's economic status are also solutions.
Design and Implementation of an Automatic White Sugar Impurity Detection System based on Multispectral Imaging
Authors: Zhong Xin , Luo Li , Yu Xiangyang , Cai Yefan , Hong Weibing
Published: January 2025

Traditional methods for removing impurities from sugar are not very inefficient and have limited accuracy. This study designed and implemented an automatic white sugar impurity detection system based on multi-modal image fusion technology to detect impurities in white sugar efficiently and accurately. The system utilizes 4 multi-spectral cameras and an RGB camera to acquire high-resolution images of the samples. By extending the input channels of the Attention U-Net model to thirteen, the recognition rate of impurity categories is improved by approximately 60%, significantly enhancing the detection performance of the model. The experimental results show that the system performs excellently in the image segmentation task, achieving an average intersection over union (mIoU) of 92.70% and an average pixel accuracy (mPA) of 93.74%. The accuracy for impurity categories reaches 95%. Finally, the model was applied to test the effectiveness in identifying impurities; the results indicate that the model can effectively identify various types of impurities and also perform well in recognizing unknown categories.
Study on the Influence of Singleness on The Preference of Self-Improvement Products
Authors: Li Na
Published: January 2025

As China's economy shifts from high-speed development to high-quality development, people pay more and more attention to their own improvement in all aspects. Judging from the current consumption trend of China's people compared with the consumption development process of developed countries, self-improvement products have a broad market space in China. At the same time, with the continuous development of China's economy and the continuous improvement of people's living standards, demographic problems such as late marriage and late childbearing, unmarried and infertile have gradually become prominent, resulting in an increasing number of single groups. Therefore, in recent years, merchants have begun to focus on markets such as healthy eating, kitchen furniture, and single packages for single groups. In contrast, self-improvement products can increase the single group to change their self-identity and obtain substantial and long-term benefits. However, there are few studies that have explored the impact of singles on self-improvement products. Therefore, this paper studies the influencing mechanism of single groups on self-improvement product preferences from an empirical perspective, collects data from young people in Chongqing by combining online and offline methods, analyzes the influencing factors and consumer group characteristics by using relevant models, and puts forward corresponding suggestions for the marketing strategies of government, enterprises and self-improvement products.
Optimization of Crop Planting Strategies Based on Monte Carlo Simulation and Greedy Algorithm
Authors: Wang Qisen , Hou Junhan , Zhong Zihe
Published: January 2025

Based on Monte Carlo simulation and greedy algorithm, this paper explores the optimization scheme of crop planting under different conditions. First, for the planting scheme under stable market conditions, this paper establishes an objective planning model to optimize the planting plan from 2024 to 2030 by maximizing the annual planting revenue and combining the constraints of various economic indicators. Further, considering that part of the crop may be stagnant or sold at a discounted price, this paper explores the impacts of different sales scenarios on the planting strategy. Then, for the planting strategy under uncertainty, this paper uses Monte Carlo simulation and time series regression analysis to predict various economic parameters of crops, and based on this prediction result, the greedy algorithm is applied to optimize the planting plan. Finally, the planting scheme is further optimized by considering the complementarity and substitutability between crops and combining the correlation between the indicators of crops.
Independent Directors' Opposition, Earnings Management and the Risk of Stock Price Crash
Authors: Ming Yijun
Published: January 2025

The purpose of this article is to explore the factors affecting subsidy relaxation and the measures that the new-energy vehicle industry should take in response to the continued weakening of subsidy policies. Examination of relevant literature and case studies revealed that domestic and international research on the impact and shortcomings of the vehicle purchase subsidy policy itself has made some progress, but there are still other problems and challenges. This article explains the profound significance of the release of the new energy vehicle purchase subsidy policy and subsidy weakening, and how the new energy vehicle industry should respond to the subsidy weakening and others Finally, the article summarises the main results and conclusions of the study, and provides a forecast on the research direction for the development of the new energy vehicle market.
A Vehicle Re-Identification Algorithm for Long-Distance Small Targets Combining YOLOv8 Object Detection Algorithm
Authors: Gu Chenyu , Du Hong , Zhang Xiaozheng , Wang Ying , Yang Zhonglin , Liu Gaotian , Zhang Chuan , Sun Lei
Published: January 2025

With the rapid development of intelligent technologies, deep learning-based object detection has been widely applied in dynamic fields, especially in vehicle management. However, challenges in accurate recognition and tracking remain, particularly due to issues like intra-class variations and inter-class similarities in vehicle re-identification across camera viewpoints. This paper proposes a method for long-range small vehicle target re-identification based on the YOLOv8 object detection algorithm, aiming to improve the detection accuracy and re-identification performance of small targets in complex environments. First, a detection and re-identification dataset containing long-range vehicle images is constructed based on a complex background and small target dataset. Secondly, the YOLOv8-EMA-RFB optimization algorithm is introduced, which combines the EMA (Exponential Moving Average) attention mechanism and RFB (Receptive Field Block) structure. The EMA module enhances feature extraction for small targets and reduces noise interference, while the RFB module increases the receptive field, improving the detection capability for small targets. Through these optimizations, the proposed method effectively improves the detection accuracy of long-range small targets in the YOLOv8 model. Additionally, by incorporating the AlignedReID method, feature matching in object re-identification is improved, further enhancing the accuracy and robustness of multi-object tracking. Experimental results demonstrate that the proposed method achieves high precision and real-time performance in multi-scene vehicle detection and re-identification, offering a novel solution for intelligent transportation and urban security surveillance.
Study on Financial Risk Prevention of NIO in the Context of Big Data
Authors: Zheng Yang , Chen Yijun
Published: January 2025

With the continuous advancement of global informatization, the way of enterprise financial management under the big data environment is undergoing profound changes. This paper takes NIO as the research object to explore how to prevent financial risks in the context of big data. Firstly, the definition of big data and its specific application in financial management are studied to reveal the supportive role of big data technology in the collection, analysis and decision-making of enterprise financial information. Second, this paper provides a detailed definition and categorization of financial risks to help identify potential financial problems. Through in-depth analysis of NIO's financial data, possible financial risk points are identified, and an effective risk early warning model is established by combining the methods of big data analysis, aiming to realize the early identification and prediction of financial risks. Finally, based on the results of the analysis, relevant financial risk prevention measures are proposed, in order to provide reference and reference for NIO and other similar high-tech enterprises in financial risk management. Financial risk management in the context of big data not only requires enterprises to have strong data analysis capabilities, but also needs to eliminate potential risk factors in the system design to enhance the enterprise risk prevention capabilities. The research in this paper is of great practical significance to promote the intelligence and scientization of enterprise financial management.
Research on DETR-based Weed Detection Algorithm
Authors: Liao Wenbing , Li Wenwen
Published: January 2025

To address the problem of complex field conditions and high similarity between corn seedlings and weeds, this study proposes an improved DETR (Detection Transformer) model for weed detection in corn fields, which uses the CBAM convolutional attention mechanism in the DETR model, and uses a focal loss function instead of the traditional cross-entropy loss function to balance the number of positive and negative class samples of the data. Compared with the original model, the mAP (Mean Average precision) of the improved model was increased by 1.12% to 91.56%.
Optimal Risk Control of Complex Supply Chain Networks under Public Emergencies
Authors: Yi Yafei
Published: January 2025

Public emergency is an event that occurs suddenly, has a wide range of influence, and brings great impact to the society. It has the characteristics of suddenness, publicity, urgency and uncertainty. Frequent public emergencies pose a great threat to supply chain security, causing serious economic losses and social impacts. In order to improve the ability of supply chain network to cope with public emergencies, it is of great significance to study the law of supply chain risk transmission and risk control measures. Through the review of the relevant theories of supply chain sudden risk and infectious disease model, the existing problems and research prospects are pointed out. Then, based on the SEIR model, a complex supply chain network risk control model under government intervention is constructed to explore the transmission mechanism of supply chain risk and the optimal control rate of the government. Finally, the simulation verifies that by controlling the basic reproduction number, the government can effectively curb the further spread and diffusion of risks, and achieve the goal of controlling risks and balancing cost control.
Bimodal Emotion Recognition based on Sichuan Dialect
Authors: Wei Jia , Sun Xiangguo
Published: January 2025

In view of the main technical challenges faced by dialect emotion recognition (data scarcity and low recognition rate), this paper discusses the Sichuan dialect emotion recognition technology, and proposes a multimodal emotion recognition model by constructing a high-quality dataset containing multiple emotion categories. The model adopts the dual-modal fusion strategy of Mel spectral features (MFCCs) and text features, uses dynamic convolutional network (ODConv) and convolutional block attention module (CBAM) to extract features, and combines the Text-CNN model for text sentiment analysis. Experimental results show that the proposed model has higher accuracy and robustness than the traditional speech recognition model CNN in Sichuan dialect emotion recognition task.
Transformational Versus Transactional Leadership: Implications for SME Management
Authors: Song Lei
Published: January 2025

Leadership styles play a crucial role in shaping the performance and outcomes of Small and Medium-sized Enterprises (SMEs). This paper discusses two prominent leadership styles, transactional and transformational leadership, on various organizational aspects within the SME context. Transactional leadership, characterized by structured exchanges based on rewards and penalties, is found to positively influence employee performance, operational efficacy, and strategic success in diverse settings. While transactional leadership is noted for its direct impact on organizational processes, its relationship with innovation and learning capabilities is nuanced. On the other hand, transformational leadership, focusing on inspiration and motivation through a shared vision, has a significant positive influence on innovation, employee performance, and retention in SMEs. Studies highlight how transformational leadership fosters a culture of trust, innovation, and continuous improvement, impacting areas such as knowledge sharing, organizational citizenship behavior, and sustainability practices. The findings stress the critical role of both leadership styles in driving success within SMEs, emphasizing the need to consider specific practices, sectoral contexts, and organizational environments for optimal impact.
The Simulation of Pose Control for Stewart Platform Based on Gain-Enhanced PID with Generalized Boolean Algebra
Authors: Ouyang Ke , Chen Jin , Cao Zhongtao , Li Wenqiang
Published: January 2025

Due to the nonlinear and time-varying uncertainties commonly present in practical industrial systems, traditional PID controllers often fail to achieve optimal control performance under significant input variations. This paper proposes a gain-enhanced PID control method optimized by generalized Boolean algebra, applying Boolean algebraic logic control strategies to traditional PID control to improve parameter adaptability and real-time control performance. Using MATLAB/Simulink simulation tools, a dual-loop control simulation model is established for the Stewart platform, incorporating both conventional PID control and the gain-enhanced PID control optimized by generalized Boolean algebra. Both models are configured with identical PID parameters for simulation, and comparative experimental results are presented. The experimental results demonstrate that, in the Simulink simulation model of the Stewart platform's pose control system, the proposed gain-enhanced PID control system optimized by generalized Boolean algebra improves the dynamic performance and response speed compared to the traditional PID control system, enhancing the real-time performance and stability of the Stewart platform control.
Study of Remote Hydraulic System Based on AMEsim Rotary Blowout Prevention Type Hydraulic Rotary Table
Authors: Wang Jingyuan , Wei Hangxin , Lei Kuancheng , Li Ruixuan , Zheng Xue
Published: January 2025

Turntable is one of the important supporting equipment in oil drilling and repairing operation, which is mainly used as the power to drive the square drill pipe, drive the drill pipe to drill or deal with the well accident when used to rotate the drill column. In this paper, we study the rotary blowout-proof hydraulic turntable, which can meet the general rotary power requirements and also realize the control of wellbore annulus blowout-proof seal during rotary operation. Study the hydraulic working principle of the drilling rotary blowout prevention hydraulic rotary table and draw the hydraulic schematic diagram, combined with the hydraulic schematic diagram to complete the AMEsim hydraulic system modeling. Briefly describe the construction idea of the hydraulic system model of the drilling rotary blowout prevention hydraulic rotary table and analyze and verify the simulation results.
Stock Liquidity and Corporate Investment Efficiency
Authors: Ma Hewen
Published: January 2025

For a long time, investment has played a key role in stimulating the economic growth of our country, but the low investment efficiency of listed companies has hindered listed companies from entering the stage of high-quality development. With the reform of financial market and the rapid development of China's capital market, the impact of capital market on the investment efficiency of listed companies has been paid more and more attention. Relevant studies have shown that stock liquidity can have an obvious effect on internal factors such as stock price information content, agency cost, management compensation incentive, etc., and then can have a certain effect on its investment efficiency. This paper selects A-share non-financial listed companies from 2013 to 2022 for empirical test, and finally draws A relatively robust conclusion: stock liquidity has a promoting effect on enterprise investment efficiency.
Carbon Emission Accounting and LMDI Factor Analysis of Fossil Energy in Henan Province
Authors: Shi Yaoling , Ma Jinshan
Published: January 2025

The cultivation of fossil energy consumption in Henan Province between 2005 and 2022 is key to formulate carbon reduction strategies. This study uses the Logarithmic Mean Divisia Index (LMDI) method to decompose the factors of carbon emissions. The total carbon emissions from fossil energy in Henan Province amounted to 3.075 billion tons of CO2, showing an initial increase followed by a decrease, with fluctuations ranging from 125.59 million tons to 209.98 million tons. The LMDI analysis results show that the total effect of fossil energy carbon emissions fluctuated over time. From 2006 to 2011, the total effect was 84.39 million tons. From 2012 to 2019, it was -56.70 million tons. rom 2020 to 2022, it was 14.93 million tons. The greatest positive impact is the economic factor, accounting for 52.36% of the total effect. The greatest negative impact is the technological factor, accounting for 46.32%.Based on this, the study proposes the following carbon reduction strategies: adjusting the energy structure, fostering green technological innovation, and enhancing energy consumption management.
Study on Scattering Characteristics of Buildings Under Trees Based on Polarimetric SAR
Authors: Song Yinhong , Huang Weihe
Published: January 2025

Accurate detection of buildings is of great significance for urban planning and rapid development. Using the rich scattering information contained in polarimetric SAR, relevant information of target features can be extracted. For buildings covered by vegetation, the penetration capability of long-wavelength SAR can be utilized to further extract their scattering characteristic information, enabling more effective detection. This study analyzes experimental data based on ALOS PALSAR imagery of Shenzhen. The results indicate that buildings obscured by trees exhibit different scattering characteristics compared to other buildings, and analyzing their scattering component information holds great potential for land classification and building detection.
Research on Financial Support Mechanism and Policy Innovation of Guangzhou Sports Industry Upgrading under the Perspective of New Quality Productivity
Authors: Zeng Bosi , Xu Shenghe , Zhong Zhengqi , Huang Chenghe , He Dongjin
Published: January 2025

In the context of economic globalization and rapid development of informationization, this study thoroughly explores the financial support mechanism and policy innovation for the upgrading of the sports industry in Guangzhou City under the perspective of new quality productivity. Given the important role of the sports industry in enhancing the city image, strengthening the physical fitness of the citizens and promoting the regional economic development, the significance of the study is to reveal the key role of financial support and policy innovation in the transformation and upgrading of the sports industry, and to provide theoretical support and practical guidance for the development of the sports industry in Guangzhou and even other cities. Through the methods of literature review, case analysis and comparative study, this study systematically sorted out the relevant theories, deeply analyzed the status quo, challenges and opportunities of the sports industry in Guangzhou City, and put forward the research questions on the role of financial support and policy innovation in the upgrading of the sports industry. Based on the theoretical framework constructed by the new quality productivity theory, this study proposes a series of countermeasure suggestions for financial support and policy innovation, aiming to promote the high-quality development of Guangzhou's sports industry. The key findings of the study emphasize the complementary and interactive nature of financial support and policy innovation in the upgrading of the sports industry, as well as their importance in promoting industrial innovation, enhancing industrial competitiveness and achieving sustainable development. Ultimately, this study concludes that financial support and policy innovation are indispensable dual-wheel driving forces for the upgrading of the sports industry in Guangzhou, and their effective combination will provide a solid foundation for the future development of the sports industry.
Analysis of Value Co-Creation in Catering Enterprises
Authors: Jia Suying , Adilbish Gelegjamts , Sharkhuu Batzusem
Published: January 2025

In recent years, the notion of value co-creation has emerged as a seminal theoretical and practical framework, originating from the evolution of the service-dominant logic (SDL). The concept of value co-creation has been applied to a limited number of industries, including retail, catering, tourism and healthcare. In these sectors, the application of value co-creation has facilitated a more profound comprehension of the mechanisms underpinning this phenomenon. Catering enterprises represent a significant segment within the service industry, characterized by direct interaction with consumers and a high degree of flexibility. This unique advantage is a significant factor in the study of value co-creation. To further understand the characteristics of value co-creation in catering enterprises, this paper employs the analysis of variance method to conduct an in-depth investigation of value co-creation in different types of catering. The research findings indicate that the impact of each dimension of value co-creation varies depending on the time, nature and scale of establishment of the catering enterprise. The findings of this study provide a foundation for the provision of targeted business advice to enterprise management, with the aim of enhancing the management level of the enterprise.
Analysis and Optimization of the Value Chain of H Logistics Company
Authors: Jia Jia
Published: January 2025

This paper studies the current situation, problems, and optimization strategies of the value chain of H Logistics Company. With the gradual development of the logistics industry, its status has been continuously improved, and value chain optimization has become an important means to enhance the competitiveness of logistics enterprises. Based on the value chain theory proposed by Michael Porter, this paper comprehensively analyzes the core links of H Logistics Company such as procurement, warehousing, transportation, and distribution, finds out its problems in supplier management, warehousing resource allocation, transportation cost control, and service quality improvement, and proposes targeted optimization measures. In the procurement link, H Logistics Company has problems with a supplier evaluation system, poor cost control, and lagging in information construction. It is recommended that a supplier rating mechanism be introduced, refined expense management be strengthened, and information on the procurement process be promoted. In the warehousing link, low resource utilization, poor classification management efficiency, and insufficient technical investment are the main problems. Countermeasures such as optimizing warehouse layout, adopting intelligent sorting equipment, and strengthening employee training are proposed. In the transportation and distribution link, the company has shortcomings in logistics network planning, vehicle scheduling, and service quality. It is recommended to improve it through intelligent path optimization, dynamic allocation of transportation capacity, and promotion of green logistics. This study not only provides a specific path for H Logistics Company to improve operational efficiency but also provides a direction for value chain management in the logistics industry. Optimizing the value chain can not only improve the internal operational efficiency of the enterprise but also achieve cost savings, improved customer satisfaction, and enhanced competitiveness in the market environment, laying the foundation for the sustainable development of the logistics industry.
The Innovation Performance of Socially Responsible Investment from Stakeholders’ Perspective: Evidence from STAR MARKET
Authors: Duan Lihong
Published: January 2025

From the perspective of stakeholders, this paper empirically examines the impact of corporate socially responsible investment (SRI) and various dimensions of SRI on their innovation performance, taking Chinese science and technology innovation board (STAR)listed companies as samples. The results show that the social responsible investment of STAR MARKET enterprises has a significant positive impact on innovation performance, while the impact of various dimension’s social responsible investment on innovation performance is heterogeneous, the specific performance is as follows: social responsible investment in investors, employees, customers and government helps to improve the innovation performance of the enterprises, however, social responsible investment in the community will have a negative impact on innovation performance.
Green Finance and Corporate ESG Practices: A Dual-Driving Mechanism for Promoting Sustainable Development
Authors: Zhang Jiaxin
Published: January 2025

In the face of global challenges related to Environmental, Social, and Governance (ESG) issues and the pressure to meet Sustainable Development Goals (SDGs), green finance and corporate ESG practices have become dual-driving mechanisms for promoting sustainable development. Green finance directs capital toward environmental protection, energy conservation, and climate change mitigation, fostering the development of low-carbon economies and green technologies. Corporate ESG practices, focusing on social responsibility, low-carbon projects, and governance, contribute to this sustainable transition. This article explores the intrinsic relationship between green finance and corporate ESG practices, analyzing how they synergize and mutually reinforce each other to further promote corporate performance, social welfare, and sustainable development. Through a theoretical review, case studies, and data analysis, this paper provides new perspectives for policy research and development in the field.
Research on the Application of Green Supply Chain in New Energy Automobile Industry under the Background of "Double Carbon" Goal
Authors: Gao Zijie
Published: January 2025

This paper adopts a case study approach to study the green supply chain of new energy vehicle enterprises represented by BYD. The SWOT method is used to analyze the advantages, disadvantages, opportunities and threats of BYD's green supply chain, and summarize the ways to implement the green supply chain in new energy vehicle enterprises, including: the construction of a reasonable vertical supply chain; increasing the research investment in new energy automobile environmental protection science and technology, as well as the digitization of supply chain management. Through the study of BYD's green supply chain management, it can be found that: the vertical supply chain enhances the stability of the green supply chain of new energy automobile enterprises; the green technology created by the continuous investment in scientific research promotes the supply chain of new energy vehicle enterprises to be more low-carbon and green; and the digitalization of the supply chain management is an effective tool for new energy automobile enterprises to carry out green supply chain management.
Analysis of the Causes of Baolong Real Estate Bond Default
Authors: Lei Junhao
Published: January 2025

The real estate industry, as a pillar industry of China's national economy, plays an important role in the development of the economy and society. However, in recent years, due to the impact of the epidemic and the tightening of industry regulation, credit risks in the real estate industry have begun to accelerate exposure. Since 2021, there have been frequent defaults on real estate company bonds, and the scale of defaults has rapidly climbed to the top of the industry. Therefore, in-depth analysis of the reasons behind the wave of defaults by real estate companies has become an important issue that urgently needs to be addressed. This article takes Baolong Real Estate as the research object to explore the causes of its bond default. Research has found that: The fundamental reason for the default of Baolong Real Estate bonds lies in the company's operational strategy mistakes and neglect of debt management. The company's heavy holdings in the third and fourth tier real estate markets, coupled with an increase in commercial real estate, have weakened the company's profitability and operational capabilities. In addition, the company's asset liability ratio is too high and there is a problem of mismatched debt maturity. After entering the centralized redemption period, under the dual pressure of tightened external financing environment and hindered internal sales collection, bond defaults ultimately occurred.
AI in Education: Opportunities, Challenges, and Pathways for Equitable Learning
Authors: Zhang Chenxin
Published: January 2025

This paper explores the evolving role of Artificial Intelligence (AI) in the learning environment, emphasizing both opportunities and challenges. Through tools like adaptive learning systems, automated grading, and personalized tutoring, AI tools have revolutionized educational practices. Further, AI tools have established tailored learning experiences and optimized teaching strategies. Especially in the wake of the COVID-19 pandemic, AI has offered support for learners, parents, and educators, and was crucial in facilitating remote and hybrid learning. However, introducing AI also presents notable challenges, such as privacy concerns, ethical implications, and socio-economic disparities in access, which can exacerbate existing educational inequalities. Furthermore, without appropriate and proper training, educators often face difficulties in adapting to AI-driven environments. This paper focuses on AI's potential to reduce educational disparities among low-income and underserved students, as it offers inclusive opportunities through accessible and personalized learning technologies. In response to these complex challenges, this review paper proposes recommendations for ethical policy frameworks, adequate teacher training, and transparent AI usage guidelines to ensure equitable and responsible AI integration. By balancing AI's benefits with its limitations, the field of education can foster a future where AI contributes positively to diverse, inclusive, and adaptive learning environments.
Research On the Reform of The Cultivation Paths of Social-Emotional Competencies of Adolescents in The New Era
Authors: Sun YiXuan
Published: January 2025

In the context of modern society, social-emotional competencies have become a major component of the core competitiveness of adolescents and will have an impact on their future growth, development, and mental health. For education practitioners, it is necessary to clarify the new requirements and challenges in the cultivation of social-emotional competencies of adolescents in the new era based on a correct understanding of the connotations and importance of social-emotional competencies, and then formulate corresponding cultivation paths. In the following text, the author analyzes the difficulties in the cultivation of social-emotional competencies of adolescent students in the new era, conducts analysis and demonstration on related issues, and proposes corresponding cultivation paths of social-emotional competencies, hoping to promote the all-round development of adolescent students.
Data-driven urban Development Prospects Based Research
Authors: Zhang Haobo , Li Yangyang , Cao Xuan , Qiu Wandong , Zhang Jixi , He Changgen , Song Wenbo
Published: January 2025

This study evaluates the future development prospects of Changchun and Hohhot through a data-driven approach, focusing on key factors such as housing prices, service levels, urban resilience, and sustainable development. The research integrates advanced modeling techniques including multiple linear regression, random forest, and XGBoost to analyze various urban indicators. In housing, the models identify price fluctuation factors and estimate housing stock using indirect metrics, with gradient boosting regression emerging as the most effective model. Changchun is found to excel in retail, finance, and lifestyle services, while Hohhot excels in public infrastructure, though both cities require balanced development to address disparities in facility distribution. Urban resilience is assessed by examining response capabilities to extreme weather and emergencies, with targeted investments suggested to enhance resilience and service accessibility. Sustainable development strategies for both cities are proposed, with Changchun focusing on green transportation and mixed-use developments, and Hohhot emphasizing healthcare and tourism infrastructure. Both cities are encouraged to adopt smart city technologies to optimize resource allocation. The study concludes that tailored development strategies, informed by data-driven insights, are crucial for achieving balanced, resilient, and sustainable urban growth, with practical recommendations for policymakers to improve service equity and foster long-term urban vitality.