bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Pricing and Replenishment Decision-Making for Vegetable Commodities Based on Seasonal Index Prediction Models
Authors: Lin Zhiming , Li Kaiqian , Xiao Junhua
Published: June 2024

This study provides an in-depth analysis of the relationship between sales, pricing, and product categories to construct a predictive model designed to optimize replenishment decisions and maximize superstore profits. The study begins with data preprocessing, integrating data coded according to individual products, on which the model is built and solved. In the first part, descriptive statistical analysis and visualization revealed that the sales volume of each category showed a cluster-like distribution, which was affected by seasonal variations. Based on the time series smoothness test, it is initially judged that each individual product is a smooth series, and the smoothness of the series is verified by ADF test. In the second part, the correlation coefficients of the sales volume of each category and single product were calculated by using Spearman correlation analysis, and the results were presented through heat maps, which revealed the strong correlation between different categories. For the relational equation between total sales volume and cost-plus pricing, an autoregressive and least squares model was developed, with cost-plus pricing as the dependent variable and total sales volume as the independent variable. For the seasonal index prediction model, the total daily replenishment and pricing at future dates were predicted by calculating the seasonal index. The results show that the replenishment volume of flowers and leaves fluctuates greatly, and it is recommended that pricing and replenishment volume be adjusted in a timely manner according to the actual sales situation; cauliflower, aquatic roots and tubers, and eggplant are relatively stable, and they should be adjusted moderately according to the market demand; and chili peppers and edibles are on a downward trend, and it is recommended that replenishment volume be reduced in order to avoid the inventory backlog.
Research on the impact of technology finance on the manufacturing industry in the Yangtze River Delta region
Authors: Hu Weiyu
Published: June 2024

A comprehensive evaluation index system for the integrated advancement of finance in science and technology, alongside the manufacturing sector, has been established. Furthermore, the entropy weight approach has been employed to assess both the development indicators of technology-driven finance and the integration metrics of the manufacturing industry across the three provinces and one municipality within the Yangtze River Delta region from 2012 to 2021. This study employs the fixed effects model to analyze the influence of science and technology financing on the integrated development of the manufacturing industry in this region, and it further examines the role of production costs and innovation capabilities in the relationship between technology financing and manufacturing integration. Research has shown that science and technology finance significantly enhances the integrated development of the manufacturing industry in the Yangtze River Delta, with production costs and innovation capabilities acting as intermediary factors. However, in the high-level areas of manufacturing integration development, the mediating effect of production cost and innovation ability is not significant.
A Analytical and Practical Insights into Multi-Armed Bandit Problems in Recommendation Systems
Authors: Feng Maike
Published: June 2024

This paper delves into the application of the Multi-Armed Bandit (MAB) algorithm in recommendation systems, a tool increasingly prevalent across diverse sectors such as e-commerce, social networks, and news platforms. The primary objective of these systems is to curate content that resonates with user preferences, thereby enhancing user engagement and augmenting business revenue. Central to the optimization of these recommendation strategies is the careful balance between exploration - the pursuit of new, potentially relevant options - and exploitation - the utilization of known, popular choices. The MAB algorithm, an online learning method, adeptly navigates this balance. This study presents a detailed exploration of the MAB algorithm's theoretical underpinnings and its practical applications in recommendation systems. We implement these concepts using real-world datasets to assess their efficacy in such systems. The paper concludes by examining the benefits and constraints of employing MAB algorithms in recommendation contexts and proposes avenues for future research. This analysis aims to contribute to the ongoing evolution of recommendation systems, underscoring the pivotal role of MAB algorithms in their advancement.
A Study on Strategies for Promoting Regional Economic Development through the Cultural Industry
Authors: Li Zaiyuan , Yan Nan
Published: June 2024

With the vigorous development of the cultural industry across various regions, it is influencing regional economic development in unprecedented ways. As an emerging industrial form, the cultural industry, characterized by innovation, high added value, and low energy consumption, has injected new vitality into regional economic development. In recent years, the importance of cultural development to regional economic growth has been increasingly recognized. The development of the cultural industry not only enhances the cultural soft power of a region but also creates job opportunities, promotes industrial upgrading, and optimizes the economic structure, thereby driving the sustainable and healthy development of regional economies. In the new era, to promote economic development within regions, local areas should fully utilize and explore their cultural characteristics, making the cultural industry a key engine for regional economic growth. By integrating local cultural features and developing cultural industries with local characteristics, the competitiveness of the cultural industry can be enhanced, and the attractiveness and cohesion of the regional economy can be strengthened, thus promoting the common development of the cultural industry and regional economy, and achieving comprehensive progress in economy and society.
The Analysis of “Hybridity” in The Lonely Londoners from the Perspective of Postcolonial Theory
Authors: He Jiajia
Published: June 2024

This article gives an analysis of “hybridity” in Samuel Selvon’s novel The Lonely Londoners from the perspective of postcolonial theory, which depicts the lives of West Indian immigrants in post-World War II in London, as well as their negotiation of identities within a new cultural landscape. The “hybridity” discussed in this paper includes linguistic hybridity, naming hybridity, culinary hybridity, and hybridity in spaces. These multidimensional features of “hybridity” reveal the wisdom and strategies that characters demonstrate in the process of constructing identity and seeking a sense of belonging. Drawing on postcolonial theories of hybridity, this thesis analyzes how characters adeptly employ strategies of “hybridity” to negotiate identity and regain a sense of belonging, thus presenting the diversity of belonging and subjectivity in the postcolonial context through characters’ exploration and negotiation of hybrid identities.
Research on Methods of Micro-target Detection in Various Application Scenarios
Authors: Fang Bosheng , Jiao Siyuan , Wang Chengming , Yin Qianyu
Published: June 2024

This paper provides a comprehensive introduction and comparison of the research on small target detection algorithms in different application scenarios and systematically explores the application of deep learning algorithms for small target detection in remote sensing imagery, visible imagery, and infrared imagery. In remote sensing images, the Deconvolution R-CNN algorithm is used to improve the accuracy of small target detection by adding a deconvolution layer. In the field of visible images, a Gaussian Mixture Model (GMM)-based approach is introduced to achieve fast detection of small targets with SIFT features and a GMM target detector. In infrared images, a comprehensive algorithm adapted to low signal-to-noise ratio and complex background is proposed to automatically detect tiny targets through background suppression and threshold selection optimization. In this paper, we compare and analyze the performance of these methods in different scenarios, and propose directions for future research, including expanding the training dataset, applying super-resolution methods to improve the image resolution, and enhancing the universality of the algorithms. This paper provides a comprehensive overview of research in the field of small target detection, as well as an outlook on future research directions, which provides a useful reference for the further development of the field.
Application metal oxide cathode materials for lithium ion batteries
Authors: Zhu Xiaoxiao
Published: June 2024

The popularity of portable electronic devices has boosted the speedy advancement of devices for storing electrical energy. At the same time, the development of electric vehicles urgently requires lithium batteries to have higher power density and performance. The strong points of lithium ion battery are environmental friendliness, also specific capacity of high level. Lithium cathode material is one of the key factors affecting battery performance. The requirements for positive electrode materials are good safety, good service life, and less self-discharge. Among all cathode materials, metal oxide cathode material is the most potential types, which comes from a wide range of sources and has rich production experience. In this paper, four kinds of lithium metal oxide cathode materials including lithium cobaltate, lithium nickelate, lithium manganate and ternary composite oxide cathode material were analyzed, and discussed the performance of lithium metal oxide cathode materials in practical applications, where further pointed out the existing problems of metal oxide cathode materials and put forward several directions for future improvement to improve the performance of lithium ion battery cathode materials in the future development and production process.
Text Analysis of Science and Technology Innovation Policies in the Guangdong Hong Kong Macao Greater Bay Area from the Perspective of Policy Tools
Authors: Li Qing
Published: June 2024

The construction of the Guangdong Hong Kong Macao Greater Bay Area International Science and Technology Innovation Center and the formulation of policy measures urgently require an innovative ecosystem view to promote the development of scientific and technological innovation. However, these policies have presented some problems and shortcomings in the specific implementation process. This study selected 63 science and technology innovation policy texts as the research objects, including local policies in Guangdong, Hong Kong, and Macao. From the perspective of policy tool theory, this study investigates the science and technology innovation policies in the Guangdong Hong Kong Macao Greater Bay Area from 2018 to 2023. Use UCINET software to code and analyze the key content of its policy text, as well as conduct co word analysis. Research and statistics on the use of various policy tools and the focus on key words. Analyze the specific deployment of different types of policy tools for technological innovation in the Guangdong Hong Kong Macao Greater Bay Area. Policy tools use three types: supply oriented, environmental oriented, and demand oriented. During the implementation process, government policies play a guiding role in the market and have achieved certain results. However, due to the small coverage area of policies and difficulties in adaptation, the ability to promote policies is limited. Therefore, by using various types of policy tools, the government can grasp the future trend of technological construction, thereby promoting stable and orderly economic and technological development in the Guangdong Hong Kong Macao Greater Bay Area.
We Will Innovate the Scientific Research Management System
Authors: Li Kaitian , Li Yuning
Published: June 2024

This paper deeply discusses the urgency and implementation strategy of innovative scientific research management system. Under the background of the rapid development of science and technology, the traditional scientific research management system has been stretched thin, and it is difficult to meet the diversified and efficient needs of scientific research activities. Therefore, we urgently need to review and reform the existing scientific research management system. Firstly, this paper objectively analyzes the shortcomings of the current scientific research management system, as well as the challenges and difficulties it faces, and then leads to the urgency and necessity of innovating the scientific research management system. On this basis, the paper deeply analyzes the theoretical foundation of the innovative scientific research management system, and combines the advanced practice in this field at home and abroad to provide us with valuable reference. More importantly, the paper puts forward a series of practical strategies and suggestions, such as building a diversified scientific research investment mechanism, optimizing the scientific research evaluation system and incentive mechanism, and strengthening the construction of scientific research ethics and study style, so as to provide powerful theoretical support and practical guidelines for the innovation of scientific research management system.
Trajectory Planning Research Based on Rapidly-exploring Random Trees (RRT) Algorithm and Modified Forms
Authors: Lan Yuxuan
Published: June 2024

With the rapid advancement of computer technology, robots have become indispensable in various fields. Trajectory planning plays a crucial role in optimizing robot performance by enhancing work efficiency and reducing operational costs. While the widely used Rapidly-exploring Random Trees (RRT) algorithm is effective in path planning, it often generates non-optimal paths with poor smoothness. By incorporating elements from RRT-Connect and reverse optimization, the algorithm can efficiently navigate through intricate and dynamic surroundings. Furthermore, the utilization of cubic polynomial interpolation in optimizing path curves adds a layer of sophistication to the trajectory planning process. This interpolation technique allows for the creation of smoother and more natural path trajectories, reducing jerky movements and enhancing overall motion control precision. The paths produced by the enhanced RRT algorithm demonstrate increased continuity and visual attractiveness, crucial for tasks necessitating accurate and elegant robotic motions. The improved algorithm showcases reduced path length and time consumption, as well as enhanced path smoothness. Particularly, relative to the traditional RRT approach, the time consumption has dropped by 69.15% and the median duration of the paths has fallen by 21.11%. These improvements signify a substantial advancement in trajectory planning for robots, offering more efficient and smoother paths for robotic operations across various applications.
Research Progress on the Nutritional Properties of Microalgae and Their Applications in Food
Authors: Xing Yuqing
Published: June 2024

Microalgae are rich in nutrients and bioactive substances, which can provide nutrients to the human body and have functions such as antioxidant, antibacterial, and immunomodulation. Microalgae are receiving more and more attention as a potential new source of food ingredients. However, the application of microalgae in food is still immature. This paper reviews the physiological active functions of polysaccharides, proteins, unsaturated fatty acids, pigments and other bioactive substances in microalgae, summarizes the current status of the application of microalgae in meat foods, pasta, additives and functional foods. At the end of the article, the existing problems and challenges, such as microalgae with special odor, complex processing, insufficient experimental data, etc., are systematically elaborated, and the outlook and suggestions are put forward to express the confidence in the development of microalgae as a novel raw material in the food industry. The whole article aims to provide theoretical references for the development of microalgae food and the exploration of new food resources.
Research on the correlation and distribution law of commodities
Authors: Zhang Dingfeng , She Yuhang , Liu Limei , Ouyang Rongjie , Ye Jinpeng
Published: June 2024

In the fresh supermarket, the supermarket will generally make replenishment plans according to the historical sales and demand of each commodity. There is a certain correlation between the sales volume of different commodities. It is crucial to deeply understand the distribution law and correlation relationship of commodity sales to optimize the replenishment strategy. In this paper, Spearman correlation coefficient analysis and entropy weight method-TOPSIS model are constructed to analyze the distribution law and correlation relationship of vegetable products and single product sales volume. First of all, this paper aggregates the sales volume of different vegetable categories and single items by month to get the average monthly sales volume. The average monthly sales data of each vegetable category was visualized, and the distribution pattern of each vegetable category was analyzed. The relation of vegetable categories was analyzed using Spearman's correlation coefficient. Then, for vegetable items, the TOPSIS model based on entropy weight method was constructed, and the 8 most representative items were found among 251 vegetable items. Finally, the average monthly sales data of the selected vegetable products was visualized, the distribution pattern of the sales of each vegetable product was analyzed and the correlation coefficient of Spearman was used to analyze the sales of different vegetables.
Analysis Of Profit Model of Network Broadcast Platform -- Taking Huya Live Broadcast as An Example
Authors: Shen Yuzhi
Published: June 2024

The continuous development of the Internet has created the rise of different Internet entertainment industries, and the network broadcast industry is an important part of it. Since 2013, China's network broadcast platform began to sprout; In 2015, it began to enter a blowout period, and a large number of network broadcast platforms mushroomed in people's field of vision; By 2019, China's network broadcast industry has entered a mature development period, and the industry shows a pattern of "two super and many strong" with Tiger teeth and Betta fish as the head platform. Whether the current profit model of the network broadcast platform can support the continued development of the platform? In addition, how to enrich the profit model of the network broadcast platform to meet the challenges in the future. Based on the above research questions, this paper will take Huya Live Streaming as an example, explore the profit model of Huya Live streaming platform through the combination of financial perspective analysis and non-financial perspective analysis, evaluate and summarize the existing profit model of the network live streaming platform, and make appropriate forecasts for its prospects. This paper is divided into four parts. The first part mainly introduces the research background and significance of this paper; The second part will explain the development status of Internet live broadcast, and make a preliminary analysis of Huya's current profit model; The third part will further analyze Huya's profit model from financial perspective and non-financial perspective, explain the advantages and disadvantages of the profit model and put forward corresponding suggestions; The fourth part summarizes the previous contents and makes future prospects
Research on Global Olive Oil Price Forecasting
Authors: Li Gangyi
Published: June 2024

Nowadays, commodity price forecasting has become a popular topic. The study of olive oil prices can inform pricing strategies and price positioning of olive oil. How to analyze the range and magnitude of price changes, as well as how consumers are likely to react to changes in olive oil prices, are important factors that will influence the future price trend of olive oil. Therefore, it is crucial for companies to set prices correctly. Since the ARIMA model has high forecasting accuracy and fewer parameters, the model has been chosen for most similar forecasts and is also chosen as a forecasting tool in this paper. The forecast results show that international olive oil prices will remain wildly high in the future, but the rate of increase will slow down. Since the data of recent years are heavily affected by COVID-19, the outliers of recent years also need to be dealt with if more accurate forecasts are needed, which is an unresolved issue in this paper. This paper also attempts to make some policy recommendations based on previous studies to moderate the rapid increase in olive oil prices.
Research progress and hotspot evolution analysis of wildfire disasters in national park communities
Authors: Zheng Guorui , Xu Han , Ling Xinya , Dong Janwen
Published: June 2024

In recent years, wildfire disasters have had an essential impact on national park communities' social, economic, and ecological structure, which has gradually become the forefront of academic attention. Therefore, to review the research history of wildfire disasters in national park communities, this paper used CiteSpace and Bibliometric R analysis tools to conduct a detailed analysis of 328 kinds of literature in the Web of Science database from 2002 to 2023. The data showed that the number of papers published was rising, and the subjects involved included ecology, botany and zoology. However, there is still a need for increased collaboration among the collaborating groups of authors, institutions, and countries. From the perspective of the research content, it mainly focused on the mathematical model and established a comprehensive database to simulate and predict wildfire disasters. Finally, we predict a future research direction using keyword clustering and burst detection -the management framework for wildfire disaster risk prevention. The key points include improving the governance mode of the country, community and enterprise and improving the simulation and prediction ability of mathematical models. This study provided a reference for promoting wildfire hazard risk identification and management in national park communities.
Analysis and Governance of "Greenwashing" Behavior in China's Green Bond Market
Authors: Zhang Jingjing , Li Deyu
Published: June 2024

With the Chinese government and leaders attaching great importance to the construction of ecological civilization and the green financial market, green bonds have become an important tool to promote green development. However, the problem of "green washing" in the market not only erodes investors' trust in the market, but also damages the credibility and actual effectiveness of green finance, posing a potential threat to the continuous promotion of ecological civilization construction. This article analyzes two typical behaviors of "greenwashing" in the Chinese green bond market: false labeling of green projects and opaque use of funds, and explores their causes, involving problems such as incomplete green bond standard formulation and certification system, weak regulatory crackdown, short-term interest driven corporate behavior, insufficient public green awareness and supervision. Targeted response strategies have been proposed: firstly, to improve the green bond standard formulation and certification system, ensuring the authenticity of green projects; Secondly, enhance regulatory efforts and punishment measures, and build a rigorous legal environment; The third is to improve the transparency of information disclosure, requiring enterprises to regularly disclose the progress of projects and the use of funds; The fourth is to establish a sound investor protection mechanism and safeguard the legitimate rights and interests of investors. Through these measures, it is possible to effectively regulate and curb "green washing" behavior, and promote the sustainable development of the green bond market.
An Effective Composite Investment Quantitative Strategy with Machine Learning Method
Authors: Yu Jun
Published: June 2024

In recent years, significant breakthroughs in AI and machine learning have garnered international attention. One such advancement is the development of key algorithms, including "machine self-learning and self-coding algorithms." These algorithms enable machines to continually learn from data and adjust parameters autonomously, without human intervention. Additionally, machines engage in "reinforcement learning," where algorithms achieve set goals through constant trial and error in specific environments. This has allowed current AI systems to adapt to more complex settings and learn more intricate content. In terms of data processing, AI has also made significant strides, particularly with "Recurrent Neural Networks" enabling current AI to handle sequential data more effectively like neural networks, natural language texts, and speech. Consequently, applying these technologies in the financial investment sector has become a hot topic in the industry. This paper outlines the limitations of traditional methods and proposes a new quantitative composite investment strategy. Our main approach involves designing an intelligent investment advisory model capable of self-learning, continuous self-improvement, and market adaptation. Our process includes analyzing industries, collecting extensive stock and securities data, and eliminating noise data. We then construct a model and assess its stability. Finally, accuracy is determined through an indicator. The results of our method show a high degree of similarity between the predicted stock prices and actual stock prices, indicating the effectiveness of our approach. Thus, our method offers a valuable reference for future applications.
*Thinking on the Delisting of ST Collin due to Financial Fraud
Authors: Zeng Liangyu
Published: June 2024

The Securities and Futures Commission (SFC) announced 2022 financial fraud cases are common, but because of the professional managers of false manipulation is rare, so this paper selected Collin environmental protection equipment Co., Ltd. based on business ethics and professional ethics perspective on its delisting due to financial fraud analysis, respectively, on the company's accounting staff and professional managers to reflect on the perspective, and to address the problem of the corresponding solutions and recommendations, hoping for the current corporate moral governance imbalance in the reality of the problem of reflection, the company's accounting staff and professional managers. We also propose corresponding measures and suggestions to solve the problem, hoping to provide reflection and reference for the reality of the imbalance of corporate moral governance, and expecting practitioners to improve the quality of professional ethics and to be alert to the ethical edges.
Analysis of Chongqing's Tourism and Economic Growth under the Impact of the Pandemic
Authors: Tang Haodong
Published: June 2024

Tourism is the backbone of any country's economic development. Domestic and offshore tourism was the most affected by the COVID-19 crisis, and more than any other sector globally in China. China's once flourishing tourism industry has endured a significant impact due to travel restrictions, regional isolation, and quarantine measures. This study focusses on historical tourist economic data from the micro to the macro level in order to assess the impact of tourism on Chongqing's and China's economy both before and after the pandemic crisis. The study used the vector error correction model (VECM) to quantitatively analyze data on Chongqing Gross Domestic Product (GDP), China tourism revenue (CTR) and Chongqing tourism revenue (CQTR) for the period from 2004 to 2023. The results show that COVID-19 leads to a significant decline in tourism-related income. In terms of the relationship between the two, after quantitative analysis of variance the effect of CQTR on Chongqing GDP is unidirectional rather than the main cause of Chongqing GDP, and the relationship between CQTR and CTR is bidirectional and interacts with it. This also explains why the CQTR dramatically drops in 2021–2023 while Chongqing GDP grows continuously and shows the reason why CQTR and CTR go up or down in the same trend.
Digital Transformation and Foreign Direct Investment of Enterprises:Evidence from Listed Companies in China
Authors: Ma Xuyang
Published: June 2024

The rapid development of the digital economy has been instrumental in driving corporate digital transformation, exerting profound effects on enterprises' outward foreign direct investment (OFDI). Concurrently, advancements in digital technologies have led to qualitative and quantitative leaps in the quality and scale of trade and investment. Based on theoretical analysis, this paper focuses on A-share listed companies on the Shanghai and Shenzhen Stock Exchanges between 2011 and 2021, examining how digital transformation promotes enterprises' outward OFDI and its underlying mechanisms. The research reveals that corporate digital transformation significantly enhances their engagement in outward foreign direct investment, and this conclusion remains robust after being subjected to various robustness checks, including indicator substitution, interaction fixed effects, double clustering robust standard errors, and panel quantile regressions.Moreover, upon conducting endogeneity tests using the mean value of a digital transformation index grouped by year and industry as an instrumental variable, the findings still hold firm. This study enriches the body of knowledge on the economic consequences of digital transformation for tangible businesses and the factors influencing corporate outward foreign direct investment. It provides valuable insights to guide enterprises in more effectively expanding into overseas markets.
Research on Strategies to Improve the Dynamic Response Capability of Photovoltaic Inverters Based on Model Predictive Systems
Authors: Jiang Jiyue , Liu Jialu , Yang Tianfan
Published: June 2024

While electronic technology has facilitated production and daily life, it has also brought certain issues, with leakage current being one of the most typical problems. Excessive leakage current can damage electrical equipment and even threaten the safety of personnel. Achieving maximum electrical safety has become a research hotspot in recent years. This paper, based on photovoltaic power generation systems, aims to improve the dynamic response capability of photovoltaic inverters through the establishment of predictive systems. The paper first analyzes the working principle and existing problems of model prediction, then lists the principles of three optimization schemes, including the introduction of virtual voltage, the two-step prediction method, and the recursive least squares method. It also analyzes the advantages and disadvantages of these three schemes and finally proposes the future development direction of using model prediction to suppress leakage current issues.
Empirical Analysis of Stock Patterns in the Hong Kong Stock Market Based on Asset Pricing Models and Prospect Theory
Authors: Wang Honglin
Published: June 2024

COVID-19 impacts hundreds and thousands of people globally while increasing volatility in the Hong Kong stock market, Asia’s financial hub. This paper aims to investigate whether prospect theory and COVID-19 can help illustrate variations in stock returns on the market based on asset pricing models. The empirical findings demonstrate that the pandemic triggers volatility in the Hong Kong stock market. The return of Portfolios is highly correlated to Hong Kong’s broad stock market. Five factors of Fama French models help improve the model’s performance by capturing cross-sectional anomalies such as firms’ size, profitability, etc. Prospect theory reinforces the accuracy of the model’s prediction, although explanatory power is minimal. Stocks with the highest previous monthly returns have higher returns in the current month. Momentum exists in the Hong Kong stock market, particularly stocks with large market capitalization. Value-weighted portfolios perform better than equal-weighted. Asset pricing models reach precise results because of R-square and are applicable to reflect stock returns’ patterns in the Chinese stock market.
Medidas comportamentais e fisiológicas: correlação e relevância para avaliação do bem-estar de bovinos de corte
Authors: Jardim Carla Comerlato , Silveira Isabella Dias Barbosa , Oliveira Roberson Macedo de , Fluck Ana Carolina , Costa Olmar Antônio Denardin , Mendonça Fabio Souza , Vaz Ricardo Zambarda
Published: June 2024

Este trabalho investigou a correlação entre o escore de balança e distância de fuga com os indicadores fisiológicos de estresse e sua relevância para avaliações de bem-estar de bovinos de corte. Comparou-se pesquisa de glicemia plasmática por exame laboratorial com pesquisa em sangue capilar medida por glicosímetro portátil para testar/validar metodologia para bovinos. Foram estudados 36 bovinos distribuídos em dois tratamentos, onde cada animal foi considerado uma unidade experimental. Os grupos foram formados aleatoriamente com 18 bovinos cada, sendo esses avaliados por 490 dias. Foi realizada análise descritiva (média, desvio padrão e coeficiente de variação), análise de medidas repetidas no tempo e estudo de correlação de Pearson seguido de teste de aleatorização. O efeito dos tratamentos foi mensurado pelos indicadores distância de fuga, escore composto de balança, glicemia plasmática, glicemia capilar e cortisol sanguíneo, avaliados em repetições no tempo. Os resultados demonstraram que escore composto de balança e a distância de fuga são medidas moderadamente (0.57414) associadas enquanto escore composto de balança, glicose capilar (0.63870), glicose plasmática (0.63386) e cortisol (0.62329) estão altamente correlacionadas. Escore composto de balança, glicose e cortisol são indicadores confiáveis para determinação do grau de bem-estar dos animais. O glicosímetro portátil demonstrou precisão na determinação dos níveis glicêmicos em bovinos.
Xác định độ sâu đáy biển từ dị thường trọng lực.
Authors: Đinh Xuân Mạnh , Nguyễn Văn Sáng
Published: June 2024

Mục đích của nghiên cứu này là xác định được độ sâu địa hình đáy biển từ dị thường trọng lực có nguồn gốc từ đo cao vệ tinh. Mối liên hệ giữa độ sâu đáy biển và dị thường trọng lực đã được nghiên cứu; Tương phản mật độ vật chất phù hợp được xác định bằng phương pháp lặp; Dị thường trọng lực bước sóng dài được nội suy bằng phương pháp Collocation. Trong phần thực nghiệm, mô hình DTU21GRAV được đánh giá độ chính xác bằng cách so sánh với trọng lực đo trực tiếp, đạt ±4,509 mGal; chín phương án với tương phản mật độ khác nhau đã được tính lặp. Sau khi làm khớp với dị thường trọng lực đo trực tiếp, dị thường trọng lực từ mô hình DTU21GRAV đã được sử dụng để tính ra độ sâu đáy biển trên khu vực nghiên cứu. Kết quả thực nghiệm cho thấy: tương phản mật độ phù hợp nhất trên khu vực nghiên cứu là 1,29 g/cm3. Độ chính xác của độ sâu trọng lực trên khu vực nghiên cứu đạt ±70,833 m. Độ chính xác này cao hơn của mô hình độ sâu toàn cầu DTU18BAT(±181,864 m) và GEBCO2022 (±143,232 m).
Nghiên cứu xây dựng mã định danh thửa đất thống nhất dựa trên tọa độ tâm thửa.
Authors: Đồng Thị Bích Phương , Trần Đức Thuận
Published: June 2024

Bài báo trình bày kết quả khảo sát đánh giá các phương pháp xây dựng mã định danh thửa đất, xác định yêu cầu về mã định danh thửa đất thống nhất phục vụ quản lý đất đai và đề xuất phương pháp xây dựng mã định danh thống nhất dựa trên tọa độ địa lý tâm thửa đất phù hợp với thực tiễn quản lý đất đai Việt Nam.
Compact and dispersed cities: From the perspective of coexistence and sustainability
Authors: Alarcón Zambrano Jaime Alfredo
Published: June 2024

The purpose of this work is to compare and analyze the two opposite urban development models of compact cities and decentralized cities through five axes and determine which model is most suitable to promote urban coexistence and sustainability. Therefore, this paper makes a literature study on the coexistence and sustainability of cities and the characteristics of the two urban development models of compact cities and decentralized cities. The two models are compared and distinguished through five axes so that they can be compared under the variables of coexistence and sustainability. In the most revealing survey results, it was pointed out that compact cities are the most appropriate urban development model. Therefore, under the principles of compatibility, solidarity, and sustainability, cities are not only a “living space” but also a “space for living together”. The main conclusion is that in order to achieve urban coexistence and sustainability, a relevant urban development model and citizen commitment are needed.
Ecological area: An elastic space for urban-rural interaction
Authors: Molina-Murillo Sergio A.
Published: June 2024

The present report is based on a consideration of the environmental, economic, and social challenges facing urban and rural areas in Latin America, many of which are the result of structural changes experienced by the region in recent decades. The main purpose of this document is to demonstrate the urgent need to link urban and rural spaces to meet the challenges that will move the Latin American region towards sustainable development. Focus on ecological areas, such as resilient urban-rural systems that interact in a sustainable manner. This is reflected in the author’s experience and the cases recorded in the literature. To this end, an integrated approach is proposed between natural (ecosystems) and socio-economic components (communities) in rural and urban areas and between them, characterized by semi-rural and semi-urban arrangements. As a conclusion, a reform is proposed to overcome the adaptive sectoral actions in the current development model, which is characterized by exclusivity, inefficiency, and unsustainability.
Le souvenir est-il une image ? Réflexions sur la phénoménologie husserlienne de l’imagination
Authors: Hervy Alievtina
Published: June 2024

Comment situer le souvenir au sein de la phénoménologie husserlienne ? Dans ses travaux consacrés aux présentifications intuitives, Husserl étudie les liens qui unissent les phénomènes de la conscience d’image, du souvenir et de la Phantasia. Ce faisant, il établit diverses parentés entre ces phénomènes. D’une part, il associe la Phantasia à la conscience d’image. D’autre part, il rapproche le souvenir de la Phantasia. Plus spécifiquement, alors que l’on serait couramment tenté de rapprocher le souvenir de la perception, Husserl semble rattacher le souvenir au champ de la Phantasia, et lui attribue le caractère de l’image. Au sein de notre réflexion, nous interrogerons l’hypothèse d’une définition du souvenir comme conscience d’image. De la sorte, nous montrerons de quelle manière la question du souvenir invite à une réflexion sur la conception husserlienne de l’image.
Remarques sur la périodisation de la comédie et du comique dans la théorie antique
Authors: De Cremoux Anne
Published: June 2024

L’auteur revient ici sur la conception encore aujourd’hui dominante de l’histoire de la comédie grecque antique, comme l’histoire de trois phases successives, la comédie ancienne, moyenne et nouvelle. Elle étudie deux exemples des textes qui ont fondé cette tripartition : ceux d’Aristote et ceux de Platonios. Si ces textes ne présentent en réalité pas de théorie homogène, on y trouve des éléments communs de définition du comique qui seront encore utilisés dans les théories modernes.
Du comique ou de la dramaticité aux dialogues « champêtres » de Varron et de Cicéron ?
Authors: Trevizam Matheus
Published: June 2024

Dans ce travail nous nous proposons d’étudier la réalisation du dialogue dans les œuvres Cato Maior de Cicéron et De re rustica de Varron de Réate. En les étudiant, nous remarquons que les genres littéraires du dialogue et du théâtre présentent beaucoup de ressemblances significatives, ce qui permet de trouver dans ces deux ouvrages, d’une manière très spontanée, des caractéristiques propres à l’univers théâtral. Dans un premier temps, nous aborderons certains aspects généraux concernant ces caractéristiques théâtrales repérées dans les dialogues, comme par exemple la dramatisation ou bien la présence directe de gestes des personnages ; ensuite nous étudierons d’autres caractéristiques plus spécifiques telles que l’emploi de la terminologie théâtrale pour mentionner métaphoriquement les actions de l’homme. Cela dit, les deux textes étudiés présentent une dramaticité théâtrale particulière. Ainsi, la première œuvre citée nous laisse voir une dramaticité dans un sens général ou philosophique tandis que la seconde est pleine de sens comique.
Thalie et le perroquet. Le sourire humoristique d’Ovide dans les Amores 2. 6
Authors: Kossaifi Christine
Published: June 2024

Dans les Amores 2. 6, Ovide exerce ses talents de parodie sur le perroquet de sa maîtresse, Corinne. La mort du psittacus donne lieu à une réécriture humoristique des chants de deuil homériques, à une adaptation ludique de la rhétorique de la consolatio et à une catabase épico-comique dans « le séjour des oiseaux pieux ». Mais, cette fable amusante est aussi une réflexion sur la poésie définie comme imitation créatrice et nourrie d’humour ; le jeu se fait ici sur les hypotextes virgilien, catullien et callimachéen. Enfin, en rapprochant implicitement le perroquet d’Orphée, Ovide affirme la puissance immortalisante de ses vers vivifiés par le sourire humoristique de Thalie dans le discrédit ironique et anamorphosant de sa propre autorité poétique, siqua fides dubiis…
Effet de la variabilité terminale sur la vitesse d’exécution et le couplage des mouvements inclus dans une même séquence motrice.
Authors: Delevoye-Turell Yvonne , Lewkowicz Daniel
Published: June 2024

Dans la littérature du contrôle moteur, plusieurs théories récentes proposent que le cerveau agit comme un contrôleur optimal, en planifiant les actions motrices de telle sorte que la variabilité d’exécution soit minimale (HARRIS et WOLPERT, 1998 ; VAN BEERS et al., 2004 ; pour revue : TODOROV, 2004). Dans la présente contribution, nous avons étudié l’effet d’une instabilité terminale sur les caractéristiques de planification précoce dans une tâche séquentielle de manipulation d’objet. La tâche du sujet était de saisir un objet pour le placer sur un réceptacle dont la stabilité était plus ou moins prévisible. Les résultats ont révélé une modification précoce de l’exécution motrice avec notamment une réduction significative de la vitesse d’exécution dès le premier élément de la séquence, en réponse à une instabilité de la plateforme terminale. De plus, un meilleur couplage a été observé entre les paramètres cinématiques des sous-éléments de la séquence d’autant plus que l’instabilité induite expérimentalement était prévisible. Ces résultats sont en accord avec le modèle de planification par anticipation (FISCHER et al., 1997 ; HERBORT et BUTZ, 2007) et apportent un éclairage nouveau sur la notion de rétro-propagation des contraintes environnementales et également, sur le phénomène de planification couplée.
Récit et interactivité : typologie des interactions narratives
Authors: Hurel Pierre-Yves
Published: June 2024

Cet article a pour objectif de produire une première typologie des éléments du récit qui prêtent aux interactions narratives ; concept défini ici comme reprenant les possibilités pour l'usager d'un récit interactif d'agir sur les développements de l'histoire. L'interactivité narrative y est développée en elle-même mais aussi au regard d'autres types d'interactions. Le tout se fait dans une problématique de l'engagement (en partie en opposition au concept de participation) de manière à situer sur un même continuum la réception (trop souvent pensée comme passive) et l'interaction en elle-même. La typologie est construite sur base de la définition des degrés de narrativité proposée par Françoise Revaz. L'article se termine sur une première mise à l'épreuve à travers l'analyse descriptive de trois jeux vidéo et d'un webdocumentaire.
La médiation des savoir-faire en lecture de l’œuvre de jeunesse dans un contexte scolaire multiculturel
Authors: Belyasova Julia
Published: June 2024

Dans cet article, la question de la médiation des savoirs est abordée du point de vue du sujet-apprenant en mettant en avant les rôles du professeur-médiateur. Ce dernier est présenté comme prescripteur du livre, incitateur à la lecture, et initiateur à l’acte de « bien lire » en même temps. À travers l’expérience réalisée dans trois classes différentes, il est démontré que le professeur influence considérablement le processus de l’acquisition de l’autonomie dans la lecture des œuvres littéraires par les élèves-lecteurs non experts.
Le rôle du chercheur dans la médiation des savoirs. Le cas de l’éducation physique
Authors: Clerx Marie
Published: June 2024

En Belgique francophone, le stage de formation continue du CUFOCEP (Centre Universitaire pour la Formation Continue en Education Physique) accueille près de 850 enseignants d’éducation physique depuis 30 ans. Les stagiaires s’initient ou se perfectionnent, durant 15 heures, dans deux activités choisies parmi une soixantaine. Lecomte (2002) positionne cette formation comme une ressource majeure dans la construction de la pratique enseignante. Dans la présente recherche, nous nous intéressons à l’enseignant, sans cesse en apprentissage dans sa situation de travail (BILLETT, 2001). La participation au stage lui permet-elle de s’adapter à un environnement organisationnel changeant, dans le but de l’améliorer, par des réinvestissements multiples ? Le cadre théorique de référence est celui de la connaissance ouvragée (VAUSE, 2010) de l’enseignant. Afin d’évaluer les réinvestissements effectués à la suite du stage de formation continue, un dispositif de capture, de traitement et d’analyse vidéo est mis en place en partenariat avec un enseignant et ses élèves. Ce dernier est observé et filmé lorsqu’il anime un cycle d’acrosport, discipline suivie en formation. Les événements significatifs sont repérés et discutés lors d’un entretien d’autoconfrontation. Cette étude démontre l’impact majeur du chercheur dans la médiation des savoirs acquis par l’enseignant lors de la formation et réinvestis sur le terrain. Bien que la démarche soit coûteuse en temps et en investissement, la présence et l’intervention du chercheur aux différents moments du processus d’intégration des nouveaux savoirs constituent un bénéfice pour l’enseignant tant sur le plan pratique (montage vidéo, dvd) que sur le plan réflexif (via l’entretien d’autoconfrontation).
L’impact de la charge mentale et de la charge émotionnelle sur le bien-être des travailleurs sociaux : vérification de l’effet de médiation de la satisfaction des besoins fondamentaux
Authors: Bouterfas Naouële , Desrumaux Pascale
Published: June 2024

Cette étude tente de vérifier le rôle médiateur de la satisfaction des besoins fondamentaux dans la relation entre la charge mentale, la charge émotionnelle et les deux indicateurs de santé psychologique au travail que sont le bien-être et la détresse psychologiques des travailleurs sociaux (N = 136). L’opérationnalisation du modèle de médiation est basée sur le modèle prévisionnel de santé psychologique au travail (BOUDRIAS, SAVOIE et BRUNET, 2000). Des analyses de médiation suggèrent que la satisfaction des trois besoins fondamentaux est un médiateur du lien entre la charge mentale et la détresse psychologique, et médiatise le lien entre la charge émotionnelle et le bien-être psychologique.