bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Open Distribution Path for Rural Fresh Food under Genetic Algorithm
Authors: Yue Xiaoqi
Published: November 2023

In recent years, as the market scale of China's cold chain logistics continues to expand, the use of fresh food e-commerce platforms such as Temu, Taocaicai, and Meituan Grocery has become more and more popular in rural areas. In order to reduce the cost of rural fresh logistics, this paper introduces the fresh electricity supplier "community group purchase" distribution mode, starting from improving the distribution efficiency of rural fresh logistics, and comprehensively considering the commodity demand of rural users, the freshness of fresh goods delivered to users, open route planning distribution vehicles and other factors. A capacity-constrained open vehicle routing optimization model with the goal of minimizing the total distribution cost was constructed and solved by genetic algorithm. This paper proves that the open vehicle distribution can improve the efficiency of logistics distribution more effectively, reduce the total cost of logistics distribution, and promote the development of rural fresh food market.
The Signaling Game: Unraveling the Surprising Revenue Surge and User Engagement in KEEPs Revised Medal Events Model
Authors: Chen Yajie , Wang Zhaoyi
Published: November 2023

Keep, the popular fitness platform on Chinas fitness platform, improved its marketing strategy by transforming medals from being earned unconditionally to being earned after exercise. Previous studies have stopped at examining the equilibrium Keep companys business model for the signaling game, with the gap of the signaling game to analyze the companys business strategy. This paper presents a novel theoretical model aimed at elucidating the operational dynamics that attract a higher user base under improved conditions for Keep medal acquisition. Drawing from the foundation of signaling game theory, the model categorizes users into distinct groups and observes the ensuing public responses. The study culminates in a discerning conclusion that Keep highlights the inclination of health-conscious users to engage in medal acquisition, thus signaling their commitment, in contrast to the reluctance of more indolent individuals to participate. Companies can leverage this mechanism to entice health-oriented individuals, ultimately expanding their customer base. The implications of this research extend directly to real-world scenarios, offering strategic insights for companies.
Corporate Social Responsibility in Promoting Business Brand
Authors: Guo Huixuan
Published: November 2023

Whether a company undertakes social responsibility is a hotly debated topic. This paper aims to investigate the relationship between social responsibility and brand image for companies. The study in this paper is based on the report of Goodpaster, who emphasized the importance of corporate social responsibility (CSR) and other professors like Clark and Jonson with their studies analyzing profit-making as the only aim for the company. Theoretical insights from Freeman and Goodpaster are synthesized in the context of social responsibility, based on which a conceptual framework is thus proposed. Freeman defined of society as any group or individual who can affect or is affected by the achievement of corporate objectives. It is found if enterprises undertake corporate social responsibility, there will be more support, brand image will be improved, and social impact will be improved. This article provides a theoretical reference for corporate social responsibility.
Analysis of the Influencing Factors of the RMB Exchange Rate
Authors: Li Hanjiang
Published: November 2023

During the second quarter of 2023, China's GDP expansion demonstrated a performance that fell short of market forecasts, suggestive of a broader economic deceleration. This phenomenon was exacerbated by the widening disparity in bond yields between the United States and China, culminating in a sustained devaluation of the Renminbi (RMB) exchange rate. The escalating pressures leading to RMB depreciation have consequently impeded the natural progression of RMB internationalization. Considering these circumstances, a comprehensive exploration of the multifaceted determinants influencing the RMB exchange rate assumes paramount significance, as it holds the key to mitigating the protracted challenges of RMB depreciation and its attendant instability. This study strives to synthesize the existing body of literature while meticulously selecting several factors that manifest a substantive degree of pertinence to the (RMB) exchange rate. The application of the robust least squares methodology entails the estimation of regression coefficients, thereby engendering a systematic exploration into the nuanced interplay between the multitude of factors and their discernible impact upon the RMB exchange rate. The discernments gleaned from this empirical inquiry accentuate the paramount role ascribed to China's macroeconomic milieu in orchestrating the oscillations witnessed within the RMB exchange rate realm. Remarkably, this relationship's dynamism unveils its mutable nature across diverse temporal domains. Consequently, this exploration elucidates that recalibrating the composite array of pivotal variables, in consonance with the unique temporal exigencies, emerges not only as a prudent approach but an indispensable necessity to achieve the pinnacle of research precision.
Research on Community Marketing of Online Games under the SICAS Model --Taking the Genshin Impact as an Example
Authors: Yao Xingyi
Published: November 2023

In recent years, the number of online game players has grown rapidly, the number of game brands has exploded, players have a wide range of choices, and the motivation to consume has become complicated from a single recreational pastime with strong social interaction. Unidirectional game brand promotion has already impressed consumers, and the community-based marketing model has been favoured by many game brands. It is necessary to explore more effective community marketing methods for game players for the development of game products. In view of this, this paper takes the typical representative of Genshin impact as an example and analyses the community marketing of Genshin impact based on the SICAS model applicable in the digital era. The author analyses the operation of the official and player-built communities of Genshin impact, and summarizes the advantageous features of its community marketing and the serious problems it faces. The study concludes that in the era of Internet social media, game communities need to satisfy the three characteristics of diversified content, rewarded discussion and strong interaction. The study also emphasises the official guidance rather than interference, so as to enhance the influence of community communication and the consumption desire of community users.
Price of Ethereum Token Effect on the Non-Fungible Token User Trading Activities in the 2020s
Authors: Zhang Shuang
Published: November 2023

This research investigates the relationship between the price of the Ethereum token and Non-Fungible Token (NFT) trading activities on the Ethereum blockchain in the 2020s. Through regression analysis and t-tests, the study explores how changes in Ethereum's price and price volatility influence NFT trading behaviors. The regression analysis reveals significant positive correlations between Ethereum's price and various NFT trading variables, indicating that an increase in Ethereum's price positively impacts sales volume, unique sellers, unique buyers, and average sales of NFTs. Conversely, Ethereum's price volatility demonstrates significant negative associations with NFT trading activities, suggesting that market uncertainty and risk aversion influence investor decisions. The findings provide valuable insights for practitioners, investors, and traders in the NFT market, offering guidance for decision-making strategies and market trends; however, the study also acknowledges limitations in establishing causal relationships and suggests future research directions. Understanding the dynamics between Ethereum's price and NFT trading activities is crucial in navigating the evolving landscape of blockchain-based assets and decentralized markets.
Analysis on Electric Vehicle Industrys Business Strategies -- Taking Tesla as an Example
Authors: Yu Hanxu
Published: November 2023

Tesla, a trailblazing firm noted for its innovative business practices, is at the vanguard of the automotive industrys transition brought on by the rise of electric automobiles. The paper analyzes Teslas business strategy in depth and looks at how it has affected the electric vehicle market. The study uses a literature review approach to look into Teslas novel business strategies, market positioning, and eco-friendly projects. This research analyzes academic literature, business reports, and case studies to determine what has contributed to Teslas success and offer practical suggestions for future study. The results highlight the revolutionary effect Teslas strategy has had on the automotive industry and the global advancement of electric vehicles. The paper elucidates the underlying strategic mechanisms that fuel Teslas expansion and market supremacy. Policymakers interested in encouraging sustainable mobility solutions and businesses planning to participate or compete in the electric car market can both learn valuable lessons from the results.
The Impact of Covid-19 Transmission and Control on the Tourism Industry and Touristic Countries: A Case Study of Saint Lucia and the Maldives
Authors: Ma Xiao
Published: November 2023

COVID-19, which was recognised by the WHO as a highly contagious respiratory pandemic with a worldwide impact, has hit almost every industry hard. Measures taken by countries and regions to restrict population movement in response to the pandemic have had a more serious negative influence on the tourism industry. Saint Lucia, an island in the Caribbean, was also badly affected by COVID-19 because its economy is highly dependent on the high-risk nature of the tourism industry. This study compares the changes in data related to the tourism industry in Saint Lucia before and after the outbreak to analyse the concrete manifestation of the impact of COVID-19 on it. In addition, based on the rapid recovery of the tourism industry in Maldives, another similar tourism-based island country, this study compares the measures implemented in Maldives to provide some recommendations for the future recovery of Saint Lucias tourism economy and the sustainable development of the tourism industry.
The Impact of ESG on Management Tone: Empirical Evidence from China
Authors: Xiaofan Xie
Published: November 2023

This paper aims to delve into the effects and mechanisms of ESG (Environmental, Social, and Governance) performance on management tone, taking a comprehensive view from psychology and behavioral finance. The studys findings shed light on the considerable impact of ESG performance on enhancing managers enthusiasm in their speech. Interestingly, this effect is more pronounced in enterprises operating in densely populated areas. Through a meticulous mechanism analysis, it is determined that ESG performance primarily influences managers tone through two key channels: alleviating financing constraints and bolstering financial performance. By delving into the internal logic of ESG practices on managers emotional tendencies, this paper contributes to the existing literature from both psychological and behavioral finance perspectives. Notably, it unveils the fact that managers do not adopt a negative demeanor as a result of ESG practice. On the contrary, ESG practices have the potential to foster a positive and constructive atmosphere in managerial communication.
Interpreting the Post-Epidemic Banking Sector from a Game Theory Perspective Using Silicon Valley Bank as an Example
Authors: Jiang Jinling
Published: November 2023

Overview of the trend in the banking industry after the epidemic, regarding the rise of digital banking (neobanking) and customers investment behavior a low-risk portfolio is what most people prefer. The trend of moving business from bank branches to online is a remarkable evolution during COVID-19 and is likely to be the future operation mode of the banking industry. From the general view of the banking industry to the specific bank, a case study of Silicon Valley Bank (SVB) is employed to explain the relationship between game theory and bank run. This paper focuses on identifying the failure of SVB through the discussion of economic aspects such as fund rate hikes and applying game theory and higher-order beliefs to SVBs case. It finds out that the unique equilibrium for players is a bank run, which needs sound policy and tangible action from authorities to reduce its negative impact on customers and other financial institutions. SVBs bankruptcy does not trigger another major financial crisis, but the severity of the bank run still needs to be taken seriously.
Changes of Consumer Behavior in the Internet Era and Its Impact on Advertising and Marketing
Authors: Yuan Chenying
Published: November 2023

In recent years, the emergence of the digital economy era has prompted significant transformations in peoples purchase patterns, hence presenting novel obstacles for online merchants engaged in advertising and marketing activities.The present study examines the shifts in consumer behavior and its ramifications for advertising and marketing practices within the context of the internet era. This study offers a thorough analysis of the distinctive characteristics of the internet era and explores theories and concepts related to consumer behavior and advertising marketing. This study aims to investigate the influence of the internet on consumer behavior and the emergence of individualized needs through a thorough analysis of relevant literature. The research findings suggest that the internet has had a substantial impact on consumer behavior, resulting in alterations in consumer preferences, buying patterns, and decision-making procedures. This statement underscores the critical need of implementing personalized marketing strategies that address the unique requirements of individuals within the context of the digital age. Additionally, the research highlights privacy problems and deceptive advertising as notable obstacles encountered by advertisers in the digital age. In summary, this study contributes to our understanding of the impact of the internet on consumer behavior and its subsequent consequences for advertising and marketing.
Analysis and Forecast of Contemporary Chinese Population
Authors: Hu Yanting
Published: November 2023

The analysis and projection of current Chinese population dynamics is the main emphasis of this study. This topic is extremely important in terms of demography, economics, sociology, and international relations. With approximately 1.43 billion people, China is the most populous country in the world and a worldwide giant in both economic and geopolitical terms. This study looks at historical, cultural, economic, and policy-related issues in an effort to understand the intricacies that have led China to this demographic prominence. China's population increase may be traced back to its ancient civilization, which cultivated cultural customs and conventions that still have an impact on demographic patterns now. The demographic dividend, a population surge in the middle of the 20th century, signaled a turning point, and the one-child policy that followed, implemented in 1979, produced distinctive demographic contours and long-term repercussions. Fertility rates and generational dynamics have been influenced by the government's evolution of family planning programs, which have ranged from strict measures to more relaxed methods. Understanding and predicting China's population changes is urgent because of the societal and worldwide repercussions of this country's changing demographics. This study sets out on an exploratory trip to understand the complex causes and possible future trends in light of previous studies. This paper wants to contribute to a thorough knowledge of China's demographic evolution and its effects on global society by shedding light on these factors.
Research on the Iterated Prisoner Dilemma Based on Combinations of Two-side Strategies
Authors: Zhang Jie
Published: November 2023

The endless prisoner's dilemma game is described as a "primer" using the perspectives of the bilateral parties. Current research focuses on which player responds most effectively, which is a kind of self-protect behavior. Content analysis and mathematical justification were undertaken for the prisoners dilemma iteration to understand better how to improve the game in a partially competitive and cooperative collaborative setting. This aims to apply the two-side strategies to the real world, especially the political events in which the whole human outcome should be maximized. Participants, who were mostly chosen from game theory specialists from an experiment, provided the decision parameters and rules, in which they have to decide among certain personal strategy choices. The comparisons findings show that two-sided cooperation produces the best results. Still, two-sided inaction results in the poorest, and single cooperation and single noncooperation result from personal sacrifice and personal selfishness, which is a psychological phenomenon.
The Research of Optimal Portfolio in Technology Industry Based on Arithmetic Average Return, CAPM, and Fama-French Three-factor Model
Authors: Gao Ruihan
Published: November 2023

As hotspots of the stock market, technical companies are always popular to invest. In this background, this paper uses three common models in asset pricing to help the investors to make proper decisions. This paper comes to a conclusion that CAPM forecasts the ideal portfolio expected return with more accuracy than other techniques when the contrast group's time period is shorter than the experimental group's time period. Because Fama-French the three-factor model's factors don't operate over short time periods and arithmetic average return doesn't take enough market factors into account, it might not be more accurate. The conclusion in this paper takes an instruction of investment strategy to technical companies investors. Furthermore, it also helps the investors to allocate a proper portfolio.
The Influence of Social Network Characteristics in Shaping Consumers Behavior and Market Outcome
Authors: He Yang
Published: November 2023

Social networks are crucial in shaping consumers behavior and influencing market outcomes. These networks connect individuals and groups, facilitating the exchange of values, ideas, and information. Consumers within these networks are influenced by their social ties and interactions, leading to changes in attitudes, perceptions, and purchasing decisions. The structure and characteristics of these networks can impact the overall market dynamics, affecting product adoption, brand awareness, and overall market performance. Thus, understanding the influence of social networks on consumers behavior and market outcomes is essential for businesses to develop effective marketing strategies and succeed in a highly connected world. This paper will utilize data from social and economic networks to analyze and identify key network attributes that are influential from various perspectives, drawing resources from an extensive real-world database and supporting theories. This study aims to provide practical implications for marketers and businesses who seek to optimize their strategies in building market success, also for researchers, academics, and other interested parties that can benefit from the results by learning how to apply network analysis in their studies.
A Poverty Alleviation-oriented Study on the Factors Influencing Peanut Cultivation
Authors: Yang Ziying
Published: November 2023

In the context of continued poverty alleviation and high demand in China, the plantation industry is an indispensable way to help farmers get rich. China is the world's top producer of peanuts and the world's top consumer of peanuts, and the demand for peanuts is very high. Therefore, promoting peanut production by farmers can not only increase chemical production, but also bring farmers income and get rid of poverty. So it is of great significance to explore how to promote peanut cultivation. On the basis of previous research, this paper lists four factors affecting the peanut planting area, and finds the data of 16 provinces in China from 2012 to 2021, and carries out regression analysis. From the results, it can be seen that the government gives subsidies and strengthens the degree of mechanization can significantly increase the peanut planting area. When the number of employees reaches a certain level, further increase will fail to improve the output and have a negative impact. This concludes that government subsidies and increased mechanization can promote peanut cultivation, which in turn promotes poverty alleviation in an efficient manner.
Research on the 2008 Financial Crisis Regarding Financial Network
Authors: Ding Shiyun
Published: November 2023

The rapid withdrawal in the financial market due to the collapse of Silicon Valley Banks in 2023 brought reflections on the 2008 financial crisis. Past research has focused on modeling different types of financial networks that help explain bankruptcys contagion process. This paper discusses how these networks help to explain the 2008 financial crisis, followed by shedding light on the global impacts (European, Latin American, and Asian markets) of the crisis in terms of networks. The last section further discusses potential policies that could be used to prevent or predict severe contagion depending on different network structures, including adjusting the level of portfolio diversification for international investment, for example. This paper sheds light on the importance of financial networks regarding their contagion channel and wide application in the real economy.
Analysis of the Real Estate Market in Chinas Past and Present
Authors: Gong Hao
Published: November 2023

The real estate sector, which plays a significant role in land financing and is a foundational sector of the Chinese economy, is very important. By primarily examining data from the China Statistics Bureau, the China Statistical Yearbook, and real estate-related statistics, this paper examines the present growth pattern of Chinas real estate business and highlights possible concerns in the current real estate industry. The real estate market is clearly in a downturn right now, but there are also hidden risks of overinvestment that might undermine the stability of the financial system. This is what this papers data investigation reveals. As a result, the economic growth model that relies heavily on land financing cannot continue, and appropriate regulatory changes are needed to lower the risks associated with potential hidden hazards in real estate. Finally, it is recommended that the government carefully regulate the real estate market and, in the future, promote high-tech companies and financial industries to lessen the countrys reliance on land financing.
Stock Price Forecasts Based on KNN and LSTM
Authors: Chen Zihao
Published: November 2023

Every stock trader wants to successfully predict the price or trend of a stock in order to make a profit because stock price forecasts provide investors, traders, and financial professionals with signals about potential price movements, which can help them make more informed decisions about buying, selling, or holding stocks. This article selects the four largest stocks in the U.S. stock market by market capitalization: Google, Apple, Microsoft, and Amazon, and predicts their closing prices from 2013 to 2023. First, K-Nearest Neighbors (KNN) model is established for the closing price sequence after the first-order difference. Then a two-layer LSTM model is constructed to visualize the prediction results of the two models, and RMSE is calculated respectively. Comparing the prediction results of the two models, LSTM has a better prediction effect on the data set used in this paper. This paper finds that the LSTM model can capture the crucial time dependencies and relationships in financial time series data, which are essential for stock price prediction. Therefore, the LSTM model can often be used when predicting stocks in the future.
The Impact of Population Aging on Financial Services and Economic Development
Authors: Fang Hongyu
Published: November 2023

With the increasing aging population, it has had a profound impact on the financial services industry and economy. This study aims to explore the effect of population aging on the financial service industry and economy and propose corresponding countermeasures and suggestions. The aging population has brought challenges to the financial services industry. The increase in the elderly population has led to a rise in demand for financial products and services. Financial institutions innovate and develop financial products and services that meet the needs of older people. At the same time, the financial literacy of older people is relatively low, and financial institutions need to strengthen financial education and improve their financial knowledge level. Secondly, the aging population has had multiple economic impacts, with decreased labor supply and increased elderly care expenses putting pressure on economic growth. Financial institutions must pay attention to this trend, adjust loan policies, and support the development of emerging industries to promote sustainable economic growth. In addition, the change in the consumption needs of older adults has also brought new opportunities to the economy. Financial institutions can meet the consumption needs of older people and promote economic development through innovative products and services.
Stock Price Prediction Based on ARIMA and Neural Network
Authors: Liao Xinyu
Published: November 2023

The stock price is affected by many factors and is a very complex nonlinear and non-stationary system. Predicting stock prices is a classic problem. People hope to predict stock prices more accurately, so as to make profits through stocks. This article selects five stocks in the Nasdaq stock market from 2020 to 2023, and tries to use 3 AI models (ARIMA, CNN, LTSM) to predict and analyze their next days closing prices and use the RMSE as the index to analyze the prediction performance. This paper finds that the three models can predict the stock price next day well, among which the ARIMA model and LSTM model have better prediction results, average RMSE for them are about 3.3 and 4.5 while the CNN model has poorer prediction performance with RMSE 7.2. At the same time, paper is found that when the model has a turning point for the stock, all the models predict poorly. In the future, we can consider combining the eigenvalues of more stocks to reduce the impact of turning points on price prediction.
Stock Price Prediction for Technology Company
Authors: Wang Yuchen
Published: November 2023

Individuals aim to develop accurate models for stock prices to make informed decisions as investors, so they can determine opportune moments to purchase and sell stocks for maximizing profits. This paper select Apple stock from yahoo finance range from Aug 1st 2013 to Aug 1st 2023, and then forecasting its future 30 days stock price. This study contain four models, which are XGboost, linear regression, K-Nearest Neighbors (KNN) and Long Short-Term Memory (LSTM). Those models are all fit the train and test data and then draw a visualization plot. For selecting the best model, this paper use root mean squared error(RMSE) metrics and mean absolute percentage error(MAPE) and got the best model are Linear Regression and LSTM. Depending on the mechanism of four models, LSTM can treated as the best one to predict future stock price. In future study, researchers can use LSTM model more to predict stock price for other companies in order to get the best result.
Validity Testing of Classical Asset Allocation Models: An Empirical Study
Authors: Gao Chong , Xu Shengkai
Published: November 2023

This paper uses a 20 years of daily total return data for the S&P 500 Index (ticker symbol SPX) and 10 stocks, make all the necessary calculations to plot a portfolio area that gather an efficient boundary, a minimum risk or variance boundary, and a minimum return boundary together for a given set of constraints. Analyze all the outcomes in order to compare the various restrictions for each optimization issue (MM and IM), as well as the two solutions to the same optimization problem. The Excel solver was the primary tool utilized during calculation to resolve optimization issues for each point on the minimal risk or variance border. Also, this paper use an Excel solution table to calculate a large number of multipoints on any desired boundary. Through calculation and research, we found that, Markowitz model makes full use of covariance matrix to generate excellent portfolio. However, the results are numerically unstable. At the same time, the hypothesis of normality, stationarity and mean square error are verified. The exponential model simplifies the Markowitz model and produces more robust results. However, it introduces additional assumptions about the independence, normality, and homoscedasticity of the regression residuals, which are also invalid. The reduction (CDaR) model is hypothesis-free. The numerical stability can be obtained by transforming the nonlinear optimization problem into a linear programming problem.
Application of Various Mechanisms on Students School Choice Problem
Authors: Cai Zhenhao
Published: November 2023

School choice mechanisms are used to determine how to assign students to the public schools. These mechanisms take into account the students preferences order and the schools priority order to calculate an assignment that meets the needs and preferences of both students and schools. This paper sketches the school choice problem and its real-life condition in some cities, discusses the theory background of school choice problem and its specialty as a one-side matching problem. Also, this paper introduces the Defer Acceptance (DA) mechanism, the Top Trading Cycle (TTC) mechanism, the Boston (BOS) mechanism and the Serial Dictatorship (SD) mechanism. The paper analyzes four different mechanisms desirable properties, including strategy-proofness, stability and Pareto efficiency. Meanwhile, the flaws of the mechanisms are introduced. At last, based on the analysis and the purpose of improving students welfare, the paper raises some suggestion for the government, schools and parents, ensuring the students a transparent, fair and equal environment of choosing their schools.
L’héritage culturel de Plotin et de saint Augustin dans l’œuvre d’Albert Camus
Authors: Liu Chunnan
Published: November 2023

La Grèce antique constitue le berceau de la réflexion d’Albert Camus. Il a trouvé dans l’inépuisable génie hellénique la source de sa vision du monde, de sa relation avec l’univers, notamment son sens exceptionnel du tragique et du sacré, ainsi que des vues philosophiques auxquelles il est très attaché. Cet article met en lumière les influences de Plotin et de saint Augustin sur son œuvre. Comme chez Plotin, la recherche de l’unité à travers la beauté est au cœur de la pensée de Camus, tous deux ayant trouvé le bonheur ultime dans la fusion entre l’homme et l’univers. Ils découvrent chez l’homme une forme de divinité souveraine et se rendent compte, en même temps, de la force de la fatalité. D’autre part, Camus a en commun avec saint Augustin une même obsession du mal, de la mort et de la recherche de la vérité, même s’il ne partage pas avec lui le sens du péché et refuse totalement l’espoir d’un au-delà, le rapport au monde de Camus apparaissant à cet égard essentiellement païen.
Reconnaissance de mots en L2 chez les bilingues tardifs français-anglais : transfert d’une modalité sur l’autre
Authors: Cornut Camille , Mahe Gwendoline , Casalis Séverine
Published: November 2023

Les études sur l'apprentissage d'une langue seconde (L2) ne tiennent souvent compte que d'une seule modalité au cours des tâches expérimentales. Or, l’apprentissage d’une L2 a majoritairement lieu en contexte scolaire (bilinguisme tardif), principalement via des supports écrits. Notre étude questionne donc l’impact de la modalité, notamment sur la reconnaissance de mots en L2. En conditions expérimentales – i.e., de reconnaissance de mots isolés, on peut s'attendre à ce que les mots soient mieux reconnus à l’écrit qu’à l’oral.Quarante-huit étudiants français ont effectué des tâches de reconnaissance de mots en anglais L2 à l’oral et à l’écrit. Les données ont mis en avant l’effet de modalité attendu. L’analyse de l’impact de la première présentation des mots, écrits ou parlés, ne montrait pas d’amélioration de leur reconnaissance dans l’autre modalité. Ces résultats soulignent l’importance de la modalité dans la reconnaissance de mots en L2 et la faible incidence du traitement d’une modalité sur l’autre.
Tremper sa plume dans l’encrier du voisin
Authors: Decout Maxime
Published: November 2023

Pratique extrêmement fréquente dans la littérature, l’imitation semble pourtant loin de faire l’unanimité parmi les écrivains, et ce au-delà des époques et des esthétiques. Elle est volontiers décriée au motif qu’elle interdit d’être original. Aussi est-ce à la lumière des émotions qu’elle suscite chez l’écrivain, entre le plaisir, la haine et la peur, qu’il convient de l’ausculter pour mieux saisir sa pluralité et les enjeux qui y sont attachés. D’autant que même lorsque le plaisir d’imiter est affiché par le texte, il n’est pas sûr que l’imitation soit pratiquée de façon totalement sereine. La haine, la peur, la colère, la honte : ces affects peuvent se dissimuler derrière les manifestations les plus démonstratives de plaisir. Pourquoi ? Parce que l’identité que l’écrivain s’octroie par son style risque de ne plus lui appartenir et qu’il déroge alors à une valeur souvent conçue comme supérieure : l’originalité.
Musique et physique dans l’Harmonie universelle de Marin Mersenne (1636)
Authors: Gominet-Brun Julien
Published: November 2023

Cet article se consacre à la question des rapports entre la physique et l’acoustique dans l’Harmonie universelle de Marin Mersenne. L’ouvrage est une source de première importance dans l’histoire de la science moderne et la naissance du mécanisme. La musique constitue en effet pour l’auteur un lieu d’investigation intellectuelle à part entière, où il élabore une méthode d’analyse inspirée par les principes de la nouvelle physique. Dans cette étude, nous voudrions éclairer le projet scientifique de Mersenne et analyser ses stratégies d’écriture. Ludique et vivante, la plume du physicien se donne pour tâche d’interroger le réel et d’en décoder le sens, pour offrir au lecteur une représentation éloquente de la beauté du monde.
Forces centrifuges et centripètes dans l’élevage du renne en Iakoutie
Authors: Bureau Nicolas
Published: November 2023

Cet article souhaite mettre en valeur les techniques d’élevage auprès des Évènes éleveurs de rennes de Sibérie. L’élevage est analysé selon deux formes : une première, interactionelle, et une seconde, spatiale, au travers de l’exemple de deux villages de Iakoutie (Fédération de Russie). On observe ainsi deux manières différentes de pratiquer l’élevage du renne, liées à un contexte technique, social et historique propre à chacun. Toutefois, des similarités apparaissent et permettent d’entrevoir un équilibre de forces opposées et incompatibles, centripètes et centrifuges, qui dessine des catégories relationnelles particulières.
QUÁ TRÌNH PHÁ THẾ BAO VÂY CÔ LẬP, CẤM VẬN VIỆT NAM (1975 - 1995)
Authors: Thơ Thái Văn
Published: November 2023

TÓM TẮTTrong những năm 1975 - 1995, cách mạng Việt Nam cùng một lúc đối diện với nhiều vấn đề, thử thách tưởng chừng khó thể vượt qua. Sự bao vây cô lập, cấm vận khắc nghiệt của quốc tế, đứng đầu là những nước lớn cộng với việc thực hiện chính sách đối ngoại có phần thiếu linh hoạt, không sát với thực tiễn tình hình cách mạng đã khiến cho Việt Nam chịu nhiều thiệt hại và lâm vào tình cảnh vô cùng khó khăn, hiểm nguy. Nội dung bài viết góp phần chỉ rõ thực trạng cách mạng Việt Nam kể từ sau năm 1975 đến khi phá thế bao vây cô lập, cấm vận hoàn toàn năm 1995. Đồng thời, kết quả nghiên cứu cũng cho thấy những hoạt động chủ động, tích cực, nỗ lực của Việt Nam nhằm phá thế bao vây cô lập, cấm vận để tiến vào dòng chảy hội nhập toàn cầu. Cuối cùng, bài viết cũng nêu bật một số bài học kinh nghiệm đối ngoại trong những năm này hàm ý cho công tác đối ngoại của Việt Nam hiện nay và trong tương lai.Từ khóa: bao vây cô lập, cấm vận, chính sách đối ngoại Việt Nam, những năm 1975 - 1995. THE PROCESS OF BREAKING THE ENCIRCLEMENT AND ISOLATION, EMBARGO ON VIETNAM (1975 - 1995)Thai Van ThoForeign Trade University, Ho Chi Minh City Campus, VietnamCorresponding Author: Thai Van Tho - Email: thaivantho.cs2@ftu.edu.vn ABSTRACTDuring the years 1975 - 1995, the Vietnamese revolution at the same time faced many problems and challenges that seemed to be insurmountable. The encirclement and isolation, the harsh international embargo led by the great countries, combined with the somewhat inflexible foreign policy implementation, and not close to the reality of the revolutionary situation made Vietnam Nam suffered a lot of damage and fell into an extremely difficult and dangerous situation. The content of the article contributes to clarifying the current situation of the Vietnamese revolution since 1975 until the breakup of encirclement and isolation, and embargo in 1995. At the same time, the research results also show the proactive and active activities and efforts of Vietnam to break the encirclement and isolation, and embargo to enter the flow of global integration. Finally, the article also highlights a number of lessons learned from foreign affairs during these years, which have implications for Vietnam's foreign affairs work the present and in the future.Keywords: encirclement and isolation, embargo, Vietnam's foreign policy, the years 1975 - 1995.
Teaching Health Informatics in Middle School: Experience from an NIH AIM-AHEAD Pilot
Authors: Tardieu Gregory , Tekle Senait , Zanin Linda , Capshaw Teri L. , Libin Alexander , Zeng-Treitler Qing
Published: November 2023

Health informatics as a topic is rarely introduced to middle school students due to their age and insufficient background knowledge in computing and healthcare. At the same time, it has been observed that many students have lost interest in science and technology when they reach high school. Funded by the NIH AIM-AHEAD initiative, we embarked on a project to create a health informatics after-school initiative focused on AI. We recognize that students who identify as racial or ethnic minorities are less likely to be introduced to and less prepared for a range of STEM-H careers. Limited diversity in the life sciences and health professions has significant consequences for access to healthcare services. Preparing diverse students for the future "digitally proficient" healthcare workforce is fundamental to addressing health disparities, increasing cross-cultural communication, and positively impacting health equity. We acknowledge that students are more likely to thrive academically in areas of STEM- H when they have access to instructors from diverse races, ethnicities, and backgrounds who understand their experiences and perspectives.
Improving the Integrity of a Voting Process with Biometric Authentication and Data Encryption
Authors: Molina Walter M. , Mac Kay Lino R. , Subauste Daniel
Published: November 2023

Throughout the years, the voting process has under-gone a digital transformation, aiming to achieve greater control and optimize time while ensuring the integrity of each vote. While previous solutions have introduced changes in architecture and security processes, there hasn't been a defined secure model for voting. The applications developed in this study employed biometrics and a fingerprint reader for authentication security, along with cryptography algorithms to safeguard the flow of voting data. Experts and individuals involved in the Peruvian electoral process evaluated the web and mobile applications to determine their viability in a real-world context and their potential to enhance the electoral process in Peru. This evaluation was conducted through a case study involving 50 participants and satisfaction surveys, which qualitatively assessed the usability and effectiveness of the applications. The results indicated that the developed applications were well-received, perceived as intuitive, and provided an interactive experience.
Diferentes interpretações sobre uma fotografia por parte de indexadores utilizando o Modelo de Leitura baseado no Método Complexo e nas Funções Primárias das Imagens
Authors: Rodrigues da Silva Gislene , Da Consolação Dias Célia
Published: November 2023

O objetivo deste estudo é demonstrar como a intertextualidade e diferentes interpretações sobre uma fotografia interferem no momento da indexação.  Para alcançar esse objetivo, esta pesquisa utilizou o Modelo de Leitura para indexação de fotografias baseado no Método Complexo e nas Funções Primárias da Imagem proposto por Silva (2018). Tal modelo foi aplicado em uma atividade para a descrição de uma fotografia como amostra, desenvolvida por estudantes do curso de Biblioteconomia da Universidade Federal de Minas Gerais. Como resultado, identificou-se que a compreensão das informações do contexto em que a fotografia foi criada e utilizada interfere no processo de sua indexação.
Datos de Investigación en Enfermería
Authors: Ribeiro Cláudio José Silva , Fontes Braga Isaque
Published: November 2023

As dificuldades no processo de implantação do compartilhamento de dados, em especial com a prática dos princípios FAIR, permeiam várias áreas do conhecimento. Este relato trata de um estudo sobre o compartilhamento, uso e reúso de dados, voltado para a área de Enfermagem. Investiga artigos que contenham conjuntos de dados para a execução de um processo de FAIRificação, além de realizar um levantamento sobre o processo de transformação de datasets presentes na área de Enfermagem. Caracteriza-se como de natureza qualitativa para a análise de dados, com análise bibliográfica e documental na Brapci e em portais da área de saúde e no Google Acadêmico. Os resultados apontam para a literatura sobre FAIR e para as iniciativas em curso na área de Enfermagem, além de uma proposta para realizar as atividades de transformação dos datasets em FAIR, com possível aplicabilidade para a área. Conclui-se que, para torná-los FAIR, o processo de transformação de dados de pesquisa ainda é uma iniciativa difícil de ser conduzida e com algumas lacunas na área de Enfermagem.
RANCANG BANGUN PENDETEKSI KEBAKARAN DINI PADA KAPAL IKAN BERBASIS IoT DENGAN KOMUNIKASI LoRa
Authors: Anggara Trisna Nugraha  , Ahmad Arief Dwi Cahya Lumintang  , Rini Indarti  , Edy Prasetyo Hidayat  , Salsabila Ika Yuniza
Published: November 2023

Indonesia merupakan negara maritim dengan banyak pulau yang dikelilingi oleh lautan. Sebagian besar penduduk Indonesia yang tinggal di pesisir pantai bermatapencaharian sebagai nelayan. Rata-rata nelayan menggunakan perahu kecil sebagai kendaraan untuk menyeberangi lautan. Karena keterbatasan ruang yang dimiliki kapal-kapal kecil ini, banyak kendala yang dihadapi. Salah satunya adalah keterlambatan informasi jika terjadi kebakaran karena modul komunikasi hilang, yang berarti bantuan tidak dapat segera dihubungi. Syahbandar sulit mengetahui posisi akhir kapal saat berlayar atau melaut. Pada penelitian ini dikembangkan alat pendeteksi kebakaran kapal penangkap ikan yang diperlukan untuk mendeteksi dini kebakaran pada kapal penangkap ikan dan melacak lokasi kapal jika terjadi kebakaran. Alat bekerja selama pemantauan asap dan kebakaran. Sensor MQ 2 mendeteksi adanya asap dan sensor tersebut diumpankan ke Arduino Mega2560. Alat ini juga dilengkapi dengan GPS untuk mengetahui posisi kapal, keluaran dari GPS berupa informasi latitude dan longitude untuk koordinat kapal di tengah lautan. Koordinat ini juga menjadi input Arduino. Arduino Mega 2560 dilengkapi dengan modul LoRa sebagai transceiver, data sensor dan koordinat kapal yang diterima Arduino dikirim ke stasiun darat dengan LoRa. LoRa kemudian menerima data dan sinyal dari kapal di stasiun darat. Informasi ditampilkan di komputer dan dapat dilihat oleh penyelamat di stasiun bumi. Petugas dapat memberikan bantuan dengan cepat karena mengetahui koordinat kapal dari data yang ditampilkan di komputer.
Digital Fabrication: How its related to Architecture
Authors: Rai Vedansh , Sharma Sameer
Published: November 2023

Technological developments in architecture continued such as parametric design methods with computational optimization process and digital fabrication to make a scale model. Digital fabrication defined as the process of manipulating objects using CNC router machines, 3D printers, and laser cutters through reduction or addition methods. This technology believed in providing convenience advantages in making an architectural scale model, which gives more precise results with a faster manufacturing process. Digital fabrication is affecting the architectural design process due to the increasingly important role it has in the fabrication of architectural models. Many design professionals, professors, and students have experienced the benefits and challenges of using digital fabrication in their design processes, but many others in the field are not yet aware of the possibilities and drawbacks afforded by these technologies. The research presented here unveiled key issues on the matter through a series of interviews with different individuals, focusing on digital fabrication in their practices and schools, utilizing eight digital fabrication methods, such as three-dimensional printing, laser cutting, and desktop milling. The interviews and experiments form a basis for suggesting better ways to utilize current digital fabrication methods in design and for proposing future methods better suited for the architectural design process.
Influence of Advertising Effectiveness on Consumer Purchase Decisions in Wardah Medan Instagram social media Cosmetic Advertising
Authors: Dewi Sylvani , Winata Felicia , Romy Elly , Goslim Kiki , Wenny Wenny
Published: November 2023

This study aims to identify the effectiveness of wardah advertisements through Instagram social media on active @wardahbeauty followers on Instagram. Consumers who use social media Instagram @wardah beauty are active with a total of 92 followers. The data analysis technique used in this study is a validity test, reliability using SPP version 20.0 Based on the results of the study, the validity and reliability test of the questionnaire for each statement item was declared valid and the results obtained were that the independent variable, namely advertising effectiveness (X) had a positive and significant influence on the dependent variable, namely purchase decision (Y), this is indicated by the tcount value = 5.603 and ttable = 2.01537 then tcount > ttable, so Ho is rejected and Ha is accepted. Based on simple linear regression calculations, the regression equation Y = 25.982 + 0.531X + e means that every time there is an increase in the purchasing decision variable by 0.531, it will affect the effectiveness of advertising. The coefficient of determination (R2) is 0.416 (41.6%). So it can be said that 41.6% of the dependent variable, namely advertising effectiveness in this study, can explain purchasing decisions while the remaining 58.4% is influenced by other variables outside the variables studied.