Academic Circles Research Articles

Analysis of State-of-Health Estimation Approaches and Constraints for Lithium-Ion Batteries in Electric Vehicles

Energy storage systems (ESS) are seeing rapid market growth due to the changing worldwide landscape of electricity distribution and consumption. An ESS must possess the capability to oversee the functioning of the system’s modules under abnormal circumstances, while also having the ability to supervise, manage, and optimize the performance of one or more battery modules. At present, the condition of batteries is assessed based on two factors: the level of charge (SOC) and the overall condition (SOH). By using these two characteristics, it becomes feasible to compute the anticipated battery lifespan and evaluate a battery’s efficiency. The assessment of SOH is a crucial determinant in guaranteeing the effectiveness, dependability, and security of batteries in electric vehicles (EVs). Nevertheless, the safety issues resulting from the imprecise estimation and forecasting of battery health status have garnered significant attention in academic circles. This study presents a comprehensive evaluation of several SOH monitoring techniques. In order to achieve this objective, various scientific and technical literatures are examined and the corresponding methodologies are categorized into distinct groupings. The groupings are categorized based on the manner in which the procedure is executed: methods and techniques used in experiments and models. This paper provides a comprehensive overview of the benefits and drawbacks of several SOH assessment and prediction techniques, along with the associated obstacles in SOH estimation.

Diabolical devil’s advocates and the weaponization of illocutionary force

Abstract A standing presumption in the literature is that devil’s advocacy is an inherently beneficial argumentative move; and that those who take on this role in conversation are paradigms of argumentative virtue. Outside academic circles, however, devil’s advocacy has acquired something of a notorious reputation: real-world conversations are rife with self-proclaimed devil’s advocates who are anything but virtuous. Motivated by this observation, in this paper we offer the first in-depth exploration of non-ideal devil’s advocacy. We draw on recent analyses of two better known discursive practices—mansplaining and trolling—to illuminate some of the signature traits of vicious devil’s advocacy. Building on this comparative examination, we show that all three practices trade on a manipulation of illocutionary force; and we evaluate their respective options for securing plausible deniability.

The Classroom Reimagined: Setting the Tone, Artificial Intelligence and Icebreaker Strategies

There’s no denying it - in academia, the first week of class is an imperative time for professors and students alike. In academic circles, the topic of student buy-in to encourage active learning often dominates discourse. Through careful planning and course delivery, educators set the tone during the first week of class and create lasting impressions which can enrich the educational experience for students. This time also affords students the opportunity to settle in, become acquainted with their professor and classmates, and begin to plan for the rest of the semester. This article explores the topic of setting the tone for course delivery and the use of artificial intelligence (AI) in the classroom. Pedagogical recommendations for the first week of class and the use of AI are offered. AI-enhanced icebreakers are also discussed as instructional strategies for course planning and delivery.

A bibliometric review on research progress, interest evolution and future trend in the field of recycled concrete by using CiteSpace (2004–2023)

The popularization of recycled concrete (RC) is an important way to achieve efficient resource utilization of construction solid waste (CSW), which can coordinate the sustainable economic development with environmental protection. In this paper, CiteSpace software is used to quantitatively analyze the literatures on RC field, identifying its research hotspots and recent developments. Based on the Web of Science database, we screened published literatures in the field of RC from 2004 to 2023, and obtained 2011 articles. CiteSpace software and knowledge graph technology are adopted to visually analyze the literature information, including the collaborators, keywords and citation status. The results show that, Xiao JZ from Tongji University, Poon CS from Hong Kong Polytechnic University and Tam VWY from University of Western Sydney publish a large number of articles and are frequently cited. It indicates that their researches are widely recognized in academic circles. There is a research team with a large size formed in the Chinese mainland, and the core members include Xiao JZ, Li WG, Chen ZP. At present, the research interest gradually shifts from recycled coarse aggregate to recycled fine aggregate, mainly focusing on microscale research of pore structure and interfacial transition zone. In addition, 8 co-citation clusters of selected references and the potential development trends are detailly analyzed. This study is helpful for researchers to fully understand the current hotspots and future research trends in the field of RC.

Research on the Relationship between Equity Incentive and Enterprise Performance Based on Propensity Score Matching

In corporate governance, the separation of ownership and management rights has always been a difficult problem for enterprises and academic circles. The introduction of equity incentive plan has alleviated the separation of the two rights to a certain extent. Ordinary OLS regression is difficult to overcome the influence of endogeneity. Therefore, the companies selected in this paper are Shanghai and Shenzhen A-share listed companies in China, and their financial data from 2010 to 2022 are selected for research, uses propensity score matching method to divide the samples into incentive group and control group, and conducts co-support test and balance test on the samples, so as to study the relationship between equity incentive and enterprise performance. Linear regression method is used to analyze the effect of government subsidies on firm performance. It is found that the implementation of equity incentive can improve the performance level of enterprises. Through the role of government subsidies, the influence of equity incentive on the performance level of enterprises will be enhanced.

Mapping coexisting hotspots of multidimensional food market (in)accessibility and climate vulnerability

With the increasing likelihood of agricultural production failures under a warmer global climate, the importance of markets in providing access to nutrient-dense foods (NDFs) through trade is predicted to grow. However, regions with relatively poor access to markets and supporting infrastructures (e.g. roads and storage facilities) are potentially ill-equipped to deal with both short-term hydrometeorological hazards such as droughts and floods, and longer-term shifts in agricultural productivity. Despite the increasing focus upon markets within academic and policymaking circles, a regional-scale assessment of these potentially coexisting hotspots of vulnerability has not been conducted. We conduct a two-stage geospatial analysis integrating three publicly available datasets across the Indian states of Bihar, Chhattisgarh, Jharkhand, and Odisha. Combining the 2011 national census with the new PMGSY-GeoSadak database, we conduct nearest neighbour analysis to measure multidimensional market inaccessibility by: (i) distance from a settlement to its nearest village, town or city with a market, (ii) distance from a settlement to its nearest major road, and (iii) distance from a settlement to its subdistrict headquarters. We then correlate these measures with India’s only district-wise assessment of climate vulnerability to identify hotspots of market inaccessibility and climate hazards. We find that the three market access measures are spatially autocorrelated and positively interrelated at the settlement (n = 129 555) and district (n = 107) levels, meaning that settlements located further from their nearest market tend to experience poorer road connectivity and access to the subdistrict economic hub. Approximately 18.5-million people live in districts with relatively high climate vulnerability and relatively high and multidimensional market inaccessibility. Hotspots of coexisting vulnerabilities are also disproportionately populated by ‘Schedule Castes and Schedule Tribes’ (SC/ST) communities. The identification of coexisting hotspots has important implications for the development of equitable and resilient markets that bolster NDF access for climate vulnerable and nutritionally insecure populations.

A «social media» or a «social network»: what does the sociologist mean

The increased number of works devoted to sociological research on the World Wide Web has actualized the terminological problem, which is characteristic of all new and gaining popularity in academic circles concepts. The purpose of this article is to clarify the concept of "social network" and distinguish it from other terms with similar connotations: social network as a structure, "social network service" as a medium for forming virtual connections and "social media" as a synonym for the latter phrase. However, their unconditional semantic relationship will be studied: the social network in the sense of an Internet resource and a service is part of social media, and social networks as a set of relations between social actors are certainly present in the digital space and in web applications. For this purpose, methods of comparative and bibliographic analysis, as well as secondary data analysis, were applied. The features of the social space formed by computer technologies impose special characteristics on virtual social connections, therefore it is necessary to clarify the environment in which they are distributed, and in this case the use of the term "social network" is not completely accurate. In addition, it was found that there is a "terminological trend", and the concept of "social media" is currently more dominant in English–language sources, since it is more general and takes into account current technological changes in resources.

Stock Market Prediction and Visualisation

Abstract: Stock price forecasting is a widely discussed and significant topic in both financial and academic circles. The stock market is inherently unpredictable, lacking clear rules for estimating or predicting share prices. Various methods, including technical analysis, fundamental analysis, time series analysis, and statistical analysis, have been employed to forecast stock prices. However, none of these methods consistently serve as reliable prediction tools. In this paper, we explore the implementation, prediction, and analysis of stock market prices. Artificial Neural Networks and Machine Learning prove effective for forecasting stock prices, returns, and modeling stock behavior. By conducting statistical analyses, we establish relationships between selected factors and share prices, contributing to more accurate predictions. While the stock market remains inherently uncertain, this paper aims to apply data analysis and prediction concepts to forecast stock prices. In the era of global digitization, stock market prediction has undergone significant technological advancements, transforming traditional trading models. As market capitalization continues to rise, stock trading becomes a focal point for financial investors. Analysts and researchers have developed tools and techniques to predict stock price movements, aiding decision-making. Advanced models leverage non-traditional textual data from social platforms for market prediction. Machine learning approaches, including text data analytics and ensemble methods, have significantly improved prediction accuracy. However, analyzing and predicting stock markets remains challenging due to dynamic, erratic, and chaotic data. This study explores machine learning-based approaches for stock market prediction, emphasizing a generic framework. By critically analyzing findings from the last decade (2011–2021) from digital libraries like ACM and Scopus, we provide insights for emerging researchers to delve into this promising area.

中国“东亚文化之都”建设与发展研究

After more than a decade of exploration and practice, China has developed into the country with the highest number of “East Asian Capital of Culture,” not only establishing an operational model of “government-led, socially participated, internally and externally integrated, and co-constructed sharing” but also evolving and maturing its selection mechanism and innovating international cultural exchange activities. Furthermore, its value in promoting urban cultural empowerment, exchange and mutual learning among Asian civilizations, and the excavation and dissemination of East Asian culture has become increasingly prominent, making it a focal point in the fields of culture, tourism, and urban construction. However, systematic or thematic studies on this topic are rare in academic circles. In light of this, this paper conducts a systematic analysis of the environment and the evolution of the selection mechanism for the construction and development of China's “East Asian Capital of Culture.” It reveals the development trajectory, characteristics, and the successful experiences and areas for improvement of China's “East Asian Capital of Culture” selection and development model. Furthermore, it proposes targeted development strategies and suggestions, providing a reference for the construction and cultural dissemination of other countries' culture capitals.

从中国文化视角看日本文学经典《源氏物语》

“Genji Monogatari” is a famous literary work in Japanese history. It is known as the “peak of Japanese literature” and is generally recognized by academic circles as the world's first full-length novel. But at the same time, because the author Murasaki Shikibu has a profound knowledge of Chinese culture, the shadow of Chinese elements can be seen everywhere in the work. This book is very similar to the legends and Bianwen of the Tang Dynasty in my country, but the article is correct and elegant, and the prose is full of charm. In addition, he quotes a large number of historical facts from Han Dynasty poetry and Chinese classical books, and the author cleverly hides them in moving storylines, giving this book a strong flavor of Chinese classical literature. This article aims to analyze the Chinese elements reflected in “Genji Monogatari” and compare its spiritual connotation with the spiritual connotation of Chinese culture. Using “Genji Monogatari” as a literary representative reflected in Japanese culture, it explores the differences between Chinese culture and Japanese culture and the outstanding manifestations of cultural exchanges between China and Japan. It has deepened our understanding of cultural exchanges between China and Japan, and jointly promoted cultural development and literary creation through mutual learning, learning from each other's strengths, and our own innovation.

Enhancing aspect-based sentiment analysis with BERT-driven context generation and quality filtering

Fine-grained sentiment analysis, commonly referred to as aspect-based sentiment analysis (ABSA), has garnered substantial attention in both academic and industrial circles. ABSA focuses on unveiling the sentiment orientation associated with specific entities or attributes within textual data, resulting in a more precise depiction of intricate emotional nuances. However, due to the extensive range of applications for ABSA, certain domains face challenges such as constrained dataset sizes and the absence of exhaustive, high-quality corpora, leading to issues like few-shot learning and resource scarcity scenarios. To address the issue of limited training dataset sizes, one viable approach involves the utilization of text-based context generation to expand the dataset. In this study, we amalgamate Bert-based text generation with text filtering algorithms to formulate our model. Our model fully leverages contextual information using the Bert model, with a particular emphasis on the interrelationships between sentences. This approach effectively integrates the relationships between sentences and labels, resulting in the creation of an initial data augmentation corpus. Subsequently, filtering algorithms have been devised to enhance the quality of the initial augmentation corpus by eliminating low-quality generated data, ultimately yielding the final text-enhanced dataset. Experimental findings on the Semeval-2014 Laptop and Restaurant datasets demonstrate that the enhanced dataset enhances text quality and markedly boosts the performance of models for aspect-level sentiment classification.

중일(中日) 근대문예론의 형성과 그 이동(異同)에 관한 소고(小考)

This paper attempts to compare the literary theory of Tsubouchi Shoyo(坪內逍遙), which was developed from the 'arts-the arts' examined throughout Wang Guowei's(王國維) literary theory, and Wang Guei's literary theory, which was established as the early modern Japanese literary theory. As Tsubouchi Shoyo's first statement, 'Novels are art(美術)' in 『Shosetsu Shinzui(小說神髓)』 opened the chapter of modern Japanese literary theory, this paper aims to explore Wang Guowei's literary theories in relation to the formation of modern literary theory in China. Therefore, in the case of the formation of Japanese modern art theory, Tsubouchi Shoyo's use of Western literary theory and logic in his own way within the magnetic field of pragmatic thought and literary dance theory that spread throughout Japanese society in the 1880s, while building a literary theory that incorporated the discourse of the Japanese art world at the time, was used as a guide to examine the formation of Chinese modern art theory and Wang Guowei's literary theory treatise. This was further utilized to examine the shifts in the theses that were common to their literary theories. In fact, the formation environment of Sino-Japanese modern literary theory was different in terms of its reception and paragraph situation according to the way the two countries experienced modern East Asia, but there are also similar points. It is also true that Wang Guowei's and Tsubouchi Shoyo's views and arguments on the literary arts developed in very different ways after they published their literary theory works and related papers, depending on their respective life trajectories and the circumstances of their respective countries. Nevertheless, neither Tsubouchi Shoyo nor Wang Guowei built a separate literary theory that completely excluded the dominant discourse in the academic and literary circles of their time. Rather, Wang Guowei, who studied a wide range of disciplines, including mathematics and natural sciences, could be said to have been more attuned to and thought about the axioms of modern China's time and built his literary theories in response to them.

Irregular Migration from Türkiye to The United States

The United States’ southern border has been witnessing a record increase in illegal entrance of Turkish citizens. According to the data provided by the United States border patrol, during the 2023 fiscal year, 15.542 Turkish citizens entered the country illegally through the United States-Mexican border. This number was under 100 per year over the last decade. Although it has not gotten much attention in media and academic circles, the rate of the increase in the number of Turkish citizens entering the United States illegally is alarming. While the main reasons of the high numbers of people migrating from Erdogan’s Türkiye include general insatiateness regarding economic and political problems, substandard working conditions and underdeveloped fundamental human rights protection system United States’ prestigious image in the world, strong economy and promising future can be counted among the main reasons that migrants prefer it as destination country. The surprising rise of Turkish citizens choosing Mexico as a transit country to enter the States is attributed to the transnational criminal organizations’ connections to Türkiye. The dire circumstances Turkish people experience and their endeavor to find a way to “get out of Türkiye” plays into the hands of cartels. The article points out this multilateral phenomenon and sets forth the push and pull factors, elaborating the involvement of transnational criminal organizations in Mexico.

Index Insurance for Forage, Pasture, and Rangeland: A Review of Developed (USA and Canada) and Developing (Kenya and Ethiopia) Countries

Index insurance for forage, pasture, and rangeland has gained ground in policy and academic circles. Stakeholders promote it as an innovative risk management tool for enhancing resilience to drought-induced perils and providing a way for consumption smoothing to livestock producers in drought vulnerable ecosystems. Index insurance, which avoids market failures such as moral hazard, adverse selection, and transactional cost, has been piloted and implemented all over the world. To support future development and research on index-based insurance in livestock systems, operational index insurance for forage, pasture, and rangeland systems in developed (USA and Canada) and developing (Kenya and Ethiopia) countries are reviewed and compared. This paper finds some similar characteristics (huge subsidy payments—ranging from 50 to 100 percent, significant government role, low adoption, insufficient payouts, data challenges, etc.), of this product between the two regions. A major difference between the PRF and NDVI is the number of choices available to users of rainfall index insurance who face close to 3000 choice options, while NDVI users have less than 5 choice options available for them. Based on these insights, we highlight opportunities where the two regions can benchmark and improve upon their respective index insurance schemes—index-based livestock insurance (IBLI) in developing and rainfall index insurance for forage in developed regions.

Scrutinizing Business Development Research: Dynamic Retrospective Analysis and Conceptual Evolution

While prevalent in enterprise practice, business development (BD) activities have garnered limited attention within academic circles, leading to a noticeable dearth of discussions regarding their comprehensive understanding and the contemporary research landscape. Previous research has underscored the pivotal role and importance of business development activities in generating new growth opportunities and enhancing dynamic capabilities for enterprises. This article seeks to bridge this academic gap by synthesizing six decades of research literature on enterprise business development activities and tracing the progression of its research trajectory to uncover its complete narrative. Its contributions are manifold: firstly, we intensified the foundational elements of business development research by conducting a meticulous examination of various perspectives and providing insights into former ambiguities surrounding crucial aspects; secondly, it elucidates how contextual factors influence the emergence and evolution of enterprises’ business development activities, highlighting its research significance across different eras; thirdly, it conducts a comprehensive exploration of various research streams within business development and their nuanced interactions across key dimensions. Through these endeavors, this study aims to enrich academic discourse in the domain of business development, establishing a robust academic foundation for subsequent research.

Which reading comprehension is better? A meta-analysis of the effect of paper versus digital reading in recent 20 years

The development of digital technology has changed the audience's reading behavior and reading habits, and the difference between digital reading and paper reading has become a research hot spot. However, the academic circle has not reached an agreement on the reading effect of digital reading and paper reading. This study included 37 experimental studies for meta-analysis and analyzed the influence of moderating variables such as audience characteristics, text characteristics, and reading conditions. This study deepens the understanding of the reading effect and provides a reference for improving it. The study shows no significant difference in overall reading comprehension between digital reading and paper reading, and there are differences under moderating variables. The study has revealed that digital reading and paper reading have advantages and disadvantages and complement each other. The publishing industry should develop corresponding knowledge service products based on the characteristics of reading effects to promote the healthy development of the reading industry.

A Review and Prospect of Corporate Text Information Tone Management

With the development of society and technological progress, on the one hand, the academic and practical circles are paying more attention to the text information such as the non-financial report of enterprises. On the other hand, the progress of computer technology has made it possible to obtain and quantify text information. Tone is one of the important characteristics of text information, which refers to the positive or negative emotional tendencies while disclosing text information. Enterprises manipulate text messages for profit through tone management, which has certain economic consequences. This paper systematically reviews the acquisition and measurement methods of text information tone, and reviews the existing literature on the influence factors and economic consequences of tone management, so as to provide direction and reference for future research on text information and tone management.

Transformer-based lithium battery fault diagnosis research for electric vehicles

With the fast advances of new energy vehicles, the EV battery technology needs to be further improved to follow the step. How to effectively diagnose the electric vehicle’s lithium battery fault becomes a hotspot in the academic circle. This study has proposed new method that uses the state of charge of the battery and self-coder depth to detect faults in the lithium battery group of electric vehicles. First, the study investigates the single lithium battery faults. Then, it builds a lithium battery group fault diagnosis model by integrating the battery charge state and denoising converter network. Finally, it uses a dataset and retired battery group to validate the model’s performance. The results show that the proposed model achieves an accuracy of 93.18% and a recall rate of 93.73% in identifying the faults in the lithium batteries of the electric vehicles and its F1 value is as high as 0.95. Moreover, the modeling method has the lowest prediction error, indicating its high accuracy and robustness in diagnosing the faults of battery packs. This study aims to provide an effective solution for the fault diagnosis of lithium battery packs in electric vehicles.

Позиция администрации Д. Байдена в реализации стратегии развития американо-китайских отношений

The Biden administration’s concepts and perceptions of China policy, as well as its future attitude and stance toward the development of Sino-US relations, will have a direct impact on the dynamics and development process of Sino-US relations. This article aims to discover the main provisions of the D. Biden administration’s strategy implemented in the relations between Washington and Beijing. The sentiments in the American society characterizing the peculiarities of interaction between the two countries are considered; the discussion of strategic priorities of American politicians of different ideological commitment is noted. From the perspective of the current domestic political environment, China’s strategic positioning, the strategic construction of Sino-US relations, and the prediction of the future of Sino-US relations are the subject of endless debates in political, academic, and strategic circles. The Biden administration’s understanding and perception of China is in a state of flux, and its attitude and position on some issues of Sino-US relations also give the impression of uncertainty. The extent to which these issues affect Sino-US relations, as well as how China and the US should rationally understand and deal with these issues, require strategic reflection and study.

The influence of teacher-student relationship on innovative behavior of graduate student: The role of proactive personality and creative self-efficacy

Based on social cognitive theory, the current study builds and verifies a mediated moderation model to explore the influence of teacher-student relationship on innovative behavior of graduate students. The mediating role of creative self-efficacy and the moderating role of proactive personality are also discussed. Sample data for the current study were collected from 367 graduate students and their immediate supervisors at three different times. The empirical test results demonstrate that the teacher-student relationship has a positive impact on graduate students’ innovative behavior. Besides, creative self-efficacy of graduate students exerts a mediating role in the influence of teacher-student relationship on their innovative behavior. In addition, proactive personality of graduate students positively moderates the effect of teacher-student relationship on their creative self-efficacy, which in turn impacts their innovative behaviors. Specifically, the teacher-student relationship could make graduate students with high proactive personality have higher creative self-efficacy level than those with low proactive personality, and finally generate more innovative behavior. Taken together, the findings of the current study offer the academic circle a new perspective to explain how and why teacher-student relationship correlates with students’ innovative behavior. This may also provide specific insights for enhancing the innovative behavior of graduate students in practice.