bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyses dispositives en Sciences de l’information et de la communication : le cas de la culture informationnelle
Authors: Kovacs Susan
Published: February 2024

L’objectif de cette contribution est de cerner la façon dont la notion de dispositif est convoquée dans le domaine des travaux sur « la culture informationnelle » en Sciences de l’information et de la communication. En prenant appui sur des travaux de recherche menés depuis plusieurs années dans ce champ, nous nous interrogerons sur la pertinence et l’intérêt d’un regard porté sur la façon dont des ensembles identifiés d’énoncés, d’objets, d’espaces et d’interactions organisent des dispositions et configurent des subjectivités informationnelles. Dans la lignée de Foucault, cette analyse est inspirée d’une part par les propositions qui préconisent une démarche dispositive de « critique affirmative » et d’autre part, par des travaux dans la mouvance de la théorie critique du document qui insistent sur l’apport d’une approche sensible des matérialités documentaires, de leurs agencements et de leurs intensités.
Une approche dispositive de la médiation des savoirs en contexte culturel
Authors: El Hachani Mabrouka
Published: February 2024

Cet article propose d’interroger la place et le rôle du dispositif dans des formes de médiation renouvelées en tant que modes de circulation des savoirs et dans un cadre épistémologique liant information et communication. Le présent travail a pour visée de montrer la complexité des dispositifs dans le cadre de la médiation de savoirs informels en bibliothèque de lecture publique à partir d’une analyse de publications produites en lien avec des projets. Cette réflexion interroge ainsi les modes de valorisation et de circulation des savoirs.
Accompagnement financier asymétrique et étriqué des entreprises par les banques de la zone CEMAC
Authors: Mbama Pierre Claude
Published: February 2024

L’objectif de cet article est de comprendre comment l’asymétrie d’information contribue à l’accompagnement financier étriqué des entreprises dans la Communauté économique et monétaire de l’Afrique centrale (CEMAC). À travers l’exploration des résultats d’enquêtes auprès des banques camerounaises et des rapports de la Commission Bancaire de l’Afrique Centrale (COBAC), il a été déterminé que l’asymétrie d’information conduit à l’opportunisme entre partenaires et est intensifiée par l’incompétence relationnelle et transversale des dirigeants de l’entreprise, entraînant ainsi une réduction de l’aide financière aux entreprises dans l’ensemble de la zone CEMAC. Afin de diluer cette asymétrie informationnelle et cultiver la confiance entre les deux parties, l’entreprise et la banque devraient donner la priorité aux intérêts mutuels plutôt qu’à leurs intérêts individuels. En outre, l’entreprise doit s’attacher à doter ses dirigeants de compétences transversales, tandis que la banque doit approfondir ses recherches sur les aspects psychologiques des dirigeants de l’entreprise avant toute relation financière.
L’interaction public-privé dans le Grand Paris et le Grand Londres au prisme des écosystèmes de promotion économique
Authors: Dequeker Édouard
Published: February 2024

La littérature sur la gouvernance urbaine a encore peu contribué à expliquer en partie les trajectoires différenciées entre villes. Se focalisant sur le cas de Paris et de Londres durant la troisième révolution industrielle, cet article met en lumière l’existence pour ces deux villes de deux systèmes très inégaux d’interrelations public-privé – fortes à Londres, faibles à Paris – et d’une inégale capacité à moyen terme à produire des décisions stratégiques coordonnées à l’échelle métropolitaine. Il illustre ces deux réalités par la comparaison des écosystèmes de promotion économique, faisant l’hypothèse que la gouvernance économique des villes, en tant que système d’interactions fluides et permanentes entre acteurs économiques et puissance publique, joue un rôle catalyseur de la dynamique des villes, par sa fonction de diminution des coûts de transaction.
De la responsabilité sociale à la responsabilité territoriale. Vers une approche locale de la contribution des entreprises au bien commun
Authors: Tardivel Émilie
Published: February 2024

Depuis quelques années, la responsabilité territoriale de l’entreprise (RTE) fait l’objet en France d’une réflexion théorique et pratique ayant donné lieu à différents rapports. En nous appuyant sur trois d’entre eux, issus d’une association, d’une grande école de gestion et d’un service gouvernemental (ORÉE, 2017 ; ESSEC, 2018 ; France Stratégie, 2018), le but de cet article est de montrer qu’il est aujourd’hui nécessaire de poursuivre cette réflexion après la loi PACTE (2019), en repensant l’enjeu de la responsabilité territoriale de l’entreprise à partir d’une perspective critique sur les limites de la responsabilité sociale de l’entreprise (RSE) et d’une définition opératoire du bien commun.
Las reliquias de Benedicto XIII (1342-1423) y Clemente VIII (1369-1447), dos papas aragoneses
Authors: Calvo Asensio Juan Carlos
Published: February 2024

Dos memoriales conservados en el Archivo Histórico Provincial de Teruel contienen el inventario de las reliquias que pertenecieron a los papas aragoneses en la obediencia de Aviñón, Benedicto XIII y Clemente VIII. Cuando este último personaje falleció, el lote pasó a manos de su familia, los Sánchez Muñoz, un linaje poderoso establecido en la ciudad de Teruel. En este artículo se analizan estos restos santos, algunos con importante valor espiritual en el mundo cristiano, y se traza un recorrido histórico del uso que les dieron sus propietarios según los intereses cambiantes a lo largo de los siglos.
Complexity of Linguistic Structures, Simplicity of Language Mechanisms
Authors: Rizzi Luigi
Published: February 2024

For over sixty years, researchers from across the world have been collaborating in a vast endeavour within what is known as “generative linguistics”, to describe human languages. The founding question of this research is related to the unlimited nature of linguistic possibilities. It has led to the formulation of hypotheses on linguistic combinatorics, its invariant core, and the mechanisms of variation across languages, and to the production of a precise mapping of the structures under study. Although complex, these structures can be reduced to the recursive application of extremely simple mechanisms, which are studied in the Minimalist Programme. This area of research also draws on the illuminating research on language acquisition carried out in an interdisciplinary cognitive science framework.
Preparing Elementary Pre-Service Teachers to Be Effective STEM Teachers
Authors: Ceglie Robert John
Published: February 2024

Nelson Mandela (1990) stated “[e]ducation is the most powerful weapon which you can use to change the world.” This has never been truer as we live in a world in need of strong teachers. We live in a world that underappreciates teachers and their role in educating the next generation often goes unnoticed. Teaching children to become literate in math and science is a concern as these disciplines can lead to increased employment opportunities, higher pay, and a higher quality of life. Having a scientifically literate citizenship is critical to fostering innovation, improving the quality of life, and solving crises such as pandemics and climate change. Unfortunately, interest and motivation in STEM disciplines often decline after early grades which illustrates the important role that these teachers have in math and science education. This chapter combines research-based practices and activities that the author has used to promote STEM learning in preservice teachers. It combines these with narratives from former students who add evidence for their value.
Inclusion in CLIL Project Work in Year 1 of Primary Education With Students Belonging to Ethnic Minorities (Romani)
Authors: Martinez Angela Alvarez-Cofiño
Published: February 2024

Current trends in bilingual schools of changing from bilingual sections (where only part of the students followed the bilingual programmes) into whole bilingual tiers make it necessary to reflect deeply on how administration stakeholders and teachers are approaching inclusion and differentiation in the bilingual primary classrooms. In the past, this was not an issue, as most specific educative needs (SEN) students did not follow bilingual tears as both some teachers and parents, too, thought that learning content in a different language from the mother tongue could hinder their learning process in schools. This chapter presents insights from classroom practice carried out with an important group of students belonging to an ethnic minority and in social risk. Different ideas on how inclusion and differentiation can be approached will be presented.
The Lebanese Banking Crisis
Authors: Shahrour Mohamad H. , Awad Antoine B.
Published: February 2024

This chapter traces the origins of the sector's prominence, shedding light on the factors that contributed to Lebanon's reputation as a regional financial center. It also examines the vulnerabilities that were disregarded during the period of expansion, establishing the foundation for future obstacles. Moreover, this chapter analyzes the sequence of economic and financial vulnerabilities that accumulated over time. The authors scrutinize the pivotal role that public debt played in exacerbating the crisis, investigating how unsustainable fiscal policies, currency pegs, and a lack of diversification made the economy susceptible to shocks. Lastly, the authors propose a roadmap for a set of measures that could mitigate the profound impact of the crisis and facilitate the recovery of the economy.
Policy Transformation in the Indonesian Central Bank
Authors: Al Arif Mohammad Nur Rianto
Published: February 2024

The achievement of Bank Indonesia's vision, namely, to become the leading digital central bank that makes a real contribution to the national economy and is the best among emerging market countries for advanced Indonesia, is supported by the implementation of Bank Indonesia's comprehensive transformation. The transformation carried out is Bank Indonesia's response to facing various future challenges that could affect the achievement of its vision and mission. Bank Indonesia's policy transformation was carried out through strengthening the policy mix in order to carry out the mandate of the Law to maintain the stability of the value of the Rupiah (inflation and exchange rate), contributing to maintaining financial system stability, as well as encouraging sustainable economic growth, as well as strengthening each area of monetary policy, macroprudential, payment systems and policy support. Institutional transformation is carried out to improve superior performance based on effective, efficient and governance (2EG) performance so that Bank Indonesia's mandate can be carried out credibly.
A Study on Indonesian Securities Companies of Governance and Disclosure
Authors: Usman Bahtiar , Syofyan Syofriza
Published: February 2024

This chapter discusses the sophisticated relationship between individual and institutional dynamics, drawing parallels between their survival instincts and the pursuit of reputation. It emphasizes the role of values, manifested through beliefs, norms, rules, traditions, and habits, in shaping an entity's identity, whether an individual or an institution. The chapter underscores the importance of reputation, defined by qualities such as merit, achievement, integrity, and reliability, and its impact on public perception and esteem. It discusses the pivotal role of transparency in achieving credibility and accountability, highlighting that the lack of transparency can lead to misconceptions and hidden agendas. The narrative extends to the governance framework of Bank Indonesia (BI), analyzing its structure comprising principles, commitment, process, and outcomes. The study critiques the absence of transparency in BI's planning and control framework, despite its acknowledgement in the governance structure. It argues for the necessity of consistent and fair rules, laws, and regulations to maintain order and stability. Through structured decision-making and policy formulation involving key stakeholders, the chapter advocates for transparency in governance to enhance public accountability, ultimately contributing to economic development, social welfare, and environmental protection​​.
Green Revolution in the Banking Sector
Authors: Khan Raza Ali , Ahmed Mirza Faizan , Ahmed Shabbir
Published: February 2024

This chapter aims to highlight the role of the State Bank of Pakistan in promoting the practices of green banking in routine operations. Pakistan has been facing serious environmental issues even though its per capita CO2 emission is lower than global CO2 emissions. The State Bank of Pakistan also issued the Green Banking Guidelines in 2017, intending to transform the country's economy towards a climate-resilient economy. The initiatives of the central bank indicate that implementing the GBG policy is a paradigm shift in the banking industry. The guidelines provide details about the responsibilities, management, and organization for the GBG implementation and construct three main themes environmental risk management, green business facilitation, and own impact reduction. In Pakistan, the central bank makes mandatory commercial banks through GBG, to approve environmental exposure limits for different sectors. The SBP has taken several initiatives to implement the GBG, like it intends to develop a standard framework with the collaboration of international entities.
A Segue From Search to Dialogue
Authors: Dillig Marcella , Böhmer Anselm , Mason Jon , Bolaji Stephen , Isso Illie , Stănescu Mirona Horiana , Sahin Hilal , Kuraner Aslihan
Published: February 2024

For over two decades, educational technologies have been embedded within an approach to inquiry dominated by the “search paradigm.” However, conversational AI presents an opportunity to shift this paradigm towards enhancing learning through dialogue. This study explores ChatGPT's potential in developing pre-service teachers' interaction skills and competencies, focusing on interculturality. Using participatory action research, the key inquiry is: In what ways can GenAI applications such as ChatGPT serve as dialogue partners to train future educators' (intercultural) interaction skills and competencies? The research covers prompt specification, students' experiences with dialogic learning using ChatGPT, and prospects for using LLMs as dialogue partners in pre-service teachers' training. Qualitative analysis shows ChatGPT can stimulate the learning process, especially when perceived as realistic and challenging. These findings suggest new implementations of LLMs in pre-service teacher education and further research into their potential for enhancing dialogue-based skill development.
Empowering Teaching With Prompt Engineering
Authors: Gregory Scott F.
Published: February 2024

This chapter aims to provide a practical guide for using prompt engineering in the educational setting. It will address the necessity of recognizing the reality of change throughout the history of educational practice & its connection to new methods and strategies that prompt engineering presents. Readers will learn how to assist students in generating effective prompts through using an effective prompt engineering model. Readers will then learn how to integrate learning theories with the prompt engineering model to best support student learning. Readers will learn how to connect prompt engineering in classroom teaching with educational standards to create effective learning objectives. The design of higher-level thinking and relevant assessments required by prompt engineering's use in schools, is outlined in detail. This chapter is written for educators, researchers, and students who are interested in learning how prompt engineering could be implemented in the classroom successfully at all levels.
Unlocking the Power of Prompt Engineering
Authors: Jasmine K. S.
Published: February 2024

Prompt engineering holds immense relevance in the present world due to its pivotal role in advancing natural language processing (NLP) technologies and artificial intelligence (AI) applications. Also prompt engineering is instrumental in shaping the present landscape of AI-driven technologies, making them more efficient, accessible, and personalized. As these technologies continue to evolve, prompt engineering will remain a vital area of research and development, ensuring that AI systems effectively meet the diverse and dynamic needs of our society. Also, generative AI can create personalized learning experiences for students by analyzing individual learning styles, preferences, and progress. In this context, the chapter explores the art and science of prompt engineering. Through a collection of case studies and real-world applications, the chapter showcases the versatility of prompt engineering, offering insights into how it enhances machine comprehension, content generation, and problem-solving across domains. Here the case studies are discussed using ChatGPT 3.5 version.
Fintech-Enabled Telemedicine
Authors: Askari Shadi , Ghofrani Alireza , Taherdoost Hamed
Published: February 2024

This chapter examines the transformative collaboration between financial technology (Fintech) and telemedicine, highlighting their combined potential to enhance global healthcare accessibility, affordability, and efficiency. Addressing regulatory, privacy, and ethical considerations, the chapter explores how Fintech contributes to overcoming challenges and proposes secure frameworks for a Fintech-enabled telemedicine ecosystem. It also investigates the role of digital currencies and blockchain in facilitating cross-border healthcare transactions. The chapter concludes with recommendations for policymakers, healthcare professionals, and Fintech innovators to harness this collaboration's full potential, aiming to shape a more accessible and advanced future for global healthcare.
Marketing Information Systems (MkIS) Parts Shortage Challenges in the Aviation Industry
Authors: Lewis Eugene J. , Abejon Danica F.
Published: February 2024

The qualitative focus group research utilizes the theory of constraints and supply chain management (SCM) framework to review over 179 emails discoveries in obsolescence issues surrounding the Chinook/Cargo Helicopter-47 Delta-Model (CH-47 D-Model) helicopter. In the early part of 2010, there were 66 vendors who manufactured long-lead D-Model parts; now, only 13 remain. As foreign military sale (FMS) customers upgrade to more advanced systems, a critical challenge focuses on customer-centric, predictive business models, and smart automation to understand the value of military and defense operations for legacy systems. The researchers utilized participant data from focus group discussions, emails, and written correspondence to develop a comprehensive spotlight into the Chinook/Cargo community within FMS. The purpose is to determine if there is value in servicing country needs for CH-47 D-Model parts. Shortages of critical components and a lack of access to authentic, certified spare parts affect the safety and performance of the helicopters.
Unveiling Key Differentiated Service Dimensions of the Airlines Performances in the COVID-19 Aftermath
Authors: Tansitpong Praowpan
Published: February 2024

The study examines service dimensions provided by each operating flight to explore their impact on airline operational performance. The results suggested that after COVID-19, better quality of responding to requests, service efficiency, check-in processes, and arrival service are crucial operational factors contributing to increased market share. Regression analysis reveals a crucial link between service quality and operational outcomes. Moreover, networks or number of operating countries have positive impacts on load factor. The study reveals the interconnected nature of service quality and operational outcomes, shedding light on how factors such as passenger interactions, efficient airport services, and in-flight service execution collectively impact both market share and load factors in the post-COVID-19 context. This study provides valuable insights into the intricacies of missing gaps in the service of the industry that have a pivotal role in customer experience and shaping operational achievements.
Web 2.0 Technologies in Times of Pandemic COVID-19
Authors: Gavronskaya Yulia , Gura Dmitry , Minakhmetova Albina , Dudnik Olesya
Published: February 2024

This study substantiates the feasibility of implementing Web 2.0 services in practical educational activities and classifies the main types of Web 2.0 services adaptive to educational goals. A survey of 58 teachers from the First Moscow State Medical University, Kuban State Technological University, the Herzen State Pedagogical University of Russia, and Yelabuga Institute of Kazan (Volga Region) Federal University was conducted; their pedagogical experiences interacting with Web 2.0 services were considered in order to provide effective technological support for educational interactions in the context of distance learning in the era of COVID-19. The survey results showed that the most popular Web 2.0 services teachers use in distance learning include social networking services and virtual meeting and conference services. The study confirmed that using Web 2.0 services in educational processes can ensure high-quality digital pedagogy.
Effects of Different Leadership Styles on Cognitive Engagement in Online Collaborative Learning
Authors: Wang Xinhua , Zheng Yue , Wu Lei
Published: February 2024

The collaborative learning approach as a universal teaching strategy is widely used in online learning. It is proven that the group leader has an important impact on group collaborative knowledge construction in online collaborative learning (OCL). However, limited research is available on how leadership styles influence a group universal teaching strategy is widely used in online learning this study, the authors adopted lag sequential analysis, epistemic network analysis, and social network analysis to explore the influence of divergent and convergent leadership styles on cognitive engagement in OCL groups. Compared with convergent leadership, divergent leadership strengthened online collaborative cognitive engagement through significant organizer and manager roles, triggered high-quality cognitive behavior transformation within the group, and promoted the balanced development of learners' cognitive structure.
Open-Ended Mathematics Learning
Authors: Cezarotto Matheus A. , Martinez Pamela N. , Torres Castillo Ruth Constansa , Stanford Theodore , Engledowl Christopher , Degardin Germain , Chamberlin Barbara
Published: February 2024

Mathematical learning has an important role and is often prioritized in education. In K-16 education, algebra is one of the most vital mathematical content domains: it represents one of the top barriers for students pursuing a postsecondary education. Game-based learning has been effective in fostering classroom math learning environments that are collaborative and focused on conceptual understanding. Sandbox games provide open-ended learning environments where players can set their own goals and level of effort. As part of the project “Math Snacks,” the team designed Agrinautica, a sandbox game to enable constructivist-informed early algebra learning. This article identifies design recommendations for creating meaningful sandbox games for learning, considering students' and teachers' needs. Researchers discuss the decisions to create a sandbox game and describe challenges inherent in math learning through sandbox-type gameplay. This study provides impact results from a large-scale study of users of the game, and shares recommendations for developing future sandbox learning games.
An Abnormal External Link Detection Algorithm Based on Multi-Modal Fusion
Authors: Wu Zhiqiang
Published: February 2024

Website link detection is an important means to ensure the security of the external chain. In the past, it was mainly realized through blacklisting and feature engineering-based machine learning, which has the problems of slow detection speed and weak model generalization ability. The development of neural networks has brought a new solution to the security detection of the external chain of the website. To address the performance bottleneck caused by the variable content length of web pages, this article introduces an innovative approach: a website external link security detection algorithm based on multi-modal fusion. It extracts text, dynamic script, and image features separately, and constructs a deep fusion model that combines these multi-modal features. Compared with the previous research results, the proposed method is superior to the traditional single-mode method, and can quickly and accurately identify malicious web pages. The accuracy and F1 value are improved by 2.7% and 0.026.
Image Identification and Error Correction Method for Test Report Based on Deep Reinforcement Learning and IoT Platform in Smart Laboratory
Authors: Li Xiaojun , He PeiDong , Shen WenQi , Liu KeLi , Deng ShuYu , Xiao LI
Published: February 2024

In order to solve the problems that most models are complex, time-consuming, and have difficulty in identifying image errors, an image identification and error correction method of test report based on deep reinforcement learning and the internet of things platform in the smart lab was proposed. Firstly, a smart lab architecture was designed based on the internet of things platform, achieving efficient operation of the laboratory through cloud edge collaboration. Then, the depth separable convolution improved convolutional neural network is used to extract image features, and the features are input into bidirectional recurrent neural networks (BiLSTM) for analysis to complete image recognition. Finally, the ICNN-BiLSTM model is used as the agent of reinforcement learning, and image error correction is completed by identifying the distance between the image and the key points of the reference image. Based on the Python platform, the proposed method was experimentally demonstrated, and the results showed that its average error correction accuracy reached 96.75%, with a processing time of 15.37s.
Performing a Knowledge Audit Within a South African Chemical Manufacturer
Authors: Hechter Daniel , Smuts Hanlie
Published: February 2024

Despite the increased efforts of organisations to implement knowledge management (KM) initiatives, many fail. Performing a knowledge audit before embarking on KM activities increases the probability of success. In this interpretive case study, the authors applied a modified version of the knowledge audit methodology developed by Perez-Soltero et al. to a South African (SA) veterinary medicine, fine chemical, and pharmaceutical manufacturer. The authors engaged members of the organisation in focus group sessions and individual interviews to identify knowledge assets related to core processes within the organisation. They used the data from the focus groups and individual interviews to identify and articulate many of the knowledge assets at the core of the organisation's current success. In addition, the process of conducting a knowledge audit and making the steps explicit while adjusting for context, may inform researchers and practitioners in terms of knowledge audit approach.
Differential Reactions of Urban and Rural Teachers to Blended Learning
Authors: Wang Lin , Omar Muhd Khaizer , Zakaria Noor Syamilah , Zulkifli Nurul Nadwa
Published: February 2024

The COVID-19 pandemic has provided an opportunity for implementing blended learning in Chinese secondary schools. However, teachers have encountered several problems and challenges with the new pedagogical paradigm. Therefore, this study aims to identify the factors influencing the implementation of blended learning in urban and rural secondary schools from the perspective of secondary school teachers and to examine the teachers' different responses to these factors. Interview data were collected from 13 secondary school teachers in Guangdong Province, China. The findings identify seven factors influencing the implementation of blended learning from the teachers' perspective, including blended learning curriculum design, teaching resources, teaching ability, teacher-student interactive behavior, teacher motivation, students' ability, and workload. The distinct differences between urban and rural teachers' responses to the aforementioned influential factors provide a reference for the government and schools to establish a moderating mechanism for blended learning implementation.
Factors Influencing Students' Integration Into English Classrooms in Ecologically Fragile Environments
Authors: Zhang Yali
Published: February 2024

The internet and informatization have brought a great impact on English classrooms in ecologically fragile areas, bringing convenience to the teaching of some colleges and universities, but also negatively affecting some colleges and universities in ecologically fragile areas that still use traditional lecture-style classroom teaching methods. The entire classroom is an ecological environment, and it is necessary to control the appropriate density (the number of students) and the teaching methods of teachers. How to accurately evaluate whether students in ecologically fragile areas integrate into English classrooms? The authors use the linear regression method in the teaching evaluation model and the density-based outlier detection method to clean the abnormal data. Such independence attributes, a correlation analysis method proposed, which judges dependencies and attributes according to the confidence of the rules, and then combines the correlation coefficients between attributes to determine the feature items with strong correlation.
Strategies of Infiltrating Psychological Fitness Education Into Ideological and Political Education
Authors: Yin Ma , Hu Xiangang
Published: February 2024

As the cradle of cultivating talents, universities are facing great opportunities and challenges in their education. Among them, IPE (ideological and political education), as an important foundation for the future growth of university students, is of great significance. This paper discusses the relationship between IPE and psychological fitness education in university teaching. This paper expounds the necessity and feasibility of playing the role of psychological fitness education in IPECU (ideological and political education in colleges and universities). Based on this, this paper gives the strategy of infiltrating psychological fitness education into IPE. This paper combines NN (neural network) method to construct an assessment model of IPE quality. In this paper, MATLAB is used for simulation and comparative analysis. The final experiment shows that the RMSE of this algorithm is 0.512, MAE is 1.089, and the accuracy of the algorithm is 0.958.
Establishment and Practice of Physical Education Evaluation Using Grey Cluster Analysis Under the Data Background
Authors: Jiang Jinxin , Yoo Sang Keon
Published: February 2024

This article uses scientific methods and means to evaluate the value, elements, and processes of physical education, consistent with preset evaluation indicators through sample calculation, and then derives the characteristics of decision-making, the objectivity of indicators, the order, and other characteristics of the process. The authors have analyzed the main problems in current physical-education evaluation and its future reform and development trends under the requirements of quality education.
The Effect of Dance Education on College Students' Artistic Quality Under the New Media
Authors: Song Ruijiang , Liu Sufang
Published: February 2024

Cultivating diversified and high-quality talents is the mode of cultivating talents in higher quality education. Aiming at the effect of the innovation of dance education system, the authors study the change of its influence on college students' artistic accomplishment under the new media form. Firstly, it analyzes the research status of the integration of dance education development and new media education in various countries, and improves the shortcomings of traditional dance teaching. Starting from new media technology, the education process is optimized by means of mobile network, intelligent communication, and wireless sensing. Finally, the regression model is used to test the influence of new media means on the artistic accomplishment and employment trend of college dance education students. The results show that dance education in the context of new media can improve students' artistic literacy and help college students achieve the goal of rapid employment.
E-Waste
Authors: Hsu Jeffrey , Wang John , Stern Mel
Published: February 2024

E-waste is a major global problem linked to the use, and discard of, electronic and electric devices. While the volume of these obsolete devices continues to increase and accumulate, the means and approaches currently used to reuse, dispose of, recycle, and address this continues to vary widely in terms of availability, effectiveness, and value. The issues relating to e-waste management include those emanating from managerial, environmental, labor, and health perspectives. This article aims to present an overview of the key considerations related to the e-waste dilemma, and also proposes issues, challenges, and solutions to addressing the problem. A focus on the factors and variables affecting e-waste management, together with a global framework of e-waste management methods and strategies, are then followed by recommendations and viable areas for future research.
Intelligent Customer Service System Optimization Based on Artificial Intelligence
Authors: Wu Zhong , She Qiping , Zhou Chuan
Published: February 2024

To elevate the intelligence of customer service dialogue systems, this article proposes an intelligent customer service system comprising chat dialogue subsystems, task-oriented multi-turn dialogue subsystems, single-turn dialogue subsystems, and an integration model. Firstly, to enhance diversity of responses and improve user experience, particularly in casual chat scenarios, this article presents a Seq2Seq-based approach for multi-answer responses, allowing for more expressive emotional expression in responses. Secondly, to address situations where customers cannot articulate their needs in a single sentence during multi-turn dialogues, this article designs a task-oriented multi-turn dialogue module. It employs intent recognition and slot filling to maintain contextual information throughout the conversation, aiding customers in problem resolution. Lastly, to overcome the current limitation of intelligent customer service models providing relatively one-dimensional answers in specific domains.
Research on Financial Risk Intelligent Monitoring and Early Warning Model Based on LSTM, Transformer, and Deep Learning
Authors: Song Yunan , Du Huaqing , Piao Tianyu , Shi Hongyu
Published: February 2024

As global financial markets continue to evolve and change, financial risk monitoring and early warning have become increasingly important. However, the complexity and diversity of financial markets have led to the emergence of multidimensional and multimodal data. Traditional risk monitoring methods face difficulties in handling such diverse data and adapting to the monitoring and early warning needs of emerging risk types. To address these issues, this article proposes a financial risk intelligent monitoring and early warning model that integrates deep learning to better cope with uncertainty and risk in the financial market. Firstly, the authors introduce an LSTM model in the initial approach, trained on historical financial market data, to capture long-term dependencies and trends in the data, enabling effective monitoring of financial risk. They also optimize the model architecture to improve its performance and prediction accuracy. Secondly, the authors further introduce a transformer model with self-attention mechanism to better handle sequential data.
A Study on Prototype of End Mill for Ultra-High Pressure Coolant Supplying from Flank Surface Side Using Fluid Simulation
Authors: Mao Jingtian , Usuki Hiroshi , Morigo Chikara , Yukinari Shinji
Published: February 2024

In machining of difficult-to-cut materials, increase of temperature in tool tip is one of the main reasons resulting in short tool life. Heat can promote adhesion wear and diffusion wear at rake face, accelerate thermal plastic deformation. Furthermore, heat could also accelerate flank wear and promote adhesion wear at flank face. As a result, machining precision of tool will become worse. The common method applied to reduce temperature of tool tip is cutting with coolant supply. Conventional coolant supply is only effective to cool down areas around cutting zone with low pressure when cutting speed is low. When higher cutting heat is generated, the fluid can be vaporized to form a high-temperature steam barrier and most of the fluid suppled does not penetrate in the area adjacent to cutting zone. However, high pressure coolant might overcome the disabilities of flood coolant in milling. Present relevant research focused on effect of ultra-high pressure coolant (UHPC) on rake face mainly. In this study, to improve the machining efficiency (processing time) by using end mill, a prototype of end mill with internal coolant nozzles (both rake side and flank side) was designed and CFD (Computational Fluid Dynamics) simulations were conducted to find out the relatively effective coolant supply method for coolant penetrating in cutting zone of flank face mainly. Beyond that, effects of UHPC on rake face were also examined. During the latest experiments, tool wears, cutting length and roughness of work material were measured under both dry and wet cutting conditions. For wet cutting, three kinds of coolant supply method were applied: flank face only, rake face only and both rake face and flank face. For each method, coolant was supplied under the pressure of 3MPa, 7MPa, 14MPa and 20MPa. Tool wear was significantly reduced, and roughness was improved by high pressure coolant supply.
Extramedullary plasmacytoma involving nasal cavity and orbit
Authors: Eranga U. R. R. , Eleperuma D. D. , Kirihene K. D. R. A.
Published: February 2024

Introduction: Extramedullary plasmacytoma (EMP) is a disorder involving plasma cells, leading to the development of neoplastic masses outside the bone marrow. While EMP can occur in different body regions, its predominant manifestation is observed in the head and neck area. A 44-year-old female presented with nasal obstruction, left-sided proptosis, and infraorbital swelling. Rigid nasal endoscopy revealed a polypoidal mass filling both nasal cavities, and imaging showed a uniform density mass lesion involving bilateral sinuses extending into the left orbit. The lesion was resected endoscopically, with subsequent histopathological examination confirming the diagnosis of EMP. Ancillary studies ruled out multiple myeloma (MM). The intraorbital component of the tumour was successfully treated using primary radiotherapy, leveraging the tumours’ inherent radiosensitivity to minimize surgical morbidity.Conclusions: This case underscores the importance of including EMP in the differential diagnosis of sinonasal and other head and neck tumours. The favourable outcome achieved through a combination of surgery and radiotherapy highlights the significance of adopting a multidisciplinary approach in navigating challenging clinical scenarios, ensuring improved patient outcomes.
Study on the Effect of Ginaton on Reducing Cerebral Vasospasm and Early Brain Injury after Hemorrhagic Stroke by Inhibiting Inflammatory Response
Authors: Pang Xue-Bo , Zhang Xiao-Lin , Wang Mei-Rong , Yuan Ying , Zhang Xiao
Published: February 2024

Objective:

The objective of this study was to investigate the effects and possible mechanisms of action of ginseng on cerebral vasospasm and early brain injury (EBI) following hemorrhagic stroke.

Materials and Methods:

Sprague-Dawley (SD) rats (n = 48) were randomly divided into sham operation (sham group), subarachnoid hemorrhage (SAH) model (SAH group), normal saline (NS group), and Ginaton (Extract of Ginkgo Biloba Leaves Drops) intervention (gin group) groups. MCP-1 mRNA and tumor necrosis factor levels were detected using reverse transcription–polymerase chain reaction. The relative expression of mRNA was detected by Western blotting.

Results:

(1) Compared with the sham group, the SAH, NS, and gin groups had different degrees of neurological dysfunction. Compared with the SAH and NS groups, the neurological deficits in the gin group were significantly improved (P < 0.05). (2) Compared with the sham group, the relative expression levels of MCP-1 mRNA in the SAH, NS, and gin groups were 5.1 ± 0.9, 3.4 ± 0.6, and 2.5 ± 0.4, respectively; the relative expression levels of mRNA were 13.3 ± 2.4, 11.2 ± 1.8, and 3.8 ± 0.6, respectively. (3) The apoptosis rates of brain tissue in the sham, SAH, NS, and gin groups were 4.8 ± 0.7, 54.2 ± 10.3, 50.1 ± 7.4, and 28.4 ± 4.5, respectively. (4) Western blot showed that the relative expression levels of toll-like receptor-4 (TLR-4) protein in the sham, SAH, NS, and gin groups were 0.29 ± 0.03, 0.87 ± 0.15, 0.65 ± 0.13, and 0.41 ± 0.17, respectively; the relative expression levels of B protein were 0.21 ± 0.04, 0.96 ± 0.14, 0.73 ± 0.18, and 0.30 ± 0.05, respectively. Gin treatment could inhibit TLR-4 and nuclear factor-κB (NF-κB) protein expression.

Conclusions:

Dona tablets may inhibit activation of the NF-κB signaling pathway, and SAH-induced inflammatory response, so as to reduce cerebral vasospasm and EBI.
Higher prevalence of anti-S and anti-M in South India: A single-center cross-sectional analytical study
Authors: Sriraman P. , Sahoo Dibyajyoti , Basavarajegowda Abhishekh , Toora Esha
Published: February 2024

INTRODUCTION:

Alloimmunization, a dreadful complication of blood transfusion, varies between populations and geographical regions. The antibody prevalence of the South Indian population was studied as the data were scarce. Rh–Kell matching is traditionally followed, but other alloantibodies may have higher prevalence because of geographical variation.

MATERIALS AND METHODS:

It is a retrospective study on alloantibody prevalence in a tertiary care hospital in southern India from April 2021 to March 2023. The frequency, prevalence, and proportion of them are studied.

RESULTS:

Out of 6640 patients, 1128 (16.98%) were Rh D negative. One hundred and thirty-three patients have 155 alloantibodies, among which anti-D is the most common (1.02%), followed by anti-C (0.21%) and S (0.19%), with none having anti-Kell alloantibodies. Here, 1.58% of alloantibodies are formed against Rh and Kell blood group system, whereas 1.94% are against Rh MNS and system.

CONCLUSION:

Anti-M and anti-S are common alloantibodies prevalent in the southern India population besides Rh. The focus should be given to Rh–MNS-matched blood in our population.
Reporting a rare, clinically significant, naturally occurring anti-Cw alloantibody in a whole blood donor: A kingpin in vein-to-vein transfusion chain
Authors: Kaur Daljit , Deb Joyisa , Kumari Dixa , Jain Ashish , Syed Zikra , Negi Gita
Published: February 2024

Anti-Cw (C Willis) is a low-frequency immunoglobulin against red cell antigen Cw in the Rhesus (Rh) blood group system. Anti-Cw can either be naturally occurring or develop as a result of red blood cell sensitization through transfusion or during pregnancy, and is rarely associated with clinically significant hemolytic disease of the fetus and newborn. However, anti-Cw, being a low-frequency antigen, is not always included in the commercial antibody screening panels and also not phenotyped for in-house pooled red cells used for single-cell indirect antiglobulin testing for blood donors in various blood centers. Here, we report a case of a whole blood donor who was identified with an anti-Cw antibody.
Hematological indices among young adults with homozygous sickle cell disease in steady state in southwestern Nigeria: a case–control study
Authors: Asafa Muritala A , Ahmed Ibrahim O , Umar Abubakar S , Bolarinwa Rahman A , Ogunlade Oluwadare
Published: February 2024

Background:

Sickle cell disease is a genetic abnormality involving the haemoglobin synthesis. Although it is a primary red cell disorder, white blood cells (WBC) and platelets are also affected by the mutation.

Aim:

To assess and compare the hematological parameters of homozygous sickle cell disease in a steady state with age-matched and sex-matched hemoglobin AA controls.

Methods:

A total of 150 apparently healthy young adults (18–35 years) participated in this study. They were classified into two groups 88 cases with hemoglobin SS and 62 controls. Venous blood collected into EDTA tubes from participants were used for the full blood count analysis which was done using hematological autoanalyzer (SFRI blood cell counter, H18 light, France). The data were analyzed using descriptive and inferential statistics and the alpha value was set at P value less than 0.05.

Results:

The mean values for white blood cell, mean corpuscular hemoglobin, mean cell volume, red cell distribution width and platelet count were significantly higher in the Hb SS cohort while the packed cell volume and red cell count were significantly lower in the Hb SS cohort.

Conclusions:

homozygous sickle cell disease patients have lower values of hemoglobin concentration, PCV, the red cell indices but higher values of white cell count and platelets compared with hemoglobin phenotype AA controls.
Effects of hemodialysis on hematological indices in Egyptian end-stage kidney disease patients
Authors: Madbouli Norhan N , Sheeba Mahmoud S , Rady Maha A A , Ghareeb Mohammed S
Published: February 2024

Background

Worldwide, chronic kidney disease is a serious health issue. Changes in erythrocyte morphology and function are induced by hemodialysis (HD), which affects the efflux of water over the membrane of erythrocytes.

Objective

This study aimed to demonstrate alterations in red cell indices and hematocrit (HCT) in chronic kidney disease patients receiving maintenance HD.

Patients and methods

The cross-sectional study consisted of 120 known end-stage kidney disease patients receiving maintenance HD at Ain Shams University Hospitals. Complete blood count by automated analyzer were used to compare blood counts before and after HD. Statistical approaches were used to examine the data (paired sample t test).

Results

There was a dramatic increase in HCT in the postdialysis state as opposed to the predialysis state HCT level (P<0.001). The change in HCT level is in a close proximity to and a good correlation with interdialytic weight gain and the duration of HD.

Conclusion

Important alterations in hematological parameters were observed in patients receiving maintenance HD, according to the findings of this study. Some of these changes can be attributed to ultrafiltration during session while others have yet to be explored.