bluuebunny/crossref_metadata_2025 huggingface dataset:
El futuro es hoy: Industria 4.0 y su contribución al desarrollo productivo y social
Authors: González Sigala Julio Alejandro , Domínguez Ríos Víctor Alonso , Arroyo Ávila José René , Alvidrez Diaz Maria del Rosario de Fatima
Published: December 2024

El desarrollo tecnológico que se ha presentado durante principios del siglo XXI ha revolucionado los sistemas industriales y empresariales con la adopción masiva de sistemas inteligentes y automatizados. La convergencia de nuevas tendencias tecnológicas, como el internet de las cosas, big data, robótica e inteligencia artificial ha creado un entorno interconectado, donde las tareas pueden llevarse a cabo de manera autónoma, aumentando la eficiencia y productividad, fenómeno denominado Industria 4.0. A pesar de sus atractivas y prometedoras ventajas, la implementación de la Industria 4.0 también ha dado lugar a implicaciones sustantivas en los ámbitos económico, social y cultural. Algunos temas como la sustitución de trabajadores por máquinas han generado preocupaciones sobre el desempleo y la desigualdad económica. Otro escenario similar surge al hacer cuestionamientos éticos sobre la privacidad de los datos y el uso responsable de la inteligencia artificial en decisiones críticas. Es por ello que, para aprovechar al máximo las ventajas de la Industria 4.0 y minimizar sus desafíos, es esencial realizar un análisis profundo de estas implicaciones y buscar un equilibrio en el que se tomen en cuenta criterios de aprendizaje, viabilidad técnica y conocimiento del medio en el que se pretende poner en práctica dicha tecnología.
DOI: https://doi.org/10.54167/tch.v18i3.1615
A New Dawn for Geriatric Bipolar Disorder: Promising Impact of Endoxifen – A Case Report
Authors: Biswal Jitendriya , Srivastava Himshikha
Published: December 2024

Bipolar disorder (BD) is a complex and debilitating mood disorder that affects a significant portion of the population, including the elderly. This case report briefs the utilization of endoxifen for the treatment of BD in an elderly patient. A 74-year-old male with a history of recurrent manic episodes exhibited symptoms of irritability, over-talkativeness, overspending, and disturbed sleep. After unsuccessful attempts with various medications, including mood stabilizers and antipsychotics, the patient was prescribed endoxifen 4 mg daily, escalating to 8 mg within four days. Over six weeks, a remarkable improvement was observed, evident in a decrease in the Young Mania rating scale (YMRS) score from 32 to 6. Notably, minimal side effects were encountered. This case underscores the potential of endoxifen as a promising therapeutic option for managing bipolar disorder in the elderly. Further research with larger cohorts is warranted to validate these findings and explore their long-term efficacy and safety.
Accelerating research on 3D medical image classification and regression
Authors: Boulogne Luuk
Published: December 2024

his thesis describes the development and evaluation of deep learning approaches for analyzing three-dimensional medical images, with a particular focus on thoracic CT scans. The work emphasizes practical clinical applications while advancing reproducible research practices in medical image analysis, particularly through public datasets, standardized evaluation frameworks, and openly available implementation code. It introduces a method that can estimate global measurements while simultaneously determining regional contributions, demonstrated through applications in COVID-19 severity assessment and pulmonary function testing. The research presents a systematic evaluation of algorithm components for automatic COVID-19 grading from CT. It describes a medical image analysis challenge structure aimed at producing reusable methods that can be trained on private datasets and shows the viability of this challenge structure through a challenge for classifying severe COVID-19 from CT scans. To promote development of more generalizable solutions, a comprehensive database for 3D medical image classification is introduced, featuring standardized data formats and evaluation methods across multiple imaging modalities and anatomical regions.
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Authors: Сыпабекова Макпал
Published: December 2024

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АЗАМАТТАРДЫҢ ТАБЫСТАРЫН, МҮЛІКТЕРІ МЕН ШЫҒЫСТАРЫН ЖАЛПЫҒА БІРДЕЙ САЛЫҚ ДЕКЛАРАЦИЯЛАУ ЖҮЙЕСІНІҢ МОДЕЛІ
Authors: Мауленкулова Гульбана
Published: December 2024

Декларация жүйесі әлемнің көптеген елдерінде бұрыннан дамыған, бірақ ол біркелкі емес және әр елдің декларация жүйесінің өзіндік ерекшеліктері бар. Барлық елдердің декларация жүйелері бір бағытта яғни лауазымды тұлғаларды заңсыз байытудың алдын-алу мақсатында құрылады. Екінші жағынан, кірістер мен шығыстар туралы декларацияларды теориялық тұрғыдан міндетті түрде толтыру мемлекеттік органдардың тазалығының, ашықтығының көрсеткіші, олардың адал іс-әрекеті үшін ынталандыру болып, халықтың әлеуметтік осал топтарына атаулы әлеуметтік қолдауды жүзеге асырудың негізгі факторы болып табылады. Мақалада ҚР азаматтарының табыстарын, мүліктері мен шығыстарын жалпыға бірдей салық декларациялау жүйесі күрделі динамикалық жүйе ретінде қарастырылады. Халықтың табыстарын жариялау жүйесі көлеңкелі экономика деңгейін төмендету және қоғамдағы әлеуметтік әділеттілікке қол жеткізу мақсатында салық салу саласындағы субъектілер арасындағы өзекті қарама қайшылықтарды шешуге көмектесетін құрал ретінде қарастырылған.
Simulation and Flow Field Analysis of Objects in Fluids
Authors: Wu Zirun , Chen Yiran
Published: December 2024

This project mainly focuses on the investigation of the distribution of the streamlines around an object in a fluid like air or water and verifies the effectiveness of the shape of the objects based on the pressure and drag distribution to reduce drag and energy expenditure. This paper uses the simulation of streamlines to simulate the behavior of the streamlines of a certain fluid and analyzed the curvature and density of the streamlines to study the pressure and drag experienced by certain parts of the objects. This study is mainly divided into two parts: rocket and swimmer. The common result is that it is better for an object to be streamline shaped to minimize drag and save more energy.
Analysis of Marketing Strategies for Museum Cultural and Creative Products
Authors: Xu Wanyue
Published: December 2024

With the development of cultural and creative trends and creative industries, domestic museums have launched their own cultural and creative products one after another. However, after defining their cultural and creative products, museums are faced with problems of successfully marketing their developed cultural and creative products by utilizing different marketing approaches. Therefore, this paper uses the 4Ps theory and the method of comparative analysis to analyze the marketing strategy of cultural and creative products in museums. The study also chose the Forbidden City Museum in Beijing and MOMA in New York as case studies to compare and analyze the promotion and marketing strategies of cultural and creative product. Research shows that integration of products and exhibitions can promote consumers' understanding of such products that combine traditional culture and modern ideas, and that consumers are more willing to pay for such products while publicizing them.
Analysis the Structure and Business Model of E-sports
Authors: Tong Yuxuan
Published: December 2024

Due to the advancement and popularization of Internet technology, the gaming industry has become a global competitive activity that continues to grow consistently worldwide. As the industry continues to grow, the size of the market continues to expand, the number of competitors continues to increase, and related career development and employment opportunities continue to grow. After the leapfrog development in recent years, the eSports industry has formed a complete industrial chain. However, under the background of rapid development, there are some problems, including regulation, management, business model, talent cultivation and social recognition. This paper analyzes the e-sports industry by means of literature review and theoretical analysis, and based on its current situation, it proposes to combine ANN technology to solve the problems in the actual operation process, so as to improve the commercial value of the e-sports industry. ANN technology can optimize the cheating problems occurring in athletics, scientifically evaluate and analyze the performance of players, assist in the operation and management of the industry, and provide personalized training.
Research on the Housing Bubble and Monetary Policy
Authors: Wang Zicheng
Published: December 2024

The real estate bubble and the economic problems caused by it are one of the biggest problems affecting the economy at present. However, in the process of national economic regulation, monetary politics is one of the factors affecting and forming the real estate bubble. In addition, there is a relationship between real estate bubble and inflation. This paper discusses and illustrates the relationship between monetary policy and real estate, and the relationship between real estate bubble and inflation from the perspective of monetary policy through the methods of theoretical analysis and case study. The critical role played by monetary policy in shaping the real estate market can be a catalyst for the formation of real estate bubbles in times of low interest rates. While effective monetary policy is a powerful tool to help stabilize inflation and stimulate economic growth, it can also increase economic instability and even trigger financial crises.
What is the Optimal Global Population?
Authors: Yang Anthony
Published: December 2024

The question of what constitutes the optimal global population has long been a topic of debate among scholars. Historically, different perspectives, from Plato's ideal city-state size to modern utilitarian approaches, have sought to define this optimum. While economic theories like average and classical utilitarianism suggest that the optimal population maximizes either individual or societal utility, real-world complexities make it challenging to pinpoint a precise number. Factors such as technological progress, resource consumption, and regional disparities further complicate the determination of an optimal population. This paper explores these challenges, emphasizing that the notion of an optimal population is fluid and highly context-dependent. It argues for a more nuanced approach that considers the interplay of diverse factors, rather than attempting to define a single, static figure.
Measuring the Impact of Digital Transformation on Mitigating Stock Market Crash Risks: A Long-term and Short-term Perspective
Authors: Ren Xiaoxuan , Nie Qian , Chen Changyao
Published: December 2024

Amidst the swift advancements in artificial intelligence and big data, digital transformation has emerged as a cornerstone for enterprises to bolster competitiveness and streamline operational efficiency. Nevertheless, the volatility of financial markets and the specter of stock market crashes impede the vibrant growth of listed firms. This study endeavors to meticulously examine the impact of digital transformation on stock price stability, adopting both short- and long-term perspectives. Initially, pertinent word vectors associated with digital transformation are curated to establish a mining lexicon, which informs the utilization of text mining methodologies to extract insights from listed companies' annual reports spanning 2012 to 2022. Following data synthesis and analysis, a definitive digital transformation index is derived. Key findings reveal that enterprise digital transformation notably dampens stock price collapse risks, with this mitigating effect progressively amplifying over time. Ultimately, integrating theoretical and empirical insights, we offer recommendations tailored to enterprises, governments, and investors.
The Impact of Social Media and the Network Economy on the Stock Market
Authors: Zhan Xianru
Published: December 2024

This paper rigorously examines the influence of social media and the network economy on stock market behavior. The research is structured into four principal sections: it begins by introducing the research backdrop, its significance, methodologies, structural organization, and thought process; it then proceeds to a literature review that scrutinizes the effects of social media sentiments and the network economy on the stock market's fluctuations. The subsequent section outlines the methodological framework and processes employed, which includes the formulation of hypotheses, the selection of sample data, and the construction of models and indicators. In the concluding part, empirical research is used to assess the relationship between social media activity indicators, such as video views and bullet comments, and stock market variations, such as return rates, trading volumes, and volatility. The study uncovers significant impacts of social media sentiments and the network economy on stock market parameters, like price alterations and market capitalization.This paper discusses the impact of social media on stock market trading, particularly its influence on daily return rates and volatility. It highlights how social media sentiments directly affect stock prices, confirmed through case studies and analyzed using linear regression models. The research also includes statistical tests to ensure the stability of the results. The study concludes with policy recommendations and emphasizes the growing importance of social media in shaping stock market dynamics, offering insights for investors to better understand and predict market trends.
A Study on Optimization of Marketing Strategies for Ningxia's Cultural Tourism under the Perspective of Global Tourism
Authors: Sun Quan
Published: December 2024

With the rapid development of tourism in China, global tourism, as a new concept of tourism development, has gradually become a new engine to drive local economic growth. Ningxia, as an essential part of Northwest China, boasts rich natural landscapes and a profound cultural heritage, making it an ideal place for developing global tourism. However, there are still many deficiencies in the marketing strategies of cultural tourism in Ningxia, which urgently need to be optimized to meet the demands of the tourism market in the new era. The present study endeavors to explore avenues for optimizing the marketing strategies of cultural tourism in Ningxia from the perspective of global tourism, and using SWOT analysis aiming to provide theoretical support and practical guidance for the sustainable development of cultural tourism in Ningxia.
Building Competitive Advantage Through ESG Performance: A Case Study of XPeng Motors
Authors: Wang Ruipeng
Published: December 2024

This paper explores how XPeng Motors builds competitive advantage by enhancing its ESG (Environmental, Social, and Governance) performance. In the environmental aspect, XPeng Motors is committed to developing and promoting electric vehicle technology, actively responding to global environmental trends by reducing carbon emissions and improving energy efficiency. In terms of social responsibility, the company focuses on employee welfare, customer experience, and community involvement by providing a positive work environment and career development opportunities. Regarding corporate governance, XPeng Motors has established an efficient, transparent management system and a robust internal control mechanism to ensure compliance and transparency in its operations. By using Li Auto as a comparative sample, this study analyzes the ESG rating gap between the two companies and applies the PDCA (Plan-Do-Check-Act) model to examine strategies for improving the ratings. Finally, recommendations are provided for government, corporations, and investors on enhancing ESG ratings.
A Review of the Impact of Social Media on Consumer Behavior
Authors: Shen Huizhen
Published: December 2024

With the development of Internet technology, social media has gradually become an important part of people's lives, and at the same time, it has also penetrated the consumers. Various brands will use social media such as Douyin to start live broadcasts, and shout slogans in the live broadcast room, or give discounts to push the atmosphere of the live broadcast room to a climax. This form adds another color to online shopping. This study proposes that merchants can use live broadcast marketing methods to change consumers' ideas and have a very large influence. In detail, live broadcasting can reduce customers' rationality and stimulate customers' senses of wanting to consume. When a customer encounters a group of people who are very fond of a product, even if he does not have this idea at first, the herd effect will gradually make him become a part of these people; the discounts in the live broadcast ro om and the atmosphere of the anchor can arouse customers' desire to buy.
Airport Passenger Throughput Prediction Based on Linear Regression
Authors: Fa Shengwei
Published: December 2024

As one of the important industries of in the national economy and social development, civil aviation plays an important role in transportation. Accurate passenger throughput forecasting is also crucial for optimizing airport operations. This study aims to predict the passenger throughput of ZhengDing Airport in Shijiazhuang using the econometric method. Based on the analysis of the influences of GDP per capita, total population and number of flights on passenger throughput, a multiple linear regression model was established. Using the data from 2005 to 2023 as a sample, the significance of each factor to passenger throughput was determined through univariate and multivariate analysis. Considering the problems of multicollinearity and heteroscedasticity in the model, the weighted least square method (WLS) is used to modify the model, and finally, the optimal passenger throughput prediction model is obtained. The model results show that in the 2014 and 2015 forecasts, the error is only -0.10% and 2.09%, respectively, indicating that the model has a high accuracy in short-term forecasts. This study aids in the planning of airport resource allocation and offers a trustworthy forecasting tool for airport management.
The Interrelationship Between Remote Work and Organizational Culture: Implications for Engagement, Productivity, and Leadership
Authors: Zhou Yutong
Published: December 2024

With the growing shift toward remote and hybrid work environments, organizations face the challenge of maintaining strong organizational culture and employee engagement. This study is important because it explores how the unprecedented shift in work arrangements affects key aspects of organizational culture. Specifically, it analyzes the relationship between remote work and culture by examining factors like employee engagement, productivity, and satisfaction using a mixed-methods approach. Seventy full-time employees from various industries across the U.S. participated in the study. The results indicate a moderate decline in engagement and productivity after transitioning to remote work despite high satisfaction levels with flexibility and work-life balance. The results of the survey show that democratic leadership can help mitigate this decline. Productivity can suffer when employees become distracted or lose focus. The study underscores the importance of leaders promoting clear communication, providing customized support according to individual needs, and ensuring employees have the right tools available while working remotely.
Large Language Models: Development in Model Scale and Challenges
Authors: Lu Zhouquan
Published: December 2024

Since the 1950s, language modeling (Language Models, LMs) has been one of the primary approaches for tasks such as machine translation, as well as language understanding and processing. It has been widely applied in the field of natural language processing (Natural Language Processing, NLP), significantly improving the performance of tasks related to natural language understanding and generation. In recent years, large language models (LLMs) have made remarkable advancements in technical architecture and model scale, providing strong technological support for NLP and other fields. This paper presents a comprehensive review of the technological architecture and the development of the scale of large language models (LLMs), and delves deeply into the challenges these developments pose, along with the current strategies to address them. Finally, the paper summarizes and offers a prospective outlook on the future development directions of LLMs in terms of scale, providing insights and inspiration for the future development, training, and application of LLMs.
Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning
Authors: Sun Shaoxuan , Yuan Jingao , Yang Yuelin
Published: December 2024

In modern physical education, data-driven evaluation methods have gradually attracted attention, especially the quantitative prediction of students' sports performance through machine learning model. The purpose of this study is to use a variety of machine learning models to regress and predict students' comprehensive scores in baseball training, so as to evaluate the effectiveness of the current baseball teaching methods and put forward targeted training optimization suggestions. We set up a model and evaluate the performance of students by collecting many characteristics, such as hitting times, running times and batting. The experimental results show that K-Neighbors Regressor and Gradient Boosting Regressor are excellent in comprehensive prediction accuracy and stability, and the R score and error index are significantly better than other models. In addition, through the analysis of feature importance, it is found that cumulative hits and cumulative runs are the key factors affecting students' comprehensive scores. Based on the results of this study, this paper puts forward some suggestions on optimizing training strategies to help students get better performance in baseball training. The results show that the data-driven teaching evaluation method can effectively support physical education and promote personalized and refined teaching plan design.
Balancing Innovation and Privacy: Safeguarding Personal Information in the AI-Driven Digital Era
Authors: Xiao Huilian , Li Jiaxuan
Published: December 2024

The rapid innovation of Artificial Intelligence (AI) has transformed various sectors of society by revolutionising decision making and enhancing efficiency through novel data-driven technologies. This paper explores the challenges of striking a healthy balance between future AI innovation and personal data privacy, where the massive collection and utilisation of personal data have given rise to significant privacy concerns. The study identifies the risks of massive data collection, complex and opaque algorithms, and cybersecurity threats, while simultaneously highlighting the existing legal frameworks such as General Data Protection Regulation (GDPR) and the variations among global approaches to data privacy. The paper also discusses the technical solutions such as privacy-preserving techniques including differential privacy and federated learning, as well as encryption technologies that can facilitate the secure storage and transmission of data. The research proposes strategies for building privacy-preserving AI models and encouraging cross-industry collaboration to achieve a balance between innovation and the protection of individual privacy. It also adds to the ongoing discourse on shaping a responsible future for AI.
Linear Detection and Circuit Structure Based on ZF, MMSE Matrix Iteration and Operations
Authors: Li Kun
Published: December 2024

The Multiple-Input Multiple-Output (MIMO) technology substantially boosts the reliability and data transfer rates of communication links by enabling the parallel transmission of multiple data signals over the same frequency bandwidth, utilizing multiple transmit and receive antennas.Despite these enhancements, traditional MIMO systems are approaching their theoretical throughput limits, which underscores the need for developing new algorithms to tackle computational complexity.This paper categorizes the primary technical approaches into three types: iterative approximation methods, matrix operation-based methods, and the emerging Joint channel Estimation and Data detection (JED) algorithms.It delves into the Neumann series approximation for efficient matrix inversion in large-scale MIMO systems, the Gauss-Seidel iterative approach for soft-output detection, and LDLT decomposition-based algorithms for matrix inversion efficiency. Additionally, the paper emphasizes the JED algorithm, such as PROX, which presents a low-complexity solution for large Single-Input Multiple-Output (SIMO) wireless systems.
The Analysis of MIMO Communication
Authors: Xie Bingqian
Published: December 2024

Communication technologies have developed fast from the First Generation (1G) of mobile communication networks to the Fifth (5G) in 40 years. However, they cannot meet the growing communication requirements of exponentially increasing connected devices. To support these requirements, Multiple-Input Multiple-Output (MIMO) technology has gained extensive attention from researchers for its large channel capacity, high signal reliability and high spectral efficiency. The purpose of this essay is to review the present MIMO technology and critically analyze the challenge of the moment, providing some viable solutions. By analyzing published articles, there are some discoveries that some MIMO technologies have outstanding performance in practical application, like massive MIMO (mMIMO), with others being considered to have potential but having technical obstacles such as terahertz MIMO. In the first part of this article, some main MIMO technologies will be introduced, including mMIMO, Full-Duplex MIMO, Intelligent Reflecting Surface (IRS), AI-Driven MIMO Optimization and mmWave/terahertz MIMO. The second section will provide several development challenges of MIMO technology, while appropriate solutions will also be listed. Lastly, a conclusion will be drawn.
数字经济对居民消费升级的影响
Authors: 路 阳 , 刘 涵
Published: December 2024

本论文探讨了数字经济背景下中国居民消费升级的影响机制与实现路径。随着全球数字技术的快速进步，数字经济已成为推动经济增长和社会发展的新引擎。数字经济不仅提高了产业生产效率，还在居民消费方式和消费结构上带来了深远变革。其重要意义体现在促进消费增长、优化消费结构、增强消费便利性和个性化等方面。然而，数字经济发展也带来了诸多问题，包括城乡数字鸿沟的扩大、数据安全和隐私保护的不足，以及对消费者自主选择权的潜在影响。尤其是在中国，不同地区之间的数字基础设施和应用水平差异显著，导致消费水平和消费方式的明显不均衡，影响了整体消费升级的实现进程。
论文提出，数字经济通过信息流通、支付便捷性和消费选择多样性等因素在不同程度上影响着消费升级。例如，电子商务和移动支付的普及极大地降低了消费者的时间和空间限制，使得个性化消费和高效消费成为可能。同时，数字平台在汇聚信息和推动市场竞争方面发挥了重要作用，但其快速增长也加剧了市场垄断、信息不对称以及数据隐私风险等问题。消费者在数字平台上的行为数据被广泛收集和分析，这一现象虽然提升了营销效率和个性化服务，但也削弱了消费者的选择自由，甚至使其处于被动消费的地位。这些问题不仅影响了消费升级的质量和速度，还提出了对数字平台管理和消费者权益保护的新要求。
论文进一步指出，国际合作和技术交流也是促进数字经济发展的重要路径。通过参与国际组织的合作项目和技术标准的制定，中国可以学习和借鉴国际先进的管理经验和技术方案。这种合作不仅有助于提升本土数字经济的竞争力，还能推动数据安全和隐私保护的国际标准化。论文认为，未来数字经济将继续在提升居民生活质量、推动经济高质量发展方面发挥关键作用，并有助于实现消费市场的全面升级，为经济持续增长注入新的动力。这一过程要求多方共同努力，以确保数字经济的健康、可持续发展，为实现中国全面现代化的目标提供有力支持。
The Effects of Using a Bilingualized Dictionary on EFL Learners’ Vocabulary
Authors: Hayat Mohammed A. , Alazemi Abdullah M , Boland Dalal
Published: December 2024

Dictionaries have been integrated into vocabulary activities in different classrooms within the context of learning English as a foreign language (EFL). This study investigates the effects of using bilingualized dictionaries on EFL learners’ vocabulary. A mixed-method design that comprises a vocabulary exercise in a pretest, posttest and delayed posttest protocol in addition to interviews was employed with participants from the State of Kuwait. Participants included 52 female students, from which six students agreed to participate in semi-structured interviews to reflect on their experience of learning vocabulary. The results showed that a bilingualized dictionary significantly improved students’ vocabulary at both posttests, though the improvement decreased from the first posttest to the delayed posttest. The results could be interpreted according to the involvement load hypothesis (ILH; Laufer & Hulstijn, 2001), which is founded on three pillars: need, search and evaluation. Participants’ views and reflection on the process of learning vocabulary, particularly when using the bilingualized dictionary, combined with the findings of quantitative tests, could inform vocabulary teaching in the EFL context.
A psicopatologizacão e a medicalização das infâncias: o que pode a psicanálise frente aos efeitos da segregação?
Authors: Pereira Halanderson Raymisson da Silva
Published: December 2024

A psicopatologização e medicalização das infâncias, apresentam-se contemporaneamente com um caráter epidêmico de proporções nacionais e internacionais. Tornou-se uma questão de saúde pública, na qual as crianças são tomadas como objetos de avaliação e intervenções médico-psiquiátricas, atuantes principalmente na regulação de seus comportamentos e corpos, destituindo-as da posição de sujeitos. É irrefutável que há nichos de mercado em expansão com propostas diagnósticas e terapêuticas, as quais legitimam a si mesmas como ciências verdadeiras, baseadas em evidências. Os demais saberes, como a psicanálise, passam a ser denominadas de pseudociências. A saúde mental é um grande negócio em que para cada novo transtorno, há novos medicamentos e tratamentos. Nesse contexto, o que poderia a psicanálise frente aos efeitos da segregação decorrente da aliança entre o discurso do capitalismo e da ciência? Qual lugar para o discurso do analista na cidade dos discursos, que produzem grupos fechados, novas identidades para esses sujeitos? Ao analista caberia assumir uma posição ortopédica, servindo a ideologia da criança feliz e funcional, ou sustentar a ética do desejo do sujeito inconsciente, não recuando ante a criança que faz com o seu sintoma uma via de preservação de sua singularidade, continuamente ameaça pelos ideais de normalidade.
Networked Professional Development
Authors: Bowskill Nicholas , Foster Jonathan , Lally Vic , McConell David
Published: December 2024

The Computer Based Collaborative Group. Work (CBCGW) Project is based in the Department of Educational Studies at Sheffield University. The aim of the project is to help raise awareness and to support the development of practice amongst those interested or involved in collaborative networked teaching and learning. The Project team has delivered a range of different resources and activities to different audiences within Higher Education. This support, labelled as the Rich Professional Development Environment (RPDE). is one strand of the project. As part of the RPDE this paper describes an online workshop for academics and a support initiative for staff developers. Finally some consideration is given to our collaborative networked teaching practice as another aspect of networked group learning and an emerging form of practice.
Identifying the Qualities needed for a Virtual Learning Space in Communication and Information Technology Skills
Authors: Harris Rachel A. , Pereira Márcia A. , Davidson Duncan
Published: December 2024

Staff development in Communication and Infom1ation Technology (C&IT) is one of the major challenges currently facing educational institutions. In addition, while being asked to provide support for a ' lifelong learning' society (Dearing, 1997), higher education institutions look to the implementation of C&IT as a means of supporting developments in this area. C&IT staff development is thus all the more crucial, as identified by the Dearing Repo,1 itself, and others (Milligan, 1999; Atkins, 1998 ).
This paper presents ongoing research and development chat will support educational institutions in facing these challenges via the development of a Virtual Learning Space (VLS) for C&IT staff development.
Networked Learning for Post-Graduate Supervisors
Authors: Kandlbinder Peter
Published: December 2024

The Postgraduate Supervisors Development Program has been delivered on-line since 1998. The success of this program in demonstrating the potential for on-line academic staff developme11t has led the Institute for Teaching and Learning to undertake further on-line initiatives targeting, in the first instance, flexible learning and assessment. This paper discusses the development of this networked learning program in which academic staff are free to arrange their own progression and retrieve resources at any time that suits them and their supervisory responsibilities. It highlights the program's participatory modes of learning that creates an environment in which supervisors can reflect on their own supervision as a basis for understanding their supervisory practice.
Embedding Key Skills into the Curriculum through Networked Learning
Authors: Keighley Helen , Diercks-O’Brien Gabi
Published: December 2024

This paper aims to identify opportunities and barriers surrounding successful technology implementation in Higher Education (HE). The paper incorporates the results of an external evaluation, undertaken by Professor Harold Silver, of the implementation of a networked learning environment (NLE) in six HE institutions as part of the ELEN Project (Extended Learning Environment Network). The evaluation was formative in nature and aimed to recommend how the consortium could enhance the implementation process in the project's second phase. The evaluation was sought as a means to afford all stakeholders the opportunity to make a critical assessment. of how successful the implementation of ELEN had been and where improvement was needed. This paper, therefore, provides an overview of and reflection on both the problems experienced and the benefits found by HE staff involved in the project. Although specific to the project, the ELEN experience and the reflections reported herein will be of value to other institutions or technology projects.
"Let's Be Careful Out There!"
Authors: McDowell Liz , Pickard Alison
Published: December 2024

Access to information is seen as one of underpinning infrastructures and essential features of lifelong learning and is supported by government initiatives (for example DfEE, 1997). The availability of vast information resources in the electronic information world is often viewed as a positive and, indeed, liberating feature of networked learning. Claims are made that the use of electronic information enables more learner-centred approaches. If learners can undertake independent discovery and explore alternatives rather than being reliant on their teachers to provide the information they require, this provides a foundation for lifelong learning.
In this paper, we aim to challenge the assumptions that access to a wealth of information will necessarily lead to the extension of learning opportunities and better learning. We draw on data from two research projects, both of which gathered data through case studies and adopted qualitative, interpretative approaches to illustrate experiences of learning, teaching and supporting learning in the electronic information world. The Higher Education study (McDowell, 2000) was an element of the IMPEL2 eLib-funded project, which undertook a set of case studies across UK HE institutions. Its purpose was to illuminate the organisational and cultural impacts associated with rapid technological and educational developments, from the perspectives of academic, library and learning support staff. The school study was based on sixteen case studies of Year 10 students in four secondary schools. It formed part of a PhD investigation of the experiences of electronic information use and learning (Pickard, 1998).
Romanian Universities Face to the Networked Learning Reality
Authors: Mohora Cristina , Ispas Constantin , Zapciu Miron
Published: December 2024

This paper reports some of the findings and problems of a ODL Socrates project which is conducted in the POLITEHNICA University of Bucharest and is entitled: "FAVIRinternational virtual network for the future enterprise.
The virtual network FAVIR founded in 1999 between 4 organizations in Europe (3 universities and one organization specialized io multimedia and new technologies) will improve the relations and experience in the networked learning between Greece, France, Italy and Romania.
The object of the project is to integrate the partners, the pedagogical experience specific to each of them and to disseminate ideas and experiences in the networked learning (favir@egroups.com). The fields of activity arc very important because they define a virtual network, which correspond to the virtual enterprise principles.
Driving Across Stepping Stones
Authors: Salmon Gilly
Published: December 2024

Interaction between work (thought of as doing) and learning (mastering new knowledge and skills) and between paid work and leisure is predicated to become much more fluid in the future (Steele 1996). With the advent of online learning, this notion becomes real and the role of training to work in new ways and in new online environments becomes of critical importance. There is broadening acceptance and understanding of learning as a socially mediated and constructed process (Billett 1996) and of knowledge as no longer "fixed"(Hendry 1996). Therefore supporting training and education through work-based networks, especially exploiting the interactive benefits of online working, needs to take account of a much wider variety of factors than learning to use appropriate software.
Evaluating an Open University Web Course
Authors: Weller Martin , Mason Robin
Published: December 2024

In 1999 the UK Open University (UKOU) piloted an innovative web based entry level course which provide.cl an introduction to the Internet and computers. The course represents the UKOU's first large scale offering which is solely web base.cl, with online tuition. The course was piloted with 850 students, and extensive evaluation was undertaken. This paper identifies six main issues which affected student's satisfaction and performance on the course: the skills taught in the course; the level of starting knowledge; the use of computer conferencing; participation in online group activities; online tutor support; and time associated with studying. In general the course was successful and student satisfaction was high amongst those who complete.cl it. In 2000 the course is being presented to over 12,000 students.
Buildings And Educational Environment Of Nersisyan School In Tiflis
Authors: Hovhannisyan Edgar
Published: December 2024

Nerses Ashtaraketsi has played an important role in the social, spiritual, cultural life of the Armenians of the first half of the 19th century. As a clergyman and Catholicos of All Armenians (1843-1857), he has focused on education issues. At the latter’s initiative and direct participation, in 1824, the famous Nersisyan School was founded in Tiflis. During the 100 years of its activities, it played a significant role in the life of Armenians. Every educational institution needs both qualified pedagogical staff and a favorable educational environment to carry out effective activities. Nerses Ashtaraketsi and later the representatives of the school’s trusteeship did everything in that direction, providing an educational environment that meets the requirements of the time. The school was located in three main buildings. The first building was built at the direct initiative of Nerses Ashtaraketsi and in 1824 school operated directly in that building. The building was one of the most beautiful ones in Tiflis and was not inferior to similar European educational institutions of the time. In 1854 a new building was bought for the Nersisyan School, the building of the post office near the Alexandrian Park in Tiflis. In 1859-1912 the school mainly operated in that building. Some classes were also held in buildings located in different districts of Tiflis. The last building of Nersisyan School was built in 1909-1912 with the funding, allocated by a philanthropist Alexander Mantashyan. Built in an exclusively Armenian architectural style, the building was unique in its kind. It completely corresponded to modern educational institutions providing quality education. The article discusses the history of the creation of Nersisyan school’s buildings and the conditions of education.
Role of Rural Self Employment Training Institutes (RSETIS) for Rural Entrepreneurship Competency Development
Authors: Singh Rajesh Ranjan , Kumar Chaitan
Published: December 2024

Govt. both the Central and State has been running many programs aimed to train the youth becoming entrepreneurs or self employed. One such progam promoted by the Ministry of Rural Development, Govt of India in association with the Banks and the State Govt.s is the Rural Self Employment Training Institutes (RSETIs). By its presence in around 600 locations across the country, RSETIs are one the largest brick and mortar training Institute aimed to train India’s youth for self employment and entrepreneurship. This Paper aimed to find out the competencies are being developed by the RSETIs among rural youths for taking up the self employment ventures through literature reviews and analysis of secondary data sources. Through development of 15 key entrepreneurs competencies there has been approx 70% settlement rate across the nations. Individual financing or bank loan were found as key challenges for the budding entrepreneurs.
Auf Spurensuche: Archäologisch arbeitende Frauen seit dem späten 18. Jahrhundert
Authors: Bösl Elsbeth , Gutsmiedl-Schümann Doris
Published: December 2024

Der historisch-biografische Zugang ist ein gewinnbringender Weg, um sich den Dimensionen von Geschlecht in der Wissenschaftsgeschichte zu nähern. Wir stellen anhand von Schlaglichtern auf die Biografien ausgewählter früher Archäologinnen unsere Vorgehensweisen, Methoden und Quellen vor und zeigen die Potenziale, aber auch die Grenzen der historischen Biografieforschung im jeweiligen zeitlichen und gesellschaftlichen Kontext auf. Dabei setzen wir im späten 18. Jahrhundert und damit in einer Zeit ein, in der sich die Archäologien erst als eigenständige Wissenschaften zu etablieren begannen, und verfolgen unsere Spurensuche bis ins 21. Jahrhundert.
Adagio analítico de la relocalización del sujeto político como futuro docente en la transformación curricular en Uruguay
Authors: Russi Duarte Pedro , Pérez Fernández Rossana Judith
Published: December 2024

Asistimos a una relocalización y resignificación del sujeto político en los ámbitos de la educación superior en la región. Para argumentar a favor de la anterior afirmación, se propone el análisis de la actual transformación curricular en la formación de docentes y educadores de Uruguay, a partir del documento de base conocido como Marco curricular de la formación de grado de los educadores. Presentamos un acercamiento crítico a los sentidos del derecho a la educación con la premisa de que toda dotación de sentido es producto de unos procesos de semiosis que, a su vez, prefiguran un tipo particular de sujeto, en este caso de la educación superior.
Emotion Recognition by Textual Tweets Classification Using Voting Classifier
Authors: Saikrishna CH , reddy D.Sathwik , Ajith G , doulani DR.khushbu
Published: December 2024

The proliferation of social media platforms has
revolutionized sentiment analysis, transforming it into
a pivotal research area. Twitter, known for its brevity
and real-time engagement, serves as a significant
platform for analyzing public opinions on diverse
topics. Sentiment analysis leverages machine learning
to automatically identify emotions, providing valuable
insights into societal trends, government policies, and
market dynamics. This study explores the performance
of seven machine learning classifiers for emotion
detection in tweets, culminating in a novel voting
classifier (LR-SGD) that utilizes TF-IDF features. The
proposed model achieved a notable accuracy of 79%
and an F1 score of 81%.
Machine Learning for Hospital Health Prognostication: Next Gen Health Monitoring
Authors: Siddiqa Ayesha , G S Kavana , S Patel Manish , M Lisha , J S Madhushree
Published: December 2024

The diagnosis of critical diseases like breast
cancer, diabetes, malaria, and pneumonia is challenging,
especially in under-resourced healthcare settings due to
infrastructure limitations and time-consuming methods. To
address these issues, we propose a web-based Multiple Disease
Predictor platform, a centralized diagnostic tool powered by
machine learning algorithms. The platform processes medical
images, blood test results, and clinical data to deliver accurate,
real-time disease predictions. By consolidating multiple
diagnostic capabilities into one interface, the system reduces
reliance on specialized equipment, improves efficiency, and
enhances diagnostic accuracy, particularly in resource-limited
areas. Advanced machine learning and deep learning
techniques enable rapid, accurate data analysis, minimizing
diagnostic errors and misdiagnosis risks, which is crucial in
underserved regions with limited access to specialized
equipment. The platform also supports early detection and
timely treatment, improving patient outcomes. By integrating
diverse diagnostic data sources, healthcare providers can make
faster, informed decisions. This system democratizes access to
advanced diagnostic technology, promoting cost-effective
healthcare.

Key Words: Diagnosis, Diabetes, Machine Learning, Decision
tree, Logistic Regression and Accuracy.
Analisis Deskriptif Motivasi Kerja Pegawai
Authors: Nursanty Mia , Priadana M Sidik
Published: December 2024

Work motivation can be a driving force for someone to carry out an activity to get the best results; there needs to be a solid push to increase individual motivation. Departing from the critical role of work motivation, the researcher intends to research employee work motivation. The goal is to get an overview of employee work motivation at one of the local government agencies in Cimahi City. Based on the aims and objectives of the study, the researcher used a descriptive approach to describe employees' work motivation. Respondents who are uses as samples are employees who one of the local government agencies as many as 114 employees. The results of the study illustrate that the study resultss' work motivation is in the good enough to good category. The study results indicate that the condition of employee motivation is adequate; however, it needs to be improved by the leadership of the local agency to achieve optimal employee motivation.
Pengaruh Rasa Saling Percaya Terhadap Kolaborasi
Authors: Rahman Robbi Saepul
Published: December 2024

Research on mutual trust and collaboration has been proven by previous studies that show positive and constructive behavior related to work. Some studies use instruments of mutual trust and collaboration but have not yet tested how much influence cultural variables have on each other on collaboration. Therefore this study investigates the effect of the variable of mutual trust on the collaboration variable by using multisample in several industrial sectors in the Greater Bandung Region, Indonesia. The method used is a simple linear regression analysis with SPSS version 17. The research results show that the instruments adopted from both variables show valid results and can replicate in multiple samples in several industrial sectors in the Greater Bandung Region, Indonesia. Furthermore, the results of this study indicate that there is a positive and significant influence between the variables of mutual trust on collaboration.
Pengaruh Kompetensi Dan Komitmen Terhadap Kepuasan Kerja Pegawai
Authors: Nurhadian Adhie Fasha
Published: December 2024

This research made to determine the effect of competence and commitment to employee job satisfaction in this study using a questionnaire with 71 respondents. The data analysis method uses path analysis. The results showed that there was an influence of competence and commitment to employee job satisfaction. The competency variable has a direct impact of 14.4%, an indirect effect through a commitment relationship of 10.4%, so the total result is 24.7%. Commitment has a direct effect of 29.7%, an indirect impact through its relationship with competency of 10.4%, so the overall effect is 40.1%. And the total result of Competence and Commitment to job satisfaction is 64.8%, and the overall impact of job satisfaction on employee performance is 72.3%.