bluuebunny/crossref_metadata_2025 huggingface dataset:
REGULAÇÃO LEGAL DAS REDES SOCIAIS: PROTEÇÃO DE DADOS E LIBERDADE DE EXPRESSÃO
Authors:   Wilson Duarte Lapo, Lima Antônio Carlos de , Montevilla Juan Luna , Santos Luis Benedito Dos
Published: October 2024

The legal regulation of social networks is a field in constant evolution, which seeks to balance two fundamental pillars in the digital era: data protection and freedom of expression. Social networks manage a huge amount of personal data, which makes the existence of legal frameworks that protect users’ privacy imperative. Regulations such as the General Data Protection Regulation (GDPR) in the European Union and the General Data Protection Law (LGPD) in Brazil establish strict standards on how platforms must manage personal information. These laws not only allow users to access, correct or delete their data, but also impose sanctions on companies that do not comply with these requirements, ensuring a high level of security and transparency. At the same time, freedom of expression is a fundamental right that must be protected in the digital environment. However, exercising this right on social media often conflicts with the need to moderate content that may be considered offensive, dangerous or even illegal. Platforms implement moderation policies to mitigate the spread of hate speech, misinformation, and other harmful content. This, however, creates significant challenges in relation to censorship and the delimitation of permitted speech, which can affect the free expression of ideas and opinions. The challenge lies in finding an appropriate balance between protecting users’ privacy and data and enabling robust freedom of expression. An excessive focus on data protection can limit users’ ability to express themselves freely, while unrestricted freedom of expression can put individuals’ security and privacy at risk. As social media becomes more deeply integrated into everyday life and becomes a key platform for communication and the exchange of ideas, it is essential that regulations continue to adapt to address these dilemmas in a balanced and fair way. The future of regulation in this field will depend on the ability of legislators and platforms to adapt to rapid technological and social changes. ensuring that both rights are protected effectively and equitably.
Embolie pulmonaire : utilisation des critères de prescription tomodensitométrique de L’European Society of Cardiology en milieu tropical (Les observations du Radiologue)
Authors:   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Fatto NE , Le DA ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Bakayoko I ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Koffi AJL ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Kadio AMR ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Dembele AM ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, N'dja AP ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Gnaoule DT ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Zouzou AE ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire, Toure A ,   Service d’Imagerie médicale du CHU de Cocody, Abidjan –Côte d’ivoire
Published: October 2024

Contexte : Les diagnostics scanographiques des embolies pulmonaires restent relativement faibles malgré l’amélioration du plateau technique avec des scanners dits de dernières générations. Des algorithmes de prescriptions validés par la communauté scientifique ont été élaborés pour corriger cette observation. Objectif : Vérifier l’application des algorithmes de prescriptions en milieu tropical. Méthodologie : Il s’agissait d’une étude rétrospective descriptive de 3 ans réalisée dans le service de radiologie et de médecine d’une clinique privée. Elle a porté sur l’analyse des dossiers médicaux et des comptes rendus radiologiques des patients qui ont réalisés un angioscanner thoracique pour suspicion d’embolie pulmonaire. Les angioscanners thoraciques étaient prescrits par des urgentistes seniors. Les paramètres étudiés étaient : la prévalence de l’embolie pulmonaire, les scores de probabilité clinique, l’utilisation des D-dimères. La comparaison des données qualitatives fut réalisée à l’aide du test CHI2 de Mac Pearson. Résultats : La prévalence des embolies pulmonaires était de 18,20% avec une atteinte périphérique préférentielle. Les scores de probabilité clinique ont été utilisés dans seulement 7,8% des cas. Les D-dimères ont été dosés dans 93 ,8% des cas. Nous avons observé que 94,5% des patients à probabilité clinique forte ont bénéficié d’un dosage inutile des D-dimères, à contrario 6,2% des patients à probabilité clinique faible ou intermédiaire n’ont pas eu de dosage des D-dimères avant la réalisation de l’examen. 3,5% des Patients avait des D-dimères négatif mais ont réalisé quand même l’angioscanner thoracique pour rechercher une embolie pulmonaire. Conclusion : Les algorithmes de prescription ESC sont peu ou mal utilisés en milieu tropical. Mots-clés : Embolie Pulmonaire, ESC, Scanner.
Circonstances de découverte des hémorragies digestives hautes aigues au service des urgences de l’hôpital central de Yaoundé
Authors:   Institut supérieur de technologie médicale/Université de Douala, Département de chirurgie et spécialités, Cameroun, Nga Nomo SV , Kuitchet Njeumji AG ,   Faculté de médecine et des sciences biomédicales, Département de chirurgie et spécialités, Université de Garoua, Cameroun, Binam Bikoi CET ,   Faculté de Médecine et des Sciences Pharmaceutiques, Département de chirurgie et Spécialités, Université d’Ebolowa, Cameroun, Iroume Bifouna CR ,   Faculté de Médecine et des sciences biomédicales, Département de chirurgie et spécialités, Université de Yaoundé1, Cameroun, Djomo Tamchom D ,   Faculté des sciences de la santé, Département de chirurgie et spécialités, Université de Buéa, Cameroun, Ngouatna S ,   Faculté de Médecine et des sciences biomédicales, Département de chirurgie et spécialités, Université de Yaoundé1, Cameroun, Jemea B ,   Faculté de Médecine et des sciences biomédicales, Département de chirurgie et spécialités, Université de Yaoundé1, Cameroun, Biwolé M ,   Institut supérieur de technologie médicale, Département des sciences cliniques, Cameroun
Published: October 2024

Objectif : Décrire les circonstances de découverte des hémorragies digestives hautes au service d’accueil des urgences vitales de l’hôpital central de Yaoundé. Méthodologie : Il s’agissait d’une étude observationnelle, prospective à visée descriptive qui s’est déroulée sur une période de 3 mois (Août à Octobre 2020) dans le service des urgences de l’hôpital central de Yaoundé. Tous les patients admis pour une hémorragie digestive haute au cours de la période suscitée ont été inclus. Les variables étudiées étaient : les caractéristiques sociodémographiques de la population d’étude, les données cliniques et la qualification du personnel soignant. Résultats : Durant la période d’étude, 38 patients ont répondu à nos critères d’inclusion. L’âge médian était de 52±5,2 ans. Le sexe ratio était de 1,5. L’ulcère gastroduodénal était l’antécédent le plus retrouvé (39,5%). L’hématémèse représentait le principal mode révélateur de l’hémorragie digestive haute (55%), suivi du méléna (19%). Le seuil transfusionnel était de 7g/dl la majorité des cas (63,2%). Conclusion : l’hématémèse représente le principal mode révélateur des hémorragies digestives hautes. La prise en charge d'une hémorragie digestive haute est à la fois médicamenteuse et endoscopique. La compensation des pertes sanguines par le sang total reste largement employée aux urgences de l’hôpital central de Yaoundé. Mots-clés : Hémorragies digestives hautes, transfusion sanguine, service des urgences.
Neuropathie diabétique douloureuse (NDD) au service de neurologie du CHU de YOPOUGON à ABIDJAN (RCI)
Authors:   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire, Nawa SY ,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Yannick TK ,   Service de Neurologie, CHU de Bouaké, Côte d’Ivoire, N’guessan YCB ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Essoin-De Souza NT ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Beuseize AMR ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Abbé AS ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Diakité I ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Kouassi KL ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire, Doumbia-Ouattara M ,   UFR Sciences Médicales, Université Félix Houphouët-Boigny, BP V 166, Abidjan, Côte d’Ivoire,   Service de Neurologie, CHU de Yopougon, 21 BP 632, Abidjan 21, Côte d’Ivoire
Published: October 2024

Introduction : La neuropathie diabétique douloureuse (NDD) représente une complication invalidante du diabète sucré, mais elle reste sous-évaluée. Le but de notre travail est de décrire le profil clinique et thérapeutique des patients. Méthodologie : Nous avons mené une étude rétrospective à visée descriptive qui a concerné 60 patients diabétiques de type 1 et 2. Le principal critère d’inclusion était la présence d’une douleur neuropathique mis en évidence par un score DN4 supérieur ou égal à 4. Résultats : L’âge moyen était de 57,85 ans avec une prédominance féminine (sex-ratio : 0,58). 56,67% des patients étaient sans-emplois. 98,33% étaient diabétiques de type 2 et mal contrôlé dans la majorité des cas. Le diabète était connu depuis moins de 10 ans chez 61,67% des patients. 56,67% recevaient de l’insuline et l’HTA était associée au diabète dans 61,67% des cas. Tous les patients présentaient une polyneuropathies longueur dépendante et 30% se plaignaient d’une dysfonction sexuelle. Le score DN4(douleur neuropathique en 4 questions) était entre 4 et 5 dans 63,33% des cas et le score EVA entre 5 et 6 dans 40% des cas. La prégabaline était utilisée dans 80% des cas à des doses journalières ≤ à 300mg. Conclusion : La NDD bien que plus fréquente chez le diabétique de type 2 reste sous diagnostiquée et sous traitée. Mots-clés : DN4, Neuropathie diabétique, neuropathie douloureuse, Abidjan.
A Comprehensive Review of Communicative Language Teaching (CLT) in Modern Classrooms
Authors: Salam Muhammad Yusuf , Luksfinanto Yovan
Published: October 2024

Communicative Language Teaching (CLT) has become a dominant methodology in language education, emphasizing interaction and practical communication skills over traditional grammar-focused approaches. With the increasing need for language learners to develop real-world communicative competence, CLT has been widely adopted in modern classrooms across various educational contexts. However, its implementation faces challenges such as cultural differences, teacher preparedness, and institutional constraints. This comprehensive review aims to evaluate the effectiveness and challenges of CLT in contemporary language teaching settings. This study uses a systematic review methodology, analyzing research articles, case studies, and reports published in the last two decades. The review focuses on both qualitative and quantitative studies that assess CLT’s impact on language proficiency, learner motivation, and classroom engagement. It also explores barriers to successful CLT implementation, including teacher training and resource limitations. The findings suggest that CLT has a significant positive impact on learners’ communicative competence and motivation, especially in immersive environments. However, the success of CLT varies depending on the classroom context, cultural backgrounds, and teacher expertise. Moreover, while CLT fosters a more interactive learning experience, challenges such as inadequate teacher training and a lack of suitable materials often hinder its full potential. In conclusion, CLT remains an effective approach to language teaching, but its success is contingent on overcoming implementation barriers. Further research is needed to address these challenges and to explore how CLT can be adapted to different learning environments.
A Review of Language Curriculum Development in Multilingual Classrooms
Authors: Erwin Erwin , Noor Ahmad Firdaus Mohd
Published: October 2024

Integrated curriculum models in language teaching have gained prominence as educators seek to provide holistic, interdisciplinary learning experiences that improve both language proficiency and content knowledge. These models emphasize the meaningful application of language skills across various subjects, promoting deeper student engagement and critical thinking. However, the implementation of integrated curricula presents challenges related to teacher collaboration, resource availability, and institutional support, especially in traditional educational settings. This review aims to analyze the effectiveness of integrated curriculum models in language teaching by synthesizing findings from empirical studies and theoretical discussions. The study examines how these models influence language learning outcomes, foster critical thinking, and address the practical challenges faced by educators. Both qualitative and quantitative studies were included, covering various educational levels and cultural contexts. The findings indicate that integrated curriculum models enhance language proficiency, particularly in communicative and academic skills, while simultaneously improving student engagement and content mastery. Effective implementation depends on strong teacher collaboration and institutional support. However, barriers such as inadequate resources and lack of training often hinder the success of these models. In conclusion, integrated curriculum models offer substantial potential for improving language education, but their success requires careful planning and sufficient support. Future research should focus on long-term outcomes and the adaptation of these models to diverse educational contexts to maximize their impact.
Task-Based Language Teaching: A Systematic Review of Research and Applications
Authors: Mudinillah Adam , Rahmi Sri Nur , Taro Nanakorn
Published: October 2024

Task-Based Language Teaching (TBLT) has gained widespread recognition as an effective approach in language education, emphasizing meaningful communication and real-world language use. TBLT focuses on learners completing tasks that mirror authentic language use, promoting both linguistic and communicative competence. Despite its popularity, challenges in implementation, teacher training, and resource availability have raised questions about its effectiveness across different educational contexts. This systematic review aims to evaluate the research and applications of TBLT, analyzing its impact on language proficiency, student engagement, and instructional outcomes. The review includes qualitative and quantitative studies from various contexts, ranging from primary to higher education, as well as English as a Foreign Language (EFL) and English as a Second Language (ESL) settings. The findings reveal that TBLT enhances language acquisition, particularly in developing speaking and listening skills, and fosters greater learner autonomy. However, successful implementation requires adequate teacher training and institutional support. Challenges such as curriculum alignment and assessment remain significant obstacles in some educational environments. Despite these issues, TBLT consistently promotes higher levels of student engagement and motivation. In conclusion, TBLT offers considerable benefits for language learning, but its success is highly dependent on contextual factors such as teacher preparedness and curriculum flexibility. Further research is needed to explore long-term outcomes and effective strategies for overcoming implementation barriers.
Language Teaching and Curricular Practices: A Comprehensive Literature Review
Authors: Rezi Melisa , Bedra Kddour Guettaoui
Published: October 2024

Language teaching has evolved over the decades, driven by advancements in educational theories and the growing need for learners to communicate effectively in a globalized world. Curricular practices in language education have shifted from traditional grammar-based approaches to more communicative and task-oriented models. However, the implementation of these curricula varies across different contexts, raising questions about their effectiveness and adaptability. This comprehensive literature review aims to analyze the current trends, challenges, and best practices in language teaching and curriculum design. By synthesizing findings from empirical studies, the review examines how various curricular approaches impact language proficiency, learner engagement, and teaching methodologies. The study also explores the role of institutional support and teacher training in facilitating successful language education reforms. The review finds that communicative and task-based curricula significantly improve language proficiency and learner motivation. However, successful implementation requires adequate teacher preparation, appropriate resource allocation, and flexibility in curriculum design. Additionally, challenges such as cultural differences, institutional rigidity, and assessment practices can hinder the effectiveness of innovative curricular models. In conclusion, while communicative and task-based approaches show promise, their success is highly context-dependent. Future research should focus on developing adaptable curriculum models that accommodate diverse educational settings and explore long-term outcomes of these approaches.
Exploring the Challenges and Opportunities of Blended Learning in a Technology–Enabled Education Environment
Authors:   GITAM Deemed to be University, India,, Aravind B. Suraj
Published: October 2024

Technology integration in education has led to blended learning, a pedagogical approach combining traditional face-to-face instruction with online learning components. Through a comprehensive review of existing literature and empirical research, this investigation examines the impact of blended learning on both students and educators. It delves into this approach's diverse range of technologies, including Learning Management Systems, video conferencing tools, and digital content platforms. Through qualitative and quantitative analysis, the research identifies the opportunities that arise from adopting blended learning. It investigates the advantages of increased student flexibility, personalised learning experiences, and enhanced access to educational resources. The study explores how interactive content and virtual collaboration tools can boost student engagement and motivation. However, the study also uncovers educators' and students' challenges when implementing blended learning. These obstacles include technology access and proficiency issues, consistent communication, and addressing individual learning needs. The study addresses potential resistance to change from traditional teaching methods and the importance of teacher training and support. It compares students' achievements in blended learning environments with those in traditional classrooms and analyses the role of technology in influencing these outcomes. Based on the findings, the research concludes by providing insights into the future implications of blended learning in technology-enabled education environments. Keywords: Blended Learning; Learning Management System; Technology-enabled learning
Limitations in the Contemporary Technical Education System and Ways to Improve them
Authors:   Mangalore Institute of Technology & Engineering, India, Bhagwat Dinesh
Published: October 2024

Ancient India had a "GuruKula" system in which a guru (“the dispeller of darkness”) trained his disciples who emanated from different walks of life. The guru knew the strengths and the weaknesses of each of his disciples. For example, the mythological Dronacharya (of the “Mahabharata” fame) made “Arjuna” the master of archery but shaped “Duryodhana” as the ace in mace-fighting. This arcane system has transformed into a commoditized and commercialized present-day education system (thanks to money) that we are witnessing. Technical education (Engineering in particular) still has the charm. Yet, in the ever-changing world of demand versus supply, it is an absolute necessity for us, educators, to prepare our students for the future of the new India and for the benefit of mankind. The students should be industry-ready by the time they graduate from college, regardless of the course they are pursuing. Unfortunately, what we witness today seems largely an “outdated school of thinking” where an instructor is complacent about his/her craft – mainly because he/she has been teaching the same subject usually the same way, for several years. This system has serious flaws. Life is all about new ways of learning and learning new ways - forever and continuously - to keep oneself intellectually motivated and satisfied. The moment we as teachers feel adequate or self-sufficient, we are heading for a slow but sure disaster and make ourselves outdated in the process, like an expired drug. So, better late than never. We, as instructors need to be emotionally closer to the students (many students still see their parents in their teachers) than we currently are, as the expectations from the new generation have changed which wants guidance, mentoring, coaching, and hand-holding. Education has been the only industry in the world where the student – your customer - pays large sums of money and never complains about the quality of the service received. Even this, is changing. We, teachers, learn from our students all the time. The students are more savvy in using modern tools and technology and new ways of thinking. It is the time we align ourselves. Keywords: Complacent; Engineering; Gurukula; Intellectual Motivation; Outdated; Modern Tools and Technology
Unveiling Effectiveness: A Comparative Exploration of Task-Based Learning and Traditional Lecture Delivery in Teaching Engineering Drawing
Authors:   Department of Mechanical Engineering, School of Engineering, RK University, Kasturbadham, Bhavnagar – Rajkot Highway, Near Tramba, Rajkot-360020, Gujarati Anand M , Bhatt Maharshi , Joshi Hardik
Published: October 2024

Engineering drawing, conventionally referred to as engineering visuals, has served as the primary communication medium for engineers. In the realm of mechanical engineering, this mode of communication is heightened to the extent that it attains the status of a first language within its domain. Within engineering applications, any shortcomings in comprehending these drawings can result in significant expenses. The occurrence of errors in the interpretation of engineering drawings has consistently posed concerns within industries employing engineering professionals. Therefore, an urgent emphasis on enhancing the teaching-learning process within this drafting course is imperative. This article reports an attempt to elevate the graphical communication skills in a class of 2nd semester engineering students with the comparison of previous year data. The findings indicate that the instructional method has the capacity to improve engineering drawing skills, and this approach holds promise for raising proficiency within the span of a single semester of study. During the semester felicitators attempt one practice. Keywords: Graphical communication skills, engineering drawing, out of classroom approach
Inter-retaliatory Student Projects as Part of Evaluating Practical Knowledge with the Assist of Novel Assessment Technique
Authors:   Department of Electrical Engineering, School of Engineering, RK University Kasturbadham, Bhavnagar – Rajkot Highway, Near Tramba, Rajkot-360020, Israni Riaz Kurbanali
Published: October 2024

This paper enlightens on the enrichment of students in practical aspects rather than by regular lecture sessions. We at RK University came up with a new initiative of introducing inter-disciplinary student projects for the Department of Computer engineering, Electrical engineering, Electronics & Communication Engineering& Mechanical Engineering. The approach was that the students of diploma 5th semester of above-said branches will come together in a group of maximum six students to design & develop a prototype model with a specific application in compliance with domestic and industrial needs. The main objective was to make them aware of other disciplines that how things are managed irrespective of the hurdles in their way and to understand basic fundamentals of other branches. This paper showcases the course evaluation methodology, rubrics components and flow of progress of project work. Hence culmination of domestic/industrial needs with practical knowledge of the prototype models would meet their expectations. Keywords: Inter-disciplinary project work, Innovative assessment, Team-coordination
Redefining Internal Communication for Sustainable Organisational Management: A Critical Review of Studies
Authors: Okolo Mike
Published: October 2024

Communication is currently undergoing an unprecedented transformation with adverse effects on organisational sustainability. It is therefore important that organisations pay attention to their internal communication to ensure that management, employees, and other stakeholders are kept informed throughout the change. Internal communication refers to the communication that takes place within an organization and is an essential way of communicating policies and projects to employees. This paper examined the concept of internal communication for sustainable organizational management, focusing on the communication channels currently in use by organisations in Nigeria. The paper used the media richness theory (MRT) to understand the different perspectives of internal communication in Nigerian organisations. Particularly, it reviewed the appropriate channels for employee communication and concluded that internal communication is vital to the sustenance of any organisation and should be managed effectively.
The Role of Instagram Videos on the Growth of Female-Owned Businesses in Lagos
Authors: Falade Temitope
Published: October 2024

Although videos are a compelling form of content on Instagram, women entrepreneurs on Instagram exist within a highly competitive space, and they need to seek out approaches that will give them a competitive edge while creating content for promoting their businesses. The study aimed to explore how Instagram videos can engage potential consumers, promote products, and increase brand awareness. Twenty-three women entrepreneurs were chosen using a snowball sampling technique and were then interviewed in detail, using a qualitative approach. The study showed that Instagram videos and other marketing campaigns influence the growth of women-owned businesses. The key metrics that indicated growth were engagement rates, direct communication channels, lead generation and conversion rates, website traffic, testimonials, and follower growth and retention. These metrics helped women entrepreneurs assess and improve their marketing strategies, identify areas that need improvement, and make decisions to maintain and improve company success. The study recommends that future research should combine both qualitative and quantitative research designs to provide statistical validation for the study's findings as well as content analysis of Instagram videos used by women-owned businesses on Instagram.
Artificial intelligence, machine learning, and deep learning in cloud, edge, and quantum computing: A review of trends, challenges, and future directions
Authors: Rane Jayesh , Kaya Ömer , Mallick Suraj Kumar , Rane Nitin Liladhar
Published: October 2024

With an emphasis on current trends, obstacles, and future directions, this research offers a thorough analysis of the intersection of cloud, edge, and quantum computing with artificial intelligence (AI), machine learning (ML), and deep learning (DL). Cloud computing provides scalable infrastructure as AI-driven applications grow quickly, and edge computing moves processing power closer to data sources to improve real-time analytics and reduce latency. Intelligent applications in the healthcare, autonomous systems, and Internet of Things industries can only be made possible by the integration of AI and ML in these environments. Applications that require low latency can't run in cloud environments, and edge computing can't run smoothly on limited power and processing capacity. Concerns about privacy and security are still present in both paradigms, particularly in decentralized edge environments. Even though quantum computing is still in its infancy, it has the potential to transform artificial intelligence (AI) by providing solutions to issues those classical systems are unable to handle. However, errors in hardware scalability and error correction arise. This review delves into new approaches such as early quantum algorithms for AI, hybrid cloud-edge architectures, and federated learning for distributed AI.
Scalable and adaptive deep learning algorithms for large-scale machine learning systems
Authors: Rane Jayesh , Kaya Ömer , Mallick Suraj Kumar , Rane Nitin Liladhar
Published: October 2024

In the age of massive datasets and real-time applications, scalable and adaptive deep learning algorithms are critical to meeting the ever-increasing demands of large-scale machine learning (ML) systems. The state-of-the-art developments in scalable deep learning methods are examined in this research, with particular attention paid to architectural breakthroughs that facilitate effective model training, adaptive learning, and inference across distributed systems. It is emphasized that contemporary algorithms—like distributed gradient descent optimization, model parallelism, and sophisticated reinforcement learning techniques—are essential for controlling the complexity of big datasets without compromising performance. The research also explores how resource optimization and auto-scaling mechanisms work together, which is crucial for reducing computational overhead in cloud-based machine learning systems. It is highlighted that adaptive models—which can modify their architecture in response to patterns in input data and changes in the surrounding environment—are essential for maintaining robustness and flexibility. High-dimensional data, dynamic workload allocation, and latency minimization in real-time learning tasks are among the scalability challenges tackled. A closer look at more recent frameworks like Federated Learning, which makes it easier for decentralized model training across edge devices, shows how promising these scalable methods can be for privacy-preserving applications. The areas include automated machine learning (AutoML), hyperparameter tuning, and self-supervised learning.
Artificial Intelligence and Industry in Society 5.0
Authors: Rane (ed) Nitin Liladhar
Published: October 2024

The past few years have seen artificial intelligence (AI) acting as a force that has been changing industries, societies and also the educational landscape. The objective of this book is to present a holistic view of the different sectors being affected by AI and to list some of the challenges or opportunities that have arisen as part of this fast-moving area. The opening chapter is on the ethically fraught domain of AI technologies such as ChatGPT in educational contexts, noting new frontiers for cheating and suggesting ways that its integrity can be protected during this next industrial push of technological change. Even as AI tools grow in common use, educational institutions must grapple with these complexities to maintain notions of fair play and knowledge building. Further chapters move beyond AI in education to how it can be used as a broad lever for smart and sustainable campuses, cities, and infrastructure. The text in Chapter two centers on the way artificial intelligence (machine learning and deep learning) can steer more insightful urban planning, resource management and development that is sustainable. Chapter three presents a wider coverage of AI applications, including the concept of digital twins in different sectors-healthcare, finance and agriculture-as examples on how digital replicas improve productivity and innovation across various industries under Industry 4.0; 5.0 and Society 5.0. Chater four and five moves to the regulatory issues regarding AI. They talk about the importance of strong policies and the technological, economic, and regulatory obstacles holding back AI from realizing its promise in helping industries become smarter and more sustainable. The book also wraps up with a reflective commentary which presents the real-world applications of AI, future directions and potential research topics in AI, thereby providing readers some suggestions about where we could go regarding the development of AI in the next few years. This is the series of chapters that will show you how transformational AI can be; we hope it awakens the imagination and motivates people to conduct research and innovation in this exciting sector.
Smart farming using artificial intelligence, machine learning, deep learning, and ChatGPT: Applications, opportunities, challenges, and future directions
Authors: Rane Jayesh , Kaya Ömer , Mallick Suraj Kumar , Rane Nitin Liladhar
Published: October 2024

Using artificial intelligence (AI), machine learning (ML), deep learning (DL), and conversational models like ChatGPT, smart farming is revolutionizing the agricultural industry by increasing productivity, cutting down on resource usage, and improving decision-making. Critical agricultural problems including crop monitoring, pest identification, weather forecasting, and soil analysis can be resolved with the help of these technologies. Predictive analytics is made possible by AI and ML algorithms, which enhance crop yield by foreseeing disease outbreaks and maximizing planting schedules. With sophisticated image processing, deep learning models (DL models) enable real-time monitoring of livestock and crops, providing detailed information for precision farming. Smart farming is being further enhanced by ChatGPT and other AI-driven conversational agents. These agents offer real-time advisory services, make it possible for farmers to communicate with AI tools using natural language, and streamline difficult tasks like supply chain management, market analysis, and crop selection. Future developments in smart farming include the integration of AI with IoT devices, blockchain technology for traceability, and improved edge computing capabilities to facilitate localized, real-time decision-making.
Artificial intelligence, machine learning, and deep learning for enhancing resilience in industry 4.0, 5.0, and society 5.0
Authors: Rane Nitin Liladhar , Kaya Ömer , Rane Jayesh
Published: October 2024

Industry 4.0, 5.0, as well as Society 5.0, is a period of the new era’s revolutions when artificial intelligence (AI), machine learning (ML), and deep learning (DL) become the tools of improving and ensuring resilience in different spheres. The current research focuses on the operation, urban, psychological, cyber, supply chain, and social resilience. Resilience is a powerful tool in the modern context, and AI-based systems help to build capacities and reduce negative impacts. Operational and production resilience can be achieved with the help of ML systems designed for predictive maintenance and anomaly detection. These tools allow reducing downtime, estimating changes properly, and making timely decisions to optimize the production process and increase the level of productivity. At the same time, cybersecurity applications become more sophisticated with the introduction of advanced ML technologies. In the context of supply chain resilience, AI and ML become essential parts of predictive analytics which enables to anticipate possible disruptions, manage logistics, and optimize quantities and loci of needed items. Smart manufacturing systems with AI make production processes more adaptive and flexible, which is crucial in the situation of current challenges. Society 5.0 cannot exist without social resilience, and it is realized with the help of AI, for example, in managing strategies aimed at disaster management, healthcare, or designing cities. Real-time data analytics and innovative intelligent systems can be developed with the help of AI even in those spheres where human intervention has always been considered crucial. In addition, DL helps to design autonomous systems that are crucial for increasing resilience in transportation and logistics processes.
Advancing the Sustainable Development Goals (SDGs) through artificial intelligence, machine learning, and deep learning
Authors: Rane Nitin Liladhar , Kaya Ömer , Rane Jayesh
Published: October 2024

The use of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) significantly has the touch of transformational potential towards bringing the Sustainable Development Goals (SDGs) to be addressed in various industries. This research investigates the new developments and applications of these technologies in advancing sustainability programs in industry-intensive domains. Industries are beginning to undergo a major change by making today with the help of AI, ML, and DL that resources can be optimized, energy efficiency can be improved, and environmental impacts can be mitigated. A number of other trends - including predictive analytics and intelligent automation, allow for smarter and more efficient production, waste minimization and circular economy practices. AI-powered solutions are also now being used in the energy sector to maximize the generation of renewable energy, optimize grid management, and aid in the transition to low carbon energy systems. This will enable industries achieve better environmental benefits and higher operational efficiencies through big data analytics and IoT. AI and ML are also crucial in smart cities, urban planning, public services that delivery efficiency and overall support the sustainability agenda. The results reinforce the importance of strong regulatory structures and interdisciplinary collaboration to optimally leverage AI, ML, and DL to the SDGs, which will be intrinsic to designing for resilience and sustainability.
Integrating internet of things, blockchain, and artificial intelligence techniques for intelligent industry solutions
Authors: Rane Nitin Liladhar , Kaya Ömer , Rane Jayesh
Published: October 2024

Integration of Internet of Things (IoT) and blockchain combined with the power of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming the sphere of smart industries, propagating a new era of boosted productivity, information assurance, and data-influenced deliberation. Our research looks into how these cutting-edge technologies flow together to enable smart industry breakthroughs. This offers conductive connectiveness and communication capabilities between devices and can create large pools of data, that are essential for making more informed decisions and finally, operating more sustainably. This data is then scaled and processed by the AI ML and DL algorithm to get the predictive insights; process optimization and to improve on automation. The security and immutability of data are critical in an IoT network, and this is something that blockchain technology excels at and ensures data exchanged within these networks is safe and unalterable. Thanks to recent developments in AI, ML, and DL, they can now better meet the challenges of industrial applications well beyond predictive maintenance and supply chain optimization and extend into real-time monitoring and autonomous operations. The perspective taken in this research is instead one of a practical, real-world implementations, illustrating some of the advantages as well as challenges when integrating these technologies. The results point to the enormous transformative capability of this integration and suggest a level of efficiency, security and innovation not seen before that will redefine intelligent industries today and possibly more importantly tomorrow, in effect defining the fourth industrial revolution and beyond.
Advancing industry 4.0, 5.0, and society 5.0 through generative artificial intelligence like ChatGPT
Authors: Rane Nitin Liladhar , Kaya Ömer , Rane Jayesh
Published: October 2024

The Industry 4.0, Industry 5.0, and Society 5.0 are increasingly advanced by generative artificial intelligence (AI) typified by models like ChatGPT. As the researchers have placed an emphasis on further upgrading industrial sector, it is Industry 4.0 - using sensors, Internet of Things (IoT), and AI to automate and optimize production, as well as cyber-physical systems to monitor physical processes - that best fits the current needs of industries. Generative AI can further enhance these systems by enabling real-time data analysis, predictive maintenance, and automated decision-making, leading to improved efficiency, reduced downtime and fostering more innovation in manufacturing. Generative AI plays a role in helping the industry transition to Industry 5.0 and the reinforcement among human-centric applications with shared workflow by humans and machines. It helps in customization of user experiences, intelligent decision support systems, and human-robot cooperation. In the paradigm of Society 5.0, that is a next stage super-smart society where digital and physical spaces are fused into one guaranteed reality, generative AI is the other half of creating a viable, healthy and comprehensive neighbourhood. Technology, powered by Natural Language Processing (NLP) and generative AI like ChatGPT, facilitates the advancement of human-cantered and sustainable practices that can help create a more efficient societies and industries.
Anxiety, Depression and Resilience among University Staff in Herat, Afghanistan – 2021
Authors: Faqiryar Rahim Bakhsh , Hanif Helena , Niazmand Mohammad Hakim , Najm Abdul Fattah , Niazi Aziz ur Rahman
Published: October 2024

AbstractAnxiety and depression are the two most common mental illnesses in the world. Multiple risk factors contributein developing anxiety and depression; the latter leading to suicide. The aim of this study is to identify theprevalence and associated factors of anxiety and depression, and assess their association with the level ofresilience among academic and non-academic staff of Herat University. This cross-sectional study wasconducted between November 1st and December 28th 2021. Sociodemographic data was collected using astructured questionnaire. Data on depression and anxiety was collected using the validated Dari version ofDASS-42 questionnaire. Data on resilience was obtained using the 10-item Connor-Davidson Resilience Scale(CD-RICS-10). Statistical analyses were performed in IBM SPSS Statistics (version 27). A total of 210university staff including 154 (73.3%) male and 56 (26.7%) female, with a mean age of 37.67 ± 9.62 years wereincluded in the study. Of All participant in this study, 58.6% and 54.8% had anxiety and depression,respectively. There was a significant association between resilience with depression and anxiety. A significantassociation was found between depression, anxiety and resilience with economic status, general healthcondition, concern about food shortage, losing house, and losing job. While no significant association was foundbetween depression, anxiety and resilience with gender, marital status, and losing family member in childhood.The prevalence of mental illnesses is considerably high among Herat University staff. The leadership of HeratUniversity and public health authorities should implement strategies to tackle this important public healthchallenge.
Serious Games for Serious Business: Unravelling Trends and Distribution Dynamics
Authors: Calza-Perez Mauro , Martinez-Climent Carla , Agulló-Marco Alvaro
Published: October 2024

Objective: To analyse the impact and applications of Serious Games in the corporate realm, evaluating both benefits and challenges associated with their adoption.
Methodology: A literature review is conducted through a descriptive bibliometric analysis. The distribution of publications and citations of studies by year, affiliations and authors with the highest productivity rate, and most cited articles are analysed.
Results: A marked increase in publications on Serious Games is observed, indicating a growing interest in research. Citation analysis shows an upward trend, with the year 2022 standing out as the most prolific. INRAE and Wageningen University Research are leading institutions in this field, and prominent authors include Mayer, Dumont, and Russell-Bennett.
Limitations: There is potential bias in article selection and a narrow focus on the benefits and challenges of Serious Games in enterprises, overlooking long-term sustainability. This could be addressed by comparing the effectiveness of Serious Games in employee training versus customer interaction and evaluating their applicability across different sectors.
Practical implications: Serious Games are useful for simulating business creation, developing entrepreneurial skills through a playful approach, as well as citizen decision-making and its impact on carbon emissions. In the tourism sector, the effectiveness of gamification through Serious Games is evidenced by increased brand loyalty. The article provides an understanding of the landscape of Serious Games and their implementation in companies across different sectors. It observes the practical implications of this learning tool and its interaction with consumers, to enhance their experience.
What are the drivers behind Portuguese companies’ reporting on sustainable development goals?
Authors: Loureiro Alice , Monteiro Sónia , Aibar-Guzmán Beatriz , Ribeiro Verónica , Lemos Kátia
Published: October 2024

Objective: This study explores how large Portuguese companies have started to integrate the SDGs into their non-financial reporting practices, and analyses some potential drivers of SDG reporting.
Methodology: Standalone non-financial reports were collected from 2016 to 2022, resulting in a total of 161 reports from 41 companies. Through a content analysis of the non-financial reports, an index was developed to measure the level of SDG disclosure.
Results: The results show that there is an increasing trend of reporting on the SDGs among large Portuguese companies, albeit at a slow and modest pace, mainly through sustainability reports. On average, Portuguese companies disclose on half of the 17 SDGs. In terms of the determinants of SDG reporting, listing, industry, adherence to the GRI framework and external assurance of reports by a Big4 firm were found to be determinants of SDG disclosure in our sample. Contrary to our expectations, ISO certification, sustainability committee and extended reporting are not significantly associated with the level of SDG disclosure by large Portuguese companies.
Limitations: Our study has limitations, notably a small sample size. The SDG disclosure index we used only indicates whether information on SDGs is disclosed, without assessing content extent or quality, potentially limiting stakeholder value.
Practical implications: Companies aiming to improve SDG disclosure should consider adopting the GRI framework or seeking assurance from a Big 4 firm. Additionally, regulators could use our findings when designing policies aimed at enhancing SDG reporting.
Keywords: Sustainable Development Goals, 2030 Agenda, sustainability reporting, SDG reporting, Portugal.