bluuebunny/crossref_metadata_2025 huggingface dataset:
Spiders in Thailand (SIT) via spiderthailand.info: Thailand spider data retrieval system for geographical occurrence and photographic identification
Authors: Petcharad Booppa , Into Thanakron , Tongman Sasiporn , Wattanakitrungroj Niwan , Dechpramualphol Nutthaphol , Jirakajohnkool Supet , Jeenthong Tadsanai
Published: April 2024

High biodiversity in the tropics is good for ecosystem services; however, challenges in taxonomy and identification usually come from such high biodiversity. Spiders are no exception to the challenges. Identifying spiders in tropical places like Thailand is difficult and time consuming. To reduce the difficulty of identifying Thai spiders, a data retrieval system for geographical occurrence and photographic identification was conducted to deploy on an online platform, Spiders in Thailand (SIT) via the website “spiderthailand.info”. This allows professional arachnologists and amateur spider lovers to visit and check the geographical distribution of Thai spiders and to quickly access pictures for comparative photographic identification. To facilitate Thai spider identification, there were two parts, the database and the website, which are connected to each other. Data of Thai spiders were extracted from the World Spider Catalog to build a database comprising geographical occurrence and pictures of spider species in Thailand. The database was then linked with the website to display data.

The dataset of pictures and illustrations extracted from taxonomic literature of the World Spider Catalog were included in the database for connecting with the online platform, Spiders in Thailand (SIT) via the website “spiderthailand.info” which facilitated access to pictures and illustrations, expediting the identification of Thai spider specimens. Geographical occurrences of Thai spiders consisted of 1419 records belonging to 670 species of 228 genera and 50 families. Amongst those, 461 species from 133 genera of 41 families were distributed only in Thailand. Around Thailand, 756 geographical localities were reported for spider occurrences. From 76 provinces and one additional special administrative area (Bangkok), 58 provinces showed occurrence records of spiders and 18 provinces showed non-occurrence records. Those provinces of non-occurrence records of spiders were Amnat Charoen, Ang Thong, Bueng Kan, Chai Nat, Maha Sarakham, Mukdahan, Nakhon Phanom, Nong Bua Lam Phu, Nonthaburi, Phayao, Phichit, Phra Nakhon Si Ayutthaya, Samut Prakan, Samut Sakhon, Si Sa Ket, Sing Buri, Uthai Thani and Yasothon. Most spiders were reported from Chiang Mai Province.
La recomposition du secteur minier artisanal au Cameroun : contestation et négociation de l’accès dans les sites d’extraction de l’or dans les municipalités de Bétaré-Oya et Batouri
Authors: Ottou Merlin
Published: April 2024

Au Cameroun, la réforme de la politique minière par l’État a favorisé l’essor de l’exploitation minière artisanale. Cet article analyse la reconfiguration des rapports de pouvoir dans les sites de production avec l’arrivée des compagnies étrangères. Il montre que les agents sécuritaires des entreprises minières contrôlent l’accès des artisans à la ressource à travers l’imposition d’une «  taxe  » et des arrangements négociés. L’étude montre également que les acteurs locaux mobilisent des moyens juridiques dans la revendication de la reconnaissance de leur droit d’exploiter les résidus miniers.
Exploitation minière industrielle au prisme du développement rural de la commune de Bagassi au Burkina Faso : la rançon du succès
Authors: Yonli Taladi Narcisse , Kini Albert
Published: April 2024

L’objectif de cette étude est de saisir les répercussions de la production minière de la société Roxgold sur les conditions de vie des habitants dans la commune rurale de Bagassi au Burkina Faso. Elle a été conduite à partir d’une méthode qualitative par entretiens semi-directifs avec les populations impactées par l’exploitation minière (déplacées et relocalisées), les autorités coutumières et administratives, des responsables des organisations de la société civile, les conseillers villageois et les conseillers municipaux. La relation entre le bien-être des populations rurales et la production minière industrielle n’est pas établie. À Bagassi, en dépit de l’application effective de la responsabilité sociale des entreprises (RSE) par la société minière industrielle Roxgol, les populations ne sont pas satisfaites de leur condition de vie. La production minière industrielle consomme des terres agricoles et a mis fin à l’orpaillage considéré comme plus rentable par les populations qui se plaignent d’une dégradation de leur condition d’existence et se disent vulnérables et peu résilientes face à l’insécurité alimentaire. En définitive, l’or profite surtout aux sociétés minières, à l’État et peut-être aux communes.
Justice (re)distributive autour d’une mine aurifère au Mali : entre légalité et équité, la recherche d’un compromis
Authors: Adanhounme Armel Brice , Traoré Adama Ouayiribé
Published: April 2024

Cet article vise à comprendre, pour les résoudre, les conflits dans la répartition des ressources allouées aux communautés locales autour d’une mine, lorsque les gestionnaires s’engagent dans une démarche partenariale de développement. À rebours des règles de partage équitable des ressources souvent définies dans le cadre formel étatique, cette étude de cas, dans une mine de propriété canadienne au Mali, montre qu’un compromis négocié par les collectifs locaux, sur la base de la satisfaction des besoins de toutes les parties prenantes, peut être porteur d’un nouvel ordre social dans lequel la justice distributive favorise l’inclusion.
La démocratie menacée par le terrorisme dans les États du Sahel
Authors: Ouedraogo Djibrihina
Published: April 2024

La construction de la démocratie en Afrique connaît de nombreux écueils dont la plupart sont devenus classiques (fraude électorale, élection non exclusive, confiscation et patrimonialisation du pouvoir). Désormais, l’expansion de la menace terroriste dans les États du Sahel (Burkina Faso, Mali, Niger, Tchad) contribue à enrayer des processus déjà fragiles. Comme en témoigne la résurgence des coups d’État depuis 2020 qui ont été bien accueillis par des populations convaincus que seuls les hommes en treillis pouvaient sauvegarder la nation, menacée dans sa survie par la gangrène terroriste. L’armée prend en otage les institutions de la démocratie et sa prise du pouvoir ne comporte pas le gage d’un retour rapide à l’ordre constitutionnel.
Le vocabulaire latin de la vision aux xi e et xii e siècles : L’influence des traductions depuis le grec et l’arabe
Authors: Dufossé Colette
Published: April 2024

Dans la première moitié du xii e siècle, les chartrains créent un lexique spécialisé pour l’optique en sélectionnant des termes sans connotation théologique et en leur ajoutant un sens géométrique. Grâce à Constantin l’Africain, ils y intègrent l’ophtalmologie. Alors que ce lexique est utilisé par les traducteurs gréco-latins, les traducteurs arabo-latins, à l’exception de l’Émir Eugène de Sicile, ignorent largement ces spécialisations sémantiques. L’hétérogénéité des choix des traducteurs réintroduit ainsi une incertitude lexicale qui nécessite une clarification des concepts et une sélection des termes. Dépendant de l’évolution générale du lexique philosophique, la fixation du vocabulaire de l’optique est loin d’être achevée à la fin du siècle.
De Angelo Perdito by Gilbert Crispin. An Interpretation of Sections 64-82 and a Proposal for its Apparatus Fontium
Authors: Jakubecki Natalia
Published: April 2024

Cet article poursuit un triple objectif : en premier lieu, compléter, dans la mesure du possible, l’ apparatus fontium correspondant aux sections 64-82 de l’édition critique du De angelo perdito de Gilbert Crispin ; ensuite, expliquer son contenu ; enfin, contribuer à une meilleure compréhension du corpus crispinien, en proposant, en regard de l’historiographie traditionnelle, une interprétation visant à réévaluer l’influence des Pères de l’Église en général et celle d’Anselme de Cantorbéry en particulier.
Socrates’ fire ». Remarks on a reading in Aquinas’ autograph of Super De Trinitate , q. 5, a. 38
Authors: Quartucci Alfonso
Published: April 2024

Dans la discussion sur l’abstraction ( Super De Trinitate, q. 5, a. 3), Thomas d’Aquin donne quatre exemples de parties constitutives de l’homme. L’un de ces exemples, tel qu’il apparaît dans l’autographe de Thomas, serait « ce feu » ; toutefois cette variante n’est pas retenue dans l’édition léonine, qui opte plutôt pour la conjecture « cet ongle ». J. F. Wippel a récemment proposé de garder la variante « ce feu » ; le présent article vise à corroborer la proposition de Wippel.
Bernard of Kraiburg’s Letters and Sermons. A portrait of austrian humanism in mid-15 th century
Authors: Fiamma Andrea
Published: April 2024

L’article brosse un portrait de l’humanisme en Autriche au milieu du xv e siècle à travers l’analyse des lettres et des sermons, encore inédits, de Bernard de Kraiburg († 1477), évêque de Chiemsee, collaborateur de Nicolas de Cues et de Enea S. Piccolomini et détenteur d’une extraordinaire bibliothèque personnelle. La production de Bernard aide à comprendre la triangulation culturelle entre l’enseignement universitaire à Vienne (Thomas Ebendorfer), la tradition spirituelle bénédictine (Bernard de Waging) mise à l’épreuve par la réforme de Melk (Jean Schlitpacher) et les débats issus dans les récents conciles à Constance et Bâle. Se dessine un humanisme autrichien, caractérisé par l’influence de l’humanisme padouen (en particulier de Pétrarque), par une tentative de retour à la théologie du xii e siècle et par une ouverture spirituelle au mysticisme.
Guiral Ot : l’être avant l’être. In secundum librum Sententiarum, d. 1, pars 1, q. 2
Authors: Boulnois Olivier , Schabel Chris
Published: April 2024

Dans cette question sur le livre II des Sentences, Guiral Ot demande si la créature, avant sa création, a un être propre, distinct de celui du Créateur : d’une part, Dieu crée ex nihilo ; avant la création, il n’y a donc rien, hormis Dieu ; d’autre part, Dieu connaît et veut de toute éternité ce qu’il produira avant de le produire ; les créatures ont bien un être-connu et un être-voulu en Dieu. Pour répondre à cette difficulté, Duns Scot avait admis un être possible et un être relatif des créatures dans la pensée divine. Mais, avec plus de subtilité encore, Guiral Ot aperçoit neuf manières pour les choses d’être dans la pensée divine avant d’être créées. C’est le déploiement de ces modes d’être ainsi que leur articulation que nous révèle l’édition de cette question.
La cartographie au défi de Google Maps
Authors: Baraud-Serfat Isabelle
Published: April 2024

La représentation de l’espace géographique a toujours fait l’objet de discussions et controverses : suivant la perspective ou le type de projection adoptée, la carte obtenue varie grandement. De même, suivant la position centrale choisie sur un planisphère pour donner à voir un environnement géographique, on ne met pas en valeur les mêmes lieux et ressources. À ceci s’ajoutent désormais les fonctionnalités offertes par diverses plates-formes et entreprises du numérique, et leur capacité à prendre le pas sur les cartes (routières, de villes…) auxquelles les usagers de l’espace public étaient jusqu’ici habitués. Quels sont aujourd’hui les éléments qui guident la cartographie en ligne qui supplante de plus en plus massivement la cartographie papier, et que révèlent-ils des biais et des évolutions possibles de nos représentations de l’espace ? La prédominance des géants du numérique (en particulier Google) va-t-elle déboucher sur des cartes personnalisées, adaptées à nos préférences exprimées ou espionnées, ne permettant plus de représentation commune, voire largement guidées par des approches marchandes ? Dans cette tribune, Isabelle Baraud-Serfaty montre comment la cartographie, qui est un instrument de pouvoir, est aujourd’hui bouleversée par de nouveaux acteurs privés et leurs applications numériques, et les questions que cela soulève à moyen-long terme.  S.D.
La demande de métaux critiques liés à la mobilité électrique
Authors: Lamblin Véronique
Published: April 2024

La transition écologique et les objectifs de neutralité climatique ont rendu incontournable l’évolution vers la mobilité électrique — via notamment l’abandon programmé de la vente des véhicules thermiques neufs d’ici 2035 en Europe. Toutefois, deux études récentes soulignent l’impact du basculement vers un parc automobile tout-électrique sur la demande de métaux critiques — des matériaux pour lesquels la France comme l’Europe dépendent largement d’approvisionnements étrangers (principalement chinois). Elles présentent toutes les deux divers scénarios d’évolution de cette demande de métaux critiques, et leurs conclusions convergent : on ne pourra pas réussir une transition soutenable vers la mobilité électrique sans un accroissement de la sobriété, qu’il s’agisse de la taille des véhicules, de la puissance des batteries, de l’intensité d’utilisation des véhicules… S.D.
Motiver la population à se protéger : le cas du premier confinement en France
Authors: Laporte Marie-Ève , Berger-Remy Fabienne
Published: April 2024

Cette recherche mobilise le modèle de la gestion de la peur en santé pour étudier la portée et les limites du recours au couple menace-solution dans la communication publique en temps de crise et pour identifier des leviers susceptibles de favoriser des comportements appropriés, en étudiant le cas extrême du premier confinement (mars – mai 2020) en France. Une étude qualitative a été menée pendant le premier confinement en France, au moyen d’une phase exploratoire d’observation de conversations en ligne, puis de 17 entretiens semi-directifs de citoyens. Les résultats montrent que la communication gouvernementale a incité une partie des personnes à respecter le confinement, en s’appuyant sur un discours classiquement utilisé en santé publique qui consiste à agiter la menace et à proposer la solution. Cependant, cette communication a montré des limites et conduit un certain nombre de personnes à mobiliser d’autres ressources : la communauté de destin et un rapport apaisé à la mort. Cette recherche remet en cause la pérennité d’une approche qui repose uniquement sur l’activation de défenses proximales et montre l’intérêt de l’activation des défenses distales en temps de crise. Sur un plan théorique, elle offre ainsi une compréhension approfondie du fonctionnement des défenses distales. Sur un plan managérial, elle propose de nouvelles pistes pour l’action et la communication publique de crise : après la réponse immédiate, la communication doit aider les individus à reprendre le contrôle, se montrer agile et différenciée selon les individus et associer les collectivités territoriales et plus largement les acteurs des territoires.
L’instrumentalisation de la transparence : les jeux de pouvoirs lors de l’implémentation de l’intelligence artificielle
Authors: Lissillour Raphael , Monod Emmanuel
Published: April 2024

La transparence organisationnelle est souvent perçue comme synonyme de plus d’équité et facteur de performance. En parallèle, malgré le faible taux de réussite de sa mise en œuvre, la diffusion de l’intelligence artificielle (IA) et son intégration dans les outils sont considérées comme des avancées technologiques permettant plus de transparence au sein des entreprises. Comment la notion de transparence est-elle impliquée, voire instrumentalisée, lors de la mise en œuvre de l’IA  ? Pour répondre à cette question animant notre recherche, nous mobilisons la théorie de la pratique de Bourdieu afin de conceptualiser la transparence comme une pratique située dans des champs de pouvoir caractérisés par une répartition inégale de différents types de capitaux. Dans cette étude, nous cherchons à révéler les pratiques associées à la mise en œuvre de l’IA dans les équipes en charge de la relation client. Sur la base de deux études de cas, nous discutons des discordances entre la rhétorique initiale qui a soutenu la mise en œuvre de l’IA et ses conséquences sur le terrain. L’analyse met l’accent sur les jeux et transferts de pouvoir dans l’organisation et sur les types de transparence promus par l’IA. Les résultats montrent que si l’implémentation a été justifiée par une transparence fondée sur une plus grande visibilité des processus et sur la révélation de données nouvelles – deux dimensions qui visent à supporter le travail des utilisateurs, elle peut in fine être vue comme un moyen d’accroître la capacité de contrôle et de surveillance de leur travail.
TOPSIS method based on q-rung orthopair picture fuzzy soft environment and its application in the context of green supply chain management
Authors: Ali Sumbal , Ali Asad , Azim Ahmad Bin , Khan Abdul Samad , Awwad Fuad A. , Ismail Emad A. A.
Published: April 2024

Green supplier selection has been an important technique for environmental sustainability and reducing the harm of ecosystems. In the current climate, green supply chain management (GSCM) is imperative for maintaining environmental compliance and commercial growth. To handle the change related to environmental concern and how the company manages and operates, they are integrated the GSCM into traditional supplier selection process. The main aims of this study were to outline both traditional and environmental criteria for selecting suppliers, providing a comprehensive framework to assist decision-maker in prioritizing green supplier effectively. In order to address issue to simulate decision-making problems and manage inaccurate data. A useful technique of fuzzy set was proposed to handle uncertainty in various real-life problems, but all types of data could not be handled such as incomplete and indeterminate. However, several extensions of fuzzy set were considered, such as intuitionistic fuzzy set, Pythagorean fuzzy set, q-rung orthopair fuzzy set, and q-rung orthopair fuzzy soft set considering membership and nonmember ship grade to handle the uncertainty problem. However, there was a lack of information about the neutral degree and parameterization axioms lifted by existing approaches, so to fill this gap and overcome the difficulties Ali et al. proposed a generalized structure by combining the structure of picture fuzzy set and q-rung orthopair fuzzy soft set, known as q-rung orthopair picture fuzzy soft sets, characterized by positive, neutral and negative membership degree with parameterization tools and aggregation operator to solve the multi criteria group decision-making problem. Additionally, the TOPSIS method is a widely utilized to assist individuals and organizations in selecting the most appropriate option from a range of choices, taking into account various criteria. Finally, we demonstrate an illustrative example related to GSCM to enhance competitiveness, based on criteria both in general and with a focus on environmental consideration, accompanied by an algorithm and flow chart.
An iterative approach for the solution of fully fuzzy linear fractional programming problems via fuzzy multi-objective optimization
Authors: Bas Sema Akin , Ozkok Beyza Ahlatcioglu
Published: April 2024

The primary goal of optimization theory is to formulate solutions for real-life challenges that play a fundamental role in our daily lives. One of the most significant issues within this framework is the Linear Fractional Programming Problem (LFrPP). In practical situations, such as production planning and financial decision-making, it is often feasible to express objectives as a ratio of two distinct objectives. To enhance the efficacy of these problems in representing real-world scenarios, it is reasonable to utilize fuzzy sets for expressing variables and parameters. In this research, we have worked on the Fully Fuzzy Linear Fractional Linear Programming Problem (FFLFrLPP). In our approach to problem-solving, we simplified the intricate structure of the FFLFrLPP into a crisp Linear Programming Problem (LPP) while accommodating the inherent fuzziness. Notably, unlike literature, our proposed technique avoided variable transformation, which is highly competitive in addressing fuzzy-based problems. Our methodology also distinguishes itself from the literature in preserving fuzziness throughout the process, from problem formulation to solution. In this study, we conducted a rigorous evaluation of our proposed methodology by applying it to a selection of numerical examples and production problems sourced from the existing literature. Our findings revealed significant improvements in performance when compared to established solution approaches. Additionally, we presented comprehensive statistical analyses showcasing the robustness and effectiveness of our algorithms when addressing large-scale problem instances. This research underscores the innovative contributions of our methods to the field, further advancing the state-of-the-art in problem-solving techniques.
Conditional macroeconomic and stock market volatility under regime switching: Empirical evidence from Africa
Authors: Agyemang-Badu Albert A. , Olmedo Fernando Gallardo , Márquez José María Mella
Published: April 2024

We used the Markov switching regression model to establish a relationship between the conditional stock market returns and macroeconomic volatilities. Monthly data from thirteen (13) African stock markets and macroeconomic variables (exchange rate, inflation, interest rate, money supply, and crude oil price) from 2003 to 2022 were employed. We confirmed the existence of two distinct regimes: An economic expansion or a "tranquil" state with less volatility and an economic decline or a "crisis" state with high volatility. Our findings indicated that macroeconomic variables significantly affect both expansion and crisis periods. However, the estimated coefficients were more significant in a tranquil than in a crisis state. The findings of the study were consistent with macroeconomic theory and pointed out policy implications.
Globalization and Heterogeneity: Locating the Malaysian Indie Game Production Culture
Authors: Wong K.T.
Published: April 2024

This article examines how globalization has enabled the emergence of a heterogeneous game production environment within the nascent Malaysian videogame industry. In this context, heterogeneity refers to the quality or state of a game production environment that allows for dissimilar productions or production routes. To this end, I contrast three high-profile indie games representative of the Malaysian videogame industry, namely Re:Legend (Magnus Games, 2019 [early access]), No Straight Roads (Metronomik, 2020), and Bake ‘n Switch (Streamline Games, 2020). Specifically, I juxtapose these three titles—including their production histories, their game designs, and the corporate histories of their developers—to reveal how these factors have shaped their developmental pathways, highly distinctive from each other despite the shared Malaysian root of these games, against the backdrop of an increasingly interconnected globalized videogame workforce.
"Small States": a Theme in icelandic Political Science and Politics
Authors: Bailes Alyson JK , Thorhallsson Baldur
Published: April 2024

Le thème des « petits États » a été développé par les Islandais à la fois dans la recherche et dans le débat politique afin de construire leur identité et de défendre leurs intérêts sur la scène internationale. Après avoir évoqué le cadre général de l’étude des petits Etats en science politique, cet article montrera pourquoi et comment elle s’est développée en Islande. Il montrera également des exemples de l’utilisation du discours sur la « petitesse » par les hommes politiques, avant et après le krach de 2008. Puis il se terminera par une réflexion sur l’interaction entre la vie politique et la recherche et par une évocation de nouveaux thèmes potentiels et de défis que les spécialistes des petits Etats auront à affronter dans le futur.
Alva Myrdal, de l’ingénierie sociale aux négociations sur le désarmement nucléaire
Authors: Hultqvist Sara , Ledoux Clémence , Melin-Emilsson Ulla
Published: April 2024

Architecte du modèle d’État providence nordique, détentrice du prix Nobel de la paix, Alva Myrdal a été l’un des personnages clefs de l’histoire politique du XXe siècle en Suède. Étonnamment, ses contributions à la politique internationale sont beaucoup moins connues. Ayant été l’une des premières femmes ambassadrices de Suède, elle a avancé des idées innovantes sur le développement social au service de l’égalité entre les peuples. Représentant la Suède dans les négociations sur le désarmement pendant la guerre froide, elle a joué un rôle crucial pour introduire des solutions non conventionnelles, alors que la situation semblait être gelée et les deux superpuissances incapables de parvenir à un accord. Son engagement contre les armes nucléaires et pour la paix lui valut le prix Nobel en 1982. L’objectif de cet article est d’analyser l’ouverture contemporaine de la Suède à l’international à travers la trajectoire d’Alva Myrdal et de montrer les points de continuité entre les positions qu’elle a défendues en politiques intérieure et extérieure. Cet article biographique se concentre bien plus sur la seconde période de la vie d’Alva Myrdal que sur sa contribution initiale à l’édification de l’État providence.
Strategic Information Governance Review
Authors: Merlo Tereza Raquel
Published: April 2024

This book chapter, “Strategic Information Governance: Optimizing Business Operations, Business Intelligence, and Data Management,” explores the dynamic intersection of information governance and organizational functionality. Grounded in an exhaustive literature review, it guides businesses in enhancing operations, fortifying business intelligence, and refining data management. From principles to practical applications, the chapter emphasizes the symbiotic relationship between information governance and business operations. It provides actionable insights, empowering businesses to strategically leverage information governance for optimized processes. Addressing the evolving data landscape, it offers proven strategies for aligning governance with efficient data practices, ensuring compliance, security, and accessibility. This chapter is an indispensable resource for decision-makers, providing a comprehensive guide for organizations navigating the complexities of strategic information governance in today's dynamic business environment.
Navigating the Legal Landscape of Information Governance
Authors: Singh Hemendra
Published: April 2024

There has been a massive increase in information volume in the modern business environment. This means that it has become very important to understand the complex relationship between information governance and the legal framework. This chapter aims to explore the various dimensions that define this intersection. It provides a comprehensive examination of general data protection regulation as a global legal framework for information governance. It also examines sector specific regulations, legal implications of information management and real-world cases to see how organizations can proactively address the legal dimensions of information governance. By exploring different dimensions of this intersection, this chapter serves as a strategic guide for organizations that want to strengthen their information governance frameworks.
Intelligent Charging Methods for Electric Vehicles
Authors: Degla Aicha
Published: April 2024

This chapter examines electric vehicles (EVs) and their charging systems, focusing on contemporary infrastructure effectiveness. It explores hybrid vehicle architectures and recharging technologies, categorizing them into traditional and autonomous chargers. The following research examines photovoltaic and wireless charging systems, electronic components, and a simple management cycle for uninterrupted operation. This chapter proposes that extensive modelling and simulation studies utilising the MATLAB/Simulink programme are conducted to evaluate the energetic performance of an electric vehicle fitted with hybrid recharge equipment.
Fostering Manager-Employee Relationships in the Era of Remote Work
Authors: Minz Nitish Kumar
Published: April 2024

Amid the global COVID-19 pandemic, remote work has emerged as a transformative influence, fundamentally altering organizational dynamics. This research explores the critical need to cultivate robust manager-employee relationships in the realm of remote work. Tackling challenges of communication, teamwork, and sustaining employee engagement, the study examines diverse methodologies and best practices transcending physical distances. Drawing insights from relevant literature, real-world case studies, and practical experiences, it contributes to a holistic understanding of the evolving landscape of remote work. Emphasizing the importance of nurturing connections, assessing the evolving managerial role, and recognizing the central role of technology, the research aims to empower organizations with insights and strategies to fortify manager-employee relationships, ultimately enhancing productivity, job satisfaction, and overall team performance in the era of remote work.
Future Trends in ICT and E-Services Through Advanced Assessment Metrics
Authors: Pitchai R. , Krishna Kumari R. , Satheesh Kumar S. , Raja L. , Sujatha R. , Sudhakar M.
Published: April 2024

In the ever-evolving digital landscape, the integration of artificial intelligence (AI) into information and communication technology (ICT) and e-services is paramount. This chapter delves into the profound influence of AI on user experience, security, and scalability within digital services. It sheds light on both the hurdles and prospects presented by AI-driven strategies, underscoring the importance of adopting a holistic approach that encompasses technical, ethical, and regulatory dimensions. By offering valuable insights, this chapter guides organizations seeking to harness AI's capabilities in digital services, stressing the significance of a thorough and inclusive strategy.
Comparative Analysis of Sustainable Urban Last-Mile Delivery Modes
Authors: Lingkon Hasibul Islam , Ali Syed Imran
Published: April 2024

Sustainability has become more critical in logistics and transportation, especially in last-mile delivery (LMD). Electronic vehicles (EVs), electronic(E)-bicycles, cargo bikes, and drones are alternative solutions to the existing internal combustion engine (ICE) vehicles that enable low environmental and economic impact. However, they may require a higher investment and have constraints like battery autonomy, small loading capacity, and higher electricity production to meet the demand. This chapter aims to explore the environmental and economic impact of electronic vehicles, as well as the operational challenges and barriers to achieving sustainability. Hence, a thorough literature review is necessary to understand the scholarly work in the area. The study employs the systematic literature review (SLR) to extract data from the Scopus database from 2019-2023. Thirty-two articles were reviewed. The descriptive and thematic analyses have identified the environmental, economic, and social components related to the distribution methods, delivery methods, and perceived sustainability.
Waste Governance and Sustainable Urban Logistics
Authors: Oğur Aysun Aygün , Penpecioğlu Mehmet , Penpecioğlu Sezen Savran
Published: April 2024

Waste management poses a multifaceted challenge, particularly in metropolitan areas, where complex processes of waste collection, transfer, and disposal unfold. The increasing environmental and waste challenges in urban areas necessitate a thorough investigation of waste management through the lenses of reverse logistics and sustainable urban logistics paradigms. This chapter delves into the realm of sustainable urban logistics within the framework of waste governance, emphasizing the perspective of environmental justice. Izmir's solid waste governance, considered an unsuccessful case in sustainable urban logistics, is critically analysed. The chapter examines the unsustainable urban logistics in waste governance, emphasizing resulting injustices and socio-environmental risks. Employing a mixed-methods approach with quantitative, qualitative, and geographical data, the study highlights the environmentally, socially, and economically unsustainable facets of urban logistics, presenting a distinctive example through the lenses of environmental justice and waste governance.
A Smart IoT Solution for Reducing Carbon Levels in Computer Labs Through Hanging Plant Pots
Authors: Amshakala K. , Mariammal  , Hemalatha  , Saveeth R.
Published: April 2024

As concerns about climate change and environmental sustainability continue to grow, the need for innovative solutions to reduce carbon emissions in various settings has become increasingly critical. This manuscript presents an IoT integrated system designed to address carbon emissions in computer laboratories by introducing an unconventional approach: placing plant pots as wall hangings inside these spaces. This unique system combines sensor technology, data analytics, and eco-friendly design principles to create a sustainable and efficient solution for mitigating carbon emissions within computer laboratories. The IoT integrated system is comprised of several key components, including environmental sensors to monitor air quality and CO2 levels, automated watering systems to ensure the health of the plants, and a central control unit that collects and analyzes data in real-time. This IoT integrated system represents a novel and practical approach to address carbon emissions in computer laboratories while promoting sustainability and well-being.
Future Perspective of Artificial Intelligence in Heathcare and Medical Treatments
Authors: Annamalai Thiyagarajan , Rajeswari K. , Sowmiya E. , Saranya A.
Published: April 2024

Artificial intelligence (AI) computer systems are widely employed in the field of medical sciences. The field of healthcare has witnessed the widespread utilization of artificial intelligence in various domains. These domains include patient diagnosis, research and development of drugs, improvement of physician-patient communication, transcription of medical documents (including prescriptions), and the provision of remote treatment to patients. Computer systems frequently demonstrate superior job execution efficiency compared to people. However, in the realm of medical sciences, contemporary computer algorithms have lately attained levels of accuracy that are comparable to those of human specialists. There is speculation among certain individuals that the total replacement of humans in specific professions within the field of medicine is inevitable in the future. The objective of this chapter is to examine the transformative impact of artificial intelligence in the field of medical research, specifically focusing on its role in medical diagnosis, treatment, and surgical procedures.
Essential + Technical Skills EnRiching the Community Through Changed Lives
Authors: Valdez Cristobal
Published: April 2024

Community college presidencies provide a multitude of complex and nuanced challenges. These honored positions also present incredible opportunities to effect positive change in the communities we serve. This chapter chronicles those opportunities fueled by a spirit of learning, hope for the unforeseen future and a commitment to social justice, equity, and belonging. The journey is illustrated through stories of growth, commitment, and courage to make decisions for the betterment of historically underrepresented groups in higher education to steward success for marginalized groups including people of color and second chance citizens and populations experiencing generational poverty, in short, changing lives. Through the utilization of trauma-informed/resilience-focused theory and practices, committed and representative leaders, we built a transformational program centered on cultural competence and the reregulation of the effects of trauma while infusing the universal human needs of belonging, independence, mastery, and generosity into participants' lives.
Junior to Community to Comprehensive
Authors: Nacco Stephen Damian
Published: April 2024

This chapter examines the three-stage development of today's community colleges through the lens of three community colleges that were founded during each stage of the community-college movement. Established in 1933 during the Great Depression, Union County Junior College would follow a unique pathway in the era of junior colleges. Union overcame a number of challenges in its progress toward becoming a community college. The next is Danville Area Community College, which was founded in 1946. Through the vision of its founding president, Danville epitomized the expanded mission that the Truman Commission identifies in its landmark 1947 report that coins the term, “community college.” As for the third stage in the community-college movement, the chapter examines the founding of Brookdale Community College in 1969. Born during an era of innovation, Brookdale embodied the expanded mission of a comprehensive community college.
Scaling Robot Intelligence With Cloud-Based Cloning Platforms
Authors: Gowda V. Dankan , Kadam Kirti Rahul , S. G. Suma , Bhopale Shrikant D. , Nithya R.
Published: April 2024

Robotics needs to be applied in many different areas which requires the existence of better-quality platforms whose performance and function can be refined. The cloud and robotic cloning in this chapter offer an innovative idea. As a result, utilizing the immense capabilities and scalability of cloud computing can only make robotic systems better and more capable in multi-robot cooperative scenarios. The chapter offers an outline of the theoretical foundations, advantages, possible concurrent applications, and future direction for cloud-based cloning platforms. By exploring the subject in depth, readers will discover how cloud-based cloning platforms can play the role of a major enabling factor making scaling up intelligence and capability possible as multi-robot systems open new frontiers for robotics.
Industry 4.0
Authors: Shah Imdad Ali , Jhanjhi N. Z. , Ujjan Raja Majid Ali
Published: April 2024

The primary objective of this chapter is to examine the AI applications for healthcare 4.0. Using a wide range of contemporary technologies, such as digitization, artificial intelligence, user response data (ergonomics), human psychology, the internet of things, machine learning, big data mining, and augmented reality, one of the great success stories of our day is healthcare. Worldwide life expectancy has increased due to the tremendous advancements in medical research. But when people live longer, healthcare systems must deal with more people needing their services, more money spent on them, and a staff that finds it more challenging to care for patients. A healthy, productive society depends heavily on the healthcare industry, making it one of the most critical industries in the larger big data environment. Artificial intelligence (AI), which builds on automation, has the potential to transform healthcare and assist in addressing some of the issues mentioned above. AI can support healthcare professionals, including physicians and nurses, in their day-to-day jobs. Artificial intelligence (AI) can improve patient outcomes by enhancing the quality of life and preventive care and producing more accurate diagnoses and treatment regimens. This book provides an overview of the most recent advancements in artificial intelligence (AI) applications in biomedicine, encompassing pharmaceutical processing, disease diagnosis, patient monitoring, biomedical information, and biomedical research. A summary of the most recent developments in the use of AI in healthcare is also provided, along with a road map for creating safe, dependable, and efficient AI systems and a discussion of potential future directions for AI-assisted healthcare systems. Numerous uses of AI exist in the medical field. Healthcare 4.0 has brought about a paradigm shift in the healthcare industry, drawing inspiration from Industry 4.0. Therefore, how the digital revolution in healthcare will affect the quality of medical care is still being determined. This study results will help the new researchers and healthcare institutions.
Smart Healthcare System in Industry 4.0
Authors: Fateh Sana , Sial Quratulain , Dar Saira Hyder , Shah Imdad Ali , Rani Aasma
Published: April 2024

The primary objective of this chapter is to provide a framework for smart healthcare in 5G and focus on requirements for an intelligent medical system design. Advancements in technology and Internet access have connected people to various devices that can interact with one another. Today, smart devices bridge the gaps in many fields, including medicine. Smart healthcare is transitioning from a specialist and a clinic approach to a more dispersed, patient-centred model. Technological developments have facilitated several technologically accelerated evolutions in the healthcare sector. 4G and other communications technologies are currently employed in healthcare for smart healthcare apps and services. These innovations are critical for smart healthcare services in the future. Several applications produce vast amounts of data in various formats and sizes as the healthcare business grows. Such diverse data necessitates unique considerations in terms of end-to-end. Current communication systems will need to help meet the demands of healthcare applications that are dynamic and time sensitive. As a result, 5G infrastructures are being conceived. 5G-enabled smart healthcare systems are a conglomeration of IoT strategies that demand efficiency from the system. Current IoT networking solutions confront difficulties such as supporting many gadgets, standardization, and safety. It gives a complete assessment of the 5G-supported smart healthcare requirements in society 4.0.
Applications of Parallel Data Processing for Biomedical Imaging
Authors: Sharma Sheelesh Kumar , Dixit Ram Jee
Published: April 2024

This Chapter explores the use of parallel data processing in biomedical imaging to improve diagnostic performance, reduce processing times, and enable prompt decision-making in clinical settings. It examines imaging modalities like CT, MRI, ... etc and how parallel data processing algorithms enable quick reconstruction of high-resolution pictures. Parallel computing architectures like GPUs and multi-core CPUs are used to increase computational efficiency. Cluster computing and distributed computing are considered scalable solutions for large-scale biomedical imaging datasets. Parallelized adaptive algorithms speed up convergence of iterative reconstruction techniques, at the same time as parallel noise reduction techniques beautify photograph first-rate. The research concludes that parallel information processing is crucial for making better studies and patient care within the field of biomedical imaging and offers significant benefits in terms of speed, efficiency, and the capacity to handle large datasets.
Advancements in Big Data Analytics for Human Biology and Healthcare Services
Authors: Bhatt Chandradeep , Srivastava Sakaar , Kumar Indrajeet
Published: April 2024

. Big data analytics is rapidly emerging as a transformative force in the healthcare sector, promising to improve patient outcomes and simultaneously reduce costs. The digitisation of healthcare data has given rise to an unprecedented volume and variety of information, encompassing clinical records, patient details, machine-generated data, and even insights from social media. This wealth of data holds immense potential for various medical applications, such as clinical decision support, disease surveillance, and population health management. However, harnessing the power of big data in healthcare is no small feat, given the challenges posed by its sheer volume, diversity, and complexity.The future of healthcare undoubtedly lies in the hands of big data analytics, and embracing this technological shift is paramount for the continued advancement of the industry
Competitive Advantage in the Supply Chain With an Emphasis on Blockchain Technology
Authors: Vaseei Masoud , Agha Mohammadreza Nasiri Jan
Published: April 2024

With regard to the increasing number of international industries and integrated industries and the vertical and horizontal globalization of industries and the challenges that exist in this direction on the way of world trade, a lot of motivation has been created to share the different dimensions of the two fields of information technology and chain management. In this direction, steps should be taken to meet industrial needs and industrial technologies. Blockchain technology has been able to gain a high position in this regard in the opinion of industry managers and researchers in the world. Therefore, suitable opportunities for research and identification of operational applications have been provided. In this research, the development of blockchain-based global supply chains has been investigated and evaluated. Investing in blockchain is one of the most important tools for growing competitive advantage in process-oriented businesses with large financial flows in today's era.
Predictive Analysis of Machine Learning Algorithms Applicable for Natural Disaster Management
Authors: N. Nagarani , T. B. Ramji , A, R. Kishorelal
Published: April 2024

The escalating impact and frequency of natural disasters necessitate the development of robust predictive frameworks to proactively manage and mitigate their devastating consequences. ML techniques are used for the accurate forecasting of various natural disasters, such as earthquakes, floods, wildfires, hurricanes, and landslides, and these are thoroughly examined in this study. By harnessing historical data, environmental variables, and cutting-edge ML algorithms, this study meticulously assesses the efficacy of diverse techniques in forecasting and classifying these cataclysmic events. Through a comprehensive survey that scrutinizes the nuances of ML methods, random forest methods, support vector machines (SVM), neural networks, k-means clustering, Naive Bayes, reinforcement learning, and time series analysis models, the authors dissect their strengths and limitations in predicting specific types of natural disasters. Examining algorithms against actual real-world datasets offers valuable insights into the capabilities of each algorithm, shedding light on their capabilities to fortify early detection and warning systems. The research underscores the multifaceted challenges inherent in predicting natural disasters, emphasizing the paramount significance of high-quality, real-time data acquisition. This foundational aspect drives the iterative refinement of models, ensuring their adaptability to the dynamic and evolving environmental conditions that influence disaster occurrences. Furthermore, it emphasizes the pivotal role of interdisciplinary collaboration, emphasizing the fusion of domain expertise and technological advancements to bolster the resilience of predictive models. Ultimately, the culmination of these efforts aims to improve the precision and timeliness of disaster predictions, thereby fortifying comprehensive disaster preparedness and response strategies. To address the challenges associated with predicting and managing natural disasters, this article advocates for an all-encompassing strategy that integrates advanced machine learning techniques with ongoing data collection and expert perspectives.