bluuebunny/crossref_metadata_2025 huggingface dataset:
Ces deux start-up françaises qui s’attaquent à la recharge des véhicules électriques
Authors: Banchet Nicolas , Jacolin Sophie
Published: December 2023

Constatant que le développement de solutions de recharge pour les véhicules électriques est négligé, deux start-up françaises, Zeplug et ChargeGuru, décident de relever le défi. L’une propose des solutions adaptées aux copropriétés et aux entreprises, l’autre fédère un écosystème d’installateurs .
Raisonnement orthographique et dispositifs réflexifs : exemple de progression et de programmation en fin de primaire
Authors: Mauroux Florence , Durand Marie
Published: December 2023

L’article s’attache à mieux comprendre l’évolution des compétences orthographiques et métalinguistiques d’élèves de cycle 3 (de la 4 ème  primaire à la 1 ère  du collégial) sous l’effet de la mise en œuvre successive de quatre dispositifs réflexifs en orthographe, favorisant l’élaboration par les élèves de raisonnements orthographiques. Les résultats rendent compte de cette évolution. L’analyse des choix didactiques opérés pour mobiliser et développer ces compétences amène à proposer une progressivité de la démarche et une programmation annuelle de mise en œuvre de ces apprentissages réflexifs en orthographe, et ouvrant des perspectives en formation des enseignants.
Étayer la collaboration dans un dispositif d’enseignement de l’orthographe au cycle 3 de l’école et du collège
Authors: Fenoglio Prisca
Published: December 2023

L’étude caractérise, à partir d’un corpus vidéo, l’étayage d’un travail collaboratif orthographique dans cinq classes de cycle 3 (de la 4 ème  primaire à la 1 ère  du collégial) participant au dispositif Twictée. Dans les interventions observées, le renvoi à des outils de Twictée et à une correction proposée en amont, ainsi que l’identification des erreurs, sont priorisés sur la réflexion sur la procédure de résolution de problèmes ou le fonctionnement de la langue. Les résultats révèlent des difficultés didactiques qui pourraient être liées à la multiplicité des discours oraux ou à la mise en œuvre du contrat didactique au sein du dispositif.
Vigilance orthographique et réflexion sémantique au collège. Pour une relecture ciblée des verbes en révision de texte
Authors: Furman Agnès
Published: December 2023

Le dispositif didactique présenté a pour objectif d’habituer les élèves à porter leur attention sur les verbes à l’intérieur de la phrase, lors de la phase de relecture d’un texte. Mené avec des élèves de classe de Quatrième (3 ème  du collégial) en Réseau d’éducation prioritaire (plus), il comprend un axe portant sur l’activité d’écriture, un axe grammatical sur le métalangage et un axe sur le lexique. L’article montre des traces des réflexions portées par les élèves sur l’orthographe des formes verbales dans leurs textes, que ces formes soient normées ou non, et les types de correction effectués aux niveaux orthographique et lexical.
Regard sur les compétences linguistiques et métalinguistiques d’étudiants futurs enseignants : étude d’une séance de « correction négociée »
Authors: Ailhaud Émilie
Published: December 2023

Les activités métacognitives interactives, encouragées pour l’enseignement de l’orthographe, nécessitent un bon accompagnement des enseignants lors des interactions. L’article s’appuie sur les échanges d’étudiants de master Métiers de l’enseignement, de l’éducation et de la formation (MEEF) devant argumenter par petits groupes la correction d’un texte, pour interroger leur capacité à justifier les formes correctes. Il en ressort une bonne compétence à corriger le texte, notamment en s’appuyant sur des critères « esthétiques » et sur des manipulations linguistiques efficaces, mais des difficultés à utiliser un métalangage précis pour argumenter efficacement.
Qu’est-ce que digérer ? Métabolisme, gastro-nationalisme et reproduction sociale
Authors: Bentouhami-Molino Hourya
Published: December 2023

En réévaluant le concept de gastro-nationalisme, cet article se propose d’analyser l’incorporation, soit le fait pour un corps de se constituer comme tel selon des processus de digestion, d’assimilation et d’excrétion propres au métabolisme. Il s’appuie sur les discours et des logiques économiques, politiques qui ont prévalu à la constitution d’un paradigme métabolique aussi bien dans les sciences naturelles, bio-médicales, nutritionnelles qu’en philosophie au 19 e siècle et jusque dans la première moitié du 20 e siècle en Europe. À travers l’articulation de ces réseaux de signification portant sur les politiques de l’estomac, du foie, il s’agit de prendre au sérieux la matérialité de la spécificité gastrique et métabolique ainsi engagée dans la construction d’un imaginaire national, civilisationnel d’un corps sain, vigoureux, censé consolider la différence sexuelle, raciale et sociale de la nation dans ses entreprises coloniales. Dans quelle mesure en effet le renouvellement de la matière vivante des organismes humains relève-t-il autant d’une naturalité organique que d’une construction sociale pour laquelle l’attention à ce que l’on mange, à la manière dont on mange et avec qui, contribue à la fabrication de logiques d’oppression sociale ?
L’autre bataille : l’histoire de l’interprétation de la thèse aristotelicienne sur les futurs contingents
Authors: Zingano Marco
Published: December 2023

Cet article examine les deux thèses attribuées à Aristote depuis l’Antiquité à propos de la bataille navale dans le De interpretatione 9 : soit Aristote a résolu le problème du déterminisme dans ce chapitre en restreignant l’application du principe de bivalence, soit il a rejeté le déterminisme, en qualifiant la vérité ou la fausseté des propositions concernant les futurs contingents comme vérité ou fausseté indéfinies . On dit que la première est la réponse aristotélicienne traditionnelle , tandis que la seconde est parfois désignée comme l’autre solution . Cependant, quand on revisite nos principales sources sur cette question, la première réponse semble être la branche d’un dilemme dans lequel les Stoïciens ont poussé les Péripatéticiens, et ne peut pas en tant que telle figurer comme une solution au problème du déterminisme, tandis que la seconde est la solution que les Péripatéticiens ont trouvée comme solution au dilemme auquel ils étaient confrontés, et donc correspond premièrement au défi stoïcien et seulement secondairement au texte aristotélicien.
Présage ou coïncidence ? ΣΥΜΠΤΩΜΑ dans le traité de la divination dans le sommeil d’Aristote
Authors: Morel Pierre-Marie
Published: December 2023

Dans le traité De la divination dans le sommeil , Aristote entend réfuter la thèse d’une origine divine des rêves qui semblent annoncer les événements futurs. Pour cela, il ne se contente pas de soutenir une thèse différente. Il dénonce également la faiblesse épistémologique de la pratique divinatoire, en proposant un modèle scientifique alternatif : une méthode de classification des rêves et de division par épuisement, qui exclut les rêves inspirés. Cette méthode conduit à souligner le caractère irréductible des faits de hasard et à admettre le caractère inexplicable d’un grand nombre de rêves « véridiques ». La notion de coïncidence ( sumptôma ) joue sur ce point un rôle essentiel. Ce rôle est à la fois descriptif et critique : il permet de définir la classe des rêves dont la dimension véridique est absolument fortuite, et il dénonce l’illusion commune qui les relie à des événements réels. De ce point de vue, le chapitre 1 du De divinatione apporte une contribution, modeste mais spécifique, à la théorie des modalités physiques.
Time Is Survival: Continuing Education on Sepsis for Neurosurgical Critical Care Nurses
Authors: Rios Emily Marguerite , Breda Karen Lucas
Published: December 2023

Background:

Early identification of sepsis among neurosurgical critical care patients is a significant challenge because of the many possible confounding variables that lead to altered mental status in this specific patient population. Nurses' knowledge, attitudes, confidence, and practices related to the early identification and management of sepsis are crucial to patients' survival.

Method:

This evidence-based intervention project implemented continuing education for neurosurgical critical care nurses on the early signs and symptoms of sepsis and the management of sepsis according to the Surviving Sepsis Campaign (SSC) Guidelines.

Results:

Continuing education on sepsis increased neurosurgical critical care nurses' knowledge of the SSC 1-hour sepsis bundle, reported confidence in the management of sepsis, and likelihood of assessing for sepsis.

Conclusion:

Continuing education for neurosurgical critical care nurses on the signs and symptoms of sepsis and the SSC Guidelines is necessary and may improve patient outcomes.[J Contin Educ Nurs. 2024;55(5):224–230.]
An Examination of Occupation-Based, Client-Centered, Evidence-Based Occupational Therapy Practices in New Hampshire
Authors: Mulligan Shelley , White Barbara Prudhomme , Arthanat Sajay
Published: December 2023

This study surveyed occupational therapy practitioners to gain a better understanding of the nature of occupational therapy practices in the State of New Hampshire. A questionnaire was developed and distributed to a sample of practitioners working in New Hampshire to gather information regarding the extent to which occupation-based, client-centered, evidence-based services were being provided. Results suggested that practitioners highly value these service delivery attributes. However, day-to-day practice decisions regarding evaluation methods, where to conduct intervention sessions, goal writing, and choices of intervention activities suggest a stronger emphasis on the evaluation and remediation of specific performance skill and body function deficits, rather than on client performance of desired occupations. In light of the findings, the discrepancy between practitioner values and daily clinical practices is discussed, along with the challenges inherent in providing authentic, evidence-based occupational therapy.
Study on high-temperature performance evaluation of asphalt mixtures with anti-rutting additives
Authors: Tian Gang , Gao Ying , Chen Conglin , Ye Qin
Published: December 2023

In order to investigate the asphalt mixture enhancement due to the granular anti-rutting additives, the multiple stress creep recovery (MSCR) test and wheel tracking test were performed to examine the effects of three anti-rutting additives on the high-temperature performance of binders and mixtures, respectively. Further, the interaction mechanism between anti-rutting additives and asphalt binder was revealed via a fluorescence microscopy (FM) test. The results indicate that the incorporation of anti-rutting additives causes a substantial increase in elasticity behavior for binders, along with a massive enhancement of dynamic stability for mixtures. Further, the enhancement of performance is not conclusively determined by the compatibility between the additive and asphalt. Instead, unmelted viscous-flow additives contribute to the enhancement of mixtures by interlocking, filling voids, cementing and wrapping the aggregate, which are essential mechanisms of mixture modification. This study contributes to selecting appropriate additives in engineering and enhancing anti-rutting additives based on their modification mechanism.
Application of machine learning in quantitative timing model based on factor stock selection
Authors: Duan Yufei , Gu Xian-Ming , Lei Tingyu
Published: December 2023

In this paper, we integrated machine learning into the field of quantitative investment and established a set of automatic stock selection and investment timing models. Based on the validity test of factors, a multi-factor stock selection model was established to select stocks with the highest investment value to create a stock pool. By comparing the cumulative returns and the overall market returns of different timing signals over the same time period, both the decision tree and the long short-term memory (LSTM) models had great results. Finally, empirical research was reported to show that it is a good combination to introduce machine learning algorithms into quantitative timing.
Hypersurfaces in a Euclidean space with a Killing vector field
Authors: Guediri Mohammed , Deshmukh Sharief
Published: December 2023

An odd-dimensional sphere admits a killing vector field, induced by the transform of the unit normal by the complex structure of the ambiant Euclidean space. In this paper, we studied orientable hypersurfaces in a Euclidean space that admits a unit Killing vector field and finds two characterizations of odd-dimensional spheres. In the first result, we showed that a complete and simply connected hypersurface of Euclidean space $ \mathbb{R}^{n+1} $, $ n > 1 $ admits a unit Killing vector field $ \xi $ that leaves the shape operator $ S $ invariant and has sectional curvatures of plane sections containing $ \xi $ positive which satisfies $ S(\xi) = \alpha \xi $, $ \alpha $ mean curvature if, and only if, $ n = 2m-1 $, $ \alpha $ is constant and the hypersurface is isometric to the sphere $ S^{2m-1}(\alpha^2) $. Similarly, we found another characterization of the unit sphere $ S^2(\alpha^2) $ using the smooth function $ \sigma = g(S(\xi), \xi) $ on the hypersurface.
Guided mode resonances for angular and spectral filtering
Authors: Lukošiūnas Ignas , Nikitina Julianija , Gailevičius Darius , Grinevičiūtė Lina , Staliūnas Kęstutis
Published: December 2023

The development of devices based on compact waveguides is a rapidly evolving field. A unique variation of such devices is the Fano-like resonance dielectric spectral and spatial filtre, made from a dielectric conformal thin film on a surface relief grating. It can be used in a normal (or oblique) angle-of-incidence configuration. This device facilitates directional selectivity, which is useful for transverse-mode cleaning in short optical cavities. It can also be enhanced by using leaky-mode effects to produce even sharper spectral features. However, a perfect spatial filtre should be as invariant as possible in the spectral and enhanced angular domains. Here, we solved the inverse design problem to produce such an effect. Numerically, we tuned the surface profile of the substrate grating, assuming a conformal layer on top. This resulted in trapezoidal relief patterns followed by narrow flat-top angular features. The combination of leaky mode effect and enhanced device topology will enable efficient and useful devices with a bandwidth of 50 nm and even more in the future.
On nonparaxial single-pixel imaging of semitransparent objects using flat diffractive optics
Authors: Kizevičius Paulius , Orlov Sergej , Mundrys Karolis , Jukna Vytautas , Minkevičius Linas , Valušis Gintaras
Published: December 2023

High numerical apertures can result in distortions appearing in a single-shot image, rendering the acquisition of usable images challenging, if not outright impossible. However, in the realm of single-pixel imaging, various strategies can be employed to effectively inspect objects with an excellent resolution, contrast and brightness. Recent advancements in flat photonic components have facilitated the development of compact nonparaxial imaging systems, which show great promise, particularly in the THz range of wavelengths. These innovations hold the potential to advance fields such as communication, material inspection and spectroscopy. In this study, we delve into the imaging of semi-transparent objects with varying levels of detail. Furthermore, we introduce a nonparaxial design for a flat hyperbolical lens and evaluate its performance in these imaging scenarios, comparing it to structured illumination techniques involving Airy, Bessel, and common thin lens configurations. We present findings regarding potential improvements in imaging attributable to the nonparaxial hyperbolical lens.
Um suporte de época romana epigrafado e decorado com temática marcial em Viseu (Portugal)
Authors: Redentor Armando , Cardoso Carvalho Pedro , S. Carvalho Pedro , Beja e Costa Maria de Fátima
Published: December 2023

El objetivo principal de este texto es la presentación de un hallazgo epigráfico realizado en la ciudad de Viseu (Portugal) que, en la antigüedad, fue una de las capitales de ciuitas del norte de la Lusitania. La pieza en cuestión es una estela que se encontraba reutilizada en un edificio de época contemporánea y que destaca tanto por su decoración, al incluir la representación (incompleta) de un guerrero, como por las peculiaridades lingüísticas del sucinto texto que muestra. Se analizan ambos aspectos al igual que la integración de la estela en el contexto de la ciudad de Viseu.
 
[pt] O presente texto tem como propósito central a apresentação de um achado epigráfico realizado na cidade de Viseu (Portugal), que, na Antiguidade, foi uma das capitais de ciuitas do Norte da Lusitânia. A peça em questão é uma estela que se encontrava em reaproveitamento no edificado contemporâneo. Destaca-se, do ponto de vista plástico, pela figuração (incompleta) de um guerreiro, mas também pelas particularidades linguísticas do sucinto texto que apresenta. Discutem-se ambos os aspetos, bem como a integração da estela no contexto cidade romana.
Arqueología morisca: las bases materiales del Paraíso cerrado para muchos, jardín abierto para pocos de Pedro Soto de Rojas
Authors: Rodríguez Aguilera Ángel , Rodríguez Aguilera Julia , Jódar Hódar Carmen
Published: December 2023

En este trabajo presentamos los resultados de la excavación arqueológica del solar donde estuvo ubicado el jardín de Pedro Soto de Rojas, habiendo documentado las estructuras de un conjunto de casas moriscas que fueron adquiridas por el poeta tras la expulsión para su demolición de forma previa al diseño del jardín. El buen estado de conservación de los restos arqueológicos nos permite reconocer un sector urbano del Albaicín en época morisca, entre 1500 y 1571: la estructura urbana, las técnicas constructivas, y la organización de los espacios domésticos. Son las bases materiales que condicionaron en cierta medida el mitológico Paraíso cerrado para muchos, jardín abierto para pocos al que también podemos aproximarnos desde la arqueología, resultado de la transformación de un sector urbano en espacio de solaz.
Classification Models in Machine Learning Techniques
Authors: Majumder Amit
Published: December 2023

Classification is the process of identifying, understanding, and grouping objects and ideas into specified categories. These pre-categorized training datasets are used by machine learning techniques to classify datasets into relevant and acceptable categories. Using the incoming training data, machine learning classifiers assess the chance or probability that the incoming data will fall into one of the established categories. One of categorization's most prominent applications is used by the largest email service providers of today: classifying emails as “spam” or “non-spam.” In essence, classification is a form of “pattern recognition.” Following the application of classification algorithms to the training data, the same pattern (similar number sequences, words, or attitudes, etc.) is found in future data sets. Classification falls within the category of supervised learning in the context of machine learning.
Mental Stress Detection Using Bidirectional Encoder Representations From Transformers
Authors: Vennila A. , Balambigai S. , Renugadevi A. S. , Charanya J.
Published: December 2023

It seems as if people start losing control as they become easily upset, frustrated, and overwhelmed, having problems in resting and quieting their mind, and also feeling bad about themselves, lonely, worthless, and depressed, and avoiding others. If they have experienced the above symptoms, then there is a chance that they are suffering from mental stress. They have to take proper care of their mental health. Stress can be taken care of if it is properly handled and for that detection of stress or the mental state is necessary to provide proper care. The first step in stress detection is sentiment analysis of the users' daily conversations. The authors have proposed an NLP model and have trained it to produce a score for the input ranging between 0 and 1 where 0 is the negative end and 1 is the positive end. The trained model can predict the scores with an accuracy of above 92% on Twitter.
Dew Computing
Authors: Tyagi Amit Kumar
Published: December 2023

Dew computing is an emerging paradigm that extends the edge computing concept by leveraging the resources available in the surrounding environment. This chapter presents a state-of-the-art review of dew computing, including its definition, characteristics, and architecture. The authors also discuss the opportunities and challenges of dew computing and provide a comprehensive survey of recent research efforts in this area. Specifically, they highlight the potential of dew computing to address the challenges of resource-constrained devices, increase data privacy and security, and improve network efficiency. However, several research challenges need to be addressed, including resource management, security, privacy, and interoperability. They discuss the future research directions and potential applications of dew computing in various domains, such as healthcare, smart cities, and the internet of things (IoT). In summary, dew computing has the potential to revolutionize the way we perceive and utilize computing resources and opens up a new research frontier for computer science and engineering.
Transformative Effects of ChatGPT on the Modern Era of Education and Society
Authors: Tyagi Amit Kumar
Published: December 2023

The transformative effects of ChatGPT, an advanced AI language model, on the modern era of education and society are profound. This work explores these effects from the perspectives of both society and industry, shedding light on the far-reaching implications of this technology. ChatGPT, an AI tool which is developed by OpenAI, represents a significant leap in natural language understanding and generation, making it a valuable tool in education, communication, and problem-solving. Its applications spread from personalized learning support to enhancing customer service, streamlining administrative tasks, and facilitating innovative approaches to knowledge dissemination. However, alongside the benefits, this work also discusses/addresses the ethical and privacy issues and potential challenges associated with the global adoption of ChatGPT in educational and societal contexts.
Using Ensemble Learning and Random Forest Techniques to Solve Complex Problems
Authors: Belsini GladShiya V. , Sharmila K. K.
Published: December 2023

The branch of computer science and artificial intelligence known as machine learning is used to program machines to learn. Algorithms for machine learning are software programs or methods used to find hidden patterns in data, predict outcomes, and improve performance based on past performance. A technique used in machine learning called ensemble learning combines several models, such as classifiers or experts that have been carefully constructed to solve a particular computational intelligence problem. Ensemble refers to a collaborative effort to create a single impact. An ensemble can predict events more accurately and perform better in general than a single contributor. A random forest is a technique for ensemble learning in which many decision trees are combined to create the forest. This chapter covers the fundamentals of ensemble learning using random forest, implementation with real-world examples, and developing a model.
Microglial Cells Function in the Central Nervous System
Authors: El-Mansoury Bilal , Smimih Kamal , Ait Hamdan Youssef , Draoui Ahmed , Boulbaroud Samira , Jayakumar Arumugam Radhakrishnan
Published: December 2023

Microglia are the resident macrophages of the central nervous system (CNS). These cells of mesodermal/mesenchymal origin migrate into all regions of the CNS. Recent studies indicate that even in the normal brain, microglia have highly motile processes by which they scan their territorial domains. By a large number of signaling pathways, they can communicate with macroglial cells (e.g. astrocytes) and neurons and with cells of the immune system. Under normal physiological conditions, microglia constantly monitor their microenvironment and survey neurons. Microglia have other functions including the participation in the formation of new blood vessels or angiogenesis, cognitive function, the regulation of synaptic plasticity, and neurogenesis and they play a crucial role in the CNS through communication with other brain cells. This chapter will provide an overview of the functions of microglial cells within the CNS.
Microglia and Neuroinflammation
Authors: Mondal Himel , Mondal Shaikat
Published: December 2023

Microglia, specialized immune cells within the central nervous system (CNS), are central to maintaining CNS health and protecting against damage and infections. However, their improper activation can contribute to the development and progression of various neurological diseases, including Alzheimer's, Parkinson's, multiple sclerosis, autism, and traumatic brain injury. Neuroinflammation, a complex process involving microglia and other glial cells, is considered a key factor in the pathogenesis of many neurological disorders. To comprehensively address this, this chapter introduces microglia's essential role in CNS homeostasis and sets the stage for understanding the concept of neuroinflammation, range of neurological and psychiatric disorders, cutting-edge imaging and genetic tools, the potential therapeutic strategies for modulating microglial function and targeting neuroinflammation.
Carbon Sequestration Strategies in Agricultural Lands
Authors: Aboutayeb Rachid , Boutarfa Abdeljalil , Mrabet Rachid
Published: December 2023

Carbon sequestration strategies can reduce greenhouse gas emissions, enhance soil fertility, improve water dynamics, and increase soil biodiversity. This chapter investigates such nexuses through the analysis of impacts and benefits mainly from three major strategies: conservation agriculture, agroforestry and organic farming including soil amendments. Moreover, the current study emphasizes the need for integrated approaches to accomplish multiple sustainability objectives in agriculture while simultaneously promoting carbon sequestration. The relationship between carbon sequestration and sustainable agriculture is investigated, and trade-offs between carbon sequestration and other sustainability objectives are outlined. This study emphasizes the policies and governance frameworks that support carbon sequestration, as well as the opportunities and risks associated with their implementation. Overall, carbon sequestration strategies have the potential to provide substantial environmental benefits; however, their implementation requires careful consideration of socioeconomic dimensions.
Composting for a Sustainable Future
Authors: Singha Ranjit , Singha Surjit
Published: December 2023

As the worldwide waste management problem has risen, composting has gained popularity. It turns organic trash into nutrient-rich soil for agriculture, landscaping, and environmental rehabilitation. This chapter on composting, “Composting for a Sustainable Future: Turning Waste into Nutrient-Rich Soil,” is comprehensive. It covers decomposition science, composting methods, materials, and procedures. Composting's agricultural, landscaping, and environmental remediation benefits are also covered. The chapter also examines composting's role in climate change mitigation, its obstacles, and remedies. Decomposition can help people, businesses, and communities live more sustainably. It urges decomposition and trash reduction and provides information about tools to start composting, a simple yet efficient solution to worldwide waste management.
Elderly's Intention to Use Teledentistry Services
Authors: Bouarar Ahmed Chemseddine , Asanza Dachel Martínez , Mouloudj Smail , Bouarar Achouak , Mouloudj Kamel , Bozorgi Majedeh
Published: December 2023

This research seeks to answer two questions: (1) What are the factors affecting elderly's intention to use teledentistry services? (2) What are the barriers to the adoption of teledentistry services among older people? To achieve this, the authors conducted a literature review related to this issue. The chapter is organized as follows. After the first section introduction, the second section deals with the conceptual framework of the research topic. The third section of the chapter is devoted to explaining the research methodology. As for the fourth section, it was devoted to discussion the results associated with intentions to use teledentistry and barriers to adoption of teledentistry among older adults. Finally, research directions, practical implications, and conclusion are presented in the last section.
AI and Digital Sentience in Kazuo Ishiguro's Klara and the Sun
Authors: Singh Aman Deep
Published: December 2023

Science fiction (SF) is pivotal in shaping the readers' attitudes towards the future. Still, the main objective of a science fiction novel or film is not to predict the future or to assess any technological advancement. SF, mainly, teaches us what it means to be humane in a changing world of citizenship cum globalization. To convey this message, novelists and movie makers portray artificial intelligence (AI) as an autonomous or human-like character to ponder the condition of humans in flux and the social, economic, and political issues regarding technological advancement. Through the perspective of Klara, the robot protagonist, we explore artificial intelligence and consciousness, the posthuman situation of humanity, the future of utopia, humanity's changing ideologies, and the human-machine relationship or human-nonhuman relationship. The way AI enacts humans is debatable as AI introspection reflects new capacities for human potential and mirrors the limits of humanity (i.e., the creature is defined and associated with its creator).
Transformative Effect of Virtual Reality and the Metaverse
Authors: De Clara Laura
Published: December 2023

The text explores the transformative impact of virtual reality, augmented reality, and the metaverse on human experiences. These technologies offer new ways of interaction and learning, revolutionizing sectors such as education, mental health, and entertainment. Immersion and controlled manipulation of the virtual environment are crucial in creating engaging experiences, supporting personal transformation. Presence in virtual environments plays a key role, inducing a feeling of being physically immersed. The therapeutic use of virtual reality shows promise for mental and neurological disorders, providing a safe space to confront fears and anxieties. However, constant development of standardized protocols is necessary to ensure personalized and effective therapies. Responsible use of immersive technologies is essential to avoid issues of excessive virtual identity and addiction. Interdisciplinary research and ethics will guide the future application of these technologies, opening new perspectives in understanding the human mind and enhancing overall well-being.
Development of Personalized Healthcare Systems (Healthcare 5.0) and Its Impact on Wellbeing
Authors: Kulkarni Meenal , Sharma Moumita
Published: December 2023

The chapter explores the development and conceptual understanding of healthcare 1.0 to 5.0 and its impact on well-being. It discusses the fundamental concepts of the evolution of healthcare which aimed at patient survivability at its initial stage to personalization now. The chapter outline focuses on digital disruption technologies like big data, AI, blockchain, IoT, robotics, cloud computing, and virtual reality, and its usage in various areas of healthcare. Multiple business models of business are also featured along with an understanding of the barriers that should be understood to implement and take maximum advantage of Healthcare 5.0 at all levels and areas of healthcare. Government initiatives in public and private sectors are also contributing to accepting the fast-paced technological advancements. Healthcare 5.0 has and will improve the accessibility and ease of healthcare services, thereby impacting people's well-being. Precision healthcare, integrated and generative AI, and intelligent infrastructure will soon become part of patient monitoring and treatment.
Intelligent Biosensors for Healthcare 5.0
Authors: Zhu Lihang , Zhang Jucheng , Liu Haipeng , Chu Yonghua
Published: December 2023

Increasing demands for smart health management driven by aging population and chronic diseases are transforming traditional healthcare delivery into intelligent and personalized ones. However, some critical issues still exist in the development of intelligent biosensors towards the new era of healthcare 5.0, such as the design and fabrication of highly integrated biosensing devices, the exploitation of artificial intelligence (AI) and internet of things (IoT), the complete realization of smart disease control and health management, etc. Recent advances have explored the feasibility of miniaturized and portable biosensing device for household diagnostics, whereas the integration of IoT and AI is an unmet challenge. Hence, this chapter summarizes promising on-going efforts with emphasis on two domains: electrochemistry and spectroscopy. State-of-the-art intelligent biosensors are presented and insights in prospective exploration directions are discussed in the context of Healthcare 5.0.
Federated Learning and Artificial Intelligence in E-Healthcare
Authors: Gupta Meena , Sharma Priya , Kalra Ruchika
Published: December 2023

Federated Learning (FL), a novel distributed interactive AI paradigm, holds particular promise for smart healthcare since it enables many clients including hospitals to take part in AI training while ensuring data privacy. Each participant's data that is sent to the server is really a trained sub-model rather than original data. FL benefits from better privacy features and dispersed data processing. Analysis of very sensitive data has substantially improved because to the combination of Federated Learning with healthcare data informatics. By utilizing the advantages of FL, the clients' data is preserved safely with their own model, and data leakage is avoided to prevent any malicious data modification in the system. Horizontal FL takes data from all devices with a comparable trait space suggests that Clients A and B are using the same features. Vertical Federated Learning uses a number of datasets from various feature domains to train a global model. A successful FL implementation could thus hold a significant potential for enabling precision medicine on a large scale.
Applications of Pipelining With ML to Authenticate Emotions in Textual Contents
Authors: Varshney Yati , Sharma Markandey , Jaiswal Sonali , Gupta Mayank K. , Rastogi Rohit
Published: December 2023

This research chapter aims to provide a smart approach for Human - Machine Interaction development using emotion detection on textual content. These texts can be anything like reviews, tweets, and any form of passage. As the machine is being advanced so that all the performance and commands are given in the text form. This is necessary to analyze the textual content for getting better performance and making the machines smarter. As the customers share their views on social media through the reviews, this mechanism is now spread across all the organization. Nowadays, the number of reviews and tweets are increasing and there is a necessity to analyze the data for further results. In this research, the team analyzes the tweets content in the forms of emotions in which there are multiple forms of the emotions. The machine learning approach is used with tf-idf vectorization for more accuracy. In the presented research, the team performs four machine learning algorithms for analysis; these include Naive Bayes and support vector machine.
Application Domains of Federated Learning in Healthcare 5.0
Authors: Kumar T. Ananth , Gokulalakshmi A. , Kanimozhi P. , Glorindal G.
Published: December 2023

Federated learning has emerged as a game-changing approach in machine learning, allowing high-quality centralised models to be trained across a network of decentralised clients. Federated Learning is defined by the collaborative learning process that involves a large number of customers, each of whom contributes insights from their localised datasets. This collaborative approach is critical in cases where data privacy and network constraints are critical. This research focuses on the unique learning algorithms built for this situation. Individual clients autonomously compute model changes based on their local data at each iteration, then communicate these modifications to a central server. These client-side updates are subsequently aggregated by the central server, resulting in the construction of an updated global model. The challenge in this situation is to train models efficiently while dealing with clients who have inconsistent and slow network connections.
Emotional Intelligence
Authors: Mehra Richa Kapoor
Published: December 2023

Since time inception the problem of self-knowledge has been the fundamental matter of concern in ancient philosophy. We have a sense of belief that we all know our emotions. This belief gives rise to a number of questions- Do we know our emotions all the time? Are we aware of the emotions of others? Is there any connection between emotion identification and decision making? To answer these questions, one has to unpack the notion of emotional intelligence. This chapter intends to express 5S approach to emotional intelligence as the foundation to business management. These 5S refers to self-awareness, self-management, self-kindness, social awareness, and social skills/social management. Moving further, the emphasis will be on the notion of spirituality as a means to attain the 5S, to excel in emotional intelligence. Our emotions guide our actions and words; thus, significantly assist us in taking appropriate decisions, which as a result, helps us in managing business efficiently and effectively.
Emotional Intelligence at the Workplace
Authors: Kaur Rajwant
Published: December 2023

Emotional intelligence means the capability to comprehend one's personal emotions as well as of the others and regulating them well. Emotional intelligence permits one to function effectively at the workplace. Technical expertise and academic credentials alone are insufficient for people to succeed in their jobs. To accomplish the intended results, it is also critical to have strong interpersonal connections, self-control, and self-management skills. People who possess strong emotional intelligence are able to perform to the best of their abilities. The study aims at understanding the concept and significance of emotional intelligence at workplace. The study is descriptive in nature and is based on secondary data. The study infers that appropriately developed emotional intelligence improves interpersonal relationships at workplace and employee's performance. The study suggests that organisations should understand the importance of emotional intelligence and conduct workshops to enhance emotional intelligence of individuals working in different capacities in the organisations.
Emotional Intelligence as a Facilitator and Gateway for Managerial Effectiveness
Authors: Lohani Vaniki Joshi , Lohani Mohit , Kemkar Mayura
Published: December 2023

Traditionally, intelligence has been associated with cognitive and logical abilities only. However, this definition of intelligence did not take into account the various other faculties available to the human mind. Human resources have been important to any growing organization, and in the scenario of complex volatile business it's very difficult to retain good employees who help the organization to achieve success. This work talks about how emotional intelligence helps to form as a formative block of the behavior and how they affect managerial effectiveness. This chapter explores how emotional intelligence brings with it multiple advantages and thus forms a key competency that improves the managerial effectiveness.
The Future of Finance
Authors: Sharma Poonam , Devi Spna
Published: December 2023

This book chapter explores the applications and implications of artificial intelligence (AI) in the finance industry. The chapter examines significant areas where AI is utilized in finance, including trading, fraud detection, customer service, portfolio optimization, and risk management. Furthermore, the chapter explores AI's implications and future trends in finance. This would offer a comprehensive understanding of the applications and implications of artificial intelligence and its importance in financial aspects, including models and techniques awareness. Design/methodology/approach: AI use in finance will be comprehensively examined by a review of literature, industry reports, and case studies. The advantages of using AI in finance will be highlighted, for instance, cost reduction, improved efficiency, and decision-making. Existing literature on using AI in finance will be examined through future trends and AI adoption.
Diversity, Equity, and Inclusion
Authors: Bhanumathi P. , Jeevitha R. , Anjali Naidu M.
Published: December 2023

Over the past few years, the COVID-19 pandemic has severely impacted organizations' working culture. Many organizations have gone into transformations to manage their workforce remotely and obtain the best out of the situation. To an extent, this model has yielded results in a few industries in which coming to the workplace need not be a constraint, but a few other industries suffered huge losses. The post-pandemic scenario has brought more unexpected challenges in the workplace in terms of quality of employee engagement and the increased distance in in-person work environments. The multigenerational workforce is a common scenario in large-scale organizations with a good amount of legacy. Handling such challenges requires a great understanding of the field data and doing analytics to derive some insights used to make meaningful decisions.
Achieving the Sustainable Development Goals Through Corporate Sustainability in a Private Banking Organization
Authors: Taskin Sharmin , Javed Amna , Kohda Youji
Published: December 2023

Corporate sustainability (CS) has drawn the attention of academics and practitioners as a way to achieve profitable businesses without negatively impacting society. However, financial business organizations have not adequately realized the importance of CS in meeting sustainable development goals (SDGs). Thus, it is unclear how the financial sector will achieve the SDGs using CS. All 17 goals are essential, but achieving them depends on which CS issues the organization prioritizes. This study uses a qualitative case study to investigate the use of CS to achieve SDGs at financial corporations. Interviews were conducted with five respondents from City Alo, an SME banking segment of City Bank in Bangladesh, and 15 women entrepreneurs engaging with this organization to receive entrepreneurship education through a bank–university collaboration. The results show that the private banking organization achieved seven SDGs by prioritizing appropriate CS issues.
Research on VRP Model Optimization of Cold Chain Logistics Under Low-Carbon Constraints
Authors: Ma Ruixue , Zhu Qiang
Published: December 2023

The research in this article aims to consider low-carbon factors, through reasonable vehicle allocation and optimization of distribution routes, to achieve high satisfaction and low total cost, and to provide an optimized solution for fresh food distribution companies. In this article, cargo damage cost, energy cost, and carbon emission cost are added to the total cost, and customer satisfaction constraints based on time and quality are added, respectively, to construct a multi-vehicle cold chain VRP model under the low-carbon perspective. In order to obtain a good initial path method, a good chromosome is generated and added to the initial chromosome population according to the constraints of the vehicle type and time window, and the local elite retention strategy is combined to speed up the population convergence. Finally, taking the data of A Fresh Food Company as an example, the MATLAB software is used to realize the programming, which verifies the validity and superiority of the multi-vehicle cold chain VRP model under the low-carbon perspective.
Text Chat-Mediated Dynamic Assessment Towards Self-Regulation in Language Learning
Authors: Udeshinee W. A. Piyumi , Knutsson Ola , Männikkö-Barbutiu Sirkku
Published: December 2023

Even though the importance of corrective feedback (CF) is widely recognized, there is no agreement on the most effective type of CF for promoting self-regulation. Thus, this study adopts a sociocultural perspective on learning and employs dynamic assessment (DA) as a CF form. DA is considered a theoretically promising approach to CF as it focuses on the learning process rather than the end product. Instead of the common teacher-learner interaction, this study initiates a teacher-learner group interaction with the support of text chat. Text chat helps teachers to cater to all students in the class simultaneously through several chat groups. This longitudinal study was part of an ongoing, university-level three-month English-as-a-second-language course. The findings demonstrate that this collaborative approach facilitates self-regulation through teacher mediation and peer scaffolding, and that the text chat supports implementing DA in the classroom while its features support mediational and reciprocity moves of the DA process.
A Method for Improving the Pronunciation Quality of Vocal Music Students Based on Big Data Technology
Authors: Shen Dan , Zhao Wenjia
Published: December 2023

With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this article proposes a new method for evaluating sound quality based on one-dimensional convolutional neural networks. It uses sound preprocessing, BP neural networks, wavelet neural networks, and one-dimensional CNNs to improve pronunciation quality. The proposed 1D CNN network is more suitable for one-dimensional sound signals and can effectively solve problems such as feature information fusion, pitch period detection, and network construction. It can evaluate singing art sound quality with minimum errors, good robustness, and strong portability. This method can be used for the evaluation and diagnosis of voice diseases, helping to improve students' professional abilities.
Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques
Authors: Quan Chen , Lu Baoli
Published: December 2023

Innovation management involves planning, organizing, and controlling innovation within an organization, while venture capital evaluation assesses investment opportunities in startups and early-stage companies. Both fields require effective decision-making and data analysis. This study aims to enhance innovation management and venture capital evaluation by combining CNN and GRU using deep learning. The approach consists of two steps. First, the authors build a deep learning model that fuses CNN and GRU to analyze diverse data sources like text, finance, market trends, and social media sentiment. Second, they optimize the model using the gorilla troop optimization (GTO) algorithm, inspired by gorilla behavior. GTO efficiently explores the solution space to find optimal or near-optimal solutions. The authors compare the fused CNN-GRU model with traditional methods and evaluate the GTO algorithm's performance. The results demonstrate improvements in innovation management and venture capital evaluation.