bluuebunny/crossref_metadata_2025 huggingface dataset:
Recherches sur la Sustainability
Authors: Dorsouma Al-Hamndou
Published: February 2024

Ce chapitre passe en revue l’état de mise en œuvre et les perspectives managériales en matière de soutenabilité en Afrique, dans différents secteurs d’activité : une question qui soulève à la fois des attentes et des scepticismes au niveau du continent africain. Au regard des nombreux défis qui se posent en matière de soutenabilité, l’atteinte de la soutenabilité, en particulier des Objectifs de développement durable à l’horizon 2030, se trouve fortement compromise en Afrique.
Que sait‐on du travail ?
Authors: Palier Bruno
Published: February 2024

Depuis plus de trente ans, le travail en France n’est pas conçu comme un atout sur lequel les entreprises et les services publics pourraient s’appuyer pour améliorer leurs produits ou leurs services, mais comme un coût qu’il faut réduire par tous les moyens. C’est ce à quoi s’attellent les politiques économiques françaises, principalement fondées sur des exonérations de cotisations sociales et des aides aux entreprises pour alléger le poids des « charges sociales ». Réduire le coût du travail à tout prix constitue aussi l’essentiel des stratégies des entreprises françaises. L’ensemble a eu pour effet de dévaloriser et d’abîmer le travail en France, en favorisant les emplois de faible qualité, la sous-traitance, l’éviction des plus âgés, la dégradation des conditions et l’intensification du travail.
Que sait‐on du travail ?
Authors: Carbonell Juan Sebastian
Published: February 2024

La pénibilité du travail industriel a-t-elle disparu ? Si la réalité du travail dans l’industrie ne correspond plus tout à fait à celle des Temps modernes de Charlie Chaplin, ou de L’Établi de Robert Linhart, cela ne signifie pas pour autant que les conditions de travail se sont améliorées. On peut même affirmer que celles-ci se dégradent sous l’effet conjugué de trois phénomènes : les menaces de délocalisation et le chantage à l’emploi, l’introduction de méthodes de travail inspirées de la lean production et les nouvelles technologies numériques.
Que sait‐on du travail ?
Authors: Barraud de Lagerie Pauline , Gros Julien , Sigalo Santos Luc
Published: February 2024

Créé par des plateformes numériques faisant office d’intermédiaire, le crowdsourcing de microtâches, aussi appelé crowdworking , consiste à découper la mission d’une entreprise donneuse d’ordres en petites tâches et à en confier l’exécution à une foule de microtravailleurs en ligne ( crowdworkers ). C’est ainsi que des entreprises peuvent sous-traiter à des internautes, rémunérés chacun quelques centimes, de vastes projets de traitement de données décomposées en microtâches (identification d’image, recherches internet, sondages, etc.).
Que sait‐on du travail ?
Authors: Senik Claudia
Published: February 2024

Pendant de longues années, les salariés ont rêvé de pouvoir travailler à distance au moins un jour par semaine, tout en se heurtant à la réticence sceptique des entreprises. En mars 2020, le dispositif du télétravail, qui concernait moins de 5 % des travailleurs avant la pandémie de Covid-19, a soudain été imposé à près de 40 % d’entre eux. Cette expérience a permis de déterminer si le télétravail était propice ou néfaste au bien-être des salariés.
Que sait‐on du travail ?
Authors: Rivoal Haude
Published: February 2024

Ces derniers temps, on s’interroge beaucoup sur le sens du travail, mais moins sur le genre de celui-ci. Pourtant, les faits sont têtus. Qu’ils s’agissent des inégalités de salaires, du plafond de verre ou, plus grave, du harcèlement sexiste ou sexuel au travail, l’actualité ne finit pas de nous rappeler leur persistance. Certes, le monde du travail ne cesse de multiplier les initiatives, de clamer sa bonne volonté et de prouver sa « proactivité » en matière de lutte contre les discriminations : de grands patrons s’engagent, des lois incitent et des rapports alertent (CHCE, 2023). Alors, qu’est-ce qui coince encore ? Les apports des sciences sociales sont nombreux et riches d’enseignements sur l’étude des femmes au travail, des discriminations qu’elles subissent aussi bien que des manières qu’elles ont parfois de les contourner. Mais, que se passe-t-il du côté des hommes ? Leur rapport au travail, à la virilité et à l’égalité a-t-il changé ?
Machine Learning System for the Effective Diagnosis and Survival Prediction of Breast Cancer Patients
Authors: Gago Arturo , Aguirre Jean Marko , Wong Lenis
Published: February 2024

Breast cancer is one of the most significant global health challenges. Effective diagnosis and prognosis prediction are crucial for improving patient outcomes in the case of this disease. As machine learning (ML) has significantly improved prediction models in many disciplines, the goal of this study is to develop a ML system for medical specialists that can accurately predict tumor diagnosis and patient survival for breast cancer patients. For the training of diagnosis and survival prediction, five algorithmic models—decision tree (DT), random forest (RF), naive bayes (NB), support vector machines (SVMs), and gradient boosting—were trained with 569 records from the Breast Cancer Wisconsin dataset and 1,980 records from the Breast Cancer Gene Expression Profiles dataset. The results showed that the NB model exhibited better performance for tumor diagnosis, achieving an accuracy of 95.0%, while RF presented the best results for patient survival, with an accuracy of 76.0%. A survey of medical experts’ experience with the resulting system showed high scores in reliability, performance, satisfaction, usability, and efficiency, confirming that ML systems have the potential to improve breast cancer patient outcomes.
The Impact of Using DPSK Modulation on the Performance of Transdermal Optical Wireless Communications under Pointing Errors
Authors: Al-Rbeihat Yazeed Suleiman , Hasan Omar M.
Published: February 2024

The current paper explores the impact of misalignment between transceivers (referred to as pointing error (PE)) on the performance of transdermal optical wireless (TOW) technology, as indicated by average signal-to-noise ratio (SNR), outage probability (OP), outage rate (OR), and average ergodic capacity (AEC). This study was inspired by the effectiveness of differential phase shift keying (DPSK) in enhancing the reliability of the link in free-space optical communications (FSO). Furthermore, this enhancement was studied and analyzed in consideration of the impact of pointing errors. In particular, this paper presents a mathematical analysis that considers certain characteristics of the channel, limitations within the body, the pointing errors (PEs) between the transceivers, and other specific aspects of the optical unit. The results demonstrate the significant impact of PEs on the reliability of the TOW link and highlight the improvement provided by the DPSK technique. i.e., 3 dB better performance compared to the on-off keying (OOK) modulation technique. Finally, this research demonstrates the practical application of wireless optical technology in the medical field within the wavelength range of 800–1300 nm, with optimal performance observed around 1100 nm.
Le numérique entre les propriétés spécifiques et la création littéraire
Authors: Gherbaoui Amar , Benkouider Lamine
Published: February 2024

De nos jours, la littérature ne circule plus seulement dans les livres, elle peut être découverte, explorée et appréciée sur des ordinateurs. Ce nouveau type ​​appelé « littérature numérique » n’est accessible que par le biais d’un support informatique. En effet, la création littéraire assistée par ordinateur existe depuis plus d’une quarantaine d’années, de nombreux termes lui sont attribués, telles que » Littérature informatique », « littérature électronique », « e-littérature », « cyberlittérature. De ce fait, deux questions se posent d’elles-mêmes : Qu’apporte le numérique à la création littéraire ? Quelles sont les propriétés spécifiques de la littérature numérique ? Dans ce présent article, nous essayons d’apporter quelques éléments de réponses, en nous focalisant sur les propriétés spécifiques de la littéraire numérique afin de permettre aux écrivains d’expérimenter et de créer des œuvres littéraires en utilisant ce support numérique.
Detecting Cyber Threats With a Graph-Based NIDPS
Authors: Wen Brendan Ooi Tze , Syahriza Najihah , Xian Nicholas Chan Wei , Wei Nicki Gan , Shen Tan Zheng , Hin Yap Zhe , Sindiramutty Siva Raja , Nicole Teah Yi Fan
Published: February 2024

This chapter explores the topic of a novel network-based intrusion detection system (NIDPS) that utilises the concept of graph theory to detect and prevent incoming threats. With technology progressing at a rapid rate, the number of cyber threats will also increase accordingly. Thus, the demand for better network security through NIDPS is needed to protect data contained in networks. The primary objective of this chapter is to explore the concept of a novel graph based NIDPS through four different aspects: data collection, analysis engine, preventive action, and reporting. Besides analysing existing NIDS technologies in the market, various research papers and journals were explored. The authors' solution covers the basic structure of an intrusion detection system, from collecting and processing data to generating alerts and reports. Data collection explores various methods like packet-based, flow-based, and log-based collections in terms of scale and viability.
IoT Security, Future Challenges, and Open Issues
Authors: Tariq Noshina , Saboor Tehreem , Ashraf Muhammad , Butt Rawish , Anwar Masooma , Humayun Mamoona
Published: February 2024

The internet of things (IoT) refers to the network of connected devices embedded in everyday objects that enable digital transformation. The rapid proliferation of IoT devices has led to significant advancements in technology and data exchange capabilities. However, the security of user data and IoT systems has become a paramount concern. This chapter focuses on the security challenges and approaches in IoT. Various attacks, such as denial of service, password guessing, replay, and insider attacks, pose significant threats to IoT security. It investigates the state-of-the-art technologies, future challenges and open issues currently facing IoT security. The findings from this chapter serve as a foundation for future work in improving IoT security and protecting user data effectively.
Community Policing Practices in Egypt
Authors: Metwally El-Kady Ramy
Published: February 2024

This chapter aims to shed light on the practices of community policing in Egypt, show its most prominent forms, and highlight its social role in solving and settling social and criminal problems in Egyptian society. The chapter will rely on the descriptive analytical approach to identify the practices of community policing in Egypt. The chapter plans to introduce community policing and its theoretical framework by addressing its definition, components, goals, and requirements and reviews the most prominent applications of community policing in Egypt, the most important of which are community participation committees in police departments, police reconciliation committees, and community participation committees in police stations. Reform and rehabilitation, and finally, the societal role of the police in community initiatives aimed at reducing the living burdens on citizens. The chapter concluded with the importance of the community policing model in enhancing public participation in maintaining security and combating crime and its reflection on building confidence in the police.
The Invisible MENA Population in Dearborn, Michigan
Authors: Green-Weir Robbya Reneea
Published: February 2024

Dearborn, MI is the enclave of Arab Americans in the United States. Arabs migrated to Dearborn, MI, many as refugees of war, seeking prosperity. The Arab American experience is invisible because this population is classified as “White'” according to the U.S. Census. However, many Arab Americans do not identify as “White.” Therefore, interpretations using “White” statistics may be flawed. It is imperative that the Office of Management and Budget include a Middle Eastern North African (MENA) category to separate the “White” data and disaggregate MENA data. The Obama and Biden Administrations have submitted proposals on collecting MENA population data. It is unknown if the 2030 U.S. Census will include MENA categories. Law enforcement and other organizations can incorporate both quantitative and qualitative data collection methods to capture MENA population statistics and their lived experiences. Until then, the MENA population and their needs will remain invisible to the general population and justice may be elusive.
Reintegration of Offenders Into Communities
Authors: Ozeroglu Alev
Published: February 2024

Punishing offenders and the type of punishment to be given has been one of the fundamental questions of criminal law. The concept of punishment has been associated with revenge in history; however, after the 1940s, it has been formed through a different understanding of the idea of rehabilitating offenders and reintegrating them into society. After the 1970s, with the concept of “reparation,” models emerged in which offenders analyze the consequences of the act committed within the scope of restorative justice and display a constructive attitude towards eliminating the damage. Therefore, the understanding of making offenders pay for, atone for, or compensate for the consequences of the act committed, the question of what the punishment given over time or the result of the criminal justice system reveals for offenders has also begun to be asked. At this point, the question asked within the scope of the study is how effective restorative justice models are in reconciling and reintegrating offenders with society.
Piloting Body-Worn Cameras in Northern Canada
Authors: Khanizadeh Ariane , Baldwin Simon , MacIsaac Audrey , Brook Genevieve , Lanzo Liana , Bennell Craig
Published: February 2024

The Royal Canadian Mounted Police (RCMP) are implementing body-worn cameras (BWCs) across the country. This chapter reports on a pilot project designed to evaluate the implementation of these cameras that was conducted in Iqaluit, Nunavut, a remote northern Canadian community. Findings from several surveys – one focusing on community members and the others focusing on RCMP officers – are presented, and the impact on operational data (e.g., crime trends) is discussed. These findings suggest that BWCs are generally supported by the public and although crime and use-of-force rates during the pilot project did not differ from historical trends, BWCs were generally perceived to increase public safety and help improve police-public relations. RCMP officers are also generally satisfied with their BWCs and their BWC training. The authors believe this pilot project helped develop community trust around the use of BWCs by RCMP officers and they hope the project description provides a blueprint for other agencies to implement their own culturally sensitive and community-focused BWC program.
Emerging Technologies for Enhancing Robust Cybersecurity Measures for Business Intelligence in Healthcare 5.0
Authors: Sakhawat Abdur Rehman , Fatima Areej , Abbas Sagheer , Ahmad Munir , Khan Muhammad Adnan
Published: February 2024

Healthcare 5.0 represents the next phase in healthcare evolution. It aims to harness the creativity and expertise of healthcare professionals, integrating them with efficient, intelligent, and precise technologies. This integration allows for resource-efficient and patient-centered approaches, surpassing previous paradigms in healthcare. To provide a comprehensive introduction to Healthcare 5.0, this chapter presents a survey-based tutorial covering potential applications and enabling technologies within the healthcare domain. The chapter takes a comprehensive approach to introducing the key concepts and definitions of Healthcare 5.0. From the perspective of healthcare practitioners and researchers, it explores the potential applications that Healthcare 5.0 offers. Finally, several research challenges and open issues in Healthcare 5.0 require further development and overcoming. These include integrating and effectively utilizing Business Intelligence in Healthcare 5.0, as well as implementing robust cybersecurity measures to safeguard sensitive healthcare information.
Cybersecurity's Shaping of Wearable Healthcare Devices and Digital Marketing
Authors: Brown-Jackson Kim L. , Burton Sharon L. , Burrell Darrell Norman
Published: February 2024

Cybersecurity and organizational development leaders are not adequately developed to apply the need for wearable healthcare devices, whether inside or outside of the United States. COVID-19 propelled the need for remote monitoring due to a void in facilities and professionals. Leaders must build a clear-cut need to understand and apply cybersecurity knowledge regarding wearables. This type of knowledge must begin to be proactively and not reactively built. Healthcare wearable technology represents movement transformed into data and helps to monitor faithfulness to health care. Whether the difficulty is a void of cybersecurity knowledge, skill, and capability or a scarcity of budget and resource constraints, crafting an exhaustive wearables knowledge of cybersecurity programs takes time and determination. This chapter identifies wearables understanding challenges that are ordinary amongst facilities and businesses. Next, offers an explanation regarding the need for healthcare cybersecurity leaders to comprehend the pronounced need for healthcare wearables, clothing, and internal.
Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application
Authors: Kanna R. Kishore , Jyothi G. , Ambikapathy A. , Mutheeswaran U.
Published: February 2024

A complete and rigorous literature evaluation focused on the detection and elimination of artifacts from EEG signals was presented in the preceding chapter. Issue-wise solution approaches and their limitations were also discussed which ultimately resulted in identifying the gaps in the proposed work and scope of the research work. In this chapter, the detailed explanation of system design and its implementation is discussed. The main focus of the anticipated research is to identify and remove the unwanted signals known as artifacts from the recorded EEG signals.
Technoethical Considerations for Advancing Health Literacy and Medical Practice
Authors: Garcia Manuel B. , Garcia Precious S. , Maaliw Renato R. , Gonzales Lagrazon Pitz Gerald , Arif Yunifa Miftachul , Ofosu-Ampong Kingsley , Yousef Ahmed Mohamed Fahmy , Vaithilingam Chockalingam Aravind
Published: February 2024

The integration of cutting-edge technologies into health literacy and medical practice presents unprecedented opportunities and ethical challenges. This chapter delves into the technoethical considerations crucial for navigating this new landscape, guided by a posthumanist framework. Embracing this framework encourages us to reevaluate traditional boundaries, inviting a more inclusive understanding of humanity's relationship with technology. The chapter also explores the intricate relationship between technology and ethics, advocating for a technoethical framework that ensures technological advancements in healthcare are employed ethically, responsibly, and with a deep understanding of their societal impact. By doing so, this chapter serves as a guiding beacon for healthcare professionals, technologists, ethicists, and policymakers, urging a future where technology and human values coalesce to foster a healthcare ecosystem that is not only advanced but also compassionate, equitable, and ethically grounded.
The Role of Digital Health Technologies on Maternal Health Literacy
Authors: Van Hauwaert Roxane , Mateus Ana Rita , Coutinho Ana Luísa , Rodrigues Joana , Martins Ana Rita , Vilela Fernanda , Almeida Diana
Published: February 2024

In the era of technological transformation, the healthcare system is undergoing significant changes with the integration of digital health. The World Health Organization advocates for ethical and equitable incorporation of digital health into health priorities. Maternal health literacy intersects with digital transformation, emphasizing the need for health literacy responsiveness. This chapter explores the applications of digital health technologies on maternal health literacy. A narrative review identified technologies used for maternal health literacy, such as mobile apps, wearable devices, online platforms, and telehealth. Their impact on maternal health literacy, the potential benefits, challenges, and sociodemographic considerations linked with these technologies were assessed. The findings highlight the role of digital health in maternal health literacy and the importance of inclusive and culturally sensitive approaches. Recognizing the opportunities and limitations of digital health is vital for promoting maternal well-being and reducing health disparities during pregnancy.
Extended Reality Technologies in Physical Fitness for Health Promotion
Authors: Miller Jumel C. , Fernando Emerson Q. , Miranda John Paul P. , Bansil Joseph Alexander , Hernandez Hilene E. , Regala Agnes R.
Published: February 2024

This chapter presents a bibliometric analysis of extended reality technologies (i.e., augmented, virtual, and mixed reality) concerning physical fitness by analyzing 251 published documents from Scopus-indexed sources. Results from the analysis indicated that medicine and computer science are the prominent subject areas, and the International Journal of Environmental Research and Public Health and Lecture Notes in Computer Science are the leading publishers in this domain. The analysis further found variability in terms of authorship patterns and international collaboration in 58 documents. In addition to this, the analysis found that there has been a steady increase in publications in this domain, with a substantial surge from 2019 onwards. The United States and China are the leading contributors, with several collaborative networks among countries, particularly among high-income, western nations. Furthermore, the keyword co-occurrences indicated that there is a focus on VR, gamification, and health issues related to older adults.
Innovations in Minimally Invasive Surgery
Authors: Barua Ranjit
Published: February 2024

The field of surgical robotics has been rapidly advancing, with a focus on improving minimally invasive surgery techniques. Minimally invasive surgery (MIS) is characterized by smaller incisions, reduced trauma to the patient, quicker recovery times, and less post-operative pain compared to traditional open surgery. Surgical robots have played a significant role in enhancing the capabilities of surgeons and expanding the potential for MIS. The next era of smart flexible surgical robots for MIS could encompass several exciting developments. Future surgical robots are likely to be more flexible and adaptable, allowing them to navigate complex anatomical structures with greater ease. In this chapter, the authors will present the current state-of-the-art surgical robotic applications for MIS, focusing on the limitations and challenges still open for their use in clinical applications. This chapter is significant as it not only offers insights into current technological advancements but also lays the groundwork for understanding future innovations that could revolutionize patient care in surgery.
Advancements in Healthcare
Authors: Chenna Dwith
Published: February 2024

This chapter aims to provide an in-depth exploration of the integration of machine learning techniques into medical devices, revolutionizing the landscape of healthcare. Machine learning has demonstrated its potential to enhance the accuracy, efficiency, and diagnostic capabilities of medical devices, leading to improved patient care and outcomes. Through this chapter, the authors intend to delve into the various applications, challenges, and future prospects of machine learning-enabled medical devices, highlighting their impact on modern healthcare.
Blockchain Technology in Cloud Security
Authors: Karunakaran Manivannan , Bellam Kiran , Benadict Raja J. , Shanthi D.
Published: February 2024

As cloud computing becomes ubiquitous, the need for robust security measures intensifies. Traditional centralized access control systems in cloud environments pose vulnerabilities such as single points of failure, transparency deficits, and privacy concerns. This chapter explores the integration of blockchain technology as a transformative approach to enhancing cloud security. Blockchain, renowned for its decentralized ledger, immutability, and cryptographic security, offers innovative solutions to these challenges. The chapter discusses the motivation behind adopting decentralized access control, the fundamentals of blockchain, and its role in identity management. Real-world use cases demonstrate the practical application of blockchain in cloud security. Challenges, including scalability and regulatory compliance, are addressed. This chapter provides a comprehensive introduction to decentralized access control in cloud security, emphasizing its potential to revolutionize the field and contribute to the development of secure and resilient cloud systems.
Fog Computing and Blockchain-Based IoMT for Personalized Healthcare
Authors: Maurya Jay Prakash , Kumar Manoj , Kumar Vinesh
Published: February 2024

The Covid-19 pandemic has accelerated the rise of medical devices and applications, collecting, monitoring, and analyzing valuable healthcare data. The internet of medical things (IoMT) has been used to improve the accuracy, dependability, and efficiency of electronic instruments in healthcare. IoMT can connect real-world objects for information sharing and communication. However, challenges in IoT equipment communication, security, and framework development remain. FOG computing and blockchain technologies can support better-personalized systems, but they also present challenges in developing cost-effective and enhanced treatment quality. The healthcare industry must continue to improve the accuracy, reliability, and efficiency of electronic instruments to ensure patient care during the pandemic.
Audio Steganalysis Using Fractal Dimension and Convolutional Neural Network (CNN) Model
Authors: Lawal Alaba Joy , Owolafe Otasowie , Thompson Aderonke F.
Published: February 2024

The rate at which secret messages are being transmitted through various digital signal media is alarming; these operations are done in an unsuspicious manner and users transmit these messages without knowledge of the embedded secret messages. Audio steganalysis deals with detecting the presence of secret messages in audio messages. Some of the existing steganalysis methods are laden with having prior knowledge of the steganography methods adopted in embedding the secret message in an audio signal, which reduces the detection efficiency. Consequently, this research developed a Higuchi-based audio steganalysis method that detects secret messages without having prior knowledge of the embedding techniques used. The algorithm reduces the fractal dimension of the audio signal to extract relevant features, while convolutional neural network was used as classifier. The research records high accuracy (96%) when compared with previous research. The accuracy of the developed system shows its effectiveness in detecting embedded messages without prior knowledge of the deployed steganography method.
Industry 4.0 in Manufacturing, Communication, Transportation, Healthcare
Authors: Lizy R. Felista Sugirtha , M. H. Ibrahim , Manthiramoorthy Chinnadurai
Published: February 2024

This chapter gives a summary of the effects of Industry 4.0 (I 4.0) on various sectors, including manufacture, communication, transportation, and healthcare. A new wave of technical improvements called “Industry 4.0” focuses on automation, connectivity, and data exchange in manufacturing processes. The chapter highlights how I 4.0 is transforming manufacturing processes by improving productivity, efficiency, and reducing operational costs. Additionally, the chapter discusses I 4.0 adoption in the communications and transportation sectors, leading to better connectivity, safety, and improved customer experience. The healthcare sector is also benefiting from I 4.0 by enhancing patient care through personalized medicine, remote monitoring, and data analytics. The chapter concludes by addressing the possible advantages and difficulties of implementing I 4.0 in various industries, offering insightful information for academics, professionals, and decision-makers.
The Rise of Industry 6.0
Authors: Damaševičius Robertas , Misra Sanjay
Published: February 2024

The COVID-19 pandemic has led to significant disruptions to global economies, leading to the need for rapid transformation in the manufacturing sector. Industry 6.0, the next stage in the evolution of manufacturing, has emerged as a possible solution to these challenges. It builds on the previous industrial revolutions and incorporates advanced technologies such as artificial intelligence (AI), and the industrial internet of things (IIoT) to create a more efficient and sustainable manufacturing environment. This chapter aims to provide a comprehensive overview of Industry 6.0 and its potential in the post-COVID era. It examines the fundamental principles, objectives, and evolution of industrial revolutions, and outlines the role of Industry 6.0 in promoting sustainable manufacturing practices. Additionally, it explores the potential of Industry 6.0 to provide mass personalization of services and products, enhance production capacity, and improve the fault-free environment as illustrated by a real-world scenario.
Patterns in IoT-Based Healthcare
Authors: Mehta Rishika , Sahni Jyoti , Katti Anvesha , Khanna Kavita
Published: February 2024

The advent of internet of things (IoT) and wearable technologies have created immense possibilities which are fundamentally altering the way healthcare services are provided. Lately, these advancements have garnered substantial attention due to their ability to support multiple healthcare scenarios. Wearables are a significant component of a healthcare IoT network which are embedded with sensing devices and analytical techniques that enable monitoring and evaluation of vital activities. Although applications of wearable technology and the IoT in healthcare have been reviewed extensively in literature, a healthcare application specific review is missing. Therefore, the chapter offers a comprehensive overview of the IoT healthcare applications and relevant wearable technology including the types of sensors used and data collected for different dimensions of healthcare. The chapter further examines the challenges hindering the adoption of IoT based healthcare devices and outlines the future research directions.
The Impact of Federated Learning on AI-Enhanced Healthcare Delivery
Authors: Shahi Archana , Mittal Amit
Published: February 2024

Federated learning has recently emerged as a promising methodology in healthcare, seamlessly integrating with machine learning models to glean insights from distributed healthcare databases while prioritizing data privacy and security. This systematic literature review provides a comprehensive analysis of federated learning's current state in healthcare, highlighting trends in its fusion with AI and its advancements in analyzing medical reputation and predicting potential gains. The ethical and technical aspects of successful implementation and adoption to drive AI in healthcare are discussed. In conclusion, the integration of AI in healthcare is an evolutionary force, revolutionizing medical practices, treatment, patient care, and diagnosis, with federated learning playing a pivotal role in enabling collaborative, privacy-preserving, and data-driven healthcare transformations.
Intrusion Detection and Prevention Techniques in FL Cloud-Based Healthcare 5.0
Authors: Vashishth Tarun Kumar , Sharma Vikas , Sharma Kewal Krishan , Kumar Bhupendra , Chaudhary Sachin , Panwar Rajneesh
Published: February 2024

Federated learning (FL) in Cloud-based Healthcare 5.0 presents new opportunities for healthcare institutions to collaborate and leverage collective knowledge while ensuring data privacy and security. However, this collaborative and distributed nature also introduces new challenges in terms of intrusion detection and prevention. This chapter provides a comprehensive review of various intrusion detection and prevention techniques specifically tailored for FL Cloud-based Healthcare 5.0 environments. The abstract explores different approaches, including machine learning-based anomaly detection, blockchain technology for secure data sharing, real-time intrusion prevention at the edge, and threat intelligence sharing mechanisms. It analyzes the advantages and challenges associated with each technique and emphasizes the importance of ensuring regulatory compliance and safeguarding patient data. Additionally, the abstract addresses emerging technologies and federated cloud security frameworks to enhance intrusion detection and prevention in FL Cloud-based Healthcare 5.0.
Machine Learning in Cybersecurity
Authors: Prasanna Kumar  , Gowda Darshini Y. , Prakash Ashwini M.
Published: February 2024

In the digital age, cyber-attacks and data breaches pose complex challenges for organizations operating in cyberspace. Machine learning offers a promising solution to detect and prevent these threats, addressing issues like malware, ransomware, fraud, and spoofing. This chapter explores machine learning's role in cybersecurity, discussing algorithms and their applications in intrusion and malware detection. It also examines challenges and limitations in employing machine learning for cybersecurity. Providing valuable case studies, the chapter serves as a useful reference for researchers developing intelligent security systems.
Paksikalpana Prakriya of Taittiriya Upanisad and Its Relevance in Understanding the Personality and Health Status of an Individual
Authors: Jagannathan Nrithya
Published: February 2024

The Indian philosophico-literary tradition presents multiple ways of looking at and understanding the body-mind-senses complex and contemplating on its relationship to the immutable ātman, the consciousness within. In this context, one such Vedāntic approach, known as pañcakośa - pakṣīkalpana prakriya, is a Vedāntic model, with the view to arrive at that single unitary source of all – Brahman, through an elaborate process of self-enquiry and firsthand experience. However, from a practical and application-oriented perspective, this model offers a highly nuanced method of understanding the complex dynamics between the different dimensions of the human system and how each of these five dimensions inform and influence others. Through this lens, this model offers an insight into the development of human personality, the challenges imposed by the formation of patterns both positive and negative, and the means to manage these intra-system dynamics.
Mindfulness at the Workplace
Authors: Moharkonda Priyadarshini Srinivasan , Rithani J. M. , Shakshitha S. , Moharkonda Srinivasan Balakrishnan , Andi Hari Krishnan
Published: February 2024

This study explores the evolving landscape of mindfulness interventions in the dynamic realm of Indian corporations, examining strategies adopted by industry leaders like Google, Intel, IBM, and Happiest Minds. The review analyzes the effectiveness of mindfulness techniques in the workplace, emphasizing positive outcomes while acknowledging inherent complexities and challenges. It delves into diverse mindfulness-based interventions, like MBSR and MBCT, and their impact on employee well-being and organizational outcomes. The nuanced perspective considers the multifaceted nature of mindfulness, its roots in diverse religious traditions, and its contemporary secular manifestations within organizational contexts. The study understanding of the intricate interplay between mindfulness, workplace dynamics, and employee mental health. Overall, this research contributes to the growing body of literature on mindfulness in the workplace, shedding light on its evolving role in enhancing holistic employee health and well-being in the context of the fourth industrial revolution.
Role of Mindfulness-Meditation Practices in Cognitive Functions at the Workplace
Authors: Patangia Bishal , Sarkar Sampreeti , Antony Janis Maria
Published: February 2024

Practices of mindfulness and meditation have drawn a lot of attention recently, both inside and outside of traditional Eastern cultural contexts. An extensive investigation of the effects of mindfulness and meditation activities on cognitive abilities at work is provided in this chapter. The study synthesizes literature to show the varied impacts of various activities, with a focus on attention, memory, decision-making, and executive functioning. It shows their potential to improve cognitive performance at work by examining their impact across cognitive domains, such as attentional concentration, working memory, and cognitive flexibility. By investigating neuroscientific basis using methods like fMRI and EEG, the inquiry goes into the fundamental neurological systems. The study also reveals moderating factors that affect how mindfulness therapies relate to cognitive results. Findings highlight how mindfulness and meditation activities might improve cognitive processes in circumstances when they are used professionally.
Exploring the Potency of Ancient Wisdom
Authors: Neyah Ruth , Vijayakumar M.
Published: February 2024

The goal of this chapter is to examine India's rich history of traditional medicines and how they might improve mental health. Ayurveda, yoga, and meditation are a few of the holistic healing practices that have a long history in India and have been utilized for ages to support mental, emotional, and spiritual harmony. This chapter will explore the special features of conventional Indian remedies and practices that support mental health. It will go through important elements, including herbal treatments, dietary suggestions, lifestyle changes, mindfulness, and energy healing modalities, focusing on their function in reducing stress, anxiety, and depression, as well as enhancing general mental health. The chapter will examine scientific studies and clinical data that support the effectiveness of traditional Indian remedies in promoting mental health. It will also examine opportunities and obstacles for incorporating conventional Indian medicine into contemporary mental health care.
Harnessing Digital Technologies for References Services in Academic Libraries
Authors: Mupaikwa Elisha
Published: February 2024

Academic libraries' reference services have continued to diversify thanks to digital technologies. The use of digital technologies to support reference services in academic libraries is covered in this chapter. The study is a review of published works in scholarly journals. The study's conclusions indicate that there is a shift toward digital references globally. Emails, Facebook, and Twitter were the most widely used technologies, although real-time reference services powered by artificial intelligence technology were rarely used. Some users favoured in-person reference services they concurred that digital reference services were superior. The chapter highlighted how academic libraries frequently struggle with inadequate financing, outdated infrastructure, and a lack of user and staff education. The study suggests making investments in the infrastructure of digital technology and educating library users on the advantages of utilizing digital reference services.
Fluctuation of Emotion in Stress and Different Coping Mechanisms During the COVID-19 Pandemic
Authors: Kumari Saroj , Ranjan Piyush , Srivastava Priyanka
Published: February 2024

Naturalist Charles Darwin was the first to rationalize the importance of emotions. Emotions are key factors that set up the body to adapt to things like apprehension and outrage and amplify one's possibilities of endurance and achievement. The lockdown limitations and fear and consequences of infectious infection brought the whole world to a halt. Humans across the globe have realized the unpredictability of life and let go of the need to control it. This situation not only has surged the suicidal rates, domestic violence, job insecurities, grief, scarcity of basic needs, but also took a positive turn in human development. Many people felt calm, enjoyed the family bond, went back to their basic survival skills, came close to humanity, and many other realizations. This chapter provided a critical analysis of human emotions at the time of stress and different coping mechanisms adopted by the most successful species on the planet. It throws light on the different spectrums of psychosocial behaviour. The authors provide a topography of human emotions during COVID-19 pandemic.
Artificial Intelligence (AI) in Academic Libraries
Authors: Naikar Satishkumar , Hatti Shashikumar , Paul Megha , Swamy Rani K.
Published: February 2024

Artificial intelligence (AI), which has taken over many industries, is thought of as a continuation of human intelligence. Artificial intelligence applications in libraries have revolutionized the information industry. Many human talents, including calculation, reading, speaking, grasping, remembering, making decisions, and interactive learning, can be stimulated by technological improvements. It is believed that the use of artificial intelligence in virtual reference services will offer libraries a new online service paradigm. Virtual reality is a useful feature that engages users with libraries and improves information literacy abilities. Librarians are always utilizing cutting edge technologies to improve services for their patrons. The chapter covered some AI components, library services to which it can be applied, the benefits of its application, and the problems libraries encounter when implementing artificial intelligence in the library.
The Design Model of Educational Scenarios in an Adaptive Online Collaborative Learning System
Authors: Zargane Kawtar , Erradi Mohamed , Khaldi Mohamed
Published: February 2024

Learning on adaptive e-learning platforms occupies a main role in the revolution, various pedagogical technologies, and collaboration to create educational scenarios in collaborative systems during adaptive e-learning activities. The main objective of this work is to present collaborative adaptation scenarios in an online collaborative adaptive system during adaptive learning activities in order to group learners in a collaborative space to discuss with each other and develop the aggregation of knowledge. This is about fostering adaptive collaboration. The author discuss the effectiveness of the ADDIE method with this adaptive scenario that group's collaborative adaptive content between the group and the collaborative learning system to provide an engaging online learning experience focused on skill development problem-solving practices. As a result, they meet their objective of designing collaborative scenarios in an adaptive system. The authors value collaborative learning through the interpretation of data generated by the system so that an online collaborative environment surrounds learners.
Adaptive AI-Driven Assessment for Competency-Based Learning Scenarios
Authors: Waladi Chaimae , Lamarti Mohammed Sefian
Published: February 2024

In the realm of competency-based education, the integration of adaptive AI-driven assessment strategies brings forth a paradigm shift in evaluating learner mastery. This chapter delves into the intricacies of designing learning scenarios that seamlessly blend pedagogy with AI algorithms to offer personalized, data-informed assessments. By meticulously selecting objectives, designing pedagogical approaches, and orchestrating learner activities, educators create a foundation for adaptive assessment. The integration of AI algorithms enhances evaluation precision, enabling real-time identification of learning gaps and strengths. This chapter delves into the application of machine learning algorithms for tailored feedback, remediation, and ongoing supervision, fostering a learner-centric environment. Through real-world cases and innovative practices, educators gain insights into crafting assessment systems that empower learners to excel in a competency-driven landscape.
Exploring Instructional Design's Role in Learning Enhancement
Authors: Amzil Ikram , Tagdimi Zakaria , Jdidou Youssef , Aammou Souhaib
Published: February 2024

This chapter explores the crucial role of instructional design in the fields of education and learning. Instructional design is the purposeful method of creating learning experiences that are not only efficient and captivating but also intricately synchronized with educational goals. In the constantly changing environment of education, where technology and teaching methods intersect, instructional design emerges as an essential driver of improved learning experiences. The chapter provides a comprehensive exploration of the theoretical underpinnings of instructional design, delving into its historical origins rooted in behaviorism, constructivism, and connectivism. It underscores the importance of learner-centered design and the utilization of diverse instructional methods to foster immersive and impactful learning experiences.
The Role of Technology in Teaching Arabic
Authors: Meskine Souad
Published: February 2024

Teaching Arabic has evolved beyond traditional classroom settings as the integration of cybernetics and distance learning has become essential. This necessitates investment in computer technologies and electronic software, empowering learners to actively participate in the learning process and choose methods that suit their preferences. These approaches align with the sensorimotor tendencies and cognitive abilities of learners, facilitating reading, writing, and communication skills in Arabic. The chapter explores the significance of technology in simplifying Arabic language learning and highlights key features of electronic software models designed for Arabic language acquisition. Additionally, the chapter addresses fundamental questions, including the unique aspects of Arabic language learning techniques, their impact on enhancing Arabic language teaching, the alignment of Arabic language teachers' professionalism with technological advancements, and the role of technology and information technology in promoting the widespread use of the Arabic language.
The Application of Flipped Classroom Information Technology in English Teaching in the Context of 6G Network
Authors: Bi Xiu , Ye Shuping
Published: February 2024

In the 6G network environment, the flipped classroom teaching mode has broader prospective applications for improving the drawbacks of traditional classroom teaching methods. This study aims to explore the advantages of the flipped classroom teaching mode in the 6G network environment and provide feasible teaching strategies and guidance for English teachers. First, the authors collected information about Chinese English learners. Next, they divided the obtained dataset into two groups: the control group and the experimental group. The students in the control group continued to use traditional teaching methods for English teaching, while the students in the experimental group adopted a flipped classroom teaching mode supported by 6G technology. The results indicate that flipped classroom information technology in the 6G network environment has a good effect on English teaching. This article provides a useful reference for the education field and promotes the application of flipped classroom information technology in English teaching in the 6G network environment.