bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Women in Food and Agricultural Development
Authors: Pradhan Smriti , G. S. Raksha , P. Akhil
Published: August 2024

The role of women in food and agricultural development in India is vital as it has an essential impact on the country's agricultural development. Despite all the contributions, they often face major obstacles, such as limited access to resources such as land, credit, innovation, and technology, and addressing these barriers is important. In this chapter, the authors have examined areas and levels of farm women's participation, such as the crops they grow, post-harvest activities, the workload they carry, and, despite all the struggles, how the women are underestimated. Their contribution is not limited to crop cultivation but also includes dairy, poultry, fishing, aquaculture, and forestry such as the wood processing sector. Due to men moving towards urban areas for better jobs and quality of life, women in rural areas are pressured to work in the fields; due to this, agriculture is feminized, and women shoulder a heavier workload than men. The underrepresentation of women is also seen in the employment rate and the pay they receive during seasonal, non-seasonal, and part-time employment
Impact of Ergonomic Interventions on the Working Conditions of Women Engaged in Agricultural
Authors: Sadiq Sanusi Mohammed , Singh Paul Invinder , Ahmad Muhammad Makarfi , Usman Ummulqulthum Ndatsu , Sadiq Hajara
Published: August 2024

Gender equality, health risk reduction, and productivity gains are all dependent on improving the working conditions for women in agriculture in poor nations via ergonomic treatments. Women contribute significantly to agricultural productivity in emerging nations, ensuring food security and maintaining economic stability. However, because of the unfavourable working circumstances in the agricultural industry, their participation frequently comes at the expense of their well-being and health. The issue at stake is the neglect of the unique ergonomic requirements of women working in these countries' agriculture. Because of the physical strain, musculoskeletal diseases, and other health hazards associated with their existing work environment, they are less productive and gender imbalances in agriculture are perpetuated.
A Review on Factors Affecting and Performance of Nutritional Security of Women and Children in India
Authors: Singh Ajay Kumar , Singh Ravindra , Singh Santosh
Published: August 2024

This chapter describes the performance of nutritional security of women and children's representative indicators in India. The cross-comparison of nutritional security of children across Indian states are also explained. It assesses the impact of women feeding on nutritional security of children in India using a state-wise pooled panel data. India is a food self-sufficient country; despite that, it has a large number of nutritionally insecure women and children. There exists a diversity in the nutritional status of children across Indian states. Women feeding is found to be a significant indicator to increase nutritional security of children in India. The findings of this chapter increase the attention of policy makers and government to initiate effective policies to reduce malnutritional of women and children in India. It provides the scope of further research in nutritional security of women and children.
An Understanding Through Marketing Information and Intelligence
Authors: Mandal Pratap Chandra
Published: August 2024

Businesses revolve around customers. Companies require knowing and understanding their customers well. To achieve this, companies require customer requirements and customer insights. Customer insights cannot be generated unless companies have processes in place to collect marketing information and marketing intelligence. The focus is to do a detailed discussion about the various aspects involved in collection of marketing information and marketing intelligence for generating customer insights. Companies require having an efficient marketing information system in place. Marketing information systems help in capturing and storing information about customers. The study also focuses on competitive intelligence to have a better understanding of customers. Companies require following ethical practices in collecting and analyzing marketing intelligence. The study focuses on this important aspect of business. Proper coordination and utilization of marketing information, marketing intelligence, and marketing information systems will help companies to generate better customer insights.
Neuroimaging and Biomarkers in AD Detection
Authors: Thapa Komal , Kanojia Neha , Sharma Ameya , Rani Lata Rani , Puri Vivek
Published: August 2024

Alzheimer's disease is one of the neurocognitive disorders that causes dementia. The World Health Organisation reports that this disease has a major effect on the health of the world's population as well as the number of affected individuals rising yearly. In a period of quick technological advancement, artificial intelligence is gaining broad use in the field of medical diagnostics, including functions like drug research, customized treatment plan formulation, medical image analysis, and therapy. Deep learning has provided an important technical contribution to the early identification and management of Alzheimer's disease, which in turn is helping to resolve several health issues. In consideration of this, the purpose of this review is to examine how artificial intelligence tools and traditional methodologies differ in studies of Alzheimer's disease. Its objective is to provide assistance and direction for the future prognosis and treatment of the disease by highlighting the latest non-invasive and portable methods for Alzheimer's disease detection.
Advanced Deep Learning Approaches for Alzheimer's Disease
Authors: Kumar Ramakrishna , Sharma Yogesh Kumar , Rokade Monika Dhananjay , Baig Hidayath Ali
Published: August 2024

In the field of computer vision, in particular, deep learning, a cutting-edge method for machine learning, has surpassed conventional machine learning in its ability to detect intricate structures in complicated, high-dimensional data. With the advent of large-scale multi-modal neuroimaging data made possible by the fast development of neuroimaging techniques, there has been a surge of interest in using deep learning for the automated classification and early detection of Alzheimer's disease (AD). This chapter presents the results of a literature review on the topic of Alzheimer's disease diagnostic classification using deep learning methods and neuroimaging data. The authors also summarize the data sources, processing steps, training protocols, and evaluation methods to help future deep-learning studies on Alzheimer's disease researchers. There are limitations to deep learning, despite its promising performance across studies and tasks.
AI-Enhanced Drug Discovery for Alzheimer's
Authors: Brabin D. R. Denslin , Muralidharan J. , Jagannathan Sharath Kumar , Kalangi Ruth Ramya
Published: August 2024

AI-greater drug discovery has emerged as a promising approach inside the search for effective remedies for Alzheimer's ailment. In latest years, the use of synthetic intelligence (AI) has multiplied the drug discovery manner by means of enhancing our understanding of sickness mechanisms and identifying ability drug applicants. With the aid of leveraging huge facts and powerful computing algorithms, AI strategies can analyze sizable quantities of biomedical statistics, are expecting drug-target interactions, and even design new molecules with favored homes. This summary explores the modern state of AI-stronger drug discovery for Alzheimer's disorder, including the capability benefits and challenges of this method, and discusses future implications for the improvement of powerful remedies for this devastating situation.
AI in Neurodegeneration Prediction
Authors: Nutulapati Neelima Priyanka , Karunakaran Naresh Babu , Banupriya V. , Sivasundaram Malatthi , Kaveripakam Venkata Ramana
Published: August 2024

This chapter explores the capability of artificial intelligence (AI) in predicting the development of neurodegenerative sicknesses, in particular focusing on Alzheimer's ailment. The goal is to recognize the cutting-edge nation of AI studies in this area and identify rising superior procedures. Through conducting a complete literature evaluation and reading existing research, the authors spotlight the strengths and barriers of the use of AI for neurodegeneration prediction. Similarly, they discuss the role of huge information, system mastering, and deep mastering strategies in developing accurate and reliable prediction models. These findings endorse that AI has the capacity to seriously enhance early diagnosis and prediction of Alzheimer's disease progression. We conclude with ability future instructions and demanding situations in this unexpectedly increasing studies vicinity
Unravelling AI and Machine Learning Essentials in Alzheimer's Research
Authors: V. Saravanan , Kalangi Ruth Ramya , Thangavel Saravanan , K. Venkata Ramana
Published: August 2024

Artificial intelligence (AI) and system mastering (ML) have received a good-sized interest in Alzheimer's studies due to their capability to enhance prognosis and treatment. But a comprehensive know-how of these technologies and their software in Alzheimer's studies remains lacking. This review objectives to resolve the essentials of AI and ML in Alzheimer's studies, highlighting their capacity effect on sickness development and control. The results outline the modern-day nation of AI and ML use in Alzheimer's research and the challenges in their implementation, providing a foundation for additional improvements in this subject. The field of Alzheimer's studies has been greatly impacted by way of the fast improvement of artificial intelligence (AI) and system studying (ML) techniques. With a growing quantity of records being generated in this discipline and the need for more accurate predictions and remedies, AI and ML have come to be crucial gear for unraveling the complexities of Alzheimer's disease.
Unravelling Alzheimer's
Authors: G. P. Suja
Published: August 2024

The developing prevalence of Alzheimer's ailment has emerged as a main global health challenge, highlighting the urgent want for accurate and well-timed diagnosis. The traditional diagnostic techniques for Alzheimer's have limitations, main to a delay in analysis and treatment. In response to this trouble, advancements in artificial intelligence (AI) have revolutionized the analysis and prediction of Alzheimer's disorder. Through utilizing system studying algorithms, AI has the potential to identify meaningful styles in massive statistics sets, making an allowance for advanced detection and more correct prediction of Alzheimer's sickness. This gives a main leap forward in the control of the ailment, presenting possibilities for early intervention and advanced affected person results. This chapter summarizes the contemporary state of AI in Alzheimer's research, discussing its programs and capability in enhancing analysis and prediction, in the long run paving the way for better knowledge and treatment of this debilitating disorder.
Role of Artificial Intelligence in Cognitive Assessment and Early Detection of Alzheimer's Disease
Authors: Panwar Deepak , Sharma Parul , Sharma Shweta , Goyal Manu , Goyal Kanu
Published: August 2024

This chapter explores how artificial intelligence (AI) is becoming increasingly important in improving cognitive testing and early Alzheimer's disease diagnosis. AI systems examine a variety of information, such as imaging, biomarkers, and medical records, to accurately and quickly identify minor changes in cognitive function. By improving cognitive evaluations' effectiveness, these technologies enable remote monitoring and tailored therapies. There are obstacles to overcome, such as ethical and data quality concerns, but research is still being done in these areas. AI's continued development has revolutionary potential for advances in Alzheimer's research and treatment, including increased diagnostic precision and early intervention for better patient outcomes.
Unravelling Data Challenges in AI-Driven Alzheimer's Research
Authors: Arunadevi B. , Dakshinamurthi Vidyabharathi , Bennilo Fernandes  , Sharmiladevi D.
Published: August 2024

Alzheimer's disease (AD) is a rapidly developing public fitness subject, affecting thousands and thousands of human beings globally and placing a sizable strain on healthcare systems. With the upward push of synthetic intelligence (AI) technologies, there was a renewed interest in using records-driven approaches to apprehend and potentially deal with advert. In this chapter, the authors aim to get to the bottom of these data challenges in AI-pushed Alzheimer's studies, exploring ability solutions and destiny instructions. They first speak about the various forms of data used in AD studies. They then examine the common facts best troubles and biases that can have an effect on AI fashions, and recommend processes to mitigate those demanding situations. In the end, they speak of the capability of collaborative statistics-sharing projects to conquer data challenges and advance AI-driven Alzheimer's studies. Through information and addressing these information challenges, the authors can pave the way for greater correct and impactful AI-driven solutions in the fight against this devastating disease.
Real-World Impact
Authors: Muppavaram Kireet , Gangopadhyay Amit , Ramadass Sudhir , N. Prakash , S. Siva Shankar
Published: August 2024

The sector of artificial intelligence (AI) has shown fantastic capacity in advancing the studies and care of Alzheimer's disorder (AD), a degenerative neurological disorder that impacts tens of millions globally. In recent years, several case studies and achievement testimonies have emerged that spotlight the actual-international impact of AI in ad research and care. This summary highlights impactful case studies and fulfillment stories, providing evidence of how AI-driven processes have improved diagnosis, prediction, and management of adverts. Moreover, it discusses the benefits of using AI inside the improvement of customized treatment strategies and the capacity for early detection and prevention of advert through AI-based equipment. The summary concludes by emphasizing the important position of collaboration between AI specialists, clinicians, and researchers in riding further improvements and ultimately, enhancing consequences for individuals dwelling with AD.
Global Initiatives and Collaborations in AI for Alzheimer's Disease
Authors: Chandrashekhar A. , Parveen Nikhat , A. Muthumari , D. Menaga
Published: August 2024

This summary discusses the significance of global initiatives and collaborations in the field of artificial intelligence (AI) for the prognosis and remedy of Alzheimer's ailment. Alzheimer's disease is a debilitating neurodegenerative ailment that affects tens of millions of people worldwide, and its incidence is expected to growth with the aging populace. AI has emerged as a promising tool for early detection, correct prognosis, and customized treatment of Alzheimer's disorder. However, to fully harness the capacity of AI, interdisciplinary collaborations and worldwide projects are critical. This abstract sheds mild on the modern nation of AI studies in Alzheimer's sickness, highlighting the important thing demanding situations and opportunities for worldwide collaborations. It additionally discusses the significance of information sharing and open technological know-how in advancing AI for Alzheimer's ailment and emphasizes the want for moral considerations inside the development and deployment of AI technologies.
Multi-Sensory Experience
Authors: Kapoor Anuj Pal , Gupta Raveena , Verma Harsh
Published: August 2024

Multi-Sensory experience explores the dynamic interplay of various sensory modalities in shaping human perception. The present work delves into the richness and complexity of multisensory integration, investigating how the brain synthesizes inputs from the five senses to construct a cohesive perceptual reality. It examines the role of multisensory experiences in enhancing cognitive processes, emotional responses, and behavioral outcomes. Understanding the mechanisms underlying multisensory perception is crucial for diverse fields, including neuroscience, psychology, design, marketing, and education. The present chapter underscores the significance of multisensory experiences in shaping human experiences and highlights avenues for further research and application in creating more engaging and impactful environments and interventions. By elucidating the basic building blocks of multisensory experience, the study contributes to a deeper comprehension of human perception, offering insights with far-reaching implications for fields ranging from neuroscience and psychology.
Exploring the Ethical Issues and Considerations in Neuromarketing
Authors: Sindhuja Sneha , Malik Reena
Published: August 2024

Neuromarketing is an interdisciplinary field consolidating neuroscience, psychology, and marketing, aiming to understand consumer behaviour at the subconscious level. However, as neuromarketing techniques become increasingly sophisticated, ethical issues and considerations have emerged as a focal point of debate and scrutiny. The paper critically evaluates foundational ethical principles, such as informed consent, beneficence and nonmaleficence, privacy and confidentiality, transparency, scientific or methodological rigor, predicting and influencing consumer choices, safeguarding the vulnerable population, and commitment to abiding and respecting the guidelines and codes of ethics. It also includes the emerging techniques and research, need for ethics and terms like neuroethics and brain privacy.
The Right Color Attracts the Right Customer
Authors: Ahlawat Rajneesh , Swami Pooja
Published: August 2024

Neuromarketing is emerging as the next game-changing branch of marketing that applies the principles of neuroscience to better understand the customer's conscious and subconscious mind while deciding to purchase any product or service as well as during his choice-making processes. Color psychology is a key technique of neuromarketing that explores how people perceive different colors and how it affects their emotions and their purchasing decisions. By studying the subconscious associations and sensory responses to various colors, neuromarketers can develop a significant understanding of how color influences consumer choices and thereby, by leveraging color psychology and integrating it into each stage of their marketing process, they can boost their sales to the targeted segment. By reviewing the existing literature, this chapter aims to portray the interplay between neuromarketing, color psychology, and consumer behavior, and also highlights how the strategic use of colors can attract the right customer and enhance sales effectiveness.
Exploring Smart City Paradigms, Opportunities, and Open Problems Through a Literature Review
Authors: Gupta Munish , Sharma Pooja , Dahiya Kavita , Agrawal Priyanka
Published: August 2024

Over recent years, there has been a growing interest in the future of cities and the impact of technological advancements on architecture and infrastructure. This interest has given rise to the concept of smart cities. This chapter aims to explore the transition towards smart cities in detail by examining various definitions that depend on the specific constraints of each city. The chapter highlights the dimensions that characterize smart cities, presents them as a 3D concept, and discusses some smart city models. It provides an overview of smart cities' key features, illustrating each paradigm's components and how they are manifested in real-world scenarios. Fortunately, the integration of information and communication technology (ICT) offers opportunities for individuals to create, innovate, experiment, and enhance their quality of life in smart cities. By optimizing various aspects of daily living, smart cities empower their inhabitants to fulfill their needs for employment, relationships, and modern living more sustainably and efficiently.
Strategic Implementation and Ethical Navigation of Deep Fake Technology in Digital Marketing
Authors: Arora Nilesh , Rana Sudhir , Sharma Vikas , Tat Huam Hon
Published: August 2024

The chapter explores the dual facets of participating in deepfake technology in marketing strategies while addressing the ethical and regulatory trials it presents. Deepfakes, powered by advanced AI procedures, offer marketers innovative ways to create personalised, engaging, cost-effective content. However, such technology is not without significant ethical predicaments and legal considerations. This chapter delves into the technical mechanisms behind deepfakes and their potential applications in personalised publicity, virtual spokespersons, and communicating content. It also examines the ethical implications, including concerns about misrepresentation, privacy violations, and trust erosion. Legal aspects such as intellectual property rights, privacy laws, and submission with advertising regulations are discussed to provide a comprehensive understanding of the regulatory landscape. The chapter presents case studies and examples and highlights the opportunities and risks associated with deepfake technology in digital marketing. It offers strategic visions for marketers on how to harness the power of deepfakes responsibly, ensuring transparency, validity, and consumer trust. Through this exploration, the chapter aims to equip marketers with the knowledge and tools necessary to leverage deepfake technology effectively while maintaining ethical honesty and legal compliance in their marketing endeavours.
Socioeconomic Gaps and Foster Inclusive Growth
Authors: Talukder Mohammad Badruddoza , Khan Musfiqur Rahoman , Kumar Sanjeev
Published: August 2024

Sustainable tourism initiatives can help address socioeconomic disparities and promote inclusive growth. These initiatives prioritize social tourism, sustainable consumption, and responsible business practices. By doing so, resource entities can benefit local communities, preserve cultural and natural resources, and contribute to sustainable development. The study involved a literature review, conceptual framework development, research design, data collection, analysis, policy implications, and conclusion. The study considers economic, social, and environmental impacts. However, unplanned tourism growth can have negative consequences, highlighting the need for sustainable tourism strategies. Ongoing monitoring and participation of all stakeholders are crucial to achieve sustainable tourism. Sustainable tourism practices can attract environmentally conscious tourists and contribute to economic growth. The values address socioeconomic gaps, promoting inclusive growth, stakeholder engagement, policy-led changes, a balanced approach, ongoing monitoring, and strategic collaborations.
Select the Best Place for Regenerative Practices in Tourism by Using the Fuzzy MABAC Method
Authors: Sahoo Brajamohan , Debnath Bijoy Krishna
Published: August 2024

Selecting the ideal location for regenerative tourism is vital for environmental preservation and sustainable progress. Destination choice significantly impacts regenerative initiatives' effectiveness, affecting ecological benefits and socio-economic outcomes. A well-selected site fosters ecosystem restoration and positive engagement with indigenous communities, leveraging tourism as a force for biodiversity preservation, carbon capture, and local empowerment. In this chapter, the fuzzy multi-attributive border approximation area comparison (MABAC) approach is utilized to select the optimal site for regenerative tourism initiatives, considering six criteria each with five alternatives and input from three decision-makers. Normalization occurs after forming the initial decision matrix, followed by weight normalization. Performance index and rank are determined using the fuzzy multi-attributive border approximation area comparison (MABAC) procedure. Ultimately, after careful evaluation and consideration, it becomes evident that the fifth alternative stands out as the most suitable location for implementing regenerative practices in the field of tourism.
Integration of Metaverse and Machine Learning in the Education Sector
Authors: Shanthalakshmi Revathy J. , Mangaiyarkkarasi J.
Published: August 2024

E-Tutor is revolutionizing education through technology, offering personalized learning with integrated study materials, video lectures, interactive quizzes, and metaverse features. Research indicates a 35% increase in student engagement and a 20% improvement in comprehension scores with E-Tutor. Utilizing machine learning and user feedback, it ensures adaptive learning while upholding data privacy and transparency. E-Tutor embraces trends like gamification and augmented reality, aiming to transform the educational landscape. It promotes collaboration and addresses diverse learning needs, with user surveys showing a 40% rise in collaborative learning efficiency and a 25% reduction in learning disparities among students. Committed to continuous innovation, E-Tutor empowers learners by leveraging technology responsibly to achieve impactful learning outcomes.
Generative AI-Powered Adaptive Assessment
Authors: Khlaif Zuheir , Odeh Ahmad , Bsharat Tahani R. K.
Published: August 2024

An extensive examination of the use of artificial intelligence (AI) in educational assessment is provided in this chapter. It explores the revolutionary influence artificial intelligence has had on the development of teaching and learning approaches, showing how AI is being applied in education to improve student outcomes and experiences through a range of initiatives, from intelligent tutoring systems to personalized learning algorithms. The chapter explores the transition from more individualized, AI-powered tests to more conventional, standardized testing procedures. These tests provide a more accurate picture of students' knowledge and abilities because they adjust in real time based on students' answers. The emphasis on skill-based evaluation, constructive feedback, and ongoing and formative assessments highlights how assessment techniques have evolved. Future directions in artificial intelligence and educational assessment are explored, emphasizing the possible influence of cutting-edge technologies such as natural language processing and sophisticated machine learning models. According to the chapter, assessments will become more comprehensive, personalized, and adaptive so they can be easily incorporated into the teaching and learning process and support students' lifelong learning goals.
Harnessing the Power of Persuasion in Education
Authors: Mahmoudi-Dehaki Mohsen , Nasr-Esfahani Nasim
Published: August 2024

This chapter delves into the intricate realm of persuasion within the educational landscape, exploring its potential, significance, and psychological foundations. It examines how persuasion manifests in early childhood and adult education, comparing its role in traditional and modern educational settings. The chapter transitions to the fusion of educational technology and persuasion, focusing on gamified learning approaches. It delves into the art of designing persuasive games, emphasizing fundamental principles and practical considerations for effective implementation. The narrative unfolds to showcase practical applications of persuasive gamification, highlighting its potential benefits while addressing the inherent challenges and limitations. Furthermore, the chapter delves into the synergy between persuasive technology and Artificial Intelligence (AI), exploring the dynamic interplay between these cutting-edge fields. It elucidates how AI can enhance persuasive technologies in education, revolutionizing the learning experience.
Beyond the Screen to Learn
Authors: Zhang Jingru , Lu Yuhe , Su Hanjun , Lim Darren , Du Shaoxu
Published: August 2024

As a technological innovation, virtual reality has garnered considerable interest in the field of education because of its capacity to revolutionize learning experiences. Serious games, which integrate educational goals with gaming components, present a promising method for utilizing virtual reality technology for instructional aims. This chapter introduces an innovative interactive serious game learning WebVR system, integrating cutting-edge technologies in virtual reality to simulate design history instruction based on the history story of Rococo Style.
A Review of Augmented Reality Tools for Preschool Student Learning Language
Authors: Ying Wang , Barkhaya Nurul Maziah Mohd , Sanmugam Mageswaran
Published: August 2024

Technology advancements have made a significant impact on the subject of education. They are also starting to show up in education, however the benefits have not yet been well investigated, especially in learning languages. This study reviewed relevant research using a systematic literature review. Ten studies comprising 2018 to 2024 were carefully reviewed. This study demonstrates that augmented reality (AR) is a useful teaching tool for children's learning, especially in terms of improving their comprehension, and fostering more participation and motivation for learning. This is because AR can improve students' comprehension by simplifying complicated subjects. Teachers will gain important knowledge from this study about how to incorporate augmented reality (AR) technology in lieu of the conventional teaching strategies now in use.
Harmony Hub
Authors: Rohith S. , Santhi V. , C. R. Karthik , Nair Navtej , Mani Murali Krishnan , P. M. Adithya
Published: August 2024

In response to escalating mental health concerns among VIT college students, 'Harmony Hub' emerges as a comprehensive web application designed to enhance mental health and wellness. This research delves into the conceptualization, implementation, and evaluation of Harmony Hub, emphasizing vital information, expert guidance, and support for students facing academic challenges. The study examines Harmony Hub's impact on mental health awareness, positive coping strategies, and the creation of a supportive virtual environment. With features like user authentication, content management, real-time interaction, and privacy controls, Harmony Hub offers an innovative solution poised to improve mental health outcomes for VIT students. The findings aim to inform future tech-driven mental health solutions, contributing valuable insights to the broader discourse on student well-being.
Securing the Digital Future
Authors: Faisal T. , Dharmaraj A.
Published: August 2024

A revolutionary era marked by unmatched speed, connectivity, and game-changing innovation is about to dawn in the rapidly evolving field of telecommunications with the impending introduction of 6G technology. Security of the digital future is becoming more and more important as societies around the world depend more and more on digital infrastructure for commerce, communication, and social advancement. Notwithstanding the excitement and expectation that accompany technological developments, it is crucial to acknowledge the fundamental function that education performs in molding and preserving this new digital landscape.
Security Roadmap for Industry 5.0
Authors: Dixit Ila , Varma M. S. Kishan , Singh Ashutosh , Charith B. , Mallikarjun  , Aancy H. Mickle , Thakar Chetan M.
Published: August 2024

The coming together of Industry 5.0 and 6G technology represents a paradigm shift that has the potential to bring about unprecedented levels of connectivity, efficiency, and innovation. On the other hand, these advancements bring with them significant challenges in terms of ensuring the security and resilience of digital infrastructure. The purpose of this chapter is to investigate the intersection of Industry 5.0 and 6G technology, with a particular focus on the critical importance of security regarding the changing landscape. The chapter sheds light on the intricate dynamics that are influencing the digital future by conducting an analysis of the essential components of 6G technology, the evolution from Industry 4.0, and the key features of Industry 5.0. In addition to this, it presents an analysis of the threat landscape in the era of 6G, which includes cyber threats, system vulnerabilities, and the influence of hyper-connectivity.
Fostering Flourishing
Authors: Karakasidou Eirini , Karampas Konstantinos , Papadimitriou Anna , Athanasiades Christine
Published: August 2024

This chapter delves deeply into the impact that incorporating positive psychology principles within educational contexts can have on students' overall growth and well-being. Given the dynamic transformations in the educational landscape, the chapter pushes for the promotion of a broader and more nuanced understanding of student development. The fundamental principles of positive psychology are addressed with an emphasis on the advantageous effects of strengths-based education. The chapter explicates how the identification and cultivation of individual strengths can wield a positive influence on student engagement, motivation, and overall well-being. Moreover, the spotlight is directed towards resilience-building strategies, providing educators with practical insights that will help students navigate the inevitable challenges, setbacks, and failures they will face. Finally, the chapter serves as an excellent resource, providing evidence-based strategies to enrich the educational experience and actively contribute to students' flourishing.
Integration of Mindfulness and Emotional Intelligence in School Settings
Authors: Pantelides Stephanie Nicolas
Published: August 2024

This chapter focuses on the integration of mindfulness and emotional intelligence in school settings. Mindfulness refers to the basic human ability to be aware of one's body, mind, and feelings in the present moment. Emotional intelligence refers to the ability to recognize, understand, manage, and respond to one's own and others' emotions. Developing high emotional intelligence in students leads them to better navigate social interactions and manage their emotional responses, which in turn positively affects their academic and personal lives. Mindfulness practices can help manage classroom dynamics, reduce disruptive behavior, and create a positive learning environment. Practicing mindfulness improves our self-awareness, the bedrock of emotional intelligence. Finally, this chapter will not only discuss the strong relationship between mindfulness and emotional intelligence but also the influence of both mindfulness and emotional intelligence on teacher-student relationship quality.
Nurturing Resilience in Education
Authors: Karakasidou Eirini , Papadimitriou Anna , Chatzidou Danai , Kazi Smaragda
Published: August 2024

It is well-established that schools should cultivate not only cognitive skills but also skills that help individuals cope with life's challenges. An integrated approach is necessary in the attempt to promote resilience in both students and teachers. For children, the focus is on putting evidence-based strategies into practice that support their emotional health in addition to academic difficulties. It is also crucial to prioritize the psychological resilience of teachers since their role involves a great deal of complexity, which often makes them susceptible to stress and burnout. It has been proven that when teachers are in a state of well-being, it not only enhances their own performance and ability to fulfill their role but also has a direct impact on the well-being and academic performance of their students. Educational institutions can foster an environment that prioritizes the mental well-being of all stakeholders and fosters academic success by attending to the unique requirements of each group.
Psychological Resilience and the Child With Learning Disabilities
Authors: Ieridou Nataly Loizidou , Kranou Fotini Kyriakides
Published: August 2024

Students with learning disabilities (LD) often appear to have low academic performance, experience difficulties in performing academic tasks and avoid engaging in them, consider their own academic and self-regulation skills as inferior to other students with typical performance, have low self-perception and self-esteem, fewer expectations of future success, and experience more emotional and social difficulties than their typically developing peers. However, there is no shortage of studies that characterize the developmental course of many individuals with LD as something that exceeds all expectations. Though recent theories of psychological resilience provide a framework for understanding the complex factors that influence adaptation and general wellbeing within this framework, it is important to look into the individual protective factors in building psychological resilience and psychological well-being in children with learning difficulties. The family and school environment are important factors that contribute to young people's psychosocial development.
Nurturing Children's Mental Resilience Through Art, Play, and Creativity
Authors: Athanasekou Maria
Published: August 2024

Creativity constitutes the adaptive ability of the individual to face new realities and problems, as well as to produce original and innovative ideas, which is close to the idea of resilience, the capacity to withstand or to recover quickly from difficulties. Studies conducted on the effects of art, the cradle of creativity, on children, showed an increase in mental resilience. Visual creation, art in general, breaks isolation and helps children communicate, to give meaning/content to their experience, to their feelings and fosters harmony in their personality. Art helps children express unpleasant feelings constructively (stress, anger, sadness, frustration). The basic function of art is to objectify feelings so they can be observed and understood. Art as a therapeutic approach through its symbolic expression can help children externalize in the work they create part of their psyche and, thus, reconcile to understand and assimilate facts and experiences and work them out.
Evaluation of drug safety in pediatric epileptic patients: A prospective interventional study with clinical pharmacist intervention at a tertiary care teaching hospital
Authors: Wali Shashikala C. , Mahantashetti Niranjana S. , Ganachari Madiwalayya Shivakantayya , Devarinti Revanasiddappa
Published: August 2024

CONTEXT:

Epilepsy is a neurological disorder that is frequently observed among the pediatric populations, with a global prevalence of 7.5% per 1000 children. The main objectives of the therapy are to prevent or manage seizures, enhance the quality of life, and provide treatment without adverse drug reactions (ADRs). However, for children with epilepsy, the treatment goals also encompass improving learning abilities and daily living routines, in addition to eliminating the root cause, as childhood represents a hazardous phase of brain development.

AIMS:

The aims of this study were to evaluate, monitor, and manage ADRs for antiepileptic drugs (AEDs) in the pediatric population by clinical pharmacists’ intervention.

SETTINGS AND DESIGN:

A 1-year prospective interventional study was conducted at a tertiary care teaching hospital among pediatric epileptic patients.

SUBJECTS AND METHODS:

Patientsn= 141 those who were satisfied with the abovementioned study criteria and taken their informed assent and consent of the patients before initiating the study were enrolled.

STATISTICAL ANALYSIS USED:

Data were analyzed using Excel-MS-Window Version-12.

RESULTS:

n= 141 patients were observed in this study, with the male population comprising the majority at 57%, whereas the female population accounted for 42.5%. The age group between 1 and 5 years was found to be the most prevalent. A further analysis revealed that monotherapy involving sodium valproate (23%) and levetiracetam (16%) was predominantly administered. The maximum number of ADRs was related to polytherapy, with generalized neurological and gastrointestinal tract discomfort being the most common at 31%. All observed ADRs were categorized as mild in nature and 97% were deemed preventable.

CONCLUSION:

Sodium valproate and levetiracetam are commonly employed AEDs as a solitary therapy, wherein the likelihood of encountering an ADR is amplified in the context of polytherapy. Timely identification and perpetual vigilance in monitoring ADRs can effectively mitigate the development of medical complications, and ultimately facilitate the attainment of predetermined therapeutic outcomes.
Ayurgenomics – A narrative review
Authors: Ranade Manjiri Anil
Published: August 2024

Ayurgenomics is the integration of Ayurvedic principles with genomics to provide personalized approaches for the predictive, preventive, and curative aspects of medicine. It focuses on the interindividual variability due to genetic variability in humans, using the concept of Prakriti, which is a fusion of the comparative proportion of three main things, i.e., Tridoshas, namely, Vata, Pitta, and Kapha. Prakriti is used to define physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counseling, and treatment. Ayurgenomics is an emerging field of interest where the therapeutic and lifestyle regime selection is made on the basis of clinical assessment of an individual maintaining one’s Prakriti. It is a novel concept of genomics suitable for one’s genetic makeup with the help of Ayurveda. It is possible that as Ayurveda gains more recognition and acceptance in mainstream health care, practitioners may incorporate more Ayurvedic principles and techniques in their practices, including categorizing patients based on Ayurvedic theories such as Prakriti. However, it is important to note that Ayurveda and allopathic medicine are based on different principles and may not always be compatible, so it is important for practitioners to have proper training and understanding of both systems before combining them in treatment. It is also important to note that while some studies have found correlation between Prakriti and genetics, more research is needed to establish the validity of Ayurgenomics as a field. Therefore, practitioners should be cautious in using Ayurvedic principles to make treatment decisions without thorough understanding of the patient’s condition and the potential risks and benefits of the treatment.
Early Infantile Hemophagocytic Lymphohistiocytosis Masquerading as Late-onset Sepsis: A Case Report with Review of the Literature
Authors: Ramitha L. , Ahmed Amith , Kamath Laxmi , Sharma Deepa Mohan , Chandra Prathap
Published: August 2024

Background:

Hemophagocytic lymphohistiocytosis (HLH) is a condition due to uncontrolled overactivation of macrophages, cytotoxic T cells, and natural killer cells creating a cytokine storm, characterized by multiorgan involvement. Familial HLH (fHLH) is due to genetic defects and presents early in life. There are only a few reports of neonatal onset of fHLH.

Clinical Description:

A 40-days-old male baby, born at 36 weeks of gestation, presented with fever, abdominal distension, poor feeding, lethargy, seizures. He had metabolic acidosis, respiratory failure, hepatosplenomegaly and bicytopenia, with a deranged coagulation profile.

Management and Outcome:

Treatment was started as per sepsis with meningitis with disseminated coagulation profile. All cultures were sterile, bacterial and fungal polymerase chain reaction were negative, but the baby deteriorated rapidly to shock. As the baby fulfilled the HLH criteria, he was started on intravenous immunoglobulin, methylprednisolone, and immunomodulator anakinra while sending sample for whole-exome sequencing for primary HLH. However, the baby succumbed to the illness. Whole-exome sequencing revealed a perforin-1 gene defect which confirmed primary HLH type 2.

Conclusion:

This report creates awareness that a primary genetic HLH may mimic early infantile sepsis. The rapidly progressive course in an otherwise healthy, breast-fed baby, with no setting of sepsis, and absence of infective etiology, should raise a suspicion of this underlying potentially fatal condition.
Antenatal care utilisation among adolescent mothers in Ngozi Province, Burundi
Authors: Iradukunda Ladouce Ingrid , Ogunbode Olayinka Oladunjoye , Arulogun Oyedunni Sola
Published: August 2024

Background:

Globally pregnancy and childbirth complications are the leading cause of death among adolescents, with evidence showing that antenatal care (ANC) is a very effective preventive intervention. In Burundi, there is limited information on the extent to which pregnant adolescents utilise such services.

Objective:

To assess the ANC utilisation and factors associated with its use among adolescent mothers in Ngozi Province, Burundi.

Materials and Methods:

A cross-sectional, health facility-based study among 216 adolescent mothers who had given birth within two years preceding this study, using structured questionnaires and records from previous ANC booklets. A multistage random sampling technique was used to select respondents while the utilisation of ANC was determined by the frequency of ANC visits and the time when the women enrolled for the first ANC visit.

Results:

The majority (98.1%) of adolescent mothers in Ngozi Province used ANC services. Most respondents (64.8%) initiated ANC services within the first trimester while 57.8% attained the minimum of four recommended ANC visits. Marital status (P = 0.001), geographical location (P = 0.009), occupation of the partner (P = 0.002) and type of the last pregnancy (P = 0.012) were associated with ANC initiation within the first trimester while marital status (P < 0.001), respondent’s employment (P = 0.003) and type of last pregnancy (P < 0.001) were associated with appropriate ANC frequency.

Conclusion:

This study revealed a high use of ANC services among adolescent mothers, although more than one-third attended ANC late. There is therefore the need to put more effort into improving early booking for ANC.
Title, abstract, keywords, and authorship criteria
Authors: Sruthi M V
Published: August 2024

In the domain of medical research, the importance of developing precise and informative elements such as the title, abstract, keywords, and authorship criteria cannot be overstated. This article provides salient points on drafting these essential components for effective communication, dissemination, and ethical behavior in the medical research field.
Double capsulorhexis technique for safe phacoemulsification in intumescent cataract
Authors: Nair Vanashree M.
Published: August 2024

Intumescent white cataracts are a challenge for novice and experienced surgeons alike. Creating a continuous curvilinear capsulorhexis may pose a problem in these cataracts due to many factors like increased intra capsular pressure, absence of red reflex, poor visibility, fragile or calcified anterior capsule.[1] These cataracts tend to have a shallow anterior chamber and presence of fluid vacuoles or sectoral markings in subcapsular area which can be seen on slit lamp biomicroscopy.[2] Argentinian flag sign, which is a radial tear in anterior capsule, can occur while creating capsulorhexis, due to raised intracapsular pressure.[3] Radial tears extending to the equator, makes phacoemulsification unsafe, since it may lead to further complications such as extension of the tear to posterior capsule, nucleus drop in vitreous cavity and difficulty with IOL placement. This video demonstrates the steps of 2 staged capsulorhexis, to prevent radial extension while operating a type 1 (liquified cortex) intumescent cataract and type 2 (no liquified cortex, only tense fibres) intumescent cataract.[4]