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In today's rapidly advancing digital world, governments face the dual challenge of harnessing technology to enhance security systems while safeguarding sensitive data from cyber threats and privacy breaches. Futuristic e-Governance Security With Deep Learning Applications provides a timely and indispensable solution to these pressing concerns. This comprehensive book takes a global perspective, exploring the integration of intelligent systems with cybersecurity applications to protect deep learning models and ensure the secure functioning of e-governance systems. By delving into cutting-edge techniques and methodologies, this book equips scholars, researchers, and industry experts with the knowledge and tools needed to address the complex security challenges of the digital era. The authors shed light on the current state-of-the-art methods while also addressing future trends and challenges. Topics covered range from skill development and intelligence system tools to deep learning, machine learning, blockchain, IoT, and cloud computing. With its interdisciplinary approach and practical insights, this book serves as an invaluable resource for those seeking to navigate the intricate landscape of e-governance security, leveraging the power of deep learning applications to protect data and ensure the smooth operation of government systems.
In the dynamic field of education, leaders confront unprecedented challenges necessitating effective crisis management and creative problem-solving skills. The Covid-19 pandemic has underscored the criticality of innovative approaches to educational leadership, enabling leaders to navigate uncertainty, adapt to rapid changes, and sustain educational institutions. Nevertheless, limited resources exist to guide leaders in the post-pandemic world, revealing a significant research gap. Promoting Crisis Management and Creative Problem-Solving Skills in Educational Leadership addresses this urgent issue by offering a comprehensive solution. Authored by renowned scholars and practitioners, this book presents a roadmap for reimagining educational leadership, equipping leaders with the necessary skills to thrive in challenging times. By exploring diverse perspectives and drawing from real-world experiences, the book empowers educational leaders to effectively manage crises, inspire stakeholders, and guide organizations toward success and sustainability. By focusing on crisis management, innovative problem-solving strategies, and the development of essential leadership competencies, this book fills the void in the current literature. It not only provides insights into the distinctive challenges of the post-pandemic world but also offers practical guidance and actionable recommendations for leaders in educational settings. Scholars, policymakers, researchers, and practitioners who engage with this book will gain valuable knowledge and tools to navigate the complexities of educational leadership, ensuring the continuous growth and enhancement of their institutions.
In the rapidly evolving digital landscape, the ability to connect with consumers through personalized and programmatic advertising has become a vital skill for global companies. As the market undergoes a paradigm shift towards consumer-centric approaches, the need for comprehensive knowledge in this domain is escalating every day. Connecting With Consumers Through Effective Personalization and Programmatic Advertising addresses a timely and pivotal theme that is crucial for companies and the academic community. By bridging the gap between theory and practice, this book equips readers with the tools and strategies necessary to make informed decisions and navigate the dynamic landscape of digital marketing. The book's invaluable content serves as a reliable resource for decision-makers in companies seeking to optimize their digital marketing strategies. It also delves into the depths of knowledge, skills, and processes behind effective personalization and programmatic advertising, offering valuable insights for researchers, teachers, students, and professionals alike.
Professional women of color identify with various natural, Black hairstyles including braids, dread locs, twists, and other natural coiled styles. Black women who work in professional settings have historically encountered negative stares, remarks, and biases. They tend to be stereotyped on their level of professionalism and competency if they choose not to conform to mainstream hairstyles. Women wearing Black hairstyles are often perceived as less beautiful and less professional than those who wear Eurocentric hairstyles. Professional Black women are often challenged in these situations where they must decide how to manage their identity in the work environment. Too often, professional Black women apply and interview for positions where their natural hairstyle becomes the topic of interest. If given the opportunity for employment, subtle references may be made about their hairstyles, which suggests such hairstyles are not in alignment with the professional climate of an organization. This type of pressure makes Black women feel forced to conform to Eurocentric hairstyles. These expectations lead to feelings of social inadequacy, hurt, and discouragement of individuals in their workplace. The apprehensions with hair acceptance are even more concerning, when considering that the notion of straight groomed hair has been largely expected not only by Whites, but also by many people of color as well. Women of Color and Hair Bias in the Work Environment explores the experiences of professional women of color who have had encountered feelings of uncertainty, self-consciousness, or differing treatment, and/or discrimination because of their natural hairstyle choices. The intent is to shine a light on the challenges professional women of color face and how these experiences impact their hiring and/or work environment. Covering topics such as hairstyle empowerment, ethics of hair bias, and diversity of hair, this book serves as an invaluable resource for educators, social workers, psychologists, organizational leadership, business professionals, and more. This book also allows women to be encouraged by stories of professional women who have overcome the societal burdens placed on natural hair.
With cultural and linguistic diversity, migration, and constant change as defining features of contemporary societies, it is increasingly necessary to enhance our capabilities within multilingual environments. Reconceptualizing Language Norms in Multilingual Contexts offers a groundbreaking exploration of language practices and norms in the diverse and dynamic world we inhabit today. It challenges the traditional understanding of language norms as stable and stationary. Instead, it embraces multiculturalism and multilingualism as the norm rather than the exception. Drawing upon a wide range of methodological approaches, this book brings together a collection of position papers, critical reflections, and explorations by emerging and established voices in the field. It delves into how language norms emerge, evolve, and shape communication in both collective and individual contexts of diversity. By reconceptualizing language norms, this book sheds light on real and relevant language practices in multilingual and multicultural spaces, offering insights from the people who inhabit and navigate these contexts. While the content of this book revolves around everyday communication, its academic approaches and comprehensive exploration make it a valuable resource for graduate students, educators, and researchers in the fields of multilingualism and applied linguistics. By bridging the gap between language norms and multilingualism, this book seeks to advance our understanding of language practices in the increasingly interconnected and diverse world.
The reverberations of an unparalleled labor shortage echo through service-based industries, leaving the hospitality, tourism, and food and beverage sectors grappling with a critical challenge. The fallout from the 2020-2021 global health crisis has laid bare a systemic flaw: the absence of sustainable career pathways for front-line workers. From airlines to cruise ships, theme parks to restaurants, and bars, the shortage of front-line workers has reached a critical level, preventing organizations from operating at full capacity even as public health restrictions are lifted. This crisis stems not only from the economic aftermath of the pandemic but also from the longstanding neglect within these industries to cultivate a resilient front-line workforce. Front-line positions, often considered transient and unskilled, lack the structured development pipelines that other professional industries utilize successfully. As organizations struggle to address these workforce challenges, Career Pathways and Professional Identities for Front-Line Workers in the Service Industries serves as a guide filled with solutions in the face of industry-wide adversity. Career Pathways and Professional Identities for Front-Line Workers in the Service Industries responds to the urgency within the hospitality, restaurant, and tourism industries, by applying the dynamics of the 4th Industrial Revolution and the Gig Economy, to propose innovative solutions to engineer sustainable career pathways and foster professional identities. Ideal for employers, educators, and researchers involved in these industries, the book aims to guide organizations in optimizing operations, implementing leadership-focused succession planning, and minimizing the impact of labor fluctuations. From an academic perspective, it harmonizes industry-focused programs, offering a distinct element for hospitality, restaurant, and tourism management curricula. Additionally, it opens avenues for research on transitioning low-pay roles into meaningful, long-term careers with a focus on continuous improvement.
The COVID-19 pandemic functioned as a stark illuminator, exposing the deep-seated cracks in social and material support for those in caregiving roles. Despite the resilience of care workers and essential personnel, the lack of robust connections and infrastructure became apparent, impacting these individuals but resonating across the broader public. The pandemic laid bare the lengths people must go to care for others and the urgent need for interconnectedness and support within caregiving realms. Perspectives on Social and Material Fractures in Care offers a multi-disciplinary exploration of care, drawing on existing theoretical frameworks, empirical research, and personal stories. By navigating the complexities of care at various levels, the book aims to provide a profound understanding of the current state of affairs. Moreover, it does not stop at diagnosis; it seeks to propel the conversation forward by delving into ethical, intersectional, and life-sustaining approaches to enhance the very fabric of caregiving. As we confront the pressing issues surrounding who receives care, who is expected to care, and the seemingly off-limits aspects of societal concern, the book becomes a vital resource for academics, higher education professionals, and students eager to grasp the intricate dynamics of care in the contemporary United States.
In today's rapidly evolving digital landscape, the power of Artificial Intelligence (AI) is increasingly recognized as organizations seek to disrupt and transform processes in order to drive innovation in their business models. However, despite substantial investments in AI implementation, recent research indicates that organizations are struggling to realize the expected benefits. Furthermore, many firms face challenges when it comes to effectively integrating AI applications into their existing organizational systems. To bridge this gap, there is an urgent need to deepen understanding of AI techniques, particularly in the context of Asian organizations, where diverse workforces, cultural differences, language barriers, and skill shortages present unique complexities. Exploring the Intersection of AI and Human Resources Management explores the methodologies, theories, and perspectives related to the application of AI in organizations. Focused on the convergence of Human Resource Management (HRM) and AI, this book aims to provide invaluable insights to academics, researchers, policymakers, organizational managers, advanced-level students, leaders, academicians, and government officials. By shedding light on the tools and applications of AI in optimizing human resources, this book expands the horizons of research and encourages the seamless integration of HRM and AI.
In the world of education, technology has revolutionized teaching and learning practices globally. However, the widespread adoption of technology, especially in response to Covid-19, has led to a deluge of data from students' digital footprints. The challenge lies in effectively using this data through learning analytics (LA) to optimize K-12 classroom practices. Emergent Practices of Learning Analytics in K-12 Classrooms , edited by Dr. Nurdan Kavakl¿ Ulutä, offers a comprehensive solution to these challenges. This book gathers academic scholars to explore practical perspectives on applying learning analytics in K-12 classrooms, combining qualitative and quantitative methodologies. Addressing topics such as predictive analytics, ethical considerations, and future directions, it empowers educators to make data-driven decisions, creating engaging learning experiences for improved student outcomes. By embracing the insights and recommendations presented in this book, academic scholars can confidently navigate the realm of learning analytics and shape the future of K-12 education.
In the evolving world of industrial materials, conventional choices have proved to be insufficient to meet the demands of contemporary applications. With the introduction of Nanoscience and Nanotechnology, groundbreaking synthesis approaches are crafting nanocomposites with unprecedented versatility. Smart and Sustainable Applications of Nanocomposites delves into this research, exploring the bioinspired synthesis of nanocomposites and their multi-dimensional applications across diverse industries. This book addresses the escalating challenges faced by the nano-industry, such as the widening application window requiring additional properties like high modulus, flame retardation, UV resistance, and more. The book champions the development of environmentally friendly nanocomposites, ushering in the next generation of nanomaterials by reinforcing fibers, whiskers, or nano clays. Unique substitutes like ceramic, agricultural waste, and polymer-layered silicate nanocomposites are thoroughly examined for their exceptional physical, chemical, and physicochemical properties. From triobiological applications to the synthesis of bio-nanocoating, the book spans an array of subjects, each chapter revealing the potential applications of nanotechnology and nanocoatings in diverse fields. It highlights the ethical and environmental implications of this burgeoning technology, making it a crucial resource for students, researchers, academicians, and industry professionals.
In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.
As the educational sphere witnessed an unprecedented shift to online learning during the COVID-19 pandemic, a pivotal transformation was set in motion. The surge in online enrollment, spanning synchronous, asynchronous, hybrid, and mobile formats, has established the digital domain as a formidable medium of education. However, this transition comes with a responsibility to uphold the principles of equality and accessibility, a responsibility that mirrors the concerns long prevalent in traditional brick-and-mortar classrooms. Designing Equitable and Accessible Online Learning Environments is a pioneering endeavor which delves into the multifaceted dimensions of online education and reveals a crucial revelation that students from disadvantaged backgrounds exhibit a pronounced affinity for online courses. This book magnifies the essence of this observation, venturing beyond the surface to uncover the means to cultivate a genuinely inclusive online pedagogical experience. Meticulously curated, this book amalgamates diverse perspectives from luminaries in the field. The ultimate aspiration is to empower educators, administrators, researchers, and students with a profound understanding of the symbiotic relationship between inclusivity and technology. From theoretical underpinnings to practical strategies, every chapter resonates with the heartbeat of equitable education in the digital age. Embarking on a comprehensive journey, this book is an exploration of design theories that embrace the ethos of diversity, equity, inclusion, and accessibility. Topics span the spectrum, from deciphering the architecture of accessible digital tools to unraveling the tapestry of culturally responsive teaching in the virtual classroom.
When it comes to Parkinson's disease, one of the most important issues revolves around early detection and accurate diagnosis. The intricacies of this neurodegenerative disorder often elude timely identification, leaving patients and healthcare providers grappling with its progressive symptoms. Ethical concerns surrounding the use of machine learning to aid in diagnosis further complicate this challenge. This issue is particularly significant for research scholars, PhD fellows, post-doc fellows, and medical and biomedical scholars seeking to unravel the mysteries of Parkinson's disease and develop more effective treatments. Intelligent Technologies and Parkinson's Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.
Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.
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