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Entomology in the Doon Valley (Garhwal Himalaya) A Stronghold for Insect Research
Entomology in the Doon Valley (Garhwal Region) is a unique journey into annals of the country’s most fascinating and highly entomofauna rich habitat – the Dehra Dun or the Doon Valley, tucked in the cosy climate of the foothills of the lower Himalayan region. Notwithstanding an unprecedented quantum of fragmented information available on the insects of the Doon Valley, courtesy various different long term research programmes carried out at the three major research institutions, viz., the Forest Research Institute & Colleges, the Zoological Survey of India and The Dayanand Anglo Vedic (PG) College, all located in Dehra Dun, yet no single entomological treatise detailing all the insect ord...
E-Commerce, Marketing, and Consumer Behavior in the AI Era
With the rapid growth of e-commerce, business activities have shifted to web platforms, allowing users to browse products and read customer reviews to inform their purchases. Customer reviews significantly influence buying decisions, with users sharing experiences, ratings, and recommendations on products and services. However, fake reviews have become a challenges, as spammers may post misleading information that can deceive potential buyers. Detecting these fraudulent reviews is essential to maintaining trust in online platforms. E-Commerce, Marketing, and Consumer Behavior in the AI Era explores the complexities of fake review detection, covering recent research, detection methods, and challenges in maintaining authentic online review systems. It discusses technologies and best practices in understanding and combating fraudulent activities in the digital landscape. Covering topics such as brand trust, information technology, and workforce optimization, this book is an excellent resource for online platform operators, digital marketing and branding professionals, researchers, academicians, regulatory agencies, and more.
Data-Driven Intelligent Business Sustainability
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.
Transdisciplinary Teaching and Technological Integration for Improved Learning: Case Studies and Practical Approaches
In the modern era of research, the significance of transdisciplinary and multidisciplinary approaches in enhancing higher education learning outcomes cannot be overlooked. These approaches break down traditional academic silos, fostering a more holistic and interconnected understanding of complex problems. By integrating diverse perspectives and methodologies, they promote critical thinking, creativity, and innovation among students. Educators and institutions must embrace and implement transdisciplinary teaching and technological integration to prepare students for the demands of the future and drive meaningful advancements in education. Transdisciplinary Teaching and Technological Integrat...
Optimizing Intelligent Systems for Cross-Industry Application
Intelligent systems, powered by artificial intelligence (AI) and machine learning, offer transformative benefits across diverse sectors, from healthcare and finance to manufacturing and agriculture. By refining these systems to be more adaptable, scalable, and informative, industries can solve complex business problems and streamline operations. Effective research into technical challenges across intelligent system application is necessary to prioritize their development and impact in industries, such as crop analysis, disease diagnosis, or traffic management. Optimizing Intelligent Systems for Cross-Industry Application explores the challenges and opportunities associated with intelligent t...
Advancing Intelligent Networks Through Distributed Optimization
The numerous developments in wireless communications and artificial intelligence (AI) have recently transformed the Internet of Things (IoT) networks to a level of connectivity and intelligence beyond any prior design. This topology is sharply exemplified in mobile edge computing, smart cities, smart homes, smart grids, and the IoT, among many other intelligent applications. Intelligent networks are founded on integrating caching and multi-agent systems that optimize data storage and the entire devices learning process. However, a central node through which all agents transmit status messages and reward information is a major drawback of this design pattern. This central node condition ins...
Teaching and Assessment in the Era of Education 5.0
In the rapidly evolving landscape of Education 5.0, educators and institutions grapple with unprecedented challenges in leveraging digital technologies to enhance teaching, learning, and assessment. The profound shift towards a more humanized educational experience, focusing on social and emotional growth alongside skill development, demands a paradigmatic transformation. However, a palpable gap exists in understanding and navigating the complexities of this digital transition. Educators, students, and administrators are left facing dilemmas related to pedagogical innovation, technology integration, and effective learning assessment in the digital age. Enter Teaching and Assessment in the Er...
Microbial Symbionts
Microbial Symbionts: Functions and Molecular Interactions on Host focuses on microbial symbionts of plants, animals, insects and molecular methods in the identification of microbial symbionts. The book describes the molecular mechanism and interactions of symbiosis of microbiome in plants, animals and humans. It brings the latest techniques for identification, localization and functional characterization of host-associated microbes and explains the role/importance of microbial symbionts. This comprehensive reference covers a wide range of symbiotic microorganisms used for basic and advanced techniques associated with the isolation, characterization and identification of microbial symbiotic m...
Marketing Innovation Strategies and Consumer Behavior
In today's fast-paced global marketplace, businesses grapple with the relentless demand for innovation in marketing strategies. The landscape is ever-evolving, driven by digital advancements and shifting consumer behaviors, leaving companies scrambling to stay relevant. Academic scholars, educators, and managers face a formidable challenge: deciphering the complex web of trends and technologies shaping modern marketing while equipping themselves with actionable strategies to thrive in this dynamic environment. By delving into topics ranging from digital marketing and sustainability initiatives to data analytics and emerging technologies, Marketing Innovation Strategies and Consumer Behavior equips readers with the tools they need to survive and thrive in the modern marketplace. Its emphasis on real-world case studies ensures practical relevance, while its theoretical underpinnings offer a solid foundation for academic inquiry. This book is an indispensable resource for scholars seeking to deepen their understanding of marketing innovation, providing actionable insights and strategic frameworks to navigate the complexities of the digital age with confidence and agility.
Microbial Bioprospecting for Sustainable Development
This book presents a comprehensive overview of the use of microorganisms and microbial metabolites as a future sustainable basis of agricultural, environmental and industrial developments. It provides a holistic approach to the latest advances in the utilization of various microorganism bioprospecting including their wide range of applications, traditional uses, modern practices, and designing strategies to harness their potential. In addition, it highlights advanced microbial bioremediation approaches, including genetic manipulation, metagenomics analysis and bacteriophage-based sensors for the detection of food-borne pathogens. Lastly, it elaborates on the latest advances regarding the role of microbes in the sustainable development of various industrial products.
