Abhijit Saha – författare

The book provides essential insights and practical tools needed to effectively navigate the evolving landscape of scholarly research, helping enhance the understanding of publication trends, citation impacts, and collaboration networks across multiple fields. Bibliometric Analyses in Data-Driven Decision-Making offers a comprehensive guide to researchers, academics, and practitioners interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications across many areas. It provides insights into growth, impact, and trends within the field, using bibliometric tools and methodologies. This volume adopts a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses using real-world examples, case studies, and step-by-step guides. The reader will find the book: Gives practical guidance on conducting bibliometric analyses across a range of applications for data-driven decision-making;Illustrates the application of bibliometric tools in the field with real-world case studies;Provides in-depth coverage of various bibliometric indicators and metrics;Explores emerging trends and challenges in bibliometric analysis;Provides a comprehensive overview of software and tools available for bibliometric research.Audience Librarians and Information professionals involved in research management, knowledge discovery, and the evaluation of scholarly communication, as well as professionals in industries reliant on cutting-edge research and development, technology assessment, and innovation. Also, a range of researchers and scholars seeking how to apply bibliometric analysis to assess the impact of their work, and advanced insights into bibliometric metrics, collaboration networks, and research trends.

The book provides essential insights and practical tools needed to effectively navigate the evolving landscape of scholarly research, helping enhance the understanding of publication trends, citation impacts, and collaboration networks across multiple fields. Bibliometric Analyses in Data-Driven Decision-Making offers a comprehensive guide to researchers, academics, and practitioners interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications across many areas. It provides insights into growth, impact, and trends within the field, using bibliometric tools and methodologies. This volume adopts a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses using real-world examples, case studies, and step-by-step guides. The reader will find the book: Gives practical guidance on conducting bibliometric analyses across a range of applications for data-driven decision-making; Illustrates the application of bibliometric tools in the field with real-world case studies; Provides in-depth coverage of various bibliometric indicators and metrics; Explores emerging trends and challenges in bibliometric analysis; Provides a comprehensive overview of software and tools available for bibliometric research. Audience Librarians and Information professionals involved in research management, knowledge discovery, and the evaluation of scholarly communication, as well as professionals in industries reliant on cutting-edge research and development, technology assessment, and innovation. Also, a range of researchers and scholars seeking how to apply bibliometric analysis to assess the impact of their work, and advanced insights into bibliometric metrics, collaboration networks, and research trends.

The book provides essential insights and practical tools needed to effectively navigate the evolving landscape of scholarly research, helping enhance the understanding of publication trends, citation impacts, and collaboration networks across multiple fields. Bibliometric Analyses in Data-Driven Decision-Making offers a comprehensive guide to researchers, academics, and practitioners interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications across many areas. It provides insights into growth, impact, and trends within the field, using bibliometric tools and methodologies. This volume adopts a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses using real-world examples, case studies, and step-by-step guides. The reader will find the book: Gives practical guidance on conducting bibliometric analyses across a range of applications for data-driven decision-making; Illustrates the application of bibliometric tools in the field with real-world case studies; Provides in-depth coverage of various bibliometric indicators and metrics; Explores emerging trends and challenges in bibliometric analysis; Provides a comprehensive overview of software and tools available for bibliometric research. Audience Librarians and Information professionals involved in research management, knowledge discovery, and the evaluation of scholarly communication, as well as professionals in industries reliant on cutting-edge research and development, technology assessment, and innovation. Also, a range of researchers and scholars seeking how to apply bibliometric analysis to assess the impact of their work, and advanced insights into bibliometric metrics, collaboration networks, and research trends.

In this book, the molecular recognition of DNA using small molecules is discussed, with a study of the photochemistry of BrU-labeled DNA. The purposes of the study were to develop small molecules for regenerative medicine, to develop a method to detect the recognition site of small molecules, and to detect the most important biological phenomena using the photochemistry of BrU-labeled DNA. The study began with the design and development of small molecules that can induce pluripotency genes. To deal with the important issue of cell permeability of the original compound, a new analogue of the original with improved gene expression was designed and synthesized. Using the photochemistry of BrU-labeled DNA, crucial biological phenomena such as cooperativity between transcription factors were detected. For the first time, the cooperativity was examined by excess electron transfer assay. DNA was also studied very carefully in order to understandthe mechanism of the double-strand break in the UVA micro-irradiation technique. The mechanism of the double strand remained untouched. Nevertheless, the double-strand break mechanism was clearly demonstrated by Hoechst dye, as shown in this book.

In this book, the molecular recognition of DNA using small molecules is discussed, with a study of the photochemistry of BrU-labeled DNA. The purposes of the study were to develop small molecules for regenerative medicine, to develop a method to detect the recognition site of small molecules, and to detect the most important biological phenomena using the photochemistry of BrU-labeled DNA. The study began with the design and development of small molecules that can induce pluripotency genes. To deal with the important issue of cell permeability of the original compound, a new analogue of the original with improved gene expression was designed and synthesized. Using the photochemistry of BrU-labeled DNA, crucial biological phenomena such as cooperativity between transcription factors were detected. For the first time, the cooperativity was examined by excess electron transfer assay. DNA was also studied very carefully in order to understandthe mechanism of the double-strand break in the UVA micro-irradiation technique. The mechanism of the double strand remained untouched. Nevertheless, the double-strand break mechanism was clearly demonstrated by Hoechst dye, as shown in this book. 

In this book, the molecular recognition of DNA using small molecules is discussed, with a study of the photochemistry of BrU-labeled DNA. The purposes of the study were to develop small molecules for regenerative medicine, to develop a method to detect the recognition site of small molecules, and to detect the most important biological phenomena using the photochemistry of BrU-labeled DNA. The study began with the design and development of small molecules that can induce pluripotency genes. To deal with the important issue of cell permeability of the original compound, a new analogue of the original with improved gene expression was designed and synthesized. Using the photochemistry of BrU-labeled DNA, crucial biological phenomena such as cooperativity between transcription factors were detected. For the first time, the cooperativity was examined by excess electron transfer assay. DNA was also studied very carefully in order to understandthe mechanism of the double-strand break in the UVA micro-irradiation technique. The mechanism of the double strand remained untouched. Nevertheless, the double-strand break mechanism was clearly demonstrated by Hoechst dye, as shown in this book.

The Proceedings of the 1st International Conference on Sustainable Communication, Machine Intelligence, and Metaverse (SCMIM) - 2025 serve as a comprehensive compilation of state-of-the-art research, innovative solutions, and insightful discussions presented during the conference. It covers a variety of topics within three main areas: sustainable communication technologies, machine intelligence and decision analytics applications, and metaverse paradigms. This collection is a valuable resource for researchers, industry professionals, and academics, offering detailed analyses and practical insights into the latest advancements in sustainable communication, AI-driven decision analytics, and the expanding field of the metaverse. With contributions from leading experts worldwide, the proceedings will provide a rich repository of knowledge and act as a catalyst for future research and development in these transformative domains.