Abhishek Tiwari And Shashank Pathak

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Biopharmacological Activities of Medicinal Plants and Bioactive Compounds

"Biopharmacological Uses of Medicinal Plants and Bioactive Compounds presents comprehensive coverage and recent advances surrounding phytopharmaceuticals, traditional and alternative systems of medicines and uses of nanotechnology in biopharmaceutical products. Sections cover the role of medicinal plants, bioactive and biophytopharmaceuticals in the management of cancer, hepatitis, HIV, analgesics, inflammation, antibacterial, viral infections, fungal infections, neurological disorders, diabetes, ENT infections, dental decay, cardiovascular disorders, skin diseases, antiproliferative etc. This volume also includes biogenic synthesis of various type of nanoparticles using medical plant extracts, seaweeds, algae, and fungi for the new drug discovery. This volume sheds new light on the immense potential of medicinal plants for human health from different technological aspects. It presents new research on bioactive compounds in medicinal plants that provide health benefits, including those that have proven especially effective in treating and managing diabetes mellitus and hypertension. It looks at the medicinal properties, antioxidant capacity, and antimicrobial activity of plants and provides scientific evidence on the use of medicinal plants in the treatment of certain diseases. Many of the plants described in the chapters are easily accessible and are believed to be effective with fewer side effects in comparison to modern drugs in the treatment of different diseases. The body of the book comprises thought-provoking and diverse chapters on the potential for utilization of plants in treating diseases of the skin and use of traditional medicine as anticancer, anti-HIV, and antibacterial agents. Each topic is introduced by providing a background on the disease, which contains updated statistics on the prevalence thereof, followed by the associated pathology, pharmacologically approved drugs currently on the market used for treatment of the disease, an array of medicinal plants used for treatment accompanied with a list of their active phytoconstituents and chemical structures thereof, as well as scientific evidence for use. This book provides key information for everyone interested in drug discovery, including medicinal chemists, nutritionists, microbiologists, biochemists, toxicologists, drug developers and health care professionals. Students, professors and researchers working in the area of pharmaceutical sciences, botany, pharmaceutical microbiology, medical microbiology and beyond will also find the book useful"--
Federated Learning

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Cyber Intelligence and Information Retrieval

This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2023), held at Institute of Engineering & Management, Kolkata, India during 14 – 15 December 2023. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher order neural computing, rough set and fuzzy set theory, and nature inspired computing techniques.