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A Text Book of Pharmaceutics for I Year Diploma in Pharmacy
A "Textbook of Pharmaceutics for I Year Diploma in Pharmacy" is a comprehensive guide designed to provide students with a strong foundation in pharmaceutical sciences. This book covers a wide range of topics, from the historical background of pharmacy to modern manufacturing techniques and novel drug delivery systems. Each chapter includes learning objectives, multiple-choice questions, quick summaries, and important questions to reinforce key concepts. With its focus on both theoretical knowledge and practical applications, this textbook is an essential resource for aspiring pharmacists. It offers a balanced approach to understanding the principles of pharmaceutics, quality control, and the latest advancements in the field, preparing students for successful careers in pharmacy
Pharmacoinformatics Real-World Applications in Pharmacy and Medicine
This book, "Pharmacoinformatics: Real-World Applications in Pharmacy and Medicine" is designed to bridge the gap between medicine and computer science by providing a practical and accessible introduction to programming languages and techniques specifically tailored to the needs of healthcare professionals. Whether you are a student, a practicing pharmacist, a physician, or any other healthcare professional, this book aims to equip you with the fundamental programming skills and domain-specific knowledge required to tackle real-world challenges in healthcare
Artificial Intelligence and Evolutionary Computations in Engineering Systems
The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.
Assessment of Freshwater Fish Seed Resources for Sustainable Aquaculture
This publication is presented in two parts.
Advances in Systems Engineering
This book comprises select proceedings of the 43rd National Systems Conference on Innovative and Emerging Trends in Engineering Systems (NSC 2019) held at the Indian Institute of Technology, Roorkee, India. The contents cover latest research in the highly multidisciplinary field of systems engineering, and discusses its various aspects like systems design, dynamics, analysis, modeling and simulation. Some of the topics covered include computing systems, consciousness systems, electrical systems, energy systems, manufacturing systems, mechanical systems, literary systems, social systems, and quantum and nano systems. Given the scope of the contents, this book will be useful for researchers and professionals from diverse engineering and management background.
Transactions of the American Climatological Association for the Year ... .; V.8, (1891)
This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Graph Data Mining
Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph...
