Pradeep Mishra - Böcker

Recent Advancement in ProdrugsDrugs used as medicines have many limitations like low chemical stability, aqueous solubility, or oral absorption/bioavailability, rapid presystemic metabolism, toxicity, inadequate site specificity, or poor patient acceptance/compliance (unwanted adverse effects, unacceptable taste or odor, irritation or pain). Prodrugs design is an approach to overcome these limitations.Key features Covers recent advancements in development of prodrugs Presents balanced synthesis and applications of prodrug chemistry Discusses broad spectrum of prodrug categories and outlines industrial applications Reviews prodrugs in cancer nanomedicine, its therapy and treatment Elucidates mathematical models to study the kinetics of prodrugsThis book covers recent advances in the design of prodrugs. It contains all the significant recent examples of prodrug chemistry developments and will aid academics and researchers seeking to generate new projects in the field.

An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background.In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).

An understanding of the basics, logic, and theory of statistics is essential for agricultural researchers for dealing with the interpretation of data. This volume presents some of the basic and necessary concepts of statistical tools, specifically as applied to the statistics of agriculture and allied fields. It covers basic statistics, design of experiments, sampling techniques, time series, inference outlines, forecasting models, data handling, and statistical software in an easy-to-understand manner that is aimed at students and researchers with little or no mathematical background.In the agriculture scenario, students and researchers face problems that can be addressed with statistical tools, planning of field experiments, collection of data, analysis, interpretation of the data, etc. In this book, statistical theories are discussed with the help of examples from real-life situations in agriculture and allied fields, followed by worked-out examples. Each chapter is followed by a number of problems and questions that will help readers gain confidence in solving those problems. The volume also provides an analysis of how data is important and introduces the reader to using statistical software such as MS Excel, SAS (Statistical Analysis System), JMP, Minitab, and R (from the R Foundation for Statistical Computing).

This book provides a thorough understanding of distribution theory and data analysis using statistical software to solve problems related to basic statistics, probability models, and simulation. It presents a detailed explanation of different distribution concepts used in statistics along with their application in real-life situations. Covering the analytical aspects using the latest software, the volume discusses stochastic methods and other statistical methods. It provides an overview of statistical data analysis by taking actual situations and implementing open-source software R version 4.0 and Python 3.0+. A detailed study of the statistical models is also provided with examples related to health, agriculture, insurance, and other sectors.

Agriculture is the backbone of economies worldwide, feeding nations and fueling growth. Yet, its success hinges on a delicate balance of economic principles and effective management practices. Principles of Agricultural Economics and Farm Management is crafted to unravel this intricate relationship, offering a roadmap to understanding the forces that shape agricultural productivity and sustainability.This book takes you on a journey through the core concepts of agricultural economics, from the fundamentals of demand, production, and cost to the complexities of national income, international trade, and the Goods and Services Tax (GST). It delves into the laws of returns, input-output relationships, and the dynamics of supply and distribution, providing both theoretical insights and practical applications. With a focus on agricultural planning and development, it also addresses pressing global issues like population growth, economic systems, and balance of payments.

The book Economic Perspectives: Navigating the Financial Landscape is a comprehensive guide that covers various aspects of the financial ecosystem, including assets and investment strategies, business management, stock markets, currency values, the role of banks, financial markets, risk management, and emerging trends. It aims to provide insights into the complex world of finance, helping individuals and businesses make informed decisions, mitigate risks, and seize opportunities.The book is structured around eight key themes, each discussing a different aspect of the financial landscape, such as investment strategies, business management, stock markets, currency values, the role of banks, financial markets, risk management, and emerging trends. By understanding these interconnected aspects, readers can make informed decisions, manage risks, and adapt to the ever-evolving financial landscape.