Key Features: • Presents a single platform for knowing everything about community ophthalmology from statistics, epidemiology to financing in an easy and succinct manner. • Serves as a robust resource and an advanced teaching tool for medical professionals. • Includes well-illustrated, succinct chapters for better understanding of various aspects of public health in eye care. • Provides tips and tricks for dealing with both expected and unexpected situations while conducting epidemiological research and data collection in the field.

Key Features: • Presents a single platform for knowing everything about community ophthalmology from statistics, epidemiology to financing in an easy and succinct manner. • Serves as a robust resource and an advanced teaching tool for medical professionals. • Includes well-illustrated, succinct chapters for better understanding of various aspects of public health in eye care. • Provides tips and tricks for dealing with both expected and unexpected situations while conducting epidemiological research and data collection in the field.

This book presents an exploration of linkages among soil-water, agriculture, and climate change with a special focus on thematic areas for assessment, mitigation, and management of natural resources under climate change conditions. This book covers advances in modelling approaches, including machine learning (ML)/ artificial intelligence (AI) applications; GIS and remote sensing; sensors; impacts of climate change on agriculture; subsurface water; contaminants; and socio-economic impacts, which are lacking in a more comprehensive manner in the previous titles. This book encompasses updated information as well as future directions for researchers working in the field of management of natural resources. The goal of this book is to provide scientific evidence to researchers and policymakers and end-to-end value chain practitioners which may help in reducing the overall adverse impacts of climate change on water resources and the related mitigation strategies. This book focuses on the knowledge, modern tools, and techniques, i.e., machine learning, artificial intelligence, etc. for soil-water, agriculture, and climate change. Further, nature-based solutions for management of natural resources with special targets on contaminants, extreme events, disturbances, etc. will be targeted. The book provides readers with the enhanced knowledge for application of engineering principles and economic and regulatory constraints to determine a soil-water, agriculture production action strategy, and select appropriate technologies to implement the strategy for a given data set at a site. It would also cover the application of laboratory, modeling, numerical methods for determination and forecasting of climate change impacts, agriculture production, pollution, soil health, etc. Overall, it provides hydrologists, environmental engineers, administrators, policy makers, consultants, and industrial experts with essential support in effective management of soils health, agricultural productions, and mitigation of extreme climatic events.

The monograph contains precise description about the phenomenon of polymorhism and multiple molecules in organic crystals, a subject of immense interest to scientists working in the field of pharmaceuticals, crystal growth, X-ray crystallography and materials scientists, in general. A comprehensive review of literature has been made, covering polymorhic and structural properties of biphenyls. The lead author's research group has conducted crystallographic investigations separately on two different series of substituted biphenyl systems, during the past few years. A comparison of the crystallization process for substituted biphenyls, their X-ray molecular and crystal structures and analysis of the occurrence of multiple molecules in the asymmetric unit cell, is presented in this monograph. This book is an ideal choice for Master's level students pursuing research in X-ray crystallography of small molecules. It will enable them to gain an insight into the fascinating world of polymorphism, crystals and crystallography.The learning design of the book is such that the subject of crystallography is explored in terms of its applicability and not as an abstract collection of concepts.

international journal is also publised in 2012 on the same topic.this book is related with security system which higher reliable than previous security system.in this book i have mention 3 security factor which are RFID, GSM and FACE RECOGNITION.less human resources is require in this system.this is my first book based on security.i have explain in easy way to understand to every one.i have also mention hardware part for understanding the whole concept of the system through circuit diagram, block diagram and hardware.in this book i have coverd most of the system which are related with any security system.i have given description with block diagram and circuit diagram to each and every part which are related with this security system.there are so manny application where we can use this security syste

Fuel cell is an emerging area in the field of renewable alternate energy sources. The operation of a fuel cell involves fluid flow, heat transfer, mass transfer processes and the electrochemical reaction. All the above processes are coupled and they take place in a small region of space making the system complex. The performance of a fuel cell can be studied by experiments and numerical modeling. In the present project, an attempt is made to mathematically model the performance of a Polymer Electrolyte Membrane (PEM) fuel cell using lumped and control volume approach. The various processes that take place inside the gas diffusion layer of anode and cathode, catalyst and membrane of the fuel cell are represented using governing equations based on the mass and energy conservation principles and electrochemical reactions. The equation that is used to represent the diffusion phenomena in the GDL is solved using the Finite Difference Method. The present model is capable of predicting the performance of the PEM fuel cell in close agreement with numerical model based on CFD approach with a maximum of 30% error.