This is introductory book for researchers, scientists and students in the area of organic and inorganic composite materials. This book has addressed timely the innovative topic "chalcogenide-multiwalled carbon nanotubes and chalcogenide-bilayer graphene" composite materials under a glassy regime. This book will give a clear idea on the concepts of the newly established composite materials area, by providing interpretations of inside physio-chemical mechanism. The remarkable landmark innovations related to this newly introduced research field are included in this book. Additionally, the possible futuristic applications in the area of nanoelectronics, optoelectronics, biomedical etc are also addressed.

Water Scarcity, Contamination, and Management presents new and updated material, including case studies, step-by-step guidance on key procedures and protocols, and timely topics such as climate change and integrated water resource management. This book is divided into three key sections. Section 1-Water Resource Scarcity-focuses on sustainable development and management of water resources and techniques and methods for improving water use efficiency. Section 2-Contamination of Water Resources-focuses on understanding the quality of water resources, migration of pollutant sources, geochemical processes, groundwater depletion, and seasonal variations in contaminant concentration, water resources' quality status, and associated human health risks. Section 3-Water Resource Management-considers a consolidated and coordinated approach to find the solution to water resource issues. Presenting a comprehensive overview of the water management field, the book serves as a valuable reference for students, professors, scholars, researchers, and consultants in the fields of water resources, civil engineering, environmental science and engineering, and hydrology.

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.

Atmospheric Remote Sensing: Principles and Applications discusses the fundamental principles of atmospheric remote sensing and their applications in different research domains. Furthermore, the book covers the basic concepts of satellite remote sensing of the atmosphere, followed by Ionospheric remote sensing tools like Global Positioning System (GPS) and Very Low Frequency (VLF) wave. Sections emphasize the applications of atmospheric remote study in Ionospheric perturbation, fire detection, aerosol characteristics over land, ocean and Himalayan regions. In addition, the application of atmospheric remote sensing in disaster management like dust storms, cyclones, smoke plume, aerosol-cloud interaction, and their impact on climate change are discussed. This book is a valuable reference for students, researchers and professionals working in atmospheric science, remote sensing, and related disciplines.