This book is a good guide for doctors, researchers and students in connection with the latest research and treatment developments in the fields of infectious disease. This book is based on the latest medical articles.
This book addresses the gap between Computer-Assisted Language Learning (CALL) materials development and its theoretical considerations by offering a comprehensive look into theory, practice, and research on materials development and content authoring for language instruction/practice, drawing on the author’s personal experiences along with previous empirical/theoretical research in CALL materials development, content authoring, language teacher education, and e-learning. The book features four sections. In addition to highlighting related theoretical underpinnings, key concepts, linguistic-didactic functionalities and interaction scenarios in materials development, the volume will address the practical issues and considerations not only in the design, development, integration, and evaluation of the technology-enhanced materials development for language instruction but also the protection, usability, and access in authored and/or co-authored content. Furthermore, previous research findings and foci are addressed to highlight the research gaps and pedagogical implications for materials developers, policy makers, and language teachers. The book can help teachers, educators, and researchers overcome the aforementioned problem by providing a step-by-step guideline on how to effectively integrate technology and design and develop instructional materials for online language instruction and practice.
This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
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