Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning explores the evolving role of AI in education, covering applications in fields such as bioinformatics, environmental science, physics, chemistry, economics, and language learning. Written by experts, this book provides a comprehensive overview of AI's integration into diverse subjects, offering insights into the future of AI in education and its potential to enhance academic research and pedagogy.
Targeted at faculty, students, and professionals, the book addresses AI's role in blended learning environments and offers practical tools for educators seeking to incorporate AI into their teaching practices.
 
Key Features:
- Multidisciplinary exploration of AI in teaching and learning.
- Practical tools and methodologies for educators.
- Insights into AI-driven innovations in research.
- Relevant to a broad audience, from students to professionals.
 
Readership:
Undergraduate/Graduate students, academics, and professionals interested in AI applications in education.

Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning

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The history of artificial intelligence (AI)

Philosophy and AI: A Philosophical Journey

The Evolution of Artificial Intelligence from Philosophy to New Frontier

Artificial Intelligence and Bioinformatics: A Powerful Synergy for Drug Design and Discovery

CHALLENGES IN AI IN ENVIRONMENTAL SCIENCE BASED RESEARCH

Artificial Intelligence Assisted Teaching and Learning and Research of Environmental Sciences

OVERVIEW OF THE CURRENT STATE OF AIR POLLUTION AND ITS IMPACT

APPLICATIONS OF AI IN ENVIRONMENTAL CHALLENGES

POTENTIAL OF AI IN ADDRESSING AIR POLLUTION

PROBLEMS WITH CONVENTIONAL AIR QUALITY MONITORING TECHNIQUES

AI TECHNIQUES FOR IDENTIFYING AND QUANTIFYING POLLUTION SOURCES

INCORPORATING AI INSIGHTS INTO CITY PLANNING FOR POLLUTION CONTROL

OVERCOMING CHALLENGES IN POLICY IMPLEMENTATION

FUTURE INNOVATIONS AND RESEARCH DIRECTIONS

Integrating AI Approaches in Teaching-Learning Associated with the Mitigation of Air Pollution: A Comprehensive Analysis

INTRODUCTION TO MOLECULAR DYNAMICS SIMULATIONS

Applications of Neural Network in Physics: Cosmology and Molecular Dynamics

CHEMICAL REPRESENTATION OF ATOMS AND MOLECULES IN COMPUTER-UNDERSTANDABLE FORMAT

APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN CHEMICAL SCIENCES

ROLE OF GENERATIVE AI IN CHEMICAL SCIENCES

Role of Artificial Intelligence in Teaching and Learning Chemical Sciences

AI powered tools and applications for teaching and learning chemistry

STUDIES TO DETERMINE THE INFLUENCE OF AI IN LEARNING CHEMISTRY

The benefits of using AI for Chemistry Education

Transformation in the World of Commerce and Economics through AI

EVOLUTION PROCURED BY GENERATIVE AI IN THE FIELD OF EDUCATION

LANGUAGE LEARNING MANAGEMENT SYSTEMS (LMS)

Role of AI in English and Language Learning

Challenges in the Implementation of AI Technology in Language Learning

Transforming English Pedagogy with Artificial Intelligence: Enroute to Enhanced Language Learning

The advancement of AI in Academic Research in the 21st century

Role of AI in Revolutionizing Academic Research

Navigating the Research Journey with Artificial Intelligence: Essential Steps

Generative AI (GenAI) in Academic Research

KEY ARTIFICIAL INTELLIGENCE TECHNIQUES EMPLOYED IN DATA ANALYSIS AND ANALYTICS

DIVERSE AI TOOLS FOR EMPOWERING ACADEMIC RESEARCH

EXPLORING THE ADVANTAGES OF AI IN ACADEMIC RESEARCH

A Comprehensive Examination of Challenges in Integrating Artificial Intelligence into Academic Research

Revolutionizing Learning Landscapes: Unleashing the Potential of AI in the Realm of Academic Research

REASONS TO ADDRESS ARTIFICIAL INTELLIGENCE IN EDUCATION

AI as a promising technology to support the educational process

INDIAN EDUCATION SYSTEM AND ARTIFICIAL INTELLIGENCE

Artificial Intelligence: Promising Applications and Potential Effectiveness

Future Trends and Innovations in Artificial Intelligence

Bentham Science Publishers

Manisha Singh

Saman Raza

"Computational Toxicology for Drug Safety and a Sustainable Environment  is a primer on computational techniques in environmental toxicology for scholars. The book presents 9 in-depth chapters authored by expert academicians and scientists aimed to give readers an understanding of how computational models, software and algorithms are being used to predict toxicological profiles of chemical compounds. The book also aims to help academics view toxicological assessment from the lens of sustainability by providing an overview of the recent developments in environmentally-friendly practices. The chapters review the strengths and weaknesses of the existing methodologies, and cover new developments in computational tools to explain how researchers aim to get accurate results. Each chapter features a simple introduction and list of references to benefit a broad range of academic readers.
 
 
 
List of topics:
 
1. Applications of computational toxicology in pharmaceuticals, environmental and
 
industrial practices
 
2. Verification, validation and sensitivity studies of computational models used in toxicology
 
assessment
 
3. Computational toxicological approaches for drug profiling and development of online
 
clinical repositories
 
4. How to neutralize chemicals that kill environment and humans: an application of
 
computational toxicology
 
5. Adverse environmental impact of pharmaceutical waste and its computational assessment
 
6. Computational aspects of organochlorine compounds: DFT study and molecular docking
 
calculations
 
7. In-silico studies of anisole and glyoxylic acid derivatives
 
8. Computational toxicology studies of chemical compounds released from firecrackers
 
9. Computational nanotoxicology and its applications
 
 
 
Readership
 
Graduate and postgraduate students, academics and researchers in pharmacology, computational biology, toxicology and environmental science programs."


Computational Toxicology for Drug Safety and a Sustainable Environment

Tahmeena Khan

"COVID-19 has spread like wildfire across the globe since the start of the SARS-CoV-2 outbreak, hampering quality of life at multiple levels and causing many deaths. Many aspects of the human experience have been affected, with a body of research being published on its effects on psychological and physical well being, loss of jobs, pay cuts, education, and unpaid caregiving. New findings on these aspects are still emerging as we learn more about the consequences of the pandemic.
 
 
 
This book is intended as a simple summary of recent findings about COVID-19 for academicians and students from science, humanities and commerce backgrounds to understand the pandemic from a microscopic view and how it has touched our lives at different levels.
 
 
 
A collection of topics is presented and explored through chapters dedicated to niche topics on COVID-19. Each chapter is authored by expert scientists, academicians and scholars from leading institutions in India.
 
 
 
The key features of this book set are:
 
- Interdisciplinary content, making it useful for readers from different academic streams
 
- A blend of basic and applied research in biology, medicine and social science
 
- A focus on findings from India
 
- Updated References for advanced readers
 
 
 
This collection of topics is invaluable for researchers and working professionals in industry and academia as well as general readers who want a broad, insightful perspective on COVID-19."


COVID-19: Origin, Impact and Management (Part 2)

Alfred J. Lawrence

Medicinal and Environmental Chemistry: Experimental Advances and Simulations is a collection of topics that highlight the use of pharmaceutical chemistry to assess the environment or make drug design and chemical testing more environment friendly.  The ten chapters included in the first part of this book set cover diverse topics, blending the fields of environmental chemistry and medicinal chemistry and have been authored by experts, scientists and academicians from renowned institutions. The book introduces the reader to environmental contaminants and techniques for their quantification and removal. A medicinal perspective for effects and remediation of environmental hazards, and therapeutic strategies available to design new and safer drugs, is addressed with a focus on knowledge about experimental and simulation methods. To further elaborate the importance of environmentally safe chemical practice, the concept of green chemistry has also been covered. Specialized chapters have been included in the book about persistent organic pollutants, heavy metal and plastic pollutants, the effect of environmental xenoesterogens on human health and the potential of natural products to combat ecotoxicity.  Key Features:1. 10 topics which blend environmental chemistry and medicinal chemistry2. Contributions from more than 30 experts3. Includes introductory topics on environmental pollutants, investigative techniques in drug design and environmental risk assessment and green chemistry4. Includes specialized topics on persistent pollutants, ecotoxicity remediation and xenoestrogens5. Bibliographic references This reference is an essential source of information for readers and scholars involved in environmental chemistry, pollution management and pharmaceutical chemistry courses at graduate and undergraduate levels. Professionals and students involved in occupational medicine will also benefit from the wide range of topics covered.


Medicinal and Environmental Chemistry: Experimental Advances and Simulations (Part I)

Medicinal and Environmental Chemistry: Experimental Advances and Simulations is a collection of topics that highlight the use of pharmaceutical chemistry to assess the environment or make drug design and chemical testing more environment friendly.  The eleven chapters included in the second part of this book set cover diverse topics, blending the fields of environmental chemistry and medicinal chemistry and have been authored by experts, scientists and academicians from renowned institutions. This part is more specialized in nature, focusing primarily on the effects of air pollution and water contamination on human health. Chapters covering pharmaceutical interventions and pollution control measures, respectively follow these initial topics.  Part II also features specialized topics that aim to address some unique challenges of the above mentioned problems including antibiotic pollution, pharmaceutical analysis of pollutants, chemosensors, biosteric modifications and new drug development strategies against SARS-CoV2. Key Features:1. 11 topics which blend environmental chemistry and medicinal chemistry2. Contributions from more than 40 experts3. Includes topics covering effects of air pollution on human health and disease4. Includes specialized topics on pharmaceutical analysis in the environment, and modifications of compounds for pharmaceutical purposes5. Bibliographic references This reference is an essential source of information for readers and scholars involved in environmental chemistry, pollution management and pharmaceutical chemistry courses at graduate and undergraduate levels. Professionals and students involved in occupational medicine will also benefit from the wide range of topics covered.


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Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning

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À propos des auteurs

Manisha Singh

Manisha Singh

Saman Raza

Saman Raza

Tahmeena Khan

Tahmeena Khan

Tahmeena Khan

Tahmeena Khan