Bentham Science Publishers

Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies.

The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains.

Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management.

Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and other networks which are complementary to ANN systems.

The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others.

Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design.

This reference presents information about quality benchmarks of Indian higher education institute (HEI) accreditation bodies namely, the National Assessment and Accreditation Council (NAAC) and the National Institute Ranking Framework (NIRF). The objective of the book is to enlighten stakeholders working in Indian HEIs on the recently revised accreditation and ranking processes, which are crucial to the career prospects of students. The contributors of each chapter include experienced NAAC assessors and educationalists. The authors present their own experiences in the light of the accreditation process and suggestions for the improvement of rankings in their institutes. Topics such as the student feedback system, student perception on private and public universities, student mentoring system, usage of ICT methods in teaching learning process, and integration of life skills into curriculum are discussed in this book. The information is presented in a simple, structured manner and is an informative resource for personnel involved in administrative and policy making roles in higher educational settings, with a focus on the Indian higher education system.

Functional foods (foods with known bioactive properties) have shown potential for preventive and therapeutic treatments. However, this potential must be safely determined before they enter the commercial market. At the same time, nutrition research is transforming into a data driven field with reference to the identification and development of functional food products due to the large number of variables affecting food biochemistry in the human body. This volume presents reviews of recent advances in food chemistry, food technology and nutraceutical research (for diet therapy and cosmetics).

Chapters in this volume cover a broad spectrum of topics:

- drug discovery and development in the modern nutraceutical industry,

- recent developments in the extraction, identification and quantification of bioactive peptides in foods,

- concepts of bioavailability, bioaccessibility, bioactivity, bioefficiency and bioconversion of bioactive foods,

- synthetic routes for obtaining bioactive compounds,

- the role of nutrigenomics to identify key cellular functions by specific genetic and epigenetic interactions with a nutrient,

- anti-cancer properties of important bioactive components of medicinal plants,

- the effect of a diet based on different bioactive foods on prevention and treatment of diabetes,

- antioxidant effects on cardiovascular disease,

- beneficial effects of bioactive foods on metabolic syndrome,

- the potential of tauroursodeoxycholic acid on prevention and recovery of neurodegenerative diseases,

- the effects of natural phytochemicals in prostate cancer,

- the effects of methylxanthines (caffeine and others), and culinary methods on physiological and toxicological effects of the bioactive food constituents.

The volume is an ideal reference for pharmacy students, nutritionists, healthcare providers and nutraceutical R&D specialists interested in functional foods.

Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing.

This book explains artificial intelligence models that support assistive processes in different situations.

The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing.

The book presents 8 chapters on these topics:

- Educational data mining in augmented reality virtual learning environment

- Brain and computer interfaces

- Tree-based tools for chemometric analysis of infrared spectra

- Applications of deep learning in medical engineering

- Bankruptcy prediction model using an enhanced boosting classifier

- Reputation systems for mobile agent security

- The crow search algorithm

- COVID-19 diagnosis and treatment

The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.

Awake thoracic surgery is a new surgical field that is set to expand in the near future. Employing sole epidural or local anaesthesia in fully awake patients renders many thoracic surgical procedures doable with less invasiveness and general anaesthesia related adverse effects can be avoided. This, in turn, facilitates fast track surgery and improves cost-effectiveness of treatment procedures. The book explains issues relevant to awake thoracic surgery including postoperative immunologic and stress-hormone responses, lung volume reduction surgery, pulmonary resections and thymectomy. This Ebook should be useful to readers interested in a comprehensive reference work on this intriguing minimally invasive surgical option.

Bacterial Diseases provides readers an overview of a broad variety of bacterial infections. Chapters cover the description of specific disease and its causative agent, followed by information about symptoms, diagnosis and clinical management. This easy-to-read resource is a suitable introductory textbook for pharmacy, medical, and dental students, as well as M Phil, and Ph.D. candidates for Pharmacology, Botany, Zoology, Microbiology, Pharmacy, Biotechnology and allied health science programs. Readers interested in a simple clinical summary of bacterial diseases can also benefit from the information provided.

Key Features:

- Coverage of a broad spectrum of bacterial infections over 41 topical chapters

- Easy-to-read presentation which provides a basic description of diseases covered to clinical diagnosis and management

- Emphasis on the route of infection

- References for further reading

Balance in Healthcare is an easy to understand guide to maintaining a balanced medium of activities for healthy living. The book points out key aspects of balance in living a healthy life, and gives information on toxic lifestyle elements that can cause imbalance. These aspects include lifestyle, diet, family relationships, spirituality, the immune system, the endocannabinoid system, the antioxidant system and the concept of energy balance in the human body. The contents are expressed in a simple way, while delving into the relevant scientific explanations and also place an emphasis on the positive aspects of relationships and spirituality. Balance in Healthcare therefore, serves as a simple detoxification reference to readers from all walks of life, enabling anyone to understand and relearn the traditional concept of balance from a scientific angle so that they can achieve their highest potential when making choices for their mental and physical well-being.

Basics of Organic Chemistry: A Textbook for Undergraduate Students is an essential guide for students who are learning organic chemistry. The book provides a clear and thorough introduction to fundamental concepts, beginning with the topic of structure and bonding, which lays the foundation by exploring atomic structure, hybridization, and chemical bonds. The second chapter on reaction mechanisms breaks down the processes and factors influencing chemical reactions. The next chapter introduces readers to reactive Intermediates including transient species like carbocations and free radicals, while the final two chapters on Stereochemistry and organic compounds examine the spatial arrangement of atoms and its impact on chemical properties.

Key features

- Clear explanations with detailed illustrations and structured chapters

- Real-world examples to connect theory with practice

- End-of-chapter exercises for self-assessment

- Bibliography for further reading

Designed for undergraduate students of chemistry and allied subjects, this textbook is a valuable resource for advanced studies, in organic chemistry, exam preparation, and laboratory work.

β-Glucan is generally considered to be a very safe immunomodulator. It is a well-known biological response modifier (BRM) that has been used as an adjuvant therapy for cancer since 1980, mostly in Japan. β-Glucan enhances the innate host defense against certain bacteria, yeast, and viral pathogens. I addition, glucans are also considered to be important in prophylaxis against irradiation. Various types of glucans are now routinely added both to human and animal food. At least 26 clinical trials are currently under way in several countries. The authors of this ebook have selected and brought together information on both theoretical and practical aspects of β-glucan use. The book is suitable for readers seeking timely and precise information on β-glucan history and various biological effects including possible use in the treatment of various diseases, without having any preliminary knowledge of natural immunomodulators. The book should not only provide an inspiration for carbohydrate and clinical chemists for further investigations in biomedicine, but it also presents a number of practical applicable results in immunology