This new two-volume addresses a number of state-of-the-art developments and unsolved open issues in the field of computational intelligence. Volume 1 focuses on data science and artificial intelligence. It highlights the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The chapters present diverse application of computer intelligence and machine learning in security, healthcare and medicine, agriculture, traffic science/smart cities, and language and text conversion. Volume 2 demonstrates empirical, theoretical, and application perspectives on smart technologies, computational intelligence in network technologies, and computational intelligence in software engineering, identifying the advantages and limitations of each. The chapters on smart technologies address their application in such areas as communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, satellite communication technology, ant colony optimization algorithms, etc. Together, these two volumes offer new research on presented by young and dynamic researchers and experts from industry and academia, sharing a plethora of new and emerging technologies that support their effective operations in computational intelligence in information systems. These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems’ (CIAIS- 2021), held in April 2021 at Manav Rachna University, India.

The new book presents a valuable selection of new and state-of-the-art technological advancements in various application areas using the concepts of AI and machine learning, highlighting the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address: Computational Intelligence in Image Processing Computational Intelligence in Healthcare Techniques for Natural Language Processing Computational Intelligence in Smart Cities The very diverse range of topics include AI and machine learning applications for In security: For using digital image processing for image fusion (face recognition, feature extraction, object detection as well tracking, moving object identification), for person re-identification for security purposes. In healthcare and medicine: For diagnosis and prediction of breast cancer, other cancers, diabetes, heart disease; for predicting susceptibility to COVID-19; for prediction of mood and anxiety disorders. In agriculture: For prediction of crop profit; for prediction of cropping patterns and recommendation for crop cultivation. In traffic science/smart cities: For understanding road scene images, for detection of traffic signs, for devising a fog-based intelligent traffic phase timing regulation system In language/speech/text: For automatic text summarization, for document indexing for unstructured data, for speech/accent recognition, for sound separation, for American Sign Language interpretation for nonsigners, for emotional recognition and analysis through speech, body postures with facial expressions, and other body movements (to improve the performance of virtual personal assistants / emotion recognition using speech, body postures with facial expressions and other body movements. This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare, image analysis, natural language processing, and smart cities. This includes academicians, people in industry, and students with engineering background with research interest in these areas. These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India.

This new volume presents a selection of state-of-the-art technological advancements in various application areas of IoT, network technologies, and software engineering that address unsolved open issues in the field of computational intelligence. The volume focuses on empirical, theoretical, and application perspectives on smart technologies, computational intelligence in network technologies, and computational intelligence in software engineering, identifying the advantages and limitations of each. The chapters on smart technologies address their application in such areas as communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, etc. The volume goes on to discuss computational intelligence in network technologies. These include comparisons of cryptography mechanisms, internet privacy protection, satellite communication technology, ant colony optimization algorithms, etc. The topics on computational intelligence in software engineering include security optimization via software-defined networking (SDN), education-based interactive automated agent, data warehouse requirement engineering, and more. The research contributions presented here by young and dynamic researchers and experts from industry and academia share a host of emerging technologies that support their effective operations in computational intelligence in information systems. These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India.

This issue of Child and Adolescent Psychiatric Clinics, guest edited by Drs. Gabrielle A. Carlson and Manpreet Kaur Singh, is Part I of a two-part issue covering Emotion Dysregulation in Children. This issue is one of four selected each year by our series Consulting Editor, Dr. Todd Peters. Topics discussed in this issue include but are not limited to: Aggression, irritability, and mood dysregulation; Measurement of Dysregulation in Children and Adolescents; The phenomenology of outbursts; Understanding, Assessing and Intervening with Emotion Dysregulation in Autism Spectrum Disorder; Dysregulation and Suicide in Children and Adolescents; Aggression and Dysregulation: A Trauma Informed Approach; Anger outbursts and aggressive symptoms in Tourette Disorder; ADHD and the Dysregulation of Emotion Generation and Emotional Expression; Dysregulation in major mental illness; and Dysregulation, Catastrophic Reactions and Anxiety Disorders, among others.

This issue of Child and Adolescent Psychiatric Clinics, guest edited by Drs. Gabrielle A. Carlson and Manpreet Kaur Singh, is Part II of a two-part issue covering Emotion Dysregulation in Children. This issue is one of four selected each year by our series Consulting Editor, Dr. Todd Peters. Topics discussed in this issue include but are not limited to: Explosive Outbursts at School; Treatment of Childhood Emotional Dysregulation During Inpatient and Residential Interventions; Psychopharmacology of Treating Explosive Behavior; Treating explosive irritability in pediatric bipolar disorders; Evidence Base for Psychosocial Interventions for the Treatment of Emotion Dysregulation in Children and Adolescents; Preventing Irritability and Temper Outbursts in Youth by Building Resilience; Psychoeducational Treatments for Mood Dysregulation; A Modular, Transdiagnostic Approach to Treating Severe Irritability in Children and Adolescents; Longitudinal Outcome of Chronic Irritability; and the future of irritability in children, among others.

Small incision lenticule extraction (SMILE) is a relatively new refractive procedure designed to treat a multitude of refractive errors such as myopia, hyperopia, presbyopia, and astigmatism. The procedure involves using a femtosecond laser to create a corneal lenticule which is extracted whole through a small incision without the use of a traditional excrimer laser. It is a painless procedure and is reported to achieve excellent post-operative outcomes (American Academy of Ophthalmology). This book is a complete guide to the new technique of SMILE surgery providing refractive surgeons with an overview of surgical procedure, refractive and physiological outcomes, complications and their management, and future applications. Beginning with an introduction to the history and development of femtosecond lasers, the next chapters discuss patient selection and the principles of the technique. The following sections cover outcomes, complications, and offer a comparison between SMILE and Femtosecond LASIK. The book features an interactive DVD ROM offering step by step guidance on surgical technique, and is highly illustrated with self-explanatory diagrams, clinical photographs and ASOCT images. Key points Complete guide to SMILE techniques for refractive surgeons Step by step guide to surgical procedure, outcomes, complications and future applications Includes interactive DVD ROM demonstrating surgical techniques Highly illustrated with diagrams, photographs and ASOCT images

Mental health clinicians have become increasingly aware that mood disorders often first manifest in childhood and adolescence. As the only reference for mental health professionals and trainees on the topic, Clinical Handbook for the Diagnosis and Treatment of Pediatric Mood Disorders fills a critical gap in the literature and addresses a critical need for the growing number of affected youth. The editor has recruited a roster of first-class contributors, and together, they have created an up-to-date resource that captures the rapid and dramatic advances in the field, offers practical solutions to common diagnostic and treatment challenges, and provides an evidence-based framework that encourages easy integration into practice. Designed to reach a broad audience of learners by providing authoritative and accessible information that is relevant and applicable to real-world clinical practice, the handbook also aims to be a useful compendium to clinicians in training, who can refer to it for expert consultation or augment their learning in clinical and academic settings. Useful features abound: • The chapter-opening cases engage the reader and create a down-to-earth, clinical framework for understanding the chapter's content. Readers will also find "clinical pearls" at the end of each chapter that distill the information presented and constitute an easy-to-use summary. • To further optimize learning, the book employs numerous graphical formats to illustrate, explain, and summarize chapter content, and supplements key content areas with an appendix of resources for those interested in expanding their knowledge. • The book was designed to appeal to learners along a wide continuum, and for trainees and practitioners in all stages of their careers—from the novice seeking a jump start in working with youth populations to the experienced clinician interested in brushing up on the most state-of-the-art evidence. In addition, the book will be of great interest to professionals from multiple disciplines, including general and subspecialty psychiatrists, nurses, social workers, psychologists, pediatricians, and other primary care specialties and allied health professionals. • The content is available in multiple formats, published with the latest information-sharing platforms in mind to ensure that readers can enjoy both in print and e-versions. Comprehensive, yet concise enough to be readily usable, Clinical Handbook for the Diagnosis and Treatment of Pediatric Mood Disorders provides professionals with the practical information needed to balance benefits, risks, and alternatives to state-of-the-art treatment approaches.

In recent years, wireless communication has become an integral part of daily life, allowing people across the world to communicate with each other easily, regardless of their geographical location. As these technologies develop, innovations are made in the ways in which they are constructed. Emerging trends in smart material usage in wireless technology requires further investigation for the optimization of next-generation communication technology. Innovative Smart Materials Used in Wireless Communication Technology focuses on the advancements of smart material usage in wireless communication technologies. It analyzes the design, usage, and construction of these smart materials for wireless applications. Covering topics such as millimeter wave antennas, semiconductor materials, and wearable applications, this premier reference source is an essential resource for material engineers and scientists, communications scientists, manufacturers, students and educators of higher education, librarians, researchers, and academicians.

In recent years, wireless communication has become an integral part of daily life, allowing people across the world to communicate with each other easily, regardless of their geographical location. As these technologies develop, innovations are made in the ways in which they are constructed. Emerging trends in smart material usage in wireless technology requires further investigation for the optimization of next-generation communication technology. Innovative Smart Materials Used in Wireless Communication Technology focuses on the advancements of smart material usage in wireless communication technologies. It analyzes the design, usage, and construction of these smart materials for wireless applications. Covering topics such as millimeter wave antennas, semiconductor materials, and wearable applications, this premier reference source is an essential resource for material engineers and scientists, communications scientists, manufacturers, students and educators of higher education, librarians, researchers, and academicians.

Develop programmatic functions to create powerful database applications About This Book * Write complex SQL queries and design a robust database design that fits your application's need * Improve database performance by indexing, partitioning tables, and query optimizing * A comprehensive guide covering the advanced PostgreSQL concepts without any hassle Who This Book Is For If you are a PostgreSQL developer with a basic knowledge of PostgreSQL development and you're want deeper knowledge to develop applications, then this book is for you. As this book does not cover basic installation and configurations, you should have PostgreSQL installed on your machine as a prerequisite. What You Will Learn * Write more complex queries with advanced SQL queries * Design a database that works with the application exactly the way you want * Make the database work in extreme conditions by tuning, optimizing, partitioning, and indexing * Develop applications in other programming languages such as Java and PHP * Use extensions to get extra benefits in terms of functionality and performance * Build an application that does not get locked by data manipulation * Explore in-built db functions and data type conversions In Detail PostgreSQL is the most advanced open source database in the world. It is easy to install, configure, and maintain by following the documentation; however, it's difficult to develop applications using programming languages and design databases accordingly. This book is what you need to get the most out of PostgreSQL You will begin with advanced SQL topics such as views, materialized views, and cursors, and learn about performing data type conversions. You will then perform trigger operations and use trigger functions in PostgreSQL. Next we walk through data modeling, normalization concepts, and the effect of transactions and locking on the database. The next half of the book covers the types of indexes, constrains, and the concepts of table partitioning, as well as the different mechanisms and approaches available to write efficient queries or code. Later, we explore PostgreSQL Extensions and Large Object Support in PostgreSQL. Finally, you will perform database operations in PostgreSQL using PHP and Java. By the end of this book, you will have mastered all the aspects of PostgreSQL development. You will be able to build efficient enterprise-grade applications with PostgreSQL by making use of these concepts Style and approach Every chapter follows a step by step approach that first explains the concept , then shows you how to execute it practically so that you can implement them in your application.

Compression methods are being rapidly developed to compress large data files such as images, where data compression in multimedia applications has lately become more vital .With the increasing growth of technology and the entrance into the digital age, a vast amount of image data must be handled to be stored in a proper way using efficient methods usually succeed in compressing images, while retaining high image quality and marginal reduction in image size .Wavelets are a mathematical tool for hierarchically decomposing functions. Image compression using Wavelet Transforms is a powerful method that is preferred by scientists to get the compressed images at higher compression ratios with higher PSNR values.

Traumatic dental injuries present difficult problems for both patients and their dentists. Current evidence allows the dental health care provider to manage situations that, in the past, often resulted in crippled dentition and unsightly appearance. Appropriate treatment can turn what at first glance looks like a hopeless situation into a very satisfactory outcome for patients. Most dental injuries involve damage to one or two teeth. However, often multiple teeth are injured and injuries are associated with soft tissue and alveolar fractures. In these cases, treatment must be prioritized and preference given to injuries for which time is important in determining long-term prognosis. Dental traumatology has progressed in recent years to improve the understanding of the biological considerations involved in both diagnosis and treatment principles. Through public awareness efforts, people now are more knowledgeable about dental trauma (e.g. knowing to put an avulsed tooth in milk). Research explores new approaches (e.g. laser doppler flowmeter for pulpal evaluation) and materials (e.g. Emdogains). The future has promise for even more successful management of traumatic dental injuries.

Cotton is an important commercial crop in India and plays a key role in national economy.For the past two decades, the national average of 440 kg/ha has not increased when compared to world average of 682 kg/ha. About 134 species of arthropods were found to be associated with the cotton crop in Punjab, of which bollworms cause serious damage. Among the bollworms, Helicoverpa armigera is a very serious polyphagous pest.Biological, cultural and chemical methods have been used to attempt its control.The extensive and indiscriminate use of conventional insecticides as well as synthetic pyrethroids against H. armigera has resulted in development of resistance to various insecticides.A novel method of controlling this pest is use of Bt cry toxin from a soil bacterium, Bacillus thuringiensis (Bt).Since its release has been able to reduce the use of chemical insecticide, thereby lowering the risks pertaining to environmental hazards, human health and production costs.The insertion of an additional Bt gene encoding for a different toxin (Cry2Ab) into current Bt cotton cultivars containing cry1Ac gene may provide additional activity on lepidopteran pests and would improve pest control val