Sustainable Utilization of Fungi in Agriculture and Industry covers current knowledge about of different fungal microorganisms, including economically important filamentous fungi and yeasts. 22 chapters summarize recent information about scientific investigations and the application of fungi in the production of industrial enzymes, organic acids (citric acid, lactic acid, etc.), biofuel (ethanol, H2 gas) and bioactive compounds for sustainable processes in agriculture, bioremediation, industries and therapeutics. Each chapter gives an updated and detailed account of knowledge on fungal microbes and their sustainable utilization in agriculture, white biotechnology, and other valuable industrial applications. Contributions are made by academic and professional experts in mycology and industrial biotechnology, presenting a broad perspective of the field in a simple, yet engaging style. Sustainable Utilization of Fungi in Agriculture and Industry is an informative reference for general readers, trainees, interested in sustainability measures in agriculture and industry. It also serves as reading materials for scholars, students and teachers involved in botany, microbiology, biotechnology and life sciences courses.

Myconanotechnology is the interface between mycology and nanotechnology. In other words, myconanotechnology represents the green synthesis of nanoparticles using fungi. The field is recently gaining attention due to the simple, resource efficient, and ecofriendly nature of fungal biotechnology. Therefore, Myconanotechnology is at the core of cost-effective and sustainable solutions for many industrial processes. This volume provides readers at all academic levels with a broad background on some of the fastest developing areas in myconanotechnology. It is organised into two sections, A and B. Section A updates readers on several cutting-edge aspects of the synthesis and characterization of nanoparticles through the use of fungi. Section B describes applications of myconanotechnology including: the management of bacterial and fungal diseases, pest control, among other applications in medicine and agriculture. The breadth of topics covered in the contents make this volume an informative resource on the field. Contributions are written by experts in industrial biotechnology, and include extensive references to published studies. This book is a timely reference for researchers, teachers and students, and all readers who are interested in new developments in industrial mycology and nanotechnology.

Intelligent Diagnosis of Lung Cancer and Respiratory Diseases presents information about diseases of the respiratory system and the relevant diagnostic imaging techniques. The book focuses on intelligent diagnostic imaging systems. The first section of the book deals with the physiological underpinnings of 3 major diseases that affect the respiratory system: tuberculosis, lung cancer and COVID-19. This section also explains the basic principles of artificial Intelligence that support the diagnosis of these diseases. The next section presents applications of intelligent systems to support the imaging diagnosis of COVID-19 and lung cancer, with emphasis on digital health and telemedicine approaches. Each chapter is organized into a readable format, and is accompanied with a detailed bibliographical information for further reading. This book is a reference for everyone seeking to understand how artificial intelligence can provide solutions for diagnostic support systems by processing and analyzing radiological images to improve early diagnosis and, consequently, lung disease prognosis.

Bioluminescence, the cold living light or the cold fire of the sea is extremely common in all oceans at all depths. However, this phenomenon is nearly absent in freshwater, with the exception of a freshwater limpet. More than 75% of deep-sea creatures have been reported to produce their own light. The luminescent marine plankton such as dinoflagellate, radiolarians, jellyfish, comb jellies, annelids, copepods, ostracods, mysids, amphipods, euphausiids, and tunicates form an important component in the marine food chain. Research on luminescent marine plankton is gaining momentum owing to its importance in life science research and medicine. The glowing Green Fluorescent Protein (GFP) extracted from the North Pacific jellyfish, Aqueorea victoria (for which the Japanese biologist, Osamu Shimonmura won the Nobel Prize in Chemistry in 2008) has helped shed light on key processes such as the spread of cancer, the development of brain cells, the growth of bacteria, damage to cells by Alzheimer's disease, and the development of insulin-producing cells in the pancreas. Therefore, it is difficult to underscore the importance of bioluminescence and the organisms associated with this phenomenon. Bioluminescent Marine Plankton is a unique reference that attempts to provide answers to questions about bioluminescence. The first of its kind, this book attempts to answer questions on the subject with a focus on planktonic organisms. 12 chapters provide information about the chemistry of bioluminescence, types of bioluminescent displays, distribution of bioluminescence among marine plankton, ecological functions and utility of planktonic bioluminescence. Chapters are dedicated to the biology and ecology of specific groups of plankton that span about 200 luminescent marine species. The detailed book is an essential compendium on marine plankton for a broad range of readers who want to learn about bioluminescent plankton. A list of detailed references is also provided for the benefit of teachers, students, researchers and enthusiasts interested in marine biology, aquaculture, and environmental sciences.

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. </p> The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.