This book is a new addition for a broad-spectrum library in ophthalmology and other specialties in medicine of "InTech." It addresses ocular infections. These infections may result in blindness if not correctly diagnosed and promptly treated. Therefore, it is essential to be fully aware and knowledgeable about the manifestations of these diseases, and this book covers some of the different aspects of them. The chapters were written by experts from around the globe and these reflect the importance of the subject. The book is aimed for ophthalmologists, residents in ophthalmology and infectious diseases, general practitioners, and researchers in hope to advance the knowledge for the benefit of the world habitants wherever they are.

Since ocular infections are one of the most frequent occurrences in ophthalmology, the treatment for these infections must be fast, precise and effective. In order to address this goal, it is important to identify and characterize the culprit microorganisms involved in the pathogenesis of ocular infections. Clinical diagnosis of ocular infections can be confirmed by several techniques based on microbiological test of ocular samples. Some of these techniques include classic microbiological testing in which it is necessary to isolate microorganisms to characterize them by biochemical analysis which require significant resources and timing.

Praise for the First Edition: "Developing a comprehensive differential diagnosis for a specific complaint is a daunting task even for experienced advanced practice nurses. This user-friendly clinical guide provides a strategy and standard format for working through this complex task. It is a wonderful tool for both students and new advanced practice nurses."–5 stars, Doody's This one-of-a-kind resource is designed to help Advanced Practice Provider students master the process of conducting a quality differential diagnosis. It contains 95 symptom-based cases that empower readers to practice and hone their clinical skills. Consistently formatted, patient-based case scenarios begin with a common symptom and provide expert guidance to help students work though a diagnosis. Diagnostic reasoning for each clinical scenario is presented step-by-step and each step is explicitly linked to the next. They are now organized by body system and coordinate with related texts for easy reference. Cases include focused patient history questions and responses, physical exam findings, a differential diagnosis table, a diagnostic examination table, and a summary analyzing the critical thinking process. Symptoms are presented via a systematic case study approach that encompasses chief complaint, past history, physical exam, case study, differential diagnosis, diagnostic exam, and clinical decision making. Boxes comparing clinical characteristics and differential diagnosis further help to illuminate the decision-making process. New to the Third Edition: Includes 23 completely new cases Delivers 55 Test Bank Multiple Choice Questions for instructors to assign Provides online access to 18 additional cases Reorganized by body system for easy reference Presented in two-color design for ease of use Key Features: Provides step-by-step approach to building sound clinical decision-making skills Links each step to the next for utmost clarity Guides APP students and novice practitioners in conducting a problem-focused history and examination Presents cases systematically for ease of use Includes unique differential diagnosis tables and diagnostic examination tables to clarify decision-making strategies Illuminates decision making with boxes comparing clinical characteristics and differential diagnosis

This book addresses ocular infections. These infections may result in blindness if not correctly diagnosed and promptly treated. This book is aimed for ophthalmologists, residents in ophthalmology and infectious diseases, general practitioners, and researchers.

Since the last edition of this book, there have been a number of advances in the fields of glaucoma, corneal disease, medical retina and genetics. This new edition discusses these developments while also providing an introduction to the specialty of clinical ophthalmology for medical students, trainee ophthalmologists, optometrists, general practitioners, and anyone with a special interest in the subject. Each chapter contains a brief introduction and an outline of the anatomy of the eye and orbit, and utilises an “answering problems” format. Emphasis is placed on the efficacy of modern treatments in ophthalmology and brief historical information is provided where needed. Most chapters remain in the original format of keeping a dialogue to maintain interest rather than a purely didactic approach with bullet points. References are deliberately kept to a minimum and the chapters end with a concise summary to assist the reader with remembering the key points for each topic.

Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.

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This volume addresses the major design challenges and research potential in electronic device applications in healthcare and biomedical systems, exploring the blending of innovative mobile communications, network technologies, and medical sensor and ubiquitous computing devices with medical and biological applications. The authors explore current and future trends in new communication and network technologies for healthcare delivery and new wireless telemedical and mobile health services. The chapters look at the application of machine learning, convolutional neural networks, smartphone-based devices, IoT sensors, and other smart technologies for health diagnosis and monitoring. The volume also looks at integrated circuit design for healthcare applications. The design of energy harvesting systems for a low power biomedical applications is considered, and another unique chapter illustrates the ability of mHealth technologies by using machine learning to predict which blood groups provide resistance against the COVID-19 Delta variant. The main driving forces for the transformation of current healthcare systems are the growing aging population, sharp rising healthcare costs, and frequent occurrences of chronic diseases, resulting in the need to deliver healthcare services in more cost-effective and responsive ways. The traditional hospital-centered healthcare systems, which mainly focus on diagnosis and treatment, are now ready to transform into individual-centered based healthcare system, which, in turn, focuses primarily on early detection, early diagnosis, and long-term monitoring. Electronic devices for biomedical and mHealth are facilitating this transformation in innovative ways. This volume, Advanced Research in Electronic Devices for Biomedical and mHealth, provides a selection of insightful chapters on topics that will be of interest to researchers, faculty, and industry professionals in the fields of biophysics, biomedical engineering, healthcare systems, medical informatics, bioinformatics, and digital electronics devise design.