تحسين النتائح
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الصفحة 1
الصفحة 1
Liver MRI : Correlation with other Imaging Modalities and Histopathology
In this seminal manuscript the - thor described a new imaging technique which moved the single dimension of NMR spectroscopy to the dual dimension of spatial orientation, thereby resulting in the foundation of modern magnetic re- nance (MR) imaging. Over the ensuing years, MR imaging has assumed an increasingly important role in clinical imaging. It distinguishes itself from other imaging modalities, such as ultrasound (US) or computed tomography (CT), by the unique ability to visualize specific tissue components in a non-- vasive manner. In the earlier days, diagnostic MR imaging was limited to cerebral and musculoskeletal diseases. - aging of other areas which are more prone to movement through breathing (abdominal) or pulsation motions (cardiac) became available more recently, with the introduction of faster sequences and the - velopment of more dedicated MR imaging coils.
Chemical principles of nanoengineering
Nanomaterials, which possess at least one dimension lower than 100 nanometers, are increasingly at the forefront of technological and chemical innovation. The properties of these uniquely minute materials give them distinctive applications across a huge range of industries and research fields. It is therefore critical that the next generation of engineers and materials scientists understand these materials, their chemical properties, and how they form bonds
Biodiversity-health-sustainability Nexus in socio-ecological production landscapes and seascapes (SEPLS)
It is a compilation of case studies that provide useful knowledge and lessons that derive from on-the-ground activities and contribute to policy recommendations, focusing on the interlinkages between biodiversity and multiple dimensions of health (e.g., physical, mental, and spiritual) in managing socio-ecological production landscapes and seascapes (SEPLS). This book provides insights on how SEPLS approaches can contribute to more sustainable management of natural resources, achieving global biodiversity and sustainable development goals, and good health for all. It is also expected to offer useful knowledge and information for an upcoming three-year thematic assessment of “the interlinkages among biodiversity, water, food, and health” (the so-called “nexus assessment”) by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES). The book begins with an introductory chapter followed by eleven case study chapters demonstrating the nexus between biodiversity, health, and sustainable development, and then a synthesis chapter clarifying the relevance of the case study findings to policy and academic discussions. It will be of interest to scholars, policymakers, and professionals in the field related to sustainable development.
Benign anorectal diseases : Diagnosis with endoanal and endorectal ultrasound and new treatment options
New three-dimensional endoanal and endorectal ultrasonographic and magnetic resonance imaging techniques have given better insight into the complex anatomy of the pelvic floor and its pathologic modification in benign anorectal diseases. Obstetrical events leading to fecal incontinence in females, the relationship between fistulous tracks and the sphincter complex, and mechanisms of obstructed defecation syndrome can now be accurately evaluated, which is of fundamental importance for decision making.
Animals and the shaping of modern medicine : One health and its histories
This book breaks new ground by situating animals and their diseases at the very heart of modern medicine. In demonstrating their historical significance as subjects and shapers of medicine, it offers important insights into past animal lives, and reveals that what we think of as ‘human’ medicine was in fact deeply zoological.Each chapter analyses an important episode in which animals changed and were changed by medicine. Ranging across the animal inhabitants of Britain’s zoos, sick sheep on Scottish farms, unproductive livestock in developing countries, and the tapeworms of California and Beirut, they illuminate the multi-species dimensions of modern medicine and its rich historical connections with biology, zoology, agriculture and veterinary medicine. The modern movement for One Health – whose history is also analyzed – is therefore revealed as just the latest attempt to improve health by working across species and disciplines.
3D printing of pharmaceutical and drug delivery devices progress from bench to bedside
Discover the latest, fast-developing technology to help move towards more cost-effective, small-batch, decentralized manufacturing of personalized systems . 3D printing has revolutionized manufacturing. Its precision and flexibility have enabled the large-scale production of materials and devices too complex for conventional industrial manufacturing. This has been particularly revolutionary in the field of pharmaceutical production, where 3D printing is being integrated into the manufacture of both drugs and drug delivery devices. It has never been more important for industry professionals to understand this form of production.
Between Peace and Conflict in the East and the West : Studies on Transformation and Development in the OSCE Region
This book features various studies on democratization, transformation, socio-economic development, and security issues in the Organization for Security and Cooperation in Europe (OSCE) geographical region and beyond. Written by experts and scholars working in the field of human dimension, security, transformation and development in Europe and Asia, particularly in post-soviet and communist countries, it examines the connectivity that the OSCE provides between the East and the West.
Machine Learning for Multimedia Content Analysis
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to viewers. A TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image, or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.
Machine learning approach for cloud data analytics in IoT
Covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications. Elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
Machine learning and its application to reacting flows: ml and combustion
These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies and the non-negligible effects of combustion on environment. Although alternative technologies based on renewable energies are coming up, their shares for the TPES is are less than 5% currently and one needs a complete paradigm shift to replace combustion sources. The book covers the current state of the art in these two topics and outlines the challenges involved, merits and drawbacks of using ML for turbulent combustion simulations including avenues which can be explored to overcome the challenges.
Linear and Generalized Linear Mixed Models and Their Applications
This book covers two major classes of mixed effects models—linear mixed models and generalized linear mixed models—and it presents an up-to-date account of theory and methods in analysis of these models as well as their applications in various fields. It offers a systematic approach to inference about non-Gaussian linear mixed models. Furthermore, it discusses the latest developments and methods in the field, incorporating relevant updates since publication of the first edition. These include advances in high-dimensional linear mixed models in genome-wide association studies (GWAS), advances in inference about generalized linear mixed models with crossed random effects, new methods in mixed model prediction, mixed model selection, and mixed model diagnostics.
Building a Data Warehouse : With Examples in SQL Server
The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.
Artificial intelligence for multisource geospatial information
Collects 10 original research contributions published in the Special Issue entitled “Artificial Intelligence for Multisource Geospatial Information” of the ISPRS International Journal of Geo-Information. The focus is on different methods of Geospatial Artificial Intelligence (GeoAI) based on deep learning using different network architectures, clustering, soft computing, and semantic approaches. They are proposed to deal with a variety of Geospatial Big Data (GBD), such as georeferenced texts and photos in social networks, remote sensing images, cartographic maps, multidimensional geo databases, metadata in spatial data infrastructures, and for different tasks, such as for multisource georeferenced text integration and geodata flexible querying, for social sensing by applying sentiment analysis, clustering and geo analysis, for segmentation of roads, clouds and snow, and for detection of small targets and people on the streets.
Artificial intelligence and data mining approaches in security frameworks
Offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks ; Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day ; Contains numerous examples, offering critical solutions to engineers and scientists ; Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Agent-based Supply Network Event Management
Supply Chain Event Management (SCEM)" is one of the major topics in application-oriented Supply Chain Management. However, many solutions lack conceptual precision and currently available client-server SCEM-systems are ill-suited for complex supply networks in today's business environment,In this book a thorough analysis of the event management problem domain is the starting point to develop a generic agent-based approach to Supply Network Event Management. The concept is illustrated with prototypical implementations and assessed in a multi-dimensional evaluation of potential benefits. The main focus lies on practical issues of event management (e.g. semantic interoperability) and economic benefits to be achieved with agent technology in this state-of-the-art problem domain.
3-D Shape Estimation and Image Restoration : Exploiting Defocus and Motion-Blur
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a scene—as well as its radiance properties—and which in turn can be used to generate novel images with better quality. 3-D Shape Estimation and Image Restoration presents a coherent framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield "restored" images. It provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion.
3D Mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp
Focusses specifically on topics that are important in three-dimensional modelling, surface design and real-time character animation. It provides an in-depth coverage of data structures and popular methods used in geometry processing, keyframe and inverse kinematics animations and shader based processing of mesh objects. It also introduces two powerful and versatile libraries, OpenMesh and Assimp, and demonstrates their usefulness through implementations of a wide range of algorithms in mesh processing and character animation respectively. This Textbook is written for students at an advanced undergraduate or postgraduate level who are interested in the study and development of graphics algorithms for three-dimensional mesh modeling and analysis, and animations of rigged character models.
3D Printing in Oral Health Science : Applications and Future Directions
Equips readers with a sound understanding of contemporary clinical applications in all fields of dentistry and their future directions. In the last few years, the development of 3D printing for medical and dental applications has increased tremendously. Advancements in 3D printing create the possibility of customized products, savings on small-scale productions, ease of sharing and processing of patient image data, and educational up-gradation. Looking at the dental specialties, it is evident that 3D printing has applications in all aspects of oral health science including prosthodontics, oral surgery, periodontics, endodontics, and orthodontics. This book will cover all major fields in dentistry and will help the practitioner in the process of decision-making and apply concepts in clinical or laboratory practice. It is based on current scientific evidence to provide readers with an up-to-date contemporary underst
3D printing in oral & maxillofacial surgery
A comprehensive guide to 3D printing and 3D bioprinting methods and their application in oral and maxillofacial surgeries. Among the 3D printing methods considered are fused deposition modeling, selective laser sintering, photopolymer jetting, powder binder printing, and stereolithography, while the coverage of 3D bioprinting encompasses inkjet, microextrusion, and laser techniques. In each case, the relevance of the technique to oral and maxillofacial surgery is explained. In addition, the available inks and bioinks for 3D printing are reviewed. The roles of soft and hard tissue printing in oral and maxillofacial tissue engineering and the use of 3D printing in multi- and interfacial tissue engineering are then examined in depth. The particular value of 3D printing in the treatment of critically sized defects is discussed separately. Finally, up-to-date information is provided on guided tissue/bone regeneration using 3D printing. The book will be of interest to both oral and maxillofacial surgeons and biomedical engineers.
3D imaging in endodontics : A new era in diagnosis and treatment
Full understanding of the role of cone beam computed tomography (CBCT) in helping to solve many of the most challenging problems in endodontics. It will shorten the learning curve in application of this exciting imaging technology in a variety of contexts: difficult diagnostic cases, treatment planning, evaluation of internal tooth anatomy prior to root canal therapy, nonsurgical and surgical treatments, early detection and treatment of resorptive defects, and outcomes assessment. The ability to obtain an accurate 3D representation of a tooth and the surrounding structures by means of noninvasive CBCT imaging is changing the approach to clinical decision making in endodontics. Clinicians long accustomed to working in very small, three-dimensional spaces are no longer constrained by the limitations of two-dimensional imaging. The challenges of mastering the new technology can, however, be daunting. The detailed guidance contained in this book will help endodontists to take full advantage of the important benefits offered by CBCT.
