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Biliary Lithiasis : Basic Science, Current Diagnosis and Management
The book provides an overview on biliary lithiasis and all its clinical pictures, twenty years after the first laparoscopic cholecystectomy. The gallbladder, the main bile duct and intra-hepatic stones, in their uncomplicated and complicated forms are illustrated.
Between dirt and discussion : Methods, methodology and interpretation in historical archaeology
The cases presented in this volume revisit old methods and previous scholarly approaches with new perspectives, along with incorporating the newest technologies available to understanding the past.
Bergeys manual of systematic bacteriology ; Vol.2 : The proteobacteria ; Part A : Introductory essays
Includes introductory chapters on classification of prokaryotes, the concept of bacterial species, numerical and polyphasic taxonomy, bacterial nomenclature and the etymology of prokaryotic names, nucleic acid probes and their application in environmental microbiology, culture collections, and the intellectual property of prokaryotes.
Beginning deep learning with TensorFlow : Work with Keras, MNIST data sets, and advanced neural networks
Stats with an introduction to AI, where you’ll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, you’ll jump into simple classification programs for hand-writing analysis. Once you’ve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, you’ll get into the heavy lifting of programming neural networks and working with a wide variety of neural network types such as GANs and RNNs. Deep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer! You will: Develop using deep learning algorithms Build deep learning models using TensorFlow 2 Create classification systems and other, practical deep learning applications
Bayesian networks and Influence diagrams : A guide to construction and analysis
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Intended primarily for practitioners, this book does not require sophisticated mathematical skills or deep understanding of the underlying theory and methods nor does it discuss alternative technologies for reasoning under uncertainty.
Basic guide to oral health education and promotion ; 3rd ed.
An essential guide to help dental nurses prepare for a qualification in Oral Health Education and thereafter practice as an Oral Health Educator. It will help readers confidently educate patients about diseases and conditions that affect the oral cavity, and support their prevention, treatment, and management. Offers a guide for dental nurses taking a post-registration Certificate in Oral Health Education Is fully updated to reflect changes in the industry, science, and course syllabus Incorporates information on the new classification of periodontal and peri-implant diseases Contains new information on topics including dementia, denture advice, and burning mouth syndrome Includes an expanded section on promotion
Balloon Kyphoplasty
This book focuses on balloon kyphoplasty and alter- tive minimally invasive treatments for stabilization of osteoporotic vertebral fractures. The optimal treatment of a patient with osteoporotic vertebral fractures requires an interdisciplinary - proach, and therefore our book draws on the expertise of orthopedic surgeons, traumatologists and neu- surgeons, and also includes a chapter on medical treatment.
Bacteriocins : Ecology and Evolution
Microbes produce an extraordinary array of defense systems. These include bacteriocins, a class of antimicrobial molecules with narrow killing spectra, produced by bacteria. The book describes the diversity and ecological role of bacteriocins of Gram-positive and Gram-negative bacteria, presenting a new classification scheme for the former and a state-of-the-art look at the role of bacteriocins in bacterial communication. It discusses the molecular evolution of colicins and colicin-like bacteriocins, and provides a contemporary overview of archaeocins, bacteriocin-like antimicrobials produced by archaebacteria. Furthermore, various modeling (in silico) studies elucidate the role of bacteriocins in microbial community dynamics and fitness, delving into rock-paper-scissors competition and the counter-intuitive survival of the weakest. The book makes compelling reading for a multi-faceted scientific audience, including those working in the fields of biodiversity and biotechnology, notably in the human and animal health domain.
Axially chiral compounds : Asymmetric synthesis and applications
Appearing widely in natural products, biologically active molecules, asymmetric chemistry, and material science, axially chiral motifs constitute the core backbones of the majority of chiral ligands and organocatalysts in asymmetric catalysis. In a new work of particular relevance to synthetic chemists, Axially Chiral Compounds: Asymmetric Synthesis and Applications delivers a clearly structured and authoritative volume covering the classification, characteristics, synthesis, and applications of axial chirality.
Autonomous vehicles technological trends
The automotive industry has always been synonymous with research and innovation, but nowadays the industry is adding pressure and is establishing the agenda of the researchers from the field. Visions have been provided, and the hardware and the software exist; the only question remaining is: “who is going to deliver”? To answer this question, we encouraged scientists, researchers, industry specialists, and academics to share their vision of autonomous vehicles. What will the platform look like? What kind of hardware and software is most suitable? Who will make the connection between these two interdependent environments (and how), so that in the end the AI will define the process? These are the pressing issues of the current moment, and this Special Issue will help all those interested in the topic to promote their vision and ideas.
Autonomous intelligent systems : Multi-agents and data mining ; 2nd International workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007, Proceedings
MAS offiers powerful metaphors for information system conceptualization, a range of new techniques, and technologies specifically focused on the design and implementation of lar- scale open distributed intelligent systems. KDD also provides intelligent inf- mation technology with powerful ideas, algorithms, and software means to help cope with the main problem of artificial intelligence, formulated in the we- known question “Where does the knowledge come from?”, thus actually making modern applications intelligent and adaptive. The evident recent trend in both science and industry is to integrate and take advantage of both technologies. The existing experience with combined application of multi-agent technology to design architectures of distributed (- erarchical and peer-to-peer) data mining and KDD systems, as well as the u- lization of data mining and KDD achievements to provide enhanced intelligence of MAS, confirms the fact that both technologies are capable of mutual enri- ment and their integrateduse may result in intelligent information systems with new emergent properties.
Autonomous intelligent systems : Agents and data mining ; International workshop, AIS-ADM 2005
This book constitutes the refereed proceedings of the International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2005, held in St. Petersburg, Russia in June 2005. The 17 revised full papers presented together with 5 invited papers and the abstract of an invited talk were carefully reviewed and selected from 29 submissions. The papers are organized in topical sections on agent-based data mining issues, ontologies and Web mining, and applications and case studies.
Automorphic Forms and Lie Superalgebras
Most known examples of Lie superalgebras with a related automorphic form such as the Fake Monster Lie algebra whose reflection group is given by the Leech lattice arise from (super)string theory and can be derived from lattice vertex algebras. The No-Ghost Theorem from dual resonance theory and a conjecture of Berger-Li-Sarnak on the eigenvalues of the hyperbolic Laplacian provide strong evidence that they are of rank at most 26.The aim of this book is to give the reader the tools to understand the ongoing classification and construction project of this class of Lie superalgebras and is ideal for a graduate course.
Atlas of clinical hematology
The volume covers all the microscopic methods in hematology that form the basis of diagnosis as well as the results of modern immunologic, cytogenetic and molecular-genetic investigation. Special emphasis is placed on the cytogenetic and molecular-genetic characterization of biological entities that might form the basis for innovative therapies.
Assistive technologies, robotics, and automated machines in the health domain
The field of healthcare is constantly evolving and advancing with new technologies and innovations. Among these, assistive technologies, robotics, and automated machines are rapidly gaining ground as powerful tools to improve the quality of care and enhance patient outcomes. From wearable devices that monitor vital signs to surgical robots that assist in complex procedures, these technologies have the potential to revolutionize the way we deliver healthcare. The development and the integration of assistive technologies, care robots, and automated machines are strategic both as single components, when paired together, and when interconnected in the health domain.This reprint explores the latest developments in assistive technologies, robotics, and automated machines in the health domain, providing a comprehensive overview of their applications and potential impact. The reprint is for the benefit of healthcare professionals, researchers, engineers, and students interested in these rapidly evolving fields.
Aspects of Automatic Text Analysis
This book It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis from several (i.e. linguistic, mathematical, and information theoretical) perspectives. It describes methodological as well as methodical foundations and collects approaches in the field of text and corpus linguistics. In this sense, it contributes to the computational linguistic and information theoretical grounding of automatic text analysis.
Asian Digital Libraries. Looking Back 10 Years and Forging New Frontiers ; 10th International Conference on Asian Digital Libraries, ICADL 2007, Hanoi, Vietnam, December 10-13, 2007. Proceedings
The theme reflects upon the growth of the digital libraries community and explores new areas that the community could delve into in the coming years.
Artificial neural networks in Pattern Recognition ; 9th IAPR TC3 Workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 2020, Proceedings
This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.
Artificial neural networks in Pattern Recognition ; 3d IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings
Constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008.
Artificial neural networks : Recent advances, new perspectives and applications
This book explores the potential of ANNs for applications in different fields. Itincludes eight chapters that discuss deep learning, ANN tools, and other cutting-edgetechnologies. It also suggests avenues for further research into ANN techniques formedical imaging to detect breast tumors, classification of COVID-19 surveillancedatasets, health management, estimation of materials processing parameters, solarenergy management, and control of a petrochemical unit.
