الصفحة 11
الصفحة 11
Detection and analysis of SARS Coronavirus : Advanced biosensors for pandemic viruses and related pathogens
The highly contagious SARS CoV-2 pathogen has challenged health systems around the world as they struggle to detect and monitor the spread of the pathogen. In Detection and Analysis of SARS Coronavirus: Advanced Biosensors for Pandemic Viruses and Related Pathogens expert chemists Chaudhery Mustansar Hussain and Sudheesh K. Shukla deliver a practical analysis of how contactless coronavirus detectors may be developed using existing biosensor technology.
Designing with video : Focusing the user-centred design process
Digital video for user-centred co-design is an emerging field of design, gaining increasing interest in both industry and academia. It merges the traditions of design ethnography, participatory design, interaction analysis, scenario-based design, and usability studies into an integrated approach, which values the designer’s capacity to study and change the world creatively. Designing with Video: Focusing the User-centred Design Process covers the whole user-centred design project. The book illustrates in detail how digital video can be utilised throughout a design process, from the early user studies, through making sense of the video content and envisioning the future with video scenarios, to provoking change with video artefacts.
Designing machine learning systems : An iterative process for production-ready applications
Machine learning systems are both complex and unique. Each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. The book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems
Designing landscape architectural education : Studio ecologies for unpredictable futures
Asks designers and academic practitioners to describe their own work through an ecological lens, and then to articulate design approaches for developing new practices in landscape architecture teaching. Designing Landscape Architectural Education: Studio Ecologies for Unpredictable Futures, the Landscape Architecture Design Studio Companion serves as a resource for academic practitioners in the preparation and delivery of 'design-research studios' and students seeking guidance for design methodologies as a part of their landscape architectural education. It draws on the manifold issues of the climate crisis as a set of drivers to examine the utilisation of a range of innovative design approaches to address the current and future priorities of the discipline.
Design of Reinforced Concrete Buildings for Seismic Performance : Practical Deterministic and Probabilistic Approaches
Presents an elegant, simple and theoretically coherent design framework. Required strength is determined on the basis of an estimated yield displacement and desired limits of system ductility and drift demands. A simple deterministic approach is presented along with its elaboration into a probabilistic treatment that allows for design to limit annual probabilities of failure. The design method allows the seismic force resisting system to be designed on the basis of elastic analysis results, while nonlinear analysis is used for performance verification. Detailing requirements of ACI 318 and Eurocode 8 are presented. Students will benefit from the coverage of seismology, structural dynamics, reinforced concrete, and capacity design approaches, which allows the book to be used as a foundation text in earthquake engineering.
Design of Observational Studies
This book introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum’s Observational Studies. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies: "make your theories elaborate."
Dermatoethics : Contemporary ethics and professionalism in dermatology
This extensively updated textbook reviews the ethical issues faced within dermatology. Bringing together practical real-life case scenarios and scholarly analysis, it covers the foundations of bioethics, as well as ethical issues associated with the various roles dermatologists play, including clinician, professional, educator, business person, and scholar. New chapters on the ethics of dermatologic care during pandemics, non-traditional interventions, private equity in dermatology, self-care and improvement, skin cancer screening, maintenance of certification, the ethics of clinical trial design are also included.
Deploying .NET Applications : Learning MSBuild and ClickOnce
Whether building a console application, a web service, or a smart client, you eventually need to distribute your finished work. Deploying .NET Applications is a complete guide to delivering applications built with .NET. Packed with hands-on guidance, practical examples, and war stories from the authors many experiences with deployment scenarios, this book provides everything you need to know. The book begins by introducing the deployment problem, then examines why deployment is an engineering problem for organizations. Subsequent chapters provide detail about deploying each type of application, then discuss automated deployments.
Deoxynucleoside Analogs in Cancer Therapy
Emerging as an important new volume in the renowned Cancer Drug Discovery and Development™ series, Deoxynucleoside Analogs in Cancer Therapy expertly summarizes the current status of development and application of deoxynucleoside analogs. Authoritative up-to-date reviews are presented by scientists well known in their specific areas and all contributions include valuable sound advice on structure and topics. Organized into several sections, the first part covers general aspects of drug uptake and metabolism and explains how novel technology has enabled a rapid expansion of this field. The second part is concerned with a number of specific drugs including cytarabine, gemcitabine, troxacitabine, clofarabine and Ara-G. The final section covers pharmacokinetics, prodrugs, and specific applications such as radiosensitization, gene therapy, and the use of deoxynucleoside analogs as tracers
Dentofacial and occlusal asymmetries
Covers all crucial aspects of dentofacial and occlusal asymmetries. Dentofacial and Occlusal Asymmetries covers all crucial aspects of asymmetries encountered in the stomatognathic region regarding diagnosis, treatment planning, management, and prognosis. Divided into three core sections, the first part focuses on the etiology of asymmetry and whether it is congenital or acquired through disease or trauma. The second and third sections go on to discuss localization and management, providing information on topics such as interception, correction, and camouflage.
Dental secrets
Offering practical tips and expert answers to topics in dentistry and oral medicine, Dental Secrets, 4th Edition provides an ideal preparation tool for exams, clinical rotations, and board certification. A concise, illustrated Q & A format covers key areas such as oral pathology and radiology, periodontology, endodontics, restorative dentistry, prosthodontics, orthodontics, infection control, and oral and maxillofacial surgery. Written by Stephen Sonis and a team of expert contributors, this mini-reference makes it easier to prepare for real-world clinical scenarios and review for the NBDE and other certification exams
Dental Implants and Oral Microbiome Dysbiosis : An Interdisciplinary Perspective
A one-stop, reference manual to understand the basic concepts of dental implant design, the related microbiome, research models and current concepts as well as futuristic perspectives in implant surface modification. The manual-like design including colorful illustrations and important critical questions will help researchers and advanced students in understanding the contemporary status and in designing studies for innovative treatments of dental implant infections. Considering the microbiome of dental implant related environment in health and disease is imperative to design strategies to good practice and prevention of infections around implants.
Defense against Bioterror : Detection Technologies, Implementation Strategies and Commercial Opportunities ; Proceedings of the NATO Advanced Research Workshop on Defense against Bioterror: Detection Technologies, Implementation Strategies and Commercial Opportunities, held in Madrid, Spain from 8 to 11 April 2004
A critical assessment of state-of-the-art of emerging ("breakthrough") biosensor technologies that will allow for the rapid identification of biological threat agents in the environment and human population, Identification of directions for future research, and to promote close working relationships between scientists from different countries and with different professional experience. The volume is devoted to a comprehensive overview of the current state of biological weapons threat; challenges confronting biodetection technologies and systems; ongoing research and development; and, future requirements. Biosensor technologies including detection platforms, networked alarm-type biodetector systems, implementation strategies, electro-optical and electrochemical biosensors.
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Presents a comprehensive comparison of the performance of stochastic optimization algorithms / Includes an introduction to benchmarking and statistical analysis / Provides a web-based tool for making statistical comparisons of optimization algorithms / Overviews of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios. The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches.
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever.
Deep Learning to See : Towards New Foundations of Computer Vision
Topics and features: Presents a curiosity-driven approach, posing questions to stimulate readers to design novel computational models of vision Offers a rethinking of computer vision, arguing for an approach based on vision in nature, versus regarding visual signals as collections of images Provides an interdisciplinary commentary, aiming to unify computer vision, machine learning, human vision, and computational neuroscience Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions.
Declarative agent languages and technologies II ; 2nd international workshop, DALT 2004, New York, NY, USA, July 19, 2004, revised selected papers
Nearly 40 research groups worldwide were motivated to contribute to this event by submitting their most recent research achievements, covering a wide variety of the topics listed in the call for papers. More than 30 top researchers agreed to join the Program Committee, which then collectively faced the hard task of selecting the one-day event program. The fact that research in multi-agent systems is no longer only a novel and promising research horizon at dawn is, in our opinion, the main reason behind DALT’s (still short) success story. On the one hand, agent theories and app- cations are mature enough to model complex domains and scenarios, and to successfully address a wide range of multifaceted problems, thus creating the urge to make the best use of this expressive and versatile paradigm, and also pro?t from all the important results achieved so far. On the other hand, bui- ing multi-agent systems still calls for models and technologies that could ensure system predictability, accommodate ?exibility, heterogeneity and openness, and enable system veri?cation.
Decision Making in Dental Implantology : Atlas of Surgical and Restorative Approaches
offers an image-based resource to both the surgical and restorative aspects of implant therapy, presenting more than 2,000 color images with an innovative case-by-case approach. Takes a highly pictorial approach to all aspects of implant dentistry Discusses both the surgical and restorative aspects of implant therapy in a single resource. Describes a wide range of clinical scenarios likely to be encountered in daily practice Covers anterior, posterior, and full-mouth restorations . Presents more than 2,000 color images showing the basic concepts and clinical cases
Data Mining : A Knowledge Discovery Approach
This book on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.
DARPA Grand Challenge : The Great Robot Race
The goal of the new series of Springer Tracts in Advanced Robotics (STAR) is to bring, in a timely fashion, the latest advances and developments in robotics on the basis of their significance and quality. It is our hope that the wider dissemination of research developments will stimulate more exchanges and collaborations among the research community and contribute to further advancement of this rapidly growing field. The volume edited by Martin Buehler, Karl Iagnemma and Sanjiv Singh presents a unique and extensive collection of the scientific results by the teams which took part into the DARPA Grand Challenge in October 2005 in the Nevada desert. This event reached an incredible peak of popularity in the media, the race of the century like someone called it! The Grand Challenge demonstrated the fast growing progress - ward the development of robotics technology, as it showed the feasibility of using mobile robots operating autonomously in real world scenarios.
