الصفحة 16
الصفحة 16
Differential Undercounts in the U.S. Census : Who is Missed?
This book describes the differences in US census coverage, also referred to as “differential undercount”, by showing which groups have the highest net undercounts and which groups have the greatest undercount differentials, and discusses why such undercounts occur. In addition to focusing on measuring census coverage for several demographic characteristics, including age, gender, race, Hispanic origin status, and tenure, it also considers several of the main hard-to-count populations, such as immigrants, the homeless, the LBGT community, children in foster care, and the disabled. However, given the dearth of accurate undercount data for these groups, they are covered less comprehensively than those demographic groups for which there is reliable undercount data from the Census Bureau. This book is of interest to demographers, statisticians, survey methodologists, and all those interested in census coverage.
Diagnosis and Treatment of Human Mycoses
Diagnosis and Treatment of Human Mycoses brings together globally-recognized mycoses experts to guide readers in the use of current knowledge in the field of medical mycology to manage those who suffer from fungal infections (mycoses). Often, diagnostic strategies and tests, including basic and directed culturing techniques, histopathology with standard and special stains, serological methods, and radiological studies all need to be considered and commonly combined to make the diagnosis of fungal infection. This volume first introduces and reviews these tools separately and then as they pertain to specific infections or groups of diseases. The volume consists of four parts. Parts I-III provide an overview of diagnostic and therapeutic tools, and part IV presents the human mycoses.Diagnosis and Treatment of Human Mycoses is meant to be a concise text that will provide the busy infectious disease, hematology–oncology, pulmonology, or critical care specialist a practical tool to diagnose and manage fungal infections. In addition, the depth of the material in the text will provide these and other medical specialists and trainees an excellent reference and learning resource.
Diagnosis and Management of Pituitary Disorders
This text provides a detailed update on current diagnostic and therapeutic techniques useful in the management of a broad spectrum of pituitary disorders. The book focuses on each pituitary tumor subtype, and contains additional chapters related to other lesions of the sella, including tumor management during pregnancy and in the pediatric age group.
Diabetes mellitus and bacterial and fungal urinary tract infection
Diabetes mellitus is a heterogeneous group of disorders characterized by variable degrees of insulin resistance, impaired insulin secretion, and increased glucose production. Patients with type 2 diabetes mellitus are at increased risk of infections, with the urinary tract being the most frequent infection site. Various impairments in the immune system, in addition to poor metabolic control of diabetes, and incomplete bladder emptying due to autonomic neuropathy, may all contribute in the pathogenesis of urinary tract infections (UTI) in diabetic patients. Factors that were found to enhance the risk for UTI in diabetics include age, metabolic control, and long-term complications, primarily diabetic nephropathy and cystopathy. The spectrum of UTI in these patients ranges from asymptomatic bacteriuria (ASB) to lower UTI (cystitis), pyelonephritis, and severe urosepsis.
Diabetes Mellitus & Recent developments
Diabetes mellitus is a group of metabolic disease characterized by hyperglycemia resulting from defect in insulin secretion, insulin action, or both. Symptoms of marked hyperglycemia include polyuria, polydipsia, weight loss, sometimes with polyphagia, and blurred vision. Frequency of diabetic in the world About 1 in 11 adults worldwide now have diabetes mellitus, 90% of whom have type 2 diabetes mellitus (T2DM). Asia is a major area of the rapidly emerging T2DM global epidemic Classification Of Diabetic Mellitus. 1-Type 1 diabetes: which accounts for only5–10% of those with diabetes, results from a cellular-mediated autoimmune destruction of the cells of the pancreas. 2-Type 2 diabetes: which accounts for90 –95% of those with diabetes, result from insulin resistance. The chronic complications of diabetes mellitus affect many organ systems and are responsible for the majority of morbidity and mortality. Such as, retinopathy, diabetic foot, neuropathy, and nephropathy, sexual dysfunction, and skin changes.
Development and evaluation of setup strategies in printed circuit board assembly
The last decade has seen a rapid extension of electronic control devices for various types of technical products. In modern electronics manufacturing, highly automated assembly systems are used to mount the electronic components onto the printed circuit boards (PCBs). Maintaining high production flexibility in order to meet the desired product variety and, at the same time, achieving high utilization rates of the capital-intensive production equipment can only be achieved by applying highly sophisticated planning and control strategies for the operation of modern placement machines. Ihsan Onur Yilmaz develops a novel group setup strategy which integrates multiple problems of the PCB assembly, especially in a medium-variety production environment. At the core of his principle approach are the identification of similarities between different types of PCBs and the generation of PCB clusters upon which group setup strategies are based. The developed setup strategies are also innovative in the sense that they integrate the optimization of detailed machine operations. This integration has not been achieved in the classical approaches which primarily rely on statistical clustering techniques.
Detection and Disposal of Improvised Explosives
It including: Methods of detection of Improvised Explosives (IE). Methods of detection of Improvised explosives devices (IED). Disposal and safe handling of ID and IED. The treatment of detection methods may be divided in the following groups: Overview about the different methods; Trace- and vapor detection; Electromagnetic methods; Neutron methods; Laser techniques. Because of different definitions of Improvised Explosives the parti- pants of the workshop agreed after some discussions with the following definition: An Improvised Explosive (IE) can be any chemical compound or mixture capable of an explosive reaction. They are normally easily prepared by a knowledgeable layman under simple conditions. Components of IE are typically inorganic salts containing molecular bound oxygen like nitrates, chlorates or perchlorates etc. or organic compounds with nitro-, nitami- or nitrate-groups or peroxides. Admixtures of military or commercial explosive materials are also used. From the chemical point of view IE can be divided into the following types: Salts containing chemical groups with oxygen (like nitrates, chlorates or perchlorates etc.) in mixtures with combustible substances like carbon-hydrogen compounds.
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.
Designing healthy and liveable cities : Creating sustainable urban regeneration
Aim of this book is, after the definition of the field of investigation concerning sustainable regeneration trough topics such as resilience, adaptation, health and mixed connections, to illustrate the present-day approaches to the analysis and design of healthy places, and in particular the original Healthy Pl@ce Design method, flexible and repeatable in different contexts. The method aims at: identifying sustainable urban liveability and healthy and the factors which make places liveable and healthy from the user's point of view and identifying design interventions to enhance or create both urban liveability and health. Emblematic case studies carried out in Europe, USA and China - Bordeaux, Copenhagen, Hamburg, Madrid, Newcastle, Nice, Dublin, Vancouver and Wuhan - constitute the empirical part of the Book detailed with surveys, questionnaires, images and maps.
Design Technology in Contemporary Architectural Practice
Offers rare insights about how these firms apply technology to purposefully disrupt and support their creative design processes in order to then explore how technology can be integrated on an organisational level. The resulting practice stories are loosely tied to four chapters that discuss how Design Technology corresponds to studio culture, collaboration and delivery protocols, business opportunities, knowledge sharing, staff empowerment, and more. Focused on cultural and organisational challenges and opportunities. This book benefits both the professional market (such as design firms reflecting on their technology use), as well as the academic context (with its critical reflection on the interface between design process and technology support). Stories from the following design firms are included: Coop Himmelb(l)au ; Foster + Partners ; Bjarke Ingels Group (BIG) ; Zaha Hadid Architects ; Diller Scofidio + Renfo ; Heatherwick Studio ; Morphosis Architects ; SO-IL ; Woods Bagot ; Herzog & de Meuron ; LASSA
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."
Design build with the scarcity and creativity studio
Scarcity and Creativity Studio has developed a teaching method which reaffirms a commitment to architecture as a service to society, questions the idea of the individual creator in favour of collaborative design, and challenges the traditional master-student relationship. This book documents the projects and, in so doing, explains the practices and pedagogic methods which the studio has developed in relation to architecture education in general and design build education in particular. Aimed at students, teachers, and professionals who are exploring the possibilities of design build, the 16 built projects are fully documented in text, drawings, and photos and can be used as both inspiration and references. Projects are based in Norway, Finland, Chile, Ecuador (Galápagos), Kenya, South Africa, China, Argentina, and Lebanon.
Design and Analysis of Simulation Experiments
This is an advanced expository book on statistical methods for the Design and Analysis of Simulation Experiments (DASE). Though the book focuses on DASE for discrete-event simulation (such as queuing and inventory simulations), it also discusses DASE for deterministic simulation (such as engineering and physics simulations). The text presents both classic and modern statistical designs. Classic designs (e.g., fractional factorials) assume only a few factors with a few values per factor. The resulting input/output data of the simulation experiment are analyzed through low-order polynomials, which are linear regression (meta)models. Modern designs allow many more factors, possible with many values per factor. These designs include group screening (e.g., Sequential Bifurcation, SB) and space filling designs (e.g., Latin Hypercube Sampling, LHS). The data resulting from these modern designs may be analyzed through low-order polynomials for group screening and various metamodel types (e.g., Kriging) for LHS.
Dependable computing - EDCC 2005 ; 5th European dependable computing Conference, Budapest, Hungary, April 20-22, 2005, Proceedings
It is always a special honor to chair the European Dependable Computing C- ference (EDCC). EDCC has become one of the well-established conferences in the ?eld of dependability in the European research area. Budapest was selected as the host of this conference due to its traditions in organizing international scienti?c events and its traditional role of serving as a meeting point between East and West. EDCC-5 was the ?fth in the series of these high-quality scienti?c conf- ences. In addition to the overall signi?cance of such a pan-European event, this year’s conference was a special one due to historic reasons. The roots of EDCC date back to the moment when the Iron Curtain fell. Originally, two groups of scientists from di?erent European countries in Western and Eastern Europe – who were active in research and education related to dependability created a – joint forum in order to merge their communities as early as in 1989. This trend has continued up to today. This year’s conference was the ?rst one where the overwhelming majority of the research groups belong to the family of European nations united in the European Union. During the past 16 years we observed that the same roots in all the professional, cultural and scienti?c senses led to a seamless integration of these research communities previously separated ar- ?cially for a long time. EDCC has become one of the main European platforms to exchange new - searchideasinthe?eldofdependability.
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 Support for Forest Management
While earlier books concerning forest planning have tended to focus on linear programming, economic aspects, or specific multi-criteria decision aid tools, this book provides a much broader range of tools to meet a variety of planning situations. The methods themselves cover a range of decision situations – from cases involving single decision makers, through group decision making, to participatory planning. They include traditional decision support tools, from optimization to utility functions, as well as methods that are just gaining ground in forest planning – such as problem structuring methods and social choice theory. Including examples which illustrate the application of each technique to specific management planning problems, the book offers an invaluable resource for both researchers and advanced students specializing in management and planning issues relating to forestry.
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery : Manufacturing, Operation and Reutilization
This book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed.
Data parallel C++ : Mastering DPC++ for programming of heterogeneous systems using C++ and SYCL
This book teaches data-parallel programming using C++ and the SYCL standard from the Khronos Group and walks through everything needed to use SYCL for programming heterogeneous systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL and Data Parallel C++ (DPC++), the open source compiler used in this book.
Data Monitoring in Clinical Trials : A Case Studies Approach
Randomized clinical trials are the gold standard for establishing many clinical practice guidelines and are central to evidence based medicine. Obtaining the best evidence through clinical trials must be done within the boundaries of rigorous science and ethical principles. One fundamental principle is that trials should not continue longer than necessary to reach their objectives. Therefore, trials must be monitored for recruitment progress, quality of data, adherence to patient care or prevention standards, and early evidence of benefit or harm. Frequently, a group of external experts, independent from the investigators and trial sponsor, is charged with this monitoring responsibility, especially for safety and early benefit. This group is referred to by various names, such as a data monitoring committee or a data and safety monitoring board. This book, through a series of case studies presented by many distinguished clinical trial experts, illustrates the complexity of this monitoring process.No other text has as extensive a collection of cases which provide insight into the many issues, often conflicting, that must be examined before recommendations to continue or discontinue a trial can be made. While depth in statistical methods is not required, some familiarity with statistical design and analysis issues in clinical trials is helpful. The cases cover trials which were terminated early for convincing evidence of benefit, or for harmful effects. Cases with complex issues are also included. This series of cases should provide broad background information for potential monitoring committee members and better prepare them for the challenges that may exist in the trials for which they are responsible.
Data Integration in the Life Sciences ; Vol. 4075 ; 3rd International Workshop, DILS 2006, Hinxton, UK, July 20-22, 2006, Proceedings
Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications producedby di?erent experimentalmethods, in di?erent researchgroups,andat di?erent levels of granularity.
