الصفحة 2
الصفحة 2
Nature by Design : The Practice of Biophilic Design
Describes the basic principles, practices, and options for successfully implementing biophilic design. He shows us what is—and isn’t—good biophilic design using examples of workplaces, healthcare facilities, schools, commercial centers, religious structures, and hospitality settings. This book will to appeal to architects, designers, engineers, scholars of human evolutionary biology, and—with more than one hundred striking images of designs—anyone interested in nature‑inspired spaces.
Natural Oral Care in Dental Therapy
Because of increasing antibiotic resistance, stronger antibiotics are reserved for serious active infection, paving the way for a greater use of herbal antibiotics. This book helps dentists in implementing safe and effective natural medicine therapies to complement the current practice guidelines. Oral diseases continue to be a major health problem world-wide. Oral health is integral to general well-being and relates to the quality-of-life that extends beyond the functions of the craniofacial complex. The standard Western medicine has had only limited success in the prevention of periodontal disease and in the treatment of a variety of oral diseases.
Nanoparticle-Based Drug Delivery in Cancer Treatment
Discusses nanotechnological developments of interfering RNA-based nanoparticles, delivery vehicles, and validated therapeutic RNAi–molecular target interactions and explains the results of clinical and preclinical trials. The book also gives strategies for universal methods of constructing hybrid organic–inorganic nanomaterials that can be widely applied in the biomedical field. Focuses on : Recent advances of nanoparticle-mediated siRNA delivery systems and their application in clinical trials for cancer therapy Material platforms that establish NPs and both localized and controlled gene silencing The most promising systems for clinical application Surveys progress in nanoparticle-based nanomedicine in cancer treatment The most advanced of the nonviral nanocarriers for delivery of oligonucleotides to malignant blood cancer cells
Multivariate Statistical Machine Learning Methods for Genomic Prediction
This book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments.
Multivariate Public Key Cryptosystems
Multivariate public key cryptosystems (MPKC) is a fast-developing new area in cryptography. In the past 10 years, MPKC schemes have increasingly been seen as a possible alternative to number theoretic-based cryptosystems such as RSA, as they are generally more efficient in terms of computational effort. As quantum computers are developed, MPKC will become a necessary alternative. Multivariate Public Key Cryptosystems systematically presents the subject matter for a broad audience. Information security experts in industry can use the book as a guide for understanding what is needed to implement these cryptosystems for practical applications, and researchers in both computer science and mathematics will find this book a good starting point for exploring this new field. It is also suitable as a textbook for advanced-level students.
Multiple Testing Procedures and Applications to Genomics
This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments.
Multiparadigm Programming in Mozart/Oz ; 2nd International Conference, MOZ 2004, Charleroi, Belgium, October 7-8, 2004, Revised Selected Papers
Oz's concurrency model yields simplicity and clarity (because Oz makes it easier to express complex programs with many interacting components), g- erality, and better interfaces (because the data?ow model automatically makes interfaces more lightweight). Constraint programming in Oz again yields simplicity and clarity (because theprogrammercanexpresswhatneedstobetrueratherthanthemorecomplex issue of how to make it true), and o?ers a powerful mathematical notation that is di?cult to implement on top of languages that do not support it natively. Mozart's distributed computing model makes for improved interfaces and eases the evolution of systems. In my own work, one of the most important concernsistobeabletoquicklyscaleupaprototypeimplementationintoalar- scale service that can run reliably on thousands of computers, serving millions of users.
Multi-objective Management in Freight Logistics : Increasing Capacity, Service Level and Safety with Optimization Algorithms
Multi-objective Management in Freight Logistics provides decision makers with new methods and tools to implement multi-objective optimization models in logistics. The book combines theoretical aspects with applications, showing the advantages and the drawbacks of adopting scalarization techniques, and when it is worthwhile to reduce the problem to a goal programming one. The book also shows applications where more than one decision maker evaluates the effectiveness of the logistic system and thus a multilevel programming approach is sought to attain meaningful solutions.
Multiobjective Evolutionary Algorithms and Applications
Multiobjective Evolutionary Algorithms and Applications provides comprehensive treatment on the design of multiobjective evolutionary algorithms and their applications in domains covering areas such as control and scheduling. Emphasizing both the theoretical developments and the practical implementation of multiobjective evolutionary algorithms, a profound mathematical knowledge is not required. Written for a wide readership, engineers, researchers, senior undergraduates and graduate students interested in the field of evolutionary algorithms and multiobjective optimization with some basic knowledge of evolutionary computation will find this book a useful addition to their book case.
Multifunctional Land Use : Meeting Future Demands for Landscape Goods and Services
The book contributes to the scientific basis for future land development strategies and helps supporting land use decision making on the political, planning and management level. In this publication they (i) analyse general principles of land use multifunctionality, (ii) highlight the specific requirements and approaches of implementing multifunctional land use from different disciplinary viewpoints, (iii) report on success stories of multifunctional land use from different geographic and political settings, and (iv) discuss modelling and monitoring approaches to scientifically assess the impact of mutlifunctional land use implementation.
Multi-Agent Systems and Applications IV ; 4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005, Budapest, Hungary, September 15-17, 2005, Proceedings
In the very competitive field of agent oriented conferences and workshops nowadays (such as AAMAS, WI/IAT, EUMAS, CIA, MATES) the special profile of CEEMAS is that it is trying to bridge the gap between applied research achievements and theoretical research activities. Our ambition is to provide a forum for presenting theoretical research with an evident application potential, implemented application prototypes and their properties, as well as industrial case studies of successful (but also unsuccessful) agent technology deployments. This is why the CEEMAS proceedings volume provides a collection of research and application papers. The technical research paper section of the proceedings (see pages 11–499) contains pure research papers as well as research results in application settings while the application papers section (see pages 500–530) contains papers focused on application aspects. The goal is to demonstrate the real life value and commercial reality of multi-agent systems as well as to foster communication between academia and industry in this field.
Mule 2 : A Developers Guide
Mule 2: A Developer's Guide introduces the Mule 2.0 integration platform for developers of enterprise integration applications who wish to leverage Mule as a lightweight messaging framework that contains a distributable object broker for managing communication between applications. The book is based on insight, knowledge, and experience resulting from working with Mule. The text provides support, consulting, and training to developers implementing Mule in a broad range of scenarios ranging from small projects through to large corporations developing major deployments.
Monitoring State Compliance with the UN Convention on the Rights of the Child : An Analysis of Attributes
This book presents a discussion on human rights-based attributes for each article pertinent to the substantive rights of children, as defined in the United Nations Convention on the Rights of the Child (UNCRC). It provides the reader with a unique and clear overview of the scope and core content of the articles, together with an analysis of the latest jurisprudence of the UN Committee on the Rights of the Child. For each article of the UNCRC, the authors explore the nature and scope of corresponding State obligations, and identify the main features that need to be taken into consideration when assessing a State’s progressive implementation of the UNCRC. This analysis considers which aspects of a given right are most important to track, in order to monitor States' implementation of any given right, and whether there is any resultant change in the lives of children.
Monetary Policy and Macroeconomic Stabilization in Latin America
Latin America is a very important region of the globe, which has been buffeted by successive waves of economic instability within the last decades. These waves have caused several episodes of hyperinflation or near hyperinflation, and several currency and financial crises, which, in certain moments, have even spilled over and affected other emerging markets. This has resulted in huge costs in terms of lost potential growth, and, as is inevitable, the markets most affected by this have been the least capable of defending themselves. In a region plagued by still considerable rates of social exclusion, with some of the highest rates of income concentration in the whole globe, the human costs of these crises have been very substantial. Starting in the early 1990s, the slow implementation of reforms, plus the resumption of more sustained growth—to a substantial degree linked to the increase in commodity prices, especially since the early 2000s—seems to have resulted in a more stable situation. Initially, in early reformers like Chile, later in the larger economies of the region, like Brazil and Mexico, a consensus— embraced by both sides of the political spectrum—towards integration in global markets, both in their trade and financial components, floating exchange rates, independent monetary authorities, and sustainable fiscal policies has emerged.
Modern Genome Annotation : The Biosapiens Network
An accurate description of current scientific developments in the field of bioinformatics and computational implementation is presented by research of the BioSapiens Network of Excellence. Bioinformatics is essential for annotating the structure and function of genes, proteins and the analysis of complete genomes and to molecular biology and biochemistry. Included is an overview of bioinformatics, the full spectrum of genome annotation approaches including; genome analysis and gene prediction, gene regulation analysis and expression, genome variation and QTL analysis, large scale protein annotation of function and structure, annotation and prediction of protein interactions, and the organization and annotation of molecular networks and biochemical pathways. Also covered is a technical framework to organize and represent genome data using the DAS technology and work in the annotation of two large genomic sets: HIV/HCV viral genomes and splicing alternatives potentially encoded in 1% of the human genome.
Modern Ferrite Technology
odern Ferrite Technology ; 2nd ed. offers the readers an expert overview of the latest ferrite advances as well as their applications in electronic components. This volume develops the interplay among material properties, component specification and device requirements using ferrites. Throughout, emphasis is placed on practical technological concerns as opposed to mathematical and physical aspects of the subject. The book traces the origin of the magnetic effect in ferrites from the level of the simplest particle and then increases the scope to include larger hierarchies. From the desired magnetic properties, the author deduces the physical and chemical material parameters, taking into consideration major chemistry, impurity levels, ceramic microstructures and grain boundary effects. He then discusses the processing conditions and associated conditions required for implementation. In addition to conventional ceramic techniques, he describes non-conventional methods such as co-precipitation, co-spray roasting and single crystal growth.
Modern Developments in X-Ray and Neutron Optics
This volume describes modern developments in reflective, refractive and diffractive optics for short wavelength radiation as well as recent theoretical approaches to modelling and ray-tracing the X-ray and neutron optical systems. It is based on the joint research activities of specialists in X-ray and neutron optics from 11 countries, working together under the framework of the European Programme for Cooperation in Science and Technology (COST, Action P7) in the period 2002--2006. The chapters are written by leading specialists from European laboratories, universities and large facilities. In addition to new ideas and concepts, the contents provide a large amount of practical information about recently implemented devices and methods.
Modern deep learning for tabular data : Novel approaches to common modeling problems
Synthesizes and presents novel deep learning approaches to a seemingly unlikely domain - tabular data. Whether for finance, business, security, medicine, or countless other domain, deep learning can help mine and model complex patterns in tabular data - an incredibly ubiquitous form of structured data. Part I of the book offers a rigorous overview of machine learning principles, algorithms, and implementation skills relevant to holistically modeling and manipulating tabular data. Part II studies five dominant deep learning model designs - Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Attention and Transformers, and Tree-Rooted Networks - through both their 'default' usage and their application to tabular data. Part III compounds the power of the previously covered methods by surveying strategies and techniques to supercharge deep learning systems: autoencoders, deep data generation, meta-optimization, multi-model arrangement, and neural network interpretability.
Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. You will: Improve the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization. Compress deep learning models while maintaining performance. Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.
Modern aspects of pharmaceutical quality assurance : developing and proposing application models, SOPs, practical audit systems for pharma industry
Aims to develop a tool that will substantially decrease the number of Inspectional Observations and Warning letters, thus eliminating Import Alerts and Consent Decree. This book targets the Pharmaceutical Industry and students of Pharmaceutical Quality Assurance so they can get in hand-ready consolidated information on Pharmaceutical Quality guidelines, Quality metrics, and implementation of simplified SOP guidelines, plant layouts to implement Quality metrics for Pharmaceutical Manufacturing systems in tablets, capsules, liquid orals, and semi-solid dosage forms.
