الصفحة 203
الصفحة 203
Adult stem cells : Methods and protocols
Expands on the previous edition with updated chapters covering a broader range of tissues and techniques pertaining to stem cell technologies. The chapters also cover topics such as the generation of iPSC-derived cells unique to the individual human genome addressing the possibility of more personalized clinical applications to an individual with a specific degenerative disease; and the use of nanoparticles such as 3D scaffolds and biomaterials as a means of improving stem cell viability after transplantation in the host tissue. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Adult Orthodontics
An authoritative resource on the subject of adult orthodontics, marrying together clinical guidance with a thorough evaluation of the evidence base. Sample topics discussed within the book include: Context for adult orthodontics, including patient demographics and aetiologyTreatment planning considerations, including patient case profiles, initial outcomes and longer-term expectationsInterdisciplinary and multidisciplinary approaches, including the links between adult orthodontics and periodontics, prosthetics, and temporomandibular disorders
Adsorption and Diffusion
Molecular Sieves - Science and Technology covers, in a comprehensive manner, the science and technology of zeolites and all related microporous and mesoporous materials. Authored by renowned experts, the contributions to this handbook-like series are grouped together topically in such a way that each volume deals with a specific sub-field. Volume 7 is treating fundamentals and analyses of adsorption and diffusion in zeolites including single-file diffusion, i.e. phenomena of basic importance, especially with respect to separation processes and catalysis. Various methods of measuring adsorption and diffusion are described and discussed, i.e. techniques such as chromatographic, gravimetric and barometric uptake and desorption, nuclear magnetic resonance, infrared spectroscopy, interference microscopy, neutron scattering, frequency response as well as proton profiling.
Adrenal Glands : Diagnostic Aspects and Surgical Therapy
Surgery of the Adrenal Glands is a comprehensive medical textbook that includes everything that a surgeon, but for all purposes any physicain or medical student, may want to find on adrenal surgery in a friendly, up to date, evidence based manner. 30 of the most renowned names in the field of adrenal surgery from the US and Europe draw on their experience in exploring diagnosis, indications for surgery, choice of operation and operative techniques, and surgical outcomes for every major adrenal condition. Over 200 exquisite illustrations, ranging from intraoperative photographs, line drawings, diagnostic images, pathology slides, tables and graphs are available to make each case discussed comprehensible and easy to follow. Traditional and novel therapeutic recommendations are introduced and the latest developments in minimal-access operative techniques are discussed and reviewed. Finally, the best approaches in dealing with challenging conditions such as adrenal incidentaloma, subclinical Cushing's syndrom, Congenital Adrenal Hyperplasia, Mineralcorticoid Express Syndrome, Extraadrenal and Malignant Pheochromocytoma are discussed.
Adolescents and risk : Behaviors, functions and protective factors
The book describes the different risk behaviors, shows the linkages among them, explains the functions served by the various risk behaviors or the meanings they may have for the adolescent, examines how they vary with age, sex, and other demographic characteristics, demonstrates the influential role that the theoretical risk factors and protective factors play in adolescent risk behavior involvement. The research findings not only strengthen the theory, but they serve as an important guide to the design of intervention efforts to prevent or reduce adolescent involvement in risk behavior.
Adobe Photoshop Lightroom Classic For Dummies
Learn to make your digital photos *pop* with easy-to-follow help using AI-powered software from Adobe. With no prior photography or editing experience necessary, Adobe Photoshop Lightroom Classic For Dummies delivers a must-have walkthrough for taking your photos to the next level using Adobe’s powerful consumer software. You’ll learn the fundamentals of opening your pictures, managing your photo library, and fixing common problems—like redeye and poor lighting—before jumping into more advanced topics, like creating slideshows and troubleshooting problems.
Adobe Illustrator Classroom in a Book
Adobe Illustrator Classroom in a Book (2023 release) uses real-world, project-based learning to cover the basics and beyond, providing countless tips and techniques to help you become more productive with the program. For beginners and experienced users alike, you can follow the book from start to finish or choose only those lessons that interest you. Learn to create artwork, from precise drawings to stylistic paintings. Make logos, illustrations, posters, podcast covers, flyers, and more. Explore selections, shapes, and color, progress to freeform gradients and layers. Work with dynamic symbols, artistic brushes, and creative effects.
Administrative law
Each book in this popular series offers a winning combination of text, examples, and explanations as it guides students to a more thorough understanding of the subject at hand for paralegal programs.
Ad-Hoc Networking Towards Seamless Communications
Ad-Hoc Networking Towards Seamless Communications is dedicated to an area that attracts growing interest in academia and industry and concentrates on wireless ad hoc networking paradigm. The persistent efforts to acquire the ability to establish dynamic wireless connections from anywhere to anyone with any device without prerequisite imbedded infrastructure move the communications boundaries towards ad-hoc networks. Recently, ad hoc networking has attracted growing interest due to advances in wireless communications, and developed framework for running IP based protocols. The expected degree of penetration of these networks will depend on the successful resolution of the key features.
Addressing Global Challenges and Quality Education ; 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Heidelberg, Germany, September 14–18, 2020, Proceedings
The chapters: “Designing an Online Self-Assessment for Informed Study Decisions: The User Perspective”; “Living with Learning Difficulties: Two Case Studies Exploring the Relationship Between Emotion and Performance in Students With Learning Difficulties”; “Applying Instructional Design Principles on Augmented Reality Cards for Computer Science Education”; and “Teaching Simulation Literacy With Evacuations - Concept, Technology, and Material for a Novel Approach” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Adaptogens : Herbs for strength, stamina, and stress relief
Includes a Materia Medica with monographs covering 25 adaptogens, including eleuthero, ginseng, rhodiola, schisandra, ashwagandha, licorice, shatavari, reishi, and holy basil, as well as complementary nervines, restorative tonics, and nootropics Explains how adaptogens increase the body's resistance to adverse influences, increase energy and stamina, and counter the effects of age and stress on the body Details the actions, properties, preparation, and dosage for each herb and their uses in Ayurveda and Chinese medicine and as remedies for animals Every day our bodies strive to adapt and stay balanced, energized, and healthy, yet chronic stress and the resulting elevation of stress hormones such as cortisol have been shown to be major factors behind not only fatigue and weight gain but also many chronic and degenerative diseases
Adaptive-robust control with limited knowledge on systems dynamics : An artificial input delay approach and beyond
investigates the role of artificial input delay in approximating unknown system dynamics, referred to as time-delayed control (TDC), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control (ARC) for a class of Euler–Lagrange (EL) systems with minimal or no knowledge of the system dynamics parameters. The newly proposed TDC-based ARC tackles the commonly observed over- and under-estimation issues in switching gain. The consideration of EL systems lends a practical perspective on the proposed methods, and each chapter is supplemented by relevant experimental data
Adaptive Techniques for Dynamic Processor Optimization : Theory and Practice
This book discusses the different approaches and responses to adaptive techniques used for processor power, frequency and functionality optimization. Adaptive Techniques for Dynamic Processor Optimization: Theory and Practice includes chapter contributions that explore promising approaches and present the supporting data.
Adaptive Nonlinear System Identification : The Volterra and Wiener Model Approaches
Adaptive Nonlinear System Identification: The Volterra and Wiener Model Approaches introduces engineers and researchers to the field of nonlinear adaptive system identification. The book includes recent research results in the area of adaptive nonlinear system identification and presents simple, concise, easy-to-understand methods for identifying nonlinear systems. These methods use adaptive filter algorithms that are well known for linear systems identification. They are applicable for nonlinear systems that can be efficiently modeled by polynomials.After a brief introduction to nonlinear systems and to adaptive system identification, the author presents the discrete Volterra model approach. This is followed by an explanation of the Wiener model approach. Adaptive algorithms using both models are developed. The performance of the two methods are then compared to determine which model performs better for system identification applications.
Adaptive Motion of Animals and Machines
Apparently, the ability of animals and robots to adapt in a real world cannot be explained or realized by one single function in a control system and mechanism. That is, adaptation in motion is induced at every level from the central nervous system to the musculoskeletal system.Thus,weorganized the International Symposium on Adaptive Motion in Animals and Machines (AMAM) forscientist sandengineersconcerned with adaptation on various level stobebrought together todiscussprinciplesateachleveland to investigate principles governing total systems.
Adaptive Mesh Refinement - Theory and Applications; Proceedings of the Chicago Workshop on Adaptive Mesh Refinement Methods, Sept. 3-5, 2003
Advanced numerical simulations that use adaptive mesh refinement (AMR) methods have now become routine in engineering and science. Originally developed for computational fluid dynamics applications these methods have propagated to fields as diverse as astrophysics, climate modeling, combustion, biophysics and many others. The underlying physical models and equations used in these disciplines are rather different, yet algorithmic and implementation issues facing practitioners are often remarkably similar. Unfortunately, there has been little effort to review the advances and outstanding issues of adaptive mesh refinement methods across such a variety of fields. This book attempts to bridge this gap. The book presents a collection of papers by experts in the field of AMR who analyze past advances in the field and evaluate the current state of adaptive mesh refinement methods in scientific computing.
Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learing Problems on Edge Devices
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. You will: Apply adaptive algorithms to practical applications and examples / Understand the relevant data representation features and computational models for time-varying multi-dimensional data / Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data / Speed up your algorithms and put them to use on real-world stationary and non-stationary data / Master the applications of adaptive algorithms on critical edge device computation applications
Adaptive Low-Power Circuits for Wireless Communications
Adaptive radio transceivers require a comprehensive theoretical framework in order to optimize their performance. Adaptive Low-Power Circuits for Wireless Communications provides this framework with a discussion of joint optimization of Noise Figure and Input Intercept Point in receiver systems. Original techniques to optimize voltage controlled oscillators and low-noise amplifiers to minimize their power consumption while maintaining adequate system performance are also provided. The experimental results presented at the end of the book confirm the utility of the proposed techniques.
Adaptive Learning of Polynomial Networks : Genetic Programming, Backpropagation and Bayesian Methods
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. It offers a methodology for inductive learning of polynomial neural network mod els from data. The design of such tools contributes to better statistical data modelling when addressing tasks from various areas like system identification, chaotic time-series prediction, financial forecasting and data mining. The main claim is that the model identification process involves several equally important steps: finding the model structure, estimating the model weight parameters, and tuning these weights with respect to the adopted assumptions about the underlying data distrib ution. When the learning process is organized according to these steps, performed together one after the other or separately, one may expect to discover models that generalize well.
Adaptive Information Systems and Modelling in Economics and Management Science
Learning and adaption are key features of "real economies". Studying interesting real phenomena like innovation, industry evolution or the role of expectation formulation in financial markets thus necessitates novel methods of data analysis and modelling. This title covers statistical models of heterogeneity, artificial consumer markets, models of adaptive expectation formulation in financial markets and agent-based models of industry evolution, product diversification and energy markets. The joint findings are presented in a manner that is interesting both for readers with a background in economics/management and mathematics and statistics and also for non-expert readers because it allows them to grasp the ideas of modern management science. This book thus provides a unique integrated toolbox for building realistic agent-based models of learning and adaption in a variety of settings based on sound data analysis.
