الصفحة 1
الصفحة 1
N-Heterocyclic Carbenes in Transition Metal Catalysis
It was only in the early 1990s that carbenes with the carbene carbon being incorporated in a nitrogen containing heterocycle (N-heterocyclic carbenes or NHCs) were found to be stable enough to be isolated. Since the first report on the application of NHCs as ligands in transition metal catalysis in 1995, NHC have found numerous applications and have been established as a versatile and indispensable class of ligands. For many reactions like metathesis or cross-coupling reactions NHCs have often become the ligands of choice, allowing otherwise difficult transformations. In this book leading experts have surveyed major areas of application of NHC metal complexes in catalysis. The authors have placed a special focus on nickel- and palladium-catalyzed reactions, on applications in metathesis reactions, on oxidation reactions and on the use of chiral NHC-based catalysts. This compilation is rounded out by an introductory chapter and a chapter dealing with synthetic routes to NHC metal complexes.
Neuroscribe = نيوروسكرايب
Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.
Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems
This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.
Natures Versatile Engine : Insect Flight Muscle Inside and Out
Integrates knowledge from various disciplines that study muscle function, from single molecule biophysics to flight aerodynamics. This work features information on advances in muscle research, from the molecular to the organismal. It focuses on Drosophila melanogaster, and other species of flying insects are also covered.
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.
Microbial Sulfur Metabolism
In nature, sulfur occurs in many different oxidation states and is one of the most versatile elements in life. It is an integral part of many important cell constituents, such as the amino acids cysteine and methionine, and many sulfur compounds serve as the basis for energy-related processes in prokaryotes. In recent years, new methods have been applied to study the biochemistry and molecular biology of reactions of the global sulfur cycle, the microorganisms involved and their physiology, metabolism and ecology. These activities have uncovered fascinating new insights for the understanding of aerobic and anaerobic sulfur metabolism.
Intraoperative Neurophysiological Monitoring
Intraoperative neurophysiological monitoring (IOM) has proven itself a versatile technique that reduces the risks of acquiring intraoperative neurological deficits, shortens operating time, and lowers the costs of medical care and rehabilitation. It can also reduce the risks of medical malpractice suits and serve as a research tool to better understand nervous system disorders and promote improved treatments.
Hydroboration and Organic Synthesis : 9-Borabicyclo [3.3.1] nonane (9-BBN)
Borabicyclo [3.3.1]nonane, a commercially available reagent, is the most versatile hydroborating reagent to synthesize organoboranes (B-R-9-BBN). The reagent exhibits remarkable regio-, chemo-, and stereoselectivity during hydroboration reactions. The organoboranes can be converted to C-H, C-O, C-N, C-S, C-halogen, C-metal and above all C-C bonds. In addition, the suitable substituted / unsaturated R of B-R-9-BBN can be utilized to produce dienes, enynes, allenes etc. with defined stereochemistry. 9-BBN’s derivatives have been elegantly used for the asymmetric reduction of ketone moiety. Diels-Alder and Suzuki reactions have expanded the utility of 9-BBN for the synthesis of a variety of organic compounds required for industry. Consequently, this vast field in the form of a book will be helpful to synthetic organic chemists for easy access to literature, required for chemical transformations.
High value fermentation products ; Vol.1 : Human health
This book describes relevant aspects of industrial-scale fermentation, an expanding area of activity, which already generates commercial values of over one third of a trillion US dollars annually, and which will most likely radically change the way we produce chemicals in the long-term future. From biofuels and bulk amino acids to monoclonal antibodies and stem cells, they all rely on mass suspension cultivation of cells in stirred bioreactors, which is the most widely used and versatile way to produce.
Handbook on Optimal Growth 1 : Discrete Time
The Handbook on Optimal Growth provides surveys of significant results of the theory of optimal growth, as well as the techniques of dynamic optimization theory on which they are based. Armed with the results and methods of this theory, a researcher will be in an advantageous position to apply these versatile methods of analysis to new issues in the area of dynamic economics.
Glass in Building : Principles, Applications, Examples
Offers a clear, compact, and illustrated overview of the material-appropriate use of this varied and versatile material in building construction and provides information that goes far beyond the basics on designing with glass and producing and using specialized glass products, as well as on the building and planning regulations that must be taken into account when constructing with glass. A selection of exemplary realized projects rounds out the theoretical section.
Foundation Flex for Developers : Data-Driven Applications with PHP, ASP.NET, ColdFusion, and LCDS
Flex is a very powerful and versatile technology for creating web application front-ends. But what every good web application needs is a robust data source, be it XML, or a database. Flex is very adaptable in terms of connecting to data sources, and that is the main focus of this book. In Foundation Flex for Developers, author Sas Jacobs assumes that you've got the basics of Flex down already, and explores in detail how to create professional data-centric Flex 2 and Flex 3 applications. In the first half of the book, she starts off with a brief exploration of Flex and ActionScript 3.0, before looking at application essentials in detail—creating custom components, user and web browser interactions, binding, formatting, and validating data, debugging, and more. In the second half of the book, the focus is on connecting Flex to data sources, and covers XML, LiveCycle Data Services, PHP, ASP.NET, and ColdFusion in detail, via a series of step-by-step case studies.
Foundation 3ds Max 8 Architectural Visualization
Welcome to the world of 3D architectural visualizations using the most powerful and versatile 3D software package on the planet: 3ds Max. In just the last few years, the visualization industry has arguably become the fastest-growing 3D industry, and may soon overtake all others in total number of users. Just as the use of computer-aided design became the norm for nearly all architectural, engineering, and construction firms in the 1990s, 3D visualizations have become standard practice today. This book takes you through the challenge of learning one of the most complex computer programs ever created, by way of easy-to-follow tutorials and instruction. It specifically focuses on those parts of the program you need to know to produce stunning architectural visualizations.
Ferrous Materials : Steel and Cast Iron
This book closes the gap in the treatment of steel and cast iron. Each chapter takes into account the gradual transitions between the two types of ferrous materials. The authors demonstrate that steel and cast iron are versatile and customisable materials which will continue to play a key role in the future.
Ethylene Action in Plants
The plant hormone ethylene plays a prominent role among several intrinsic and extrinsic factors that control growth and physiology of plants. Its biological activity was discovered over a century ago. However, extensive studies on its mode of action came later. To date, it is well documented that ethylene is a versatile signaling molecule that plays an important role in many physiological processes - like growth, senescence, fruit ripening, stress responses, symbioses, and photosynthesis. Molecular-genetic analyses have revealed mechanisms responsible for ethylene production, perception, and signal transduction. The present work brings into focus the recent developments on the biochemical, physiological, and molecular basis for ethylene action in plants.
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics ; International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings
Stochastic local search (SLS) algorithms enjoy great popularity as powerful and versatile tools for tackling computationally hard decision and optimization pr- lems from many areas of computer science, operations research, and engineering. However, in recent years it has become evident that at the core of this development task there is a highly complex engineering process, which combines various aspects of algorithm design with empirical analysis techniques and problem-specific background, and which relies heavily on knowledge from a number of disciplines and areas, including computer science, operations research, artificial intelligence, and statistics. This development process needs to be - sisted by a sound methodology that addresses the issues arising in the various phases of algorithm design, implementation, tuning, and experimental eval- tion.
Endurance time excitation functions : Intensifying dynamic loads for seismic analysis and design
Seismic assessment and earthquake-resistant design are essential applications of earthquake engineering for achieving seismic safety for buildings, bridges, infrastructure, and many other components of the built environment. The Endurance Time Method (ETM) is used for seismic analysis of simple and complex structural systems and civil engineering infrastructure as well as producing optimal and cost-effective structural and detail designs. ETM is a relatively new approach to seismic assessment and design of structures. It has developed into a versatile tool in the field, and its practical applications are expected to increase greatly in the near future.
Electrostatic Accelerators : Fundamentals and Applications
Electrostatic accelerators are an important and widespread subgroup within the broad spectrum of modern, large particle acceleration devices. They are specifically designed for applications that require high-quality ion beams in terms of energy stability and emittance at comparatively low energies (a few MeV). Their ability to accelerate virtually any kind of ion over a continuously tunable range of energies make them a highly versatile tool for investigations in many research fields including, but not limited to, atomic and nuclear spectroscopy, heavy ion reactions, accelerator mass spectroscopy as well as ion-beam analysis and modification. The book is divided into three parts. The first part concisely introduces the field of accelerator technology and techniques that emphasize their major modern applications. The second part treats the electrostatic accelerator per se: its construction and operational principles as well as its maintenance. The third part covers all relevant applications in which electrostatic accelerators are the preferred tool for accelerator-based investigations. Since some topics are common to all types of accelerators, Electrostatic Accelerators will also be of value those more familiar with other types of accelerators.
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.
Conditionals, Information, and Inference
Conditionals are fascinating and versatile objects of knowledge representation. On the one hand, they may express rules in a very general sense, representing, for example, plausible relationships, physical laws, and social norms. On the other hand, as default rules or general implications, they constitute a basic tool for reasoning, even in the presence of uncertainty. In this sense, conditionals are intimately connected both to information and inference. Due to their non-Boolean nature, however, conditionals are not easily dealt with. They are not simply true or false — rather, a conditional “if A then B” provides a context, A, for B to be plausible (or true) and must not be confused with “A entails B” or with the material implication “not A or B.” This ill- trates how conditionals represent information, understood in its strict sense as reduction of uncertainty. To learn that, in the context A, the proposition B is plausible, may reduce uncertainty about B and hence is information. The ab- ity to predict such conditioned propositions is knowledge and as such (earlier) acquired information. The ?rst work on conditional objects dates back to Boole in the 19th c- tury, and the interest in conditionals was revived in the second half of the 20th century, when the emerging Arti?cial Intelligence made claims for appropriate formaltoolstohandle“generalizedrules.”Sincethen,conditionalshavebeenthe topic of countless publications, each emphasizing their relevance for knowledge representation, plausible reasoning, nonmonotonic inference, and belief revision.
