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Ondansetron Patches
The objective of this study was to develop the matrix of transdermal drug delivery system (TDDS) of ondansetron hydrochloride (ODH), in which ondansetron is the first serotonin subtype 3 receptor antagonist indicated for the treatment and/or prophylaxis of postoperative, chemotherapy or radiotherapy induced emesis. It has been proven efficient and safe to treat such symptoms, by using in vitro drug release study and evaluate the effect of eucalyptus oil and different percentage of carbopol 940. The result of drug release decreased by increasing the percentage of carbopol 940 which achieved the purpose of the study by prolonging the release of the ondansetron . The patch provides a means to reduce the side effects associated with its oral therapy, avoidence of the first-pass metabolism and minimize inconsistency in absorption across GIT. Various types of transdermal patches are used to incorporate the active ingredients into the circulatory system via skin.
omputational science and its applications - ICCSA 2005 ; Vol. 3480 ; International Conference, Singapore, May 9-12, 2005, Proceedings, Part I
The four volume set assembled following The 2005 International Conference on Computational Science and its Applications, ICCSA 2005, held in Suntec International Convention and Exhibition Centre, Singapore, from 9 May 2005 till 12 May 2005, represents the ?ne collection of 540 refereed papers selected from nearly 2,700 submissions. Computational Science has ?rmly established itself as a vital part of many scienti?c investigations, a?ecting researchers and practitioners in areas ranging from applications such as aerospace and automotive, to emerging technologies such as bioinformatics and nanotechnologies, to core disciplines such as ma- ematics, physics, and chemistry. Due to the shear size of many challenges in computational science, the use of supercomputing, parallel processing, and - phisticated algorithms is inevitable and becomes a part of fundamental t- oretical research as well as endeavors in emerging ?elds.
Object Recognition, Attention, and Action
This book provides an excellent introduction to the issues that are involved, with chapters that address the ways in which humans and machines attend to, recognize, and act toward objects in the visual environment.
Novel NMR and EPR Techniques
This book delivers a survey of recent research in the fields of condensed matter physics and chemistry based on novel NMR and ESR techniques. Applications include quantum computing, metal nanoparticles, low dimensional magnets, fullerenes as atomic cages, superconductors, porous media, and laser assisted studies. The book is dedicated to Professor Robert Blinc, on the occasion of his seventieth birthday, in appreciation of his remarkable scientific accomplishments in the NMR of condensed matter.
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
This book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies.
Non-Native Language Teachers : Perceptions, Challenges and Contributions to the Profession
Now that non-natives are increasingly found teaching languages, and particularly English, both in ESL and EFL contexts, the identification of their specific contributions and their main strengths has become more relevant than ever.As a result, there has recently been a surge of interest in the role of non-native teachers but little empirical research has been published so far. This volume is particularly rich in providing different approaches to the study of non-native teachers: NNS teachers as seen by students, teachers, graduate supervisors, and by themselves. It also contributes little explored perspectives, like classroom discourse analysis, or a social-psychological framework to discuss conceptions of NNS teachers.
Nonlinear Speech Modeling and Applications : Advanced Lectures and Revised Selected Papers
Presents the revised tutorial lectures given at the International Summer School on Nonlinear Speech Processing-Algorithms and Analysis held in Vietri sul Mare, Salerno, Italy in September 2004. The 14 revised tutorial lectures by leading international researchers are organized in topical sections on dealing with nonlinearities in speech signals, acoustic-to-articulatory modeling of speech phenomena, data driven and speech processing algorithms, and algorithms and models based on speech perception mechanisms. Besides the tutorial lectures, 15 revised reviewed papers are included presenting original research results on task oriented speech applications.
Nonlinear dynamics in complex systems via fractals and fractional calculus
Current advances in the knowledge of nonlinear dynamical networks, systems and processes, as well as their unified repercussions, allow us to include some typical complex natural phenomena, from the nanoscale to an extra-galactic scale, in an unitarian comprehensive manner. In other words, the physical, biological and financial data, as well as technological ones (mechanical or electronic devices), of complex systems available today can be managed by the same unique conceptual approach, both analytically and through a computer simulation, using effective nonlinear dynamics procedures. This volume collected some important advances in the fields of fractal curves, fractal analysis and fractional calculus, as well as new solutions of fractal differential equations.
Non-Equilibrium Phase Transitions ; Vol. I : Absorbing Phase Transitions
This book describes two main classes of non-equilibrium phase-transitions: (a) static and dynamics of transitions into an absorbing state, and (b) dynamical scaling in far-from-equilibrium relaxation behaviour and ageing. The first volume begins with an introductory chapter which recalls the main concepts of phase-transitions, set for the convenience of the reader in an equilibrium context. The extension to non-equilibrium systems is made by using directed percolation as the main paradigm of absorbing phase transitions and in view of the richness of the known results an entire chapter is devoted to it, including a discussion of recent experimental results. Scaling theories and a large set of both numerical and analytical methods for the study of non-equilibrium phase transitions are thoroughly discussed.
New Horizons of Parallel and Distributed Computing
Parallel and distributed computing is one of the foremost technologies for shaping future research and development activities in academia and industry. Hyperthreading in Intel processors, hypertransport links in next generation AMD processors, multicore silicon in today’s high-end microprocessors, emerging cluster and grid computing, has moved parallel/distributed computing into the mainstream of computing. New Horizons of Parallel and Distributed Computing is a collection of self-contained chapters written by pioneers and researchers to provide solutions for newly emerging problems in this field. This volume will not only provide novel ideas, work in progress and state-of-the-art techniques in the field, but also stimulate future research activities in the area of parallel and distributed computing with applications. New Horizons of Parallel and Distributed Computing is intended for researchers and graduate students in computer science and electrical engineering, as well as researchers and developers in industry. This book can be used as a textbook and a reference for use by students, researchers, and developers.
New Frontiers in Environmental and Social Labeling
The attractiveness of product labeling stems from their voluntary nature to achieve environmental and social goals. It is argued that through product price premia which reflect the willingness of consumers to pay more for green and socially conscious products, labels have the potential to generate changes in production techniques. In addition, labeling of products has become the preferred instrument for solving high profile trade disputes amongst members of the World Trade Organization. The contributions in this volume provide an indepth look at labeling and its relation to the governance of global trade. The book aims at bridging the research gaps related to the link between consumers’ perception of a label with their willingness to pay, the impact and the limitations of labeling in the event of food safety hazards, and the trade and development dimensions of labeling.
New Challenges in Superconductivity : Experimental Advances and Emerging Theories ; Proceedings of the NATO Advanced Research Workshop, held in Miami, Florida, 11-14 January 2004
This volume contains the proceedings of the 2004 University of Miami Workshop on Unconventional Superconductivity. The workshop was the fourth in a series of successful meetings on High-T Superconductivity and C related topics, which took place at the James L. Knight Physics Building on the University of Miami campus in Coral Gables, Florida, in January 1991, 1995, 1999, and 2004. The workshop consisted of two consecutive events: 1. NATO Advanced Research Workshop (ARW) on New Challenges in Superconductivity: Experimental Advances and Emerging Theories, held on January 11-14, 2004; 2. Symposium on Emerging Mechanisms for High Temperature Superconductivity (SEMHTS), held on January 15-16, 2004.
New Carbon Based Materials for Electrochemical Energy Storage Systems : Batteries, Supercapacitors and Fuel Cells
This NATO-ARW volume contains a diverse collection of papers addressing the role of carbon in some key electrochemical systems, both conventional and emerging. These papers discuss the latest issues associated with development, synthesis, characterization and use of new advanced carbonaceous materials for electrochemical energy storage. Such systems include: metal-air primary and rechargeable batteries, fuel cells, supercapacitors, cathodes and anodes of lithium-ion and lithium polymer rechargeable batteries, as well as nanocarbon materials of the future.
New advances in audio signal processing
In the era of digitalization, audio signal processing is gaining peculiar relevance as an automation and remote analysis means, also considering its enhancement by novel artificial intelligence (AI) techniques. This Reprint aims to offer an overview of the current developments in all fields that revolve around audio processing: from advancements in the acoustic domain to deep learning architectures for the audio-based analysis of real-world problems such as pitch detection or pathology identification.
Neurotransmitter Interactions and Cognitive Function
Cognitive function involves the participation of many different neurotransmitter systems in a variety of brain areas. The centerpiece of investigation regarding cognitive function has classically been the cholinergic system, but it has become increasingly clear that other transmitter systems interact with cholinergic systems to provide the neural basis for cognitive function. This book brings together cutting edge research to determine how the transmitter interactions form the mechanistic bases for attention, learning and memory. This research on transmitter interactions not only provides a more accurate, though complex, picture of how the brain works to provide cognitive function, it also provides important new levels of understanding about the mechanisms of cognitive dysfunction and novel avenues for therapeutic treatment. The researchers who contributed to this volume both reviewed the latest findings but also point to the directions of advancement of the field of neurotransmitter interactions and cognitive function.
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.
Neurodynamics of Cognition and Consciousness
This book addresses dynamical aspects of brain functions and cognition. This volume gives an overview of recent advances in this interdisciplinary field of cognitive and computer science related to dynamics of cognition, including experimental studies, dynamical modelling and interpretation of cognitive experiments, and theoretical approaches.
Neurodegeneration in Multiple Sclerosis
In multiple sclerosis (MS), conventional magnetic resonance imaging (cMRI) has proved to be a valuable tool to increase diagnostic reliability and to monitor the efficacy of experimental treatment. However, cMRI has limited specificity and accuracy as to the most disabling aspects of the MS pathology, known to occur in and outside macroscopic lesions. Modern quantitative MR techniques have the potential to overcome the limitations of cMRI, and their application is dramatically changing our understanding of how MS causes irreversible disability.
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.
Neural networks and deep learning
Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.
