الصفحة 2
الصفحة 2
Novel Trends in Brain Science : Brain Imaging, Learning and Memory, Stress and Fear, and Pain
With the development of neural science, knowledge of the molecules and neurons that comprise the brain has increased exponentially in the past two decades. In Novel Trends in Brain Science, leading neuroscientists from Japan and Taiwan describe the latest and most relevant research in brain science, including state-of-the-art brain-imaging technologies such as fMRI, MR-DTI, TMS, and MEG, and also discuss learning, memory, emotions, and pain. With a wide range of contributors, the book presents valuable insights into functional neuroimaging, white matter tractography, synaptic plasticity, emoti.
Novel mouse model for future autism research
Autism spectrum disorder (ASD) is a set of neurodevelopmental disorders characterized by a deficit in social behaviors and nonverbal interactions such as reduced eye contact, facial expression, and body gestures in the first 3 years of life. It is not a single disorder, and it is broadly considered to be a multi-factorial disorder resulting from genetic and non-genetic risk factors and their interaction. Genetic studies of ASD have identified mutations that interfere with typical neurodevelopment in utero through childhood. These complexes of genes have been involved in synaptogenesis and axon motility. Recent developments in neuroimaging studies have provided many important insights into the pathological changes that occur in the brain of patients with ASD in vivo. Especially, the role of amygdala, a major component of the limbic system and the affective loop of the cortico-striatothalamo-cortical circuit, in cognition and ASD has been proved in numerous neuropathological and neuroimaging studies.
Non-spectral Asymptotic Analysis of One-Parameter Operator Semigroups
In this book, non-spectral methods are presented and discussed that have been developed over the last two decades for the investigation of asymptotic behavior of one-parameter operator semigroups in Banach spaces. This concerns in particular Markov semigroups in L1-spaces, motivated by applications to probability theory and dynamical systems. Recently many results on the asymptotic behaviour of Markov semigroups were extended to positive semigroups in Banach lattices with order-continuous norm, and to positive semigroups in non-commutative L1-spaces. Related results, historical notes, exercises, and open problems accompany each chapter.
Nonsmooth Variational Problems and their Inequalities : Comparison Principles and Applications
The main purpose of this book is to provide a systematic and unified exposition of comparison principles based on a suitably extended sub-supersolution method. This method is an effective and flexible technique to obtain existence and comparison results of solutions. Also, it can be employed for the investigation of various qualitative properties, such as location, multiplicity and extremality of solutions. In the treatment of the problems under consideration a wide range of methods and techniques from nonlinear and nonsmooth analysis is applied, a brief outline of which has been provided in a preliminary chapter in order to make the book self-contained.
Nonlinear Time Series Analysis in the Geosciences : Applications in Climatology, Geodynamics and Solar-Terrestrial Physics
This book presents recent developments in nonlinear time series which have been motivated by present day problems in geosciences. Modern methods of spatio-temporal data analysis, time-frequency analysis, dimension analysis, nonlinear correlation and synchronization analysis and other nonlinear concepts are used to study emerging questions in climatology, geophysics, solar-terrestrial physics and related scientific disciplines. This volume collects contributions of some of the world's leading experts in geoscientific time series analysis.
Nonlinear Dynamics of Structures Under Extreme Transient Loads
Covers model building for different engineering structures and provides detailed presentations of extreme loading conditions. A number of illustrations are given quantifying; a plane crash or explosion induced impact loading, the effects of strong earthquake motion, and the impact and long-duration effects of strong stormy winds—along with a relevant framework for using modern computational tools. The book considers the levels of reserve in existing structures, and ways of reducing the negative impact of high-risk situations by employing sounder design procedures.
Nonlinear Analysis and Synthesis Techniques for Aircraft Control
Given the continuous increase in the complexity of aircraft control laws, and the corresponding - crease in the demands on their performance and reliability, industrial control law designers are highly motivated to explore the applicability of new and more powerful methods for design and analysis. The successful application of fully nonlinear control techniques to aircraft control problems o?ers the prospect of improvements in several di?erent areas. Firstly, there is the possibility of - proving design and analysis criteria to more fully re?ect the nonlinear nature of the dynamics of the aircraft. Secondly, the time and e?ort required on the part of designers to meet demanding speci?cations on aircraft performance and h- dling could be reduced. Thirdly, nonlinear analysis techniques could potentially reduce the time and resources required to clear ?ight control laws, and help to bridge the gap between design, analysis and ?nal ?ight clearance.
Non-Fungible Tokens (NFTs) : Examining the impact on consumers and marketing strategies
Focuses on the relevance of non-fungible token-based products in the current hyper-digitalized and hyper-connected world. Connecting the new NFTs’ technologies with academic literature on marketing, the authors highlight future research streams as well as strategies and factors that marketers and managers can use to promote this new type of product.
Next generation information technologies and systems ; 6th International Conference, NGITS 2006, Kebbutz Sehfayim, Israel, July 4-6, 2006, Proceedings
The selected papers may be classified roughly in ten broad areas: ? Information systems development ? Distributed systems ? Semi-structured data ? Data mining and agent-oriented computing ? User-oriented design ? Frameworks, models and taxonomies ? Simulation and incremental computing ? Information integration ? Security and privacy ? Next-generation applications This event is the culmination of efforts by many talented and dedicated individuals.
Next Generation Design and Verification Methodologies for Distributed Embedded Control Systems ; Proceedings of the GM R&D Workshop, Bangalore, India, January 2007
This volume is the proceedings of the workshop “Next Generation Design and Verification Methodologies for Distributed Embedded Control Systems” organised by General Motors R&D, India Science Lab. The workshop was held on January 5-6 2007 at the NIAS auditorium, IISc campus, Bangalore, India. This workshop is the first of its kind to be organised by an automotive major to bring together the leaders in the field of embedded systems development to present state-of-the-art work, and to discuss future strategies for addressing the increasing complexity of embedded control systems. The workshop consisted of invited talks given by leading experts and researchers from academic and industrial organizations.
New Vision of Metformin in treating cancer
The anti-diabetic drug metformin is rapidly emerging as a potential anticancer agent. Metformin is a biguanide that is effective in treating type 2 diabetes and the insulin resistance syndromes, improves insulin resistance by reducing hepatic gluconeogensis and by enhancing glucose uptake by skeletal muscle. Metformin can reduce the incidence of cancers and can reduce the mortality from cancers, increase the response to treatment cancer cells when using radiotherapy and chemotherapy, reduce the likelihood of relapse. Diabetes can be a factor in the occurrence of various types of cancer, and develop a variety of cancers such as colo-rectal, pancreas and liver cancers, compared to non-diabetic patients. Incidence of various cancers is high among patients of T2DM due to insulin resistance and mitogenic effects caused by hyperglycemia.
New Techniques in Solid-State NMR
After the discovery of nuclear magnetic resonance, [1, 2] the new spectroscopy was used for the study of 1 H nuclei in liquids, but then the signal from copper in the receiver coil itself, the first observation of NMR in the solid state, was found.“Wide-line NMR”, named thus because of the line-broadening effects of dipolar interaction and chemical shift anisotropy, was not far behind, and soon led to significant advances through the analysis of spectral lineshapes. Inthis way Richards and Smith [3] demonstrated the presence of H3O+ cations in solid hydrates of strong acids, while Andrew and Eades [4] investigated the details of molecular motion in three solid benzenes. Even now, 50 years later, it is difficult to think of a technique which would provide a more convincing demonstration of the reality of these effects.
New Stream Cipher Designs : The eSTREAM Finalists
The goal of eSTREAM was to promote the design of new stream ciphers with a particular emphasis on algorithms that would be either very fast in software or very resource-efficient in hardware. Algorithm designers were invited to submit new stream cipher proposals to eSTREAM, and 34 candidates were proposed from around the world. Over the following years the submissions were assessed with regard to both security and practicality by the cryptographic community, and the results were presented at major conferences and specialized workshops dedicated to the state of the art of stream ciphers.
New Results in Numerical and Experimental Fluid Mechanics VI ; Contributions to the 15th STAB/DGLR Symposium Darmstadt, Germany, 2006
The volume gives a broad overview over the ongoing work in this field in Germany, with the topics being high-aspect ratio wings, low aspect-ratio wings, bluff bodies, laminar flow control and transition, active flow control, hypersonic flows, aeroelasticity, aeroacoustics, mathematical fundamentals/ numerical simulation, physical fundamentals, and facilities.
New insights in machine learning and deep neural networks
Gatheres ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein.
New frontiers in artificial intelligence ; JSAI-isAI International Workshops, JURISIN, AI-Biz, LENLS, Kansei-AI, Yokohama, Japan, November 10–12, 2019, Revised Selected Papers
This book constitutes extended, revised and selected papers from the 11th International Symposium of Artificial Intelligence supported by the Japanese Society for Artificial Intelligence, JSAI-isAI 2019. It was held in November 2019 in Yokohama, Japan. The 26 papers were carefully selected from 46 submissions and deal with topics of AI research and are organized into 4 sections, according to the 4 workshops: JURISIN 2019, AI-Biz 2019, LENLS 16, and Kansei-AI 2019.
New Frontiers in Artificial Intelligence ; JSAI 2007 Conference and Workshops, Miyazaki, Japan, June 18-22, 2007, Revised Selected Papers
The technology of artifcial intelligence is increasing its importance thanks to the rapid growth of the Internet and computer technology. In Japan, the annual conference series of JSAI (The Japanese Society for Arti?cial Intelligence) has been playing a leading role in promoting AI research, and selected papers of the annual conferences have been published in the LNAI series since 2003. This book consists of award papers from the 21st annual conference of JSAI (JSAI 2007) and selected papers from the four co-located workshops.
New Frontiers in Artificial Intelligence ; JSAI 2006 Conference andWorkshops
The objectives of this book are to present the award papers of the 20th annual conference of JSAI 2006 and selected papers from the three co-located international workshops and to promote the study exchange among researchers worldwide.
New Frontiers in Artificial Intelligence ; Joint JSAI 2005 Workshop Post-Proceedings
The objectives of this book are to present the award papers from the 19th annual conference of JSAI 2005 and the selected papers from the ?ve co-located international workshops and to promote the study exchange among worldwide researchers. Five papers received awards among more than 200 presentations in the conference, and 40 papers were selected from the workshops of Logic and Engineering of Natural Language Semantics 2005 (LENLS 2005), Learning with Logics and Logics for Learning (LLLL 2005), Agent Network Dynamics and Intelligence (ANDI 2005), Conversational Informatics (CI 2005) and Risk Management Systems with Intelligent Data Analysis (RMSIDA 2005).
New experiment therapies for old disease
Mucorales are fast-growing thermotolerant fungi that are ubiquitous in the environment. They have a worldwide distribution and are commonly found in decaying organic material or agricultural and forest soils (1). Mucormycosis is a group of mould infections caused by fungi in the class previously known as Zygomycetes now renamed Mucormycetes (2).
