Protein structure is complex trajectory in 3D space and it can be abstracted into a polygonal curve. Capturing structural properties from the Cartesian coordinates of thousands of atoms is an important step in performing structural analysis such as similarity detection and defining patterns. The objective of this research is to investigate the potential use of some knot theoretic quantities such as self-linking, R30 invariants and HEO vector for structural Bioinformatics applications. The work presented suggests that self-linking (writhing) can be used to identify a-helices. A revised sliding window approach together with 2 curve simplification methods were employed in the optimal window analysis to capture regions that maximize or minimize self-linking properties in a protein?s backbone trajectory. The accuracy of this method is significant although insufficient to be used for domain boundary identification. Most interestingly, the topological properties of adjacent protein domains are significantly larger than for domain that are not adjacent within a gene. This experimental result suggests that proteins tend to evolve contiguous domains with polarized topological properties.
Recently, traditional instructional design methodologies have been criticized that they may be ineffective in reaching transfer of learning, particularly in complex learning domains. Recent instructional and learning theories tend to focus on authentic learning tasks that are based on real- world problems as the driving force for transfer of learning. The study compared a conventional instructional approach (called the Part-task approach) with a 4C/ID-model based instructional approach (called the Whole-task approach) to see if the 4C/ID approach promotes better transfer of learning in a complex learning domain. Results indicated that the whole-task group performed significantly better than the part-task group on a skill acquisition test and a transfer test. The findings from the study should help shed some light on this important area, and should be especially useful to professionals in Instructional Design and Training fields, or anyone else who may be interested in teaching complex cognitive skills.
High Quality Content by WIKIPEDIA articles! In mathematics, an arithmetic group (arithmetic subgroup) in a linear algebraic group G defined over a number field K is a subgroup of G(K) that is commensurable with G(O), where O is the ring of integers of K. Here two subgroups A and B of a group are commensurable when their intersection has finite index in each of them. It can be shown that this condition depends only on G, not on a given matrix representation of G. Examples of arithmetic groups include therefore the groups GLn(Z). The idea of arithmetic group is closely related to that of lattice in a Lie group. Lattices in that sense tend to be arithmetic, except in well-defined circumstances. The exact relationship of the two concepts was established by the work of Margulis on superrigidity. The general theory of arithmetic groups was developed by Armand Borel and Harish-Chandra, the description of their fundamental domains was in classical terms the reduction theory of algebraic forms.
This book explores two strands of Audiovisual Translation referred to as "research" and "use". As their points of convergence as well as divergence are brought to light, the contributors show that the two tend to overlap and cross-pollinate. The volume's inquiries of linguistic, cultural, sociological, computational, educational and historical nature give a comprehensive up-to-date account of AVT as an expanding and heterogeneous, yet internally coherent, field of scientific and professional endeavour."The book offers a good balance of chapters dealing with new topics and chapters dealing with more established AVT topics from new angles. It is a must read for TS students and academics but also for practitioners and for translators from other domains, given the increased prominence and diversity of AVT modes both in TS research and translation practice."(Professor Aline RemaelUniversity of AntwerpChair of the Department of Applied Linguistics, Translators and Interpreters)
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Viscount Oda Suemaru ( April 5, 1866 - June 26, 1871) was the fourth daimyo of the tozama feudal domain of Tend , in Dewa province, northern Japan. Oda Suemaru was a direct descendant of Oda Nobunaga, through Nobunaga''s son Oda Nobukatsu. Suemaru was born as the sixth son of Oda Nobumichi (the 2nd Lord Tend ). He was still in an infant when his brother, Oda Nobutoshi (the 3rd Lord Tend ) was placed under house arrest and ordered to retire due to his involvement in the Ouetsu Reppan Domei of northern domains against the Meiji government during the Boshin War of the Meiji restoration in December 1868. Nobutoshi was allowed to return to Tend in July 1869. However, in the interim, the title of daimyo had been replaced by domain governor by the new government. Soon after Nobutoshi''s return to Tend , he replaced Suemaru as governor and final lord of Tend .
The purpose of this volume is to provide an overview of Terry Speed's contributions to statistics and beyond. Each of the fifteen chapters concerns a particular area of research and consists of a commentary by a subject-matter expert and selection of representative papers. The chapters, organized more or less chronologically in terms of Terry's career, encompass a wide variety of mathematical and statistical domains, along with their application to biology and medicine. Accordingly, earlier chapters tend to be more theoretical, covering some algebra and probability theory, while later chapters concern more recent work in genetics and genomics. The chapters also span continents and generations, as they present research done over four decades, while crisscrossing the globe.The commentaries provide insight into Terry's contributions to a particular area of research, by summarizing his work and describing its historical and scientific context, motivation, and impact. In addition to shedding light on Terry's scientific achievements, the commentaries reveal endearing aspects of his personality, such as his intellectual curiosity, energy, humor, and generosity.
This book to offers a hands-on guide to designing, analyzing and debugging a communication infrastructure based on the Controller Area Network (CAN) bus. Although the CAN bus standard is well established and currently used in most automotive systems, as well as avionics, medical systems and other devices, its features are not fully understood by most developers, who tend to misuse the network. This results in lost opportunities for better efficiency and performance. These authors offer a comprehensive range of architectural solutions and domains of analysis. It also provides formal models and analytical results, with thorough discussion of their applicability, so that it serves as an invaluable reference for researchers and students, as well as practicing engineers.
This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals-often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier.Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across-from detailed electrochemical models to algorithms used for real time estimation on a microchip-is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework-often invoking basic principles of thermodynamics or transport phenomena-and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well.The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.
This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data-processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interest from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental powers of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimen tal, and methodological studies will also appear from time to time. The present volume reflects the kind of insights that can be obtained when research workers in philosophy, artificial intelligence, and computer science explore problems of common concern. The issues here tend to fall into two broad but varied sets, namely: those concerned with content and concepts, on the one hand, and those concerned with semantics and epistemology, on the other. The collection begins with a prologue that focuses upon the relations between connectionism and alternative conceptions of nativism and ends with an epilogue that examines the significance of alternative conceptions of the Frame Problem for artificial intelligence. Because these papers are rich and diverse, they ought to appeal to a wide and heterogeneous audience. J.H.F.