الصفحة 78
الصفحة 78
Library and information sciences : Trends and research
Introduces the opportunities and challenges faced by the library and information literacy profession and discusses the key role of librarians in the future of information literacy education. Next, it covers trends in LIS education by examining the vision of the iSchool movement and detailing its practice in Syracuse University. The book then covers issues in information seeking and retrieval by showing how visual data mining technology can be used to detect the relationship and pattern between terms on the Q&A of a social media site. It also includes a case study regarding tracing information seeking behavior and usage on a multimedia website.
Leveraging Data Science for Global Health
Explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources.
Level the curve: data-driven practice management principles to compete in today's changing orthodontic landscape
In Level the curve, tech-savvy orthodontist and entrepreneur Dr. Jamie Reynolds teams with digital stats guru Oliver Gelles to rewrite the rules for running a profitable orthodontic practice. Their book offers a proven, data-driven system that’s the new gold standard in orthodontic practices all over the country.
Les infections intra-abdominales aiguës = Acute intra-abdominal infections
Paradoxically, serious intra-abdominal infections are the forgotten ones in the world of infectious diseases. Paradoxical, because they are very common pathologies, affecting all age groups of the population and often life-threatening; paradoxical, because they concern many medical specialties through intensive care, gastroenterology, hepatology, imaging, infectious diseases, emergencies and surgery. Hence the need, thanks to an interdisciplinary collaboration, to publish a book in French bringing together all infectious abdominal pathologies, thus offering a synthesis of recent data from the literature in this field. This document should allow the various specialties concerned to find updates integrating the latest clinical, diagnostic and therapeutic data. Specialty interns and practitioners in the field will find something to establish an effective and up-to-date strategy for the management of patients with these pathologies, the high incidence of which and the severity of which is too often overlooked, it is important to remember.
Legitimacy Needs as Drivers of Business Exit
A diversified firm’s withdrawal from a business unit, i.e. business exit, is a significant phenomenon in management practice. Although divestitures are highly relevant in practice, the acquisition of business units attracts much more attention in strategic management research. Carolin Decker develops and empirically applies a framework in which business exits serve the purpose of re-establishing a firm’s previously harmed legitimacy. She suggests four types of legitimacy needs that are to be satisfied with the divestiture of a business unit and the simultaneous pursuit of strategic reorientation. The author tests the theoretical framework with secondary data on 213 business exits. Her findings support the idea that legitimacy needs drive the likelihood of fit-enhancing business exits in divesting firms.
Learning the language of dentistry : disciplinary corpora in the teaching of English for specific academic purposes
Explores the affordances of disciplinary corpora for the teaching and learning of the language of dentistry, within the field of English for Specific Academic Purposes (ESAP). We extract disciplinary register features and vocabulary from three key genres of the dentistry discipline (published experimental research articles, case reports, and novice/professional research reports within the Dental Public Health domain), before integrating these features into ESAP pedagogy in the form of corpus-based ESAP materials that promote student-led direct engagement with disciplinary corpora – an approach known as 'data-driven learning'. This book is a timely and relevant addition to the field of corpus linguistics and ESAP, and is especially targeted at ESAP professionals who are required to teach disciplinary discourses but who may struggle to know what to teach as non-experts of the target discipline.
Learning from data streams : Processing techniques in sensor networks
The book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. The set of chapters covers the state-of-art in data stream mining approaches using clustering, predictive learning, and tensor analysis techniques, and applying them to applications in security, the natural sciences, and education.
Learning Classifier Systems in Data Mining
Just over thirty years after Holland first presented the outline for Learning Classifier System paradigm, the ability of LCS to solve complex real-world problems is becoming clear. In particular, their capability for rule induction in data mining has sparked renewed interest in LCS. This book brings together work by a number of individuals who are demonstrating their good performance in a variety of domains.
Learning Classifier Systems ; International Workshops, IWLCS 2003-2005, Revised Selected Papers
The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions.
Learning Classifier Systems ; 10th International Workshop, IWLCS 2006, Seattle, MA, USA, July 8, 2006 and 11th International Workshop, IWLCS 2007, London, UK, July 8, 2007, Revised Selected Papers
Constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO.The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.
Learning at speed : How to upskill and reskill your workforce at pace to drive business performance
Learning at Speed is a practical book which brings together the best from lean and agile methodologies to show how they can be applied to learning and development (L&D) to improve individual and organizational performance. This provides a people development framework which can be used to deconstruct a learning strategy and optimise each element for improved results. It shows how to identify learning barriers and possible solutions, leverage company data to understand learning needs and how to assess the most effective learning resources and delivery channels.
Learning Analytics : Using Talent Data to Improve Business Outcomes
Effective evaluation and measurement of learning and development initiatives is critical to maximise the impact of training, identify gaps for improvement and ensure that efforts are aligned to the business' needs. Learning Analytics outlines how analytical approaches can respond to these challenges, the types and benefits of technological solutions and how to ask the right questions of organizational data in order to build a learning organization that boosts performance and competitive advantage.
Le cancer du sein = Breast cancer
The reader will find there both a synthetic summary of the current state of knowledge of epidemiology, risk factors and pathological aspects as well as a presentation of the surgical aspects, in particular, of the new approach that constitutes the sentinel node procedure. Radiotherapy, in a practical view, is divided into essential clinical questions. The medical treatment is then discussed according to the different situations encountered on a daily basis. Particular attention is of course paid to recent data both with the contribution of hormone therapy and targeted therapies. Finally, the symptomatic treatments and especially the psychological care of these patients are not forgotten.
Layce (Image data poisoning) = لايس (تسميم بيانات الصور )
The ongoing growth of image generative artificial intelligence models was paved with existing drawings and art pieces by great artists both past and present, and while generative models are very useful and helpful, there is the issue of the origin of the datasets trained on, and the morality of usage regarding copyrights and artistic identity. A novel line of defense that helps artists and visual content creators actively protect their pieces emerged, dubbed Data Poisoning and it works by misleading Artificial Intelligence models that attempt to use a Poisoned Image for training, or as a reference, as the Poisoned Image will appear to the human eye identical to the original art piece, while the Artificial Intelligence model will be seeing a remarkably different image, causing generative models to generate false positive results when given a prompt poisoned by the author or when trained on data poisoned by the original owner. This study aims to study image data poisoning methods and technologies, and build an application containing multiple image models, and poisoning models as well, accompanied by a Community for artists to share art and interact with each other.
Lattice : Multivariate Data Visualization with R
R is rapidly growing in popularity as the environment of choice for data analysis and graphics both in academia and industry. Lattice brings the proven design of Trellis graphics (originally developed for S by William S. Cleveland and colleagues at Bell Labs) to R, considerably expanding its capabilities in the process. Lattice is a powerful and elegant high level data visualization system that is sufficient for most everyday graphics needs, yet flexible enough to be easily extended to handle demands of cutting edge research. Written by the author of the lattice system, this book describes it in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed.
LATIN 2008 : Theoretical Informatics ; 8th Latin American Symposium, Búzios, Brazil, April 7-11, 2008. Proceedings
The Latin American Theoretical INformatics Symposium (LATIN) is becoming a traditional and high-quality conference on the Theory of Computing. Previous conferences havebeen organized twiceinBrazil: SaoPaulo (1992) and Campinas (1998); twice in Chile: Valpara so (1995) and Valdivia (2006); once in Uruguay: Punta del Este (2000); once in Mexico: Cancun (2002); and once in Argentina: Buenos Aires (2004). This volume contains the proceedings of the 8th Latin American Theore- cal INformatics Symposium (LATIN 2008), which was held in Buzio s, Rio de Janeiro, Brazil, April 7 11, 2008.
LATIN 2006 : Theoretical Informatics ; 7th Latin American Symposium, Valdivia, Chile, March 20-24, 2006, Proceedings
This book constitutes the refereed proceedings of the 7th International Symposium, Latin American Theoretical Informatics, LATIN 2006, held in March 2006. The 66 revised full papers presented together with seven invited papers were carefully reviewed and selected from 224 submissions. The papers presented are devoted to a broad range of topics in theoretical computer science with a focus on algorithmics and computations related to discrete mathematics as well as on cryptography, data compression and Web applications.
Large-Scale Cognitive Assessment : Analyzing PIAAC Data
Summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldwide to date has been widely received and used by an interdisciplinary research community
Languages and Compilers for Parallel Computing ; 21th International Workshop, LCPC 2008, Edmonton, Canada, July 31 - August 2, 2008, Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2008, held in Edmonton, Canada, in July/August 2008.The 18 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 35 submissions. The papers address all aspects of languages, compiler techniques, run-time environments, and compiler-related performance evaluation for parallel and high-performance computing and comprise
Languages and Compilers for Parallel Computing ; 20th International Workshop, LCPC 2007, Urbana, IL, USA, October 11-13, 2007, Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 20th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2007, held in Urbana, IL, USA, in October 2007.The 23 revised full papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on reliability, languages, parallel compiler technology, libraries, run-time systems and performance analysis, and general compiler techniques.
