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Computers

  • 2007 ProQuest Safari
    Jerry Joyce, Marianne Moon.
    About this book -- Working in Office -- Common tasks in Office -- Viewing and editing text in Word -- Formatting in Word -- Working with special content in Word -- Working in Excel -- Analyzing and presenting data in Excel -- Creating a PowerPoint presentation -- Presenting a PowerPoint slide show -- Working with messages in Outlook -- Organizing with Outlook -- Creating a publication in Publisher -- Working in Access -- Exchanging information among Office programs -- Customizing and securing Office.
  • 2011 ProQuest Safari
    Paul Teetor.
  • 2014 ScienceDirect
    Jung W. Suh, Youngmin Kim.
    "Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge -- Explains the related background on hardware, architecture and programming for ease of use -- Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects."--Provided by publisher.
  • 2007 ProQuest Safari
    Matthew MacDonald.
  • Click LINK above for additional Print location/circulation status.
    2007 ProQuest Safari
    Ken Bluttman and Wayne S. Freeze.
    Also available: Print – 2007
  • 2007 ProQuest Safari
    Stephanie Krieger.
  • 2014 ProQuest Safari
    Surendra Mohan.
  • 2013 CRCnetBASE
    Ding-Geng (Din) Chen, Karl E. Peace.
    "Preface In Chapter 8 of our previous book (Chen and Peace, 2010), we briefy introduced meta-analysis using R. Since then, we have been encouraged to develop an entire book on meta-analyses using R that would include a wide variety of applications - which is the theme of this book. In this book we provide a thorough presentation of meta-analysis with detailed step-by-step illustrations on their implementation using R. In each chapter, examples of real studies compiled from the literature and scienti c publications are presented. After presenting the data and sufficient background to permit understanding the application, various meta-analysis methods appropriate for analyzing data are identi ed. Then analysis code is developed using appropriate R packages and functions to meta-analyze the data. Analysis code development and results are presented in a stepwise fashion. This stepwise approach should enable readers to follow the logic and gain an understanding of the analysis methods and the R implementation so that they may use R and the steps in this book to analyze their own meta-data. Based on their experience in biostatistical research and teaching biostatistical meta-analysis, the authors understand that there are gaps between developed statistical methods and applications of statistical methods by students and practitioners. This book is intended to ll this gap by illustrating the implementation of statistical mata-analysis methods using R applied to real data following a step-by-step presentation style. With this style, the book is suitable as a text for a course in meta-data analysis at the graduate level (Master's or Doctorate's), particularly for students seeking degrees in statistics or biostatistics"-- Provided by publisher.
  • 2006 ProQuest Safari
    Stephane Faroult with Peter Robson.
  • 2008 Springer Protocols
    David J. Livingstone, editor.
    Artificial neural networks in biology and chemistry : the evolution of a new analytical tool / Hugh M. Cartwright -- Overview of artificial neural networks / Jinming Zou, Yi Han, and Sung-Sau So -- Bayesian regularization of neural networks / Frank Burden and Dave Winkler -- Kohonen and counterpropagation neural networks applied for mapping and interpretation of IR spectra / Marjana Novic -- Artificial neural network modeling in environmental toxicology / James Devillers -- Neural networks in analytical chemistry / Mehdi Jalali-Heravi -- Application of artificial neural networks for decision support in medicine / Brendan Larder, Dechao Wang, and Andy Revell -- Neural networks in building QSAR models / Igor I. Baskin, Vladimir A. Palyulin, and Nikolai S. Zefirov -- Peptide bioinformatics : peptide classification using peptide machines / Zheng Rong Yang -- Associative neural network / Igor V. Tetko -- Neural networks predict protein structure and function / Marco Punta and Burkhard Rost -- The extraction of information and knowledge from trained neural networks / David J. Livingstone ... [et al.].
  • 2008 Springer
    Lionel Prevost, Simone Marinai, Friedhelm Schwenker (eds.).
  • 2015 Springer Protocols
    edited by Hugh Cartwright.
    Introduction to the analysis of the intracellular sorting information in protein sequences: from molecular biology to artificial neural networks -- Protein structural information derived from NMR chemical shift with the neural network program TALOS-N -- Predicting bacterial community assemblages using an artificial neural network approach -- A general ANN-based multitasking model for the discovery of potent and safer antibacterial agents -- Use of artificial neural networks in the QSAR prediction of physicochemical properties and toxicities for REACH legislation -- Artificial neural network for charge prediction in metabolite identification by mass spectrometry -- Prediction of bioactive peptides using artificial neural networks -- AutoWeka: toward an automated data mining software for QSAR and QSPR studies -- Ligand biological activity predictions using fingerprint-based artificial neural networks (FANN-QSAR) -- GENN: a general neural network for learning tabulated data with examples from protein structure prediction -- Modulation of grasping force in prosthetic hands using neural network-based predictive control -- Application of artificial neural networks in computer-aided diagnosis -- Developing a multimodal biometric authentication system using soft computing methods -- Using neural networks to understand the information that guides behavior: a case study in visual navigation -- Jump neural network for real-time prediction of glucose concentration -- Preparation of Ta-O-based tunnel junctions to obtain artificial synapses based on memristive switching -- Architecture and biological applications of artificial neural networks: a tuberculosis perspective -- Neural networks and fuzzy clustering methods for assessing the efficacy of microarray based intrinsic gene signatures in breast cancer classification and the character and relations of identified subtypes -- QSAR/QSPR as an application of artificial neural networks -- Preface. Artificial neural networks.
  • Click LINK above for Print location/circulation status.
    2007 CRCnetBASE
    Brian D. Bissett.
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  • 2012 CRCnetBASE
    Phil Woodward.
    "Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to create WinBUGS code and ancillary files for every analysis they undertake. Accessible to even those who would not routinely use Excel, this book provides a custom-made Excel GUI, immediately useful to those users who want to be able to quickly apply Bayesian methods without being distracted by computing or mathematical issues.From simple NLMs to complex GLMMs and beyond, Bayesian Analysis Made Simple describes how to use Excel for a vast range of Bayesian models in an intuitive manner accessible to the statistically savvy user. Packed with relevant case studies, this book is for any data analyst wishing to apply Bayesian methods to analyze their data, from professional statisticians to statistically aware scientists"-- Provided by publisher.
  • 2007 Springer
    Jim Albert.
    "Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language. The early chapters present the basic tenets of Bayesian thinking by use of familiar one and two-parameter inferential problems. Bayesian computational methods such as Laplace's method, rejection sampling, and the SIR algorithm are illustrated in the context of a random effects model. The construction and implementation of Markov Chain Monte Carlo (MCMC) methods is introduced. These simulation-based algorithms are implemented for a variety of Bayesian applications such as normal and binary response regression, hierarchical modeling, order-restricted inference, and robust modeling. Algorithms written in R are used to develop Bayesian tests and assess Bayesian models by use of the posterior predictive distribution. The use of R to interface with WinBUGS, a popular MCMC computing language, is described with several illustrative examples."--Jacket.
  • 2006 CRCnetBASE
    David McMahon, Daniel M. Topa.
  • 2005 ebrary
    Robert Sheldon and Geoff Moes.
  • 2005 ebrary
    Paul Wilton and John W. Colby.
  • 2007 ProQuest Safari
    Cliff Atkinson
    A guide to using Microsoft PowerPoint describes how to use storytelling techniques to create effective business presentations.
  • 2005 Springer
    editors, Robert Gentleman ... [et al.].
    Also available: Print – 2005
  • 2014 Wiley
    by Tien Tuan Dao, Marie-Christine Ho Ba Tho.
    Chapter 1. Biomechanics of the musculoskeletal system -- Chapter 2. Modeling of biomedical data uncertainty -- Chapter 3. Knowledge modeling in biomechanics of the musculoskeletal system -- Chapter 4. Clinical applications of biomechanical and knowledge-based models -- Chapter 5. Software and tools for knowledge modeling and reasoning/interference.
  • 2015 Wiley
    Carlos Reyes-Aldasoro.
    As its title suggests, this innovative book has been written for life scientists needing to analyse their data sets, and programmers, wanting a better understanding of the types of experimental images life scientists investigate on a regular basis. Each chapter presents one self-contained biomedical experiment to be analysed. Part I of the book presents its two basic ingredients: essential concepts of image analysis and Matlab. In Part II, algorithms and techniques are shown as series of 'recipes' or solved examples that show how specific techniques are applied to a biomedical experiments like Western Blots, Histology, Scratch Wound Assays and Fluoresence. Each recipe begins with simple techniques that gradually advance in complexity. Part III presents some advanced techniques for the generation of publication quality figures. The book does not assume any computational or mathematical expertise.
  • 2015 Wiley
    [edited by] Joo Hwee Lim, Sim Heng Ong, Wei Xiong.
    Overview of biomedical image understanding methods / Wei Xiong, Jierong Cheng, Ying Gu, Shimiao Li and Joo Hwee Lim -- Medical image segmentation and its application in cardiac MRI / Dong Wei, Chao Li and Ying Sun -- Retinal vascular measurements with VAMPIRE / Emanuele Trucco, Andrea Giachetti, Lucia Ballerini, Devanjali Relan, Alessandro Cavinato and Tom MacGillivray -- Analyzing cell and tissue morphologies using pattern recognition algorithms / Hwee Kuan Lee, Yan Nei Law, ChaoHui Huang and Choon Kong Yap -- 3D nonrigid image registration by Parzenwindow based normalized mutual information / Rui Xu, YenWei Chen, Shigehiro Morikawa and Yoshimasa Kurumi -- 2D/3D image registration for endovascular abdominal aortic aneurysm (AAA) repair / Shun Miao and Rui Liao -- Motion tracking in medical images / Chuqing Cao, Chao Li and Ying Sun -- Blood smear analysis and malaria infection detection from blood cell images / Wei Xiong, SimHeng Ong, Joo Hwee Lim, Jierong Cheng and Ying Gu -- Liver tumor segmentation using SVM framework and pathology characterization / Jiayin Zhou, Yanling Chi, Weimin Huang, Wei Xiong, Wenyu Chen, Jimin Liu and Sudhakar K. Venkatesh -- Benchmarking lymph node metastasis classification for gastric cancer staging / Su Zhang, Chao Li, Shuheng Zhang, Lifang Pang and Huan Zhang -- The use of knowledge in biomedical image analysis / Florence Cloppet -- Active shape model for contour detection of anatomical structure / Huiqi Li and Qing Nie.
  • 2014 Springer
    Cimino, James J.; Shortliffe, Edward H.
    Biomedical Informatics: Computer Applications in Health Care and Biomedicine meets the growing demand of practitioners, researchers, educators, and students for a comprehensive introduction to key topics in the field and the underlying scientific issues that sit at the intersection of biomedical science, patient care, public health, and information technology (IT). This 4th edition reflects the remarkable changes in both computing and health care that continue to occur and the exploding interest in the role that IT must play in care coordination and the melding of genomics with innovations in clinical practice and treatment. New chapters have been introduced on the health information infrastructure, consumer health informatics, telemedicine, translational bioinformatics, clinical research informatics, and health IT policy, while the others have all undergone extensive revisions, in many cases with new authors. The organization and philosophy are unchanged, focusing on the science of information and knowledge management and the role of computers and communications in modern biomedical research, health, and health care. Emphasizing the conceptual basis of the field rather than technical details, it provides an introduction and extensive bibliography so that readers can comprehend, assess, and utilize biomedical informatics and health IT. The volume focuses on easy-to-understand examples, a guide to additional literature, chapter summaries, and a comprehensive glossary with concise definitions of recurring terms for self-study or classroom use.
  • 2012 Springer Protocols
    edited by Luca Monticelli, Emppu Salonen.
    Ab Initio, density functional theory, and semi-empirical calculations / Mikael P. Johansson, Ville R.I. Kaila, and Dage Sundholm -- Ab Initio molecular dynamics / Kari Laasonen -- Introduction to QM/MM simulations / Gerrit Groenhof -- Computational enzymology / Alessio Lodola and Adrian J. Mulholland -- QM and QM/MM simulations of proteins / Thomas Steinbrecher and Marcus Elstner -- Classical molecular dynamics in a nutshell / Susanna Hug -- Enhanced sampling algorithms / Ayori Mitsutake, Yoshiharu Mori, and Yuko Okamoto -- Force fields for classical molecular dynamics / Luca Monticelli and D. Peter Tieleman -- Polarizable force fields / Hanne S. Antila and Emppu Salonen -- Electrostatics interactions in classical simulations / G. Andres Cisneros, Volodymyr Babin, and Celeste Sagui -- Introduction to best practices in free energy calculations / Michael R. Shirts and David L. Mobley -- Recipes for free energy calculations in biomolecular systems / Mahmoud Moradi [and others] -- Molecular docking methodologies / Andrea Bortolato [and others] -- Simulation studies of the mechanism of membrane transporters / Giray Enkavi [and others] -- Molecular dynamics simulations of lipid bilayers : simple recipe of how to do it / Hector Martinez-Seara and Tomasz Rog -- Simulations of lipid monolayers / Svetlana Baoukina and D. Peter Tieleman -- Simulating DNA by molecular dynamics : aims, methods, and validation / Nicolas Foloppe, Marc Gueroult, and Brigitte Hartmann -- Simulation of carbohydrates, from molecular docking to dynamics in water / Nicolas Sapay, Alessandra Nurisso, and Anne Imberty -- Systematic methods for structurally consistent coarse-grained models / W.G. Noid -- Martini coarse-grained force field / Xavier Periole and Siewert-Jan Marrink -- Multiscale molecular modeling / Matej Praprotnik and Luigi Delle Site -- Coarse-grained models for protein folding and aggregation / Philippe Derreumaux -- Elastic network models : theoretical and empirical foundations / Yves-Henri Sanejouand -- Introduction to dissipative particle dynamics / Zhong-Yuan Lu and Yong-Lei Wang -- Multiscale molecular dynamics simulations of membrane proteins / Syma Khalid and Peter J. Bond -- Vesicles and vesicle fusion : coarse-grained simulations / Julian C. Shillcock.
  • 2014 Springer
    Gerd Grübler, Elisabeth Hildt, editors.
    This volume summarizes the ethical, social and cultural contexts of interfacing brains and computers. It is intended for the interdisciplinary community of BCI stakeholders. Insofar, engineers, neuroscientists, psychologists, physicians, care-givers and also users and their relatives are concerned. For about the last twenty years brain-computer-interfaces (BCIs) have been investigated with increasing intensity and have in principle shown their potential to be useful tools in diagnostics, rehabilitation and assistive technology. The central promise of BCI technology is enabling severely impaired people in mobility, grasping, communication, and entertainment. Successful applications are for instance communication devices enabling locked-in patients in staying in contact with their environment, or prostheses enabling paralysed people in reaching and grasping. In addition to this, it serves as an introduction to the whole field of BCI for any interested reader. -- Provided by publisher.
  • 2008 Springer
    Gerard O'Regan.
  • 2007
  • 2007 ProQuest Safari
    Joseph Albahari and Ben Albahari.
  • 2006 ProQuest Safari
    Jeff Cogswell, Christopher Diggins, Ryan Stephens, Jonathan Turkanis.
    Building C++ applications -- Code organization -- Numbers -- Strings and text -- Dates and times -- Managing data with containers -- Algorithms -- Classes -- Exceptions and safety -- Streams and files -- Science and mathematics -- Multithreading -- Internationalization -- XML -- Miscellaneous.
  • 2006 ProQuest Safari
    Jay Hilyard, Stephen Teilhet.
  • 2005 ProQuest Safari
    Nelson H.F. Beebe, Arnold Robbins.
  • 2011 CRCnetBASE
    Ding-Geng (Din) Chen, Karl E. Peace.
    "With examples based on the authors' 30 years of real-world experience in many areas of clinical drug development, this book provides a thorough presentation of clinical trial methodology. It presents detailed step-by-step illustrations on the implementation of the open-source software R. Case studies demonstrate how to select the appropriate clinical trial data. The authors introduce the corresponding biostatistical analysis methods, followed by the step-by-step data analysis using R. They also offer the R program for download, along with other essential data, on their website"--Provided by publisher.
  • 2011 CRCnetBASE
    A.K. Soman.
    1. What are cloud services? -- 2. Benefits and drawbacks of cloud services -- 3. Cloud technologies -- 4. Cloud-based solutions for healthcare IT -- 5. HIPAA and HITECH : cloud perspective -- 6. Adopting cloud services -- 7. Interoperability -- 8. Cloud-based personal health records (PHR) -- 9. Case studies.
  • 2009 CRCnetBASE
    Gabriel Valiente.
  • 2006 ScienceDirect
    Erik T. Mueller.
  • 2013 Springer
    Adam I. Levine, Samuel DeMaria Jr., Andrew D. Schwartz, Alan J. Sim, editors.
    Part I. Introduction to simulation -- Part II. Simulation modalities and technologies -- Part III. Simulation for healthcare disciplines -- Part IV. Professional development in simulation -- Part V. Program development in simulation -- Appendices -- Index.
  • 2010
    Samuel Gross.
    In this thesis, I describe three main contributions I have made toward creating more accurate systems for the computational recognition of protein-coding genes. First, I present N-SCAN, a gene predictor based on a hidden Markov model that uses Bayesian networks to model multiple alignments. I also describe CONTRAST, a discriminative gene predictor based on a conditional random field and a set of support vector machines for recognizing coding region boundaries. Both N-SCAN and CONTRAST represented substantial improvements over the state-of-the-art at the time they were introduced. Additionally, I give an algorithm for training conditional random fields that maximizes an approximation to labelwise accuracy, as opposed to the usual maximum likelihood approach. This algorithm proved key to CONTRAST's success.
  • 2013 Springer
    Rolf Haaker, Werner Konermann (editors).
    Computer-assisted surgery is a growing sub-discipline of orthopaedic surgery. This book offers a comprehensive presentation of scientific work and clinical experience including new technologies like individual templating in unicompartmental and total knee arthoplasty based on computer-assisted design technology. Computer-assisted surgery involves not only total knee and total hip arthroplasty, but also trauma, sports and revision surgery. In this edition we have added sections on 3D fluoroscopy-based spinal surgery as well as 3D fluoroscopy-based trauma surgery. Even in total hip surgery, navigation systems offer exciting new aspects, and the clinical benefit of navigation in total knee arthroplasties has now been demonstrated. We believe that this textbook will be of interest to those new to this specific field, while also providing an update for experienced users. An added benefit is the international character of this textbook, including experiences from Switzerland, Israel, the United States and the German-speaking countries.
  • 2012 Springer
    Morris F. Collen.
  • pt. A-B, C, 2009, 2011. ScienceDirect
    pt. B, 2009 ScienceDirect
    pt. C, 2011 ScienceDirect
    edited by Michael L. Johnson, Ludwig Brand.
  • 2014 WortdScientific
    editor, C H Chen.
    The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs.
  • 2016 Springer
    edited by Lucas E. Ritacco, Federico E. Milano, Edmund Chao.
    Part 1. Preoperative Planning -- 1. Virtual Preoperative Planning -- 2. Computerized Tools: Allograft Selection -- 3. Computer Guided Navigation and Pre-Operative Planning for Arthroscopic Hip Surgery -- 4. Virtual Cranio-Maxillofacial Surgery Planning with Stereo Graphics and Haptics -- 5. Computational Image-guided Technologies in Cranio-maxillofacial Soft Tissue Planning and Simulation -- Part 2. Surgical Navigation -- 6. Introduction to Surgical Navigation -- 7. Bone Tumor Navigation in the Pelvis -- 8. Bone Tumor Navigation in Limbs -- 9. Direct navigation of surgical instrumentation -- 10. Navigation in Spinal Surgery -- 11. Local Tumor Ablation using Computer-Assisted Planning and Execution -- Part 3. Custom Implants -- 12. Patient-specific Instruments in Orthopaedics -- 13. Custom Implants -- 14. Patient's Specific Template for Spine Surgery -- Part 4. Robotics -- 15. The Use of ROBODOC in Total Hip and Knee Arthroplasty -- 16. A comparative study for touchless telerobotic surgery -- Part 5. Validation in computer-assisted surgical workflows -- 17. Accuracy and precision in computer-assisted methods in orthopaedic surgery.- 18. Spinal Loading System: A Novel Technique for Assessing Spinal Flexibility in Adolescent Idiopathic Scoliosis -- Part 6. Emerging Trends -- 19. Computer simulation surgery for deformity correction of the upper extremity -- 20. 3D projection-based navigation.
  • 2008 Springer
    Seongil Lee, Hyunseung Choo, Sungdo Ha, In Chul Shin, editors.
  • 2008 Springer
    Klaus Miesenberger, Joachim Klaus, Wolfgang Zagler, Arthur Karshmer, editors.
  • 2005 CRCnetBASE
    Fionn Murtagh ; foreword by J.-P. Benzcri.
  • Springer
    Mark E. Gerow.
  • 2013 ClinicalKey
    Mayur K. Movalia.
    With its focused review of common cases, high-yield content, and test prep strategies, Dr. Mayur K. Movalia's new review book offers the most effective preparation available for this high-stakes exam. Zero in on the content you need to know, thanks to a concise, consistent presentation for each case that is updated to mirror the 2013 USMLET software. Find the information you need quickly with a detailed index that organizes cases by symptom, final diagnosis, and specialty. Get up-to-date management strategies for CCS cases, thanks to input from a Resident Review Board comprised of high-scoring individuals (90th percentile or more), who evaluated the book to ensure its relevance and accuracy. Use it in conjunction with Brochert's Crush Step 3: The Ultimate USMLE Step 3 Review, 4th Edition for a comprehensive and highly effective Step 3 review. Get a 24-hour free trial to the USMLE Consult Step 3 CCS Case Bank, with a discount towards its purchase! 100 CCS cases simulate the actual USMLE Step 3 CCS experience.
  • 2011
    Siddhartha Chaudhuri.
    Creating detailed three-dimensional shapes on the computer is hard. The standard tools for the task are complex and require long training and familiarization. As a result, 3D modeling is typically the domain of the professional artist and not the casual user. Professionals invest the time to master their tools, but such tools are usually restricted to low-level sculpting operations. High-level reasoning and geometric manipulation, of which computers are well capable, are not used to help the artist reach her goals more efficiently or creatively. In this dissertation, I propose techniques by which computers, endowed with a greater understanding of the structure of shapes, can both support the creative pursuits of professionals, as well as significantly ease the burden of 3D modeling for the casual user. To this end, I describe methods for generating "suggestions" during the 3D modeling process: component shapes that may be directly used to augment the currently-modeled shape, or to inspire directions for its further development. These suggestions are drawn from a large library of previously-modeled shapes. Also, I discuss the construction of an assembly-based modeling tool that enables casual users to rapidly construct shapes from suggested components, with minimal training. Experiments with both professional and casual users suggest that this approach successfully supports rapid, creative 3D modeling.
  • 2008 CRCnetBASE
    edited by Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg.
    An approach to analyzing and modeling systems for real-time decisions / John C. Brocklebank ... [et al.] -- Ensemble strategies for neural network classifiers / Paul Mangiameli and David West -- Neural network classification with uneven misclassification costs and imbalanced group sizes / Jyhshyan Lan ... [et al.] -- Data cleansing with independent component analysis / Guangyin Zeng and Mark J. Embrechts -- A multiple criteria approach to creating good teams over time / Ronald K. Klimberg, Kevin J. Boyle, and Ira Yermish -- Data mining applications in higher education / Cali M. Davis ... [et al.] -- Data mining for market segmentation with market share data : a case study approach / Illya Mowerman and Scott J. Lloyd -- An enhancement of the pocket algorithm with ratchet for use in data mining applications / Louis W. Glorfeld and Doug White -- Identification and prediction of chronic conditions for health plan members using data mining techniques / Theodore L. Perry, Stephan Kudyba, and Kenneth D. Lawrence -- Monitoring and managing data and process quality using data mining : business process management for the purchasing and accounts payable processes / Daniel E. O'Leary -- Data mining for individual consumer models and personalized retail promotions / Rayid Ghani ... [et al.] -- Data mining : common definitions, applications, and misunderstandings / Richard D. Pollack -- Fuzzy sets in data mining and ordinal classification / David L. Olson, Helen Moshkovich, and Alexander Mechitov -- Developing an associative keyword space of the data mining literature through latent semantic analysis / Adrian Gardiner -- A classification model for a two-class (new product purchase) discrimination process using multiple-criteria linear programming / Kenneth D. Lawrence ... [et al.].
  • 2011 CRCnetBASE
    Luís Torgo.
    "This hands-on book uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, it covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The main data mining processes and techniques are presented through detailed, real-world case studies. With these case studies, the author supplies all necessary steps, code, and data. Mirroring the do-it-yourself approach of the text, the supporting website provides data sets and R code" -- Provided by publisher.
  • 2011 Springer
    Graham Williams.
    Part 1. Explorations -- Introduction -- Getting Started -- Working with Data -- Loading Data -- Exploring Data -- Interactive Graphics -- Transforming Data -- Part 2. Building Models -- Descriptive and Predictive Analytics -- Cluster Analysis -- Association Analysis -- Decision Trees -- Random Forests -- Boosting -- Support Vector Machines -- Part 3. Delivering Performance -- Model Performance Evaluation -- Deployment -- Part 4. Appendices -- Installing Rattle -- Sample Datasets.
  • 2011 CRCnetBASE
    Stephen M. Tobin.
    1. DC servo systems defined -- 2. Anatomy of a continuous-time DC servo -- 3. DC motors in servo systems -- 4. Feedback control systems -- 5. Proportional control of a second-order DC servo -- 6. Compensation of a continuous-time DC servo -- 7. DC servo amplifiers and shaft encoders -- 8. Control of a position servo using a PIC microcontroller.
  • 1970-71.
    principal investigators, J.W. Bellville, G.F. Franklin.
    Status: Not Checked OutLane Catalog Record
  • 2002 ScienceDirect
    Tom Brink, Darren Gergle, Scott D. Wood.
  • 2014 Springer
    Ronald Gieschke, Daniel Serafin.
    The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens?
  • 2009 Springer
    Nancy B. Finn, William F. Bria.
  • 2015
    Robert Wachter.
    For the past few decades, technology has been touted as the cure for all of healthcare's ills, yet medicine stubbornly resisted computerization-- until now. Thanks largely to billions of dollars in federal incentives, healthcare has finally gone digital. Wachter examines healthcare at the dawn of its computer age, and shows how technology is changing care at the bedside. He questions whether government intervention has been useful or destructive-- and does so with clarity, insight, humor, and compassion.
  • 2005 CRCnetBASE
    edited by Todd R. Reed.
  • 2013 Springer
    Luís Lanca, Augusto Silva.
  • 2011
    Suchi Saria.
    The current unprecedented rate of digitization of longitudinal health data --- continuous device monitoring data, laboratory measurements, medication orders, treatment reports, reports of physician assessments --- allows visibility into patient health at increasing levels of detail. A clearer lens into this data could help improve decision making both for individual physicians on the front lines of care, and for policy makers setting national direction. However, this type of data is high-dimensional (an infant with no prior clinical history can have more than 1000 different measurements in the ICU), highly unstructured (the measurements occur irregularly, and different numbers and types of measurements are taken for different patients) and heterogeneous (from ultrasound assessments to lab tests to continuous monitor data). Furthermore, the data is often sparse, systematically not present, and the underlying system is non-stationary. Extracting the full value of the existing data requires novel approaches. In this thesis, we develop novel methods to show how longitudinal health data contained in Electronic Health Records (EHRs) can be harnessed for making novel clinical discoveries. For this, one requires access to patient outcome data --- which patient has which complications. We present a method for automated extraction of patient outcomes from EHR data; our method shows how natural languages cues from the physicians notes can be combined with clinical events that occur during a patient's length of stay in the hospital to extract significantly higher quality annotations than previous state-of-the-art systems. We develop novel methods for exploratory analysis and structure discovery in bedside monitor data. This data forms the bulk of the data collected on any patient yet, it is not utilized in any substantive way post collection. We present methods to discover recurring shape and dynamic signatures in this data. While we primarily focus on clinical time series, our methods also generalize to other continuous-valued time series data. Our analysis of the bedside monitor data led us to a novel use of this data for risk prediction in infants. Using features automatically extracted from physiologic signals collected in the first 3 hours of life, we develop Physiscore, a tool that predicts infants at risk for major complications downstream. Physiscore is both fully automated and significantly more accurate than the current standard of care. It can be used for resource optimization within a NICU, managing infant transport to a higher level of care and parental counseling. Overall, this thesis illustrates how the use of machine learning for analyzing these large scale digital patient data repositories can yield new clinical discoveries and potentially useful tools for improving patient care.
  • 2005 Wiley
    Kaluri Venkata Rangarao, Ranjan Mallik.
    Chapter 1. Processing of Signals, p. 1-20 -- Chapter 2. Revisiting the Basics, p. 21-44 -- Chapter 3. Digital Filters, p. 45-78 -- Chapter 4. Fourier Transform and Signal Spectrum, p. 79-100 -- Chapter 5. Realisation of Digital Filters, p. 101-119 -- Chapter 6. Case Studies, p. 121-128 -- Appendix. MATLAB and C Programs, p. 129-185.
  • 2005 CRCnetBASE
    B. Preetham Kumar.
  • 2007 Springer
    Werner Dubitzky, Assaf Schuster, Peter M.A. Sloot, Michael Schroeder, Mathilde Romberg (eds.).
  • 2011 ProQuest Safari
    John K. Kruschke.
    This book's organization : read me first! -- Introduction : models we believe in -- What is this stuff called probability? -- Bayes' rule -- Inferring a binomial proportion via exact mathematical analysis -- Inferring a binomial proportion via grid approximation -- Inferring a binomial proportion via the Metropolis algorithm -- Inferring two binomial proportions via Gibbs sampling -- Bernoulli likelihood with hierarchical prior -- Hierarchical modeling and model comparison -- Null hypothesis significance testing -- Bayesian approaches to testing a point ("null") hypothesis -- Goals, power, and sample size -- Overview of the generalized linear model -- Metric predicted variable on a single group -- Metric predicted variable with one metric predictor -- Metric predicted variable with multiple metric predictors -- Metric predicted variable with one nominal predictor -- Metric predicted variable with multiple nominal predictors -- Dichotomous predicted variable -- Ordinal predicted variable -- Contingency table analysis -- Tools in the trunk.
  • 2008 ProQuest Safari
    Joshua Bloch.
    Introduction -- Creating and destroying objects -- Methods common to all objects -- Classes and interfaces -- Generics -- Enums and annotations -- Methods -- General programming -- Exceptions -- Concurrency -- Serialization.
  • 2014 CRCnetBASE
    edited by Dean F. Sittig, PhD.
    Part 1. Introduction -- part 2. Identifying and preventing EHR safety concerns -- part 3. EHR users and usability -- part 4. Clinical decision support -- part 5. Referrals -- part 6. Laboratory test result management -- part 7. Bar coded medication administration -- part 8. Computer-based provider order entry.
  • 2007 Springer
    edited by M.Y. Kao.
  • 2003 ScienceDirect
    editor-in-chief, Hossein Bidgoli.
  • 2013 Wiley
    edited by Kirsty Forrest, Judy McKimm, Simon Edgar.
    Essential simulation in clinical education / Judy McKimm and Kirsty Forrest -- Medical simulation : the journey so far / Aidan Byrne -- The evidence what works, why and how? / Doris Ostergaard and Jacob Rosenberg -- Pedagogy in simulation-based training in health care / Peter Dieckmann and Charlotte Ringsted -- Assessment / Thomas Gale and Martin Roberts -- The roles of faculty and simulated patients in simulation / Bryn Baxendale, Frank Coffey, and Andrew Buttery -- Surgical technical skills / Rajesh Aggarwal and Amit Mishra -- The non-technical skills / Nikki Maran, Simon Edgar, and Alistair May -- Teamwork / Jennifer Weller -- Designing effective simulation activities / Joanne Barrott ... [et al.] -- Distributed simulation / Jessica Janice Tang ... [et al.] -- Providing effective simulation activities / Walter J Eppich, Lanty O'Connor, and Mark Adler -- Simulation in practice / edited by Jean Keri -- The future for simulation.
  • 2013
    by Kevin Pho and Susan Gay.
    Status: Not Checked OutLane Catalog Record
  • 2007 ProQuest Safari
    John Walkenbach.
    Getting Started with Excel -- Introducing Excel -- What's New in Excel 2007? -- Entering and Editing Worksheet Data -- Essential Worksheet Operations -- Working with Cells and Ranges -- Introducing tables -- Worksheet Formatting -- Understanding Excel's Files -- Using and Creating Templates -- Printing Your Work -- Working with Formulas and Functions -- Introducing Formulas and Functions -- Creating Formulas and Functions -- Creating Formulas That Manipulate Text -- Working with Dates and Times -- Creating Formulas That Count and Sum -- Creating Formulas That Look Up Values -- Creating Formulas for Financial Applications -- Introducing Array Formulas -- Performing Magic with Array Formulas -- Creating Charts and Graphics -- Getting Started Making Charts -- Learning Advanced Charting -- Visualizing Data Using Conditional Formatting -- Enhancing Your Work with Pictures and Drawings -- Using Advanced Excel Features -- Customizing the Quick Access Toolbar -- Using Custom Number Formats -- Using Data Validation -- Creating and Using Worksheet Outlines -- Linking and Consolidating Worksheets -- Excel and the Internet -- Sharing Data with Other Applications -- Using Excel in a Workgroup -- Protecting Your Work -- Making Your Worksheets Error-Free -- Analyzing Data with Excel -- Using Microsoft Query with External Database Files -- Introducing Pivot Tables -- Analyzing Data with Pivot Tables -- Performing Spreadsheet What-If Analysis -- Analyzing Data Using Goal Seek and Solver -- Analyzing Data with the Analysis Tookpak -- Programming Excel with VBA -- Introducing Visual Basic for Applications -- Creating Custom Worksheet Functions -- Creating UserForms -- Using UserForm Controls in a Worksheet -- Working with Excel Events -- VGA Examples -- Creating Custom Excel Add-Ins -- Worksheet Function Reference -- What's on the CD-ROM -- Additional Excel Resources -- Excel Shortcut Keys.
    Also available: Print – 2007
  • 2007 ProQuest Safari
    David and Raina Hawley.
    Reducing workbook and worksheet frustration -- Hacking Excel's built-in features -- Naming hacks -- Hacking PivotTables -- Hacking formulas and functions -- Macro hacks -- Cross-application hacks.
  • 2002 ScienceDirect
    edited by Cornelius T. Leondes.
  • 2003 Wiley
    Tamraparni Dasu, Theorodre Johnson.
  • 2011 CRCnetBASE
    François Husson, Sébastien Lê, Jérôme Pagès.
    "An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors"-- Provided by publisher.
  • 2003 CRCnetBASE
    Hung T. Nguyen ... [et al.].
  • 2012 Springer
    Anthony G. Gallagher, Gerald C. O'Sullivan.
    Agents of Change -- Simulations for Procedural Training -- Human Factors in Acquiring Medical Skill; Perception and Cognition -- Human Factors in Acquiring Medical Skills; Learning and Skill Acquisition in Surgery -- Metrics for the Measurement of Skill -- Metric-Based Simulation Training -- Validation of Metrics Coupled to Simulation Training -- Metric-Based Training to Proficiency: What Is It and How Is It Done? -- Didactic Education and Training for Improved Intraoperative Performance: e-Learning Comes of Age -- Simulation Training for Improved Procedural Performance -- Simulation In and For Medicine: Where Next? -- Proficiency-Based Progression Simulation Training: A To-Do List for Medicine.
  • 2007 Springer
    Rudolf Seising.
  • 2005 Wiley
    William Siler, James J. Buckley.
  • 2008 Springer
    Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcazar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino, editors.
  • 2009 Springer
    Hadley Wickham.
    Describes ggplot2, a data visualization package for R and a powerful and flexible system for creating data graphics.
  • 2007
    Jerri Ledford and Mary E. Tyler.
    Status: Not Checked OutLane Catalog Record
  • Click LINK above for Print location/circulation status.
    2003 CRCnetBASE
    Patrick Marchand, O. Thomas Holland.
  • 2006 ebrary
    Brian R. Hunt, Ronald L. Lipsman, Jonathan M. Rosenberg, with Kevin R. Coombes, John E. Osborn, and Garrett J. Stuck.
    Also available: Print – 2006
  • 2007 CRCnetBASE
    Andy H. Register.
  • 2016 Springer
    Nils Lindefors, Gerhard Andersson, editors.
    Introduction (including definitions and history) -- Depression -- Panic disorder and agoraphobia -- Social anxiety disorder -- Specific phobia -- Generalised anxiety disorder -- Obsessive-compulsive disorder -- PTSD -- Insomnia -- Health anxiety (Illness anxiety disorder) -- Eating disorders- Substance abuse -- Pathological gambling -- ICBT with children and adolescents -- ICBT with older people -- Future directions and new technologies.
  • 2007 CRCnetBASE
    edited by Teofilo F. Gonzalez.
  • 2001 ScienceDirect
    editors, Alan Robinson and Andrei Voronkov.
  • Click LINK above for Print location/circulation status.
    2005 CRCnetBASE
    edited by Dinesh P. Mehta and Sartaj Sahni.
  • Click LINK above for Print location/circulation status.
    2002 CRCnetBASE
    Brian W. Keelan ; with contributions by Robert E. Cookingham ... [et al.].
  • 1997 CRCnetBASE
    editors in chief, Emile Fiesler and Russell Beale.
  • 2002 CRCnetBASE
    edited by Yu Hen Hu, Jenq-Neng Hwang.
  • 2013 CRCnetBASE
    Arthur Li.
  • 2010 CRCnetBASE
    Brian S. Everitt and Torsten Hothorn.
    An introduction to R -- Data analysis using graphical displays -- Simple inference -- Conditional inference -- Analysis of variance -- Simple and multiple linear regression -- Logistic repression and generalised linear models -- Density estimation -- Recursive partitioning -- Smoothers and generalised additive models -- Survival analysis -- Analysing longitudinal data I -- Analysing longitudinal data II -- Simultaneous inference and multiple comparisons -- Meta-analysis -- Principal component analysis -- Multidimensional scaling -- Cluster analysis.
  • 2005 ScienceDirect
    edited by M. Fisher, D. Gabbay, L. Vila.
    Formal theories of time and temporal incidence / Lluis Vila -- Eventualities / Antony Galton -- Time granularity / Jérôme Euzenat and Angelo Montanari -- Modal varieties of temporal logic / Howard Barringer and Dov Gabbay -- Temporal qualification in artificial intelligence / Han Reichgelt and Lluis Vila -- Computational complexity of temporal constraint problems / Thomas Drakengren and Peter Jonsson -- Indefinite constraint databases with temporal information : representational power and computational complexity / Manolis Koubarakis -- Processing qualitative temporal constraints / Alfonso Gerevini -- Theorem-proving for discrete temporal logic / Mark Reynolds and Clare Dixon -- Probabilistic temporal reasoning / Steve Hanks and David Madigan -- Temporal reasoning with iff-abduction / Marc Denecker and Kristof Van Belleghem -- Temporal description logics / Alessandro Artale and Enrico Franconi -- Logic programming and reasoning about actions / Chitta Baral and Michael Gelfond -- Temporal databases / Jan Chomicki and David Toman -- Temporal reasoning in agent-based systems / Michael Fisher and Michael Wooldridge -- Time in planning / Maria Fox and Derek Long -- Time in automated legal reasoning / Lluis Vila and Hajime Yoshino -- Temporal reasoning in natural language / Alice ter Meulen -- Temporal reasoning in medicine / Elpida Keravnou and Yuval Shahar -- Time in qualitative simulation / Dan Clancy and Benjamin Kuipers.
  • Click LINK above for Print location/circulation status.
    2006 CRCnetBASE
    Robert Ho.
  • 2005 Springer
    Scott M. Strayer, Peter L. Reynolds, Mark H. Ebell, editors.
    Also available: Print – 2005
  • 2008 Springer
    Manuel Ferre (ed.).
  • 2008 ProQuest Safari
    by Baron Schwartz ... [et al.].
    Also available: Print – 2008
  • 2012 ProQuest Safari
    Baron Schwartz, Peter Zaitsev, Vadim Tkachenko.
    MySQL architecture and history -- Benchmarking MySQL -- Profiling server performance -- Optimizing schema and data types -- Indexing for high performance -- Query performance optimization -- Advanced MySQL features -- Optimizing server settings -- Operating system and hardware optimization -- Replication -- Scaling MySQL -- High availability -- MySQL in the cloud -- Application-level optimization -- Backup and recovery -- Tools for MySQL users -- Forks and variants of MySQL -- MySQL server status -- Transferring large files -- Using EXPLAIN -- Debugging locks -- Using Sphinx with MySQL.
  • 2002 ProQuest Safari
    Bill Kennedy, Chuck Musciano.
    HTML, XHTML, and the World Wide Web -- Quick start -- Anatomy of an HTML document -- Text basics -- Rules, images, and multimedia -- Links and webs -- Formatted lists -- Cascading style sheets -- Forms -- Tables -- Frames -- Executable content -- Dynamic documents -- Netscape layout extensions -- XML -- XHTML -- Tips, tricks, and hacks.
  • 2002 ProQuest Safari
    David Gourley and Brian Totty.
  • 2008 CRCnetBASE
    edited by Andrew Sears and Julie A. Jacko.
    pt. 1. Humans in HCI -- pt. 2. Computers in HCI -- pt. 3. Designing human-computer interactions -- pt. 4. Application/domain specific design -- pt. 5. Designing for diversity -- pt. 6. The development process.
  • 2014 CRCnetBASE
    edited by E.Y.K. Ng, U. Rajendra Acharya, Aurélio Campilho, Jasjit S. Suri.
    "The human eye is a complex and important organ that works similarly to the conventional camera. Many advanced image-processing algorithms have been proposed to analyze the subtle changes in the eye to diagnose eye abnormalities efficiently. Digital fundus images have been used efficiently for the diagnosis of diabetes retinopathy and glaucoma. Infrared imaging provides a temperature profile that depicts changes in the vascular tissues, which helps to study the ocular surface temperature (OST) and ocular diseases like dry eye and cataracts. This book covers the detection of diabetes retinopathy, glaucoma, and anterior segment eye abnormalities; instruments for the detection of glaucoma; and the development of a human eye model using computational fluid dynamics and heat transfer principles to predict inner temperatures of the eye from its surface temperature. Ultrasound biomicroscopy (UBM) is one of the imaging systems that allow visualization of the anatomy and pathology of the anterior segment. It is particularly beneficial in evaluating regions of the eye behind the iris such as the ciliary body, lens zonular attachment, and lens periphery, which are obscured in other anterior scanning systems. In glaucoma imaging, UBM plays a significant role in objective assessment of peripheral anterior chamber angle morphology, which is useful in angle closure glaucoma diagnosis and management. Chapter 1 presents a UBM system for anterior chamber angle imaging. Chapter 2 describes both the formal design and development of an automated anterior segment eye disease classification system. The proposed system can be used for early disease diagnosis and treatment management"-- Provided by publisher.
  • 2006
    Ilias G. Maglogiannis, Kostas Karpouzis, Manolis Wallace.
    E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields of image and signal processing for networked and distributed e-health applications and their supporting technologies. The book is structured in 10 chapters, starting the discussion from the lower end, that of acquisition and processing of biosignals and medical images and ending in complex virtual reality systems and techniques providing more intuitive interaction in a networked medical environment. The book also discusses networked clinical decision support systems and corresponding medical standards, WWW-based applications, medical collaborative platforms, wireless networking, and the concepts of ambient intelligence and pervasive computing in electronic healthcare systems.
  • 2002 CRCnetBASE
    John C. Russ.
    This essential resource covers binary image processing, color images, depth resolution, image interpretation problems, thresholding multiband images, among many other areas of image analysis and processing.
  • Click LINK above for Print location/circulation status.
    2002 CRCnetBASE
    edited by Bahram Javidi.
  • 2005 Springer
    James M. Walker, Eric J. Bieber, Frank Richards, editors ; with the collaboration of Sandra A. Buckley.
    Organizational climate -- Needs assessment -- Vendor selection and contract negotiation -- Infrastructure -- Workflow assessment and redesign -- Staffing and managing implementation teams -- Usability -- Training -- Clinical decision support -- Translating scope of practice into effective EHR workflows -- System integration -- Production support -- Managing the client-vendor partnership -- Phased implementation -- Optimizing primary-care practices -- Special-purpose software -- Optimizing inpatient care -- Extending EHR access to patients -- Extending EHR access to external physicians -- Summary and prospects.
  • 2008 CRCnetBASE
    Azad Adam.
  • 2008 Springer
    edited by Maristella Agosti.
  • 2007 Springer
    Teddy Furon, Francois Cayre, Gwenael Doerr, Patrick Bas, editors.
  • 2001 ScienceDirect
    Terry Halpin.
  • 2002 CRCnetBASE
    Thomas R. Peltier.
  • 2008 Springer
    Andreas Kerren ... (ed.).
  • 2002 Wiley
    Steve Mann.
    ch. 1. Humanistic Intelligence as a Basis for Intelligent Image Processing, p. 1-14 -- ch. 2. Where on the Body is the Best Place for a Personal Imaging System?, p. 15-63 -- ch. 3. The EyeTap Principle: Effectively Locating the Camera Inside the Eye as an Alternative to Wearable Camera Systems, p. 64-102 -- ch. 4. Comparametric Equations, Quantigraphic Image Processing, and Comparagraphic Rendering, p. 103-178 -- ch. 5. Lightspace and Antihomomorphic Vector Spaces, p. 179-232 -- ch. 6. VideoOrbits: The Projective Geometry Renaissance, p. 233-294 -- Appendix A. Safety First! (page 295 -- Appendix B. Multiambic Keyer for Use While Engaged in Other Activities, p. 296-318 -- Appendix C. WearCam GNUX Howto, p. 319-324 -- Appendix D. How to Build a Covert Computer Imaging System into Ordinary Looking Sunglasses, p. 325-331.
  • 2003 ScienceDirect
    edited by Bernadette Bouchon-Meunier, Laurent Foulloy, Ronald R. Yager.
  • 2006 ProQuest Safari
    Randal L. Schwartz, Brian D. Foy, and Tom Phoenix.
    Also available: Print – 2006
  • 2009 CRCnetBASE
    Owen Jones, Robert Maillardet and Andrew Robinson.
    I. Programming. Setting up -- R as a calculating environment -- Basic programming -- I/O: input and output -- Programming with functions -- Sophisticated data structures -- Better graphics -- Pointers to further programming techniques -- II. Numerical techniques. Numerical accuracy and program efficiency -- Root-finding -- Numerical integration -- Optimisation -- III. Probability and statistics. Probability -- Random variables-- Discrete random variables -- Continuous random variables -- Parameter estimation -- IV. Simulation -- Monte-Carlo integration -- Variance reduction -- Cases studies -- Student projects -- Glossary of R commands -- Programs and functions developed in the text.
  • 2002 ebrary
    Peter Dalgaard.
    Also available: Print – 2002
  • 2011 ProQuest Safari
    J.D. Biersdorfer.
    Looks at the features and functions of the iPad2, covering such topics as accessing the Internet, setting up an email account, using built-in apps, playing games, using iTunes, watching videos, and syncing with MobileMe.
  • 2010 ProQuest Safari
    by Edward C. Baig and Bob LeVitus.
    "Part iPod touch, part MacBook, part eReader, and all amazing, the iPad combines the best of your favorite gadgets into one ultraportable touch device. This handy guide helps you make the most of your iPad. From sending e-mail and surfing the Web to playing games, watching videos, downloading cool apps and more, the fun begins right here"--P. [4] of cover.
  • 2010 ProQuest Safari
    Martin Trautschold and Gary Mazo.
    Pt. I. Quick start guide -- pt. II. Introduction -- pt. 3. You and your iPad. Getting started -- Typing tips, copy/paste & search -- Sync your iPad with iTunes -- WiFi and 3G connections -- Moving, docking, and deletingicons -- Personalize and secure your iPad -- Playing music -- iBooks and E-books -- Viewing videos, tv shows, & more -- Bluetooth on the iPad -- Surf the web with Safari -- E-mail -- Working with contacts -- Your calendar -- Working with photos -- Maps -- Eliminate your paper notes -- iWork : productivity on your iPad -- iTunes on your iPad -- Amazing App Store -- Games and fun -- Social networking -- New media : reading newspapers, magazines, and more -- Other sync methods -- Troubleshooting -- pt. IV. iPad's soulmate : iTunes. Your iTunes user guide.
  • 2010 ProQuest Safari
    J.D. Biersdorfer.
    Looks at the features and functions of the iPad, covering such topics as using Safari, setting up an email account, using built-in apps, playing games, using iTunes, watching videos, syncing with MobileMe.
  • 2002 ProQuest Safari
    David Flanagan.
    Introduction to JavaScript -- Core JavaScript -- Client-side JavaScript -- Core JavaScript reference -- Client-side JavaScript reference -- W3C DOM reference -- Class, property, method, and event handler index.
  • 2012 CRCnetBASE
    Dimitris Rizopoulos.
    "Preface Joint models for longitudinal and time-to-event data have become a valuable tool in the analysis of follow-up data. These models are applicable mainly in two settings: First, when focus is in the survival outcome and we wish to account for the effect of an endogenous time-dependent covariate measured with error, and second, when focus is in the longitudinal outcome and we wish to correct for nonrandom dropout. Due to their capability to provide valid inferences in settings where simpler statistical tools fail to do so, and their wide range of applications, the last 25 years have seen many advances in the joint modeling field. Even though interest and developments in joint models have been widespread, information about them has been equally scattered in articles, presenting recent advances in the field, and in book chapters in a few texts dedicated either to longitudinal or survival data analysis. However, no single monograph or text dedicated to this type of models seems to be available. The purpose in writing this book, therefore, is to provide an overview of the theory and application of joint models for longitudinal and survival data. In the literature two main frameworks have been proposed, namely the random effects joint model that uses latent variables to capture the associations between the two outcomes (Tsiatis and Davidian, 2004), and the marginal structural joint models based on G estimators (Robins et al., 1999, 2000). In this book we focus in the former. Both subfields of joint modeling, i.e., handling of endogenous time-varying covariates and nonrandom dropout, are equally covered and presented in real datasets"-- Provided by publisher.
  • 2001 CRCnetBASE
    Rick Bitter, Taqi Mohiuddin, Matt Nawrocki.
  • 2008 Springer
    Deepayan Sarkar.
  • Click LINK above for Print location/circulation status.
    2006 ProQuest Safari
    Seyed M.M. "Saied" Tahaghoghi and Hugh E. Williams.
  • Click LINK above for Print location/circulation status.
    2008 ProQuest Safari
    Randal L. Schwartz, Tom Phoenix, and Brian D. Foy.
  • 2007 ProQuest Safari
    by Michele E. Davis and Jon A. Phillips.
  • 2007 ProQuest Safari
    Mark Lutz.
  • 2007 ProQuest Safari
    Michael Fitzgerald.
  • 2005 ProQuest Safari
    Alan Beaulieu.
  • 2005 ProQuest Safari
    Cameron Newham.
  • 2002 ProQuest Safari
    Arnold Robbins and Bill Rosenblatt.
  • 2002 ProQuest Safari
    Jerry Peek, John Strang, Grace Todino-Gonguet.
  • 2003 ProQuest Safari
    Jesse Liberty.
    Visual Basic.NET and .NET programming -- Getting started with VB.NET -- Object-oriented programming -- Visual studio .NET -- VB.NET language fundamentals -- Branching -- Operators -- Classes and objects -- Inside methods -- Basic debugging -- Inheritance and polymorphism -- Structures -- Interfaces -- Arrays -- Collection interfaces and types -- Strings -- Throwing and catching exceptions - Applications and events -- Afterword.
  • 2003 ProQuest Safari
    Erik T. Ray.
  • 2005 ProQuest Safari
    Ellen Siever ... [et al.].
  • 2008
    Succinct guide for Windows users migrating to the Mac.
  • 2005 ProQuest Safari
    David Pogue.
  • 2005 ProQuest Safari
    Brian Jepson and Ernest E. Rothman.
  • 2012 ProQuest Safari
    Drew Conway and John Myles White.
    Machine generated contents note: -- 1. Using R -- R for Machine Learning -- Downloading and Installing R -- IDEs and Text Editors -- Loading and Installing R Packages -- R Basics for Machine Learning -- Further Reading on R -- 2. Data Exploration -- Exploration versus Confirmation -- What Is Data? -- Inferring the Types of Columns in Your Data -- Inferring Meaning -- Numeric Summaries -- Means, Medians, and Modes -- Quantiles -- Standard Deviations and Variances -- Exploratory Data Visualization -- Visualizing the Relationships Between Columns -- 3. Classification: Spam Filtering -- This or That: Binary Classification -- Moving Gently into Conditional Probability -- Writing Our First Bayesian Spam Classifier -- Defining the Classifier and Testing It with Hard Ham -- Testing the Classifier Against All Email Types -- Improving the Results -- 4. Ranking: Priority Inbox -- How Do You Sort Something When You Don't Know the Order? -- Ordering Email Messages by Priority -- Contents note continued: Priority Features of Email -- Writing a Priority Inbox -- Functions for Extracting the Feature Set -- Creating a Weighting Scheme for Ranking -- Weighting from Email Thread Activity -- Training and Testing the Ranker -- 5. Regression: Predicting Page Views -- Introducing Regression -- The Baseline Model -- Regression Using Dummy Variables -- Linear Regression in a Nutshell -- Predicting Web Traffic -- Defining Correlation -- 6. Regularization: Text Regression -- Nonlinear Relationships Between Columns: Beyond Straight Lines -- Introducing Polynomial Regression -- Methods for Preventing Overfitting -- Preventing Overfitting with Regularization -- Text Regression -- Logistic Regression to the Rescue -- 7. Optimization: Breaking Codes -- Introduction to Optimization -- Ridge Regression -- Code Breaking as Optimization -- 8. PCA: Building a Market Index -- Unsupervised Learning -- 9. MDS: Visually Exploring US Senator Similarity -- Contents note continued: Clustering Based on Similarity -- A Brief Introduction to Distance Metrics and Multidirectional Scaling -- How Do US Senators Cluster? -- Analyzing US Senator Roll Call Data (101st--111th Congresses) -- 10. kNN: Recommendation Systems -- The k-Nearest Neighbors Algorithm -- R Package Installation Data -- 11. Analyzing Social Graphs -- Social Network Analysis -- Thinking Graphically -- Hacking Twitter Social Graph Data -- Working with the Google SocialGraph API -- Analyzing Twitter Networks -- Local Community Structure -- Visualizing the Clustered Twitter Network with Gephi -- Building Your Own "Who to Follow" Engine -- 12. Model Comparison -- SVMs: The Support Vector Machine -- Comparing Algorithms.
  • 2015 Springer
    Issam El Naqa, Ruijiang Li, Martin J. Murphy, editors.
    This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
  • 2005 Springer
    by Christoph Rasche.
    1 Seeing: blazing processing characteristics -- 2 Category representation and recognition evolvement -- 3 Neuroscientific inspiration -- 4 Neuromorphic tools -- 5 Insight from line drawings studies -- 6 Retina circuits signaling and propagating contours -- 7 The symmetric-axis transform -- 8 Motion detection -- 9 Neuromorphic architectures: pieces and proposals -- 10 Shape recognition with contour propagation fields -- 11 Scene recognition -- 12 Summary -- Terminology -- References -- Index.
  • Click LINK above for Print location/circulation status.
    2007 ProQuest Safari
    by Brian D. Foy.
  • 2003 ProQuest Safari
    James D. Tisdall.
    Also available: Print – 2003
  • 2006 ProQuest Safari
    Jeffrey E.F. Friedl.
    Introduction to regular expressions -- Extended introductory examples -- Overview of regular expression features and flavors -- The mechanics of expression processing -- Practical regex techniques -- Crafting an efficient expression -- Perl -- Java -- .NET -- PHP.
  • 2012 ScienceDirect
    Stormy Attaway.
    MATLAB has become the standard software tool for solving scientific and engineering problems due to its powerful built-in functions and its ability to program. Assuming no knowledge of programming, this book guides the reader through both programming and built-in functions to easily exploit MATLAB's extensive capabilities for tackling engineering problems. The book starts with programming concepts, such as variables, assignments, and selection statements, moves on to loops, and then solves problems using both the programming concept and the power of MATLAB. In-depth coverage is given to input/output, a topic fundamental to many engineering applications. The third edition of MATLAB: A Practical Introduction to Programming and Problem Solving has been updated to reflect the functionality of the current version of MATLAB. It features new and revised end-of-chapter exercises, stronger coverage of loops and vectorizing, and more engineering applications to help the reader learn this software tool in context. Presents programming concepts and MATLAB built-in functions side-by-sideSystematic, step-by-step approach, building on concepts throughout the book, facilitating easier learningSections on common pitfalls and programming guidelines direct students towards best practice.
  • 2013 ScienceDirect
    Stormy Attaway.
    pt. 1. Introduction to programming using MATLAB -- Introduction to Matlab -- Vectors and matrices -- Introduction to MATLAB programming -- Selection statements -- Loop statements and vectorizing code -- MATLAB programs -- String manipulation -- Data structures : cell arrays and structures -- Advanced file input and output -- Advanced functions -- pt. 2. Advanced topics for problem solving with MATLAB -- Advanced plotting techniques -- Basic statistics, sets, sorting, and indexing -- Sights and sounds -- Advanced mathematics.
  • 2009 CRCnetBASE
    Qing-Hua Qin, Hui Wang.
  • 2014 ScienceDirect
    Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam S. Dickey, Nicholas G. Hatsopoulous.
  • 2009 ScienceDirect
    Pascal Wallisch ... [et al.].
  • 2012 Springer
    Mauro Borgo, Alessandro Soranzo, Massimo Grassi.
    Basic operations -- Data handling -- Plotting data -- Start programming -- A better sound -- Create and process images -- Data analysis -- The charm of graphical user interface -- Psychtoolbox : video -- Psychtoolbox : sound, keyboard and mouse.
  • Click LINK above for additional Print location/circulation status.
    2005 CRCnetBASE
    Timothy A. Davis, Kermit Sigmon.
    Also available: Print – 2005
  • 2002 CRCnetBASE
    Kermit Sigmon, Timothy A. Davis.
  • 2015 Springer
    Naakesh A. Dewan, John S. Luo, Nancy M. Lorenzi, editors.
    Past, Present and Future Policy Landscape for Technology in Public Mental Health Care -- Electronic Health Records Technology: Policy and Realities -- Leading Health IT Optimization: A Next Frontier -- Computer aided Psychotherapy Technologies -- Cognitive Assessment and Enhancement Technologies -- Digital platform and technology innovation in treatment of substance use disorders -- Technology and Adolescent Behavioral Health Care -- An Overview of Practicing High Quality Telepsychiatry -- Virtual Reality Technologies -- Social Media Technologies -- Technology Tools supportive of DSM-V: An Overview -- Summary and Look Forward.
  • 2014 CRCnetBASE
    edited by Luis Rueda.
    Microarray Image and Data Analysis: Theory and Practice is a compilation of the latest and greatest microarray image and data analysis methods from the multidisciplinary international research community. Delivering a detailed discussion of the biological aspects and applications of microarrays, the book:Describes the key stages of image processing, gridding, segmentation, compression, quantification, and normalizationFeatures cutting-edge approaches to clustering, biclustering, and the reconstruction of regulatory networksCovers different ty.
  • 2007 ProQuest Safari
    John L. Viescas, Jeff Conrad.
    1. Understanding Microsoft Access -- 2. Building an Access 2007 Desktop Application -- 3. Creating Forms and Reports in a Desktop Application -- 4. Automating an Access Application -- 5. Linking Access and the Web -- 6. After Completing Your Application -- 7. Designing an Access Project -- 8. Articles.
    Also available: Print – 2007
  • 2007 ProQuest Safari
    Jim Boyce, Beth Sheresh, Doug Sheresh.
  • 2007 ProQuest Safari
    Teresa S. Stover.
  • 2007 ProQuest Safari
    Mark H. Walker.
  • 2007 ProQuest Safari
    Peter G. Aitken.
  • 2007 ProQuest Safari
    Faithe Wempen.
  • 2007 ProQuest Safari
    Elaine Marmel.
  • 2007 Springer
    Scot Hillier.
  • 2006 Springer
    Scot P. Hillier.
  • 2007 ProQuest Safari
    Herb Tyson.
  • 2011 CRCnetBASE
    [edited by] David Lo, Siau-Cheng Khoo, Jiawei Han, Chao Liu.
    1. Specification mining : a concise introduction / David Lo ... [et al.] -- 2. Mining finite-state automata with annotations / Leonardo Mariani ... [et al.] -- 3. Adapting grammar inference techniques to mine state machines / Neil Walkinshaw and Kirill Bogdanov -- 4. Mining API usage protocols from large methods traces / Michael Pradel and Thomas R. Gross -- 5. Static API specification mining : exploiting source code model checking / Mithun Acharya and Tao Xie -- 6. Static specification mining using automata-based abstractions / Eran Yahav ... [et al.] -- 7. DynaMine : finding usage patterns and their violations by mining software repositories / Benjamin Livshits and Thomas Zimmermann -- 8. Automatic inference and effective application of temporal specifications / Jinlin Yang and David Evans -- 9. Path-aware static program analyses for specification mining / Muralikrishna Ramanathan, Ananth Grama, and Suresh Jagannathan -- 10. Mining API usage specifications via searching source code from the Web / Suresh Thummalapenta, Tao Xie, and Madhuri R. Marri -- 11. Merlin : specification inference for explicit information flow problems / Benjamin Livshits ... [et al.] -- 12. Lightweight mining of object usage / Andrzej Wasylkowski and Andreas Zeller.
  • 2002 ScienceDirect
    Soumen Chakrabarti.
    Crawling the Web -- Web search and information retrieval -- Similarity and clustering -- Supervised learning -- Semisupervised learning -- Social network analysis -- Resource discovery -- The future of Web mining.
  • 2003 CRCnetBASE
    Peter J. Mulquiney, Philip W. Kuchel.
  • 2012 ScienceDirect
    [edited by] Zhaohui Wu, Huajun Chen, Xiaohong Jiang, Zhejiang University, Hangzhou, China.
    Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM's independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine. Interdisciplinary book bringing together Traditional Chinese Medicine and computer scientists. Introduces novel network technologies to Traditional Chinese Medicine informaticsProvides theory and practical examples and case studies of new techniques.
  • 2006 ScienceDirect
    edited by Bernadette Bouchon-Meunier, Giulianella Coletti, Ronald R. Yager.
    Entropies, characterizations, applications and some history / János Aczél -- Belief function theory on the continuous space with an application to model based classification / B. Ristic and Ph. Smets -- Independence in conditional possibility theory / G. Coletti and B. Vantaggi -- Joint treatment of imprecision and randomness in uncertainty propagation / C. Baudrit, D. Dubois, D. Guyonnet and H. Fargier -- Consistency of probabilistic transformations of belief functions / M. Daniel -- Randomization and uncertain inference / Henry E. Kyburg, Jr. and Choh Man Teng -- An empirical complexity study for a 2CPA solver / M. Baioletti, A. Capotorti and S. Tulipani -- Consistency in preference modelling / José Luis García-Lapresta and Javier Montero -- Transitive decomposition of min-transitive fuzzy relations / S. Díaz, B. De Baets and S. Montes -- Decision making with fuzzy ternary relations / S. Ovchinnikov -- New consistency properties for preference relations / F. Chiclana, E. Herrera-Viedma and F. Herrera -- Management of uncertainty orderings through ASP / Andrea Capotorti and Andrea Formisano -- Automating the quality assurance of an on-line knowledge-based classifier by fusing multiple off-line classifiers / Piero P. Bonissone -- Qualitative classification with possibilistic decision trees / Nahla Ben Amor, Salem Benferhat and Zied Elouedi -- Discovery of abstract knowledge from non-atomic attribute values in fuzzy relational databases / Rafal A. Angryk and Frederick E. Petry -- Kernel-based outlier preserving clustering with representativity coefficients / M.-J. Lesot -- Fuzzy C-medoids clustering models for time-varying data / R. Coppi, P. D'Urso and P. Giordani -- Improving the K2 algorithm using association rule parameters / Evelina Lamma, Fabrizio Riguzzi and Sergio Storari -- OWA aggregation on an interval argument / Ronald R. Yager -- On bi-capacity-based concordance rules in multicriteria decision making / A. Rolland -- Information evaluation in fusion : formalization of informal recommendations / Laurence Cholvy -- Application of uncertainty-based methods to fuse language identification expert decisions / J. Gutiérrez, J.-L. Rouas and R. André-Obrecht -- Intelligent multiattribute decision support model for medical triage / F. Burstein, Jocelyn San Pedro, Leonid Churilov and Jeff Wassertheil -- Interval-based multicriteria decision making / Martine Ceberio and François Modave -- A linguistic hierarchical evaluation model for engineering systems / L. Martínez, L.G. Pérez, J. Liu, J.B. Yang and F. Herrera -- Non monotonic aggregates applying to fuzzy sets in flexible querying / Patrick Bosc and Ludovic Liétard -- Fuzzy spatial data modeling : an extended bitmap approach / Jörg Verstraete, Guy De Tré and Axel Hallez -- Introducing [lambda]-specialization into the fuzzy EER model / Guoqing Chen, Ling Lin and Xunhua Guo -- A logical reasoning framework for modelling and merging uncertain semi-structured information / Anthony Hunter and Weiru Liu -- Machine learning and the prediction of protein structure : the state of the art / Rita Casadio, Remo Calabrese, Emidio Capriotti, Mario Compiani, Piero Fariselli, Paola Marani, Ludovica Montanucci, Pier Luigi Martelli, Ivan Rossi and Gianluca Tasco -- Efficient and robust global amino acid sequence alignment with uncertain evolutionary distance / Matthias C.M. Troffaes -- Classifying biomedical spectra using stochastic feature selection and parallelized multi-layer perceptrons / N.J. Pizzi, R.L. Somorjai and W. Pedrycz -- On the sensitivity of probabilistic networks to reliability characteristics / Linda C. van der Gaag and Silja Renooij -- Dominance of recognition of words presented on right or left eye (comparison of kanji and hiragana) / Takahiro Yamanoi, Toshimasa Yamazaki, Jean-Louis Vercher, Elie Sanchez and Michio Sugeno -- Hand posture recognition with the fuzzy glove / T. Allevard, E. Benoit and L. Foulloy -- Image retrieval by composition of regions / J.F. Omhover and M. Detyniecki -- Blind image restoration from multiple views by IMAP estimation / Monia Discepoli, Ivan Gerace and Roberta Pandolfi -- A combined feature extraction method for an electronic nose / I. Hristozov, B. Iliev and S. Eskiizmirliler.
  • v.1-2, 2011 Springer
    v.2 (2011) Springer
    Ayman S. El-Baz, Rajendra Acharya U, Majid Mirmehdi, Jasjit S. Suri.
  • ProQuest Safari
    Paul DuBois.
    This book offers dozens of short, focused pieces of code and hundreds of worked-out examples for programmers of all levels who don't have the time or expertise to solve MySQL problems from scratch. Each recipe explains how and why the code works, so you'll learn as you. This new edition covers MySQL 5.0 and its powerful new features, along with the older but still widespread MySQL 4.1.
  • 2007
    by the Subcommittee on Networking and Information Technology Research and Development, Committee on Technology, National Science and Technology Council.
  • 2007 CRCnetBASE
    Sandhya Samarasinghe.
  • 2013 Springer
    Alberta Ferrari, Adele Sgarella, Sandro Zonta, Editors ; foreword by Virgilio Sacchini.
    This book describes in detail three different techniques for minimally invasive video-assisted breast surgery: nipple-sparing mastectomy with a hand-held external retractor, with a single-port device, and with robotic assistance. All three techniques can be employed for radical treatment of breast cancer or for risk reduction surgery, and the last two are brand new. The techniques are clearly explained with the aid of numerous high-quality illustrations. All surgical stages are covered in detail, and helpful information is provided on key aspects of surgical anatomy, diagnostic workup, instrumentation, and postoperative management. Nipple Sparing Mastectomy is the first manual to cover these techniques, which are likely to become standard in the field of oncological breast surgery. It will be invaluable for breast surgeons who are skilled in nipple-sparing mastectomy and oncoplastic techniques or are working in breast units that offer genetic counseling to high-risk patients.
  • 2011 CRCnetBASE
    Dieter Rasch, Jürgen Pilz, Rob Verdooren, Albrecht Gebhardt.
    "Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE. Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians"--Back cover.
  • 2005 ProQuest Safari
    Steven Feuerstein, Bill Pribyl and Jonathan Gennick.
  • 2002 ProQuest Safari
    Jonathan Gennick.
  • 2005 ProQuest Safari
    Jonathan Gennick.
  • 2002 SUNet ID login required to search for this title
    by Carol McCullough-Dieter ; foreword by Ned Dana.
  • 2005 Springer
    Mike Gunderloy.
  • 2010 Springer
    Roy C.P. Kerckhoffs, editor.
    Integrating State-of-the-Art Computational Modeling with Clinical Practice: The Promise of Numerical Methods / David E. Krummen, Gainyu Oshodi and Sanjiv M. Narayan -- Patient-Specific Modeling of Cardiovascular Dynamics with a Major Role for Adaptation / Theo Arts, Joost Lumens, Wilco Kroon, Dirk Donker and Frits Prinzen, et al. -- Patient-Specific Modeling of Structure and Function of Cardiac Cells / Frank B. Sachse -- Studies of Therapeutic Strategies for Atrial Fibrillation Based on a Biophysical Model of the Human Atria / Laurent Uldry, Nathalie Virag, Jean-Marc Vesin and Lukas Kappenberger -- Patient-Specific Modeling for Critical Care / Maxwell Lewis Neal -- Biomechanical Analysis of Abdominal Aortic Aneurysms / Lambert Speelman, Mariëlle Bosboom, Geert W. H. Schurink and Frans N. v.d. Vosse -- The Cardiac Atlas Project: Towards a Map of the Heart / Michael Backhaus, Jae Do Chung, Brett R. Cowan, Carissa G. Fonseca and Wenchao Tao, et al. -- In Vivo Myocardial Material Properties and Stress Distributions in Normal and Failing Human Hearts / Jonathan F. Wenk, Zhihong Zhang, Guangming Cheng, Kay Sun and Joseph C. Walker, et al. -- Modeling of Whole-Heart Electrophysiology and Mechanics: Toward Patient-Specific Simulations / Fijoy Vadakkumpadan, Viatcheslav Gurev, Jason Constantino, Hermenegild Arevalo and Natalia Trayanova -- Personalized Computational Models of the Heart for Cardiac Resynchronization Therapy / Maxime Sermesant and Reza Razavi -- Patient-Specific Modeling of Hypoxic Response and Microvasculature Dynamics / Joanna Nathan and Amina Ann Qutub -- A Computational Framework for Patient-Specific Multi-Scale Cardiac Modeling / Jazmin Aguado-Sierra, Roy C. P. Kerckhoffs, Fred Lionetti, Darlene Hunt and Chris Villongco, et al.
  • Click LINK above for Print location/circulation status.
    2002 CRCnetBASE
    Sing-Tze Bow.
  • 2002 ProQuest Safari
    Sean M. Burke.
  • 2002 ProQuest Safari
    Erik T. Ray and Jason McIntosh.
  • 2003 ProQuest Safari
    Tom Christiansen and Nathan Torkington.
    Also available: Print – 2003
  • 2002 ProQuest Safari
    Andy Duncan and Jared Still.
  • 2002 ProQuest Safari
    Nathan Patwardhan, Ellen Siever and Stephen Spainhour.
  • 2007 CRCnetBASE
    edited by Jakob E. Bardram, Alex Mihailidis, Dadong Wan.
    Overview of healthcare, disease, and disability / Jeffrey Kaye, Tracy Zitzelberger -- Computer science tools and techniques / Martha E. Pollack, Bart Peintner -- Pervasive computing in hospitals / Jakob E. Bardram, Heribert Baldus, Jesus Favela -- Pervasive computing in the home and community / Donald J. Patterson, Henry A. Kautz, Dieter Fox, Lin Liao -- Mobile and personal health and wellness management systems / Elina Mattila, Ilkka Korhonen, Niilo Saranummi -- Sensors and wearable technologies for pervasive healthcare / Sungmee Park, Sundaresan Jayaraman -- Assistive technologies / Edmund LoPresti -- Human factors and usability of healthcare systems / Andre Kushniruk, Elizabeth Borycki -- Routes and requirements for realizing pervasive medical devices / Michael P. Craven -- User evaluation in pervasive healthcare / Tim Adlam, Roger Orpwood, Teresa Dunn -- The business of pervasive healthcare / Dadong Wan, Luis E. Taveras.
  • 2007 ProQuest Safari
    Laurie Ulrich Fuller, Robert C. Fuller.
  • 2012 CRCnetBASE
    K.J. Blinowska, J. Zygierewicz.
    1. Introductory concepts -- 2. Single channel (univariate) signal -- 3. Multiple channels (multivariate) signals -- 4. Application to biomedical signals.
  • 2012 CRCnetBASE
    Monte F. Hancock, Jr.
    What is data mining and what can it do? -- The data mining process -- Problem definition (Step 1) -- Data evaluation (Step 2) -- Feature extraction and enhancement (Step 3) -- Prototyping plan and model development (Step 4) -- Model evaluation (Step 5) -- Implementation (Step 6) -- Supervised learning Genre section 1 - Detecting and characterizing known patterns -- Forensic analysis Genre Section 2 -Detecting, characterizing, and exploiting hidden patterns -- Genre Section 3 - Knowledge : Its acquisition, representation, and use.
  • 2007 CRCnetBASE
    Susanne Prokscha.
    Also available: Print – 2007
  • 2001 ProQuest Safari
    Judith S. Bowman, Sandra L. Emerson, Marcy Darnovsky.
    SQL and relational database management -- Designing databases -- Creating and filling a database -- Selecting data from the database -- Sorting data and other selection techniques -- Grouping data and reporting from it -- Joining tables for comprehensive data analysis -- Structuring queries with subqueries -- Creating and using views -- Security, transactions, performance, and integrity -- Solving business problems.
    Also available: Print – 2001
  • 2012 Springer
    Tim Benson.
    Part 1. Principles of Health Interoperability -- The Health Information Revolution -- Why Interoperability is Hard -- Models -- UML and XML -- Privacy -- Standards Development Organizations -- Part 2. HL7 and Interchange Formats -- HL7 Version 2 -- The HL7 V3 RIM -- Constrained Information Models -- Clinical Document Architecture -- HL7 Dynamic Model -- IHE XDS -- Part 3. SNOMED and Terminology -- Clinical Terminology -- Coding and Classification Schemes -- SNOMED CT -- SNOMED CT Concept Model -- Using SNOMED and HL7 Together.
  • 2007 Springer
    Ed Hild with Susie Adams.
  • 2008 Springer
    edited by Joyce H.D.M. Westerink ... [et al.].
  • 2005 CRCnetBASE
    Kang-Tsung Chang.
  • 2007 ProQuest Safari
    Toby Segaran.
  • 2012 CRCnetBASE
    Michael F. Lawrence, John Verzani.
    "Preface About this book Two common types of user interfaces in statistical computing are the command line interface (CLI) and the graphical user interface (GUI). The usual CLI consists of a textual console in which the user types a sequence of commands at a prompt, and the output of the commands is printed to the console as text. The R console is an example of a CLI. A GUI is the primary means of interacting with desktop environments, such as Windows and Mac OS X, and statistical software, such as JMP. GUIs are contained within windows, and resources, such as documents, are represented by graphical icons. User controls are packed into hierarchical drop-down menus, buttons, sliders, etc. The user manipulates the windows, icons, and menus with a pointer device, such as a mouse. The R language, like its predecessor S, is designed for interactive use through a command line interface (CLI), and the CLI remains the primary interface to R. However, the graphical user interface (GUI) has emerged as an effective alternative, depending on the specific task and the target audience. With respect to GUIs, we see R users falling into three main target audiences: those who are familiar with programming R, those who are still learning how to program, and those who have no interest in programming. On some platforms, such as Windows and Mac OS X, R has graphical front-ends that provide a CLI through a text console control. Similar examples include the multi-platform RStudioTM IDE, the Java-based JGR and the RKWard GUI for the Linux KDE desktop. Although these interfaces are GUIs, they are still very much in essence CLIs, in that the primary mode of interacting with R is the same. Thus, these GUIs appeal mostly to those who are comfortable with R programming"-- Provided by publisher.
  • 2005 ProQuest Safari
    edited by Alex Martelli, Anna Martelli Ravenscroft, and David Ascher.
  • 2010 CRCnetBASE
    Sebastian Bassi.
    I. PROGRAMMING. 1. Introduction -- 2. First Steps with Python -- 3. Basic Programming: Data Types -- 4. Programming: Flow Control -- 5. Dealing with Files -- 6. Code Modularizing -- 7. Error Handling -- 8. Introduction to Object Orienting Programming (OOP) -- 9. Regular Expressions --- II. BIOPYTHON. 10. Introduction to Biopython --- III. ADVANCED TOPICS. 11. Web Applications -- 12. XML -- 13. Python and Databases -- 14. Collaborative Development: Version Control --- IV. PYTHON RECIPES WITH COMMENTED SOURCE CODE. 15. Sequence Manipulation in Batch -- 16. Web Application for Filtering Vector Contamination -- 17. Searching for PCR Primers Using Primer3 -- 18. Calculating Melting Temperature from a Set of Primers -- 19. Filtering out Specific Fields from a Genbank File -- 20. Converting XML Blast File into HTML -- 21. Inferring Splicing Sites -- 22. DNA Mutations with Restrictions -- 23. Web Server for Multiple Alignment -- 24. Drawing Marker Positions Using Data Stored in a Database --- Appendixes. A. Python and Biopython Installation -- B. Selected Papers -- C. Included DVD: Virtual Machine Installation and Use -- D. Python Language Reference -- E. Answers to Odd-Numbered Questions -- F. Python Style Guide.
  • 2006 ScienceDirect
    Jim Melton and Stephen Buxton.
    XML -- Querying -- Querying XML -- Metadata, an overview -- Structural metadata -- The XML information set (Infoset) and beyond -- Managing XML : transforming and connecting -- Storing : XML and databases -- XPath 1.0 and XPath 2.0 -- Introduction to XQuery 1.0 -- XQuery 1.0 definition -- What's missing? -- XQuery APIs -- SQL/XML -- XML-derived markup languages -- Internationalization : putting the "W" in "WWW" -- Finding stuff.
  • 2007 Wiley
    SU Catalog (SearchWorks) Click LINK above for Print location/circulation status.
    Michael J. Crawley.
    Preface -- 1. Getting started -- 2. Essentials of the R language -- 3. Data input -- 4. Dataframes -- 5. Graphics -- 6. Tables -- 7. Mathematics -- 8. Classical tests -- 9. Statistical modelling -- 10. Regression -- 11. Analysis of variance -- 12. Analysis of covariance -- 13. Generalized linear models -- 14. Count data -- 15. Count data in tables -- 16. Proportion data -- 17. Binary response variables -- 18. Generalized additive models -- 19. Mixed-effects models -- 20. Non-linear regression -- 21. Tree models -- 22. Time series analysis -- 23. Multivariate statistics -- 24. Spatial statistics -- 25. Survival analysis -- 26. Simulation models -- 27. Changing the look of graphics -- References and further reading -- Index.
  • 2012 CRCnetBASE
    Christopher Hay-Jahans.
    "Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters.This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures"-- Provided by publisher.
  • 2011 ProQuest Safari
    Paul Teetor.
  • Click LINK above for Print location/circulation status.
    2006 CRCnetBASE
    Paul Murrell.
  • 2011 CRCnetBASE
    Paul Murrell.
    An introduction to R graphics -- Traditional graphics. Simple usage of traditional graphics -- Customizing traditional graphics -- Grid graphics. Trellis graphics : the lattice package -- The grammar of graphics : the ggplot2 package -- The grid graphics model -- The grid graphics object model -- Developing new graphics functions and objects -- The graphics engine. Graphics formats -- Graphical parameters -- Graphics packages. Graphics extensions -- Plot extensions -- Graphics for categorical data -- Maps -- Node-and-edge graphs -- 3D graphics -- Dynamic and interactive graphics -- Importing graphics -- Combining graphics systems.
  • 2011 ProQuest Safari
    Hrishi V. Mittal.
  • 2010 ProQuest Safari
    Joseph Adler.
  • 2012 CRCnetBASE
    Claus Thorn Ekstrøm.
  • 2016 Springer
    Ken Herrmann, Omgo E. Nieweg, Stephen P. Povoski, editors.
    Part 1 Introduction -- The History of Radioguided Surgery: Early Historical Milestones and the Development of Later Innovative Clinical Applications -- Part 2 Detailed Methodology Part -- Physics of Radioguided Surgery -- The use of intraoperative small and large field of view gamma cameras for radioguided surgery -- Surgical Navigation -- Tracers applied in radioguided surgery -- Radiation Safety and Dosimetry -- Part 3 Clinical Application: Breast -- Radioguided sentinel lymph node mapping and biopsy in breast cancer -- Radioguided Surgery for Non-Palpable Breast Lesions: I-125 Radioactive Seed Localization.- Radioguided Surgery for Non-Palpable Breast Lesions: Technetium-99m Radioguided Occult Lesion Localization (ROLL) -- Part 4 Clinical Application: Skin -- Radioguided sentinel lymph node mapping and biopsy in cutaneous melanoma -- Part 5 Clinical Application: Head and Neck -- Sentinel lymph node mapping and biopsy in oral cancer -- Part 6 Clinical Application: Thyroid and Parathyroid -- Radioguided sentinel lymph node mapping and biopsy in thyroid cancer -- Radioguided Parathyroid Surgery -- Radioguided surgery of thyroid carcinoma recurrences -- Part 7 Clinical Application: Urogenital Tract -- Radioguided sentinel lymph node biopsy and lymphatic mapping in urogenital malignancies -- Radioguided sentinel lymph node mapping and biopsy in Gynaecological malignancies -- Part 8 Clinical Application: Gastrointestinal Tract -- Radioguided sentinel lymph node mapping and biopsy in oesophago-gastric -- Radioguided sentinel lymph node mapping and biopsy in colorectal cancer -- Radioguided surgery in gastro-entero-pancreatic neuroendocrine tumors -- Part 9 Clinical Application: Thoracic -- Radioguided sentinel lymph node mapping and biopsy in non-small-cell lung cancer (NSCLC) -- Radioguided surgery of small pulmonary nodules -- Part 10 Miscellaneous -- Radioguided localization of bone lesions -- Radioguided monitoring of systemic leakage during isolated limb perfusion -- Radioimmunoguided Surgery: Intraoperative radioimmunodetection for the radioguided localization and resection of tumors -- 18F-FDG-Directed Surgery and 18F-FDG-Directed Interventional Procedures -- Part 11 Outlook: New techniques, image fusion, optical imaging -- Fluorescent tracers, hybrid tracers -- Magnetic Advances in Cancer Surgery -- Ultrasound fusion -- Part 12 Examples (conventional techniques and innovations). .
  • 2005 ScienceDirect
    Karen Holtzblatt, Jessamyn Burns Wendell, Shelley Wood.
  • 2002 Wiley
    Albert M.K. Cheng.
    ch. 1. Introduction, p. 1-9 -- ch. 2. Analysis and Verification of Non-Real-Time Systems, p. 10-40 -- ch. 3. Real-Time Scheduling and Schedulability Analysis, p. 41-85 -- ch. 4. Model Checking of Finite-State Systems, p. 86-133 -- ch. 5. Visual Formalism, Statecharts, and Statemate, p. 134-147 -- ch. 6. Real-Time Logic, Graph-Theoretic Analysis, and Modechart, p. 148-186 -- ch. 7. Verification Using Timed Automata, p. 187-211 -- ch. 8. Timed Petri Nets, p. 212-236 -- ch. 9. Process Algebra, p. 237-258 -- ch. 10. Design and Analysis of Propositional-Logic Rule-Based Systems, p. 259-366 -- ch. 11. Timing Analysis of Predicate-Logic Rule-Based Systems, p. 367-435 -- ch. 12. Optimization of Rule-Based Systems, p. 436-465.
  • 2009 CRCnetBASE
    Michael Panik.
    Review of fundamental of statistics -- Bivariate linear regression and correlation -- Misspecified disturbance terms -- Nonparametric regression -- Logistic regression -- Bayesian regression -- Robust regression -- Fuzzy regression -- Random coefficients regression -- L1 and q-Quantile regression -- Regression in a spatial domain -- Multiple regression -- Normal correlation models -- Ridge regression -- Indicator variables -- Polynomial model estimation -- Semiparametric regression -- Nonlinear regression -- Issues in time series modeling and estimation.
  • 2012 Springer
    A. Ravishankar Rao, Guillermo A. Cecchi, editors.
    Introduction -- Adaptation and contraction theory for the synchronization of complex neural networks -- Temporal coding is not only about cooperation, it is also about competition -- Using non-oscillatory dynamics to disambiguate pattern mixtures -- Functional constraints on network topology via generalized sparse -- Evolution of time in neural networks, from the present to the past, and forward to the future -- Synchronization of coupled pulse-type hardware neuron models for CPG model -- A univesal abstract-time platform for real-time neural networks -- Solving complex control tasks via simple rule(s), using chaotic dynamics in a recurrent neural network model -- Time scale analysis of neuronal ensemble data used to feed neural network models -- Simultaneous EEG-fMRI, integrating spatial and temporal resolution -- Erratum to: Time scale analysis of neuronal ensemble data used to feed neural network models.
  • 2014 Springer
    Go Watanabe, editor.
    1. Overview of robotic surgery -- 2. The de Vinci Surgical® systesm -- 3. Development of robotic systems -- 4. Robotic surgery in urology -- 5. Robotic gastrectomy for gastric cancer -- 6. Esophageal cancer surgery: robotic esophagectomy - 7. Lateral pelvic node dissection for advanced rectal cancer: current debates and use of the robotic approach -- 8. Cardiac surgery: overview -- 9. Robotically assisted totally endoscopic coronary artery bypass grafting -- 10. Robotic surgery for mitral valve disease -- 11. Robotic surgery in general thoracic surgery -- 12. Robot-assisted thyroidectomy.
  • 2015 Springer
    Giuseppe Spinoglio, editor ; in collaboration with Alessandra Marano and Giampaolo Formisano ; forewords by Giorgio De Toma, Francesco Corcione.
    This book describes the current applications of the robotic system in general surgery, focusing on the technical aspects of the procedures most commonly performed by this means. It provides a comprehensive overview of the state of the art in robotic surgery and presents the most recently available evidence as documented in the literature. The opening chapters review robotic platforms, discuss the general advantages, limitations, and strategies of robotic surgery, and identify challenges and critical elements when setting up a robotic program. The full range of applications of the robotic system is then covered, encompassing thoracic, esophageal, gastric, hepatobiliopancreatic, splenic, colorectal, endocrine, and transplantation surgery. Detailed attention is also paid to innovative applications and future trends in the robotic platform, with inclusion of a special chapter on fluorescence imaging during robotic procedures. The book closes by considering aspects related to credentialing and privileging, such as mentoring, proctoring, and teaching modules for residents and fellows. Against the background of increasing acceptance of the robotic surgery system across the globe, this book will be invaluable for all general surgeons. There is no doubt that within general surgery the system will continue to flourish on account of its undoubted technical advantages, which minimize most of the intrinsic shortcomings of laparoscopy.
  • 2002 ProQuest Safari
    Yukihiro Matsumoto ; with translated text by David L. Reynolds, Jr.
  • 2006 ProQuest Safari
    Matthias Kalle Dalheimer and Matt Welsh.
  • 2014 CRCnetBASE
    Ken Kleinman, Nicholas J. Horton.
    1. Data input and output -- 2. Data management -- 3. Statistical and mathematical functions -- 4. Programming and operating system interface -- 5. Common statistical procedures -- 6. Linear regression and ANOVA -- 7. Regression generalizations and modeling -- 8. A graphical compendium -- 9. Graphical options and configuration -- 10. Simulation -- 11. Special topics -- 12. Case studies.
  • 2010 CRCnetBASE
    Ken Kleinman, Nicholas J. Horton.
  • 2007 ProQuest Safari
    Stephen McDaniel.
  • 2010 ProQuest Safari
    Ron Cody.
    Character functions -- Perl regular expressions -- Sort functions -- Date and time functions -- Array functions -- Truncation functions -- Descriptive statistics functions -- Mathematical and numeric functions -- Random number functions -- Special functions -- State and ZIP code functions -- Trigonometric functions -- Macro functions -- SAS file I/O functions -- Variable information functions -- Bitwise logical functions.
  • 2008 Springer
    Bertram Ludäscher, Nikos Mamoulis (eds.).
  • 2008 ProQuest Safari
    Jerry Sedgewick.
    Also available: Print – 2008
  • Springer
    Seth Bates and Tony Smith.
  • Springer
    Seth Bates and Tony Smith.
  • 2012 Springer
    Hitendra R.H. Patel, Jean V. Joseph, editors.
    Lessons Learned from the Aviation Industry: Surgical Checklists / Stig Müller and Hitendra R. H. Patel -- Human Factors, Nontechnical Skills, and Surgical Training / Stig Müller, Waleed Al-Singary and Hitendra R. H. Patel -- Current State of Laparoscopic and Robotic Surgery / Jens J. Rassweiler, Marcel Hruza, Thomas Frede and Salvatore Micali -- Simulation and Training in Minimally Invasive Surgery / Sonal Arora, Shabnam Undre and Roger Kneebone -- Value of Virtual Reality in Medical Education / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- The MIMIC Virtual Reality Trainer: Stepping into Three-Dimensional, Binocular, Robotic Simulation / Steven M. Lucas and Chandru P. Sundaram -- Laparoscopic Cholecystectomy Skills Acquisition and Procedural Proficiency in Novices Using Virtual Reality / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- Lesson Learnt from the Military Surgeons Using Simulation in Trauma Surgery / Simon S. Fleming and John-Joe Reilly -- Clinical and Educational Benefits of Surgical Telementoring / Knut Mague Augestad, Taridzo Chomutare, Johan G. Bellika, Andrius Budrionis and Rolv-Ole Lindsetmo, et al. -- Portable Learning and Multimedia in Surgical Training / Narinderjit Singh Kullar, Stig Müller and Hitendra R. H. Patel.
  • 2013 Springer
    Bertalan Meskó.
    Social media has been clearly changing the way medicine is practiced and healthcare is delivered. Medical professionals must be able to meet the special needs of technology-aware patients and use digital technologies in their work and communications properly. Each physician should find the tools that will assist them in their workflow, and patients need to be educated how to use the internet. It is the responsibility of medical professionals to contribute to this process. The constantly evolving digital world must be used in the practice of medicine to improve the care of patients. However, the only way to do so effectively is via evidence-based, meaningful and strategic use. Social Media in Clinical Practice provides practical guidance in this mission and is thus essential reading for all medical personal looking into approaching this for the first time.
  • 2011
    James Joseph Wagner.
    People with severe physical disabilities who have non-technical backgrounds are unlikely candidates to be able to operate vocational assistive robots. Such robotic devices have been costly, complex, programmable only by experts, and prohibitive to user changes. This dissertation describes the design approach created in the development of a small desktop robot system called the Professional Vocational Assistant Robot (ProVAR). ProVAR deals explicitly with the social aspects of human-robot interaction to help individuals with tetraplegia to use the robot. This design approach was heavily influenced by the theory of Social Responses to Communication Technologies (SRCT) and by psychology research that shows the power of a team in complex command, design and learning scenarios. The SRCT concept holds that people's reactions and interactions with computers and other new media entities follow the same social rules used in human-human interactions. If those reactions can be enhanced, the success of assistive robotic systems dependent on them can also be increased. The leveraging of social responses can increase tolerance for the robotic systems' difficulties, and thus increase the chance of adoption and sustained use of the assistive devices by lay users not experienced in computers, robots, or mechanical control devices. A new theory, growing out of SRCT, was proposed. "Social Responses to Somatic Technology" (SRST) guided the development of ProVAR. It is based on a robot users perception that a somatic, e.g., robotic, technology device is, in fact, a social entity. As does a human social entity, each technological social entity consists of two components: the "body" and the "mind." The ProVAR System was designed with two complete social entities, or personalities; both induce social responses. Each of ProVAR's two personalities is expected to maintain a personal relationship with the users, in this case, with an individual with severe physical disabilities and with the occupational therapist responsible for his/her rehabilitation. ProVAR's graphical user interface, named "Jiminey, " is primarily considered by the user to be a mind: a smart consultant/coach. ProVAR's robotic arm, "Pinocchio, " is primarily perceived by the user to be a body: the down-to-earth do'er itself. Even though each of these social entities does have both a body and a mind, each personality's different dominant characteristic allows the user to perceive that he/she is functioning as a teammate with two other distinct entities. These three partners work together to help manage and take advantage of the special capabilities of the ProVAR System to complete desired tasks. During Experiment 1, ProVAR showed 100% of novice users able independently to execute both preprogrammed tasks and also the more complicated manipulation of existing tasks and creation of new ones. ProVAR's SRST-inspired design is effective, with seven of eight metrics positively ranked by users. One additional finding showed that training first on the user interface alone without the presence of the robotic arm was not time effective. A further examination of the application of the SRST concept of "Social Entity = Body + Mind" was done in Experiment 2, studying the effect of the body and the mind of the robotic arm being perceived not to be co-located but in separate locations. Results showed that usability was ranked higher by the study participants if the arm (the body) was perceived as autonomous, i.e., controlling itself (by its mind) with an internal inboard computer, rather than the arm being remote-controlled, i.e., teleoperated (by its mind), in a computer located in another room.
  • 2008 CRCnetBASE
    Julio Sanchez, Maria P. Canton.
  • 2013 Springer
    John G. Taylor.
    This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind.
  • 2006 ProQuest Safari
    Anthony Molinaro.
    Retrieving records -- Sorting query results -- Working with multiple tables -- Inserting, updating, deleting -- Metadata queries -- Working with strings -- Working with numbers -- Date arithmetic -- Date manipulation -- Working with ranges -- Advanced searching -- Reporting and warehousing -- Hierarchical queries -- Odds 'n' ends.
  • 2006 SUNet ID login required to search for this title
    Allen G. Taylor.
  • 2012
    Chand Thomas John.
    Walking is the primary way in which humans move around in daily life. Stroke, injuries, or neuromuscular disorders such as cerebral palsy can impair an individual's ability to walk, thereby making activities of daily life much more difficult. Treatment of walking disorders targets muscles, but the mechanisms by which muscle forces influence body motion are poorly understood. Because important quantities like muscle forces cannot be measured during movement, experimental methods alone are insufficient for improving our understanding of the cause-effect relationships underlying the control of human walking. Muscle-driven simulations have emerged as powerful tools for calculating muscle forces and investigating how muscle forces influence body motion. This dissertation presents a new "residual reduction algorithm" for improving the consistency in a model between motion and force data collected during motion capture, enabling the generation of simulations of long-duration gait movements such as walking and running. This algorithm has enabled hundreds of researchers around the world to generate simulations of walking. This algorithm was used to generate a thoroughly tested, three-dimensional muscle-driven simulation of an unimpaired man walking for ten gait cycles. This simulation has been made freely available at https://simtk.org/home/muscleprops so other researchers can download, reproduce, modify, and analyze this simulation to investigate questions regarding human walking without having to generate their own simulations from their own motion capture data, thereby saving thousands of man-hours of time for the field of computational biomechanics. We used this simulation to resolve a long-standing mystery in movement science: how the human body responds to external disturbances when the central nervous system's responses are substantially delayed. We showed that intrinsic properties of muscles help stabilize walking by responding instantaneously to disturbances, thereby complementing the central nervous system's delayed response. This study demonstrates the utility of simulations for investigating questions about human walking that cannot be explored with experimental methods alone. The residual reduction algorithm also enabled the generation of 32 simulations of eight subjects walking at four different speeds. We analyzed these simulations to determine which muscle groups make the largest contributions to mediolateral ground reaction force across a range of speeds. We showed that walking speed affects peak lateral ground reaction force in early stance and peak medial ground reaction force during early single support. The hip abductors are the largest contributors of medial ground reaction force at all walking speeds. The calf muscles, knee extensors, and adductors oppose the abductors by contributing lateral ground reaction forces. The work presented in this dissertation has enabled several studies to be performed using muscle-driven simulations to gain insight into how muscles modulate walking and running movements. This dissertation presents two such studies that reveal insight into how muscle properties help stabilize walking and how muscles contribute to mediolateral stability during walking.
  • 2010 CRCnetBASE
    George Fernandez.
  • 2012 CRCnetBASE
    edited by Mireille Gettler Summa, Léon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati.
    "Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data. Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments. "-- Provided by publisher.
  • 2007 CRCnetBASE
    Ernst-Erich Doberkat.
  • v. 184, 212-213, 216, 2005, 2007. Springer
    Also available: Print – v. 83, 2002.
  • 2008
    Succinct guide to Windows users migrating to the Mac.
  • 2008 Springer
    Erica Sadun.
    A guide to the iPhone discusses the features of the device, including the iPhone media and the QWERTY keyboard, as well as its e-mail, voicemail, and calendar functions; Internet connectivity and applications; third-party software to enhance the iPhone; iTunes, iBooks, and iPhone games; power user applications; and accessories
  • 2010 ProQuest Safari
    by Lonzell Watson.
    Exploring the iPad -- Understanding what you can do with your iPad -- Configuring the iPad -- Getting the most from the internet -- Maximizing email on the iPad -- Syncing the iPad -- Getting the most from iTunes and photos -- Getting the most from YouTube and iBooks -- Managing contacts and appointments -- Simplifying your life with the iPad -- Enhance your iPad with the app store -- Maintaining and troubleshooting the iPad.
  • 2005 Wiley
    Alan L. Porter, Scott W. Cunningham.
    Part I. Understanding Tech Mining -- Chapter 1. Technological Innovation and the Need for Tech Mining , p. 2-15 -- Chapter 2. How Tech Mining Works, p. 17-32 -- Chapter 3. What Tech Mining Can Do for You, p. 33-40 -- Chapter 4. Example Results. Fuel Cells Tech Mining, p. 41-50 -- Chapter 5. What to Watch for in Tech Mining, p. 51-66 -- Part II. Doing Tech Mining -- Chapter 7. Forming the Right Query, p. 95-111 -- Chapter 8. Getting the Data, p. 113-127 -- Chapter 9. Basic Analyses, p. 129-154 -- Chapter 10. Advanced Analyses, p. 155-186 -- Chapter 11. Trend Analyses, p. 187-214 -- Chapter 12. Patent Analyses, p. 215-248 -- Chapter 13. Generating and Presenting Innovation Indicators, p. 249-288 -- Chapter 14. Managing the Tech Mining Process, p. 289-306 -- Chapter 15. Measuring Tech Mining Results, p. 307-320 -- Chapter 16. Example Process. Tech Mining on Fuel Cells, p. 321-354 -- Appendix A. Selected Publication and Patent Databases, p. 355-359 -- Appendix B. Text Mining Software, p. 361-362 -- Appendix C. What You Can Do without Tech Mining Software, p. 363-364 -- Appendix D. Statistics and Distributions for Analyzing Text Entities, p. 365-368.
  • 2013 CRCnetBASE
    (ed.) Fei Hu. The University of Alabama, Electrical and Computer Engineering, Tuscaloosa, Alabama, USA.
    Pt. 1. System : tele-healthcare monitoring networks -- pt. 2. Hardware : medical sensors and devices -- pt. 3. Software : medical signal processing -- pt. 4. Others : medical security and privacy.
  • 2011 Springer
    A.J. Larner.
    "Medical information is now widely available on the Internet and through telephone helplines such as NHS Direct and the focus on patient self care is likely to increase. Clinicians in all specialties will often encounter patients who have made self-directed searches for medical information prior to the clinical encounter. 'Teleneurology by Internet and Telephone' is a study of patient information-seeking behaviour in neurology patients prior to referral from primary to secondary care. The book analyses frequency of Internet access and use, and of telephone helpline awareness and use. It also explores use of these modalities over time, use according to patient gender and age and by gender and age over time. 'Teleneurology by Internet and Telephone' is an accessible overview of the utility of these modalities of health information provision and will be of interest not only to neurologists and clinicians in other specialities but also to public health researchers, sociologists and political scientists with an interest in questions of health care provision"--Provided by publisher.
  • 2010
    Vikash Gilja.
    By restoring the ability to move and communicate with the world, brain machine interfaces (BMIs) offer the potential to improve quality of life for people suffering from spinal cord injury, stroke, or neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS). BMIs attempt to translate measured neural signals into the user's intentions and, subsequently, control a computer or actuator. Recently, compelling examples of intra-cortical BMIs have been demonstrated in tetraplegic patients. Although these studies provide a powerful proof-of-concept, clinical viability is impeded by limited performance and robustness over short (hours) and long (days) timescales. We address performance and robustness over short time periods by approaching BMIs as a systems level design problem. We identify key components of the system and design a novel BMI from a feedback control perspective. In this perspective, the brain is the controller of a new plant, defined by the BMI, and the actions of this BMI are witnessed by the user. This simple perspective leads to design advances that result in significant qualitative and quantitative performance improvements. Through online closed loop experiments, we show that this BMI is capable of producing continuous endpoint movements that approach native limb performance and can operate continuously for hours. We also demonstrate how this system can be operated across days by a bootstrap procedure with the potential to eliminate an explicit recalibration step. To examine the use of BMIs over longer timescales, we develop new electrophysiology tools that allow for continuous multi-day neural recording. Through application of this technology, we measure the signal acquisition stability (and instability) of the electrode array technology used in current BMI clinical trials. We also demonstrate how these systems can be used to study BMI decoding over longer time periods. In this demonstration, we present a simple methodology for switching BMI systems on and off at appropriate times. The algorithms and methods demonstrated can be run with existing low power application specific integrated circuits (ASICs), with a defined path towards the development of a fully implantable neural interface system. We believe that these advances are a step towards clinical viability and, with careful user interface design, neural prosthetic systems can be translated into real world solutions.
  • 2006 CRCnetBASE
    Anthony J. Rhem.
  • 2007 ProQuest Safari
    Sasha Pachev.
  • 2012 CRCnetBASE
    Yair Altman.
    "Preface The Matlab programming environment uses Java for numerous tasks, including networking, data-processing algorithms, and graphical user-interface (GUI). Matlab's internal Java classes can often be easily accessed and used by Matlab users. Matlab also enables easy access to external Java functionality, either third-party or user-created. Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of very esthetically pleasing applications. Unlike Matlab's interface with other programming languages, the internal Java classes and the Matlab-Java interface were never fully documented by The MathWorks (TMW), the company that manufactures the Matlab product. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times as many programmers as Matlab. Using this huge pool of knowledge and components can significantly improve Matlab applications. As a consultant, I often hear clients claim that Matlab is a fine programming platform for prototyping, but is not suitable for real-world modern-looking applications. This book aimed at correcting this misconception. It shows how using Java can significantly improve Matlab program appearance and functionality and that this can be done easily and even without any prior Java knowledge. In fact, many basic programming requirements cannot be achieved (or are difficult) in pure Matlab, but are very easy in Java. As a simple example, maximizing and minimizing windows is not possible in pure Matlab, but is a trivial one-liner using the underlying Java codeʹ:"--Provided by publisher.
  • 2005 ProQuest Safari
    James Rumbaugh, Ivar Jacobson, Grady Booch.
  • 2006 ProQuest Safari
    SU Catalog (SearchWorks) Click LINK above for Print location/circulation status.
    Arnold Robbins.
    Introduction -- Unix commands -- The Unix shell: an overview -- The Bash and Korn shells -- tcsh: an extended C shell -- Package management -- Pattern matching -- The Emacs editor -- The vi, ex, and vim editors -- The sed editor -- The awk programming language -- Source code management: an overview -- The revision control system -- The concurrent versions system -- The subversion version control system -- The GNU make utility -- The GDB debugger -- Writing manual pages.
  • 2008 CRCnetBASE
    Hugh Cartwright ; chapter 10, Evolvable developmental systems, contributed by Nawwaf Kharma.
  • 2006 ProQuest Safari
    Paul Lomax, Tim Patrick ... [et al.].
  • 2005 ProQuest Safari
    Wei-Meng Lee .
  • 2014 ScienceDirect
    by Bernhard Preim, Charl P. Botha.
    This book offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. It includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered, and treatment planning, guidance, and training.
  • 2006 ProQuest Safari
    Doug Addison.
  • 2006 SUNet ID login required to search for this title
    by Steve Oualline.
  • ProQuest Safari
    Robbie Allen and Preston Gralla.
  • 2005 ProQuest Safari
    Preston Gralla.
  • 2005 ProQuest Safari
    David A. Karp, Tim O'Reilly, and Troy Mott, additional material by Richard Cobbett.
  • 2012 CRCnetBASE
    Wolfgang Osterhage.
    1. Introduction -- 2. WLAN -- 3. PDAs -- 4. Mobile phones -- 5. Bluetooth -- 6. Infrared -- 7. Security policy.
  • 2013 CRCnetBASE
    C. Pozrikidis.
    "Preface XML stands for extensible markup language. In fact, XML is not a language, but a systematic way of encoding and formatting data and statements contained in an electronic file according to a chosen tagging system. A tag may represent a general entity, a physical, mathematical, or abstract object, an instruction, or a computer language construct. The data can describe cars and trucks in a dealer's lot, the chapters of a book, the input or output of a scientific experiment or calculation, the eigenvalues of a matrix, and anything else that can be described by numbers and words. Data presentation and description In the XML framework, information is described and presented in the same doc- ument, thus circumventing the need for legends and explanations. For example, we may order: <breakfast> toast and eggs <breakfast> Further cooking instructions can be included between the breakfast tag enclosed by the pointy brackets (<>) and its closure denoted by the slash (/). Data reuse XML data (input) can be read by a person or parsed and processed by a program (application) that produces a new set of data (output.) Although the input is the same, the output depends on the interpretation of the tags formatting the data. The inherent polymorphism allows us to materialize the same original data in different ways. For example: 1. An author may write a book inserting formatting tags between words, equations, and figures according to xml conventions and grammar. The text (data) file can be processed to produce books with different appear- ances. 2. A scientist may write a finite-element code that produces output tagged according to xml conventions"-- Provided by publisher.
  • 2006 ProQuest Safari
    Sal Mangano.
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