Books by Subject

all 223 titles

Computers

  • Digital
    Siddhartha Chaudhuri.
    Digital2011
    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.
  • Digital
    Paul Teetor.
    Digital : ProQuest Safari2011
  • Digital
    Jerry Joyce, Marianne Moon.
    Digital : ProQuest Safari2007
    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.
  • Digital
    Jung W. Suh, Youngmin Kim.
    Digital : ScienceDirect2014
    "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.
  • Digital
    Matthew MacDonald.
    Digital : ProQuest Safari2007
  • Digital
    Ken Bluttman and Wayne S. Freeze.
    Digital2007Click LINK above for additional Print location/circulation status.
    Digital : ProQuest Safari2007
    Print2007
  • Digital
    Stephanie Krieger.
    Digital : ProQuest Safari2007
  • Digital
    Ron Sun.
    Digital : OSO2016
  • Digital
    Surendra Mohan.
    Digital : ProQuest Safari2014
  • Digital
    Ding-Geng (Din) Chen, Karl E. Peace.
    Digital : CRCnetBASE2013
    "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.
  • Digital
    Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst.
    Digital : CRCnetBASE2017
    I. Introductory material -- II. Contemporary surrogate endpoint evaluation methods : multiple-trial methods -- III. Software tools -- IV. Additional considerations and further topics.
  • Digital
    Stephane Faroult with Peter Robson.
    Digital : ProQuest Safari2006
  • Digital
    edited by Hugh Cartwright.
    Digital : Springer Protocols2015
    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.
  • Digital
    David J. Livingstone, editor.
    Digital : Springer Protocols2008
    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.].
  • Digital
    Lionel Prevost, Simone Marinai, Friedhelm Schwenker (eds.).
    Digital : Springer2008
  • Digital
    Brian D. Bissett.
    Digital2007Click LINK above for Print location/circulation status.
    Digital : CRCnetBASE2007
  • Digital
    Phil Woodward.
    Digital : CRCnetBASE2012
    "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.
  • Digital
    Jim Albert.
    Digital : Springer2007
    "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.
  • Digital
    David McMahon, Daniel M. Topa.
    Digital : CRCnetBASE2006
  • Digital
    Cliff Atkinson
    Digital : ProQuest Safari2007
    A guide to using Microsoft PowerPoint describes how to use storytelling techniques to create effective business presentations.
  • Digital
    editors, Robert Gentleman ... [et al.].
    Digital : Springer2005
    Print2005
  • Digital
    by Tien Tuan Dao, Marie-Christine Ho Ba Tho.
    Digital : Wiley2014
    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.
  • Digital
    Carlos Reyes-Aldasoro.
    Digital : Wiley2015
    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.
  • Digital
    [edited by] Joo Hwee Lim, Sim Heng Ong, Wei Xiong.
    Digital : Wiley2015
    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.
  • Digital
    Cimino, James J.; Shortliffe, Edward H.
    Digital : Springer2014
    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.
  • Digital
    edited by Luca Monticelli, Emppu Salonen.
    Digital : Springer Protocols2012
    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.
  • Digital
    edited by Damien Coyle.
    Digital : ScienceDirect2016
    Part I: User training. Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates / C. Jeunet, B. N?Kaoua, F. Lotte -- Part II: Non-invasive decoding of 3D hand and arm movements. From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach / G.R. Müller-Putz, A. Schwarz, J. Pereira, P. Ofner -- 3D hand motion trajectory prediction from EEG mu and beta bandpower / A. Korik, R. Sosnik, N. Siddique, D. Coyle -- Multisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees / H.A. Agashe, A.Y. Paek, J.L. Contreras-Vidal -- Part III: Patients studies and clinical applications. Brain?computer interfaces in the completely locked-in state and chronic stroke / U. Chaudhary, N. Birbaumer, A. Ramos-Murguialday -- Brain?machine interfaces for rehabilitation of poststroke hemiplegia / J. Ushiba, S.R. Soekadar -- Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation?A review / H. Yang, K.K. Ang, C. Wang, K.S. Phua, C. Guan -- A cognitive brain?computer interface for patients with amyotrophic lateral sclerosis / M.R. Hohmann, T. Fomina, V. Jayaram, N. Widmann, C. Förster, J. Just, M. Synofzik, B. Schölkopf, L. Schöls, M. Grosse-Wentrup -- Brain?computer interfaces for patients with disorders of consciousness / R.M. Gibson, A.M. Owen, D. Cruse -- Part IV: Non-medical applications. A passive brain?computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks / P. Aricò, G. Borghini, G. Di Flumeri, A. Colosimo, S. Pozzi, F. Babiloni -- 3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming / R. Beveridge, S. Wilson, D. Coyle -- Part V: BCI in practice and usability considerations. Interfacing brain with computer to improve communication and rehabilitation after brain damage / A. Riccio, F. Pichiorri, F. Schettini, J. Toppi, M. Risetti, R. Formisano, M. Molinari, L. Astolfi, F. Cincotti, D. Mattia -- BCI in practice / D.J. McFarland, T.M. Vaughan.
  • Digital
    edited by Maureen Clerc, Laurent Bougrain, Fabien Lotte.
    Digital : Wiley2016
    Anatomy of the nervous system -- Functional neuroimaging -- Cerebral electrogenesis -- Physiological markers for controlling active and reactive BCIs -- Neurophysiological markers for passive brain-computer interfaces -- Electroencephalography data preprocessing -- EEG feature extraction -- Analysis of extracellular recordings -- Statistical learning for BCIs -- Adaptive methods in machine learning -- Human learning for brain-computer interfaces -- Brain-computer interfaces for human-computer interaction -- Brain training with neurofeedback.
  • Digital
    Gerd Grübler, Elisabeth Hildt, editors.
    Digital : Springer2014
    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.
  • Digital
    Gerard O'Regan.
    Digital : Springer2008
  • Digital
    Digital
  • Digital
    Jeff Cogswell, Christopher Diggins, Ryan Stephens, Jonathan Turkanis.
    Digital : ProQuest Safari2006
    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.
  • Digital
    Joseph Albahari and Ben Albahari.
    Digital : ProQuest Safari2007
  • Digital
    Jay Hilyard, Stephen Teilhet.
    Digital : ProQuest Safari2006
  • Digital
    Ding-Geng (Din) Chen, Karl E. Peace.
    Digital : CRCnetBASE2011
    "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.
  • Digital
    A.K. Soman.
    Digital : CRCnetBASE2011
    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.
  • Digital
    edited by Fran C. Blumberg, Patricia J. Brooks.
    Digital : ScienceDirect2017
    Cognitive Development in Digital Contexts investigates the impact of screen media on key aspects of children and adolescents' cognitive development. Highlighting how screen media impact cognitive development, the book addresses a topic often neglected amid societal concerns about pathological media use and vulnerability to media effects, such as aggression, cyber-bullying and Internet addiction. It addresses children and adolescents' cognitive development involving their interactions with parents, early language development, imaginary play, attention, memory, and executive control, literacy and academic performance.
  • Digital
    Gabriel Valiente.
    Digital : CRCnetBASE2009
  • Digital
    Erik T. Mueller.
    Digital : ScienceDirect2006
  • Digital
    Adam I. Levine, Samuel DeMaria Jr., Andrew D. Schwartz, Alan J. Sim, editors.
    Digital : Springer2013
    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.
  • Digital
    Samuel Gross.
    Digital2010
    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.
  • Digital
    Rolf Haaker, Werner Konermann (editors).
    Digital : Springer2013
    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.
  • Digital
    edited by Lucas E. Ritacco, Federico E. Milano, Edmund Chao.
    Digital : Springer2016
    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.
  • Digital
    Seongil Lee, Hyunseung Choo, Sungdo Ha, In Chul Shin, editors.
    Digital : Springer2008
  • Digital
    Morris F. Collen.
    Digital : Springer2012
  • Digital
    edited by Michael L. Johnson, Ludwig Brand.
    Digital : ScienceDirectpt. A, 2009
    Digital : ScienceDirectpt. B, 2009
    Digital : ScienceDirectpt. C, 2011
  • Digital
    editor, C H Chen.
    Digital : WortdScientific2014
    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.
  • Digital
    Klaus Miesenberger, Joachim Klaus, Wolfgang Zagler, Arthur Karshmer, editors.
    Digital : Springer2008
  • Digital
    edited by Hyeoun-Ae Park, Peter Murray, and Connie Delaney.
    Digital : ProQuest Ebook Central2006
  • Digital
    Mark E. Gerow.
    Digital : Springer2006
  • Digital
    Thomas D. Parsons.
    Digital : Cambridge2017
    Cyberpsychology is a relatively new discipline that is growing at an alarming rate. While a number of cyberpsychology-related journals and books have emerged, none directly address the neuroscience behind it. This book proposes a framework for integrating neuroscience and cyberpsychology for the study of social, cognitive, and affective processes, and the neural systems that support them. A brain-based cyberpsychology can be understood as a branch of psychology that studies the neurocognitive, affective, and social aspects of humans interacting with technology, as well as the affective computing aspects of humans interacting with computational devices or systems. As such, a cyberpsychologist working from a brain-based cyberpsychological framework studies both the ways in which persons make use of devices and the neurocognitive processes, motivations, intentions, behavioural outcomes, and effects of online and offline uses of technology. 'Cyberpsychology and the Brain' brings researchers into the vanguard of cyberpsychology and brain research.
  • Digital
    edited by Kenneth D. Lawrence, Stephan Kudyba, Ronald K. Klimberg.
    Digital : CRCnetBASE2008
    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.].
  • Digital
    Luís Torgo.
    Digital : CRCnetBASE2011
    "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.
  • Digital
    Luís Torgo.
    Digital : CRCnetBASE2017
    I. R and data mining -- II. Case studies.
  • Digital
    Graham Williams.
    Digital : Springer2011
    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.
  • Digital
    Stephen M. Tobin.
    Digital : CRCnetBASE2011
    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.
  • Print
    principal investigators, J.W. Bellville, G.F. Franklin.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Ruixiang Zhang.
    Digital2012
    This dissertation describes the design, implementation, and experimentation of an autonomous free-climbing robot, Capuchin. The objective of our project is to create a multi-limbed robot capable of climbing vertical terrain autonomously using techniques similar to those used by human free climbers. When a "free" climber climbs a steep crag or an artificial climbing wall, she uses nothing else but her hands and feet to make contact with terrain features such as holes, cracks, ledges or protrusions. Unlike "aid" climbing, which uses special equipments, tools, or engineered features, free climbing only relies on friction at the contacts between the climber and the terrain. In order to make a multi-limbed robot climb in a similar way, four fundamental challenges must be addressed: robot design, sensing, motion planning and motion control. Our work focuses on robot design (including sensors) and motion control. However, our robot, Capuchin, is an integrated system including a simplified sensing system and a pre-existing motion planner running off-line. A good robot design can increase the inherent ability of the robot to climb complex terrain. It may also lead to better performance and make other issues easier, such as motion planning and control. A four-limb structure was chosen after consideration of the robot's capability and complexity. Simulation was used during the design process to optimize performance, in particular to maximize the workspace reachable by the end-effectors (fingers). Sensors have been selected to allow the robot to both acquire information about the terrain and control its motion. Each finger is equipped with a camera. Vision feedback allows the robot controller to accurately dock the finger on a terrain feature at a location computed by the planner. It also allows modifying a planned trajectory in real-time, when the terrain differs slightly from the model that had been used by the planner or when other small errors occur (for instance, if the robot slips slightly at a contact). Each finger is additionally equipped with a force sensor that gives the magnitude and orientation of the reaction force at a contact. The four force sensors are used by the robot controller to maintain the robot in quasi-static equilibrium, by adjusting the robot posture and the joint torques when needed, so that the reaction forces at the contact point continuously within their Coulomb friction cones. A two-stage motion planner previously developed by Bretl and Hauser for free-climbing and other multi-limbed robots navigating on challenging and irregular terrain is used in this work. This planner decomposes a climbing motion into a sequence of moves, each performed with a fixed set of robot-terrain contacts (this set is called a "stance"). The transition at the end of each move consists of either breaking a contact or making a new one. The planner first computes a sequence of stances. Next it computes a trajectory for the move to be performed at each stance. If it fails to find a move at one step, it considers another sequence of stances. The core part of our research has been the design of the motion controller. The main problem we had to solve is a multi-contact force control problem. One of our most important findings has been the following: for quasi-static climbing, it is not necessary, even not desirable, to continuously control the forces exerted by the robot at the contact points. Instead, it is preferable to continuously monitor these forces and perform joint torque adjustments only when some reaction forces get too close to the boundaries of the friction cones or to their maximal magnitude. This strategy was not obvious when we started our research. In fact, we first developed a motion controller that continuously adjusted joint torques to keep measured reaction forces as close as possible to the terrain normals at the contact points. But computing these adjustments is rather time consuming. Moreover, this approach leads the robot to perform delicate adjustments frequently. As a result, robot motion was neither as smooth, nor as reliable as we would have liked. Instead, our new approach, which we call "lazy" force control, leads to a faster servo rate and much smoother motion. Our experiments show that on average adjustments only amount for a small percentage (less than 10%) of the total time spent climbing. They also demonstrate that Capuchin can reliably climb vertical artificial climbing walls autonomously and can handle small errors in the terrain model used by the planner.
  • Digital
    Ronald Gieschke, Daniel Serafin.
    Digital : Springer2014
    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?
  • Digital
    Nancy B. Finn, William F. Bria.
    Digital : Springer2009
  • Print
    Robert Wachter.
    Print2015
    Status: Not Checked OutLane Catalog Record
    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.
  • Digital
    Luís Lanca, Augusto Silva.
    Digital : Springer2013
  • Digital
    Suchi Saria.
    Digital2011
    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.
  • Digital
    Werner Dubitzky, Assaf Schuster, Peter M.A. Sloot, Michael Schroeder, Mathilde Romberg (eds.).
    Digital : Springer2007
  • Digital
    John K. Kruschke.
    Digital : ProQuest Safari2011
    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.
  • Digital
    Joshua Bloch.
    Digital : ProQuest Safari2008
    Introduction -- Creating and destroying objects -- Methods common to all objects -- Classes and interfaces -- Generics -- Enums and annotations -- Methods -- General programming -- Exceptions -- Concurrency -- Serialization.
  • Digital
    edited by Dean F. Sittig, PhD.
    Digital : CRCnetBASE2014
    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.
  • Digital
    Sharona Hoffman, Case Western Reserve University School of Law.
    Digital : Cambridge2016
    "This book helps readers gain an in-depth understanding of electronic health record (EHR) systems, medical big data, and the regulations that govern them. It analyzes both the shortcomings and benefits of EHR systems, exploring the law's response to the creation of these systems, highlighting gaps in the current legal framework, and developing detailed recommendations for regulatory, policy, and technological improvements. Electronic Health Records and Medical Big Data addresses not only privacy and security concerns but also other important challenges, such as those related to data quality and data analysis. In addition, the author formulates a large body of recommendations to improve the technology's safety, security, and efficacy for both clinical and secondary (such as research) uses of medical data"-- Provided by publisher. "This book helps readers gain an in-depth understanding of electronic health record (EHR) systems, medical big data, and the regulations that govern them. It analyzes both the shortcomings and benefits of EHR systems, exploring the law's response to the creation of these systems, highlighting gaps in the current legal framework, and developing detailed recommendations for regulatory, policy, and technological improvements. Electronic Health Records and Medical Big Data addresses not only privacy and security concerns but also other important challenges, such as those related to data quality and data analysis"-- Provided by publisher.
  • Digital
    edited by M.Y. Kao.
    Digital : Springer2007
  • Digital
    editor-in-chief, Hossein Bidgoli.
    Digital : ScienceDirect2003
  • Digital
    edited by Kirsty Forrest, Judy McKimm, Simon Edgar.
    Digital : Wiley2013
    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.
  • Print
    by Kevin Pho and Susan Gay.
    Print2013
    Status: Not Checked OutLane Catalog Record
  • Digital
    John Walkenbach.
    Digital : ProQuest Safari2007
    Print2007
    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.
  • Digital
    David and Raina Hawley.
    Digital : ProQuest Safari2007
    Reducing workbook and worksheet frustration -- Hacking Excel's built-in features -- Naming hacks -- Hacking PivotTables -- Hacking formulas and functions -- Macro hacks -- Cross-application hacks.
  • Digital
    François Husson, Sébastien Lê, Jérôme Pagès.
    Digital : CRCnetBASE2011
    "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.
  • Digital
    Anthony G. Gallagher, Gerald C. O'Sullivan.
    Digital : Springer2012
    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.
  • Digital
    Rudolf Seising.
    Digital : Springer2007
  • Digital
    Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcazar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino, editors.
    Digital : Springer2008
  • Digital
    Hadley Wickham.
    Digital : Springer2009
    Describes ggplot2, a data visualization package for R and a powerful and flexible system for creating data graphics.
  • Print
    Jerri Ledford and Mary E. Tyler.
    Print2007
    Status: Not Checked OutLane Catalog Record
  • Digital
    Brian R. Hunt, Ronald L. Lipsman, Jonathan M. Rosenberg, with Kevin R. Coombes, John E. Osborn, and Garrett J. Stuck.
    Digital : ProQuest Ebook Central2006
    Print2006
  • Digital
    Andy H. Register.
    Digital : CRCnetBASE2007
  • Digital
    Nils Lindefors, Gerhard Andersson, editors.
    Digital : Springer2016
    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.
  • Digital
    edited by Teofilo F. Gonzalez.
    Digital : CRCnetBASE2007
  • Digital
    editors, Alan Robinson and Andrei Voronkov.
    Digital : ScienceDirect2001
  • Digital
    editors in chief, Emile Fiesler and Russell Beale.
    Digital : CRCnetBASE1997
  • Digital
    Arthur Li.
    Digital : CRCnetBASE2013
  • Digital
    Brian S. Everitt and Torsten Hothorn.
    Digital : CRCnetBASE2010
    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.
  • Digital
    Robert Ho.
    Digital2006Click LINK above for Print location/circulation status.
    Digital : CRCnetBASE2006
  • Digital
    Scott M. Strayer, Peter L. Reynolds, Mark H. Ebell, editors.
    Digital : Springer2005
    Print2005
  • Digital
    Manuel Ferre (ed.).
    Digital : Springer2008
  • Digital
    by Baron Schwartz ... [et al.].
    Digital : ProQuest Safari2008
    Print2008
  • Digital
    Baron Schwartz, Peter Zaitsev, Vadim Tkachenko.
    Digital : ProQuest Safari2012
    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.
  • Digital
    John Trinckes, Jr.
    Digital : CRCnetBASE2017
  • Digital
    edited by Andrew Sears and Julie A. Jacko.
    Digital : CRCnetBASE2008
    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.
  • Digital
    edited by E.Y.K. Ng, U. Rajendra Acharya, Aurélio Campilho, Jasjit S. Suri.
    Digital : CRCnetBASE2014
    "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.
  • Digital
    Ilias G. Maglogiannis, Kostas Karpouzis, Manolis Wallace.
    Digital2006
    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.
  • Digital
    Azad Adam.
    Digital : CRCnetBASE2008
  • Digital
    Executive Office of the President, President's Council of Advisors on Science and Technology.
    Digital2016
  • Digital
    edited by Maristella Agosti.
    Digital : Springer2008
  • Digital
    Teddy Furon, Francois Cayre, Gwenael Doerr, Patrick Bas, editors.
    Digital : Springer2007
  • Digital
    Andreas Kerren ... (ed.).
    Digital : Springer2008
  • Digital
    Randal L. Schwartz, Brian D. Foy, and Tom Phoenix.
    Digital : ProQuest Safari2006
    Print2006
  • Digital
    Owen Jones, Robert Maillardet and Andrew Robinson.
    Digital : CRCnetBASE2009
    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.
  • Digital
    J.D. Biersdorfer.
    Digital : ProQuest Safari2010
    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.
  • Digital
    J.D. Biersdorfer.
    Digital : ProQuest Safari2011
    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.
  • Digital
    by Edward C. Baig and Bob LeVitus.
    Digital : ProQuest Safari2010
    "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.
  • Digital
    Martin Trautschold and Gary Mazo.
    Digital : ProQuest Safari2010
    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.
  • Digital
    Dimitris Rizopoulos.
    Digital : CRCnetBASE2012
    "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.
  • Digital
    Deepayan Sarkar.
    Digital : Springer2008
  • Digital
    Seyed M.M. "Saied" Tahaghoghi and Hugh E. Williams.
    Digital2006Click LINK above for Print location/circulation status.
    Digital : ProQuest Safari2006
  • Digital
    Randal L. Schwartz, Tom Phoenix, and Brian D. Foy.
    Digital2008Click LINK above for Print location/circulation status.
    Digital : ProQuest Safari2008
  • Digital
    by Michele E. Davis and Jon A. Phillips.
    Digital : ProQuest Safari2007
  • Digital
    Mark Lutz.
    Digital : ProQuest Safari2007
  • Digital
    Michael Fitzgerald.
    Digital : ProQuest Safari2007
  • Digital
    Digital2008
    Succinct guide for Windows users migrating to the Mac.
  • Digital
    Drew Conway and John Myles White.
    Digital : ProQuest Safari2012
    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.
  • Digital
    Issam El Naqa, Ruijiang Li, Martin J. Murphy, editors.
    Digital : Springer2015
    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.
  • Digital
    by Brian D. Foy.
    Digital2007Click LINK above for Print location/circulation status.
    Digital : ProQuest Safari2007
  • Digital
    James D. Tisdall.
    Digital : ProQuest Safari2003
    Print2003
  • Digital
    Jeffrey E.F. Friedl.
    Digital : ProQuest Safari2006
    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.
  • Digital
    Stormy Attaway.
    Digital : ScienceDirect2012
    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.
  • Digital
    Stormy Attaway.
    Digital : ScienceDirect2013
    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.
  • Digital
    Qing-Hua Qin, Hui Wang.
    Digital : CRCnetBASE2009
  • Digital
    Pascal Wallisch ... [et al.].
    Digital : ScienceDirect2009
  • Digital
    Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam S. Dickey, Nicholas G. Hatsopoulous.
    Digital : ScienceDirect2014
  • Digital
    Mauro Borgo, Alessandro Soranzo, Massimo Grassi.
    Digital : Springer2012
    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.
  • Digital
    Timothy A. Davis, Kermit Sigmon.
    Digital2005Click LINK above for additional Print location/circulation status.
    Digital : CRCnetBASE2005
    Print2005
  • Digital
    Naakesh A. Dewan, John S. Luo, Nancy M. Lorenzi, editors.
    Digital : Springer2015
    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.
  • Digital
    edited by Luis Rueda.
    Digital : CRCnetBASE2014
    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.
  • Digital
    John L. Viescas, Jeff Conrad.
    Digital : ProQuest Safari2007
    Print2007
    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.
  • Digital
    Jim Boyce, Beth Sheresh, Doug Sheresh.
    Digital : ProQuest Safari2007
  • Digital
    Teresa S. Stover.
    Digital : ProQuest Safari2007
  • Digital
    Mark H. Walker.
    Digital : ProQuest Safari2007
  • Digital
    Peter G. Aitken.
    Digital : ProQuest Safari2007
  • Digital
    Faithe Wempen.
    Digital : ProQuest Safari2007
  • Digital
    Elaine Marmel.
    Digital : ProQuest Safari2007
  • Digital
    Scot P. Hillier.
    Digital : Springer2006
  • Digital
    Scot Hillier.
    Digital : Springer2007
  • Digital
    Herb Tyson.
    Digital : ProQuest Safari2007
  • Digital
    [edited by] David Lo, Siau-Cheng Khoo, Jiawei Han, Chao Liu.
    Digital : CRCnetBASE2011
    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.
  • Digital
    [edited by] Zhaohui Wu, Huajun Chen, Xiaohong Jiang, Zhejiang University, Hangzhou, China.
    Digital : ScienceDirect2012
    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.
  • Digital
    edited by Bernadette Bouchon-Meunier, Giulianella Coletti, Ronald R. Yager.
    Digital : ScienceDirect2006
    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.
  • Digital
    Ayman S. El-Baz, Rajendra Acharya U, Majid Mirmehdi, Jasjit S. Suri.
    Digital : Springerv.1 (2011)
    Digital : Springerv.2 (2011)
  • Digital
    Paul DuBois.
    Digital : ProQuest Safari2007/2006
    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.
  • Digital
    by the Subcommittee on Networking and Information Technology Research and Development, Committee on Technology, National Science and Technology Council.
    Digital2007
  • Digital
    Erik Lee Nylen, Parsec Media, New York, NY, United States, Pascal Wallisch, New York University, New York, NY United States.
    Digital : ScienceDirect2017
    A Primer with MATLAB® and Python"!present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner's introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. Includes discussions of both MATLAB and Python in parallelIntroduces the canonical data analysis cascade, standardizing the data analysis flowPresents tactics that strategically, tactically, and algorithmically help improve the organization of code.
  • Digital
    Sandhya Samarasinghe.
    Digital : CRCnetBASE2007
  • Digital
    Andy Hector, Professor of Ecology, Department of Plant Sciences, University of Oxford.
    Digital : OSO2015
    Introduction -- Comparing groups : analysis of variance -- Comparing groups : student's t-test -- Linear regression -- Comparisons using estimates and intervals -- Interactions -- Analysis of covariance : ANCOVA -- Maximum likelihood and generalized linear models -- Generalized linear models for data with non-normal distributions -- Mixed-effects models -- Generalized linear mixed-effects models -- Final thoughts -- Appendix: A very short introduction to the R programming language for statistics and graphics.
  • Digital
    Alberta Ferrari, Adele Sgarella, Sandro Zonta, Editors ; foreword by Virgilio Sacchini.
    Digital : Springer2013
    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.
  • Digital
    Dieter Rasch, Jürgen Pilz, Rob Verdooren, Albrecht Gebhardt.
    Digital : CRCnetBASE2011
    "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.
  • Digital
    Roy C.P. Kerckhoffs, editor.
    Digital : Springer2010
    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.
  • Digital
    Tom Christiansen and Nathan Torkington.
    Digital : ProQuest Safari2003
    Print2003
  • Digital
    edited by Jakob E. Bardram, Alex Mihailidis, Dadong Wan.
    Digital : CRCnetBASE2007
    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.
  • Digital
    Laurie Ulrich Fuller, Robert C. Fuller.
    Digital : ProQuest Safari2007
  • Digital
    K.J. Blinowska, J. Zygierewicz.
    Digital : CRCnetBASE2012
    1. Introductory concepts -- 2. Single channel (univariate) signal -- 3. Multiple channels (multivariate) signals -- 4. Application to biomedical signals.
  • Digital
    Monte F. Hancock, Jr.
    Digital : CRCnetBASE2012
    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.
  • Digital
    Susanne Prokscha.
    Digital : CRCnetBASE2007
    Print2007
  • Digital
    Judith S. Bowman, Sandra L. Emerson, Marcy Darnovsky.
    Digital : ProQuest Safari2001
    Print2001
    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.
  • Digital
    Tim Benson.
    Digital : Springer2012
    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.
  • Digital
    Ed Hild with Susie Adams.
    Digital : Springer2007
  • Digital
    edited by Joyce H.D.M. Westerink ... [et al.].
    Digital : Springer2008
  • Digital
    Toby Segaran.
    Digital : ProQuest Safari2007
  • Digital
    Michael F. Lawrence, John Verzani.
    Digital : CRCnetBASE2012
    "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.
  • Digital
    Jake VanderPlas.
    Digital : ProQuest Safari2017
    Digital2017
    IPython: beyond normal Python -- Introduction to NumPy -- Data manipulation with Pandas -- Visualization with Matplatlib -- Machine learning.
  • Digital
    Sebastian Bassi.
    Digital : CRCnetBASE2010
    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.
  • Digital
    John M. Stewart, Department of Applied, Mathematics & Theoretical Physics, University of Cambridge.
    Digital : Cambridge2017
    1. Introduction -- 2. Getting started with IPython- - 3. A short Python tutorial -- 4. NumPy -- 5. Two-dimensional graphics -- 6. Multi-dimensional graphics -- 7. SymPy: a computer algebra system -- 8. Ordinary differential equations -- 9. Partial differential equations: a pseudospectral approach -- 10. Case study: multigrid.
  • Digital
    Jim Melton and Stephen Buxton.
    Digital : ScienceDirect2006
    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.
  • Digital
    Michael J. Crawley.
    Digital : Wiley2007
    Digital2007Click LINK above for Print location/circulation status.
    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.
  • Digital
    Christopher Hay-Jahans.
    Digital : CRCnetBASE2012
    "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.
  • Digital
    Paul Teetor.
    Digital : ProQuest Safari2011
  • Digital
    Hadley Wickham and Garrett Grolemund.
    Digital : ProQuest Safari2016
    Digital2016
    "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--Page 4 of cover.
  • Digital
    Paul Murrell.
    Digital2006Click LINK above for Print location/circulation status.
    Digital : CRCnetBASE2006
  • Digital
    Paul Murrell.
    Digital : CRCnetBASE2011
    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.
  • Digital
    Hrishi V. Mittal.
    Digital : ProQuest Safari2011
  • Digital
    Joseph Adler.
    Digital : ProQuest Safari2010
  • Digital
    Claus Thorn Ekstrøm.
    Digital : CRCnetBASE2012
  • Digital
    Claus Thorn Ekstrøm, University of Copenhagen, Denmark.
    Digital : CRCnetBASE2016
    Chapter 1. Importing and exporting data -- Chapter 2. Manipulating data -- Chapter 3. Statistical analyses -- Chapter 4. Graphics -- Chapter 5. R.
  • Digital
    Ken Herrmann, Omgo E. Nieweg, Stephen P. Povoski, editors.
    Digital : Springer2016
    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). .
  • Digital
    Michael Panik.
    Digital : CRCnetBASE2009
    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.
  • Digital
    A. Ravishankar Rao, Guillermo A. Cecchi, editors.
    Digital : Springer2012
    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.
  • Digital
    Go Watanabe, editor.
    Digital : Springer2014
    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.
  • Digital
    Giuseppe Spinoglio, editor ; in collaboration with Alessandra Marano and Giampaolo Formisano ; forewords by Giorgio De Toma, Francesco Corcione.
    Digital : Springer2015
    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.
  • Digital
    Matthias Kalle Dalheimer and Matt Welsh.
    Digital : ProQuest Safari2006
  • Digital
    Ken Kleinman, Nicholas J. Horton.
    Digital : CRCnetBASE2010
  • Digital
    Ken Kleinman, Nicholas J. Horton.
    Digital : CRCnetBASE2014
    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.
  • Digital
    Stephen McDaniel.
    Digital : ProQuest Safari2007
  • Digital
    Ron Cody.
    Digital : ProQuest Safari2010
    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.
  • Digital
    Bertram Ludäscher, Nikos Mamoulis (eds.).
    Digital : Springer2008
  • Digital
    Jerry Sedgewick.
    Digital : ProQuest Safari2008
    Print2008
  • Digital
    Seth Bates and Tony Smith.
    Digital : Springer2007
  • Digital
    Hitendra R.H. Patel, Jean V. Joseph, editors.
    Digital : Springer2012
    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.
  • Digital
    Bertalan Meskó.
    Digital : Springer2013
    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.
  • Digital
    guest editors, Megan A. Moreno, MD, MSED, MPH, Victor C. Strasburger, MD.
    Digital : ProQuest Ebook Central2014
    Today's teens are often referred to as Digital Natives due to their upbringing immersed in technological tools including smartphones and social media, while most of us who provide healthcare for this group remain at best, digital immigrants. These technologies present both new opportunities and challenges to teens' health, as well as their education and life experiences. Pediatricians can play a key role in helping teens and their families navigate critical issues such as balancing online and offline lives, as well as understand links between media and health. This issue of AM:STARS is mean.
  • Digital
    James Joseph Wagner.
    Digital2011
    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.
  • Digital
    Julio Sanchez, Maria P. Canton.
    Digital : CRCnetBASE2008
  • Digital
    John G. Taylor.
    Digital : Springer2013
    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.
  • Digital
    Anthony Molinaro.
    Digital : ProQuest Safari2006
    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.
  • Digital
    Allen G. Taylor.
    Digital2006SUNet ID login required to search for this title
  • Digital
    Chand Thomas John.
    Digital2012
    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.
  • Digital
    George Fernandez.
    Digital : CRCnetBASE2010
  • Digital
    edited by Mireille Gettler Summa, Léon Bottou, Bernard Goldfarb, Fionn Murtagh, Catherine Pardoux, and Myriam Touati.
    Digital : CRCnetBASE2012
    "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.
  • Digital
    Ernst-Erich Doberkat.
    Digital : CRCnetBASE2007
  • Digital
  • Digital
    Digital2008
    Succinct guide to Windows users migrating to the Mac.
  • Digital
    Erica Sadun.
    Digital : Springer2008
    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
  • Digital
    by Lonzell Watson.
    Digital : ProQuest Safari2010
    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.
  • Digital
    (ed.) Fei Hu. The University of Alabama, Electrical and Computer Engineering, Tuscaloosa, Alabama, USA.
    Digital : CRCnetBASE2013
    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.
  • Digital
    A.J. Larner.
    Digital : Springer2011
    "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.
  • Digital
    Vikash Gilja.
    Digital2010
    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.
  • Digital
    Sasha Pachev.
    Digital : ProQuest Safari2007
  • Digital
    Yair Altman.
    Digital : CRCnetBASE2012
    "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.
  • Digital
    James Rumbaugh, Ivar Jacobson, Grady Booch.
    Digital : ProQuest Safari2005
  • Digital
    Arnold Robbins.
    Digital : ProQuest Safari2006
    Digital2006Click LINK above for Print location/circulation status.
    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.
  • Digital
    Hugh Cartwright ; chapter 10, Evolvable developmental systems, contributed by Nawwaf Kharma.
    Digital : CRCnetBASE2008
  • Digital
    Paul Lomax, Tim Patrick ... [et al.].
    Digital : ProQuest Safari2006
  • Digital
    by Bernhard Preim, Charl P. Botha.
    Digital : ScienceDirect2014
    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.
  • Digital
    Doug Addison.
    Digital : ProQuest Safari2006
  • Digital
    by Steve Oualline.
    Digital2006SUNet ID login required to search for this title
  • Digital
    edited by Mary Mehrnoosh Eshaghian-Wilner.
    Digital : Wiley2016
    Provides a comprehensive overview of wireless computing in medicine, with technological, medical, and legal advances This book brings together the latest work of leading scientists in the disciplines of Computing, Medicine, and Law, in the field of Wireless Health. The book is organized into three main sections. The first section discusses the use of distributed computing in medicine. It concentrates on methods for treating chronic diseases and cognitive disabilities like Alzheimer's, Autism, etc. It also discusses how to improve portability and accuracy of monitoring instruments and reduce the redundancy of data. It emphasizes the privacy and security of using such devices. The role of mobile sensing, wireless power and Markov decision process in distributed computing is also examined. The second section covers nanomedicine and discusses how the drug delivery strategies for chronic diseases can be efficiently improved by Nanotechnology enabled materials and devices such as MENs and Nanorobots. The authors will also explain how to use DNA computation in medicine, model brain disorders and detect bio-markers using nanotechnology. The third section will focus on the legal and privacy issues, and how to implement these technologies in a way that is a safe and ethical. -Defines the technologies of distributed wireless health, from software that runs cloud computing data centers, to the technologies that allow new sensors to work -Explains the applications of nanotechnologies to prevent, diagnose and cure disease -Includes case studies on how the technologies covered in the book are being implemented in the medical field, through both the creation of new medical applications and their integration into current systems -Discusses pervasive computing's organizational benefits to hospitals and health care organizations, and their ethical and legal challenges Wireless Computing in Medicine: From Nano to Cloud with Its Ethical and Legal Implications is written as a reference for computer engineers working in wireless computing, as well as medical and legal professionals. The book will also serve students in the fields of advanced computing, nanomedicine, health informatics, and technology law.
  • Digital
    Wolfgang Osterhage.
    Digital : CRCnetBASE2012
    1. Introduction -- 2. WLAN -- 3. PDAs -- 4. Mobile phones -- 5. Bluetooth -- 6. Infrared -- 7. Security policy.
  • Digital
    C. Pozrikidis.
    Digital : CRCnetBASE2013
    "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.
  • Digital
    Sal Mangano.
    Digital : ProQuest Safari2006
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