Books by Subject

Computers

  • Digital
    Siddhartha Chaudhuri.
    Creating detailed three-dimensional shapes on the computer is hard. The standard tools for the task are complex and require long training and familiarization. As a result, 3D modeling is typically the domain of the professional artist and not the casual user. Professionals invest the time to master their tools, but such tools are usually restricted to low-level sculpting operations. High-level reasoning and geometric manipulation, of which computers are well capable, are not used to help the artist reach her goals more efficiently or creatively. In this dissertation, I propose techniques by which computers, endowed with a greater understanding of the structure of shapes, can both support the creative pursuits of professionals, as well as significantly ease the burden of 3D modeling for the casual user. To this end, I describe methods for generating "suggestions" during the 3D modeling process: component shapes that may be directly used to augment the currently-modeled shape, or to inspire directions for its further development. These suggestions are drawn from a large library of previously-modeled shapes. Also, I discuss the construction of an assembly-based modeling tool that enables casual users to rapidly construct shapes from suggested components, with minimal training. Experiments with both professional and casual users suggest that this approach successfully supports rapid, creative 3D modeling.
  • Digital
    Paul Teetor.
    ProQuest Safari2011
  • Digital
    Jung W. Suh, Youngmin Kim.
    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
    Safiya Umoja Noble.
    ProQuest Ebook Central2018
    A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance.
  • Digital
    Ron Sun.
    OSO2016
  • Digital
    Surendra Mohan.
    ProQuest Safari2014
  • Digital
    Ariel Alonso, Theophile Bigirumurame, Tomasz Burzykowski, Marc Buyse, Geert Molenberghs, Leacky Muchene, Nolen Joy Perualila, Ziv Shkedy, Wim Van der Elst.
    TandFonline2017
    I. Introductory material -- II. Contemporary surrogate endpoint evaluation methods : multiple-trial methods -- III. Software tools -- IV. Additional considerations and further topics.
  • Digital
    edited by Hugh Cartwright.
    Springer2015
    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.
    Springer2008
    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.).
    Springer2008
  • Digital
    Cliff Atkinson
    ProQuest Safari2007
    A guide to using Microsoft PowerPoint describes how to use storytelling techniques to create effective business presentations.
  • Digital
    by Tien Tuan Dao, Marie-Christine Ho Ba Tho.
    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.
    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.
    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.
    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.
    Springer2012
    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
    Christophe Lalanne, Mounir Mesbah.
    ScienceDirect2017
    1. Language elements -- 2. Simple descriptive statistics -- 3. Measures of association, comparison of means or proportions -- 4. Correlation, linear regression -- 5. Logistic regression -- 6. Survival curves, cox regression -- Appendix A. Introduction to SAS studio -- Appendix B. Introduction to SAS Macro -- Appendix C. Introduction to SAS IML.
  • Digital
    edited by Damien Coyle.
    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.
    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.
    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.
    Springer2008
  • Digital
    edited by Alex Dmitrienko, Erik Pulkstenis.
    TandFonline2017
  • Digital
    edited by Fran C. Blumberg, Patricia J. Brooks.
    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
    Adam I. Levine, Samuel DeMaria Jr., Andrew D. Schwartz, Alan J. Sim, editors.
    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.
    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).
    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.
    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.
    Springer2008
  • Digital
    Morris F. Collen.
    Springer2012
  • Digital/Print
    edited by Michael L. Johnson, Ludwig Brand.
    Digital : ScienceDirectpt. A, 2009
    Digital : ScienceDirectpt. B, 2009
    Digital : ScienceDirectpt. C, 2011
  • Digital
    editor, C H Chen.
    Wortd Scientific2014
    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.
    Springer2008
  • Digital
    Thomas D. Parsons.
    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
    Luís Torgo.
    TandFonline2017
    I. R and data mining -- II. Case studies.
  • Digital
    Graham Williams.
    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
    by Samuel Buttrey, Lyn R. Whitaker.
    Wiley2018
    1. R -- 2. R data, part 1: vectors -- 3. R data, part 2: more complicated structures -- 4. R data, part 3: text and factors -- 5. Writing functions and scripts -- 6. Getting data into and out of R -- 7. Data handling in practice -- 8. Extended exercise -- A. Hints and pseudocode -- Bibliography -- Index.
  • Print
    principal investigators, J.W. Bellville, G.F. Franklin.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Ruixiang Zhang.
    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.
    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.
    Springer2009
  • Print
    Robert Wachter.
    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.
    Springer2013
  • Digital
    Suchi Saria.
    The current unprecedented rate of digitization of longitudinal health data --- continuous device monitoring data, laboratory measurements, medication orders, treatment reports, reports of physician assessments --- allows visibility into patient health at increasing levels of detail. A clearer lens into this data could help improve decision making both for individual physicians on the front lines of care, and for policy makers setting national direction. However, this type of data is high-dimensional (an infant with no prior clinical history can have more than 1000 different measurements in the ICU), highly unstructured (the measurements occur irregularly, and different numbers and types of measurements are taken for different patients) and heterogeneous (from ultrasound assessments to lab tests to continuous monitor data). Furthermore, the data is often sparse, systematically not present, and the underlying system is non-stationary. Extracting the full value of the existing data requires novel approaches. In this thesis, we develop novel methods to show how longitudinal health data contained in Electronic Health Records (EHRs) can be harnessed for making novel clinical discoveries. For this, one requires access to patient outcome data --- which patient has which complications. We present a method for automated extraction of patient outcomes from EHR data; our method shows how natural languages cues from the physicians notes can be combined with clinical events that occur during a patient's length of stay in the hospital to extract significantly higher quality annotations than previous state-of-the-art systems. We develop novel methods for exploratory analysis and structure discovery in bedside monitor data. This data forms the bulk of the data collected on any patient yet, it is not utilized in any substantive way post collection. We present methods to discover recurring shape and dynamic signatures in this data. While we primarily focus on clinical time series, our methods also generalize to other continuous-valued time series data. Our analysis of the bedside monitor data led us to a novel use of this data for risk prediction in infants. Using features automatically extracted from physiologic signals collected in the first 3 hours of life, we develop Physiscore, a tool that predicts infants at risk for major complications downstream. Physiscore is both fully automated and significantly more accurate than the current standard of care. It can be used for resource optimization within a NICU, managing infant transport to a higher level of care and parental counseling. Overall, this thesis illustrates how the use of machine learning for analyzing these large scale digital patient data repositories can yield new clinical discoveries and potentially useful tools for improving patient care.
  • Digital
    John K. Kruschke.
    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.
    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
    Sharona Hoffman, Case Western Reserve University School of Law.
    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
    editor-in-chief, Hossein Bidgoli.
    ScienceDirect2003
  • Digital
    edited by Kirsty Forrest, Judy McKimm, Simon Edgar.
    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.
    Status: Not Checked OutLane Catalog Record
  • Digital
    Anthony G. Gallagher, Gerald C. O'Sullivan.
    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
    Michael O'Neill, Leonardo Vanneschi, Steven Gustafson, Anna Isabel Esparcia Alcazar, Ivanoe De Falco, Antonio Della Cioppa, Ernesto Tarantino, editors.
    Springer2008
  • Digital
    Hadley Wickham.
    Springer2009
    Describes ggplot2, a data visualization package for R and a powerful and flexible system for creating data graphics.
  • Digital
    Nils Lindefors, Gerhard Andersson, editors.
    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
    editors, Alan Robinson and Andrei Voronkov.
    ScienceDirect2001
  • Digital
    Manuel Ferre (ed.).
    Springer2008
  • Digital/Print
    by Baron Schwartz ... [et al.].
    Digital : ProQuest Safari2008
    Print2008
  • Digital
    Baron Schwartz, Peter Zaitsev, Vadim Tkachenko.
    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.
    TandFonline2017
  • Digital
    Executive Office of the President, President's Council of Advisors on Science and Technology.
  • Digital
    edited by Maristella Agosti.
    Springer2008
  • Digital
    Andreas Kerren ... (ed.).
    Springer2008
  • Digital
    J.D. Biersdorfer.
    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.
    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.
    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.
    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
    Deepayan Sarkar.
    Springer2008
  • Digital
    Randal L. Schwartz, Tom Phoenix, and Brian D. Foy.
    2008Click LINK above for Print location/circulation status.
    ProQuest Safari2008
  • Digital
    Succinct guide for Windows users migrating to the Mac.
  • Digital
    Drew Conway and John Myles White.
    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.
    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/Print
    James D. Tisdall.
    Digital : ProQuest Safari2003
    Print2003
  • Digital
    Stormy Attaway.
    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.
    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
    Pascal Wallisch ... [et al.].
    ScienceDirect2009
  • Digital
    Pascal Wallisch, Michael E. Lusignan, Marc D. Benayoun, Tanya I. Baker, Adam S. Dickey, Nicholas G. Hatsopoulous.
    ScienceDirect2014
  • Digital
    Mauro Borgo, Alessandro Soranzo, Massimo Grassi.
    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
    Naakesh A. Dewan, John S. Luo, Nancy M. Lorenzi, editors.
    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] Zhaohui Wu, Huajun Chen, Xiaohong Jiang, Zhejiang University, Hangzhou, China.
    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
    Ayman S. El-Baz, Rajendra Acharya U, Majid Mirmehdi, Jasjit S. Suri.
    Springerv.1 (2011)
    Springerv.2 (2011)
  • Digital
    Erik Lee Nylen, Parsec Media, New York, NY, United States, Pascal Wallisch, New York University, New York, NY United States.
    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
    Andy Hector, Professor of Ecology, Department of Plant Sciences, University of Oxford.
    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.
    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
    edited by Jon Brown.
    Wiley2017
    "Addressing issues of increasing importance in today's internet-enabled society, Online Risk to Children brings together the most up-to-date theory, policy, and best practices for online child protection and abuse prevention"-- Provided by publisher.
  • Digital
    Roy C.P. Kerckhoffs, editor.
    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
    Girolamo Mattioli, Paolo Petralia, editors.
    Springer2017
  • Digital/Print
    Tom Christiansen and Nathan Torkington.
    Digital : ProQuest Safari2003
    Print2003
  • Digital
    Tim Benson.
    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
    edited by Joyce H.D.M. Westerink ... [et al.].
    Springer2008
  • Digital
    Jake VanderPlas.
    ProQuest Safari2017
    IPython: beyond normal Python -- Introduction to NumPy -- Data manipulation with Pandas -- Visualization with Matplatlib -- Machine learning.
  • Digital
    Ajay Ohri.
    Wiley2018
    Short on theory and long on actionable analytics, this definitive guide provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations of R to Python and Python to R. -- Edited summary from book.
  • Digital
    John M. Stewart, Department of Applied, Mathematics & Theoretical Physics, University of Cambridge.
    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
    Paul Teetor.
    ProQuest Safari2011
  • Digital
    Hadley Wickham and Garrett Grolemund.
    ProQuest Safari2016
    "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
    Hrishi V. Mittal.
    ProQuest Safari2011
  • Digital
    Joseph Adler.
    ProQuest Safari2010
  • Digital
    Claus Thorn Ekstrøm, University of Copenhagen, Denmark.
    TandFonline2016
    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.
    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
    A. Ravishankar Rao, Guillermo A. Cecchi, editors.
    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.
    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.
    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.

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Features systematic reviews that summarize the effects of interventions and makes a determination whether the intervention is efficacious or not.

Cochrane reviews are created through a strict process of compiling and analyzing data from multiple randomized control trials to ensure comprehensiveness and reliability.

Provides systematic coverage of the psychological literature from the 1800s to the present through articles, book chapters and dissertations.BMJ Clinical Evidence. A clinical information tool built around systematic reviews summarizing the current state of knowledge about prevention and treatment of clinical conditions.PIER (Physicians' Information and Education Resource) is a Web-based decision-support tool designed for rapid point-of-care delivery of up-to-date, evidence-based guidance for primary care physicians.Cochrane Central Register of Controlled Trials (CENTRAL) provides access to 300,000 controlled trials that have been identified the Cochrane Collaboration.Provides drug information targeted for patients.A continually updating drug monograph.The National Guideline Clearinghouse (NGC): A comprehensive database of evidence-based clinical practice guidelines and related documents.MedlinePlus: A repository of health information from the National Library of Medicine. Links are from trusted sites. No advertising, no endorsement of commercial companies or productsLPCH CareNotes via MicroMedex: Patient education handouts customized by LPCH clinical staffMicromedex Lab Advisor: Evidence based laboratory test informationA drug database organized by generic name, trade name and drug class.LPCH / Stanford Hospital Formulary.A goldmine of trusted consumer health information from the world's largest medical library.A trusted source of expert advice for and about kids, providing the information necessary to help patients and parents understand their unique needs.Provides patient handouts from the American Academy of Family Physician.Access to the Stanford Health Library for patients.Lane provides access to over 5,000 eBooks many of which provide helpful background material that will prepare you to better tackle primary literature.

Largest, broadest eBook package; covers all sciences, as well as technology (including software), medicine, and humanities.

In addition to covering Wiley and Springer, MyiLibrary is also the only provider for Oxford and Cambridge University Press titles. No seat restrictions.

A collection of biomedical books that can be searched directly by concept, and linked to terms in PubMed abstracts.

A web-based, decision support system for infectious diseases, epidemiology, microbiology and antimicrobial chemotherapy. The database, updated weekly, currently includes 337 diseases, 224 countries, 1,147 microbial taxa and 306 antibacterial (-fungal, -parasitic, -viral) agents and vaccines.

Over 10,000 notes outline the status of specific infections within each country.

Large number of high quality software and database programming titles from O'Reilly. Other software titles are also available from Sams and Prentice Hall. Limited to 7 concurrent users.Vast collection of software and database programming titles from multiple publishers, including Microsoft Press.Largest provider of engineering-related eBooks; includes titles in computer science and biomedical engineering.Over 4,000 full-text e-books covering scientific and technical information from CRC Press and others. Many handbooks and single volume reference sources.Includes peer-reviewed life science and biomedical research protocols compiled from Methods in Molecular Biology, Methods in Molecular Medicine, Methods in Biotechnology, Methods in Pharmacology and Toxicology, Neuromethods, the Biomethods Handbook, the Proteomics Handbook, and Springer Laboratory Manuals.Contains full text access to selected biomedical and nursing books.

Provides online, full-text access to Springer's journal titles as well as journals from other publishers.

Subjects include: life sciences, chemical sciences, environmental sciences, geosciences, computer science, mathematics, medicine, physics and astronomy, engineering and economics. Also includes eBooks.

Collection of over 8 thousand fulltext titles in engineering, math, and basic and applied biomedical research. Coverage is from 1967 to the present.A library of ebooks on a wide array of topics, digitized and made available online in conjunction with the original publishers.