Books by Subject
- 2003 ProQuest SafariChristiansen, Tom; Torkington, Nathan.Also available: Print – 2003
- 2002 ProQuest SafariDuncan, Andy; Still, Jared.
- 2002 ProQuest SafariPatwardhan, Nate; Siever, Ellen; Spainhour, Stephen.
- 2007 CRCnetBASEBardram, Jakob E.; Mihailidis, Alex; Wan, Dadong.Overview of healthcare, disease, and disability / Jeffrey Kaye, Tracy Zitzelberger -- Computer science tools and techniques / Martha E. Pollack, Bart Peintner -- Pervasive computing in hospitals / Jakob E. Bardram, Heribert Baldus, Jesus Favela -- Pervasive computing in the home and community / Donald J. Patterson, Henry A. Kautz, Dieter Fox, Lin Liao -- Mobile and personal health and wellness management systems / Elina Mattila, Ilkka Korhonen, Niilo Saranummi -- Sensors and wearable technologies for pervasive healthcare / Sungmee Park, Sundaresan Jayaraman -- Assistive technologies / Edmund LoPresti -- Human factors and usability of healthcare systems / Andre Kushniruk, Elizabeth Borycki -- Routes and requirements for realizing pervasive medical devices / Michael P. Craven -- User evaluation in pervasive healthcare / Tim Adlam, Roger Orpwood, Teresa Dunn -- The business of pervasive healthcare / Dadong Wan, Luis E. Taveras.
- 2007 books24x7, SUNet ID login required.2007 ProQuest SafariUlrich-Fuller, Laurie; Fuller, Robert C.
- 2012 CRCnetBASEBlinowska-Cieślak, Katarzyna J.; Zygierewicz, J.1. Introductory concepts -- 2. Single channel (univariate) signal -- 3. Multiple channels (multivariate) signals -- 4. Application to biomedical signals.
- 2012 CRCnetBASEHancock, Monte.What is data mining and what can it do? -- The data mining process -- Problem definition (Step 1) -- Data evaluation (Step 2) -- Feature extraction and enhancement (Step 3) -- Prototyping plan and model development (Step 4) -- Model evaluation (Step 5) -- Implementation (Step 6) -- Supervised learning Genre section 1 - Detecting and characterizing known patterns -- Forensic analysis Genre Section 2 -Detecting, characterizing, and exploiting hidden patterns -- Genre Section 3 - Knowledge : Its acquisition, representation, and use.
- 2007 CRCnetBASEProkscha, Susanne.Also available: Print – 2007
- 2001 ProQuest SafariBowman, Judith S.; Darnovsky, Marcy; Emerson, Sandra L.SQL and relational database management -- Designing databases -- Creating and filling a database -- Selecting data from the database -- Sorting data and other selection techniques -- Grouping data and reporting from it -- Joining tables for comprehensive data analysis -- Structuring queries with subqueries -- Creating and using views -- Security, transactions, performance, and integrity -- Solving business problems.Also available: Print – 2001
- 2012 SpringerBenson, Tim.Part 1. Principles of Health Interoperability -- The Health Information Revolution -- Why Interoperability is Hard -- Models -- UML and XML -- Privacy -- Standards Development Organizations -- Part 2. HL7 and Interchange Formats -- HL7 Version 2 -- The HL7 V3 RIM -- Constrained Information Models -- Clinical Document Architecture -- HL7 Dynamic Model -- IHE XDS -- Part 3. SNOMED and Terminology -- Clinical Terminology -- Coding and Classification Schemes -- SNOMED CT -- SNOMED CT Concept Model -- Using SNOMED and HL7 Together.
- 2007 SpringerHild, Ed; Adams, Susie.
- 2008 SpringerWesterink, Joyce H. D. M.
- 2005 CRCnetBASEChang, Kang-Tsung.
- 2007 ProQuest SafariSegaran, Toby.
- 2012 CRCnetBASELawrence, Michael; Verzani, John."Preface About this book Two common types of user interfaces in statistical computing are the command line interface (CLI) and the graphical user interface (GUI). The usual CLI consists of a textual console in which the user types a sequence of commands at a prompt, and the output of the commands is printed to the console as text. The R console is an example of a CLI. A GUI is the primary means of interacting with desktop environments, such as Windows and Mac OS X, and statistical software, such as JMP. GUIs are contained within windows, and resources, such as documents, are represented by graphical icons. User controls are packed into hierarchical drop-down menus, buttons, sliders, etc. The user manipulates the windows, icons, and menus with a pointer device, such as a mouse. The R language, like its predecessor S, is designed for interactive use through a command line interface (CLI), and the CLI remains the primary interface to R. However, the graphical user interface (GUI) has emerged as an effective alternative, depending on the specific task and the target audience. With respect to GUIs, we see R users falling into three main target audiences: those who are familiar with programming R, those who are still learning how to program, and those who have no interest in programming. On some platforms, such as Windows and Mac OS X, R has graphical front-ends that provide a CLI through a text console control. Similar examples include the multi-platform RStudioTM IDE, the Java-based JGR and the RKWard GUI for the Linux KDE desktop. Although these interfaces are GUIs, they are still very much in essence CLIs, in that the primary mode of interacting with R is the same. Thus, these GUIs appeal mostly to those who are comfortable with R programming"-- Provided by publisher.
- 2005 ProQuest SafariAscher, David; Martelli, Alex; Ravenscroft, Anna Martelli.
- 2010 CRCnetBASEBassi, Sebastian.I. PROGRAMMING. 1. Introduction -- 2. First Steps with Python -- 3. Basic Programming: Data Types -- 4. Programming: Flow Control -- 5. Dealing with Files -- 6. Code Modularizing -- 7. Error Handling -- 8. Introduction to Object Orienting Programming (OOP) -- 9. Regular Expressions --- II. BIOPYTHON. 10. Introduction to Biopython --- III. ADVANCED TOPICS. 11. Web Applications -- 12. XML -- 13. Python and Databases -- 14. Collaborative Development: Version Control --- IV. PYTHON RECIPES WITH COMMENTED SOURCE CODE. 15. Sequence Manipulation in Batch -- 16. Web Application for Filtering Vector Contamination -- 17. Searching for PCR Primers Using Primer3 -- 18. Calculating Melting Temperature from a Set of Primers -- 19. Filtering out Specific Fields from a Genbank File -- 20. Converting XML Blast File into HTML -- 21. Inferring Splicing Sites -- 22. DNA Mutations with Restrictions -- 23. Web Server for Multiple Alignment -- 24. Drawing Marker Positions Using Data Stored in a Database --- Appendixes. A. Python and Biopython Installation -- B. Selected Papers -- C. Included DVD: Virtual Machine Installation and Use -- D. Python Language Reference -- E. Answers to Odd-Numbered Questions -- F. Python Style Guide.
- 2006 ScienceDirectMelton, Jim; Buxton, Stephen.XML -- Querying -- Querying XML -- Metadata, an overview -- Structural metadata -- The XML information set (Infoset) and beyond -- Managing XML : transforming and connecting -- Storing : XML and databases -- XPath 1.0 and XPath 2.0 -- Introduction to XQuery 1.0 -- XQuery 1.0 definition -- What's missing? -- XQuery APIs -- SQL/XML -- XML-derived markup languages -- Internationalization : putting the "W" in "WWW" -- Finding stuff.
- 2007 WileySU Catalog (SearchWorks) Click LINK above for Print location/circulation status.Crawley, Michael J.Preface -- 1. Getting started -- 2. Essentials of the R language -- 3. Data input -- 4. Dataframes -- 5. Graphics -- 6. Tables -- 7. Mathematics -- 8. Classical tests -- 9. Statistical modelling -- 10. Regression -- 11. Analysis of variance -- 12. Analysis of covariance -- 13. Generalized linear models -- 14. Count data -- 15. Count data in tables -- 16. Proportion data -- 17. Binary response variables -- 18. Generalized additive models -- 19. Mixed-effects models -- 20. Non-linear regression -- 21. Tree models -- 22. Time series analysis -- 23. Multivariate statistics -- 24. Spatial statistics -- 25. Survival analysis -- 26. Simulation models -- 27. Changing the look of graphics -- References and further reading -- Index.
- 2012 CRCnetBASEHay-Jahans, Christopher."Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: Those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters.This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures"-- Provided by publisher.
- 2011 ProQuest SafariTeetor, Paul.
- 2006 CRCnetBASEMurrell, Paul.
- 2011 CRCnetBASEMurrell, Paul.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.
- R graphs cookbook : detailed hands-on recipes for creating the most useful types of graphs in R-starting from the simplest versions to more advanced applications2011 ProQuest SafariMittal, Hrishi V.
- 2010 ProQuest SafariAdler, Joseph.
- 2012 CRCnetBASEEkstrøm, Claus Thorn.
- 2005 ScienceDirectHoltzblatt, Karen; Wendell, Jessamyn Burns; Wood, Shelley.
- 2002 WileyCheng, Albert M. K.ch. 1. Introduction, p. 1-9 -- ch. 2. Analysis and Verification of Non-Real-Time Systems, p. 10-40 -- ch. 3. Real-Time Scheduling and Schedulability Analysis, p. 41-85 -- ch. 4. Model Checking of Finite-State Systems, p. 86-133 -- ch. 5. Visual Formalism, Statecharts, and Statemate, p. 134-147 -- ch. 6. Real-Time Logic, Graph-Theoretic Analysis, and Modechart, p. 148-186 -- ch. 7. Verification Using Timed Automata, p. 187-211 -- ch. 8. Timed Petri Nets, p. 212-236 -- ch. 9. Process Algebra, p. 237-258 -- ch. 10. Design and Analysis of Propositional-Logic Rule-Based Systems, p. 259-366 -- ch. 11. Timing Analysis of Predicate-Logic Rule-Based Systems, p. 367-435 -- ch. 12. Optimization of Rule-Based Systems, p. 436-465.
- 2009 CRCnetBASEPanik, Michael J.Review of fundamental of statistics -- Bivariate linear regression and correlation -- Misspecified disturbance terms -- Nonparametric regression -- Logistic regression -- Bayesian regression -- Robust regression -- Fuzzy regression -- Random coefficients regression -- L1 and q-Quantile regression -- Regression in a spatial domain -- Multiple regression -- Normal correlation models -- Ridge regression -- Indicator variables -- Polynomial model estimation -- Semiparametric regression -- Nonlinear regression -- Issues in time series modeling and estimation.
- 2012 SpringerCecchi, Guillermo A.; Ravishankar Rao, A.Introduction -- Adaptation and contraction theory for the synchronization of complex neural networks -- Temporal coding is not only about cooperation, it is also about competition -- Using non-oscillatory dynamics to disambiguate pattern mixtures -- Functional constraints on network topology via generalized sparse -- Evolution of time in neural networks, from the present to the past, and forward to the future -- Synchronization of coupled pulse-type hardware neuron models for CPG model -- A univesal abstract-time platform for real-time neural networks -- Solving complex control tasks via simple rule(s), using chaotic dynamics in a recurrent neural network model -- Time scale analysis of neuronal ensemble data used to feed neural network models -- Simultaneous EEG-fMRI, integrating spatial and temporal resolution -- Erratum to: Time scale analysis of neuronal ensemble data used to feed neural network models.
- 2014 SpringerWatanabe, Go.1. Overview of robotic surgery -- 2. The de Vinci Surgical® systesm -- 3. Development of robotic systems -- 4. Robotic surgery in urology -- 5. Robotic gastrectomy for gastric cancer -- 6. Esophageal cancer surgery: robotic esophagectomy - 7. Lateral pelvic node dissection for advanced rectal cancer: current debates and use of the robotic approach -- 8. Cardiac surgery: overview -- 9. Robotically assisted totally endoscopic coronary artery bypass grafting -- 10. Robotic surgery for mitral valve disease -- 11. Robotic surgery in general thoracic surgery -- 12. Robot-assisted thyroidectomy.
- 2015 SpringerFormisano, Giampaolo; Marano, Alessandra; Spinoglio, Giuseppe.This book describes the current applications of the robotic system in general surgery, focusing on the technical aspects of the procedures most commonly performed by this means. It provides a comprehensive overview of the state of the art in robotic surgery and presents the most recently available evidence as documented in the literature. The opening chapters review robotic platforms, discuss the general advantages, limitations, and strategies of robotic surgery, and identify challenges and critical elements when setting up a robotic program. The full range of applications of the robotic system is then covered, encompassing thoracic, esophageal, gastric, hepatobiliopancreatic, splenic, colorectal, endocrine, and transplantation surgery. Detailed attention is also paid to innovative applications and future trends in the robotic platform, with inclusion of a special chapter on fluorescence imaging during robotic procedures. The book closes by considering aspects related to credentialing and privileging, such as mentoring, proctoring, and teaching modules for residents and fellows. Against the background of increasing acceptance of the robotic surgery system across the globe, this book will be invaluable for all general surgeons. There is no doubt that within general surgery the system will continue to flourish on account of its undoubted technical advantages, which minimize most of the intrinsic shortcomings of laparoscopy.
- 2002 ProQuest SafariMatsumoto, Yukihiro.
- 2006 ProQuest SafariDalheimer, Matthias Kalle; Welsh, Matt.
- 2014 CRCnetBASEKleinman, Ken; Horton, Nicholas J.1. Data input and output -- 2. Data management -- 3. Statistical and mathematical functions -- 4. Programming and operating system interface -- 5. Common statistical procedures -- 6. Linear regression and ANOVA -- 7. Regression generalizations and modeling -- 8. A graphical compendium -- 9. Graphical options and configuration -- 10. Simulation -- 11. Special topics -- 12. Case studies.
- 2010 CRCnetBASEKleinman, Ken; Horton, Nicholas J.
- 2007 books24x7, SUNet ID login required.2007 ProQuest SafariMcDaniel, Stephen.
- 2010 ProQuest Safari2010 books24x7, SUNet ID login required.Cody, Ronald P.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.
- Scientific and statistical database management : 20th international conference, SSDBM 2008, Hong Kong, China, July 9-11, 2008 : proceedings2008 SpringerLudäscher, Bertram; Mamoulis, Nikos.
- 2008 ProQuest SafariSedgewick, Jerry.Also available: Print – 2008
- Bates, Seth; Smith, Tony.
- Bates, Seth; Smith, Tony.
- 2012 SpringerJoseph, Jean V.; Patel, Hitendra R. H.Lessons Learned from the Aviation Industry: Surgical Checklists / Stig Müller and Hitendra R. H. Patel -- Human Factors, Nontechnical Skills, and Surgical Training / Stig Müller, Waleed Al-Singary and Hitendra R. H. Patel -- Current State of Laparoscopic and Robotic Surgery / Jens J. Rassweiler, Marcel Hruza, Thomas Frede and Salvatore Micali -- Simulation and Training in Minimally Invasive Surgery / Sonal Arora, Shabnam Undre and Roger Kneebone -- Value of Virtual Reality in Medical Education / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- The MIMIC Virtual Reality Trainer: Stepping into Three-Dimensional, Binocular, Robotic Simulation / Steven M. Lucas and Chandru P. Sundaram -- Laparoscopic Cholecystectomy Skills Acquisition and Procedural Proficiency in Novices Using Virtual Reality / Amina A. Bouhelal, Hitendra R. H. Patel and Bijendra Patel -- Lesson Learnt from the Military Surgeons Using Simulation in Trauma Surgery / Simon S. Fleming and John-Joe Reilly -- Clinical and Educational Benefits of Surgical Telementoring / Knut Mague Augestad, Taridzo Chomutare, Johan G. Bellika, Andrius Budrionis and Rolv-Ole Lindsetmo, et al. -- Portable Learning and Multimedia in Surgical Training / Narinderjit Singh Kullar, Stig Müller and Hitendra R. H. Patel.
- 2013 SpringerMeskó, Bertalan.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.
- 2008 CRCnetBASESanchez, Julio; Canton, Maria P.
- 2013 SpringerTaylor, J. G.This book details a model of consciousness supported by scientific experimental data from the human brain. It presents how the Corollary Discharge of Attention Movement (CODAM) neural network model allows for a scientific understanding of consciousness as well as provides a solution to the Mind-Body problem. The book provides readers with a general approach to consciousness that is powerful enough to lead to the inner self and its ramifications for the vast range of human experiences. It also offers an approach to the evolution of human consciousness and features chapters on mental disease (especially schizophrenia) and on meditative states (including drug-induced states of mind). Solving the Mind-Body Problem bridges the gap that exists between philosophers of mind and the neuroscience community, allowing the enormous weight of theorizing on the nature of mind to be brought to earth and put under the probing gaze of the scientific facts of life and mind.
- 2006 ProQuest SafariMolinaro, Anthony.Retrieving records -- Sorting query results -- Working with multiple tables -- Inserting, updating, deleting -- Metadata queries -- Working with strings -- Working with numbers -- Date arithmetic -- Date manipulation -- Working with ranges -- Advanced searching -- Reporting and warehousing -- Hierarchical queries -- Odds 'n' ends.
- 2006 SUNet ID login required to search for this titleTaylor, Allen G.
- 2005 books24x7, SUNet ID login required.Jones, Arie.
- 2005 books24x7, SUNet ID login required.Schmuller, Joseph.
- 2010 CRCnetBASEFernandez, George.
- 2012 CRCnetBASESumma, Mireille Gettler."Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology. The book also addresses issues of origin and evolutions in the unsupervised data analysis arena, and presents some approaches for time series, symbolic data, and functional data. Over the history of multidimensional data analysis, more and more complex data have become available for processing. Supervised machine learning, semi-supervised analysis approaches, and unsupervised data analysis, provide great capability for addressing the digital data deluge. Exploring the foundations and recent breakthroughs in the field, Statistical Learning and Data Science demonstrates how data analysis can improve personal and collective health and the well-being of our social, business, and physical environments. "-- Provided by publisher.
- 2007 CRCnetBASEDoberkat, Ernst-Erich.
- v. 184, 212-213, 216, 2005, 2007. SpringerAlso available: Print – v. 83, 2002.
- 2008Succinct guide to Windows users migrating to the Mac.
- 2008 SpringerSadun, Erica.A guide to the iPhone discusses the features of the device, including the iPhone media and the QWERTY keyboard, as well as its e-mail, voicemail, and calendar functions; Internet connectivity and applications; third-party software to enhance the iPhone; iTunes, iBooks, and iPhone games; power user applications; and accessories
- 2010 ProQuest SafariWatson, Lonzell.Exploring the iPad -- Understanding what you can do with your iPad -- Configuring the iPad -- Getting the most from the internet -- Maximizing email on the iPad -- Syncing the iPad -- Getting the most from iTunes and photos -- Getting the most from YouTube and iBooks -- Managing contacts and appointments -- Simplifying your life with the iPad -- Enhance your iPad with the app store -- Maintaining and troubleshooting the iPad.
- 2005 WileyPorter, Alan L.; Cunningham, Scott W.Part I. Understanding Tech Mining -- Chapter 1. Technological Innovation and the Need for Tech Mining , p. 2-15 -- Chapter 2. How Tech Mining Works, p. 17-32 -- Chapter 3. What Tech Mining Can Do for You, p. 33-40 -- Chapter 4. Example Results. Fuel Cells Tech Mining, p. 41-50 -- Chapter 5. What to Watch for in Tech Mining, p. 51-66 -- Part II. Doing Tech Mining -- Chapter 7. Forming the Right Query, p. 95-111 -- Chapter 8. Getting the Data, p. 113-127 -- Chapter 9. Basic Analyses, p. 129-154 -- Chapter 10. Advanced Analyses, p. 155-186 -- Chapter 11. Trend Analyses, p. 187-214 -- Chapter 12. Patent Analyses, p. 215-248 -- Chapter 13. Generating and Presenting Innovation Indicators, p. 249-288 -- Chapter 14. Managing the Tech Mining Process, p. 289-306 -- Chapter 15. Measuring Tech Mining Results, p. 307-320 -- Chapter 16. Example Process. Tech Mining on Fuel Cells, p. 321-354 -- Appendix A. Selected Publication and Patent Databases, p. 355-359 -- Appendix B. Text Mining Software, p. 361-362 -- Appendix C. What You Can Do without Tech Mining Software, p. 363-364 -- Appendix D. Statistics and Distributions for Analyzing Text Entities, p. 365-368.
- 2013 CRCnetBASEHu, Fei.Pt. 1. System : tele-healthcare monitoring networks -- pt. 2. Hardware : medical sensors and devices -- pt. 3. Software : medical signal processing -- pt. 4. Others : medical security and privacy.
- 2011 SpringerLarner, A. J."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.
- 2010Gilja, Vikash; Meng, Teresa H.; Ng, Andrew Y.; Shenoy, Krishna V.By restoring the ability to move and communicate with the world, brain machine interfaces (BMIs) offer the potential to improve quality of life for people suffering from spinal cord injury, stroke, or neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS). BMIs attempt to translate measured neural signals into the user's intentions and, subsequently, control a computer or actuator. Recently, compelling examples of intra-cortical BMIs have been demonstrated in tetraplegic patients. Although these studies provide a powerful proof-of-concept, clinical viability is impeded by limited performance and robustness over short (hours) and long (days) timescales. We address performance and robustness over short time periods by approaching BMIs as a systems level design problem. We identify key components of the system and design a novel BMI from a feedback control perspective. In this perspective, the brain is the controller of a new plant, defined by the BMI, and the actions of this BMI are witnessed by the user. This simple perspective leads to design advances that result in significant qualitative and quantitative performance improvements. Through online closed loop experiments, we show that this BMI is capable of producing continuous endpoint movements that approach native limb performance and can operate continuously for hours. We also demonstrate how this system can be operated across days by a bootstrap procedure with the potential to eliminate an explicit recalibration step. To examine the use of BMIs over longer timescales, we develop new electrophysiology tools that allow for continuous multi-day neural recording. Through application of this technology, we measure the signal acquisition stability (and instability) of the electrode array technology used in current BMI clinical trials. We also demonstrate how these systems can be used to study BMI decoding over longer time periods. In this demonstration, we present a simple methodology for switching BMI systems on and off at appropriate times. The algorithms and methods demonstrated can be run with existing low power application specific integrated circuits (ASICs), with a defined path towards the development of a fully implantable neural interface system. We believe that these advances are a step towards clinical viability and, with careful user interface design, neural prosthetic systems can be translated into real world solutions.
- 2006 CRCnetBASERhem, Anthony J.
- 2007 ProQuest SafariPachev, Alexander Sasha.
- 2012 CRCnetBASEAltman, Yair M."Preface The Matlab programming environment uses Java for numerous tasks, including networking, data-processing algorithms, and graphical user-interface (GUI). Matlab's internal Java classes can often be easily accessed and used by Matlab users. Matlab also enables easy access to external Java functionality, either third-party or user-created. Using Java, we can extensively customize the Matlab environment and application GUI, enabling the creation of very esthetically pleasing applications. Unlike Matlab's interface with other programming languages, the internal Java classes and the Matlab-Java interface were never fully documented by The MathWorks (TMW), the company that manufactures the Matlab product. This is really quite unfortunate: Java is one of the most widely used programming languages, having many times as many programmers as Matlab. Using this huge pool of knowledge and components can significantly improve Matlab applications. As a consultant, I often hear clients claim that Matlab is a fine programming platform for prototyping, but is not suitable for real-world modern-looking applications. This book aimed at correcting this misconception. It shows how using Java can significantly improve Matlab program appearance and functionality and that this can be done easily and even without any prior Java knowledge. In fact, many basic programming requirements cannot be achieved (or are difficult) in pure Matlab, but are very easy in Java. As a simple example, maximizing and minimizing windows is not possible in pure Matlab, but is a trivial one-liner using the underlying Java codeʹ:"--Provided by publisher.
- 2005 ProQuest SafariRumbaugh, James; Booch, Grady; Jacobson, Ivar.
- 2006 ProQuest SafariSU Catalog (SearchWorks) Click LINK above for Print location/circulation status.Robbins, Arnold.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.
- 2007 books24x7, SUNet ID login required.Kelly, Julia; Simmons, Curt.
- 2007 books24x7, SUNet ID login required.Clark, David J.
- 2008 CRCnetBASECartwright, Hugh M.; Kharma, Nawwaf.
- 2006 books24x7, SUNet ID login required.Mueller, John.
- 2006 ProQuest SafariLomax, Paul; Patrick, Tim.
- 2005 ProQuest SafariLee, Wei Meng.
- 2014 ScienceDirectPreim, Bernhard; Botha, Charl.This book offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. It includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered, and treatment planning, guidance, and training.
- 2006 ProQuest SafariAddison, Doug.
- 2006 SUNet ID login required to search for this titleOualline, Steve.
- Allen, Robbie; Gralla, Preston.PrintLane Catalog Record
- 2005 ProQuest SafariGralla, Preston.
- 2005 ProQuest SafariKarp, David A.; Cobbett, Richard; Mott, Troy; O'Reilly, Tim.
- 2012 CRCnetBASEOsterhage, Wolfgang.1. Introduction -- 2. WLAN -- 3. PDAs -- 4. Mobile phones -- 5. Bluetooth -- 6. Infrared -- 7. Security policy.
- 2013 CRCnetBASEPozrikidis, C."Preface XML stands for extensible markup language. In fact, XML is not a language, but a systematic way of encoding and formatting data and statements contained in an electronic file according to a chosen tagging system. A tag may represent a general entity, a physical, mathematical, or abstract object, an instruction, or a computer language construct. The data can describe cars and trucks in a dealer's lot, the chapters of a book, the input or output of a scientific experiment or calculation, the eigenvalues of a matrix, and anything else that can be described by numbers and words. Data presentation and description In the XML framework, information is described and presented in the same doc- ument, thus circumventing the need for legends and explanations. For example, we may order: <breakfast> toast and eggs <breakfast> Further cooking instructions can be included between the breakfast tag enclosed by the pointy brackets (<>) and its closure denoted by the slash (/). Data reuse XML data (input) can be read by a person or parsed and processed by a program (application) that produces a new set of data (output.) Although the input is the same, the output depends on the interpretation of the tags formatting the data. The inherent polymorphism allows us to materialize the same original data in different ways. For example: 1. An author may write a book inserting formatting tags between words, equations, and figures according to xml conventions and grammar. The text (data) file can be processed to produce books with different appear- ances. 2. A scientist may write a finite-element code that produces output tagged according to xml conventions"-- Provided by publisher.
- 2006 ProQuest SafariMangano, Sal.
- Harrison's Principles of Internal Medicine
- AAP Red Book Online
- Robbins & Cotran Pathologic Basis of Disease
- Sabiston Textbook of Surgery
- Nelson's Textbook of Pediatrics
- Surgical Exposures in Orthopaedics
- Mandell, Douglas, & Bennett's Principles & Practice of Infectious Diseases
- Red Book Online
- ICU Book
- Primary Care Medicine
- Campbell-Walsh Urology
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A repository of medical knowledge from internal medicine, cardiology, genetics, pharmacy, diagnosis and management, basic sciences, patient care, and more.
Continuously expanding, all databases in the repository contain the latest editions of selected medical titles.MicroMedex: Premier pharmaceutical information source containing multiple databases and drug reference tools. Of particular value is DRUGDEX Evaluations, one of the most comprehensive drug sources available.DynaMed is a clinical information resource used by physicians to answer clinical questions quickly and easily at the point of care. Topics are updated daily as new evidence becomes available.Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings.A drug information resource containing: American Hospital Formulary System (AHFS), drug formulary for Lucile Packard Children's Hospital (LPCH) and Stanford Hospital & Clinics (SHC), Lexi-Drugs (adverse reactions, dosage and administration, mechanism of action, storage, use, and administration information), Lexi-Calc, Lexi-ID, Lexi-I.V. Compatibility (King Guide), Lexi-Interact, and Lexi-PALS.Cumulative Index to Nursing and Allied Health Literature (CINAHL) contains coverage of nursing and allied health literature.A knowledge database that provides access to topic reviews based on over 6000 clinically relevant articles. The evidence-based content, updated regularly, provides the latest practice guidelines in 59 medical specialtiesProvides critical assessments of systematic reviews compiled from a variety of medical journals.Selects from the biomedical literature original studies and systematic reviews that are immediately clinically relevant and then summarizes these articles in an enhanced abstract with expert commentary.
Multidisciplinary coverage of over 10,000 high-impact journals in the sciences, social sciences, and arts and humanities, as well as international proceedings coverage for over 120,000 conferences.
Includes cited reference searching, citation maps, and an analyze tool.
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.
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.