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1. |
Record Nr. |
UNINA990001484920403321 |
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Autore |
Horton, H. Robert |
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Titolo |
Principi di biochimica / H. Robert Horton (et al.) |
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Pubbl/distr/stampa |
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Napoli : Guido Gnocchi Editore, c1995 |
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ISBN |
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Descrizione fisica |
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xxxviii, 676 p. : ill., col. ; 30 cm |
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Altri autori (Persone) |
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Moran, Laurence A. |
Ochs, Raymond S. |
Rawn, J. David |
Scrimgeour, K. Gray |
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Disciplina |
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Locazione |
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Collocazione |
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572-HOR-1A |
572-HOR-1 |
572-HOR-1B |
572-HOR-1D |
572-HOR-1C |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910502648603321 |
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Autore |
Perk Gila |
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Titolo |
Hemodynamics in the Echocardiography Laboratory / / Gila Perk |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2021] |
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©2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (147 pages) |
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Disciplina |
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Soggetti |
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Echocardiography |
Ecocardiografia |
Hemodinàmica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Intro -- Contents -- 1: General Principles -- 1.1 Doppler Principle -- 1.2 Bernoulli Principle -- 1.2.1 Bernoulli Equation (Fig. 1.2) -- 1.3 Wiggers Diagram -- 1.4 Summary and Final Points -- 2: Math in the Echo Lab -- 2.1 Volume Calculations -- 2.1.1 VTI-Based Technique -- 2.1.2 Border Tracing-Based Technique -- 2.2 Resistance Calculations -- 2.3 Continuity Principle -- 2.4 PISA (Proximal Isovelocity Surface Area) Calculation -- 2.5 Volumetirc Calculations -- 2.6 Summary and Final Points -- 3: Pulmonary Pressure: Beginner -- 3.1 Pulmonary Artery Systolic Pressure -- 3.2 Analyzing TR Spectral Doppler Envelope -- 3.3 Measuring Peak TR Velocity -- 3.4 Assessing Right Atrial Pressure -- 3.5 Interpreting the Data -- 3.6 Summary and Final Points -- 4: Pulmonary Pressure: Advanced -- 4.1 Pulmonary Artery Diastolic Pressure -- 4.2 Mean Pulmonary Artery Pressure -- 4.2.1 Calculating Mean PAP Based on Sys/Dias PAP -- 4.2.2 PI Early Diastolic Velocity -- 4.2.3 TR VTI -- 4.2.4 PA Acceleration Time -- 4.3 Pulmonary Vascular Resistance -- 4.3.1 Comparing TR ΔP and RVOT Flow -- 4.3.2 Calculating Pressure Drop and Flow across Pulmonary Circulation -- 4.4 Summary and Final Points -- 5: How Severe Is This MR -- 5.1 General Principles -- 5.2 Anatomic/Color Assessment for EROA -- 5.2.1 3D-Based Direct |
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Measurement of EROA -- 5.2.2 Vena Contracta Measurement -- 5.3 PISA Method -- 5.3.1 Pointers and Potential Pitfalls for the PISA Method -- 5.4 Color Doppler Assessment -- 5.5 Volumetric Calculations -- 5.6 Summary and Final Points -- 6: What Is Wrong with This MR: Part I -- 6.1 Case Presentation -- 6.2 Approach to an Unusual MR Tracing -- 6.3 Summary and Final Points -- 7: What's Wrong with This MR: Part II -- 7.1 Case Presentation -- 7.2 Approach to an Unusual MR Tracing -- 7.2.1 Low Peak Velocity. |
7.2.2 Abnormal MR Envelope Shape -- 7.3 Summary and Final Points -- 8: Why Is This Happening Now -- 8.1 First-Degree Heart Block -- 8.1.1 Approach to Abnormal MR Timing -- 8.2 High Degree Heart Block -- 8.2.1 Approach to Abnormal MR Timing -- 8.3 The Missing Atrial Contraction -- 8.3.1 Approach to Abnormal MR Timing -- 8.4 Summary and Final Points -- 9: Extreme Pulsus Alternans -- 9.1 Case Presentation -- 9.2 Summary and Final Points -- 10: Is This AI an Emergency -- 10.1 AI Quantification -- 10.2 AI Hemodynamics -- 10.3 Summary and Final Points -- 11: There's a Hole in the Heart: Part I -- 11.1 Approach to ASD Evaluation -- 11.2 Case Presentation -- 11.2.1 Anatomic Type of ASD -- 11.2.2 Shunt Direction -- 11.2.3 Magnitude of the Interatrial Shunt -- 11.2.4 Effect of the Shunt on Chamber Size and Function -- 11.2.5 Presence of Pulmonary Hypertension -- 11.2.6 Estimation of Pulmonary Vascular Resistance -- 11.3 Case Presentation -- 11.3.1 Shunt Direction -- 11.3.2 Magnitude of the Interatrial Shunt -- 11.3.3 Effect of the Shunt on Chamber Size and Function -- 11.3.4 Presence of Pulmonary Hypertension -- 11.3.5 Estimation of Pulmonary Vascular Resistance -- 11.4 Summary and Final Points -- 12: There's a Hole in the Heart: Part II -- 12.1 Approach to VSD Evaluation -- 12.2 Case Presentation -- 12.2.1 Anatomic Type of VSD -- 12.2.2 Quantifying the Degree of Shunt -- 12.2.3 VSD Flow and Intracardiac Pressures -- 12.2.4 Summary of Post MI VSD Case -- 12.3 Case Presentation -- 12.3.1 Anatomic Type of VSD -- 12.3.2 Quantifying the Degree of Shunt -- 12.3.3 VSD Flow and Intracardiac Pressures -- 12.3.4 Summary of VSD with Cardiomyopathy Case -- 12.4 Case Presentation -- 12.4.1 Anatomic Type of VSD -- 12.4.2 Quantifying the Degree of Shunt -- 12.4.3 VSD Flow and Intracardiac Pressures. |
12.4.4 Summary of VSD with RVOT Obstruction Case -- 12.5 Summary and Final Points -- 13: The Machinery Confusion -- 13.1 Case Presentation -- 13.1.1 Approach to PDA Evaluation -- 13.2 Summary and Final Points -- 14: All Those AS Gradients -- 14.1 Technical Considerations -- 14.2 Maximal Instantaneous Gradient -- 14.3 Mean Gradient -- 14.4 Peak-to-Peak Gradient -- 14.5 Summary and Final Points -- 15: Dynamic LVOT -- 15.1 Anatomic Imaging -- 15.2 Doppler Imaging -- 15.2.1 Color Doppler Imaging -- 15.2.2 Spectral Doppler Imaging -- 15.3 Summary and Final Points -- 16: The Futile Heart -- 16.1 Case Presentation -- 16.1.1 Unusual Flow into RA -- 16.1.2 Quantifying the Shunt -- 16.2 Summary and Final Points -- Index. |
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3. |
Record Nr. |
UNINA9910208952003321 |
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Autore |
Hurwitz Judith S. |
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Titolo |
Cognitive computing and big data analytics / / Judith Hurwitz, Marcia Kaufman, Adrian Bowles |
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Pubbl/distr/stampa |
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Indianapolis, Indiana : , : Wiley, , 2015 |
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©2015 |
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ISBN |
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1-118-89678-5 |
1-119-18364-2 |
1-118-89663-7 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (256 p.) |
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Disciplina |
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Soggetti |
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Expert systems (Computer science) |
Big data |
Artificial intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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The foundation of cognitive computing -- Design principles for cognitive systems -- Natural language processing in support of a cognitive system -- The relationship between big data and cognitive computing -- Representing knowledge in taxonomies and ontologies -- Applying advanced analytics to cognitive computing -- The role of cloud and distributed computing in cognitive computing -- The business implications of cognitive computing -- IBM's Watson as a cognitive system -- The process of building a cognitive application -- Building a cognitive healthcare application -- Smarter cities : cognitive computing in government -- Emerging cognitive computing areas -- Future applications for cognitive computing. |
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Sommario/riassunto |
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A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated |
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evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level o... |
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