Tabla de Contenidos: “…-- Farah Magrabi, Ibrahim Habli, Mark Sujan, David Wong, Harold Thimbleby, Maureen Baker, Enrico Coiera -- Technologies that transform: digital solutions for optimising medicines use in the NHS -- Stephen John Goundrey-Smith -- Communications -- Human factors challenges for the safe use of artificial intelligence in patient care -- Mark Sujan, Dominic Furniss, Kath Grundy, Howard Grundy, David Nelson, Matthew Elliott, Sean White, Ibrahim Habli, Nick Reynolds -- Recording problems and diagnoses in clinical care: developing guidance for healthcare professionals and system designers -- Anoop Dinesh Shah, Nicola J Quinn, Afzal Chaudhry, Ralph Sullivan, Julian Costello, Dermot O'Riordan, Jan Hoogewerf, Martin Orton, Lorraine Foley, Helene Feger, John G Williams -- Editorial -- Welcome to BMJ Health & Care Informatics -- Philip Scott -- Original Article -- Large retrospective analysis on frailty assessment in primary care: electronic Frailty Index versus frailty coding -- Pablo Millares-Martin -- Original Research -- Patient perceptions and interactions with their web portal-based laboratory results -- Sean Robinson, Melissa Reed, Travis Quevillon, Ed Hirvi -- Small interface changes have dramatic impacts: how mandatory fields in electronic medical records increased pertussis vaccination rates in Australian obstetric patients -- Roberto Orefice, Julie A Quinlivan -- Potential impact of data source and interoperability messaging on health information technology (HIT) users: a study series from the United States Department of Veterans Affairs -- Jennifer Herout, Donna Baggetta, Amanda Cournoyer, Aaron S Dietz, Jane Robbins, Kyle Maddox, Jolie Dobre -- Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study -- Katy E Trinkley, Weston W Blakeslee, Daniel D Matlock, David P Kao, Amanda G Van Matre, Robert Harrison, Cynthia L Larson, Nic Kostman, Jennifer A Nelson, Chen-Tan Lin, Daniel C Malone -- Reliability of comorbidity scores derived from administrative data in the tertiary hospital intensive care setting: a cross-sectional study -- Michael Hua-Gen Li, Anastasia Hutchinson, Mark Tacey, Graeme Duke -- Conformity of Diabetes Mobile apps with the Chronic Care Model -- Raheleh Salari, Sharareh R Niakan Kalhori, Marjan Ghazisaeidi, Farhad Fatehi -- Digital innovation evaluation: user perceptions of innovation readiness, digital confidence, innovation adoption, user experience and behaviour change -- Tim Benson -- Dietitians can improve accuracy of prescribing by interacting with electronic prescribing systems -- Susan De Waal, Laurie Lucas, Simon Ball, Tanya Pankhurst -- Lessons learned from a comprehensive electronic patient record procurement process-implications for healthcare organisations -- W Priestman, R Collins, H Vigne, S Sridharan, L Seamer, D Bowen, N J Sebire -- Trend of intestinal infectious diseases recorded at a tertiary care hospital in India: an ICD-10 analysis -- P N Roopalekha Jathanna, Ramya Vijeta, Vinod R Jathanna -- Developing a telerehabilitation programme for postoperative recovery from knee surgery: specifications and requirements -- MReza Naeemabadi, Birthe Dinesen, Ole Kæseler Andersen, Niels Kragh Madsen, Ole Højgaard Simonsen, John Hansen -- Interventions to improve the use of EMRs in primary health care: a systematic review and meta-analysis -- Noura Hamade, Amanda Terry, Monali Malvankar-Mehta -- Web and mobile-based technologies for monitoring high-risk pregnancies -- Haleh Ayatollahi, Malihe Ghalandar Abadi, Morteza Hemmat -- Characteristics of patients with body mass index recorded within the Kent Integrated Dataset (KID) -- Zara Cuccu, Gerrard Abi-Aad, Allison Duggal -- Growth of health literacy research activity in three Middle Eastern countries -- Soheila Bazm, Reihaneh Bazm, Farzaneh Sardari -- Effectiveness of the eCARE programme: a short message service for asthma monitoring -- Lathy Prabhakaran, Yap Chun Wei -- Design and virtual implementation of a biomedical registry framework for the enhancement of clinical trials: colorectal cancer example -- Athanasios Kotoulas, George Lambrou, Dimitrios-Dionysios Koutsouris -- Coding and classifying GP data: the POLAR project -- Christopher Pearce, Adam McLeod, Jon Patrick, Jason Ferrigi, Michael Michael Bainbridge, Natalie Rinehart, Anna Fragkoudi -- Ontology to identify pregnant women in electronic health records: primary care sentinel network database study -- Harshana Liyanage, John Williams, Rachel Byford, Simon de Lusignan -- An intervention study to assess potential effect and user experience of an mHealth intervention to reduce sedentary behaviour among older office workers -- Simone Boerema, Lex van Velsen, Hermie Hermens -- Availability and usage of clinical decision support systems (CDSSs) in office-based primary care settings in the USA -- Xia Jing, Lina Himawan, Timothy Law -- NHS Scotland's Decision Support Platform: a formative qualitative evaluation -- Kathrin Cresswell, Margaret Callaghan, Hajar Mozaffar, Aziz Sheikh -- Two algorithms for the reorganisation of the problem list by organ system -- Daniel B Hier, Joshua Pearson -- Design and implementation of the stacked, synchronised and iconographic timeline-structured electronic patient record in a UK NHS Global Digital Exemplar hospital -- Alan Arthur Hales, David Cable, Eleanor Crossley, Callum Findlay, David Anthony Rew -- e-Therapies in England for stress, anxiety or depression: how are apps developed? …”

Tabla de Contenidos: “…Object Mode -- Transform -- Set Origin -- Mirror -- Clear and Apply -- Snap -- Duplicate -- Link/Transfer Data -- Join -- Convert -- Show/Hide -- Delete -- Edit Mode -- Mesh Visualization -- Normals -- Normal Configuration -- Auto Smooth -- The Toolbar in Edit Mode -- Other Modeling Tools in Edit Mode -- Duplicate (Shift+D) -- Fill: Make Edge/Face (F) -- Deleting &amp -- Dissolving (X) -- Merge Vertices (M) -- Separate (P) -- Bridge Edges Loops -- Triangles to Quads (Alt+J) -- Add Mesh Add-Ons -- Sculpting -- Brush Settings -- Preparing the Object -- Preparing the Interface -- Sculpting Tools -- Adding Resolution -- Remesh -- Dyntopo -- Modeling with Modifiers -- Generate Modifiers -- Array -- Bevel -- Boolean -- Decimate -- Geometry Nodes -- Mirror -- Multiresolution -- Remesh -- Skin -- Solidify -- Subdivision Surface -- Deform Modifiers -- Displace -- Wave -- Exercises: The Mad Hatter's Tea Party -- Exercise 1: Modeling a Teapot -- Setting the File -- Creating the Base Shape -- Creating the Handle and Spout -- Separating the Cover -- Creating the Teapot Base -- Exercise 2: Creating a Glass -- Setting the File -- Preparing the Basic Object -- Creating the Profile and Screwing It -- Summary -- Chapter 3: Building a 3D Environment -- Modeling for Architecture -- Precision Drawing -- Importing and Exporting CAD File Formats -- CAD Drawing Tools -- FreeCAD -- QCAD -- ODA File Converter -- Blender 3.0 Measuring Tools -- Annotate -- Measure -- Measurement -- MeasureIt -- Blender 3.0 Add-ons for Architectural Modeling -- Preinstalled Add-ons -- Edit Mesh Tools -- Precision-Drawing-Tools (PDT) -- Scatter -- Tiny CAD Mesh Tools -- Bool Tool -- Sapling Tree Gen and Modular Tree -- External Add-ons -- QBlocker -- Blender GIS -- Procedural and Parametric Modeling -- Add-ons for Procedural and Parametrical Modeling -- Internal Add-ons -- Archimesh -- Tissue…”

Tabla de Contenidos: “…-- Transformation for Performance -- Hyper-Threading Versus Multithreading -- Programming Models -- Why We Could Skip To Section II Now -- For More Information -- Chapter 2: Knights Landing overview -- Overview -- Instruction Set -- Architecture Overview -- Tile -- Mesh: On-Die Interconnect -- Cluster modes -- MCDRAM (High-Bandwidth Memory) and DDR (DDR4) -- I/O (PCIe Gen3) -- Motivation: Our Vision and Purpose -- Performance -- Summary -- For More Information -- Chapter 3: Programming MCDRAM and Cluster modes -- Use Cache Mode and Default Cluster Mode (at First) -- Programming for Cluster Modes -- Programming for Memory Modes -- Memory Usage Models -- What Is the memkind Library (and hbwmalloc)? …”

Tabla de Contenidos: “…. -- How it works... -- RADOS load-gen -- How to do it... -- How it works... -- There's more... -- Benchmarking the Ceph Block Device -- How to do it... -- How it works... -- See also -- Benchmarking Ceph RBD using FIO -- How to do it... -- See Also -- Ceph admin socket -- How to do it... -- Using the ceph tell command -- How to do it... -- Ceph REST API -- How to do it... -- Profiling Ceph memory -- How to do it... -- The ceph-objectstore-tool -- How to do it... -- How it works... -- Using ceph-medic -- How to do it... -- How it works... -- See also -- Deploying the experimental Ceph BlueStore -- How to do it... -- See Also -- Chapter 13: An Introduction to Troubleshooting Ceph -- Introduction -- Initial troubleshooting and logging -- How to do it... -- Troubleshooting network issues -- How to do it... -- Troubleshooting monitors -- How to do it... -- Troubleshooting OSDs -- How to do it... -- Troubleshooting placement groups -- How to do it... -- There's more... -- Chapter 14: Upgrading Your Ceph Cluster from Hammer to Jewel -- Introduction -- Upgrading your Ceph cluster from Hammer to Jewel…”

Tabla de Contenidos: “…Chapter 6: Extending the Unified Theory of Acceptance and use of technology model to understand the trainees' acceptance and usage of Internet of Things (IoT) by skill development course -- 6.1 Introduction -- 6.2 Theoretical background and hypothesis -- 6.3 Performance expectancy -- 6.4 Effort expectancy -- 6.5 Social influence -- 6.6 Computer self-efficacy -- 6.7 Relative advantage -- 6.8 Facilitating conditions -- 6.9 Behavior intention and actual usage -- 6.10 Research methodology -- 6.11 Measurement -- 6.12 Data analysis and research findings -- 6.12.1 Descriptive analysis -- 6.12.2 Measurement model -- 6.12.3 Structural model -- 6.13 Discussion and conclusion -- References -- Chapter 7: Intelligent approaches for disease detection and prevention -- 7.1 Introduction -- 7.2 Artificial intelligence, Internet of Things, and blockchain technology -- 7.2.1 Artificial intelligence -- 7.2.2 Machine learning -- 7.2.3 Internet of Things -- 7.2.4 Blockchain technology -- 7.3 Detection, prevention and treatment of disease -- 7.3.1 Diabetes mellitus -- 7.3.2 Cardiovascular Disease (CVD) -- 7.3.3 Chronic Kidney Disease (CKD) -- 7.3.4 Coronavirus disease (COVID-19) -- 7.4 Conclusion -- References -- Chapter 8: Interoperability in IoT-driven smart buildings: Employing Rule-based decision support systems -- 8.1 Introduction: background and driving forces -- 8.2 The necessity of decision support inbuilding energy subsystems -- 8.3 Decision support model for BEMS -- 8.4 Opportunities and challenges for BEMS interoperability -- 8.5 Conclusion and future scope -- References -- Chapter 9: IoT-based parking system using Web-App -- 9.1 Introduction -- 9.2 Material and methods -- 9.3 Result and discussion -- 9.4 Conclusion -- References -- Chapter 10: A next-gen IoT-based semi-automatic mobile manipulator -- 10.1 Introduction -- 10.1.1 Classification of mobile robots…”

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