Search Results - "management

Pathology of Sharp Force Trauma by Vanezis, Peter

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EXPLORING DISCOVERY The front door to your library's licensed and digitized content

Table of Contents: “…Kidder -- Geospatial resource discovery / Darren Hardy, Jack Reed, and Bess Sadler -- Discovery on a shoestring : implementing a full-functioned discovery tool with free software and no-extra-charge metadata sources / Julia Bauder -- Agile open-source discovery : Blacklight with EBSCO Discovery Service / Sam Popowich -- Using Blacklight for archival discovery / Adam Wead and Jennie Thomas -- Creating a "magical" request and delivery experience for patrons using a Blacklight-based catalog / Matthew Connolly, Jennifer Colt, Joanne Leary, and Melissa Wallace -- The bento box design pattern / Jason Thomale, William Hicks, and Mark Phillips -- One-to-many : building a single-search interface for disparate resources / Cole Hudson and Graham Hukill -- Integrating discovery to improve the user experience / Sonya Betz and Ian Roberton -- Fixing facets / Sean Hannan, Steven Heslip, and Kristen Johannes -- One size doesn't fit all : tailoring discovery through user testing / Joseph Deodata, Khalilah Gambrell, and Eric Frierson -- From user stories to working code : a case study from NYU's digital collections discovery initiative / Daniel Lovins -- Regional aggregation and discovery of digital collections : the Mountain West Digital Library / Anna Neatrour, Rebekah Cummings, and Sandra McIntyre -- Open Access and discovery tools : how do Primo libraries manage green open access collections? / François Renaville -- Discovery platforms and the database of record / Alan Manifold -- Know thy metadata : metadata challenges in discovery services / Myung-Ja K. …”
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THE ART OF DIGITAL MARKETING THE DEFINITIVE GUIDE TO CREATING STRATEGIC, TARGETED, AND MEASURABLE ONLINE CAMPAIGNS by Dodson, Ian

Table of Contents: “…3 Pay per Click An Introduction Stage 1: Goals Stage 2: Setup Stage 3: Manage Stage 4: Analysis and Iteration So, What Have You Learned in This Chapter? …”
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Ideas for 21st Century Education PROCEEDINGS OF THE ASIAN EDUCATION SYMPOSIUM (AES 2016), 22-23 NOVEMBER 2016, BANDUNG, INDONESIA

Table of Contents: “…The awareness of risk prevention level among urban elementary school students / R Effendi -- The role of academic self- management in improving students' academic achievement / A L Kadiyono, H Hafiar -- Identifying research supporting factors : what should institutions provide? …”
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Arctic offshore engineering by Palmer, Andrew 1938- Andrew Clennel

Table of Contents: “…Contents note continued: 5.8.3.Iceberg Impact Loads -- 6.Ice Forces on Floating Platforms -- 6.1.Introduction -- 6.2.Background to Use of Floaters in Sea Ice -- 6.3.Loads on Floaters in Unmanaged Ice -- 6.4.Loads on Floaters in Managed Ice -- 6.5.Calibration against the Kulluk Data -- 6.6.Influencing Parameters -- 6.7.Typical Managed Ice Loads -- 7.Arctic Marine Pipelines and Export Systems.…”
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Neurologic complications of cancer therapy

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Core concepts in athletic training and therapy

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Harrison's nephrology and acid-base disorders

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Davidson's principles and practice of medicine

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The Essentials of Teaching Health Education Curriculum, Instruction, and Assessment by Benes, Sarah, Alperin, Holly 1977-

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Relationship of self-efficacy with self-care behaviour, medication adherence and glycaemic control among Type 2 Diabetes Mellitus patients in Taman Ehsan and Sungai Buloh primary h... by Zahirah Tharek

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Understanding medical education evidence, theory, and practice

Table of Contents: “…Kennedy and Stella Ng -- Programme evaluation: improving practice, influencing policy and decision-making / Chris Lovato and David Wall -- Selection into medical education and training / Fiona Patterson , Eammon Ferguson and Alec Knight -- Career progression and support / Caroline Elton and Nicole J. Borges -- Managing remediation / Deborah Cohen, Melody Rhydderch and Ian Cooper -- Dealing with diversity / Anthony Americano and Dinesh Bhugra -- Developing medical educators: a journey, not a destination / Yvonne Steinart -- Educational leadership / Judy McKimm and Tim Swanwick…”
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Cancer epigenetics methods and protocols

Table of Contents: “….] -- Epigenome and DNA methylation in oral squamous cell carcinoma / Mario Pérez-Sayáns García and Abel García-García -- Clinical implications of epigenetic alterations in human thoracic malignancies : epigenetic alterations in lung cancer / Keiko Shinjo and Yutaka Kondo -- The role of microRNAs in the management of liver cancer / Krishna K. Banaudha and Mukesh Verma -- Epigenetics in ovarian cancer / L.M.S. …”
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Predicting Heart Failure Invasive, Non-Invasive, Machine Learning No Artificial Intelligence Based Methods

Table of Contents: “…Preface vii Abbreviations ix Acknowledgment xvii 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1Hidayet Takci 2 Conventional Clinical Methods for Predicting Heart Disease 23Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni 3 Types of Biosensors and their Importance in Cardiovascular Applications 47S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan 4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81Mohamed Zied Chaari and Somaya Al-Maadeed 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin 6 Artificial Intelligence Techniques in Cardiology: An Overview 139Ikram-Ul Haq and Bo Xu 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155Ahmad Mousa Altamimi and Mohammad Azzeh 8 Applications of Machine Learning for Predicting Heart Failure 171Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin 9 Machine Learning Techniques for Predicting and Managing Heart Failure 189Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis 10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam Index 321…”
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PREDICTING HEART FAILURE INVASIVE, NON-INVASIVE, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE BASED METHODS

Table of Contents: “…Preface vii Abbreviations ix Acknowledgment xvii 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1Hidayet Takci 2 Conventional Clinical Methods for Predicting Heart Disease 23Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni 3 Types of Biosensors and their Importance in Cardiovascular Applications 47S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan 4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81Mohamed Zied Chaari and Somaya Al-Maadeed 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin 6 Artificial Intelligence Techniques in Cardiology: An Overview 139Ikram-Ul Haq and Bo Xu 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155Ahmad Mousa Altamimi and Mohammad Azzeh 8 Applications of Machine Learning for Predicting Heart Failure 171Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin 9 Machine Learning Techniques for Predicting and Managing Heart Failure 189Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis 10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam Index 321…”
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KUMAR and CLARK'S Clinical Medicine

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Accounting Education Research Prize-winning Contributions

Table of Contents: “…1992: Purposes and paradigms of management accounting : beyond economic reductionism / Martin Kelly and Michael Pratt -- 2993: From fresher to finalist : a three year analysis of student performance on an accounting degree programme / Susan Bartlett, Michael J. …”
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ROUTLEDGE HANDBOOK OF LANDSCAPE CHARACTER ASSESSMENT Current Approaches to Characterisation and Assessment

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Pediatric nutrition handbook an algorithm approach

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Principles and practice of fertility preservation

Table of Contents: “…Results of conservative management of ovarian malignant tumors; Part VI. Fertility Preservation Stategies in the Female: ART: 22. …”
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