Search Results - Ken Lo*

The magic question a simple question every leader dreams of answering by Cottrell, David 1953-

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Enhancing and Expanding Undergraduate Research A Systems Approach

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THE ROUTLEDGE COMPANION TO PHILOSOPHY OF SOCIAL SCIENCE

Table of Contents: “…Historical and philosophical contextComte and the Positivist Vision Vincent Guillin Durkheim and the Methods of Scientific Sociology Warren SchmausVerstehen and the Reaction Against Positivism Brian FayThe Development of Logical Empiricism Thomas UebelKuhn's Influence on the Social Sciences K. …”
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TED Talks The official TED guide to public speaking: Tips and tricks for giving unforgettable speeches and presentations by Anderson, Chris

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Psychotherapy supervision an intergrative relational approach to psychotherapy supervision by Gilbert, Maria, Evans, Kenneth 1947- Kenneth Roy

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Clinical Handbook of Psychological Disorders in Children and Adolescents A Step-by-Step Treatment Manual

Table of Contents: “…Schneider -- Disruptive behavior disorders / John E. Lochman, Caroline Boxmeyer, Nicole Powell, Casey Dillon, Cameron Powe & Francesca Kassing -- Attention-deficit hyperactivity disorder / Amy Altszuler, Fiona Macphee, Brittany Merrill, Anne Morrow, Nicole K. …”
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The adolescent brain learning, reasoning, and decision making

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Inclusive Physical Activities International Perspectives

Table of Contents: “…Participation in community leisure programs : a vehicle for enhancing physical activity in children with developmental difficulties / Yolanda Fernandez Jenny Ziviani, and Monica Cuskelly -- A longitudinal case study approach to describing a boy with development coordination disorder experiencing transitive intervention services toward inclusive schooland community-based physical activities / Anna Cadzow, Motohide Miyahara, and Ruth Cutfield -- Free to play : the role of physical activity in the lives of children with chronic illnesses / Fiona Moola and Elizabeth Huynh -- Strategies to increase social inclusion of students with disabilities in physical education settings / Bethany L. …”
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The ecology of Papua

Table of Contents: “…Shea and Pratito Puradyatmika -- Lowland swamp and peat vegetation of Papua / Robert J. …”
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The ecology of Papua

Table of Contents: “…Shea and Pratito Puradyatmika -- Lowland swamp and peat vegetation of Papua / Robert J. …”
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Accounting Education Research Prize-winning Contributions

Table of Contents: “…Leitsch -- 2006: Accounting textbooks : exploring the production of a cultural and political artifact / John Ferguson, David Collison, David Power and Lorna Stevenson -- 2007: Concept mapping in a financial accounting theory course / Jon Simon -- 2008: Introducing a learning portfolio in an undergraduate financial accounting course / Grant Samkin and Graham Francis -- 2009: Moral intensity and ethical decision-making : an empirical examination of undergraduate accounting and business students / Breda Sweeney and Fiona Costello -- 2010: The role of cultural factors in the learning style preferences of accounting students : a comparative study between Japan and Australia / Satoshi Sugahara and Gregory Boland -- 2011: Understanding student plagiarism : an empirical study in accounting education / Xin Guo -- 2012: Expanding the horizons of accounting education : incorporating social and critical perspectives / Gordon Boyce [and others].…”
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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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