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  1. 56841

    Biofuels from Lignocellulosic Biomass Innovations beyond Bioethanol

    Published 2016
    Table of Contents: “…Title Page; Copyright; Table of Contents; List of Contributors; Preface; Acknowledgments; Chapter 1: Fuels and Combustion; 1.1 Introduction; 1.2 The Options; 1.3 Spark Ignition; 1.4 Compression Ignition; 1.5 Highly Diluted Autoignition, HCCI; 1.6 Other Combustion Concepts; 1.7 Summary of Combustion Processes; References; Chapter 2: Fuel Class Higher Alcohols; 2.1 Introduction and Fuel Properties; 2.2 Performance in Spark-Ignition Engines; 2.3 Performance in Compression-Ignition Engines; 2.4 Production Pathways; 2.5 Outlook; 2.6 Conclusions; References; Chapter 3: Fuel Class Valerates. 3.1 Introduction and Fuel Properties3.2 Performance in Spark-Ignition Engines; 3.3 Performance in Compression-Ignition Engines; 3.4 Production Pathways; 3.5 Outlook; 3.6 Conclusions; Acknowledgments; References; Chapter 4: Butyl Ethers and Levulinates; 4.1 Introduction and Fuel Properties; 4.2 Performance in Compression-Ignition Engines; 4.3 Production Pathways; 4.4 Outlook; 4.5 Conclusions; References; Chapter 5: A Comprehensive Review of 2,5-Dimethylfuran as a Biofuel Candidate; 5.1 Introduction to DMF; 5.2 Production Pathways; 5.3 Performance in Spark-Ignition Engines. 5.4 Performance in Compression-Ignition Engines5.5 Outlook; 5.6 Conclusions; References; Chapter 6: Furanoids; 6.1 Introduction and Fuel Properties; 6.2 Performance in Spark-Ignition Engines; 6.3 Performance in Compression-Ignition Engines; 6.4 Production Pathways; 6.5 Outlook; 6.6 Conclusions; References; Chapter 7: Benzenoids; 7.1 Introduction; 7.2 Overview of Neat Fuel properties; 7.3 Performance in Compression-Ignition Engines; 7.4 Performance in Spark-Ignition Engines; 7.5 Production Pathways; 7.6 Outlook and Conclusions; References; Chapter 8: Biomass Pyrolysis Oils. 8.1 Introduction and Fuel Properties8.2 Performance Spark-Ignition Engines; 8.3 Performance in Compression-Ignition Engines; 8.4 Production Pathways from Pyrolysis Oil; 8.5 Outlook; 8.6 Conclusions; References; Index; End User License Agreement.…”
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  2. 56842

    Communication Skills for the Health Care Professional Context, Concepts, Practice, and Evidence by Van Servellen, Gwen 1942-

    Published 2020
    Table of Contents: “…Machine generated contents note: -- PartI The Context for Health Care Communications in an Evolving Health Care System Chapter1 Evolution of Health Care Delivery and Implications for Health Providers Chapter2 Technological Advances Have Changed the Way Health Professionals and Patients Communicate Chapter3 Problems in Access to and Availability of Health Care Intimately Linked to Patient-Provider Communications PartII Foundations for Understanding Communications in Health Care Chapter4 Principles of Human Communication Chapter5 The Nature of Therapeutic Communications Chapter6 Cultural Similarities and Differences and Communication PartIII Critical Competencies in Therapeutic Communications Chapter7 The Pervasive Role of Empathy, Confirmation, and Compassion Chapter8 Communications That Contribute to Trust and Mistrust of Providers Chapter9 The Art and Skillful Use of Questions Chapter10 Therapeutic Use of Silence and Pauses Chapter11 The Impact of Self-Disclosures Chapter12 The Proper Placement of Advisement Chapter13 Reflections and Interpretations Chapter14 The Judicious Use of Confrontations, Orders, and Commands PartIV Communications to Ensure Comprehensive and Continuous Patient-Centered Care under Challenging Circumstances Chapter15 Communicating with Patients with Low Health Literacy Chapter16 Communicating with Patients Who Have Chronic and/or Life Threatening Illness Chapter17 Communicating with Patients and Families in Crisis Chapter18 Communicating Effectively with Patients Displaying Significant Negative or Resistive Coping Responses PartV Beyond Patient-Provider Encounters: Managing Communications Within and Across Relevant Constituencies Chapter19 Communications Within and Across Health Care Provider Groups Chapter20 Beyond Patient-Provider Encounters: Managing Communications Within and Across Relevant Constituencies Chapter21 Family Dynamics and Communications with Patients' Significant Others PartVI Ethics and Communications in Health Care Chapter22 Patient's Rights to Informed Choice and Consent in Health Care Decision Making Chapter23 The Privileged Nature of Patient- Provider Communications: Issues of Confidentiality, Anonymity, and Privacy PartVII Transforming Health Care through Changing Patient Behaviors and Systems of Care Chapter24 Transforming Health Care through Changing Patient Behaviors and Systems of Care Chapter25 Altering Systems of Care to Enhance Health Care Communications PartVIII Evidence Supports the Importance of Effective Communications Chapter26 Bringing Health Provider Communication to the Patient, Not Patient to Provider Chapter27 Communications to Promote Behavior Change Chapter28 Collaborative Care to Promote Treatment Adherence and Effective Mental Health Care Chapter29 Communications for Advance Care Planning.…”
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  3. 56843

    Emergency Medicine The Principals of Practice

    Published 2020
    Table of Contents: “…1 Cardiopulmonary resuscitation - 2 The airway, ventilation and procedural sedation - 3 Resuscitation procedures - 4 Trauma - 5 Shock - 6 Major hemorrhage - 7 Burns - 8 Pateint transport, retrieval and pre-hospital care - 9 The seriously ill patient: tips and tricks - 10 The approach to the patient with chest pain and dysponea - 11 Acute coronary syndromes - 12 Clinical electrocardiography and arrhythmia management - 13 Respiratory emergencies: the acutely breathless patient - 14 Haemopthysis - 15 Acute pulmonary oedema - 16 Venous thromboembolic disease: deep venous thrombosis and pumnonary embolism - 17 Neurological emergencies - 18 Poisoning and overdose - 19 Drug and alcohol - 20 Endocrine emergencies - 21 Acid-base and electrolyte disorders - 22 Geriatric care - 23 Infectious diseases - 24 The immunosuppressed patient - 25 Emergency department haemotology - 26 Gastrointestinal emergencies - 27 Neurosurgical emergencies - 28 Aortic and vascular emergencies - 29 Orthopedic emergencies - 30 Urological emergencies - 31 Wounds - 32 Pain management in the emergency department - 33 Paediatric emergencies - 34 Gynaecological emergencies - 35 Sexual assault and domestic violence - 36 Suprise! …”
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  4. 56844

    Predicting Heart Failure Invasive, Non-Invasive, Machine Learning No Artificial Intelligence Based Methods

    Published 2022
    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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  5. 56845

    PREDICTING HEART FAILURE INVASIVE, NON-INVASIVE, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE BASED METHODS

    Published 2022
    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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  6. 56846

    Science

    Published 1880
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  7. 56847
  8. 56848
  9. 56849
  10. 56850
  11. 56851
  12. 56852
  13. 56853
  14. 56854
  15. 56855
  16. 56856
  17. 56857
  18. 56858
  19. 56859
  20. 56860