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Transit-Oriented Development Learning from International Case Studies. by Thomas, Ren

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Transit-Oriented Development Learning from International Case Studies by Thomas, Ren

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Ultrasound in Assisted Reproduction and Early Pregnancy

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Boomers and beyond reconsidering the role of libraries

Table of Contents: “…New patterns of aging : implications for libraries and cultural institutions / Joanne Gard Marshall and Victor Marshall -- Optimizing health : a life-span approach / Margie E. Lachman and Stefan Agrigoroaei -- Library leadership for mature adult learners in a changing world : the importance of attending to developmental diversity / Ellie Drago-Severson and Jessica Blum -- The importance of spirituality in an aging society / Robert C. …”
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The Teaching library approaches to assessing information literacy instruction

Table of Contents: “…Beile -- Course grade as a measure of the effectiveness of one-shot information literacy instruction / Priscilla Coulter, Susan Clarke, Carol Scamman -- Assessment within the Augustana model of undergraduate discipline-specific information literacy credit courses / Nancy Goebel, Paul Neff, Angie Mandeville -- Integrating assessment into recurring information literacy instruction : a case study from LIS education / Susan E. Searing.…”
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Ocular trauma by Banta, James T.

Table of Contents: “…Lee -- |t Orbital trauma / |r Vivian Schiedler, Thomas E. Johnson, Kenneth B. Krantz -- |t Ruptures and lacerations / |r Daniel M. …”
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Role of cancer stem cells in cancer biology and therapy

Table of Contents: “…Batra -- Salinomycin, a candidate drug for the elimination of cancer stem cells / Cord Naujokat and Stefan Laufer -- Targeting breast cancer stem cells / Kelli E. Valdez ... [et al.] -- Targeting leukemic stem cells by breaking their dormancy / Stephan Wurzer and Marieke A.G. …”
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Nuclear Medicine and PET/CT TECHNOLOGY AND TECHNIQUE by Waterstram-Rich, Kristen M.

Table of Contents: “…Hematopoietic System AppendicesA: Percentage Points and Chi Square Distribution B: Laboratory Glassware & InstrumentationC: Radionuclides and Radiopharmaceutical Form Used in Clinical Nuclear Medicine D: GlossaryE: Answers to Chapter 1 Mathematics and Statistics ReviewF: Illustration credits…”
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Principles and practice of clinical bacteriology

Table of Contents: “…. / Esteban C. Nannini and Barbara E. Murray -- Staphylococcus aureus / Sharon Peacock -- Coagulase-negative staphylococci / Roger G. …”
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Gabbe's Obstetrics Normal and Problem Pregnancies

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Cytochrome P450 protocols

Table of Contents: “…Waxman -- Spectrophotometric analysis of human CYP2E1-catalyzed p-nitrophenol hydroxylation / Charles L. …”
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Environmental impacts on reproductive health and fertility

Table of Contents: “…Environmental contaminants and male reproductive health: possible role of fetal exposure Jorma Toppari, Helena E. Virtanen and Niels E. Skakkebaek; 11.3. Environmental contaminants and male reproductive health: adult exposure and effects on fertility John D. …”
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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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The Urban transport future a contribution to the Council of Europe's European Campaign for Urban Renaissance

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PLANT TISSUE CULTURE: THEORY AND PRACTICE by Bhojwani, S. S. Sant Saran

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PENGURUSAN PERAKAUNAN RESTORAN by Nor Khomar Ishak

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PCs for dummies by Gookin, Dan

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Keanehan dan keunggulan BUKU by Shahrom T.M. Sulaiman 1962-

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THE PRACTICE OF Social Research by Babbie, Earl

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