Search Results - Tahmina~

The pregnant couple's guide to working out together by Herrera, Isa

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Essentials of neuropsychiatry and behavioral neurosciences

Table of Contents: “…Cummings -- Neuropsychiatric aspects of schizophrenia / Carol A. Tamminga, Mujeeb U. Shad, Subroto Ghose -- Neuropsychiatric aspects of mood disorders / Paul E. …”
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SURAH AL-FATIHAH(IBU AL-QURAN) Tuntutan Memahami, Tadabbur dan Penghayatan by Mohd Zain Mohmood, Nurul Iman Mohd Zain

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Diversity in youth literature opening doors through reading

Table of Contents: “…Voices of experience : promoting acceptance of other cultures / Carol Doll and Kasey Garrison -- Opening doors to understanding : developing cultural competence through youth literature / Eliza Dresang -- African American children's literature : liminal terrains and strategies for selfhood / Ebony Elizabeth Thomas -- Promising portals and safe passages : a review of pre-K-12 Latino/a-themed literature / Ruth Quiroa -- Beyond sari, Hindu monkey god, and Divaali : a critical analysis of South Asian cultures and childhood represented in picture books / Eun Hye Son and Yoo Kyung Sung -- That's so Chamorro : representations of culture in Chamorro realistic fiction / Monique Storie -- Growing mixed/up : multiracial identity in children's and young adult literature / Amina Chaudhri -- The door has never opened for us : the Roma in recent children's fiction for grades 4-6 / Brian W. …”
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Thinking, fast and slow by Kahneman, Daniel

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Cultural studi from theory to acti

Table of Contents: “…Narang -- Women workers and capitalist scripts: ideologies of domination, common interests, and the politics of solidarity / Chandra Talpade Mohanty -- Radicalizing feminism from the 'movement era' on / Joy James -- Mana wahine theory: creating space for Maori women's theories / Leonie Pihama -- Afghan women's long struggle: women working for freedom / Tahmeena Faryal -- Minjung feminism: Korean women's movement for gender and class liberation / Miriam Ching Yoon Louie -- Reconstructing masculinity in the locker room: the Mentors in Violence Prevention Project / Jackson Katz -- The globalization of sexual identities / Dennis Altman -- Black lesbians: passing, stereotypes and transformation / Jewelle Gomez -- Trashing the clinic and burning down the beauty parlor: activism transmutes pitiable patients into feisty gender radicals / Pat Califia -- At a turning point: organized labor, sexual diversity, and the new South Africa / Mazibuko K. …”
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Oxytocin, vasopressin, and related peptides in the regulation of behavior

Table of Contents: “…Neumann and Erwin H. van den Burg -- Regulation of oxytocin and vasopressin secretion : involvement of the calcium amplification pathway through cyclic ADP-ribose and CD38 / Haruhiro Higashida, Olga Lopatina, and Amina Sarawat -- The organizational effects of oxytocin and vasopressin : behavioral implications / Bruce S. …”
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Routledge Handbook of Digital Media and Communication

Table of Contents: “…Bowker -- Mobile media artifacts: genealogies, haptic visualities, and speculative gestures / Lee Humphreys and Larissa Hjorth -- Digital embodiment and financial infrastructures / Kaitlyn Wauthier and Radhika Gajjala -- Ubiquity / Paul Dourish -- Interfaces and affordances / Matt Ratto, Curtis McCord, Dawn Walker, and Gabby Resch -- Hacking / Finn Brunton -- (Big) data and algorithms: looking for meaningful patterns / Taina Bucher -- Archive fever revisited: algorithmic archons and the ordering of social media / David Beer -- part 2. …”
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Keintelektualan Melayu dalam Manuskrip dan Kitab Jawi

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التبصرة

al-Tabṣirah

by لخمي، علي بن محمد

Table of Contents: “…Kitab al-istibraʼ -- Kitab bay' al-khiyar --Kitab al-murabahah -- Kitab al-wakalat -- Kitab al-salah -- Kitab al-musaqat -- Kitab al-jawaih -- Kitab al-sharikah -- Kitab tadmin al-sana' -- Kitab al-jaʻl wa-al-ijarah -- al-juzʼ 11. …”
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Remote sensing of coastal environments

Table of Contents: “…Hapke -- Coastal 3D change pattern analysis using LiDAR series data / Guoqing Zhou -- Mapping the onset and progression of marsh dieback / Elijah Ramsey III and Amina Rangoonwala -- Estimating chlorophyll condition in southern New England coastal waters from hyperspectral aircraft remote sensing / Darryl J. …”
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عمدة المحتاج إلى شرح المنهاج

Umdah al-muhtaj ila syarhi al-minhaj

by ابن الملقن

Table of Contents: “…Bab man talzamuhu al-zakah - kitab al-siyam - kitab al-iʻtikaf, kitab al-hajj ḥatta bab dukhul Makkah -- al-mujallad al-sadis. al-Mabit bi-Muzdalifah hatta akhir bab al-iḥṣar wa-al-fawat, kitab al-biʻ - hatta bab al-usul wa-al-thamar -- al-mujallad al-sabiʻ Kitab al-silm - kitab al-rahn - kitab al-tiflis - al-hajar - al-sulḥ, kitab al-hawalah - kitab al-daman - kitab al-sharikah - kitab al-wakalah -- al-mujallad al-thamin. Kitab al-iqrar - kitab al-ʻariyah - kitab al-ghasb - kitab al-shafʻah, kitab al-qirad - kitab al-musaqah - kitab al-ijarah -- al-mujallad al-tasiʻ. …”
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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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Leaf Development and Canopy Growth by Marshall, B.

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