Search Results - "curate"

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    Male Sex Work in the Digital Age Curated Lives / by Ryan, Paul

    Published 2019
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  3. 3

    Da Vinci Şifresi / by Brown, Dan

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  4. 4

    Neighbourhoods for the city in Pacific Asia / by Ho, Kong-Chong, 1955-

    Published 2020
    Table of Contents: “…Mahakan: Neighbourhood Heritage Curation Attempts --…”
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  5. 5

    The Social Life of Sound by Maalsen, Sophia

    Published 2019
    Table of Contents: “…Biography, Music, and Personhood in Yaraandoo -- Chapter 4 Sampling Genealogies of Sound -- Chapter 5 Sven Libaek and "Misty Canyon" -- Chapter 6 Reissues: Collecting, Curating, Connoisseurship and Cultural Mass -- Chapter 7 Distributed Personhood and the Multiple Biography -- Chapter 8 Conclusion: Somebodies as Multibiographical Sound.…”
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  6. 6

    Copenhagenize The Definitive Guide to Global Bicycle Urbanism / by Colville-Andersen, Mikael

    Published 2018
    Table of Contents: “…Cargo Bike Logistics -- 19. Curating Transferable Ideas20. Communication & Advocacy -- Conclusion.…”
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  7. 7

    Protective Coatings Film Formation and Properties /

    Published 2017
    Table of Contents: “…Role of Distributions in Binders and Curatives and their Effect on Network Evolution and Structure -- Heterogeneity in Crosslinked Polymer Networks: Molecular Dynamics Simulations -- Rigidity Percolation Modeling of Modulus Development During Free-Radical Cross-linking Polymerization -- Rheology Measurement for Automotive Coatings -- Magnetic Microrheology for Characterization of Viscosity in Coatings -- CryoSEM: Revealing Microstructure Development in Drying Coatings -- Film Formation through Designed Diffusion Technology -- In-Situ FTIR Study of Cure Kinetics of Coatings with Controlled Humidity -- Shrinkage in UV Curable Coatings -- Measurements of Stress Development in Latex Coatings -- Stress Development in Reactive Coatings -- Swelling of Coating Films -- Chemical Depth Profiling of a Multilayered Coating System Using Slab Microtomy and FTIR-ATR Analysis -- Characterization of Component Distributions in Acrylic Latex and Paint Films Containing an Alkali-Soluble Resin (ASR).…”
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  8. 8

    HCV: The Journey from Discovery to a Cure Volume II /

    Published 2019
    Table of Contents: “…NS5A as a target for HCV Drug Discovery -- The Discovery and Development of Daclatasvir: An Inhibitor of the Hepatitis C Virus NS5A Replication Complex -- The Discovery of Ledipasvir (GS-5885): The Potent Once-Daily Oral HCV NS5A Inhibitor in the Single-Tablet Regimen Harvoni® -- The Discovery of Velpatasvir (GS-5816): The Potent Pan-Genotypic Once-Daily Oral HCV NS5A Inhibitor in the Single-Tablet Regimens Epclusa® and Vosevi® -- Discovery of Elbasvir -- HCV NS5A as an Antiviral Therapeutic Target: From Validation to the Discovery and Development of Ombitasvir and Pibrentasvir as Components of IFN-Sparing HCV Curative Treatments -- Evolution of HCV NS4B Inhibitors -- The Evolution of Clinical Trials for Hepatitis C -- The Clinical Development of Ledipasvir/Sofosbuvir (LDV/SOF, Harvoni®) -- The Clinical Development of Sofosbuvir/Velpatasvir (SOF/VEL, Epclusa®) -- The Clinical Development of Sofosbuvir/Velpatasvir/Voxilaprevir (SOF/VEL/VOX, Vosevi®) -- Clinical Development of Viekira Pak to Mavyret -- Development of ZEPATIER® -- Real world effectiveness of DAA therapies -- The Benefit of Direct-Acting Antiviral HCV Cure Therapies -- Cure and Control: What Will It Take to Eliminate HCV? …”
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  9. 9

    Refugee Migration and Health Challenges for Germany and Europe /

    Published 2019
    Table of Contents: “…Future Challenges for the Public and Curative Health Sector. Part 3: European Perspective on Refugee Health -- 11. …”
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  10. 10

    Creative Hubs in Question Place, Space and Work in the Creative Economy /

    Published 2019
    Table of Contents: “…Virani and Rosalind Gill -- PART 1: LOOKING INSIDE THE CLUSTER -- Chapter 2: Herding Cats: Co-Work, Creativity and Precarity in Inner Sydney; George Morgan and James Woodriff -- Chapter 3: Curating Strangers; Janet Merkel -- Chapter 4: Creative Hubs, Cultural Work and Affective Economies: Exploring 'Unspeakable' Experiences for Young Cultural Workers; David Lee -- Chapter 5: Hubs vs Networks in the Creative Economy: Towards a 'Collaborative Individualism'; Carolina Bandinelli and Alessandro Gandini -- Chapter 6: Community-Led Co-Working Spaces: From Colocation to Collaboration and Collectivization; Vasilis Avdikos and Eirini Iliopoulou -- Chapter 7: Hip Hub? …”
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  11. 11

    Deep Learning with Python, Second Edition. by Chollet, Francois

    Published 2021
    Table of Contents: “…4.1.5 Using a trained model to generate predictions on new data -- 4.1.6 Further experiments -- 4.1.7 Wrapping up -- 4.2 Classifying newswires: A multiclass classification example -- 4.2.1 The Reuters dataset -- 4.2.2 Preparing the data -- 4.2.3 Building your model -- 4.2.4 Validating your approach -- 4.2.5 Generating predictions on new data -- 4.2.6 A different way to handle the labels and the loss -- 4.2.7 The importance of having sufficiently large intermediate layers -- 4.2.8 Further experiments -- 4.2.9 Wrapping up -- 4.3 Predicting house prices: A regression example -- 4.3.1 The Boston housing price dataset -- 4.3.2 Preparing the data -- 4.3.3 Building your model -- 4.3.4 Validating your approach using K-fold validation -- 4.3.5 Generating predictions on new data -- 4.3.6 Wrapping up -- Summary -- 5 Fundamentals of machine learning -- 5.1 Generalization: The goal of machine learning -- 5.1.1 Underfitting and overfitting -- 5.1.2 The nature of generalization in deep learning -- 5.2 Evaluating machine learning models -- 5.2.1 Training, validation, and test sets -- 5.2.2 Beating a common-sense baseline -- 5.2.3 Things to keep in mind about model evaluation -- 5.3 Improving model fit -- 5.3.1 Tuning key gradient descent parameters -- 5.3.2 Leveraging better architecture priors -- 5.3.3 Increasing model capacity -- 5.4 Improving generalization -- 5.4.1 Dataset curation -- 5.4.2 Feature engineering -- 5.4.3 Using early stopping -- 5.4.4 Regularizing your model -- Summary -- 6 The universal workflow of machine learning -- 6.1 Define the task -- 6.1.1 Frame the problem -- 6.1.2 Collect a dataset -- 6.1.3 Understand your data -- 6.1.4 Choose a measure of success -- 6.2 Develop a model -- 6.2.1 Prepare the data -- 6.2.2 Choose an evaluation protocol -- 6.2.3 Beat a baseline -- 6.2.4 Scale up: Develop a model that overfits.…”
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    Crowd-sourced syllabus : a curriculum for resistance / by McRae, Leanne

    Published 2020
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    The Palgrave Handbook of Bottom-Up Urbanism

    Published 2019
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    From Bench to Boardroom The R&D Leader's Guide / by Spiro, Clifford L.

    Published 2018
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    Conservation of Modern Oil Paintings

    Published 2019
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