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  1. Book ; Online: Variance in Approach Toward a 'Sustainable' Coffee Industry in Costa Rica

    Vogt, Melissa

    2019  

    Abstract: The monograph considers influence over time of Fairtrade and Rainforest Alliance in 10 Costa Rican coffee farming communities. In-country perspectives and relevant historic and contemporary literature inform findings.Misaligned intentions to outcomes; ... ...

    Abstract The monograph considers influence over time of Fairtrade and Rainforest Alliance in 10 Costa Rican coffee farming communities. In-country perspectives and relevant historic and contemporary literature inform findings.Misaligned intentions to outcomes; different sustainability approaches; and variable influence is observed. There is opportunity to: consider when certifications are most useful; develop locally relevant standards; vertically integrate sourcing chains; consider how complementary mechanisms can be used alongside, or to improve certification approach.Sustainability of coffee as a cash crop, considering influence on biodiversity, and the possible implication of reduced coffee crop density for consumers, the market and farming landscapes, is considered
    Keywords Science (General) ; Biology (General) ; Ethics ; Social sciences (General) ; History (General) ; Colonies and colonization. Emigration and immigration. International migration
    Size 1 electronic resource (244 pages)
    Publisher Ubiquity Press
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT020395702
    ISBN 9781911529774 ; 9781911529767 ; 9781911529781 ; 9781911529798 ; 1911529773 ; 1911529765 ; 1911529781 ; 191152979X
    DOI 10.5334/bce
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; E-Book: Sustainability certification schemes in the agricultural and natural resource sectors

    Vogt, Melissa

    outcomes for society and the environment

    (Earthscan studies in natural resource management)

    2019  

    Author's details edited by Melissa Vogt
    Series title Earthscan studies in natural resource management
    Language English
    Size 1 Online-Ressource (xviii, 323 Seiten), Illustrationen
    Publisher Routledge
    Publishing place London
    Publishing country Great Britain
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020068726
    ISBN 978-1-351-33145-6 ; 9781138572973 ; 1-351-33145-0 ; 1138572977
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Thesis: Evaluation klinischer Einflussfaktoren und des Stenosegrades für das Langzeitergebnis nach Karotisendarteriektomie eines Registers konsekutiver Patienten

    Vogt, Matthias

    2017  

    Author's details vorgelegt von Matthias Vogt
    Language German
    Size 136 Seiten, Diagramme, 30 cm
    Publishing place Freiburg im Breisgau
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Albert-Ludwigs-Universität Freiburg im Breisgau, 2017
    HBZ-ID HT019626298
    Database Catalogue ZB MED Medicine, Health

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  4. Book: Lösungsfokussierte Therapie mit Kindern und Jugendlichen

    Vogt, Manfred

    mit E-Book inside

    2016  

    Author's details Manfred Vogt
    Keywords Kind ; Jugend ; Lösungsorientierte Kurztherapie
    Subject Lösungsorientierte Psychotherapie ; Lösungsorientierte Therapie ; Lösungsfokussierte Kurztherapie ; Jugend ; Jugendalter ; Jugendlicher ; Teenager ; Kindheit ; Kindesalter ; Kindschaft ; Kinder
    Language German
    Size 256 Seiten, Illustrationen
    Edition 1. Auflage
    Publisher Beltz
    Publishing place Weinheim
    Publishing country Germany
    Document type Book
    Note Zugang zur Internetausgabe über Code
    HBZ-ID HT018967449
    ISBN 978-3-621-28298-7 ; 3-621-28298-X
    Database Catalogue ZB MED Medicine, Health

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  5. Article ; Online: Chemoinformatic approaches for navigating large chemical spaces.

    Vogt, Martin

    Expert opinion on drug discovery

    2024  Volume 19, Issue 4, Page(s) 403–414

    Abstract: Introduction: Large chemical spaces (CSs) include traditional large compound collections, combinatorial libraries covering billions to trillions of molecules, DNA-encoded chemical libraries comprising complete combinatorial CSs in a single mixture, and ... ...

    Abstract Introduction: Large chemical spaces (CSs) include traditional large compound collections, combinatorial libraries covering billions to trillions of molecules, DNA-encoded chemical libraries comprising complete combinatorial CSs in a single mixture, and virtual CSs explored by generative models. The diverse nature of these types of CSs require different chemoinformatic approaches for navigation.
    Areas covered: An overview of different types of large CSs is provided. Molecular representations and similarity metrics suitable for large CS exploration are discussed. A summary of navigation of CSs in generative models is provided. Methods for characterizing and comparing CSs are discussed.
    Expert opinion: The size of large CSs might restrict navigation to specialized algorithms and limit it to considering neighborhoods of structurally similar molecules. Efficient navigation of large CSs not only requires methods that scale with size but also requires smart approaches that focus on better but not necessarily larger molecule selections. Deep generative models aim to provide such approaches by implicitly learning features relevant for targeted biological properties. It is unclear whether these models can fulfill this ideal as validation is difficult as long as the covered CSs remain mainly virtual without experimental verification.
    MeSH term(s) Humans ; Cheminformatics ; Algorithms
    Language English
    Publishing date 2024-02-05
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2259618-5
    ISSN 1746-045X ; 1746-0441
    ISSN (online) 1746-045X
    ISSN 1746-0441
    DOI 10.1080/17460441.2024.2313475
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book: Psychische Anpassungsreaktionen von Kindern und Jugendlichen bei chronischen körperlichen Erkrankungen

    Vogt, Manfred / Herrmann, Jessy / Küpper, Luise / Schepper, Florian

    (Störungen systemisch behandeln ; Band 16)

    2020  

    Author's details Manfred Vogt, Jessy Herrmann, Luise Küpper, Florian Schepper
    Series title Störungen systemisch behandeln ; Band 16
    Collection
    Keywords Angst ; Chronische Krankheit ; Depression ; Diagnostik ; Familienmedizin ; Familientherapie ; Posttraumatische Belastungsstörung ; ambulant ; interdisziplinär ; klinisch ; lösungsorientiert ; multiprofessionell ; schulenübergreifend ; systemisch ; Kind ; Jugend ; Psychische Belastung ; Psychische Verarbeitung
    Subject Verarbeitung ; Seelische Verarbeitung ; Seelische Belastung ; Psychische Beanspruchung ; Mentale Belastung ; Mentale Beanspruchung ; Psychologische Belastung ; Krankheit ; Chronisches Leiden ; Chronische Krankheiten ; Jugend ; Jugendalter ; Jugendlicher ; Teenager ; Kindheit ; Kindesalter ; Kindschaft ; Kinder
    Subject code 150
    Language German
    Size 279 Seiten, Illustrationen
    Edition Erste Auflage
    Publisher Carl-Auer Verlag GmbH
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book
    HBZ-ID HT020433581
    ISBN 978-3-8497-0338-7 ; 3-8497-0338-X ; 9783849782153 ; 3849782158
    Database Catalogue ZB MED Medicine, Health

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  7. Book ; Thesis: Zellmigration im frühen Maus-Embryo

    Vogt, Moritz

    Analysen zur Funktion von Eomesodermin während der Mesodermentstehung

    2014  

    Author's details vorgelegt von Moritz Vogt
    Language German
    Size IV, 118 Bl. : Ill.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Freiburg (Breisgau), Univ., Diss., 2014
    HBZ-ID HT018582829
    Database Catalogue ZB MED Medicine, Health

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  8. Article ; Online: Advancing Cheminformatics-A Theme Issue in Honor of Professor Jürgen Bajorath.

    Vogt, Martin

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 8

    Abstract: While cheminformatics problems have been actively researched since the early 1960s, as witnessed by the QSAR approaches developed by Toshio Fujita and Corwin Hansch [ ... ]. ...

    Abstract While cheminformatics problems have been actively researched since the early 1960s, as witnessed by the QSAR approaches developed by Toshio Fujita and Corwin Hansch [...].
    MeSH term(s) Cheminformatics ; Quantitative Structure-Activity Relationship
    Language English
    Publishing date 2022-04-14
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27082542
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Using deep neural networks to explore chemical space.

    Vogt, Martin

    Expert opinion on drug discovery

    2021  Volume 17, Issue 3, Page(s) 297–304

    Abstract: Introduction: The popularity and success of advanced AI methods like deep neural networks has led to novel ways for exploring chemical space. Their opaque nature poses challenges for model evaluation regarding novelty, uniqueness, and distribution of ... ...

    Abstract Introduction: The popularity and success of advanced AI methods like deep neural networks has led to novel ways for exploring chemical space. Their opaque nature poses challenges for model evaluation regarding novelty, uniqueness, and distribution of the chemical space covered. However, these methods also promise to be able to explore uncharted chemical space in novel ways that do not rely directly on structural similarity.
    Areas covered: This review provides an overview of popular deep learning methods for chemical space exploration. Crucial aspects like choice of molecular representation, training for focused chemical space exploration, and criteria for assessing and validating chemical space coverage are discussed.
    Expert opinion: Deep learning offers great potential for chemical space exploration beyond conventional fragment-based methods. Given the rarity of prospective applications and considering the difficulty in assessing representativeness and comprehensiveness of chemical space covered, developing criteria for assessing and validating generative models is of great significance. Latent space models like variational autoencoders are conceptually appealing for inverse QSAR/QSPR approaches as neighborhood relationships in latent space can be trained to reflect property similarities. Future research in understanding and interpreting generative models might lead to a better understanding of biologically relevant properties of molecules.
    MeSH term(s) Humans ; Neural Networks, Computer
    Language English
    Publishing date 2021-12-29
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2259618-5
    ISSN 1746-045X ; 1746-0441
    ISSN (online) 1746-045X
    ISSN 1746-0441
    DOI 10.1080/17460441.2022.2019704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book: Umstellung der landwirtschaftlichen Bewirtschaftung zur Verminderung des erosiven Nährstoffeintrages in den Antrift-Stausee

    Vogt, Melanie

    Pilotprojekt

    (Fachinformationen des LLH ; 2007,02)

    2007  

    Title variant Pilotprojekt Antriftstausee
    Author's details Projektbearb.: Melanie Vogt. Projektleitung: Gotthard Schaumberg. [Hrsg. Landesbetrieb Landwirtschaft Hessen]
    Series title Fachinformationen des LLH ; 2007,02
    Collection
    Subject code 631.7
    Language German
    Size 129 S., Ill., graph. Darst., Kt., 30 cm
    Publisher LLH
    Publishing place Kassel
    Publishing country Germany
    Document type Book
    Note Literaturverz. S. 123 - 126 ; CD-ROM-Beil. u.d.T.: Pilotprojekt Antriftstausee
    Accompanying material 1 CD-ROM ; 12 cm
    HBZ-ID HT015305431
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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