Search (116 results, page 1 of 6)

  • × year_i:[2020 TO 2030}
  1. Bagatini, J.A.; Chaves Guimarães, J.A.: Algorithmic discriminations and their ethical impacts on knowledge organization : a thematic domain-analysis (2023) 0.03
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  2. Serra, L.G.; Schneider, J.A.; Santarém Segundo, J.E.: Person identifiers in MARC 21 records in a semantic environment (2020) 0.03
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  3. Isaac, A.; Raemy, J.A.; Meijers, E.; Valk, S. De; Freire, N.: Metadata aggregation via linked data : results of the Europeana Common Culture project (2020) 0.03
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  4. Sales, R. de; Martínez-Ávila, D.; Chaves Guimarães, J.A.: James Duff Brown : a librarian committed to the public library and the subject classification (2021) 0.03
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  5. San Segundo, R.; Martínez-Ávila, D.; Frías Montoya, J.A.: Ethical issues in control by algorithms : the user is the content (2023) 0.03
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  6. Vogt, T.: ¬Die Transformation des renommierten Informationsservices zbMATH zu einer Open Access-Plattform für die Mathematik steht vor dem Abschluss. (2020) 0.03
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    Content
    "Mit Beginn des Jahres 2021 wird der umfassende internationale Informationsservice zbMATH in eine Open Access-Plattform überführt. Dann steht dieser bislang kostenpflichtige Dienst weltweit allen Interessierten kostenfrei zur Verfügung. Die Änderung des Geschäftsmodells ermöglicht, die meisten Informationen und Daten von zbMATH für Forschungszwecke und zur Verknüpfung mit anderen nicht-kommerziellen Diensten frei zu nutzen, siehe: https://www.mathematik.de/dmv-blog/2772-transformation-von-zbmath-zu-einer-open-access-plattform-f%C3%BCr-die-mathematik-kurz-vor-dem-abschluss."
  7. Escolano, C.; Costa-Jussà, M.R.; Fonollosa, J.A.: From bilingual to multilingual neural-based machine translation by incremental training (2021) 0.02
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  8. Hodges, J.A.: Forensically reconstructing biomedical maintenance labor : PDF metadata under the epistemic conditions of COVID-19 (2021) 0.02
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  9. Walsh, J.A.; Cobb, P.J.; Fremery, W. de; Golub, K.; Keah, H.; Kim, J.; Kiplang'at, J.; Liu, Y.-H.; Mahony, S.; Oh, S.G.; Sula, C.A.; Underwood, T.; Wang, X.: Digital humanities in the iSchool (2022) 0.02
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  10. Lindau, S.T.; Makelarski, J.A.; Abramsohn, E.M.; Beiser, D.G.; Boyd, K.; Huang, E.S.; Paradise, K.; Tung, E.L.: Sharing information about health-related resources : observations from a community resource referral intervention trial in a predominantly African American/Black community (2022) 0.02
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  11. Schleim, S.; Amunts, K.: Deutsche Forscher veröffentlichen ersten 3D-Atlas des menschlichen Gehirns (2020) 0.02
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    Source
    https://www.heise.de/tp/features/Deutsche-Forscher-veroeffentlichen-ersten-3D-Atlas-des-menschlichen-Gehirns-4992198.html?seite=all
  12. Auer, S.; Sens, I.; Stocker, M.: Erschließung wissenschaftlicher Literatur mit dem Open Research Knowledge Graph (2020) 0.01
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    Abstract
    Die Weitergabe von Wissen hat sich seit vielen hundert Jahren nicht grundlegend verändert: Sie erfolgt in der Regel dokumentenbasiert - früher als klassischer Aufsatz auf Papier gedruckt, heute als PDF. Bei jährlich rund 2,5 Millionen neuen Forschungsbeiträgen ertrinken die Forschenden in einer Flut pseudodigitalisierter PDF-Publikationen. Die Folge: Die Forschung wird ernsthaft geschwächt. Denn viele Forschungsergebnisse können durch andere nicht reproduziert werden, es gibt mehr und mehr Redundanzen und das Meer von Publikationen ist unübersichtlich. Deshalb denkt die TIB - Leibniz-Informationszentrum Technik und Naturwissenschaften Wissenskommunikation neu: Statt auf statische PDF-Artikel setzt die TIB auf Wissensgraphen. Sie arbeitet daran, Wissen unterschiedlichster Form - Texte, Bilder, Grafiken, Audio- und Video-Dateien, 3D-Modelle und vieles mehr - intuitiv mithilfe dynamischer Wissensgraphen zu vernetzen. Der Wissensgraph soll verschiedene Forschungsideen, -ansätze, -methoden und -ergebnisse maschinenlesbar darstellen, sodass völlig neue Zusammenhänge von Wissen zutage treten und zur Lösung globaler Probleme beitragen könnten. Die großen gesellschaftlichen Herausforderungen verlangen Interdisziplinarität und das Zusammenfügen von Erkenntnis-Einzelteilen. Mit dem Wissensgraphen kann das gelingen und der Fluss wissenschaftlicher Erkenntnisse revolutioniert werden.
  13. Einarsson, A.M.; Hertzum, M.: How do makers obtain information for their makerspace projects? (2021) 0.01
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    Abstract
    Makerspaces are places for construction and creative expression using tools such as 3D printers, laser cutters, and sewing machines. In this study, we investigate how makers obtain information for their makerspace projects. The study focuses on four sources of information: people, documents, experimentation, and prior knowledge. On the basis of interviews with 13 makers, we analyze their use of these information sources in relation to different knowledge areas, creative-process stages, and relevance criteria. Our main findings are that (a) experimentation is a prime source of information, (b) ease and pleasure are the dominant relevance criteria, (c) process and situation receive little attention, and (d) information sources vary across process stages. Specifically, experimentation is the dominant information source during the construction stage. In addition, the relevance criteria show that the makers turn to people because it is pleasurable, to documents because it is easy, and to experimentation because it results in quality products. These results emphasize the importance of experimentation and suggest that it warrants closer attention in studies of the information behavior of makers and, more broadly, creative professionals.
  14. ¬Der Student aus dem Computer (2023) 0.00
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    Date
    27. 1.2023 16:22:55
  15. Jaeger, L.: Wissenschaftler versus Wissenschaft (2020) 0.00
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    Date
    2. 3.2020 14:08:22
  16. Ibrahim, G.M.; Taylor, M.: Krebszellen manipulieren Neurone : Gliome (2023) 0.00
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  17. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.00
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  18. Koch, C.: Was ist Bewusstsein? (2020) 0.00
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  19. Wagner, E.: Über Impfstoffe zur digitalen Identität? (2020) 0.00
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  20. Engel, B.: Corona-Gesundheitszertifikat als Exitstrategie (2020) 0.00
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