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1. Using the Unix Shell - DH Boot Camp for Librarians - LibGuides at Duke University

   https://guides.library.duke.edu/c.php?g=846898&p=6149958

   For this model to work, programs have to use the same kind of data, and that's why they all rely on plain text. 

2. Preservation Architecture: Phase 2 – Moving Forward with Duke Digital Repository - Bitstreams: The D

   https://blogs.library.duke.edu/bitstreams/2016/04/29/preservation-architecture-phase-2-moving-forward-duke-digital-repository/

   These changes provide significant protection against our baseline threat model by providing geographic diversity to our replicas, (...)

3. Funding and Author Support for Open Access - Scholarly Communications @ Duke

   https://blogs.library.duke.edu/scholcomm/2010/09/27/funding-and-author-support-for-open-access/

   Though, several major research institutions and organizations have signed the compact for open-access publishing equity and this is a large step (...)

4. Artificial intelligence (AI) tools - Global Health - LibGuides at Duke University

   https://guides.library.duke.edu/c.php?g=289659&p=10679849

   Students should be aware of potential biases, sensitive data input, and the impact of their generated content.

5. Artificial intelligence (AI) tools - Biological Sciences - LibGuides at Duke University

   https://guides.library.duke.edu/c.php?g=289264&p=10679833

   Students should be aware of potential biases, sensitive data input, and the impact of their generated content.

6. STEM Pandemic Moves: What To Keep - Duke Learning Innovation & Lifetime Education

   https://learninginnovation.duke.edu/blog/2021/07/stem-pandemic-moves-what-to-keep/

   Timothy Atherton teaches Computational Physics at Tufts University , which includes experimental design, simulation, data collection, (...)

7. Artificial intelligence (AI) tools - Evolutionary Anthropology - LibGuides at Duke University

   https://guides.library.duke.edu/c.php?g=289339&p=10679846

   Students should be aware of potential biases, sensitive data input, and the impact of their generated content.

8. Artificial intelligence (AI) tools - Literature Reviews - LibGuides at Duke University

   https://guides.library.duke.edu/litreviews/AI

   Students should be aware of potential biases, sensitive data input, and the impact of their generated content.

9. What is the Richardson Lab Excited about Now? · Seeing the Invisible: 50 Years of Macromolecular Vis

   https://exhibits.library.duke.edu/exhibits/show/invisible/now

   (Below) Ribbon diagram of the atomic model. Seok-Yong Lee ’s group collected this data at the Duke cryoEM facility.

10. Book Review: Essential Titles From Choice

    https://sites.fuqua.duke.edu/fordlibrary/2016/04/04/book-review-essential-titles-choice/

    Two experts on culture and communications, Kai Hammerich and Richard Lewis, present their models (the Cultural Dynamic Model and the (...)