harlem meer + olena
https://www.nytimes.com/2024/11/02/arts/design/parks-longwood-harlem-meer-olana-seattle.html
Tumour evolution and microenvironment interactions in 2D and 3D space | Nature
November 10, 2024https://www.nature.com/articles/s41586-024-08087-4
Mo, C., Liu, J., Chen, S., Storrs, E., Da Costa, A. L. N. T., Houston, A., Wendl, M. C., Jayasinghe, R. G., Iglesia, M. D., Ma, C., Herndon, J. M., Southard-Smith, A. N., Liu, X., Mudd, J., Karpova, A., Shinkle, A., Goedegebuure, S. P., Abdelzaher, A. T. M. A., Bo, P., . . . Ding, L. (2024). Tumour evolution and microenvironment interactions in 2D and 3D space. Nature, 634(8036), 1178–1186.
https://doi.org/10.1038/s41586-024-08087-4
How a new kind of vaccine could lead to the eradication of Alzheimer’s and dementia | New Scientist
November 10, 2024Are undergraduate chemistry programs in crisis?
November 10, 2024https://cen.acs.org/education/undergraduate-education/undergraduate-chemistry-programs-crisis/102/i33 Declines rel. to bio.
How A.I. Teaches Machines to Discover Drugs | The New Yorker
November 10, 2024https://www.newyorker.com/magazine/2024/09/09/how-machines-learned-to-discover-drugs
drug of choice – new yorker
Nice writeup on GAI for antibiotic discovery + eroom’s law + coscientist
The Crypto Betting Platform Predicting a Trump Win | The New Yorker
November 9, 2024polymarket
https://www.newyorker.com/culture/infinite-scroll/the-crypto-betting-platform-predicting-a-trump-win
Is It AI? Peer Reviewers Struggle to Distinguish LLMs From Human Writing < Yale School of Medicine
November 9, 2024Home – Academic Analytics
November 9, 2024https://academicanalytics.com/
Has stats on PhD programs nationwide, supposedly free.
Books & articles on Mixed Models
November 9, 20241. Mixed Models: Theory and Applications with R. You can find their book’s website at https://www.eugened.org/mixed-models, and the PDF version of the book can be found
https://www.isical.ac.in/~arnabc/linmod/demidenko.pdf. This book is written by Prof. Eugene Demidenko, who works at Dartmouth College in the Department of Biomedical Science. I think this book emphasizes the application a lot.
2. Generalized, Linear, and Mixed Models. You can find this book from the https://onlinelibrary.wiley.com/doi/book/10.1002/0471722073; This book is written by Prof. Shayle R. Searle (a leader in the field of linear and mixed models in statistics who worked at Cornell) and Prof. Charles E. McCulloch (a professor of Biostatistics at UCSF). This book emphasizes the theoretical part of the model.
3. I also found a
https://biol609.github.io/Readings/McNeish_Kelley_PsychMethods_2019.pdf that summarizes and compares Fixed and Mixed-effect models.
McNeish, D., & Kelley, K. (2018). Fixed effects models versus mixed effects models for clustered data: Reviewing the approaches, disentangling the differences, and making recommendations.
Psychological Methods, 24(1), 20–35.
https://doi.org/10.1037/met0000182
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