Posts Tagged ‘to’
Chai Discovery
August 23, 2025Human exposure to PM10 microplastics in indoor air | PLOS One
July 30, 2025https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0328011
Yakovenko, N., Pérez-Serrano, L., Segur, T., Hagelskjaer, O., Margenat, H., Roux, G. L., & Sonke, J. E. (2025). Human exposure to PM10 microplastics in indoor air. PLOS One.
https://doi.org/10.1371/journal.pone.0328011
Humans have nasal respiratory fingerprints: Current Biology
July 13, 2025https://www.cell.com/current-biology/fulltext/S0960-9822(25)00583-4
Soroka, T., Ravia, A., Snitz, K., Honigstein, D., Weissbrod, A., Gorodisky, L., Weiss, T., Perl, O., & Sobel, N. (2025). Humans have nasal respiratory fingerprints. Current Biology.
https://doi.org/10.1016/j.cub.2025.05.008
Scalable emulation of protein equilibrium ensembles with generative deep learning | Science
July 12, 2025https://www.science.org/doi/10.1126/science.adv9817
Lewis, S., Hempel, T., Jiménez-Luna, J., Gastegger, M., Xie, Y., Foong, A. Y. K., Satorras, V. G., Abdin, O., Veeling, B. S., Zaporozhets, I., Chen, Y., Yang, S., Foster, A. E., Schneuing, A., Nigam, J., Barbero, F., Stimper, V., Campbell, A., Yim, J., . . . Noé, F. (2025, July 10). Scalable emulation of protein equilibrium ensembles with generative deep learning. Science.
https://www.science.org/doi/10.1126/science.adv9817
Parkinson’s disease could be detected by listening to someone’s voice | New Scientist
July 6, 2025Mentions:
Ananthanarayanan, A., Senivarapu, S., & Murari, A. (2025). Towards Causal Interpretability in Deep Learning for Parkinson’s Detection from Voice Data. medRxiv (Cold Spring Harbor Laboratory).
https://doi.org/10.1101/2025.04.25.25326311
https://www.medrxiv.org/content/10.1101/2025.04.25.25326311v3
The Remarkable Life of the Skin: An Intimate Journey Across Our Largest Organ: Lyman, Monty: 9780802129406: Amazon.com: Books
June 29, 2025The Remarkable Life of the Skin: An Intimate Journey Across Our Largest Organ: Lyman, Monty: 9780802129406: Amazon.com: Books https://www.amazon.com/Remarkable-Life-Skin-Intimate-Journey/dp/0802129404
From this review of the book:
https://www.newyorker.com/magazine/2020/08/03/rethinking-the-science-of-skin QT:{{”
In a chapter called “Skin Safari,” Lyman gives a tour of the denizens of our skin. They range from the microscopic mites that wander around our faces at night, copulating, to the highly stable communities of microorganisms that live on the different regions of our bodies, each with its own unique environmental conditions. “At first glance, our skin looks like a bare, inhospitable landscape,” Lyman writes. In fact, for critters that are small enough, it’s full of ridges and canyons and deserts and swamps: “Habitats filled with wildlife worthy of a nature documentary. ” These habitats are affected, in turn, by our own environmental conditions. In one study, scientists could tell, just by examining people’s skin microbiome, what city they lived in and with whom they cohabitated.
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Holevo’s theorem
June 29, 2025quantum mechanics – How to understand the Holevo capacity intuitively? – Physics Stack Exchange
https://physics.stackexchange.com/questions/711441/how-to-understand-the-holevo-capacity-intuitively
The Limits of Differential Privacy (and Its Misuse in Data Release and Machine Learning) | July 2021 | Communications of the ACM
June 28, 2025Differential privacy is not a silver bullet for all privacy problems. By Josep Domingo-Ferrer, David Sánchez, and Alberto Blanco-Justicia Posted Jul 1 2021
QT:{{”
The traditional approach to statistical disclosure control (SDC) for privacy protection is utility-first. Since the 1970s, national statistical institutes have been using anonymization methods with heuristic parameter choice and suitable utility preservation properties to protect data before release. Their goal is to publish analytically useful data that cannot be linked to specific respondents or leak confidential information on them.
In the late 1990s, the computer science community took another angle and proposed privacy-first data protection. In this approach a privacy model specifying an ex ante privacy condition is enforced using one or several SDC methods, such as noise addition, generalization, or microaggregation. The parameters of the SDC methods depend on the privacy model parameters, and too strict a choice of the latter may result in poor utility. The first widely accepted privacy model was k-anonymity, whereas differential privacy (DP) is the model that currently attracts the most attention.
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Do you drink coffee? Ask your gut
December 22, 2024https://www.nature.com/articles/d41586-024-03866-5
QT:{{”
One particular gut microbe is quite the coffee fiend. Lawsonibacter asaccharolyticus was up to eight times more abundant in coffee drinkers than in non-drinkers. In a culture dish, the bacteria grew faster when fed coffee of any kind — brewed or instant, caffeinated or decaffeinated — than when fed no coffee.
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Evolution and Revolution as Organizations Grow
September 29, 2024https://hbr.org/1998/05/evolution-and-revolution-as-organizations-grow
A classic article:
Greiner, L. E. (1998). Evolution and revolution as organizations grow. Harvard Business Review, 76(3), 55-64.
https://hbr.org/1998/05/evolution-and-revolution-as-organizations-grow
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