When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.
This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...
Introduction Stress is a major health issue in contemporary society, and mindfulness-based approaches reduce stress and anxiety but face practical barriers to consistent practice; this protocol ...
AI is transforming learning – not by replacing people, but by empowering learning professionals to blend data, creativity and ...
In letters to consultants and the College Board, House and Senate Judiciary leaders invoked antitrust law and asked how student data feeds pricing algorithms. By Ron Lieber Ron Lieber welcomes ...
In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...
Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...
This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.
The Special Series notes were produced by IMF experts between April 2020 and March 2022 to help members address the economic effects of COVID-19. The series was discontinued as of December 2021. The ...
Consistent practice, using online help, and working on projects are key to doing well in the google python course. The course ...
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