Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Plastics are widely used for their affordability and versatility in various applications. However, the end-of-life (EoL) management stage can often lead to the release of hazardous chemical additives ...

A risk prediction model outlined in The Journal of Clinical Endocrinology & Metabolism details how the best intervention for preventing type 2 diabetes may vary between people with prediabetes ...

Existing models allow us to decode the structures of molecules, but to make new medicines we need to be able to design them. Neo-1, for the first time, allows for this in a single unified model.” ...

This study used the CatBoost machine learning algorithm for the final model, which was interpreted using the SHAP value. 2.6 Development of web tools The Graphics User Interface (GUI) was developed ...

The proposed system integrates a Tkinter-based Graphical User Interface (GUI) to make it easier for users to interact and make predictions. In our discussion, we will cover the design and ...

Methods: Prostruc is a Python-based homology modeling tool designed to simplify protein structure prediction through an intuitive, automated pipeline. Integrating Biopython for sequence alignment, ...

David Baker, Demis Hassabis and John Jumper share the 2024 Nobel Prize in Chemistry for their contributions to the science of protein structure. David Baker was awarded half the prize “for ...

Aug 23, 2024 New open-source Python tool revolutionizes design and modeling of micro optical elements (Nanowerk News) Researchers at International Iberian Nanotechnology Laboratory (INL), in ...

Researchers from Google have built a new weather prediction model that combines machine learning with more conventional techniques, potentially yielding accurate forecasts at a fraction of the ...