Background: Cardiac amyloidosis (CA) is a life-threatening infiltrative disorder that is frequently underdiagnosed due to its subtle and nonspecific clinical presentation. Accurate and early diagnosis ...

Abstract: Photoinduced electronic transitions are complex quantum-mechanical processes where electrons move between energy levels due to the absorption of light. This induces dynamics i.e., coupled ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...

In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...

It’s that time of year in Washington—the sun is aglow, the happy hour revelers have seized control of the streateries, and the air is sopping wet with pheromones (hold your nose through Arlington, or ...

What it says on the tin. This repo provides functions for producing bivariate polar plots, a useful graphical analysis tool in air pollution research. This implementation is largely based on the R ...

Introduction: Smokeless tobacco (SLT) is significant public health problem in the U.S. and is associated with chronic diseases, which includes both physical and mental health conditions. Inequities in ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...