Frontiers

Sliding down the socioeconomic health gradient of COVID-19 in New York City: multinomial regression analyses of disproportionate financial hardship for Black, Latino, and Asian ...

Background: Distinct socioeconomic gradients in COVID-19 outcomes were observed across the United States, so an evaluation of individual resident characteristics related to economic deprivation (race ...
C&EN

Cluster of Differentiation-44-Targeting Prussian Blue Nanoparticles Onloaded with Colchicine for Atherosclerotic Plaque Regression in a Mice Model

Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing 100853, China ...
SciELO

AgroReg: main regression models in agricultural sciences implemented as an R Package

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...
IEEE

Regression Models in QSPR Analysis for Blood Cancer Treatment: A Connection Number Approach

Abstract: Topological indices (TIs) are valuable tools in the study of blood cancer drugs, offering insights into molecular structure and associated properties critical for assessing efficacy and ...
IEEE

FedFit: Server Aggregation Through Linear Regression in Federated Learning

Abstract: We present a conceptually novel framework for Federated Learning (FL) called FedFit for a flexible solver to address FL problems. The FedFit framework consists of two components: model ...
GitHub

Exchange Rate Forecasting using Machine Learning

We propose adding a new project focused on Exchange Rate Forecasting using machine learning techniques, specifically for predicting the USD/INR exchange rate. This project will involve data ...