Using CHARLS data from 2011 to 2020, researchers found that sleep duration and self-reported sleep quality were associated ...

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

BACKGROUND: Sudden cardiac arrest disproportionately affects youths from lower socioeconomic neighborhoods, yet the ...

The 2025-2026 COVID-19 vaccines were associated with 50% estimated effectiveness against COVID-19-associated emergency ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

Abstract: Logistic regression is a supervised binary classification algorithm in machine learning. It is an important part of neural network and convolutional neural network. An important part of the ...

## 1. Problem to demonstrate the fitting of a binary response variable using logistic regression. We observe that, typically no predictors are stongly significant at 5% level. Usually Lag 2 test has ...

**a. Consider the Weekly data available in the ISLR package of R. Use the data from 1990 to 2008 as train data and the data on 2009-2010 as test data.** train.data=df ...

ABSTRACT: The United States government’s recent decision to establish a sovereign wealth fund has boosted interest in these vehicles in the U.S. and beyond, even though several U.S. states have ...

One of the fun revelations of the season was Ji’Ayir Brown rising back into a starting spot for the San Francisco 49ers. However, the fun story is starting to sour at a bad time for the team and it is ...

Sven, a sales leader, received a call from a major customer who was furious. Their order arrived late, the product was damaged, and to top it off, their invoice didn’t reflect the volume discount ...