Objective Health literacy (HL) is the degree of individuals’ capacity to access, understand, appraise and apply health information and services required to make appropriate health decisions.This study aimed to establish a predictive algorithm for identifying community-dwelling older adults with a high risk of limited HL.Design A cross-sectional s

Abstract Background Cancer is the second leading cause of death in the United States, exceeded only by heart disease.Extant cancer survival analyses have primarily focused on individual-level factors due to limited data availability from a single data source.There is a need to integrate data from different sources to simultaneously Dryer Door Catch

Nowadays intestinal lymphoma is considered to be the most common tumor of alimentary tract in cats.The disease is characterized by severe course and poor response to chemotherapy.Since this tumor shares clinical Brushes and ultrasound characteristics with inflammatory bowel disease, the diagnosis is challenging and requires avariety of diagnostic m

The process of manually generating question and answer (QA) pairs for assessments is known to be a time-consuming and energy-intensive task for teachers, specifically in higher education.Several studies have proposed various methods utilising pre-trained large language models for the generation of QA pairs.However, it is worth noting that these met

Predicting molecular properties with Graph Neural Networks (GNNs) has recently drawn a lot of attention, with compound toxicity prediction being one of the biggest challenges.In cases where there is insufficient labeled molecule data, an effective approach is to pre-train GNNs on large-scale unlabeled molecular data and then fine-tune them for down