Yingyi Luo
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Associations between DigComp 2.2-based digital competence and multidimensional health literacy among older adult learners in Shanghai Universities of the Third Age: a cross-sectional study
Abstract Background: Digital competence may influence older adults' engagement with health information in increasingly digitalized societies. However, evidence on the association between DigComp 2.2-based digital competence and multidimensional health literacy remains limited. This study examined digital competence levels and its associations with health literacy domains among older adult learners in Shanghai Universities of the Third Age.
Native Chinese readers activate English translations of words during Chinese sentence reading
This study tested whether native Chinese (L1) readers whose second language (L2) was English could activate L2 translations of L1 words during L1 sentence reading. Chinese–English bilinguals read Chinese sentences silently, each containing a target word whose parafoveal preview was manipulated.
Predicting response to neoadjuvant therapy in breast cancer using longitudinal DCE-MRI deep learning integrated with tumor microenvironment data
Abstract Objective: This study developed and validated a multimodal fusion model to enable the early and accurate prediction of pathological complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer. The model integrates deep learning (DL) features derived from longitudinal dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) acquired early during treatment, peripheral blood inflammatory (PBI) indices, and baseline levels of tumor-infiltrating lymphocytes (TILs).
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