Publications by authors named "W Ku"
Article Synopsis
- - The research focuses on improving the understanding of gene sets and pathways in biomedical data using enhanced gene lists called PAGs (pathways, annotated gene lists, and gene signatures), which include additional metadata to support biological insights.
- - A new clustering method named todenE combines topology-based and density-based approaches to better identify groups of PAGs, creating clearer functional representations known as Super-PAGs, while utilizing Large Language Models (LLM) to enrich contextual information.
- - Through performance comparisons and innovative metrics like the Disparity Index (DI), the study assesses different clustering methods, ultimately showing that todenE offers improved semantic quality and inclusivity in gene clustering when applied to various datasets.
Background And Aim: The COVID-19 pandemic has led to a significant adverse effect on the mental health of healthcare professionals. This study aims to assess the effects of the prolonged pandemic on burnout and mood disorders and to evaluate the influence of positive vaccination beliefs on these factors at a medical center during the extended COVID-19 pandemic.
Methods: This retrospective study analyzed the results of an online questionnaire survey including burnout status and mood disorders from 2020 to 2022.
Plant senescence is a highly coordinated process that is intricately regulated by numerous endogenous and environmental signals. The involvement of phytic acid in various cell signaling and plant processes has been recognized, but the specific roles of phytic acid metabolism in Arabidopsis leaf senescence remain unclear. Here, we demonstrate that in the multiple inositol phosphate phosphatase (AtMINPP) gene, encoding an enzyme with phytase activity, plays a crucial role in regulating leaf senescence by coordinating the ethylene signal transduction pathway.
View Article and Find Full Text PDFIn great contrast to the numerous discoveries of superconductivity in layer-stacked graphene systems, the absence of superconductivity in the simplest monolayer graphene remains quite puzzling. Here, through realistic computation of the electronic structure, we identify a systematic trend that superconductivity emerges only upon alteration of the low-energy electronic lattice from the underlying honeycomb atomic structure. We then demonstrate that this inhibition can result from geometric frustration of the bond lattice that disables the quantum phase coherence of the order parameter residing on it.
View Article and Find Full Text PDFSystemic sclerosis (SSc) is a chronic autoimmune disease characterized by fibrosis of the skin and multiple vital organs, but the immunological pathogenesis of SSc remains unclear. We show here that miR-19b promotes Th9 cells that exacerbate SSc. Specifically, miR-19b and interleukin (IL)-9 increase in CD4 T cells in experimental SSc in mice induced with bleomycin.
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