Publications by authors named "G L Yu"

Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ) are key downstream effectors of the Hippo pathway that regulate organ size, tissue homeostasis, and cancer development. YAP/TAZ play crucial regulatory roles in organ growth, cell proliferation, cell renewal, and regeneration. Mechanistically, YAP/TAZ influence the occurrence and progression of liver regeneration (LR) through various signaling pathways, including Notch, Wnt/β-catenin, TGF-β/Smad.

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Sweat lactate levels are closely related to an individual's physiological state and serve as critical indicators for assessing exercise intensity, muscle fatigue, and certain pathological conditions. Screen-printed electrodes (SPEs) offer a promising avenue for the development of low-cost, high-performance wearable devices for electrochemical sweat analysis. The material composition of SPEs significantly impacts their detection sensitivity and stability.

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A series of Matijin-Su (MTS) derivatives were designed, synthesized and the anti-HBV activity evaluated in vitro. Twelve compounds displayed good inhibition on HBV DNA replication with micromolar IC50 values (0.14 - 4.

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To investigate the quality and safety difference between agricultural standardization bases and small-scale farmers, we carried out a three-year investigation of asparagus from seven production sites of different sizes in Pinghu city, Zhejiang Province, China, from 2021 to 2023. We documented trace elements (Fe, Zn, Mn, and Cu), quality indicators (vitamin B1, vitamin B2, vitamin C, total sugar, and proteins), and pesticide residues. The evaluation indicated that the quality of asparagus in standardization bases 1-4 was higher than that in small farmer sites 5-7.

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Objective: While current multimodal approaches in the diagnosis and severity assessment of pneumonia demonstrate remarkable performance, they frequently overlook the issue of modality absence-a common challenge in clinical practice. Thus, we present the (RMT) model, crafted to bridge this gap. The RMT model aims to enhance diagnosis and severity assessment accuracy in situations with incomplete data, thereby ensuring it meets the complex needs of real-world clinical settings.

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