Publications by authors named "J Z Shen"

Recent developments in artificial intelligence and the internet-of-things have created great demand for low-power microelectronic devices. Two-dimensional (2D) electrical switching materials are extensively used in neuromorphic computing technology, yet their high leakage current and low endurance impede their further application. This study presents a vertical crossbar-structured conductive-bridge threshold switching device based on 2D TaSe oxide.

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Despite its importance in understanding biology and computer-aided drug discovery, the accurate prediction of protein ionization states remains a formidable challenge. Physics-based approaches struggle to capture the small, competing contributions in the complex protein environment, while machine learning (ML) is hampered by the scarcity of experimental data. Here, we report the development of p ML (KaML) models based on decision trees and graph attention networks (GAT), exploiting physicochemical understanding and a new experiment p database (PKAD-3) enriched with highly shifted p's.

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Background: The difference between the estimated glomerular filtration rate (eGFR) calculated from cystatin C and creatinine (eGFRdiff) serves as a biomarker of kidney function impairment. However, the role of eGFRdiff in cardiovascular-kidney-metabolic (CKM) health and its impact on mortality in CKM syndrome patients has not yet been studied.

Methods: This study included 3,622 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2004.

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The contrasting response of AOA, AOB, and comammox transcript abundance to temperature, moisture, and nitrogen was investigated using soil microcosms. The moisture, temperature, and nitrogen treatments were selected to represent conditions typically found in a New Zealand (NZ) dairy farm. AOB dominated all synthetic urine treated soils.

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Rheumatoid arthritis (RA), a chronic inflammatory joint disease causing permanent disability, involves exosomes, nanosized mammalian extracellular particles. Circular RNA (circRNA) serves as a biomarker in RA blood samples. This research screened differentially expressed circRNAs in RA patient plasma exosomes for novel diagnostic biomarkers.

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