Publications by authors named "S M Ko"

Metallic nanowires have served as novel materials for soft electronics due to their outstanding mechanical compliance and electrical properties. However, weak adhesion and low mechanical robustness of nanowire networks to substrates significantly undermine their reliability, necessitating the use of an insulating protective layer, which greatly limits their utility. Herein, we present a versatile and generalized laser-based process that simultaneously achieves strong adhesion and mechanical robustness of nanowire networks on diverse substrates without the need for a protective layer.

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Objective: To quantify treatment preferences for food allergy management options (oral immunotherapy, biologic therapy, and allergen avoidance), overall and by sociodemographic strata.

Methods: A US general population (≥13 years) discrete choice experiment (DCE) conducted comprised of 12 treatment-feature focused DCE choice sets; the Intolerance of Uncertainty─12 Scale (IUS-12); and clinical/demographic questions. Conditional logistic regression analyses were conducted overall and by age, income, urbanization, educational attainment, food and other sociodemographic factors, and presented as odds ratios (ORs) with 95% confidence intervals (CIs).

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A particle current generated by pumping in the absence of gradients in potential energy, density or temperature is associated with non-trivial dynamics. A representative example is charge pumping that is associated with the quantum Hall effect and the quantum anomalous Hall effect. Spin pumping, the spin equivalent of charge pumping, refers to the emission of a spin current by magnetization dynamics.

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Objectives: This clinical study assessed the three-year, long-term effects of esaxerenone, a non-steroidal aldosterone receptor blocker, on Japanese patients with type 2 diabetes, diabetic kidney disease, and hypertension who were receiving renin-angiotensin system inhibitors.

Materials And Methods: Data from a computerized diabetic care database were used to retrospectively compare esaxerenone users (Group A) with non-esaxerenone users (Group B). Propensity score weighting was applied to Group B.

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Hemangiosarcoma is a highly malignant tumor commonly affecting canines, originating from endothelial cells that line blood vessels, underscoring the importance of early detection. This canine cancer is analogous to human angiosarcoma, and the development of liquid biopsies leveraging cell-free DNA (cfDNA) represents a promising step forward in early cancer diagnosis. In this study, we utilized Whole Genome Sequencing (WGS) to analyze fragment sizes and copy number alterations (CNAs) in cfDNA from 21 hemangiosarcoma-affected and 36 healthy dogs, aiming to enhance early cancer detection accuracy through machine learning models.

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