Publications by authors named "Y S Hsieh"

Single-cell genomics technologies have accelerated our understanding of cell-state heterogeneity in diverse contexts. Although single-cell RNA sequencing identifies rare populations that express specific marker transcript combinations, traditional flow sorting requires cell surface markers with high-fidelity antibodies, limiting our ability to interrogate these populations. In addition, many single-cell studies require the isolation of nuclei from tissue, eliminating the ability to enrich learned rare cell states based on extranuclear protein markers.

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Background: Cirrhotic patients with refractory ascites exhibit severe portal hypertension and hemodynamic disturbances. The risks associated modest-volume paracentesis (<5 L) for refractory ascites remains unclear. We aimed to explore the impact of modest-volume paracentesis in refractory ascites.

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Background: Atrial fibrillation (AF) increases the risks of stroke and mortality. It remains unclear whether rhythm control reduces the risk of stroke in patients with AF concomitant with hypertrophic cardiomyopathy (HCM).

Methods: We identified AF patients with HCM who were ≥ 18 years old in the Taiwan National Health Insurance Database.

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The shielding performance and activation susceptibility of a sandwich wall in the proton therapy facility of China Medical University Hospital were investigated in an integrated manner using FLUKA Monte Carlo simulations. The 2-m-thick partition wall between two adjoining treatment rooms had a three-layered structure, which comprised a 0.2-m-thick iron layer sandwiched between two layers of 0.

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With the rapid development of the autonomous vehicles industry, there has been a dramatic proliferation of research concerned with related works, where road markings detection is an important issue. When there is no public open data in a field, we must collect road markings data and label them by ourselves manually, which is huge labor work and takes lots of time. Moreover, object detection often encounters the problem of small object detection.

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