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Kuan-Hung Chen

Researcher at Chang Gung University

Publications -  124
Citations -  1743

Kuan-Hung Chen is an academic researcher from Chang Gung University. The author has contributed to research in topics: Renal function & Active noise control. The author has an hindex of 18, co-authored 115 publications receiving 1322 citations. Previous affiliations of Kuan-Hung Chen include National Chung Cheng University & Feng Chia University.

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Journal Article

Adipose-derived mesenchymal stem cell-derived exosomes alleviate overwhelming systemic inflammatory reaction and organ damage and improve outcome in rat sepsis syndrome.

TL;DR: HMSCEXO might be superior to AMS CEXO for improving survival and suppressing the inflammatory reactions in rats after SS, and this study tested the hypothesis that healthy adipose-derived mesenchymal stem cell (ADMSC)-derived exosomes were comparably effective at alleviating sepsis syndrome.
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Melatonin pretreatment enhances the therapeutic effects of exogenous mitochondria against hepatic ischemia-reperfusion injury in rats through suppression of mitochondrial permeability transition.

TL;DR: Melatonin‐supported mitochondria treatment offered an additional benefit of alleviating hepatic IR injury, and mitochondrial integrity marker (mitochondrial cytochrome c) showed an opposite pattern compared to that of liver injury score.
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Human Umbilical Cord-Derived Mesenchymal Stem Cells for Acute Respiratory Distress Syndrome.

TL;DR: The result of this phase I clinical trial showed that a single-dose IV infusion of human umbilical cord-derived mesenchymal stem cells was safe with favorable outcome in nine acute respiratory distress syndrome patients.
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A Low-Power Multiplier With the Spurious Power Suppression Technique

TL;DR: This paper provides the experience of applying an advanced version of the former spurious power suppression technique (SPST) on multipliers for high-speed and low-power purposes and shows that the SPST implementation with AND gates owns an extremely high flexibility on adjusting the data asserting time which not only facilitates the robustness of SPST but also leads to a 40% speed improvement.