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Mingwei Chen

Researcher at Johns Hopkins University

Publications -  1108
Citations -  63568

Mingwei Chen is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 108, co-authored 536 publications receiving 51351 citations. Previous affiliations of Mingwei Chen include National Taiwan University & Chiba University.

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Linking ecosystem services to a coastal bay ecosystem health assessment: A comparative case study between Jiaozhou Bay and Daya Bay, China

TL;DR: Wang et al. as mentioned in this paper developed an integrated ecosystem health assessment framework based on ecosystem services specific to coastal bays, particularly exploring approaches to determine critical indicators and establish a reference benchmark, and applied the framework to two typical coastal bay (Jiaozhou Bay and Daya Bay) to ascertain significant health differences, subsequent challenges and prospective management.
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Ti2C3Tx/Polyurethane Constructed by Gas-Liquid Interface Self-Assembly for Underwater Sensing.

TL;DR: In this paper , the authors report the design of the Ti2C3Tx/polyurethane composites prepared by a facile gas-liquid interface self-assembly.
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Effects of dulaglutide on endothelial progenitor cells and arterial elasticity in patients with type 2 diabetes mellitus

TL;DR: In this paper , the effect of dulaglutide on the number and function of endothelial progenitor cells (EPCs) in the peripheral blood of patients with Type 2 diabetes mellitus (T2DM) and its role in improving arterial elasticity was investigated.
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Constraining composition and temperature variations in the mantle transition zone

TL;DR: In this article , the authors measured the single-crystal elastic properties of hydrous Fe-bearing wadsleyite at high pressure-temperature conditions by Brillouin spectroscopy.
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Is Discourse Role Important for Emotion Recognition in Conversation?

TL;DR: A novel method to exploit latent discourse role information of an utterance to determine the emotion it conveys in a conversation is proposed, using a variant of the Variational-Autoencoder to model the context-aware latent discourse roles of each utterance in an unsupervised way.