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ObjectiveTo report a preliminary experience of outpatient management of patients with Coronavirus disease 2019 (COVID-19) through an innovative approach of healthcare delivery.Patients and MethodsPatients evaluated at the Mild-to-Moderate COVID-19 ...
Rebecca De Lorenzo+23 more
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Embedding complete multi-partite graphs into Cartesian product of paths and cycles
Graph embedding is a powerful method in parallel computing that maps a guest network G into a host network H. The performance of an embedding can be evaluated by certain parameters, such as the dilation, the edge congestion, and the wirelength.
R. Sundara Rajan+4 more
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Social network influences on employee responses to organizational withdrawals [PDF]
Purpose – The purpose of this paper is to develop a more detailed understanding of how embedding in different social networks relates to different types of action that individuals choose in the context of organizational closures, downsizing or ...
Frank Siedlok+2 more
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Emerging evidence indicates that circRNA can regulate various diseases. However, the mechanisms of circRNA in these diseases have not been fully understood.
Qingyu Liu+4 more
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As one of the most important posttranslational modifications (PTMs), protein lysine glycation changes the characteristics of the proteins and leads to the dysfunction of the proteins, which may cause diseases.
Yinbo Liu+5 more
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We herein report the effect of the viscosity of a prepolymer solution on the thickness uniformity of silver-nanowire-embedded flexible transparent electrodes.
Moonsoo Chae+6 more
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In this paper, we introduce an efficient approach to multi-label image classification that is particularly suited for scenarios requiring rapid adaptation to new classes with minimal training data.
Youngki Park, Youhyun Shin
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A Review on Acoustic Emission Testing for Structural Health Monitoring of Polymer-Based Composites
Acoustic emission (AE) has received increased interest as a structural health monitoring (SHM) technique for various materials, including laminated polymer composites.
Noor Ghadarah, David Ayre
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LncRNA-Disease Associations Prediction Based on Neural Network-Based Matrix Factorization
Numerous experiments have demonstrated that long non-coding RNA (lncRNA) play an important role in various systems of the human body. LncRNA deletions or mutations can cause human disease. The prediction of lncRNA-disease associations is conducive to the
Yue Liu+4 more
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Spoken and Sign Language Emergence: A Comparison
A comparison of emerging signed languages and creole languages provides evidence that, when language is emerging, it prioritizes marking the novelty of information; is readily recursive; favors the manner of action (aspect) over the time of action (tense)
John McWhorter
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