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 "Chen, Xinpu"
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Stratification of Pediatric COVID-19 Cases Using Inflammatory Biomarker Profiling and Machine Learning

Publication Type: Academic Journal

Source(s): Journal of Clinical Medicine, Vol 12, Iss 17, p 5435 (2023)

Abstract: While pediatric COVID-19 is rarely severe, a small fraction of children infected with SARS-CoV-2 go on to develop multisystem inflammatory syndrome (MIS-C), with substantial morbidity. An objective method with high specificity and high sensitivity to i...

A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor

Publication Type: Academic Journal

Source(s): Frontiers in Neuroinformatics, Vol 16 (2022)

Abstract: PurposeTo propose a deep learning network with subregion partition for predicting metastatic origins and EGFR/HER2 status in patients with brain metastasis.MethodsWe retrospectively enrolled 140 patients with clinico-pathologically confirmed brain meta...

Detection of Antibiotic Resistance, Virulence Gene, and Drug Resistance Gene of Staphylococcus aureus Isolates from Bovine Mastitis

Publication Type: Academic Journal

Source(s): Microbiology Spectrum, Vol 10, Iss 4 (2022)

Abstract: ABSTRACT Antimicrobial therapy plays an important role in mastitis control caused by Staphylococcus aureus but has become less effective due to widespread drug resistance. The purpose of this study was to detect antibiotic resistance, drug resistance g...

Maintenance Skill Training Gives Agricultural Socialized Service Providers More Advantages

Publication Type: Academic Journal

Source(s): Agriculture, Vol 13, Iss 1, p 135 (2023)

Abstract: Agricultural machinery maintenance skill training is conducive to improving the fault diagnosis and maintenance levels of agricultural machinery for agricultural socialized service providers and plays an important role in providing stable and reliable ...

Logarithmic Negation of Basic Probability Assignment and Its Application in Target Recognition

Publication Type: Academic Journal

Source(s): Information, Vol 13, Iss 387, p 387 (2022)

Abstract: The negation of probability distribution is a new perspective from which to obtain information. Dempster–Shafer (D–S) evidence theory, as an extension of possibility theory, is widely used in decision-making-level fusion. However, how to reasonably con...

Stratification of Pediatric COVID-19 Cases Using Inflammatory Biomarker Profiling and Machine Learning.

Publication Type: Academic Journal

Source(s): Journal of Clinical Medicine; Sep2023, Vol. 12 Issue 17, p5435, 20p

Abstract: Copyright of Journal of Clinical Medicine is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or e...

A novel divergence measure in Dempster–Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion

Publication Type: Academic Journal

Source(s): International Journal of Distributed Sensor Networks, Vol 17 (2021)

Abstract: Dempster–Shafer (D–S) evidence theory is more and more extensively applied in multi-sensor data fusion. However, it is still an open issue that how to effectively combine highly conflicting evidence in D–S evidence theory. In this article, a novel dive...

Performance analysis of new structure heat exchanger based on field synergy and numerical simulation

Publication Type: Academic Journal

Source(s): E3S Web of Conferences, Vol 260, p 01019 (2021)

Abstract: High efficiency heat exchanger is always a hot topic, and field synergy theory is introduced as an important means to optimize the heat transfer efficiency. Based on the field synergy theory, a new type of heat exchanger is proposed in this paper, in w...

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