Publications by authors named "Fei Ming"

Lung adenocarcinoma (LUAD) is characterized by its aggressive nature and resistance to treatment. FAM107A is a tumor suppressor gene that has been found to possess inhibitory effects in several cancers, but its role in LUAD remains unclear. This study investigated the role of FAM107A in regulating LUAD cell growth, invasion and aerobic glycolysis and also investigated the potential underlying mechanisms.

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Background: Circular RNA hsa_circ_0087378 (circ_0087378) has been found to have different functions in different cancer types. However, its function in non-small cell lung cancer (NSCLC) remains unclear. This study revealed the effect of circ_0087378 on the malignant behavior of NSCLC cells to broaden the options for NSCLC treatment.

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Microalgae consortium is a promising technology for achieving low-carbon and resource utilization goals in municipal wastewater treatment. However, little is known about how the consortium affects the treatment performance in the startup stage of co-cultivation. Herein, photobioreactors were constructed with different contents of microalgae and activated sludge (AS) (wt.

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Article Synopsis
  • Research on constrained many-objective optimization problems (CMaOPs) is limited compared to other optimization areas, with challenges in achieving a balance between feasibility, convergence, and diversity.
  • * The article introduces a new evolutionary algorithm called CMME, which enhances mating and environmental selections through innovative ranking strategies and individual density estimations.
  • * Extensive evaluations show that CMME outperforms nine existing algorithms in solving 13 CMaOPs and in three real-world applications.
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Surrogate-assisted evolutionary algorithms (SAEAs) have been widely used for solving complex and computationally expensive optimization problems. However, most of the existing algorithms converge slowly in the later stage. This article proposes a novel two-stage data-driven evolutionary optimization (TS-DDEO) that meets the requirements of early exploration and later exploitation.

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Background: Interleukin-6 (IL-6) was proposed to be associated with the severity of coronavirus disease 2019 (COVID-19). The present study aimed to explore the kinetics of IL-6 levels, validate this association in COVID-19 patients, and report preliminary data on the efficacy of IL-6 receptor blockade.

Methods: We conducted a retrospective single-institutional study of 901 consecutive confirmed cases.

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Protein tyrosine phosphatase receptor‑type O (PTPRO), a member of the PTP family, has been frequently reported as potential tumor suppressor in many types of cancer. However, the exact function of PTPRO in lung squamous cell carcinoma (LSCC) remains unclear. Bisulfite sequencing and methylation specific polymerase chain reaction (PCR) were used to identify the methylation status of PTPRO in LSCC cells, and quantitative methylation specific PCR was used to evaluate the methylation levels of PTPRO in LSCC patients.

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The uncertainty relation is a fundamental limit in quantum mechanics and is of great importance to quantum information processing as it relates to quantum precision measurement. Due to interactions with the surrounding environment, a quantum system will unavoidably suffer from decoherence. Here, we investigate the dynamic behaviors of the entropic uncertainty relation of an atom-cavity interacting system under a bosonic reservoir during the crossover between Markovian and non-Markovian regimes.

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