Publications by authors named "R Li"

The complete mitogenome of the common Chinese whip scorpion, (Butler, 1872) was sequenced and compared with another Uropygid mitogenome of (Lucas, 1835). Structural divergences include the absence of one tRNA-Leu and strand inversions in four protein coding genes (PCGs). All PCGs showed K/K ratios-1, which indicates purifying selection, with COI (0.

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Constructing heterogeneous dual-site catalysts is anticipated for oxygen evolution reaction (OER). However, compared to the adsorbate evolution mechanism (AEM), the triggering oxide pathway mechanism (OPM) for catalysts poses challenges due to elusive structural evolution and low intrinsic activity. Herein, considering the distinct adsorption propensity of heterogeneous Ni-Fe sites toward differential intermediates (OH-O), the PO-induced deep reconstruction triggers a dual-site Ni-Fe discrepant oxide pathway mechanism (DOPM) for R-PO-NiCoFeOOH.

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In mammals, cholesterol accumulation in tissues often results in health damage, such as oxidative stress. In contrast, the adverse effects of cholesterol accumulation on the physiological health of fish remain largely unexplored. The present study investigated the impacts of cholesterol accumulation on oxidative stress and the potential mechanisms involved in Nile tilapia ().

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Background: Laryngeal cancer (LC), the second most common head and neck malignancy, with significant global geographical disparities in incidence and mortality, was analyzed using 2021 Global Burden of Disease (GBD) data to assess Socio-Demographic Index (SDI) correlations and project disease burden through 2050, aiming to reduce its global impact.

Methods: Using data from the GBD 2021, we investigated the incidence, prevalence, deaths, and Disability-Adjusted Life Years (DALYs) of LC, as well as trends, age-sex-time patterns, driving factors, and projections up to 2050.

Results: In 2021, LC increased with age and decreased after the age of 70.

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Introduction: Colon cancer ranks among the most prevalent and lethal cancers globally, emphasizing the urgent need for accurate and early diagnostic tools. Recent advances in deep learning have shown promise in medical image analysis, offering potential improvements in detection accuracy and efficiency.

Methods: This study proposes a novel approach for classifying colon tissue images as normal or cancerous using Detectron2, a deep learning framework known for its superior object detection and segmentation capabilities.

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