Sökresultat - Juan Tang

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  1. 1

    Unlocking Retail Insights: Predictive Modeling and Customer Segmentation Through Data Analytics av Juan Tang

    Publicerad 2025-03-01

    This research aims at examining the progress of retail demand forecasting and customer classification via regression models and RFM analysis in the retail chain industry. Entailing actual retail sales data, this work utilizes three regression models:—MLP Regressor, Ridge Regressor, and KNN Regressor...

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  2. 2

    Kaili sour soup in alleviation of hepatic steatosis in rats via lycopene route: an experimental study av Yi Li, Shuo Cong, Rui Chen, Juan Tang, Liqiong Zhai, Yongmei Liu

    Publicerad 2025-12-01

    Background Nonalcoholic fatty liver disease (NAFLD) is one of the most prevalent chronic liver diseases, with a range of manifestations, such as hepatic steatosis. Our previous study showed that Kaili Sour Soup (KSS) significantly attenuated hepatic steatosis in rats. This study explored the main co...

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  3. 3

    Involvement of the cytochrome P450 genes CYP6DW3 and CYP4C64 in afidopyropen resistance in Bemisia tabaci Mediterranean (Q biotype) av Lijun Ma, Juan Tang, Qinghe Zhang, Bingli Gao, Cheng Qu, Ran Wang, Chen Luo

    Publicerad 2025-05-01

    The tobacco whitefly, Bemisia tabaci, is a notorious pest affecting various crops globally, and it exhibits high levels of resistance to various insecticides. Afidopyropen is a recently commercialized pyropene insecticide for B. tabaci control with high selectivity and a novel mode of action. We pre...

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  4. 4

    Variations in chlorophyll content, stomatal conductance, and photosynthesis in Setaria EMS mutants av Chan-juan TANG, Ming-zhao LUO, Shuo ZHANG, Guan-qing JIA, Sha TANG, Yan-chao JIA, Hui ZHI, Xian-min DIAO

    Publicerad 2023-06-01

    Chlorophyll (Chl) content, especially Chl b content, and stomatal conductance (Gs) are the key factors affecting the net photosynthetic rate (Pn). Setaria italica, a diploid C4 panicoid species with a simple genome and high transformation efficiency, has been widely accepted as a model in photosynth...

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  5. 5

    Development and validation of an explainable machine learning model for predicting postoperative pulmonary complications after lung cancer surgery: a machine learning studyResearch... av Shaolin Chen, Ting Deng, Qing Yang, Jin Li, Juanyan Shen, Xu Luo, Juan Tang, Xulian Zhang, Jordan Tovera Salvador, Junliang Ma

    Publicerad 2025-08-01

    Summary: Background: Early identification and prediction of postoperative pulmonary complications (PPCs) are vital for patient management in lung cancer (LC) surgery. However, existing predictive models often lack comprehensive validation and interpretability. This study aimed to develop and valida...

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