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  1. 4701

    Chemical Characterization of Water-soluble Ions and Metals in Particulate Matter Generated by a Portable Two-stroke Gasoline Engine by Jen-Hsiung Tsai, Shui-Jen Chen, Sheng-Lun Lin, Zheng-You Xu, Kuo-Lin Huang, Chih-Chung Lin

    Published 2021-02-01
    “…Based on fuel consumption, EFs of ΣIons were the lowest when utilizing the LS additive (avg. 89.7 mg L-fuel−1), followed by the MS and SLS (165 and 168 mg L-fuel−1, in average, respectively); whereas the lowest levels of ΣMetals were observed by using MS additive (avg. 61.3 mg L−1), followed by using the LS (avg. 83.8 mg L−1) and SLS (avg. 85.2 mg L−1). …”
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  2. 4702

    Spireoside Controls Blast Disease by Disrupting Membrane Integrity of Magnaporthe oryzae by Xu Liting, He Kaiwei, Guo Chunyu, Quan Cantao, Ma Yahuan, Zhang Wei, Ren Lifen, Wang Long, Song Li, Ouyang Qing, Yin Junjie, Zhu Xiaobo, Tang Yongyan, He Min, Chen Xuewei, Li Weitao

    Published 2025-01-01
    “…In this study, we conducted a metabolomic analysis on both blast-resistant (Digu) and -susceptible (Lijiangxintuanheigu) rice varieties to uncover novel metabolites that enhance blast resistance. We found that 24 and 48 h post-inoculation with Magnaporthe oryzae were critical time points for metabolomic profiling, based on the infected status of M. oryzae in rice and the observed differences in shikimate accumulation between the two varieties. …”
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  3. 4703

    Emission Characteristics of Volatile Organic Compounds from Typical Coal Utilization Sources: A Case Study in Shanxi of Northern China by Yang Xu, Hualong Yu, Yulong Yan, Lin Peng, Rumei Li, Cheng Wang, Zhiyong Li

    Published 2021-05-01
    “…Finally, alkenes were primarily responsible for the ozone formation (73.1%, 59.0%, and 87.6% for the power plants, steel plants, and residential stoves, respectively), whereas aromatics were primarily responsible for the SOA formation (more than 94.0% for all four coal-utilizing sources).…”
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  4. 4704
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  13. 4713

    Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

    Published 2025-02-01
    “…Among the 833 patients, 126 (15.1%) developed SIRS postoperatively. All five machine learning models demonstrated strong discrimination on the validation set (AUC: 0.690–0.858). …”
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  14. 4714
  15. 4715

    A knowledge graph for crop diseases and pests in China by Rongen Yan, Ping An, Xianghao Meng, Yakun Li, Dongmei Li, Fu Xu, Depeng Dang

    Published 2025-02-01
    “…CropDP-KG covers relevant information on crop diseases and pests in China, featuring 8 primary entities such as diseases, symptoms, and crops, and is organized into 7 relationships such as primary occurrence locations, affected parts and suitable temperature. …”
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