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  1. 18641

    Application research of 3D virtual interactive technology in interactive teaching of arts and crafts by Mingqi Yao

    Published 2024-12-01
    “…The proposed model effectively optimizes the virtual reality teaching process of arts and crafts, and provides a useful contribution to the application of virtual reality in the field of education.…”
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    What does Bayesian probit regression tell us about Turkish female- and male-headed households poverty? by Ebru Çağlayan-Akay, Gülşah Sedefoğlu

    Published 2017-05-01
    “…Bayesian probit regression is applied using a Markov Chain algorithm, Gibbs sampler. The results of the study show that the most effective variables, which cause a decrease of the probability of living under poverty line, are education level of bachelor for 4 years, master and PhD for female-headed households and household type of being single adult for male-headed households in urban area, working full time for male- and female-headed households in rural area. …”
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    Diagnostics-linked Antimicrobial Surveillance: A Route to Patient-Centred Microbiology Diagnostics? by Dr Alex Howard, Dr Charlotte Brookfield, Dr Conor Rosato, Dr Anoop Velluva, Dr Alessandro Gerada, Professor William Hope

    Published 2025-03-01
    “…In this study we trialled a microbiology diagnostics-linked antimicrobial surveillance (DLAS) algorithmic approach on real-world urine antimicrobial susceptibility testing and antimicrobial prescribing data. …”
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    LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

    Published 2025-01-01
    “…ABSTRACT Background Plasma protein has gained prominence in the non‐invasive predicting of lung cancer. We utilised Zeolite Zotero NaY‐based plasma proteomics to investigate its potential for multiple event predicting, including lung cancer diagnosis (task #1), lymph node metastasis detection (task #2) and tumour‒node‒metastasis (TNM) staging (task #3). …”
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  10. 18650

    Mapping the global risk of chikungunya virus endemicity and autochthonous transmission following importation by Yu-Feng Yang, Yun-Bo Qiu, Qiang Xu, Rui-Cheng Gao, Tian Tang, Yao Tian, Yan-He Wang, Sheng-Hong Lin, Yun-Dong Shi, Long-Tao Chen, Yan Zhang, Jun Ma, Chen-Long Lv, Guo-Lin Wang, Hai-Feng Pan, Wei Liu, Li-Qun Fang

    Published 2025-09-01
    “…Subsequently, the respective risk distributions of CHIKV occurrences were projected and used the SHAP method to rank feature importance and interpret model predictions. Results: Machine learning frameworks that stratifying endemic zones and importation-transmission prone regions have revealed consistent ecological drivers, albeit with significantly discrepant rankings of feature importance. …”
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    Computational thinking skills in mathematics: A study of social arithmetic by Budi Mulyono, Hapizah, Dian Cahyawati Sukanda

    Published 2024-12-01
    “…Despite its significance, the integration of CT in mathematics education, particularly in secondary school curricula, remains insufficiently explored, leading to a gap in understanding students' proficiency in CT skills. …”
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    ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

    Published 2025-12-01
    “…This study introduces an enhanced object detection algorithm, EIEStem-v7DS'Sample-LSCD-CA-YOLOv8n (ESLC-YOLOv8), designed for real-time pineapple detection in complex agricultural environments. …”
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  20. 18660

    Co-drivers of air pollutant and CO2 emissions in China from 2000 to 2020 by Wenxin Cao, Yixuan Zheng, Shaohui Zhang, Zbigniew Klimont, Xian’en Wang, Fangming Jiang, Zhulin Qi, Chuchu Chen, Yueyi Feng, Zechen Zhang, Hongkuan Zang, Yu Lei, Gang Yan

    Published 2025-07-01
    “…Energy and climate policies, particularly those focused on structural adjustments, are increasingly instrumental in driving pollution-carbon co-reduction. Compared to the earlier period, the fractional contribution of energy and climate policies to emission reductions of SO2, NO x , PM2.5, and CO2 increased by 1.3-8.6 times during 2010-2020, respectively. …”
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