Showing 9,021 - 9,040 results of 9,271 for search 'ZX81~', query time: 1.30s Refine Results
  1. 9021

    Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis by Wensong Shi, Yuzhui Hu, Guotao Chang, He Qian, Yulun Yang, Yinsen Song, Zhengpan Wei, Liang Gao, Hang Yi, Sikai Wu, Kun Wang, Huandong Huo, Shuaibo Wang, Yousheng Mao, Siyuan Ai, Liang Zhao, Xiangnan Li, Huiyu Zheng

    Published 2025-01-01
    “…In the training set, the ROC AUC was 0.721 (95%CI: 0.642–0.801); in the validation set, AUC was 0.757 (95%CI: 0.632–0.881), showing the model’s stability and predictive ability. …”
    Get full text
    Article
  2. 9022
  3. 9023
  4. 9024

    Causal role of plasma liposome in diabetic retinopathy: mendelian randomization (MR) study by Kai Yin, Lu Ding, Xueyan Li, Yuqi Zhang, Siyu Song, Liyuan Cao, Ruixue Deng, Min Li, Zirui Li, Qinjing Xia, Daqing Zhao, Xiangyan Li, Zeyu Wang

    Published 2025-02-01
    “…Phosphatidylcholine (16:0_16:0) levels [OR = 0.869 (0.810 to 0.933), P fdr = 0.006], phosphatidylcholine (16:0_20:2) levels [OR = 0.893 (0.834 to 0.956), P fdr = 0.043] and phosphatidylethanolamine (18:0_20:4) levels [OR = 0.906 (0.863 to 0.951), P fdr = 0.006] were protective against DR, whereas sphingomyelin (d36:1) levels [OR = 1.120 (1.061 to 1.183), P fdr = 0.006], and sphingomyelin (d40:1) levels [OR = 1.081 (1.031 to 1.134), P fdr = 0.043] were associated with a greater risk of DR. …”
    Get full text
    Article
  5. 9025
  6. 9026
  7. 9027

    Joint exposure to multiple air pollutants and residual cardiovascular risk in hypertension by Yalan Li, Wei Hong, Jingjing Wu, Jie Wang, Shiqi Liu, Hong Yuan, Jingjing Cai, Rujia Miao, Jiangang Wang, Yao Lu

    Published 2025-02-01
    “…Limited studies have investigated the link between air pollution, particularly joint exposure to multiple air pollutants, with residual cardiovascular risk of hypertension. Methods: 1981 hypertensive patients (≥ 18 years) from an ongoing longitudinal cohort in China, were enrolled between 2013 and 2019. …”
    Get full text
    Article
  8. 9028

    Efecto de la concentración de silicio en suelo sobre el rendimiento agrícola en cultivos de frutilla Fragaria × ananassa (Duchesne ex Weston) Duchesne ex Rozier en Areguá, Pirayú,... by Fernando Garcete, Luz Bóveda, María Leticia Montiel, Jonny Toledo, Ana Aguilar Rabito, Daisy Ramírez, Boris Michajluk Barboza

    Published 2024-12-01
    “…La producción en los últimos años ha alcanzado alrededor de 3.581 toneladas, beneficiando principalmente a 350 productores en la zona de Areguá y sus alrededores. …”
    Get full text
    Article
  9. 9029

    CLP-Net: an advanced artificial intelligence technique for localizing standard planes of cleft lip and palate by three-dimensional ultrasound in the first trimester by Guangzhi He, Zhou Li, Zhiyuan Zhu, Tong Han, Yan Cao, Chaoyu Chen, Yuhao Huang, Haoran Dou, Lianying Liang, Fangmei Zhang, Jin Peng, Tao Tan, Hongmei Liu, Xin Yang, Dong Ni

    Published 2025-01-01
    “…Results In normal test set, mean angle(± SD)° and distance(± SD)mm differences were 6.24 ± 4.83, 9.81 ± 5.48, 15.36 ± 18.14 and 0.86 ± 0.72, 1.36 ± 1.15, 1.96 ± 2.35 for MSP ± SD, RTP ± SD and MAP ± SD, NCC and SSIM were 0.931 ± 0.079, 0.819 ± 0.122, 0.781 ± 0.157 and 0.896 ± 0.058, 0.785 ± 0.076, 0.726 ± 0.088 respectively. …”
    Get full text
    Article
  10. 9030

    Identification of the optimal candidates to benefit from surgery and chemotherapy among elderly female breast cancer patients with bone metastases by Yuchen Hu, Junfeng Tang, Xiaofeng Liu, Yusheng Sun, Baojun Gong, Qing Gao

    Published 2025-02-01
    “…This study encompassed 2257 elderly female breast cancer patients with bone metastases, divided into 1581 participants for the training cohort and 676 for the validation cohort. …”
    Get full text
    Article
  11. 9031
  12. 9032

    Supplementation of Arjun (Terminalia arjuna) bark powder prevented oxidative stress and enhanced antioxidants in kidneys on isoproterenol-treated Swiss albino mice model by Rashedul Haque, Sajib Paul, Md. Tipu Sultan, Faizul Islam Chowdhury, Md. Kawser, Shariful Islam Nayan, S.M. Hafiz Hassan, Afsana Kabir Chowdhury, Raiyana Huda, Sauda Sumaya Dina, Sheikh Zahir Raihan

    Published 2025-04-01
    “…Catalase plasma (ISO- 15.90 U/min, ISO + Arjun 2.5%- 19.75 U/min, P = 0.0070) and in catalase kidney (ISO- 381.6 U/min/g protein, ISO + Arjun 2.5%- 581.9 U/min/g protein, P = 0.0082). …”
    Get full text
    Article
  13. 9033
  14. 9034

    Work performance, physiological and hemato-biochemical responses in working buffalo with different load weights by Visoky Paján-Jiménez, Fernando D. Pazmiño-Rodríguez, Patricia Roldán-Santiago, Cristian Larrondo-Cornejo, Anna Dutro-Aceves, Luis A. de la Cruz-Cruz

    Published 2023-11-01
    “…However, the total weight of the load was greater (4,138.88, 3,830.55, 3,322.22 kg, p=0.0281), and they were stopped longer (5.59, 5.44, 5.20 h, p<0.0001), respectively. …”
    Get full text
    Article
  15. 9035
  16. 9036
  17. 9037
  18. 9038

    Depressive symptoms among the oldest-old in China: a study on rural-urban differences by Chaoqun Hu, Qinqin Jiang, Yuan Yuan, Bing Hou, Zhe Zhao, Yijun Liu, Jinhai Sun, Lei Yuan

    Published 2024-12-01
    “…In rural areas, education level (1-6: β = -0.374, 95%CI =  -0.686 to -0.062), annual income (poor: β = -0.374, 95%CI = -0.721 to -0.026; rich: β = -0.781, 95%CI = -1.115 to -0.447), exercise (yes: β = -0.844, 95%CI = -1.143 to -0.545) and SRH status (good: β = -3.023, 95%CI = -3.274 to -2.772) were protective factors, whereas body mass index (BMI) (< 18.5: β = 0.532, 95%CI = 0.221 to 0.842) and married status (widowed: β = 0.630, 95%CI = 0.283 to 0.978) were risk factors. …”
    Get full text
    Article
  19. 9039
  20. 9040

    A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

    Published 2025-02-01
    “…The AUC between the training set (n = 72) and the validation set (n = 32) were 0.881 and 0.875. SHAP value showed that the above variables were the first 4 most important. …”
    Get full text
    Article