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    Case report: A case of acute renal failure, rhabdomyolysis, and toxic encephalopathy associated with diquat poisoning in a pregnant woman by Mengqin Li, Bao Qin, Yuan Chen, Yan Cui, Ying Chun Hu, Zhi Jiang

    Published 2025-02-01
    “…The patient was discharged from the hospital after 37 days of treatment with a Glasgow–Pittsburgh Cerebral Classification (CPC) score of grade 2.this was a case of diquat poisoning complicated with renal failure, rhabdomyolysis, and toxic encephalopathy in a pregnant, which would enrich the experience of diquat poisoning treatment.…”
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    Shoreline Stability Analysis At Merah Putih Beach, Bangkalan Regency by Dyah Ambarwati Rieke, Dwi Siswanto Aries

    Published 2025-01-01
    “…The results showed that shoreline changes at Merah Putih Beach, Bangkalan Regency during the 2013-2024 period indicated abrasion with an average shoreline distance of 14.99 meters and with an average rate of 1.37 m / year. According to the classification of the coastline in DSAS statistics, the two segments with a value of 0.511 meters / year and -0.768 meters / year are included in the moderate abrasion category. …”
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    Canal configurations of mandibular anterior teeth in Erbil city by CBCT by Azhin Mustafa Goran, Fareed Hanna Rofoo

    Published 2020-06-01
    “…For classification of morphology of the root canal, Vertucci method was used. …”
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    Performance of Sisal Fabre as Natural Geotextile to Reinforce Soil Layers on Unpaved Road. by Kyomugasho, Lilian

    Published 2024
    “…The findings relating to these laboratory tests include: The liquid limit was 38%, plastic limit was 21%, plasticity index 17%, MDD was increased from 1.829 to 1.849Mg/M3 and CBR values using 60,30 and 10 blows increased from 3.7% to 9.2%,6.9%, 5.2%after the application of sisal fibre after the second, third and fourth layers of the soil compared to the CBR values without sisal and particle size was obtained and the clay soil was classified as silty or clayey grave sand and soil sample fall under group classification of A-2-6. …”
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    Thesis
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    Survey of Vegetation cover Changes in Forcados Area of the Niger Delta by Akuro Adoki

    Published 2013-07-01
    “…The major changes are the decline in the areal coverage of mature forest by about 21% between 1988 and 1998 and 40% from 1988-2008; phenonmenal increase of secondary forest by over 800% between 1988 and 2008; decline in the areal coverage of mangrove vegetation by about 37% from 1988-2008; and progressive increase in the area occupied by stressed vegetation by 7% from 1988-1998 and 38% from 1988-2008. …”
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    Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

    Published 2025-01-01
    “…Abstract A Sequence-Variable Attention Temporal Convolutional Network (SVA-TCN) is proposed for lithology classification based on well log data. This study aims to address the issue that native TCN pays insufficient attention to crucial logging variables and sequence structural features in well log tasks. …”
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    Clinical and Morphological Manifestations of Gastritis and Serum Cytokine Levels in Schoolchildren with Familial History of Gastric Cancer by T. V. Polivanova, E. V. Kasparov, V. A. Vshivkov

    Published 2021-10-01
    “…Gastritis was graded in the Sydney classification. Serum cytokine levels (IL-2, IL-4, IL-8, IL-18, IL-1β, IFN-α, TNM-α) were obtained in enzyme immunoassays (ELISA).Results. …”
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    Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

    Published 2025-03-01
    “…Results: Models showed strong performance on the retrospective TTE datasets (LVEF regression: root mean squared error (RMSE)=6.83%, 6.53%, and 6.95% for Rochester, Arizona, and Florida cohorts, respectively; classification of LVEF ≤40% versus LVEF > 40%: area under curve (AUC)=0.962, 0.967, and 0.980 for Rochester, Arizona, and Florida, respectively; age: RMSE=9.44% for Rochester; sex: AUC=0.882 for Rochester), and performed comparably for prospective HCU versus TTE data (LVEF regression: RMSE=6.37% for HCU vs 5.57% for TTE; LVEF classification: AUC=0.974 vs 0.981; age: RMSE=10.35% vs 9.32%; sex: AUC=0.896 vs 0.933). …”
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