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  1. 1481

    THE PROFILE OF FRACTURE IN PATIENTS UNDER 17 YEARS OF AGE AT RSUD DR SOETOMO IN THE PERIOD OF 2013-2014 by Satria Nur Sya'ban, Widati Fatmaningrum, Sulis Bayusentono

    Published 2019-12-01
    “…The rapid increase in motor vehicle use, a hallmark of economic growth in developing countries, led to sharp increase in road saturation and consequently, rise in traffic related injuries. …”
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  2. 1482

    Monthly Attenuation Prediction for Asphalt Pavement Performance by Using GM (1, 1) Model by Limin Tang, Duyang Xiao

    Published 2019-01-01
    “…Due to the uncertainty and variability of various factors affecting the pavement performance, the change in pavement performance cannot be completely determined. …”
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  3. 1483

    Incident duration prediction through integration of uncertainty and risk factor evaluation: A San Francisco incidents case study. by Amirreza Salehi, Ardavan Babaei, Majid Khedmati

    Published 2025-01-01
    “…Furthermore, an in-depth understanding of incident types helps in implementing preventive measures and formulating strategies to alleviate their influence on road networks. In this paper, we present a comprehensive framework for accurately predicting incident duration, with a particular emphasis on the critical role of street conditions and locations as major incident triggers. …”
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  4. 1484

    Survey on Image-Based Vehicle Detection Methods by Mortda A. A. Adam, Jules R. Tapamo

    Published 2025-05-01
    “…Vehicle detection is essential for real-world applications such as road surveillance, intelligent transportation systems, and autonomous driving, where high accuracy and real-time performance are critical. …”
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    Article
  5. 1485

    The Spatiotemporal Impact of Socio-Economic Factors on Carbon Sink Value: A Geographically and Temporally Weighted Regression Analysis at the County Level from 2000 to 2020 in Chin... by Tao Wang, Qi Liang

    Published 2025-07-01
    “…For example, the influence of urbanization and retail sales of consumer goods shifts direction over time, while the effects of industrial structure, population, road, and fixed asset investment vary across space. …”
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    TACE Combined with Lenvatinib-PD-1 Versus TACE Monotherapy as Conversion Therapy Before Liver Resection in Unresectable Hepatocellular Carcinoma: A Retrospective, Propensity Score... by Lu C, Liu R, Zhang Y, Luo J, Luo C, Jiang Z, Huang M, Qiu C, Chen J

    Published 2025-07-01
    “…Propensity score matching was employed to minimize baseline confounding variables between cohorts. Tumor response, disease-free survival (DFS), overall survival (OS), and adverse events (AEs) were assessed between treatment arms.Results: Among 68 matched pairs of patients who underwent LR, only 1 patient developed small-for-size syndrome. …”
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    Frontiers of collaborative intelligence systems by Maoguo Gong, Yajing He, Hao Li, Yue Wu, Mingyang Zhang, Shanfeng Wang, Tianshi Luo

    Published 2024-01-01
    “…Thirdly, the macro-level collaboration is primarily in the context of intelligent collaborative systems, such as terrestrial-satellite collaboration, space-air-ground collaboration, space-air-ground-air collaboration, vehicle-road-cloud collaboration and end-edge-cloud collaboration. …”
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    A novel spatiotemporal prediction approach to fill air pollution data gaps using mobile sensors, machine learning and citizen science techniques by Arunik Baruah, Dimitrios Bousiotis, Seny Damayanti, Alessandro Bigi, Grazia Ghermandi, O. Ghaffarpasand, Roy M. Harrison, Francis D. Pope

    Published 2024-12-01
    “…Spatially resolved proxy variables, meteorological parameters, and PM properties were integrated, enabling a fine-grained analysis of PM2.5. …”
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    Exploring multi-scale spatial relationship between built environment and public bicycle ridership: A case study in Nanjing by Cheng Lyu, Xinhua Wu, Yang Liu, Zhiyuan Liu, Xun Yang

    Published 2020-11-01
    “…The modeling results demonstrate different influencing patterns between traditional downtown areas and newly built-up areas, especially for the density of population, road network, parking space, and various points of interest.…”
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