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    Exploring multidimensional determinants of medication error reporting in China: a qualitative study using the theoretical domains framework by Hui Guo, Qian Guo, Xiuping Wang, Yonghong Liu, Ze Wang

    Published 2025-06-01
    “…Interviews were guided by the TDF to explore barriers to medication error reporting. Data were analyzed through framework analysis using NVivo 14.0 until thematic saturation was reached.ResultsAnalysis of semi-structured interviews explored 14 Theoretical Domains Framework (TDF) domains influencing medication error reporting among Chinese healthcare professionals, with 21 barriers and 15 facilitators delineated. …”
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    Reducing Regional Disparity in Java: A Spatial Econometrics Approach by Duwi Yunitasari, Ahmad Fauzan, Fajar Wahyu Prianto

    Published 2023-06-01
    “…The method used in this study was spatial econometric analysis. The spatial model used is Moran’s I, Lagrange Multiplier Test, and Spatial Error Model (SEM) using Geoda 1.20 software. …”
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    Neither Corpus Nor Edition: Building a Pipeline to Make Data Analysis Possible on Medieval Arabic Commentary Traditions by Cornelis van Lit, Dirk Roorda

    Published 2024-06-01
    “…We take these printed editions, scan them, pre-process the images, give it to an OCR engine, clean the results, and store it in a data structure that mimics the explicit intertextual relation the texts have, and continue to perform data analysis on it. …”
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    Unlocking Retail Insights: Predictive Modeling and Customer Segmentation Through Data Analytics by Juan Tang

    Published 2025-03-01
    “…Exploratory data analysis (EDA) findings indicated dramatic changes in sales and revenue, activities, and customer interactions, and products. …”
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    Research on Trend Analysis and Early Warning Technology of Smart Substation Telemetry Data Based on ARIMA-BP Combined Model by ZHOU Ke, WANG Xiaoming, LI Xiaobo, SONG Yi

    Published 2023-02-01
    “… In order to perform fault early warning on the secondary protection devices of smart substations based on monitoring data, a trend analysis and early warning method of smart substation telemetry data based on the ARIMA-BP combined model is proposed.Based on the analysis of the relay protection failure of the intelligent substation, the remote measurement data source for the early warning of the device status trend is selected, and the ARIMA-BP combined forecasting model is established based on the analysis of the characteristics of the data source.Based on the ARIMA-BP combined forecasting model and the historical telemetry data of the equipment, the equipment operation trend prediction is carried out.Taking the remote measurement data of the line protection device in a 220kV substation as an example, the prediction error rate of the ARIMA-BP combined model is 5% and 9% lower than that of the ARIMA model and the BP model alone. …”
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    Statistical Analysis of Inverse Weibull based on Step-Stress Partially Accelerated Life Tests with Unified Hybrid Censoring Data by Amal Soliman Hassan, Abd ELwahab Hagag, Nader Metwally, Omar Hussein Sery

    Published 2025-04-01
    “…Additionally, given different sample sizes, reported failures, and censoring techniques, the percentile Bootstrap confidence intervals give more accurate outcomes than Bootstrap-t in most cases. A real data set is used to illustrate the results derived.…”
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