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    Adequacy Evaluation of Power System Ramping Capability Based on Net Load Forecast Error Statistics by Zhongfei CHEN, Yue ZHAO, Qiuna CAI, Qiaoyu ZHANG, Zelin WANG, Xiaojuan DAI, Yuguo CHEN

    Published 2024-05-01
    “…Finally, an example analysis is carried out based on the data of forty historical operating days and four typical days in Guangdong to validate the effectiveness of the proposed adequacy evaluation method. This research indicates that the surplus ramping capability demand-supply ratio can effectively identify the ramping characteristics in different typical days and special periods, reflecting the adequacy of ramping capability in the day and minute scale; the indicators such as coverage, excess, and estimation quantity can be used to evaluate the applicability of error estimation models in different regions and scenarios, serving as a reference for model selection.…”
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  7. 567

    Disclosure of medical errors to patients by medical professionals: a protocol for a qualitative systematic review by Guiru Chen, Rongrong Huang, Henyu Xiong

    Published 2024-10-01
    “…Introduction Although the disclosure of medical errors is an integral component of medical ethics, it remains inconsistent in practice worldwide. …”
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    On the Exact Asymptotic Error of the Kernel Estimator of the Conditional Hazard Function for Quasi-Associated Functional Variables by Abdelkader Rassoul, Abderrahmane Belguerna, Hamza Daoudi, Zouaoui Chikr Elmezouar, Fatimah Alshahrani

    Published 2025-07-01
    “…The goal of this research is to analyze the mean squared error (MSE) of the kernel estimator for the conditional hazard rate, assuming that the sequence of real random vector variables <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow><mo>(</mo><msub><mi>U</mi><mi>n</mi></msub><mo>)</mo></mrow><mrow><mi>n</mi><mo>∈</mo><mi mathvariant="double-struck">N</mi></mrow></msub></semantics></math></inline-formula> satisfies the quasi-association condition. …”
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    A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools by Sen Mu, Chunping Yu, Kunlong Lin, Caijiang Lu, Xi Wang, Tao Wang, Guoqiang Fu

    Published 2025-02-01
    “…In this paper, an overview of the thermal error modeling methods based on deep learning that have been researched and applied in recent years is presented. …”
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    Performance of Google Translate, Microsoft Translator, and DeepL Translator: Error Analysis of Translation Result by Tira Nur Fitria

    Published 2023-09-01
    “…This research simulates the use of Google Translate and Microsoft Translator in translating Indonesian into English abstract and analyzes errors of translation results in the aspect of grammar and spelling using Grammarly Premium. …”
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    Extended Error Expansion of Classical Midpoint Rectangle Rule for Cauchy Principal Value Integrals on an Interval by Chunxiao Yu, Lingling Wei

    Published 2021-01-01
    “…By using a piecewise constant interpolant to approximate the density function, an extended error expansion and its corresponding superconvergence results are obtained. …”
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    Prediction Error and Forecasting Interval Analysis of Decision Trees with an Application in Renewable Energy Supply Forecasting by Xin Zhao, Xiaokai Nie

    Published 2020-01-01
    “…Data mining methods like decision trees are quite effective in such time series forecasting, but theory behind them is rarely discussed in research. In this paper, some theories are explored about decision trees including the behavior of bias, variance, and squared prediction error using trees and the prediction interval analysis. …”
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    Efficient 5-Point Block Method for Oscillatory ODEs with Phase Lag and Amplification Error Control by Rubayyi T. Alqahtani, Anurag Kaur, Theodore E. Simos

    Published 2025-05-01
    “…This research presents innovative modified explicit block methods with fifth-order algebraic accuracy to address initial value problems (IVPs). …”
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