Detection of Phosphorus in Water by Laser-Induced Breakdown Spectroscopy Based on Liquid-Solid Transformation of Graphite Substrate Combined with PLS-SVR Fusion Quantitative Analys... by Huijie Zhang, Yao Chen, Zongjie Bi, Xiaohua Che, Zhaoshuo Tian

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A 5-Year retrospective analysis of adverse events in dentistry at the Dental Hospital, Faculty of Dentistry, Chulalongkorn University by Kiti Siriwatana, Sathirakorn Pongpanich

“…Further research is underway to develop such a system and promote reporting to ensure sufficient data quality for effective risk management. Methods A retrospective analysis of 1,618 incident reports from December 2018 to August 2023 was conducted. …”
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Descriptive analysis of medical negligence claims in septicemia patients: a review of Indian National Consumer Court judgments by Aakash A Sethi, Kalpita K. Shringarpure

“…Background, Aims, and Objectives: Patients admitted to intensive care units are at a higher risk of experiencing medical errors and have an increased likelihood of developing septicemia. …”
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A finger on the pulse of cardiovascular health: estimating blood pressure with smartphone photoplethysmography-based pulse waveform analysis by Ivan Shih-Chun Liu, Fangyuan Liu, Qi Zhong, Shiguang Ni

“…This study addresses these limitations through a series of strategies. Data quality was enhanced to improve the performance of traditional statistical models, while SHapley Additive exPlanations (SHAP) analysis ensured transparency in machine learning models. …”
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Modeling antibody persistence after MenACYW-TT vaccination and comparative analysis with other quadrivalent meningococcal vaccines by Laurent Coudeville, Isabelle Bertrand-Gerentes, Céline Zocchetti, Edith Langevin, Siham Bchir, Florence Coste, Philipp Oster

“…The statistical model is based on a Bayesian approach and it accounts for vaccine- and age group-specific antibody decline, missing data, assay errors, and antibody boosting from breakthrough infections. …”
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Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches by Rafat Zrieq, Sahbi Boubaker, Souad Kamel, Mohamed Alzain, Fahad D. Algahtani

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Analysis of the Combined Three-dimensional Wind Field Retrieved by Radar and Reanalysis Wind Field based on Optimum Interpolation Technique by Songyu HAN, Liji WANG, Lili KANG, Yongsheng LIU, Zhou TENG, Lingli ZHOU, Yefeng CHEN

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Monitoring of the Deformation of Deep Foundation Pit Using 3D Laser Scanning by Sheng Bao, Xuanlue Fang, Hangdong Bu, Xiaofei Yu, Zhengzhou Cai

“…The proposed approach leverages sparse yet high-precision traditional monitoring data to train the BPNN, effectively correcting systematic deviations in laser scanning measurements caused by external disturbances and instrument errors. …”
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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics by Mohamed Salem, Witesyavwirwa Vianney Kambale, Ali Deeb, Sergii Tkachov, Anjeza Karaj, Joachim Pichler, Manuel Ludwig Lexer, Kyandoghere Kyamakya

“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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Comparative Analysis of the Formation of Mathematical Concepts among Students through the Prism of APOS Theory: Urban vs. Rural by N.K, Tuktamyshov, T.Y. Gorskaya

“…Errors were classified as conceptual and procedural, allowing for the recognition of differences in students' competence levels according to the stages of the APOS theory. …”
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CERAMIC: Case-Control Association Testing in Samples with Related Individuals, Based on Retrospective Mixed Model Analysis with Adjustment for Covariates. by Sheng Zhong, Duo Jiang, Mary Sara McPeek

“…CERAMIC extends the recently proposed CARAT method to allow samples with related individuals and to incorporate partially missing data. In simulations, we show that CERAMIC outperforms existing LMM and generalized LMM approaches, maintaining high power and correct type 1 error across a wider range of scenarios. …”
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Travel Time Variability and Spatio-Temporal Analysis of Urban Streets Using Global Positioning System: A Review by Zainab Ahmed Alkaissi, Ruba Yousif Hussain

“…Travel time results are affected by the location of sensors and their sparseness, hence estimation errors increase as detector spacing increases. …”
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A Comparative Analysis of Different Algorithms for Estimating Evapotranspiration with Limited Observation Variables: A Case Study in Beijing, China by Di Sun, Hang Zhang, Yanbing Qi, Yanmin Ren, Zhengxian Zhang, Xuemin Li, Yuping Lv, Minghan Cheng

“…The findings can be summarized as follows: (1) Long-term remote sensing data can furnish a more comprehensive background field for the LST-VI space, achieving superior fitting accuracy for wet and dry edges, thereby enabling precise ET estimation with the following metrics: correlation coefficient (r) = 0.68, root mean square error (RMSE) = 0.76 mm/d, mean absolute error (MAE) = 0.49 mm/d, and mean bias error (MBE) = −0.14 mm. (2) ML generally produces more accurate ET estimates, with the Random Forest Regressor (RFR) demonstrating the highest accuracy: r = 0.79, RMSE = 0.61 mm/d, MAE = 0.42 mm/d, and MBE = −0.02 mm. (3) Both ET estimates derived from the LST-VI space and ML exhibit spatial distribution characteristics comparable to those of MOD16 ET data, further attesting to the efficacy of these two algorithms. …”
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Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load forecasting. …”
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Analysis of the efficiency and effectiveness of technology transformation through the introduction of ADC in the Emergency Department: a Taiwanese case study by Valerio Brescia, Yafang Tsai, Sue-Ting Chung, Cheng-Chieh Lin, Federico Chmet, Ginevra Degregori, Ying-Chun Lai

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Follow your “gut”—calling for colonoscopy in patients with upper gastrointestinal adenomas: a systematic review and meta-analysis by Hanyuan Xu, Kai Song, Yuelun Zhang, Chengzhen Lyu, Kun He, Wangyang Chen, Wei Chen, Dong Wu

“…Design: Systematic review and meta-analysis. Data sources and methods: A search of PubMed and Embase was performed up to November 30, 2024. …”
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Research on Multi-Step Prediction of Pipeline Corrosion Rate Based on Adaptive MTGNN Spatio-Temporal Correlation Analysis by Mingyang Sun, Shiwei Qin

“…To reduce the accumulation of errors in multi-step prediction, a “chunked progressive” training strategy is adopted, incrementally expanding prediction horizons. …”
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Real-world safety of HPV vaccines over 18 y: A comprehensive analysis of U.S. VAERS reports by Yonglong Su, Yirong Huang, Jinbao Wei, Xinjin Wang, Yanyan Zhou, Xiaohong Wu, Honghong Fu

“…Time-to-onset was assessed with Kaplan–Meier analysis. This analysis of 76,575 HPV vaccine adverse event reports shows improving safety profiles across vaccine generations. …”
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Analysis of methods for modeling operating modes of compressor equipment that ensures the operation of field low-temperature separation units by M. A. Vorontsov, V. Yu. Glazunov, A. S. Grachev, M. S. Mashtalir, S. A. Pospelov, A. V. Chernyshev

“…The results of a comparison of three methods of modeling the hydrodynamic characteristics (method of reduced characteristics, refined method of reduced characteristics, method of two-parameter approximation) of high-pressure pulp and paper mills are presented using the example of a pulp and paper mill with a pressure ratio of up to 2.0, intended for equipping a gas pumping unit as part of field booster compressor stations. An analysis and comparison of the obtained modeling results with actual data was carried out. …”
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An analysis of systemic incident investigation methodologies applied in serious injury or fatality events: A rapid systematic review by Joanne E. Porter, Elissa Dabkowski, Warren Smith, Alex Fernando, Liz Seaward

“…The data continued to support the evidence of accident causation analysis models focus on errors, malfunctions, and deficiencies rather than a whole of systems approach and remained complex and difficult to interpret. …”
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