Enhancing Healthcare Efficiency at Almasara Hospital: Distributed Data Analysis and Patient Risk Management by L.O.F. Ben Dalla, T. D. Medeni, I. T. Medeni, M. Ulubay

“…The study first reviews existing patient care and feedback practices and then details the implementation of the daily feedback system, which involves advanced data analysis for managing patient feedback and medical data continuously. …”
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Interval-based principal component analysis for reliable fault detection under data uncertainty by Raoudha Bel Hadj Ali, Anissa Ben Aicha, Belkhiria Kamel, Gilles Mourot, Majdi Mansouri

“…Principal Component Analysis (PCA) has gained widespread use in industrial process monitoring due to its ability to model high-dimensional data and detect abnormal events. …”
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Numerical Studies on Forecast Error Correction of GRAPES Model with Variational Approach by Dengxin He, Zhimin Zhou, Zhaoping Kang, Lin Liu

“…According to the hindcast daily data of geopotential height on 500 hPa generated by GRAPES model on January and July from 2002 to 2010, preliminary analysis is carried out on characteristics of forecast error in East Asia. …”
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Analysis of tariff agreements of the constituent entities of the Russian Federation: form and completeness of data presentation by D. V. Fedyaev, F. S. Nikitin, T. N. Artamonova, S. A. Kovaleva, V. V. Omelyanovskiy

“…The lack of unification in data presentation in the regions increases the risk of errors in comparative analysis, which may ultimately affect the correctness of its results presented to the authorities for decision-making in the health care sector. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…While physics-driven GT models integrate thermodynamics, fluid dynamics, and combustion principles, they often rely on approximate mathematical representations to accommodate scaling that may not capture the actual complex dynamics for GTs and inertial effects associated to GTs with different ratings. In this study, a data-driven model is proposed using machine learning (ML) techniques to conduct GT scalability analysis and performance evaluation with high accuracy. …”
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Impact of measurement error on predicting population-based inpatient glucose control by George E Saulnier, Janna C Castro, Curtiss B Cook

“…Aim: Instrument measurement error (ME) may affect ability of damped trend analysis to forecast inpatient glycemic control. …”
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Аccommodative Eye System as an Indicator of the Effectiveness of the Correction of Refractive Errors by E. L. Pokrovskaya

“…The article presents an analysis of literature data assessing the state of the eye accommodative system based on objective accomodography techniques. …”
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Adaptive CoCoLasso for High-Dimensional Measurement Error Models by Qin Yu

“…Theoretical guarantees are provided by establishing error bounds for the estimators. The results from the synthetic data analysis indicate that the Adaptive CoCoLasso performs strongly in prediction accuracy and mean squared error, particularly in scenarios involving both additive and multiplicative noise in measurements. …”
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Correlation Between Involute Profile Waviness and Gear Transmission Performance by Zhou Yuansheng, Yue Huijun, Wu Xiangkai, Shi Zhaoyao

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Medication errors in community pharmacies: a systematic review of the international literature. by Maguy Saffouh El Hajj, Rayah Asiri, Andy Husband, Adam Todd

“…<h4>Conclusions</h4>This review underscores the need to assess medication safety in regions with limited pharmacy access and advocate for a standardised global reporting framework to streamline data analysis. Additionally, it implies that investigating the types and severity of medication errors is imperative. …”
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Paediatric Emergency Nurses’ Perception of Medication Errors: A Qualitative Study by Blanca Collado-González, Ignacio Fernández-López, Valentina Urtubia-Herrera, Ana María Palmar-Santos, Eva García-Perea, María Victoria Navarta-Sánchez

“…A questions guide was followed during the interviews. The analysis of the data was carried out according to the scheme proposed by Taylor and Bogdan. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

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ANALYSIS OF ROBUST CHAIN LADDER METHOD IN ESTIMATING AUSTRALIAN MOTOR INSURANCE RESERVES WITH OUTLYING DATASET by Jonathan Prasetyo Johan, Felivia Kusnadi, Benny Yong

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TRANSLATION ERRORS IN UNDERGRADUATE SCIENTIFIC WRITINGS: A CORPUS-BASED STUDY by Roswani Siregar, Heni Subagiharti, Diah Syafitri Handayani, Sutarno Sutarno, Farida Hariani, Liesna Andriany

“…Only the main bodies of the abstracts were used as the corpus for analysis. The findings reveal that the majority of errors fall under the syntactic category, including incorrect use of tenses, prepositions, and punctuation. …”
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ANALISIS KESALAHAN SISWA DALAM MENYELESAIKAN SOAL CERITA BERDASARKAN KRITERIA WATSON DITINJAU DARI SEGI GENDER by Sindy Putri Kumala Sari, Endah Wulantina

“…Meanwhile, male students made 6 types of errors, namely incorrect data (18.91%), inappropriate procedures (13.51%), lost conclusions (18.91%), response level conflicts (8.10%), problems skills hierarchy (10.81%), and other than the seven categories above (29.72%).…”
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Virseqimprover: an integrated pipeline for viral contig error correction, extension, and annotation by Haoqiu Song, Saima Sultana Tithi, Connor Brown, Frank O. Aylward, Roderick Jensen, Liqing Zhang

“…Despite the recent surge of viral metagenomic studies, it remains a significant challenge to recover complete virus genomes from metagenomic data. The majority of viral contigs generated from de novo assembly programs are highly fragmented, presenting significant challenges to downstream analysis and inference. …”
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Large errors in soil carbon measurements attributed to inconsistent sample processing by R. J. Even, M. B. Machmuller, M. B. Machmuller, J. M. Lavallee, J. M. Lavallee, T. J. Zelikova, T. J. Zelikova, M. F. Cotrufo, M. F. Cotrufo

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A power analysis framework to aid the design of robust semi-field vector control experiments by Andrea M. Kipingu, Dickson W. Lwetoijera, Kija R. Ng’habi, Samson S. Kiware, Mafalda Viana, Paul C. D. Johnson

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A data pipeline for e-large-scale assessments: Better automation, quality assurance, and efficiency by Charles Anifowose, Ryan Schwarz, Hatice Cigdem Bulut

“…This modernized pipeline has proven to scale with large databases, decrease human error by reducing manual processes, efficiently make complex workloads repeatable, ensure high quality of the outputs, and reduce overall costs of psychometric analysis of large-scale assessment data. …”
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INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA by Y. Gagarin, S. Gagarina

“…To take into account the random nature of the initial information when estimating the parameters of the models, it is proposed to use methods of confluent analysis. A method has been developed that allows one to obtain point and interval estimates of model parameters, as well as interval estimates of functional dependencies with stochastic initial data. …”
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