Corneal Stromal Opacities Accompanied by Hyperopia and Irregular Astigmatism: Two-Step Technology of the Clinical Rehabilitation by I. A. Mushkova, N. V. Maychuk, R. A. Makarov, G. M. Chernakova

“…Patents were divided into 2 groups according to results of CISS survey: 88% — without AS, 12% — with signs of AS. Retrospective analysis of pre-operative data of the patients with AS has shown that a combination of an absence of binocular vision with a pronounced decrease in fusion reserves, reserves of relative accommodation and volume of absolute accommodation is prognostically unfavorable factors in patients with myopia.Conclusion: All patients with moderate and high myopia have the refractive errors, there is no binocular vision in 12.3% patients. …”
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A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning by Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias Karl David Weber

“…We proposed a thorough feature selection analysis to find the best combination of RS and climate data to detect phenological stages. …”
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Assessment of employing different cloud cover data sources to model the Brazilian solar energy potentiality by Emerson D. Oliveira, Thomás Rocha Ferreira, Carlos Denyson da Silva Azevedo, Mario de Miranda Vilas Boas Ramos Leitão, Maria Luciene Melo

“…Root mean square error (RMSE) analysis highlighted seasonal variability in model performance, with the Coupled Model Intercomparison Project Phase 6 (CMIP6) and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) performing best during equinoxes, and ISCCP showing the lowest annual RMSE (16.9 Wm⁻²). …”
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Intravenous medication administration practices: insights into knowledge, attitude, and behavior of intensive care unit (ICU) nurses in Pakistan by Tawseef Ahmad, Sirima Sitaruno, Sutthiporn Pattharachayakul, Muhammad Kiddeer, Shujaat Ali Khan

“…Methodology A cross-sectional study was conducted using convenience snowball sampling, including 426 ICU nurses from various hospitals in Pakistan. Data were collected through a validated questionnaire assessing medication error knowledge, attitudes, and behaviours. …”
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E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data by Haijun Mao, Long Chen

“…This study concluded that the use of big data technology for cost command can solve a series of problems effectively, such as the lack of systematic analysis of cost, the lack of contractual partners, the serious waste of sales links, and the policy errors of logistics links, and continuously improve the enterprise management level and the decline of comprehensive cost. …”
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Outlier Detection Method of Dam Monitoring Data Based on Robust Estimation and Variable Separation by LIANG Huibin, ZHANG Han, ZHANG Linsong, CAO Yuxin, ZHOU Jingren

“…The original monitoring data of dams is the most important data to grasp the operation behavior of the dams,and the outliers in the data are the focus during the analysis.Outliers are divided into two categories.One category is caused by measurement errors and should be eliminated or supplemented to avoid affecting subsequent analysis.The other is caused by structural mutations and should be highly valued.At present,main outlier recognition methods in dam engineering are based on traditional mathematical statistics and do not consider the influence of structural anomalies,which results in low recognition accuracy.Therefore,based on an in-depth study of dam monitoring data and outlier characteristics,this paper first employs robust MM estimation to eliminate the normal influence of internal and external factors and then adopts the residual measured value to eliminate the stable abnormal influence by difference before and after.Finally,according to the minimum value method,outlier identification is conducted on the residual values.The application of the measured dam data proves that the proposed method can identify the measurement outliers more effectively and robustly,and avoid the interference of structural stability anomalies.…”
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Validation of a Novel Data-Driven Algorithm to Detect Atypical Prescriptions in Radiation Therapy by Connor Thropp, MS, Jaroslaw Hepel, MD, Timothy Leech, Eric E. Klein, PhD, Qiongge Li, PhD

“…The query included records containing data on the Rx and patient-specific features. Simulated anomalies were created to mimic potential errors and were used in the training and testing of the model. …”
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Data Analytics and Distribution Function Estimation via Mean Absolute Deviation: Nonparametric Approach by Elsayed A. H. Elamir

“…Moreover, the Richardson approach has been applied to real data analysis and has been used to estimate the hazardous concentration five percent. …”
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STOP: Studying Time-Series of Preeclamptic Emergencies by Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Elena Tolozano-Benites, Leonel Vasquez-Cevallos, Lorenzo Cevallos-Torres

“…This work can serve as a basis for future studies on the joint application of all DDPP analyses to univariate time series, providing a step-by-step guide on how to analyze such data and introducing a systematic procedure for their analysis for those who may lack statistical expertise.…”
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Smart strategy in statistics: choosing appropriate test tools for data and hypotheses in quantitative research by Nana Darna, Iwan Setiawan, M. Aziz Basari, Kasman Kasman

“…The selected test tools were analyzed using content analysis techniques to identify the match with the data characteristics. …”
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Dust impact on photovoltaic modules: Global data, predictive models, emphasis on chemical composition by Hussam Almukhtar, Tek Tjing Lie, Wisam Al-Shohani

“…Additionally, comparative analysis with existing literature shows superior accuracy, achieving Mean Squared Errors (MSEs) of 1.8 and 8.44, surpassing previous benchmarks. …”
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RELIABILITY OF THE DATA ON MORBIDITY AND MORTALITY FROM MUSCULOSKELETAL SYSTEM DISEASES IN RESIDENTS OF THE TULA REGION by David Sh Vaisman, V N Sorotskaya, Roland M Balabanova

“…The inequality in growth rates of general and primary morbidity were revealed, which is indicative of incorrect coding and underestimation of DMSS in medical organizations of the Tula region.A comprehensive phased statistical study was carried out to assess validity of the mortality data, including the following: verification of databases for errors using an automated system; control of postmortal diagnosis quality using the four-digit subcategory code in accordance with the WHO recommendations; analysis according to the initial and multiple causes of death. …”
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The Application of Earth Observation Data to Desert Locust Risk Management: A Literature Review by Gachie Eliud Baraka, Giudo D’Urso, Oscar Rosario Belfiore

“…This article seeks to elucidate the factors that affect desert locust distribution and review the application of earth observation (EO) data in explaining the pest’s infestations and impact. …”
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Data Synchronization Design of Driver Display Unit Based on MVB and Ethernet Redundant Communication by RAO Tiangui, WANG Yu, ZHANG Yi

“…This design method is effectively compatible with the MVB data exchange method, and ensures the consistency of MVB data processing and Ethernet data processing by using function overload, and effectively prevents data analysis errors; the pulse is processed in a unified way, and the multi type pulse transmission only needs simple configuration without coding, which improves the development efficiency; the perfect synchronization method effectively ensures the correctness of data synchronization. …”
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Ionospheric Electron Density and Temperature Profiles Using Ionosonde-like Data and Machine Learning by Jean de Dieu Nibigira, Richard Marchand

“…Additionally, maximum absolute relative errors for electron density and temperature inferences are found at higher altitudes for both NNB and RBF models.…”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…We provide a formal security proof of the proposed scheme under the small-integer solution (SIS) and learning with errors (LWE) within the random oracle model. Theoretical analysis confirms that the scheme achieves security guarantees while maintaining practical feasibility. …”
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Marine Gravity Field Modeling Using SWOT Altimetry Data in South China Sea by Zejie Tu, Tao Jiang, Fuxi Zhao

“…The marine gravity field inversion accuracy reached 4.97 mGal, comparable to the multi-source altimetry-derived model SIO_v32.1. Further analysis reveals that the primary contributions of SWOT DOVs are observed within the 3.5–20 km wavelength band, with cross-track systematic errors identified as the key factor influencing both DOV calculations and gravity anomaly inversion. …”
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THE EFFECT OF ZAKAT, INFAQ, SADAQAH (ZIS) POVERTY AND HUMAN CAPITAL INDEX (HCI) ON ISLAMIC HUMAN DEVELOPMENT INDEX (I-HDI) IN INDONESIA IN 2010-2023 IN THE PERSPECTIVE OF ISLAMIC E... by Anita Sari, Gustika Nurmalia, Ruslan Abdul Ghofur

“…This study investigates the impact of Zakat, Infaq, and Sadaqah (ZIS), poverty, and Human Capital Index (HCI) on the Islamic Human Development Index (I-HDI) in Indonesia for the period 2010-2023 using the Error Correction Model (ECM) approach. This study aims to analyze the short-term and long-term effects of ZIS distribution, poverty rate, and HCI on I-HDI. …”
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Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial model by Matthew D. Koslovsky

“…Another complicating factor of modeling microbiome data is that taxa counts are subject to measurement error introduced at various stages of the measurement protocol. …”
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HTSA-LSTM: Leveraging Driving Habits for Enhanced Long-Term Urban Traffic Trajectory Prediction by Yiying Wei, Xiangyu Zeng, Xirui Chen, Hui Zhang, Zhengan Yang, Zhicheng Li

“…The model was evaluated by using the NGSIM dataset and real driving data from Wuhan, China. In comparison to benchmark models, HTSA-LSTM achieved a 20.72% reduction in the root mean square error (RMSE) and a 24.98% reduction in the negative log likelihood (NLL) for 5 s predictions of long-term trajectories. …”
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