Issues of adaptation of European automobile emission standards in Ukraine by V.M. Ivasenko, I.V. Primisky

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Real-World Safety Profile of Proton Pump Inhibitors in Infants as Reported in the FDA Adverse Event Reporting System (FAERS): Tiny Tummies, Key Decisions by Hülya Tezel Yalçın, Nadir Yalçın, Karel Allegaert

“…Additionally, medication errors were reported in 50 (10.8%) patients. <b>Conclusions</b>: ICSR databases are valuable pharmacovigilance tools. …”
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Impact of Data Assimilation Frequency and Observation Location in Thermal Effluent Modeling for Coastal Waters by N. Alsulaiman, M. vanReeuwijk, M. D. Piggott

“…The optimal station locations were identified using the ensemble‐based targeted observation method, based on their ability to maximize the reduction of the analysis error variance. The optimal locations were attributed to having a balance between exhibiting strong covariances with the other state elements while experiencing local variance exceeding that of the prescribed observation error variance.…”
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Epidemiological insights into complication and outcomes in corneal refractive surgery population: findings from KNHANES 2010–2012 by Joon Yul Choi, Sun Young Ryu, Tae Keun Yoo

“…Methods This cross-sectional study included 595 participants with a self-reported history of corneal refractive surgery. Data on diagnosed dry eye disease, dry eye symptoms, and previous ocular surgeries were collected through structured questionnaires, while ophthalmologic examinations provided information on refractive errors, intraocular pressure, and other ocular conditions. …”
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Using traffic data to identify land-use characteristics based on ensemble learning approaches by Jiahui Zhao, Zhibin Li, Pan Liu

“…Apart from the accuracy, the correlation analysis of the error term also showed that the result was consistent with people’s common sense of land-use characteristics, demonstrating the interpretability of the proposed framework. …”
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A theory and data-driven method for rapid bottom hole pressure calculation in UGS by Yang Li, Haiwei Guo, Xianfeng Gong, Naixin Lu, Kairui Zhang

“…The novel method significantly outperforms traditional techniques across five precision metrics, including Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and an enhanced R-squared (R2) value. …”
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Experimental Investigation of Manufacturing Variables Effect on Electrical Discharge Machining of Titanium Alloy by Enzi Abass, Abdulameer Ahmed Ghazi, Hassoon Omar Hashim, Hamieh Abdallah

“…The results proved that machining variables impacted the responses, which were proven through results data analysis and the interaction plots. Also, the maximum error between experimental and predicted values using the mathematical model was 0.022 (mg/min) for the MRR, 1.719 (mg/min) for the TWR, and 0.334 (μm) for the Ra.…”
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An effective imputation approach for handling missing data using intuitionistic fuzzy clustering algorithms by Kavita Sethia, Jaspreeti Singh, Anjana Gosain

“…The approach leverages the soft Davies–Bouldin index to determine the optimal number of clusters and then iteratively refines imputations by minimizing average variation. Experimental analysis and statistical analysis (Friedman Test) on four UCI datasets, using two performance metrics, Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), demonstrate that the proposed algorithms consistently outperform eight existing fuzzy clustering-based MDI algorithms.…”
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The ecological forecast limit revisited: Potential, absolute and relative system predictability by Marieke Wesselkamp, Jakob Albrecht, Ewan Pinnington, William J. Castillo, Florian Pappenberger, Carsten F. Dormann

“…We found that forecast limits can be computed with three requirements: Verification data, a scoring function and a reference for predictive error tolerance. …”
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BOARD CHARACTERISTICS AND CORPORATE SOCIAL RESPONSIBILITY OF LISTED OIL AND GAS COMPANIES IN NIGERIA by Aliyu Abubakar, Yunusa Nasiru, Umar Abubakar

“…The population consists of twelve (12) listed oil and gas firms from which five (5) firms have consistently published their annual reports within the period covered and extracted data from their respective annual reports. Panel corrected standard error was used for analysis. …”
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Well log data generation and imputation using sequence based generative adversarial networks by Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji, Sadam Al-Azani, SanLinn I. Kaka

“…These results set a new benchmark for data integrity and utility in geosciences, particularly in well log data analysis.…”
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Childhood amblyopia in a tertiary eye care center in western India by Jai A. Kelkar, Harsh H. Jain, Aditya S. Kelkar, Shreekant Kelkar

“…After a median follow-up of 10.00 (6–85)mo, the mean BCVA significantly improved from 0.85±0.41 to 0.55±0.42 logMAR. Subgroup analysis revealed BCVA gain for all etiologies, including refractive errors (P<0.001), strabismus (P<0.001), cataract (P<0.001), and ptosis (P<0.001). …”
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Leveraging machine learning and open accessed remote sensing data for precise rainfall forecasting by Bambang Kun Cahyono, Muhammad Hidayatul Ummah, Ruli Andaru, Neil Andika, Adjie Pamungkas, Hepi Hapsari Handayani, Paramita Atmodiwirjo, Rory Nathan

“…Further, data processing was performed by means of the Google Earth Engine (GEE) platform. …”
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InsectChange: Comment by Gaume, Laurence, Desquilbet, Marion

“…The InsectChange database (van Klink et al. 2021) underlying the meta-analysis by van Klink et al. (2020a) compiles worldwide time series of the abundance and biomass of invertebrates reported as insects and arachnids, as well as ecological data likely to have influenced the observed trends. …”
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Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography by Jia Song, Haiwei Zhang, Yi Lyu, Hao Wu, Fei Zhang, Xu Ma, Bin Yong

“…This study utilizes ground-based rain gauge data from Mainland China (2015–2018) to assess improvements of DPR-V07 over its predecessor’s (DPR-V06) effects. …”
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Distributed photovoltaic cluster output monitoring method based on time series data acquisition by Hua Ye, Xuegang Lu, Wei Zhang, Fei Cheng, Ying Zhao

“…According to the experimental analysis, the output monitoring method of distributed photovoltaic clusters based on time series data collection proposed in this paper has certain effects and can provide theoretical support for the further development of distributed photovoltaic clusters.…”
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Outlier Detection and Correction in Smart Grid Energy Demand Data Using Sparse Autoencoders by Levi da Costa Pimentel, Ricardo Wagner Correia Guerra Filho, Juan Moises Mauricio Villanueva, Yuri Percy Molina Rodriguez

“…The implementation of smart grids introduces complexities where data quality issues, particularly outliers, pose significant challenges to accurate data analysis. …”
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The effect of HLA genotype on disease onset and severity in CTLA-4 insufficiency by Sara Posadas-Cantera, Sara Posadas-Cantera, Noriko Mitsuiki, Florian Emmerich, Virginia Patiño, Hanns-Martin Lorenz, Olaf Neth, Ingunn Dybedal, Kjetil Taskén, Alejandro A. Schäffer, Bodo Grimbacher, Bodo Grimbacher, Bodo Grimbacher, Bodo Grimbacher, Laura Gámez-Díaz, Laura Gámez-Díaz

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State of Charge Estimation for Li-Ion Batteries: An Edge-Based Data-Driven Approach by Sesidhar Dvsr, Chandrashekhar Badachi, Chandrashekar Nagawaram, Panduranga Chary Kondoju, C. Dhanamjayulu, Innocent Kamwa

“…This study includes hardware evaluation as well as Monte Carlo simulation analysis in circuit component design. The experimental results provide a Mean Absolute Error (MAE) of 0.0630, a Mean Squared Error (MSE) of 0.0107, and a Root Mean Squared Error (RMSE) of 0.1033, confirming the efficacy of the proposed methodology. …”
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Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolit... by Sungwook Jung

“…However, although the number of confirmed cases is affected by social life, it is difficult to find studies that attempt to predict the number of confirmed cases using various lifestyle data. This paper attempted an exploratory data analysis to see if the number of confirmed cases could be predicted more accurately by including various lifestyle data. …”
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