Exploring the drivers of irregular spending in the EU cohesion policy by Francesco Foglia, Francesco Molica, Anabela M. Santos

“…Using time series data and a fractional regression analysis model, the study provides evidence that the specific governance and structure of cohesion policy programmes can explain the intensity of irregular spending. …”
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Perceptions of Patient Safety Culture among Operating Room Staff in Iran: A Questionnaire-Based Study by Roohangiz Norouzinia, Leyla Sadati, Hosein Ghasemi

“…Data analysis was performed using SPSS version 22.Results: The findings revealed a moderate level of patient safety culture, with 85.4% of respondents reporting no errors in the past year. …”
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Detection of soluble solid content in table grapes during storage based on visible-near-infrared spectroscopy by Yuan Su, Ke He, Wenzheng Liu, Jin Li, Keying Hou, Shengyun Lv, Xiaowei He

“…A predictive model was developed to construct a correlation between the spectral data and the measured SSC, while a comparative analysis was undertaken to assess the effects of various spectral preprocessing techniques. …”
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Planning and Evaluation of Bioequivalence Studies of Enalapril Products by D. P. Romodanovsk, A. L. Khokhlov, A. E. Miroshnikov

“…Over the past years we have accumulated a sufficient pool of data in the Russian Federation which make it possible to identify many differences, difficulties and errors associated with bioequivalence studies (especially those of highly variable drugs). …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…The review also explores cost-effectiveness data, resource optimization, and challenges such as algorithmic bias and data privacy. …”
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Development of an automated quality control and assay performance management system for biochemical genetics laboratory by P. Tanpaiboon, D. Salazar, M. Pan, L. Xu, R. Sharma

“…The program's functions include automated collection and assay data analysis, Levey-Jennings charts with integrated data from multiple instruments, graphical data visualization, instrument data centralization, assay monitoring, and a QC audit trail. …”
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Modern Slavery Disclosure in the G20: Firm and National-Level Insights by Vidya Intani Athfalina

“…These nations have contributed most of the world's GDP and share the objective of adhering to modern slavery standards. Employing a panel data regression model with fixed effects and robust standard errors, grounded in neo-institutional and stakeholder theories, the analysis incorporates variables such as corporate governance, firm size, profitability, state governance, and legal system. …”
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Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

“…Forest health monitoring at scale requires high-spatial-resolution remote sensing images coupled with deep learning image analysis methods. However, high-quality large-scale datasets are costly to acquire. …”
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Modification of Equation for Calculating the Bond Stress Between Steel Bars and Concrete by Xiaosan Yin, Jimin Li, Shidong Tang, Yuzhou Sun, Md. Mashiur Rahman

“…To address this issue, this study proposed a modified bond stress calculation model, whose reliability was systematically validated through pull-out tests and comparative analysis with a CEB-FIP model. The experimental program employed a universal testing machine for load application, with a static strain measurement system continuously monitoring stress–strain data throughout the loading process. …”
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Challenges and best practices for moving forward in interprofessional collaboration in critical care units: nurses’ perspectives by Amina Hemida Salem Ghattas, Hala Ahmed Abdou

“…Quantitative data were analyzed using t-tests, one-way ANOVA, and Pearson correlations, with 𝑝 < 0.05 considered statistically significant. …”
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Unraveling the Scale Dependency of SIF-Based Phenology: Amplified Trends and Climate Responses by Xiufeng Chen, Yanbin Yuan, Tao Xiong, Sicong He, Heng Dong

“…We found that SOS/EOS were mainly regulated by soil and air temperature, whereas the scale effect on this analysis’ results was not significant. This study has implications for optimizing the use of data, understanding ecosystem changes, predicting vegetation dynamics under global change, and developing adaptive management strategies.…”
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Comparison of CatBoost and LightGBM Models for Air Humidity Prediction by Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza

“…CatBoost outperformed LightGBM, which received an R² score of 0.7981, with a better R² score (0.8191) and smaller prediction errors (MAE = 0.0570, RMSE = 0.0744). While feature importance analysis indicated that temperature and seasonal features were important predictors, residual plots validated the models low bias and good generalization. …”
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OPERATIONAL RISK MANAGEMENT PRACTICES AND PERFORMANCE: EVIDENCE FROM NON-INTEREST LISTED DEPOSIT MONEY BANK IN NIGERIA by Mujeeb Adegoke

“…This study adopted Expo facto research design and data used for this study is between 2018 -2023 using Jaiz Bank plc.Newey- West Standard errors was used as a method of data analysis. …”
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Forecasting the main dimensions of single-stage cylindrical reducers at early design stages by Petrakova E.A., Sumatokhin V.A.

“…The software package allows to carry out a number of optimization and research tasks in a short time, excluding calculation errors and data transfer to the 3D model when rebuilding its geometry for a variety of sizes of gearboxes, as well as to predict and visualize the size of the product as a whole and all its parts individually almost immediately after receiving the technical requirement. …”
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Cost and Schedule Performance in Higher Education Construction Projects in Saudi Arabia by Khaled Medath Aldossari

“…The findings from analyzing the project data were then used to formulate the interview questions designed to understand key factors contributing to cost and schedule growth and to explore potential solutions. …”
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Using Abductive Machine Learning for Online Vibration Monitoring of Turbo Molecular Pumps by R.E. Abdel-Aal, M. Raashid

“…Radial vibration signals lead to simpler models and smaller errors in the computed value of the status output. …”
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Does ESG Investment Influence Firm Risk During the COVID-19 Pandemic? Evidence from European Markets by Seyfullah Selimefendigil

“…To explore the nexus between ESG and risk factors, panel data analysis with both time and unit effects was used and considered with cluster robust standard errors. …”
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Kesalahan Penulisan Kata-Kata Momentum dalam Bahasa Indonesia: Studi Berbasis Korpus by Icuk Prayogi, Ikmi Nur Oktavianti

“…The methodology involves querying the largest Indonesian digital corpus with specific queries based on commonly misspelled temporal terms in daily usage. This corpus-based analysis is intended to ensure empirical and measurable data. …”
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Prevalence of ophthalmic abnormalities and refractive changes in Taiwanese children with Down syndrome. by Chia-Ping Chen, Tzu-Hsun Tsai, Yao-Lin Liu, Ni-Chung Lee, Che-Ning Yang, Chao-Wen Lin

“…<h4>Conclusions</h4>This study provides unprecedented data on ophthalmic disorders and refractive changes in Taiwanese children with Down syndrome. …”
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Automatic Correction System for Learning Activities in Remote-Access Laboratories in the Mechatronics Area by Guido S. Machado, Thiago R. M. Salgado, Florindo A. C. Ayres, Iury V. Bessa, Renan L. P. Medeiros, Vicente F. Lucena

“…The digital twin captures data from the teacher’s and student’s experiments, allowing accurate comparisons to identify successes and errors. …”
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