A Proxy Model for Traffic Related Air Pollution Indicators Based on Traffic Count by Nikolina Račić, Valentino Petrić, Francesco Mureddu, Harri Portin, Jarkko V. Niemi, Tareq Hussein, Mario Lovrić

“…These findings support the use of traffic-based proxy models as practical tools for real-time air pollution assessment and for informing targeted urban air quality interventions.…”
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A Study to Assess the Perceptions, Attitudes, and Practices of Edentulous Patients Regarding the Maintenance of Complete Denture Prostheses by Misbah Khalid, Omaima Arshad, Raza Ullah Khan, Aamir Ghafoor, Romeysah Adnan, Hira Riaz, Muhammad Amer Khan

“…The sample size of 200 edentulous patients was calculated to achieve a 90% confidence interval with a 5% margin of error. The data collection procedure followed a structured process to ensure that relevant and accurate information was gathered from the study participants. …”
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Automatic Aortic Valve Extraction Using Deep Learning with Contrast-Enhanced Cardiac CT Images by Soichiro Inomata, Takaaki Yoshimura, Minghui Tang, Shota Ichikawa, Hiroyuki Sugimori

“…The results highlight the promise of deep learning in improving the accuracy and efficiency of preoperative planning for cardiovascular interventions.…”
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Twisting collars on male elephants in shrub terrain: animal welfare considerations for researchers, managers and manufacturers by Brooke Friswold, Brett Mitchell, George Gale, Antoinette Van de Water

“…To investigate this rare incidence of elevated collar twisting, our study assessed the following: elephant behaviour to guide decision-making around interventions and well-being; when, where and how these incidents occurred to investigate the mechanism of twisting and the likelihood of human error; collar design and refurbishment to develop recommendations to minimize the likelihood of twisting; and data obtained from organizations using elephant collars for comparison. …”
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MODELING HOUSE SELLING PRICES IN JAKARTA AND SOUTH TANGERANG USING MACHINE LEARNING PREDICTION ANALYSIS by Sugha Faiz Al Maula, Nicoletta Almira Dyah Setiawan, Elly Pusporani, Sa'idah Zahrotul Jannah

“…The analysis focused on key predictors like land area, building area, bedrooms, and carports, with R² and Mean Squared Error (MSE) metrics evaluating model performance. …”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…The fitting algorithm yielded a mean absolute error (MAE) of 0.0069, demonstrating a close alignment between simulated and observed data. …”
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Data-driven assessment of climate change and vegetative cover dynamics in traditional oases by Elisa Baioni, Giulia Fiantanese, Giovanni Michele Porta

“…A significant decline in vegetative surface cover is predicted by 2050 from the analysis of yearly data, highlighting the critical need for water management interventions to safeguard oasis ecosystem and prevent desertification.…”
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Thermal runaway and flame propagation in battery packs: numerical simulation and deep learning prediction by Zilong Wang, Hosein Sadeghi, Xinyan Huang, Francesco Restuccia

“…Quantitatively, the AI-based methodology achieves a relative error below 10% for thermal runaway time predictions in database-contained scenarios and below 30% for extrapolated cases. …”
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Unravelling the Link Between Financialisation and Economic Growth: Evidence from Croatia by Agim Mamuti, Fatbardha Kadiu, Idaver Sherifi, Inna Romānova, Simon Grima

“…Using time series econometric models, including the Augmented Dickey–Fuller test for stationarity, Johansen’s cointegration test for long-term relationships, and the Granger causality test within the Vector Error Correction Model (VECM) framework, the research reveals a sustained long-term equilibrium relationship between financialisation and economic growth in Croatia. …”
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Hybrid forecasting of demand flexibility: A top-down approach for thermostatically controlled loads by Luca Massidda, Marino Marrocu

“…The model achieves a mean absolute percentage error (MAPE) lower than 17.0%, comparable to the accuracy without flexibility. …”
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Modelling future trajectories of obesity and body mass index in England. by Linda J Cobiac, Peter Scarborough

“…<h4>Results</h4>Both linear and non-linear models showed a close fit to observed data (mean absolute error <2%). In the best-case scenario, the proportion of the population at increased risk (BMI≥25kg/m2) is predicted to fall from 66% in 2017 to 53% (95% confidence interval: 41% to 64%) in 2035. …”
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SEIRS model for TB transmission dynamics incorporating the environment and optimal control by Francis Oketch Ochieng

“…The fitting algorithm yielded a mean absolute error (MAE) of 0.01% when comparing the actual data points with the results of the simulated model. …”
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Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information by Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe

“…The combination of introducing the volume loss and joint segmentation of DEM of WMH and stroke lesions outperformed other model configurations with mean volumetric absolute error of 0.0092 ml (down from 1.7739 ml) and 0.47% improvement on average Dice similarity coefficient in shrinking, growing and stable WMH.…”
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Optimizing public health management with predictive analytics: leveraging the power of random forest by Hongman Wang, Yifan Song, Yifan Song, Hua Bi

“…The trees grow to full depth and aggregate their predictions to enhance the accuracy. An out-of-bag (OOB) error estimation was applied to refine the model and provide unbiased performance assessments, ensuring robust generalization to unseen data. …”
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Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Key metrics included accuracy, Mean Absolute Error (MAE) tolerance, and training loss. An attention heatmap was generated to visualize feature importance. …”
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Medical practitioner compassion: Development and validation of a compassion competency questionnaire by Michelle Jäckel-Visser, Carl C. Theron, Robert J. Mash

“…Without such a measure, competence on this construct cannot be assessed, nor can the effectiveness of interventions designed to enhance compassion be determined. …”
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The effects of balance training on physical fitness and skill-related performance in basketball players: a systematic review by Zhaoran Wang, Nanting Chen, Shudian Cao, Lei Gao, Soh Kim Geok, Jia Liu

“…Conclusion BT proves to be a valuable intervention for improving physical fitness and skill-related performance among basketball players. …”
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Cochrane method for evaluating the efficacy of drugs, national contribution to international Cochrane collaboration by D. L. Varganova, C. S. Pavlov, A. A. Svistunov

“…The article defines the sequence of writing a metaanalysis: determing a task, inclusion and exclusion criteria, systematic search for randomized clinical trials, methodological assessment of studies, error risk assessment, meta-analysis models: fixed and random effects; determination of heterogeneity, presentation of meta-analysis results, assessment of confidence level using the GRADE system. …”
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Geospatial Analysis of COVID-19 Death Rate and Influencing Factors in the MENA Region by MUSTAFA SHEBANI ABOALYEM, Mohd Tahir Ismail

“…Spatial analysis can help identify factors associated with the high death toll and develop targeted interventions to reduce the virus's spread and improve health outcomes. …”
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Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of exper... by Eric Nyarko, Iddrisu Abugbil Atubiga, Emmanuel Tetteh Siame, José María Gutiérrez, Eduardo Alberto Fernandez

“…Our findings provide essential insights into local policy-making and intervention strategies and for shaping research agendas in Ghana. …”
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