Мethods of Machine Learning in Ophthalmology: Review by D. D. Garri, S. V. Saakyan, I. P. Khoroshilova-Maslova, A. Yu. Tsygankov, O. I. Nikitin, G. Yu. Tarasov

“…Artificial neural networks have the potential to be used in automated screening, determining the stage of diseases, predicting the therapeutic effect of treatment and the diseases outcome in the analysis of clinical data in patients with diabetic retinopathy, age-related macular degeneration, glaucoma, cataracts, ocular tumors and concomitant pathology. …”
Get full text

RISK FACTORS FOR THE EARLY NEONATAL MORTALITY IN NEWBORNS WITH VERY LOW AND EXTREMELY LOW BIRTH WEIGHT by О. V. Lebedeva, Т. А. Chikina

“…The association of risk factors with the early neonatal mortality was assessed by means of a multiple-factor logistic regression analysis. A critical p error level was set equal to 0.05. …”
Get full text

Machine Learning-Based VO₂ Estimation Using a Wearable Multiwavelength Photoplethysmography Device by Chin-To Hsiao, Carl Tong, Gerard L. Coté

“…A validation study was conducted with eight subjects using a modified Bruce protocol, comparing the PPG-based estimates to the gold-standard Parvo Medics gas analysis system. The results demonstrated a mean absolute error of 1.66 mL/kg/min and an R² of 0.94. …”
Get full text

EVALUATION OF THE ACCURACY OF COMPUTER MEASUREMENT OF A PHOTOGRAMMETRIC MODEL OF THE JAW by Dmytro M. Korol, Dmytro D. Kindiy, Kateryna D. Toncheva, Ruslan V. Kozak, Vitalii V. Yarkovyi, Sergiy G. Zubchenko, Mykhailo O. Ramus

“…The difference between the two measurement methods was comparable to the results of other researchers. The analysis of the results proved that computer measurement on a 3D model is 27% better by the standard deviation criterion, 28% better by the mean error criterion, and 26% better by the coefficient of variation. …”
Get full text

Technology and Method Optimization for Foot–Ground Contact Force Detection in Wheel-Legged Robots by Chao Huang, Meng Hong, Yaodong Wang, Hui Chai, Zhuo Hu, Zheng Xiao, Sijia Guan, Min Guo

“…A custom experimental platform is developed to replicate variable gait frequencies and collect dynamic contact data for validation. The results demonstrate that both GPR and ANN models achieve high accuracy in predicting dynamic 3D contact forces, with normalized root mean square error (NRMSE) as low as 8.04%. …”
Get full text

Investigating the Reliability of Empirical Path Loss Models over Digital Terrestrial UHF Channels in Ikorodu and Akure, Southwestern Nigeria by Akinsanmi Akinbolati, Bolanle T. Abe

“…The uniqueness of this study is that it used real-world data with a seasonal scope, and the mean values were employed in the analysis to strengthen the reliability of the results. …”
Get full text

An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics by Z. Tan, D. Xu, S. Taraphdar, J. Ma, G. Bisht, L. R. Leung

“…Our analysis further revealed that the dominant uncertainty sources of the downscaled hydrodynamics are different, with flow velocity dominated by the dimensionality reduction error, which we reduced by using a regionalized training procedure. …”
Get full text

Surrogate Modeling for Building Design: Energy and Cost Prediction Compared to Simulation-Based Methods by Navid Shirzadi, Dominic Lau, Meli Stylianou

“…A parametric design configuration analysis further evaluates the models’ sensitivity to changes in building envelope features. …”
Get full text

Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis-NIR Spectroscopy. by Shengxiang Xu, Xuezheng Shi, Meiyan Wang, Yongcun Zhao

“…Reflectance data were related to surface SOM content by means of a partial least square regression (PLSR) method and several data pre-processing techniques, such as first and second derivatives with a smoothing filter. …”
Get full text

Vision impairment and differential access to eye health services in Aotearoa New Zealand: protocol for a scoping review by Matire Harwood, Jacqueline Ramke, Joanna Black, Iris Gordon, Jaymie Tingkham Rogers, Ben Wilkinson

“…Two authors will independently review titles, abstracts and full-text articles, and complete data extraction. Overall findings will be summarised using descriptive statistics and thematic analysis, with an emphasis on disaggregation by ethnicity where this information is available.Ethics and dissemination Ethical approval has not been sought as our review will only include published and publicly accessible data. …”
Get full text

HUBUNGAN KOMUNIKASI INTERPERSONAL DENGAN KONSEP DIRI REMAJA TUNARUNGU DI KOTA YOGYAKARTA by Dewi Wulandari, Pratiwi Wahyu Widiarti

“…Data analysis techniques using the product moment correlation formula. …”
Get full text

Dynamic deep learning based super-resolution for the shallow water equations by Maximilian Witte, Fabrício R Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow

Get full text

Design of an Improved Model for Anomaly Detection in CCTV Systems Using Multimodal Fusion and Attention-Based Networks by V. Srilakshmi, Sai Babu Veesam, Mallu Shiva Rama Krishna, Ravi Kumar Munaganuri, Dulam Devee Sivaprasad

“…Traditional approaches for video analysis often misdefine anomalies; they usually rely on single-modality input and have inadequate management of complex temporal patterns. …”
Get full text

A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates by Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen

“…The C-index and the mean prediction error of the cross validation are better than the static RMST model. …”
Get full text

Structural detection of goaf based on three-dimensional ERT technology by Nan Jia

“…Compared with traditional methods, 3D ERT not only reduces environmental interference, but also significantly improves the efficiency of data collection and the accuracy of analysis, providing a new technical means for mine safety management and underground engineering.…”
Get full text

Translation, cultural adaptation, and psychometric validation of the Persian version of the children's trust in general nurses’ scale by Jamalodin Begjani, Armin Zareian, Mohammad Mehdi Rajabi

“…Reliability was determined using Cronbach’s alpha coefficient, intraclass correlation coefficient (ICC), and standard error of measurement (SEM). Data analysis was conducted using SPSS version 26, Smart PLS version 3.2.8, and LISREL version 8.8.Results: The scale demonstrated robust psychometric properties, confirming face, content, convergent, and discriminant validity. …”
Get full text

The Impact of Tax Morality on Tax Evasion: Evidence of EU Countries by Oleksiy Mazurenko, Inna Tiutiunyk, Lilia Derkach

“…The methodological tools of the research include the analytical method, methods of analysis and synthesis, econometric analysis methods (Panel unit root test, Pedroni panel cointegration tests, Pearson’s correlation test, Greanger test, Panel Vector Error Correction Estimate model). …”
Get full text

A comparative ensemble approach to bedload prediction using metaheuristic machine learning by Ajaz Ahmad Mir, Mahesh Patel, Fahad Albalawi, Mohit Bajaj, Milkias Berhanu Tuka

“…The sensitivity analysis emphasizes the crucial role of the Shields parameter in bedload prediction, while the SHAP analysis highlights the substantial influence of the XGB model in enhancing predictive accuracy. …”
Get full text

Comparison of Multiple-Choice Question Formats in a First Year Medical Physiology Course by L. Britt Wilson, Christine DiStefano, Huijuan Wang, Erika L. Blanck

“…The results presented here are the mean ± standard error of the mean (SEM). The analysis showed that D (0.278 ± 0.008 vs 0.228 ± 0.006) and rpbis (0.291 ± .006 vs 0.273 ± .006) were significantly higher for NSF questions compared to SF questions, indicating NSF questions provided more discriminatory power. …”
Get full text

The Use of Artificial Intelligence Technologies in Energy and Climate Security by Igbal A. Guliev, Agil Mammadov, Kanan Ibrahimli

“…This study provides a theoretical analysis of the use and application of artificial intelligence (AI) in the energy sector as it relates to climate security. …”
Get full text