The Impact of Pterional Craniotomy on Dental Occlusion by Adrian Rogala, Grażyna Brzuszkiewicz-Kuźmicka, Grzegorz Turek, Maciej Jakubowski, Wojciech Górecki, Mirosław Ząbek

“…The T-SCAN system provides a very accurate way of determiningand evaluating the time sequence and force value of occlusal contacts by converting qualitative data into quantitative parametersand then presenting them digitally. …”
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Color Night-Light Remote Sensing Image Fusion With Two-Branch Convolutional Neural Network by Jie Wang, Yanling Lu, Yuefeng Wang, Jianwu Jiang

“…Finally, the enhanced classification capability of CNLRSI is quantitatively validated through confusion matrix analysis, achieving a higher Kappa coefficient (0.814 versus 0.774) than NPP/VIIRS in urban pixel recognition.…”
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Scaling Up Departmental Health Insurance Units in Senegal: A Mixed-Method Study by Valéry Ridde, Mouhamadou Faly Ba, Babacar Kane, Anouk Chouaïd, Adama Faye

“…The sample size consists of 22 individuals involved in the process. The quantitative analysis includes hierarchical cluster analysis, multidimensional scaling analysis, and the Pearson coefficient test. …”
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Factors related with the appropriateness of pharmacological treatment in polypathological patients by M.D. Vega Coca, P.C. Rivas Covas, E.R. Alfaro Lara, M. Rincón Gómez, M. Galván Banqueri, M.D. Nieto Martín

“…In the analysis of the strength of association between two continuous variables the Pearson correlation coefficient was used. Test of Student’s t or Mann-Whitney comparisons of quantitative data between two groups were applied. …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm by Sachin Minocha, Suvita Rani Sharma, Birmohan Singh, Amir H. Gandomi

“…Different analyses, such as visual analysis, statistical attack analysis, differential attack analysis, and quantitative analysis, have been utilized to assess the effectiveness of the proposed encryption approach. …”
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3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The experiments on the prostate, atrium, and pancreas MR/CT image datasets consistently demonstrate the advantage of the proposed method over six popular segmentation models in both qualitative evaluation and quantitative indexes such as dice similarity coefficient, Intersection over Union, 95% Hausdorff distance and average symmetric surface distance.…”
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The Quality of Functional Movements and the Back Squat in Amateur and Professional Bodybuilders by VERONIKA ILJINAITĖ, LAIMONAS ŠIUPŠINSKAS, KRISTINA BERŠKIENĖ

“…Statistical analyses applied non-parametric tests (Wilcoxon, Mann-Whitney U, and Friedman's) for dependent and independent samples, with significance set at p\<0.05, and the Spearman correlation coefficient and Chi-square test were used to assess relationships between quantitative and qualitative variables…”
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Prevalence of hypertension, and related factors among adults in Wolaita, southern Ethiopia: A community-based cross-sectional study. by Wondimagegn Paulos Kumma, Bernt Lindtjørn, Eskindir Loha

“…The multivariate logistic regression analysis was used to assess factors associated with hypertension and carried out after declaring the data set as survey data to account for the effect of clustering. An adjusted coefficient with 95% CI was used to ascertain the significance of the association.…”
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The Comorbidities Coma Scale (CoCoS): Assessment of Psychometric Properties by N. A. Suponeva, O. A. Kirichenko, K. A. Yatsko, A. A. Zimin, L. A. Legostayeva, D. V. Sergeev, D. G. Yusupova, Yu. V. Ryabinkina, M. A. Piradov, F. Pistoia

“…However, when evaluating the CoCoS sensitivity, there were no statistically significant changes in the parameters (p=0.316).CONCLUSION In the present study, a sufficient level of psychometric properties of the Russian-language version of the CoCoS was obtained, which opens up the possibility of a quantitative assessment of comorbidities in unresponsive patients both in scientific research and clinical practice. …”
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The Influence of Grain Size on the Abrasive Wear Resistance of Hardox 500 Steel by Martyna Zemlik, Beata Białobrzeska, Mateusz Stachowicz, Jakub Hanszke

“…Moreover, as grain size increases from 18 µm to 130 µm, the relative abrasive wear resistance coefficient <i>K_b</i> decreases from 1.00 (for Hardox 500 steel in its as-delivered state) to 0.80 for austenitized material treated at 1200 °C.…”
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3D Convolutional Neural Networks for Brain Tumor Analysis in Multimodal MRI: A Systematic Review by Hamza S. Alsmadi, Hazlina Hamdan, Norwati Mustapha, Noridayu Manshor

“…Based on these studies, the article conducted systematic and quantitative analysis from technical and task perspectives. …”
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The Development of Dry Extract Technology from Callus Culture Biomass of <i>Scutellaria baicalensis</i> by A. A. Danilova, N. S. Pivovarova, E. V. Flisyuk

“…Functional characteristics (friability, Hausner’s coefficient, Carr’s index, fractional composition, as well as porosity and hygroscopicity) of S. baicalensis biomass and dry extract on its basis were determined according to the methods of the EAEU Pharmacopoeia. …”
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QSAR, Molecular Docking, and Pharmacokinetic Studies of 1,8-Naphthyridine Derivatives as Potential Anticancer Agents Targeting DNA Topoisomerase II by Garba Suleiman, Auwal Salisu Isa, Adamu Uzairu, Nabil El Brahmi, Saïd El Kazzouli

“…We developed a robust quantitative structure–activity relationship model via multiple linear regression, achieving a coefficient of determination (R2) of 0.6991. …”
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A long-term high-resolution dataset of grasslands grazing intensity in China by Daju Wang, Qiongyan Peng, Xiangqian Li, Wen Zhang, Xiaosheng Xia, Zhangcai Qin, Peiyang Ren, Shunlin Liang, Wenping Yuan

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A preliminary report on the feasibility of regression-based alignment of diagnostic thresholds for harmonized use of international classification criteria for antiphospholipid synd... by Yukari Motoki, Risa Kaneshige, Yuichiro Fujieda, Kenji Oku, Eriko Morishita, Masahiro Ieko, Tatsuya Atsumi, Kiyoshi Ichihara, Junzo Nojima

“…The between-assay concordance of diagnostic classification using the estimated thresholds was calculated as kappa coefficient (κ).<h4>Results</h4>Using major-axis regression, thresholds equivalent to the traditional units (10 - 80U) were estimated for non-ELISA assays, which led to harmonized semi-quantitative classification with high κ values. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

“…Combined with the SHAP quantitative feature contribution and feature deletion experiment, a complete chain of “feature extraction time series modeling weight allocation interpretation and verification” is constructed. …”
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Investigation of the status of virtual education from the perspective of school-age children and its relationship with the health-related quality of life and life satisfaction by Zahra Mirzapour, Soheila Jafari-Mianaei, Mohammad J. Tarrahi, Fariba Haghani

“…Descriptive statistics were used for descriptive data (mean and standard deviation for quantitative variables and frequency distribution table for qualitative variables), and the Pearson correlation coefficient was used for inferential data. …”
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Effect of mechanical and friction properties of coconut peel on processing and manufacturing processes by Renyan Yang, Shaofeng Ru, Xuanhao Li, Yangding Han

“…This study provides essential quantitative data to advance mechanized manufacturing and processing technologies for coconut-based products.…”
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Goal Setting dan Motivasi Berprestasi Atlet Panahan di Kota Pontianak by Maulidi Yogi Fachrezi, Vidyastuti Vidyastuti, Widya Lestari

“…The method used is quantitative with a correlational design. The research subjects were 21 people who were recorded as Pontianak city archery athletes. …”
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Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan by Liping Wang, Haonan Chen, Zhe Li

“…A wide range of evaluation metrics such as the relative bias (RB), Pearson correlation coefficient (CC), mean error (ME), normalized mean error (NME), mean absolute error (MAE), normalized mean absolute error (NMAE) and root mean squared error (RMSE) are considered in the study. …”
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