Rehabilitation monitoring and assessment: a comparative analysis of feature engineering and machine learning algorithms on the UI-PRMD and KIMORE benchmark datasets by Moamen Zaher, Amr S. Ghoneim, Laila Abdelhamid, Ayman Atia

“…This study uses computer vision and classical machine learning (ML) to monitor and evaluate physical rehabilitation exercises using skeletal data. It compares five feature extraction approaches, six feature ranking techniques, and thirteen ML algorithms to identify the most influential features for accurate exercise classification using benchmark datasets (UI-PRMD and KIMORE). …”
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Comparative assessment of plasticity, stability and homeostasis based on ‘1000 grain weight’ in winter rye cultivars developed at VIR by N. I. Aniskov, I. V. Safonova

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EVALUATION OF THE ADAPTIVE PROPERTIES OF SPRING BARLEY VARIETIES ACCORDING TO THEIR YIELD CAPACITY IN THE ENVIRONMENTS OF THE NEAR-IRTYSH AREA IN OMSK PROVINCE by P. N. Nikolaev, P. V. Popolzukhin, N. I. Anisimov, O. A. Yusova, I. V. Safonova

“…The barley yield varied greatly  depending on environmental conditions and hereditary  characteristics of varieties, which was confirmed by the results of the variance analysis: the share of the influence of the "year of testing"  factor on the yield was 77.5%. The best conditions for the formation  of increased yields during the period of research were observed: in 2011 and 2015 (5.28 and 5.78 t/ha), with a maximum index of  environmental conditions (Ij = 1.38 and 1.88, respectively).  …”
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Application of a methodological framework for the development and multicenter validation of reliable artificial intelligence in embryo evaluation by D. Gilboa, Akhil Garg, M. Shapiro, M. Meseguer, Y. Amar, N. Lustgarten, N. Desai, T. Shavit, V. Silva, A. Papatheodorou, A. Chatziparasidou, S. Angras, J. H. Lee, L. Thiel, C. L. Curchoe, Y. Tauber, D. S. Seidman

“…The highest OR was observed in the top G4 bracket (test dataset G4 score ≥ 7.5: OR 3.84; independent dataset G4 score ≥ 7.5: OR 4.01), while the lowest was in the G1 bracket (test dataset G1 score < 4.0: OR 0.40; independent dataset G1 score < 4.0: OR 0.45). …”
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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

“…We also introduce our method to the vision transformer model (ViT) and achieve performance comparable to state-of-the-art methods with nearly 1.5 × less computation.…”
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International Ratings of Higher Education Institutions: Analysis of Results Taking Into Account the Profile of Their Educational and Scientific Activities by V. A. Gaisenok, О. A. Naumovich, V. V. Samokhval, V. М. Galynsky

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Corporate Culture as a Tool for Improving University’s Competitiveness by Irina V. Trotsuk, Daria V. Sukhoverova

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Four symmetric systems of the matrix equations with an application over the Hamilton quaternions by Long-Sheng Liu, Shuo Zhang, Hai-Xia Chang

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THE PROBLEM OF STANDARDS MEASURABILITY IN HIGHER VOCATIONAL EDUCATION by Y. A. Shikhov, O. F. Shikhova, A. A. Kasatkin

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Hyperspectral Band Selection with Unique Pixel Extraction and Adaptive Neighbor Clustering by Bing Han, Mingqing Liu, Zhenyu Ma, Ke Zhang, Yanke Xu, Jingyu Wang, Qi Wang

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Determinants of Mortality in Patients with Nosocomial Acinetobacter baumannii Bacteremia in Southwest China: A Five-Year Case-Control Study by Shuangshuang Yang, Jide Sun, Xianan Wu, Liping Zhang

“…The in-hospital mortality of nosocomial A. baumannii bacteremia was 21.2%, and the attributable in-hospital mortality rate due to CRAB was 21.5%. Significant difference of 30-day in-hospital mortality in the Kaplan–Meier curves was found between CRAB and CSAB groups (log-rank test, P=0.025). …”
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The Prognostic Implication of the BRAF V600E Mutation in Papillary Thyroid Cancer in a Chinese Population by Ziheng Ye, Xiaotian Xia, Peipei Xu, Wenfei Liu, Shoufei Wang, Youben Fan, Minggao Guo

“…The Kaplan–Meier survival curves demonstrated that the difference between the BRAF V600E-positive and BRAF V600E-negative groups was significant with a log-rank P-value of 0.048. …”
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Genetic diversity of soybean cultivars belonging to different ripeness groups with regard to performance and quality by A. I. Abugaliyeva, S. V. Didorenko

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Selection of strawberry cultivars according to their productivity and berry quality using normalized indices by V. I. Lapshin, V. V. Yakovenko

“…Greater part of the total variance in the set of characters was determined by the first five principal components. The cluster analysis identified two groups of cultivars. …”
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A general analysis of the impact of international collaboration on the citation indices of scientific publications from 60 institutions across five continents by IRAINE DUARTE, HELLEN G.G. SANTOS, MARCIO L. RODRIGUES

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Enhancing the utility of polygenic scores in Alzheimer’s disease through systematic curation and annotation by Savannah Mwesigwa, Yulin Dai, Nitesh Enduru, Zhongming Zhao, Zhongming Zhao

“…We aligned the scores based on the “GWAS significant variants” (GWAS-SV) method with the GWAS Catalog and flagged redundant files and those with a “limited scope” due to insufficient external GWAS support. Using rank aggregation (RA), we prioritized consistently important variants and provided an R package, “PgsRankRnnotatR,” to automate this process.ResultsOf the six RA methods evaluated, “Dowdall” method was the most robust. …”
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Promising inhibitors against main protease of SARS CoV-2 from medicinal plants: In silico identification by EBENEZER OLUWAKEMI, SHAPI MICHAEL

“…To pinpoint the drug-like compound among the top-ranked compounds, the Lipinski’s rule of five and pharmacokinetic properties of all the selected compounds were evaluated. …”
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Evaluation of the Level of Salivary sHLA-G in Children Aged 3–5 Years with or without Dental Caries by Mansoureh Bijani, Amrollah Mostafazadeh, Mina Motallebnejad, Ali Bijani, Roghiyeh Pourbagher, Samaneh Gharekhani

“…The unstimulated saliva samples were collected, and the salivary sHLA-G concentration was measured by the ELISA kit. The SPSS Statistics v17.0 software and Mann–Whitney, Kruskal–Wallis, chi-square, and Spearman’s rank correlation tests were used for statistical analysis. …”
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Comparison of the Ability of Two Brands of CBCT with That of SEM to Detect the Marginal Leakage of Class V Composite Resin Restorations by Mitra Karbasi Kheir, Leili Khayam

“…This study was carried out to compare the ability of two common brands of cone-beam computed tomography (CBCT), including New Tom and Planmeca, to detect the marginal leakage of class V composite resins. The ability of each of the two brands of CBCT to detect the marginal leakage of class V composite resins was also compared with that of scanning electron microscopy (SEM). …”
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Competitiveness of Russian Universities in the Global System of Higher Education: Quantitative Analysis by D. A. Endovitsky, V. V. Korotkikh, M. V. Voronova

“…We proposed four working hypotheses. (1) The positions of Russian universities in the international QS ranking are different for metropolitan and regional universities. (2) The positions of Russian universities in the international QS ranking depend on the status of universities. (3) The positions of Russian universities in the international QS ranking differ depending on the participation of universities in the Russian Academic Excellence Project “5-100”. (4) The positions of Russian universities in the international QS ranking are different depending on the level of annual university income. …”
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