Posttreatment Blood Pressure as a Key Predictor in a 5‐Year Stroke Prediction Model by Nan Zhang, Jiarong Mei, Fangfang Fan, Yan Zhang, Ziyi Zhou, Jianping Li

“…We also developed a random forest model to rank the variable importance. The 5‐year stroke risk prediction model for hypertensive individuals includes 10 risk factors, ranked by importance as follows: average systolic blood pressure during treatment, age, average diastolic blood pressure during treatment, baseline systolic blood pressure, history of diabetes, baseline total cholesterol level, baseline folate level, self‐reported stress, smoking, and folic acid supplementation or not. …”
Get full text

The Influences of the Model Configuration on the Simulation of Stratospheric Northern-Hemisphere Polar Vortex in the CMIP5 Models by Zelin Cai, Ke Wei, Luyang Xu, Xiaoqing Lan, Wen Chen, Debashis Nath

“…The extreme cold polar vortex bias, which was found in the CMIP3 models, vanishes in the CMIP5 models with HTOP, HVer, and NOG but persists in the other CMIP5 models. …”
Get full text

Research on Influential Factors of PM2.5 within the Beijing-Tianjin-Hebei Region in China by Jinchao Li, Lin Chen, Yuwei Xiang, Ming Xu

“…In this paper, we use fishbone method to set up the influential factor set of PM2.5 qualitatively. Then we use Spearman rank correlation test and panel data regression model to analyze the data of Beijing-Tianjin-Hebei region from 2012 to 2015 quantitatively. …”
Get full text

Environmental Surveillance and Transmission Risk Assessments for SARS-CoV-2 in a Fitness Center by Hongwan Li, Sripriya Nannu Shankar, Chiran T. Witanachchi, John A. Lednicky, Julia C. Loeb, Md. Mahbubul Alam, Z. Hugh Fan, Karim Mohamed, Arantzazu Eiguren-Fernandez, Chang-Yu Wu

“…We did not detect SARS-CoV-2 by rRT-PCR analyses in any air or surface sample. …”
Get full text

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). …”
Get full text

Wolfgang Mórócz z Beketfalvy (1575–1648). Spoločenský vzostup kariérneho úradníka v ranonovovekom Uhorsku by Frederik Federmayer

Get full text

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

Get full text

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).  …”
Get full text

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). …”
Get full text

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.…”
Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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). …”
Get full text

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. …”
Get full text

Evaluating renewable energy adoption in G7 countries: a TOPSIS-based multi-criteria decision analysis by Abtin Tabrizi, Hossein Yousefi, Mahmood Abdoos, Roghayeh Ghasempour

“…A score was assigned for each of the five parameters and seven countries were ranked using the TOPSIS method. …”
Get full text

Genetic diversity of soybean cultivars belonging to different ripeness groups with regard to performance and quality by A. I. Abugaliyeva, S. V. Didorenko

Get full text

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. …”
Get full text