Exploratory Factor Analysis with R Software by Abdullah Faruk Kılıç

“…First of all, it is examined whether the data set holds the assumptions of EFA. When examining the assumptions of EFA, a function was written. …”
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Exploratory Factor Analysis with R Software by Abdullah Faruk Kılıç

“…First of all, it is examined whether the data set holds the assumptions of EFA. When examining the assumptions of EFA, a function was written. …”
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Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…Linear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. …”
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Kinematics Analysis for High-speed Pantograph by GUO Gui-lin, WANG Jun-yong

“…The pantograph’s movement parameters were obtained fromthe simulation analysis, result comparison with experimental data and evaluation of the pantograph kinematics performance were also carriedout. …”
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A toolbox for representational similarity analysis. by Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte

“…The toolbox supports an analysis approach that is simultaneously data- and hypothesis-driven. …”
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ANALYSIS OF RUSSIAN TRANSPORT PERFORMANCE INDICATORS by Olga N. Mirkina

“…Based on the results of the analysis of statistical data, an increase in the value of fixed assets and the volume of investments, a decrease in the degree of depreciation of fixed assets, and an improvement in the balanced financial result of transport organizations' activities were revealed. …”
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Accurate Transcription Factor Activity Inference to Decipher Cell Identity from Single‐Cell Transcriptomic Data with MetaTF by Yongfei Hu, Yuanyuan Zhu, Guangjue Tang, Ming Shan, Puwen Tan, Ying Yi, Xiyuan Zhang, Man Liu, Xinyu Li, Le Wu, Jia Chen, Hailong Zheng, Yan Huang, Zhuan Li, Xiaobo Li, Dong Wang

“…Overall, metaTF enables robust TF activity analysis from scRNA‐seq data, significantly enhancing the characterization of cell identity and function.…”
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Discriminant analysis of variational pulsometry parameters by U. I. Silkina, V. A. Balandin

“…The parameters with weak cross-correlation with high predictive significance, the spread of the values of which corresponds to the normal distribution law, were selected for the discriminant analysis. A function which allows to identify the patient as “sick” or “healthy” (one of the categories) has been determined. …”
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PCA-FSA-MLR Model and Its Application in Runoff Forecast by GUO Cunwen, CUI Dongwen

“…To improve the accuracy of runoff forecast,and establish a runoff forecast model combining principal component analysis (PCA),future search algorithm (FSA),and multiple linear regression (MLR),this paper reduces the dimensionality of the sample data by PCA,selects 8 standard test functions and simulates and verifies FSA under different dimensional conditions,optimizes MLR constant terms and partial regression coefficients by FSA,proposes a PCA-FSA-MLR runoff forecast model,constructs PCA-LS-MLR,PCA-FSA-SVM,and PCA-SVM models with dimensionality reduction processing by PCA and FSA-MLR,LS-MLR,FSA-SVM,and SVM without dimensionality reduction processing as a comparison model,and verifies each model through forecasting the annual runoff and monthly runoff in December of Longtan station in Yunnan Province.The results show that:①FSA has better optimization accuracy and global extremum search ability under different dimensional conditions;②The average absolute relative error of the annual runoff and monthly runoff in December of Longtan station through PCA-FSA-MLR model are 1.63% and 3.91% respectively,and its forecast accuracy is better than the other 7 models,with higher forecast accuracy and stronger generalization ability;③For the same model,the forecast accuracy after dimensionality reduction processing by PCA is better than that without dimensionality reduction processing,so the data dimensionality reduction by PCA is helpful to improve the forecast accuracy of models.…”
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Global analysis of posttranslational protein arginylation. by Catherine C L Wong, Tao Xu, Reena Rai, Aaron O Bailey, John R Yates, Yuri I Wolf, Henry Zebroski, Anna Kashina

“…The results of our study suggest that protein arginylation is a general mechanism for regulation of protein structure and function and outline the potential role of protein arginylation in cell metabolism and embryonic development.…”
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Analysis of Artificial Intelligence regulations for trustworthiness by Hyesung Park, Hun-yeong Kwon

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Genome-wide identification, expression analysis, and stress response analysis of the RdbZIP gene family in Rhododendron delavayi by Mengxian Cai, Chunxing Sun, Junxing Yu, Jing Ou, Bin Zhu

“…Future research should focus on the functional validation of key RdbZIP genes and elucidation of their regulatory pathways, which may contribute to the genetic improvement of Rhododendron species under adverse environmental conditions. …”
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Joint Multifractal Analysis and Source Testing of River Level Records Based on Multifractal Detrended Cross-Correlation Analysis by Liang Wu, Manling Wang, Tongzhou Zhao

“…Results of joint multifractal analysis via multifractal detrended cross-correlation analysis show that the change in joint multifractality at pairs of adjacent sites caused by weak cross-correlations can be detected by comparing the single generalized Hurst exponent with the joint scaling exponent function and reveal the effects of human activities on joint multifractality. …”
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Multifractal analysis of Bitcoin price dynamics by Cristian Bucur, Bogdan-George Tudorică, Adela Bâra, Simona-Vasilica Oprea

“…The log-log plot of fluctuation function Fq versus lag size demonstrates a power-law relationship, characteristic of multifractal systems. …”
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“The city’s speech”: Analysis of Novosibirsk graffiti by Darya A. Karavaeva, Kseniia N. Kalashnikova

“…The method used is quantitative analysis of visual data. The informational basis of the study is an archive of photographs collected from the territories of 40 schools in Novosibirsk as part of the research project "School in the Space of the Metropolis." …”
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Corporate reporting and its role in Business Management by L. А. Chaikovskaya

“…The methodological basis of the study was a system-functional and economic-statistical analysis, comparison. …”
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CD147 expression as a clinicopathological and prognostic indicator in breast cancer: a meta-analysis and bioinformatics analysis by Shuai Shi, Hong-Yan Ma, Yin-zhou Sang, Ying-bo Ju, Xing-guang Wang, Zhi-Gang Zhang

“…Results The meta-analysis revealed that all articles included data on 522 patients with breast cancer and 492 normal tissues. …”
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DA-IRRK: Data-Adaptive Iteratively Reweighted Robust Kernel-Based Approach for Back-End Optimization in Visual SLAM by Zhimin Hu, Lan Cheng, Jiangxia Wei, Xinying Xu, Zhe Zhang, Gaowei Yan

“…Existing VSLAM frameworks often use kernel function-based back-end optimization methods. However, these methods typically rely on fixed kernel parameters based on the chi-square test, assuming Gaussian-distributed reprojection errors. …”
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THE SPACE OF THERMOMETRIC SIGNS IN THE PROBLEM OF MAMMARY GLANDS CANCER DIAGNOSIS by E. Mazepa, V. Dubovskaya

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GENDER DIFFERENCES OF CORONARY HEART DISEASE PATIENTS WITH POSTINFARCTION CARDIOSCLEROSIS AND CHRONIC MITRAL REGURGITATION BY THE DATA OF CORONARY ANGIOGRAPHY REGISTRY by E. I. Yaroslavskaya, V. A. Kuznetsov, G. S. Pushkarev, D. V. Krinochkin, G. V. Kolunin, E. A. Gorbatenko

“…To reveal gender differences of clinical and functional parameters in postmyocardial infarction patients with chronic mitral regurgitation by data of coronary angiography Registry.Material and methods. …”
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