Analysis of Vertical Ground Reaction Force Data in Predicting Parkinson’s Disease by Varun Jain

“…A Fourier Analysis and several support vector machine learning models were computed in MATLAB to classify whether an individual had Parkinson’s disease. …”
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Burned area detection based on time-series analysis in a cloud computing environment by J.A. Anaya, W.F. Sione, A.M. Rodriguez-Montellano

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PERFUSION COMPUTED TOMOGRAPHY IN DETERMINING THE NATURE OF FOCAL PULMONARY LESIONS: CLINICAL AND STATISTIC ANALYSIS by N. I. Sergeev, T. R. Izmailov, P. M. Kotlyarov, I. D. Lagкueva, V. A. Solodky

“…Advances in diagnostic imaging techniques have made it possible to measure a large number of blood flow parameters of pathological processes, and one of these techniques is perfusion computed tomography (PCT). The aim of the study was to confirm the reliability of CT perfusion findings in determining the nature of focal pulmonary lesions using statistical analysis data. …”
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Correlation Degree Analysis of Tourism and Economic Growth Based on Computable General Equilibrium Model by Meng Li

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Analysis of features of implementing a “Port scanning” attack using a “Zombie” computer by N. V. Boldyrikhin, M. V. Karpenko, I. A. Sosnovsky, E. A. Yadrets

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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou, Umesh Kumar Lilhore, Poongodi M, Tao Hai, Sarita Simaiya, Dayang Norhayati Abang Jawawi, Deema Mohammed Alsekait, Sachin Ahuja, Cresantus Biamba, Mounir Hamdi

“…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”
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Cone beam computed tomography analysis of maxillary vestibular bone thickness in the esthetic region by Đurđević Milica, Bubalo Marija, Luković Ana, Igić Ana, Acović Aleksandar, Kanjevac Tatjana

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Analysis of some factors influencing the performance of college students: An example of Computer Science education by L. V. Gubina, T. V. Alekseeva, O. A. Strakhov

“…Processing of the obtained data was carried out by the methods of correlation, variance and regression analysis; the degree of statistical reliability of the results was evaluated by calculating the Student’s t-test and the Fisher’s F-test.Results and scientific novelty. …”
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Vehicular-Computational Resource Geofencing: Efficient Spatiotemporal Uncertainty Estimation by Ghada Afifi, Bassem Mokhtar

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Tooling for Reproducible Research: Considerations for the Past and Future of Data Analysis by Roger Peng

“…We consider these contributions in the context of the history of reproducible research and consider what the implications are for the future of data analysis. …”
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LSGI: interpretable spatial gradient analysis for spatial transcriptomics data by Qingnan Liang, Luisa Solis Soto, Cara Haymaker, Ken Chen

“…We present Local Spatial Gradient Inference (LSGI), a computational framework that systematically identifies spatial locations with prominent, interpretable STGs from spatial transcriptomic (ST) data. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

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Analysis and Evaluation of Aerodynamic Noise Characteristics of Toroidal Propeller by Wei Wei, Yuanqing Ma, Shiyi Wei, Dongsheng Wang, Meng Guo, Qingdong Yan

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Mitochondrial-Localized Protein Transcript Abundance can Predict the Prognosis of Endometrial Carcinoma: A Retrospective Analysis by Weifei Liang, Hong Lin, Donglin Sun, Minghui Tang

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Using Grayscale Photos to Introduce High School Statistics Teachers to Reasoning with Digital Image Data by Anna Fergusson, Maxine Pfannkuch

“…Statistics teaching at the high school level needs modernizing to include digital sources of data that students interact with every day. Algorithmic modeling approaches are recommended, as they can support the teaching of data science and computational thinking. …”
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Effects of Ply Misalignment in Material Characterization of Composite Laminates by Michael Franz, Racim Radjef, Boris Eisenbart, Sandro Wartzack

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Editorial: Statistical approaches, applications, and software for longitudinal microbiome data analysis and microbiome multi-omics data integration by Huilin Li, Jun Chen, Mogens Fenger, Yuan Jiang

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Survey on the visualization technologies of threatening security data in cyber space by Fan ZHANG, Fan XIE, Jie JIANG

“…With the rapid development of the cyber threatening methods,the requirements of network security data analysis become more and more imperative.Data visualization has already evolved as a requisite tool among all kinds of data analysis theory framework and applications,especially in the fields of scientific computation,business intelligence and cyber security.Threatening security data visualization provides various effective interaction means which improve the perception ability for the cyber security specialists to get a distinctive insight into the large amount of complicated cyber security problems.The state-of-art cyber security data visualization technologies were introduced.Some existing problems that were still challenging research topics were investigated.Some directions for future studies were outlined.…”
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Data Collection and Analysis for Small-Town Policing: Challenges and Recommendations by Claire Kelling, Anna Haensch, Ariana Mendible, Spencer Brooks, Alexander Wiedemann, Manuchehr Aminian, Wade Hasty, Jude Higdon

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Analysis of plant metabolomics data using identification‐free approaches by Xinyu Yuan, Nathaniel S. S. Smith, Gaurav D. Moghe

“…These peaks are usually annotated using in‐house retention time or spectral libraries, in silico fragmentation libraries, and increasingly through computational techniques such as machine learning. Despite these advances, over 85% of LC‐MS peaks remain unidentified, posing a major challenge for data analysis and biological interpretation. …”
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