Data processing pipeline for scientific publications to identify priority research areas by Iskandar B. Soliev

“…The article aims to develop and test a data processing pipeline for scientific publications, which will allow the systematisation of large amounts of information and provide decision support in scientific organisations. …”
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Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data by Erli Wu, Xuan Yin, Feng Liang, Xianqing Zhou, Jiamin Hu, Wanting Yuan, Feihan Gu, Jingxin Zhao, Ziyang Gao, Ming Cheng, Shouxiang Yang, Lei Zhang, Qingqing Wang, Qingqing Wang, Xiaoyu Sun, Xiaoyu Sun, Wei Shao, Wei Shao

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Use of individual Google Location History data to identify consumer encounters with food outlets by Olufunso Oje, Ofer Amram, Perry Hystad, Assefaw Gebremedhin, Pablo Monsivais

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Analysis of rating methods for assessing the scientific and technological development of the Federal districts of the Russian Federation by N. E. Egorov, G. S. Kovrov

“…Purpose:  the article presents an analysis of the rating methods for the possibility of their use to assess the level of scientific and technological development of the Federal districts of the Russian Federation.Methods: the methods of comparative analysis, the method of arithmetic averages, the method of median ranks, the method of rating and the method of correlation analysis were used in the work. …”
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The Effectiveness of Research and Development in the Field of Transport and Space Systems in Russia: Analysis of Publication Activity by V. P. Zavarukhin, T. I. Сhinaeva, E. Yu. Churilova

“…The information base of the study was statistical data and analytical information reflecting the state of research and development in the field of study and development of transport and space systems. …”
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Enhancing stock market predictions for classifying unlabelled celebrities' twitter data by Baljinder Singh, Mandeep Kaur, Gurbinder Singh Brar, NZ Jhanjhi

“…With the help of Deep Neural Networks, which are specially designed for sentiment analysis in stock market data, and the optimisation skills of the Firefly Algorithm, the suggested method seeks to increase classification accuracy. …”
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Preparation of Innovative Development Rating of Russian Regions by the Level of University Involvement by Irina Yu. Vygodchikova

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Machine Learning and data mining tools applied for databases of low number of records by Hubert Anysz

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Emerging trends and new developments in global research on artemisinin and its derivatives by Yu Lai, Huize Zhang, Xi Chen

“…The research hotspots and frontiers pertinent to this field in terms of countries, institutions, authors, journals, references, and keywords were ascertained through scientometric analysis via CiteSpace software. Results: This study included an extensive assemblage of 12,985 data points, and the findings suggest that ART and its derivatives have garnered considerable interest among scientists. …”
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Efficient extraction of experimental data from line charts using advanced machine learning techniques by Wenjin Yang, Jie He, Xiaotong Zhang

“…This research provides an efficient foundation for large-scale scientific data analysis and machine learning model development, advancing the field of automated data extraction technology.…”
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A Multiple Imputation Workflow for Handling Missing Covariate Data in Pharmacometrics Modeling by My‐Luong Vuong, Geert Verbeke, Erwin Dreesen

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Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data by Tongtong Jin, Ayitijiang· Halili

“…This study systematically developed machine learning (ML) models to predict depression risk in disabled elderly individuals using longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), providing a potentially generalizable tool for early screening.MethodsThis study utilized longitudinal data from the CHARLS 2011–2015 cohort. …”
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Data-Weighting Periodic RLS Based Adaptive Control Design and Analysis without Linear Growth Condition by Ronghu Chi, Zhongsheng Hou, Shangtai Jin

“…A new periodic recursive least-squares (PRLS) estimator is developed with data-weighting factors for a class of linear time-varying parametric systems where the uncertain parameters are periodic with a known periodicity. …”
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Analysis of meteorological effects of cosmic ray neutron component based on data from mid-latitude stations by Kobelev P. G., Hamraev Y. B., Yanke V. G.

“…The aim of the work is to estimate the barometric effect of the neutron component of cosmic rays for the low-latitude stations Tashkent and Alma-Ata (mountain), including periods of maximum solar activity. The technique developed on the basis of multifactor correlation analysis is applicable to processing data from any detectors of the worldwide network of neutron monitors. …”
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Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis by AN Jizhen, ZHENG Fuhao, LIU Yifan, CHEN Heng, XU Gang

“…Aiming at the frequent occurrence of induced draft fan faults in thermal power units, a kind of induced draft fan fault warning method based on big data analysis was proposed.Taking the induced draft fan of a 330 MW thermal power unit as the research object, 11 kinds of characteristic information closely related to its working state were extracted. …”
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Worldwide willingness to share health data high but privacy, consent and transparency paramount, a meta-analysis by Quita Olsen, Amalie Dyda, Leanna Woods, Elton Lobo, Rebekah Eden, Michelle A. Krahe, Bernadette Richards, Nalini Pather, Lesley McGee, Clair Sullivan, Jason D. Pole

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The use of metaphors by service users with diverse long-term conditions: a secondary qualitative data analysis by Heidi Lempp, Chris Tang, Emily Heavey, Katherine Bristowe, Helen Allan, Vanessa Lawrence, Beatriz Santana Suarez, Ruth Williams, Lisa Hinton, Karen Gillett, Anne Arber

“…The authors of this study undertook a secondary qualitative data analysis of 25 interviews, comparing the metaphors used by patients and parents of patients with five longterm conditions. …”
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KanuriSenti: A novel dataset for sentiment analysis in the under-resourced Kanuri languageMendeley Data by Bashir Maina Saleh, Saurabh Bilgaiyan, Santwana Sagnika

“…This paper presents KanuriSenti, a novel sentiment analysis dataset developed for Kanuri, a major yet under-resourced language spoken across Nigeria and the Lake Chad region. …”
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Public Perception of Autonomous Mobility Using ML-Based Sentiment Analysis over Social Media Data by Nikolaos Bakalos, Nikolaos Papadakis, Antonios Litke

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Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids by Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li

“…These results demonstrate the potential of utilizing environmental data for improving genetic analysis and genomic selection, offering a scalable approach for developing climate‐adaptive maize varieties.…”
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