Application of the Correlation Measurement Method for Reconstructing of the Velocity Profile with Spatial and Temporal Discretization in Studies of the Hydrodynamics of Turbulent F... by S. M. Dmitriev, A. E. Khrobostov, D. N. Solncev, A. A. Barinov, A. A. Chesnokov, I. A. Konovalov, M. A. Makarov, T. K. Zyryanova

“…Earlier the algorithm for determining of the correlation fl rate using a conductometric measuring system was highlighted and the error of the results obtained was estimated and the dependence of the influence of noise and the time of data collection on the reliability of results was investigated. …”
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MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS. by Paul F O'Reilly, Clive J Hoggart, Yotsawat Pomyen, Federico C F Calboli, Paul Elliott, Marjo-Riitta Jarvelin, Lachlan J M Coin

“…In particular, we demonstrate that other multivariate methods that assume the genotypes are normally distributed, such as canonical correlation analysis (CCA) and MANOVA, can have highly inflated type-1 error rates when testing case-control or non-normal continuous phenotypes, while MultiPhen produces no such inflation. …”
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Exploring the factors that promote or diminish a psychologically safe environment: a qualitative interview study with critical care staff by Stephen Brett, Eleanor Murray, Clare Leon-Villapalos, Kate Grailey

“…Team leaders can use these data to help foster a culture of openness, innovation and error prevention while minimising the risk of negative implications…”
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Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…., posing a challenge in diagnosis which is often reliant on time-consuming and error-prone visual analysis by physicians. There is a critical need for an automated, efficient, and accurate diagnostic method to improve early detection and treatment. …”
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Cloud point prediction model for polyvinyl alcohol production plants considering process dynamics by Ayami Ohkuma, Yoshihito Yamauchi, Nobuhito Yamada, Satoshi Ooyama, Hiromasa Kaneko

“…Analysis was conducted using data measured from an actual PVA manufacturing plant. …”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…H2O2 dosage, Fe2+ dosage, reaction time and pH value are selected as the main influencing factors of the COD degradation, and 30 groups of experimental data are selected to train the IPSO-BP neural network. …”
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The promise and peril of comparing fluorescence lifetime in biology revealed by simulations by Pingchuan Ma, Peter Chen, Scott Sternson, Yao Chen

“…Through simulations, we analyze the signal-to-noise ratios of fluorescence lifetime data, determining measurement uncertainty and providing necessary error bars for lifetime measurements. …”
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Current interdisciplinary approaches to the diagnosis of stress-related disorders: designing a study and developing the protocol for an experiment with the EyeLink 1000 Plus eye tr... by O.V. Zborovska, N.V. Rodina, O.E. Dorokhova, V.V. Kolesnichenko, V.F. Ambartsumian

“…Data Viewer software (SR Research) qre used for analysis of the gaze data recorded with the eye tracker. …”
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A Machine Learning Approach to Single Garnet Geothermometry and Application to Tracing the Fingerprint of Superdeep Diamonds by Qiwei Zhang, Matthew F. Hardman, Thomas Stachel, Ingrid Chinn, Michael Seller, Bruce Kjarsgaard, D. Graham Pearson

“…Traditional garnet geothermometers require co‐existing mineral data or costly trace element analysis, limiting their practical use. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

“…Traditional methods have difficulty dealing with high-dimensional nonlinear data, and the single deep learning model has the limitations of spatiotemporal feature decoupling and being a “black box”. …”
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AI bot to detect fake COVID‐19 vaccine certificate by Muhammad Arif, Shermin Shamsudheen, F Ajesh, Guojun Wang, Jianer Chen

“…So, to avoid this huge problem, this paper focuses on detecting fake vaccine certificates using a bot powered by Artificial Intelligence and neurologically powered by Deep Learning in which the following are the stages: a) Data Collection, b) Preprocessing to remove noise from the data, and convert to grayscale and normalised, c) Error level analysis, d) Texture‐based feature extraction for extracting logo, symbol and for the signature we extract Crest‐Trough parameter, and e) Classification using DenseNet201 and thereby giving the results as fake/real certificate. …”
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Evaluation of the psychometric properties of the Brazilian version of the Digital Health Literacy Instrument for individuals with heart failure by Daniele Cristina Bosco Aprile, Karina Aparecida Lopes da Costa, Renata Eloah de Lucena Ferretti-Rebustini, Vinicius Batista Santos, Mirian Ueda Yamaguchi, Camila Takáo Lopes

“…Dimensionality was determined via Parallel Analysis, and data extraction employed Robust MORGANA factor analysis. …”
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An Approach to Improving the 4DEnVar‐Initialized Deterministic Prediction Skill for Global Weather by Shujun Zhu, Bin Wang, Lin Zhang, Juanjuan Liu, Yongzhu Liu, Jiandong Gong, Lan Xu, Shiming Xu, Yong Wang, Wenyu Huang, Li Liu, Yujun He, Xiangjun Wu, Bin Zhao, Fajing Chen

“…Abstract Global deterministic numerical weather predictions (DNWPs) initialized from the ensemble mean analysis of four‐dimensional ensemble‐variational (4DEnVar) data assimilation are usually worse than those initialized by four‐dimensional variational (4DVar) data assimilation. …”
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Relationship between smoking and marital adjustment & social support among women with spouses experiencing alcohol/substance use disorders by Gozde Alkan, Duygu Altin, Gorkem Yararbas, Hur Hassoy

“…Chi-square Test was used in the analysis of categorical data. Logistic Regression Analysis was used in multivariate analysis. …”
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Development and reliability and validity testing of a medication literacy scale for medical college students by Zeng Leixiao, Sun Xiaonan, Pan Lutong, Gu Wenjing, Xiao Chang, Tang Jingqi, Dai Wenting, Kang Xiuqin, Wu Yibo

“…The item-level content validity index (I-CVI) ranged from 0.833 to 1.000 (≥ 0.78). Factor analysis of 14 items showed that KMO = 0. 852(> 0.7) and Bartlett’s spherical test p < 0.001, indicating that the data are very suitable for factor analysis. …”
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Developing an Equitable Machine Learning–Based Music Intervention for Older Adults At Risk for Alzheimer Disease: Protocol for Algorithm Development and Validation by Chelsea S Brown, Luna Dziewietin, Virginia Partridge, Jennifer Rae Myers

“…ResultsParticipant recruitment is complete for phases 1 and 2 as of June 2025. Data analysis for the results of aims 1, 2, and 3 are underway and results are expected to be published in the fall of 2025. …”
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Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction by Qingbo Wei, Nanfeng Zhang, Yuan Gao, Cheng Chen, Li Wang, Jingfeng Yang

“…First, we explore the actual passengers’ origin and destination (OD) stop from bus card (or passenger Code) payment data and biometric recognition data, with the OD as one of the main input parameters. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review provides a comprehensive analysis of the transformative role of artificial intelligence (AI) in predicting and preventing sports injuries across various disciplines. …”
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Application of Vis/NIR Spectroscopy in the Rapid and Non-Destructive Prediction of Soluble Solid Content in Milk Jujubes by Yinhai Yang, Shibang Ma, Feiyang Qi, Feiyue Wang, Hubo Xu

“…Special emphasis was placed on the impact of outlier detection and dataset partitioning strategies on modeling accuracy. A data-augmentation-based unsupervised anomaly sample elimination (DAUASE) strategy was proposed to enhance the data validity. …”
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Transporting trial results to synthetic real-world populations in order to estimate real-world effectiveness of newly marketed medicines by Walter E Haefeli, Ignacio Leiva-Escobar, Camilo Scherkl, Andreas D Meid

“…BC survival rates were very similar between observed and synthetic data (prediction error in absolute survival rates: 1.62%).Conclusion Combining G&amp;T with synthetic data may inform decision-making in situations where RWD are not (yet) available.…”
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