Alpha-nucleus interaction potential by V. Yu. Denisov, A. A. Khudenko

“…The spins and the parities of parent and daughter nuclei, the quadrupole and hexadecapole deformations of daughter nuclei are taken into account at evaluation of the alpha-decay half-lives. The alpha-nucleus interaction potential is obtained by fitting experimental data for both the alpha-decay half-lives of 344 nuclei and the alpha-capture cross-sections of 40Ca, 44Ca, 59Co, 208Pb and 209Bi.…”
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WearMoCap: multimodal pose tracking for ubiquitous robot control using a smartwatch by Fabian C. Weigend, Neelesh Kumar, Oya Aran, Heni Ben Amor

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Design and evaluation of children’s education interactive learning system based on human computer interaction technology by Mengru Li, Yang Lv, Yongming Pu, Min Wu

“…The study involves children in grades 1–6, and data on learning effectiveness before and after using the system are collected through pre-experiments and formal experiments. …”
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Information Security Protection of Internet of Energy Using Ensemble Public Key Algorithm under Big Data by Baode Lin, Zhenwei Geng, Fengrong Yu

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Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets by Ryan Marks, Alastair Clarke, Carol A Featherston, Rhys Pullin

“…A comparable numerical data set was also produced using the local interaction simulation approach and optimized using the same methodology. …”
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Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data. by Xu Shi, Xiao Wang, Lu Jin, Leena Halakivi-Clarke, Robert Clarke, Andrew F Neuwald, Jianhua Xuan

“…Extensive studies using simulation and real data demonstrate that BayesIso can effectively detect isoforms of less differentially expressed and differential transcripts for genes with multiple isoforms. …”
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The Use of Large Language Models for the Analysis of Professional Competencies in the Regional Labor Market of the Republic of Belarus by I. N. Kalinouskaya

“…An integrated approach to the analysis of professional competencies in the Belarusian labor market using large language models is presented. A methodology is proposed that includes data collection using web scra­ pers, preliminary processing using a multi-level cleaning system and normalization of text information, classification and analysis of competencies based on interaction with large language models. …”
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An explainable multi-task deep learning framework for crash severity prediction using multi-source data by Yuanyuan Xiao, Zongtao Duan

“…It provides granular insights into contributing factors through SHAP-based feature importance rankings and interaction analysis. Validated using four-year (2018–2021) multi-source traffic data from China, the framework demonstrates significant improvements in prediction accuracy compared to baselines. …”
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Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data by Ísak Valsson, Matthew T. Warren, Charlotte M. Deane, Aniket Magarkar, Garrett M. Morris, Philip C. Biggin

“…Moreover, we demonstrate how leveraging augmented data (generated using template-based modelling or molecular docking) can significantly improve binding affinity prediction correlation and ranking on the FEP benchmark (weighted mean PCC and Kendall’s τ increases from 0.41 and 0.26 to 0.59 and 0.42). …”
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Investigating the interplay between depression and pregnancy loss: a cross-sectional analysis using NHANES data by Meng Hu, Yongchong Wang, Wen Zhu, Xiaozhen Chen

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Comparison of Industry 4.0, Industry 5.0, and related political initiatives using bibliometric data by Sandra Ramos-Gutiérrez, Isabel García-Gutiérrez

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Collaborative Surveillance: Using a Minimum Set of Key Data Parameters for One Health Participatory Surveillance by Mark Smolinski, Nomita Divi, Onicio Leal Neto

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Multidimensional bioinformatics analysis of chondrosarcoma subtypes and TGF-β signaling networks using big data approaches by Shengke Li, Junteng Chen, Fuping He, Maosheng Wang, Jun Liu, Hui Xie

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Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data by N. A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

“…The training growth rates were used to develop a secondary gamma model, followed by validation in testing data. …”
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Falwa: Python Package to Implement Finite‐Amplitude Local Wave Activity Diagnostics on Climate Data by Clare S. Y. Huang, Christopher Polster, Noboru Nakamura

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Non-Linear Thinking Processes in Digital Humanities by Marcello Costa

“…The platform uses a node-based UI to manage, display data, and compare references. …”
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The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review by Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka, Renata Pilarczyk, Piotr Sablik

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Protocol to identify regulatory modules in Parkinson’s disease progression using miRNA data and Boolean modeling by Ahmed Abdelmonem Hemedan, Venkata Satagopam, Reinhard Schneider, Marek Ostaszewski

“…Summary: Regulatory modules are molecules that interact functionally, driving disease processes. Here, we present a protocol for identifying regulatory modules in Parkinson’s disease (PD) using cohort-specific microRNA (miRNA) data and Boolean modeling. …”
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Assessing Teaching Effectiveness in Journalism and Communication: A Data-Driven Perspective Using HyperSoft Set by Xiaoxi Zhang

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Using Reinforcer Sensitivity Theory to predict difficulties in emotional regulation: Data from students in Mexico and the US by Marco A. Pulido, Camila Ballesteros, Alondra Becerril

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