Inventory of Galilean Transformation of uniform linear motion in position-time graphs by E. B. Merki, S. I. Hofer, A. Vaterlaus, A. Lichtenberger

“…A total of 532 upper secondary school students in the advanced track participated in the multistage development process. We evaluated the psychometric properties via classical test theory and item response theory. …”
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ExAutoGP: Enhancing Genomic Prediction Stability and Interpretability with Automated Machine Learning and SHAP by Yao Rao, Lilian Zhang, Lutao Gao, Shuran Wang, Linnan Yang

“…In addition, the SHAP method not only effectively reveals the decision-making process of ExAutoGP and enhances its interpretability, but also identifies genetic markers closely related to the traits. …”
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Prediction Model for the Chloride Ion Permeability Resistance of Recycled Aggregate Concrete Based on Machine Learning by Pengfei Gao, Yuanyuan Song, Jian Wang, Zhiyong Yang, Kai Wang, Yongyu Yuan

“…Based on the XGBoost model, the LIME method was adopted to solve the interpretability problem in the prediction process. The importance ranking of IFs on the electric flux was <i>r</i> > <i>t</i> > <i>f</i> > <i>T</i> > <i>L</i> > <i>YN</i>. …”
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Machine learning with label-free Raman microscopy to investigate ferroptosis in comparison with apoptosis and necroptosis by Joost Verduijn, Eva Degroote, André G. Skirtach

“…Abstract Human and animal health rely on balancing cell division and cell death to maintain normal homeostasis. This process is accomplished by regulated cell death (RCD), whose imbalance can lead to disease. …”
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The role of cytokines in the pathogenesis of infectious complications in surgical treatment of obstructive jaundice of gallstone origin by O. V. Smirnova, N. G. Elmanova

“…In the pathogenesis of obstructive jaundice, a local inflammatory process plays an essential role. This is confirmed by statistically significant changes in the studied cytokines. …”
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Body surface gastric mapping to determine gastric motility patterns associated with delayed gastric emptying after pancreaticoduodenectomy. Gastric Electric Mapping after Pancreato... by Mike Jones, Sanjay Pandanaboyana, Keno Mentor, Jade Lembo, Samantha Carswell

“…Findings will be published in peer-reviewed journals and presented at national and international conferences.Trial registration number This study will automatically be registered with the ISRCTN registry by the HRA as part of the ethics approval process.…”
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AI‐Based Digital Rocks Augmentation and Assessment Metrics by Lei Liu, Bernard Chang, Maša Prodanović, Michael J. Pyrcz

“…Compared to most traditional dimensionality reduction methods that process images into a flattened vector, we propose topological image analysis for dimensionality reduction while preserving the essential geometric and topological features of the high‐dimensional data. …”
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A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles by Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, Aníbal Zaldívar-Colado, Alan Ramírez-Noriega

“…For estimating SoH, prevalent data-driven techniques include support vector regression (SVR) and Gaussian process regression (GPR), alongside hybrid models merging machine learning with conventional estimation techniques to heighten predictive accuracy. …”
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Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…In addition, this feature selection scheme reveals the role of some miRNA compounds in the process of fruit response to stress during storage. …”
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Positive effects of bFGF modified rat amniotic epithelial cells transplantation on transected rat optic nerve. by Jia-Xin Xie, Yu Feng, Jian-Min Yuan, Zhen-Dong You, Hai-Yan Lin, Chang-Lin Lu, Jia-Jun Xu

“…<h4>Conclusions</h4>AECs modified with bFGF could reduce RGCs loss and promote expression of GAP-43 in the rat optic nerve transected model, facilitating the process of neural restoration following injury.…”
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The role of the Republic of Kazakhstan in geopolitical transformation in the framework of the «Eurasian project» by M. M. Nurtazin

“…In the process of researching the geopolitical transformation of the post-Soviet space as a «Eurasian project», the author uses the method of comparative analysis of the official foreign policy documents of the founding States of the Eurasian economic union. …”
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4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

“…Whereas insufficient UV light and vitamin D can retard healing process, hence this experiment focuses on machine learning design in which pattern recognition and technology supports patient safety as our primary goal. …”
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19~21 GHz GaAs high linearity power amplifier MMIC by Liu Xiaoyu, Han Chenghao, Ruan Wenwu, Guo Runnan, Liu Ling, Xu Xindong, Hou Zewen, Zhuang Yuan, Yu Xuming, Tao Hongqi

“…To address the voltage sensitivity issue of the cold mode, an on-chip active voltage stabilization and temperature compensation bias circuit is employed to expand the dynamic range, reduce large dynamic distortion, and mitigate the deterioration of linearity caused by process variations and external discreteness. The room temperature measured results demonstrate that the achieved saturated output power of 22.3~22.8 dBm with 35.3%~36.5% saturated power-added efficiency (PAE) between 19 GHz and 21 GHz. …”
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Estimated ultimate recovery prediction of shale gas wells based on stacked integrated learning algorithm by Min Pang, Zheyuan Zhang, Zhaoming Zhou, Wendi Zhou, Qiong Li

“…Conventional methods often lack sufficient transparency and clarity in the calculation process. As a result, machine learning (ML) algorithms have proven to be an effective alternative. …”
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Pesticide Residue Detection in Broccoli Based on Hyperspectral Technology and Convolutional Neural Network by Dan WANG, Yuqing LUAN, Zuojun TAN, Wei WEI

“…The results indicated that the combination of hyperspectral imaging technology and deep learning algorithms as 1D-CNN not only simplified the recognition process of pesticide residues in broccoli, but also improved recognition efficiency and accuracy.…”
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NNG-Based Secure Approximate k-Nearest Neighbor Query for Large Language Models by Heng Zhou, Yuchao Wang, Yi Qiao, Jin Huang

“…Furthermore, we construct a secure index table that enables complete candidate set retrieval through a single query, ensuring our solution completes the search process in one interaction while minimizing communication costs. …”
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Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation by Sara Asadi, Patricia Jimeno-Sáez, Adrián López-Ballesteros, Javier Senent-Aparicio

“…This study conducts a comprehensive evaluation of the Soil and Water Assessment Tool (SWAT+), support vector regression (SVR), feed forward neural network (FFNN), and long short-term memory (LSTM) models in simulating the rainfall-runoff process at four gauging stations within the THRB. …”
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Discretization-independent surrogate modeling of physical fields around variable geometries using coordinate-based networks by James Duvall, Karthik Duraisamy

“…Both methods exhibit promising potential as viable options for surrogate modeling, being able to process snapshots of data that correspond to different mesh topologies.…”
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Efficient feature selection based on Gower distance for breast cancer diagnosis by Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary

“…This normalization prevents features with larger scales from overshadowing those with smaller scales. This process facilitates the identification of features that exhibit high harmony and are the most relevant for classification. …”
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Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…Hence, machine learning (ML), with its ability to process high-dimensional data and identify complex patterns, offers a promising patient outcome. …”
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