Impact of Depressurizing Boreholes on Energy Dissipation in Deep Roadway by Meng Wang, Zhixue Li, Yalong Xu, Zhenhua Li, Ruifu Yuan, Hongchao Zhao, Guodong Li

“…The equations of elastic energy and dissipated energy of rock cell grid were derived based on the energy principle and finite-difference algorithm, which was implemented into FLAC3D software by the FISH language. …”
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Externally bonded reinforcement side extended (EBRSE) technique to postpone debonding of FRP laminates in strengthened concrete elements by Mehdi Aghabagloo, Laura Carreras, Cristina Barris, Alba Codina, Marta Baena

“…Additionally, a numerical approach was applied, combining the finite difference method with a metaheuristic optimization algorithm, to derive the bond-slip law governing the constitutive behavior of both systems. …”
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A Cross-Project Defect Prediction Model Based on Deep Learning With Self-Attention by Wanzhi Wen, Ruinian Zhang, Chuyue Wang, Chenqiang Shen, Meng Yu, Suchuan Zhang, Xinxin Gao

“…Cross-project defect prediction technique is a hot topic in the field of software defect research because of the huge difference in data distribution between source project and target project. …”
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Association between walking speed and age in healthy, free-living individuals using mobile accelerometry--a cross-sectional study. by Michaela Schimpl, Carmel Moore, Christian Lederer, Anneke Neuhaus, Jennifer Sambrook, John Danesh, Willem Ouwehand, Martin Daumer

“…<h4>Objective</h4>To evaluate the relationship of gait parameters, and demographic and physical characteristics in healthy men and women.…”
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Surface ozone trend variability across the United States and the impact of heat waves (1990–2023) by K.-L. Chang, K.-L. Chang, B. C. McDonald, C. Harkins, C. Harkins, O. R. Cooper

“…A change point detection algorithm is applied to evaluate seasonal trends at various percentiles. …”
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Methodology for Occupant Head-Neck Injury Testing in Under-Body Blast Impact Based on Virtual-Real Fusion by Xinge Si, Changan Di, Peng Peng, Cong Xu

“…The high-biofidelity dummy used to evaluate occupant protection under blast conditions is often costly and vulnerable. …”
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Pupil light reflex evoked by light-emitting diode and computer screen: Methodology and association with need for recovery in daily life. by Yang Wang, Adriana A Zekveld, Dorothea Wendt, Thomas Lunner, Graham Naylor, Sophia E Kramer

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Application of Energy Dispersive X-ray Fluorescence Spectroscopy in Analysis of Heavy Metals in Soil: A Review by Aosong JIANG, Longhua WU, Zhu LI

“…Therefore, the current mainstream focus is on combining the advantages of different algorithms for the preprocessing analysis of ED-XRF spectroscopy and the establishment of quantitative analysis models to improve the accuracy of ED-XRF detection. …”
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MRI-guided clustering of patients with mild dementia due to Alzheimer's disease using self-organizing maps by Kellen K. Petersen, Bhargav T. Nallapu, Richard B. Lipton, Ellen Grober, Ali Ezzati

“…Volumetric MRI differences were compared among clusters. Demographics as well as baseline and longitudinal cognitive performance metrics were used to evaluate cluster characteristics. …”
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Retracted: A Novel Radio Frequency Identification Collision Resolution Method Based on Statistical Learning by Zhong Dongbo

“…Unlike traditional algorithms, the proposed method does not require prior knowledge of the number of clusters and does not need to constantly iterate. …”
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Fundoscopy as a diagnostic biomarker in idiopathic normal pressure hydrocephalus: a pilot study by Sune Munthe, Frantz Rom Poulsen, Mathias Just Nortvig, Niclas Lynge Eriksen, Mikkel C Schou Andersen, Emma Tubæk Nielsen, Christian Bonde Pedersen

“…In addition, the mean difference in shunt response was evaluated.Results A significantly lower mean A/V ratio was found in the iNPH group compared with the non-iNPH group (p value: 0.02). …”
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Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…This research represents the first comprehensive application of ML techniques to WDE incubation period prediction, establishing a methodological framework that integrates experimental data, statistical analysis, and advanced ML algorithms. Unlike previous approaches, our methodology (1) systematically evaluates multiple ML algorithms and transformation techniques for WDE prediction, (2) provides quantitative assessment of feature importance that aligns with physical understanding of erosion mechanisms, (3) demonstrates superior predictive accuracy compared to traditional empirical models, and (4) offers a generalizable approach applicable across different metallic materials and impact conditions. …”
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Determination of First Arrival Wave Type of Microseismic Signals and Approach to Wave Velocity Correction by GuangDong Song, JiuLong Cheng, BinXin Hu, Feng Zhu, Hua Zhang, TongYu Liu, Tong Sun, Kenneth T. V. Grattan

“…Further, a wave velocity correction criterion has also been proposed, where the velocity correction of the S wave or the R wave can be realized by combining the spatial coordinate information on the blasting point and an algorithm representing the signal cross-correlation to arrival time difference is used.…”
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Heat Loss Determination of District Heating Pipelines. A Comparison of Numerical and Analytical Methods by Wieland Aaron, Dollhopf Stefan, Weidlich Ingo, Langroudi Pakdad Pourbozorgi

“…Therefore, it remains essential to evaluate the performance of different models.…”
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IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks by Yu Bai, Li Li, Shanqing Zhang, Jianfeng Lu, Ting Luo

“…The robustness of the algorithms is also better than the existing state-of-the-art image watermarking algorithms used in the performance evaluation comparison.…”
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VisME: Visual microsaccades explorer by Tanja Munz, Lewis L. Chuang, Sebastian Pannasch, Daniel Weiskopf

“…Even when the same algorithms are employed, different parameter values might be adopted across different studies. …”
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Disrupted fetal carbohydrate metabolism in children with autism spectrum disorder by Serena B. Gumusoglu, Brandon M. Schickling, Donna A. Santillan, Lynn M. Teesch, Mark K. Santillan

“…Untargeted principle components analysis of all metabolites did not reveal group differences, while targeted biomarker assessment (using only Fructose 6-phosphate, D-Mannose, and D-Fructose) by a Random Forest algorithm generated an area under the curve (AUC) = 0.766 (95% CI: 0.612–0.896) for ASD prediction. …”
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Effective Prediction on Time Series Data Using Deep Learning: An Incisive Review by Rupa Rajakumari, Ujwal Ambadas Lanjewar

“…Time-series evaluation explores the way in which data differs over time and optimal prediction could determine the pathway wherein the data seems to be changing. …”
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Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks. by Daniel Walke, Daniel Steinbach, Sebastian Gibb, Thorsten Kaiser, Gunter Saake, Paul C Ahrens, David Broneske, Robert Heyer

“…Finally, we discovered that feature slope and importance highly differ between trained algorithms (e.g., XGBoost and GNN) on the same data basis.…”
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Computed Tomography‐Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases by Chaoqun Zhou, Hao Xin, Lihua Qian, Yong Zhang, Jing Wang, Junpeng Luo

“…An unsupervised K‐means clustering algorithm classified the tumors into two clusters based on their habitat characteristics. …”
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