Study on the Meso-Energy Damage Evolution Mechanism of Single-Joint Sandstone under Uniaxial and Biaxial Compression by Gui-Lin Wang, Tian-Ci Cao, Fan Sun, Xing-Xiang Wen, Liang Zhang

“…The initiation point of jointed sandstone is significantly affected by the length of the joint, and the degradation effect of the meso-energy at the damage point and peak point weakens with the increase of the joint length. Comparing the data obtained from the PFC numerical simulation with the experimental data, it is found that the error is small, which shows the feasibility of the numerical model in this paper. …”
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SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models by Gazi Husain, Daniel Nasef, Rejath Jose, Jonathan Mayer, Molly Bekbolatova, Timothy Devine, Milan Toma

“…Class imbalance is a prevalent challenge in machine learning that arises from skewed data distributions in one class over another, causing models to prioritize the majority class and underperform on the minority classes. …”
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P-Band PolInSAR Sub-Canopy Terrain Retrieval in Tropical Forests Using Forest Height-to-Unpenetrated Depth Mapping by Chuanjun Wu, Jiali Hou, Peng Shen, Sai Wang, Gang Chen, Lu Zhang

“…Further analysis reveals that the availability of sufficient and precise forest height data significantly improves sub-canopy terrain accuracy. …”
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Development and validation of deep learning- and ensemble learning-based biological ages in the NHANES study by Yushu Huang, Xifan Yang, Qi Wang, Adila Abula, Yue Dong, Wenyuan Li, Wenyuan Li

“…Model performance was assessed using mean absolute error (MAE), while interpretability was explored using Shapley Additive exPlanation (SHAP). …”
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Validity and reliability of inertial measurement units for measuring gait kinematics in older adults across varying fall risk levels and walking speeds by Lulu Yin, Peng Chen, Junkai Xu, Yixue Gong, Yifang Zhuang, Yiming Chen, Lin Wang

“…For discrete kinematic parameters, Pearson’s correlation coefficient (r), intra-class correlation coefficients (ICCs), and root mean square error (RMSE) were computed. A two-way analysis of variance utilizing statistical parametric mapping methods was conducted to compare differences in lower extremity joint angles across fall risk categories and varying walking speeds. …”
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A novel Parrot Optimizer for robust and scalable PEMFC parameter optimization by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Gulothungan G., Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…The objective function Sum of Squared Error (SSE) for stack voltage is minimized using different algorithms for comparative analysis. …”
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Measuring nearshore waves at break point in 4D with Stereo-GoPro photogrammetry: A field comparison with multi-beam LiDAR and pressure sensors by Marion Jaud, Stéphane Bertin, Emmanuel Augereau, France Floc’h

“…Deployed concurrently with stereo-video, a 16-beam LiDAR (Light Detection and Ranging) and two pressure sensors provided independent data to assess stereo-GoPro performance. All three methods were compared with respect to the evolution of the free-surface elevation over 25 min of recording at high tide and the wave parameters derived from spectral analysis. …”
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Multimodal prediction of tyrosine kinase inhibitors therapy outcomes in advanced EGFR-mutated NSCLC patients by Xiaodong Chai, Hongxia Li, Moxuan Yang, Junyang Zeng, Genxiu Chen, Yongmeng Li, Wei Wang, Zichen Liu, Kun Li, Tongmei Zhang, Shuhao Wang, Nanying Che

“…Unimodal models were based on whole-slide images (WSIs) or clinical variables alone, while multimodal models integrated both data types. Model performance was evaluated using distinct metrics, including area under the curve (AUC), accuracy, sensitivity, and specificity for TR prediction, and mean absolute error (MAE), mean squared error (MSE), and Kaplan–Meier analysis for PFS time estimation. …”
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Advanced generalized machine learning models for predicting hydrogen–brine interfacial tension in underground hydrogen storage systems by Ahmed Farid Ibrahim

“…These top models achieved RMSE values below 1.3 mN/m and MAPE values under 1.5%, confirming their high predictive accuracy. Residual frequency analysis and APRE results further confirmed these ensemble models’ low bias and high reliability, with error distributions centered near zero. …”
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Optimizing Bundle Block Adjustment for High-Overlap Small-Format Multi-Head Camera Systems by T. Bannakulpiphat, T. Bannakulpiphat, W. Karel, C. Ressl, N. Pfeifer

“…In terms of the image ray intersection angle, the maximum intersection angles per tie point are well below the theoretical maximum, indicating a moderate exploitation of the accuracy potential offered by oblique images. Furthermore, analysis of the RMS error suggests that by adding the oblique images to the nadir image block and removing the 2-fold tie points, vertical accuracy improved considerably, while planimetric accuracy remained consistent.…”
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Real Time Kinematic (RTK) heave as a replacement of Motion Reference Unit (MRU) heave in hydrographic surveying works by Mohammed Elmeligy, Saad Mesbah, Mohamed Mohasseb

“…<p align="left">Heave is one of the major contributors to errors in water depth measurements. Motion Reference Unit (MRU) measures the heave signal with high-level accuracy as well as other ship motions.  …”
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Clinical Utility Findings of a Transcriptomic Psoriasis Biologic Test Demonstrate Altered Physician Prescribing Behavior and Improved Patient Outcomes by Bruce E. Strober, Michael Bukhalo, April W. Armstrong, David Pariser, Leon Kircik, Brian Johnson, Paul Montgomery, Tobin J. Dickerson

“…Additional comparisons were made to a previously collected data set identical to the Mind.Px-uninformed arm (N = 429). …”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…In a second step, the data in different intervals are categorized according to the hydraulic and sediment characteristics using trial and error. …”
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Explaining and Analyzing the Effect of Brand Value Components on Medical Tourism Development: A Case Study of Ahvaz Metropolis by Majid Goodarzi

“…Materials & MethodsThis applied study utilized a descriptive-analytical research method combined with a quantitative-qualitative research design for data collection and analysis. The qualitative component involved content analysis of the literature and unstructured interviews with experts to identify the key factors contributing to the unique value of the medical tourism brand. …”
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Anti-inflammatory effect of chamomile from randomized clinical trials: a systematic review and meta-analyses by Jason Valmy, Stephanie Greenfield, Satoru Shindo, Toshihisa Kawai, Jorge Cervantes, Bo-Young Hong

“…The mean difference, confidence intervals, and standard error from the extracted means and standard deviations for relevant outcomes were calculated. …”
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Primordial gravitational waves as probe of dark matter in interferometer missions: Fisher forecast and MCMC by Anish Ghoshal, Debarun Paul, Supratik Pal

“…Finally, utilizing mock data for each GW detector, we perform MCMC analysis to find out the combined constraints on the various microphysics parameters. …”
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Fault Tolerant Spectral/Spatial Optical Code Division Multiple Access Passive Optical Network by Rahat Ullah, Sibghat Ullah, Jianxin Ren, Yaya Mao, Zhipeng Qi, Jamil Hussain, Feng Wang, Faheem Khan, Waqas Ahmed Imtiaz

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Wide‐Field Bond Quality Evaluation Using Frequency Domain Thermoreflectance with Deep Neural Network Feature Reconstruction by Amun Jarzembski, Siddharth Nair, Wyatt Hodges, Matthew Jordan, Anthony McDonald, Logan Antiporda, Greg W. Pickrell, Timothy Walsh, Fabio Semperlotti, Jason Neely, Luke Yates

“…Utility of noisy higher frequency FDTR phase maps, i.e., near the computationally predicted sensing depth limit, results in an average prediction error of 11%. Taken together, FDTR with neural network‐based analysis demonstrates subsurface bond monitoring at length scales relevant for heterogeneously integrated microelectronics.…”
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Translation and cultural adaption of MacLeod Clark professional identity scale among Chinese therapy students. by Xiaoyi Shu, Chun Feng, Chak-Lam Ip, Xin Zhang, Nan Yang, Shibo Li, Jia Han, Weibing Wu, Alec Knight

“…Model fit was evaluated through confirmatory factor analysis (CFA) using the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Standardized Root Mean Square Residual (SRMR) and Root Mean Square of Error of Approximation (RMSEA). …”
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Chromolaena odorata and male fertility: evidence from the testes and epididymis of Wistar rats by Eguono Raphael Uwejigho, Felix O Enemali, Victor Oghenekparobo Emojevwe, Jesuyomike Marvellous Oluremi, Israel Olorunsola Adeyomoye

“…GraphPad Prism version 10.2 was used to analyze the data. Results were described as the mean ± standard error of means (S.E.M.). …”
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