KAS: A Kernel Alignment-Based Sampling Probability Approach for Medical Data Valuation by Mingming Jiang, Qinghe Liu, Hongli Xu, Wenting Liao, Rilige Wu, Longji Li, Yawei Zhao, Kunlun He

“…This paper introduces Kernel-Aligned Sampling (KAS), a dual-mechanism framework that innovates through: 1) A kernel-aligned sampling probability strategy that aligns valuation distributions with feature-space similarity to stabilize Shapley approximations and resolve the speed-accuracy dilemma; 2) A prior-guided data refinement mechanism that leverages domain knowledge to implicitly decompose data into signal and noise components, mitigating misattribution of noisy or incomplete data as low-value; 3) Experiments on 10 datasets and 4 baselines demonstrate that KAS outperforms baseline methods by 5.7%-8.8% in high-value data ablation tests and achieves an average improvement of 4.3% in noisy data detection accuracy compared to the second-best method.…”
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A probabilistic approach to visualize the effect of missing data on PCA in ancient human genomics by Susanne Zabel, Samira Breitling, Cosimo Posth, Kay Nieselt

“…We therefore make our probabilistic model available through TrustPCA, a user-friendly web tool that provides researchers with uncertainty estimates alongside PCA projections, facilitating data exploration in ancient human genomic studies and enhancing transparency in data quality reporting.…”
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Spatiotemporal Variability of Hyporheic Flow in a Losing River Section by N. Simon, O. Bour, J. Heyman, N. Lavenant, C. Petton, A. Crave

“…This is an important result for calibrating models assessing hyporheic processes, in which the hydraulic conductivity distribution is generally assumed. …”
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On the Numerical Investigation of Two-Phase Evaporative Spray Cooling Technology for Data Centre Applications by Ning Gao, Syed Mughees Ali, Tim Persoons

“…The model was validated against the available experimental data from the literature. …”
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Spatiotemporal Distribution and Heritage Corridor Construction of Vernacular Architectural Heritage in the Cao’e River, Jiaojiang River, and Oujiang River Basin by Liwen Jiang, Jun Cai, Yilun Fan

“…Utilizing 570 identified heritage sites, this study employed ArcGIS spatial analysis (Kernel Density Estimation, Nearest Neighbor Index), correlation analysis with DEM data, and suitability analysis (Minimum Cumulative Resistance model, Gravity Model) to systematically examine spatial distribution characteristics, their evolution, and relationships with the geographical environment and historical context. …”
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Real‐Time Monitoring of Ionosphere VTEC Using Multi‐GNSS Carrier‐Phase Observations and B‐Splines by Eren Erdogan, Michael Schmidt, Andreas Goss, Barbara Görres, Florian Seitz

“…Global Navigation Satellite Systems (GNSS) is a crucial technology for ionosphere modeling due to its worldwide distributed receivers, high temporal resolution, and low latency data dissemination capability. …”
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Rainfall-induced Landslide Susceptibility Prediction Considering Spatial Heterogeneity by ZHANG Xingfu, JIANG Yuanjun, ABI Erdi

“…The models were validated using real-world data from Tongjiang County, a region prone to landslides. …”
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Development of a comprehensive model to predict stock prices in the stock market with an interpretive structural modeling approach by Shiva Rezaeyan, Mohammad Taleghani, Azita Sherej Sharifi

“…Due to their expertise in the field, they were considered as expert investors.To begin, a questionnaire comprising 54 initial criteria related to stock price prediction was distributed to the experts. The experts were asked to rate the importance of each criterion on a Likert scale ranging from very low (1) to very high (5). …”
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ANALYSIS OF REGULARITIES IN DISTRIBUTION OF EARTHQUAKES BY FOCAL DISPLACEMENT IN THE KURIL-OKHOTSK REGION BEFORE THE CATASTROPHIC SIMUSHIR EARTHQUAKE OF 15 NOVEMBER 2006 by Timofei K. Zlobin, Anastasia Yu. Polets

“…It is established that the catastrophic earthquake was prepared on a site characterized by increased relative effective pressures which is located at the border of the low-pressure area (Figure 1).Based on data from GlobalCMT (Harvard), earthquake focal mechanisms were reconstructed, and tectonic stresses, the seismotectonic setting and the earthquakes distribution pattern were studied for analysis of the field of stresses in the region before to the Simushir earthquake (Figures 2 and 3; Table 1).Five areas of various types of movement were determined. …”
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Socioeconomic inequality and determinants of low birth weight in Kenya: a multilevel analysis using 2022 demographic and health survey by Gizachew Ambaw Kassie, Amanuel Yosef Gebrekidan, Getachew Asmare Adella, Beshada Zerfu Woldegeorgis, Kirubel Eshetu Haile, Alemu Workineh, Yordanos Sisay Asgedom

“…Abstract Background Socioeconomic inequality remains a critical determinant of health outcomes worldwide, particularly in low- and middle-income countries. In Kenya, one of the most pressing maternal and child health challenges is the high prevalence of low birth weight (LBW), which is a key indicator of infant health and a strong predictor of neonatal and child morbidity and mortality. …”
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Mitigating the impact of fast charging on distribution grids using vehicle‐to‐vehicle power transfer: A Paris city case study by Yacine Sehimi, Khaled Almaksour, Emilia Suomalainen, Benoit Robyns

“…Abstract The deployment of DC fast charging stations (DCFCSs) in cities requires costly reinforcement of low‐voltage (LV) distribution grids, due to the high power required. …”
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Quantifying the national responsibilities for the conservation of transboundary migratory species Siberian ibex by Jingwen Xu, Yingying Zhuo, Sabina Koirala, Muhammad Zafar Khan, Shamshidin Abduriyim, Chagsaldulam Odonjavkhlan, Vladislav Vinogradov, Ruidong Zhang, Baolin Zhang, Kathreen Ruckstuhl, António Alves da Silva, Joana Alves, Alice Hughes, Jiajia Liu, Muyang Wang, Weikang Yang

“…Based on intensive field surveys from 2010 to 2023 and systematic data compilation from multilingual literature, we developed the first quantitative framework for assessing national conservation responsibilities for Siberian ibex (Capra sibirica) across its 11-country distribution. …”
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Single-Scene SAR Image Data Augmentation Based on SBR and GAN for Target Recognition by Shangchen Feng, Xikai Fu, Yanlin Feng, Xiaolei Lv

“…On the one hand, electromagnetic computation simulations provide high amplitude accuracy but are inefficient for large-scale datasets due to their complex computations and physical models. On the other hand, ray tracing simulations offer high geometric accuracy and computational efficiency but struggle with low amplitude correctness, hindering accurate numerical feature extraction. …”
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Analysing cold-climate urban heat islands using personal weather station data by Jonathon Taylor, Charles H. Simpson, Jaana Vanhatalo, Hasan Sohail, Oscar Brousse, Clare Heaviside

“…Practice relevance Urban climate research typically relies on sparse networks of official or researcher-deployed weather stations, interpolations thereof, land-surface temperature observations or urban climate models. However, PWS provide an additional, emerging source of data. …”
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Characteristics of Supercritical CO₂ Non-Mixed Phase Replacement in Intraformational Inhomogeneous Low-Permeability Reservoirs by Mingxi Liu, Kaoping Song, Longxin Wang, Hong Fu, Tianhao Wang

“…Then, a two-layer inhomogeneous low-permeability microscopic model is designed to investigate the model’s replacement and pore throat mobilization characteristics under the combined influence of rhythmites, gravity, the injection rate, etc. …”
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Pilot protection method based on K-L divergence for offshore wind power low-frequency cable feeder line by Shuping Gao, Yongning Zhou, Chenqing Wang, Jinyu Zhou, Zhihui Zhao, Guobing Song

“…Finally, the offshore wind power low-frequency transmission system model is built in PSCAD/EMTDC to output fault data, which is processed by Matlab to verify the protection method. …”
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Sociodemographic and regional differences in dietary climate impact: findings from Finnish population surveys by Laura Sares-Jäske, Tommi Härkänen, Heli Tapanainen, Merja Saarinen, Jani Salminen, Liisa Valsta, Laura Paalanen

“…Statistical analyses for maps were based on 10×10 km square data and on spatial Besag-York-Mollie model. Linear regression model was used to study differences between sociodemographic groups.Results and discussionMen had higher absolute and energy-adjusted dietary climate impacts than women did. …”
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Enhancing Digital Twin Fidelity Through Low-Discrepancy Sequence and Hilbert Curve-Driven Point Cloud Down-Sampling by Yuening Ma, Liang Guo, Min Li

“…We propose a novel down-sampling approach that combines Low-Discrepancy Sequences (LDS) with Hilbert curve ordering to create a method that preserves both global distribution characteristics and local geometric features. …”
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A Bayesian quantile regression approach for determining risk factors of low birth weight of under five children in Cambodia by Md. Moyazzem Hossain

“…The study included a weighted sample of 4701 children from the CDHS 2021–22 data. Multivariable simultaneous quantile regression models in a Bayesian setting were used to determine the factors associated with Cambodian children’s low birth weight. …”
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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Key acquisition parameters were optimized via forward modeling, including transmitter-receiver distance (*r* = 15 km), current (I = 130 A), and electrode spacing (AB = 3,000 m, MN = 100 m).ResultsField data revealed distinct resistivity reduction zones (1,000→25 Ωm) spatially correlated with active fracturing wells, demonstrating WFEM’s ability to detect fluid-induced anomalies (Δρ up to 30%). …”
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