Modifying Covariance Localization to Mitigate Sampling Errors from the Ensemble Data Assimilation by Mingheng Chang, Hongchao Zuo, Jikai Duan

“…To verify if the proposed method can effectively mitigate the sampling errors, numerical experiments are conducted on the Lorenz-96 model and large-scale model (SPEEDY model). …”
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Line Sampling with Probability Proportional to The Geometrical Average Area Per Tree in The Stand by Sylvio Péllico Netto, Alexandre Behling, Ataides Marinheski Filho, Ângelo Augusto Ebling, Claiton Nardini

“…Abstract The study proposes a sampling method, termed the probability proportional to the average geometric area of occupation, method in which a set of trees along a row is selected as the sampling unit with a probability proportional to the geometrical average area per tree - PPGA. …”
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Multi-behavior aware recommendation with joint contrastive learning and reinforced negative sampling by Yujia Du, Zhengtao Yu, Hongbin Wang

“…Therefore, efficiently integrating multidimensional interaction data is crucial to improve the performance of recommendation systems. The existing methods still face challenges in terms of modeling behavioral dependencies, handling skewed data distributions, and optimizing the quality of negative samples. …”
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System Modeling and Simulation of TianWen-2 Sampling on an Asteroid Regolith Surface by He Zhang, Dongming Ge, Runran Deng, Cuicui Liu, Fan Guo, Yingqiao Xu, Fuming Zeng, Jinchang Hu, Yuanjie Zou, Weiwei Gong, Wei E

“…Parametric comparisons with test data from microgravity low-speed intrusion drop-tower experiments are implemented to calibrate and verify the physical parameters of the discrete element method simulation model. …”
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The Effect of SiC Nanoparticles’ content on Mechanical Properties and Wear Behavior of A380 Aluminum Alloy Nanocomposite Produced by Powder Metallurgy Method by A. Mohammadi, M. Alipour

“…The wear resistance was evaluated by pin-on-disk method. The greatest hardness of the samples was related to the aluminum alloy containing 0.5 wt.% SiC nanoparticles. …”
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DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

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A new gas/supercritical fluid (SCF) diffusivity measurement method for CO2 saturated polymer systems using a dielectric property by S. X. Yao, P. C. Lee

“…The CO2 infused films were removed from the chamber for gas desorption experiments. The capacitance of the samples were recorded with an Inductance, Capacitance and Resistance (LCR) meter. …”
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Detection of hidden defects of thermal protection of buildings and determination of some thermal properties of structural building materials by Non-destructive Thermal Imaging meth... by D. F. Karpov, M. V. Pavlov, A. G. Gudkov

“…The fundamental laws of the theory of heat transfer, thermal nondestructive testing, infrared and technical diagnostics, the current domestic regulatory and technical and regulatory documentation, field experiments on real objects and laboratory samples.Result. …”
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Investigation of the effects of 3D printing parameters on mechanical tests of PLA parts produced by MEX 3D printing using Taguchi method by Özgür Verim, Omar Saeed, Mohamed Hamdy Eid, Samy F. Mahmoud, Dalia I. Saleh, Abdallah Elshawadfy Elwakeel

“…Abstract With the widespread use of the Material Extrusion method in the 3D printing industry, it has become important to determine the optimum printing parameters to improve the mechanical characteristics of Polylactic Acid material according to the place of use. …”
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A Novel Magnetic Flux Leakage Method Incorporating TMR Sensors for Detecting Zinc Dross Defects on the Surface of Hot-Dip Galvanized Sheets by Bo Wang, San Zhang, Jie Wang, Liqin Jing, Feilong Mao

“…The experimental setup was established, and the x-axis direction (sample movement direction) was determined as the best measurement axis by vector analysis through experiments and numerical simulation. …”
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Optimizing Bioceramic Composites for Hip Joint Replacements using SPS Method: Investigating the Effects of Titanium Diboride (TiB2) on Tribological Properties by Pavankumar Ravikumar, Goud Mallesh, S. Suresh Kumar, H. S. Manjunatha

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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

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Selective Multistart Optimization Based on Adaptive Latin Hypercube Sampling and Interval Enclosures by Ioannis A. Nikas, Vasileios P. Georgopoulos, Vasileios C. Loukopoulos

“…Unlike conventional multistart methods, which assume uniform sampling without quantifying spatial coverage, the proposed approach constructs interval enclosures around each sample point, enabling explicit estimation and control of the explored search space. …”
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Scalable Noise Characterization of Syndrome-Extraction Circuits with Averaged Circuit Eigenvalue Sampling by Evan T. Hockings, Andrew C. Doherty, Robin Harper

“…Our protocol builds upon averaged circuit eigenvalue sampling (ACES), a framework for noise-characterization experiments that simultaneously estimates the Pauli-error probabilities of all gates in a Clifford circuit and captures averaged spatial correlations between gates implemented simultaneously in the layers of the circuit. …”
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Evaluating Factors Affecting Knowledge Sharing Among Health Care Professionals in the Medical Imaging Departments of 2 Cancer Centers: Concurrent Mixed Methods Study by Maryam Almashmoum, James Cunningham, John Ainsworth

“…ObjectiveWe aimed to assess the level of motivation, identify current knowledge-sharing tools, and evaluate factors affecting knowledge sharing in the medical imaging departments of 2 cancer centers, The Christie, United Kingdom, and the Kuwait Cancer Control Center (KCCC). MethodsA concurrent mixed methods study was conducted through nonprobability sampling techniques between February 1, 2023, and July 30, 2023. …”
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Construction of GAN‐RES and Its Application to Small Sample Fusulinid Fossil Recognition by Jiahui Xu, Yang Lu, Xu Xu

“…ABSTRACT Traditional fossil identification relies on the rich experience and knowledge of paleontologists, and existing intelligent identification methods mainly rely on deep learning to train on a large number of fossil graphic samples to achieve a high degree of precision. …”
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Psychological resources for academic buoyancy: the roles of growth mindset and emotional intelligence in Chinese university students by Ran Liu

“…Background/introductionWhile psychological resources like growth mindset (belief in malleable abilities) and trait emotional intelligence (EI; self-perceived emotional capabilities) are individually important in higher education, their dynamic interplay with resilience (capacity to recover from adversity) in contributing to academic buoyancy (students’ ability to navigate daily academic challenges) warrants further understanding, particularly within the demanding context of Chinese university undergraduates and the specific mediating mechanisms involved.MethodsThis mixed-methods study employed a sequential explanatory design. …”
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Symbolic Violence Teachers Experience at Schools by Süleyman Yıldız, Mithat Korumaz, Aydın Balyer

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EFEKTIVITAS PEMBELAJARAN FISIKA MENGGUNAKAN MODEL KONTEKSTUAL (CTL) DENGAN METODEPREDICT, OBSERVE, EXPLAIN TERHADAP KEMAMPUAN BERPIKIR TINGKAT TINGGI by M. Fayakun, P. Joko

“…Sample’s taking has done with simple random sampling technique to find experiment and control class. …”
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Online Brand Experience: Drivers and Consequences by Luki Adiati Pratomo, Ovy Noviati Nuraini Magetsari

“…This study used primary data sources obtained directly by distributing questionnaires to 260 respondents. The sampling method used is non-probability sampling with purposive sampling technique, and the criteria of respondents used in this study are consumers who own and use mobile banking applications at least once a month. …”
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