Numerical investigation of the influence of pulse frequency on the weld pool size in pulsed current TIG welding by Shahid Parvez, Magdy El Rayes, Essam Al-Bahkali, Khalid Alqosaibi

“…Convection in the weld pool was influenced by temperature and was strongest at higher temperatures. The decrease in weld pool size was most pronounced between 1 and 10 Hz, stabilizing between 20 and 50 Hz. …”
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Improvement of Ocean State Estimation by Assimilating Mapped Argo Drift Data by Shuhei Masuda, Nozomi Sugiura, Satoshi Osafune, Toshimasa Doi

“…The assimilation of Argo ocean current data at only one level, 1000 dbar depth, had subtle impacts on the estimated volume transports, which were strongest in the subtropical North Pacific. The corrections at 10°N, where the impact was most notable, arose through the nearly complete offset of wind stress curl by the data synthesis system in conjunction with the first mode baroclinic Rossby wave adjustment. …”
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The Influences of the Model Configuration on the Simulation of Stratospheric Northern-Hemisphere Polar Vortex in the CMIP5 Models by Zelin Cai, Ke Wei, Luyang Xu, Xiaoqing Lan, Wen Chen, Debashis Nath

“…As a basic part of the atmosphere, the stratosphere plays an important role in the tropospheric climate and weather systems, especially during the winter, when the stratosphere and troposphere have their strongest interactions. This study assesses the abilities of the Fifth Phase of the Coupled Model Intercomparison Project (CMIP5) and CMIP3 models to simulate the boreal winter stratospheric polar vortex. …”
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Influence of Regional Transport Mechanisms on the Fingerprint of Biomass-Burning Aerosols in Buenos Aires by Ana G. Ulke

“…Air mass trajectories coinciding with the CJ1 core present the strongest impact on aerosol characteristics, which can be seen in spectral measurements.…”
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Patterns of diversity in biomedical coauthorships: An analysis across authors' ethnicity, gender, age, and expertise. by Apratim Mishra, Haejin Lee, Sullam Jeoung, Vetle I Torvik, Jana Diesner

“…While each diversity index correlates significantly with impact when considered individually, gender diversity and topical expertise emerge as the strongest positive predictors of impact after accounting for key covariates. …”
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Antioxidant and Neuroproliferative Effects of THL-3-PTD5 Peptide Derived from Hydramacin-1 Antimicrobial Peptide by Ping-Chien Lee, Ching-Chun Lin, Hui-Hsuan Hsu, Feng-Di T. Lung

“…Results showed that THL-3 exhibited the strongest antioxidant activity (EC50 of 22.5 μM) in ABTS-radical scavenging assays, with amino acid residues Cys5, Pro6, Leu7, Lys9, and Lys10 playing critical roles in its activity. …”
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Comparing the Efficacy of Excitatory Transcranial Stimulation Methods Measuring Motor Evoked Potentials by Vera Moliadze, Georg Fritzsche, Andrea Antal

“…Among the stimulation methods, tRNS resulted in the strongest and atDCS significantly longest MEP increase compared to sham. …”
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The Effects of Catheter Ablation Therapy on Medication Use and Expenditures in Patients with Atrial Fibrillation by Matthew R. Reynolds, Guy David, Candace Gunnarsson, Jamie L. March, Steven C. Hao

“…These results persisted for the subset of patients age ≥65. The effects were strongest in the matched sample, where approximately 30% of ablation patients discontinued use of rhythm medication after receiving catheter ablation. …”
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Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection by Răzvan Rughiniş, Simona-Nicoleta Vulpe, Dinu Ţurcanu, Daniel Rosner

“…Life expectancy emerges as the strongest country-level predictor, negatively associated with privacy concerns, suggesting deep institutional mechanisms shape privacy attitudes beyond individual factors. …”
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Comparison of the Visibility Grading Forecast Method Based on Meteorological Factors and Environmental Factors by Yanyan Long, Fei Li, Wenjun Sang

“…The results showed that (1) in addition to having a significant positive correlation with wind speed, the visibility in winter at the Mianyang Airport has a significant negative correlation with relative humidity, dew point temperature, AQI, PM2.5 concentration, PM10 concentration, and CO, and it has the strongest correlation with relative humidity, and the correlation coefficient is −0.76. (2) The multivariate linear regression model and the KNN model were adopted for grading forecasting experiments on visibility, and the results revealed that both models could be used for visibility grading forecasts. …”
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Effects of PET Fibers on Pumpability, Shootability, and Mechanical Properties of Wet-Mix Shotcrete by Xiangfei Cui, Guoming Liu, Cheng-long Wang, Yudong Qi

“…It was found that pressure drop and compressive strength had the strongest negative linear relationship among all fitting relationships. …”
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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

“…Limiting the model to physically relevant areas unexpectedly showed the $${\hbox {C}{-}\hbox {H}}$$ peak to be the strongest predictor of DS. By applying a n-best feature selection algorithm based on the F-statistic of the Pearson correlation coefficient, several relevant areas were identified and the optimized model achieved an improved MAE of 0.052. …”
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A Spatial-Temporal Self-Attention Network (STSAN) for Location Prediction by Shuang Wang, AnLiang Li, Shuai Xie, WenZhu Li, BoWei Wang, Shuai Yao, Muhammad Asif

“…Our method STSAN gains about 39.8% Acc@1 and 4.4% APR improvements against the strongest baseline on New York City dataset.…”
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Investigation of antioxidant, antimicrobial, and enzymatic properties of thermophilic cyanobacteria extracts by Aytan Fataliyeva, Meral Yilmaz Cankilic, Nalan Yilmaz Sariozlu

“…Isolate G13 was shown to have the strongest antimicrobial activity against Micrococcus luteus NRRL B-4375 in the agar well diffusion method. …”
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Skull Impact on Photoacoustic Imaging of Multi-Layered Brain Tissues with Embedded Blood Vessel Under Different Optical Source Types: Modeling and Simulation by Xi Yang, Chengpeng Chai, Yun-Hsuan Chen, Mohamad Sawan

“…The results showed that under the initial PA signals, the types of optical source types corresponding to the strongest and weakest photoacoustic signals at different positions within the target region were consistent, while the optical source types were different in the reconstructed images. …”
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Near-Field Ground Motion Modal versus Wave Propagation Analysis by Artur Cichowicz

“…The strong ground motion sensors recorded mine-induced earthquakes in a deep gold mine, South Africa. The strongest monitored horizontal ground motion was caused by an event of magnitude 2 at a distance of 90 m with PGA 123 m/s2, causing drifts of 0.25%–0.35%. …”
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The impact of apolipoprotein E, type ∊4 allele on Alzheimer's disease pathological biomarkers: a comprehensive post-mortem pilot-analysis. by Ziyu Wan, Tao Ma

“…The apolipoprotein E type ∊4 allele (ApoE4) is known as the strongest genetic risk factor for Alzheimer's Disease (AD). …”
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Enhancing Maternal Caregiving Capabilities Model to Prevent Childhood Stunting: A UNICEF-Inspired Model by Eka Mishbahatul Marah Has PhD, Ilya Krisnana PhD, Ferry Efendi PhD

“…Household factors were the strongest factor affecting maternal caregiving capabilities. …”
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Hyperspectral Imaging Surface Analysis for Dried and Thermally Modified Wood: An Exploratory Study by Olena Myronycheva, Ekaterina Sidorova, Olle Hagman, Margot Sehlstedt-Persson, Olov Karlsson, Dick Sandberg

“…The discriminant analysis of thermally treated wood showed the strongest differentiation between the planed and rip-cut wood surfaces and a fairly clear discrimination between the two thermal processes. …”
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Experimental Research on Brittleness and Rockburst Proneness of Three Kinds of Hard Rocks under Uniaxial Compression by Rongchao Xu, Yiding Jin, Yumin Zhang

“…The results show that (1) based on the brittleness evaluation index, basalt is the most brittle rock, followed by granite, and marble is the weakest; (2) based on the rockburst proneness evaluation index, combined with the macroscopic failure phenomenon and morphology of the samples, the rockburst proneness of basalt is the strongest, followed by granite, and marble is the weakest; (3) there exists a positive correlation between rockburst proneness and brittleness, and the fitting results show that they are approximately exponential; and (4) brittleness has an important influence on the rock fracture mechanism. …”
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