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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Titanium nitride sensor for selective NO2 detection by Xuefei Zhao, Zhihang Xu, Zhaorui Zhang, Jiahao Liu, Xiaohui Yan, Ye Zhu, J. Paul Attfield, Minghui Yang

“…Here, we present a transition metal nitride sensor that exhibits exceptional selectivity for NO2, demonstrating a sensitivity 30 times greater than that of the strongest interfering gas, NO. The sensor maintains stability over 6 months and does not utilize platinum or other precious metals. …”
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Effectiveness of Nanoparticles in Enhancing Bond Strength in Adhesive Dentistry by Ullash Kumar, Dewanshu Kumar, Khyati N Gosai, Dhanashree Dalal, B Pragnya, Sayeeganesh Nagarajan

“…At an average of 35 MPa, the zirconia nanoparticle group showed the strongest bond. A statistical study verified that there were significant differences (P < 0.05) between each of the adhesives boosted with nanoparticles and the regular glue. …”
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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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Statistical optimization and batch studies on adsorption of phosphate using Al-eggshell by Yan Zhang, Hui Li, Yuyan Zhang, Fengjuan Song, Xiaoqiang Cao, Xianjun Lyu, Yan Zhang, John Crittenden

“…Contour pictures implied that the interaction between pH values and sorbent dosage was the strongest, followed by C(AlCl 3 ) versus dosage and C(AlCl 3 ) versus pH. …”
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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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Antibacterial and quorum sensing regulatory activities of some traditional Eastern-European medicinal plants by Tolmacheva Anna A., Rogozhin Eugene A., Deryabin Dmitry G.

“…Among seven plant extracts showing direct growth-inhibitory activity, the strongest effect was shown by Arctostaphylos uva- -ursi (bearberry) leaves. …”
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Analysis of Digital Marketing Adoption Behaviour in MSMEs in Bengkulu City using the UTAUT-3 Model by Nurul Renaningtias, Pradifta Irsyad Hidayat, Aan Erlansari, S.T.,M.Eng

“…Performance Expectancy has the strongest influence with a path coefficient value of 0.481 which means MSME players adopt digital marketing because it can develop their business, help promotion, increase productivity, and increase business sales. …”
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Multimodal ultrasound assessment of the injection therapy in lateral epicondylitis: a retrospective observational study by Chengfeng Chu, Mingmin Xu, Jichao Hu

“…Notably, the increase in RI demonstrated the strongest correlation with the decrease in VAS scores. …”
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Impact of socioeconomic and political stressors on mental health: a cross-sectional study on university students in Lebanon by Zeina M. Al-Khalil, Walaa G. El Sheikh, Ghena H. Lababidi, Elissa O. Shehayeb, Pia Maria Ghanime, Farid R. Talih, Hani Tamim, Bilal R. Kaafarani

“…Women had poorer mental health outcomes. The strongest associations were between little sleep and burnout (aOR = 6.78, p < 0.001) and symptoms of depression, anxiety (aOR = 2.84, p < 0.001). …”
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