Surveillance of Multidrug-Resistant Genes in Clinically Significant Gram-Negative Bacteria Isolated from Hospital Wastewater by Shriya C. Shetty, Lakshya S. Gowda, Ankeeta Menona Jacob, Kalidas Shetty, A. Veena Shetty

“…PCR confirmed the presence of drug-resistance genes in Gram-negative bacterial isolates. Results: High rates of <i>Enterobacterales</i> resistant to carbapenems and cephalosporins observed in isolates from final treated effluent. …”
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The magnitude and time course of pre-saccadic foveal prediction depend on the conspicuity of the saccade target by Lisa M Kroell, Martin Rolfs

“…Foveal enhancement defined as the difference between hit rates to target-congruent and target-incongruent foveal probes increased with target opacity. …”
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Evaluating the physical and nutritional environments of rural communities in Illinois by Ravneet Kaur, Emily Orr, Matthew Dalstrom

“… Background Rural communities often have higher rates of physical inactivity and obesity than their urban counterparts. …”
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Cognitive processing of Chinese verbal irony: the role of reverse adjacency relations in reaction time and accuracy by Mian Huang, Zijian Li, Yu Zheng, Caini Yang

“…Results revealed statistically significant difference across conditions, for experimental ironic sentences (6,012 ms) compared to control (4,901 ms) and baseline sentences (3,987 ms all p &lt; 0.001). Accuracy rates followed a similar pattern, with the experimental condition (64.1%) lower than the control (73.6%) and baseline (82.3%, all p &lt; 0.01). …”
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Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking by Changhyun Lim, Hyun-Jun Jeon, Woojae Jung, Youngshin Kwak, Myong Young Lee, Jung Hyun Ham, Hyun Bin Joo, Oh-Sang Kwon, Dongil Chung

“…Individuals&#x2019; pupil diameter successfully tracked (cluster-based permutation p &#x003C;0.05) both objective and subjective perspectives of image quality. These patterns highlight both the shared characteristics and measurable distinctions between objective image quality and subjective vividness ratings. …”
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Multiple sclerosis mortality trends in Spain from 1981 to 2020 by L. Cayuela, A. de Albóniga-Chindurza, S. Gómez Enjuto, J. Lapeña-Motilva, S. Sainz de la Maza, A. González García, A. Cayuela

“…Age-standardised mortality rates (ASMR) and trend analysis were performed using joinpoint regression software. …”
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Phylogeochemistry: exploring evolutionary constraints on belemnite rostrum element composition by A. Pohle, K. Stevens, R. Hoffmann, A. Immenhauser, A. Immenhauser

“…We used comparative Bayesian phylogenetic tools to reconstruct ancestral states and phenotypic evolutionary rates of these geochemical data based on trees inferred from morphological data. …”
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Levels and types of physical activity in Russia according to the ESSE-RF study: is there a trace of the COVID-19 pandemic? by M. B. Kotova, S. A. Maksimov, S. A. Shalnova, A. V. Kontsevaya, Yu. A. Balanova, A. E. Imaeva, V. A. Kutsenko, G. A. Muromtseva, N. S. Karamnova, S. E. Evstifeeva, A. V. Kapustina, O. A. Litinskaya, M. S. Pokrovskaya, E. B. Yarovaya, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, E. N. Chernysheva, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. D. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovyova, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, I. V. Tantsyreva, I. N. Baryshnikova, M. G. Ataev, M. O. Radjabov, M. M. Isakhanova, M. A. Umetov, L. V. Elgarova, I. A. Khakuasheva, E. I. Yamashkina, M. V. Esina, T. A. Kunyaeva, A. M. Nikitina, N. V. Savvina, Yu. E. Spiridonova, E. A. Naumova, A. A. Keskinov, V. S. Yudin, S. M. Yudin, O. M. Drapkina

“…Compared to the urban population, rural residents have higher physical activity rates (23,9 vs 20,3%, p&lt;0,001). The proportion of people with high physical activity is also higher among people with higher income levels (p&lt;0,001). …”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs by Samir Abdaljalil, Hasan Kurban, Rachad Atat, Erchin Serpedin, Khalid Qaraqe

“…Our method successfully captures temporal patterns, making it robust against subtle anomalies and structural changes. …”
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Evaluating the Effects of Mitigating Urban Heat Islands of Green Infrastructure on Increasing the Productivity of Light and Heavy Work (Case Study: Tabriz Metropolitan) by Mahdi Herischian, Hassan Mahmoudzadeh, Rasoul Ghorbani

“…The primary inputs for the model included a land use/land cover raster map, a reference evapotranspiration (ET0) raster map, a biophysical table containing details about each land use/land cover class, a vector map of city buildings, and an energy consumption rate table categorized by building type and air temperature. …”
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Development of approaches to the evaluation of pharmacotherapy effectiveness for chronic hepatitis C by I. A. Narkevich, E. A. Tsitlionok

“…Objective: to analyse the consumption pattern of antiviral therapy (AVT) for chronic hepatitis C on the example of an infectious hospital.Material and methods. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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Development of oculomotor digital biomarkers using clinical examinations as “Ground Truth” by Brittany Trotter, Melissa Hunfalvay, Melissa Hunfalvay, Nicholas P. Murray, Greg C. Mathews, Frederick Robert Carrick, Frederick Robert Carrick, Frederick Robert Carrick, Frederick Robert Carrick

“…A board-certified neurologist with 16 years of experience also conducted an oculomotor examination to mirror eye movement patterns.ResultsData analysis included a series of single-block logistic regressions to examine the scoring of the six eye-tracking tests (RightEye, LLC) to predict clinician-rated eye movement classifications (i.e., normal or abnormal). …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ML model, trained on data from various operating conditions and performance parameters, aims to uncover intricate relationships and patterns, resembling GT characteristics at different scales (ratings). …”
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Consensus-Driven Development of an Exercise Base Manual Programme for Prediabetic Patients: A Delphi Study by Hafeez S, Shakil-Ur-Rehman S, Riaz S, Hafeez S, Hafeez JS, Mumtaz H

“…Initial recommendations were rated by panalists through a 5-point Likert scale. …”
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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

“…In addition, we also introduce a memory-aware constrained layer normalization to alleviate the challenges of multi-modal feature heterogeneity. Besides, we use gating mechanisms and dynamic memory components to enable the model to learn feature information of different historical-current patterns, further improving the model’s performance. …”
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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

“…In conjunction with the pulse calibration and the Markov Chain Monte Carlo simulated injection experiments, this work updates the quantified parameter space of the detection rate. Moreover, a parallel-accelerated version of the BASSET code was provided and evaluated through simulation. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Influence of SCD and FABP3 genetic markers on carcass traits and meat quality in Aberdeen Angus bulls by Sena Ardicli, Nursen Senturk, Tugce Necla Selvi, Sena Yonga, Rumeysa Celik, Beyza Karalar, Aleyna Ozdeniz, Madina Aliyeva, Havvanur Aydin, Ozgur Toprak Ay, Ozge Ardicli, Muhammed Emin Sari, Berkay Bozkurt, Oliva Giannelli Viscardi, Huseyn Babayev, Hakan Ustuner

“…The results suggest a notable impact of the FABP3 rs210042291 gene on growth rates. These findings highlight the complexity of genetic influences on meat quality traits.…”
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Supershear source model of the 2025 M7.8 Myanmar earthquake and paleoseismology of the Sagaing Fault: regions of significant overlap with past earthquakes by Diego Melgar, Ray Weldon, Yu Wang, Mary Grace Bato, Lin Thu Aung, Xuhua Shi, Weerachat Wiwegwing, Saw Ngwe Khaing, Soe Min, Myo Thant, Cole Speed, Robert Zinke, Eric Fielding, Aron Meltzner, Timothy Dawson

“…Given the exceptional exposure to earthquakes and high strain rates, our findings underscore the need for urgent attention to earthquake preparedness and infrastructure resilience in central Myanmar. …”
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