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  1. 16921

    Seismic Hazard of the Uttarakhand Himalaya, India, from Deterministic Modeling of Possible Rupture Planes in the Area by Anand Joshi, Ashvini Kumar, Heriberta Castanos, Cinna Lomnitz

    Published 2013-01-01
    “…The developed attenuation relation is used in the semi empirical method to predict peak ground acceleration from the modeled rupture planes in the area. …”
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  2. 16922

    Construction of Mechanical Earth Model (MEM) to Determine the Geomechanical Properties of Reservoirs: A Case Study by Annabelle Graham, Emma Scott, William Ward

    Published 2022-12-01
    “…The mechanical earth model (MEM) has recently been considered in the oil and gas industry due to its importance in predicting the safe and stable range of drilling mud, better understanding the effective parameters in wellbore instability, safe drilling and reduce exorbitant costs on the industry and understanding the geomechanical properties of the reservoir. …”
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  3. 16923

    Gaming time and impulsivity as independent yet complementary predictors of gaming disorder risk by Paulina Daria Szyszka, Aleksandra Zajas, Jolanta Starosta, Patrycja Kiszka, Sylwia Starzec, Paweł Strojny

    Published 2025-01-01
    “…Self-report measures of impulsivity exclusively predicted gaming disorder when included in a regression model with gaming time. …”
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  4. 16924

    Bilateral Reference for High-Resolution Dichotomous Image Segmentation by Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe

    Published 2024-12-01
    “…These components collaborate to generate the final predicted maps. We also introduce auxiliary gradient supervision to enhance the focus on regions with finer details. …”
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  5. 16925

    AI-driven self-service for enhanced customer experience outcomes in the banking sector by Nkululeko PraiseGod Zungu, Hayford Amegbe, Charles Hanu, Emmanuel Selase Asamoah

    Published 2025-12-01
    “…The study reveals that personalisation influences AI-based self-service customer experience, and convenience significantly and positively predicts AI-based self-service customer experience. …”
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  6. 16926
  7. 16927

    RELAP5 Simulation of PKL Facility Experiments under Midloop Conditions by J. F. Villanueva, S. Carlos, F. Sanchez-Saez, I. Martón, S. Martorell

    Published 2017-01-01
    “…To understand the physical phenomena that takes place inside the reactor, the experiments are simulated with thermal-hydraulic codes, and this makes it possible to analyze the code capabilities to predict the plant behavior. This work presents the simulation results of four experiments included in PKL experimental series obtained using RELAP5/Mod3.3.…”
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  8. 16928

    Combined Effects of Curing Temperatures and Alkaline Concrete on Tensile Properties of GFRP Bars by Wen-rui Yang, Xiong-jun He, Kai Zhang, Yang Yang, Li Dai

    Published 2017-01-01
    “…Finally, the exponential correlation equation of two different test methods was established, and the attenuation ratio of the tensile strength of GFRP bars embedded in concrete under different curing temperatures was predicted by the bare test.…”
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  9. 16929

    Numerical Simulation of Conical Pick Cutting Arc Rock Plate Fracture Based on ANSYS/LS-DYNA by Zhiwen Wang, Qingliang Zeng, Zhenguo Lu, Lirong Wan, Xin Zhang, Guanshun Gao

    Published 2020-01-01
    “…The simulation results can be used to predict the conical pick work performance with various cutting parameters and structural parameters.…”
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  10. 16930
  11. 16931

    The TIR Domain Containing Locus of Enterococcus faecalis Is Predominant among Urinary Tract Infection Isolates and Downregulates Host Inflammatory Response by Thomas Daniel Kraemer, Orlando Daniel Quintanar Haro, Eugen Domann, Trinad Chakraborty, Svetlin Tchatalbachev

    Published 2014-01-01
    “…Infection of mouse RAW264.7 macrophages with a tcpF knock-out mutant led to elevated cytokine response compared to the isogenic wild type E. faecalis strain. In silico analysis predicted significant tertiary structure homology to the TIR domain of human TLR1 (TLR1-TIR). …”
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  12. 16932

    Fractal and Morphological Characteristics of Single Marble Particle Crushing in Uniaxial Compression Tests by Yidong Wang, Wenjiao Dan, Yongfu Xu, Yue Xi

    Published 2015-01-01
    “…A theoretical formula for particle crushing strength is derived, utilising the fractal model, and a simple method is proposed for predicting the probability of particle survival based on the Weibull statistics. …”
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  13. 16933

    Chromosome-level genome assembly of black carp Mylopharyngodon piceus using Nanopore and Hi-C technologies by Yuxuan Zhang, Yanwen Shao, Xudong Liu, Liang Zhong, Zhaoyan Zhong, Weiwei Zeng, Jiping Zhang, Wenlong Cai, Runsheng Li

    Published 2025-01-01
    “…In total, 203.54 Mb of repeat sequences and 37,418 protein-coding genes were predicted in the genome assembly. Taken together, our study provides a chromosome-level genome assembly, which can serve as a valuable genetic resource to support further biological studies and breeding efforts of black carp.…”
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  14. 16934

    Current Trends in Treatment for Acid-Dependent Diseases: Clinical Efficacy and Safety of Rabeprazole by O. D. Lopina, B. K. Nurgalieva, T. L. Lapina

    Published 2021-12-01
    “…A lower rabeprazole metabolic dependence on cytochrome P-450 enzyme system renders its antisecretory effect predictable and reduces the risk of interactions with other drugs metabolised through this system. …”
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  15. 16935

    Simulation of Sea Waves and Investigation of Extractable Energy from Waves in Makran Coastal Zone by Using SWAN Model by Mona Kashi Zonozi, Behzad Layeghi, Abbas Ranjbar, Sahar Tajkbakhsh, Mehdi Rahnama

    Published 2023-09-01
    “…In this research, the Swan model (SWAN: Simulating Waves Nearshore) was used to simulate the characteristics of the waves (Significant wave height, wave direction and wave period) were predicted in a period of 6 years. The output of the WRF model was used to generate the wind field of the SWAN model input. …”
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  16. 16936

    Quantitative Analysis on Force Chain of Asphalt Mixture under Haversine Loading by Mingfeng Chang, Pingming Huang, Jianzhong Pei, Jiupeng Zhang, Binhui Zheng

    Published 2017-01-01
    “…The results indicate that the AC-13 mesoscopic model reconstructed using the DEM is feasible to simulate the mesoscopic mechanical properties of asphalt mixture by comparing the predicted results and laboratory test results. The spatial distributions of force chains are anisotropic. …”
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  17. 16937

    Computational numerical analysis of the support structure for a rainwater storage tank by Isaac Simbaña, Xavier Vaca, Christian Andrade, Wendy Sevillano

    Published 2025-01-01
    “…This study has examined the design proposal for a support structure for a rainwater storage tank, utilizing CAD/CAE software with computational numerical analysis. These tools predict how elements will behave under specific conditions without physical construction. …”
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  18. 16938
  19. 16939

    A Transformer Encoder Approach for Localization Reconstruction During GPS Outages from an IMU and GPS-Based Sensor by Kévin Cédric Guyard, Jonathan Bertolaccini, Stéphane Montavon, Michel Deriaz

    Published 2025-01-01
    “…This paper presents a novel Transformer-based bidirectional encoder approach to address, in postprocessing, the localization challenges during GPS weak signal phases or GPS outages. Our method predicts the velocity during periods of weak or lost GPS signals and calculates the position through bidirectional velocity integration. …”
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  20. 16940

    Assessing hydrocarbon degradation capacity of Isoptericola peretonis sp. nov. and related species: a comparative study by Àngela Vidal-Verdú, Adriel Latorre-Pérez, Javier Pascual, Ruth Mañes-Collado, Aitana Nevot-Terraes, Manuel Porcar, Manuel Porcar

    Published 2025-02-01
    “…In the synthesis of biosurfactants, all the strains tested showed biosurfactant activity in three complementary assays (CTAB, hemolysis and E24%) and rhamnolipid synthesis genes have been predicted in silico in the majority of Isoptericola strains. …”
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