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  1. 2161

    Experimental Investigation on Strength and Deformation Characteristics of Red Sandstone at Strain Rates of 10−2∼55 s−1 by Jie Shi, Zongmu Luo, Huachao Liu, Dan Wang, Haipeng Shen, Zeng Li

    Published 2020-01-01
    “…The mechanical properties of rocks under low to intermediate strain rate are of great importance for seismic engineering, rock impact, and blasting excavation. …”
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  2. 2162

    The Modified Block Iterative Algorithms for Asymptotically Relatively Nonexpansive Mappings and the System of Generalized Mixed Equilibrium Problems by Kriengsak Wattanawitoon, Poom Kumam

    Published 2012-01-01
    “…The propose of this paper is to present a modified block iterative algorithm for finding a common element between the set of solutions of the fixed points of two countable families of asymptotically relatively nonexpansive mappings and the set of solution of the system of generalized mixed equilibrium problems in a uniformly smooth and uniformly convex Banach space. …”
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  3. 2163
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  6. 2166

    Reliability of the Second and Third Iterations of the Sensory–Motor Dysfunction Questionnaire in a Subclinical Neck Pain Population by Ushani Ambalavanar, Heidi Haavik, Nitika Kumari, Imran Amjad, Nooshin Khobzi Rotondi, Bernadette Ann Murphy

    Published 2025-01-01
    “…Part 1 evaluated the intra-rater reliability of SMD-Q version 2 (V2). Part 2 addressed V2’s limitations before assessing the intra-rater reliability of version 3 (V3). …”
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  7. 2167

    Research on the Method of Detecting the Spreading Rate of the Simultaneous Crushed Stone Sealing Layer Based on Machine Vision by Xin Rong, Honghai Liu, Xinmin Gao, Qinghua Bian

    Published 2022-01-01
    “…Synchronous chip seal is an advanced road constructing technology, and the gravel coverage rate is an important indicator of the construction quality. …”
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  8. 2168

    Morphological analysis of cold-water coral skeletons for evaluating in silico mechanical models of reef-scale crumbling by Marta Peña Fernández, Josh Williams, Janina V. Büscher, Janina V. Büscher, J. Murray Roberts, Sebastian J. Hennige, Uwe Wolfram, Uwe Wolfram

    Published 2025-01-01
    “…Understanding the structural-mechanical relationships of reef-forming corals is important to enable the use of in silico mechanical models as predictive tools that allow us to determine risk and timescales of reef collapse. …”
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  10. 2170

    FusOn-pLM: a fusion oncoprotein-specific language model via adjusted rate masking by Sophia Vincoff, Shrey Goel, Kseniia Kholina, Rishab Pulugurta, Pranay Vure, Pranam Chatterjee

    Published 2025-02-01
    “…Employing a unique cosine-scheduled masked language modeling strategy, FusOn-pLM dynamically adjusts masking rates (15%–40%) to optimize feature extraction and representation quality, surpassing baseline embeddings in fusion-specific tasks, including localization, puncta formation, and disorder prediction. …”
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  11. 2171

    Global stability of a network-based SIS epidemic model with a general nonlinear incidence rate by Shouying Huang, Jifa Jiang

    Published 2016-04-01
    “…It is interesting that the threshold value $R_0$ bears no relation to the functional form of the nonlinear incidence rate and degree-dependent birth. Furthermore, by applying an iteration scheme and the theory of cooperative system respectively, we obtain sufficient conditions under which the endemic equilibrium is globally asymptotically stable. …”
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  12. 2172

    Biofloc technology significantly reshapes water microbiome and improves survival rates in Japanese eel (Anguilla japonica) by Jiho Yang, Hyunjun Choi, Jun Seong Park, Yehyeon Cha, Ju-Ae Hwang, Seung-Yoon Oh

    Published 2025-02-01
    “…Our research demonstrated that BFT treatment was more advantageous for eel growth compared with FTS in terms of eel survival rate, feed intake amount, and growth rate. Both treatments did not result in water quality conditions detrimental to the growth of eels. …”
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  13. 2173
  14. 2174

    Selection of probiotic bacteria from the coral reef and tiger grouper fish (Epinephelus foscoguttatus) farming environment by . Ilmiah, . Sukenda, . Widanarni, Enang Harris

    Published 2013-11-01
    “…This study aims to obtain candidates probiotic bacteria from the coral reef and tiger grouper aquaculture environment (Epinephelus fuscoguttatus). …”
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  15. 2175

    Original vegetation condition and precipitation growth rate bifurcate sediment flux trend on the Qinghai-Tibet Plateau by Jinhao Guo, Yao Yue, Wenxin Huai, Xia Yan, Alistair G. L. Borthwick, Yuanfang Chai, Shuolin Li, Zhiwei Li, Yichu Wang, Chiyuan Miao, Zhonghua Yang

    Published 2025-02-01
    “…Combinations of original vegetation condition and increasing rate of precipitation are pivotal for bifurcating the sediment flux trend. …”
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  16. 2176

    AC Optimal Power Flow: a Conic Programming relaxation and an iterative MILP scheme for Global Optimization by Oustry, Antoine

    Published 2022-11-01
    “…Leveraging these Conic Programming constraints, we dynamically generate Mixed-Integer Linear Programming (MILP) relaxations, whose solutions asymptotically converge to global minimizers of the AC Optimal Power Flow problem. We apply this iterative MILP scheme on the IEEE PES PGLib [2] benchmark and compare the results with two recent Global Optimization approaches.…”
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    Cités mythiques à l’épreuve du réel dans Hotels (1995) de Raoul Schrott by Sylvie Grimm-Hamen

    Published 2010-03-01
    “…Ce qui prévaut est ainsi un double mouvement de transfiguration du réel et de désenchantement. Chaque poème est un lieu de mise en abyme de la culture et de l’imaginaire qui nous informent, et un lieu d’expérimentation de la condition moderne, où le monde se vit de loin, comme un décor touristique, que l’on peut regarder, mais plus investir. …”
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  19. 2179

    Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

    Published 2025-01-01
    “…Recommendation systems face the complex challenge of modeling high-dimensional interactions between users and items to deliver personalized recommendations. This paper introduces Cyclic Dual Latent Discovery (CDLD), a novel method that employs dual deep neural networks (DNNs) in a cyclic training process to discover the latent traits of users and items based on their interactions. …”
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  20. 2180