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  1. 13501

    Evaluation and selection of yeasts as potential aroma enhancers for the production of dry-cured ham by Xiaohui Gong, Ruifang Mi, Xi Chen, Qiujin Zhu, Suyue Xiong, Biao Qi, Shouwei Wang

    Published 2023-01-01
    “…Based on OAV and PLS analysis, D. hansenii S25 was strongly correlated with overall flavor and key volatile compounds of dry-cured ham, which could be selected as potential starter cultures.…”
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  2. 13502

    Thermal-Hydraulic Analysis of Coolant Flow Decrease in Fuel Channels of Smolensk-3 RBMK during GDH Blockage Event by A. Lombardi Costa, M. Cherubini, F. D'Auria, W. Giannotti, A. Moskalev

    Published 2007-01-01
    “…The start time of the oscillations in mass flow rate depends strongly on the attributed power to each FC. It was also observed that, during the event, the fuel channels at higher thermal power values tend to undergo first cladding rupture leaving the reactor to scram and safeguarding all the other FCs connected to the affected GDH.…”
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  3. 13503

    Chemigenetic Ca2+ indicators report elevated Ca2+ levels in endothelial Weibel-Palade bodies. by Julian Terglane, Nicole Mertes, Sarah Weischer, Thomas Zobel, Kai Johnsson, Volker Gerke

    Published 2025-01-01
    “…The function of VWF is strongly correlated to its structure; in order to fulfill its task in the vascular lumen, VWF has to undergo a complex packing/processing after translation into the ER. …”
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  4. 13504

    Purification, Preliminary Structural Characterization, and In Vitro Inhibitory Effect on Digestive Enzymes by β-Glucan from Qingke (Tibetan Hulless Barley) by Jialiang Hu, Yue Wu, Huifang Xie, Wanyin Shi, Zhiyuan Chen, Dan Jiang, Hui Hu, Xiangwei Zheng, Jian Xu, Yuejun Yang, Yuancai Liu

    Published 2020-01-01
    “…The β-glucan presented a relatively strong inhibitory activity on α-glucosidase, moderate inhibition on invertase, and a weak inhibition on α-amylase, whereas it did not inhibit lipase. …”
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  5. 13505

    Calculating torque, back-EMF, inductance, and unbalanced magnetic force for a hybrid electrical vehicle by in-wheel drive application by Alireza Hosseinpour, Akbar Rahideh, Ahmed Abbas, Atif Iqbal, Claude Ziad El-Bayeh, Aymen Flah, Enas Ali, Ramy N. R. Ghaly

    Published 2024-06-01
    “…Increasing the temperature leads to a weakening of the magnet’s residual flux density, which strongly affects the performance characteristics of the electric machine such as Back-EMF and UMF. …”
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  6. 13506

    Repurposing Drugs for Synergistic Combination Therapies to Counteract Monkeypox Virus Tecovirimat Resistance by Haydar Witwit, Beatrice Cubitt, Roaa Khafaji, Esteban M. Castro, Miguel Goicoechea, Maria M. Lorenzo, Rafael Blasco, Luis Martinez-Sobrido, Juan C. de la Torre

    Published 2025-01-01
    “…Both MMF and IMP-1088 drugs exhibited strong dose-dependent antiviral activity against VACV and mpox, and potent synergistic effects in conjunction with TPOXX. …”
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  7. 13507

    Polyphenol Profiles and Antioxidant Properties of Ethanol Extracts from Osmanthus Fragrans (Thunb.) Lour. Flowers by Li Hong-Ling, Chai Zhi, Shen Garry X., Li Chun-Yang

    Published 2017-12-01
    “…In vitro antioxidant activity analysis demonstrated that EOF possessed strong DPPH and ABTS radicals scavenging activity with EC50 values at 0.26±0.06 mg/mL and 0.36±0.01 mg/mL, respectively, and reducing power with Ab0.5 value at 13.04±0.16 μg/mL. …”
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  8. 13508

    Spatial Intelligence in E-Commerce: Integrating Mobile Agents with GISs for a Dynamic Recommendation System by Mohamed Shili, Salah Hammedi, Mahmoud Elkhodr

    Published 2025-01-01
    “…The integration of GISs and mobile agents lays a strong foundation for future advancements in personalized e-commerce solutions, offering a scalable model for businesses looking to optimize marketing efforts and customer experiences.…”
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  9. 13509

    Modeling Compressive Strength of Self-Compacting Concrete (SCC) Using Novel Optimization Algorithm of AOA by Francisca Blanco, Ye Woo

    Published 2024-09-01
    “…The developed models were evaluated using several performance metrics, with results showing a strong correlation between predicted and actual values, achieving an R² of 97.3%. …”
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  10. 13510

    Effect of Annealing Temperature on CuInSe2/ZnS Thin-Film Solar Cells Fabricated by Using Electron Beam Evaporation by H. Abdullah, S. Habibi

    Published 2013-01-01
    “…Hence, we can conclude that the overall cell performance is strongly dependent on the annealing temperature.…”
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  11. 13511

    Outcome of Initial Endodontic Treatment Performed, by One Specialist, in 122 Tunisian Patients: A Retrospective Study by Latifa Berrezouga, Adel Bouguezzi, Mohamed Semir Belkhir

    Published 2018-01-01
    “…Within the limitations of the study, pulp and periapical status and permanent restoration are found to be strong outcome predictors.…”
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  12. 13512

    Estimation du sexe fœtal à partir de l’ilium by Pascal Adalian, Sandrine Boutin-Forzano, Marie-Dominique Piercecchi-Marti, Yann Ardagna, Michel Signoli, Ferenc Kosa, Georges Leonetti, Olivier Dutour

    Published 2001-06-01
    “…During this research, we tested the different methods proposed for fetal iliac bones and adapted some others used particularly in the case of adults.For this reason, we set up and validated a protocol of taking photographs, as well as a measurement technique developed for numeric pictures with the help of a software program, Adobe Photoshop 6‚.During this study, we selected certain parameters, principally the ones taken on the great sciatic notch, which showed a strong correlation with sex, and we established a logistic regression for estimating the probability of belonging to one sex or the other.The weak percentage of sexual differentiation obtained by this formula led us to take into account age: we organised our sample in different age groups and established a formula that permits correct sex determination in more than 85% of cases (in our sample) for fetuses that are less than 24 gestational weeks old.…”
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  13. 13513

    Radical Scavenging, Proteases Activities, and Phenolics Composition of Bark Extracts from 21 Medicinal Plants by Muhammad Asam Raza, Durre Shahwar, Tania Khan

    Published 2015-01-01
    “…champaca, A. modesta, P. roxburghii, P. longifolia, E. suberosa, and F. infectoria was evaluated for the first time. A strong correlation between total phenols and antiradical activity was exhibited with R values ranging from 0.7580 to 0.8874 indicating a linear relationship The extracts phenolic composition was studied by HPLC. …”
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  14. 13514

    Russian Arctic in the Contours of the Maritime Doctrine of the Russian Federation by Sergey Yu. Kozmenko, Arina S. Kozmenko

    Published 2024-12-01
    “…During this period, Russia’s importance in the system of international relations increased, the country’s reputation and confidence in acquiring the status of a great maritime power, as well as in taking strong positions on land, as a state with centuries-old traditions of developing a large continental civilization, has been strengthened. …”
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  15. 13515

    Identification of a novel SPTB gene splicing mutation in hereditary spherocytosis: a case report and diagnostic insights by Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Xuemei Li, Li Wang, Li Wang, Li Wang, Li Wang, Qian Li, Qian Li, Qian Li, Qian Li, Qianqian Liu, Qianqian Liu, Qianqian Liu, Qianqian Liu, Chengyin He, Li Zhang, Li Zhang, Li Zhang, Li Zhang, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Junling Tang, Junling Tang, Junling Tang, Junling Tang

    Published 2025-01-01
    “…Clinical findings, combined with genetic analysis, confirmed the diagnosis of HS and underscored the importance of comprehensive molecular testing for accurate diagnosis, especially in patients with a strong family history.ConclusionThis case emphasizes the utility of genetic testing in diagnosing hereditary spherocytosis, particularly for novel gene mutations. …”
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  16. 13516

    Investigation of multi-input convolutional neural networks for the prediction of particleboard mechanical properties by Shuoye Chen, Shunsuke Sakai, Miyuki Matsuo-Ueda, Kenji Umemura

    Published 2025-02-01
    “…Regression activation maps were constructed to visualize the image features that were strongly correlated with the predicted results. For MOE prediction, the precise location of phenol formaldehyde (PF) resin and particle alignment were crucial. …”
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  17. 13517

    Enhancing executive mathematics problem-solving through a constructivist digital learning platform: Design, development and evaluation by Supaluk Chaiarwut, Sanit Srikoon, Apirat Siritaratiwat, Parama Kwangmuang

    Published 2025-01-01
    “…Data collection utilized the Index of Item-Objective Congruence (IOC), System Usability Scale (SUS), and User Engagement Scale (UES). The model showed strong alignment with theoretical principles (IOC = 0.84). …”
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  18. 13518

    Mapping the Active Galactic Nucleus Effects on the Stellar and Gas Properties of NGC 5806 by Sophie L. Robbins, Sandra I. Raimundo, Matthew A. Malkan

    Published 2025-01-01
    “…It is commonly accepted that active galactic nuclei (AGNs) have a strong impact upon the evolution of their host galaxies, but the processes by which they do so are not fully understood. …”
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  19. 13519

    Understanding collective behavior in biological systems through potential field mechanisms by Junqiao Zhang, Qiang Qu, Xuebo Chen

    Published 2025-01-01
    “…Our simulations span a variety of environmental conditions, including standard environments where organisms interact under typical conditions, high noise environments where interactions are disrupted by random fluctuations, high density environments with increased competition for space, high risk environments featuring areas of strong negative potential field, and multiple resource environments with varying degrees of resource availability. …”
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  20. 13520

    A guidance to intelligent metamaterials and metamaterials intelligence by Chao Qian, Ido Kaminer, Hongsheng Chen

    Published 2025-01-01
    “…Abstract The bidirectional interactions between metamaterials and artificial intelligence have recently attracted immense interest to motivate scientists to revisit respective communities, giving rise to the proliferation of intelligent metamaterials and metamaterials intelligence. Owning to the strong nonlinear fitting and generalization ability, artificial intelligence is poised to serve as a materials-savvy surrogate electromagnetic simulator and a high-speed computing nucleus that drives numerous self-driving metamaterial applications, such as invisibility cloak, imaging, detection, and wireless communication. …”
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