Showing 5,941 - 5,960 results of 7,339 for search 'evolutionary three', query time: 0.28s Refine Results
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    Elucidation of Expression Patterns and Functional Properties of Archaerhodopsin Derived from <i>Halorubrum</i> sp. Ejinoor by Luomeng Chao, Yuxia Yang

    Published 2025-03-01
    “…Functional assays confirm light-driven proton extrusion (0.1 ng H⁺/mg·s) with DCCD-amplified flux (0.3 ng H⁺/mg·s) and ATP synthesis (0.3 nmol/mg·s), underscoring its synergy with H⁺-ATPase. …”
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  10. 5950

    Optimized AAV capsids for basal ganglia diseases show robust potency and distribution by D. E. Leib, Y. H. Chen, L. Tecedor, P. T. Ranum, M. S. Keiser, B. C. Lewandowski, E. M. Carrell, S. Arora, I. Huerta-Ocampo, D. Lai, C. M. Fluta, C. Cheng, X. Liu, B. L. Davidson

    Published 2025-05-01
    “…Thus, AAV-DB-3 provides a unique AAV for network level brain gene therapies that translates up and down the evolutionary scale for preclinical studies and eventual clinical use.…”
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  11. 5951

    Identification and Expression Analysis of miR166 Gene Family in Response to Salt Stress in <i>Chrysanthemum</i> by Di Wang, Shuheng Wang, Dongyang Zhang, Yuan Meng, Ying Qian, Siyu Feng, Yun Bai, Yunwei Zhou

    Published 2025-01-01
    “…Taken together, the <i>cgr-miR166</i> family exhibited both evolutionary conservation and diversification. The expression level of miR166 was upregulated in root under salt stress, while the expression level of the target gene HD-ZipIII was downregulated. …”
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  12. 5952

    Comprehensive physiological, transcriptomic, and metabolomic analyses revealed the regulation mechanism of evergreen and cold resistance of Pinus koraiensis needles by Yan Li, Xin Li, Dan Peng, Jiaxin Luo, Shuai Zhu, Haibo Du, Xiaoning Li, Jiafeng Zhang, Jun Meng, Xiaona Pei, Xiyang Zhao

    Published 2024-12-01
    “…Transcriptome data is categorized into four distinct stages: spring (S2), summer (S3-S4), autumn (S5), and winter (S6-S1). The differential expression of transcription factor genes, including bHLH, MYB-related, AP2/ERF, C3H, and NAC, provides insights into the needles’ seasonal adaptations. …”
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  13. 5953

    Performance Comparison of Multi-Objective Optimizers for Dynamic Balancing of Six-Bar Watt Linkages Using a Fully Cartesian Model by María T. Orvañanos-Guerrero, Claudia N. Sánchez, Luis Eduardo Robles-Jiménez, Sara Carolina Gómez-Delgado

    Published 2025-07-01
    “…Balancing mechanisms require the minimization of both the Shaking Moment (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mi>h</mi><mi>M</mi></mrow></semantics></math></inline-formula>) and Shaking Force (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="bold">ShF</mi></semantics></math></inline-formula>), a complex multi-criteria challenge often tackled using single-objective algorithms. …”
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  14. 5954

    Comparative energy metabolism in red and white muscles of juvenile yellowfin tuna, Thunnus albacore by Zhiyuan Lu, Zhiyuan Lu, Qian Li, Edwine Yongo, Juan Xiao, Zhiqiang Guo, Zhiqiang Guo

    Published 2025-05-01
    “…Enzymatic validation revealed red muscle exhibited higher citrate synthase activity (2.3-fold) and elevated β-hydroxyacyl-CoA dehydrogenase levels (1.8-fold), whereas white muscle showed greater hexokinase activity (4.7-fold) and increased lactate dehydrogenase activity (3.2-fold). …”
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  15. 5955

    Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building by Abtin Baghdadi, Harald Kloft

    Published 2025-05-01
    “…This study presents a novel integrated framework for the structural analysis and optimization of multi-floor buildings by combining validated theoretical models with machine learning and evolutionary algorithms. The proposed Process–Action–Response System (PARS-Solution) accurately computes key structural responses—such as deformations, shear forces, and bending moments—based on eleven critical design parameters (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>P</mi><mn>1</mn></msub></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>P</mi><mn>11</mn></msub></semantics></math></inline-formula>). …”
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    Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte, Richard C. Millar, Robert Walter Meyer

    Published 2024-09-01
    “…The optimization model’s performance over 250 generations shows rapid initial improvements in cost, time, risk, and battery usage, followed by stabilization, indicating efficient convergence and effective evolutionary computation. Also the findings show that with a CO2 emission rate of 3.773 × 104 kg of CO2 per Wh, highlighting the model’s efficiency and effectiveness.…”
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