Showing 1,701 - 1,720 results of 2,280 for search '(( variables function coefficiency. ) OR ( variable function efficiency. ))*', query time: 0.14s Refine Results
  1. 1701

    Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology by Panshi XIE, Hang YANG, Yongping WU, Baofa HUANG, Weidian LIN, Leilei YI

    Published 2024-12-01
    “…Ultimately, the feasibility and efficacy of this system are corroborated through a multi-functional, variable-angle large-scale "support-surrounding rock" system physical simulation platform. …”
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  2. 1702

    An updated non-intrusive, multi-scale, and flexible coupling interface in WRF 4.6.0 by S. Masson, S. Jullien, E. Maisonnave, D. Gill, G. Samson, M. Le Corre, L. Renault

    Published 2025-02-01
    “…The present paper details the development and the functionalities of the coupling interface we implemented in WRF. …”
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  3. 1703

    Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

    Published 2025-03-01
    “…To this end, the feature importance analysis of MSW input variables was carried out using the decision tree regressor with the Gini importance (GI) metrics to identify the most influential variable. …”
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  4. 1704

    RNAtango: Analysing and comparing RNA 3D structures via torsional angles. by Marta Mackowiak, Bartosz Adamczyk, Marta Szachniuk, Tomasz Zok

    Published 2024-10-01
    “…RNA molecules, essential for viruses and living organisms, derive their pivotal functions from intricate 3D structures. To understand these structures, one can analyze torsion and pseudo-torsion angles, which describe rotations around bonds, whether real or virtual, thus capturing the RNA conformational flexibility. …”
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  5. 1705

    Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations by L.-S. Höyns, L.-S. Höyns, L.-S. Höyns, T. Kleiner, A. Rademacher, M. Rückamp, M. Wolovick, M. Wolovick, A. Humbert, A. Humbert

    Published 2025-06-01
    “…Since we cannot directly measure basal properties on a large scale, inverse models can be used to infer the basal drag coefficient by minimizing a cost function that depends on a velocity misfit and a regularization term.…”
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  6. 1706

    Complete sequencing of the mitochondrial genome of tea plant Camellia sinensis cv. ‘Baihaozao’: multichromosomal structure, phylogenetic relationships, and adaptive evolutionary an... by Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zhiyin Chen, Zixu Wang, Zixu Wang, Zixu Wang, Zixu Wang, Wei Zhou, Wei Zhou, Wei Zhou, Wei Zhou, Sijie Liu, Sijie Liu, Sijie Liu, Sijie Liu, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yuxin Xiao, Yihui Gong, Yihui Gong, Yihui Gong, Yihui Gong

    Published 2025-06-01
    “…Adaptive evolutionary analysis, based on Ka/Ks ratios, was performed to investigate gene selection pressures.ResultsThe mitochondrial genome consists of 11 linear chromosomes, with a total length of 909,843 bp and a GC content of 45.62%. A total of 73 functional genes were annotated, among which 14 variable genes (e.g., ribosomal protein coding genes) retain intact functions without pseudogenization, which is rare among Theaceae plants. …”
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  7. 1707

    Distinctive Gait Variations and Neuroimaging Correlates in Alzheimer's Disease and Cerebral Small Vessel Disease by Xia Zhou, Wen‐Wen Yin, Chao‐Juan Huang, Si‐Lu Sun, Zhi‐Wei Li, Ming‐Xu Li, Meng‐Meng Ren, Ya‐Ting Tang, Jia‐Bin Yin, Wen‐Hui Zheng, Chao Zhang, Yu Song, Ke Wan, Yue Sun, Xiao‐Qun Zhu, Zhong‐Wu Sun

    Published 2024-12-01
    “…Gait metrics included the timed up and go (TUG) test, dual‐task TUG (DTUG) test, Berg balance scale (BBS), dual‐task cost (DTC), step length, gait speed, cadence and coefficient of variation of gait. The relationships among structural and perfusion variations, gait metrics and cognitive function were examined. …”
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  8. 1708

    A Protocol for Advanced Psychometric Assessment of Surveys by Janet E. Squires, Leslie Hayduk, Alison M. Hutchinson, Lisa A. Cranley, Mark Gierl, Greta G. Cummings, Peter G. Norton, Carole A. Estabrooks

    Published 2013-01-01
    “…Reliability is assessed with internal consistency coefficients and information functions. A unitary approach to validity consisting of accumulating evidence based on instrument content, response processes, internal structure, and relations to other variables is taken. …”
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  9. 1709

    IRRIGATED YIELD ESTIMATION OF Populus Nigra STANDS IN NINEVEH PLANTATION by Muzahim .S. younis

    Published 2008-09-01
    “…Consequence of the use of Non-Linear function in this study, which is believed to be in harmonic with the characteristics of tree stand, twelve trees were selected which represents different location over an area planted with Populus nigra trees ,and after data analysis of variable values , three mathematical equations were obtains which link the yield per area ,a dependent variable and age ,mean height of stand quadratic mean diameter as the independent variable , in order to obtain yield table of revocable densities for Populus nigra , selecting the best model , different measures of precision , such as , coefficient of determination, standard error of estimate and residual analysis test, so following regressions selected : Y= 4.1356 G1.12355 R2= 0.9796 S.E=1.8 Y= 0.12788H2.27 R2= 0.913 S.E=3.54 Y= -0.64168+0.34744A2+0.063183Dq2.4 R2= 0.9674 S.E=2.29 Since there are good values of precision measures , so we will be able to use equations to prepare yield table at different densities of Populus nigra stands in Nineveh, depending on mean height or basal area per hectare or for age and quadratic mean. …”
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  10. 1710
  11. 1711

    Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow by Khalil Ur Rehman, Nosheen Fatima, Wasfi Shatanawi, Nabeela Kousar

    Published 2025-01-01
    “…We established an artificial neural network (ANN) model, incorporating Tan-Sig and Purelin transfer functions, to enhance the accuracy of predicting skin friction coefficient (SFC) values along the surface. …”
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  12. 1712

    Optimal power flow using recent red-tailed hawk optimization algorithm by Ahmed M Nassef, Mohammad Ali Abdelkareem, Mohamed Louzazni

    Published 2025-03-01
    “…Optimization can efficiently achieve various objective functions in power systems. …”
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  13. 1713

    Validation and Discriminant Analysis of the Athens Insomnia Scale in Older Adults by Huseyin Elbi, Melike Batum, Ece Ozlem Oztürk, Merve Vatansever Balcan, Ayşin Kisabay Ak, Hikmet Yilmaz, Omer Aydemir

    Published 2025-06-01
    “…Its two‐dimensional structure distinguishes nocturnal sleep problems and their effects on daytime functionality.…”
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  14. 1714

    Correlation between Electrochemical Relaxations and Morphologies of Conducting Polymer Dendrites by Antoine Baron, Enrique H. Balaguera, Sébastien Pecqueur

    Published 2024-01-01
    “…Correlations are established between dispersive capacitances of dendritic morphologies and growth duration, independently from exogenous physical variables: distance, evaporation or aging. Deviation of the anomalous capacitance from the conventional Debye dielectric relaxation can be programmed, as the growth controls the dispersion coefficient of the dendrite's constant-phase elements relaxation. …”
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  15. 1715

    Random First-Order Linear Discrete Models and Their Probabilistic Solution: A Comprehensive Study by M.-C. Casabán, J.-C. Cortés, J.-V. Romero, M.-D. Roselló

    Published 2016-01-01
    “…The study is based on Random Variable Transformation method. The obtained results are given in terms of the probability density functions of the data, namely, initial condition, forcing term, and diffusion coefficient. …”
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  16. 1716

    An assessment of the likely impact of strain-related phenotypic plasticity on hominin fossil species identification by M. Collard, S.J. Lycett

    Published 2009-07-01
    “…We divided the measurements into three groups: measurements of features subject to high masticatory strain, measurements of features subject to low-to-moderate masticatory strain, and measurements of features that do not remodel and therefore are not prone to strain-related phenotypic plasticity. Next, we used the coefficient of variation and ANOVA to investigate whether masticatory strain is a cause of variability. …”
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  17. 1717

    Adaptive Fractional-Order Nonsingular Fast Terminal Sliding Mode Control for Manipulators by Xin Zhang, Ran Shi

    Published 2021-01-01
    “…Secondly, in view of the problems of large chattering and slow convergence speed in the reaching stage, this paper designs a variable exponential power-reaching law (VEPRL), which has the ability to change the exponential coefficients according to the system state adaptively. …”
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  18. 1718

    Research on the Stability Prediction and Optimization of CNC Milling Based on Bagging–NSGAⅡ Under the Influence of Multiple Factors by Congying DENG, Qian YOU, Yang ZHAO, Lijun LIN, Guofu YIN

    Published 2024-07-01
    “…Taking these process parameters (<italic>x</italic>, <italic>y</italic>, <italic>z</italic>, <italic>d</italic>, <italic>h</italic>, <italic>n</italic>, <italic>a</italic><sub>p</sub>, <italic>a</italic><sub>e</sub>, <italic>f</italic><sub>z</sub>) as design variables, a multi-objective optimization model is constructed to balance machining efficiency and tool life. …”
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  19. 1719

    Principal networks. by Jonathan D Clayden, Michael Dayan, Chris A Clark

    Published 2013-01-01
    “…This is an important problem because most cognitive functions would be expected to involve some but not all brain regions. …”
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  20. 1720

    Removal of caffeine from aqueous solution by green approach using Ficus Benjamina zero-valent iron/copper nanoparticles by Hossam Mohammed Abdel-Aziz, Rabie Saad Farag, Soha Ali Abdel-Gawad

    Published 2020-12-01
    “…Overall, FB-Fe/Cu is a committed green substance for removal Caffeine from aqueous solutions. Functional parameters affect investigated using the Linear regression analysis, we found them to account for over 98% of the variables affecting the removal procedure.…”
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