Showing 1,361 - 1,380 results of 1,457 for search '(( variable function efficiency. ) OR ( variables function efficiency. ))~', query time: 0.21s Refine Results
  1. 1361

    Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks by Deeksha Rastogi, Haoran Niu, Linsey Passarella, Salil Mahajan, Shih‐Chieh Kao, Pouya Vahmani, Andrew D. Jones

    Published 2025-02-01
    “…Modifications, such as incorporating elevation data and data pre‐processing enhances overall model performance, while using exponential and quantile loss functions improve the simulation of extremes. Our findings show SRCNN models efficiently and skillfully downscale precipitation from GCMs. …”
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    Article
  2. 1362

    Development of a Data‐Driven Lightning Scheme for Implementation in Global Climate Models by Vincent Verjans, Christian L. E. Franzke

    Published 2025-02-01
    “…Abstract This study proposes a new lightning scheme applicable at the global scale, predicting lightning rates from climatic variables. Using satellite lightning records spanning a period of 29 years, we apply machine learning methods to derive a functional relationship between lightning and climate reanalysis data. …”
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    Article
  3. 1363

    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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    Article
  4. 1364

    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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    Article
  5. 1365

    Dimensions-Reduced Volterra Digital Pre-Distortion Based On Orthogonal Basis for Band-Limited Nonlinear Opto-Electronic Components by Hananel Faig, Yaron Yoffe, Eyal Wohlgemuth, Dan Sadot

    Published 2019-01-01
    “…In addition to the analytical modeling approach, a nonparametric method is developed by applying eigenvalue decomposition on the correlation matrix, which is required for the case of dependent random variables, or for the case of unknown probability distribution functions. …”
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    Article
  6. 1366

    Order assignment mechanism based on hierarchical decomposition and element matching by ZHANG Xinyue, LYU Weimin, WEI Dingjiang, YANG Dongsheng

    Published 2025-06-01
    “…This integrates and coordinates operational tasks, ensures no resource conflicts, and provides alternatives for responding to battlefield variables. The approach employs a planning network model to illustrate the logical interrelationships among operations. …”
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    Article
  7. 1367

    Simulation of wheat yield by nitrogen and nonlinearity of environmental conditions by Ana P. B. Trautmann, José A. G. da Silva, Manuel O. Binelo, Antonio C. Valdiero, Luana Henrichsen, Natiane C. F. Basso

    Published 2019-12-01
    “…The experimental design was a randomized block design with four repetitions in a 4 x 3 factorial scheme for N-fertilizer doses (0, 30, 60, 120 kg ha-1) and nutrient supply forms [100% in phenological stage V3 (third expanded leaf); (70%/30%) in the phenological stage V3/V6 (third and sixth expanded leaf) and; fractionated (70%/30%) at the phenological stage V3/E (third expanded leaf and beginning of grain filling)], respectively, in the soybean/wheat and corn/wheat systems. The pertinence functions and the linguistic values established for the input and output variables are adequate for the use of fuzzy logic. …”
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    Article
  8. 1368

    Exploring the Impact of School-Based Physical and Perceived Environments on Students’ Physical Activity During Recess: A Case Study of Four Schools in Xi’an, China by Qing Wang, Yan Wang, Lan Zhou, Yong Nan

    Published 2024-10-01
    “…The study’s results confirmed previous findings from a social–ecological perspective and provide a comprehensive assessment framework that includes the spatial organization/spatial quality of the school and the perceived variables of safety, comfort, aesthetics, accessibility and functionality. …”
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  9. 1369

    A Multi-objective Transmission Expansion Planning Strategy: A Bilevel Programming Method by S. Zolfaghari-Moghaddam, T. Akbari

    Published 2018-12-01
    “…The LMP of buses are dual variables of the corresponding active power balance equation. …”
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    Article
  10. 1370

    Antigenic characterization of the human immunodeficiency virus (HIV-1) envelope glycoprotein precursor incorporated into nanodiscs. by Kristen C Witt, Luis Castillo-Menendez, Haitao Ding, Nicole Espy, Shijian Zhang, John C Kappes, Joseph Sodroski

    Published 2017-01-01
    “…Here we investigate variables associated with reconstitution of the HIV-1 Env precursor into nanodiscs, nanoscale lipid bilayer discs enclosed by membrane scaffolding proteins. …”
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    Article
  11. 1371

    Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

    Published 2024-05-01
    “…Their research showed that the variables of human resources, knowledge production infrastructure, interactions, strategy, culture, and laws and policies respectively have the greatest impact on organizational readiness for academic knowledge commercialization. …”
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    Article
  12. 1372

    Importance of ice algae versus phytoplankton in the diet of megabenthic organisms under contrasting sea ice conditions (Canadian Arctic): a dual biochemical approach (SIA and HBIs) by Thibaud Combaz, Thibaud Combaz, Ursula Witte, Thomas A. Brown, Philippe Archambault

    Published 2025-06-01
    “…Finally, the spatial variability in resource utilisation by ophiuroids is likely related to area’s specificities (e.g., primary production, ice break-up timing, grazer abundance) and highlighted their ability to adapt to available food by switching their feeding types. …”
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    Article
  13. 1373

    Exploring user usability perceptions and acceptance of chording-enabled keyboards: A perspective between human-computer interaction by Jeryllou Kay O. San Pedro, Ardvin Kester S. Ong, Sean Dominic O. Mendoza, Jann Ryan J. Novela, Ma. Janice J. Gumasing

    Published 2024-10-01
    “…The objective of this study was to determine the variables affecting the acceptance and perceptions of people towards chording-enabled keyboards. …”
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    Article
  14. 1374

    Tranexamic acid impairs plasmin generation on human mesenchymal stem cells and derived membrane microvesicles, halting pericellular proteolysis by Ramy Abou Rjeily, Christina Mrad, Fatiha Z. El-Ghazouani, Florence Toti, Audrey Cras, Audrey Cras, Eduardo Angles-Cano

    Published 2025-06-01
    “…Cells thus obtained were seeded in multi-well plates and treated with different concentrations of plasminogen and pro-urokinase in the presence or absence of variable amounts of tranexamic acid. We measured MVs formation and phenotypical changes occurring on MSCs. …”
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  15. 1375

    Impedance-based sensitivity analysis for enhanced dynamic stability in DC off-grid hydrogen production systems by Chenguang Zhang, Zhongjian Kang, Bin Li, Hongyang Zhang, Di Zhu

    Published 2025-07-01
    “…DC off-grid hydrogen production systems, employing source–hydrogen interface converters to achieve efficient renewable energy conversion and electrolysis coupling, represent a core technological solution for green hydrogen generation. …”
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    Article
  16. 1376

    Dynamic ensemble-based machine learning models for predicting pest populations by Ankit Kumar Singh, Md Yeasin, Ranjit Kumar Paul, A. K. Paul, Anita Sarkar

    Published 2024-12-01
    “…This study introduces a dynamic ensemble model with absolute log error (ALE) and logistic error functions using four machine learning models—artificial neural networks (ANNs), support vector regression (SVR), k-nearest neighbors (kNN), and random forests (RF). …”
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  17. 1377

    ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN by Madiyar SULTANBEK, Nazdana ADILOVA, Aleksander SŁADKOWSKI, Arnur KARIBAYEV

    Published 2023-09-01
    “…Qualitative methods rely on judgments and opinions, while quantitative methods utilize historical data or identify causal relationships between variables. Overall, the present study highlights the critical role of demand forecasting in the railway freight transportation industry and its impact on efficient planning and decision-making processes.…”
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  18. 1378

    COBRAme: A computational framework for genome-scale models of metabolism and gene expression. by Colton J Lloyd, Ali Ebrahim, Laurence Yang, Zachary A King, Edward Catoiu, Edward J O'Brien, Joanne K Liu, Bernhard O Palsson

    Published 2018-07-01
    “…This reformulated model gives functionally identical solutions to previous E. coli ME-models while using 1/6 the number of free variables and solving in less than 10 minutes, a marked improvement over the 6 hour solve time of previous ME-model formulations. …”
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  19. 1379

    In vitro study of macro and micro nutrients decline in MS medium on growth and development levels of Acacia tortilis (Forssk.) Hayne. by Seyed Mohammad Hosseini Nasr, Marziyeh Valizadeh, Seyed Ali Razavi

    Published 2024-10-01
    “…Acacia tortilis is one of the valuable species growing in the southern regions of Iran, which is highly considerable for a variety of reasons such as stabilization of quicksand, medicinal uses and ecological functions. Low germination capacity of seeds, hard rooting of cuttings, the value of aesthetics and multiple medicinal uses highlight the importance of further research to explore methods for easy and efficient propagation of this species in vitro. …”
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    Article
  20. 1380

    Public Procurement Reforms and Service Delivery in Rubanda District Uganda. by Niwagaba, Ivan

    Published 2024
    “…The research questionnaire was dusignin likert scale form and it tapped data on the study variables and data analysis involved the use of such tools as frequencies, correlations and regressions to address the research study objectives. …”
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