Showing 1,161 - 1,180 results of 2,280 for search '(( variables function coefficiency. ) OR ( variable function efficiency. ))*', query time: 0.17s Refine Results
  1. 1161

    Alleviative Effect of Exogenous Application of Fulvic Acid on Nitrate Stress in Spinach (<i>Spinacia oleracea</i> L.) by Kangning Han, Jing Zhang, Cheng Wang, Youlin Chang, Zeyu Zhang, Jianming Xie

    Published 2024-10-01
    “…FA application promoted the accumulation of biomass in spinach under nitrate stress and increased chlorophyll content, the net photosynthetic rate, the maximum photochemical quantum yield of PSII (Photosystem II) (Fv/Fm), the quantum efficiency of PSII photochemistry [Y(II)], the electron transport rate, and the overall functional activity index of the electron transport chain between the PSII and PSI systems (PItotal); moreover, FA decreased PSII excitation pressure (1 − qP), quantum yields of regulated energy dissipation of PSII [Y(NPQ)], and the relative variable initial slope of fluorescence. …”
    Get full text
    Article
  2. 1162

    Environmental impacts of floating solar panels on freshwater systems and their techno-ecological synergies by Sofia M G Rocha, Alona Armstrong, Stephen J Thackeray, Rebecca R Hernandez, Andrew M Folkard

    Published 2024-01-01
    “…However, understanding of the ecological consequences for water bodies is very limited despite the variable and far-reaching range of potential impacts. …”
    Get full text
    Article
  3. 1163

    CAPITAL STRUCTURE AND FINANCIAL PERFORMANCE OF LISTED DEPOSIT MONEY BANKS IN NIGERIA by Kenneth S. Adeyemi, Lateef Olabisi Adedeji

    Published 2023-11-01
    “… The role of capital structure decision is critical to the performance of any bank. For any bank to efficiently perform its function of financial intermediation, it must be financially structured. …”
    Get full text
    Article
  4. 1164

    Decomposed Linear Dynamical Systems (dLDS) models reveal instantaneous, context-dependent dynamic connectivity in C. elegans by Eva Yezerets, Noga Mudrik, Adam S. Charles

    Published 2025-08-01
    “…Abstract Mounting evidence indicates that neural “tuning” can be highly variable within an individual across time and across individuals. …”
    Get full text
    Article
  5. 1165

    Preparation of Trop2-targeted chimeric antigen receptor T cells and study of their exhaustion status in vitro by LIU Xiuying, LI Xinzhan, ZHU Jingjing, ZHU Jingjing

    Published 2025-08-01
    “…Methods‍ ‍The second-generation CAR plasmid was constructed based on the single-chain variable fragment (scFv) sequence of Sacituzumab Govitecan targeting Trop2. …”
    Get full text
    Article
  6. 1166

    Sexuality Assessment in Women Diagnosed with Ovarian Cancer by Patricio Jaramillo Guerrero, Edison Enrique Sotalin Nivela, Eduardo Leonel Alvarado Pico

    Published 2023-10-01
    “…<br /><strong>Objective:</strong> to evaluate sexuality in women diagnosed with ovarian cancer, with central interest in changes in sexual function, sexual desire, sexual satisfaction and sexual problems related to the disease and its treatment. …”
    Get full text
    Article
  7. 1167

    An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

    Published 2025-01-01
    “…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
    Get full text
    Article
  8. 1168

    A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

    Published 2025-08-01
    “…To further enhance model inputs, Variational Mode Decomposition (VMD) is applied to extract informative Intrinsic Mode Functions (IMFs) from the selected features. A comparative evaluation of the models indicates that recurrent neural networks, particularly GRU and LSTM, deliver superior performance across various metrics, including RMSE, MAE, nRMSE, nMAE, R², and the correlation coefficient. …”
    Get full text
    Article
  9. 1169

    p53 transactivation and the impact of mutations, cofactors and small molecules using a simplified yeast-based screening system. by Virginia Andreotti, Yari Ciribilli, Paola Monti, Alessandra Bisio, Mattia Lion, Jennifer Jordan, Gilberto Fronza, Paola Menichini, Michael A Resnick, Alberto Inga

    Published 2011-01-01
    “…<h4>Methodology/principal findings</h4>Given the many factors that might influence p53 function, including expression levels, mutations, cofactor proteins and small molecules, we expanded our previously described yeast-based system to provide the opportunity for efficient investigation of their individual and combined impacts in a miniaturized format. …”
    Get full text
    Article
  10. 1170

    EM Algorithm in the Modified Slash Power Maxwell Distribution with an Application by Francisco A. Segovia, Yolanda M. Gómez, Héctor J. Gómez, Inmaculada Barranco-Chamorro, Héctor W. Gómez

    Published 2025-04-01
    “…We study its probability density function and some properties, such as moments, asymmetry and kurtosis coefficient. …”
    Get full text
    Article
  11. 1171

    Influence of structural surface roughness on the strength of layered fill bodies based on PFC2D by Jinxing WANG, Zongsheng HU, Huazhe JIAO, Xiaolin YANG, Qi ZHANG, Xiaohui LIU, Ping XU, Junqiang XU, Xun CHEN

    Published 2025-05-01
    “…The relationship between cemented surface roughness and backfill strength is examined by analyzing variables such as cemented surface roughness, mass fraction of slurry, cement-to-sand ratio, and filling interval time. …”
    Get full text
    Article
  12. 1172

    Optimization of power output in plateau photovoltaic power stations using a hybrid Kepler and Gaussian quantum particle swarm algorithm by Shuang Gan, Heng Hu, Shaoshuai Li, Qian Peng, Taidong Yan, Huasheng Gong, Yuancheng Zhang

    Published 2025-07-01
    “…The optimization process is modeled with key decision variables, including panel configurations, snow removal strategies, and system efficiency adjustments. …”
    Get full text
    Article
  13. 1173

    Robust IoT Activity Recognition via Stochastic and Deep Learning by Xuewei Wang, Shihao Wang, Xiaoxi Zhang, Chunsheng Li

    Published 2025-04-01
    “…Our approach begins with a rigorous preprocessing pipeline—encompassing filtering and normalization—to enhance data quality, followed by the application of probability density functions and key statistical measures to capture intrinsic sensor characteristics. …”
    Get full text
    Article
  14. 1174

    Factors Determining Trade Credit Dynamics During Crisis: Panel Data Analysis for Macedonian Firms by F. Deari, V. V. Lakshina

    Published 2019-05-01
    “…The study includes a review of the literature on commercial credit factors; elaborately analyzed descriptive statistics of the collected data and dependent variable variance; tests for unobservable effects and their functional form; evaluation of panel regression and interpretation of the results. …”
    Get full text
    Article
  15. 1175

    Modelling Geographically Weighted Truncated Spline Regression Using Maximum Likelihood Estimation for Human Development Disparities by Laode Muhammad Saris, Henny Pramoedyo, Adji Achmad Rinaldo Fernandes

    Published 2025-03-01
    “…Among these, the Bi-Square weighting function performed the best, achieving a coefficient of determination of 99.999%, demonstrating the model’s capability to explain nearly all data variability effectively. …”
    Get full text
    Article
  16. 1176

    Research and development of thick plate shape prediction system based on industrial big data by Yufei MA, Changxin LIU, Wei KONG, Jinliang DING

    Published 2021-09-01
    “…Thick plate shape is one of the important indicators to measure the quality of thick plate products.The timely prediction of the final plate shape in production is of great significance for adjusting the operation and control of thick plate production.In actual industrial production, thick plate data has many characteristics, such as multiple coupling information, large amount of redundant information, and multi-source heterogeneity of data.Combining the needs of thick plate shape prediction, a thick plate shape prediction system was designed and developed.The data dump function was used to filter and preprocess the industrial big data to remove the coupling information and redundant variables in the data.LSTM neural network, convolutional neural network and 3D convolutional neural network were used to extract data features from data of different dimensions, and the features were fused based on the maximum mutual information coefficient to establish an integrated learning prediction model, which effectively solved the modeling difficulties caused by multi-source heterogeneous data.The actual industrial data of a domestic thick plate production line was used for verification, and the results showed the effectiveness of the developed system.…”
    Get full text
    Article
  17. 1177

    On the approximation of sum of lognormal for correlated variates and implementation. by Asyraf Nadia Mohd Yunus, Nora Muda, Abdul Rahman Othman, Sonia Aïssa

    Published 2025-01-01
    “…In probabilistic modeling across engineering, finance, and telecommunications, sums of lognormal random variables frequently occur, yet no closed-form expression exists for their distribution. …”
    Get full text
    Article
  18. 1178

    Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics by Jordan Henderson BS, Santiago Logan-Baca BS, Sara Kisiel BS, Fadi Muheidat PhD, David Jaffe MD

    Published 2024-12-01
    “…Surveys utilized were the Foot and Ankle Ability Measure Computerized Adaptive Testing (FAAM CAT), PROMIS physical function, mobility and pain interference scores, and Visual Analog Scale (VAS). …”
    Get full text
    Article
  19. 1179

    Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau by WANG Zhenliang, CHEN Manyu, ZHAO Jianlin, YUAN Ke, YANG Jie, ZHANG Chen

    Published 2024-12-01
    “…Then the correlations between rainfall factors and landslide shape variables were calculated to determine the rainfall days and effective rainfall attenuation coefficient in the early period. …”
    Get full text
    Article
  20. 1180

    Encapsulation Based Method for Natural Frequency Identification of Deployable Solar Arrays with Multiple Plates by Chunjuan Zhao, Xiangyu Zhao, Shanbo Chen, Jisong Yu, Lei Zhang

    Published 2021-01-01
    “…However, for the batch production of small satellites, the accuracy and efficiency of traditional ground modal testing methods are limited. …”
    Get full text
    Article