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1161
Alleviative Effect of Exogenous Application of Fulvic Acid on Nitrate Stress in Spinach (<i>Spinacia oleracea</i> L.)
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. …”
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1162
Environmental impacts of floating solar panels on freshwater systems and their techno-ecological synergies
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. …”
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1163
CAPITAL STRUCTURE AND FINANCIAL PERFORMANCE OF LISTED DEPOSIT MONEY BANKS IN NIGERIA
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. …”
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1164
Decomposed Linear Dynamical Systems (dLDS) models reveal instantaneous, context-dependent dynamic connectivity in C. elegans
Published 2025-08-01“…Abstract Mounting evidence indicates that neural “tuning” can be highly variable within an individual across time and across individuals. …”
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1165
Preparation of Trop2-targeted chimeric antigen receptor T cells and study of their exhaustion status in vitro
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. …”
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1166
Sexuality Assessment in Women Diagnosed with Ovarian Cancer
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. …”
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1167
An algorithm for independent component analysis using a general class of copula-based dependence criteria
Published 2025-01-01“…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
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1168
A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition
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. …”
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1169
p53 transactivation and the impact of mutations, cofactors and small molecules using a simplified yeast-based screening system.
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. …”
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1170
EM Algorithm in the Modified Slash Power Maxwell Distribution with an Application
Published 2025-04-01“…We study its probability density function and some properties, such as moments, asymmetry and kurtosis coefficient. …”
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1171
Influence of structural surface roughness on the strength of layered fill bodies based on PFC2D
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. …”
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1172
Optimization of power output in plateau photovoltaic power stations using a hybrid Kepler and Gaussian quantum particle swarm algorithm
Published 2025-07-01“…The optimization process is modeled with key decision variables, including panel configurations, snow removal strategies, and system efficiency adjustments. …”
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1173
Robust IoT Activity Recognition via Stochastic and Deep Learning
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. …”
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1174
Factors Determining Trade Credit Dynamics During Crisis: Panel Data Analysis for Macedonian Firms
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. …”
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1175
Modelling Geographically Weighted Truncated Spline Regression Using Maximum Likelihood Estimation for Human Development Disparities
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. …”
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1176
Research and development of thick plate shape prediction system based on industrial big data
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.…”
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1177
On the approximation of sum of lognormal for correlated variates and implementation.
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. …”
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1178
Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics
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). …”
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1179
Model Construction of InSAR-based Rainfall Thresholds for Landslide Hazards in Yanhe Basin, Chinese Loess Plateau
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. …”
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1180
Encapsulation Based Method for Natural Frequency Identification of Deployable Solar Arrays with Multiple Plates
Published 2021-01-01“…However, for the batch production of small satellites, the accuracy and efficiency of traditional ground modal testing methods are limited. …”
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