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741
qDESH: a method to quantify disproportionately enlarged subarachnoid space hydrocephalus
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742
Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow
Published 2025-06-01“…The Pearson’s correlation coefficient (PCC) and Cosine Amplitude Sensitivity (CAS) as feature (input) selection process determine the only precipitation (P m ) as the most effective input variable among a list of on-site potential climate time series parameters recorded in the study area. …”
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743
The balance evaluation systems test (BESTest), mini-BESTest and brief-BESTest as clinical tools to assess balance control across different populations: A reliability generalization...
Published 2025-01-01“…In this study, the heterogeneity of reliability coefficients in each instrument is evaluated. If heterogeneity is significant, a moderator analysis is performed to identify the characteristic which explains such variability.…”
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744
Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis
Published 2025-08-01“…The network exhibited a sparse overall density (0.0055) but a high clustering coefficient (0.7700), indicating the presence of distinct thematic communities. …”
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745
Novel Approximations to the Damped Parametric Driven Pendulum Oscillators
Published 2023-01-01“…For analyzing and solving the current pendulum equation, we reduce this equation to the damped Duffing equation (DDE) with variable coefficients. After that, the DDE with variable coefficients is divided into two cases. …”
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746
Stability analysis of grid-connected hydropower plant considering turbine nonlinearity and parameter-varying penstock model
Published 2025-04-01“…The nonlinear state space equations of GCHTGS with PVM and variable transfer coefficients are established. First, the influence of different penstock models on stability is investigated, and the comparison results show that the proposed PVM has a more precise stability region. …”
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747
Optimization of the flow guiding fins configuration and tube arrangements in a shell and tube heat exchanger: coupling response surface methodology and CFD
Published 2025-08-01“…In both laminar and turbulent flow regimes, the objective functions include the maximum heat transfer and the minimum pressure drop. …”
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748
Examining the Factors Affecting the Use of Crypto Assets as Foreign Payment and Investment Instruments: A Quantitative Study
Published 2024-09-01“…Along with path coefficients, f² and q² effect sizes were also analyzed to examine the interaction between the variables. …”
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749
VARIATION OF EMBRYO WEIGHT IN BREEDING ACCESSIONS OF CARROT
Published 2017-07-01“…The aim of the work was to study the dry weight of carrot-embryos and calculate the main characteristics regarding their variability among different accessions that were obtained through both inbreeding and outbreeding methods. …”
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750
Magnetic Field Effects on Convective Heat Transfer of Ferrofluid from a Heated Sphere in Porous Media
Published 2025-05-01“…For increasing Ha, the figure of streamlines seems to depict functions with more gradual changes, and for isotherms, it represents functions with sharper, exponential-like increases. …”
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751
The Effect of Working Capital on Investment: Evidence from the Tehran Stock Exchange
Published 2025-09-01“…The inclusion of working capital variables reveals higher cash flow coefficients, indicating that conventional models systematically underestimate internal financing's contribution to investment. …”
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752
Correlation of Immune Parameters in Breast Cancer Patients Undergoing General Anesthesia: post-hoc Analysis of the TeMP Study
Published 2025-02-01“…In the TIVA group, changes were variable: immunoglobulin levels increased at 1 hour (P<0.001) but decreased at 24 hours (P<0.001). …”
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753
Meristic and morphometric comparison of an undescribed sucker of the Río Culiacán (Catostomus sp.) and Yaqui sucker (Catostomus bernardini) (Catostomidae, Teleostei) from the Sierr...
Published 2016-06-01“…Likewise, the discrimination was associated with the lowest values for predorsal distance, soft posterior ocular margin to occiput, and number of anal rays. The standardized coefficients for canonical variables 1 and 2 accounted 82.6% of the total variation. …”
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754
A New Modeling Method for Meteorological Information of Regional Distributed Photovoltaic Power Generation Based on Multi‐Source Information Fusion
Published 2025-08-01“…The Current challenges in DPV meteorological information fusion computation include feature engineering, the reasonable selection of input variables and preliminary establishment of mapping relationships. …”
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755
Animal welfare and biosecurity correlation in buffalo farm evaluated by ClassyFarm system
Published 2023-11-01“…The two variables were positively correlated (Spearman’s Rho=0.501; p<0.001). …”
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756
Combined Surfactant and Enzyme-Assisted Extraction of Pectin from Hawthorn (Crataegus monogyna Jacq.) Fruits
Published 2021-12-01“…The experiment featured three independent variables – temperature, time, and solvent-to-material ratio. …”
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757
Modeling and Regulation of Dynamic Temperature for Layer Houses Under Combined Positive- and Negative-Pressure Ventilation
Published 2024-10-01“…Additionally, a temperature control method for a layer house is designed using a variable universe fuzzy PID control algorithm (VFPID). …”
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758
Feasibility and psychometric quality of smartphone administered cognitive ecological momentary assessments in women with metastatic breast cancer
Published 2025-01-01“…Test-retest reliability was examined using intraclass correlation coefficients (ICCs) for each EMA, and Pearson's correlation were used to evaluate convergent validity between cognitive EMAs and baseline clinical cognitive and psychosocial variables. …”
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759
Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys
Published 2025-04-01“…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
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760
Drug Release Analysis and Optimization for Drug-Eluting Stents
Published 2013-01-01“…The diffusion coefficients and the coating thickness are selected as design variables. …”
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