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521
Error-Function-Based Penalized Quantile Regression in the Linear Mixed Model
Published 2025-07-01“…This is a method of variable selection by ERror Function (ERF) regularization in the linear effects model. …”
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522
Cross-Modal Hashing Retrieval Based on Density Clustering
Published 2025-01-01Get full text
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523
Association between long-term visit-to-visit resting heart rate variability and cognitive decline: evidence from two national cohorts
Published 2025-08-01“…Similar results were observed from several sensitivity analyses, including using average real variability and coefficient of variation for RHRV, additionally adjusted for physical activity, excluding participants who had heart problems at baseline, and further adjusting for the C-reactive protein in the CHARLS. …”
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524
Rapid global antenna design by simplex regressors and multi-resolution simulations
Published 2025-04-01Get full text
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525
Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques
Published 2024-09-01“…This now leads to a maximum Nash-Sutcliffe Efficiency of 0.91 for the Saint-Venant equations during the 2019 flood event, followed by ANN with 0.89, ANFIS with 0.87, SVM with 0.85, and lastly, Transfer Function with 0.78. …”
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526
Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River)
Published 2016-08-01“…However, taking lessons from spatial ecology, it is likely that spatial variability is the key, rather than the obstacle, to understanding the structure and function of soil biodiversity. …”
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527
A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter
Published 2023-01-01“…This paper proposes a Model Predictive Current Control (MPCC) based variable sampling time interleaving method to improve the current shaping ability, power conversion efficiency, power density and current ripple reduction of a two-phase totem pole bridgeless boost power factor correction (PFC) converter. …”
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528
Structural Analysis of Multi-Core Processor and Reliability Evaluation Model
Published 2025-02-01“…In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. …”
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529
Can Emotional and Behavioral Dysregulation in Youth Be Decoded from Functional Neuroimaging?
Published 2016-01-01“…Medication was treated as a binary confounding variable. Decoded and actual clinical scores were compared using Pearson's correlation coefficient (r) and mean squared error (MSE) to evaluate the models. …”
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530
Differential Transform Algorithm for Functional Differential Equations with Time-Dependent Delays
Published 2020-01-01“…We focus on retarded equations with delays which in general are functions of the independent variable. The delayed differential equation is turned into an ordinary differential equation using the method of steps. …”
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531
Fuzzy Logic Technique Based on Classification Function Application in Quality Control
Published 2025-01-01“…Fuzzy control charts were used to quickly and accurately identify the production specifications and efficiency. This work uses the triangle membership function to generate fuzzy numbers, which are then transformed into quality control charts for the real data obtained using the proposed ranking function. …”
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532
Novel Pythagorean fuzzy score function to optimize fuzzy transportation models
Published 2025-03-01“…Through comprehensive numerical analysis, In Type-1 IVPFTP the cost dropped from 5.19 to 0.675, for Type-2 IVPFTP cost dropped from 0.2615 to 0.001869 and for Type-3 IVPFTP cost dropped from0.17435 to 0.0013879.Thereafter, it was observed that the proposed score function provides a more optimal transportation cost.Also, our findings demonstrate the significant cost reductions and improved decision-making capabilities across different types of IVPFTP models to highlight the efficiency of the proposed score function in handling uncertainty within the transportation problems.…”
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533
Radiographic and Functional Results following Subtalar Arthroereisis in Pediatric Flexible Flatfoot
Published 2019-01-01“…Two expert surgeons from the Pediatric Orthopedics Unit took separate measurements of these angles for subsequent analysis purposes and to obtain the interobserver correlation coefficient for quantitative variables. Pre- and postoperative differences in the measurement of angles were ascertained using Student’s t-test for paired samples; and a functional evaluation of the patients intervened was carried out pre- and postoperatively by administering the parent version of the Oxford Ankle Foot Questionnaire for Children (OxAFQ-C) during a clinical interview. …”
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534
Study of kinetic performance effect on wheel and rail wear using computer simulation
Published 2016-06-01“…Under some conditions, there are cases when an increase in the friction coefficient is accompanied by a decrease in depreciation. …”
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535
Functional capacity: association with risk for falls, fear of falling and pain in the elderly
Published 2021-08-01“…Spearman’s Correlation Coefficient was used to associate the continuous variables with the Fear of Falling Scale. …”
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536
Production components of corn as function of seed distribution along the planting row
Published 2015-12-01Get full text
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537
Increased variability in response to transcranial direct current stimulation in healthy older compared to young adults: A systematic review and meta-analysis
Published 2025-07-01“…Across 19 studies comprising 390 older adults (mean ± SD age: 67 ± 5 years) and 384 young adults (mean ± SD age: 24 ± 3 years) receiving transcranial direct current (tDCS), we quantified behavioral variability using the log-transformed coefficient of variation ratio (lnCVR). …”
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538
Cross-subject affective analysis based on dynamic brain functional networks
Published 2025-04-01“…We then extracted three network attribute features—global efficiency, local efficiency, and local clustering coefficients—to achieve emotion classification based on dynamic brain network features.ResultsThe proposed method is evaluated on the DEAP dataset through subject-dependent (trial-independent), subject-independent, and subject- and trial-independent experiments along both valence and arousal dimensions. …”
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539
A Versatile Distribution Based on the Incomplete Gamma Function: Characterization and Applications
Published 2025-05-01“…We analyze the probability density function and explore fundamental properties, including moments, skewness, and kurtosis coefficients. …”
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540