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Effect of Cathode Cooling in Three-Dimensional Simulations of an Atmospheric Pressure Glow Discharge
Published 2024-11-01Get full text
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Cognitive, language and motor developmental patterns of extremely preterm children up to 2 years of age: a descriptive approach
Published 2025-07-01“…However, these medical achievements are often accompanied by significant challenges in their early and long-term developmental competencies. This longitudinal descriptive study aimed to examine the neurodevelopmental patterns, prevalence of developmental delays, and associated risk factors –gestational age (GA) and birth weight (BW)—in Slovak children born at extremely low gestational age (ELGA), from 7 to 8 months of corrected age to 24–25 months of chronological age, focusing on cognitive, motor, and language development.MethodsThe study included 7 female and 10 male ELGA children with a mean GA of 26.0 weeks (SD = 1.2; range = 24–28) and mean BW of 875.8 grams (SD = 171.2; range = 560–1,150). …”
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Effects of nutritional counseling on dietary patterns in patients with mild cognitive impairment: insights from the BrainFit-Nutrition study
Published 2025-04-01“…A decrease in meat, fish, and egg consumption was observed in both groups, with a more marked reduction in the WFPB group.DiscussionThese findings suggest that while targeted dietary interventions can foster healthier dietary patterns among MCI patients, the type of dietary choices may be less impactful for individuals with MCI than participation in dietary interventions in general. …”
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A High-Efficient Method for Synthesizing Multiple Antenna Array Radiation Patterns Simultaneously Based on Convolutional Neural Network
Published 2023-01-01“…The results demonstrate that this method offers the advantage of computational efficiency for simultaneous synthesis of multiple incoherent radiation patterns.…”
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Application of a Sparsity Pattern and Region Clustering for Near Field Sparse Approximate Inverse Preconditioners in Method of Moments Simulations
Published 2017-01-01“…A distance parameter is used to determine the sparsity pattern of the preconditioner. The rows of the preconditioner are computed in groups at a time, according to the number of unknowns contained in each region of the geometry. …”
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Orthopairian fuzzy similarity based on below, above and centre fuzzy sets with applications to pattern recognition and identification of best ISP
Published 2024-10-01“…Furthermore, to show the competency, reliability and applicability of our proposed similarity measure, we present several examples related to pattern recognition and multicriteria decision making. …”
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Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data
Published 2025-08-01“…Current research focuses solely on administrative divisions, overlooking the links between machinery movement, natural spatial patterns, and spatiotemporal dependencies. The direct clustering of GNSS points is inefficient and incurs substantial computational costs. …”
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Early-life snack and drink consumption patterns among children: findings from a U.S. birth cohort study
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Core Concepts Behind Quadripartitioned Neutrosophic Soft Block Matrices
Published 2025-07-01“…The model proves especially valuable for complex decision-making in artificial intelligence, pattern recognition, and fuzzy logic, handling multiple uncertainty layers. …”
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Illumination Invariant Face Recognition using SQI and Weighted LBP Histogram
Published 2024-02-01Get full text
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Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning
Published 2024-01-01“…The field of surface electromyogram (sEMG)-based human-computer interfaces is rapidly evolving through the integration of wearable sensors and deep learning models. …”
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Emotion-Recognition System for Smart Environments Using Acoustic Information (ERSSE)
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tomoseqr: A Bioconductor package for spatial reconstruction and visualization of 3D gene expression patterns based on RNA tomography.
Published 2025-01-01“…RNA tomography computationally reconstructs 3D spatial gene expression patterns genome-widely from 1D tomo-seq data, generated by RNA sequencing of cryosection samples along three orthogonal axes. …”
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