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101
Pan-Cancer Exome-wide analysis of germline mutational patterns and pathways
Published 2025-07-01“…Abstract Cancer progression and development are influenced by a complex interplay between inherited (germline) and acquired (somatic) mutations. …”
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102
Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption
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103
Mass Transfer Patterns during Low-Temperature Concentration of Skim Milk
Published 2024-12-01Get full text
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104
Distinct chromosome abnormality patterns for differential diagnosis of hepatocellular carcinoma and cholangiocarcinoma.
Published 2025-01-01“…These findings may aid in confirming cases with overlapping histopathological features contribute to the development of diagnostic tools and improved targeted therapies for HCC and CCA.…”
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105
Semaphorin7A patterns neural circuitry in the lateral line of the zebrafish
Published 2024-08-01“…In the lateral line sensory system of the zebrafish, developing sensory axons reorganize their terminal arborization patterns to establish precise neural microcircuits around the mechanosensory hair cells. …”
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106
Arginine methylation patterns in LUAD: defining prognostic subtypes and relevance to immunotherapy
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107
Comparative Analysis of MVVM and MVP Patterns Performance on Android Dashboard System
Published 2025-05-01“…These findings provide valuable insights for developers in selecting the optimal design pattern based on the specific needs of their applications.…”
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108
Street Patterns, Visual Permeability, and Spatial Accessibility of Downtown: The Case of Baghdad
Published 2025-02-01“…A comprehensive methodology was developed for this research that combined qualitative and quantitative methods, including field survey, GIS digitization, and space syntax analysis, which enabled an in-depth investigation into the street pattern, visual permeability, and spatial accessibility of the chosen case studies. …”
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109
Identification and classification of solid–liquid flow patterns in deviated and horizontal annuli
Published 2025-06-01“…The experimental data were then used to construct flow pattern maps with solid/liquid phases as axes, after which the transition boundaries between different flow patterns were established.The morphological characteristics and transition mechanisms of SB, SW, SD, and BL flows were systematically analyzed to develop three predictive models of the fluid dynamics principles governing these flow patterns’ transitions: (1) A transition boundary model of SB and SW flows was established using Kelvin–Helmholtz stability, for which a stability analysis of solid–liquid two-phase flow in deviated and horizontal annuli was carried out. (2) A transition boundary model of SW and SD flows was constructed through an analysis of the geometric features of sand waves in the annuli, with the critical ratio of the average height of a cuttings bed to its height after erosion being 0.45. (3) A traditional critical velocity model was refined by adjusting the von Karman constant to account for the effect of solid volume concentration, yielding a boundary model for the transition of SW or SD flow into BL flow. …”
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110
Multi-Scale Venation Pattern Analysis for Medicinal Plant Species Recognition
Published 2025-01-01“…This research addresses the challenge of medicinal plant species recognition based on leaf images by focusing on venation patterns as discriminative features. Venation patterns—defined by the hierarchical arrangement of veins within a leaf—carry significant taxonomic information that is often overlooked by conventional plant classification approaches. …”
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111
State-and-Evolution Detection Model for Characterizing Farmland Spatial Pattern Variation in Hengyang Using Long Time Series Remote Sensing Product
Published 2024-12-01“…Finally, spatiotemporal evolution features, namely evolution times, evolution duration, and dominant evolution pattern, were quantified. …”
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112
Distinct Patterns of Smooth Muscle Phenotypic Modulation in Thoracic and Abdominal Aortic Aneurysms
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113
Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle A...
Published 2024-11-01“…Secondly, the Local Binary Patterns (LBP) feature descriptor is utilized to extract features from the identified eye, nose, and mouth regions. …”
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114
Motivational and valuable regularities and akmeologicheskys mechanisms of development of future engineer
Published 2022-05-01“…The item presents a view on the specific points and the structure of the motivation-value features in those studying to become engineers; there is a presentation of the patterns and mechanisms determining their acmeological development.…”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns
Published 2025-01-01“…Both students’ feature vectors and behavior models constitute a comprehensive student’s learning behavioral pattern which is later used for the prediction of their course achievement. …”
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117
Composition pattern-aware web service recommendation based on depth factorisation machine
Published 2021-10-01“…Web service composition has become a prevalent software development method that enables developing powerful Mashups by effectively combining Web services with different functions. …”
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118
Forced Convection Heat Transfer in V-Pattern Folded Core Sandwich Structures
Published 2022-01-01“…Fully developed laminar flow and heat transfer performance of V-pattern folded core sandwich structures subjected to forced convection are numerically investigated. …”
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119
Osteoarthritis progression pattern based on patient specific characteristics using machine learning
Published 2025-07-01“…Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. …”
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120
Tool Wear Monitoring Technology and Its Application in Heavy Cutting
Published 2022-02-01“…In order to discuss the tool wear monitoring technology and its application in heavy cutting, taking the common cutting tool wear monitoring as the research object, the most widely used and emerging key technologies, methods and principles in tool wear monitoring are deeply analyzed from the aspects of signal acquisition, feature processing, pattern recognition and decision control.Their advantages and disadvantages are analyzed in detail.Then the application of tool wear monitoring in heavy cutting are explained and analyzed.The achievements and progress made by domestic and foreign scholars in the field of tool wear monitoring are described, and the future development trend is prospected. …”
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