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6501
The impact of Alzheimer's disease on cortical complexity and its underlying biological mechanisms
Published 2025-06-01“…Using surface-based morphometry (SBM), we created vertex-wise maps for group comparisons in terms of five measures: cortical thickness, fractal dimension, gyrification index, Toro’s gyrification index and sulcal depth respectively. …”
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6502
Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit
Published 2020-01-01“…Experiments conducted on various benchmark functions and the case study demonstrate that our proposed all-GPU and multipopulation parallelization models are appropriate; and the multipopulation model achieves the consumption of significantly less execution time than the corresponding sequential model.…”
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6503
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6504
Neural Field-Based Space Target 3D Reconstruction with Predicted Depth Priors
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6505
Research on architectural space design based on an empirical investigation of the communication life of older adults: taking unit-type nursing home as examples
Published 2025-07-01“…Furthermore, urban life functions should be integrated between living units to enhance social communication opportunities for this demographic.…”
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6506
Durable and sustainable service life extension of existing concrete structures: A holistic approach within a life cycle perspective
Published 2025-01-01“…Several case studies with different functionalities, age and damage causes are discussed: (i) a blast furnace slag cement based concrete water reservoir with insufficient post-execution curing, which led to increased carbonation, and therefore required surface protection after 15 years of service, (ii) a 60-year-old high-rise building where reinforcement scans revealed a lack of reinforcement in the balconies and incorrect placement of reinforcement, leading to reduced load-bearing capacity, and therefore required additional strengthening, (iii) a jetty with high chloride contamination and where potential mapping indicates the need of proper electrochemical treatment. …”
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6507
Simulation Modeling of Technological Processes of Logging
Published 2025-02-01“…The widespread introduction of such computer systems in timber harvesting will increase the efficiency of technological maps for the development of forest plots and the substantiation of standard machine performance indicators.…”
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6508
AI‐Based Digital Rocks Augmentation and Assessment Metrics
Published 2025-05-01“…To demonstrate our proposed approach, we evaluate the generated images starting from four distinct digital rock samples, sorted sandstone, synthetic sphere pack, limestone, and poorly sorted sandstone, using Minkowski functionals, image graph network‐based measures, graph Laplacian‐based measures, local trend maps, and a homogeneity‐heterogeneity classifier. …”
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6509
SLPDBO-BP: an efficient valuation model for data asset value
Published 2025-04-01“…Secondly, in an attempt to comprehensively evaluate the optimization performance of SLPDBO, a series of numerical optimization experiments are carried out with 20 test functions and with popular optimization algorithms and dung beetle optimizer (DBO) algorithms with different improvement strategies. …”
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6510
Care for adolescents with drug-susceptible pulmonary tuberculosis in Lima, Peru: a qualitative assessment
Published 2025-03-01“…Data were analysed using the framework method, in which themes were mapped onto four of the five dimensions of care in the WHO’s AFS framework: accessibility, acceptability, appropriateness and effectiveness.Setting 32 public health centres operated by the Peruvian Ministry of Health in Lima from August 2018 to May 2019.Participants In-depth interviews were conducted with 34 adolescents who completed or were lost to follow-up from treatment for DS pulmonary TB disease in the preceding 12 months, their primary caregiver during treatment and 15 nurses or nurse technicians who had at least 6 months of experience supervising TB treatment.Results We found significant barriers to adolescent-friendly TB care, including facility-based directly observed therapy, lack of functioning X-ray machines, staffing shortage of psychologists and nutritionists and inadequate educational support. …”
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6511
PathNetDRP: a novel biomarker discovery framework using pathway and protein–protein interaction networks for immune checkpoint inhibitor response prediction
Published 2025-05-01“…Given these limitations, we developed PathNetDRP, a framework that integrates biological pathways, protein-protein interaction networks, and machine learning to identify functionally relevant biomarkers for ICI response prediction. …”
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6512
Optical Correction of Keratoconus with a Scleral Gas-Permeable Lenses
Published 2019-06-01“…The quality of visual functions depends on the stage of the process. There are 4 stages of keratoconus (according to M. …”
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6513
Automation of aeronautical information processing based on multi-agent technologies
Published 2022-02-01“…In the research process, a formal definition of the multi-agent system of automatic aeronautical information processing is presented, which involves a set of agents, environment of agent functioning, a set of permissible relations between agents, description of rules for forming a network of agents, a set of individual and joint actions, communication interactions, behavior and actions strategies, a possibility of system evolution. …”
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6514
Single-cell sequencing systematically analyzed the mechanism of Emdogain on the restoration of delayed replantation periodontal membrane
Published 2025-04-01“…Single-cell sequencing analyses generated single-cell maps that explored enrichment pathways, cell communication, and potential repair mechanisms. …”
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6515
A transgenic mouse line for rabies virus-mediated trans-synaptic tracing in the postnatal developing brain.
Published 2025-01-01“…Neural circuits are composed of numerous neurons that perform diverse functions. Understanding the mechanisms of neural processing requires elucidating the connections among individual neurons. …”
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6516
Meta-GCANet: Meta-Graph Coupled Aware Network for Cross-Modality Person Re-Identification
Published 2024-01-01“…To further enhance modality-shared representation differentiation, we introduce two loss functions: the Meta-Sample Coupling loss (MSCloss) and the Meta-Sample Testing loss (MTloss). …”
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6517
Pedestrian Sensing and Positioning System Using 2D-LiDAR Based on Artificial Neural Networks Toward 6G
Published 2024-01-01“…The proposed framework integrates 2D-LiDARs and Artificial Intelligence (AI) functionalities to enhance the performance of pedestrian sensing and positioning systems in indoor environments. …”
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6518
Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search
Published 2025-01-01“…As an emerging rapid manufacturing technology, 3D printing has been widely applied in numerous fields such as aerospace, shipbuilding, and wind power, by virtue of its advantage in efficiently fabricating components with complex structures and integrated functions. In response to the problems of poor mechanical properties and difficulty in selecting process parameters for fused deposition modeling (FDM), this paper analyzed the principle of FDM and proposed a parameter optimization method based on a Kriging and Cuckoo Search (CS) algorithm aimed at improving the mechanical properties of 3D printed polylactic acid (PLA) parts. …”
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6519
Design and optimization of human-machine interaction interface for the intelligent Internet of Things based on deep learning and spatial computing
Published 2025-06-01“…NeuroSpatialIOT leverages deep learning to gather data on eye movements, the 2D spatial configuration of the room, and user objectives. NeuroSpatialIOT functions by tracking eye movements, comprehending the room’s 2D layout, and employing deep learning to predict user intentions. …”
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6520
Toward a physics-guided machine learning approach for predicting chaotic systems dynamics
Published 2025-01-01“…Specifically, our method consists of three key elements: a data-driven component (DDC) that captures dynamic patterns and mapping functions from historical data; a physics-guided component (PGC) that leverages the governing principles of the system to inform and constrain the learning process; and a nonlinear learning component (NLC) that effectively synthesizes the outputs of both the data-driven and physics-guided components. …”
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