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Aerosol Retrievals From SPEXone on the NASA PACE Mission: First Results and Validation
Published 2025-02-01Get full text
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Clinical efficacy of peek patient-specific implants in orbital reconstruction
Published 2020-04-01Get full text
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Immune Infiltration of Ulcerative Colitis and Detection of the m6A Subtype
Published 2022-01-01“…Then, PCA of the 12 m6A-regulated genes indicated that the two patient groups could be discriminated in both PC1 and PC2 dimensions. The ssGSEA algorithm found that immune invading cells could be easily distinguished across diverse patient groups. …”
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Analysis of the 10-day ultra-marathon using a predictive XG boost model
Published 2024-12-01Get full text
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Personalized game-based digital intervention for relieving depression and anxiety symptoms: a pilot RCT
Published 2025-07-01Get full text
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Gap-filling of land surface temperature in arid regions by combining Landsat 8 and 9 imageries
Published 2024-01-01“…Land surface temperature (LST) is an important factor in land monitoring studies, but due to the presence of clouds, dust and sensor issues, there are missing values. The aims of this research are to determine the optimal parameters for the reconstruction of Landsat-LST images, required in many applications, by the harmonic analysis of time series algorithm (HANTS) and to investigate the possibility of improving LST reconstruction accuracy using Landsat 8 and 9 images simultaneously. …”
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Host Circulating Immunometabolism-Associated Biomarkers for Early Diagnosis of Active Tuberculosis: Multi-Omics Screening with Experimental Validation
Published 2025-08-01“…Correlation analysis between gene expression and immune cell infiltration was performed using the CIBERSORT algorithm. Single-cell RNA-seq analysis was performed to explore the expression of hub genes in the different immune cells.Results: In this study, we first obtained 41 differentially expressed metabolism-related genes in active TB patients compared to HCs through bulk transcriptomic analysis. …”
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Automating areas of interest analysis in mobile eye tracking experiments based on machine learning
Published 2018-12-01Get full text
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Application of a modified set of GoogLeNet and ResNet-18 convolutional neural networks towards the identification of environmentally derived-MPLs in the Yadkin-pee dee river basin
Published 2024-11-01“…In the unknown microparticle (MP) trial, generally, the most ID’d polymer type was CA, PET, and PE representing a relative concentration range for a given water source and area (MPL/MP) of 4.17–37.5%, 4.17–8.33%, and 4.17–8.33% for CNN and OpenSpecy (OS). A FEDS algorithm, equipped with natural and synthetic polymer standards and biological material, used to compare the strength of each model determined similar frequency in ascertaining positive MPL results across both models with corroboration between the CNN and OS around 1/3 of the time. …”
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