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Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis.
J Imaging Inform Med
January 2025
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.
View Article and Find Full Text PDFForest Soil pH and Dissolved Organic Matter Aromaticity Are Distinct Drivers for Soil Microbial Community and Carbon Metabolism Potential.
Microb Ecol
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State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
The ecological niche separation of microbial interactions in forest ecosystems is critical to maintaining ecological balance and biodiversity and has yet to be comprehensively explored in microbial ecology. This study investigated the impacts of soil properties on microbial interactions and carbon metabolism potential in forest soils across 67 sites in China. Using redundancy analysis and random forest models, we identified soil pH and dissolved organic matter (DOM) aromaticity as the primary drivers of microbial interactions, representing abiotic conditions and resource niches, respectively.
View Article and Find Full Text PDFSpatio-temporal pollution assessment of Kulfo River using CCME-WQI and pollution tolerance index by benthic macroinvertebrates, Arba Minch, Ethiopia.
Environ Monit Assess
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Faculty of Water Supply and Environmental Engineering, Arba Minch University Water Technology Institute, P.O.B 21, Arba Minch, Ethiopia.
In developing nations, the biggest threat to public health is the quality of the water. The Kulfo River provides the majority demand of the domestic water and irrigation along its course; however, it is observed that wastes from anthropogenic and natural activities enter the river. Therefore, this study aimed to examine the pollution status by integrating conventional methods with benthic macroinvertebrates.
View Article and Find Full Text PDFRespiratory and Cardiovascular Medical Emergency Calls Related to Indoor Heat Exposure through a Case-Control Study in New York City.
J Urban Health
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Department of Geography, Florida State University, Bellamy Building, Room 323, 113 Collegiate Loop, PO Box 3062190, Tallahassee, FL, 32306-2190, USA.
Understanding when and where heat adversely influences health outcomes is critical for targeting interventions and adaptations. However, few studies have analyzed the role of indoor heat exposures on acute health outcomes. To address this research gap, the study partnered with the New York City Fire Department Emergency Medical Services.
View Article and Find Full Text PDFRisk and protective factors of disease flare during pregnancy in systemic lupus erythematosus: a systematic review and meta-analysis.
Clin Rheumatol
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Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, No. 1 Shuaifuyuan, Beijing, 100730, China.
To synthesize available evidence on predictive factors associated with systemic lupus erythematosus (SLE) flares during pregnancy, we systematically searched MEDLINE, Embase, and the Cochrane Library through January 2024 for observational studies on risk and protective factors of SLE flares during pregnancy. Odds ratios (OR) and mean differences (MD), as well as their 95% confidence intervals (CI) were used to quantify effect sizes. We employed fixed-effect or random-effect models based on heterogeneity assessments (I statistics).
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