Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0091-6773(78)90923-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Characteristics of Pediatric Allergic Rhinitis With Different Disease Severity.
Mediators Inflamm
January 2025
Department of Otolaryngology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou 510623, China.
Although numerous studies have focused on diagnostic biomarkers to help identify allergic rhinitis (AR), data on the characteristics of pediatric AR with different severity is limited. We aimed to compare the characteristics of pediatric AR with different severity. A total of 1054 children with AR were enrolled and classified into mild intermittent AR, mild persistent AR, moderate-to-severe intermittent AR, and moderate-to-severe persistent AR.
View Article and Find Full Text PDFRats and mice rapidly update timed behaviors.
Anim Cogn
January 2025
Neuroscience Department, Oberlin College, 173 Lorain St, Oberlin, OH, USA.
Keeping track of time intervals is a crucial aspect of behavior and cognition. Many theoretical models of how the brain times behavior make predictions for steady-state performance of well-learned intervals, but the rate of learning intervals in these models varies greatly, ranging from one-shot learning to learning over thousands of trials. Here, we explored how quickly rats and mice adapt to changes in interval durations using a serial fixed-interval task.
View Article and Find Full Text PDFGuided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs.
Comput Biol Med
January 2025
Hamburg University of Technology, Hamburg, Germany.
The application of supervised models to clinical screening tasks is challenging due to the need for annotated data for each considered pathology. Unsupervised Anomaly Detection (UAD) is an alternative approach that aims to identify any anomaly as an outlier from a healthy training distribution. A prevalent strategy for UAD in brain MRI involves using generative models to learn the reconstruction of healthy brain anatomy for a given input image.
View Article and Find Full Text PDFA diffusion-based super resolution model for enhancing sonar images.
J Acoust Soc Am
January 2025
University of Bath, Bath, United Kingdom.
Improved hardware and processing techniques such as synthetic aperture sonar have led to imaging sonar with centimeter resolution. However, practical limitations and old systems limit the resolution in modern and legacy datasets. This study proposes using single image super resolution based on a conditioned diffusion model to map between images at different resolutions.
View Article and Find Full Text PDFIndoleamine 2,3-Dioxygenase 1/Aryl Hydrocarbon Receptor Feedback Loop Mediates Anti-inflammation in lipopolysaccharide-stimulated Astrocytes to Dampen Inflammatory Neurotoxicity.
J Physiol Investig
January 2025
Department and Institute of Physiology, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that regulates cell immune responses in a cell type-specific and ligand-dependent manner. In the central nervous system, astrocytic AhR plays important roles in regulating neuroinflammation by mediating responses to endogenous ligands generated from the inflammation-induced indoleamine 2,3-dioxygenase 1 (IDO1)/kynurenine (KYN) pathway. We previously demonstrated that reduction of AhR expression decreases lipopolysaccharide (LPS)-induced pro-inflammatory responses in microglia.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!