5,854 research outputs found
Anti-periodic solutions to a parabolic hemivariational inequality
summary:In this paper we deal with the anti-periodic boundary value problems with nonlinearity of the form , where Extending to be multivalued we obtain the existence of solutions to hemivariational inequality and variational-hemivariational inequality
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Diffusion models have become a popular approach for image generation and
reconstruction due to their numerous advantages. However, most diffusion-based
inverse problem-solving methods only deal with 2D images, and even recently
published 3D methods do not fully exploit the 3D distribution prior. To address
this, we propose a novel approach using two perpendicular pre-trained 2D
diffusion models to solve the 3D inverse problem. By modeling the 3D data
distribution as a product of 2D distributions sliced in different directions,
our method effectively addresses the curse of dimensionality. Our experimental
results demonstrate that our method is highly effective for 3D medical image
reconstruction tasks, including MRI Z-axis super-resolution, compressed sensing
MRI, and sparse-view CT. Our method can generate high-quality voxel volumes
suitable for medical applications.Comment: ICCV23 poster. 15 pages, 9 figure
Impacts of Heavy Rain and Typhoon on Allergic Disease
AbstractObjectivesAllergic disease may be increased by climate change. Recent reports have shown that typhoon and heavy rain increase allergic disease locally by concentration of airborne allergens of pollen, ozone, and fungus, which are causes of allergic disease. The objective of this study was to determine whether typhoon and heavy rain increase allergic disease in Korea.MethodsThis study included allergic disease patients of the area declared as a special disaster zone due to storms and heavy rains from 2003 to 2009. The study used information from the Korea Meteorological Administration, and from the National Health Insurance Service for allergic diseases (asthma, allergic rhinitis, and atopic dermatitis).ResultsDuring a storm period, the numbers of allergy rhinitis and atopic dermatitis outpatients increased [rate ratio (RR) = 1.191; range, 1.150–1.232] on the sixth lag day. However, the number of asthma outpatients decreased (RR = 0.900; range, 0.862–0.937) on the sixth lag day after a disaster period. During a storm period, the numbers of allergic rhinitis outpatients (RR = 1.075; range, 1.018–1.132) and atopy outpatients increased (RR = 1.134; range, 1.113–1.155) on the seventh lag day. However, the number of asthma outpatients decreased to RR value of 0.968 (range, 0.902–1.035) on the fifth lag day.ConclusionThis study suggests that typhoon and heavy rain increase allergic disease apart from asthma. More study is needed to explain the decrease in asthma
Development of real-time monitoring system and Data-driven digital twin models for forecasting multi-step ahead cell culture performance
Please click Additional Files below to see the full abstract
Real-time data-driven and multi-scale model-guided system for bioproccess digital twin platform
Please click Additional Files below to see the full abstract
- …