Blow up solutions to a viscoelastic fluid system and a coupled Navier-Stokes/Phase-Field system in R^2

We find explicit solutions to both the Oldroyd-B model with infinite Weissenberg number and the coupled Navier-Stokes/Phase-Field system. The solutions blow up in finite time.Comment: 5 page

DEEP ENCODER-DECODER NETWORKS FOR ARTEFACTS SEGMENTATION IN ENDOSCOPY IMAGES

Automated analysis of endoscopic images is becoming increasingly significant for an early detection of numerous cancers and minimally invasive surgical procedures. The paper briefly describes the methodology adopted for the 2020 Endoscopy Artefact Detection and Segmentation (EAD2020) challenge1. A number of novel variants of the DeepLab V3+ encoder-decoder architecture have been investigated, implemented and tested for the segmentation sub-challenge. Modifications were introduced to improve: selection of image futures, segmentation of small objects, and use of the encoder output information. The proposed methods achieved competitive segmentation score results on both release-I and releaseII test datasets. For the detection sub-challenge three off-theshelf deep detection networks have been optimised and evaluated on the EAD data

GIANA Polyp Segmentation with Fully Convolutional Dilation Neural Networks

Polyp detection and segmentation in colonoscopy images plays an important role in early detection of colorectal cancer. The paper describes methodology adopted for the EndoVisSub2017/2018 Gastrointestinal Image ANAlysis – (GIANA) polyp segmentation sub-challenges. The developed segmentation algorithms are based on the fully convolutional neural network (FCNN) model. Two novel variants of the FCNN have been investigated, implemented and evaluated. The first one, combines the deep residual network and the dilation kernel layers within the fully convolutional network framework. The second proposed architecture is based on the U-net network augmented by the dilation kernels and “squeeze and extraction” units. The proposed architectures have been evaluated against the well-known FCN8 model. The paper describes the adopted evaluation metrics and presents the results on the GIANA dataset. The proposed methods produced competitive results, securing the first place for the SD and HD image segm entation tasks at the 2017 GIANA challenge and the second place for the SD images at the 2018 GIANA challenge

Analogue to multiple electromagnetically induced transparency in all-optical drop-filter systems

We theoretically study a parallel optical configuration which includes N periodically coupled whispering-gallery-mode resonators. The model shows an obvious effect which has a direct analogy with the phenomenon of multiple electromagnetically induced transparency in quantum systems. The numerical simulations illuminate that the frequency transparency windows are sharp and highly transparent. We also briefly discuss the experimental feasibility of the current scheme in two practical systems, microrings and microdisks.Comment: 4 pages, 4 figure

Related factors of vision recovery after complex traumatic and non-traumatic retinal detachment

AIM: To investigate the visual recovery factors in patients with complex traumatic and non-traumatic retinal detachment. METHODS: According to the history of ocular trauma before admission, 135 patients with complex retinal detachment were divided into traumatic group(n=66, 66 eyes)and non-traumatic group(n=69, 69 eyes). The results of visual recovery and complications were compared between the two groups. Logistic regression was used to analyze the related factors of visual recovery in the two groups. RESULTS: There was no significant difference in the recovery rate between the two groups within 24h after surgery(77.3% vs 78.3%, P>0.05), and there was no significant difference in the total incidence of complications at 3mo after surgery(18.2% vs 17.4%, P>0.05). Multifactorial Logistic regression analysis showed significant correlation between age, injury type, time since retinal detachment, rage of retinal detachment, preoperative vitreous blood, proliferative vitreoretinopathy(PVR)and postoperative visual recovery in patients with complex traumatic retinal detachment(PPCONCLUSION: Age, time since retinal detachment and rage of retinal detachment were significantly associated with traumatic and non-traumatic retinal detachment. The injury type, preoperative vitreous hemorrhage, PVR were significantly correlated with the visual recovery of traumatic retinal detachment patients. The condition of macular was significantly associated with the visual recovery of non-traumatic retinal detachment patients