Distance Guided Channel Weighting for Semantic Segmentation

Recent works have achieved great success in improving the performance of multiple computer vision tasks by capturing features with a high channel number utilizing deep neural networks. However, many channels of extracted features are not discriminative and contain a lot of redundant information. In this paper, we address above issue by introducing the Distance Guided Channel Weighting (DGCW) Module. The DGCW module is constructed in a pixel-wise context extraction manner, which enhances the discriminativeness of features by weighting different channels of each pixel's feature vector when modeling its relationship with other pixels. It can make full use of the high-discriminative information while ignore the low-discriminative information containing in feature maps, as well as capture the long-range dependencies. Furthermore, by incorporating the DGCW module with a baseline segmentation network, we propose the Distance Guided Channel Weighting Network (DGCWNet). We conduct extensive experiments to demonstrate the effectiveness of DGCWNet. In particular, it achieves 81.6% mIoU on Cityscapes with only fine annotated data for training, and also gains satisfactory performance on another two semantic segmentation datasets, i.e. Pascal Context and ADE20K. Code will be available soon at https://github.com/LanyunZhu/DGCWNet

Autophagy genes of ATG5-ATG12 complex in response to exogenous stimulations in Litopenaeus vannamei

Autophagy plays an important role in resisting pathogens infection and environmental stress. However, there are few studies on autophagy and its regulation in Litopenaeus vannamei. In this study, the autophagy-related genes of ATG5-ATG12 complex (ATG5, ATG7, ATG10 and ATG12) were cloned and investigated on the response to exogenous stimulations in L. vannamei. Multiple sequence alignment and phylogenetic analysis of different species showed that four autophagy genes were conserved among different species. Tissue detection showed that the four autophagy genes were expressed in all tissues, and the expression level was the highest in the hepatopancreas in L. vannamei. Furthermore, the expression levels of the four autophagy genes were up-regulated significantly after stimulation with Vibrio harveyi and the virus analog poly(I:C) (p<0.05), and their peak values occurred at 24-48h. These results indicated that ATG5, ATG7, ATG10 and ATG12 may be involved in resisting pathogen infection in L.vannamei, which provided a basis for studying the molecular mechanism of autophagy in resistance to pathogen infection of L. vannamei

Global Infectious Diseases in August of 2022: Monthly Analysis

Infectious diseases have greatly affected the development of human history, owing to their unpredictable zoonotic characteristics. The recording of infectious diseases epidemic data provides information on disease transmission trends, and enables research on the risk of penitential epidemics and the mechanisms of transmission of infectious diseases. Recent years have seen a significant increase in the number of confirmed and fatal cases of COVID-19 since it became a pandemic in late 2019. Monkeypox also has potential for global transmission, because the World Health Organization (WHO) [ 1 ] reported cases of MPXV in at least 12 Countries that are not endemic for monkeypox virus. Africa and Southeast Asia appear to be the main regions where mosquito-borne diseases are epidemic, possibly because of the rainy weather in these regions in the past month. Tracking disease incidence and epidemic tendency remains imperative in these areas, although most infectious diseases appear to be dispersed and transmitted in only several areas at the moment

Global Infectious Diseases in September 2022: Monthly Analysis

The threat of infectious diseases caused by pathogenic microorganisms to both human health and the economy is enormous. Coronavirus Disease 2019 (COVID-19) remains a global pandemic. In contrast to many other infectious diseases, monkeypox spreads rapidly and cannot be ignored. Collection of data on contagious diseases can provide quantitative evidence to support effective pandemic control strategies. Global data on predominant infectious diseases collected in the past several weeks and a summary of their epidemiology are presented herein

Global Infectious Diseases in October 2022: Monthly Analysis

Infectious diseases continue to pose a major threat to worldwide public health. Infections by Coronavirus Disease 2019 have eased but continue to negatively affect international economic development. The situation of other infectious diseases, such as monkeypox and mosquito-borne diseases, became stable in October. Monitoring epidemic situation of infectious diseases can provide rapid insight into global transmission trends and assist in predicting epidemic situations. Visualizations and analyses summarizing the past few weeks of global data on major infectious diseases are provided

Global Infectious Diseases in December 2022: Monthly Analysis

The emergence and reoccurrence of infectious diseases constitute a significant threat to human health. Data for this paper were mainly obtained from official websites, such as the WHO and national CDC websites. The report summarizes and analyzes information on infectious diseases for early outbreak monitoring from 24 November to 23 December 2022. Monkeypox cases declined in December 2022 with few deaths, while cholera infections have increased in African regions and war-torn countries. Most sub-Saharan countries are affected by insect-borne diseases, such as dengue, Lassa, and chikungunya fever