Search

With the growing popularity of eSports, video highlight detection, which encapsulates the most informative parts in a few seconds, has become a critical part of live competition. However, learning the spatial–temporal dependency efficiently and discriminatively in video highlight detection for league of legends (LoL) is a critical problem. In this study, to address these existing problems, we propose a novel discriminative and efficient non-local attention network (DENAN) for LoL highlight detection. In particular, both spatial and temporal dependencies are learned using an end-to-end lightweight trainable framework. An auxiliary triplet loss is used in discriminative training to learn robust LoL video feature representations and improve DENAN's performance. Our experimental results on the NLACS and LMS datasets show the effectiveness of our method in terms of performance and computation cost. [ABSTRACT FROM AUTHOR]

Background and Aims: There is limited evidence about the association of healthy lifestyle and all-cause mortality in individuals with metabolic associated fatty liver disease (MAFLD). We aimed to examine this association and compare it with the association in those without MAFLD. Methods: A prospective cohort study was performed and linked mortality data through 2019 in the National Health Nutrition Examination Survey (NHANES 1999–2010). A healthy lifestyle score was constructed from cigarette smoking, alcohol drinking, healthy eating score, and leisure-time physical activity. Risk stratification was conducted in participants with MAFLD by fibrosis biomarkers and liver enzymes. Survey-weight adjusted Cox regression was used to estimate adjusted hazard ratios (HRs) and confidence intervals (CIs) for all-cause mortality associated with healthy lifestyle. Results: There was a protective association between healthy lifestyle and all-cause mortality in participants with MAFLD (HR per 1-unit increase of healthy lifestyle score 0.77 [95% CI 0.69–0.85]), with no difference from the association in participants without MAFLD (HR 0.77 [0.72–0.82]). In participants with MAFLD, the associations tended to be stronger in those with lower risk of advanced fibrosis (HR per 1-unit increase of healthy lifestyle score 0.64 [0.50–0.79] for low NAFLD fibrosis score [NFS] and 0.84 [0.75–0.93] for high NFS, p-value for interaction 0.02), but did not differ by liver enzymes. The results for non-alcoholic fatty liver disease (NAFLD) mirrored those for MAFLD. Conclusions: Healthy lifestyle showed protective associations with all-cause mortality regardless of MAFLD status, and the associations tended to be stronger in those with lower risk of advanced fibrosis. Timely lifestyle modification matters for individuals with MAFLD. [ABSTRACT FROM AUTHOR]

The dust samples from 30 gas stations located in Xi'an are analyzed for Mn, Ni, Co, Cr, Cu, Cd, Pb and Zn by using atomic absorption spectrometry. The concentration, spatial distribution, source and the contamination levels provide scientific basis for urban planning and environmental renovation in Xi'an. The results indicate that the mean values of Ni, Cr, Co, Cu, Pb, Zn and Cd in the dust are 1.15, 1.19, 8.13, 3.94, 4.42, 5.09 and 15.62 times higher than the corresponding background values of Shaanxi soil, respectively. The high concentration of heavy metals is located in the inner and second ring road of Xi'an, China. Furthermore, the contents of metals in the south are higher than in the north. In addition, the concentrations of the gas station dust metals in the west are higher than in the east, particularly in the southwest. Three main sources of heavy metals of gas station dusts are identified in Xi'an. Mn and Ni mainly originate from a natural source; Cr, Cu, Pb, Cr and Zn mainly originate from traffic flow; and Co is mainly from industrial sources. The results of the potential ecological risk assessment indicate that the potential ecological risk index (RI) of Co is moderate; Cd is very high ecological risk, and the other analyzed metals belong to low ecological risk. The mean RI value of eight heavy metals in the gas station dusts from Xi'an is considerable ecological risk. [ABSTRACT FROM AUTHOR]