Identification of Anomaly Scenes in Videos Using Graph Neural Networks

Generally,conventional methods for anomaly detection rely on clustering,proximity,or classification.With themassive growth in surveillance videos,outliers or anomalies find ingenious ways to obscure themselves in the network and make conventional techniques inefficient.This research explores the structure of Graph neural networks(GNNs)that generalize deep learning frameworks to graph-structured data.Every node in the graph structure is labeled and anomalies,represented by unlabeled nodes,are predicted by performing random walks on the node-based graph structures.Due to their strong learning abilities,GNNs gained popularity in various domains such as natural language processing,social network analytics and healthcare.Anomaly detection is a challenging task in computer vision but the proposed algorithm using GNNs efficiently performs the identification of anomalies.The Graph-based deep learning networks are designed to predict unknown objects and outliers.In our case,they detect unusual objects in the form of malicious nodes.The edges between nodes represent a relationship of nodes among each other.In case of anomaly,such as the bike rider in Pedestrians data,the rider node has a negative value for the edge and it is identified as an anomaly.The encoding and decoding layers are crucial for determining how statistical measurements affect anomaly identification and for correcting the graph path to the best possible outcome.Results show that the proposed framework is a step ahead of the traditional approaches in detecting unusual activities,which shows a huge potential in automatically monitoring surveillance videos.Performing autonomous monitoring of CCTV,crime control and damage or destruction by a group of people or crowd can be identified and alarms may be triggered in unusual activities in streets or public places.The suggested GNN model improves accuracy by 4%for the Pedestrian 2 dataset and 12%for the Pedestrian 1 dataset compared to a few state-of the-art techniques.

FOLR1-induced folate deficiency reduces viral replication via modulating APOBEC3 family expression

Folate receptor alpha(FOLR1)is vital for cells ingesting folate(FA).FA plays an indispensable role in cell pro-liferation and survival.However,it is not clear whether the axis of FOLR1/FA has a similar function in viral replication.In this study,we used vesicular stomatitis virus(VSV)to investigate the relationship between FOLR1-mediated FA deficiency and viral replication,as well as the underlying mechanisms.We discovered that FOLR1 upregulation led to the deficiency of FA in HeLa cells and mice.Meanwhile,VSV replication was notably sup-pressed by FOLR1 overexpression,and this antiviral activity was related to FA deficiency.Mechanistically,FA deficiency mainly upregulated apolipoprotein B mRNA editing enzyme catalytic subunit 3B(APOBEC3B)expression,which suppressed VSV replication in vitro and in vivo.In addition,methotrexate(MTX),an FA metabolism inhibitor,effectively inhibited VSV replication by enhancing the expression of APOBEC3B in vitro and in vivo.Overall,our present study provided a new perspective for the role of FA metabolism in viral infections and highlights the potential of MTX as a broad-spectrum antiviral agent against RNA viruses.

Gingerol activates noxious cold ion channel TRPA1 in gastrointestinal tract

TRPA1 channels are non-selective cation channels that could be activated by plant-derived pungent products, including gingerol, a main active constituent of ginger. Ginger could improve the digestive function; however whether ginger improves the digestive function through activating TRPA1 receptor in gastrointestinal tract has not been investigated. In the present study, gingerol was used to stimulate cell lines(RIN14B or STC-1) while depletion of extracellular calcium.TRPA1 inhibitor(rethenium red) and TRPA1 gene silencing via TRPA1-specific si RNA were also used for mechanistic studies. The intracellular calcium and secretion of serotonin or cholecystokinin were measured by fura-2/AM and ELISA. Stimulation of those cells with gingerol increased intracellular calcium levels and the serotonin or cholecystokinin secretion. The gingerol-induced intracellular calcium increase and secretion(serotonin or cholecystokinin) release were completely blocked by ruthenium red, EGTA, and TRPA1-specific si RNA. In summary, our results suggested that gingerol derived from ginger might improve the digestive function through secretion releasing from endocrine cells of the gut by inducing TRPA1-mediated calcium influx.