Anomaly detection in videos is the task of identifying frames from a video sequence that depict events that do not conform to expected behavior, which is an extremely challenging task due to the ambiguous and unbounded properties of anomalies.With the development of deep learning, video anomaly detection methods based on deep neural networks have m
Recently, the optimal control problem has gained much importance for solving practical problems.In this regard, the MUSCLE TONIC meta-heuristic algorithms are proven to be effective while solving these problems effectively and efficiently.However, these algorithms may not be effective for solving all the optimization problems as per the no free lun
Abstract Background During production and processing of multi-walled carbon nanotubes (MWCNTs), they may be inhaled and may enter the pulmonary circulation.It is essential that interactions with involved body fluids like the pulmonary surfactant, the blood and others are investigated, particularly as these interactions could lead to coating of the
Circulating tumor DNA (ctDNA) is a tumor-derived fragmented DNA in blood and is a characteristic marker of tumor.Through the correlative detection of ctDNA, the trace information of the tumor in the blood of the patients Foundation can be detected, and the panoramic data of the tumor can be provided.As a non-invasive detection method, ctDNA plays a
Background/Objectives: The correlation between contact allergy (CA), atopic dermatitis (AD) and psoriasis is still debated.Therefore, the present study aims to retrospectively analyze the frequency of contact sensitization among patients with psoriasis and AD Horse Poll Pads compared to controls, in order to further investigate the relationship bet