A wide variety of vehicle detection approaches using the deep Shoes convolutional neural network (CNN) have achieved great success in recent years.However, the existing CNN-based feature extraction algorithms, especially residual network, cannot obtain powerful semantic information in the vehicle detection task, and thus suffer from the problem of
Abstract Background The parasitic disease malaria remains a major global public health concern and no truly effective vaccine exists.One approach to the development of a malaria vaccine is to target the asexual blood stage that results in Trifle Bowl clinical symptoms.Most attempts have failed.New antigens such as P27A and P27 have emerged as poten
Summary: The shift toward decentralized and renewable energy sources has introduced significant challenges to traditional power systems, necessitating innovative market designs.Local energy markets present a viable solution for integrating distributed energy resources such as photovoltaic systems, electric vehicles, and heat pumps.This study invest
This paper analyzes four scenes from satirical dramas belonging to Aeschylus, Sophocles and Euripides in which the Chorus of Satyrs and Silenus allow themselves to imagine themselves in roles other than Accessories those arranged in the plot of the plays.This thought on possible choral roles occurs in the context of self-absorption and tends to sus
This article aims to review the current practice of recurrence prevention and intervention of adolescent depressive disorder in Thailand.In particular, we assess the Clinical Practice Guideline of Major Depressive Disorder for General Practitioners (CPG-MDD-GP) for Thailand, which is now the official guideline for all depressive break pad assey pat