Credit card fraud identification is an important issue in risk prevention and control for banks and financial institutions. In order to establish an efficient credit card fraud identification model, this article studied the relevant factors that affect fraud identification. A credit card fraud identification model based on neural networks was constructed, and in-depth discussions and research were conducted.
View Article and Find Full Text PDFWith the continuous advancement of the economy and technology, the number of cars continues to increase, and the traffic congestion problem on some key roads is becoming increasingly serious. This paper proposes a new vehicle information feature map (VIFM) method and a multi-branch convolutional neural network (MBCNN) model and applies it to the problem of traffic congestion detection based on camera image data. The aim of this study is to build a deep learning model with traffic images as input and congestion detection results as output.
View Article and Find Full Text PDFOBJECTIVE: To determine whether intratracheal pulmonary ventilation (ITPV) combined with partial liquid ventilation (PLV) improves oxygenation and ventilation at lower mean airway and peak inspiratory pressures when compared with conventional mechanical ventilation in a piglet model of meconium aspiration syndrome. DESIGN: Prospective, randomized, interventional study. SETTING: Animal Research Laboratory at the Children's National Medical Center, Washington, DC.
View Article and Find Full Text PDFThe effects of isosaline extracts of Tetrapleura tetrapetra and Olax subscorpioides were investigated in albino rats. The treatment of rats with these extracts resulted in an increase in the activities of serum alanine aminotransferase, liver aspartate aminotransferase, alanine aminotransferase, acid phosphatase and alkaline phosphatase. The extract of Tetrapleura tetrapetra caused a significant increase in blood glucose and liver glycogen levels while the extract of Olax subscorpioides caused a slight reduction but not statistically significant in the levels of blood glucose and liver glycogen.
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