DEEP LEARNING-BASED DEFECT PREDICTION FOR MOBILE APPLICATIONS

Deep Learning-Based Defect Prediction for Mobile Applications

Smartphones have enabled the widespread use of mobile applications.However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience.To avoid this, the defects of applications should be detected and removed before release.This study aims to develop a defect prediction model for mobile Pentai

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Tyrosine phosphatases such as SHP-2 act in a balance with Src-family kinases in stabilization of postsynaptic clusters of acetylcholine receptors

Abstract Background Development of neural networks requires that synapses are formed, eliminated and stabilized.At the neuromuscular junction (NMJ), agrin/MuSK signaling, by triggering downstream pathways, causes clustering and phosphorylation of postsynaptic acetylcholine receptors (AChRs).Postnatally, AChR aggregates are stabilized by molecular p

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