An effective bearing fault diagnosis model based on machine learning is proposed in this study.The model can separate into three stages: feature extraction, feature selection, and classification.In the stage of feature extraction, multiresolution analysis (MRA) and fast Fourier transform (FFT) Watch are applied to extract the features from the raw
The purpose ULT DIGESTIVE IMMED REL of this study was to examine the influence of demographic factors such as gender, age, education, occupation, income, and investment experience on investor behavior bias such as overconfidence bias, disposition effects, herding bias, and mental accounting.This type of research was causal research with a quantitat
In recent years, tremendous progress has been made in understanding the roles of extracellular vesicles (EVs) in cancer.Thanks to advancements in molecular biology, it has been found that the fraction of EVs called exosomes or small EVs (sEVs) modulates the sensitivity of cancer cells to chemotherapeutic agents by delivering molecularly active non-
In this exploratory case study, the assessment methods planned and used in Egyptian STEM schools were explored.The purpose of the study was to explore the relationship between the ideals provided in STEM education both from research and policy documents and the actual assessment strategies used both at the FOOTIES classroom and state level in order