ABSTRACT
@#Objective To explore the application of Tsetlin Machine (TM) in heart beat classification. Methods TM was used to classify the normal beats, premature ventricular contraction (PVC) and supraventricular premature beats (SPB) in the 2020 data set of China Physiological Signal Challenge. This data set consisted of the single-lead electro-cardiogram data of 10 patients with arrhythmia. One patient with atrial fibrillation was excluded, and finally data of the other 9 patients were included in this study. The classification results were then analyzed. Results The classification results showed that the average recognition accuracy of TM was 84.3%, and the basis of classification could be shown by the bit pattern interpretation diagram. Conclusion TM can explain the classification results when classifying heart beats. The reasonable interpretation of classification results can increase the reliability of the model and facilitate people's review and understanding.
ABSTRACT
Objective To investigate the alterations of SHP-2 mRNA of thymus cells of mice with ? ray-induced leukemia. Methods BALB/c mice were randomly divided into canceration group, non-canceration group, and control group. The gene mutation and content of SHP-2 mRNA in thymus cells were detected by PCR-SSCP, DNA sequencing, and real time fluorescence quantitative PCR (FQ-PCR). Results PCR-SSCP showed there was gene mutation within 700～1 096 bp of SHP-2 mRNA in thymus cells of mice in the canceration group, which was not supported by DNA sequencing. No significant difference in change of SHP-2 mRNA content was found in thymus cells in canceration, non-canceration, and control groups. Conclusion There is translational abnormality of SHP-2 mRNA in thymus cells of mice with ? ray-induced leukemia, which is presented as translational enhancement.