The electrocardiogram (ECG) is a popular measurement scheme to assess and diagnose cardiovascular diseases. ECG devices use gel material and electrodes that may cause skin irritation and discomfort during long use, which restricts the long-term use of these devices. On the other hand, Photoplethysmography (PPG) is an optical approach used to estimate the skin blood flow using photons. Recently, the relationship between the PPG and ECG has been recognized and there are early stage attempts to reconstruct the ECG signals from PPG signals that can lead to giving up electrodes and skin irritating and uncomfortable materials. However, these recent researches suffer from the sensitivity to the PPG signal quality, shifting, and scaling. Therefore, it is restricted with constrained PPG signals. In this paper, we propose an ECG reconstruction system that is independent of PPG scaling and shifting. The proposed system is based on scattering wavelet transform (SWT) as a feature domain along with the deep learning network. Using SWT helps deep learning networks to learn the non-linear relationship between ECG and PPG even with small datasets. Also, the proposed system is based on beat-by-beat ECG estimation rather than signal-based which leads to the learning of local features rather than global features. Based on the presented simulation results, the proposed system with beat-by-beat SWT features extraction outperforms the other feature domains; Time, DCT, and DWT domains.
Motivating emotions is a critical factor in empowering students to manage the troubles they might face. Educational organizations pay great efforts to employ all the available means that can motivate their students for better learning from early stages until universities or institutes levels. The administrations of some universities and institutes, especially in the United States of America, do not stop there and pay more attention on motivating their students at the graduation parties on how to manage future businesses and challenges. This study explores how commencement speakers utilize success stories pragma-rhetorically to motivate the graduates to behave wisely to take future decisions. It investigates the pragmatic-rhetorical strategies in the motivational storytelling that is delivered within commencement speeches at American universities and institutes. It aims to recognize and analyze these strategies that commencement speakers employ as strategic strategies in presenting their stories to achieve their motivational purposes. More specifically, it explores how speech acts, rhetorical tropes, conversational implicatures, and rhetorical appeals are used and distributed in the storytelling discourse. To this end, the researchers selected ten commencement speeches delivered by American commencement speaker.
Pornography browsing has became particularly evident among University students to the extent that there are several physiological, psychological and mental changes that escalate aggressiveness and behavioral problems. This study was conducted to determine the relation between pornography browsing and aggression among university students. The study design was descriptive correlational design. Setting: the study was conducted at Faculties of Tanta University. Subjects: 1600 undergraduate students were selected according to stratified random sampling from both practical and theoretical faculties. Tools: data was collected using two tools; Buss & Perry aggression questionnaire, and problematic pornography consumption scale. The results revealed that the majority of the studied students had no evidence of problematic pornography browsing, and there was a highly significant positive moderate correlation between pornography browsing and aggression. It was concluded that pornography browsing is particularly evident among university students, and that pornography browsing can predict aggressive behavior. The study recommended that providing Psycho-educational program about pornography browsing to students and their parents is vital to overcome adverse effects of pornography browsing .
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