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https://www.selleckchem.com/products/asn007.html 6), but only the physical fatigue subscale was significantly higher. While the physical fatigue score was negatively correlated with GLTEQ in MS patients (r-0.276, p0.005), it was positively correlated with the expanded disability status scale (r0.409, p0.001). We detected that approximately one-fifth of MS patients have sarcopenia. Regional sarcopenia was more prevalent than whole body sarcopenia. We found a high degree of fatigue and lack of exercise in sarcopenic MS patients. We detected that approximately one-fifth of MS patients have sarcopenia. Regional sarcopenia was more prevalent than whole body sarcopenia. We found a high degree of fatigue and lack of exercise in sarcopenic MS patients.Music can evoke strong emotions. Research has suggested that pleasurable chills (shivering) and tears (weeping) are peak emotional responses to music. The present study examines whether computational acoustic and lyrical features can decode chills and tears. The experiment comprises 186 pieces of self-selected music to evoke emotional responses from 54 Japanese participants. Machine learning analysis with L2-norm-regularization regression revealed the decoding accuracy and specified well-defined features. In Study 1, time-series acoustic features significantly decoded emotional chills, tears, and the absence of chills or tears by using information within a few seconds before and after the onset of the three responses. The classification results showed three significant periods, indicating that complex anticipation-resolution mechanisms lead to chills and tears. Evoking chills was particularly associated with rhythm uncertainty, while evoking tears was related to harmony. Violating rhythm expectancy may have been a trigger for chills, while the harmonious overlapping of acoustic spectra may have played a role in evoking tears. In Study 2, acoustic and lyrical features from the entire piece decoded tears but not chill frequency.

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