Abstract: An upper for an article of footwear is configured to be connected to a sole structure and is configured to receive a foot. The upper includes a knitted component having a strobel portion that is configured to be disposed underneath the foot. The strobel portion defines an interior surface and an exterior surface of the knitted component. The strobel portion defines a strobel passage between the interior surface and the exterior surface. Also, the upper includes a tensile strand that extends through the strobel passage.

Abstract: A method for predicting cancer prognosis is disclosed, and the method comprises capturing a reference radiomics and obtaining reference pathological eigenvalues, wherein the reference pathological eigenvalues are based on pathological features of a reference patients, and the pathological features comprise genomic features, gene expression, test values or a combination of two or more thereof. Then, capturing a test radiomics and obtaining test pathological eigenvalues are performed, wherein the test pathological eigenvalues are based on pathological features of a test patients, and the pathological features comprise genomic features, gene expression, test values or a combination of two or more thereof. A mathematical formula is used to calculate a prognostic index based on the aforementioned reference radiomics, reference pathological eigenvalues, test radiomics and test pathological eigenvalues, and the prognostic change risk of the test patient is evaluated according to the prognostic index.

Abstract: A method for analyzing gait is provided for a system including multiple accelerometers. The method includes: for each time point and each accelerometer, calculating a root mean square (RMS) value according to the accelerations sensed on sensing axes of the corresponding accelerometer; calculating a cross correlation coefficient according to the RMS values of a first accelerometer and a second accelerometer; calculating a first auto-correlation coefficient of the RMS values of the first accelerometer; calculating a second auto-correlation coefficient of the RMS values of the second accelerometer; and calculating a first gait index according to the cross correlation coefficient, the first auto-correlation coefficient, and the second auto-correlation coefficient.