Abstract: A method and apparatus for improving mobile application that enable: unpacking a first mobile application to obtain contents including codes and resource data of the first mobile application; setting a name space for the resource data of the first mobile application and of a second mobile application; assembling the codes of the first and second mobile applications; and packing the assembled codes of the first and second mobile applications, the resource data of the first and second mobile applications, and data of the name space to create an improved mobile application, wherein the method further comprises capturing images of the improved mobile application; using neural network to determine a category for the captured images; and extracting features in the captured images according to the category to monitor status or gather data from the improved mobile application.

Abstract: A method and an apparatus to provide replaceable graphical representation on a home screen of an apparatus, the method comprising: executing, via a processor, an application in a memory during start up of the apparatus to operate the apparatus to: display one or more graphical representations on a home screen of the apparatus without preventing accessibility to at least one feature of the home screen that is not displayed by the application in the home screen; and replace the one or more graphical representations displayed on the home screen, wherein each of the one or more displayed graphical representations is replaced when a predetermined condition is satisfied, wherein at least one of the one or more graphical representations is an advertisement selectable by a user to perform one or more actions.

Abstract: A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

Abstract: A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

Abstract: A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

Abstract: A method of performing personalized neuromodulation on a subject is provided. The method includes acquiring functional magnetic resonance imaging (fMRI) data of a brain of the subject. The method also includes calculating functional connectivity of the brain between a voxel in a subcortical region of the brain and a voxel in a cortical region of the brain, based on the fMRI data. The method also includes identifying a target location in the brain to be targeted by neuromodulation based on the calculated functional connectivity.

Abstract: A drive shaft (41) is disclosed of the type having first and second sets of axially-disposed external crowned splines (39 and 43) for transmitting torque between first and second sets of internal straight splines (37 and 45). The sets of internal straight splines are relatively transversely disposed such that the drive shaft is disposed during operation at a running angle (A) relative to the axis (79) of the internal splines. Each of the external crowned splines includes a pair of tooth flanks joined at a root radius having a radius (R). The root radius (R) is related to the running angle (A) of the drive shaft by the equationR=C/A.sup.2In this equation, C is a constant for the particular drive shaft design, and is determined empirically to yield a minimum circular clearance between the external spline and the adjacent internal spline.