Abstract: The present disclosure relates to a method for configuring a relay register module, including: receiving a start allocation request for at least one task sent by a task scheduler; determining, based on the start allocation request, a number of relay registers to be allocated to each task of the at least one task; allocating the corresponding number of relay registers to each task; and sending a wake-up signal to the task scheduler in a case where the allocation is completed, the wake-up signal is used by the task scheduler to start a task to which relay registers are allocated; wherein the relay register module is configured to store an intermediate result obtained from an operation based on an instruction of the task. The present disclosure further relates to an apparatus for configuring a relay register module.

Abstract: A multi-targeting compound, a pharmaceutical composition comprising or consisting of same, a kit comprising or consisting of the compound or pharmaceutical composition, and the use of the compound or pharmaceutical composition in the diagnosis or treatment of diseases characterized by abnormal expression of FAP, CXCR4, GRPR, and/or ?v?3.

Abstract: A method for processing a plurality of tasks includes: obtaining task description information for a task, the task description information comprising a dependency information identifier and a dependent information identifier, the dependency information identifier indicating the number of a first type of tasks associated with the task, and the dependent information identifier at least indicating whether a second type of task associated with the task exists in the plurality of tasks; in response to the task execution ending, updating the dependency information identifier of the second type of task associated with the task, so as to determine from the second type of task associated with the task any tasks to be executed which no longer directly depend on any task; adding the tasks to be executed into a tasks to be executed queue; and executing the tasks to be executed located in the tasks to be executed queue.

Abstract: A method of testing an impedance-sensitive system with a switching device, wherein the method comprises: switching the disconnecting device into the on-state configured to permit transmission of energy via the coil; implementing a first measurement with the impedance-sensitive system; switching the disconnecting device into the off-state configured to permit damping of the external positioning signal that couples into the coil so as to reduce the undesirable oscillations of the coil; implementing a second measurement with the impedance-sensitive system; performing a comparison of the first measurement and the second measurement; performing a verification of the comparison with a target specification; and displaying a correct function and/or a malfunction depending on the verification.

Abstract: A method of testing an impedance-sensitive system with a switching device, wherein the method comprises: switching the disconnecting device into the on-state configured to permit transmission of energy via the coil; implementing a first measurement with the impedance-sensitive system; switching the disconnecting device into the off-state configured to permit damping of the external positioning signal that couples into the coil so as to reduce the undesirable oscillations of the coil; implementing a second measurement with the impedance-sensitive system; performing a comparison of the first measurement and the second measurement; performing a verification of the comparison with a target specification; and displaying a correct function and/or a malfunction depending on the verification.

Abstract: A method of testing an impedance-sensitive system with a switching device, wherein the method comprises: switching the disconnecting device into the on-state configured to permit transmission of energy via the coil; implementing a first measurement with the impedance-sensitive system; switching the disconnecting device into the off-state configured to permit damping of the external positioning signal that couples into the coil so as to reduce the undesirable oscillations of the coil; implementing a second measurement with the impedance-sensitive system; performing a comparison of the first measurement and the second measurement; performing a verification of the comparison with a target specification; and displaying a correct function and/or a malfunction depending on the verification.

Abstract: A system associated with predicting segmentation quality of segmented objects implemented in the analysis of copious image data is disclosed. The system receives a collection of image data related to a particular type of data. The image data is segmented into segmented data portions based on an object associated with the collection of image data. Regions of interest associated with the segmented data portions are determined. The quality of segmentation of the segmented data portions is determined for respective classification of the regions of interest. A classification label is assigned to the regions of interest. Regions of interest are partitioned into sub-regions. Features associated with the sub-regions of the segmented data portions are determined. A training dataset is generated based on the determined features associated with the sub-regions in order to train a classification model based on a predetermined threshold value.

Abstract: A system associated with predicting segmentation quality of segmented objects implemented in the analysis of copious image data is disclosed. The system receives a collection of image data related to a particular type of data. The image data is segmented into segmented data portions based on an object associated with the collection of image data. Regions of interest associated with the segmented data portions are determined. The quality of segmentation of the segmented data portions is determined for respective classification of the regions of interest. A classification label is assigned to the regions of interest. Regions of interest are partitioned into sub-regions. Features associated with the sub-regions of the segmented data portions are determined. A training dataset is generated based on the determined features associated with the sub-regions in order to train a classification model based on a predetermined threshold value.