Abstract: A flash drive includes a main housing, a USB adapter unit mounted in the main housing and extending out of the main housing, an inner housing movably connected to the main housing, and a flash memory unit including a flash memory that is mounted in the inner housing, and a USB-A plug that is connected to the flash memory. The inner housing is operable to move, with respect to the main housing, between a USB-C position, where the USB-A plug is electrically connected to the USB adapter unit to allow for data transfer therebetween, and a USB-A position, where the USB-A plug is detached from the USB adapter unit to prevent data transfer therebetween, such that data is transferable to and from the flash memory via the USB-A plug.

Abstract: Disclosed are an object detection method and a convolution neural network. The method is performed through hierarchical architecture of the CNN and includes extracting groups of augmented feature maps from an input image through a backbone and two other groups of feature maps, identifying positive and negative samples with an IOU-based sampling scheme to be proposals for foreground and background through a proposal-sampling classifier, mapping the proposals to regions on the groups of augmented feature maps through the region proposal module, pooling the regions to fixed scale feature maps based on ROI aligning, fusing the fixed scale feature maps, and flattening the fused feature maps to generate an ROI feature vector through an ROI aligner for object classification and box regression. Because extracted features in the groups of augmented feature maps range from spatially-rich features to semantically-rich features, enhanced performance in object classification and box regression can be secured.

Abstract: Disclosed are an object detection method and a convolution neural network. The method is performed through hierarchical architecture of the CNN and includes extracting groups of augmented feature maps from an input image through a backbone and two other groups of feature maps, identifying positive and negative samples with an IOU-based sampling scheme to be proposals for foreground and background through a proposal-sampling classifier, mapping the proposals to regions on the groups of augmented feature maps through the region proposal module, pooling the regions to fixed scale feature maps based on ROI aligning, fusing the fixed scale feature maps, and flattening the fused feature maps to generate an ROI feature vector through an ROI aligner for object classification and box regression. Because extracted features in the groups of augmented feature maps range from spatially-rich features to semantically-rich features, enhanced performance in object classification and box regression can be secured.

Abstract: A flash drive includes a main housing, a USB adapter unit mounted in the main housing and extending out of the main housing, an inner housing movably connected to the main housing, and a flash memory unit including a flash memory that is mounted in the inner housing, and a USB-A plug that is connected to the flash memory. The inner housing is operable to move, with respect to the main housing, between a USB-C position, where the USB-A plug is electrically connected to the USB adapter unit to allow for data transfer therebetween, and a USB-A position, where the USB-A plug is detached from the USB adapter unit to prevent data transfer therebetween, such that data is transferable to and from the flash memory via the USB-A plug.

Abstract: The invention is directed to a method to predict prognostic results for diseases including acute myeloid leukemia (AML) by analyzing novel markers which comprises microRNA/mRNA (miRNA/mRNA) pairings. In particular, the miRNA/mRNA pairings are a kind of NPM1 mutation-modulated miRNA/mRNA regulation pairs.

Abstract: The present invention relates to a scoring method for predicting the survival of a de novo AML patient based on the expression level of microRNAs mir-9, mir-155 and mir-203 in the patient. Patients with higher scores are associated with shorter overall survival. This scoring method is simple, powerful, and widely applicable for risk stratification of AML patients.

Abstract: A network device includes: a memory unit including a buffer memory and a read-only memory that has a device firmware stored therein for execution by the network device; a transmission interface unit for establishing connection to a host device via a network; a status-indicating unit; and a firmware-update control unit configured to retrieve firmware-update data from the host device through the network via the transmission interface unit, configured to store the firmware-update data thus retrieved in the buffer memory, and configured to update the device firmware in the read-only memory based on the firmware-update data in the buffer memory, the firmware-update control unit being further configured to control the status-indicating unit for generating a firmware-update-status output corresponding to a state of a firmware update process performed by the firmware-update control unit for user notification.

Abstract: A system for testing a NAS includes: a data storage device (3) connected with a NAS (6) for storing function test program and test data; a host computer (1) connected with the NAS being used to issue commands for the NAS to self-test itself via the function test program and test data; and at least one USB flash memory (4) connected with the NAS for testing the PCI ports of the NAS. A method for testing a NAS is also disclosed.

Abstract: A method for updating factory default settings and boot loaders in an embedded system is disclosed. The method includes the steps of: recording factory default settings to each partition of a flash memory; installing the flash memory in the embedded system and doing function tests; generating a new boot loader comprising NVRAM variables; modifying a parameter of the NVRAM variables; and updating the new boot loader to the flash memory. The invention can be used to update boot loaders or a firmware, and generate new boot loaders based on documents modified by a user.