Abstract: Disclosed herein are a multi-target analysis apparatus and method. The multi-target analysis apparatus includes: an input/output interface configured to receive data and output the results of computation of the data; storage configured to store a program for performing a multi-target analysis method; and a controller provided with at least one process, and configured to analyze multiple targets received through the input/output interface by executing the program. The controller is further configured to: collect instruction-target pairs in each of which an instruction and state information for a target are matched with each other so that the target is specified through the instruction, and generate an instruction-target set having a plurality of instruction-target pairs; and train a reinforcement learning-based learning model configured to receive the instruction for the target and the state information for the target and output action information by referring to the instruction-target set.

Abstract: A robot arm control device is proposed. The robot arm control device may include a memory. The device may also include an acquisition unit acquiring an arbitrary target image, a virtual canvas image in which a virtual drawing operation of a robot arm for the target image is reflected, and a virtual nib image of the robot arm whose position is changed as the virtual drawing operation is reflected in the virtual canvas image. The device may further include a processor configured to input the target image to the pre-trained learning model, determine a position change amount of the virtual nib image in the virtual canvas image using the pre-trained learning model, and output a joint angle change amount for driving the robot arm on the basis of the position change amount.

Abstract: An antenna structure includes a substrate, a plurality of reflective plates, a grounding plate, a radiating member, a signal feeding via and a plurality of conductive vias. The substrate has opposite first and second surfaces and comprises liquid crystal polymer. The reflective plates are arrayed on the first surface of the substrate. The grounding plate is disposed on the second surface of the substrate and overlapped with the reflective plates in a normal direction of the substrate. The grounding plate further includes an opening. The radiating member is disposed on the first surface of the substrate and physically separated from the reflective plates. The signal feeding via is coupled with the radiating member and penetrates through the substrate to be exposed in the opening of the grounding plate. The conductive vias penetrate through the substrate and respectively connect the reflective plates and the grounding plate.

Abstract: The present disclosure relates to peptidic compounds of Formula A, A-II, A-III, B, or C, or salt or solvate thereof, compositions thereof, and methods of use thereof. The compounds of the present disclosure are useful for targeting CXCR4 for purposes such as imaging and/or therapeutics.

Abstract: A variable optical attenuator (200) comprises a dual fiber collimator (202) and a reflection component (206) separated by a linear moveable ND filter (204). The collimator (202) includes a ferrule (304) with dual fibers (310, 320) therein, and a GRIN lens (302) spaced from the ferrule (304) with a distance in compliance with the distance between the reflection component (206) and the GRIN lens (302).

Abstract: A variable optical attenuator (200) comprises a dual fiber collimator (202) and a reflection component (206) separated by a linear moveable ND filter (204). The collimator (202) includes a ferrule (304) with dual fibers (310, 320) therein, and a GRIN lens (302) spaced from the ferrule (304) with a distance in compliance with the distance between the reflection component (206) and the GRIN lens (302).