Abstract: The present disclosure relates to a chimeric influenza virus hemagglutinin (HA) polypeptide, comprising one or more stem domain sequence, each having at least 60% homology with a stem domain consensus sequence of H1 subtype HA (H1 HA) and/or H5 subtype HA (H5 HA), fused with one or more globular head domain sequence, each having at least 60% homology with a globular head domain consensus sequence of H1 subtype HA (H1 HA) or H5 subtype HA (H5 HA).

Abstract: An optical element driving mechanism is provided and includes a fixed assembly, a movable assembly, a driving assembly and a stopping assembly. The fixed assembly has a main axis. The movable assembly is configured to connect an optical element, and the movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly. The stopping assembly is configured to limit the movement of the movable assembly relative to the fixed assembly within a range of motion.

Abstract: The present disclosure relates to a chimeric influenza virus hemagglutinin (HA) polypeptide, comprising one or more stem domain sequence, each having at least 60% homology with a stem domain consensus sequence of H1 subtype HA (H1 HA) and/or H5 subtype HA (H5 HA), fused with one or more globular head domain sequence, each having at least 60% homology with a globular head domain consensus sequence of H1 subtype HA (H1 HA) or H5 subtype HA (H5 HA).

Abstract: The present disclosure relates to a chimeric influenza virus hemagglutinin (HA) polypeptide, comprising one or more stem domain sequence, each having at least 60% homology with a stem domain consensus sequence of H1 subtype HA (H1 HA) and/or H5 subtype HA (H5 HA), fused with one or more globular head domain sequence, each having at least 60% homology with a globular head domain consensus sequence of H1 subtype HA (H1 HA) or H5 subtype HA (H5 HA).

Abstract: An unmanned aerial vehicle (UAV) control system and a UAV control method are provided. The UAV control method includes: storing a reporting configuration by a UAV; communicatively connecting to the UAV and storing at least one historical status information corresponding to the UAV by a server; reporting to the server at least one current status information according to the reporting configuration by the UAV; calculating a variance between the at least one historical status information and the at least one current status information by the server; and updating the reporting configuration of the UAV according to the variance by the server.

Abstract: A management apparatus and a management method thereof for electronic equipment are provided. The management apparatus includes a detector, a display and a processor. The detector obtains a detected data related to the electronic equipment. The display presents information. The processor is coupled to the display and the detector. The processor is configured to perform the following steps. The electronic equipment is identified according to the detected data of the electronic equipment. The detected data includes an image of the electronic equipment. Electronic equipment information is obtained according to an identified result of the electronic equipment. The electronic equipment information may include specification information, asset information and/or operation configuration. The electronic equipment information may be displayed on the display. Accordingly, the operation for an on-site engineer would be improved.

Abstract: An unmanned aerial vehicle (UAV) control system and a UAV control method are provided. The UAV control method includes: storing a reporting configuration by a UAV; communicatively connecting to the UAV and storing at least one historical status information corresponding to the UAV by a server; reporting to the server at least one current status information according to the reporting configuration by the UAV; calculating a variance between the at least one historical status information and the at least one current status information by the server; and updating the reporting configuration of the UAV according to the variance by the server.

Abstract: A management apparatus and a management method thereof for electronic equipment are provided. The management apparatus includes a detector, a display and a processor. The detector obtains a detected data related to the electronic equipment. The display presents information. The processor is coupled to the display and the detector. The processor is configured to perform the following steps. The electronic equipment is identified according to the detected data of the electronic equipment. The detected data includes an image of the electronic equipment. Electronic equipment information is obtained according to an identified result of the electronic equipment. The electronic equipment information may include specification information, asset information and/or operation configuration. The electronic equipment information may be displayed on the display. Accordingly, the operation for an on-site engineer would be improved.

Abstract: A hybrid simulation model includes a real model, a bus interface and an acceleration model. The real model simulates a group of instructions. The acceleration model includes a trace generation unit, a trace replay unit, a selection unit, a snapshot generation and load unit and a virtual breakpoint control unit. The trace generation unit records at least one trace file of the real model in a first simulation. The trace replay unit reads and accordingly accesses the at least one trace file. The selection unit dynamically switches to perform a real simulation or a trace simulation. The snapshot generation and load unit generates at least one status snapshot file and loads the at least one status snapshot file to the real model in repeated simulations. The virtual breakpoint control unit controls the selection unit to switch between the trace simulation and the real simulation according to a virtual breakpoint.

Abstract: A system and a corresponding method for multi-core synchronous debugging of a multi-core platform including a plurality of cores are provided. The method includes the following steps. Transmit a core debugging instruction to one of the cores selected by a system debugging instruction or store a group setting included in the system debugging instruction according to the type of the system debugging instruction. Control every core in a group to start executing program instructions simultaneously according to another system debugging instruction. The group is a subset of the cores and the group setting indicates which ones of the cores are included in the group. Use a handshaking mechanism to control all cores of the group to enter a debug mode simultaneously when a debug event happens in any core of the group.

Abstract: A system and a corresponding method for multi-core synchronous debugging of a multi-core platform including a plurality of cores are provided. The method includes the following steps. Transmit a core debugging instruction to one of the cores selected by a system debugging instruction or store a group setting included in the system debugging instruction according to the type of the system debugging instruction. Control every core in a group to start executing program instructions simultaneously according to another system debugging instruction. The group is a subset of the cores and the group setting indicates which ones of the cores are included in the group. Use a handshaking mechanism to control all cores of the group to enter a debug mode simultaneously when a debug event happens in any core of the group.

Abstract: A hybrid simulation model includes a real model, a bus interface and an acceleration model. The real model simulates a group of instructions. The acceleration model includes a trace generation unit, a trace replay unit, a selection unit, a snapshot generation and load unit and a virtual breakpoint control unit. The trace generation unit records at least one trace file of the real model in a first simulation. The trace replay unit reads and accordingly accesses the at least one trace file. The selection unit dynamically switches to perform a real simulation or a trace simulation. The snapshot generation and load unit generates at least one status snapshot file and loads the at least one status snapshot file to the real model in repeated simulations. The virtual breakpoint control unit controls the selection unit to switch between the trace simulation and the real simulation according to a virtual breakpoint.