Abstract: A rotation mechanism, includes a middle housing (1), a first support (2) and a second support (3), a first end of the first support is rotatably connected to the middle housing, and a second end of the first support is fixedly connected to a first housing; a first end of the second support is rotatably connected to the middle housing, and a second end of the second support is fixedly connected to a second housing.

Abstract: The present disclosure provides an electronic device including a substrate, a conductive pad, a chip and an insulating layer. The conductive pad is disposed on the substrate. The chip is disposed on the conductive pad. The insulating layer is disposed between the conductive pad and the chip, wherein the insulating layer includes an opening, and the chip is electrically connected to the conductive pad through the opening. An outline of the opening includes a plurality of curved corners in a normal direction of the substrate.

Abstract: A receiving circuit of a deserializer is provided. The receiving circuit of the deserializer receives an input signal and includes: a signal receiving terminal for receiving the input signal; a link equalizer circuit (LEQ) having a first input terminal coupled to the signal receiving terminal; and an out-of-band signaling (OOBS) circuit having a second input terminal coupled to the signal receiving terminal; a first resistor coupled between the signal receiving terminal and a first reference voltage; and a second resistor coupled between the signal receiving terminal and a second reference voltage; and a buffer circuit having a third input terminal and an output terminal, wherein the third input terminal receives a voltage, and the output terminal is coupled to the LEQ or the OOBS circuit. The first input terminal of the LEQ and the second input terminal of the OOBS circuit are not electrically coupled, and the voltage is adjustable.

Abstract: Systems and methods for a weakly supervised action localization model are provided. Example models according to example aspects of the present disclosure can localize and/or classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. The example models can predict temporal intervals of human actions given video-level class labels with no requirement of temporal localization information of actions. The example models can recognize actions and identify a sparse set of keyframes associated with actions through adaptive temporal pooling of video frames, wherein the loss function of the model is composed of a classification error and a sparsity of frame selection. Following action recognition with sparse keyframe attention, temporal proposals for action can be extracted using temporal class activation mappings, and final time intervals can be estimated corresponding to target actions.

Abstract: An electronic device interfaced with a multiple digital signatures security engine, internally or externally, which enable the device to obtain PUF-based security credentials with the option to generate multiple unique digital signatures from the same source of PUF entropy. The multiple digital signatures security zone includes a source of PUF entropy dynamically measurable, a non-volatile memory storage media and a digital circuitry performing all the functions requested by the electronic device interfaced. The electronic device is able to select and switch between which unique digital signature to be involved for its related cybersecurity applications without depending on power-up sequences or single time operations after power-up sequence.

Abstract: A management device comprises a first authentication module, for receiving a first information and performing a first determination on whether an administrator device is correct according to the first information; an authorization module, coupled to the first authentication module, for performing a second determination on whether the administrator device comprises an access qualification for a remote device, when the first determination is positive and when receiving a first request message for accessing the remote device; a communication module, coupled to the authorization module, for transmitting a second request message for establishing a connection with a network device to the remote device, when the second determination is positive and when determining to establish the connection with the network device; an integration module, coupled to the authorization module, for transmitting a third request message for configuring a port forwarding to the network device, when the second determination is positive.

Abstract: Provided is a use of a Neurog2 functional fragment. The functional fragment can induce, in vivo or in vitro, glial cell formation into functional neuron cells, and thus can not only have a transdifferentiation function in normal tissue, but also facilitate neural reconstruction of damaged neural tissue.

Abstract: A packing method for a defective sheet based on branch-and-cut algorithm, including: acquiring sheet information, where the sheet information includes size information of the defect sheet, size information of a target block and position information of a defect; based on actual cutting requirements, establishing constraints; and establishing a primal problem model according to the constraints; converting the primal problem model into a relaxed problem model; checking and verifying the obtained solution by x-check method to determine whether the obtained solution meets the constraints of the primal problem model; outputting the optimal solution to obtain an optimal cutting plan that meets the actual cutting requirements; and cutting the defective sheet according to the optimal cutting plan. A system for implement the packing method is also provided.

Abstract: A semiconductor layer structure may include a substrate, a blocking layer disposed over the substrate, and one or more epitaxial layers disposed over the blocking layer. The blocking layer may have a thickness of between 50 nanometers (nm) and 4000 nm. The blocking layer may be configured to suppress defects from the substrate propagating to the one or more epitaxial layers. The one or more epitaxial layers may include a quantum-well layer that includes a quantum-well intermixing region formed using a high temperature treatment.

Abstract: A rotating mechanism includes a main shaft assembly, a first fixed bracket, a second fixed bracket, a first transmission arm, a first rotating arm, a second transmission arm, and a second rotating arm. One end of the first transmission arm is slidably connected to the second fixed bracket, and the other end of the first transmission arm is a rotating end and is rotatably connected to the main shaft assembly. Two ends of the first rotating arm are rotatably connected to the first transmission arm and the first fixed bracket respectively. One end of the second transmission arm is slidably connected to the first fixed bracket, and the other end of the second transmission arm is rotatably connected to the main shaft assembly. Two ends of the second rotating arm are rotatably connected to the second transmission arm and the second fixed bracket respectively.

Abstract: An apparatus is provided that includes a control unit and a memory including computer program code. The apparatus is capable of applying a first signal having a first value and a second signal having a second value to an electronic component and receiving a first feedback signal. The apparatus is capable of determining a first parameter associated with the first feedback signal. The apparatus is capable of applying a third signal having a third value and the second signal to the electronic component and receiving a second feedback signal. The apparatus is capable of determining a second parameter associated with the second feedback signal. The apparatus is capable of applying a fourth signal having a fourth value and the second signal to the electronic component if the first parameter is different from the second parameter.

Abstract: The present disclosure discloses a pre-driver circuit and a driving device. The pre-driver circuit includes a first transistor, a second transistor, and a resistive component. The first transistor has a first terminal coupled to a first voltage, a second terminal for outputting a pre-driving signal, and a control terminal for receiving a first control signal. The second transistor has a first terminal coupled to the second terminal of the first transistor, a second terminal coupled to a second voltage, and a control terminal for receiving the first control signal. The resistive component has a first terminal coupled to the first terminal of the second transistor, and a second terminal coupled to the second terminal of the second transistor. One of the first transistor and the second transistor is a P-type transistor, and the other is an N-type transistor.

Abstract: A screwdriver structure includes a main body, a switch set assembled with the main body, and a press set assembled with the main body and the switch set. The main body is provided with a drive portion, a first chamber, a second chamber, a resting edge, and at least one first slide. The switch set includes two first clamping portions. When the switch set is pressed, the two first clamping portions are moved toward each other or moved away from each other. The press set is pressed and moved in the first chamber to push the switch set, so that the two first clamping portions are moved to clamp and lock the press set. When the press set is pressed again, the two first clamping portions are moved to release the press set.

Abstract: Embodiments maintain a data pool that includes heterogeneous data sets, and receiving a first data batch of a data set from a data source into the data pool. Embodiments determine a current state of the data set based on a data set state diagram including a plurality of data set states, and identify a condition of the first data batch. Embodiments further set a data batch state for the first data batch, based on a data batch state diagram, and update the data batch state of a prior data batch received before the first data batch, based on the condition of the first data batch. Embodiments additionally transition the data set state diagram, based on the condition of the first data batch, to an updated data set state. Embodiments maintain a data state repository storing the data set state for each of the plurality of heterogeneous data sets.

Abstract: Semiconductor devices having improved gate electrode structures and methods of forming the same are disclosed. In an embodiment, a semiconductor device includes a gate structure over a semiconductor substrate, the gate structure including a high-k dielectric layer; an n-type work function layer over the high-k dielectric layer; an anti-reaction layer over the n-type work function layer, the anti-reaction layer including a dielectric material; a p-type work function layer over the anti-reaction layer, the p-type work function layer covering top surfaces of the anti-reaction layer; and a conductive cap layer over the p-type work function layer.

Abstract: The embodiments of the disclosure provide a method and a system for detecting a hand gesture, and a computer readable storage medium. The method includes: determining whether information of a hand is enough for identifying a hand gesture of the hand; in response to determining that the information of the hand is enough for identifying the hand gesture, identifying the hand gesture, receiving first hand gesture information from at least one external gesture information provider, and correcting the hand gesture based on the first hand gesture information; in response to determining that the information of the hand is not enough for identifying the hand gesture, receiving second hand gesture information from the at least one external gesture information provider, obtaining a predicted hand gesture, and obtaining the hand gesture based on the predicted hand gesture and the second hand gesture information.

Abstract: A method and a system for manufacturing a semiconductor package structure are provided. The method includes: (a) providing a package body including at least one semiconductor device encapsulated in an encapsulant; (b) providing a flattening force to the package body; (c) thinning the package body after (b); (d) attaching a film to the package body; and (e) releasing the flattening force after (d).

Abstract: The present invention discloses a method for determining psychological stress. The method includes the steps of: acquiring physiological parameter data comprising a first physiological parameter and a second physiological parameter temporally corresponding to the first physiological parameter; determining a reliability in an estimation of the psychological stress of the physiological parameter data based on a degree of match between the physiological parameter data and a plurality of criteria, wherein the plurality of criteria are determined based on a first reference value of the first physiological parameter and a second reference value of the second physiological parameter; and determining an indicator of the psychological stress based on the physiological parameter data and the reliability in the estimation of the psychological stress of the physiological parameter data.

Abstract: Systems and methods for a weakly supervised action localization model are provided. Example models according to example aspects of the present disclosure can localize and/or classify actions in untrimmed videos using machine-learned models, such as convolutional neural networks. The example models can predict temporal intervals of human actions given video-level class labels with no requirement of temporal localization information of actions. The example models can recognize actions and identify a sparse set of keyframes associated with actions through adaptive temporal pooling of video frames, wherein the loss function of the model is composed of a classification error and a sparsity of frame selection. Following action recognition with sparse keyframe attention, temporal proposals for action can be extracted using temporal class activation mappings, and final time intervals can be estimated corresponding to target actions.