Abstract: The present application provides an armrest rotating mechanism suitable for being installed on an armrest tube and a frame. The armrest tube is rotatably connected to the frame. The armrest rotating mechanism includes an engagement device and an operation device. The engagement device is disposed between the armrest tube and the frame. Via the engagement device, the armrest tube can be positioned relative to the frame. The operation device is disposed on the armrest tube and connected with the engagement device. When the operation device is rotated, the engagement device is driven by the rotated operation device so as to disengage the armrest tube from the frame. Therefore, the armrest tube is adjustable relative to the frame and has a simple structure and utility convenience.

Abstract: A method for managing network devices, apparatus, and computer readable storage medium are disclosed. The method is applied to a management apparatus. After receiving a login request from a client device, the management apparatus first determines whether the requesting user account is in the stored user account list, and then determines whether the client device is a trusted client and whether it can pass an automatic log-in verification process. The management apparatus enables a network device management function only for a requesting user account that is trusted and which passes the automatic log-in verification process. After the user logs in to the management apparatus, subsequent verification is required to enable management of the actual network device, improving the security of other network devices through the disclosed management apparatus.

Abstract: A computed tomography (CT) imaging system is provided. The CT imaging system includes a gantry, rotatable about an axis of rotation. The CT imaging system also includes a table configured to move a subject to be imaged into and out of a bore of the gantry. The CT imaging system further includes a radiation source mounted on the gantry and configured to emit an X-ray beam. The CT imaging system even further includes one or more detectors configured to detect the emitted X-ray beam, wherein the one or more detectors comprises a flat panel detector disposed within the table, wherein the table is configured to move the flat panel detector into and out of the bore. The CT imaging system is configured to generate a two-dimensional image of the subject utilizing the radiation source and the flat panel detector.

Abstract: A facial image enhancement method includes: determining a plurality of feature regions in a facial image according to feature points of the facial image; correcting an initial enhancement weight coefficient of each feature region of the feature regions and obtaining a weight map of discrete enhancement on the facial image; obtaining a weight map of continuous enhancement on the facial image according to the weight map of discrete enhancement on the facial image; and performing enhancing the facial image according to the weight map of continuous enhancement on the facial image to obtain an enhanced facial image.

Abstract: Embodiments provide a write operation circuit, a semiconductor memory, and write operation method. The write operation circuit includes: a data determination module that determines whether to flip an input data of the semiconductor memory depending on the number of high data bits in the input data so as to generate a flip flag data and a first intermediate data; a data buffer module that determines whether to flip a global bus according to a second intermediate data, where the second intermediate data is an inverted data of the first intermediate data; a data receiving module that decodes the global bus data according to the flip flag data and writes the decoded data into a memory bank of the semiconductor, where the decoding including determining whether to flip the global bus data; and a precharge module that sets the initial state of the global bus to low.

Abstract: According to a method, when it is detected that service traffic needs to be switched from a first optical layer path to a second optical layer path, a first internet protocol (IP) link associated with the service traffic needs to be determined, and an IP link used to transmit the service traffic is adjusted from the first IP link to a second IP link; an optical layer path of the first IP link is switched from the first optical layer path to the second optical layer path after the adjustment of the IP link is completed; and the IP link used to transmit the service traffic is adjusted from the second IP link to the first IP link after the switching of the optical layer path is completed. In this way, continuity of the service traffic can be ensured.

Abstract: The present disclosure relates to a frequency modulation device, a switching power supply and a frequency modulation method thereof. The device includes: a waveform generation unit (10) configured to generate a periodic signal required for performing frequency modulation on a clock signal of a switching power supply to be controlled; a frequency modulation unit (20) configured to perform voltage-current conversion and arithmetic processing based on the periodic signal to obtain a frequency modulation current required for performing the frequency modulation on the clock signal of the switching power supply to be controlled; and an RC oscillation unit (30) configured to perform RC oscillation processing based on the frequency modulation current to obtain a frequency oscillation signal as the clock signal of the switching power supply to be controlled.

Abstract: An ultrasound system with a deep learning neural network feature is used to eliminate haze artifacts in B mode images of the carotid artery by analysis of orthogonal information. In a described implementation the orthogonal information comprises the structural information of a B mode image and motion information of the same field of view as that of the B mode image. In another embodiment the neural network reduces haze artifacts by reducing TGC gain at the depth of artifacts.

Abstract: A dust collector for use with a power tool comprises a housing, a telescoping suction pipe coupled to the housing, a suction fan positioned in the housing and operable to generate a vacuum in the suction pipe, a dust container coupled to the housing and positioned upstream of the fan, a filter at least partially arranged in the dust container, and a filter cleaning mechanism. The filter cleaning mechanism includes an anvil, a striker moveable between a first striker position, in which the striker is spaced from the anvil, and a second striker position, in which the striker is in contact with the anvil. The filter cleaning mechanism further includes an actuator moveable between a first actuator position and a second actuator position, in which the actuator is moved closer to the anvil than in the first position, and a first spring biasing the striker toward the anvil.

Abstract: A memory device and its addressing method are disclosed. The memory device includes: an input module for receiving an input signal including an access address, a command, and a decoding selection instruction; a memory array including memory blocks, each having memory units arranged in an array; and a control module including memory block local control units, which respectively connected to one of the memory blocks in one-to-one correspondence. The memory block local control unit includes: at least one decoding unit, which performs redundant decoding or normal decoding to the input signal. The input of the decoding unit is coupled to the input module and the output is coupled to one of the memory units. The device further includes a selection module; the input of the selection module is coupled to the input module, and the output is coupled to the decoding unit. The addressing efficiency of the memory device is improved.

Abstract: The processing method comprises: acquiring a first image set corresponding to a product category; labelling at least one region of interest for each image in the first image set, wherein each region of interest is used for representing an object; acquiring a scanning window; using the scanning window to scan the regions of interest, acquiring scanning results, and placing the scanning results into a sample training set; establishing an illustration frame acquisition model by taking the first image set as input and taking the sample training set as output; acquiring an image to be processed, and using the illustration frame acquisition model to acquire a target webpage illustration frame corresponding to the image to be processed; and cutting, according to the target webpage illustration frame, the image to be processed so as to obtain a target webpage illustration.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: Provided herein are turn-on fluorescent chemical probes useful for monitoring and/or detecting lysine delipoylation activity in a sample including or suspected of including a delipoylation enzyme.

Abstract: A protection circuit (10), a power supply circuit, and a display panel. The protection circuit (10) comprises a feedback circuit (100) and a current adjusting circuit (200). The reaction circuit (100) is used for receiving a supply voltage, adjust the first general resistance thereof according to the temperature of a data drive chip, and generate a reaction voltage according to the supply voltage and the adjusted first resistance. The current adjusting circuit (200) is used for receiving the supply voltage and the reaction voltage, and generate and output a driving current according to the reaction voltage and the supply voltage, the driving current decreasing following a rise in the temperature of the data drive chip; when the driving current is reduced, the thermal energy power consumption of the data drive chip is reduced so as to prevent burnout due to the temperature at the interior thereof being too high.

Abstract: A facial image enhancement method includes: determining a plurality of feature regions in a facial image according to feature points of the facial image; correcting an initial enhancement weight coefficient of each feature region of the feature regions and obtaining a weight map of discrete enhancement on the facial image; obtaining a weight map of continuous enhancement on the facial image according to the weight map of discrete enhancement on the facial image; and performing enhancing the facial image according to the weight map of continuous enhancement on the facial image to obtain an enhanced facial image.

Abstract: A method for training an image processing model, includes: acquiring M frames of long-distance shot images of each of N training scenes, both N and M being positive integers greater than 1; acquiring a short-distance standard image of each training scene; for each training scene, clipping the M frames of long-distance shot images to obtain a same field of view as that of the short-distance standard image, and aligning the M frames of long-distance shot images after being clipped with the short-distance standard image; forming a training sample couple of each training scene by the M frames of long-distance shot images and the short-distance standard image after alignment, and forming a training sample set by N training sample couples corresponding to the N training scenes; and training an image processing model based on the training sample set.

Abstract: There is disclosed compositions and methods relating to or derived from anti-c-Met antibodies. More specifically, there is disclosed fully human antibodies that bind c-Met, c-Met-binding fragments and derivatives of such antibodies, and c-Met-binding polypeptides comprising such fragments. Further still, there is disclosed nucleic acids encoding such antibodies, antibody fragments and derivatives and polypeptides, cells comprising such polynucleotides, methods of making such antibodies, antibody fragments and derivatives and polypeptides, and methods of using such antibodies, antibody fragments and derivatives and polypeptides, including methods of treating or diagnosing subjects having c-Met related disorders or conditions, including various inflammatory disorders and various cancers.

Abstract: The repair circuit is disposed in a memory including a normal memory area and a redundant memory area including a target repair unit immediately adjacent to the normal memory area, and the repair circuit being configured to control the target repair unit to repair an abnormal memory cell in the normal memory area. The repair circuit includes: a first control circuit, configured to receive signals at a target number of bits from low to high in a row address, process the received signals to obtain a control result, and output the control result, where the target number is associated with a number of Word Lines in the target repair unit; and a repair determination circuitry, connected to an output terminal of the first control circuit, and configured to receive the control result and output, in combination with the control result, a repair signal indicating whether to perform a repair operation.

Abstract: A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

Abstract: A connector to be mated with a mating connector through a lock, includes: a connector body including an mounting portion having a receiving space and a slide groove provided on the mounting portion; and an unlocking mechanism held on the connector body, the unlocking mechanism including an unlocking slider slidable along the slide groove and an elastic member for driving the unlocking slider to slide; wherein the slide groove has a convex surface protruding outward, the unlocking slider has a concave surface cooperating with the convex surface of the slide groove, the concave surface makes a wall thickness of the unlocking slider uneven, and the elastic member is located at an area of the unlocking slider having a thicker wall thickness.