Abstract: A connector comprises a housing, at least one row of terminals, at least one row of cables, and at least one grounding element. The at least one row of terminals is installed in the housing, and each row of the terminals includes at least one pair of signal terminals and grounding terminals respectively located on opposite sides of each pair of the signal terminals. The at least one row of cables is respectively connected to the terminals. Each of the cables includes a pair of grounding wires and a pair of signal wires connected to respective ones of each pair of the signal terminals. Each of the at least one grounding element at least partially covers a portion of each of the signal terminals electrically connected to corresponding one of the signal wires, and is electrically connected to each of the grounding terminals.

Abstract: A connector comprises a housing adapted to be fixed on a circuit board, and a first terminal. The first terminal is arranged in the housing and has an elastic end exposed out of the housing. When the housing is fixed to the circuit board, the elastic end of the first terminal reliably contacts a contact pad on the circuit board under a pressing force applied by the housing.

Abstract: In some aspects, a radar device may receive a received signal comprising a reflected frequency modulated continuous wave (FMCW) radar signal and interference. The radar device may identify the reflected FMCW radar signal based at least in part on performing a phase based search procedure to facilitate removing the interference from the received signal. The radar device may perform an action based at least in part on a characteristic of the identified reflected FMCW radar signal. Numerous other aspects are described.

Abstract: The present disclosure is a three-way U-Net method for accurately segmenting an uncertain boundary of a retinal blood vessel, includes: describing an uncertainty of a blood vessel boundary label, constructing an upper bound and a lower bound of the uncertain boundary based on the dilation operator and the erosion operator respectively to obtain a maximum value and a minimum value for the blood vessel boundary, and mapping the boundary with uncertain information into one range; combining an uncertainty representation of the boundary with a loss function, and designing a three-way loss function; training network parameters by adopting a stochastic gradient descent algorithm and utilizing a total loss of the three-way loss function; and designing and implements an auxiliary diagnosis application system for intelligently segmenting the retinal blood vessel with functions of the fundus data acquisition, the intelligent accurate segmentation and the auxiliary diagnosis for the retinal blood vessel.

Abstract: Methods, systems, and devices for wireless communication are described. A user equipment (UE) may receive first control information that enables the UE to skip transmission of a scheduled uplink message via an uplink skipping operation. The UE may receive second control information that requests the UE to switch an active BWP at the UE from a first BWP to a second BWP. The UE may receive third control information that schedules transmission of an uplink message at the UE during a time interval. Application of the uplink skipping operation to the uplink message may be based on the time interval being after the switch and whether the UE is scheduled to transmit a reference signal during the time interval. The UE may transmit, during the time interval and via the second BWP, a signal that is based on whether the UE applies the uplink skipping operation during the time interval.

Abstract: An inspection robot system, including one or more detection devices, a rail, a traction device, one or more connecting devices, and a multi-axis manipulator. The detection devices are configured to at least obtain environmental image information. The rail is suspended in an air. The traction device includes a steel cable and a steel cable drive assembly. The steel cable drive assembly is connected to the steel cable and is configured to drive the steel cable to move along an axial direction of the steel cable. The connecting devices are slidably connected to the rail. The detection devices are respectively arranged on the connecting devices. The connecting devices are connected to the steel cable and are configured to move along the rail under a traction of the steel cable. At least one of the connecting devices is/are each provided with the multi-axis manipulator.

Abstract: The present invention relates to a 3CL protease small-molecule inhibitor for treating or preventing a coronavirus infection, and the use thereof. Specifically, the present invention relates to a compound of formula (I) or an isotopically labeled compound thereof, or an optical isomer, a geometric isomer, a tautomer, or an isomer mixture thereof, or a pharmaceutically acceptable salt thereof, or a prodrug thereof, or a metabolite thereof, and the use thereof in the preparation of a drug for treating or preventing a coronavirus infection or a disease or symptom caused by a coronavirus.

Abstract: Numerous examples are disclosed for an output block coupled to a non-volatile memory array in a neural network and associated methods. In one example, a circuit for converting a current in a neural network into an output voltage comprises a non-volatile memory cell comprises a word line terminal, a bit line terminal, and a source line terminal, wherein the bit line terminal receives the current; and a switch for selectively coupling the word line terminal to the bit line terminal; wherein when the switch is closed, the current flows into the non-volatile memory cell and the output voltage is provided on the bit line terminal.

Abstract: A compression device is provided. The compression device includes at least one support, a pressure applicator connected to the at least one support and a regulator. The pressure applicator is configured to apply compressive pressure to a treatment zone on an abdomen of a subject. The regulator controls the amount of compressive pressure applied to the subject by the pressure applicator. The regulator controls an amount of the compressive pressure from a minimum pressure to a maximum pressure as selected by the subject.

Abstract: Building blocks for implementing Vector-by-Matrix Multiplication (VMM) are implemented with analog circuitry including non-volatile memory devices (flash transistors) and using in-memory computation. In one example, improved performance and more accurate VMM is achieved in arrays including multi-gate flash transistors when computation uses a control gate or the combination of control gate and word line (instead of using the word line alone). In another example, very fast weight programming of the arrays is achieved using a novel programming protocol. In yet another example, higher density and faster array programming is achieved when the gate(s) responsible for erasing devices, or the source line, are re-routed across different rows, e.g., in a zigzag form. In yet another embodiment a neural network is provided with nonlinear synaptic weights implemented with nonvolatile memory devices.

Abstract: A connector includes a housing, a circuit board inserted into the housing and having a plurality of first terminals located on a pair of opposite sides of the circuit board at a rear end of the circuit board, a plurality of wires including a plurality of connecting terminals that are each electrically connected to one of the first terminals, and a fixing mechanism mounted in the housing and fixing the wires on the circuit board. The connecting terminals and the first terminals are exposed outside the fixing mechanism.

Abstract: A plug connector includes a plug housing including a mating end and a cable end. The cable end is oriented perpendicular to the mating end. The plug housing includes a mating chamber at the mating end and a cable chamber at the cable end. The plug connector includes a contact assembly coupled to the plug housing. The contact assembly includes an array of contacts. Each contact includes a mating end and a terminating end. Each contact is a right angle contact having the terminating end being perpendicular to the mating end. The plug connector includes cables terminated to the terminating ends of the contacts. Ends of the cables extend into the cable end of the plug housing. The cables extend from the plug housing at the cable end. The cables extend along linear cable axes from the contacts to the exterior of the plug housing.

Abstract: The present disclosure is a three-way U-Net method for accurately segmenting an uncertain boundary of a retinal blood vessel, includes: describing an uncertainty of a blood vessel boundary label, constructing an upper bound and a lower bound of the uncertain boundary based on the dilation operator and the erosion operator respectively to obtain a maximum value and a minimum value for the blood vessel boundary, and mapping the boundary with uncertain information into one range; combining an uncertainty representation of the boundary with a loss function, and designing a three-way loss function; training network parameters by adopting a stochastic gradient descent algorithm and utilizing a total loss of the three-way loss function; and designing and implements an auxiliary diagnosis application system for intelligently segmenting the retinal blood vessel with functions of the fundus data acquisition, the intelligent accurate segmentation and the auxiliary diagnosis for the retinal blood vessel.

Abstract: A cable connector assembly includes a connector having a first housing, a plurality of first connection terminals disposed in the first housing, a second housing, and a plurality of second connection terminals disposed in the second housing. The cable connector includes a plurality of cables respectively connected to the first connection terminals and a printed circuit board to which the second connection terminals are connected.

Abstract: An electrical connector includes a housing, first and second rows of terminals arranged in the housing, and a ground shield assembly. The first and second rows of terminals are separated from each other and adapted to electrically connect with corresponding terminals of a mated electrical connector. The first and second rows of terminals each include a ground terminal connected to a ground layer of a circuit board and a signal terminal connected to a signal lead wire of the circuit board. The ground shield assembly is positioned between the signal terminal of the first row of terminals and the signal terminal of the second row of terminals and is electrically connected to the ground layer. The ground shield assembly is in electrical contact with a corresponding ground terminal at at least one position of each of at least one ground terminal of the first and/or second row of terminals.

Abstract: Numerous examples of summing circuits for a neural network are disclosed. In one example, a circuit for summing current received from a plurality of synapses in a neural network comprises a voltage source; a load coupled between the voltage source and an output node; a voltage clamp coupled to the output node for maintaining a voltage at the output node; and a plurality of synapses coupled between the output node and ground; wherein an output current flows through the output node, the output current equal to a sum of currents drawn by the plurality of synapses.

Abstract: The present disclosure relates to systems and methods for image processing. The system may obtain low-frequency component of a first image. For each element of the first image, the system may adjust a luminance of the element in response to determining that the luminance of the element is less than a predetermined luminance threshold. The system may determine a first luminance weight map corresponding to the first image based on the adjusted luminance of each element of the first image. The system may obtain low-frequency component of a second image and determine a second luminance weight map corresponding to the second image based on a luminance of each element of the second image. The system may further determine a fused image based on the low-frequency component of the first image, the first luminance weight map, the low-frequency component of the second image, and the second luminance weight map.

Abstract: The present invention discloses a display calibration mechanism for enabling a thermal imaging picture to be aligned with a low-light-level picture on a low-light-level night-vision device, including a base and an adjustment assembly, wherein the base is provided with an imaging member and a display, and the thermal imaging picture on the display and the low-light-level picture on the low-light-level night-vision device are simultaneously imagable on the imaging member, The present invention further discloses an externally-hung thermal imaging device. The adjustment of the relative positions of the thermal imaging picture and the low-light-level picture can be realized to ensure the imaging effect while improving the universality of the thermal imaging device itself.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing a network input using a neural network to generate a network output. The neural network includes a normalization block that is between a first neural network layer and a second neural network layer in the neural network. Processing the network input using the neural network comprises: receiving a first layer output from the first neural network layer; processing data derived from the first layer output using standardization neural network layers of the normalization block to generate one or more adaptive standardization values; standardizing the first layer output using the adaptive standardization values to generate a standardized first layer output; generating a normalization block output from the standardized first layer output; and providing the normalization block output as an input to the second neural network layer.