Abstract: A security key verification method for wireless charging includes: acquiring a security key of a wireless charging device and synchronizing the security key to a processor of an apparatus to be charged; and in response to the wireless charging device sending a security key verification request to a wireless charging receiver of the apparatus to be charged, transmitting the security key verification request via pass-through from the wireless charging receiver to the processor of the apparatus to be charged, and verifying the security key between the processor of the apparatus to be charged and the wireless charging device.

Abstract: A system may include one or both of a light emitter and a light receiver. The system may include an optical filter adjacent one or both of the light emitter or the light receiver. The optical filter includes a wavelength selective scattering layer. The wavelength selective scattering layer may have a near-infrared scattering ratio of less than about 0.9. The filter may have a visible reflective haze ratio of greater than about 0.5. A method may include disposing the wavelength selective scattering layer adjacent one or both of the light emitter and the light receiver. An article may include the optical filter. The wavelength selective scattering layer may have an average near-infrared scattering of less than 60%, an average visible scattering of greater than 10%, and a difference between the % total visible reflectance and the % diffuse visible reflectance of less than 20.

Abstract: A document processing system processes documents including typewritten and/or handwritten data by converting them to document images for entity extraction. A received document is initially processed to generate a deep document data structured and for classification as one of a structured or an unstructured document. If the document is classified as a structured document, it is processed for entity extraction based on a matching template and image alignment of the document image with the matching template. If the document is classified as an unstructured document, entities are extracted by obtaining nodes and providing the nodes to a self-supervised masked visual language model.

Abstract: A sense amplifier, a memory and a method for controlling the sense amplifier are provided. The sense amplifier includes: an amplification module, arranged to read data in a memory cell; and a control module, electrically connected to the amplification module. In a first offset compensation stage of the sense amplifier, the control module is arranged to configure the amplification module to include a first inverter and a second inverter, and each of the first inverter and the second inverter is an inverter an input terminal and an output terminal connected to each other; and in a second offset compensation stage of the sense amplifier, the control module is arranged to configure the amplification module to include a current mirror structure.

Abstract: The present invention provides a fractional order sliding mode synchronous control method for a teleoperation system based on an event trigger mechanism. The method comprises: establishing a dynamics model for the teleoperation system by considering external disturbance and parameter uncertainty, selecting a master robot and a slave robot, interactively establishing the teleoperation system through a communication network, determining system parameters of the dynamics model, designing a fractional order nonsingular rapid terminal sliding mode surface equation by utilizing a position tracking error and a fractional order calculus, setting a trigger event condition of information interaction between the master robot and the slave robot, designing a self-adaptive fractional order nonsingular rapid terminal sliding mode controller based on the sliding mode, designing a Lyapunov function to carry out stability analysis, proving the boundedness of a closed-loop state signal of the system.

Abstract: The validity of engineering drawings is automatically determined based on compliance of the specifications of the engineering drawings with automatically generated rules. A document package including images of the engineering drawings and related documents is received. Rules codifying the requirements to be fulfilled by the engineering drawings are automatically generated from the related documents. Data such as specifications of the various parts of the entities in the engineering drawings are automatically extracted. The extracted data is analyzed to determine compliance with the rules to validate the engineering drawings.

Abstract: An example optical filter may include an angle blocking layer having a first angular light blocking range ?AL relative to a normal axis, and an interference filter adjacent the angle blocking layer having a second angular light blocking range ?IF relative to the normal axis. ?IF and ?AL at least partially overlap. The example optical filter has a predetermined light transmission zone comprising angles from 0° to a maximum light transmission angle ?Tmax relative to a normal axis of the major surface. The example optical filter has a predetermined angular light blocking zone ?B, a union of ?IF and ?AL. An example optical filter may include an interference filter having an incidence angle-dependent reflection band and an absorbing layer having an absorption band. The incidence angle-dependent reflection band and the absorption band may overlap at at least one wavelength at at least one angle of incidence.

Abstract: A method for using an offline acceptance workshop of a multi-line laser radar automatic driving device (100). The offline acceptance workshop comprises a workshop main body (1), an acceptance parking platform (2), an acceptance detection device (3) and an acceptance control system. The acceptance parking platform (2) comprises a horizontal platform (21), a parking positioning device (22) and a parking fixed point device (23); the acceptance detection device (3) is arranged on a side wall, opposite to the outlet (11), of the workshop main body (1); the acceptance control system is used for controlling the work; the workshop can automatically point and position the automatic driving device (100); whether the installation of the multi-line laser radar is accurate can be quickly and effectively detected; and whether the function is normal or not can be quickly and effectively detected.

Abstract: A display device is disclosed. The display device includes a display panel assembly and a backlight unit positioned behind the display panel assembly, the backlight unit including a light guide plate and a backplane assembly. The backplane assembly comprises a printed circuit board and a plurality of light sources distributed thereon. The backplane assembly may further include a reflector and a support frame. The backplane assembly also includes a plurality of standoffs sized to provide a small, predetermined gap between the light sources and the light guide plate. An adhesive disposed in the gap couples the light sources to a surface of the light guide plate.

Abstract: The present disclosure relates to a system, a method, and a product for using deep learning models to quantify and/or improve trust in conversations. The system includes a non-transitory memory storing instructions executable to construct a deep-learning network to quantify trust scores; and a processor in communication with the non-transitory memory. The processor executes the instructions to cause the system to: obtain a trust score for each voice sample in a plurality of audio samples, generate a predicated trust score by the deep-learning network based on each voice sample in the plurality of audio samples, wherein the deep-learning network comprises a plurality of branches and an aggregation network configured to aggregate results from the plurality of branches, and train the deep-learning network based on the predicated trust score and the trust score for each voice sample to obtain a training result.

Abstract: A parallel core simulation device for commingling production in low-permeability gas reservoirs includes a gas supercharger configured to provide a high pressure gas to simulate a fluid in a gas reservoir, a plurality of core holders arranged in parallel, a thermostat configured to control a temperature of each core holder to simulate a temperature of the gas reservoir, a pressure pump configured to control a pressure applied to each core holder to simulate a confining pressure of the gas reservoir, a first back-pressure valve communicated with each core holder, a fully-automatic gas meter configured to measure a rate and a volume of gas production and a second hydraulic pump configured to simulate a part of a gas well Christmas Tree.

Abstract: A quantum error correction (QEC) decoding system includes an error correction chip. The error correction chip is configured to: obtain error syndrome information of a quantum circuit; and decode the error syndrome information by running neural network decoders, to obtain error result information, a core operation of the neural network decoders being a multiply accumulate (MA) operation of unsigned fixed-point numbers obtained through numerical quantization. According to the present disclosure, for the system that uses the neural network decoders for QEC decoding, the core operation of the neural network decoders is the MA operation of unsigned fixed-point numbers obtained through numerical quantization, thereby minimizing the data volume and the calculation amount desirable by the neural network decoders, so as to better meet the requirement of real-time error correction.

Abstract: The present invention relates to a novel tumor-specific polypeptide and use thereof. In particular, the present invention relates to a tumor-specific polypeptide having high affinity for HLA-A0201 and having cytotoxic T lymphocyte inducing ability, and its use for diagnosing, preventing and treating diseases (especially cancer) associated with high expression of the TWISTNB gene or mutation(s) in the TWISTNB gene.

Abstract: Implementations of the present disclosure include receiving a goal, providing a problem-specific knowledge graph that is responsive to at least a portion of the goal, determining a set of events from the problem-specific knowledge graph, processing data representative of events in the set of events through a first machine learning (ML) model to provide a set of event scores, each event score in the set of event scores being associated with a respective event in the set of events, determining a sub-set of events based on the set of event scores, for each event in the sub-set of events, determining at least one action by processing a sequence of actions through a second ML model, and outputting the sub-set of events and a set of actions for execution of at least one action in the set of actions.

Abstract: A high extinction-ratio rotator includes a collimator that can collimate a signal light from an optical fiber, a pair of polarizing splitting prisms that include a first birefringence crystal wedge and a second birefringent crystal wedge, that can separate two orthogonal polarization components of the signal light into a vertically polarized light and a horizontally polarized light, a non-reciprocal 45-degree polarization rotator which the vertically polarized light and the horizontally polarized light exiting the pair of polarizing splitting prisms pass through, and a reflector. The vertically polarized light and the horizontally polarized light exiting the non-reciprocal 45-degree polarization rotator intersect on a surface of the reflector and are reflected back into the non-reciprocal 45-degree polarization rotator.

Abstract: Gradient permittivity films are described. In particular, gradient permittivity films including a plurality of layers each having a thickness where at least one layer is perforated and has a different air volume fraction from another of the plurality of layers by at least 0.05. Such films may be useful in improving the signal to noise ratio for transmitting and receiving units operating between 20 GHz and 300 GHz behind a protective cover.

Abstract: The present disclosure relates to a system, a method, and a product for using machine learning models to quantify and/or improve trust in conversations. The system includes a non-transitory memory; and a processor in communication with the non-transitory memory. The processor executes the instructions to cause the system to: obtain a set of vocal features and a set of text features for each sample in audio samples; obtain a trust score for each sample; perform a preprocess to obtain a set of input features for each sample; determine a type of machine-learning algorithm for the machine-learning network; tune a set of hyper parameters for the machine-learning network; generate a predicated trust score by the machine-learning network with the sets of input features for each sample; and train the machine-learning network based on the predicated trust score and the trust score for each sample to obtain the training result.

Abstract: A technique of determining the presence of a species in a sample may include passing light through an optical filter. In an example, the optical filter may include a spatially variant microreplicated layer optically coupled to a wavelength selective filter. The wavelength selective filter may have a light incidence angle-dependent optical band. The spatially variant microreplicated layer may be configured to transmit light to a first optical region of the wavelength selective filter at a first predetermined incidence angle and to a second optical region of the wavelength selective filter at a second predetermined incidence angle.

Abstract: The method for driving the display panel of the present disclosure includes: acquiring original driving data of an image to be displayed, wherein the original driving data includes a plurality of sub-driving data pieces; the sub-driving data pieces corresponding to a gray scale not exceeding a first threshold value are called first kind sub-driving data pieces, the sub-driving data pieces corresponding to a gray scale not less than a second threshold value are called second kind sub-driving data pieces, and the second threshold value is larger than the first threshold value; judging whether the original driving data satisfies an adjustment condition; and in response to that the original driving data is judged to satisfy the adjustment condition, performing a polarity adjustment on the original driving data to obtain corrected driving data, and driving the display panel to display according to the corrected driving data.

Abstract: A polymer binder with high peel strength is used in a secondary lithium battery. The polymer binder is obtained by a ring-opening reaction of polyvinylene carbonate by a nucleophile. The polyvinylene carbonate accounts for 10-90% of the total mass of the polymer binder while the nucleophile accounts for 10-90% of the total mass of the polymer binder. The polymer binder has high peel strength (0.02-0.6 N/mm) and high decomposition voltages (4.5-6.0 V), and can be used as an electrode material binder in a secondary lithium battery.