Abstract: A Lidar system, photonic chip and method of detecting an object. The photonic chip includes a laser and one or more photodetectors. The laser generates a transmitted light beam. The one or more photodetectors are receptive to a reflected light beam that is a reflection of the transmitted light beam from an object and generate an electrical signal as output in response to the reflected light beam signal. An amplifier is configured to amplify a signal related to the reflected light beam to amplify the output signal of the one or more photodetectors. A processor determines a parameter of the object from the amplified output signal.

Abstract: A method for assessing electrocardiogram signal quality, the method comprising: receiving heartbeat analysis data by processing electrocardiogram data acquired from an electrocardiogram monitoring device; extracting position information and width information of a QRS complex in the heartbeat analysis data; extracting an RR interval signal between two adjacent QRS complex signals; performing QRS complex signal cancellation processing on the RR interval signal to obtain an RR interval signal for which the QRS complex signal is removed; filtering the processed RR interval signal without the QRS complex signal, and performing envelope calculation on the filtered signal to obtain the average power of a noise signal of the RR interval signal for which the QRS complex signal is removed; obtaining a signal quality evaluation index according to the average power of the noise signal and the power of the QRS complex signal.

Abstract: A method and system of graph feature extraction and graph classification based on adjacency matrix is provided. The invention first concentrates the connection information elements in the adjacency matrix into a specific diagonal region of the adjacency matrix which reduces the non-connection information elements in advance. Then the subgraph structure of the graph is further extracted along the diagonal direction using the filter matrix. Further, it uses a stacked convolutional neural network to extract a larger subgraph structure. On one hand, it greatly reduces the amount of computation and complexity, getting rid of the limitations caused by computational complexity and window size. On the other hand, it can capture large subgraph structure through a small window, as well as deep features from the implicit correlation structures at both vertex and edge level, which improves speed and accuracy of graph classification.

Abstract: The present disclosure relates to an organic electroluminescent device and a preparation method thereof. The organic electroluminescent device includes a hole injection layer including a first doped layer and/or a second doped layer. The first doped layer includes a P-type dopant, and the second doped layer includes a P-type dopant and a hole transport material. The organic electroluminescent device includes a hole transport layer formed on the hole injection layer, and an electron blocking layer formed on the hole transport layer. A difference in HOMO energy level between the electron blocking layer and the hole transport layer is less than or equal to 0.2 eV. The power consumption of the organic electroluminescent device can be reduced. The lifetime of the mass production device therefore can be increased.

Abstract: A riveting column structure on a back plate of a display module assembly and a display module assembly are disclosed. The riveting column structure on the back plate of the display module assembly includes a back plate and a riveting column. The back plate is provided with a through hole passing through the back plate's inner and outer surfaces, and a first connecting portion is provided at the through hole of the back plate. The riveting column is inserted into the through hole. A plurality of second connecting portions are provided on a side surface of the riveting column. The plurality of second connecting portions are arranged in order in a direction from a position close to an outer end of the riveting column to a position away from the outer end of the riveting column. Each of the plurality of second connecting portions is respectively connected with the first connecting portion.

Abstract: A content data recommendation method based on an identity verification apparatus includes: in response to an operation for identity verification, obtaining a first image of a user, and obtaining attribute information of the user from the first image; sending the attribute information to a content server, so that the content server determines first recommendation content data of the user according to the attribute information; and receiving the first recommendation content data fed back by the content server, and displaying recommendation content corresponding to the first recommendation content data.

Abstract: A chest x-ray differential diagnosis system is operable to generate abnormality pattern data is generated for each of a received plurality of chest x-rays by identifying at least one pattern in each chest x-ray corresponding to an abnormality by utilizing a computer vision model that is trained on a plurality of training chest x-rays. Differential diagnosis data is generated for each chest x-ray based on the abnormality pattern data. Filtering parameters are received from a client device, and a filtered chest x-ray queue that includes a subset of chest x-rays is selected based on the filtering parameters and the differential diagnosis data is generated for transmission to the client device for display. Differential diagnosis data corresponding a chest x-ray indicated in chest x-ray selection data received from the client device is transmitted to the client device for display via the display device in conjunction with the chest x-ray.

Abstract: Embodiments of the present application provide a fingerprint detection device and method and an electronic device. The fingerprint detection device is disposed under a display screen of an electronic device, and includes an optical component and an optical sensor, the optical component is configured to direct or converge a fingerprint detection signal to the optical sensor, the optical sensor is configured to detect corresponding fingerprint information according to the fingerprint detection signal, the fingerprint detection signal is a reflected light signal formed by a light signal corresponding to a predetermined pattern formed in a fingerprint detection area of the display screen being reflected by a user's finger, and the predetermined pattern includes a first pattern and a second pattern; a signal intensity of a first light signal corresponding to the first pattern is smaller than a signal intensity of a second light signal corresponding to the second pattern.

Abstract: A gyroscope-based system and method is disclosed. Image information data is collected; a mechanical arm working environment image is modeled; a heat source supply apparatus and a gyroscope are provided at the mechanical arm proximal end; the position of the proximal end is accurately measured by accurately tracking the heat source at the proximal end; the relative position of the mechanical arm distal end is accurately calculated by using high-precision angle information measured by the high-precision gyroscope in combination with a number-theoretic formula. The disclosure provides separately determining the position of the distal end, or for assisting other algorithms or apparatuses that track the position of the mechanical arm distal end in error correction and calibration of the position of the mechanical arm distal end. The position of the mechanical arm distal end can be continuously and dynamically tracked in real time, and virtualized in the corresponding image system.

Abstract: The disclosure relates to variant carboxylic acid reductase (CAR) enzymes for the improved production of fatty alcohols in recombinant host cells.

Abstract: Provided herein is a method for preparing antimicrobial thermoplastic resins and products thereof.

Abstract: A system for generating a high resolution (HR) computed tomography (CT) image from a low resolution (LR) CT image is described. The system includes a first generative adversarial network (GAN) and a second GAN. The first GAN includes a first generative neural network (G) configured to receive a training LR image dataset and to generate a corresponding estimated HR image dataset, and a first discriminative neural network (DY) configured to compare a training HR image dataset and the estimated HR image dataset. The second GAN includes a second generative neural network (F) configured to receive the training HR image dataset and to generate a corresponding estimated LR image dataset, and a second discriminative neural network (DX) configured to compare the training LR image dataset and the estimated LR image dataset.

Abstract: A lung screening assessment system is operable to receive a chest computed tomography (CT) scan that includes a plurality of cross sectional images. Nodule classification data of the chest CT scan is generated by utilizing a computer vision model that is trained on a plurality of training chest CT scans to identify a nodule in the plurality of cross sectional images and determine an assessment score. A lung screening report that includes the assessment score of the nodule classification data is generated for display on a display device associated with a user of the lung screening assessment system.

Abstract: A next-generation video decoding technique performed by at least one computer processor including determining whether at least one parameter of a block is less than or equal to a threshold, signaling, in response to determining the parameter(s) of the block is/are less than or equal to the threshold, a horizontal transform or vertical transform, splitting, in response to determining that the at least one parameter of the block is greater than the threshold, the block into sub-blocks, applying a first signaling scheme on a luma component and a second signaling scheme on a chroma component, performing ones of transforms on the sub-blocks, and decoding a video stream by using the sub-blocks upon which the ones of the transforms are performed, where a maximum block size of the first signaling scheme is different than a maximum block size of the second signaling scheme.

Abstract: Certain aspects of the present disclosure provide techniques for reporting of a beam correspondence state. Certain aspects provide a method for wireless communication by a first wireless device. The method includes, based on detecting the occurrence of a triggering event, determining one or more beam correspondence states for one or more beams or portions of beams used by the first wireless device for communication. The method further includes transmitting one or more indications of the one or more beam correspondence states to a second wireless device, wherein the one or more indications of the one or more beam correspondence states indicate whether the first wireless device has the capability of beam correspondence between the one or more beams and corresponding one or more transmit or receive beams used by the first wireless device for communication.

Abstract: A power line structure, an array substrate including the power line structure and a display panel are provided. The power line structure (100) includes a conductive plate (110), the conductive plate (110) includes a through hole disposing area (103), the through hole disposing area (103) is provided with a plurality of via holes (101); in at least one sub-area of the through hole disposing area (103), a distribution density of the via holes (101) increases along a direction of decreasing a current density in the conductive plate (110).

Abstract: A Lidar system and method of detecting an object is disclosed. The Lidar system includes a photodetector, a spectrum analyzer and a processor. The photodetector generates an electrical signal in response to a reflected light beam received at the photodetector, the reflected light beam being a reflection of a chirp signal from the object. The electrical signal has a bandwidth the same as a bandwidth of the chirp signal. The spectrum analyzer includes a power divider that partitions the electrical signal into a plurality of channels, an analog-to-digital converter that converts the electrical signal within a selected channel from an analog signal to a digital signal, and a comb filter that provides output from the selected channel from the power divider to the analog-to-digital converter. The processor determines a parameter of the object from the digital signal in the selected channel.

Abstract: A high data rate, high sensitivity, low power optical link using low-bandwidth components and low-bandwidth E/O drivers and receivers and method of building same. The method is based on the idea of making the optical part of the link look like a bandwidth limited lossy electrical channel, so that the powerful equalization methods used in the wireline electrical links can be applied to recover the transmitted data in a situation with low bandwidth and/or high loss and strong inter-symbol interference. Linear and non-linear optical channel components, E/O drivers and receivers can benefit from the apparatus and the methods of the invention.

Abstract: A method for detecting abnormality adapted to detect abnormal operations of an operating system is provided. The method includes: calculating a safe range of usage of the operating system during one or more time periods according to a historical data stream; calculating abnormal ratios corresponding to the one or more time periods according to a current data stream and the safe range of usage; selecting one or more abnormal time periods from the one or more time periods according to a threshold and the abnormal ratios; calculating an abnormal indicator for each of the one or more abnormal time periods according to the historical data stream and the current data stream; and ranking the one or more abnormal time periods according to the abnormal indicator(s).

Abstract: The invention relates to an improved process for synthesizing 6-(cyclopropaneamido)-4-((2-methoxy-3-(1-methyl-1H-1,2,4-triazol-3-yl)phenyl)amino)-N-(methyl-d3)pyridazine-3-carboxamide of the formula: [INSERT CHEMICAL STRUCTURE HERE] Compound I is currently in clinical trials for the treatment of auto-immune and auto-inflammatory diseases such as psoriasis.