Abstract: A medical endoscope image recognition method is provided. In the method, endoscope images are received from a medical endoscope. The endoscope images are filtered with a neural network, to obtain target endoscope images. Organ information corresponding to the target endoscope images is recognized via the neural network. An imaging type of the target endoscope images is identified according to the corresponding organ information with a classification network. A lesion region in the target endoscope images is localized according to an organ part indicated by the organ information. A lesion category of the lesion region in an image capture mode of the medical endoscope corresponding to the imaging type is identified.

Abstract: Embodiments are presented herein of apparatuses, systems, and methods for a user equipment device (UE) and/or cellular network to perform downlink control information (DCI) mode signaling and control resource set (CORESET) selection. A DCI mode may be signaled based on a predefined rule, media access control (MAC) control element (CE), and/or group based beam reporting. One or more CORESETs may be selected based on configuration of an active bandwidth part (BWP), CORESET identifier, higher layer index, periodicity, type of search space, and/or MAC CE.

Abstract: This disclosure relates to techniques for performing wireless communications by a network in communication with a UE that is moving rapidly. The network may adapt communication techniques in response to the UEs motion. For example, reference signals may be transmitted to the UE from additional transmission and reception points and/or using different configurations.

Abstract: The present disclosure provides use of Clostridium ghonii combined with a tumor angiogenesis inhibitor in preparing a pharmaceutical product for treating a tumor. The present disclosure further provides a drug for treating a tumor, where the drug includes active ingredients of Clostridium ghonii and a tumor angiogenesis inhibitor.

Abstract: A service device (e.g., a user equipment (UE), a new radio NR (gNB), or other network component) as a service provider/consumer can process or generate sidelink communications based on a downlink control information (DCI) for one or more sidelink configured grants that enables resource allocation for the sidelink communication. The device can determine whether to activate, release/deactivate, or request a retransmission for the one or more sidelink configured grants based on one or more fields of a DCI format 3_0 configuration of the DCI.

Abstract: This application relates to an image recognition model training method, an image recognition method, apparatus, and system. The method includes: obtaining a to-be-recognized image; extracting image feature information of the to-be-recognized image; and obtaining a lesion category recognition result of the to-be-recognized image by using the image feature information of the to-be-recognized image as an input parameter of a preset image recognition model, the image recognition model being trained by using a training image sample set comprising at least one strong-label training image sample, to determine the lesion category recognition result; and the strong-label training image sample representing an image sample having strong-label information, and the strong-label information comprising at least annotation information of a lesion category and a lesion position in the strong-label training image sample.

Abstract: Embodiments of the present disclosure relate to a solution for translation verification and correction. According to the solution, a neural network is trained to determine an association degree among a group of words in a source or target language. The neural network can be used for translation verification and correction. According to the solution, a group of words in a source language and translations of the group of words in a target language are obtained. An association degree among the group of words and an association degree among the translations can be determined by using the trained neural network. Then, whether there is a wrong translation can be determined based on the association degrees. In some embodiments, corresponding methods, systems and computer program products are provided.

Abstract: Some aspects of this disclosure relate to apparatuses and methods for implementing techniques for a user equipment (UE) to multiplex a first HARQ of a first priority and a second HARQ of a second priority to form an initial UCI payload. The UE can select a PUCCH resource accordingly to a PUCCH configuration, and generate a second UCI payload by removing or replacing at least a portion of the initial UCI payload when a size of the initial UCI payload is larger than a size of the PUCCH resource. The UE can encode at least a part of the second UCI payload including the first HARQ to generate an error correction code word. Afterwards, the UE can add the error correction code word to the second UCI payload to generate a transmission UCI payload, and transmit the transmission UCI payload to the base station.

Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.

Abstract: Systems and methods for using clear channel assessment (CCA) on a channel prior to transmitting the channel are disclosed. A wireless transmission system may perform omnidirectional CCA using a CCA power threshold that is calculated based on a number of synchronization signal blocks (SSBs) transmitted by the wireless transmission system per SSB burst or per synchronization signal/physical broadcast channel (SS/PBCH) block measurement timing configuration (SMTC) window, or on a number of transmit (Tx) antennas used. A wireless transmission system may perform directional CCA on one or more Rx beams that correspond to one or more intended Tx beams using CCA power thresholds calculated based on an equivalent isotropic radiated power (EIRP) of the one or more intended Tx beams to determine directional availability of the channel. A wireless transmission system may determine a CCA power threshold based on a scaling between an actual CCA bandwidth and a nominal CCA bandwidth.

Abstract: Liquid polymer and inverse emulsion compositions comprising: one or more hydrophobic liquids having a boiling point at least about 100° C.; one or more acrylamide-(co)polymers; one or more emulsifier surfactants; one or more inverting surfactants; and one or more siloxane polyether compounds. When the composition is inverted in an aqueous solution, it provides an inverted solution having a filter ratio using a 1.2 micron filter (FR1.2) of about 1.5 or less.

Abstract: The present application relates to devices and components including apparatus, systems, and methods for search space grouping to facilitate repeated transmissions of a physical downlink control channel in wireless communication systems.

Abstract: Liquid polymer and inverse emulsion compositions comprising: one or more hydrophobic liquids having a boiling point at least about 100° C.; one or more acrylamide-(co)polymers; one or more emulsifier surfactants; one or more inverting surfactants; and one or more poly(alkyl)acrylate compounds. When the composition is inverted in an aqueous solution, it provides an inverted solution having a filter ratio using a 1.2 micron filter (FR1.2) of about 1.5 or less.

Abstract: An apparatus is disclosed, which may include: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: receiving downlink channel estimates between a plurality of access point (AP) antennas of one or more APs and a plurality of user equipment (UE) antennas of one or more UEs; iteratively updating a set of power allocation weights for the AP antennas using weights extracted from a precoder; computing the precoder based on the received channel estimates and a previous set of power allocation weights; performing the iterative updates until a stopping criterion is reached; and outputting data representative of a precoder computed from the received channel estimates and the updated set of power allocation weights.

Abstract: Embodiments disclosed relate to apparatuses, systems, and methods for improved handling of phase noise (PN) in millimeter wave (MMW or mmWave) communications in a wireless communication system, such as 5G NR. When severe phase noise is present in a communication link, the link performance can be substantially degraded. Thus, it would be desirable to utilize techniques to compensate for phase noise in mmWave communications. In Rel-15, a Phase Tracking Reference Signal (PT-RS or PTRS) was specified for both downlink and uplink communications, specifically for Cyclic Prefix-Orthogonal Frequency Division Multiplexing (CP-OFDM) and Discrete Fourier Transform spread Orthogonal Frequency Division Multiplexing (DFT-S-OFDM). However, prior art approaches to PTRS using block-based pilot allocation schemes required complicated receiver processing.

Abstract: The present disclosure provides a method for recycling urea-formaldehyde (UF) from a wood-based panel. In the present disclosure, the UF is depolymerized by an ultrasonic treatment, and depolymerized UF can be reused for UF manufacture and wood-based panel production. The recycled and treated UF can be repeatedly used in wood-based panel manufacture without affecting performances of the wood-based panel. UF-glued wood-based panels can be recycled, and a recycled wood-based panel raw material can replace at least 50% of a non-recycled wood-based raw material for particle board production without affecting performances of the wood-based panel.

Abstract: The embodiment of the present disclosure provides a recovery device for oil spilling on water, a control method thereof, and a recovery vessel. The recovery device includes a casing, a control center, a variable pressure airbag, an oil detector, an isolation layer, a water suction pump, and a drain pipe. The casing is of a hollow structure, the hollow structure is used to accommodate an oil-water mixture and used as a temporary oil collection tank, the upper part of the casing is provided with an oil-water mixture inlet, the bottom of the casing is provided with a drain port, and the side wall of the casting is provided with an oil suction port. The variable pressure airbag is arranged outside the casing, and the variable pressure airbag is configured to adjust buoyancy of the recovery device. The water suction pump is configured to pump out water in the casing and discharge water to a water environment outside the casing through the drain pipe.

Abstract: Methods and apparatus are provided for searcher resource coordination between NR mobility based measurement and LTE (E-UTRA) PRS based measurement without measurement gap in EN-DC mode or NE-DC mode. Other embodiments are also provided for searcher resource coordination between NR PRS measurement and LTE (E-UTRA) PRS measurement without measurement gap in EN-DC mode or NE-DC mode. Further embodiments provide for searcher resource coordination between NR or LTE (E-UTRA) PRS measurement and NR mobility measurement without measurement gap in EN-DC mode or NE-DC mode.

Abstract: The embodiments of the present disclosure provide a detachable anti-vibration sealing protection device for a pipe flange. The protection device includes a casing, wherein left and right end surfaces of the casing have through holes for the pipeline to pass through, and the casing has an accommodation cavity for placing the flange; a first shock absorption assembly for radial shock absorption of the flange; and a second shock absorption assembly which is installed in a one-to-one correspondence with the flange and is configured for axial shock absorption of the corresponding flange. The first shock absorption assembly and the second shock absorption assembly are installed in the accommodation cavity.

Abstract: A method and a system for mental index prediction are provided. The method includes the following steps. A plurality of images of a subject person are obtained. A plurality of emotion tags of the subject person in the images are analyzed. A plurality of integrated emotion tags in a plurality of predetermined time periods are calculated according to the emotion tags respectively corresponding to the images. A plurality of preferred features are determined according to the integrated emotion tags. A mental index prediction model is established according to the preferred features to predict a mental index according to the emotional index prediction model.