Abstract: A method includes forming a structure having a dummy gate stack over a multi-layer stack (ML) disposed on a semiconductor substrate, the ML including alternating channel layers and non-channel layers; recessing the ML in source/drain (S/D) regions; removing the non-channel layers to form first openings between the channel layers; depositing a dielectric material in the first openings; recessing the dielectric material to form undercuts; forming inner spacers in the undercuts; forming epitaxial S/D features in the S/D regions; removing the dummy gate stack to form a gate trench; removing the dielectric material from the gate trench to form second openings between the channel layers; and forming a metal gate stack in the gate trench and the second openings.

Abstract: An apparatus for wireless communication includes a receiver configured to receive a request for data associated with an Internet-of-things (IoT) service session with an IoT cloud server. The apparatus further includes a transmitter configured to transmit, based on receiving the request and prior to transmitting a response to the request, a message indicating a timing parameter associated with availability of the data. The receiver is further configured to receive an uplink grant at a time that is based on the timing parameter, and the transmitter is further configured to transmit the response to the request based on the uplink grant. The response includes at least a subset of the data.

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: Storage processes are described. For instance, dumping of cache data in a memory table at a source directory table partition in a source container group is stopped in response to receiving a close signal. A notification for creating a target directory table partition is sent to a target container group, the notification including a checkpoint at the source directory table partition. The cache data in the memory table is sent to the target container group, and the source container group is closed in response to a determination that an ownership of the target directory table partition is updated to the target container group. A rescheduling and/or upgrading solution is thus proposed for a source container group, so that the source container group is still in a service state during the rescheduling and/or upgrading solution, which improves the performance of storage services and reduces the data unavailable time.

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: A GNSS emergency monitoring error suppression method for an alpine canyon complex environment is provided. Through three steps of GNSS optimization design of the alpine canyon complex environment, derived error suppression of emergency monitoring criteria in the alpine canyon complex environment, and error suppression measurement and result correction, GNSS measurement errors in the alpine canyons can be effectively suppressed. Through improving measurement accuracy, GNSS technology can be widely applied to the alpine canyons, outstanding advantages of high efficiency and high accuracy in a coordinate transmission process of the GNSS technology are brought into full play, and a cost is effectively reduced. Meanwhile, by processing the errors of the emergency monitoring criteria, it is possible to protect workers from on-site operation risks.

Abstract: Data reads and related data reading processes are described. An example data read method includes: receiving a data read request, the data read request being aimed at target node data stored in a target node of a B+ tree; acquiring node location information, the node location information indicating a storage location of node data in a node data set of the B+ tree, and the node data set including the target node data; and determining a target storage location of the target node data. Beneficially, data stored in the B+ tree can be read and updated efficiently while reducing computing overhead.

Abstract: Data processing is disclosed in various aspects. For instance, an example method includes acquiring a plurality of objects with a sortable schema, the sortable schema specifying at least one field of the plurality of objects; determining metadata, sortable data, and non-sortable data of the plurality of objects on the basis of a value of the at least one field of the plurality of objects; and generating a serialized representation of the plurality of objects on the basis of the metadata, the sortable data, and the non-sortable data. By the method, one group of objects is converted into a serialized representation with sortable information, so that efficient object searching can be achieved without relying on an additional comparator.

Abstract: A method is provided for quantizing a neural network model performed by a processing system. The method comprises determining a scaling factor based on a distribution of weights associated with the neural network model, determining quantized weights based on the scaling factor and the weights associated with the distribution, determining a training loss of the neural network model based on the quantized weights during training of the neural network model, and determining an updated scaling factor for the neural network model based on a gradient of the training loss.

Abstract: An analyzer and a method for reading a test result of a test apparatus are provided. The analyzer includes an analyzer (1) housing, and a drive system, a photoelectric system, a data processing system and a result output system disposed in the analyzer (1) housing. The test apparatus is carried by an objective stage (10) of the drive system to get in and out of the analyzer (1) to read the test result. The analyzer (1) compact in size and stable in operation is applicable to testing of various biochemical indicators and can improve the efficiency of medical testing.

Abstract: A method for preparing isophorone diisocyanate by (1) reacting isophorone with hydrogen cyanide in the presence of a catalyst to obtain isophorone nitrile; (2) reacting the isophorone nitrile obtained in step (1) with ammonia gas and hydrogen in the presence of a catalyst to obtain isophorone diamine; and (3) subjecting the isophorone diamine to a phosgenation reaction to obtain the isophorone diisocyanate, wherein the content of impurities containing a secondary amine group in the isophorone diamine that undergoes the phosgenation reaction in step (3) is ?0.5 wt. The method reduces the content of hydrolyzed chlorine in the isophorone diisocyanate product, improves the yellowing resistance of the product, and the harm due to presence of hydrolyzed chlorine in the product is reduced.

Abstract: The embodiments of the disclosure are applicable to the technical field of blockchain and provide a consensus trusted cluster changing method, a computer device and a computer-readable storage medium. The method is applicable to a blockchain and includes: determining a current epoch of a newly added validator node of the consensus trusted cluster in the blockchain and a target epoch of the consensus trusted cluster; requesting target status information and proof of target cluster change from a target validator node in the target epoch; verifying the target status information according to the proof of target cluster change; and updating, in case where the target status information has been verified, status information of the newly added validator node according to the target status information to complete change of the consensus trusted cluster. Through the above method, a trusted synchronization target status may be determined.

Abstract: Provided are a cathode catalyst layer and a preparation method and use thereof, and a fuel cell. The method includes: mixing a catalyst, water, and an alcohol with a pore-forming agent to obtain a mixture; dispersing the mixture into a Nafion solution to obtain a slurry; and coating the slurry onto a surface of a diffusion layer to obtain a coated diffusion layer, and subjecting the coated diffusion layer to calcination and freeze-drying in sequence to obtain the cathode catalyst layer.

Abstract: Embodiments of this application include an image processing method and apparatus, a non-transitory computer-readable storage medium, and an electronic device. In the image processing method a to-be-predicted medical image is input into a multi-task deep convolutional neural network model. The multi-task deep convolutional neural network model includes an image input layer, a shared layer, and n parallel task output layers. One or more lesion property prediction results of the to-be-predicted medical image is output through one or more of the n task output layers. The multi-task deep convolutional neural network model is trained with n types of medical image training sets, n being a positive integer that is greater than or equal to 2.

Abstract: The present disclosure relates to a system and process for separating sand and gravel in sediments of a sewage pipe network and recycling organic matters. The system includes a conveying grid plate, a mud outlet is provided below the conveying grid plate, and a masonry conveying area is provided at one side of the conveying grid plate; a fiber crushing tank, disposed below the mud outlet, and a crushing device is disposed below the mud outlet; a masonry scouring and recycling tank, provided with an interception grille located at one side of the masonry conveying area, a flushing device is disposed above the interception grille, a masonry outlet is provided in the masonry scouring and recycling tank, the masonry scouring and recycling tank is communicated with a muddy water return pipe, and the muddy water return pipe is communicated with the mud outlet.

Abstract: The disclosure belongs to the field of sewage treatment technology, in particular to a low-carbon nitrogen and phosphorus removal system and process for sewage treatment. The system of the disclosure includes a primary sedimentation fermentation tank, a mainstream modified A2O unit and a bypass anammox unit. The disclosure sets a denitrification phosphorus removal functional zone in the anoxic tank of the A2O system, and sets a deoxygenation zone in the aerobic tank. Combined with the primary sedimentation fermentation tank, the efficient utilization of the carbon source of the A2O process is strengthened. The system has good effluent quality and does not require the addition of a carbon source, and the aeration energy consumption is low, which achieves efficient and low-carbon nitrogen and phosphorus removal.

Abstract: The disclosure belongs to the field of sewage treatment technology, in particular to a low-carbon nitrogen and phosphorus removal system and process for sewage treatment. The system of the disclosure includes a primary sedimentation fermentation tank, a mainstream modified A2O unit and a bypass anammox unit. The disclosure sets a denitrification phosphorus removal functional zone in the anoxic tank of the A2O system, and sets a deoxygenation zone in the aerobic tank. Combined with the primary sedimentation fermentation tank, the efficient utilization of the carbon source of the A2O process is strengthened. The system has good effluent quality and does not require the addition of a carbon source, and the aeration energy consumption is low, which achieves efficient and low-carbon nitrogen and phosphorus removal.

Abstract: The present disclosure relates to a system and process for separating sand and gravel in sediments of a sewage pipe network and recycling organic matters. The system includes a conveying grid plate, a mud outlet is provided below the conveying grid plate, and a masonry conveying area is provided at one side of the conveying grid plate; a fiber crushing tank, disposed below the mud outlet, and a crushing device is disposed below the mud outlet; a masonry scouring and recycling tank, provided with an interception grille located at one side of the masonry conveying area, a flushing device is disposed above the interception grille, a masonry outlet is provided in the masonry scouring and recycling tank, the masonry scouring and recycling tank is communicated with a muddy water return pipe, and the muddy water return pipe is communicated with the mud outlet.

Abstract: A two-piece coupling walking beam is foldable and separable for sucker rod pumping system shipment, storage, installation, or servicing. It provides a two-piece coupling walking beam using connection plates—a pin plate, a fastening plate, and/or strengthening plate(s) for sucker rod pumping systems. A foldable walking beam with a two-piece coupling beam has a connection joint by which the portion with a horsehead located in the front end of the beam for sucker rod pumping systems wherein the walking beam can be folded either transversely (horizontally or sideways) or longitudinally (vertically) to the other portion of the beam without a horsehead to provide working space for system maintenance, installation/reinstallation, or servicing.

Abstract: A chassis housing one or more Information Handling Systems (IHSs) includes a bay for coupling hardware components to the chassis, such as rear-facing bay that extends from the chassis midplane to an externally accessible opening. A first hardware component is fastened to a removeable carrier and the carrier is inserted in the bay, with the first hardware component coupling to the midplane. The carrier includes arms that extend to the externally accessible opening. Each arm includes a retractable handle that is used, when in an extended position, to extract the carrier from the bay. A second, removeable hardware component is inserted in the bay, with the second hardware components nested between the arms of the carrier. The carrier handles rotate to a concealed position when the second hardware component is nested in the carrier and the handles rotate to the extended position when the second hardware component is removed.