Abstract: Apparatuses, systems, and techniques to select a neural network architecture from a plurality of neural networks in a federated learning (FL) setting. In at least one embodiment, a neural network is trained by combining training results from different FL computing systems, where each of the different FL computing systems, for example, trains different portions of the neural network.

Abstract: Apparatuses, systems, and techniques estimate parameters to train one or more neural networks based on uniqueuss of training data. In at least one embodiment, a subset of training data is selected and used to estimate parameters to train one or more neural networks, based on, for example, uniqueness of training data.

Abstract: A battery pack includes a housing of a first material, a cell assembly, and a cell support of a second material. The cell assembly is disposed in the housing and includes a plurality of cell units. The cell unit includes a positive electrode of the cell unit and a negative electrode of the cell unit. The cell support is configured to support at least the cell assembly. The cell support is at least disposed at two ends of the cell assembly and at least part of the cell support encapsulates the positive electrode of the cell unit and the negative electrode of the cell unit. The first material is different from the second material.

Abstract: Electrically conductive masking tapes include an electrically conductive backing and an electrically conductive pressure sensitive adhesive layer. The pressure sensitive adhesive contains an acrylate-based copolymeric matrix, a crosslinker, an electrically conductive filler, and at least one antioxidant. The acrylate-based copolymeric matrix is the reaction product of a polymerizable mixture including at least one first alkyl(meth)acrylate monomer with a homopolymer Tg of less than ?50° C., and at least one hydroxyl-functional alkyl(meth)acrylate with a homopolymer Tg of less than ?10° C. The electrically conductive tape is capable of being laminated to and cleanly removed from a substrate surface, after being subjected to harsh conditions such as plasma vapor deposition conditions.

Abstract: The present disclosure relates to the technical field of solar cell preparation, and provides a solar cell, an AlOx depositing method therefor, and a cell back passivation structure and method. In the present disclosure, a silicon wafer which has been subjected to thermal oxidization and annealing is placed into a tubular PECVD equipment. The chamber is vacuumized to a pressure of 100-2000 mTorr and heated to a temperature of 300-400° C. Then nitrous oxide and TMA as reaction gases are introduced in to the chamber. The radio-frequency power supply is turned on and an AlOx passivation film having two-layer, three-layer, or more-layer film structure is prepared.

Abstract: In at least one embodiment, a reinforcement-learning-based searching approach is used to produce a training configuration for a machine-learning model. In at least one embodiment, 3D medical image segmentation is performed using learned image preprocessing parameters.

Abstract: A battery pack includes a housing, a plurality of battery cells, a terminal assembly having a positive terminal and a negative terminal, and a bus bar electrically connecting the plurality of battery cells to the terminal assembly. A resistance value of the bus bar at 25° C. is less than or equal to 0.18 m?, and a resistance drift rate of the bus bar is less than or equal to 0.5 ??/° C. A distance between a temperature detector to sense the temperature of the bus bar and the bus bar is less than or equal to 5 mm. A controller is coupled to the temperature detector and configured to determine a resistance of the bus bar based on the temperature of the bus bar, and calculate a current of the battery pack based on the voltage and the resistance of the bus bar.

Abstract: Provided are an anti-counterfeit coding element and a method for manufacturing the anti-counterfeit coding element.

Abstract: The present disclosure relates to an antibody, a payload and a linker molecule for targeting molecule-drug conjugate, and the corresponding conjugate, the preparation and use thereof.

Abstract: Disclosed are an anti-counterfeiting element and an anti-counterfeiting product.

Abstract: A training method and an enhancement method for a speech enhancement model, an apparatus, an electronic device, a storage medium, and a program product are described. A training method for the model may include: invoking the model based on a noisy speech feature of a speech signal, to obtain first predicted mask values in an auditory domain. A first amplitude and first phase of the noisy speech signal, and a second amplitude and second phase of a clean speech signal may then be obtained. A phase difference at each frequency point may be determined based on the phases. The second amplitude corresponding to each frequency point may be corrected based on the phase difference at each frequency point, to obtain a corrected second amplitude corresponding to each frequency point. A loss value is determined, and parameters of the speech enhancement model may be updated based on the loss value.

Abstract: A spray pipe assembly includes a pipe body including a mounting channel configured to mount a water pipe. The spray pipe assembly also includes a flushing device, removably mounted at a front end of the pipe body. The flushing device includes a device main body including a mounting cavity. The flushing device also includes a flushing nozzle configured to clean a human body. At least a portion of the flushing nozzle is disposed in the mounting cavity. The flushing nozzle includes at least one spray hole facing upwards. The flushing device also includes a flushing spray head configured to clean a toilet cavity and connected to the device main body. The flushing spray head includes a spray head facing downwards.

Abstract: A die-casting aluminum alloy without heat-treatment and a preparation method and application thereof. Based on a total weight of the die-casting aluminum alloy, the die-casting aluminum alloy includes: 6.0 to 8.0 wt % of Si; 0.3 to 1.2 wt % of Mg; 0.4 to 0.8 wt % of Cu; 0.1 to 0.3 wt % of Fe; 0.6 to 0.8 wt % of Mn; 0.05 to 0.20 wt % of Ti; 0.03 to 0.07 wt % of Sr; 0.03 to 0.07 wt % of Ce; 0.01 to 0.04 wt % of La; 0.01 to 0.1 wt % of Zr; less than or equal to 0.01 wt % of other impurity elements; and a balance of Al.

Abstract: The disclosure provides an optical anti-counterfeiting element, an optical anti-counterfeiting product and a manufacturing method. The optical anti-counterfeiting element includes: a substrate; a micro-structure forming layer, wherein the micro-structure forming layer is arranged on a side surface of the substrate, the micro-structure forming layer has micro-structures, and a longitudinal section of each of the micro-structures has a preset shape; and a coating layer, wherein the coating layer is arranged on the micro-structure forming layer, the micro-structures are coated with the coating layer to form a coated micro-structure, and a height of each of the coated micro-structures continuously changes; wherein when shapes of the micro-structures have an abrupt-change, the coating layer has a demetallized region, and when a height of each of the micro-structures changes continuously, the coating layer has no demetallized region.

Abstract: Apparatuses, systems, and techniques are presented to perform segmentation on images. In at least one embodiment, one or more neural networks are used to segment an image based, at least in part, on one or more visual modifications of the image.

Abstract: Apparatuses, systems, and techniques to train one or more neural networks based, at least in part on, medical imaging data and clinical metadata or inference using one or more neural networks trained as such. In at least one embodiment, one or more circuits to train one or more neural network to predict a treatment for a patient suspected to have or confirmed to have COVID-19 based, at least in part on, medical imaging data and clinical metadata.

Abstract: Apparatuses, systems, and techniques to train neural networks to perform classification. In at least one embodiment, one or more neural networks are trained to perform classification based on, for example, using one or more compressed representations of one or more class labels, where the one or more compressed representations have fewer bits than a representation of the one or more class labels.

Abstract: Disclosed is a Bayesian classification recognition system based on an industrial PaaS platform, comprising: an IaaS infrastructure service layer, a G-PaaS graph neural network processing layer, an O-PaaS docking service layer and an SaaS system application layer. The G-PaaS graph neural network processing layer is configured for point cloud feature generation, point cloud feature learning, point cloud structure estimation and point cloud model classification; and the recognition accuracy of a workpiece point cloud model is improved through the Bayesian classification recognition system based on the industrial PaaS platform.

Abstract: NKG2D-CD3 and NKG2D-CD16 cell adapter molecules are used in the removal of aging cells and the treatment of aging-cell-accumulation-related diseases. The cell adapter molecules has comprise an NKG2D extracellular domain, a connection segment, and a CD3 or CD16 binding domain. The death of aging cells having high expression of NKG2D ligand is efficiently induced by means of bridging aging cells and immune cells, and thus the cell adapter molecules can be used for removing aging cells expressing the NKG2D ligand and treating aging-related diseases.

Abstract: An NK cell adapter molecule targeting an NKG2D ligand and an NKp46 and the use thereof are provided. The cell adapter molecule at least comprises: a first binding domain comprising an NKG2D extracellular domain that can specifically bind to the NKG2D ligand; and a second binding domain comprising an NKp46 antigen-binding fragment. The cell adapter molecule can promote the killing effect of natural killer cells on target cells with high levels of expression of NKG2D ligand, and can thus be used as a therapeutic agent for diseases related to NKG2D ligand expression.