Abstract: Exemplary methods of forming semiconductor structures may include forming a silicon oxide layer from a silicon-containing precursor and an oxygen-containing precursor. The methods may include forming a silicon nitride layer from a silicon-containing precursor, a nitrogen-containing precursor, and an oxygen-containing precursor. The silicon nitride layer may be characterized by an oxygen concentration greater than or about 5 at. %. The methods may also include repeating the forming a silicon oxide layer and the forming a silicon nitride layer to produce a stack of alternating layers of silicon oxide and silicon nitride.

Abstract: Disclosed are a drying device and an integrated washer-dryer. The drying device includes a circulating module assembly, communicated with a drum of the integrated washer-dryer and configured to enable moist air from the drum to form a circulating airflow by rotating and output it to a dehumidifying module assembly; the dehumidifying module assembly, communicated with the circulating module assembly and the drum and configured to dehumidify and dry the circulating airflow by circulating movement and output the dried circulating airflow to the drum; a regenerating module assembly, communicated with the dehumidifying module assembly and configured to output a dry regeneration airflow to the dehumidifying module assembly to dehumidify and dry part of the dehumidifying module assembly so as to restore a dehumidifying capacity of the dehumidifying module assembly, the circulating module assembly, the dehumidifying module assembly and the regenerating module assembly are disposed substantially in one plane.

Abstract: A 3D printed physical information storage unit includes a grayscale digital light processing (g-DLP) 3D printed monolithic component formed from a resin containing a donor moiety, an acceptor moiety, a rigid moiety, a photoinitiator, and a photoabsorber. The g-DLP 3D printed monolithic component has a first portion with a first Young's modulus and a second portion with a second Young's modulus that is different than the first Young's modulus such that the g-DLP 3D printed monolithic component subjected to a predefined strain exhibits a strain field that provides a machine readable optical image.

Abstract: Provided is a laundry treating device.

Abstract: Disclosed is an integrated washer-dryer, including: a drum and a drying module assembly, the drying module assembly includes a moisture-absorbing and dehumidifying component, a moisture-absorbing passage, and a dehumidifying passage; the moisture-absorbing passage includes an air inlet and air outlet of the moisture-absorbing passage; the drum is communicated with the air inlet and air outlet of the moisture-absorbing passage, respectively; a fan for the moisture-absorbing passage is arranged in the moisture-absorbing passage, so as to form a moisture-absorbing airflow in the drum and in the moisture-absorbing passage; a fan for the dehumidifying passage is arranged in the dehumidifying passage, so as to form a dehumidifying airflow in the dehumidifying passage; and the moisture-absorbing and dehumidifying component is disposed in a path of the moisture-absorbing passage and the dehumidifying passage, such that the moisture-absorbing airflow and the dehumidifying airflow both flow through the moisture-absorbi

Abstract: Laundry machines and methods for operating the same are disclosed. A laundry machine includes a container for containing laundry and a dehumidifier including a circulation fan for generating moist air flowing out of the container toward a moisture absorption and removal structure for absorbing moisture in the moist air, a regeneration fan for generating airflow including the moisture absorbed by the moisture absorption and removal structure to flow toward a condenser for condensing water from the generated airflow. The moisture absorption and removal structure is disposed adjacent to the circulation fan, the regeneration fan, and the condenser; wherein the moisture absorption and removal structure comprises a roller assembly, a functional roller is provided on at least one of a bottom portion of the roller assembly or a side of the roller assembly.

Abstract: An end cover assembly includes: an end cover provided with an electrode lead-out hole; an electrode terminal including a terminal plate located on a side of the end cover and covering the electrode lead-out hole, with an outer peripheral surface protruding from an inner wall of the electrode lead-out hole; a sealing member at least partially disposed between the electrode terminal and the end cover; a fixing member configured to be connected to the end cover and surround the terminal plate so as to fix the electrode terminal onto the end cover, and including a flange extending in a direction approaching an axis of the electrode lead-out hole and located on a side of the terminal plate farther away from the end cover; and a heat-resistant part, at least a portion thereof is located between the flange and the electrode terminal in an axial direction of the electrode lead-out hole.

Abstract: An IGCC fuel component analysis and calorific value measurement system, the fuel components can be effectively measured by an infrared instrument and a chromatographic instrument; the multiplex redundant measurement is combined, two syngas is sampled by two sampling devices, two groups of measuring instruments are arranged, the multi-channel calculation of calorific value improves the reliability of calorific value control, and the measurement and process problems are effectively found by calorific value comparison, guaranteeing the effective output of calculated values in the fault state of the instrument, improving the calculation accuracy of calorific value, accurately analyzing the fuel components and calculating the fuel calorific value, and ensuring the stability of the calorific value regulation system and the stable operation of gas turbine; the multi-directional, diversified and multi-security instrument and the introduction of comparison between measured and calculated calorific values can effective

Abstract: Example aspects of the present disclosure provide a novel, resource-efficient approach for learning image representation with federated learning, which can be referred to as federated sampled SoftMax. According to example aspects of the present disclosure, the federated learning clients sample a set of negative classes and optimize only the corresponding model parameters with respect to a sampled SoftMax objective that approximates the global full SoftMax objective. This approach significantly reduces the number of parameters transferred to and optimized by the client devices, while performing on par with the standard full SoftMax method. This creates a possibility for efficiently learning image representations on decentralized data with a large number of classes in a privacy preserving way.

Abstract: The present invention discloses an online neuron spike sorting method based on neuromorphic computing, which converts neuron spike signals collected from the cerebral cortex into spike signals through field coding, classifies different waveforms and corresponding time stamps by means of spiking neural networks, and realizes online neuron spike sorting; at the same time, the online update method of spiking neural network is used to adapt to the online changes of neuronal spike waveform and improve the accuracy of long-term online neuronal spike sorting. This method has fast computational speed, which can improve the speed of spike sorting process, maintain high consistency in classification on different datasets, and facilitate the deployment of implanted chips.

Abstract: The present invention discloses an online neuron spike sorting method based on neuromorphic computing, which converts neuron spike signals collected from the cerebral cortex into spike signals through field coding, classifies different waveforms and corresponding time stamps by means of spiking neural networks, and realizes online neuron spike sorting; at the same time, the online update method of spiking neural network is used to adapt to the online changes of neuronal spike waveform and improve the accuracy of long-term online neuronal spike sorting. This method has fast computational speed, which can improve the speed of spike sorting process, maintain high consistency in classification on different datasets, and facilitate the deployment of implanted chips.

Abstract: A tensegrity offshore wind power generation support structure is provided, relating to the technical field of offshore wind power. The support structure includes inclined columns, prestressed cables, a rigid support, a floating foundation and anchoring systems. A stable self-balancing space supporting structure is formed by the inclined columns and the cables; the inclined columns inclines outwards, upper parts of the inclined columns are connected with the prestressed cables; the bottom ends of the inclined columns are connected with the floating foundation; the middle parts of the inclined columns are connected with the rigid support; and the floating foundation is fixed with a seabed through the anchoring systems. According to the support structure, a tower in the traditional design is not needed, and all the cables are ensured to be in a tension state through the support of the inclined columns.

Abstract: A sensor includes a grayscale digital light processing (g-DLP) 3D printed monolithic substrate with at least one microfluid channel. The monolithic substrate is formed from a resin configured to form a solid polymer using g-DLP 3D printing with a Young's modulus ranging from 0.1 MPa to 100 MPa. The resin includes a donor moiety, an acceptor moiety different than the donor moiety, a rigid moiety, a photoinitiator, and a photoabsorber. The donor moiety is in the form of an acrylate monomer with a side group, the acceptor moiety is in the form of an acrylate monomer with a side group, and the rigid moiety is in the form of an acrylate monomer with a side group. Also, the sensor can include a sensor fluid disposed within the at least one microfluid channel.

Abstract: The embodiments are directed towards providing personalized federated learning (PFL) models via sharable federated basis models. A model architecture and learning algorithm for PFL models is disclosed. The embodiments learn a set of basis models, which can be combined layer by layer to form a personalized model for each client using specifically learned combination coefficients. The set of basis models are shared with each client of a set of the clients. Thus, the set of basis models is common to each client of the set of clients. However, each client may generate a unique PFL based on their specifically learned combination coefficients. The unique combination of coefficients for each client may be encoded in a separate personalized vector for each of the clients.

Abstract: A resin for adhesive bonding to fabrics includes between about 80 wt. % and about 90 wt. % of a monomer, between about 10 wt. % and about 20 wt. % of a cross-linking agent with two or more acrylic acid groups separated by a flexible linker, between about 0.5 wt. % and about 1.5 wt. % of a photoinitiator, and between about 10 wt. % and about 15 wt. % of a thickening agent. The monomer as a melting point less than 25° C. and the flexible linker has subunits such as methylene glycol, ethylene glycol, propylene glycol, butylene glycol, and combinations thereof. Also, the resin forms a bond with polyurethane coated nylon fabric and the bond exhibits an adhesion strength greater than a tensile strength of the polyurethane coated nylon fabric.

Abstract: Various methods of reshaping and recycling thermoset polymers and composites containing thermoset polymers are provided. The methods involve the bond exchange reaction of exchangeable covalent bonds in the polymer matrix with a suitable small molecule solvent in the presence of a catalyst. In some aspects, the methods are applied to a carbon fiber reinforced polymer or a thermoset polymer where the thermoset polymer matrix includes a plurality of ester bonds. Using a small molecule alcohol, the methods provide for recycling one or both of the carbon fiber and the polymer, for welding two surfaces, or for repairing a damaged surface in the materials.

Abstract: A resin for grayscale digital light processing 3D printing includes a donor moiety, an acceptor moiety, a rigid moiety, a photoinitiator, and a photoabsorber. The donor moiety is an acrylate monomer with a side group of a free carbonyl, a primary amine on an acrylate, a secondary amine on an acrylate, and/or a tertiary amine on an acrylate. The acceptor moiety is different than the donor moiety and is an acrylate monomer with a side group of a free hydroxy, a primary amine, secondary amine, and/or an imine. And the rigid moiety is acrylate monomer with a side group of a cyclohexyl, a substituted cyclohexyl, or a bicyclic structure. A monolithic structure formed from the resin using grayscale digital light processing 3D printing can have a Young's modulus ranging from 0.1 MPa to 100 MPa.

Abstract: The disclosure discloses an integrated automatic sea cucumber cooking and soaking system, which belongs to the technical field of sea cucumber processing.

Abstract: Various methods of reshaping and recycling thermoset polymers and composites containing thermoset polymers are provided. The methods involve the bond exchange reaction of exchangeable covalent bonds in the polymer matrix with a suitable small molecule solvent in the presence of a catalyst. In some aspects, the methods are applied to a carbon fiber reinforced polymer or a thermoset polymer where the thermoset polymer matrix includes a plurality of ester bonds. Using a small molecule alcohol, the methods provide for recycling one or both of the carbon fiber and the polymer, for welding two surfaces, or for repairing a damaged surface in the materials.

Abstract: Disclosed magnetic shape-memory compositions that comprise a polymer matrix and a population of hard-magnetic particles dispersed within the polymer matrix. In some embodiments, the magnetic shape-memory compositions can further comprise a population of auxiliary magnetic particles (e.g., ferrite particles) dispersed within the polymer matrix. The compositions can exhibit 1) reversible, fast, and controllable transforming deformation, 2) shape-locking, and 3) reprogramming capabilities.