Abstract: A method of training a machine learning algorithm comprises providing a set of input data, performing transforms on the input data to generate augmented data, to provide transformed base paths into machine learning algorithm encoders, segmenting the augmented data, calculating main base path outputs by applying a weighting to the segmented augmented data, calculating pruning masks from the input and augmented data to apply to the base paths of the machine learning algorithm encoders, the pruning masks having a binary value for each segment in the segmented augmented data, calculating sparse conditional path outputs by performing a computation on the segments of the segmented augmented data, and calculating a final output as a sum of the main base path outputs and the sparse conditional path outputs. A computer-implemented system for learning sparse features of a dataset is also disclosed.

Abstract: A memory unit with time domain edge delay accumulation for computing-in-memory applications is controlled by a first word line and a second word line. The memory unit includes at least one memory cell, at least one edge-delay cell multiplexor and at least one edge-delay cell. The at least one edge-delay cell includes a weight reader and a driver. The weight reader is configured to receive a weight and a multi-bit analog input voltage and generate a multi-bit voltage according to the weight and the multi-bit analog input voltage. The driver is connected to the weight reader and configured to receive an edge-input signal. The driver is configured to generate an edge-output signal having a delay time according to the edge-input signal and the multi-bit voltage. The delay time of the edge-output signal is positively correlated with the multi-bit analog input voltage multiplied by the weight.

Abstract: A member for an axial flux electric machine, in accordance with a non-limiting example, includes a support member having a first surface, a second surface opposite the first surface, an outer annular edge, and an inner annular edge that defines an opening having a center point. A plurality of members is mounted on one of the first surface and the second surface. Each of the plurality of members has a centerline that passes through the outer annular edge and the inner annular edge without passing through the center point creating a torque ripple reducing asymmetry in the member.

Abstract: A method for determining a consistency coefficient of a power-law cement grout includes: determining a water-cement ratio of the power-law cement grout; according to engineering practice requirements, determining a time required to determine the consistency coefficient of the power-law cement grout; and obtaining the consistency coefficient of the power-law cement grout. The method is accurate and reliable, requires less calculation, etc.; and has very high practical value and popularization value in environmental protection and ecological restoration.

Abstract: Provided is a display panel. The display panel includes a display substrate, a diffusion sheet, a transflective film, and a fingerprint identification circuit, wherein the diffusion sheet is provided with at least one through hole, and an orthographic projection of the at least one through hole onto the display substrate is within the orthographic projection of the fingerprint identification circuit onto the display substrate.

Abstract: A method for increasing the temperature-resiliency of a neural network, the method comprising loading a neural network model into a resistive nonvolatile in-memory-computing chip, training the deep neural network model using a progressive knowledge distillation algorithm as a function of a teacher model, the algorithm comprising injecting, using a clean model as the teacher model, low-temperature noise values into a student model and changing, now using the student model as the teacher model, the low-temperature noises to high-temperature noises, and training the deep neural network model using a batch normalization adaptation algorithm, wherein the batch normalization adaptation algorithm includes training a plurality of batch normalization parameters with respect to a plurality of thermal variations.

Abstract: The present invention provides a novel coronavirus duplex detection kit. Specifically, the present invention discloses a kit and method for multiplex detection of novel coronavirus 2019-nCoV nucleic acid, which can simultaneously detect two nucleic acid targets of the novel coronavirus 2019-nCoV and possess extremely high sensitivity and specificity, and significantly improve the accuracy of virus identification.

Abstract: A real-time fluorescence RT-PCR detection method and a kit for a novel coronavirus 2019-nCoV. Specifically, the present invention relates to a kit and a method for detecting the nucleic acid of an E gene of the novel coronavirus 2019-nCoV. The kit and the method have extremely high sensitivity and specificity, and can significantly improve the accuracy of virus identification.

Abstract: A method of preparing self-adhesive polyester elastomer composite membrane includes the following steps: mix methyl formate or ethyl acetate with thermoplastic polyester elastomer (TPEE) powder or granules; add a modifier, a photo initiator or a thermal initiator; continue mixing to prepare uniformed mixture; after drying uniformed mixture prepare a polyester elastomer membrane through an injection laminating process and apply pressure sensitive adhesive on one side of the polyester elastomer membrane. Prepared membrane poses good bonding characteristics to textile materials and can be used in production of clothing.

Abstract: Provided is a nucleic acid detection kit for novel coronavirus 2019-nCoV, and in particular, provided are a kit and a method for multiple detection of the nucleic acid of the novel coronavirus 2019-nCoV. Three nucleic acid targets of the novel coronavirus 2019-nCoV can be detected at the same time. False positives can be prevented by means of mutual authentication among different targets, and detection omissions, which may be caused by mutations, are confirmed, such that the accuracy of virus identification is significantly improved.

Abstract: A method of preparing polyester elastomer meltblown nonwoven fabric membrane with porous and high bonding strength includes the following steps of: (a) Adding a reaction solvent to a reaction solvent to thermoplastic polyester elastomer (TPEE) powder or granules to prepare a solvent mixture. (b) Adding a modifier to the solvent mixture, and mixing uniformly to prepare a first mixture, the modifier includes at least one of o-xylylenediamine, m-xylylenediamine, alpha, alpha?-diamino-p-xylene, 2,3,5,6-Tetrachloro-p-xylene-alpha,alpha?-diamine, and 1,3,5,7-Tetraazatricyclodecane. (c) Adding an initiator to the first mixture, and mixing uniformly to prepare a second mixture. (d) Drying the second mixture to form a masterbatch, and (e) preparing the polyester elastomer meltblown nonwoven fabric membrane by passing the masterbatch through a meltblown process.

Abstract: A method of preparing thermoplastic polyester elastomer membrane with high binding strength includes the following steps: (a) Adding a reaction solvent to TPEE powder or granules to prepare a solvent mixture. (b) Adding a modifier to the solvent mixture, and mixing uniformly to prepare a first mixture, the modifier including at least one of o-xylylenediamine, m-xylylenediamine, alpha,alpha?-diamino-p-xylene, 2,3,5,6-Tetrachloro-p-xylene-alpha,alpha?-diamine, and 1,3,5,7-Tetraazatricyclodecane. (c) Adding an initiator to the first mixture, and mixing uniformly to prepare a second mixture. (d) Obtaining a finished product by passing the second mixture through an injection laminating process.

Abstract: A deep learning method employs a neural network having three sub-nets to classify and retrieve the most similar 3D model of an object, given a rough 3D model or scanned images. The most similar 3D model is present in a database and can be retrieved to use directly or as a reference to redesign the 3D model. The three sub-nets of the neural network include one dealing with object images and the other two dealing with voxel representations. Majority vote is used instead of view pooling to classify the object. A feature map and a list of top N most similar well-designed 3D models are also provided.

Abstract: The present invention provides a novel coronavirus duplex detection kit. Specifically, the present invention discloses a kit and method for multiplex detection of novel coronavirus 2019-nCoV nucleic acid, which can simultaneously detect two nucleic acid targets of the novel coronavirus 2019-nCoV and possess extremely high sensitivity and specificity, and significantly improve the accuracy of virus identification.

Abstract: A method of preparing polyester elastomer meltblown nonwoven fabric membrane with porous and high bonding strength includes the following steps of: (a) Adding a reaction solvent to a reaction solvent to thermoplastic polyester elastomer (TPEE) powder or granules to prepare a solvent mixture. (b) Adding a modifier to the solvent mixture, and mixing uniformly to prepare a first mixture, the modifier includes at least one of o-xylylenediamine, m-xylylenediamine, alpha, alpha?-diamino-p-xylene, 2,3,5,6-Tetrachloro-p-xylene-alpha,alpha?-diamine, and 1,3,5,7-Tetraazatricyclodecane. (c) Adding an initiator to the first mixture, and mixing uniformly to prepare a second mixture. (d) Drying the second mixture to form a masterbatch, and (e) preparing the polyester elastomer meltblown nonwoven fabric membrane by passing the masterbatch through a meltblown process.

Abstract: A method of preparing thermoplastic polyester elastomer membrane with high binding strength includes the following steps: (a) Adding a reaction solvent to TPEE powder or granules to prepare a solvent mixture, (b) Adding a modifier to the solvent mixture, and mixing uniformly to prepare a first mixture, the modifier including at least one of o-xylylenediamine, m-xylylenediamine, alpha,alpha?-diamino-p-xylene, 2,3,5,6-Tetrachloro-p-xylene-alpha,alpha?-diamine, and 1,3,5,7-Tetraazatricyclodecane. (c) Adding an initiator to the first mixture, and mixing uniformly to prepare a second mixture, (d) Obtaining a finished product by passing the second mixture through an injection laminating process.

Abstract: A method of preparing self-adhesive polyester elastomer composite membrane includes the following steps. Adding methyl formate or ethyl acetate to thermoplastic polyester elastomer (TPEE) powder or granules and mix well. Adding a modifier and adding a photo initiator or a thermal initiator, and then mixing uniformly to prepare a mixture. Drying the mixture to prepare a polyester elastomer membrane through an injection laminating process. Preparing pressure sensitive adhesive. Pasting the pressure sensitive adhesive on one side of the polyester elastomer membrane.

Abstract: A method of preparing a thermoplastic polyurethane membrane with high adhesion and high elasticity includes the following steps: (a) preparing a modifying solution, wherein the modifying solution is one or a mixture of at least two of diethylenetriamine, diethylaminopropylamine, and diaminodiphenylmethane; (b) preparing a semi-finished product by applying the modifying solution on at least one surface of a thermoplastic polyurethane membrane; and (c) subjecting the semi-finished product to a temperature of 50° C.˜180° C. in order for the semi-finished product to undergo a reaction and thus form the thermoplastic polyurethane membrane with high adhesion and high elasticity.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a light table, a camera, and a processor. The light table is to hold an object. The camera is to capture images. The light table is positioned within a field of view of the camera. The processor is communicatively coupled to the camera to receive the images. The processor is to analyze the images to calculate an imaged transmission percentage at a plurality of different locations of the object based on a correlation function of the camera used to determine an amount of print agents to be dispense by a three dimensional printer to print the object.

Abstract: A cutter, such as a tubing cutter or a swing cutter. The cutter may include a cutting wheel; a roller; a housing assembly including a first housing portion supporting the cutting wheel and a second housing portion supporting the roller; a shaft connecting the housing portions, rotation of the shaft causing relative movement of the housing portions along a shaft axis; and a knob connected to the shaft and engageable by a user to rotate the shaft, the knob having, in a plane perpendicular to the shaft axis, a non-symmetrical shape defined by opposite circular sector portions and opposite lever portions, each lever portion being engageable by a user to apply a force to the knob in a direction of rotation. The cutter may include a shaft with a radial shoulder preventing movement of the shaft from the cavity through an opening in the housing portion.