Abstract: A cutter, such as a tubing cutter or a swing cutter. The cutter includes 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. In a specific embodiment, the cutter includes a shaft with a radial shoulder preventing movement of the shaft from the cavity through an opening in the housing portion.

Abstract: A controller assembly for a vehicle includes a fixed module suitable for mounting on vehicles and having a primary extension plane extending in the longitudinal direction and transverse direction. The fixed module has a first connection structure and a second connection structure on the primary extension plane. The controller assembly further includes at least one functional module, with a carrier, an electronic component arranged on the carrier, and a wire harness connected to the electronic components. The wiring harness extends from one side of the carrier. The functional module has a mating structure on the carrier configured to be mated to the first connecting structure or the second connecting structure in a detachable manner. When the mating structure is mated to the first connecting structure, the side of the carrier is parallel to the longitudinal direction, and when the mating structure is mated to the second connecting structure, the side of the carrier is parallel to the transverse direction.

Abstract: Provided in the present disclosure are an image projection device, and a method for manufacturing the image projection device. The image projection device comprises: an illumination assembly for emitting a light beam; and a first optical component, which is used for allowing light emitted by the illumination assembly to pass through. The image projection device is characterized in further comprising: a first fastening member, which is arranged on the first optical component; a second optical component, which is used for allowing the light passing through the first optical component to pass through; and a second fastening member, which is arranged on the second optical component and adapted to be fastened to the first fastening member, so as to assemble the first optical component and the second optical component as a whole.

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 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 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 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 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.

Abstract: A method of recognizing an object includes comparing a three-dimensional point cloud of the object to a three-dimensional candidate from a dataset to determine a first confidence score, and comparing color metrics of a two-dimensional image of the object to a two-dimensional candidate from the dataset to determine a second confidence score. The point cloud includes a color appearance calibrated from a white balance image, and the color appearance of the object is compared with the three-dimensional candidate. The first or second confidence score is selected to determine which of the three-dimensional candidate or the two-dimensional candidate corresponds with the object.

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: A method of preparing an elastomer membrane with high water pressure resistance includes the following steps: preparing a dry material by subjecting first thermoplastic polyurethane (TPU) powder/particles to a drying treatment; preparing a first mixture by mixing the dry material thoroughly with one or a mixture of at least two of diethylenetriamine, diethylaminopropylamine, and diaminodiphenylmethane; preparing a second mixture by mixing an initiator thoroughly with the first mixture; preparing a first membrane layer from the second mixture; and preparing a second membrane layer and a third membrane layer through the above steps such that the second membrane layer and the third membrane layer are sequentially formed on the first membrane layer.