Abstract: A U-shaped e-cigarette peristaltic pump includes: a carrier; a drive assembly; a transmission assembly; and a peristaltic assembly. The drive assembly is arranged on the carrier. The peristaltic assembly and the drive assembly are arranged side by side on a same side of the carrier. A first accommodating space is provided between the drive assembly and the carrier. A second accommodating space is provided between the peristaltic assembly and the carrier. The transmission assembly is respectively in the first accommodating space and the second accommodating space. The drive assembly is connected to the peristaltic assembly through the transmission assembly.

Abstract: A large-volume vapor chamber includes: a body provided with an accommodation cavity formed by two main cavity walls arranged oppositely; and connecting columns disposed on the body, where each of the connecting columns includes a column section and two bearing sections, the two bearing sections are connected to both ends of the column section respectively, the column section and the bearing sections are positioned between the two main cavity walls, the two bearing sections abut against the two main cavity walls respectively, and a cross-sectional area of the column section perpendicular to a central axis of the respective connecting column is less than a cross-sectional area of each of the bearing sections perpendicular to the central axis of the respective connecting column.

Abstract: The present disclosure provides a styrene acrylate-siloxane composite emulsion with a core-shell structure, and a preparation method and use thereof, and relates to the technical field of protective coatings. In the present disclosure, a core emulsion is prepared through two-step emulsification with styrene, an acrylate monomer, a first emulsifying agent, a first initiator, a second initiator, an alkaline reagent, and water as raw materials; then a shell emulsion is prepared with a siloxane monomer, a hydroxyl-containing acrylate monomer, an emulsifying agent, and water as raw materials; and then the core emulsion, the shell emulsion, and an initiator are subjected to a grafting reaction to obtain the styrene acrylate-siloxane composite emulsion with a core-shell structure.

Abstract: The present invention provides an optical device and a method of fabricating the same. A first dielectric layer is formed on a substrate structure and then patterned and partially removed, forming openings therein, which define at least one first dielectric sub-layer in the first dielectric layer. The first dielectric sub-layer is rounded into a microlens. In this way, the microlens can be fabricated in a chip fabrication plant, without needing to deliver an associated chip to a dedicated microlens fabrication plant, thereby improving production efficiency and shortening the manufacturing cycle. The microlens can be fabricated in the optical device using a semiconductor process and thus exhibits increased density and uniformity, resulting in higher optical efficiency.

Abstract: A three-dimensional thermal-conductive vapor chamber includes: a thermal-conductive plate, a fin plate and a thermal connection structure. The fin plate is connected to the thermal-conductive plate and has thermal conductivity. A cross-section of the thermal-conductive plate and a cross-section of the fin plate are two different planes that intersect with each other. The thermal connection structure is disposed between the thermal-conductive plate and the fin plate, and the fin plate is connected to the thermal-conductive plate through the thermal connection structure. The thermal connection structure connects interiors of the thermal-conductive plate and the fin plate to form an interconnected heat transfer path between the thermal-conductive plate and the fin plate.

Abstract: A segmented heating temperature control method and apparatus for an electronic vaping set, and an electronic device. The method comprises: acquiring vaping set parameter information, and dividing into at least two e-cigarette heating segments on the basis of the vaping set parameter information (S101); determining an initial heating temperature of a vaping set, and constructing a neural convolutional network model according to the initial heating temperature of the vaping set, so as to calculate a first temperature change curve of each e-cigarette heating segment under a preset suction condition (S102); and on the basis of the first temperature change curve, separately adjusting the initial heating temperature corresponding to each e-cigarette heating segment to obtain each adjusted heating temperature, so that the temperature range of a second temperature change curve corresponding to each adjusted heating temperature is within a preset range (S103).

Abstract: A method for preparing a styrene-acrylate siloxane interpenetrating polymer network (IPN) composite emulsion is provided. The styrene-acrylate siloxane IPN composite emulsion prepared by the method can effectively improve the compatibility of the styrene-acrylate component and the siloxane component, and realize the gradient orientation distribution and ordered microphase separation of various styrene-acrylate molecules and siloxane molecules, thereby improving the synergistic working performance of a styrene-acrylate coating and a siloxane coating, and endowing the composite protective emulsion with excellent rheological properties, waterproof properties, anti-ion penetration properties, anti-carbonization properties, acid and alkali corrosion resistance, and anti-aging properties.

Abstract: A method for preparing a styrene-acrylate siloxane interpenetrating polymer network (IPN) composite emulsion is provided. The styrene-acrylate siloxane IPN composite emulsion prepared by the method can effectively improve the compatibility of the styrene-acrylate component and the siloxane component, and realize the gradient orientation distribution and ordered microphase separation of various styrene-acrylate molecules and siloxane molecules, thereby improving the synergistic working performance of a styrene-acrylate coating and a siloxane coating, and endowing the composite protective emulsion with excellent rheological properties, waterproof properties, anti-ion penetration properties, anti-carbonization properties, acid and alkali corrosion resistance, and anti-aging properties.

Abstract: An appliance heating control method and apparatus for user customizable vaping. The method comprises: acquiring appliance environment information and cigarette parameter information, and selecting, from a cigarette heating temperature curve library corresponding to the cigarette parameter information, an initial heating temperature curve that matches the appliance environment information; generating parameter adjustment guidance information on the basis of the initial heating temperature curve, and displaying the initial heating temperature curve and the parameter adjustment guidance information; and receiving a parameter adjustment instruction, adjusting the initial heating temperature curve on the basis of the parameter adjustment instruction, so as to obtain an adjusted heating temperature curve, and controlling, according to the adjusted heating temperature curve, an appliance to perform heating.

Abstract: A temperature control method and apparatus for a magnetic heat-emitting body, and an electronic device. The temperature control method comprises: acquiring parameter information of at least one heat-emitting body in a cigarette to be smoked; calculating a first intensity of a magnetic field that corresponds to a Curie temperature, and controlling a first intensity of current, which passes through a coil inside a smoking set, such that the intensity of a magnetic field that is generated by the coil is constant at the first intensity of the magnetic field; and receiving a temperature adjustment instruction, determining a required temperature corresponding to the temperature adjustment instruction, calculating a second intensity of current on the basis of the required temperature and a resistance temperature coefficient, and controlling the intensity of current, which passes through the heat-emitting body, to be the second intensity of current.

Abstract: The present disclosure relates to the technical field of protective coatings, and provides a graphene oxide (GO)-modified styrene-acrylic Pickering emulsion and a composite emulsion, and preparation methods and use. In the present disclosure, GO is added during polymerization of a styrene-acrylic monomer, and the GO is attached to an interface of a styrene-acrylic core while forming the styrene-acrylic core; and the GO is “stitched” at the interface of the styrene-acrylic core by a silane coupling agent, thus giving the GO a better dispersion effect. After adding a shell phase emulsion, a part of the styrene-acrylic core that is not completely wrapped by a GO sheet may be grafted with a shell phase, and cross-linking between a core phase and the shell phase can further enhance a steric stability of the GO; and the GO can fully connect the styrene-acrylic core with a siloxane shell, improving the molecular configuration of a siloxane component.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: The present disclosure provides a styrene acrylate-siloxane composite emulsion with a core-shell structure, and a preparation method and use thereof, and relates to the technical field of protective coatings. In the present disclosure, a core emulsion is prepared through two-step emulsification with styrene, an acrylate monomer, a first emulsifying agent, a first initiator, a second initiator, an alkaline reagent, and water as raw materials; then a shell emulsion is prepared with a siloxane monomer, a hydroxyl-containing acrylate monomer, an emulsifying agent, and water as raw materials; and then the core emulsion, the shell emulsion, and an initiator are subjected to a grafting reaction to obtain the styrene acrylate-siloxane composite emulsion with a core-shell structure.

Abstract: A U-shaped e-cigarette peristaltic pump includes: a carrier; a drive assembly; a transmission assembly; and a peristaltic assembly. The drive assembly is arranged on the carrier. The peristaltic assembly and the drive assembly are arranged side by side on a same side of the carrier. A first accommodating space is provided between the drive assembly and the carrier. A second accommodating space is provided between the peristaltic assembly and the carrier. The transmission assembly is respectively in the first accommodating space and the second accommodating space. The drive assembly is connected to the peristaltic assembly through the transmission assembly.

Abstract: An apparatus and method of feature extraction for identifying a pattern. An improved method includes obtaining data representative of a pattern instance, dividing the pattern instance into a plurality of zones, determining a representative characteristic of a zone of the plurality of zones, generating a representation of the pattern instance using a feature vector, wherein the feature vector includes an element corresponding to the representative characteristic, wherein the representative characteristic is indicative of a spatial distribution of one or more features of the zone. The method may also include classifying and/or selecting pattern instances based on the feature vector.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: A free-bending forming apparatus for a tubular component using differential temperatures and a method thereof are disclosed. The apparatus includes an isothermal heating device and a heating device for the differential temperatures. The isothermal heating device is configured to preheat an inside and an outside of a bending section of the tubular component to a predetermined temperature to form a preheated bending section before bending and forming. The heating device for the differential temperatures is configured to heat the inside and the outside of the preheated bending section of the tubular component respectively to different temperatures, and the temperature at the outside is higher than that at the inside. The heating device for the differential temperatures is provided between a pressing device and a guiding mechanism, and the isothermal heating device is provided between the pressing device and the heating device for the differential temperatures.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.