Abstract: A porous heating body includes a porous body having a first porous portion, a second porous portion and a third porous portion successively disposed in the porous body along a lengthwise direction of the porous body. A cross-sectional area of the first porous portion and a cross-sectional area of the third porous portion are both larger than a cross-sectional area of the second porous portion along a widthwise direction of the porous body. A heating element extends along the lengthwise direction of the porous body is disposed on the porous body. The heating element includes a heating portion. At least one portion of an extension length of the heating portion is overlapped with an extension length of the second porous portion. The porous body is shaped to enhance conductivity of liquid tobacco in a middle thereof, and storing liquid tobacco for replenishing at two bulge ends thereof.

Abstract: The present disclosure relates to a water pumping device for a water flosser, which includes a mounting base, a transmission assembly, a connecting member, and a piston. The transmission assembly includes a first transmission member. The connecting member is disposed in the mounting base in a reciprocally movable manner in a first direction. The first transmission member is rotatable about a first rotation axis perpendicular to the first direction, and in mating connection with the connecting member. The first transmission member is eccentrically disposed with respect to the first rotation axis. During a rotation of the first transmission member about the first rotation axis, the first transmission member reciprocates in the first direction, so as to drive the connecting member to reciprocate in the first direction. The reciprocation of the connecting member in the first direction can drive the piston to reciprocate in the first direction.

Abstract: The invention discloses a bifunctional additive for increasing low-carbon olefins and reducing slurry in cracking product, wherein the dry-basis components of said additive is as follows: 40˜55 wt % of phosphorus-containing MFI zeolite, 0˜10 wt % of large pore type Y and Beta zeolites, 3˜20 wt % of inorganic binder, 8˜22 wt % of inorganic matrix composed of alumina and amorphous silica-alumina and 15˜40 wt % of clay. The bifunctional additive is mainly used to facilitate production rate of cracked LPG and increase concentration of propylene in LPG and octane number of produced the gasoline, and at the same time reduce the yield of slurry in the cracking products. The invention also discloses its preparation method and application of said additive.

Abstract: The Invention discloses a method for improving the quality of oil products and increasing the yield of low-carbon olefins by catalytic cracking of bio-oil, which takes bio-oil or mixed oil of bio-oil and hydrocarbon oil as raw oil for catalytic cracking reaction. With this method, the octane number of the gasoline in product is obviously increased, simultaneously, the content of propylene and other low-carbon olefins in product is also improved.

Abstract: An asymmetric GPR84 antagonist and a use thereof, the GPR84 antagonist having a structure as shown in formula I. The compound represented by formula I has GPR84 antagonistic activity, can competitively inhibit GPR84 agonist-induced receptor activation, and can be used to treat various diseases associated with the high expression or hyperexcitability of GPR84, such as multiple sclerosis, inflammatory bowel disease, organ fibrosis, arthritis, etc.

Abstract: The present invention relates to a substituted benzo or pyridopyrimidine amine inhibitor, a preparation method therefor, and an application thereof. Specifically, a compound of the present invention is of a structure as shown in formula (I). The present invention further discloses a preparation method for the compound and a use of the compound as an SOS1 inhibitor; and the compound of the present invention has a good selective inhibitory effect on SOS1 and has better pharmacodynamic and pharmacokinetic properties and smaller toxic and side effects.

Abstract: According to embodiments of the present invention, a sensor for determining relative motion between two objects is provided. The sensor includes a primary sensing part including a single primary electrode or multiple primary electrodes; a secondary sensing part including a single secondary electrode or multiple secondary electrodes; and one or more electrical measurement units. Each electrical measurement unit may be electrically coupled to a ground and one of the followings: the single primary electrode, a common electrical connection or separate electrical connections of the multiple primary electrodes, the single secondary electrode, a common electrical connecting point or separate electrical connecting points of the multiple secondary electrodes; or electrically coupled between two primary electrodes, or between two secondary electrodes.

Abstract: Mesh-tracking based dynamic 4D modeling for machine learning deformation training includes: using a volumetric capture system for high-quality 4D scanning, using mesh-tracking to establish temporal correspondences across a 4D scanned human face and full-body mesh sequence, using mesh registration to establish spatial correspondences between a 4D scanned human face and full-body mesh and a 3D CG physical simulator, and training surface deformation as a delta from the physical simulator using machine learning. The deformation for natural animation is able to be predicted and synthesized using the standard MoCAP animation workflow. Machine learning based deformation synthesis and animation using standard MoCAP animation workflow includes using single-view or multi-view 2D videos of MoCAP actors as input, solving 3D model parameters (3D solving) for animation (deformation not included), and given 3D model parameters solved by 3D solving, predicting 4D surface deformation from ML training.

Abstract: An encoding method includes capturing an original screen video to be encoded, the original screen video including frames of screen images, reading image feature parameters of the frames of screen images in the original screen video, determining video encoding parameters for the original screen video according to the image feature parameters, acquiring a screen display resolution of a screen sharing object, and encoding the original screen video according to the video encoding parameters and with reference to the screen display resolution of the screen sharing object.

Abstract: An electrical connection device includes a panel and a connector. The panel is formed with an opened hole. The connector includes an insulative housing and a locking member. The insulative housing is configured to be capable of inserting into the opened hole of the panel and moving to an assembled position. The locking member has a protecting frame and a locking arm. The protecting frame has an inner frame body, an outer frame body and two side frame bodies which connects the inner frame body and the outer frame body. The locking arm has two end portions, an elastic arm portion and a lock protruding portion. The elastic arm portion is constructed as an elastic zone. The two end portions are connected to an inner side of the outer frame body so that the two side frame bodies are constructed as a deformable zone. When the lock protruding portion is squeezed by the panel, the elastic zone and the deformable zone all are capable of bending deformation.

Abstract: Provided are single-domain antibodies targeting CLL1 and constructs thereof, including chimeric receptors, immune effector cell engagers and immunoconjugates. Further provided are engineered immune effector cells (such as T cells) comprising an anti-CLL1 chimeric receptor and optionally a second chimeric receptor targeting a second antigen or epitope. Pharmaceutical compositions, kits and methods of treating cancer are also provided.

Abstract: Disclosed is a model training method, a performance prediction method, an apparatus, a device and a medium, which relate to the technical field of display. The model training method includes acquiring a training sample set, wherein the training sample set includes: training design data and test data of a sample display device; inputting the training sample design data into a model to be trained, and training the model to be trained according to an output of the model to be trained and the training sample test data to obtain an initial prediction model; when the initial prediction model satisfies a pre-set condition, determining the initial prediction model as a performance prediction model; and a performance prediction model for predicting performance data of a target display device.

Abstract: Disclosed is a method for training an abnormal-detection model based on an improved denoising autoencoder, including: acquiring an original image; generating a rectangular frame according to a preset range of a resolution ratio, by the improved denoising autoencoder, and occluding the original image by the rectangular frame, wherein the resolution ratio is a ratio of a resolution of an occlusion area formed by the rectangular frame to a resolution of the original image; filling random noise in the rectangular frame to obtain a noised image, by the improved denoising autoencoder; and performing constraint learning on the original image and the noised image, by the abnormal-detection model, to implement training of the abnormal-detection model. Because a learning task is more complex, it is helpful to alleviate identity mapping, and detection performance of the model is improved. The present application further provides an apparatus, a device, and a readable storage medium thereof.

Abstract: This application discloses a data coding method and apparatus, and a computer-readable storage medium. The method involves a data transmission related technology in a cloud technology, and includes: acquiring at least two coding units in an image frame in video data, acquiring motion vector information of each coding unit of the at least two coding units, determining overall average vector information of the image frame based on the motion vector information of each coding unit, determining component average vector information of the image frame in a reference direction based on component vector information of the motion vector information of each coding unit in the reference direction, determining a frame execution policy of the image frame for a motion search operation in the reference direction according to the overall average vector information and the component average vector information, and encoding the image frame according to the determined frame execution policy.

Abstract: The present disclosure provides a high-entropy alloy (HEA) with room-temperature superplasticity and a preparation method thereof, belonging to the field of metal materials. In the present disclosure, the HEA with room-temperature superplasticity has a chemical formula shown in Formula I: (FeCoNiCr)100-xCux (Formula I), where in Formula I, x is 2.0 to 4.0. A FeCoNiCr alloy is used as a matrix, and then added with a trace amount of a Cu element, thereby significantly reducing formation of a metastable phase in the FeCoNiCr alloy while reducing stacking fault energy of the alloy, such that the alloy maintains a desirable work hardening ability and achieves an excellent elongation at break. Moreover, a plasticity of the alloy is further improved through twinning-induced plasticity (TWIP).

Abstract: An intention identification model learning method includes receiving positive data that corresponds to a first skill, generating, based on the positive data that corresponds to the first skill, negative data that corresponds to the first skill, determining a second skill similar to the first skill, obtaining data that corresponds to each second skill, generating a second base model based on the data that corresponds to the second skill and a first base model stored on the server, and performing learning based on the second base model, the positive data, and the negative data that correspond to the first skill, and generating an intention identification model.

Abstract: A curved substrate bubble detection method includes: providing, by a first light source and a second light source, parallel light incident to a to-be-tested substrate in different incident directions; obtaining, by a linear array camera, a first image including image information of a first side edge of the to-be-tested substrate; determining location information of a defect region of the to-be-tested substrate according to the first image, and generating a second image including image information of the defect region; binarizing the second image, and determining that the to-be-tested substrate has a bubble defect if there are at least two bright spots in an obtained binarized image, and a distance between any two first bright spots of at least two first bright spots is less than a first preset value. A curved substrate bubble detection system is also disclosed.

Abstract: An article of outdoor foldable furniture with a lamplight decoration structure includes a frame body and a foldable component for connecting the frame body. The frame body is provided with at least one light bar groove. The foldable component includes a first connecting part, a folding part, and a second connecting part. The first and second connecting parts are closed and extended through the folding part. The first connecting part and/or the second connecting part are provided with a luminous body mounting groove. The luminous body mounting groove is correspondingly disposed in the light bar groove of the frame body. A lampshade, provided with a light guide bar, is mounted in the light bar groove of the frame body. A light-emitting unit corresponding to the light guide bar is mounted in the luminous body mounting groove. A controller is conductively connected to the light-emitting unit through flexible wires.

Abstract: Disclosed are techniques for performing CT beam hardening correction. The CT beam hardening correction includes scanning a phantom to obtain measured projection data of the phantom and calculating corrected projection data of a measured object according to a calculated beam hardening correction factor, measured projection data of the measured object, a corrected projection data of the measured object, and a relationship among expected projection data of a scanned object.