Abstract: Provided are a decoding method, a decoding device and a decoder. The method includes: setting a decoder parallelism P, and splitting soft information of a block to be decoded according to the parallelism P; performing decoding calculation on the block to be decoded according to the split information, and outputting decoded hard bit information; and recombining the hard bit information according to the parallelism P.

Abstract: A method for preparing organic-inorganic hybrid nanoflower by electrodeposition is provided, which relates to the technical field of enzyme immobilization. An aqueous solution of a rare earth nitrate is mixed with a biological enzyme and a nitrate to obtain a mixed solution; the rare earth ions in the rare earth nitrate are one or more selected from La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Yb and Y ions; the biological enzyme is ?-amylase, horseradish peroxidase or laccase; then, the mixed solution is electrodeposited with a three-electrode system consisting of a working electrode, a counter electrode and a reference electrode to obtain an electrodeposited film on the surface of the working electrode; thereafter, the electrodeposited film is washed and dried successively to obtain organic-inorganic hybrid nanoflower.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilizes a neural network having a hierarchy of hierarchical point-wise refining blocks to generate refined segmentation masks for high-resolution digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network having an encoder and a recursive decoder to generate the refined segmentation masks. The recursive decoder includes a deconvolution branch for generating feature maps and a refinement branch for generating and refining segmentation masks. In particular, in some cases, the refinement branch includes a hierarchy of hierarchical point-wise refining blocks that recursively refine a segmentation mask generated for a digital visual media item.

Abstract: Disclosed is a method for monitoring vehicle overload based on gravity anomaly, which includes the following steps of: setting a plurality of measuring positions on a single lane, arranging a gravimeter to acquire gravity anomaly values caused by a vehicle when the middle position along the length direction of the vehicle reaching each measuring position, using a monitoring camera to judge the category of the vehicle, acquire three geometric dimensions of the vehicle, and determine the position of the vehicle. The vehicle is simplified as a cuboid, and the mass density distribution is simplified as a piecewise constant function along the length direction of the vehicle. Calculating values of the piecewise constant function according to the gravity anomaly values, calculating a total weight of the vehicle according to the mass density distribution, comparing the total weight with the weight limit of the vehicle to judge whether the vehicle is overloaded. (FIG.

Abstract: A messenger RNA (mRNA) vaccine has emerged as a promising direction to combat the COVID-19 pandemic. This requires an mRNA sequence that is stable and highly productive in protein expression, features to benefit from greater mRNA secondary structure folding stability and optimal codon usage. Sequence design remains challenging due to the exponentially many synonymous mRNA sequences encoding the same protein. The present disclosure presents embodiments of a linear-time approximation (LinearDesign) reducing the design to an intersection between a Stochastic Context Free Grammar (SCFG) and a Deterministic Finite Automaton (DFA). Embodiments of the LinearDesign may implement an mRNA sequence design using much reduced time with very limited loss. Various methodologies, e.g., finding alternative sequences based on k-best parsing or directly incorporating codon optimality, are presented for incorporating the codon optimality into the design.

Abstract: An electric power system for an electric vehicle, including: first charging and discharging current paths connected to a first battery unit; second charging and discharging current paths connected to a second battery unit; third charging and discharging current paths for a connection with an electric control system of the vehicle; a first power switch between the first discharging current path and the third discharging current path; a second power switch between the second discharging current path and the third discharging current path; a controlling unit to set the first and second power switches based on states of the accumulators, at least one of the first and second battery units being swappable. A controller, a method, and a vehicle comprising the system are also disclosed.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize a progressive refinement network to refine alpha mattes generated utilizing a mask-guided matting neural network. In particular, the disclosed systems can use the matting neural network to process a digital image and a coarse guidance mask to generate alpha mattes at discrete neural network layers. In turn, the disclosed systems can use the progressive refinement network to combine alpha mattes and refine areas of uncertainty. For example, the progressive refinement network can combine a core alpha matte corresponding to more certain core regions of a first alpha matte and a boundary alpha matte corresponding to uncertain boundary regions of a second, higher resolution alpha matte. Based on the combination of the core alpha matte and the boundary alpha matte, the disclosed systems can generate a final alpha matte for use in image matting processes.

Abstract: A roller embossing method for flexible graphite polar plates of fuel cells comprises: (1) adjusting a clearance of an embossing roller pair of a roller press to a target thickness value of a monopolar plate; (2) feeding a flexible graphite slab in front of the embossing roller pair, and entangling the flexible graphite slab by means of opposite rotation of the embossing roller pair; (3) after the slab is entangled, continuing to forward roll the slab for 10-100 mm, and then reversely rolling the slab for 5-90 mm by means of synchronous and opposite rotation of an upper and a lower embossing roller, wherein one time of forward rolling and one time of reverse rolling are referred to as reciprocal rolling; (4) forming a polar plate after several times of reciprocal rolling, and separating the polar plate from the embossing rollers; (5) performing subsequent treatment on the roll-formed flexible graphite polar plate.

Abstract: The present disclosure provides an electrostatic self-powered displacement grid sensor used for measuring the displacement of a component to be measured. The device structure includes a sliding chute and a sliding sheet, wherein the sliding chute is fixed to a fixed end, and the bottom of the inner side of the sliding chute is provided with a sensing array; the sliding sheet is fixedly connected with the component to be measured, and the lower end of the sliding plate is in contact with the bottom of the inner side of the sliding chute. When the sliding sheet slides over the sensing array; a corresponding electrical signal is produced, and the number of segments and the distance on sensing units on a single sensing array over which the sliding sheet slides can be obtained according to numbers and output current of sensing units in the sensing array indicated by the signal, and therefore the structural displacement is obtained.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a plurality of neural networks in a multi-branch pipeline to generate image masks for digital images. Specifically, the disclosed system can classify a digital image as a portrait or a non-portrait image. Based on classifying a portrait image, the disclosed system can utilize separate neural networks to generate a first mask portion for a portion of the digital image including a defined boundary region and a second mask portion for a portion of the digital image including a blended boundary region. The disclosed system can generate the mask portion for the blended boundary region by utilizing a trimap generation neural network to automatically generate a trimap segmentation including the blended boundary region. The disclosed system can then merge the first mask portion and the second mask portion to generate an image mask for the digital image.

Abstract: The present invention discloses a rare-earth-manganese/cerium-zirconium-based composite compound, a method for preparing the same, and a use thereof. The composite compound is of a core-shell structure with a general formula expressed as: A REcBaOb-(1-A)CexZr(1-x-y)MyO2-z, wherein 0.1?A?0.3, preferably 0.1?A?0.2; a shell layer has a main component of rare-earth manganese oxide with a general formula of REcMnaOb, wherein RE is a rare-earth element or a combination of more than one rare-earth elements, and B is Mn or a combination of Mn and a transition metal element, 1?a?8, 2?b?18, and 0.25?c?4; and a core has a main component of cerium-zirconium composite oxide with a general formula of CexZr(1-x-y)MyO2-z, wherein M is one or more non-cerium rare-earth elements, 0.1?x?0.9, 0?y?0.3, and 0.01?z?0.3. The composite compound enhances an oxygen storage capacity of a cerium-zirconium material through an interface effect, thereby increasing a conversion rate of a nitrogen oxide.

Abstract: An end winding flux motor is provided, which is axially connected at an end of a traditional motor, the traditional motor comprises a stator and a rotor, and the rotor is inserted into the stator; a stator winding is mounted on the stator and includes an end winding protruding from an end of the stator, and the end winding flux motor includes an end extension piece, a rotor yoke and a magnetic steel; one end of the end extension piece is connected with the stator. The winding of the motor is utilized in this way in the present disclosure to increase a power density of the motor, improve a heat dissipation capability of the end winding, and increase a “torque-current ratio” of the motor.

Abstract: Provided is an in vitro rescue method for immature embryo of avocado, and the method includes: collecting immature avocado hybrid fruits, stripping immature zygotic embryos from the sterilized fruits; inducing maturation of zygotic embryos in different mediums selected according to the maturities of zygotic embryos; and avocado seed embryos growing to normal plants under light conditions after germination. Provided is a technology for the in vitro culture rescue of immature embryo of avocado, wherein the zygotic embryos at different developmental stages are induced to maturation under in vitro conditions, and after maturation, the seed embryos are induced to germinate and form healthy plants.

Abstract: A controllable switch, a dual-control switch, and a control system including a controllable switch includes a wireless communication module and a switch component. The wireless communication module is coupled to the switch component. The wireless communication module is configured to send a control instruction to the switch component in response to receiving a switching request. The switch component is configured to switch from a first state to a second state after receiving the control instruction. The first state is one of a turning-on state and a turning-off state, and the second state is the other one of the turning-on state and the turning-off state.

Abstract: Systems and methods are provided for performing medical imaging analysis. Input medical imaging data is received for performing a particular one of a plurality of medical imaging analyses. An output that provides a result of the particular medical imaging analysis on the input medical imaging data is generated using a neural network trained to perform the plurality of medical imaging analyses. The neural network is trained by learning one or more weights associated with the particular medical imaging analysis using one or more weights associated with a different one of the plurality of medical imaging analyses. The generated output is outputted for performing the particular medical imaging analysis.

Abstract: A method includes a first brake block of a first brake rubber, a second brake block mounted with a second brake rubber and a mounting base for mounting the first and second brake blocks. The second brake rubber is movable along a direction slanted with respect to an axis of rotation of the traction sheave. A brake block actuation member is triggered by the brake blocks to enable the first and the second brake rubbers to hold the traction sheave. A switching member is also triggered by the action of the second brake rubber, cutting off a safety circuit of the elevator. The external power is cut off, and the brake block actuation member enables contact between the second brake rubber and the traction sheave. The traction sheave further drives the second brake rubber triggering the brake block members to generate frictional braking force to stop the traction sheave.

Abstract: A method for allocating virtual articles comprises: receiving at least two acquisition requests directed at a virtual article packet, and respectively recording receiving times of the acquisition requests, wherein the virtual article packet comprises one or more virtual article sub-packets; allocating acquisition sequence numbers respectively to the acquisition requests according to a sequential order of the receiving times of the acquisition requests; and allocating the virtual article sub-packets according to the acquisition sequence numbers for the acquisition requests corresponding to the acquisition sequence numbers, and sending virtual articles in the virtual article sub-packets to users corresponding to the acquisition requests.

Abstract: An insect bait station, for example an ant bait station, for deploying a toxicant includes a housing with a body portion covered by a cover. The body portion includes first and second reservoirs. Entryways having a converging outer portion and an upright tubular portion provide insect access into the housing. The upright tubular portion extends from the converging outer portion, through a bait in the second reservoir. An entry port is provided in the tubular portion above the bait. A first bait is disposed in the first reservoir and a second bait is disposed in the second reservoir. For example, the first bait may include a protein-based food and a pesticide, and the second bait may include a sugar- or lipid-based food with or without a pesticide.

Abstract: COVID-19 has become a global pandemic after its inception in late 2019. SARS-CoV-2 genomes are sequenced and shared on public repositories at a fast pace. To keep up with these updates, datasets need to be refreshed and re-cleaned frequently. It may be difficult to analyze SARS-CoV-2 genomes for scientists with limited bioinformatics or programming knowledge. In the present disclosure, system and method embodiments for genome analysis and visualization are developed to address these challenges. A webserver may be used to enable simple and rapid analysis of genomes. Given a new sequence, the system may automatically predict gene boundaries and identify genetic variants, which are presented in an interactive genome visualizer and are downloadable for analysis. A command-line interface may be available for high throughput processing.