Abstract: Embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for managing smart gas safety based on user activity. The method includes obtaining gas data of a gas user, determining, based on the gas data, a gas risk for the gas user, and determining at least one target on-site user based on the gas risk. The method further includes determining, based on at least the gas data of the target on-site user, an activity distribution of the at least one target on-site user, and based on the activity distribution, determining a recommended on-site time set and sending the recommended on-site time set to the at least one target on-site user.

Abstract: In certain examples, methods and semiconductor structures are directed to an integrated circuit (IC) having a diamond layer section and a GaN-based substrate being monolithically integrated or bonded as part of the same IC. In a specific example, the GaN-based substrate includes GaN, AlxGayN (0<x<1; x+y=1) and a dielectric layer, and a diamond layer section which may include polycrystalline diamond. The IC includes: a GaN-based field effect transistor (FET) integrated with a portion of the GaN-based substrate, and a diamond-based FET integrated with a portion of the diamond layer section, the diamond FET being electrically coupled to the GaN-based FET and situated over or against a surface region of the GaN-based substrate.

Abstract: A video processing method includes obtaining motion information of a neighboring block of a current image block, dividing the current image block into a plurality of sub-blocks in response to the neighboring block satisfying a preset condition, determining, in a time-domain reference image of the current image block, related blocks of the plurality of sub-blocks according to a motion vector of the neighboring block, and performing prediction on the current image block according to motion vectors of the related blocks.

Abstract: A video image processing method includes determining a related block of a current image block according to a motion vector of a target neighboring block, the current image block, and a collocated frame of the current image block, decoding the current image block according to a motion vector of the related block of the current image block, constructing motion vectors of part of control points of the current image block according to neighboring blocks of the part of the control points of the current image block, and adding the motion vectors of the part of the control points of the current image block to a motion vector candidate list of the current image block.

Abstract: A method implemented by a video coding apparatus includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample. The NN filter is applied based on a syntax element of the video unit. The method also includes converting between a video media file and a bitstream based on the filtered sample that was generated.

Abstract: A use of nitrogen-doped carbon fluorescent quantum dots in preparation of aerobic glycolysis detection products is provided. The carbon-nitrogen fluorescent quantum dots are selected from one or more of C3N4 quantum dots, C2N quantum dots, and C3N quantum dots. The aerobic glycolysis detection products are reagents, based on a final volume of the reagents, the reagents comprise the carbon-nitrogen fluorescent quantum dots with a final concentration of 1 ?g/mL-1 mg/mL. The present disclosure realizes fluorescent labeling of NAD+ in living cells using the carbon-nitrogen fluorescent quantum dots, thus achieving fluorescent labeling and imaging of cells having aerobic glycolysis, which has the advantages of low cost, high efficiency, rapidity, and high accuracy.

Abstract: A method for preparing a cementing material by sintering and activating coal gangue is provided. The method includes the following steps: (1) crushing coarse-grained coal gangue to predetermined particle size; (2) fully and evenly mixing the crushed coal gangue, the composite additive and water according to a set proportion, and granulating the obtained mixture; (3) distributing, igniting and exhausting the granulated pellets in the sintering machine to obtain decarburized coal gangue sinter; (4) cooling the decarburized coal gangue sinter in a cooler; (5) crushing and finely grinding the cooled coal gangue sinter to obtain a coal gangue active mixture; and (6) mixing the coal gangue active admixture, the fly ash, the quicklime and the gypsum according to a predetermined ratio, and then carrying out injection moulding, mold removal and curing to obtain the coal gangue-based cementitious material.

Abstract: A PROTAC target molecule generation method, system, and storage medium where the method includes obtaining parameters; extract the target protein ligand structure corresponding to the first parameter in the target protein ligand database to form a first subset, extract the degradation agent fragment structure corresponding to the parameter in the degradation agent fragment database to form a second subset, and extract the linker fragment structure corresponding to the parameter in the linker fragment database to form a third subset; permute and combine each fragment structure in the subsets to generate PROTAC target molecules. The extract required fragment structures from various databases, then permute and combine the three groups of fragment structure, and use big data and computational processing to be used for experiments, avoids the omission of the combination of structural fragments, improves the accuracy of molecular design and speeds up drug research and development processes.

Abstract: An imputation method for surface ultraviolet irradiance based on feasible cloud information and machine learning includes: establishing a deep learning model, wherein the deep learning model is designed to be a two-layered stacking ensemble learning model; constructing a first layer of the deep learning model as combination of multiple fundamental machine learning models; constructing a second layer of the deep learning model as Lasso model, which integrates an output from the first layer to obtain a final retrieval result; matching the surface ultraviolet irradiance with input features comprising cloud and meteorological information according to the temporal and spatial variables; establishing a statistical relationship between the surface ultraviolet irradiance and by training the deep learning model; and estimating the surface ultraviolet irradiance based on the trained deep learning model in regions with missing satellite observations of the surface ultraviolet irradiance.

Abstract: A retrieval method for surface ozone based on surface ultraviolet radiation irradiance includes: establishing a deep learning model; establishing a statistical relationship between input variables including surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude, and surface ozone concentrations at monitoring sites; matching a site-monitored surface ozone concentration with the surface UV irradiance and column ozone; training the deep learning model; estimating surface ozone concentrations in regions with available satellite observations based on the trained deep learning model; and inputting surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude into the trained deep learning model to estimate surface ozone concentration; evaluating an air quality based on the surface ozone concentration of the geolocation.

Abstract: In certain examples, methods and semiconductor structures are directed to a method comprising steps of forming by monolithically integrating or seeding via polycrystalline diamond (PCD) particles on a GaN-based layer characterized as including GaN in at least a surface region of the GaN-based layer. After the step of seeding, the PCD particles are grown under a selected pressure to form a diamond layer section and to provide a semi-conductive structure that includes the diamond layer section integrated on or against the surface region of the GaN-based layer.

Abstract: The present invention discloses base editing systems for mutating a base C to A and a base C to G and applications thereof. The base editing system for mutating C to A disclosed in the present invention includes cytosine deaminase AID and nCas9 nuclease or includes cytosine deaminase AID, nCas9 nuclease and uracil DNA glycosidase; the base editing system for mutating C to G of the present invention includes cytosine deaminase APOBEC, nCas9 nuclease and uracil DNA glycosidase. The experiments show that a combination of the three base editing systems for mutating C to A, C to T and A to G can realize a mutation of A, T, C or G to any base in both prokaryotes and eukaryotes.

Abstract: In certain examples, methods and semiconductor structures are directed to an integrated circuit (IC) having a diamond layer section and a GaN-based substrate being monolithically integrated or bonded as part of the same IC. In a specific example, the GaN-based substrate includes GaN, AlxGayN (0<x<1; x+y=1) and a dielectric layer, and a diamond layer section which may include polycrystalline diamond. The IC includes: a GaN-based field effect transistor (FET) integrated with a portion of the GaN-based substrate, and a diamond-based FET integrated with a portion of the diamond layer section, the diamond FET being electrically coupled to the GaN-based FET and situated over or against a surface region of the GaN-based substrate.

Abstract: A method is described for seismic inversion including receiving a processed seismic image and an enhanced seismic image representative of a subsurface volume of interest; forward modeling the processed seismic image and the enhanced seismic image to generate a first modeled dataset and a second modeled dataset; differencing the first modeled dataset and the second modeled dataset to create a residual dataset; filtering the first modeled dataset to generate an approximation of illumination; preconditioning the residual dataset with the approximation of illumination to generate an adjoint source; back projecting the adjoint source to determine a model update; and applying the model update to an earth model of the subsurface volume of interest.

Abstract: A method is described for seismic imaging including generating extended image gathers by extended reverse time migration of a seismic dataset using an earth model; processing the extended image gathers to generate processed image gathers; performing extended modeling based on the processed image gathers to generate a modeled seismic dataset; enhancing the processed image gathers to generate an enhanced image; performing extended modeling based on the enhanced image gathers to generate a modeled enhanced dataset; differencing the modeled enhanced dataset and the modeled seismic dataset to determine a data residual; inverting the data residual to generate a model residual; updating the earth model based on the model residual to create an updated earth model; performing seismic imaging of the seismic dataset using the updated earth model to create an improved seismic image. The method may be executed by a computer system.