Abstract: A display substrate has a display area and a peripheral area surrounding the display area; the display area has a functional area and a non-functional area; the display substrate includes a base substrate, a plurality of first signal lines, a first interlayer insulating layer, a plurality of second signal lines, a conductive mesh and an auxiliary functional structure; the conductive mesh includes a plurality of first conductive structures and a plurality of second conductive structures which are arranged crosswise and electrically connected to each other; the auxiliary functional structure includes a plurality of first conductive wires and a plurality of second conductive wires which are arranged crosswise; the first conductive wire is at least a part of the first conductive structure, and each of some first conductive structures includes two first conductive wires; the second conductive wire is at least a part of the second conductive structure.

Abstract: Disclosed are a preparation method and application of flour with low oil absorption during frying, belonging to the field of flour modification. The preparation method of flour with low oil absorption during frying increases the cross-linking degree of starch, protein, and starch-protein in the flour by adding glutamine transaminase first and then phytic acid or adding phytic acid first and then glutamine transaminase so as to improve the compactness of the flour structure, which reduces water evaporation and oil absorption during frying after the flour is made into dough, and thus ultimately forms the modified flour with low oil absorption during frying. The method is simple, green, pollution-free, and low in energy consumption, and the modified flour prepared has improved thermal stability and reduced oil absorption after frying. The present disclosure has broad application prospects in the fields of flour modification and fried foods.

Abstract: An embodiment of an adaptive video encoder may determine headset-related information including at least one of focus-related information and motion-related information and determine one or more video encode parameters based on the headset-related information. The adaptive video encoder may also encode a macroblock of a video image based on the one or more determined video encode parameters. Other embodiments are disclosed and claimed.

Abstract: A method for driving a display panel and a display device, the method includes: acquiring an original grayscale value of each sub-pixel in an mth row and a target grayscale value corresponding to a data voltage input to each sub-pixel in an (m?1)th row m being an integer greater than 1; if, in a same column, the original grayscale value of the sub-pixel in the mth row is larger than the target grayscale value corresponding to the data voltage input to the sub-pixel in the (m?1)th row, determining a target grayscale value of each sub-pixel in the mth row according to the original grayscale value of the sub-pixel in the mth row and the target grayscale value of the sub-pixel in the (m?1)th row inputting a data voltage to a data line in the display panel according to the target grayscale value of each sub-pixel in the mth row.

Abstract: The present disclosure provides a method and system for diagnosing a leakage in a hydrogen system for a vehicle, an electronic device, and a storage medium. The method includes: obtaining data of a hydrogen cylinder gas pressure of a fuel cell vehicle; separately performing Gramian angular field transformation and Markov transition field transformation on the pressure data, to obtain static and dynamic feature information; performing, by a static feature LeNet neural network, recognition based on the static feature information, to obtain a probability output of the static feature LeNet neural network; performing, by a dynamic feature LeNet neural network, recognition based on the dynamic feature information, to obtain a probability output of the dynamic feature LeNet neural network; and performing fusion through a Dempster-Shafer (D-S) evidence theory based on the probability output of the static and dynamic feature LeNet neural network, to obtain an excellent hydrogen leakage diagnosis result.

Abstract: A terminal device receives first information, where the first information is for determining first duration, the first duration indicates duration from a moment at which a first beam stops a service to a moment from which a second beam provides a service, and the first beam and the second beam are beams on satellites. The terminal device communicates with a network device by using the second beam based on the first duration.

Abstract: A fusion protein of interleukin-2 and human serum albumin. By electroporating a plasmid carrying interleukin-2 and human serum albumin fusion gene into a CHO cell, a CHO monoclonal cell line stably and efficiently expressing a human recombinant protein is obtained. The monoclonal cell line can secrete and express a fusion protein of interleukin-2 and human serum albumin. The fusion protein can prolong the plasma half-life of human interleukin-2, and can be used for preparing human interleukin-2 drugs or drugs for treating various diseases such as tumors and immunodeficiency diseases.

Abstract: Disclosed are a preparation method and application of flour with low oil absorption during frying, belonging to the field of flour modification. The preparation method of flour with low oil absorption during frying increases the cross-linking degree of starch, protein, and starch-protein in the flour by adding glutamine transaminase first and then phytic acid or adding phytic acid first and then glutamine transaminase so as to improve the compactness of the flour structure, which reduces water evaporation and oil absorption during frying after the flour is made into dough, and thus ultimately forms the modified flour with low oil absorption during frying. The method is simple, green, pollution-free, and low in energy consumption, and the modified flour prepared has improved thermal stability and reduced oil absorption after frying. The present disclosure has broad application prospects in the fields of flour modification and fried foods.

Abstract: A tunneling system includes a bolter miner, a bolter-integrated transportation machine, a transfer machine, a self-moving tail and a belt conveyor. The bolter miner includes a rack, a cutting device, and a bolt support device. The bolt support device includes a lifting assembly, a work platform, a first drilling frame assembly and a stabilizing assembly. The lifting assembly is arranged between the rack and the work platform. The first drilling frame assembly and the stabilizing assembly are arranged on the work platform. The bolter-integrated transportation machine is arranged behind the bolter miner and configured to transfer coal rock cut and conveyed by the bolter miner. One end of the transfer machine is connected with the bolter-integrated transportation machine, and the other end of the transfer machine is lapped with the self-moving tail. The belt conveyor is arranged behind the self-moving tail.

Abstract: A method for preparing V-type porous starch includes: mixing starch and a first ethanol solution in a reaction kettle, adding concentrated hydrochloric acid to the reaction kettle for acidity regulation, and controlling a temperature of a reaction system in the reaction kettle at 80-150° C.; cooling the reaction kettle, and adding a sodium hydroxide solution to the reaction system in the reaction kettle, until a pH of a mixture in the reaction kettle is neutral, to yield a starch solution; and centrifuging the starch solution, washing a collected precipitate with a second ethanol solution, leaching, drying, cooling, and pulverizing, to yield V-type porous starch.

Abstract: A bionic robot is provided, which includes a body; a plurality of sets of wheeled leg devices arranged at intervals in a front-rear direction, each comprising two wheeled leg devices arranged symmetrically in a left-right direction, each comprising a leg assembly and a travel wheel, and a power output shaft connected to the travel wheel; and a suspension device disposed in the body and connected to at least two sets from the plurality of sets of wheeled leg devices. The at least two sets of wheeled leg devices are located at the foremost end and the backmost end respectively. The suspension device comprises a plurality of drive assemblies, each connected to a corresponding leg assembly, which each comprise: an electric cylinder being configured to drive a telescopic rod to extend or retract; a damper connected between the body and the leg assembly; and an elastic member fitted over the damper.

Abstract: A hydrogen bond induced high stability porous covalent organic gel material and a preparation method thereof are provided. The method comprises: dissolving tetrakis(4-carboxyphenyl)silane in methanol to obtain solution A; adding concentrated sulfuric acid to the solution A, then water-bath heating and re-flowing to obtain a solution B; evaporating the solution B, dissolving remaining powder with an ethyl acetate, washing and drying, filtering and then evaporating the filtrate until crystallization to obtain a colorless solid C; dissolving the colorless solid C and hydrazine hydrate in methanol, water-bath re-fluxing, filtering and collecting white powder, washing and drying to obtain a white solid D; adding the white solid D and 1,4-Phthalaldehyde to N,N-dimethyl-formamide, adding trifluoroacetic acid, and then getting the desired material.

Abstract: The present invention discloses an intelligent image sensing device for sensing-computing-cloud integration based on a federated learning framework. The device comprises: intelligent image sensors, edge servers and a remote cloud, wherein the intelligent image sensor is used for perceiving and generating images, and uploading the images to the edge server; the edge server is used as a client; the remote cloud is used as a server; the clients train a convolutional fuzzy rough neural network based on the received images and the proposed federated learning framework; and the intelligent image sensors download the weight parameters of the trained convolutional fuzzy rough neural network from the clients, and classify and recognize the images based on the trained weight parameters. The present invention searches a lightweight deep learning architecture through neuroevolution, and deploys the lightweight deep learning architecture in the image sensors to automatically discriminate and analyze the perceived images.

Abstract: The present disclosure relates to a hot working method for stainless steel bars, comprising: step (1) heating a steel ingot at a heating temperature in a range from 1200° C. to 1270° C.; step (2) subjecting the heated steel ingot to radial forging and cogging down according to a total compression ratio greater than 3 to obtain a square billet; step (3) heating the square billet at a heating temperature in a range from 1200° C. to 1270° C.; and step (4) subjecting the heated square billet to hot rolling to obtain a bar. The processing method of the present disclosure can avoid the quality defect of surface crack while ensuring production efficiency by optimizing the process flow and controlling key process parameters, so that niobium-containing high-alloy austenitic heat-resistant stainless steel bars with good surface quality and structure can be prepared.

Abstract: The present invention discloses an intelligent image sensing device for sensing-computing-cloud integration based on a federated learning framework. The device comprises: intelligent image sensors, edge servers and a remote cloud, wherein the intelligent image sensor is used for perceiving and generating images, and uploading the images to the edge server; the edge server is used as a client; the remote cloud is used as a server; the clients train a convolutional fuzzy rough neural network based on the received images and the proposed federated learning framework; and the intelligent image sensors download the weight parameters of the trained convolutional fuzzy rough neural network from the clients, and classify and recognize the images based on the trained weight parameters. The present invention searches a lightweight deep learning architecture through neuroevolution, and deploys the lightweight deep learning architecture in the image sensors to automatically discriminate and analyze the perceived images.

Abstract: A method for producing a cold-water-soluble starch. The method includes: 1) adding a starch and 3-45 wt. % of an ethanol aqueous solution to a container, and stirring a mixture of the starch and the ethanol aqueous solution in the container, thus yielding a starch-ethanol-water; 2) introducing the starch-ethanol-water to an extruder and producing a noodle extrudate, where the extruder comprises 3 continuous temperature control areas: a first area having a temperature of 50° C., a second area having a temperature of between 95 and 120° C., and a third area having a temperature of 60° C.; a rotation speed of the extruder is 70-150 rpm; and the noodle extrudate has a diameter of 0.2-0.5 cm; 3) pressing and roll slitting the noodle extrudate, thus yielding a plurality of slices; and 4) drying the plurality of slices in a microwave vacuum oven, cooling, and pulverizing the plurality of slices.

Abstract: A method and an active commissioning system for video analytics (VA) of video surveillance are provided. The method includes capturing, using a video capture device, a video sequence and receiving, at a VA processor, a parameter set from a cloud resource, wherein the parameter set is used for video analytics. The method also includes processing the video sequence by selecting subparts of the video sequence as events, wherein the events are detected based on the parameter set, generating a visualized report using the events from the VA processor and providing the visualized report to an operator, marking, by the operator, yes/no on the events in the visualized report, generating annotations for events based on the marking, and transmitting the annotations and the events to the cloud resource for processing, wherein the cloud resource processes the annotations and events and provides the parameter set based on the processing.

Abstract: Provided is an off-road robot, including a front side portion, a rear side portion and a middle portion. The front side portion includes a front vehicle frame, a front wheel and a first driving system; the front wheels and the first driving system are disposed at the front vehicle frame; and the first driving system drives the front wheels. The rear side portion includes a rear vehicle frame, a rear wheel and a second driving system; the rear wheel and the second driving system are disposed at the rear vehicle frame; and the second driving system drives the rear wheels. The middle portion includes a first frame and a second frame; the first frame and the second frame are detachably connected; the front vehicle frame is connected with the first frame; and the rear vehicle frame is connected with the second frame.

Abstract: A preparation method of a resin-based iron oxide-containing composite phosphate removal adsorbent is provided. An alkaline anion resin is taken as a base, a potassium ferrate is used as an iron source, and a characteristics of ferrate ions easily adsorbed on a surface of the anion resin are utilized to prepare resin-based iron oxide-containing composite phosphate removal adsorbent by one-step in-situ hydrolysis precipitation, compared with the related art, a preparation process of the disclosure is relatively simpler, a time period is shorter, and a production cost is lower. It has a strong ability to eliminate interference from other anions in the waste effluents, and it has a strong adsorption capacity, fast adsorption speed and large adsorption capacity for the phosphate. Moreover, it has the advantages of strong regeneration ability and multiple repeated use times.