Abstract: The present disclosure relates to a method of deriving quality improvement requirements. The method according to some embodiments may include receiving a plurality of evaluation information for a first product from an evaluation information database, inputting the plurality of evaluation information into a key phrase extraction model and determining key phrases for the plurality of evaluation information based on an output of the key phrase extraction model, grouping some of the key phrases for the plurality of evaluation information into multiple groups and storing information on each of the multiple groups in a memory, ranking the key phrases included in each of the multiple groups and storing information associated with the ranks of the key phrases included in each of the multiple groups in the memory and determining top n key phrases from each of the multiple groups as quality improvement requirements.

Abstract: The present invention relates to disorder spectrum diagnosis technology, and more particularly, to a device and method for predicting autism spectrum disorder in infants and young children on the basis of deep learning by using auto-encoder feature representation, wherein autism spectrum disorder can be identified from the speech of infants and young children by using auto-encoder feature representation.

Abstract: The disclosure discloses a magnetic levitation planar motor workbench having a double-layer winding of coarse and fine drive, which belongs to the technical field of planar motors, and includes a stator and a mover. The vertically magnetized permanent magnets and the horizontally magnetized permanent magnets in the stator are arranged in a Halbach arrangement; the mover is located on the enhanced side of the air gap magnetic field above the stator. The mover adopts the double-layer winding of unequal heights, and the height of the upper first winding is smaller than the lower second winding. Each layer of winding may generate driving forces in six directions to achieve six-degree-of-freedom driving.

Abstract: The present invention relates to a transcription regulatory biopart based on the 3?-untranslated region and a metabolic flux control method thereof.

Abstract: [Problem] To provide a pharmaceutical composition that is effective against diseases caused by immune abnormalities. [Solution] The pharmaceutical composition of the present invention comprises chondroitin sulfate, unsaturated fatty acid, vitamin B, and nicotinamide mononucleotide, and can be adjusted in a way to normalize immune abnormalities. Preferably, the aforementioned vitamin B is vitamin B2, vitamin B6 and vitamin B12, and more preferably, the aforementioned vitamin B2 is flavin mononucleotide. Moreover, it is preferable that the composition of the present invention further comprises an amino acid. More preferably, the amino acid is at least one branched chain amino acid selected from valine, leucine and isoleucine.

Abstract: A processing apparatus for treating acid mine wastewater using an activated carbon-loaded microorganism includes a purifying container, a reducing body and an oxygen consumption body. By arranging a fuel gas body, a bottom of a cover disc is in threaded connection with a top of a top pipe after red phosphorus in a bottom cylinder is ignited, air in a feeding chamber enters into the bottom cylinder through gas ports, the oxygen in the air is consumed as the red phosphorus continues to burn, such that an interior of a reaction bin is in an oxygen-free environment, for ease of the microorganism performing the biological reduction reaction on the acid mine wastewater.

Abstract: Provided is a compound with a high biomass ratio (preferably a compound with a biomass ratio of 100%) obtained by using a natural pigment and having excellent color developability and light resistance. The compound is a compound in which a natural pigment of curcumin is bound to an organic acid has a number average molecular weight (Mn) of 400 to 4,950.

Abstract: Polymeric composition having antimicrobial activity, said composition being a polymeric salt of a anionic polystyrene sulfonate and a cationic component, wherein said cationic component is selected from the group consisting of benzalkonium cations and positively charged micellar derivatives comprising benzalkonium cations and a silver complex. The composition may be included in alcoholic solution, that may be used for producing antimicrobial and antiviral coatings for objects and hand sanitizer gels.

Abstract: A perforating, oxygenating and water injection integrated apparatus for mushroom sticks of edible mushrooms includes a support component that can realize lifting motion; a perforating, oxygenating and water injection component includes a needle head fastener, the needle head fastener is connected to the support component via lifting pieces, a plurality of hollow needle heads are fastened to the needle head fastener, and the needle heads are respectively in communication with a water supply pipeline and an oxygen supply pipeline; mushroom stick support frames are installed on the support component, and can expand and contract relative to the support component; the mushroom stick support frames are located below the perforating, oxygenating and water injection component; and mushroom stick grabbing components are fastened to the support component, and includes grabbing mechanisms that grab the mushroom sticks to the mushroom stick support frames and then release.

Abstract: Provided are methods for treating coronavirus infections by administering modified nucleosides, ester and amino acid ester prodrugs of nucleoside, their pharmaceutically acceptable salts, and drug combination thereof, of Formula (I). The compounds, combination, and methods provided are particularly useful for preventing, mitigating, or treating coronavirus infections or cytopathic effects resulting from the replication or reproduction of coronaviruses and their variants, including SARS-CoV-2.

Abstract: A low-power artificial intelligence (AI) processing system combining an artificial neural network (ANN) and a spiking neural network (SNN) includes an ANN including an artificial layer, an SNN configured to output an artificial layer of the ANN as the same operation result, a main controller configured to calculate an ANN computational cost and an SNN computational cost for each artificial layer, an operation domain selector configured to select an operation domain having a lower computational cost by comparing the ANN computational cost and the SNN computational cost, and an equivalent converter configured to form a combined neural network by converting the artificial layer of the ANN into a spiking layer of the SNN according to selection of an SNN operation domain of the operation domain selector. Therefore, there is no loss of accuracy when compared to the ANN.

Abstract: A method, for managing a virtual memory using a first memory including a main memory space and a first swap pool and a second memory including a second swap pool, includes: based on a quality of service (QOS) of tasks or on a system efficiency corresponding to execution of the tasks, adaptively adjusting a distribution state of the first memory or a size of the first swap pool; and based on the adaptively adjusted distribution state of the first memory or the adaptively adjusted size of the first swap pool, performing swap-out of a first page of the tasks from the main memory space to the first swap pool or the second swap pool or performing swap-in of a second page of the tasks from the first swap pool or the second swap pool to the main memory space.

Abstract: The embodiments of the present disclosure provide a method and system for data correction. The method is applied to a medical scanning device including a ray emitting device and a detector. The detector may include a plurality of detector pixel units. The method for data correction may include obtaining spatial positions of the plurality of detector pixel units; determining cosine correction data based on the spatial positions of the plurality of detector pixel units and a spatial position of a focal point of the ray emitting device; determining response data to be corrected of the detector; determining target data by correcting the response data to be corrected using the cosine correction data; determining one or more correction coefficients corresponding to the plurality of detector pixel units based on the target data; and correcting response data of a subject to be detected based on the one or more correction coefficients.

Abstract: Disclosed is a disentangled personalized federated learning method via consensus representation extraction and diversity propagation provided by embodiments of the present application. The method includes: receiving, by a current node, local consensus representation extraction models and unique representation extraction models corresponding to other nodes, respectively; extracting, by the current node, the representations of the data of the current node by using the unique representation extraction models of other nodes respectively, and calculating first mutual information between different sets of representation distributions, determining similarity of the data distributions between the nodes based on the size of the first mutual information, and determining aggregation weights corresponding to the other nodes based on the first mutual information; the current node obtains the global consensus representation aggregation model corresponding to the current node.

Abstract: Embodiments provide is a quantum dot composition that includes quantum dots, a cross-linking agent including four or more moieties represented by Formula A, and a mixed solvent including a first solvent, a second solvent, and a third solvent. The second solvent has a higher boiling point than the first solvent, the second solvent has a lower surface tension than the first solvent, and the third solvent includes a compound represented by Formula 3. Formula A and Formula 3 are explained in the specification: Ar2—R2.

Abstract: A pollution level estimation system is a system that estimates a pollution level at a location to be estimated, the system including an image acquisition unit that acquires an image of the location to be estimated, a detection unit that detects a garbage portion showing garbage and a non-garbage portion not showing garbage at the location to be estimated in the acquired image, and a pollution level estimation unit that calculates areas of the detected garbage portion and non-garbage portion and estimates a pollution level at the location to be estimated on the basis of the calculated area.

Abstract: The invention discloses a preparation method of a carbon nitride (CN) electrode material. The preparation method comprises the following steps: (1) preparing a precursor film: immersing a clean conductive substrate A into a hot saturated CN precursor aqueous solution, then immediately taking out, after the surface being dried, a uniform precursor film layer on the conductive substrate A was formed. This step can be repeated several times to get different layers of precursor film on the substrate A; (2) preparing the CN electrode: the dry precursor film obtained in step (1) was encapsulated in a glass tube filled with N2. Then the glass tube was inserted into a furnace with N2 atmosphere to calcinate. After calcination, the uniform CN film electrode was obtained. The method provided by the invention is simple and easy to implement, and convenient in used equipment, suitable for industrial application and popularization.

Abstract: The present invention provides an autonomous vehicle lane change monitoring method and lane change monitoring system, wherein the lane change monitoring system comprises at least a reference vehicle, a test road, a network communication device, and a control platform, wherein the reference vehicle and the to-be-tested vehicle traveling on the test road, wherein the control platform sends a control instruction to the reference vehicle and the to-be-tested vehicle through the network communication device for the to-be-tested vehicle to change lane on the test road when appropriate, the driving data of the to-be-tested vehicle is transmitted to the control platform through the network communication device, so as for the control platform to evaluate the lane change performance of the to-be-tested vehicle based on the driving data.

Abstract: A test system for an anchoring performance of a full-size rock mass anchor bolt under combined load and relates to the technical field of detection test equipment includes a primary frame, a co-directional pull-twist loading mechanism and a vertical shear loading mechanism. The primary frame includes a dual-parallel horizontal reaction frame and a vertical reaction frame. The co-directional pull-twist loading mechanism and the vertical shear loading mechanism are arranged in synergy with the primary frame. The co-directional pull-twist loading mechanism performs synchronous pull and twist loading for the anchored rock mass and the vertical shear loading mechanism applies a static load or simulates a dynamic load disturbance. The co-directional pull-twist loading mechanism and the vertical shear loading mechanism perform separate loading.

Abstract: A system for partially or fully automated, buoyancy-assisted separation includes and/or interfaces with an automated instrument. Additionally or alternatively, the system can include and/or interface with any or all of: a set of buoyant particles, a set of containers (individually and/or collectively equivalently referred to herein as a consumable), a 1st container management subsystem, a 2nd container management subsystem, a user interface subsystem, and/or any other components. A method for partially or fully automated, buoyancy-assisted separation includes manipulating the set of containers and/or processing the set of materials at a 1st container management subsystem; and manipulating the set of containers and/or processing the set of materials at a 2nd container management subsystem.