Abstract: The application discloses a processing method for graphite acid purification wastewater which comprises processing steps of neutralization and precipitation preprocessing, supernatant electrically distilling and vaporizing, electric energy recycling, condensate recycling and vaporization residue regularly discharging. The processing method performs neutralization and precipitation preprocessing to obtain neutralized supernatant, pumps the supernatant into an electric distiller to be vaporized and obtain electric energy for recycling through steam turbine, and acquires vaporization condensate by residual heat exchange. The vaporization condensate reaches the standard of graphite acid purification impurities such as fluorine, chlorine, aluminum, silicon, iron, magnesium, copper, and zinc and the wastewater discharge standard. The steam heat energy can be recycled and transformed into electric energy to save processing cost.

Abstract: The present invention relates to the field of data identification, and in particular to two-dimensional code technology. Provided in the present invention is a two-dimensional code-based file acquisition method, comprising: step 1, parsing a two-dimensional code to acquire two-dimensional code encoded data, wherein the encoded data comprises a first unique value, encrypted data, and signature data; step 2, verifying the signature data; step 3, decrypting the encrypted data to acquire a file address and an. nth data segment In; step 4, acquiring an. encrypted file according to the nth data segment In and the file address; step 5, verifying the encrypted file according to the first unique value to acquire a decrypted file. The present invention solves the technical problems of easy tampering and poor security when data is stored and acquired on the basis of a two-dimensional code, and implements secure and reliable information protection.

Abstract: Systems and methods involving nanomaterial-based electrodes, such as supercapacitor and battery electrodes that can be flexible, are described.

Abstract: The present disclosure provides a method for separating a neural crest derived cell from peripheral blood. In the present disclosure, a mononuclear cell is separated from the peripheral blood and then directly cultured, thereby maximizing use of a neural crest stem cell with a differentiation potential to avoid loss of the neural crest stem cell. In the method of the present disclosure, a sample to be separated is derived from the peripheral blood. The method shows less trauma and low cost. Most importantly, compared to extracting the neural crest derived cell from tissues, the neural crest derived cell extracted from the peripheral blood can be used clinically as a type of biomarker.

Abstract: A scheduling electronic device is used for selecting a candidate time-frequency resource set required for communication of a predetermined electronic device in the group to which the scheduling electronic device belongs; and the scheduling electronic device comprises a processing circuit, and the processing circuit is configured to: receive, from at least one member electronic device located in an overlapping region between said group and other groups, a cooperative sensing result obtained by sensing a time-frequency resource by the at least one member electronic device during at least a portion of a cooperative resource sensing window, so as to assist the scheduling electronic device in selecting a candidate time-frequency resource set, the cooperative resource sensing window being a time period for the at least one member electronic device to perform the assistance so as to sense the time-frequency resource.

Abstract: The present invention relates to a solid pet food component which comprises a mixture of curdlan and a protein and which has a moisture content of at least 40%. The present invention also relates to a wet pet food which contains a solid, pet food components, as described above. The present invention also related to a method of making the solid pet food component and a method of making the wet pet food, as described above.

Abstract: Disclosed are a method and a system for bug localization based on a code knowledge graph, including the steps of: extracting source codes from a Git version control system, parsing in the source codes to generate an abstract syntax tree (AST), constructing a code knowledge graph, preprocessing the summary and description of a bug report crawled from a Bugzilla bug tracking system, and performing the named entity recognition to identify bug-related entity sequence, converting the code knowledge graph and the bug-related entity sequence into vector representation through an embedding algorithm, calculating cosine similarities of vector representations between the code knowledge graph and the bug entity sequence, ranking the similarities from high to low to generate a list of suspicious methods, filtering redundant information in the source codes, identifying bug-related entity elements in the bug report, and reserving the bug-related information.

Abstract: A HARQ feedback method is provided and includes: configuring, by a base station, a first timing parameter for a user equipment (UE), wherein the first timing parameter is configured to indicate a time interval between a first time unit for the UE receiving a downlink transmission and a second time unit for the UE transmitting a HARQ feedback signal of the downlink transmission to the base station; determining, by the base station, that a collision occurs in an attempt to transmit the HARQ feedback signal by the UE; and transmitting, by the base station, downlink control information (DCI), which carries a second timing parameter, to the UE, wherein the second timing parameter is different from the first timing parameter and is configured to adjust the second time unit to avoid the collision. The present disclosure further provides SPS methods, related paging apparatuses and non-transitory storage mediums.

Abstract: A fog-based self-powered system for collecting atmospheric water and generating electricity is presented. The system includes a mesh-based fog harvester for accumulating water droplets from atmospheric moisture. A droplet distributor receives accumulated water droplets from the mesh-based fog harvester. A droplet electrical generator harvests energy from the water droplets accumulated in the droplet distributor. The droplet electrical generator includes an electret surface for receiving the water droplets from the droplet distributor and at least two electrodes. A water reservoir receives water droplets from the droplet electrical generator.

Abstract: An antimicrobial peptide composition comprising an antimicrobial peptide, at least one stabilizer, and a buffer system, the mass concentration of the antimicrobial peptide in the composition being 0.1‰ to 10‰; and the buffer system being a phosphate buffer system or an acetate buffer system; the amino acid sequence of the antimicrobial peptide being: KWKSFLKTFaAbKTVLHTALKAISS. The antimicrobial peptide composition is a broad-spectrum anti-infective drug suitable for various primary skin infections caused by pathogenic bacteria, especially drug-resistant bacteria, and secondary skin infections such as an eczema co-infection and an ulcer co-infection, including persistent infectious diseases such as diabetic foot, burn wound infections, and decubitus ulcer infections, and the composition has broad application prospects.

Abstract: A server system can receive an input identifying a problem to generate a solution using a machine-learning application. The method selects a machine-learning model template from a plurality of templates based at least in part on the input. The method analyzes one or more formats of the customer data to generate a customer data schema based at least in part a data ontology that applies to the identified problem. The method determines whether the customer data schema is misaligned with one or more key features of the selected machine-learning model template. Based on this determination, the method analyzes the metadata for the selected machine-learning model template to determine what additional information is required to re-align the customer data with the data expectations. The method can include gathering the addition information required to re-align the customer data with the data expectations of the selected machine-learning model template.

Abstract: The present disclosure relates to systems and methods for an intelligent assistant (e.g., a chatbot) that can be used to enable a user to generate a machine learning system. Techniques can be used to automatically generate a machine learning system to assist a user. In some cases, the user may not be a software developer and may have little or no experience in either machine learning techniques or software programming. In some embodiments, a user can interact with an intelligent assistant. The interaction can be aural, textual, or through a graphical user interface. The chatbot can translate natural language inputs into a structural representation of a machine learning solution using an ontology. In this way, a user can work with artificial intelligence without being a data scientist to develop, train, refine, and compile machine learning models as stand-alone executable code.

Abstract: A hybrid automatic repeat request (HARQ) transmission enhancement method includes receiving a downlink transmission sent by a base station, when an abnormal process is needed in sending of a HARQ feedback signal for the downlink transmission, determining whether the HARQ feedback signal satisfies a condition for postponing feedback, and if yes, selecting a physical uplink shared channel (PUSCH) after an originally scheduled sending time unit of the HARQ feedback signal to transmit at least part of the HARQ feedback signal.

Abstract: A method for producing entacapone tablets, including auxiliary materials passing screening, batching, mixing, sieving, mixing, drying granulation, sieving, mixing with magnesium stearate and pressing finished products. Mannitol, a supplementary material, was prepared by following steps: the mixture of fructose and glucose was hydrolyzed from sucrose; The glucose obtained was further hydrolyzed to obtain a mixture of mannose, fructose and glucose; The mannitol product is obtained by mixing the mannose, fructose and glucose obtained in steps 1 and 2, hydrogenation, refining, concentration, crystallization and pressure filtration; The finished mannitol product is dried and crushed by mixing with water mixed with binder. The compressed mannitol particles with a particle size of 200-350 um are obtained, which are used as auxiliary materials for the preparation of entacapone tablets.

Abstract: This disclosure relates to a polycrystalline diamond (PCD) body comprising a PCD material formed of intergrown diamond grains forming a diamond network, and an iron-containing binder.

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

Abstract: An electric drive assembly system includes a housing, including a body and a cover. Disposed in the housing is an electric machine including a rotor shaft, a gearbox assembly including a coaxially arranged gear input shaft connected to the rotor shaft to receive a torque from the electric machine. An electric machine control module is configured to control the electric machine, the electric machine control module being installed onto a first wall of the body by stacking over the electric machine and/or gearbox assembly in the direction transverse to the gear input shaft. An electric connection assembly is configured to electrically connect the electric machine control module to a stator of the electric machine. The electric connection assembly is provided to electrically connect to the stator of the electric machine near a drive end of the rotor shaft of the electric machine.

Abstract: An electric drive assembly system, a vehicle and a method for assembling an electric drive assembly system. The electric drive assembly system includes a housing including a main body and a cover. Disposed in the housing is an electric machine including a rotor shaft and a gearbox assembly which includes a gear input shaft connected to the rotor shaft and disposed coaxially therewith, to receive torque from the electric machine. An electric machine control module is configured to control the electric machine, and superposed with the electric machine and/or the gearbox assembly in a direction transverse to the gear input shaft. An electrical connection assembly, configured to electrically connect the electric machine control module to a stator of the electric machine.

Abstract: The present disclosure relates to systems and methods for an intelligent assistant (e.g., a chatbot) that can be used to enable a user to generate a machine learning system. Techniques can be used to automatically generate a machine learning system to assist a user. In some cases, the user may not be a software developer and may have little or no experience in either machine learning techniques or software programming. In some embodiments, a user can interact with an intelligent assistant. The interaction can be aural, textual, or through a graphical user interface. The chatbot can translate natural language inputs into a structural representation of a machine learning solution using an ontology. In this way, a user can work with artificial intelligence without being a data scientist to develop, train, refine, and compile machine learning models as stand-alone executable code.