Abstract: A chamber adaptor and a manufacturing method thereof. The chamber adaptor includes: a housing provided with a gas inlet, a gas outlet, a chamber inlet, and a chamber outlet, where the gas inlet is configured to be removably connected to a main board device, the gas outlet is configured to be removably connected to a respiratory pathway, the chamber inlet is configured to be removably connected to an input end of a chamber for storing liquid and the chamber outlet is configured to be removably connected to an output end of the chamber, the chamber adaptor further includes a control circuit and at least one sensing apparatus, where the at least one sensing apparatus is arranged on one end of the control circuit closer to the gas outlet and extends into a gas output channel.

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: Disclosed is a detachable modularized test platform. The detachable modularized test platform includes a gantry, a control box and a jig box, where a test area is arranged on the jig box, an air cylinder is arranged on the gantry, a control assembly is mounted in the control box, and a test assembly is mounted in the jig box; during testing, a sample to be tested is placed on the test area, and the upper computer sends an instruction to control the air cylinder to extend a driving rod to move to the sample to be tested; and the upper computer sends the instruction to the control assembly in the control box, to complete testing of the sample, and output and upload test data to a server for saving. The present invention employs a modularized structure, which reduces a size, detection is convenient, and applicability is high.

Abstract: A method, including: identifying static application features of an application; identifying resource access features of the application; labeling a translation lookaside buffer (TLB) miss threshold of a runtime feature of the application; determining utilization of larger pages during the runtime based on the TLB miss threshold; and setting the TLB miss threshold based on the determined utilization of the larger pages.

Abstract: The embodiments of the present disclosure provide methods and systems for energy measuring based on natural gas data of a smart gas meter, including establishing the gas IoT. The object platform obtains consumed gas volume data and location data of the smart gas meter as first data and second data, and sending them to the management platform through the sensor network platform. The management platform generates consumed gas preprocessing data based on the first data and the second data, and generates energy measurement data after performing the computation outside the gas IoT on the consumed gas preprocessing data by the cloud platform outside the gas IoT. The management platform sends the energy measurement data to the user platform configured in a regional pipeline network center through the service platform. The user platform performs gas energy measurement of the smart gas meter based on the energy measurement data.

Abstract: Embodiments of this specification provide methods and apparatuses for performing model ownership verification based on an exogenous feature. An implementation of the methods includes: selecting initial samples from an initial sample set to form a selected sample set, processing sample data of the initial samples to obtain transform samples that form a transform sample set, training a meta-classifier based on a target model, an auxiliary model, and the transform sample set, inputting data associated with a suspicious model into the meta-classifier, and determining, based on an output result of the meta-classifier, whether the suspicious model is stolen from a deployment model, wherein the deployment model has feature knowledge of the exogenous feature.

Abstract: A method for managing energy-saving early warning of a smart gas flowmeter is provided. The method is executed by a smart gas management platform. The method comprises obtaining a remaining power of the smart gas flowmeter, determining a confidence level of the remaining power based on at least environmental data, determining a calibrated power by calibrating the remaining power based on the confidence level, determining whether to issue a power alert to a gas user based on the calibrated power, operation data of the smart gas flowmeter, and at least one reference correspondence. The reference correspondence represents a relationship between an operation behavior of the smart gas flowmeter and a power consumption. The method also comprises generating an energy-saving management and operation scheme of the smart gas flowmeter in response to a determination that the power alert is issued to the gas user.

Abstract: The present disclosure provides use of Clostridium ghonii combined with a tumor angiogenesis inhibitor in preparing a pharmaceutical product for treating a tumor. The present disclosure further provides a drug for treating a tumor, where the drug includes active ingredients of Clostridium ghonii and a tumor angiogenesis inhibitor.

Abstract: Disclosed is a test box with circuit boards assembled by means of guide rails. The test box includes a box body, a guide rail assembly, a main circuit board, functional circuit boards and an adapter circuit board are arranged in the box body, the functional circuit boards and the main circuit board are perpendicularly in snap fit with the guide rail assembly and are in plug-in connection to the main circuit board by means of terminals, and the adapter circuit board is installed on the inner side wall of the box body and is in plug-in connection to the functional circuit boards by means of terminals. According to the invention, the circuit boards are installed by means of the guide rails, installation procedures are simplified, assembly efficiency is improved, assembly difficulty is reduced, and a space utilization rate is improved.

Abstract: The disclosure provides a display substrate, a manufacturing method thereof and a display device. The display substrate has a plurality of subpixel regions. The display substrate includes a base substrate and a pixel definition layer on the base substrate. The pixel definition layer defines a plurality of subpixel openings and each of the subpixel openings occupies one subpixel region. The display substrate further includes a functional medium layer on a side of the pixel definition layer away from the base substrate. The functional medium layer includes a first portion covering side surfaces of the subpixel opening and a second portion covering a top surface of the pixel definition layer. In the same subpixel region, surface energy of the first portion is greater than surface energy of the second portion.

Abstract: Various embodiments of the present disclosure improve existing multi-layer and other network technologies by routing and processing client requests that require machine learning based on the machine learning capabilities of each network device and/or other computer resource characteristics of different network devices. This ensures that network latency and throughput, among other computer resource consumption characteristics, will be improved as machine learning processing can occur at the most suitable network device or be distributed among various suitable network devices.

Abstract: A device for assembly and disassembly is provided. The device includes a support assembly, a bearing assembly, and a latching assembly. The support assembly includes a first support member and a locking assembly, the locking assembly includes a locking driver and a locking connection structure, and the locking connection structure is configured to support a negative pressure assembly. The latching assembly includes a first connection structure, a second connection structure, and a movable connection structure, wherein the first connection structure is latched with the second connection structure through the movable connection structure. The locking connection structure is separated from the negative pressure assembly while the movable connection structure is latched with the second connection structure, or the locking connection structure is connected to the negative pressure assembly while the movable connection structure is unlatched from the second connection structure.

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Abstract: Disclosed herein are novel compounds for treating apicomplexan parasite related disorders, methods for their use; cell line and non-human animal models of the dormant parasite phenotype and methods for their use in identifying new drugs to treat apicomplexan parasite related disorders, and biomarkers to identify disease due to the parasite and its response to treatment.

Abstract: The embodiments of the present disclosure provide method and Internet of Things (IoT) systems for predicting maintenance materials of a smart gas pipeline network. The method may be implemented based on a smart gas safety management platform of an Internet of Things (IoT) system for predicting maintenance materials of a smart gas pipeline network. The method may comprise: obtaining a pipeline network feature of a gas pipeline network; predicting fault probabilities of one or more point positions of the gas pipeline network based on the pipeline network feature, the fault probabilities including probabilities of one or more preset fault types of faults occurring at the point positions; and determining demand for the maintenance materials based on the fault probabilities of the one or more point positions.

Abstract: This application provide a data management method for a blockchain system, a medium, and an electronic device. The system includes an accounting node sub-network and a service node sub-network. The method includes: adding, after an accounting node generates a first data block, first key information used for verifying a block header of a second data block generated after the first data block to a block header of the first data block; generating a signature corresponding to the first data block, and adding the signature corresponding to the first data block to the block header of the first data block; and releasing the block header of the first data block to the service node sub-network, to cause a service node to verify the signature included in the block header of the first data block, and obtaining the first key information after a successful verification to verify the block header of the second data block.

Abstract: Detecting analytes using proximity-induced tagmentation, strand invasion, restriction, or ligation is provided herein. In some examples, detecting an analyte includes coupling a donor recognition probe to a first portion of the analyte. The donor recognition probe includes a first recognition element specific to the first portion of the analyte, a first oligonucleotide corresponding to the first portion, and a transposase coupled to the first recognition element and the first oligonucleotide. An acceptor recognition probe is coupled to a second portion of the analyte. The acceptor recognition probe includes a second recognition element specific to the second portion of the analyte and a second oligonucleotide coupled to the second recognition element and corresponding to the second portion. The transposase is used to generate a reporter polynucleotide including the first and second oligonucleotides. The analyte is detected based on the reporter including comprising the first and second oligonucleotides.

Abstract: The present disclosure provides a method and a system for regulating pipeline network maintenance based on a smart gas Internet of Things (IoT). The method includes obtaining gas data of at least one faulty pipeline, generating at least one set of candidate maintenance schemes based on the at least one faulty pipeline, determining a recommended maintenance approach for the at least one faulty pipeline based on the at least one set of candidate maintenance schemes and the gas data, determining a set of monitoring point locations based on the recommended maintenance approach, and determining a regulation parameter of a regulation device based on monitoring data of the set of monitoring point locations. The system includes a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas sensing network platform, and a smart gas object platform interacting in sequence.

Abstract: A method for determining tobacco-specific nitrosamines (TSNAs) in cigarette smoke using one-step clean-up coupled with LC-MS/MS is provided, including the following steps: collecting a particulate matter of mainstream cigarette smoke with a Cambridge filter pad, mixing the particulate matter of mainstream cigarette smoke, an internal standards solution and water in a 50 mL plastic centrifuge tube, and vortexing the resulting mixture at room temperature to allow extraction; transferring an extraction solution after filtration to a new centrifuge tube, adding dichloromethane, and vortexing the resulting mixture; centrifuging to collect a dichloromethane extraction solution in a lower layer to another centrifuge tube, and placing the centrifuge tube in a water bath to remove dichloromethane; dissolving the resulting extraction solution in water, and transferring the resulting solution to an autosampler vial for LC-MS/MS analysis.

Abstract: The present invention relates to the technical field of mine fire prevention and extinguishing, in particular to a liquid nitrogen direct injection and low-temperature foaming intelligent filling system based on mine fire area characteristics and an application method, comprising a liquid nitrogen storage tank, a liquid nitrogen direct injection system and a low-temperature foaming system, wherein the liquid nitrogen storage tank communicates with a liquid nitrogen pressurizing device through a main pipeline; a temperature control unit is arranged on the main pipeline; and the liquid nitrogen pressurizing device is connected with the liquid nitrogen direct injection system and the low-temperature foaming system, respectively, liquid nitrogen is directly injected into a foam liquid, to prepare a low-temperature foam type fire preventing and extinguishing material by means of forced convection, membrane boiling, explosion boiling and nucleate boiling between the liquid nitrogen and water.