Abstract: The present disclosure relates to systems and methods for a self-adjusting corporation-wide discovery and integration feature of a machine learning system that can review a client's data store, review the labels for the various data schema, and effectively map the client's data schema to classifications used by the machine learning model. The various techniques can automatically select the features that are predictive for each individual use case (i.e., one client), effectively making a machine learning solution client-agnostic for the application developer. A weighted list of common representations of each feature for a particular machine learning solution can be generated and stored. When new data is added to the data store, a matching service can automatically detect which features should be fed into the machine-learning solution based at least in part on the weighted list. The weighted list can be updated as new data is made available to the model.

Abstract: The claimed invention provides a method and an apparatus for separating hydrocarbons, wherein the method and the apparatus are used for separating a hydrocarbon having 3 or more carbon atoms including at least propane (hereinafter sometimes called “C3+ NGL”. NGL: Natural Gas Liquid) from liquefied natural gas (LNG).

Abstract: An information processing method, an information processing system, an electronic device, and a computer readable storage medium are provided. The information processing method is applied to a server. The method includes: in response to receiving first import operation information performed by a first account on the design application, synchronizing the electronic file generated by the design application to the first work subspace by using the first plug-in; in response to a second account having first permission to access the first work subspace, receiving a first access request from the second account for accessing the electronic file through the first work subspace; and in response to the second account having second permission to access the electronic file, responding to the first access request. The method can allow a plurality of users to collaborate online, and improve the efficiency of collaboration of the plurality of users.

Abstract: An intelligent question answering method includes: determining, based on received question information, a target object and a target attribute corresponding to the question information; obtaining an answer knowledge path and an external knowledge path of the target object other than the answer knowledge path from a pre-established knowledge graph based on the target object and the target attribute, the answer knowledge path including target context information for describing the target attribute, and the external knowledge path including external context information for describing another attribute; inputting the answer knowledge path and the external knowledge path into a trained neural network model to obtain a reply text, a training corpus of the neural network model during training including at least comment information of the target object; and outputting the reply text.

Abstract: The present disclosure relates to a set of molecular markers. The molecular markers include at least one selected from the group consisting of a mutant of a frizzled class receptor 3 gene (FZD3 gene) and a mutant of a keratin 26 gene (KRT26 gene), where the FZD3 gene is as shown in SEQ ID NO: 1, and the KRT26 gene is as shown in SEQ ID NO: 2; the mutant of the FZD3 gene is formed by mutation of a base T at position 41019916 of a FZD3 gene locus to a base C, and the mutant of the KRT26 gene is formed by mutation of a base G at position 41842284 of a KRT26 gene locus to a base A and/or formed by mutation of a base G at position 41842481 of the KRT26 gene locus to a base C.

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: The present invention relates to a quick-response voltage control method of distribution systems considering multiple participants, comprising a multiple agent system (MAS), which collects the local information of the distribution system controlled by each agent and interacts with the local information collected by each agent, so that voltage-power sensitivity of the distribution system, used for providing the theoretical basis for voltage regulation, is calculated by distributed calculation; and multiple participants, which establish incentive mechanism by DSOs based on the bidding game with imperfect information, and independently decide their own strategies to obtain the voltage regulation subsidy from the DSOs, according to the calculated voltage-power sensitivities, thus provide voltage support for the distribution system in the process of pursuing benefit maximization.

Abstract: Provided are an apparatus and a method for separation and recovery of propane and heavier hydrocarbons from LNG. The apparatus has, from the upstream side toward the downstream side of LNG supply, first column (3) equipped with first column overhead condenser (2), first column bottom reboiler (4) and side reboiler (5), and second column (14) equipped with second column overhead condenser (11) and second column bottom reboiler (15). The first column (3) separates methane and a part of ethane as an overhead vapor and separates remaining ethane and C3 or higher hydrocarbons as a bottom liquid. The second column (14) separates ethane as an overhead vapor and separates C3 or higher hydrocarbons as a bottom liquid.

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: A server system may match a segment of code for a code integration request to metadata about similar segments of code, wherein the metadata qualifies one or more outcomes of previous integration requests. The server may determine usage rights and rules based on the metadata, wherein some of the usage rights and rules have previously have been approved by a multi-approval workflow that enforces a predetermined process to authorize use of the segment of code for code segment integrations. The server may analyze the metadata to predict an integration score based at least in part on the usage rights and rules of the segments of code. If the integration score of the segment of code exceeds a threshold, the system may automatically generate a data structure for deploying the segment of code, wherein the automatically generating the data structure is performed without the multi-approval workflow.

Abstract: The disclosure discloses a preparation method of slowly digestible starch, and belongs to the technical field of starch modification. In the disclosure, ordinary rice starch and corn starch are used as raw materials, and the starch is fully de-clustered through dry-heat amorphization treatment, instead of traditional hydrothermal gelatinization; then ultrasonic treatment is used to induce complexation of amino acids and starch milk to form VI-type crystal; and finally through an extrusion technology, the VI-type crystal is transformed into VII-type crystal, and the content of the slowly digestible starch is significantly increased to 55%-60%. The disclosure is highly efficient, simple and environmentally friendly, and the prepared product can be used as a drug sustained-release carrier or a low-glycemic index food ingredient, and has important practical value for the regulation of chronic diseases such as diabetes and cardiovascular diseases.

Abstract: Systems and methods of imaging a sample using a charged-particle beam apparatus are disclosed. The charged-particle beam apparatus may include a compound objective lens comprising a magnetic lens and an electrostatic lens, the magnetic lens comprising a cavity, and an electron detector located immediately upstream from a polepiece of the magnetic lens and inside the cavity of the magnetic lens. In some embodiments, deflectors may be located between the electron detector and the opening of the polepiece adjacent to the sample to achieve a large field of view. Electron distributions among the detectors can be manipulated without changing the landing energy by changing the potential of the control electrode(s) in the electrostatic objective lens. The electron source can be operated with several discrete potentials to cover different landing energies, while the potential difference between electron source and the extractor is fixed.

Abstract: The present disclosure provides a method and a device for controlling a vehicle. The vehicle is in a vehicle queue, the vehicle queue includes n vehicles {vehicle 0, vehicle 1, . . . , vehicle n?1} arranged in order along a traveling direction, the method is performed by a computing device of the vehicle i, i is from 1 to n?1. A vehicle-following subsystem model is established based on the relative speed and the relative vehicle distance error between the vehicle i and a vehicle i?1, and the acceleration of the vehicle i, a state trajectory of the vehicle-following subsystem model on a ?v-?R plane is determined, a plurality of division graphs of the vehicle i?1 in a plurality of travelling phases are combined to obtain a switching control graph for the vehicle i, and the travelling phase of the vehicle i is adjusted.

Abstract: The disclosure discloses a preparation method of slowly digestible starch, and belongs to the technical field of starch modification. In the disclosure, ordinary rice starch and corn starch are used as raw materials, and the starch is fully de-clustered through dry-heat amorphization treatment, instead of traditional hydrothermal gelatinization; then ultrasonic treatment is used to induce complexation of amino acids and starch milk to form VI-type crystal; and finally through an extrusion technology, the VI-type crystal is transformed into VII-type crystal, and the content of the slowly digestible starch is significantly increased to 55%-60%. The disclosure is highly efficient, simple and environmentally friendly, and the prepared product can be used as a drug sustained-release carrier or a low-glycemic index food ingredient, and has important practical value for the regulation of chronic diseases such as diabetes and cardiovascular diseases.

Abstract: The disclosure discloses a visual multi-object tracking based on multi-Bernoulli filter with YOLOv3 detection, belonging to the fields of machine vision and intelligent information processing. The disclosure introduces a YOLOv3 detection technology under a multiple Bernoulli filtering framework. Objects are described by using anti-interference convolution features, and detection results and tracking results are interactively fused to realize accurate estimation of video multi-object states with unknown and time-varying number. In a tracking process, matched detection boxes are combined with object tracks and object templates to determine new objects and re-recognize occluded objects in real time. Meanwhile, under the consideration of identity information of detected objects and estimated objects, identity recognition and track tracking of the objects are realized, so that the tracking accuracy of the occluded objects can be effectively improved, and track fragments are reduced.

Abstract: Generally, the present disclosure is directed to systems and methods for performing task-oriented response generation that can provide advantages for artificial intelligence systems or other computing systems that include natural language processing for interpreting user input. Example implementations can process natural language descriptions of various services that can be accessed by the system. In response to a natural language input, systems can identify relevant values for executing one of the service(s), based in part on comparing embedded representations of the natural language input and the natural language description using a machine learned model.

Abstract: Systems and methods for microphone degradation detection and compensation are disclosed. For example, microphones of an electronic device may capture audio and generate corresponding audio data, such as during a period of time where only ambient noise is present. Sound intensity level value differences between audio data from the various microphones may be determined and when one or more of the sound intensity level value differences satisfies a threshold amount, the microphone associated with the variant sound intensity level value may be determined to be degraded. The sound intensity level value difference may be compensated for, such as by utilizing sound boosting techniques and/or modifying parameters of a beamforming component.

Abstract: The embodiments of the present disclosure relate to a fixing apparatus of a wireless charger. According to an embodiment, the fixing apparatus of the wireless charger comprises: a first support; a second support opposite to the first support; a third support disposed between the first support and the second support and used to fix a mobile device to the wireless charger; and an elastic component connected to the first support and the second support respectively, wherein the elastic component is configured to enable the fixing apparatus to move between an initial position and a fixed position. The fixing apparatus of the wireless charger provided in the embodiments of the present disclosure have many advantages such as convenient usage, simple production processes, and low production costs, etc.

Abstract: Systems and methods of providing a probe spot in multiple modes of operation of a charged-particle beam apparatus are disclosed. The method may comprise activating a charged-particle source to generate a primary charged-particle beam and selecting between a first mode and a second mode of operation of the charged-particle beam apparatus. In the flooding mode, the condenser lens may focus at least a first portion of the primary charged-particle beam passing through an aperture of the aperture plate to form a second portion of the primary charged-particle beam, and substantially all of the second portion is used to flood a surface of a sample. In the inspection mode, the condenser lens may focus a first portion of the primary charged-particle beam such that the aperture of the aperture plate blocks off peripheral charged-particles to form the second portion of the primary charged-particle beam used to inspect the sample surface.

Abstract: The present disclosure relates to systems and methods for an adaptive pipelining composition service that can identify and incorporate one or more new models into the machine learning application. The machine learning application with the new model can be tested off-line with the results being compared with ground truth data. If the machine learning application with the new model outperforms the previously used model, the machine learning application can be upgraded and auto-promoted to production. One or more parameters may also be discovered. The new parameters may be incorporated into the existing model in an off-line mode. The machine learning application with the new parameters can be tested off-line and the results can be compared with previous results with existing parameters. If the new parameters outperform the existing parameters as compared with ground-truth data, the machine learning application can be auto-promoted to production.