Abstract: An optical lens has an optical axis. The optical lens includes a lens barrel, a first lens element, a lens element group, and an optical element. The lens barrel has a first opening and a second opening opposite to each other, and the first opening is smaller than the second opening. The first lens element abuts against the lens barrel. The lens element group is fitted with the first lens element. The optical element includes a fixing portion and a bearing portion connected to each other. The fixing portion abuts against the lens barrel, the bearing portion abuts against the lens element group, and the fixing portion has a protrusion extending toward a direction of the first lens element. The protrusion is positioned between the lens barrel and the lens element group in a radial direction.

Abstract: A grafted polypropylene resin is prepared by a grafting reaction of a polar monomer capable of absorbing microwave so as to raise its temperature in a microwave field to more than 200° C. and a solid polypropylene resin using microwave irradiation without adding an initiator. The polar grafted polypropylene resin that does not contain initiator residues and does not have a significant reduction in molecular mass compared with a resin before grafting is obtained.

Abstract: A continuous operation method is employed for the microwave high-temperature pyrolysis of a solid material containing an organic matter. The method includes the steps of mixing a solid material containing an organic matter with a liquid organic medium; transferring the obtained mixture to a microwave field; and in the microwave field, continuously contacting the mixture with a strong wave absorption material in an inert atmosphere or in vacuum. The strong wave absorption material continuously generates a high temperature under a microwave such that the solid material containing an organic matter and the liquid organic medium are continuously pyrolyzed to implement a continuous operation.

Abstract: An over-current protection circuit for composite transistor devices is provided, connected between an input terminal and a load, and including: a control-terminal voltage-generation module whose output voltage varies with its input voltage when driven by a first voltage, wherein the output voltage of the control-terminal voltage-generation module serves as a control-terminal voltage; a composite transistor device, connected between the control-terminal voltage-generation module and the load, configured to conduct in response to the control-terminal voltage and a second voltage to generate an output current flowing through the load; and an over-current protection module, connected between the composite transistor device and the load, wherein when the output current of the composite transistor device exceeds a preset limit, a clamping voltage is applied to the composite transistor device by the over-current protection module to limit a current flowing through the composite transistor device, thereby limiting th

Abstract: A processing method includes responding to a trigger condition being satisfied, starting a first application, and controlling the first application to perform a target operation corresponding to a target request to implement a first function different from a second function. The first application runs in a pre-operating system environment. The second function includes a function for initializing the pre-operating system environment. Data used to implement the first function and the second function is stored in different storage locations.

Abstract: An over-current protection circuit for composite transistor devices is provided, connected between an input terminal and a load, and including: a control-terminal voltage-generation module whose output voltage varies with its input voltage when driven by a first voltage, wherein the output voltage of the control-terminal voltage-generation module serves as a control-terminal voltage; a composite transistor device, connected between the control-terminal voltage-generation module and the load, configured to conduct in response to the control-terminal voltage and a second voltage to generate an output current flowing through the load; and an over-current protection module, connected between the composite transistor device and the load, wherein when the output current of the composite transistor device exceeds a preset limit, a clamping voltage is applied to the composite transistor device by the over-current protection module to limit a current flowing through the composite transistor device, thereby limiting th

Abstract: A computerized method, system and computer program product for building a dialogue flow. One embodiment of the method may comprise receiving an input document, the input document comprising content, and generating, by a question-answer pipeline, a plurality of question-answer pairs from the content of the input document. For each question-answer pair, the method may further comprise feeding the question of the question-answer pair into an intent of a dialogue flow structure, and feeding the answer of the question-answer pair as one response of the intent. The method may further comprise tagging each of the plurality of question-answer pairs with a corresponding document section index, reading, by a conversational agent, the input document to a user, pausing the reading when the conversational agent reaches one of the document section indices in the input document, and in response, reading the question corresponding to the document section indicia to the user.

Abstract: A computerized method, system and computer program product for automatically generating question and answer pairs. One embodiment of the method may comprise receiving an input document, the input document comprising content. The method may further comprise generating, by a first machine learning model from the input document, a plurality of answers based on the content of the input document, and generating, by a second machine learning model from the input document, a question for each of the plurality of answers to form a plurality of question-answer pairs. The method may further comprise ranking, by a third machine learning model, the plurality of question-answer pairs, selecting a predetermined number of highest ranked question-answer pairs, and returning the predetermined number of highest ranked question-answer pairs to a user.

Abstract: A temperature measuring circuit, measuring apparatus and a measuring method thereof relating to the field of electronic circuits. The temperature measuring circuit includes control unit, wherein the control unit includes a first current output interface, a second current output interface, a first input/output interface, a second input/output interface, and a third input/output interface. Further, the first current output interface and the first input/output interface of the control unit are respectively electrically connected to a first interface of a temperature sensor; the second current output interface and the second input/output interface of the control unit are respectively electrically connected to a second interface of the temperature sensor; and the third input/output interface of the control unit is electrically connected to a third interface of the temperature sensor.

Abstract: A control method and a control device for an air conditioner, the control method including: determining a current control mode of the air conditioner (S202), the control mode including at least a screen-independent mode configured to represent a mode, in which the air conditioner is independent of a display screen but can operates normally; when the control mode is the screen-independent mode, controlling the air conditioner to operate according to a current operating state (S204).

Abstract: Mechanisms are provided to implement a brand personality inference engine. The mechanisms receive crowdsource information and extract features associated with a brand from the crowdsource information. The crowdsource information comprises natural language content submitted by a plurality of providers to a crowdsource information source. The mechanisms analyze features associated with the brand in accordance with a brand personality model configured to predict a brand personality for the brand based on the features associated with the brand. The mechanisms generate an inferred brand personality data structure, representing a perceived brand personality of providers providing the crowdsource information, and output an output indicating aspects of the perceived brand personality based on the inferred brand personality data structure.

Abstract: Provided is a rotating spray device for a lubricant, wherein the rotating driving mechanism rotates to drive the rotating spindle, and the rotating spindle drives the upper and lower rotating spray trays to rotate, and compressed air and a lubricant are respectively fed into each pitch circle closed cavity formed between each of the rotating spray trays and the spray tray main body, and then are sprayed out through the nozzles on the rotating spray trays for uniform spray coating. The device can spray the same and uniform dosage of the lubricant to the working surfaces of the maximum pitch circles of upper and lower dies, play a role of uniform forging lubrication and reduce the forging defects.

Abstract: A computer-implemented method for accurately identifying related incidents using textual data and contextual data includes receiving incident data associated with a computing system, wherein the incident data further comprises textual data and contextual data associated with the incident data. One or more relevant incidents associated with the received incident data is identified by applying an artificial intelligence model on the textual data associated with the received incident data. The identified one or more relevant incidents associated with the received incident data is provided to a site engineer device and the provided one or more relevant incidents is resolved.

Abstract: Embodiments for generating entity recognition models are provided. A data set including a plurality of entity references and a plurality of entity types are received. The plurality of entity types are divided into a plurality of entity type groups. The data set is divided into a plurality of data subsets. Each of the plurality of data subsets is associated with a respective one of the plurality of entity type groups. A plurality of entity recognition models are trained. Each of the plurality of entity recognition models is trained based on a respective one of the plurality of entity type groups and a respective one of the plurality of data subsets. A combined entity recognition model is generated based on the plurality of entity recognition models.

Abstract: Methods and apparatus for high speed location determinations are disclosed. An example apparatus includes at least two coils arranged along a zone of interest to generate a magnetic field, and a sensor to measure a change in the magnetic field associated with the at least two coils as an object of interest moves within or into the zone of interest. The example apparatus also includes a processor to determine a position of the object of interest based on the measured change.

Abstract: A system configured to predict fine-grained affective states. The system comprising a processor configured to execute instructions to create training data comprising content conveying emotions, and to create a trained model by performing an emotion vector space model training process using the training data to train a model using a feed forward neural network that converts discrete emotions into emotion vector representations. The system uses the trained model to predict fine-grained affective states for text conveying an emotion.

Abstract: The present invention provides the preparation processes for several crystal forms of the compound 17beta-Neriifolin (17bNF) and use thereof in anti-tumor applications. The present invention provides preparation processes for four kinds of non-solvated crystal forms, amorphous powders and eleven kinds of solvated crystalline solids, including ethanol-solvated ones, of 17bNF that are not present in nature, and the identification and characterization of these crystal forms by crystallographic research methods such as X-ray powder diffraction. In addition, through vivo anti-tumor experiments with five of the crystal forms in nude mice, we provide anti-tumor and anti-cancer applications of the crystal forms of 17bNF.

Abstract: A computer-implemented method for fine-grained affective states prediction. The computer-implemented method creates training data comprising content conveying emotions. The method creates a trained model by performing an emotion vector space model training process using the training data to train a model using a feed forward neural network that converts discrete emotions into emotion vector representations. The trained model can be used to predict fine-grained affective states for text conveying an emotion.