Abstract: A lens plate has an array of lenslets. A first surface comprises a plurality of individual cells, each cell delimiting one side of a respective lenslet of the array. A second opposite surface comprises a set of grooves, each groove delimiting a second, opposite side, of a sub-array of the lenslets of the array of lenslets. The array of lenslets is a circular array comprising a plurality of concentric rings. Each ring comprises a plurality of straight segments, and each segment comprises multiple said lenslets arranged in a row. The lens plate design thus combines grooves on one side which cover multiple lenslets and a cellular lens structure on the opposite side.

Abstract: An electric wheel assembly with an integrated hub motor includes a tire, a rim, a hub, a planetary reducer, an inner rotor motor, a braking system and a steering knuckle assembly. The inner rotor motor is provided in the rim, and its rotor is hollow and fitted over a motor rotor holder. An end of the motor rotor holder is mounted with a sun gear to transmit power to the planetary reducer, and the other end thereof is mounted with a brake disc. The planetary reducer employs a two-stage planet gear. The planetary reducer further includes a planet carrier integrated with the hub, serving as the reducer's power output end. The hub and the knuckle sleeve pass through the hollow motor rotor holder, and hub bearings are arranged thereamong. The inner rotor motor and the planetary reducer can employ an integrated direct oil cooling technology.

Abstract: A touchscreen of an electronic device includes a first region and a second region, which each correspond to a baseline, and the baseline corresponds to a capacitance value when a region corresponding to the baseline is not touched. A method for controlling the touchscreen includes that the electronic device receives a first touch signal in a first region on the touchscreen, and the electronic device maintains a baseline corresponding to the first region unchanged in response to the first touch signal in the first region.

Abstract: A semantic understanding method and apparatus, and a device and a storage medium are provided. The method includes: acquiring a recognition character string that matches speech information; acquiring, from an entity vocabulary library, at least one entity vocabulary respectively corresponding to each recognition character in the recognition character string; and according to a situation of each entity vocabulary hitting the recognition character string, determining a matching entity vocabulary as a semantic understanding result of the speech information. By means of the method, insofar as a completely matching entity vocabulary is not acquired, a matching entity vocabulary can still be determined according to an entity vocabulary library, and semantic information of speech is thus accurately understood; and the method also has relatively high fault tolerance for situations such as wrong words, added words, and omitted words, such that the semantic understanding accuracy of speech information is improved.

Abstract: Battery packs according to some embodiments of the present technology may include a longitudinal beam. The packs may include a plurality of battery cells disposed adjacent the longitudinal beam. Each battery cell may be characterized by a first surface, and a second surface opposite the first surface. Each battery cell may be characterized by a third surface extending vertically between the first surface and the second surface. The first surface may face the longitudinal beam, and battery terminals may extend from the third surface. Each battery cell may be characterized by a fourth surface opposite the third surface. The packs may include a lid coupled with the first surface of each battery cell of the plurality of battery cells. The packs may include a base coupled with the second surface of each battery cell of the plurality of battery cells.

Abstract: A handheld exhaled gas collection device includes a gas access mechanism, a gas detection mechanism, a rotary valve and a gas collection mechanism connected in sequence, as well as sensors, a main processor and a blowback mechanism. The sensors are disposed on an outer side of the gas detection mechanism and are used to detect state parameters of an inhaled gas and transmit the collected data to the main processor. The blowback mechanism is used to inhale outside air and discharge same from the gas access mechanism by means of an exhaled gas path. The main processor can control the rotary valve to rotate, thereby changing the on-off state of the exhaled gas path. The gas access mechanism is used to filter water vapor in exhaled gas. The gas collection mechanism is used to externally connect a gas collection container so as to complete the collection of exhaled gas.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Abstract: A question answering method includes obtaining target question information; determining a candidate question and answer pair based on the target question information; calculating a confidence of answer information in the candidate question and answer pair, where the confidence is used to indicate a probability that question information in the candidate question and answer pair belongs to an answer database or an adversarial database; determining whether the confidence is less than a first preset threshold; and when the confidence is less than the first preset threshold, outputting information indicating incapable of answering.

Abstract: Disclosed are a language representation model system, a language representation model pre-training method, a natural language processing method, an electronic device, and a storage medium. The language representation model system includes: a word granularity language representation sub-model based on segmentation in units of words, and a phrase granularity language representation sub-model based on segmentation in units of words. The word granularity language representation sub-model is configured to output, based on a sentence segmented in units of words, a first semantic vector corresponding to a semantic expressed by each segmented word in the sentence. The phrase granularity language representation sub-model is configured to output, based on the sentence segmented in units of phrases, a second semantic vector corresponding to a semantic expressed by each segmented phrase in the sentence.

Abstract: A virtual character selection method and apparatus, a terminal, and a storage medium, relating to the field of computer and Internet technologies. The method includes: displaying a character selection interface of a competitive battle, displaying a remaining duration of a character selection phase in a character selection interface, and displaying character information of a first virtual character selected by a system for a first user in the character selection based on the remaining duration meeting a first condition and the first user not selecting the virtual character.

Abstract: Tires and tire components are provided having improved fire properties, as well as the vulcanizable compositions for making the tires and tire components. A vulcanizable composition is provided that includes at least one vulcanizable polymer, a curative, a halogenated hydrocarbon, and expandable graphite. The tires and tire components have improved properties including one or more of improved flame retardancy, reduced smoke density and/or toxicity, and reduced heat release.

Abstract: A lighting strip has a printed circuit board with one or more perforated lines at which the printed circuit board length may be adjusted by breaking off an end portion of the printed circuit board. A first layer has a first set of conductive tracks and a second layer has a second set of conductive tracks corresponding to the first set of conductive tracks. Each conductive track of the second set is vertically aligned and positioned over the corresponding conductive track of the first set. An array of contact terminals is provided on a third layer. A plurality of lighting elements is disposed along the lighting strip, each electrically connected to a respective pair of the contact terminals. The lighting strip further comprises a set of vias connecting each conductive track of the first set to the corresponding conductive track of the second set.

Abstract: Described herein are techniques and systems for retrieval of content using link-based searches. Embodiments herein include receiving, by a server, a request including a hyperlink directed to a source content. The server may determine whether a database associated with the server comprises the hyperlink. The database stores information of multiple entities each corresponding to one or more hyperlinks. In response to a determination that the database includes the hyperlink, the server may identify an entity corresponding to the hyperlink and provide information of the entity to the computing device. In some embodiments, in response to a determination that the database does not include the hyperlink, the server may identify related web content and return results to user.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.

Abstract: Disclosed is a board connector including a board connector body, conductive terminals of upper and lower rows inserted inside the board connector body and a docking housing wrapped outside the board connector body, wherein a front end of the board connector is used for docking with a cable connector, the docking housing including a top wall, a bottom wall and two side walls, a docking slot is provided between the top wall and a top surface of the board connector body, and the bottom wall is provided with a blocking element that protrudes downward. As compared with the prior art, interference may occur between a front end of a blocking element and a front end of a cable connector when the cable connector is reversely inserted, thereby preventing occurrence of a reverse inserting phenomenon.

Abstract: The present disclosure provides a speaker recognition method, an electronic device, and a storage medium. An implementation includes: segmenting the target audio file and the to-be-recognized audio file into a plurality of audio units respectively; extracting an audio feature from each of the audio units to obtain an audio feature sequence of the target audio file and an audio feature sequence of the to-be-recognized audio file; performing feature learning on the audio feature sequence of the target audio file and the audio feature sequence of the to-be-recognized audio file by using Siamese neural network, to obtain a feature vector corresponding to the target audio file and feature vectors respectively corresponding to the plurality of audio units in the to-be-recognized audio file; and recognizing, by using an attention mechanism-based machine learning model, the audio units belonging to the target speaker in the to-be-recognized audio file based on the feature vectors.

Abstract: Embodiments of the present disclosure disclose a text sequence generating method and apparatus, a device and a medium. The method includes: obtaining an initial text sequence, extracting an initial text feature from the initial text sequence; obtaining a structured text sequence, and extracting a structured feature from the structured text sequence, where the structured text sequence is associated with a fact in the initial text sequence; and fusing and generating a target text sequence based on the initial text feature and the structured feature.

Abstract: A method and neural network system for human-computer interaction, and user equipment are disclosed. According to the method for human-computer interaction, a natural language question and a knowledge base are vectorized, and an intermediate result vector that is based on the knowledge base and that represents a similarity between a natural language question and a knowledge base answer is obtained by means of vector calculation, and then a fact-based correct natural language answer is obtained by means of calculation according to the question vector and the intermediate result vector. By means of this method, a dialog and knowledge base-based question-answering are combined by means of vector calculation, so that natural language interaction can be performed with a user, and a fact-based correct natural language answer can be given according to the knowledge base.

Abstract: The present disclosure provides a speaker recognition method, an electronic device, and a storage medium. An implementation includes: segmenting the target audio file and the to-be-recognized audio file into a plurality of audio units respectively; extracting an audio feature from each of the audio units to obtain an audio feature sequence of the target audio file and an audio feature sequence of the to-be-recognized audio file; performing feature learning on the audio feature sequence of the target audio file and the audio feature sequence of the to-be-recognized audio file by using Siamese neural network, to obtain a feature vector corresponding to the target audio file and feature vectors respectively corresponding to the plurality of audio units in the to-be-recognized audio file; and recognizing, by using an attention mechanism-based machine learning model, the audio units belonging to the target speaker in the to-be-recognized audio file based on the feature vectors.