Abstract: Provided is a method for treating an oil gas, which can realize high-efficiency separation for and recovery of gasoline components, C2, C3, and C4 components. The method first conducts separation of light hydrocarbon components from gasoline components, and then performs subsequent treatment on a stream rich in the light hydrocarbon components, during which it is no longer necessary to use gasoline to circularly absorb liquefied gas components, which significantly reduces the amount of gasoline to be circulated and reduces energy consumption throughout the separation process. Besides, in this method, impurities, such as H2S and mercaptans, in the stream rich in the light hydrocarbon components are removed first before the separation for the components. This ensures that impurities will not be carried to a downstream light hydrocarbon recovery section, thus avoiding corrosion issues caused by hydrogen sulfide in the light hydrocarbon recovery section.

Abstract: A continuous quantitative spraying structure for sterilization of harvested fruits is provided. The continuous quantitative spraying structure includes a track provided thereon with equally spaced trays for conveying fruits, where the trays each include a circular tray body; a central part of the tray body is provided with a central hole allowing the fruit to fall off; a bottom part of the central hole is provided with two parallel rollers; an inner bottom surface of the tray body is provided with a flap; an inner end of a central shaft of the roller passes through the flap, and is fixed to a rolling wheel; a bearing is provided between the roller and the flap; the track is provided with a spraying sterilization section; the spraying sterilization section is sequentially provided with 3 to 4 sets of sterilization nozzles above a tray conveying route.

Abstract: Embodiments of the disclosure provide a method, apparatus, device, and storage medium for content capturing. The method includes, in response to a capturing start instruction, presenting a capturing start page which including at least a capturing control; in response to detecting a trigger instruction for the capturing control, switching from the capturing start page to a capturing page for video capturing, the capturing page including at least a stop control and a pause control, and the stop control being presented in a more prominent way than the pause control; and in response to detecting a trigger instruction for the stop control, switching from the capturing page to a video editing page, the video editing page being used to edit a captured video. In this way, it is possible for users to quickly perform video capturing and directly enter the editing page to complete editing of a work.

Abstract: A continuous quantitative spraying structure for sterilization of harvested fruits is provided. The continuous quantitative spraying structure includes a track provided thereon with equally spaced trays for conveying fruits, where the trays each include a circular tray body; a central part of the tray body is provided with a central hole allowing the fruit to fall off, a bottom part of the central hole is provided with two parallel rollers; an inner bottom surface of the tray body is provided with a flap; an inner end of a central shaft of the roller passes through the flap, and is fixed to a rolling wheel; a bearing is provided between the roller and the flap; the track is provided with a spraying sterilization section; the spraying sterilization section is sequentially provided with 3 to 4 sets of sterilization nozzles above a tray conveying route.

Abstract: The present disclosure provides a transmission line defect identification method based on a saliency map and a semantic-embedded feature pyramid, including the following steps: step 1: cleaning and classifying a dataset; step 2: generating a super-resolution image for a small target of a transmission line by using an Electric Line-Enhanced Super-Resolution Generative Adversarial Network (EL-ESRGAN) model; step 3: performing image saliency detection on the dataset by constructing a U2-Net; step 4: performing data augmentation on the dataset by using GridMask and random cutout algorithms based on a saliency map, and generating a classified dataset; and step 5: performing image classification on a normal set and a defect set by using a ResNet34 classification algorithm and a deep semantic embedding (DSE)-based feature pyramid classification network.

Abstract: Provided is an image sensor and a manufacturing method thereof, an image recognition method and an electronic device. The image sensor includes a sensor unit array, an encapsulation layer, a rewiring layer and a circuit board. The sensor unit array includes multiple sensor units, the multiple sensor units are arranged in an array, each sensor unit is configured to generate a respective partial size image of an imaging object, and each sensor unit includes at least one interconnection structure. The encapsulation layer wraps the sensor unit array, and exposes the interconnection structure of each sensor unit. The rewiring layer is disposed on a side of the encapsulation layer, and is electrically connected to the interconnection structure. The circuit board is disposed on a side of the rewiring layer away from the encapsulation layer, and is electrically connected to the rewiring layer.

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

Abstract: A micro panchromatic QLED array device based on a quantum dot transfer process of deep silicon etching templates. Array-type square table structures pass through a p-type GaN layer and a quantum well active layer and are deep to an n-type GaN layer are disposed on a blue LED epitaxial wafer, wherein micro holes are formed through etching in the structures. Every 2*2 table structures constitute an RGB pixel unit. Among the four micro holes, three of the holes are filled with red light, green light and yellow light quantum dots respectively, and one of the holes emits blue light/is filled with a blue light quantum dot. Micro holes in a silicon wafer are formed through etching with a deep silicon etching technology; the micro holes in the silicon wafer are aligned with quantum dot filling areas on a micro-LED.

Abstract: A method for labeling target molecules coupled to particles for the detection of the target molecules using a microarray chip, comprises: providing a functionalized microparticle, wherein the microparticle is coated with one or more functional group; providing a modification group on each of the target molecules to be detected to form modified target molecules; contacting the functionalized microparticle with the modified target molecules; coupling a luminophore to the complex between the functionalized microparticle and the modified target molecules, thereby directly or indirectly labeling each modified target molecules with the luminophore. By directly or indirectly labeling the target molecules with the luminophore, the method reduces the cost of fluorescence detection, and avoids PCR inhibition derived from traditional fluorescence labeling molecules.

Abstract: A micro panchromatic QLED array device based on a quantum dot transfer process of deep silicon etching templates. Array-type square table structures pass through a p-type GaN layer and a quantum well active layer and are deep to an n-type GaN layer are disposed on a blue LED epitaxial wafer, wherein micro holes are formed through etching in the structures. Every 2*2 table structures constitute an RGB pixel unit. Among the four micro holes, three of the holes are filled with red light, green light and yellow light quantum dots respectively, and one of the holes emits blue light/is filled with a blue light quantum dot. Micro holes in a silicon wafer are formed through etching with a deep silicon etching technology; the micro holes in the silicon wafer are aligned with quantum dot filling areas on a micro-LED.

Abstract: A searching method and a searching apparatus based on a neural network and a search engine are disclosed, the searching method including: acquiring a query and a pre-query input by a user; acquiring a plurality of search results according to the query; generating a target term vector representation according to the query, the pre-query and the plurality of search results based on an MLP; and forecasting the target term vector representation based on a semantic model of a deep neural network so as to acquire a plurality of s optimized search results corresponding to the query.

Abstract: The present disclosure provides a method and an apparatus for providing information based on artificial intelligence. The method includes: determining a characteristic of interest of the user according to historical access records of the user; and displaying an information card matched with the characteristic of interest in an information displaying interface, the information card including core contents of news matched with the characteristic of interest determined by analyzing news in a database.

Abstract: There is provided a fingerprint sensor module comprising a fingerprint sensor device. The fingerprint sensor device comprises a sensing array consisting of a plurality of sensing elements, the sensor device being configured to acquire an image of a finger placed on a sensing surface of the fingerprint sensor module. The fingerprint sensor module further comprises a substrate comprising an opening, wherein the fingerprint sensor device is arranged in the opening of the substrate and wherein the substrate comprises an antenna embedded in the substrate, the antenna being electrically connected to the fingerprint sensor device.

Abstract: A method and an apparatus for recalling a search result based on a neural network are provided, the method comprising: receiving a query and collecting a plurality of search results corresponding to the query; acquiring a first feature vector corresponding to the query, and acquiring second feature vectors corresponding to titles of the plurality of search results respectively; acquiring similarities between the first feature vector and the second feature vectors respectively, and acquiring semantic matching scores between the query and the plurality of search results respectively according to the similarities; and determining at least one target search result from the plurality of search results according to the semantic marching scores, wherein the at least one target search result is regarded as the search result recalled according to the query.

Abstract: A method comprises: acquiring a to-be-compressed topic model, wherein each line of the topic model represents a distribution of a word among respective topics; performing a format conversion on the topic model to obtain a first topic model, wherein each line of the first topic model represents a distribution of a topic among respective words; selecting any two topics from the first topic model to form a topic pair, forming a topic pair set using at least one topic pair, and determining a similarity between the two topics in each topic pair in the topic pair set; merging topic pairs having a similarity greater than a similarity threshold to generate a second topic model; and performing a format conversion on the second topic model to obtain a compressed topic model, so that each line of the compressed topic model represents a distribution of a word among the respective topics.

Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

Abstract: A method for labeling target molecules coupled to particles for the detection of the target molecules using a microarray chip, comprises: providing a functionalized microparticle, wherein the microparticle is coated with one or more functional group; providing a modification group on each of the target molecules to be detected to form modified target molecules; contacting the functionalized microparticle with the modified target molecules; coupling a luminophore to the complex between the functionalized microparticle and the modified target molecules, thereby directly or indirectly labeling each modified target molecules with the luminophore. By directly or indirectly labeling the target molecules with the luminophore, the method reduces the cost of fluorescence detection, and avoids PCR inhibition derived from traditional fluorescence labeling molecules.

Abstract: Embodiments of the present disclosure disclose a method, an apparatus, a server, and a storage medium for recalling for a search. The method for recalling for a search includes: acquiring a search term inputted by a user; calculating a semantic vector of the search term using a pre-trained neural network model; and recalling, according to a pre-established index, target documents related to the semantic vector of the search term from candidate documents, the index being established based on the semantic vectors of the candidate documents, and the semantic vectors of the candidate documents being calculated using the pre-trained neural network model. The embodiments of the present disclosure may solve a problem in the existing method for recalling that the recalling accuracy is affected by failing to generalize semantics, to improve the accuracy of recalling for a search.

Abstract: A method for labeling target molecules coupled to particles for the detection of the target molecules using a microarray chip, comprises: providing a functionalized microparticle, wherein the microparticle is coated with one or more functional group; providing a modification group on each of the target molecules to be detected to form modified target molecules; contacting the functionalized microparticle with the modified target molecules; coupling a luminophore to the complex between the functionalized microparticle and the modified target molecules, thereby directly or indirectly labeling each modified target molecules with the luminophore. By directly or indirectly labeling the target molecules with the luminophore, the method reduces the cost of fluorescence detection, and avoids PCR inhibition derived from traditional fluorescence labeling molecules.

Abstract: Embodiments of the present disclosure disclose a method and a device for judging news quality based on AI and a storage medium. The method includes: constructing a news quality classification model based on a news feature of known high-quality news and/or a news feature of known low-quality news; and judging news quality of news to be detected with the news quality classification model.