Abstract: A recommendation reason generation method is disclosed in the present disclosure, including: obtaining, according to search data of a target user, at least one recalled result for the search data; and obtaining a recommendation reason of each recalled result by using a preset intelligent question answering model according to the search data, the at least one recalled result, and a target user profile of the target user. The intelligent question answering model is a first machine learning model obtained through training according to at least one sample question answering data combination, and the sample question answering data combination includes: a sample user profile and historical comment data of at least one sample user, a recommendation object corresponding to the historical comment data, and historical search data of the sample user for the recommendation object.

Abstract: An image capturing method, a camera assembly, and a mobile terminal are provided. An image sensor includes a two-dimensional (2D) pixel array. The 2D pixel array includes multiple panchromatic pixels and multiple color pixels. The 2D pixel array includes minimum repeating units. Each minimal repeating unit includes multiple sub-units. Each sub-unit includes multiple monochromatic pixels and multiple panchromatic pixels. The image capturing method includes the following. The 2D pixel array is exposed to obtain a panchromatic original image and a color original image. The color original image is processed to obtain a color intermediate image. The panchromatic original image is processed to obtain a panchromatic intermediate image. The color intermediate image and/or the panchromatic intermediate image are processed to obtain a target image.

Abstract: An image sensor (10), a camera assembly (40), and a mobile terminal (90) are provided. The image sensor (10) includes a plurality of pixels. At least some of the plurality of pixels each include an isolation layer (1183), a condenser lens (1186), and a photoelectric conversion element (117). The condenser lens (1186) is provided within the isolation layer (1183). The photoelectric conversion element (117) is configured to receive light passing through the condenser lens (1186).

Abstract: Provided are an image sensor (10), a camera assembly (40), and a mobile terminal (90). The image sensor (10) includes panchromatic pixels and color pixels. The color pixels have a narrower spectral response than the panchromatic pixels, and the color pixels have a larger conversion gain than the panchromatic pixels.

Abstract: An image sensor, a camera assembly, and a mobile terminal are provided. The image sensor includes multiple pixels, and each pixel includes an isolation layer, a light guide layer, and a photoelectric conversion element. The light guide layer is formed within the isolation layer, and the refractive index of the light guide layer is greater than the refractive index of the isolation layer. The photoelectric conversion element receives light that passes through the light guide layer.

Abstract: An article generation method and device, and a computer storage medium. According to an example of the method, after a content source is mined based on requirement information inputted by a user, at least one topic dimension vector may be extracted from the mined content source by using a particular topic generation model. Then, for each extracted topic dimension vector, topic sentence mining is performed on the content source according to the topic dimension vector, to obtain topic sentences corresponding to the topic dimension vector. Finally, the topic sentences corresponding to the at least one topic dimension vector are spliced and synthesized, to generate an article conforming to the requirement information.

Abstract: An image sensor, a camera module, a mobile terminal, and an image acquisition method are provided in the present disclosure. The image sensor includes a repeating unit in a two-dimensional pixel array. The repeating unit includes a plurality of color pixels and a plurality of transparent pixels. In the repeating unit, the plurality of transparent pixels are disposed along a first diagonal line and one or more first parallel lines parallel to the first diagonal line, and the color pixels are disposed along a second diagonal line and one or more second parallel lines parallel to the second diagonal line. The first diagonal line is different from the second diagonal line.

Abstract: A camera module, a camera assembly and an electronic device are provided. The camera module includes a casing, a mounting base, a light deflection element, an image sensor and a driving device. The casing has a light inlet. The mounting base is disposed in the casing. The light deflection element is fixed to the mounting base, and configured to deflect an incident light entering through the light inlet. The image sensor is arranged in the casing and configured to sense the defected incident light. The driving device has an arc rail, and is configured to drive the mounting base to rotate around a central axis of the arc rail along the arc rail.

Abstract: The disclosure provides an exposure control method, an exposure control device, an electronic device and a computer readable storage medium. The method includes: determining a target exposure for an image to be captured based on ambient light luminance; determining an exposure time for the image to be captured based on the target exposure and a preset photo-sensibility for the image to be captured; in response to determining that the exposure time for the image to be captured is greater than an upper limit, updating the exposure time for the image to be captured based on the upper limit; and performing an exposure control based on the exposure time and the photo-sensibility for the image to be captured.

Abstract: A method for imaging controlling, an electronic device, and a non-transitory computer-readable storage medium are provided. The method includes the following. Determine a same-exposure image ratio according to ambient brightness of a shooting scene, where the same-exposure image ratio is a ratio of the number of images to be captured with same exposure among multiple images to be captured to the number of the multiple images to be captured, and the same-exposure image ratio is inversely proportional to the ambient brightness. Capture the multiple images that satisfy the same-exposure image ratio. Perform a synthesizing processing on the multiple images.

Abstract: One example packet processing device includes a buffer, and the packet processing device obtains a to-be-measured packet. In response to determining that occupied storage space in the buffer is less than a preset threshold, the packet processing device reads the to-be-measured information from the buffer, and modifies, based on the to-be-measured information and a first algorithm, a pieces of data in first measurement data corresponding to the to-be-measured packet, where a is a positive integer. In response to determining that occupied storage space in the buffer is greater than or equal to a preset threshold, the packet processing device modifies, based on to-be-measured information and a second algorithm, w pieces of data in second measurement data corresponding to the to-be-measured packet, where w is a positive integer, and w is less than a.

Abstract: A method for determining sag of an electricity transmission line based on image recognition is provided. In the method, an image of an electricity transmission line in a target area captured by an unmanned aerial vehicle is acquired and coordinates of a catenary corresponding to the electricity transmission line is extracted from the image. A catenary curve equation is constructed based on the extracted coordinates of the catenary and a complete catenary curve is drawn according to the catenary curve equation. A sag expression of the catenary is obtained based on the complete catenary curve and the catenary curve equation. A derivative of the sag expression is calculated to obtain a maximum sag.

Abstract: Techniques are described for executing a query with a top-N clause to select a first N-number of rows in a data source arranged at least according to a first key and a second key of the data source using a first sort order respectively specified for the first key and a second sort order respectively specified for the second key by the query. The data source may include one or more tiles that include at least a portion of the first key and the second key. To execute the query, in an embodiment, a DBMS determines, in a first vector of first key values that are in a first tile, row identifiers identifying entries of the first vector that contain values equal to a tail value that follows a particular top number of the first key values. The DBMS may select, from a second vector of values of the second key in the first tile, second key values identified based on the determined row identifiers of the first vector.

Abstract: A sorting method is provided. The sorting method according to embodiments of the present disclosure includes: performing grouping on a data sample set according to a search request, to obtain at least one search request group; training a neural network model by using the search request group, where during the training of the neural network model, a parameter of the neural network model is adjusted according to current predicted values of clicked candidate objects and unclicked candidate objects in a same search request group and a variation of a normalized discounted cumulative gain (NDCG) before and after rank positions of the clicked candidate object and the unclicked candidate object are exchanged; and sorting, by using the neural network model, target objects associated with a target search term.

Abstract: An image acquisition, an electronic device, and a non-transitory computer-readable storage medium are provided. The image acquisition method includes: acquiring, by a first camera, at least two first images by using at least two different first exposure parameters; performing a content analysis on each of the first images, and determining at least two second exposure parameters according to an content analysis result and the at least two different first exposure parameters; performing an image acquisition, by a second camera, with the at least two second exposure parameters to acquire at least two second images; and performing a fusion process on the at least two second images to obtain a target image.

Abstract: A computer-implemented method for word meaning generation is provided. In this method, a vocabulary notebook is obtained, wherein the vocabulary notebook stores at least one existing word that has been looked up. A concerned category is then identified based on the vocabulary notebook. It will be further determined whether a new page to be displayed contains at least one new word belonging to the concerned category. And responsive to determining that the new page contains the at least one new word, a respective meaning of the at least one new word is generated.

Abstract: A deployment specification for implementing a requested cloud service is received by a server. A resource pool is queried by the server for available resources required by the deployment specifications. The resource pool includes a plurality of pre-configured resources for implementing one or more cloud services. A first resource required by the deployment specification is determined to be available within the resource pool. First resource metadata associated with the first resource is requested from a database. The resource metadata includes a resource identifier and a resource type of the first resource. The resource metadata associated with the first resource is received from the database. The first resource is deployed from the resource pool according to the deployment specification to implement the requested cloud service.

Abstract: Described herein is a method for mixing unequal amounts of two reagents to produce a detectable reaction in a microfluidic chip. In one example, there is a fluorescent microfluidic urinary albumin chip (UAL-Chip) that exploits the nonimmunological fluorescent assay. In this chip, we constructed a passive and continuous mixing module, in which the loading process requires only an inexpensive dropper, and the signal is stable over time, as discussed below. We applied a pressure-balancing strategy based on the immiscible oil coverage which highly improves the precision in controlling the mixing ratio of sample and dye. The UAL-Chip has achieved an estimated limit of detection (LOD) of 8.4 ?g/ml using albumin standards, which is below the 30 ?g albumin per ml urine level considered to be indicative of kidney damage.

Abstract: The present disclosure relates to capacity planning methods and apparatus. One example method includes matching a distribution model based on a quantity of service packets in each transmission time interval within specified duration to obtain a matched first distribution model, matching a distribution model based on a length of the service packets to obtain a second distribution model, and performing bandwidth control based on the first distribution model, the second distribution model, a distribution parameter of the first distribution model, and a distribution parameter of the second distribution model.

Abstract: A method of pushing information is provided. According to an example, a search server obtains a natural search list including a first threshold number of natural search materials and a first evaluation score of each of the natural search materials by invoking a natural search service to perform a search operation on a search word, obtains a push information list including a second threshold number of push materials and a second evaluation score of each of the push materials by invoking a push information search service to perform a search operation on a search word, integrates the first evaluation score and the second evaluation score of a material existing in the natural search list and the push information list at the same time, re-ranks the natural search materials according to integrated evaluation scores, and pushes re-ranked natural search materials.