Abstract: Provided is an array substrate. The array substrate includes: a base substrate, and a plurality of gate lines, a plurality of data lines, a plurality of sub-pixels and a plurality of touch signal lines disposed on the base substrate. The data lines have a plurality of first extending parts and a plurality of second extending parts which are in an alternating arrangement. When the array substrate is used to prepare a liquid crystal display panel and the liquid crystal display panel is displaying, in each column of the sub-pixels, the voltage polarities of the two adjacent sub-pixels which respectively belong to two adjacent first pixel regions are opposite.

Abstract: An array substrate and display device are provided. The array substrate includes a base substrate, and gate lines, data lines, compensation blocks and sub-pixels located on the base substrate. Two gate lines are arranged between two adjacent rows of sub-pixels. The data lines are provided with multiple first extensions and second extensions arranged alternately. The extending direction of the first extensions intersects with the extending direction of the second extensions.

Abstract: A processor device has a CPU cooperating with an input device and an output device, under control of stored instructions, and is arranged to receive service requests at the input device, assign service requests received in successive time periods to respective batches of requests; access stored service provider data to identify available service providers from among a pool of service providers; after completing the assignment of service requests to a batch, perform a matching process to endeavour to match each service request of the batch of requests to a service provider; and for each service provider to whom a match is made, output a notification of the respective potential match from the output device.

Abstract: For various content campaigns (or content), an online system generates a score indicating a likelihood of the content item having deceptive information, such as including a picture or name of a celebrity to promote something that the celebrity has not actually endorsed. The online system receives a request to determine whether a content item comprises deceptive information. The online system extracts features from the content item, and provides the extracted features to a machine learning based model configured to generate score indicating whether a content item comprises deceptive information. The online system executes the machine learning based model to generate the score for the content item. Responsive to the generated score indicating that content item comprises deceptive information, the online system verifies whether the content item conforms to content policies.

Abstract: A content review system for an online system automatically determines if received content items to be displayed to users violate any policies of the online system. The content review system generates a semantic vector representing the semantic features of a content item, for example, using a neural network. By comparing the semantic vector for the content item with semantic vectors of content items previously determined to violate one or more policies, the content review system determines whether the content item also violates one or more policies. The content review system may also maintain templates corresponding to portions of semantic vectors shared by multiple content items. An analysis of historical content items that conform to the template is performed to determine a probability that received content items that conform to the template violate a policy.

Abstract: Provided are a method and an apparatus for segmenting a G-banded adhered chromosome based on a geometrical characteristic and regional fusion, and a chromosome karyotype analysis device. The method first extracts concave points of an outline of an adhered chromosome region, then cuts an adhered chromosome image via a cutting line formed by the concave points in pairs, and at last carries out a fusion operation on a local cut region and selects a most appropriate region as a final single chromosome region. The method implements automatic segmentation of an adhered chromosome and improves the chromosome karyotype analysis efficiency.

Abstract: A content review system for an online system automatically determines if received content items to be displayed to users violate any policies of the online system. The content review system generates a semantic vector representing the semantic features of a content item, for example, using a neural network. By comparing the semantic vector for the content item with semantic vectors of content items previously determined to violate one or more policies, the content review system determines whether the content item also violates one or more policies. The content review system may also maintain templates corresponding to portions of semantic vectors shared by multiple content items. An analysis of historical content items that conform to the template is performed to determine a probability that received content items that conform to the template violate a policy.

Abstract: For various content campaigns (or content), an online system predicts a likelihood score of context violations (e.g., account term violations) of a content campaign. The online system derives a plurality of feature vectors of the content campaign. The online system predicts a likelihood score of context violation of the content campaign using a memorization model based on the plurality of feature vectors. The memorization model comprises a plurality of categories and a plurality of items of each category. Each of the plurality of categories has a category weight, and each of the plurality of items of each category has an item weight. The predicted likelihood score is based on a combination of a plurality of category weights and a plurality of item weights associated with the plurality of feature vectors. The online system performs an action affecting the content campaign based in part on the predicted likelihood score.

Abstract: The present disclosure discloses a method and apparatus for verifying information. The method includes: acquiring a target combination of question and answer, the target combination of question and answer comprising a question and an answer to the question; sending the question in the target combination of question and answer to a terminal device; receiving to-be-confirmed voice information sent by the terminal device, and recognizing the to-be-confirmed voice information to generate a to-be-confirmed answer; and determining that the to-be-confirmed voice information is verified, if the to-be-confirmed answer matches the answer in the target combination of question and answer.

Abstract: The present disclosure discloses a method and an apparatus for controlling a virtual speech assistant, a user device and a storage medium, which solves the problem associated with bad feedback effect for input of a user device in the field. The method includes: displaying a virtual speech assistant icon in a floating way on a human-machine interaction interface of a user device; receiving a speech instruction when a microphone of the user device is enabled; and performing an operation according to the speech instruction, and producing a speech output corresponding to an operation result of the operation.

Abstract: An online system distributes content items provided by content providers. The online system determines a likelihood of a content item having deceptive information. The online system stores images showing faces of people in an image database. The online system extracts features from the content item, and provides the extracted features to a machine learning based model configured to generate score indicating whether a content item comprises deceptive information. The machine learning based model uses at least a feature based on matching of faces of users shown in the content item with faces of users shown in the images of the image database. If the online system determines that a content item is deceptive, the online system adds images comprising faces extracted from the content item to the image database to grow the image database.

Abstract: A content review system for an online system automatically determines if received content items to be displayed to users violate any policies of the online system. The content review system generates a semantic vector representing the semantic features of a content item, for example, using a neural network. By comparing the semantic vector for the content item with semantic vectors of content items previously determined to violate one or more policies, the content review system determines whether the content item also violates one or more policies. The content review system may also maintain templates corresponding to portions of semantic vectors shared by multiple content items. An analysis of historical content items that conform to the template is performed to determine a probability that received content items that conform to the template violate a policy.

Abstract: A content review system for an online system automatically determines if received content items to be displayed to users violate any policies of the online system. The content review system generates a semantic vector representing the semantic features of a content item, for example, using a neural network. By comparing the semantic vector for the content item with semantic vectors of content items previously determined to violate one or more policies, the content review system determines whether the content item also violates one or more policies. The content review system may also maintain templates corresponding to portions of semantic vectors shared by multiple content items. An analysis of historical content items that conform to the template is performed to determine a probability that received content items that conform to the template violate a policy.

Abstract: The present disclosure discloses a method and apparatus for verifying information. The method includes: acquiring a target combination of question and answer, the target combination of question and answer comprising a question and an answer to the question; sending the question in the target combination of question and answer to a terminal device; receiving to-be-confirmed voice information sent by the terminal device, and recognizing the to-be-confirmed voice information to generate a to-be-confirmed answer; and determining that the to-be-confirmed voice information is verified, if the to-be-confirmed answer matches the answer in the target combination of question and answer.

Abstract: For various content campaigns (or content), an online system predicts a likelihood score of context violations (e.g., account term violations) of a content campaign. The online system derives a plurality of feature vectors of the content campaign. The online system predicts a likelihood score of context violation of the content campaign using a memorization model based on the plurality of feature vectors. The memorization model comprises a plurality of categories and a plurality of items of each category. Each of the plurality of categories has a category weight, and each of the plurality of items of each category has an item weight. The predicted likelihood score is based on a combination of a plurality of category weights and a plurality of item weights associated with the plurality of feature vectors. The online system performs an action affecting the content campaign based in part on the predicted likelihood score.

Abstract: The invention relates to an alarm for detecting damage to a multiple glazed unit comprising: a humidity sensor; and a movement sensor in which, when the movement sensor detects movement of the glazed unit, the humidity sensor compares the current detected humidity in the glazed unit with a previously stored detected humidity, and if the humidity has changed by a predetermined threshold, a damage alarm is triggered.

Abstract: The invention relates to an alarm for detecting damage to a multiple glazed unit comprising: a humidity sensor; and a movement sensor in which, when the movement sensor detects movement of the glazed unit, the humidity sensor compares the current detected humidity in the glazed unit with a previously stored detected humidity, and if the humidity has changed by a predetermined threshold, a damage alarm is triggered.

Abstract: Disclosed is a digital entertainment system which can receive, store and reproduce multimedia data such as broadcasts, provide diverse communication interfaces, and exchange and share data with external appliances connected thereto. In the network printer control system, an audio and video (A/V) signal processing part receives external broadcasting signals, and outputs digital data obtained through a process of channel selection and demodulation of the broadcasting signal. A data over cable service interface specification (DOCSIS) and out of band (OOB) processing part provides a communication interface according to a DOCSIS standard and for an OOB service. An MPEG processing part generates standard video signals by decoding input data by a predetermined method, and outputs the generated standard video signals to any external appliances, and a system bus communicably connects the signal processing part, the DOCSIS/OOB processing part and the MPEG processing part.

Abstract: A method and apparatus to download a main program from a memory card in a digital receiver. The digital receiver includes a central processing unit, a memory, a memory card interface, and a key input unit. The method executes a boot program to initialize the digital receiver, detects a memory card insert signal triggering a search of a file having an predetermined file extension in the memory card through the memory card interface, reads and stores the file in an auxiliary memory, reads a header of the file read having the predetermined extension, determines whether the file read is the main program, downloads the main program to the memory, and determines whether the main program is downloaded by checking information of the file recorded in the header and a capacity of the main program recorded in the memory.