Abstract: A display substrate, including: a first base substrate, including a display region and a peripheral region surrounding the display region; at least one common voltage line in the display region, each being configured with at least one conductive connection region; a first passivation layer on a side of the common voltage line away from the first base substrate; a common electrode on a side of the first passivation layer away from the first base substrate; a second passivation layer on a side of the common electrode away from the first base substrate; a pixel electrode on a side of the second passivation layer away from the first base substrate; and a first conductive connection electrode in the corresponding conductive connection region and in the same layer as the pixel electrode, where the common electrode is electrically connected to the common voltage line through the first conductive connection electrode.

Abstract: A method and apparatus for estimating an occurrence location of an event of interest, and computing devices. The method may include: determining a location determination delay time period based on a first time point at which the event of interest occurs and a second time point at which motion information is acquired earliest; acquiring pieces of motion information at sampling time points with a predetermined sampling interval, each piece of motion information includes a motion speed, a motion direction, and a location of the moving vehicle at a respective sampling time point; determining a motion change rate of the moving vehicle based on the pieces of motion information; and estimating the occurrence location of the event of interest based on the motion information at an ordinal first one sampling time point of the sampling time points, the motion change rate, and the location determination delay time period.

Abstract: A display substrate, including a plurality of gate lines and a plurality of data lines defining a plurality of pixel regions, where the plurality of pixel regions include a plurality of normal pixel regions and a plurality of redundant pixel regions at a periphery of the normal pixel regions; where each normal pixel region is provided with a first pixel electrode and a first transistor, each redundant pixel region is provided with a second pixel electrode and a second transistor, a gate of the first transistor is connected to a corresponding gate line, a source of the first transistor is connected to a corresponding data line, and a drain of the first transistor is connected to the first pixel electrode; and the second pixel electrode and the second transistor are insulated and spaced apart from each other.

Abstract: A display substrate is provided to include: a first base substrate including a sealing region and a display port region, wherein at least one first connection region and at least one second connection region are in the display port region, a first overlapping region is formed between the second and first connection regions; first and second connection terminals in the first and second connection regions, respectively; and a planarization layer including at least one first trench and at least one second trench corresponding to the first and second connection regions therein, respectively; orthographic projections of bottoms of first and second trenches on the first base substrate cover corresponding first and second connection regions, respectively; the planarization layer includes: a first pattern corresponding to the first overlapping region; orthographic projections of the first pattern and its corresponding first overlapping region on the first base substrate overlap with each other.

Abstract: A method and associated device for estimating revolutions of a bearing on an object is disclosed. The method includes receiving a plurality of measurement data from a plurality of sensors. Each of the plurality of measurement data has a corresponding time stamp. The method includes determining a total travelled distance of the object based on the plurality of measurement data and determining a travelled distance offset of the bearing. The travelled distance offset of the bearing is a distance that the object has travelled when the bearing is installed on the object. The method includes determining the revolutions of the bearing based on the determined total travelled distance of the object and the determined travelled distance offset of the bearing.

Abstract: A method and associated device for estimating revolutions of a bearing on an object. The method includes receiving a plurality of measurement data from a sensor. Each of the plurality of measurement data has a corresponding time stamp. The plurality of measurement data is measured by the sensor waking up based on a first time interval. During running of the object, the first time interval changes based on a running status of the object. The method includes determining a total travelled distance of the object based on the plurality of measurement data and determining a travelled distance offset of the bearing. The travelled distance offset is a distance that the object has travelled when the bearing is installed on the object. The method includes determining the revolutions of the bearing based on the determined total travelled distance of the object and the determined travelled distance offset of the bearing.

Abstract: A passive sensor device and a passive sensor system are disclosed, wherein the passive sensor device comprises a sensing control module configured to operatively perform a detection process on a device to be detected and generate a detection result; an energy harvesting module mounted on a main body of the device to be detected and configured to convert the harvested vibration energy from the device to be detected into alternating current energy; a power management module configured to receive the alternating current energy from the energy harvesting module, convert the alternating current energy to direct current energy, and supply power to the passive sensor device based on the direct current energy.

Abstract: Disclosed are an array substrate, a display panel and a display apparatus. The array substrate includes: at least one pad group located in a bonding area, and the pad group including a plurality of pads arranged sequentially along a second direction; at least one connection line group disposed on the same side of a substrate as a plurality of data lines in the bonding area, and the connection line group including a plurality of connection lines, an end of a connection line being electrically connected to a data line, and other end of the connection line being electrically connected to a pad, and connection lines of a same connection line group being electrically connected to a same pad group. In the connection line group, multiple connection lines located on at least one side of the pad group are arranged in multiple wiring regions along the second direction.

Abstract: Provided are an array substrate and a display apparatus thereof. The array substrate includes a display region and a binding region located at a side of the display region; the binding region includes a first conductive layer disposed on the substrate and a planarization layer disposed at a side of the first conductive layer away from the substrate. The binding region includes a binding zone and a vacancy zone alternately disposed along an edge of the display region, the first conductive layer includes a plurality of binding pins disposed in the binding zone, and the planarization layer is provided with first openings exposing the plurality of binding pins and covering the binding zone and the vacancy zone.

Abstract: A driving circuit, a driving method, a display substrate and a display device are provided. The driving circuit includes a first node control circuit, a second node control circuit, a third node control circuit and an output circuit; the first node control circuit controls the potential of the first node; the second node control circuit controls the potential of the second node; the third node control circuit controls, under the control of the on-off control signal, the first node to be electrically connected to the third node or the first node to be electrically disconnected from the third node; the output circuit controls, under the control of the potential of the second node and the potential of the third node, output of the driving signal through the driving signal terminal.

Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: A refinement option recommendation system provides suggestions for completed search queries and refinement options. Upon receiving, at a search engine for a site, a portion of a search query from a user, the refinement option recommendation system determines a completed search query based on the portion of the search query. For example, if the portion includes “bak” or “baking,” the completed search query suggestion may include “baking recipe books” or “baking ingredients.” The refinement option recommendation system also determines a refinement option associated with the completed search query based on historical queries. For example, the refinement option may include recipe books associated with a particular culture based on historical queries by the user or by other users. As such, a first suggestion for the completed search query and a second suggestion for the refinement option are both provided to the user.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: This application provides example optical communications apparatuses. One example optical communications apparatus includes a control apparatus and an optical module matching apparatus. The control apparatus can output a first control signal to the control end. An input end of the optical module matching apparatus can connect to a first optical module and receive a first electrical signal output by the first optical module. An output end of the optical module matching apparatus can output a first serial signal. The control apparatus can output a second control signal to the control end. The input end of the optical module matching apparatus can receive a second electrical signal output by the second optical module. The output end of the optical module matching apparatus can output a second serial signal. The first electrical signal and the second electrical signal can have different level types.

Abstract: A virtual machine recovery method, where after receiving a virtual machine recovery command for recovering a to-be-recovered virtual machine, a virtual machine management device obtains configuration information of the to-be-recovered virtual machine from a cloud server. Then the virtual machine management device creates, according to the configuration information, a recovered virtual machine and a local storage. After downloading basic system data from the cloud server, the recovered virtual machine is started according to the basic system data. When receiving an input/output (IO) request for accessing a first data of the to-be-recovered virtual machine, the virtual machine management device downloads the first data from the cloud server to the local storage.

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

Abstract: Techniques for sharing item images based on a similarity score are described. For example, a machine receives a description of an item from a user device. The machine accesses an existing image. The existing image is associated with one or more existing descriptions of the item. The machine selects, based on a description selection rule, the one or more existing descriptions corresponding to the existing image for comparison with the description received from the user device. The machine generates a similarity score for the existing image based on the comparison between the description received from the user device and the one or more existing descriptions corresponding to the existing image. The machine causes a display, in a user interface of the user device, of a number of existing images having corresponding similarity scores that exceed a threshold value.

Abstract: A first variant of a listing and a second variant of the listing are received. The listing describes an item for sale in an electronic marketplace. The first variant describes a different iteration of the item relative to the second variant. First user activity data of the first variant is generated and second user activity data of the second variant is generated. The first user activity data corresponds to user input metrics associated with the first variant. The second user activity data corresponds to user input metrics associated with the second variant. A search engine receives a first query. Based at least in part on the first user activity data relative to the second user activity data, a first search result associated with the first variant is ranked higher than a second search result associated with the second variant.