Abstract: An online system predicts household features of a user, e.g., household size and demographic composition, based on image data of the user, e.g., profile photos, photos posted by the user and photos posted by other users socially connected with the user, and textual data in the user's profile that suggests relationships among individuals shown in the image data of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. For example, a trained image analysis model identifies each individual depicted in the photos of the user; a trained text analysis model derive household member relationship information from the user's profile data and tags associated with the photos. The online system uses the predictions to build more information about the user and his/her household in the online system, and provide improved and targeted content delivery to the user and the user's household.

Abstract: The present disclosure relates to systems and methods for treating subterranean formations.

Abstract: Information describing deliveries of content items and user actions associated with the content items is stored. Each delivery is performed by an online publisher to a user. A user action associated with a content item performed by a target user is detected. Information describing a set of online publishers that delivered the content item to the target user is retrieved. For each online publisher of the set, a likelihood that the user action would have occurred without the online publisher's delivery of the content item to the target user is determined. An estimated increase in the likelihood that the user action occurred due to the online publisher's delivery of the content item to the target user is determined. A performance metric is determined for the online publisher, wherein ratios of performance metrics for the set of online publishers are related based on corresponding ratios of the estimated increases in likelihoods.

Abstract: The present invention discloses an array substrate, which comprises a substrate; a gate line and a gate connected to the gate line on the substrate; a first insulating layer covering the gate line and the gate; an active layer on the first insulating layer; an organic layer on the first insulating layer, which exposes the active layer; a source, a drain, and a data line connected with the source on the organic layer, the source and the drain being respectively connected with the active layer, the data line and the gate line being overlapped; a second insulating layer covering the source, the drain, the data line, and the active layer; a contact hole in the second insulating layer, the contact hole exposing the drain; and a pixel electrode on the second insulating layer, the pixel electrode being contacted with the drain through the contact hole.

Abstract: A method of self-adaption adjustment for post-printing treatment including steps of S1: printing a plurality of identifiers on a paper sheet for positioning actual locations of treatment on the paper sheet; S2: detecting the identifiers on the paper sheet, and locating the actual locations to be treated according to the locations of the identifiers and/or relative locations among the identifiers; and S3: adjusting locations of treatment from a post-printing treatment mechanism to the paper sheet according to the actual locations output in step S2. A system of self-adaption adjustment for post-printing treatment including a printing module, a detection module, a treatment module, a driving module and a post-printing treatment mechanism.

Abstract: A pixel electrode structure and a liquid crystal display panel are provided. That includes: a strip shaped horizontal main trunk; a strip shaped vertical main trunk crossing the strip shaped horizontal main trunk; and a plurality of strip shaped branches diverging outward from a crossed center between the vertical main trunk and the horizontal main trunk. There is at least one slit in the horizontal main trunk and the vertical main trunk.

Abstract: An online system matches a user across multiple online systems based on image data for the user (e.g., profile photo) regardless whether the image data is from the online system, a different but related online system or a third party system. For example, to match the user across a social networking system and INSTAGRAM™ system, the online system compares the similarity between images of the user from both systems in addition to similarity of textual information in the user profiles on both systems. The similarity of image data and the similarity of textual information associated with the user are used by the online system as indicators of matched user accounts belonging to the same user across both systems. The online system applies models trained using deep learning techniques to match a user across multiple online systems based on the image data and textual information associated with the user.

Abstract: A method for determining a first concentration of a first component in an aqueous solution, the surface tension of which is altered by the presence of the first component. The method can include identifying a second concentration of at least one second component in the aqueous solution. The at least one second component can also alter the surface tension of the aqueous solution. The method can further include comparing a plurality of dynamic surface tension measurements of each of a plurality of aqueous test solutions with at least one dynamic surface tension measurement of the aqueous solution to determine the first concentration. The plurality of aqueous test solutions can include the first component at a plurality of concentrations and the at least one second component at the second concentration.

Abstract: Provided is a thin film transistor (TFT) liquid crystal display device, which is characterized in that an upper substrate is a substrate on which a series of TFT circuits are arranged, and a lower substrate is a thin film transistor TFT substrate. Common electrodes and pixel electrodes of the upper substrate and the lower substrate are alternately configured. The common electrode and pixel electrode of the upper substrate are respectively overlapped with the pixel electrode and common electrode of the lower substrate, so that positions of data lines and scanning lines of the upper substrate and positions of data lines and scanning lines of the lower substrate are overlapped.

Abstract: An apparatus includes multiple signal processing lanes and composite instruction controller. Each signal processing lane includes a first fundamental functional unit, a second fundamental functional unit and a register file unit having multiple configurable vector registers. The composite instruction controller is coupled to the first fundamental functional units and the second fundamental functional units in the plurality of signal processing lanes and is configured to issue control signals in response to a composite instruction to control the first fundamental functional units and the second fundamental functional units and thereby carry out a composite operation.

Abstract: Patient treatment may be optimized using Recurrent Neural Network (RNN) based state simulation and Reinforcement learning (RL) techniques to simulate future states and actions. A RNN state simulator and a RL action generator may be trained using patient data such as historical states and actions. The RL action generator may be optimized by applying the RNN state simulator to simulating future states and applying the RL action generator to generate recommended actions based on the simulated future states. This process may be iteratively performed until a computational convergence is reached by the RL action generator which may indicate that the RL action generator has been optimized. A patient state may be fed into the optimized RL action generator to generate an optimal recommended treatment action.

Abstract: Patient treatment may be optimized using Recurrent Neural Network (RNN) based state simulation and Reinforcement learning (RL) techniques to simulate future states and actions. A RNN state simulator and a RL action generator may be trained using patient data such as historical states and actions. The RL action generator may be optimized by applying the RNN state simulator to simulating future states and applying the RL action generator to generate recommended actions based on the simulated future states. This process may be iteratively performed until a computational convergence is reached by the RL action generator which may indicate that the RL action generator has been optimized. A patient state may be fed into the optimized RL action generator to generate an optimal recommended treatment action.

Abstract: An online system maintains an identity graph having links between different types of user identifying information (e.g., email addresses, phone numbers, user identifiers) describing various users of the online system. Based on information received from various sources describing relationships between different types of user identifying information describing a user, the online system generates confidence values for each link between different types of user identifying information. In some embodiments, a confidence value accounts for an amount of time since information describing a relationship between different types of user identifying information was received from a source.

Abstract: An online system provides content items to client devices for presentation to users and receives information describing actions by users performed by users via the client devices. Certain client devices withhold information uniquely identifying the client devices from the online system to prevent the online system from subsequently identifying a particular user from information uniquely identifying the client device. When the online system receives a description of an action from such a client device that matches an objective included in a content item presented by the online system, the online system identifies users to whom the content item was presented and who are associated with client device characteristics matching characteristics received from the client device. A model is applied by the online system to the identified users that determines a likelihood that at least one of the identified users to whom the content item was presented performed the action.

Abstract: An online system predicts gender, age, interests, or other demographic information of a user based on image data of the user, e.g., profile photos, photos the user posts of him/herself within an online system, and photos of the user posted by other users socially connected with the user, and textual data in the user's profile that suggests age or gender (e.g., like or dislikes similar to a population of users of an online system). The online system similarly predicts a user's interests based on the photos of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. The online system uses the predictions to build more information about the user in the online system, and provide improved and targeted content delivery to the user that may have disparate information scattered throughout different online systems.

Abstract: An electrochemical device includes a cathode including elemental selenium, elemental sulfur, or selenium-sulfur containing composite; a negative electrode; a separator; and an electrolyte including a poly(alkyleneoxide) siloxane; and a salt; wherein a concentration of the salt in the electrolyte is sufficient to minimize dissolution of polysulfides/polyselenides formed during cycling of the device.

Abstract: The present disclosure provides a liquid crystal display (LCD), where the LCD includes a backlight unit, an LCD panel, a frame glue sealant used to connect to the backlight unit and the LCD panel, and at least one gasket. At least one gasket is arranged on a side of the LCD panel toward the backlight unit or the at least one gasket is arranged on a side of the backlight unit toward the LCD panel. The at least one gasket maintains separation between the LCD panel and the backlight unit. The present disclosure uses arrangement of the gaskets to be between the backlight unit and the LCD panel, which controls the separation between the backlight unit and the LCD panel, thus further making it difficult to generate mura and improving display.

Abstract: An online system predicts viewability of content items based on user interactions associated with the content items. The online system sends content items for display via client devices. The online system receives a request for a report based on viewability of the content item. The online system receives user interactions with the content item and determines a value of a user interaction metric based on the received user interactions. The online system provides the value of the user interaction metric as input to a correlation model to predict a value of the viewability metric for the content items. The online system may generates report based on the predicted viewability metric value.

Abstract: An online system associates a user with a characteristic attribute of a geographic area in response to the user visiting the geographic area. The geographic area is identified based on visits by users of the online system, and attributes of entities associated with locations within the geographic area. A characteristic attribute is identified from the obtained attributes. A visit to the geographic area by a first user not associated with the characteristic attribute is identified. In response to identifying that the first user has visited the geographic area, the first user is associated with the characteristic profile attribute. Based at least in part on the association between the characteristic profile attribute and the first user, a content item is sent to a client device for presentation to the first user.

Abstract: A power tube connection structure includes a substrate, a printed circuit board, and a power tube, where a through groove allowing the power tube to pass through is cut into the printed circuit board, a mounting groove is cut into the upper surface of the substrate at a location corresponding to the through groove, one end of the power tube extends through the through groove, and is welded onto a bottom face of the mounting groove, the end of the power tube that extends into the mounting groove abuts onto a side wall of the mounting groove close to an output end of the power amplifier, and a solder flux escape channel is made into the side wall of the mounting groove close to the output end of the power amplifier.