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: 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: 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: A method of constructing a decision model includes: obtaining a rule template data and extracting each variable object and each template sample from the rule template data; clustering and analyzing the variable objects to obtain a clustering result; matching the clustering result with each template sample according to the rule template data, and serving the matched clustering result as a first feature; calculating a black sample probability for each variable object and serving the black sample probability of each variable object as a second feature; and constructing the decision model according to the first feature and the second feature.

Abstract: A method of data displaying, which includes: acquiring an information displaying instruction comprising a displaying manner; when the displaying manner is a first type displaying manner, acquiring a first data to be processed, a dimension sign corresponding to the treatment information, and associated relations between treatment information in different dimensions; generating a nodal profile according to the treatment information and the associated relations between the treatment information in different dimensions, recording the one-to-one correspondence relation between various nodes in the nodal profile and the treatment information; acquiring a dimension sign corresponding to each node according to the one-to-one correspondence relation between various nodes in the nodal profile and the dimension sign corresponding to the treatment information; and adding a corresponding tag information to each node according to a preset correspondence relation between the dimension sign and the tag information, generatin

Abstract: Methods for quantitatively determining a binding kinetic parameter of a molecular binding interaction are provided. Aspects of embodiments of the methods include: producing a magnetic sensor device including a magnetic sensor in contact with an assay mixture including a magnetically labeled molecule to produce a detectable molecular binding interaction; obtaining a real-time signal from the magnetic sensor; and quantitatively determining a binding kinetics parameter of the molecular binding interaction from the real-time signal. Also provided are systems and kits configured for use in the methods.

Abstract: Various embodiments disclosed relate to methods of treating subterranean formations including sequential use of at least two surfactants. In various embodiments, the present invention provides a method of treating a subterranean formation including sequentially placing in the subterranean formation a penetrating-aid surfactant and a pore-declogging surfactant.

Abstract: Methods and compositions for treating subterranean formations with treatment fluids comprising alkyl polyglycoside surfactants are provided. In one embodiment, the methods comprise providing a treatment fluid comprising an aqueous base fluid; and a surfactant comprising an alkyl polyglycoside or derivative thereof; introducing the treatment fluid into a wellbore penetrating at least a portion of a subterranean formation; and producing fluids from the wellbore during or subsequent to introducing the treatment fluid into the wellbore.

Abstract: A wireless communications method is applied to a communications system using a frequency domain resource with a specified bandwidth, where the frequency domain resource is divided into at least two frequency domain resource groups, each frequency domain resource group includes at least one resource block, the at least two frequency domain resource groups belong to a same cell, and the method includes: determining, from the at least two frequency domain resource groups, a target frequency domain resource group to be allocated to a target terminal device, where the target frequency domain resource group includes at least one frequency domain resource group; sending first indication information to the target terminal device, where the first indication information is used to indicate the target frequency domain resource group; and performing wireless communication with the target terminal device by using the target frequency domain resource group. Therefore, different user requirements can be flexibly met.

Abstract: Methods for treating subterranean formations are provided. In one embodiment, the methods comprise providing a treatment fluid comprising an aqueous base fluid and a surfactant comprising an ethoxylated amine or derivative thereof; introducing the treatment fluid into a wellbore penetrating at least a portion of a subterranean formation; and producing fluids from the wellbore during or subsequent to introducing the treatment fluid into the wellbore.

Abstract: A “Facet Recommender” creates conversational recommendations for facets of particular conversational topics, and optionally for things associated with those facets, from consumer reviews or other social media content. The Facet Recommender applies a machine-learned facet model and optional sentiment-model, to identify facets associated with spans or segments of the content and to determine neutral, positive, or negative consumer sentiment associated with those facets and, optionally, things associated with those facets. These facets are selected by the facet model from a list or set of manually defined or machine-learned facets for particular conversational topic types. The Facet Recommender then generates new conversational utterances (i.e., short neutral, positive or negative suggestions) about particular facets based on the sentiments associated with those facets. In various implementations, utterances are fit to one or more predefined conversational frameworks.

Abstract: Compositions and methods for formulating treatment fluids that comprise a surfactant having reduced and delayed adsorption. In one embodiment, the method comprises: introducing a first treatment fluid comprising an aqueous base fluid and a polyelectrolyte into a wellbore penetrating at least a portion of a subterranean formation; contacting at least a portion of the subterranean formation with the polyelectrolyte; and introducing a second treatment fluid comprising an aqueous base fluid and a surfactant into the wellbore penetrating at least the portion of the subterranean formation.

Abstract: A method for controlling a communications system. In one exemplary embodiment, at least one user attribute for a user associated with a first communication device is determined. A plurality of received audio stream snippets are analyzed based on the at least one user attribute. At least one audio stream snippet characteristic is determined for each received audio stream snippet of the plurality of received audio stream snippets based on the at least one user attribute of the user associated with the first communication device.

Abstract: Machine readable instructions for providing targeted advertisements for a piece of digital content receive a set of user metadata for a group of users. The machine readable instructions select at least one user from the group of users. In addition, the machine readable instructions select a term from a category of terms related to the piece of digital content. Moreover, the machine readable instructions determine a first value corresponding to the at least one user. Also, the machine readable instructions determine a second for the group of users. In addition, the machine readable instructions determine a user score based at least in part on the first value and the second value. When the user score is within a particular range, the machine readable instructions provide an advertisement for the piece of digital content to an electronic device associated with the at least one user.

Abstract: An online system measures performance of content presented to a plurality of identifiable and non-identifiable individuals based on matching user identifying information included in data describing presentation of the content and data describing performance of an action associated with the content. To reduce measurement inaccuracy resulting from incomplete matching of user identifying information associated with non-identifiable individuals, the online system generates models to extrapolate data describing an amount of unique individuals presented with the content, an amount of unique individuals who performed an action associated with the content, and an amount of unique individuals who performed the action associated with the content attributable to presentation of the content by a content publisher. The models are applied to data collected by the online system describing presentation of the content and performance of actions associated with the content.

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 reference station transmitter based distributed processing system and method for zero-difference correction. The system and method transfer a main computation task in conventional centralized data processing to a reference station transmitter for completion; the reference station transmitter realizes tasks such as conventional PPP resolving, PPP zero-difference ambiguity fixation and zero-difference correction product generation via data interaction with a server; and a user end generates a relevant virtual zero-difference correction by accessing a reference station area code address server, so as to realize PPP-RTK resolving under regional enhancement.

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: Provided are acidic treatment fluids comprising a weakly emulsifying surfactant, an aqueous base fluid, and an acid. In some embodiments, the treatment fluids are capable of forming short-lived oil-in-acid emulsions due, at least in part, to the interaction of at least a portion of the weakly emulsifying surfactant with one or more oil or gas molecules within a subterranean formation.

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.