Abstract: Methods for delivering treatment chemicals into a subterranean formation using treatment fluids that include nanoemulsions are provided. In some embodiments, the methods include providing a treatment fluid including an aqueous base fluid and a nanoemulsion including a water-soluble internal phase, a water-soluble external phase, and a surfactant, the nanoemulsion being formed by mechanically-induced shear rupturing; and introducing the treatment fluid into at least a portion of a subterranean formation at or above a pressure sufficient to create or enhance at least one fracture in the subterranean formation.

Abstract: According to certain embodiments, a system comprises a primary unit and a plurality of secondary units each having a unique unit number. The primary unit is configured to communicate a command to each secondary unit with instructions to reply during a time window. The primary unit is also configured to receive a reply communication indicating the secondary unit's unique unit number from at least one of the secondary units, and determine an address to assign to the replying secondary unit based at least in part on the received unique unit number.

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.

Abstract: A cathode active material includes NaxMO2 having at least a first phase, a second phase different from the first phase, and a third phase that is different from the first and second phases, wherein each phase is independently selected from Pm or On, where m and n are individually an integer, M is a transition metal or a mixture of transition metals, and x is greater than 0 and less than or equal to 1.

Abstract: An online system maintains characteristics for its users and may access characteristics of users maintained by a third party system. The online system may select content for a user of the third party system based on characteristics maintained by the third party system. If the third party system does not maintain a characteristic for its users, the generates a model predicting the characteristic for third party system users based on a set of online system users identified based on characteristics of third party system users. The online system clusters third party system users based on the predicted characteristic for other third party system users connected to the third party system user. Using verified characteristics for third party system users from a trusted third party system, the online system determines an accuracy of the predicted characteristic for third party system users in a cluster.

Abstract: This disclosure provides a computer-implemented method. The method may include generating one or more features based on a first utterance from a first interlocutor in a dialog and a second utterance from a second interlocutor in the dialog.

Abstract: A variable damping shock absorber has a sleeve and a piston rod, one end of the sleeve being an opening and the other end being closed, one end of the piston rod being inserted through the opening and slidable in an axial direction inside the sleeve. Two sets of friction plates are arranged in the axial direction between an inner wall of the sleeve and an outer wall of the piston rod. A friction plate is fixed in the axial direction with the inner wall of the sleeve, and a sliding friction force between each friction plate set and the outer wall of the piston rod gradually decreases from the closed end to the opening end of the sleeve. The structure can ensure that the damping force is variable under different load and rotational speed conditions.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate predicting personalized risks based on intrinsic factors and extrinsic factors are provided. In one example, a computer-implemented method comprises: collecting, by a system operatively coupled to a processor, intrinsic factors and extrinsic factors associated with infectious diseases; generating, by the system, a probabilistic model based on the intrinsic factors and extrinsic factors, wherein the model incorporates node characteristics into infection probability; and refining, by the system, the model through concurrently learning respective node thresholds and hidden infection network structure of the model.

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.