Abstract: Provided is an electronic device comprising a touch display panel and an integrated chip. The touch display panel comprises a pixel array. The integrated chip is electrically connected to the pixel array. The integrated chip comprises a fingerprint sensing circuit and a display driving circuit. The fingerprint sensing circuit and the display driving circuit are electrically connected to a plurality of display data lines and sensing data lines by means of the same pin. The plurality of display data lines are respectively electrically connected to a plurality of color sub-pixels of the pixel array. The sensing data lines are electrically connected to a plurality of fingerprint sensing pixels of the pixel array. The plurality of color sub-pixels are a plurality of organic light emitting diode pixels.

Abstract: “An image sensing device is provided in the present invention. A control circuit determines a voltage change rate of a sensing signal according to a voltage value of the sensing signal generated by a light sensing unit during an estimation period, and controls an input adjustment circuit during an exposure period according to the voltage change rate to provide an input adjustment signal to a negative input end of an operational amplifier, such that a signal value of an amplified signal falls within a pre-set range during the exposure period.

Abstract: The present disclosure provides an application of a titanium carbide/porous carbon composite in electrochemical treatment of uranium-containing wastewater, and belongs to the technical field of wastewater treatment. The present disclosure provides the application of the titanium carbide/porous carbon composite in electrochemical treatment of uranium-containing wastewater. Titanium carbide (TiC) is a typical transition metal carbide and has good conductivity and excellent chemical stability; compared with a titanium dioxide/carbon nanomaterial, the titanium carbide/porous carbon composite has a rich pore structure that provides a large number of activated adsorption sites for adsorption of metal ions during electro-adsorption, so that the electro-adsorption efficiency can be substantially improved, and a better electro-adsorption effect is obtained.

Abstract: A method for locating a fault information is provided. The method includes: parsing error information of a target application to obtain version information and an error attribute of the target application; determining, based on the version information, a target mapping file corresponding to the error information; and determining a target location by utilizing the error attribute and the target mapping file, where the target location is used to determine a location of fault description content.

Abstract: The present disclosure provides an application of a titanium carbide/porous carbon composite in electrochemical treatment of uranium-containing wastewater, and belongs to the technical field of wastewater treatment. The present disclosure provides the application of the titanium carbide/porous carbon composite in electrochemical treatment of uranium-containing wastewater. Titanium carbide (TiC) is a typical transition metal carbide and has good conductivity and excellent chemical stability; compared with a titanium dioxide/carbon nanomaterial, the titanium carbide/porous carbon composite has a rich pore structure that provides a large number of activated adsorption sites for adsorption of metal ions during electro-adsorption, so that the electro-adsorption efficiency can be substantially improved, and a better electro-adsorption effect is obtained.

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: Calls received by a data center that are associated with a request are monitored. Features are subsequently extracted from the monitored calls so that a machine learning model may use such features to determine that the request will cause the data center to malfunction. The machine learning model can be trained using data derived from a transaction log for the data center. At least one correction action to prevent the data center from malfunctioning can then be initiated in response to such determination. Related apparatus, systems, techniques and articles are also described.

Abstract: The present disclosure provides an exception stack handling method, system, electronic device and storage medium and relates to the field of mobile Internet. The method may include: at the level of any executor in a distributed stream-type processing system including at least two executors, performing the following processing of: obtaining at least one exception stack from a message middleware when the executor in an idle state each time, collected exception stacks generated by users being stored in the message middleware; as for any exception stack, obtaining an anti-obfuscation map file corresponding to the exception stack, and performing anti-obfuscation processing for the exception stack by using the anti-obfuscation map file. The solution of the present disclosure may be applied to improve the processing speed.

Abstract: A predictive cache system learns data access patterns to build a graph of related data items. A main cache hosted by a cache server is accessed by a cache client having a local cache. A request to the cache server for one of the related data items generates a response including some or all of the related data items, which are stored in the local cache and can be served locally for subsequent requests. Predictive cache behavior coexists with legacy non-predictive cache operation. Load on the cache server and aggregate latency are considerably reduced. Graphs can be specific to a particular context. Locally cached content can be distributed and reused by other cache clients. The predictive cache system is suitable for large-scale web applications. Variations are described.

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 monitoring device (100), a monitoring system (200) and a method for acquiring a state parameter. The monitoring device (100) includes: a sensor interface (101), a controller (102), a switch element (103) and a monitoring element (104); the sensor interface (101) is electrically connected to the monitoring element (104) and the switch element (103), and the sensor interface (101) is configured to be accessed by a sensor (203); the controller (102) is connected to the sensor interface (101) via the monitoring element (104) and the switch element (103) that are connected in parallel; the monitoring element (104) is configured to, when the sensor interface (101) is monitored to be accessed by a sensor (203), transmit a monitoring information to the controller (102); and the controller (102) is configured to, control an on-off state of a switch in the switch element (103), to select the specified sensor (203) to be powered.

Abstract: Strata surfaces can be identified in well logs and correlated across the well logs taking into account manual corrections. For example, a computing device can receive well logs. The computing device can determine multiple stratum-surface correlations based on the well logs. Then, the computing device can receive user input indicating a correction to a particular stratum-surface correlation. Based on the correction to the particular stratum-surface correlation, the computing device can update some or all of the other stratum-surface correlations.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that cause the one or more processors to perform: training a machine learning model using one or more training features, wherein each training feature of the one or more training features is segmented in a respective group of one or more groups by a respective time period; executing, after training the machine learning model, the machine learning model to generate a forecasting system to predict at least a predicted return on an ad spend (ROAS) value; and providing access to the forecasting system to predict one or more input parameters for an electronic advertising campaign to forecast one or more campaign predictions associated with the electronic advertising campaign. Other embodiments are disclosed herein.

Abstract: Disclosed herein are systems, devices, and methods for an uncertainty-aware robot system that may perform a personalized risk analysis of an observed person. The uncertainty-aware robot system determines a recognized behavior for the observed person based on sensor information indicative of a gait of the observed person. The uncertainty-aware robot system determines an uncertainty score for the recognized behavior based on a comparison of the recognized behavior to potentially expected behaviors associated with the observed person and the environment. The uncertainty-aware robot system generates a remedial action instruction based on the uncertainty score.

Abstract: An observation carrier includes a bottom base, a lower cover, an upper cover, and a rotation cover. The bottom has at least one first positioning portion. The lower cover has at least one second positioning portion, and at least one third positioning portion. The lower cover is detachably disposed on the bottom base and positioned with the first positioning portion through the second positioning portion. The upper cover has at least one fourth positioning portion and is detachably disposed on the bottom base. The upper cover is positioned with the third positioning portion through the fourth positioning portion. An observation region is formed between the upper cover and the lower cover. The rotation cover is detachably disposed on the bottom base to limit the upper and lower covers on the bottom base. The rotation cover is adapted to rotate to be locked or released by the bottom base.

Abstract: A coin battery testing device, including a bottom base, an upper cover, a positive conducting structure, and a negative conducting structure, is provided. The bottom base has an observation region and is adapted to carry a coin battery by the observation region. The upper cover is detachably connected to the bottom base and adapted to cover the coin battery on the observation region. The upper cover has an opening and the opening corresponds to the observation region, such that the coin battery is adapted to be observed through the opening. The positive conducting structure is disposed on the bottom base and adapted to be connected to a positive electrode of the coin battery on the observation region. The negative conducting structure is disposed on the bottom base and adapted to be connected to a negative electrode of the coin battery on the observation region.

Abstract: An observation carrier for a microscope is provided. The observation carrier includes a bottom base, an upper cover, and a chip. The upper cover is detachably disposed on the bottom base and has a window. The chip is integrated on the upper cover and includes a main body and a plurality of electrodes. The main body has an observation region, and the observation region corresponds to the window and is adapted to carry a sample material. The electrodes are disposed on the main body and are connected to the observation region.

Abstract: Disclosed herein are non-naturally existing novel platelet variants or platelet like cells (PLCs), extracellular vesicles (EVs), and derivatives thereof. Composition comprising the same and methods for treatment or prevention of diseases or disorders therewith is also disclosed.

Abstract: A fingerprint sensing module including an image sensor, a microlens array and a light-shielding layer is provided. The image sensor has multiple pixels. Each of the pixels has multiple light-sensing regions physically separated. Each of the light-sensing regions is adapted to receive an image beam coming from a fingerprint of user. The microlens array is disposed above the image sensor. The microlens array includes multiple microlens. A focus region of each of the microlens covers a portion of the light-sensing regions. The light-shielding layer is disposed between the image sensor and the microlens array. The light-shielding layer has multiple openings, and the positions of the openings are corresponded to the positions of the pixels.

Abstract: Techniques are disclosed for the exploration of environments for the estimation and detection of hazards or near hazards within the environment and the mitigation of hazards therein. The exploration of the environment and mitigation of hazards therein may use one or more autonomous agents, including a hazard response robot. The estimation of the hazards may use a policy learning engine, and the hazards may be detected, and the associated risks therefrom, may be determined using a hazard estimation system.