Abstract: A preparation method of a backplane includes: forming an insulating structure layer having a groove on a base substrate by a mask exposure process, the groove being used for accommodating a metal trace; and repeating a metal sub-layer forming step including an ashing process and a wet etching process multiple times to form the metal trace positioned in the groove.

Abstract: A method for making a battery electrode is provided. A carbon nanotube material is provided. The carbon nanotube material is placed into a furnace containing carbon dioxide. The furnace is heated to a temperature about 800° C. to about 950° C., and the carbon nanotube material is oxidized. The oxidized carbon nanotube material is dispersed in a first solution to form a carbon nanotube suspension. An active material is ultrasonically dispersed in a second organic solvent to form an active material dispersion. The carbon nanotube suspension is mixed with the active material dispersion to form a second solution. The second solution is stirred by ultrasonic means and dried after filtering.

Abstract: A method and apparatus for providing power includes a power socket module having a first conducting layer and a second conducting layer. An insulating layer may be positioned in between the first and second conducting layers. A plug includes a first prong having a first length and second prong having a second length, where the first length is longer than the second length.

Abstract: Provided are embodiments for a system for validating a smoke detection layout, where the system includes a memory and a processor. The processor is configured to receive one or more inputs, model transport and dispersion of smoke to a smoke detector of an environment based on the one or more inputs, wherein the model is based on computational fluid dynamics (CFD) function, and select a subset of input parameters from the one or more inputs to test. The processor is also configured to test the smoke detection system layout using the selected subset of input parameters, determine an alarm time probability using uncertainty quantifications for the selected subset of input parameters, and provide the alarm time probability and confidence level for the selected subset parameters. Also provided are embodiments for a method to validate a smoke detection system layout.

Abstract: Provided are embodiments for a system for designing a layout for a smoke detection system, the system include a storage medium, the storage medium being coupled to a computing engine. The computing engine is configured to receive one or more inputs, model transport and dispersion of smoke in an environment based on the one or more inputs, wherein the model is based on a computational fluid dynamics (CFD) function, and detect the smoke using a plurality of probes. The computing engine is also configured to define a layout of the smoke detectors based on the smoke detectors being able to detect the smoke in the environment, and provide a map of the smoke detectors for the layout. Also provided are embodiments for a method to design a layout for a smoke detection system.

Abstract: Compounds having methyltransferase inhibitory activity are disclosed. The compounds have the structures The compounds disclosed are useful in the treatment of cancer and similar diseases associated with inappropriate methyltransferase activity.

Abstract: The present disclosure describes a type of virtual machine, which the present disclosure may refer to as a harvest virtual machine, that may allow improved utilization of physical computing resources on a cloud-computing system. First, the harvest virtual machine may be evictable. In other words, higher priority virtual machines may preempt the harvest virtual machine's access to physical computing resources. Second, the harvest virtual machine may receive access to a dynamic amount of physical computing resources during the course of its operating life. Third, the harvest virtual machine may have a minimum size (in terms of an amount of physical computing resources) and may terminate whenever the harvest virtual machine has access to an amount of physical computing resources less than the minimum size.

Abstract: The present disclosure discloses a bandgap reference power generation circuit and an integrated circuit. The bandgap reference power generation circuit includes a bias circuit and a bandgap reference core circuit. The bias circuit is configured to provide starting current according to a bias voltage. The bandgap reference core circuit is connected to the bias circuit to receive the starting current and goes into a stable operating state according to the starting current to output a preset voltage or preset current. The integrated circuit includes the bandgap reference power generation circuit. By the aforementioned method, the present disclosure can simplify a circuit design and reduce power consumption.

Abstract: A device for cage jamming buffer of large-tonnage hoisting system of ultra-deep shaft is provided. End cage jamming buffer mechanisms are added at both ends of an automatic wire rope tension balancing mechanism, wherein the end cage jamming buffer mechanisms include an end buffer module and an end fixing module, and the end buffer module and the end fixing module are respectively mounted on shafts of the automatic wire rope tension balancing mechanisms at two ends. The end buffer module mainly consists of a buffer bearing pedestal, a limit block, a buffer block, and a stop block sequentially mounted on the shaft of the automatic wire rope tension balancing mechanism at one end. The end fixing module mainly consists of a fixing bearing pedestal and a fixing block mounted on the shaft, wherein the fixing bearing pedestal is connected to a transmission gear by an adjusting bolt, and the fixing block is located between the transmission gear and the fixing bolt.

Abstract: A method for managing a mailbox based on user activity comprises receiving output signals from each of a plurality of mailbox workloads. The output signals may be indicative of user activity for each workload. A last user action time may be determined based on the received output signals using pre-determined, workload specific criteria. A pre-determined action may be performed on the mailbox responsive to a lapsed duration from the last user action time increasing above a threshold.

Abstract: A computer-implemented method for clinical decision support is provided according to an embodiment of the present disclosure. In the method, patient information can be obtained that comprises at least one clinical condition. A graph can be searched for at least one rule matching the at least one clinical condition. The graph represents a plurality of rule sets. The rule set comprises one or more rule. The rule can be indicated with a path comprising at least one first node and a second node. The first node can indicate a clinical condition, and the second node can indicate a clinical conclusion. Then, a clinical conclusion can be determined based on the at least one path in response that the at least one path matching the at least one clinical condition is searched out.

Abstract: A method is described for estimating hydrocarbon reservoir attributes including obtaining a geophysical dataset and a geological dataset; obtaining a parameter model, the parameter model having been conditioned by training an initial parameter model using training data, wherein the geological data includes well data and the training data includes the well data; picking a surface in the geophysical dataset; assigning stratigraphic meaning to the at least one surface based on the geological dataset; identifying at least one region of interest on the at least one surface; generating statistical seismic attributes for the at least one region; identifying critical attributes among the statistical seismic attributes by applying the parameter model to generate response variable maps for the at least one region; and generating uncertainty maps for each of the critical attributes and for the response variables. The method may be executed by a computer system.

Abstract: A computing device, including a processor configured to receive a training data set including a first plurality of log entries. Each log entry of the first plurality of log entries may be associated with a tag indicating whether the log entry includes sensitive data. The processor may be further configured to train a sensitivity classification neural network using the training data set. The processor may be further configured to apply the sensitivity classification neural network to a test data set including a second plurality of log entries to obtain a first classified test data set. The processor may be further configured to apply a rule-based data sensitivity classification algorithm to the test data set to obtain a second classified test data set. Based on the first classified test data set and the second classified test data set, the processor may be further configured to modify the sensitivity classification neural network.

Abstract: In view of the current pollution to sewage by nitrate nitrogen, the present invention discloses a method for promoting denitrification to remove nitrate nitrogen in water by magnetic resins. In the method disclosed by the present invention, magnetic anion exchange resins are in contact with and mixed with sewage, and nitrate nitrogen in the sewage is removed quickly and efficiently by both the ion exchange between the magnetic anion exchange resins and the nitrate nitrogen in the sewage and the denitrification enhanced by the magnetic material. Meanwhile, the regeneration and recycle of the magnetic anion exchange resins are realized by the denitrification of microorganisms.

Abstract: A Demand Response (DR) physical potential evaluation method for a feeder line is provided, which includes that: a load curve of a part to be identified in a load curve of a feeder line to be evaluated is acquired; a load database is created on the basis of a historical load curve of loads of predefined types; load types and total number of the loads to be identified are determined on the basis of the load curve of the part to be identified and the load database; a physical potential of the loads of each of the types is acquired according to the load types of the loads to be identified; and an overall aggregated physical potential of the loads to be identified is obtained according to the physical potential of the loads of each of the types and a number of the loads of each of the types.

Abstract: Disclosed are an array substrate, and a display device, and a method for manufacturing the same. The array substrate includes: a base substrate, and a thin film transistor, a planarization pattern, a bonding pattern, and a conductive structure that are disposed on the base substrate. The thin film transistor, the planarization pattern, and the bonding pattern are laminated in a direction going distally from the base substrate. The planarization pattern is provided with a via and a groove, the conductive structure is disposed in the via, wherein the bonding pattern is conductive and is electrically connected to the thin film transistor by the conductive structure, an orthographic projection of the bonding pattern on the base substrate falls outside an orthographic projection of the groove on the base substrate, and the groove is configured to accommodate an adhesive.

Abstract: The present disclosure relates to a method of manufacturing an array substrate. The method of manufacturing an array substrate may include forming a main via hole in a substrate, filling a first conductive material in the main via hole, and forming a pixel circuit layer on a first surface of the substrate. The pixel circuit layer may include a first via hole. An orthographic projection of the first via hole on the substrate may at least partially overlap the corresponding main via hole.

Abstract: A method is described for property estimation including receiving a seismic dataset representative of a subsurface volume of interest and a well log from a well location within the subsurface volume of interest; identifying seismic traces in the seismic dataset that correspond to the well location to obtain a subset of seismic traces; windowing the subset of seismic traces and the well log to generate windowed seismic traces and a windowed well log; multiplying the windowed seismic traces and the windowed well log by a random matrix to generate a plurality of training datasets; and training a neural network using the plurality of training datasets. The method may be executed by a computer system.

Abstract: Disclosed in the present invention is a voltage and current control method for a direct-current transmission system. The method comprises: calculating a DC voltage reference value of a voltage source converter of a DC voltage control end, on the basis whether a direct-current voltage end of a direct-current pole of a direct-current transmission system substantially controls a direct-current voltage; using ½ of the calculated direct-current voltage reference value of the voltage source converter as a bridge arm voltage direct-current bias, calculating a difference between the direct-current voltage reference value of the voltage source converter and a measured direct-current voltage value, and inputting the difference into a direct-current voltage control outer loop of the voltage source converter to perform closed-loop control, so as to control the direct-current voltage or the direct current of the direct-current pole.

Abstract: In an example embodiment, a member profile corresponding to a member of a social networking service is obtained. Usage information for the member is then obtained, and one or more member metrics are calculated based on the member profile and usage information for the corresponding member. A plurality of features are extracted from the member profile and the one or more member metrics. The plurality of features is inserted into an organization name confidence score model to obtain a confidence score for an organization name in the member profile.