Abstract: The technology disclosed relates to distributing a trained master deep learning (DL) stack with stored parameters to a plurality of organizations, to detect organization sensitive data in images, referred to as image-borne organization sensitive documents, and protecting against loss of the image-borne organization sensitive documents. Disclosed is providing organizations with a DL stack update trainer, under the organizations' control, configured to allow the organizations to perform update training to generate updated DL stacks, without the organizations forwarding images of organization-sensitive training examples, and to save non-invertible features derived from the images, ground truth labels for the images, and parameters of the updated DL stacks.

Abstract: A pressure regulator module for a chip-based microfluidic platform is provided. The module includes a microfluidic channel for passing flowable material from the inlet region through the outlet region and into a downstream compartment; one or more microvalves fluidly connected to the microfluidic channel and upstream of the outlet region; and one or more reservoirs fluidly connected to the microvalves, for receiving flowable material diverted by the microvalves, where a flow of flowable material passing from the inlet region toward the downstream compartment is at least partially diverted by the microvalves into the reservoirs as a result of a pressure increase in the microfluidic channel. In some versions, the microvalves are capillary burst valves. A microfluidic chip containing the module and a method of using the module are provided.

Abstract: Embodiments of the present disclosure relate to a data driving circuit, a driving method thereof, an array substrate, and a display panel. The data driving circuit includes a data driver, a multiplex circuit, and a control circuit. The data driver includes M data output terminals, and each of the data output terminals provides a data signal to L data lines via the multiplex circuit. The multiplex circuit includes M×L switch groups, and each of the switch groups includes N switch tubes and is coupled between one data line and the corresponding data output terminal. Each switch tube is coupled to one of L×N gate control terminals of the control circuit. Each gate control terminal is coupled to M switch tubes that are spaced apart from each other by (L×N×1) switch tubes. In the embodiments, M is an integer, and L and N are integers greater than or equal to 2.

Abstract: A circuit substrate has a first area and a second area. The second area includes a rounded corner region and a first rectangular region connected to the rounded corner region. The first rectangular region extends along a second direction. The circuit substrate includes: a plurality of gate lines disposed in the first area, and a gate driver on array (GOA) circuit disposed in the second area. The GOA circuit including at least one GOA unit disposed in the rounded corner region and a GOA unit disposed in the first rectangular region. Along the first direction, a length of a GOA unit in the rounded corner region is less than a length of the GOA unit in the first rectangular region; and along the second direction, a width of the GOA unit in the rounded corner region is greater than a width of the GOA unit in the first rectangular region.

Abstract: The invention relates to a button lithium ion battery, a preparation method thereof, and a method of producing a lithium ion cell composite flat sheet, wherein the button lithium ion battery comprises a battery housing, a cell accommodated in the battery housing and an electrolyte filled in the battery housing; the cell is formed by winding a composite flat sheet in which a first separator, a positive piece, a second separator and a negative piece are sequentially stacked and hot-laminated to form an integrated structure. The cell of the button lithium ion battery is formed by winding a composite flat sheet, so that winding efficiency can be improved, and misalignment can be avoided; moreover, chances of hand contact can be reduced, the influence of dust and water vapor can be avoided, and the quality of the lithium battery can be improved to the maximum extent.

Abstract: A method for detecting and protecting against abnormal user behavior is described. The method may include generating a tensor model based on a set of user information within a temporal period. The tensor model may include a behavioral profile associated with a user of a set of users. In some examples, the method may include determining that a behavior associated with the user of the set of users is abnormal based on the tensor model, adapting the tensor model based on feedback from an additional user of a set of additional users different from the set of users, and performing a security action on at least one computing device to protect against the abnormal user behavior based on the adapting.

Abstract: An electrostatic discharge protection circuit, a display substrate and a display apparatus are disclosed. The electrostatic discharge protection circuit includes: a first conductive portion, having an end portion; and at least one electrostatic discharge portion, arranged on a same layer as the first conductive portion and spaced from the end portion of the first conductive portion, the at least one electrostatic discharge portion being configured to discharge electrostatic charges generated at the end portion of the first conductive portion.

Abstract: The disclosed computer-implemented method for preparing honeypot computer files may include (1) identifying, at a computing device, a search term used by a cyber attacker in an electronic search request, (2) identifying, without regard to a search access restriction, a sensitive computer document in search results stemming from the electronic search request, (3) creating, as a security action in response to the electronic search request, a honeypot computer file based on the sensitive computer document and including the identified search term, and (4) placing the honeypot computer file in the search results. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Embodiments of the present disclosure provide an array substrate, a display panel, and a display apparatus. The array substrate includes: a display region for displaying an image; a non-display region; a shift register provided in the non-display region; a gate line provided in the display region and extending along a first direction; and a gate signal output line, provided in the non-display region and having a first end and a second end. The first end of the gate signal output line is connected to the shift register, and the second end of the gate signal output line is connected to the gate line at a side of the gate line in a second direction perpendicular to the first direction.

Abstract: Detecting abnormal user behavior via temporally regularized tensor factorization.

Abstract: Disclosed is detecting identification documents in images (image-borne identification documents) and protecting against loss of the image-borne identification documents—training a DL stack by forward inference and back propagation using labelled ground truth data for the image-borne identification documents and the examples of other image documents. The DL stack includes a first set of layers closer to an input layer and a second set of layers further from the input layer, the first set of layers being pre-trained to perform image recognition before exposing the second layer of the DL stack to the labelled ground truth data for the image-borne identification documents and the examples of other image documents. Also included is storing parameters of the trained DL stack for inference from production images, and using a production DL stack with the stored parameters to classify at least one production image by inference as containing a sensitive image-borne identification document.

Abstract: Disclosed is detecting screenshot images and protecting against loss of sensitive screenshot image data. The method collects examples of screenshot images and non-screenshot images, creates labelled ground-truth data for the examples, and applies re-rendering of collected images to represent variations that may contain sensitive information. The method includes training a DL stack by forward inference and back propagation using labelled ground truth data for the screenshots, storing parameters of the trained DL stack for inference from production images, and using a production DL stack with the stored parameters to classify at least one production image by inference as containing a screenshot image. Further, DL stack includes a first set of layers closer to an input layer being pre-trained to perform image recognition before exposing a second set of layers further from the input layer of DL stack to the labelled ground truth data for the screenshot images and non-screenshot images.

Abstract: A quaternary lactam compound of formula (I). The compound is used in the manufacture of a medicament for the treatment and/or prevention of thrombotic or thromboembolic disorders.

Abstract: An integrated microgrid management system includes hardware operating as a node on an electrical power network. The node includes memory storing program code, a communications channel operatively connected to a plurality of controllable power devices, and a processor. In an embodiment, the processor is configured to implement a three-phase AC unbalanced model of a microgrid network, for both low and medium voltage networks. The processor is further configured to implement a topology processor that creates a map identifying controllable power devices that are connected to the network and how said controllable power devices are connected. The processor also implements an online power flow engine that uses the map and the three-phase AC unbalanced model of the network to generate commands to control the plurality of controllable power devices. Adaptive self-configuration logic and an optimization engine that performs multi-objective optimization are further disclosed.

Abstract: A shift register includes a pull-up control circuit, a pull-up circuit, a pull-down control circuit, a pull-down circuit, and a reset circuit. The pull-down circuit is connected to the pull-down node, the pull-up node, a second control terminal, a first voltage terminal, and a signal output terminal, and is configured to pull down potentials of the pull-up node and the signal output terminal to a potential of the first voltage terminal under the control of the pull-down node; moreover, the pull-down circuit is further configured to pull down potentials of the pull-up node and the signal output terminal to a potential of the first voltage terminal under the control of a signal from the second control terminal.

Abstract: A circuit substrate has a first area and a second area. The second area includes a rounded corner region and a first rectangular region connected to the rounded corner region. The first rectangular region extends along a second direction. The circuit substrate includes: a plurality of gate lines disposed in the first area, and a gate driver on array (GOA) circuit disposed in the second area. The GOA circuit including at least one GOA unit disposed in the rounded corner region and a GOA unit disposed in the first rectangular region. Along the first direction, a length of a GOA unit in the rounded corner region is less than a length of the GOA unit in the first rectangular region; and along the second direction, a width of the GOA unit in the rounded corner region is greater than a width of the GOA unit in the first rectangular region.

Abstract: Disclosed is customizing a DL stack to detect organization sensitive data in images and protecting against loss of the sensitive documents, pre-training a master DL stack by forward inference and back propagation using labelled ground truth data for image-borne sensitive documents and other image documents. The DL stack includes layers closer to an input layer pre-trained to perform image recognition before exposing a second set of layers further from the input layer to the labelled ground truth data for the image-borne sensitive documents and other image documents. Disclosed is storing parameters of the trained master DL stack for inference from production images, distributing the stack with the stored parameters to organizations and permitting them to perform update training of the DL stack using examples of the organization sensitive data in images and to save parameters of the updated DL stacks, and use respective updated DL stacks to classify production images.

Abstract: Disclosed are an intelligent traditional Chinese medicine diagnosis method, system and traditional Chinese medicine system, the method comprising: a server side obtaining, from distributed client clusters, inspection training data, auscultation-olfaction diagnosis training data, interrogation training data and palpation training data of a patient; the server side training, by using the inspection training data, the auscultation-olfaction diagnosis training data, the interrogation training data and the palpation training data, a model to be trained established on the basis of a deep neural network algorithm to obtain a trained model; and the server side using the trained model to perform diagnosis with respect to disease data of the patient to obtain a diagnostic result of the disease data.

Abstract: The present disclosure provides a display substrate such that each pixel unit of the display substrate includes a switching circuit and a control circuit, and the switching circuit is connected to a corresponding gate line, a control circuit of a respective pixel unit, and a corresponding pixel electrode. The control circuit is configured to transmit a data signal on a corresponding data line to a switching circuit of the respective pixel unit under control of a corresponding control signal line, and n is an integer not less than 2. The present disclosure further provides a display device including the above display substrate and a driving method for the above display substrate.

Abstract: A gate driving circuitry, a method for driving the same and a display device are provided. The gate driving circuitry includes N gate driving units and N groups of clock signal lines, and an n-th gate driving unit is correspondingly connected to an n-th group of clock signal lines, where N is an integer greater than 1, and n is a positive integer less than or equal to N. Each group of clock signal lines includes 2a clock signal lines, where a is equal to 1, or a is an even number; each of the gate driving units includes at least one shift register module; and each shift register module in the n-th gate driving unit is connected to the n-th group of clock signal lines.