Abstract: A brazing joint, a brazing method, and a device for promoting solder rheology and gas overflow are provided. The brazing joint includes a first base metal, a second base metal, and a brazing seam located therebetween. The brazing seam is formed by filling a solder in a gap formed by welding surfaces of the first and the second base metal and melting it to connect the first and the second base metal. The brazing seam is a concave-shaped brazing seam. The gap defines a first distance and a second distance, the first distance is located at an edge of the gap, the second distance is located at the edge or an inside of the gap, the first distance is greater than the second distance, and a curved surface is formed between the location of the first distance and the location of the second distance for transition.

Abstract: An implant delivery handle, an implant system, a delivery system and a method of use thereof are disclosed. Transmission systems in the implant delivery handle each include a lead screw, an inner tube coupling member, an outer gear and an inner gear. The outer gear rotatably engages the inner gear and is configured to drive rotation of the inner gear. The lead screw is coupled to a first inner tube (11) or a second inner tube (12) through the inner tube coupling member. The lead screw also engages the inner gear and rotates therewith to cause axial movement of the first inner tube (11) or the second inner tube (12). A transmission ratio of the outer gear to the inner gear is greater than 1.

Abstract: The application provides a display substrate, a method for manufacturing the same, and a display device. The display substrate includes a display region and a binding region located at a periphery of the display region. The binding region is provided with a drive circuit pin and a flexible circuit board pin, and a connecting trace for connecting the drive circuit pin and the flexible circuit board pin. The connecting trace includes a first connecting line and a second connecting line connected in parallel, the first connecting line and the second connecting line are in different layers, the first connecting line is between an interlayer insulating layer and a base substrate of the display substrate, the first connecting line and the interlayer insulating layer are separated by a first insulating layer, and the second connecting line is on a side of the interlayer insulating layer away from the base substrate.

Abstract: Example implementations described herein are directed to project management systems and milestone management. In example implementations, for input of a project having project data and employee data, such implementations involve executing feature extraction on the project data and the employee data to generate features; executing a self-profiling algorithm configured with unsupervised machine learning on the generated features to derive clusters and anomalies of the project; executing a performance monitoring process on the generated features to determine a probability of a transition to a milestone associated with a key performance indicator; and executing a supervised machine learning model on the generated features, the derived clusters, the derived anomalies, the probability of the transition to the milestone associated with a key performance indicator to generate a predicted performance of the project.

Abstract: A breast pump includes a milk bottle, a silica gel bowl, a silica gel flange and a main machine; the silica gel bowl is mounted inside the milk bottle, the side wall of the silica gel bowl is provided with an one-way valve, the silica gel bowl is provided with a milk collecting cavity and a negative pressure cavity, separated by a deformed wall of the silica gel bowl; the peripheral portion of the silica gel flange is tightly connected with the milk bottle, the central portion of the silica gel flange is tightly connected with the silica gel bowl and provided with a through hole communicated with the milk collecting cavity, and the inner wall of the milk bottle and the inner wall of the silica gel flange enclose to form the milk storage cavity; the main machine is arranged on the outside of the milk bottle.

Abstract: A battery cell includes a case having an opening and an end cover configured to cover the opening. The end cover comprises an end cover body and a support body. The end cover body is configured to be welded and fixed to the case. The support body is disposed on a bottom surface of the end cover body and is disposed along an edge of the end cover body in a circumferential direction. The support body is configured to abut against an inner side surface of the case.

Abstract: The present disclosure relates to the technical field of positive electrode materials of lithium ion batteries. Disclosed a positive electrode material having a multi-cavity structure and a preparation method therefor, and a lithium ion battery. The positive electrode material is formed by aggregation of a plurality of primary particles, and some of the primary particles grow in an oriented manner to form supporting structures, the supporting structures overlapping each other inside the positive electrode material to form a plurality of cavities. The particle strength of the positive electrode material is significantly improved, so that the positive electrode material has the advantage of a long service life. In addition, the impedance of the positive electrode material is reduced, thereby improving the power performance of the positive electrode material.

Abstract: Example implementations described herein are directed to a novel Automated Machine Learning (AutoML) framework that is generated on an AutoML library so as to facilitate functionality to incorporate multiple machine learning model libraries within the same framework through a solution configuration file. The example implementations further involve a solution generator that identifies solution candidates and parameters for machine learning models to be applied to a dataset specified by the solution configuration file.

Abstract: Example implementations described herein are directed to management of a system comprising a plurality of apparatuses providing unlabeled sensor data, which can involve executing feature extraction on the unlabeled sensor data to generate a plurality of features; executing failure detection by processing the plurality of features with a failure detection model to generate failure detection labels, the failure detection model generated from a machine learning framework that applies supervised machine learning on unsupervised machine learning models generated from unsupervised machine learning; and providing extracted features and the failure detection label to a failure prediction model to generate failure prediction and a sequence of features.

Abstract: The present disclosure provides a display substrate and a display panel, and belongs to the field of display technology. The present display substrate includes a display region and a peripheral region surrounding the display region; the display substrate includes: a base substrate; a plurality of insulating layers sequentially arranged along a direction away from the base substrate; wherein each of the plurality of insulating layers is located in the display region and the peripheral region; one or more protrusion structures arranged between at least two adjacent ones of the plurality of insulating layers and in the peripheral region.

Abstract: A display substrate, a preparation method and driving method therefor, and a display apparatus. The display substrate includes a substrate and a switch structure arranged on the substrate, the switch structure being electrically connected to a control signal terminal, a signal input terminal and a signal output terminal. The switch structure comprises a switching unit. The switching unit comprises a first transistor and a second transistor; and the types of the first transistor and the second transistor are opposite. The first transistor comprises: a first active layer, a first gate electrode, a first source electrode, and a first drain electrode. The second transistor comprises: a second active layer, a second gate electrode, a second source electrode, and a second drain electrode.

Abstract: Example implementations described herein are directed to systems and methods for generation and deployment of automated and autonomous self-learning machine learning models, which can include generating a predictive model and a prescriptive model through an offline learning process at a first system; controlling operations of a second system through deploying the predictive model and the prescriptive model to the second system; and autonomously updating the predictive model and the prescriptive model from feedback from the second system through an online learning process while the prescriptive model and the predictive model are deployed on the second system.

Abstract: An underwater cleaning robot system includes an underwater robot and an overwater control platform, the underwater robot includes a cleaning robot and a driving robot, and the cleaning robot is carried on the driving robot; and the cleaning robot includes a motor and a pump, the pump is connected to the motor and driven by the motor to generate high-pressure fluid, and the overwater control platform communicates with the cleaning robot and the driving robot to control the cleaning robot and the driving robot. The overwater control platform and the underwater robot are connected by a thin zero-buoyancy cable, and the working range is over 1000 meters.

Abstract: An adhesive application apparatus and a battery production line are provided. The adhesive application apparatus includes an unwinding mechanism, a first winding mechanism, an adhesive application mechanism, and a second winding mechanism. The unwinding mechanism is configured to dispose and unwind the double-sided adhesive. The first winding mechanism is configured to peel off and wind the first release paper. The adhesive application mechanism and the winding mechanism jointly define a first path, where the first path is used to guide the adhesive strip to move forward. The adhesive application mechanism includes an adhesive application member disposed on a side of the first path, where the adhesive application member is configured to applies pressure from a side of the first path to the double-sided adhesive, so as to attach the adhesive strip on an object surface. The second winding mechanism is configured to peel off and wind the second release paper.

Abstract: Example implementations described herein are directed to a novel Automated Machine Learning (AutoML) framework that is generated on an AutoML library so as to facilitate functionality to incorporate multiple machine learning model libraries within the same framework through a solution configuration file. The example implementations further involve a solution generator that identifies solution candidates and parameters for machine learning models to be applied to a dataset specified by the solution configuration file.

Abstract: The present disclosure provides an array substrate and a display panel. The array substrate includes a base substrate and at least one signal line unit in a fan-out region of the base substrate. Each of the at least one signal line unit includes two first signal lines and one second signal line, and the two first signal lines and the one second signal line are respectively in different layers and extend in a same direction. A center line of an orthographic projection of the one second signal line on the base substrate overlaps with a center line of an orthographic projection of an interval region between the two first signal lines.

Abstract: A method for evaluating theoretical potential of wind energy includes steps of: (1) selecting a target area for estimation of theoretical reserves of wind energy, and extracting a coordinate range of the target area; (2) presetting a spatial height of the target area d in step (1); (3) obtaining meteorological data of a wind speed and an air density of the target area in step (2); (4) according to the meteorological data obtained in step (3), calculating a theoretical wind reserves per unit area of the target area; (5) calculating an area size of the target area; (6) according to the meteorological data of the wind speed and the air density obtained in step (3), the spatial height of the target area obtained in step (2), and the area size of the target area obtained in step (5), calculating to obtain regional theoretical reserves of wind.

Abstract: A theoretical reserve evaluation method for ocean current energy includes steps of: 1) selecting a target region, and extracting a coordinate range of the target region; 2) obtaining a seabed water depth of the target region; 3) obtaining hydrological data of flow velocities and seawater densities of a target region space; 4) calculating a theoretical reserve of the ocean current energy per unit area of the target region according to the hydrological data, 5) calculating an area of the target region; and 6) calculating the theoretical reserves of the ocean current energy within a spatial range of the target region according to the hydrological data of the flow velocities and the seawater densities obtained in the step 3), the seabed water depth of the target region obtained in the step 2), and the area of the target region obtained in the step 5).

Abstract: Provided is a touch display substrate. The touch display substrate includes a base substrate, including a display region and a non-display region; a plurality of touch electrodes disposed in the display region; and a plurality of signal transmission circuits, a plurality of first control lines, a plurality of second control lines, a target signal line, and a plurality of touch signal lines that are disposed in the non-display region.

Abstract: A display substrate, a preparation method and driving method therefor, and a display apparatus. The display substrate includes a substrate and a switch structure arranged on the substrate, the switch structure being electrically connected to a control signal terminal, a signal input terminal and a signal output terminal. The switch structure comprises a switching unit. The switching unit comprises a first transistor and a second transistor; and the types of the first transistor and the second transistor are opposite. The first transistor comprises: a first active layer, a first gate electrode, a first source electrode, and a first drain electrode. The second transistor comprises: a second active layer, a second gate electrode, a second source electrode, and a second drain electrode.