Abstract: Provided are a solar cell, a manufacturing method thereof and a photovoltaic module. The solar cell includes a semiconductor substrate, the semiconductor substrate having a first surface and a second surface opposite to each other; a first passivation layer and a first electrode layer that are located on the first surface of the semiconductor substrate; and a second passivation layer and a second electrode layer that are located on the second surface of the semiconductor substrate. A donor material film layer is provided between the first passivation layer and the first surface of the semiconductor substrate, and/or an acceptor material film layer is provided between the second passivation layer and the second surface of the semiconductor substrate.

Abstract: An electro-conductive B4C—TiB2 has a microstructure in which large B4C grains are coated by small TiB2 grains. The composite ceramic includes 10˜30% by volume of TiB2. A method for preparing the electro-conductive B4C—TiB2 composite ceramic includes: (1) weighing B4C, TiC, and amorphous B powder; (2) mixing evenly and drying thoroughly the powders; and (3) loading the mixed powder into a graphite mold; and placing the graphite mold in a spark plasma sintering furnace for sintering under vacuum, where the sintering is performed at 2000° C. and 50 MPa for 5˜20 min.

Abstract: The embodiments of the application provide a backlight module and a displaying device, relating to the technical field of display. The backlight module comprises a first support structure, an optical film material and a buffer structure; the first support structure is arranged on a side away from a light-outgoing side of the optical film material, and the first support structure and the optical film material have a through-hole; the buffer structure comprises a first buffer portion arranged in the through-hole, and a rigidity of the first buffer portion is less than a rigidity of the first support structure. The backlight module is internally provided with the buffer structure, and the first buffer portion in the buffer structure is arranged in the through-hole that penetrates through the first support structure and the optical film material.

Abstract: Provided are a sampling object determination method and apparatus, an electronic device, and a computer-readable storage medium. The sampling object determination method includes: determining a sampling number through a sampling proportion and a total number of users of an application; determining at least one version in order of versions of the application from high to low, where a sum of a number of users of the at least one version is greater than or equal to the sampling number; and determining the sampling number of users in the users of the at least one version as sampling objects.

Abstract: Provided is a moving target positioning capability testing device for a coal mine, including a timing unit, a control unit, a laser emitting unit, a laser receiving unit and a constant-speed traveling device, wherein multiple groups of clocks, laser receivers and laser emitters, as test points, are arranged; and the constant-speed traveling device is used to drive positioning identification cards fixed on a positioning vehicle to move forwards from a position outside a coverage boundary of a positioning sub-station in a constant-speed manner, count time of the clocks, and calculate a difference between a position of the positioning vehicle fixed with the positioning identification cards after moving a distance at the same time as a receiving time recorded by a moving target positioning system server and a position of the clock as a dynamic error evaluation value of the moving target positioning ability.

Abstract: Described is a method of setting up a direct connection between edge sites on a 5G communications network. The method comprises: configuring 5G network functions (NFs) in the 5G communications network; configuring 5G NFs at the edge sites, if not already configured; and based on said configured NFs, setting up a direct tunnel between the edge sites according to a pre-defined tunnel policy.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Abstract: In a job management environment comprising a plurality of job systems and a scheduler for scheduling a job submitted to the job management environment to a job system for running, a processor, in a first job system, intercepts, from outside of a first container in the first job system, a first job from being sent to the scheduler. A processor, in the first job system, determines whether the first job is submitted from a container in the first job system. In response to a first determination that the first job is submitted from a container in the first job system, a processor, in the first job system, determines contexts of the first job, the contexts of the first job including a context related to the first container. A processor, in the first job system, sends the first job together with the contexts of the first job to the scheduler.

Abstract: A mineralization agent, including, by weight: 5-50% of a film-forming protein, 5-40% of an amelogenin peptide, 5-30% of a water-soluble phosphate, 4-20% of a tris(2-carboxyethyl) phosphine hydrochloride, and 1-10% of a pH regulator. The film-forming protein is selected from the group consisting of lysozyme, bovine serum protein, insulin, ?-lactalbumin, or a mixture thereof.

Abstract: A method, apparatus, electronic device, and storage medium for character recognition are provided. The method may perform image processing on an acquired original image to obtain a region to be recognized. The region may include a character. The method may determine an area ratio of the region to be recognized on the original image. The method may determine an angle between the region to be recognized and a preset direction. The method may determine a character density of the region to be recognized. The method may perform character recognition on the character in the region to be recognized in response to determining that the area ratio is greater than a ratio threshold, the angle is less than an angle threshold, and the character density is less than a density threshold.

Abstract: A method for determining an intracranial hemodynamic parameter according to embodiments of the present disclosure is provided, which includes determining a three-dimensional a model of a blood vessel based on CT angiographic data, and determining at least one of a boundary condition of each inlet or a boundary condition of each outlet in the three-dimensional vessel model based on CT perfusion imaging data and CT angiographic data.

Abstract: A digital microfluidic chip and a digital microfluidic system. The digital microfluidic chip comprises: an upper substrate and a lower substrate arranged opposite to each other; multiple driving circuits and multiple addressing circuits disposed between the lower substrate and the upper substrate; and a control circuit, electrically connected to the driving circuits and the addressing circuits. The control circuit is configured to apply, in a driving stage, a driving voltage to each driving circuit, such that a droplet is controlled to move inside a droplet accommodation space according to a set path, measure, in a detection stage, after a bias voltage is applied to each addressing circuit, a charge loss amount of each addressing circuit, and to determine the position of the droplet according to the charge loss amount. The charge loss amount of each addressing circuit is related to the intensity of received external light.

Abstract: The present invention relates to a novel compound (formula I), which has cancer treatment activity. The present invention also relates to a preparation method for the compound and a pharmaceutical composition containing the compound.

Abstract: The present invention relates to a device for forming bimetal composite pipe by spinning semisolid metal powder on outer wall of steel pipe, which comprises feeding device, clamping device, spinning roller, hot melting head, motor, lifting device, work table, buffer bearing pack, tailstock support device and heat preservation device.

Abstract: An LED tube lamp includes a first and second members and a connection member. Each of the first and second members includes lighting part and an end part. Each lighting part includes LED light strip. The connection member includes electrical connection portions and joining portions for the first and second members. The connection member connects the first member with the second member by the joining portions and the electrical connection portions and makes the first member substantially coaxial to the second member.

Abstract: The present disclosure provides an information transmission method, an information transmission device, a communication device and a readable storage medium. The information transmission method includes: obtaining OAM information from an optical network; encapsulating the obtained OAM information to form an OAM frame, the OAM frame including N data frames each having a frame length of L, N varying along with a volume of the OAM information, L being a constant value regardless of the volume of the OAM information; and transmitting the OAM frame. The OAM information is transmitted in a length-constant frame, so it is able to facilitate encoding and decoding of a message, simplifying the processing and reduce the time consumption, and facilitate the extension in accordance with a message content and ensure the extendibility, thereby to solve such problems as complicated processing, being time-consuming, and poor extendibility in the conventional OAM information transmission scheme.

Abstract: The present invention provides a dynamic joint distribution alignment network-based bearing fault diagnosis method under variable working conditions, including acquiring bearing vibration data under different working conditions to obtain a source domain sample and a target domain sample; establishing a deep convolutional neural network model with dynamic joint distribution alignment; feeding both the source domain sample and the target domain sample into the deep convolutional neural network model with initialized parameters, and extracting, by a feature extractor, high-level features of the source domain sample and the target domain sample; calculating a marginal distribution distance and a conditional distribution distance; obtaining a joint distribution distance according to the marginal distribution distance and the conditional distribution distance, and combining the joint distribution distance and a label loss to obtain a target function; and optimizing the target function by using SGD, and training the

Abstract: The present disclosure provides a terminal, a server, an Internet of Things data transmission method, and a data transmission system, wherein the Internet of Things data transmission method includes following blocks: transmitting data and uniquely corresponding identity information from a terminal used to collect data to a server, and feeding back, at the server, at least one response signal to the terminal in response to the received data and the identity information.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.