Abstract: Computer implemented method for converting PDF documents into human readable and machine parsable HTML code. The method includes the use of a machine learning algorithm in order to automatically annotate the HTML code, said algorithm being trained with a set of manually annotated HTML code examples.

Abstract: The present disclosure discloses a method for coating a magnetic powder core with sodium silicate, including: using polyoxyethylene laurylether phosphate as a dispersant for sodium silicate and lignosulfonate as a dispersant for a metal magnetic powder, mixing a dispersed sodium silicate solution and a dispersed metal magnetic powder, coating the dispersed metal magnetic powder, and drying: adding an insulating adhesive and a lubricant, subjecting the resulting mixture to a compression molding, and finally, carrying out a high-temperature annealing treatment to obtain a sodium silicate coated magnetic powder core.

Abstract: A display module includes a structure. The display module includes a display panel, a flexible circuit board and an adhesive structure. The display panel has a light exit side and a backlight side opposite to the light exit side. The flexible circuit board includes a main body portion, a neck portion and a connection portion. The neck portion is located between the main body portion and the connection portion. An end of the main body portion away from the neck portion is connected to an edge of the display panel. The connection portion, the neck portion and at least part of the main body portion are located on the backlight side of the display panel. The adhesive structure is located between the main body portion and the display panel, and at least part of the adhesive structure is located in an edge area of the main body portion proximate to the neck portion.

Abstract: This application relates to the technical field of connectivity communication, and provides an apparatus and method for testing a connected vehicle's communication distance. The testing apparatus includes a support member, and a first antenna is provided on the support member and connected to a signal transceiver. The signal transceiver is configured to send signals to a tested vehicle or receive signals sent by the tested vehicle. An output terminal of the signal transceiver is connected to an upper computer. Data analysis software is installed on the upper computer, and used for recording a test distance and a number of data packets and calculating a packet loss rate, such that a maximum communication distance is obtained according to the test distance and the corresponding packet loss rate.

Abstract: A powertrain includes an electric motor; a transmission mounted to the electric motor; and a controller mounted to at least one of the electric motor and the transmission and electrically connected to the electric motor. The controller, the transmission, and the electric motor are integrated together. The controller includes a controller body, a controller support, and a wire harness rack. The controller body is disposed on the controller support, and the controller support is mounted to at least one of the electric motor and the transmission. The wire harness rack is connected to the controller support and the electric motor and having a wire arrangement groove. A connecting wire harness between the controller and the electric motor is disposed in the wire arrangement groove.

Abstract: A computer system for automatically generating cognitive exercises includes a computer memory that can store a memory list comprising subjects that a user has difficulty to remember, wherein the computer memory can store personal data associated with the user, and computer processors in communication with the computer memory can execute a cognitive exercise computation agent and a large language model responsive to the cognitive exercise computation agent. The cognitive exercise computation agent can retrieve the memory list and the personal data associated with the user from the computer memory. The cognitive exercise computation agent can produce generated cognitive exercises using the large language model under constraints of the memory list and the personal data associated with the user.

Abstract: An optical imaging system (1) is configured for photographing a sample and includes a lighting module (11) and an imaging module (15). The lighting module (11) is configured for outputting excitation light, the excitation light is configured to excite the sample to generate excited light, the imaging module (15) comprises a time delay integration line scan camera (151), the time delay integration line scan camera (151) is configured to record the excited light. A biochemical substance detection system using the optical imaging system (1) is also provided, improving the detection flux.

Abstract: The present disclosure provides a detecting apparatus, system, and method, and belongs to the technical field of detection. The detecting apparatus includes a beam splitting device, a first dichroic mirror, an objective lens, a fluorescence guiding device, and an imaging system including a plurality of imaging devices.

Abstract: Evaluating the performance of an X-ray tube by: recording arcing events that occurred during the use of the X-ray tube; classifying the arcing events by severity; generating, on the basis of the classified arcing events, a first growth pattern for occurrences of arcing events; and determining a level of bubbles in the X-ray tube by finding, on the basis of the first growth pattern, a matching second growth pattern associated with a known level of bubbles in the X-ray tube. An X-ray tube may be checked and replaced in a timely manner, without the need for an on-site inspection, by remotely predicting trends or patterns for growth of levels of bubbles in the X-ray tube.

Abstract: Systems and methods for multi-modal representation learning are described. One or more embodiments provide a visual representation learning system trained using machine learning techniques. For example, some embodiments of the visual representation learning system are trained using cross-modal training tasks including a combination of intra-modal and inter-modal similarity preservation objectives. In some examples, the training tasks are based on contrastive learning techniques.

Abstract: Provided are a display panel and a display device. An isolation dam is provided in a peripheral area of the display panel. The display panel includes: a display functional layer comprising a plurality of display signal traces; and a touch-control functional layer comprising a plurality of touch-control signal traces. On the binding side, there are a first boundary and a second boundary, and a first trace area located between the first boundary and the second boundary, the first boundary is closer to the display area than the second boundary. In the first trace area, the touch-control signal trace is arranged along a first direction and are led out from the binding circuit and connected to the touch-control pattern via the isolation dam and the first trace area in sequence, the display signal trace is arranged along a second direction and intersects with the touch signal trace.

Abstract: The present disclosure provides, for instance, a method of treating oligodendroglial dysfunction including Angelman Syndrome and autism spectrum disorder, the method comprising administering to the subject a non-steroidal selective estrogen receptor beta agonist, thereby treating the oligodendroglial dysfunction in the subject.

Abstract: A device set designed for PCNL surgery includes a puncture needle, a guidewire, a dilator, a balloon catheter, a sheath, and a drainage catheter which are all placed in a single package. A tip length of the dilator is substantially the same as a tip length of the balloon catheter. The device set may include a puncture needle, a guidewire, a plurality of dilators having different sizes, a sheath, and a drainage catheter, which are all placed in a single package, wherein all the dilators have substantially the same tip length.

Abstract: A lithium iron phosphate positive electrode active material includes a first lithium iron phosphate material and a second lithium iron phosphate material. D1mo is a first particle size of first particles that have a largest volume distribution value of the first lithium iron phosphate material, and 0.3?D1mo?3.2. D2mo is a second particle size of second particles that have a largest volume distribution value of the second lithium iron phosphate material, 1?D2mo?5, and D1mo<D2mo. A distribution discreteness of the first particle size of the first lithium iron phosphate material is A1, and a distribution discreteness of the second particle size of the second lithium iron phosphate material is A2, where 1?A1?3, and 2?A2?4. D1mo and A1 meet: 4.07<A1×(2.31+D1mo)<16, and D2mo and A2 meet: ?0.4<A2×(D2mo?1.15)<14.

Abstract: A lithium iron phosphate positive electrode active material includes a first lithium iron phosphate material that meets: 0.49<0.643D1mo+0.439A1<2.3, and a second lithium iron phosphate material that meets: 0.41<1.07D2mo+2.44A2?1.70D2mo×A2<1.9. D1mo is a particle size of first particles that have a largest volume distribution value of the first lithium iron phosphate material. D2mo is a particle size of second particles that have a largest volume distribution value of the second lithium iron phosphate material. A1 represents a sphericity of the first lithium iron phosphate material. A2 represents a sphericity of the second lithium iron phosphate material. 0.3?D1mo?3.2, 1?D2mo?5, and D1mo<D2mo.

Abstract: A search engine of a data exchange may receive a query comprising a set of search terms, retrieve a plurality of data listings based on the search terms of the query, compare a first embedding generated by a large language model (LLM) from the search query to second embeddings generated by the LLM for each of the plurality of data listings to determine a respective relevance for each of the plurality of data listings to the search query, and rank the plurality of data listings based on the respective relevance for each of the plurality of data listings to the search query.

Abstract: Disclosed are a terminal desktop display method and apparatus, an electronic device, and a computer-readable storage medium. The terminal desktop display method may include: acquiring an overall view of a decorated desktop component; acquiring a root view of the desktop component according to the overall view of the desktop component; offsetting the root view; and adding a new view in a vacant region after the offsetting.

Abstract: A device set designed for PCNL surgery includes a puncture needle, a guidewire, a dilator, a balloon catheter, a sheath, and a drainage catheter which are all placed in a single package. A tip length of the dilator is substantially the same as a tip length of the balloon catheter. The device set may include a puncture needle, a guidewire, a plurality of dilators having different sizes, a sheath, and a drainage catheter, which are all placed in a single package, wherein all the dilators have substantially the same tip length.

Abstract: A powertrain includes an electric motor; a transmission mounted to the electric motor; and a controller mounted to at least one of the electric motor and the transmission and electrically connected to the electric motor. The controller, the transmission, and the electric motor are integrated together. The controller includes a controller body, a controller support, and a wire harness rack. The controller body is disposed on the controller support, and the controller support is mounted to at least one of the electric motor and the transmission. The wire harness rack is connected to the controller support and the electric motor and having a wire arrangement groove. A connecting wire harness between the controller and the electric motor is disposed in the wire arrangement groove.

Abstract: A data dictionary generation system automatically populates and updates a data dictionary for listings offering shared data. A data dictionary includes metadata describing the shared data, including the individual objects, such as the individual tables, schemas, views, and functions. The shared data and each individual data object may be described in the data dictionary by a set of data fields that corresponds to the shared dataset or the object type of the individual object. The data dictionary can be presented to data consumers along with the description of the listing to provide data consumers with a comprehensive description of the shared data provided by a listing, including a high-level summary of the shared data and description of each individual object included in the shared data. The data dictionary allows data consumers to understand the contents of the shared data and how to use the shared data.