Abstract: Provided is a system of generating multi-style learning tutorials based on learning preference evaluation. The system dynamically explores preferences of learners in a learning process from a time dimension through a proposed deep reinforcement learning model, so that a deep reinforcement learning agent can accurately express learning behavior features of learners and realize the personalized and accurate construction of course tutorials. At the same time, using an internal knowledge base and an external knowledge base as resource support, a multi-modal knowledge map with a plurality of definition relationships is designed to overcome the limitations of construction of a course tutorial method.

Abstract: Provided is a method of generating a personalized learning path based on multi-course knowledge graph merging and a system thereof, in particular to the technical field of personalized learning path generation. The method includes: constructing a personalized knowledge base to obtain a personalized knowledge graph of all courses that students need to learn in the current academic year; using an entity alignment technology to realize the personalized knowledge graph merging of all courses, and automatically generating a personalized knowledge graph of multi-course merging; generating a subsequent learning path according to a current learning progress of users and the personalized knowledge graph of multi-course merging; and evaluating the generated learning path in terms of link prediction accuracy.

Abstract: Provided is a method of dynamically generating a personalized knowledge graph based on prompt learning. The method includes the following steps: classifying a textbook difficulty to obtain textbook difficulty prompt words; extracting a learning target to obtain learning target prompt words; evaluating the learning ability of students to obtain a level of the learning ability of students; and generating a dynamic personalized knowledge graph according to prompt words selected by students, evaluation results of the learning ability and a set prompt mapping rule. The method evaluates the learning ability, and selects a course learning difficulty and a course learning target as required. The above steps are combined with subjectivity and passivity to integrally and dynamically generate personalized courses. Each class can make a selection, so as to meet ever-changing learning needs of the student.

Abstract: The present application discloses a winding method and a winding system, and relates to the technical field of battery fabrication. The winding method includes: obtaining a first parameter and a second parameter of each electrode assembly on a winding needle in real time, the first parameter being any one of a number of winding layers, a sheet length and a winding roll diameter, and the second parameter being one or both of the remaining two of the number of winding layers, the sheet length and the winding roll diameter; comparing the second parameters respectively with corresponding preset parameter ranges, the preset parameter ranges being the ranges of the second parameters corresponding to the first parameters of preset standard models corresponding to the electrode assemblies; and adjusting, in response to the second parameter exceeding the corresponding preset parameter range, sheets to be wound of the corresponding electrode assembly.

Abstract: Described herein are systems, apparatuses, processes (also referred to as methods), and computer-readable media (collectively referred to as “systems and techniques”) for improving an accuracy of determinations made using data sensed in a wellbore. Such systems and techniques may use a combination of sampled data and simulated data to generate updated datasets that may be used to make evaluations about how well a casing is cemented to subterranean formations where a wellbore is located.

Abstract: Method and apparatus for video processing. A plurality of videos are accessed. An index is generated based on one or more key frames and one or more video features extracted from the plurality of video. A user input is processed to identify user intentions. The index is filtered to identify a plurality of candidate key frames based on the user intentions. A recommended video is generated based on the plurality of candidate key frames, further comprising selecting one or more additional frames based on processing the plurality of candidate key frames using one or more clustering operations, and aggregating the plurality of candidate key frames and the one or more additional frames.

Abstract: According to one embodiment, a method, computer system, and computer program product for pollen prediction is provided. The present invention may include identifying, by a classification model, plant species within a plurality of locatable images taken at a plurality of locations; creating growth cycle prediction models for the plant species; modelling pollen count mappings for the plant species; predicting pollen yields at the locations for the plant species based on the growth cycle prediction models and the pollen count mappings; and calculating a pollen distribution at the locations based on the predicted pollen yields and aerodynamic models.

Abstract: Aspects of the subject technology relate to systems and methods for configuring links or switches that connect analog circuit elements. These analog circuit elements may be connected to a plurality of sensors that may sense different types of data. For example, these sensors may sense acoustic data, electromagnetic (EM) data, temperature, pressure, and possibly other metrics that may be located in a wellbore of an oil or gas well. These analog circuits may be configured as needed (e.g., on-the-fly) to perform optimized types of computations that may include the solving of differential equations. Examples of analog circuits that may be incorporated into a sensing system include yet are not limited to operational amplifier circuits or memcomputing devices, other components, or combinations thereof. Configured analog circuits may be coupled to digital electronics that perform other functions.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Abstract: The disclosure presents processes to determine the direction and magnitude of tubing eccentricity along the length of a tube inserted within a borehole. The tubing can be a wireline, a drill string, a drill pipe, or tubing capable of allowing fluid or other material to flow through it. As borehole operations proceed, the tubing can move toward the side of the borehole. This eccentricity can cause excess wear and tear on the tubing, on the casing of the borehole, or on the inner surface of the subterranean formation. The eccentricity can be measured using acoustic signals that are collected downhole covering the azimuthal angles 0° to 360° at a location in the borehole. The collected signals can be filtered, transformed, and analyzed to estimate the tubing eccentricity. Other processes and systems can use the results to obtain cement bond evaluations through tubing and to determine preventative or restorative actions.

Abstract: A system for leak detection. The system may comprise an acoustic logging tool that includes a hydrophone array with a plurality of hydrophones. The system may further include an information handling system communicatively connected to the acoustic logging tool and wherein the information handling system chooses three or more hydrophones from the plurality of hydrophones to operate during measurement operations.

Abstract: A method for forming an informed machine learning model. The method may include providing one or more inputs to an information handling system, adjusting the one or more inputs with one or more knowledge based features on the information handling system, and selecting one or more features from the one or more inputs by weighting informed features with the information handling system. The method may further include forming a training process from the one or more features selected by utilizing an informed loss function with the information handling system and forming an informed machine learning model that is used by the information handling system.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Abstract: A method comprising: conveying a downhole tool in a tubing that is positioned in a casing that is positioned to form an annulus between the casing and a wall of a wellbore formed in a subsurface formation, wherein a cement with unknown bonding condition exists in the annulus, wherein the downhole tool includes at least one transmitter and a receiver array physically positioned in different azimuthal directions; emitting, from the at least one transmitter, a first and second acoustic transmissions in a first and second azimuthal directions; detecting, by the receiver array, a first acoustic response and a second acoustic response that is derived from the first and second acoustic transmissions, wherein the second azimuthal direction is orthogonal to the first azimuthal direction; determining a dipole wellbore resonance based on the first and acoustic responses; and evaluating a property of the cement based on the dipole wellbore resonance.

Abstract: A system and method for accessing drilling records. A semantic web for drilling records is built, wherein building includes converting drilling records retrieved from a database into a Resource Description Framework (RDF) format and storing the RDF formatted drilling records in the semantic web. Transfer learning is applied to drilling domain knowledge to obtain a large language model (LLM) with drilling domain knowledge. A schema is applied to unstructured records to extract information from unstructured records and the extracted information is then stored in RDF format to the semantic web. The LLM is configured to query the semantic web and to manipulate RDF formatted data within the semantic web.

Abstract: Provided are a recombinant adeno-associated virus (rAAV) genome and a single-polarity rAAV (spAAV) vector formed by packaging same. Specifically, provided is an spAAV genome before packaging, two ends of which are both linear open terminuses, wherein one end does not have an inverted terminal repeat (ITR) or a part thereof, and the other end has a truncated ITR (ITRT), and the ITRT does not form a T-shaped hairpin palindromic structure. The spAAV genome is a single-polarity single-stranded DNA. Also provided are an spAAV vector, a method for delivering an exogenous nucleic acid to a cell by using the vector, and a use of the vector in the preparation of a product for gene expression, gene therapy, gene editing or gene regulation.

Abstract: Provided is a PTC heater with modular fastening and heating components, which comprises a copper electrode plate, a PTC ceramic plate, a thermally conductive silicone part, and a U-shaped fastening aluminum part, wherein the thermally conductive silicone part is arranged in the U-shaped fastening aluminum part and conforms to the fastening aluminum part, wherein the PTC ceramic plate is placed inside the thermally conductive silicone part, and wherein the copper electrode plate is positioned on a side of the PTC ceramic plate and inside the thermally conductive silicone part. The PTC heater is simple and facilitates modularization, and the external U-shaped fastening aluminum part can be fastened to the water tank, thereby meeting automation requirements. The components of PTC heater can be securely fastened by one-way pressing, facilitating convenient production and ensuring stable electrical power.

Abstract: Provided is an electric device with PTC heater and control board integrated with bus module, including a plastic water box, wherein a cast aluminum part is inserted into the plastic water box and fastened to the plastic water box by a first bolt, the cast aluminum part is provided with an upper cover at its top, the cast aluminum part is provided with a high-voltage socket connected to the cast aluminum part by a third bolt on a side and a low-voltage socket connected to the cast aluminum part by a fourth bolt on a side away from the high-voltage socket.

Abstract: Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (201); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information (202) of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

Abstract: Systems and techniques of the present disclosure may correct sensed data to account for an offset position of an imaging tool that is deployed in a wellbore. When an imaging tool is deployed at a location that does not coincide with a center point of the wellbore, images generated from acquired data may be distorted as some of image data will be collected at locations closer to a wellbore wall than other image data. Since the resolution of a sensing device varies with distance, the resolution of data collected by a sensing device will vary with distance that separates the sensing device from the wellbore wall. Furthermore, judgments of distance to features of the wellbore wall may also be distorted because of this offset. As such, systems and techniques of the present disclosure are directed to adjust collected image data to correct for both distance and resolution related effects.