Abstract: The present disclosure relates to the technical field of magnesium metallurgy, and in particular to a device and method for magnesium smelting by vacuum carbothermal reduction of calcined dolomite. The device includes a reaction chamber, a condensation chamber, a first temperature regulation module and an air pressure regulation module, and the reaction chamber is communicated with the condensation chamber via a gas-guide tube. In the present disclosure, different condensation zones are utilized to sequentially condense gaseous products based on dew points, effectively preventing impurities from entering the condensation process of magnesium.

Abstract: In an antenna design, a metal frame of an electronic device and a printed circuit board (PCB) form a slot antenna radiator, where two common mode (CM) slot antenna modes of the slot antenna radiator are excited through anti-symmetrical feeding, so that when dual resonances and wideband coverage are implemented, specific absorption ratio (SAR) values in the two CM slot antenna modes are close.

Abstract: Provided are an organic magnetic material and a semiconductor device including the same. According to the inventive concept, the organic magnetic material may include a material represented by Formula 1 below.

Abstract: There is included a method and apparatus comprising computer code for instance-wise adaptive knowledge injection in a pre-trained language model (PTLM) including determining a necessity of external knowledge in a plurality of queries of a first dataset based on a likelihood that a respective query is solved by internal knowledge of a target model. Then, the one or more queries determined to need external knowledge may be augmented with pieces of external knowledge. A combined dataset may be generated by combining the first dataset and the one or more augmented queries, and the combined dataset may be applied to the target model.

Abstract: The embodiments disclosed herein are directed to an apparatus and method for managing creator campaigns. According to an aspect of the embodiments, there is provided an apparatus for managing creator campaigns, the apparatus including: memory; and a controller configured to provide a creator campaign and provide a reward to a supporter for a creator who has completed performing the creator campaign.

Abstract: Various embodiments of the teachings herein include a method for detecting a workpiece. An example includes: performing data augmentation on an original image of an original workpiece; performing training on a neural network model comprising multiple feature extraction branches to obtain a workpiece detection model based on a workpiece image group obtained through the data augmentation; converting the workpiece detection model into a lightweight workpiece detection model; and performing detection on workpieces with the same shape and at least one different dimension as the original workpiece based on the lightweight workpiece detection model.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include calculating a priority factor with a node autonomous center in a node and computing a node service capability with the node autonomous center. The operations may further include selecting, with the node autonomous center, a task based on the priority factor and the node service capability. The operations may further include directing the task to the node.

Abstract: For a set in sets of candidate factors, a classification model is trained to predict a computer problem possibility, an accuracy score of the classification model is determined based on model validation, and factor weights of the candidate factors in the set are adjusted based on the accuracy score. This processing is done with respect to all sets of candidate factors. A low accuracy classification model having an accuracy score lower than a threshold criterion is selected. A higher accuracy classification model having an accuracy score that is higher than the accuracy score of the low accuracy classification model is selected. The set of candidate factors used to train the low accuracy classification model is updated using one or more of the candidate factors used to train the higher accuracy classification model. The low accuracy classification model is updated based on the updated set of candidate factors.

Abstract: The current innovation pertains to the medical data processing domain and introduces a method for formulating an iNPH prediction model using a new/old stimulus BCI paradigm. The process involves conducting new/old stimulus BCI paradigm experiments on a target population both before and after the Lumbar Tap Test, obtaining electroencephalogram (EEG) signal data. After preprocessing the EEG signal data, the model extracts features related to new and old stimulus event-related potentials before and after the test, specifically focusing on P600 amplitude features. The iNPH prediction model is then trained based on these event-related potential features. This innovation facilitates quantifying cognitive function improvement, aiding physicians in prompt iNPH diagnosis and enabling timely and effective patient treatment.

Abstract: A digital twin-based edge-end collaborative scheduling method for heterogeneous tasks and resources includes the following steps: establishing an edge wireless network based on digital twin; constructing an edge-end collaborative scheduling problem prototype of the heterogeneous tasks and resources; performing problem conversion based on a multi-agent Markov decision process; constructing an Actor-Critic neural network model based on multi-agent deep reinforcement learning; performing offline centralized training of the neural network model by digital twin; performing online distributed execution of task offloading and computation and communication resource allocation by end devices to collaboratively process the heterogeneous tasks.

Abstract: The present invention relates to the technical field of medical data processing, and discloses an iNPH prediction method based on a visual Oddball paradigm, comprising: performing the same visual Oddball paradigm experiments on a target population before and after the target population undergoes LTT, and obtaining an electroencephalography (EEG) signal data; Pre-processing the EEG signal data, and obtaining an event-related potential feature, the event-related potential feature being a P300 amplitude feature; Based on the event-related potential feature, the iNPH prediction model is trained to obtain the iNPH prediction model.

Abstract: An apparatus for estimating a condition of a battery includes a mode identifying unit configured to identify a usage mode of the battery during a period of time and its corresponding attenuation curve, according to recorded data on battery usage, stored usage modes of the battery and attenuation curves corresponding to the various usage modes, the attenuation curve representing a change of a fully charged capacity of the battery with battery usage; and a condition estimating unit configured to calculate battery degradation according to the recorded data, the identified usage mode and its corresponding attenuation curve, the degradation representing a quantity of the fully charged capacity of the battery that is reduced over the battery usage. The condition of the battery is estimated so as to rationally judge the residual value of the battery in operation.

Abstract: An apparatus includes logic circuitry that selects a retag transaction identifier for an original transaction identifier of an incoming transaction request, based on a plurality of sub-groups of retag tracking data. Each sub-group of retag tracking data is associated with a corresponding sub-group of retag transaction identifiers in a group of retag transaction identifiers. The logic circuitry retags the incoming transaction request with the selected retag transaction identifier (ID) by replacing the original transaction identifier associated with the incoming transaction request and sends the retagged incoming transaction request to a target. A returned response is received from the target. The retag transaction ID in the returned response is removed and replaced with the original transaction ID before being sent as a reply to the requesting unit. Associated methods are also presented.

Abstract: There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform generating one or more aligned inventories, wherein the one or more aligned inventories are generated using one or more word sense inventories, obtaining a word in a context sentence, determining one or more semantic equivalence scores indicating semantic similarity between the word in the context sentence and each of one or more associated glosses in the one or more aligned inventories using a semantic equivalence recognizer model, and predicting a correct sense of the word in the context sentence based on the determined one or more semantic equivalence scores.

Abstract: A display device is disclosed that includes a first circuit including a driving transistor including a first electrode, a second electrode, a gate electrode, and a back gate electrode, a light emitting element including an anode and a cathode connected to the first circuit, and a second circuit including a first transistor connected between the back gate electrode of the driving transistor and a compensation voltage line, and a second transistor connected between the back gate electrode of the driving transistor and a first voltage line.

Abstract: A computer-implemented method, system and computer program product for improving accuracy and efficiency of auditing databases. A table, list or index of a database is analyzed to identify metadata, which includes time series data, user data, an Internet Protocol address and operation data. The identified metadata is associated with the corresponding record or row of the table, list or index from which the metadata was extracted. A determination is then made as to whether to record a raw data image associated with the record or row of the analyzed table, list or index based on the corresponding data operation. The identified metadata as well as the recorded data images, if any, are stored in a structured audit log. Auditing information is then obtained from a structured audit log based on matching the record or row identifier (RID) associated with the query with the RID associated with the structured audit log.

Abstract: Rendering digital twin include receiving metrics associated with a physical entity, the metrics received using an established real-time data synchronization protocol. The received metrics is analyzed. Based on the analysis of the received metrics, digital twin corresponding to the physical entity is updated, the digital twin being a virtual representation of the physical entity.

Abstract: Systems and computer-implemented methods select a subset of methods to generate data schemas for input data from a list of methods for generating data schemas, based on output of a regression model; generate a candidate schema for each method in the subset of methods to generate data schemas; and generate a master data schema for the input data by merging the candidate schema for each method in the subset of methods to generate data schemas, utilizing predetermined rules.

Abstract: A magnetoresistive random access memory (MRAM) device includes a first array region and a second array region on a substrate, a first magnetic tunneling junction (MTJ) on the first array region, a first top electrode on the first MTJ, a second MTJ on the second array region, and a second top electrode on the second MTJ. Preferably, the first top electrode and the second top electrode include different nitrogen to titanium (N/Ti) ratios.

Abstract: An apparatus for managing production of one or more products includes a business backend; an interface service; a persistent data storage; a processor; and a message middleware. The business backend is configured to extract and organize data; and dispatch business data to the interface service. The interface service is configured to perform data validation on the business data received from the business backend; and transmit the business data to the persistent data storage and the message middleware. The persistent data storage is configured to store the business data received from the interface service as a reference for the calculation and analysis; and transmit data to the processor. The processor is configured to calculate overstock quantity and determine overstock type. The message middleware is configured to receive the business data from the interface service, and receive analysis results from the processor; and transmit the analysis results to interface service.