Abstract: The present application provides a resource scheduling method and apparatus, an electronic device, and a computer readable storage medium. The method includes: selecting an optimal path from a pre-constructed resource label forest according to a weight of a path in a resource label tree in the resource label forest; and scheduling a task to a third node through which the optimal path passes. The resource label forest includes the at least one resource label tree, and each path of which includes a first node, a second node and the third node in an order from a root node to leaf nodes.

Abstract: The present application discloses a thin-film transistor, a display panel, and an electronic device. The thin-film transistor includes a gate, a gate insulating layer, and a semiconductor layer sequentially disposed from an inside to an outside along a radial direction. The thin-film transistor further includes a source and a drain disposed on a side of the semiconductor layer and arranged at intervals, and the source and the drain are connected to the semiconductor layer.

Abstract: A method for anomaly detection includes receiving an anomaly detection query from a user. The anomaly detection query requests data processing hardware determine one or more anomalies in a dataset including a plurality of examples. Each example in the plurality of examples is associated with one or more features. The method includes training a model using the dataset. The trained model is configured to use a local outlier factor (LOF) algorithm. For each respective example of the plurality of examples in the dataset, the method includes determining, using the trained model, a respective local deviation score based on the one or more features. The method includes determining that the respective local deviation score satisfies a deviation score threshold and, based on the location deviation score satisfying the threshold, determining that the respective example is anomalous. The method includes reporting the respective anomalous example to the user.

Abstract: Provided are a prediction method and a prediction system for MRKH (Mayer-Rokitansky-Küster-Hauser) syndrome, a device, a medium, and a program product, relating to the field of intelligent healthcare. The method includes the following steps: acquiring gene expression data of a sample to be tested; extracting expression data of target genes from the gene expression data, where the target genes include one or more of the following: AGPAT2, and PAN2; performing classification prediction based on the expression data of the target genes to obtain a classification result about whether the sample to be tested suffers from MRKH; if expression level of any one or more of the target genes is high, obtaining a classification result that the sample to be tested suffers from MRKH; and on the contrary, obtaining a classification result that the sample to be tested does not suffer from MRKH.

Abstract: A method includes receiving a query to determine anomalies in a set of multivariate time series data values including an endogenous variable and an exogenous variable. The method includes determining an impact of the exogenous variable on the endogenous variable. The method includes determining a set of univariate time series data values and training one or more models using the univariate time series data values. The method includes determining an expected data value for a respective time series data value and determining a difference between the expected data value and the respective time series data value. The method includes determining that the difference between the expected data value for a particular time series data value and the particular time series data value satisfies a threshold. In response, the method includes determining that the particular time series data value is anomalous and reporting the anomalous value to a user.

Abstract: A strain of selenium-enriched Lactiplantibacillus plantarum KD-2 and applications in fermented goat milk and goat milk powder are provided in the present disclosure. The strain is preserved in China Center for Type Culture Collection on Apr. 13, 2023, with a deposit number of CCTCC NO: M2023478. The Lactiplantibacillus plantarum KD-2 is capable of reducing sodium selenite under a condition of buffer solution to prepare nano-selenium, which does not need to be carried out in a culture medium. The Lactiplantibacillus plantarum KD-2 is used to prepare selenium-enriched probiotic fermented goat milk, selenium-enriched probiotics and nano-selenium, and the selenium-enriched probiotics and nano-selenium are applied to goat milk powder.

Abstract: A method includes receiving a text embedding generation query from a user requesting generation of a text embedding for one or more data elements stored at a data warehouse. In response, the method includes selecting, using the text embedding generation query, a text embedding model from a plurality of different text embedding models. The method includes generating, using the selected text embedding model, the text embedding for the one or more data elements and storing the text embeddings at the data warehouse. The method includes receiving a machine learning model training query from the user device requesting training of a machine learning model using the text embeddings. In response to receiving the machine learning model training query, the method includes training the machine learning model using the text embeddings. The method includes providing, to the user device, a notification indicating that training of the machine learning model is complete.

Abstract: A driver substrate and a display panel are disclosed. The driver substrate includes a base substrate and a flexible circuit board. The base substrate has a first bonding portion. The flexible circuit board is disposed on a bonding surface of the first bonding portion and bends from the bonding surface to a side of the first bonding portion away from the bonding surface. The flexible circuit board includes a bent portion, an anti-scratch structure is disposed between the bent portion and the first bonding portion, and the bent portion is attached to the anti-scratch structure.

Abstract: Some embodiments provide a method for performing data traffic monitoring. The method processes a packet through a packet processing pipeline that includes multiple stages. At a filtering stage, the method tags the packet with a set of monitoring actions for subsequent stages to perform on the packet based on a determination that the packet matches a particular filter. For each stage of a set of packet processing stages subsequent to the filtering stage, the method (i) executes any monitoring actions specified for the stage to perform on the packet and (ii) sends the packet to a next stage in the packet processing pipeline.

Abstract: The application discloses a thin film transistor and a light-emitting diode (LED) backplane. The thin film transistor includes: a first gate, a first insulating layer, a first source, a semiconductor layer, a first drain, a second insulating layer, and a second gate; the first insulating layer covers the first gate; the first source, the semiconductor layer, and the first drain are all disposed at a side of the first insulating layer away from the first gate; the second insulating layer covers the first drain, the semiconductor layer, and the first source; and the second gate is disposed on a surface of a side of the second insulating layer away from the first gate, wherein the first source, the semiconductor layer, and the first drain jointly constitute a vertical channel structure.

Abstract: Aspects of the disclosure are directed to integrating one or more large language models (LLMs) into a cloud database platform, such as a data warehouse. Users of the cloud database platform can provide queries to instruct one or more LLMs to perform generative natural language processing tasks by manipulating or generating text directly in the cloud database platform with a table valued function. Users can provide input to register or generate one or more LLMs of the cloud database platform for performing the natural language processing tasks. Integrating LLMs into the cloud database platform can improve processing capabilities of the LLMs and save computing resources, as specialized LLMs or application-specific API may no longer be necessary.

Abstract: Aspects of the disclosure are directed methods, systems, and computer readable media for in-database holiday effect modeling for time series forecasting. The modeling can be accurate, explainable, customizable, and scalable. Machine learning models can receive a first dataset for time series data and a second dataset for configurable holiday data. The models can detect and model effects of each configurable holiday on one or more forecasts, effectively accumulating effects of overlapping holidays, to manage different levels of holiday modeling. Holiday data can be customizable, including an ability to modify existing holidays and/or add new holidays, through one or more interfaces that can display default holiday information, combined holiday information based on both default and customizable holidays, effects of each holiday on forecasts, and accumulated effects of multiple holidays on forecasts.

Abstract: A strain of selenium-enriched Lactiplantibacillus plantarum KD-2 and applications in fermented goat milk and goat milk powder are provided in the present disclosure. The strain is preserved in China Center for Type Culture Collection on Apr. 13, 2023, with a deposit number of CCTCC NO: M2023478. The Lactiplantibacillus plantarum KD-2 is capable of reducing sodium selenite under a condition of buffer solution to prepare nano-selenium, which does not need to be carried out in a culture medium. The Lactiplantibacillus plantarum KD-2 is used to prepare selenium-enriched probiotic fermented goat milk, selenium-enriched probiotics and nano-selenium, and the selenium-enriched probiotics and nano-selenium are applied to goat milk powder.

Abstract: An example method of beacon probing in a computing system includes: sending, by cross-host beacon probing (CHBP) software executing in a first host of the computing system, a first beacon probe from a first network interface controller (NIC) of the first host to NICs on a same layer 2 domain as the first NIC, the NICs including a second NIC of the first host and cross-host NICs of at least one host other than the first host; receiving, at the CHBP software through the first NIC, acknowledgements (ACKs) to the first beacon probe from the cross-host NICs; and determining, in response to the first beacon probe, connectivity statuses of the first NIC and the second NIC by the CHBP software based on the ACKs and on whether the second NIC receives the first beacon probe.

Abstract: An example method of beacon probing in a computing system includes: sending, by cross-host beacon probing (CHBP) software executing in a first host of the computing system, a first beacon probe from a first network interface controller (NIC) of the first host to NICs on a same layer 2 domain as the first NIC, the NICs including a second NIC of the first host and cross-host NICs of at least one host other than the first host; receiving, at the CHBP software through the first NIC, acknowledgements (ACKs) to the first beacon probe from the cross-host NICs; and determining, in response to the first beacon probe, connectivity statuses of the first NIC and the second NIC by the CHBP software based on the ACKs and on whether the second NIC receives the first beacon probe.

Abstract: An aircraft seat backrest with a lifesaving function, including a backrest body and a back plate assembly, wherein a containing cavity is arranged in a front face of the backrest body, the back plate assembly includes a back plate covering the containing cavity and a lifesaving parachute pack that is arranged on a back face of the back plate and contained in the containing cavity, the back plate is fixedly connected with the backrest body through a quick release mechanism in a quickly separable manner, lifesaving straps of the lifesaving parachute pack pass through strap through holes in the back plate, and an occupant leans against the back plate and is connected with the back plate and the lifesaving parachute pack through the lifesaving straps when riding.

Abstract: A method includes receiving a point data anomaly detection query from a user. The query requests the data processing hardware to determine a quantity of anomalous point data values in a set of point data values. The method includes training a model using the set of point data values. For at least one respective point data value in the set of point data values, the method includes determining, using the trained model, a variance value for the respective point data value and determining that the variance value satisfies a threshold value. Based on the variance value satisfying the threshold value, the method includes determining that the respective point data value includes an anomalous point data value. The method includes reporting the determined anomalous point data value to the user.

Abstract: A mark hole positioning method is provided. The assembly device obtains a target image including a to-be-positioned mark hole, and extracts contour points of the mark hole from the target image. Next, the assembly device generates a circle center set of auxiliary circles by using the contour points as circle centers of the auxiliary circles. Then, the assembly device traverses each circle center in the circle center set and each radius value in a radius set, generates a plurality of auxiliary circles in the target image, and accumulates, for different radius values, a quantity of times of intersection between pixels in the target image and the plurality of auxiliary circles. Finally, sub-pixel positioning information of the mark hole is determined and the mark hole is positioned based on the sub-pixel positioning information of the mark hole.

Abstract: A splicing type light board and a display device are provided with a first LED light board and a second LED light board; a first end of the first LED light board near a first signal input terminal, and a second end away from the first signal input terminal; a first end of the second LED light board near a second signal input terminal, and a second end away from the second signal input terminal; and the first end of the first LED light board connecting the first end of the second LED light board or the second end of the first LED light board connecting the second end of the second LED light board.

Abstract: Disclosed are a class of URAT1 inhibitor compounds and the use of such compounds. These compounds are compounds represented by the structure of formula (I) or pharmaceutically acceptable salts thereof. Experiments show that the compounds provided by the present invention have a very good inhibitory effect on hURAT1-transported uric acid in HEK293 transfected cells, and show that such compounds have a good potential for application in the treatment of hyperuricemia or gout.