Abstract: In an approach for optimizing abnormal point detection, a processor receives a set of data, wherein the set of data is partially labeled time series data; determines a data block size for the set of data; splits the set of data into data blocks based on the data block size; computes trait measurements for traits for each data block; assigns a tag to each data block, wherein the tag is selected from the group consisting of a normal tag, an abnormality tag, and an unknown tag; uses the respective data blocks with either the normal tag or the abnormality tag as training data; updates the training data with artificial abnormalities; trains a detection model with the updated training data; and utilizes the trained detection model to predict whether the respective data blocks with the unknown tag have an abnormality or no abnormality.

Abstract: Provided are a polypeptide antigen derived from the S protein of SARS-CoV-2, a polypeptide vaccine containing the same, and applications thereof. The amino acid sequence of the polypeptide antigen provided by the present disclosure is as shown in any one of SEQ ID NOs: 1-116.

Abstract: A method for generating map data comprising training a generator neural network by acquiring training data elements and training a generative adversarial network, comprising training a generator neural network to generate, for a satellite image and a road usage image of a training data element, the map data image of the training data element and comprising generating map data for a geographical region by acquiring road usage information specifying which parts of a geographical area have been used for driving a vehicle, acquiring a satellite image of the geographical area, forming a road usage image of the geographical area which has pixels, each pixel corresponding to a respective part of the geographical area and having a value indicating whether its part of the geographical area is specified by the road usage information to have been used; and feeding the satellite image and the road usage image to the trained generator neural network.

Abstract: An embodiment identifies, by a post-modeling category merging engine, a plurality of valid pairs associated with a categorical predictor, the plurality of valid pairs representing potential mergers of categories associated with a categorical predictor of a predictive model. The embodiment tests, by the post-modeling category merging engine, a merge strategy for the plurality of valid pairs to determine a merger that minimizes a loss in accuracy of the predictive model. The embodiment merges, by the post-modeling category merging engine based on the testing, a valid pair in the plurality of valid pairs to form a hybrid category.

Abstract: A time series anomaly detection method, system, and computer program product that processes time series data includes absorbing profiles of the time series data and anomaly types of a model as features, optimizing biased ranks to create optimized ranks through merging initial ranks with new ranks generated by real anomalies, and auto-suggesting the optimized ranks for saving a predetermined amount of data operation.

Abstract: A method for generating massage tracks includes acquiring two-dimensional data of preliminary massage point positions according to a user-selected massage mode; acquiring point cloud data of a region to be massaged of a target object; acquiring the massage point position two-dimensional data of the target by proportion calculation according to the preliminary massage point position two-dimensional data and the point cloud data of the region to be massaged of the target object; acquiring three-dimensional massage point position data of the target according to the two-dimensional data of the massage point position of the target and the point cloud data of the region to be massaged of the target object; and generating a final massage track based on a preset massage track planning algorithm according to the three-dimensional massage point position data of the target. The present application may select a massage mode to improve individual adaptability.

Abstract: The present application relates to an EPA-EE nano-lipid composition and a formulation, a preparation method, and an application thereof. The EPA-EE nano-lipid composition includes a raw material having a high content of EPA-EE as a primary ingredient and includes an emulsifier containing a highly unsaturated phospholipid. The EPA-EE nano-lipid composition can be prepared into a sub-micron emulsion at nanoscale for use as an oral formulation.

Abstract: A method, computer system, and a computer program product are provided for post-modeling feature evaluation. In one embodiment, at least at least one post model visual output and associated data is obtained that at least includes an individual conditional expectation (ICE) plot and a partial dependence (PDP) plot. Using the associated data and the plots, a Feature Importance (PI) plot is provided. A plurality of features is then determined for each PI, PDP and ICE plots to calculate at least one Interesting Value for each plot. An overall score is also calculated for each plurality of features based on the associated Interesting Values for each PDP, ICE and PI plots. At least one top feature is selected based on said scores. A final plot is then generated at least reflecting the top feature. The final plot combines the PI, PDP and ICE plots together.

Abstract: Methods, systems, and storage media for running unified simulations on clusters. Exemplary implementations may include: receiving simulation parameters for a simulation of a cluster; generating synthesized workload events based the simulation parameters of the cluster; determining a memory latency associated with the cluster; determining a reliability and availability of resources in the cluster for a predetermined duration of time; simulating events for jobs in the cluster based on the reliability and availability of resources in the cluster, each job associated with one or more synthesized workload events; and outputting simulation results based on the synthesized workload, the memory latency, and the events.

Abstract: A session shared data system accesses a first communication between a user and a support agent on a first communication channel and stores communication data associated with the first communication in a session shared data object. The session shared data system accesses a subsequent communication between the user and a second agent on a second communication channel, receives a query associated with the subsequent communication and transmits the response to a device of the second agent.

Abstract: Embodiments analyze a query pattern of an incoming query on a database, perform a semantic analysis of the query pattern of the incoming query, generate a re-write query that has an improved query performance in comparison to a query performance of the incoming query based on the analyzed query pattern and the semantic analysis; build a query model using machine learning based on at least one of the query pattern and the semantic analysis; and apply the re-write query by performing the re-write query on the database to provide the improved query performance.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.

Abstract: Articles including a substrate, a cover glass layer disposed over a top surface of the substrate, and an adhesive layer having a dynamic elastic modulus disposed between a bottom surface of the cover glass layer and the top surface of the substrate. The cover glass layer may have a thickness in the range of 1 micron to 200 microns. The dynamic elastic modulus of the adhesive layer may include a first elastic modulus in the range of 10 kPa to 1000 kPa measured at a stress frequency in the range of 0 Hertz to 5 Hertz and a temperature of 23 degrees C., and a second elastic modulus of 500 MPa or more measured at a stress frequency in the range of 10 Hertz to 1000 Hertz and a temperature of 23 degrees C. The adhesive layer may be optically transparent. The articles may be bendable electronic display devices or bendable electronic display device modules.

Abstract: The present disclosure provides an information search method and apparatus, a computer device, and a storage medium, and the method includes: in response to receiving a question message on an artificial intelligence dialogue interface, acquiring an aggregated answer result matching the question message, the aggregated answer result is determined by content consumption modes corresponding to a message subject scope of the question message, the content consumption modes include a deep consumption mode and a broad consumption mode, and respective answer results in the aggregated answer result obtained in the broad consumption mode are capable of being consumed twice using the deep consumption mode; and displaying the respective answer results comprised in the aggregated answer result on the AI dialogue interface.

Abstract: A video memory allocation method and apparatus, and a medium and an electronic device are provided. The method includes: determining a usage capacity of a physical video memory in response to receiving a first call request of an application program for a video memory allocation interface in a target video memory management link library; if a sum of the usage capacity and an applied capacity corresponding to the first call request is greater than a total capacity of the physical video memory, generating a second call request for calling a memory hosting interface according to the first call request, and calling the memory hosting interface based on the second call request; and obtaining a response of the first call request according to a calling result of the second call request.

Abstract: A power supply circuit, a driving method thereof, a printed circuit board, a display module and a display apparatus are disclosed, which relates to a technical field of displaying. The power supply circuit includes a first power management chip and a second power management chip configured to be respectively connected with a display panel and provide different driving signals to the display panel, and the driving signals are configured for driving the display panel to display.

Abstract: A computer-implemented method, including receiving, by a processor set, a query including a query string for a system catalog; identifying, by the processor set, a default index structure of the system catalog; executing, by the processor set, the query based on the default index structure of each index in the system catalog; ranking, by the processor set, a performance of each execution of the query by each index; mapping, by the processor set, a query pattern to a corresponding index of the system catalog; selecting, by the processor set, the index to perform the query using a machine learning (ML) model trained with a knowledge base that includes the ranking and the mapping; executing, by the processor set, the query on the selected index; and in response to executing the query on the selected index, returning, by the processor set, a result of the query.

Abstract: Provided are compositions and methods useful for inserting or replacing a nucleic acid fragment to a target genome sequence. Unlike the conventional prime editors, the disclosed methods do not require a retro-transcriptase or a pegRNA. Instead, the Cas protein is fused to, or otherwise coupled to, or is present within the same cell as, a DNA polymerase, which uses a single stranded donor DNA to generate the desired insertion sequence.