Abstract: The present application provides a medical imaging method and system and a non-transitory computer-readable storage medium. The medical imaging method comprises obtaining an original image acquired by an X-ray imaging system, and post-processing the original image based on a trained network to obtain an optimized image after processing.

Abstract: Provided is a thermostable glucose oxidase obtained by introducing at least one pair of disulfide bonds into an amino acid sequence of a wild-type Aspergillus niger glucose oxidase or a mutant Aspergillus niger glucose oxidase. The glucose oxidase is suitable for application in the fields of food, chemical engineering, medicine, agriculture and feeds.

Abstract: A method, system, and computer program product for recommending an initial database security model. The method may include identifying a plurality of nodes connected to a security network. The method may also include analyzing security characteristics of each node of the plurality of nodes. The method may also include identifying, from the security characteristics, key factors for each node. The method may also include calculating similarities between each node of the plurality of nodes. The method may also include building a self-organized centerless network across the plurality of nodes by grouping nodes with high similarities based on the similarities between each node, where the self-organized centerless network is a centerless network without a central management server, and includes groups of nodes from the plurality of nodes. The method may also include generating federated security models for the groups of nodes.

Abstract: Trace processing in a database system is facilitated by obtaining database trace data collected from database tracing a database system, and data analyzing, by one or more processors, the database trace data to determine one or more field-related rules to, in part, reduce impact on system performance of database tracing in the database system. Trace processing is further facilitated by applying the one or more field-related rules to a database trace in the database system to adjust trace fields of the database trace according to the one or more field-related rules, thereby reducing impact on system performance of the database trace in the database system.

Abstract: Systems and methods for pre-allocating and utilizing storage space in a relational database are provided. In embodiments a method includes: obtaining transaction data including data regarding record insertions in a relational database, wherein each record of the record insertions is associated with a key value; identifying a type of each of the record insertions as either a random insertion type or a key range insertion type based on the database transaction data, wherein the random insertion type comprises records associated with respective key values inserted in a random order, and the key range insert type comprises records associated with a range of key values inserted within a certain time period; predicting a new range of key values associated with future record insertions based on the type of each of the record insertions; and pre-allocating page space in one or more pages of the relational database for the future record insertions.

Abstract: Database recovery is based on workload priorities. A database workload is divided into a plurality of workload groups. A workload group of the plurality of workload groups is selected for recovery, in which the selecting is based on a priority of the workload group. One or more recovery actions are performed for the workload group selected for recovery.

Abstract: Leveraging the competence of a computing cluster and a storage cluster by dynamically adjusting an SQL (structured query language) execution path to optimize system performance with fast response time under a distributed relational database on a data storage platform. Also, endpoint devices are divided into groups for the purpose of responding to queries and/or query blocks. The most suitable group of endpoint devices is chosen to respond to a given query or query block.

Abstract: A brake system of a vehicle is disclosed. The braking system includes: a sensor configured to transmit a signal; a brake control unit (BCU) connected to the sensor and configured to determining a braking torque in response to the received signal; an electric motor connected to the BCU and configured to generate the braking torque; a braking mechanism connected to the electric motor to produce an braking effect from the braking torque; and a transmission situated between the braking mechanism and the wheel and configured to amplify the braking effect.

Abstract: A simulated dataset is queried for regression by validating a structured query language (SQL) statement, determining a pattern type of the SQL statement, reconstructing the SQL statement according to a predetermined process for the pattern type, creating a mutated SQL statement for querying a simulated dataset, and validating the mutated SQL statement. The simulated dataset is based on a confidential dataset having the confidential elements removed or replaced.

Abstract: A computer-implemented method to estimate an execution time for large query batches. The method includes identifying a batch of queries, where the batch of queries where each query is configured to retrieve data from a database. Selecting a first query and generating an access path for the first query including one or more mini plans. Building a learning model for the one or more mini plans. Estimating an estimated execution time for each of the one or more mini plans. Adding each of the estimated execution times for each of the one or more mini plans to determine a first total estimated time for the first query. Displaying the first total estimated time.

Abstract: A computer-implemented method selects an access path for high cost and/or complex queries. The method includes building a classification model configured to identify a lowest cost access path. The method further includes receiving a query, where the query is configured to retrieve a set of data from a database. The method also includes generating an access map for the query, where the access map includes one or more potential access paths to execute the query. The method includes collecting, for the query, a set of data for each potential access path. The method further includes classifying, by the classification model, the query. The method also includes selecting a first access path of the one or more potential access paths and executing the query.

Abstract: In a computer-implemented method for improving performance of a database optimizer, a processor calculates a first execution time for a database query executing through a first access path of a database system. A processor generates a second access path. A processor determines a second execution time via a simulation of the database query through the second access path. A processor determines that the second execution time is less than the first execution time. A processor, responsive to determining that the second execution time is less than the first execution time, sends the second access path to the database optimizer.

Abstract: Leveraging the competence of a computing cluster and a storage cluster by dynamically adjusting an SQL (structured query language) execution path to optimize system performance with fast response time under a distributed relational database on a data storage platform. Also, endpoint devices are divided into groups for the purpose of responding to queries and/or query blocks. The most suitable group of endpoint devices is chosen to respond to a given query or query block.

Abstract: Embodiments are disclosed for a method. The method includes determining demand resource for a batch jobs using a resource machine learning model trained to determine a cloud resource that the batch jobs use more than other resources during execution. The method further includes generating resource estimates for the demand resources. Additionally, the method includes determining a batch rating for a batch run using a batch rating machine learning model that is trained to generate a batch rating number based on features representing a priority of the batch run in reference to parallel execution batch runs. The method also includes generating a purchase recommendation for execution of the batch run on a cloud platform based on the resource estimates and the batch rating.

Abstract: In an approach for improving performance of a batch job running on database servers in an active-active architecture. A processor, responsive to a batch job being ready to be executed on a source database server, sends a first communication to a target database server with a synchronization start point. While executing the batch job, a processor utilizes a pre-lock function, pre-load function, and lock avoidance function to prevent lock conflicts. A processor, responsive to either the source database server or the target database server encountering a commit statement, suspends the respective database server and sends a second communication to ask if the other respective database server is ready to complete the commit statement. A processor, responsive to the other respective database server confirming its ready to complete the commit statement, completes the commit statement on both the source database server and the target database server.

Abstract: A method of managing a storage system comprises detecting a reference to a first page in the storage system. The method also comprises creating a first candidate block for the first page based on the detecting. The first candidate block may comprise a continuous series of pages that begins with the first page. The method also comprises monitoring subsequent references to pages within the first candidate block. The method also comprises determining that the first candidate block meets a first set of hot-block requirements. The method also comprises relocating the first candidate block to a hot-block space in a buffer pool based on the determining, resulting in a first hot block.

Abstract: The present disclosure relates to a system for measuring a naked-eye stereoscopic image, a method and apparatus for processing an image and a display device. The system includes: a naked-eye stereoscopic display device, configured to display preset images in sequence; an image acquisition device, configured to obtain monochromatic images by capturing display contents of the naked-eye stereoscopic display device, and send the monochromatic images to a processor; and a processor, configured to acquire at least one preset crosstalk amount to each stereoscopic pixel of the naked-eye stereoscopic display device from each view point according to the monochromatic images, where each of the at least one preset crosstalk amount represents a proportion coefficient that measures how much a view from another view point affects a color value of a view from a target view point.

Abstract: Disclosed herein is a method for expressing phytase in a filamentous fungus by using an optimized Escherichia coli phytase gene having a nucleotide sequence as shown in SEQ ID NO. 7 and a signal peptide having a nucleotide sequence as shown in SEQ ID NO. 12.

Abstract: Embodiments of the present disclosure relate to process management. In an embodiment, a computer-implemented method is disclosed. The method comprises identifying a theme of a process based on a set of communication information. The set of communication information is generated corresponding to performing the process. The method further comprises determining a plurality of roles in the process at least partly based on the set of communication information. The plurality of roles performs respective actions during performing the process. The method further comprises generating a framework of the process based on the theme and the plurality of roles. The framework comprises one or more branches. In other embodiments, a system and a computer program product are disclosed.

Abstract: Various embodiments disclosed relate to methods of predicting neutral detergent fiber digestibility (NDFD) properties of a feedstuff sample. A method of predicting neutral detergent fiber digestibility (NDFD) properties of a feedstuff sample includes collecting a near-infrared spectrum of the feedstuff sample to provide NIR data of the feedstuff sample. The method also includes predicting NDFD of the sample at an elapsed time, NDFD rate of the sample, and/or NDFD extent of the sample from the NIR data using a NIR/NDFD calibration model. Various embodiments provide a method of developing the NIR/NDFD calibration model using in vitro gas production (IVGP). Various embodiments provide a method of predicting digestibility of the feedstuff sample for an animal at a rumen passage rate (eNDF).