Abstract: Aggregated log index-based log record identification is provided by maintaining log files of a database system on a plurality log storage devices, the log files including log records of changes to database objects, indexing the log files to obtain a collection of log indexes, where the indexing includes, for each log storage device, indexing log records stored on the log storage device to obtain a respective log index, then based on a request, identifying log storage devices that store log records for servicing the request, the log storage devices storing log indexes, of the collection of log indexes, that index an aggregate set of log records on the log storage devices, obtaining the log indexes from the log storage devices, and aggregating the log indexes to provide an aggregated log index that provides an index of the aggregate set of log records on the log storage devices.

Abstract: A workload is generated to verify a system. The generating includes parsing one or more statements of an input test case to create one or more parsed structures. A comparison is performed of at least one parsed structure of the one or more parsed structures and at least one workload structure of at least one existing workload to identify one or more workload structures as matching the at least one parsed structure. Runtime data relating to at least the one or more workload structures identified as matching is obtained. The workload is created based on at least one matching workload structure of the one or more workload structures identified as matching, the at least one parsed structure of the one or more parsed structures and the runtime data.

Abstract: Embodiments disclosed herein relate to the field of plant molecular biology, specifically to DNA constructs for conferring insect resistance to a plant.

Abstract: A workload is generated to verify a system. The generating includes parsing one or more statements of an input test case to create one or more parsed structures. A comparison is performed of at least one parsed structure of the one or more parsed structures and at least one workload structure of at least one existing workload to identify one or more workload structures as matching the at least one parsed structure. Runtime data relating to at least the one or more workload structures identified as matching is obtained. The workload is created based on at least one matching workload structure of the one or more workload structures identified as matching, the at least one parsed structure of the one or more parsed structures and the runtime data.

Abstract: Embodiments disclosed herein relate to the field of plant molecular biology, specifically to DNA constructs for conferring insect resistance to a plant. Embodiments disclosed herein relate to insect resistant corn plant containing event DP-910521-2, and to assays for detecting the presence of event DP-910521-2 in samples and compositions thereof.

Abstract: Embodiments disclosed herein relate to the field of plant molecular biology, specifically to DNA constructs for conferring insect resistance to a plant. Embodiments disclosed herein relate to insect resistant corn plant containing event DAS-01131-3, and to assays for detecting the presence of event DAS-01131-3 in samples and compositions thereof.

Abstract: Embodiments disclosed herein relate to the field of plant molecular biology, specifically to DNA constructs for conferring insect resistance to a plant. Embodiments disclosed herein relate to insect resistant corn plant containing event DP-915635-4, and to assays for detecting the presence of event DP-915635-4 in samples and compositions thereof.

Abstract: A self-learning, self-healing database-management system determines that erroneous input, such as an improper SQL query, has caused a critical database condition. The system parses each input statement into a set of tokens, and then translates each set into lines of a failure script. The script is consolidated by cross-referencing each line to infer relationships between input statements. The system then searches historical database logs for previously entered, error-free input similar to the erroneous input. A degree of similarity between the erroneous input and each previously entered input is determined by a computational method that quantifies similarities between the failure script and each script generated from a previously entered input. The system revises the erroneous input to more closely match the most-similar previously entered input and resubmits the corrected input. The results of the resubmission are used to train the system to more accurately correct future input errors.

Abstract: The present disclosure relates to the technical field of microorganisms, in particular to Lactobacillus gasseri HMV18 and an exocrine protein and an application thereof. The Lactobacillus gasseri HMV18 is preserved in the China Center for Type Culture Collection on Jul. 11, 2019 with a preservation number of CCTCC NO: M 2019538, and a preservation address of Wuhan University, Wuhan, China. The protein extracted from the Lactobacillus gasseri HMV18 has antibacterial and anti-tumor effects, but basically has no effect on normal myocardial cells, so the Lactobacillus gasseri HMV18 can be applied to preparation of antibacterial and anti-tumor products.

Abstract: Aggregated log index-based log record identification is provided by maintaining log files of a database system on a plurality log storage devices, the log files including log records of changes to database objects, indexing the log files to obtain a collection of log indexes, where the indexing includes, for each log storage device, indexing log records stored on the log storage device to obtain a respective log index, then based on a request, identifying log storage devices that store log records for servicing the request, the log storage devices storing log indexes, of the collection of log indexes, that index an aggregate set of log records on the log storage devices, obtaining the log indexes from the log storage devices, and aggregating the log indexes to provide an aggregated log index that provides an index of the aggregate set of log records on the log storage devices.

Abstract: A self-learning, self-healing database-management system determines that erroneous input, such as an improper SQL query, has caused a critical database condition. The system parses each input statement into a set of tokens, and then translates each set into lines of a failure script. The script is consolidated by cross-referencing each line to infer relationships between input statements. The system then searches historical database logs for previously entered, error-free input similar to the erroneous input. A degree of similarity between the erroneous input and each previously entered input is determined by a computational method that quantifies similarities between the failure script and each script generated from a previously entered input. The system revises the erroneous input to more closely match the most-similar previously entered input and resubmits the corrected input. The results of the resubmission are used to train the system to more accurately correct future input errors.

Abstract: A method of auto updating a password comprises opening a password file and a new password file and reading information from the password file including user ID type. The method applies the user ID type to a predetermined application type and executes password-updating logic to generate a new password for the application type. The method further updates the new password file with the new password for the predetermined application type. A system comprises at least one of a hardware component and a software component configured to read information from a password file including user ID type. The hardware component and/or software component is further configured to determine that the user ID type matches to an application type and to apply the user ID type to the matched application type. The hardware component and/or software component is further configured to generate a new password for the application type and to update the password file with the new password for the application type.

Abstract: A method of auto updating a password comprises opening a password file and a new password file and reading information from the password file including user ID type. The method applies the user ID type to a predetermined application type and executes password-updating logic to generate a new password for the application type. The method further updates the new password file with the new password for the predetermined application type. A system comprises at least one of a hardware component and a software component configured to read information from a password file including user ID type. The hardware component and/or software component is further configured to determine that the user ID type matches to an application type and to apply the user ID type to the matched application type. The hardware component and/or software component is further configured to generate a new password for the application type and to update the password file with the new password for the application type.