Abstract: Transient product master data may be used to represent temporarily used objects and resources. Instead of generating complete master data upfront, a placeholder is used in a tracking document for the temporary use. A tracking document for the temporary use includes a placeholder reference. When the product to be used temporarily is selected and ready to be physically moved, attributes and other information of the product may be sent to a management system via an interface. This information may be used to automatically generate transient material master data that is accessible using a reference. This reference may be used to update the placeholder reference in the tracking document and it may be used in further tracking documents.

Abstract: The disclosure provides systems and methods for data analysis of experimental data. The analysis can include reference data that are not directly generated from the present experiment, which reference data may be values of the experimental parameters that were either provided by a user, computed by the system with input from a user, or computed by the system without using any input from a user. Another example of such reference data may be information about the instrument, such as the calibration method of the instrument.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for automating the transfer/syncing of datasets or other artifacts from one security domain (e.g., a low security side environment) to another security domain (e.g., a high security side environment) in a seamless manner that complies with requirements of a data transfer mechanism used to transfer data between the two security domains while ensuring data integrity and consistency between the two security domains.

Abstract: The present disclosure provides systems and methods for controllable protein generation. According to some embodiments, the systems and methods leverage neural network models and techniques that have been developed for other fields, in particular, natural language processing (NLP). In some embodiments, the systems and methods use or employ models implemented with transformer architectures developed for language modeling and apply the same to generative modeling for protein engineering.

Abstract: Example implementations relate to metadata operations in a storage system. An example includes receiving, by a storage controller of a deduplication storage system, a plurality of data streams to be stored in persistent storage of the deduplication storage system; identifying, by the storage controller, a set of journals in a first journal group that are modified during a first backup process; determining, by the storage controller, a count of the set of journals that are modified during the first backup process; comparing, by the storage controller, the determined count to a migration threshold; and migrating, by the storage controller, at least one journal of the set of journals to a second journal group based at least on a comparison of the determined count to the migration threshold.

Abstract: Disclosed are an electronic device and a non-transitory computer-readable storage medium. Conventionally, most of institutions, companies, etc. have defined and used their own data standards for the business purposes. Most of the data is stored in relational database in a structured format. Now as convergence between industries, new business and new data increases, an active data management system is becoming necessary. The electronic devices according to the disclosure can provide data hub device providing automatically extendable data management function interworking with an open data reference model management device (an active metadata management). Accordingly, the data hubs can exchange standardized data maps among them so as to quickly adapt to such changes in the open industry environment.

Abstract: A data processing method includes: after receiving an export request for exporting data from the distributed database, acquiring, by a database import and export management node an active transaction list and export table distribution information at a current moment; notifying, by the database import and export management node, a corresponding database that the corresponding database performs a data export operation according to the export table distribution information; after determining that the corresponding database completes the data export operation, sending, by the database import and export management node, the active transaction list to a database agent node of the corresponding database; and after receiving a data consistency reverse compensation statement returned by the database agent node, importing, by the database import and export management node, the data exported by the corresponding database into a predetermined database and instructing the predetermined database to execute the data consist

Abstract: Computer systems and processes configured to collect empirical data from a plurality of observations of a person, and to analyze the data to identify a particular state of the person characterized by at least a particular property selected from the group consisting of types of behaviors, types of actions, types of activities, and/or types of emotions. The computer system facilitates transmission of a digital message, the content of which may be determined in response to the instance of the one particular state identified. The content of some digital messages may include experiments performed by the computer system on the person, to test the validity of the state-identification-process. The state-identification-process can then be updated with the observed responses of the person to the experiments, and with the results of the experiments. These experiments and the updating of the state-identification-process might be performed by the computer system to autonomously refine the state-identification-process.

Abstract: The present disclosure relates to Fragile X Syndrome (FXS) clinical testing, and in particular to an FXS AGG interruption polymerase chain reaction (PCR) assay and an AGG interruption genotyping algorithm for implementation into clinical testing. Particularly, aspects are directed to obtaining raw data from the FXS assay performed on a sample, iteratively searching the raw data and identifying one or more AGG peaks on the first allele using a first set of search spaces determined based on an expected AGG peak size, determining a number of CGG repeats downstream of a final AGG interruption and a number of CGG repeats preceding a first AGG interruption on the first allele based on the one or more AGG peaks, and generating an AGG genotype for the first allele based on the number of CGG repeats downstream of the final AGG interruption and the number of CGG repeats preceding the first AGG interruption.

Abstract: A system and method for extending compression-aware aggregation logic to column partitioned database sources when an SQL query involves simple or complex aggregate expressions. The logic can be applied when there are multiple fields specified in a Group By clause, when a Group By clause includes an expression involving multiple columns from a column partitioned table, or when there is no Group By clause in the query. This logic extends the benefits of push-down aggregation to complex aggregate queries to build partially aggregated rows that can be directly added into an intermediate cache. For cases where the fields within aggregate expressions are themselves compressed, the aggregation techniques leverage the compression information of the aggregate fields. This aggregation mechanism can be applicable to compression techniques including run-length encoding (RLE), value list compression (VLC) and Presence, Delta on Mean (PDM) on columnar source tables such as Column Partitioned (CP) or Parquet tables.

Abstract: Re-usage of part of object or object is highly important in manufacturing industry as it can drastically reduce cost and time spent on manufacturing. However, lack of proper information about availability of similar parts leads to redesigning of similar part. Existing databases for engineering drawings do not store categorized information due to which performing feature-based search is not possible. Present application provides systems and methods for extracting, digitizing, and using engineering drawing data. The system receives engineering drawing document and extracts text data present in each cell of table provided in document. Once table data is extracted, isometric views and views other than isometric views that are present in document are identified by the system using pretrained machine learning based model. The system further extract view labels and coordinate information from identified views.

Abstract: The present invention provides a data sorting device and method and a monitoring and diagnosis device, which are able to create a model conveniently. A data sorting device and a monitoring and diagnosis device of the present invention include an operating data database which stores operating data of the plant equipment in a time-series manner. The devices input the operating data that are highly associated physically and engineeringly among the operating data stored in the operating data database, inputting processing attributes relevant to the operating data that are highly associated physically and engineeringly, creating a model simulating characteristics of the plant equipment, and performing data sorting, monitoring, and diagnosis through use of the model.

Abstract: A method, a system, and a computer program product for generating an interpretable set of features. One or more search parameters and one or more constraints on one or more search parameters for searching data received from one or more data sources are defined. The data received from one or more data sources is searched using the defined search parameters and constraints. One or more first features are extracted from the searched data. The first features are associated with one or more predictive score values. The searching is repeated in response to receiving a feedback data responsive to the extracted first features. One or more second features resulting from the repeated searching are generated.

Abstract: A database comprising a digital signature of a smell, the digital signature comprising a smell data, the smell data comprising a response signal that is a function of a first data corresponding to a generator generating the response signal and a second data corresponding to a predetermined stimulus for generating the response signal, wherein the digital signature comprises binary data, wherein the response signal is a measurable response of the generator to the predetermined stimulus that is a function of change in electrical properties of resistance or impedance in the generator. wherein the generator generating the smell-related response signal is a Metal Oxide Semiconductor (MOS) in a sensor or a sensor pixel of a sensor array having a plurality of MOS sensor pixels having an MOS active material exposed to an analyte in the gas environment and the predetermined stimulus is a sequence of predetermined temperatures.

Abstract: Techniques for contextualizing utility visualization patterns in a utility infrastructure environment are described herein. A utility meter data dashboard associated with a type of event may be displayed. A selection of a portion of a first utility visualization displayed in the utility meter data dashboard is received, the portion being associated with a subset of utility data. One or more previously used utility visualizations may be determined from among a plurality of additional utility visualizations. One or more candidate utility visualizations associated with the type of event may be determined from among the previously used utility visualizations. A ranked list of one or more candidate utility visualizations may be displayed. A second utility visualization may be displayed based at least in part on a selection from the ranked list.

Abstract: Methods, systems and computer program products for associating geographical locations with annotations corresponding to content. In one method, a language model is developed. The language model is developed from the location information and the one or more annotations associated with content uploaded by users. The language model is based on the probabilistic distribution of locations over one or more annotations. Further, when a user provides one or more annotations, the system and the method may use the language model to identify one or more locations associated with the one or more annotations provided by the user. The language model predicts one or more geographical locations based on the probabilistic distribution of locations over the annotations.

Abstract: Prediction logic analyzes previous data usage activities of a customer process running on a host machine to generate a first prediction indicating that the customer process will request a first data set at a first time. The prediction logic retrieves the first data set from long-term storage and loads the first data set into memory on the host machine in advance of the first time in order to provide the customer process with access to first data set in the memory during a period between the first time and a second time. The prediction logic further generates a second prediction indicating that the customer process will not access the first data set for a threshold period of time after the second time and stores the first data set in the long-term storage at the second time.

Abstract: In some embodiments, status scores representing the status of an entity at various times are determined. Classifiers may be used to translate the status scores into status levels, and visual representations of the progression of the entity's status levels over time may be generated. In some embodiments, predictive models are used to detect outlying events and entities based on the status scores. Some predictive models may be used to predict whether an entity is an outlying candidate for a transition from one state to another state. Other predictive models may be used to predict whether an entity is an outlier relative to a group of other entities.

Abstract: Responsive to a request from a user device, a content server may perform an electronic discovery function. The request may include information on a quantity of data objects desired from a collection of data objects stored in a repository. Objects stored in the repository may be managed by the content server. The content server may determine a number of batches and process the collection of data objects into batches, each having a batch size. An efficient selection process may be determined and utilized in selecting data objects from each of the batches such that a total number of data objects selected from the collection is not less than the quantity of data objects desired. The content server may make a disk image of the selected data objects and communicate same to the user device over a network.

Abstract: A data synchronization method and device for databases, and a storage medium are disclosed. The method includes: in the case where transaction response results fed back by multiple data nodes are all successful, receiving transaction commit request messages sent by a client, and writing a global transaction ID into a transaction processing list; sending the transaction commit request messages to the multiple data nodes; receiving transaction commit results fed back by the multiple data nodes; and in the case where the transaction commit results fed back by the multiple data nodes are all successful, applying to a global transaction manager to release the global transaction ID.