Abstract: The present disclosure provides techniques and solutions for enhancing or customizing the functionality of software applications, such as “apps.” More particularly, the present disclosure provides for grouping app extensions into groups, such as groups representing a particular semantic domain. A group of extensions can be applied to one or more apps. Applying extensions as a group can save development time and effort, as can the ability to apply a given extension group to multiple apps, either at the same time or over a particular time period. Further disclosed aspects assist users in implementing extensions with an extension group, such as assisting in determining where in a user interface particular extensions should appear. Once an extension group has been selected to be applied to an app, programmatic logic can cause the extensions to be automatically implemented in a computing artifact/object used by a particular extended app.

Abstract: An information management apparatus is capable of reducing an effort for creating a rule for moving data stored in an OLTP database to an OLAP database, for example. A data movement optimization apparatus includes a table status update unit that acquires a table status in which data is stored for each of an OLTP database and an OLAP database selected from among a plurality of databases, a policy network learning unit that performs learning on the number of federated queries that are processing in which it is necessary to query both the OLTP database and the OLAP database for the table status, and a cost incurred when data is moved from the OLTP database to the OLAP database, and a data movement unit that performs control for moving data from the OLTP database to the OLAP database on the basis of a result of the learning and the table status.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a query term is obtained from a natural language query. A table summary is prepared based on the query term and a formula of the natural language query is generated based on the table summary. A result is generated based on the formula. Responsive to receiving negative feedback to the result, one or more of the table summary or the formula is disassociated from the query term.

Abstract: Extensions to a source software application are migrated to a target. Template records are constructed containing corresponding sets of attributes for source and target applications. Analysis of a source extension yields source extension attributes. A matching template record is used to map the source extension attributes to corresponding target extension attributes. A proposal for a migrated target extension is formulated, simulated in a sandbox, and committed to the target application. Client interaction supports selection or approval of application versions, proposals, or simulation output. Template records, constructed without knowledge of specific extensions implemented on a particular application instance, are provided to the source application environment, enabling remaining migration operations to be performed locally in source and target environments, maintaining data privacy. Examples are provided for a front-end software application in a database environment.

Abstract: Embodiments herein describe preventing a pluggable module from connecting to a chassis until ensuring there is no damage on the pluggable module, the chassis, or both. In one embodiment, the chassis includes a blocking element that prevents or blocks the pluggable module from mating with the chassis. The chassis can also include a camera for capturing an image of the pluggable module to determine whether there is damage to its connection elements (e.g., pins). If not, the chassis can release the locking pin to permit the pluggable module to mate with connection elements on the chassis.

Abstract: According to some embodiments, systems and methods are provided, comprising receiving, at a Help Documentation Enabler (HDE) module, a request for loading an application; identifying one or more displayable fields of the application in response to the received request; determining the one or more identified displayable fields is associated with an annotation; determining the annotation is a documentation annotation by identifying a documentation annotation indicator in a documentation annotation definition is set to TRUE; retrieving a documentation for the field associated with the annotation via a documentation mapper API of the Help Documentation Enabler (HDE) module; converting the documentation annotation definition for the retrieved documentation from a first format to a second format, wherein the second format is associated with the requested application; and rendering the documentation on a user interface of the requested application. Numerous other aspects are provided.

Abstract: A computer-implemented is disclosed. The method includes: allocating a first quantity of resources associated with one or more database records of an entity to a first device operation of a computing device associated with the entity; detecting a trigger condition associated with the first device operation for generating offers for lending resources to the entity in connection with the first device operation; in response to detecting the trigger condition: determining a second quantity of resources associated with the one or more database records for allocating to the first device operation based on a difference between a threshold quantity of resources associated with performing the first device operation and a total quantity of resources associated with the one or more database records previously allocated to the first device operation; and transmitting, to the computing device, a message representing an offer for lending the second quantity of resources.

Abstract: Disclosed herein are methods and systems to predict, quantify, and present a patient's burden when participating in a clinical trial. A method includes gathering data associated with a clinical trial, such as receiving operational parameters of a new clinical trial. The method also includes executing one or more computer models to predict a quantified burden associated with the clinical trial including a patient burden score, a site burden score, and/or a burden cost. The method then includes presenting an interactive electronic platform that includes one or more graphical user interfaces configured to present the patient burden score(s) where when one or more operational attributes of the clinical trial is revised, the electronic platform revises the presented data accordingly.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Abstract: Techniques for context sensitive illustrated graphical user interface elements, comprising a social networking application. The social networking application may include, among other components, a social networking graphical elements management component to provide a list of recommended graphical element identifier information, in response to a request for the list of recommended graphical element identifier information, a context determination component to determine user context information representative of the at least one user context based at least partially on user communications intent information, user profile information, device location information, calendar event information, and/or external event information, and a graphical elements recommendation component to generate the list of recommended graphical element identifier information based at least partially on the user profile information, graphical elements promotion information, and/or the user context information.

Abstract: A method for stabilization of a video sequence captured by an electronic device is provided. The method includes identifying a subject in the video sequence, estimating a velocity of the subject relative to the electronic device, determining a point of view of a subject in the video sequence with respect to the electronic device and the velocity of the subject relative to the electronic device and stabilizing the video sequence based on the determined point of view.

Abstract: The present invention relates to a novel Lactobacillus plantarum IMB19 strain, polysaccharides derived from the strain, and a use thereof. A novel Lactobacillus plantarum IMB19 strain and polysaccharides derived from the strain of the present invention exhibit an excellent CD8+T cell activity stimulating ability and Treg cell inhibitory activity, and stimulate and improve an antitumor immune response through various mechanisms such as increased macrophage infiltration in CPS tumors and differentiation and reprogramming of macrophages into an inflammatory phenotype (M1). Therefore, a strain and polysaccharides derived from the strain of the present invention can be effectively used for immune regulation, especially immune boosting, in a subject, and can inhibit tumor growth by inducing and enhancing an antitumor immune response.

Abstract: In one embodiment, a method includes determining, by a router, a common prefix pool from a transport interface associated with a transport virtual private network (VPN). The method also includes identifying, by the router, a prefix associated with a service VPN and generating, by the router, an IPv6-to-IPv6 Network Address Translation (NAT66) prefix translation using the common prefix pool and the prefix. The NAT66 prefix translation includes a predetermined prefix length. The method further includes automatically installing, by the router, the NAT66 prefix translation into a translation table.

Abstract: The disclosure generally relates to methods and systems for generating synthetic microstructure images of a material with desired features. Conventional techniques that make use of unsupervised deep generative models has no control on the generated microstructure images with specific, desired set of features. The present disclosure generates the synthetic microstructure images of the material with desired feature, by using a variational autoencoder defined with a style loss function. In the first step, the variational autoencoder is trained to learn latent representation of microstructure image of the material. In the second step, some of the dimensions of learned latent representation is interpreted as physically significant features. In the third and last step, the latent representation required for getting the desired features is appropriately sampled based on the interpretation to generate the synthetic microstructure images of the material with desired features.

Abstract: A method and system are provided to infer and use machine learning algorithms that is applied to financial data and also to determine: (i) compliance with the applied algorithms, and (ii) whether any exceptions to and/or variations from the algorithms are within an organization's norms. A method includes: receiving financial data; applying a set of dynamic or interdependent algorithms to the received financial data to obtain a set of outcomes; and using a machine learning classifier to classify the outcomes as: (i) algorithm compliant, (ii) potentially algorithm non-compliant, or (iii) algorithm non-compliant. Additionally, the method includes generating controllership persona based actionable triggers, which on acceptance corrects the anomalies in financial data, enabling the method and system to perform as a comprehensive, contextual, consistent & machine learning powered, persona based real time controllership engine leading to reduced misstatements in reported financial data.

Abstract: An improved system and process for machine-learning upgrade analysis and training thereof is provided herein. A request to analyze the time to upgrade a current system to a target system may be received. A change list having one or more changes for the target system may be read. Custom code for the current system may be compared to the change list to identify recommended changes to the custom code to upgrade the custom code to be compatible with the target system. The recommended changes may be classified into one or categories respectively via a trained first machine-learning algorithm. Time to upgrade the custom code for the respective classified changes may be estimated via a trained second machine-learning algorithm. The recommended changes, the classifications of the recommended changes, and the time estimates of the recommended changes may be provided.

Abstract: Techniques for context sensitive illustrated graphical user interface elements, comprising a social networking application. The social networking application may include, among other components, a social networking graphical elements management component to provide a list of recommended graphical element identifier information, in response to a request for the list of recommended graphical element identifier information, a context determination component to determine user context information representative of the at least one user context based at least partially on user communications intent information, user profile information, device location information, calendar event information, and/or external event information, and a graphical elements recommendation component to generate the list of recommended graphical element identifier information based at least partially on the user profile information, graphical elements promotion information, and/or the user context information.

Abstract: Systems and processes for validating data for reuse in a system are provided herein. An object type relating to a scenario of operations performed by a system of an organization may be identified. Database tables and characteristics related to an object corresponding to the object type, as well as an application programming interface (API) related to the object may be identified. Data in the database tables may be validated for reuse in the system using the API, and an indication of results of validating the data may be output to a user interface.

Abstract: Extensions to a source software application are migrated to a target. Template records are constructed containing corresponding sets of attributes for source and target applications. Analysis of a source extension yields source extension attributes. A matching template record is used to map the source extension attributes to corresponding target extension attributes. A proposal for a migrated target extension is formulated, simulated in a sandbox, and committed to the target application. Client interaction supports selection or approval of application versions, proposals, or simulation output. Template records, constructed without knowledge of specific extensions implemented on a particular application instance, are provided to the source application environment, enabling remaining migration operations to be performed locally in source and target environments, maintaining data privacy. Examples are provided for a front-end software application in a database environment.

Abstract: Embodiments of present disclosure provide methods and systems for increasing transaction approval rate. Method performed includes accessing transaction features and determining via fraud model and approval model, first and second set of rank-ordered transaction features. Method includes computing difference in ranks of transaction features and determining set of utilized and unutilized transaction features and generating simulated authorizing model and computing simulated transaction approval rate and simulated fraud transaction rate for simulated authorizing model. Method includes generating plurality of proxy authorization models. Method includes computing transaction approval rates and fraud transaction rates for each of plurality of proxy authorization models and computing an increase in transaction approval rate and change in fraud transaction rate for each of plurality of proxy transaction approval models.