Abstract: A removal tool uses magnetic attraction to guide the removal tool toward an implantable device subcutaneously implanted in subcutaneous tissue of a host and to remove the implantable device from the host. The removal tool may include first and second lever members that are pivotably connected together, and the first and second lever members include a pair of jaw members configured to move between open and closed positions to grasp the implantable device. The first jaw member may include a magnet to magnetically attract and couple to an implantable device implanted subcutaneously below a skin surface of a host.

Abstract: Provided herein are compounds, or salts, esters, tautomers, prodrugs, zwitterionic forms, or stereoisomers thereof, as well as pharmaceutical compositions comprising the same. Also provided herein are methods of using the same in modulating (e.g., inhibiting) KRAS (e.g., KRAS having a G12C mutation) and treating diseases or disorders such as cancers in subjects in need thereof.

Abstract: Apparatus and methods for broadband low noise amplifiers (LNAs) with integrated limiters and fast recovery time are provided. In certain embodiments, an LNA includes a radio frequency (RF) amplification circuit, a feedback resistor connected along a feedback path from an output to an input of the RF amplification circuit, an input limiting circuit connected along an RF signal path between an RF input terminal and the input to the RF amplification circuit, and an input bias circuit that provides an input bias voltage to the input of the RF amplification circuit through the input limiting circuit.

Abstract: Provided herein are compounds of formula (I) and (II), or salts, esters, tautomers, prodrugs, zwitterionic forms, or stereoisomers thereof, as well as pharmaceutical compositions comprising the same. Also provided herein are methods of using the same in modulating (e.g., inhibiting) KRAS (e.g., KRAS having a G12D mutation) and treating diseases or disorders such as cancers in subjects in need thereof.

Abstract: A method, computer program product, and computer system are provided for container cross-cluster capacity scaling. The method includes broadcasting local capacity information of capacity availability or capacity requirement for the local cluster and receiving broadcasts from each of one or more other clusters providing capacity information including capacity availability or capacity requirements. The method may map the received capacity information with the local capacity information and may determine a suitable cross-cluster capacity sharing when a capacity requirement of the local cluster maps to a capacity availability of another cluster or when a capacity availability of the local cluster maps to a capacity requirement of another cluster. The method may coordinate the deallocation of a node from the cluster having the capacity availability and reallocation of the node to the cluster having the capacity requirement.

Abstract: In some examples, example-based ontology training for natural language query processing may include identifying, based on an analysis of a query by using an ontology, a term in the query that includes an unknown meaning. The query may be in a natural language format. Based on a context of the query, a proposed definition of the term may be inferred. Based on the proposed definition of the term, a request may be generated to provide a definition of the term, or to modify the proposed definition of the term. A reply to the request may be received. The reply may be in the natural language format. The reply may be analyzed to update the proposed definition of the term. The ontology may be modified to include the updated definition of the term. Based on the modified ontology, a response to the query may be generated.

Abstract: The modifying of a natural language interpretation model for interpreting natural language queries. The system discovers modifications that one or more queriers made to one or more original query results of one or more natural language queries to generate one or more modified query results. The system then uses the discoveries to identify one or more changes to a natural language interpretation model that would result (given the same natural language queries) in one or more query results that more accurately reflect the one or more modified query results. The system the causes the natural language interpretation model to be modified with at least one of the one or more identified changes. Accordingly, over time, the natural language interpretation model may learn from observations of its own performance.

Abstract: A mechanism for responding to a natural language query. Linguistic parsing is applied to the natural language query to generate a set of language element(s). One or more of those language elements are mapped to parameters and/or data elements of a parameterized report, which is selected for use in responding to the query based on the mapping. The selection of the parameterized report and/or mapping to the parameterized report may use the schema of the underlying dataset that the parameterized report uses in order to perform more precise mapping and selection. The selected parameterized report is then used to construct structured data that is responsive to the query. For instance, the structured data could include visualizations. In this manner, already existing parameterized reports that were previously used to generated structured data in the form of reports, may again be used in order to respond to natural language queries.

Abstract: The present invention is concerned with a surface cleaning apparatus. The apparatus has substantially elongate and laterally extending head portion and a handle portion defining a longitudinal axis generally perpendicular to the head portion. The head portion includes opposite lateral ends, a first housing defining a first chamber and a rim forming an opening via which water from a surface to be cleaned enters the first chamber, a squeegee connected to the rim for directing the water via the opening to the first chamber, and guide means for guiding the water from the squeegee to the first chamber for initial containment, thus minimizing the water from dripping away from the apparatus in use, and the handle portion includes a second housing forming the handle portion and defining a second chamber for receiving and containing the water from the first chamber for subsequent containment.

Abstract: A surface cleaning device, such as a floor mop, has a handle via which a user holds on to the device and maneuvers the device during use, a head to which the handle connects, a base at which the head is secured and is situated, in normal use, below the head. The base is provided with, in normal use, a lower surface for engaging a surface to be cleaned via a removable or disposable substrate material, wherein the base is provided with a plurality of grippers for securing the disposable substrate material, the base and the grippers belong to an integral component.

Abstract: Mechanisms to help a computing system respond to a request for information within a data model. After determining that there is insufficient information within the data model to respond to the request, the computing system identifies one or more additional data sources that are external to the data model and that contain information suitable to respond to the request. The computing system then automatically supplements the data model with at least one of such additional data sources. The computing system then responds to the request using the supplemented data model. In some embodiments, the supplementation is performed in advance of the request by analyzing the characteristics of the data model and/or by anticipating possible future requests. Thus, a data model grows automatically in response to particular usage of that data model to satisfy requests.

Abstract: The modifying of a natural language interpretation model for interpreting natural language queries. The system discovers modifications that one or more queriers made to one or more original query results of one or more natural language queries to generate one or more modified query results. The system then uses the discoveries to identify one or more changes to a natural language interpretation model that would result (given the same natural language queries) in one or more query results that more accurately reflect the one or more modified query results. The system the causes the natural language interpretation model to be modified with at least one of the one or more identified changes. Accordingly, over time, the natural language interpretation model may learn from observations of its own performance.

Abstract: A computer-implemented method for generating a report from a report definition specifying a plurality of data scopes for a dataset includes interpreting, with a processor, a report definition for the report, the report definition comprising a calculation expression for populating a unit of the report, the calculation expression comprising a data aggregation operation, the data aggregation operation comprising an originating reference to a further data scope, accessing a memory coupled to the processor to obtain data from the dataset for respective subsets of the dataset corresponding with the further data scope, determining, with the processor, an output value for the calculation expression in accordance with the obtained data and the data aggregation operation, and rendering the report based on the output value.

Abstract: The modifying of a natural language interpretation model for interpreting natural language queries. The system discovers modifications that one or more queriers made to one or more original query results of one or more natural language queries to generate one or more modified query results. The system then uses the discoveries to identify one or more changes to a natural language interpretation model that would result (given the same natural language queries) in one or more query results that more accurately reflect the one or more modified query results. The system the causes the natural language interpretation model to be modified with at least one of the one or more identified changes. Accordingly, over time, the natural language interpretation model may learn from observations of its own performance.

Abstract: A mechanism for responding to a natural language query. Linguistic parsing is applied to the natural language query to generate a set of language element(s). One or more of those language elements are mapped to parameters and/or data elements of a parameterized report, which is selected for use in responding to the query based on the mapping. The selection of the parameterized report and/or mapping to the parameterized report may use the schema of the underlying dataset that the parameterized report uses in order to perform more precise mapping and selection. The selected parameterized report is then used to construct structured data that is responsive to the query. For instance, the structured data could include visualizations. In this manner, already existing parameterized reports that were previously used to generated structured data in the form of reports, may again be used in order to respond to natural language queries.

Abstract: Embodiments are directed to determining a data insertion point in a data layout based on relative cardinalities between data objects and to determining a data insertion point in a data layout based on defined hierarchies between data objects. In an embodiment, a computer system receives a user input indicating that an additional portion of information is to be added to an existing data layout which includes multiple different data objects. The computer system accesses the data objects to determine relative cardinalities between the data objects in the data layout. The computer system determines an optimal data insertion point for inserting the additional portion of information based on the determined relative cardinalities between the data objects. The computer system also inserts the additional portion of information in the existing data layout at the determined optimal data insertion point.

Abstract: A surface cleaning device, such as a floor mop, has a handle via which a user holds on to the device and maneuvers the device during use, a head to which the handle connects, a base at which the head is secured and is situated, in normal use, below the head. The base is provided with, in normal use, a lower surface for engaging a surface to be cleaned via a removable or disposable substrate material, wherein the base is provided with a plurality of grippers for securing the disposable substrate material, the base and the grippers belong to an integral component.

Abstract: Mechanisms to help a computing system respond to a request for information within a data model. After determining that there is insufficient information within the data model to respond to the request, the computing system identifies one or more additional data sources that are external to the data model and that contain information suitable to respond to the request. The computing system then automatically supplements the data model with at least one of such additional data sources. The computing system then responds to the request using the supplemented data model. In some embodiments, the supplementation may be performed in advance of the request by analyzing the characteristics of the data model and/or by anticipating possible future requests. Thus, a data model may grow automatically in response to particular usage of that data model to satisfy requests.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.

Abstract: A reporting system is described herein that allows a report author to declare data reporting structures that specify to a reporting application how to dynamically categorize data with changing or potentially unknown characteristics. The reporting system may extend RDL and the data grouping provided by Microsoft SQL Server Reporting Services by adding new elements to the XML-based RDL schema. The reporting system allows the report author to specify for the system to fill gaps in the data, so that the report has a similar layout even as data changes from period to period. The reporting system also allows the report author to specify whether data that does not fit any predefined group bucket is displayed in a report. Thus, the reporting system allows unsophisticated database users to define reports that group data consistently regardless of missing values or other changes in the underlying data.