Abstract: Disclosed herein are systems and methods for implementing a RELATED command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a RELATED command term and a specified column as a parameter for the RELATED command term; querying the database using the RELATED command term and passing the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements including a column identifier and a confidence indicator for the specified column passed with the RELATED command term, wherein the confidence indicator in

Abstract: Disclosed herein are systems and methods for implementing a RELATED command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a RELATED command term and a specified column as a parameter for the RELATED command term; querying the database using the RELATED command term and passing the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements including a column identifier and a confidence indicator for the specified column passed with the RELATED command term, wherein the confidence indicator in

Abstract: Disclosed herein are systems and methods for implementing a RELATED command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a RELATED command term and a specified column as a parameter for the RELATED command term; querying the database using the RELATED command term and passing the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements including a column identifier and a confidence indicator for the specified column passed with the RELATED command term, wherein the confidence indicator in

Abstract: Disclosed herein are systems and methods for implementing a GROUP command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a GROUP command term and a specified column as a parameter for the GROUP command term; querying the database using the GROUP command term and passing the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of groups specified therein, each of the returned groups of the predictive record set including a group of one or more rows of the dataset. Other related embodiments are further disclosed.

Abstract: Disclosed herein are systems and methods for implementing a SIMILAR command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a SIMILAR command term, a specified row as a parameter for the SIMILAR command term, and a specified column as a parameter for the SIMILAR command term; querying the database using the SIMILAR command term and passing the specified row and the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements of the predictive record set including (i) a row identifier which corre

Abstract: Disclosed herein are systems and methods for implementing a SIMILAR command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a SIMILAR command term, a specified row as a parameter for the SIMILAR command term, and a specified column as a parameter for the SIMILAR command term; querying the database using the SIMILAR command term and passing the specified row and the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements of the predictive record set including (i) a row identifier which corre

Abstract: Disclosed herein are systems and methods for implementing a GROUP command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a GROUP command term and a specified column as a parameter for the GROUP command term; querying the database using the GROUP command term and passing the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of groups specified therein, each of the returned groups of the predictive record set including a group of one or more rows of the dataset. Other related embodiments are further disclosed.

Abstract: Disclosed herein are systems and methods for implementing a RELATED command with a predictive query interface including means for generating indices from a dataset of columns and rows, the indices representing probabilistic relationships between the rows and the columns of the dataset; storing the indices within a database of a host organization; exposing the database of the host organization via a request interface; receiving, at the request interface, a query for the database specifying a RELATED command term and a specified column as a parameter for the RELATED command term; querying the database using the RELATED command term and passing the specified column to generate a predictive record set; and returning the predictive record set responsive to the query, the predictive record set having a plurality of elements therein, each of the returned elements including a column identifier and a confidence indicator for the specified column passed with the RELATED command term, wherein the confidence indicator in

Abstract: A data storage device comprises a memory in which a collection of prostate cancer screening data is stored. The screening data is obtained from a selection of the general male population without medical pre-selection. A device for indicating a risk for a disease of an individual, comprises an indicator for indicating a determined value for said risk. The indicator comprises a risk scale representing a range of values of said risk, and at least one dialler for entering a value of a diagnostic parameter of an individual. The dialler comprises a parameter scale representing a range of values of said diagnostic parameter. The dialler is movable with respect to said indicator such that when a parameter value on said parameter scale is selected, an associated risk value is indicated on said risk scale according to a predetermined mathematical relationship.

Abstract: A data storage device comprises a memory in which a collection of prostate cancer screening data is stored. The screening data is obtained from a selection of the general male population without medical pre-selection. A device for indicating a risk for a disease of an individual, comprises an indicator for indicating a determined value for said risk. The indicator comprises a risk scale representing a range of values of said risk, and at least one dialler for entering a value of a diagnostic parameter of an individual. The dialler comprises a parameter scale representing a range of values of said diagnostic parameter.

Abstract: For the recognition of a teleservice when establishing a call in a telephone network from a calling party to a target subscriber, on the basis of the call request, in an exchange of the network, preferably a target exchange assigned to the target subscriber, a signal identifier is temporarily applied to the requested call, for a duration that is at least sufficient for the calling party to send out a service call signal that indicates a teleservice. If a service call signal was received by the signal identification, this signal is evaluated with regard to the indicated service, and further handling of the call is carried out as a function of the service indicated in this manner.

Abstract: In order to identify a teleservice during the setting up of a connection in a telephone network (PSTN) from a calling point (TXA) to a target subscriber (TNB), a signal recognition device (22) is temporarily applied to the requested connection on the basis of the call request (20) in a switching center of the network, preferably in a target switching center (VSB) associated with the target subscriber, said signal recognition device being sufficient at least for emitting a service call signal indicating a teleservice, via the calling point (TXA). When a service call signal is received (23) by the signal recognition device, said signal is evaluated in terms of the service indicated, and the connection (24-26) is further treated according to the service thus indicated.

Abstract: Particulate, filterable polystyrene formulations are obtained by anionic polymerization of styrene in nonaqueous dispersion if the polymerization is carried out in an aliphatic hydrocarbon as the dispersing medium and with a styrene/diene/styrene three-block copolymer, for example based on polybutadiene or polyisoprene, as the dispersant.