Abstract: Disclosed are various embodiments for augmented intelligent machine for systematic attribution of data security. A set of global regulations is received by the system. Next, at least one decision rule for mapping one or more data elements is output based at least in part on the set of dynamic global regulations. A data input is received from at least one data source. Next, the data input is parsed to determine at least one sensitive data elements. Then, a confidentiality level of at least one sensitive data element is determined. The ingesting table is joined with a drive mapping data set. Finally, at least one security policy is applied to a type of data input based at least in part on the drive mapping data set or the confidentiality level.

Abstract: Disclosed are various embodiments for augmented intelligent machine for systematic attribution of data security. A set of global regulations is received by the system. Next, at least one decision rule for mapping one or more data elements is output based at least in part on the set of dynamic global regulations. A data input is received from at least one data source. Next, the data input is parsed to determine at least one sensitive data elements. Then, a confidentiality level of at least one sensitive data element is determined. The ingesting table is joined with a drive mapping data set. Finally, at least one security policy is applied to a type of data input based at least in part on the drive mapping data set or the confidentiality level.

Abstract: A method, system, and computer readable storage to implement a data marketplace which stored data assets, such as tables, models, variables, etc. All of the data assets (assets) can be searched and retrieved from the data marketplace notwithstanding that the assets can be stored at different locations, in different forms, and in different platforms through an entire big data system. The data marketplace also predicts and suggests assets which will be likely to be relevant to a user's current project.

Abstract: The method includes receiving historical data from a first data source; analyzing the historical data for a desired characteristic; determining a representative value for the desired characteristic of the historical data; determining a first data expectation for the historical data based on the representative value; transmitting the first data expectation to a first data recipient; receiving first incoming data from the first data source; analyzing the desired characteristic of the first incoming data; determining a first incoming data value for the desired characteristic for the first incoming data; comparing the first incoming data value and the representative value; determining a first difference between the first incoming data value and the representative value; and/or comparing the first difference to a difference threshold which indicates whether a difference between an incoming data value and the representative value is significant.

Abstract: The method includes receiving historical data from a first data source; analyzing the historical data for a desired characteristic; determining a representative value for the desired characteristic of the historical data; determining a first data expectation for the historical data based on the representative value; transmitting the first data expectation to a first data recipient; receiving first incoming data from the first data source; analyzing the desired characteristic of the first incoming data; determining a first incoming data value for the desired characteristic for the first incoming data; comparing the first incoming data value and the representative value; determining a first difference between the first incoming data value and the representative value; and/or comparing the first difference to a difference threshold which indicates whether a difference between an incoming data value and the representative value is significant.

Abstract: Described herein are polymeric compositions that comprise at least one polymer residue and at least one crosslinking moiety, wherein the polymer residue is crosslinked by the crosslinking moiety and wherein the crosslinking moiety is formed from a reaction between a boronic acid moiety and a hydroxamic acid moiety. Also, described are methods of making and using such polymeric compositions.

Abstract: Intravaginal drug delivery devices, including intravaginal rings, are provided herein. The devices comprise a polyether urethane composition and a pharmaceutically effective amount of at least one vaginally administrable drug homogeneously distributed throughout the polyether urethane. The devices are capable of exhibiting a substantially zero order release profile of drug over extended periods of time. Also disclosed are methods for making the devices and methods of using the devices to prevent or treat a biological condition.

Abstract: The present disclosure relates to biodegradable intravaginal rings for the delivery of therapeutic or prophylactic agent, inter alia, antiviral agents. The present disclosure further relates to biodegradable polyurethanes which will allow therapeutic/prophylactic agents to be released in a controlled manner that will not degrade when in use, but will degrade upon disposal.

Abstract: Described herein are polymeric compositions that comprise at least one polymer residue and at least one crosslinking moiety, wherein the polymer residue is crosslinked by the crosslinking moiety and wherein the crosslinking moiety is formed from a reaction between a boronic acid moiety and a hydroxamic acid moiety. Also, described are methods of making and using such polymeric compositions.

Abstract: The present disclosure relates to biodegradable intravaginal rings for the delivery of therapeutic or prophylactic agent, inter alia, antiviral agents. The present disclosure further relates to biodegradable polyurethanes which will allow therapeutic/prophylactic agents to be released in a controlled manner that will not degrade when in use, but will degrade upon disposal.

Abstract: System and method for object-centric Storage Area Network (SAN) zoning visualization. Embodiments may provide graphical and/or textual displays and reporting of logical and/or physical zone and zone alias information for SAN objects to users or administrators of a SAN. SAN objects may include any logically or physically zonable SAN component. Embodiments may graphically and/or textually present logical and/or physical zoning information for any SAN object via real-time displays and/or reporting in response to selecting the object. All of the zones, and zone aliases, if any, of which a SAN object is a logical and/or physical member may be determined and displayed, along with other relevant information including the mechanisms by which the SAN object is logically zoned. Embodiments may provide mechanisms through which a user may navigate through the displayed zoning information to view zoning information for other SAN objects and/or zone-centric information for the zones and zone aliases.