Abstract: Disclosed are data storage systems and methods of an enforceable non-fungible token having linked custodial chain of property transfers prior to minting using a token-based encryption determination process. In one embodiment, computing system comprising one or more hardware processors programmed to access a set of data tokens derived from a plurality of files comprising a set of property assignment files, at least some of the set of data tokens comprising content designated as digital information associated the set of property assignment files, each of the data tokens comprising transfer of rights associated with an asset identified from at least one of a portion of content of at least one file from the plurality of files and the set of property assignment files themselves. And then merge a set of aggregated data tokens including property right transfers into an enforceable non-fungible token.

Abstract: A dataset management system (“system”) reduces the amount of data to be stored for future analyses. The system determines a sampling rate of the data based on a required level of accuracy, and samples the data at the determined sampling rate. Initially, all data transactions (“full dataset”) and the sampled data (“sampled dataset”) are logged and stored. Based upon a trigger condition, e.g., after a specified period, the full dataset and the sampled dataset are analyzed separately and the analysis results are compared. If the comparison is sufficiently similar (i.e., the sampling produces a sufficiently accurate set of data or a variance between the analysis results of the datasets is within a specified threshold), the system discontinues full data logging and stores only the sampled dataset. Further, the full dataset is deleted. The sampling thus reduces the required data volume significantly, thereby minimizing consumption of the storage space.

Abstract: A dataset management system (“system”) reduces the amount of data to be stored for future analyses. The system determines a sampling rate of the data based on a required level of accuracy, and samples the data at the determined sampling rate. Initially, all data transactions (“full dataset”) and the sampled data (“sampled dataset”) are logged and stored. Based upon a trigger condition, e.g., after a specified period, the full dataset and the sampled dataset are analyzed separately and the analysis results are compared. If the comparison is sufficiently similar (i.e., the sampling produces a sufficiently accurate set of data or a variance between the analysis results of the datasets is within a specified threshold), the system discontinues full data logging and stores only the sampled dataset. Further, the full dataset is deleted. The sampling thus reduces the required data volume significantly, thereby minimizing consumption of the storage space.

Abstract: In a method for making a wrought nickel-chromium-molybdenum alloy having homogeneous, two-phase microstructures the alloy in ingot form is subjected to a homogenization treatment at a temperature between 2025° F. and 2100° F., and then hot worked at start temperature between 2025° F. and 2100° F. The alloy preferably contains 18.47 to 20.78 wt. % chromium, 19.24 to 20.87 wt. % molybdenum, 0.08 to 0.62 wt. % aluminum, less than 0.76 wt. % manganese, less than 2.10 wt. % iron, less than 0.56 wt. % copper, less than 0.14 wt. % silicon, up to 0.17 wt. % titanium, less than 0.013 wt. % carbon, and the balance nickel.

Abstract: In a method for making a wrought nickel-chromium-molybdenum alloy having homogeneous, two-phase microstructures the alloy in ingot form is subjected to a homogenization treatment at a temperature between 2025° F. and 2100° F. , and then hot worked at start temperature between 2025° F. and 2100° F. The alloy preferably contains 18.47 to 20.78 wt. % chromium, 19.24 to 20.87 wt. % molybdenum, 0.08 to 0.62 wt. % aluminum, less than 0.76 wt. % manganese, less than 2.10 wt. % iron, less than 0.56 wt. % copper, less than 0.14 wt. % silicon, up to 0.17 wt. % titanium, less than 0.013 wt. % carbon, and the balance nickel.

Abstract: Systems and methods for recovery based social networking are presented. Users of the social network platform can select different groups of individuals that have access to different portions of the content that the user generates through the social networking platform. Private health information can be maintained separately from information generated by the user through the social networking platform. Healthcare professionals can access both private and user generated information in order to support the user's recovery.

Abstract: Systems and methods for recovery based social networking are presented. Users of the social network platform can select different goals that are tracked via the social networking platform. In addition, healthcare professionals and supporters can make goals for users that are similarly tracked. Individualized discharge plans can be created for users to track and support recovery on an individualized basis. Location based services can be used to verify completion of goals and the discharge plan.

Abstract: Systems and methods for recovery based social networking are presented. An analysis module analyzes past and current activity of users on the social networking platform. The analysis module predicts, based on user activity, when particular users will need support from user identified supporters and healthcare professionals. The analysis module sends alert messages to the pre-determined supporters and healthcare professionals soliciting support responsive to the predictions.

Abstract: Systems and methods for recovery based social networking are presented. Users of the social network platform are presented with selectable status indicators relating to their recovery. The selected indicators are shared with user selected supporters and health care professionals so that the supporters and healthcare professionals can support recovery. Automated analysis of the users' interactions with the social networking is also performed to predict when users will need additional support so that the supporters and healthcare professionals can be notified.

Abstract: Electrical conductor coated with a corona-resistant, multilayer insulation system comprising first, second, and third insulation layers. The first insulation layer is disposed peripherally around the electrical conductor, the second layer is disposed peripherally around the first layer, and the third layer is disposed peripherally around the second layer. The second layer is sandwiched between the first and second layers and comprises 10 to 50 parts by weight of alumina particles dispersed in 100 parts by weight of a polymeric binder.

Abstract: Electrical conductor coated with a corona-resistant, multilayer insulation system comprising first, second, and third insulation layers. The first insulation layer is disposed peripherally around the electrical conductor, the second layer is disposed peripherally around the first layer, and the third layer is disposed peripherally around the second layer. The second layer is sandwiched between the first and second layers and comprises 10 to 50 parts by weight of alumina particles dispersed in 100 parts by weight of a polymeric binder.

Abstract: Electrical conductor coated with a corona-resistant, multilayer insulation system comprising first, second, and third insulation layers. The first insulation layer is disposed peripherally around the electrical conductor, the second layer is disposed peripherally around the first layer, and the third layer is disposed peripherally around the second layer. The second layer is sandwiched between the first and third layers and comprises 10 to 50 parts by weight of alumina particles dispersed in 100 parts by weight of a polymeric binder.