Abstract: A method and system for secure storage of digital data offers enhanced resistance to threat actors (whether insiders or hackers) gaining unauthorised access to extract and manipulate data, and to brute force computational attacks. The method employs double randomised fragmentation of source data into a random number of fragments of random sizes, encryption of each fragment with a separate encryption key, storage of the encrypted fragments and keys and a catalogue of the mappings of locations and fragments to keys all in physically and logically separate locations in a secure storage estate (1). The method may be repeatedly applied to encrypted fragments, keys and catalogue in a cascade fragmentation process to add further levels of security.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.

Abstract: A living website is provided that autonomously and dynamically changes presentation based on engagement from users, business members, distributed devices, and, optionally, individual user preferences. The living website presentation changes with the promotion and demotion of website elements through repositioning, visual differentiation, and other means. These changes are produced by a machine rewriting of the living website code that is conditioned on the continually tracked engagement. In particular, the tracked engagement identifies the website elements that are most engaging at that time. The living website then adapts in order to presents users with this most engaging content in a manner that is immediately apparent and before them. Consequently, users spend less time searching, scrolling, or otherwise browsing a website in order to find content that is engaging and of interest to them, and more time interacting with the engaging content that is already before them.

Abstract: A method and system for secure storage of digital data offers enhanced resistance to threat actors (whether insiders or hackers) gaining unauthorised access to extract and manipulate data, and to brute force computational attacks. The method employs double randomised fragmentation of source data into a random number of fragments of random sizes, encryption of each fragment with a separate encryption key, storage of the encrypted fragments and keys and a catalogue of the mappings of locations and fragments to keys all in physically and logically separate locations in a secure storage estate (1). The method may be repeatedly applied to encrypted fragments, keys and catalogue in a cascade fragmentation process to add further levels of security.

Abstract: A living website is provided that autonomously and dynamically changes presentation based on engagement from users, business members, distributed devices, and, optionally, individual user preferences. The living website presentation changes with the promotion and demotion of website elements through repositioning, visual differentiation, and other means. These changes are produced by a machine rewriting of the living website code that is conditioned on the continually tracked engagement. In particular, the tracked engagement identifies the website elements that are most engaging at that time. The living website then adapts in order to presents users with this most engaging content in a manner that is immediately apparent and before them. Consequently, users spend less time searching, scrolling, or otherwise browsing a website in order to find content that is engaging and of interest to them, and more time interacting with the engaging content that is already before them.

Abstract: An article is provided for stabilizing a stack of gaming chips which includes: a circular base having a top surface, a bottom surface and a circumferential skirt joining the top and bottom surfaces, the skirt having a width ranging from 0.25 to 1.2 cm, the base having a diameter ranging from 2.5 to 5 cm; and a sculpture attached to the top surface of the base, the sculpture and base together ranging in height from 2 to 8 cm; the article having a weight of from 30 to 150 grams.

Abstract: Plier-like grommet-setting tool has integral pyramidal punch and annular fabric cutter on one jaw and turntable on opposite jaw. Turntable presents two zones, one for cutting a hole in the fabric with the use of the cutter, and the other for setting the grommet eyelet with the use of the punch. Turntable may be readily shifted to present the proper zone under the punch. The tool is especially adapted for setting heavy-duty eyelets and grommets.