Abstract: Systems and methods are disclosed for tracking, via a blockchain registry, carbon credits in goods produced from materials with sequestered carbon. Materials with sequestered carbon may be produced by reacting greenhouse gases with air and other reagents and catalysts (including biological organisms). Following production of a batch of material with sequestered carbon, a blockchain entry may be recorded with production details and details of carbon-credits earned during production. The carbon-sequestering material may later be converted into products, each of which may have a unique product identifier. A blockchain entry may be recorded with the unique product identifiers such that an owner of a unit of product can obtain, from the blockchain registry, a verified amount of carbon-credit associated with that unit.

Abstract: An energy storage system and energy storage module for providing electrical energy to a generator start energy system or other electrically driven system. One or more ultracapacitors are included within the energy storage module for storing and providing electrical charge via a two-post electrical connection of the energy storage module. A mountable housing of the energy storage module provides a variety of mounting orientations within a compartment of the generator start energy system or other electrically driven system.

Abstract: Systems and methods for identifying patterns in blockchain activities based on multi-modal data using artificial intelligence models that compensate for training data featuring a high proportion of missing data points. For example, the system may receive blockchain activity record data for a plurality of blockchain activities involving a plurality of blockchain accounts. The system may input the data into an artificial intelligence model, wherein the artificial intelligence model is trained to identify serial relationships of related blockchain activities corresponding to inputted target blockchain activities based on proportions of digital assets at subsets of blockchain accounts of the plurality of blockchain accounts. The system may receive an output from the artificial intelligence model. The system may generate for display, in a user interface, a visualization of the target blockchain activity based on the output.

Abstract: Systems and methods for identifying patterns in blockchain activities based on multi-modal data using artificial intelligence models that compensate for training data featuring a high proportion of missing data points. For example, the system may receive blockchain activity record data for a plurality of blockchain activities involving a plurality of blockchain accounts. The system may input the data into an artificial intelligence model, wherein the artificial intelligence model is trained to identify serial relationships of related blockchain activities corresponding to inputted target blockchain activities based on proportions of digital assets at subsets of blockchain accounts of the plurality of blockchain accounts. The system may receive an output from the artificial intelligence model. The system may generate for display, in a user interface, a visualization of the target blockchain activity based on the output.

Abstract: Systems and methods are disclosed for tracking, via a blockchain registry, carbon credits in goods produced from materials with sequestered carbon. Materials with sequestered carbon may be produced by reacting greenhouse gases with air and other reagents and catalysts (including biological organisms). Following production of a batch of material with sequestered carbon, a blockchain entry may be recorded with production details and details of carbon-credits earned during production. The carbon-sequestering material may later be converted into products, each of which may have a unique product identifier. A blockchain entry may be recorded with the unique product identifiers such that an owner of a unit of product can obtain, from the blockchain registry, a verified amount of carbon-credit associated with that unit.

Abstract: Systems and methods for identifying patterns in blockchain activities based on multi-modal data using artificial intelligence models that compensate for training data featuring a high proportion of missing data points. For example, the system may receive blockchain activity record data for a plurality of blockchain activities involving a plurality of blockchain accounts. The system may input the data into an artificial intelligence model, wherein the artificial intelligence model is trained to identify serial relationships of related blockchain activities corresponding to inputted target blockchain activities based on proportions of digital assets at subsets of blockchain accounts of the plurality of blockchain accounts. The system may receive an output from the artificial intelligence model. The system may generate for display, in a user interface, a visualization of the target blockchain activity based on the output.

Abstract: Materials containing picocrystalline quantum dots that form artificial atoms are disclosed. The picocrystalline quantum dots (in the form of born icosahedra with a nearly-symmetrical nuclear configuration) can replace corner silicon atoms in a structure that demonstrates both short range and long-range order as determined by x-ray diffraction of actual samples. A novel class of boron-rich compositions that self-assemble from boron, silicon, hydrogen and, optionally, oxygen is also disclosed. The preferred stoichiometric range for the compositions is (B12Hw)xSiyOz with 3?w?5, 2?x?4, 2?y?5 and 0?z?3. By varying oxygen content and the presence or absence of a significant impurity such as gold, unique electrical devices can be constructed that improve upon and are compatible with current semiconductor technology.

Abstract: Various articles and devices can be manufactured to take advantage of a what is believed to be a novel thermodynamic cycle in which spontaneity is due to an intrinsic entropy equilibration. The novel thermodynamic cycle exploits the quantum phase transition between quantum thermalization and quantum localization. Preferred devices include a phonovoltaic cell, a rectifier and a conductor for use in an integrated circuit.

Abstract: Systems and methods are provided for event detection. One embodiment includes an interface that acquires logs, and a controller that is able to identify events recited in the logs, to include the events within a list sorted based on at least one of start times or end times indicated by the timing data, and to determine a longest duration of the events. The controller receives a requested time, calculates a prior time separated by the longest duration from the requested time, and processes the list by: identifying a first index of the list for a first event in time having a start time on or after the prior time, and identifying a last index of the list for a last event in time having a start time on or before the requested time. The controller generates a set of events bounded by the first index and the last index.

Abstract: Materials containing picocrystalline quantum dots that form artificial atoms are disclosed. The picocrystalline quantum dots (in the form of born icosahedra with a nearly-symmetrical nuclear configuration) can replace corner silicon atoms in a structure that demonstrates both short range and long-range order as determined by x-ray diffraction of actual samples. A novel class of boron-rich compositions that self-assemble from boron, silicon, hydrogen and, optionally, oxygen is also disclosed. The preferred stoichiometric range for the compositions is (B12Hw)xSiyOz with 3?w?5, 2?x?4, 2?y?5 and 0?z?3. By varying oxygen content and the presence or absence of a significant impurity such as gold, unique electrical devices can be constructed that improve upon and are compatible with current semiconductor technology.