Abstract: Methods of sequestering carbon dioxide (CO2) are provided. Aspects of the methods include contacting an aqueous capture liquid, such as an aqueous capture ammonia, with a direct air capture (DAC) generated gaseous source of CO2 under conditions sufficient to produce an aqueous carbonate liquid, such as an aqueous ammonium carbonate. The aqueous carbonate liquid is then combined with a cation source under conditions sufficient to produce a solid CO2 sequestering carbonate. Also provided are systems configured for carrying out the methods.

Abstract: A negative-carbon footprint concrete composition includes CO2-sequestering aggregate that sequesters carbon dioxide (CO2) from a CO2 containing gas and cementitious material. The negative-carbon footprint concrete composition has a negative carbon footprint relative to an ordinary concrete composition.

Abstract: A reduced-carbon footprint concrete composition includes CO2-sequestering aggregate that sequesters carbon dioxide (CO2) from a CO2 containing gas and cementitious material. The reduced-carbon footprint concrete composition has a reduced carbon footprint relative to an ordinary concrete composition.

Abstract: Methods of sequestering carbon dioxide (CO2) are provided. Aspects of the methods include contacting an aqueous capture liquid, such as an aqueous capture ammonia, with a direct air capture (DAC) generated gaseous source of CO2 under conditions sufficient to produce an aqueous carbonate liquid, such as an aqueous ammonium carbonate. The aqueous carbonate liquid is then combined with a cation source under conditions sufficient to produce a solid CO2 sequestering carbonate. Also provided are systems configured for carrying out the methods.

Abstract: A method, implementable in a system coupled to a display device and a network, includes generating in a first region of a screen of the display device a user-interface portion associated with a first electronic destination address. The user-interface portion is configured to receive from a second region of the screen, in response to a command by a user of the system, a first icon representing a data set. In response to the user-interface portion receiving the first icon, a copy of the data set, or the data set itself, is electronically transferred over the network to the first destination address.

Abstract: A causal relationship between two events occurs when a first event meaningfully precedes a second event and is identified by a causality module. The causality module analyzes multiple events to determine whether the events are causally related. Reductions in both required storage space and search operations are obtained by tracing interrelated causal chains of events. Further improvement is achieved by reducing re-computation of wavefront tables through annotating causality chain with information that facilitates determination of validity of a wavefront table.

Abstract: Causal relationships between events in a plurality of interrelated causal chains are maintained in a network event space through the partitioning of the event space into event subspaces. In this manner, events sharing the same event subspace stay constant so long as the partitioned subspace is substantially causally consistent. The causality of events from different neighboring subspaces may be determined through the individual subspace determination on each query event until a joining of shared boundary events is possible.

Abstract: A causal relationship between two events occurs when a first event meaningfully precedes a second event and is identified by a causality module. The causality module analyzes causality of a selected subset of significant events of multiple events using efficient filtered causal graph edge detection in a causal wavefront environment. In various embodiments, efficient filtered causal graph edge detection includes derivation of an inserted event's maximal predecessor set and minimal successor set. As a resultant, reductions in both required storage space and search operations are achieved.

Abstract: A causal relationship between two events occurs when a first event meaningfully precedes a second event and is identified by a causality module. The causality module analyzes multiple events to determine whether the events are causally related. Reductions in both required storage space and search operations are obtained by tracing interrelated causal chains of events. Further improvement is achieved by reducing re-computation of wavefront tables through annotating causality chain with information that facilitates determination of validity of a wavefront table.

Abstract: Causal relationships between events in a plurality of interrelated causal chains are maintained in a network event space through the partitioning of the event space into event subspaces. In this manner, events sharing the same event subspace stay constant so long as the partitioned subspace is substantially causally consistent. The causality of events from different neighboring subspaces may be determined through the individual subspace determination on each query event until a joining of shared boundary events is possible.

Abstract: A causal relationship between two events occurs when a first event meaningfully precedes a second event and is identified by a causality module. The causality module analyzes multiple network events to determine through an evaluation of available network traffic and predecessor events whether the events are causally related. Reductions in both required storage space and search operations are obtained by tracing interrelated causal chains of network events.