Abstract: A process of sequestering CO2 is generally described. The process involves the use of geopolymeric precursors to which the CO2 is added. The process for a solid, cementitious material comprising geopolymer(s) and CO2.

Abstract: A method for analyzing data using a blockchain, a data provider and a data customer therefor are disclosed. The method analyzing data using a blockchain is provided wherein a plurality of data sets is stored and processed in a data storage in a distributed manner using a cluster of nodes. The method comprises steps of deploying a smart contract to the blockchain according to a request from a data customer, receiving a request for executing code for data sets selected by a data customer, estimating an amount of token required for executing the code for the selected data sets in the data storage, and controlling, in said distributed manner using the cluster of nodes, execution of the code for the selected data sets based on the balance amount of token while the balance amount of token is greater than the estimated amount of token. The request for executing code includes code to be executed and a balance amount of token which the data customer currently has.

Abstract: A technology is presented for controlling the distribution of a data item. A data set is stored at a data storage (16) and comprises a first file identifier and a first encrypted data item generated by an encryption using a first public key. A blockchain comprises the first file identifier paired with a first recipient identifier identifying one or more allowed first recipients, each having the first recipient identifier and a first private key matching the first public key. The method is performed by a second terminal (12) being an allowed first recipient and the method comprises: identifying (102) the first file identifier in the blockchain using the first recipient identifier, sending (106) a request containing the first file identifier to the data storage (16) for downloading of the first encrypted data item, receiving (116) the first encrypted data item from the data storage (16), and decrypting (118) the first encrypted data item using the first private key.

Abstract: The present disclosure relates to a method and attention neural network for automatically learning embeddings for various latent aspects of textual claims and documents performed in an attention neural network comprising one or more latent aspect models for guiding an attention mechanism of the neural network, wherein the method comprises the steps of inserting a claim document pair, in each of the latent aspect models and a latent aspect vector to select significant sentences to form document representations for each respective latent aspect of the latent aspect vector, concatenating the document representations to establish an overall document representation, calculating a class probability distribution by means of the overall document representation, and classifying the claim of document as true or false using the class probability distribution.