Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, training a machine learning model to associate structured text document vectors with the journals said structured text document were published in; receiving an additional structured text document, converting said additional structured text document into one or more vectors, and processing the additional structured text document through the trained machine learning model to identify an appropriate journal for publication. Systems and computer-readable media implementing the method are also disclosed.

Abstract: A method is disclosed, involving converting at least one structured text document stored in a database into one or more vectors, training a machine learning model to associate the at least one vector with the editors for that structured text document, training a machine learning model to associate the at least one vector with the editors for that structured text document, receiving a second structured text document and converting said second structured text document into one or more vectors, then processing the one or more vectors of the unpublished structured text documents through the trained machine learning model to identify appropriate editor teams, before finally sending the unpublished structured text documents to a computer device associated with an editor.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into one or more vectors, using the vectors of the structured text documents stored in a database to create a similarity search index, then for each structured text document from the database, searching the search index using the one or more vectors of the structured text document in order to generate a list of N other structured text document from the database similar to the structured text document based on said search; an storing each list of N other structured text document from the database similar to the structured text document in a table.

Abstract: A method is disclosed, involving converting each structured text document stored in a database into a vector, building a search index using the one or more vectors of the structured text documents stored in the database, then receiving a new structured text document, converting the structured text document into a vector, then searching the search index using the one or more vectors of the new structured text document, and generating a list of N structured text document from the database similar to the new structured text document based on said search

Abstract: In accordance with certain embodiments, interior spaces are illuminated with a combination of harvested sunlight and artificial light emitted by one or more light-emitting elements.

Abstract: In accordance with certain embodiments, interior spaces are illuminated with a combination of harvested sunlight and artificial light emitted by one or more light-emitting elements.

Abstract: In accordance with certain embodiments, interior spaces are illuminated with a combination of harvested sunlight and artificial light emitted by one or more light-emitting elements.

Abstract: A sound level alarm device sequentially listens to the sound level of an enclosure or area for a first predetermined interval of time, and thereafter does not listen to the sound level of the area for another predetermined interval of time. The circuit sounds an alarm upon detection of a sound level of a predetermined magnitude measured during the first time interval. The circuitry is designed for omitting quick, sharp noises such as a cough, hand clap, book dropping, or the like. The apparatus is advantageously used in class rooms, laboratories, libraries, and play rooms as a teaching aid wherein people with loud noisy habits are electronically assisted in overcoming these undesirable aspects of their life style.