A system for embedding users' preferences and behaviors based on interactions with an array of devices.

Aspects of the technology described herein leverage usage data of content items to facilitate returning search results relevant to a user's intent. A search engine enables a user to select from one of three filter options: a first filter option for the user's own content items, a second filter option for content items previously accessed by the user, and a third filter option for content items new to the user. In response to selection of one of the filter options, the search engine identifies and returns search results based at least in part on correspondence between usage data for content items and the selected filter option. In some aspects, the search engine may automatically select one of the filter options based on search context and provide the selected filter option as a filter suggestion.

Systems and methods of assessing significance of metabolites in diseases are provided. A multi-omics downstream analysis pipeline can represent lung microbiome ecology as a heterogeneous network of microbes and metabolites. Such an analysis can demonstrate the significance of a particular metabolite in the microbiome of a patient (e.g., a human patient).

Systems and methods of assessing significance of metabolites in diseases are provided. A multi-omics downstream analysis pipeline can represent lung microbiome ecology as a heterogeneous network of microbes and metabolites. Such an analysis can demonstrate the significance of a particular metabolite in the microbiome of a patient (e.g., a human patient).

A computer-implemented method for generating optimized search results is disclosed. The computer-implemented method includes receiving a search input from a user, wherein the search input includes a search query and additional search criteria. The computer-implemented method further includes generating a search query pattern based, at least in part, on the search input. The computer-implemented method further includes determining an initial set of search results based on the search query pattern. The computer-implemented method further includes filtering the initial set of search results to determine a filtered subset of search results from the initial set of search results.

A computer-implemented method for generating optimized search results is disclosed. The computer-implemented method includes receiving a search input from a user, wherein the search input includes a search query and additional search criteria. The computer-implemented method further includes generating a search query pattern based, at least in part, on the search input. The computer-implemented method further includes determining an initial set of search results based on the search query pattern. The computer-implemented method further includes filtering the initial set of search results to determine a filtered subset of search results from the initial set of search results.

Disclosed are a collision check data processing method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring generated collision check data, and acquiring an ID number of a collision part according to the collision check data; then acquiring ID numbers corresponding to selected designated parts from a preset database; and determining a target part under collision according to the ID numbers corresponding to the designated parts and the ID number of the collision part. According to the disclosure, a target part under collision can be determined among large amounts of collision check data according to an ID number corresponding to a designated part and an ID number of a collision part. That is, according to the disclosure, a single item among the collision check data can be checked according to a user requirement, thereby improving the check efficiency effectively.

Disclosed are a collision check data processing method and apparatus, an electronic device, and a storage medium. The method comprises: acquiring generated collision check data, and acquiring an ID number of a collision part according to the collision check data; then acquiring ID numbers corresponding to selected designated parts from a preset database; and determining a target part under collision according to the ID numbers corresponding to the designated parts and the ID number of the collision part. According to the disclosure, a target part under collision can be determined among large amounts of collision check data according to an ID number corresponding to a designated part and an ID number of a collision part. That is, according to the disclosure, a single item among the collision check data can be checked according to a user requirement, thereby improving the check efficiency effectively.

Disclosed are methods, systems, and non-transitory computer-readable medium for automatic cross-checking of an electronic checklist. One method may include: receiving a first user and/or system input associated with a graphical user interface (GUI) of the electronic checklist; determining whether the first user and/or system input triggers an error; in response to determining that the first user and/or system input triggers the error, displaying an error message on the GUI; receiving a second user and/or system input; determining whether the second user and/or system input resolves the error; and in response to determining the second user and/or system input resolves the error, removing the error message from the GUI.

Disclosed are methods, systems, and non-transitory computer-readable medium for automatic cross-checking of an electronic checklist. One method may include: receiving a first user and/or system input associated with a graphical user interface (GUI) of the electronic checklist; determining whether the first user and/or system input triggers an error; in response to determining that the first user and/or system input triggers the error, displaying an error message on the GUI; receiving a second user and/or system input; determining whether the second user and/or system input resolves the error; and in response to determining the second user and/or system input resolves the error, removing the error message from the GUI.