Abstract: An apparatus and method for detecting a level of cardiovascular disease. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to: receive a plurality of voltage-time data, generate at least a feature vector from the voltage-time data by at least a feature model, input the at least feature vector into a cardiovascular classification model, generate at least a disease indication in a subject using the classification model, wherein the disease indication comprises a level of myocarditis, and display the at least a disease indication.

Abstract: A method of treating a microbial infection in a subject comprises administering to a subject in need thereof an effective amount of a composition comprising mycolactone (MLN). A method of preventing a microbial infection in a subject comprises administering to a subject in need thereof an effective amount of a composition comprising mycolactone (MLN).

Abstract: A dynamic code generation process with configurable connections and variables for extraction, transformation, and load (ETL) processing and validation is disclosed. A code generator loads an input requirement document and a configuration file, and generates workflows, database objects, and parameters. Database code is deployed in a database, ETL code is deployed in an ETL repository, and server code is deployed in an ETL server. A code validator reads the ETL code from the ETL repository and the database code from the database, and performs in-built stage unit testing. The code validator performs a quality check, metadata validation, definition comparisons, and outputs validation results.

Abstract: Disclosed herein are compounds of Formula (I): and pharmaceutically acceptable salts thereof, related pharmaceutical compositions, and methods for using the same to treat parasitic diseases.

Abstract: A method for determining a proximity of at least one object using an electronic device is provided. The method includes obtaining hover data from a touch panel of the electronic device. Further, the method includes determining at least one of a first hover or a second hover based on the hover data of the at least one object obtained for the touch panel. Further, the method includes determining the proximity of the at least one object to the touch panel of the electronic device based on at least one of the first hover or the second hover.

Abstract: Disclosed herein are compounds of Formula (1): and pharmaceutically acceptable salt thereof, related pharmaceutical compositions, and methods for using the same to treat parasitic diseases.

Abstract: A method for automatically providing key moments in a multimedia content on an electronic device and an electronic device therefor are provided. The method includes determining a navigation behavior of each user of the multimedia content during playback, determining a plurality of key moments in the multimedia content based on the navigational behavior, the plurality of key moments including a positive key moment, a negative key moment, and a neutral key moment, storing the plurality of key moments, detecting a playback event of the multimedia content by a candidate user, retrieving at least one key moment from the plurality of key moments in the multimedia content based on the candidate user, and displaying an actionable user interface including the at least one key moment.

Abstract: A method for determining a proximity of at least one object using an electronic device is provided. The method includes obtaining hover data from a touch panel of the electronic device. Further, the method includes determining at least one of a first hover or a second hover based on the hover data of the at least one object obtained for the touch panel. Further, the method includes determining the proximity of the at least one object to the touch panel of the electronic device based on at least one of the first hover or the second hover.

Abstract: An online system that recommends content to a user obtains a content item and receives limited interaction with the content item when it is obtained. The online system also maintains embeddings for various users based on interactions by the users with content presented to the users. Viewing users to whom the content item is presented and who performed one or more interactions with the content item are identified. Based on embeddings for the viewing users, the online system generates a content embedding for the content item. When the online system identifies a candidate user, the online system determines a similarity between the content embedding and an embedding of the viewing user and determines whether to recommend the content item to the candidate user based on the comparison.

Abstract: A method for automatically providing key moments in a multimedia content on an electronic device and an electronic device therefor are provided. The method includes determining a navigation behavior of each user of the multimedia content during playback, determining a plurality of key moments in the multimedia content based on the navigational behavior, the plurality of key moments including a positive key moment, a negative key moment, and a neutral key moment, storing the plurality of key moments, detecting a playback event of the multimedia content by a candidate user, retrieving at least one key moment from the plurality of key moments in the multimedia content based on the candidate user, and displaying an actionable user interface including the at least one key moment.

Abstract: An online system generates personalized video heat map for a target user, which visually indicates segments of a video likely to be of interest to the target user. The online system divides the video into the segments and identifies actions performed by users other than the target user on each of the segments. The online system determines embedding vectors describing each segment as represented by the identified actions performed on the segment and also determines an embedding vector describing the target user. Based on those embedding vectors, a personalized score for the segment is determined using a trained model. The online system uses the personalized score for each segment of the video to generate the personalized heat map. The personalized heat map can be provided to the target user along with the video.

Abstract: An online system that recommends content to a user obtains a content item and receives limited interaction with the content item when it is obtained. The online system also maintains embeddings for various users based on interactions by the users with content presented to the users. Viewing users to whom the content item is presented and who performed one or more interactions with the content item are identified. Based on embeddings for the viewing users, the online system generates a content embedding for the content item. When the online system identifies a candidate user, the online system determines a similarity between the content embedding and an embedding of the viewing user and determines whether to recommend the content item to the candidate user based on the comparison.

Abstract: An online system generates personalized video heat map for a target user, which visually indicates segments of a video likely to be of interest to the target user. The online system divides the video into the segments and identifies actions performed by users other than the target user on each of the segments. The online system determines embedding vectors describing each segment as represented by the identified actions performed on the segment and also determines an embedding vector describing the target user. Based on those embedding vectors, a personalized score for the segment is determined using a trained model. The online system uses the personalized score for each segment of the video to generate the personalized heat map. The personalized heat map can be provided to the target user along with the video.