Abstract: Systems and methods are disclosed for scheduling appointments based on changing health conditions of users. The method includes inputting the initial health dataset of a user to a machine learning model configured to identify other users with similar health profiles. A frequency of monitoring, a frequency of appointments, a duration between the appointments, or a type and length of the appointments is determined to generate a schedule of appointments. A subsequent health dataset of the user is received, and health scores, rule scores, or medication scores for the user are determined based on the subsequent health dataset. A plurality of risk scores for the user is evaluated based on the health scores, rule scores, or medication scores. A recent risk score is determined based on a change in the plurality of risk scores. The schedule of appointments is adjusted based on the recent risk score and the user is notified.

Abstract: A battery charging system for a hybrid electric vehicle includes: a battery, a battery management system, and a support unit. The support unit includes an electronic control unit provided with a predefined motor speed constant (S) and a predefined state of charge value (SoC). The electronic control unit receives a real-time motor speed (SRT) from one or more sensing units and a real-time state of charge value (SoCRT) for the battery from the battery management system. The electronic control unit generates one of a first activation signal and a second activation signal based on one of the real-time motor speed (SRT) and the real-time state of charge value (SoCRT) of the battery. The battery management system initiates a voltage source inverter charging mode upon generation of the first activation signal and a boost converter charging mode upon generation of the second activation signal.

Abstract: There is a need for solutions for more effective and efficient natural language processing systems. This need can be addressed, for example, by a system configured to obtain a term correlation data object for a plurality of digital documents; determine, based at least in part on the term correlation data object, a term-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-sentiment correlation data object for the plurality of digital documents; generate the topic detection based at least in part on the document-topic correlation object; and generate the sentiment detection based at least in part on the document-sentiment correlation object.

Abstract: There is a need for solutions for more effective and efficient natural language processing systems. This need can be addressed, for example, by a system configured to obtain a term correlation data object for a plurality of digital documents; determine, based at least in part on the term correlation data object, a term-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-topic correlation data object for the plurality of digital documents; determine, based at least in part on the term-topic correlation data object, a document-sentiment correlation data object for the plurality of digital documents; generate the topic detection based at least in part on the document-topic correlation object; and generate the sentiment detection based at least in part on the document-sentiment correlation object.

Abstract: A multi-layered cosmetic composition suitable for topical application is provided. The composition comprises an oil layer comprising at least about 5%, by weight of the composition, of natural oil; and an aqueous layer, comprising at least about 0.01%, by weight of the composition, of a polymer selected from the group consisting of a polysaccharide, sodium hyaluronate, or a combination thereof. The multi-layered cosmetic composition is free of surfactant.

Abstract: A multi-layered cosmetic composition suitable for topical application is provided. The composition comprises an oil layer comprising at least about 5%, by weight of the composition, of natural oil; and an aqueous layer, comprising at least about 0.01%, by weight of the composition, of a polymer selected from the group consisting of a polysaccharide, sodium hyaluronate, or a combination thereof. The multi-layered cosmetic composition is free of surfactant.

Abstract: The present invention relates to an oily suspension of atovaquone comprising atovaquone particles and a combination of surfactants having HLB more than 10.

Abstract: The present invention relates to atovaquone particles having d90 value of about 4-15 ?m. It further relates to a pharmaceutical composition comprising said particles.

Abstract: A process for preparing ramipril, and stable pharmaceutical compositions containing ramipril.