Abstract: Inhibitors of ubiquitin specific protease 19 (USP19) of Formula (I) are provided, together with pharmaceutical compositions comprising said inhibitors, and methods of use thereof. The compounds can be used in in the treatment of muscular atrophy, obesity, insulin resistance or type II diabetes or in reducing the loss of muscle mass.

Abstract: Various exemplary drug delivery devices with multiple drug vials, drug products utilizing the same, and methods of using drug delivery devices with multiple drug vials are provided. In general, a nasal drug delivery device configured to dispense a drug therefrom into a nose and includes two or more vials each containing the drug therein. The drug delivery device is configured to deliver the drug from each of the vials for a total of two or more sprays into the nose. The same drug delivery device may therefore deliver multiple drug sprays to a user. In some embodiments, instead of including two or more vials that collectively contain enough drug therein for more than two drug sprays, the drug delivery device can include a single vial that contains enough drug therein for more than two drug sprays.

Abstract: Technologies for interruptibility analysis and notification are disclosed. In at least one illustrative embodiment, a method may comprise generating a live data stream including activity data received from one or more sensors associated with a worker, repeatedly generating an interruptibility status of the worker as a function of the activity data in the live data stream over a recent time period, and transmitting a signal that causes one of a plurality of status indicators to be displayed, the displayed status indicator corresponding to the current interruptibility status of the worker.

Abstract: The technology relates to a method of producing a moulded polyurethane hydrogel, for example a condom. The method involves forming a solution of at least one polyurethane having a molecular weight of between about 40000 to about 500000 in a water:organic polar solvent comprising less than about 40% (v/v) water; applying a layer of the solution to a mould; drying the layer of the first solution to form a polyurethane film on the mould; and contacting the polyurethane film with a swelling agent under conditions such that the film forms a polyurethane hydrogel with a swelling agent content of between about 1% to about 95%.

Abstract: An apparatus comprises a processing device configured to obtain first parameters characterizing an operating state of information technology (IT) resources of a data center and second parameters characterizing an operating state of cooling systems of the data center, to determine an overall operating state of the data center by aggregating the first and second parameters, to identify a power consumption profile based on the overall operating state, and to perform a joint training of first and second reinforcement learning agents based on the overall operating state and the power consumption profile. The processing device is also configured to generate first controls for the heterogeneous IT resources utilizing the first reinforcement learning agent and second controls for the cooling systems utilizing the second reinforcement learning agent, the first and second controls being configured to reduce power consumption while maintaining specified performance benchmarks for workloads executing in the data center.

Abstract: Provided are USP19 inhibitors, methods of treating obesity, metabolic syndrome and/or diabetes using the USP19 inhibitor compounds, as well as those compounds for use in methods of treating obesity, metabolic syndrome and/or diabetes. Also provided are methods of treating muscular atrophy, for example cachexia or sarcopenia with USP19 inhibitor compounds, plus those a compounds for use in methods of treating muscular atrophy.

Abstract: An apparatus comprises a processing device configured to obtain first parameters characterizing an operating state of information technology (IT) resources of a data center and second parameters characterizing an operating state of cooling systems of the data center, to determine an overall operating state of the data center by aggregating the first and second parameters, to identify a power consumption profile based on the overall operating state, and to perform a joint training of first and second reinforcement learning agents based on the overall operating state and the power consumption profile. The processing device is also configured to generate first controls for the heterogeneous IT resources utilizing the first reinforcement learning agent and second controls for the cooling systems utilizing the second reinforcement learning agent, the first and second controls being configured to reduce power consumption while maintaining specified performance benchmarks for workloads executing in the data center.

Abstract: Inhibitors of ubiquitin specific protease 19 (USP19) of Formula (I) are provided, together with pharmaceutical compositions comprising said inhibitors, and methods of use thereof. The compounds can be used in in the treatment of muscular atrophy, obesity, insulin resistance or type II diabetes or in reducing the loss of muscle mass.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: Technologies for interruptibility analysis and notification are disclosed. In at least one illustrative embodiment, a method may comprise generating a live data stream including activity data received from one or more sensors associated with a worker, repeatedly generating an interruptibility status of the worker as a function of the activity data in the live data stream over a recent time period, and transmitting a signal that causes one of a plurality of status indicators to be displayed, the displayed status indicator corresponding to the current interruptibility status of the worker.

Abstract: Systems and methods are provided for determining performance capacity. One such system includes a wearable device having a biosensor that measures biometrics and a motion sensor that monitors activity. The system also includes a processor coupled to the biosensor and the motion sensor, and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. The instructions are executed to cause the processor to generate biometric data from the biometrics and activity data from the activity. Further, the instructions are executed to create a response profile based on one or more of a heart rate variability (HRV) score based on the biometric data, a fatigue score based on the activity data, a predicted HRV score based on the biometric and activity data, and a predicted fatigue score based on the biometric data and/or the activity data.

Abstract: Systems, methods, and devices are provided for determining an exertion recommendation for an anticipated exercise session. One such system includes a wearable device comprising a biosensor that monitors biometrics (e.g. heart rate); a motion sensor that monitors activity; a processor operatively coupled to the biosensor, the processor configured to process electronic signals periodically generated by the biosensor and the motion sensor; and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. In particular, the instructions are executed to cause the processor to generate biometric data from the biometrics (e.g. heart rate information in particular). Further, the instructions are executed to generate an exertion recommendation based on an exertion model created from and representing a relationship between prior exertion measures and prior response profile measures.

Abstract: Systems, methods, and devices are provided for determining an exercise program recommendation for an anticipated exercise session. One such system includes a wearable device comprising a biosensor that monitors biometrics (e.g. heart rate); a motion sensor that monitors activity; a processor operatively coupled to the biosensor, the processor configured to process electronic signals periodically generated by the biosensor and the motion sensor; and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. In particular, the instructions are executed to cause the processor to generate biometric data from the biometrics (e.g. heart rate information in particular).

Abstract: Systems and methods are provided for using earphones with biometric sensors to identify and present information regarding performance periods. Fatigue level associated with fatigue experienced in response to a stimulus and recovery from such fatigue may be determined based on heart rate variability (HRV) data and learned user characteristics. One or more cycles of fatigue and recovery can be identified as a fitness cycle(s), each fitness cycle encompassing a period of time beginning with the stimulus associated with the fitness-related activity and progressing through recovery from the fatigue experienced in response to the stimulus associated with the fitness-related activity. A performance period may be predicted based on a pre-determined fatigue/recovery level instance within a fitness cycle.

Abstract: Systems and methods for identifying and presenting information regarding performance periods are provided. Fatigue level associated with fatigue experienced in response to a stimulus and recovery from such fatigue may be determined based on heart rate variability (HRV) data and learned user characteristics. One or more cycles of fatigue and recovery can be identified as a fitness cycle(s), each fitness cycle encompassing a period of time beginning with the stimulus associated with the fitness-related activity and progressing through recovery from the fatigue experienced in response to the stimulus associated with the fitness-related activity. A performance period may be predicted based on a pre-determined fatigue/recovery level instance within a fitness cycle.

Abstract: A system for identifying fatigue sources includes a processor and at least one computer program residing on the processor. The computer program is stored on a non-transitory computer readable medium having computer executable code embodied thereon. The computer executable code is configured to detect a fatigue level. The computer executable code is further configured to receive fatigue contribution data. In addition, the computer executable code is configured to identify a fatigue source based on the fatigue level and the fatigue contribution data.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: Systems, methods, and devices are provided for determining an exertion recommendation for an anticipated exercise session. One such system includes a wearable device comprising a biosensor that monitors biometrics (e.g. heart rate); a motion sensor that monitors activity; a processor operatively coupled to the biosensor, the processor configured to process electronic signals periodically generated by the biosensor and the motion sensor; and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. In particular, the instructions are executed to cause the processor to generate biometric data from the biometrics (e.g. heart rate information in particular). Further, the instructions are executed to generate an exertion recommendation based on an exertion model created from and representing a relationship between prior exertion measures and prior response profile measures.

Abstract: Systems, methods, and devices are provided for determining an exercise program recommendation for an anticipated exercise session. One such system includes a wearable device comprising a biosensor that monitors biometrics (e.g. heart rate); a motion sensor that monitors activity; a processor operatively coupled to the biosensor, the processor configured to process electronic signals periodically generated by the biosensor and the motion sensor; and a non-transitory computer-readable medium operatively coupled to the processor and storing instructions that, when executed, cause the processor to execute specific functions. In particular, the instructions are executed to cause the processor to generate biometric data from the biometrics (e.g. heart rate information in particular).

Abstract: A system generates an automated survey and causes a user interface of an electronic device to present survey to a patient, so that the system can use the survey responses to identify and provide wellness or disease management content items that are tailored to the patient's behavioral needs. The system automatically generates an electronic survey document with data entry fields that each correspond to a question for a category of behavioral influence. The document includes fillable fields as presented on a user interface. When the system receives data via the fillable fields as presented on the user interface of the electronic device, it will assign a value to each response, construct a patient model, and it will use the patient model to extract intervention content items and provide the patient with those items.