Abstract: A method of exciting an organic salt in a cell is provided. The method includes contacting the cell with a composition including the organic salt, the organic salt having a photoactive ion and a counterion. The cell uptakes the organic salt, the organic salt is substantially free of a coating within the cell, and the organic salt is non-toxic to the cell in the dark. The method also includes exposing the cell to light having a first wavelength, wherein the organic salt absorbs the light having the first wavelength and the photoactive ion becomes excited.

Abstract: A transparent solar panel includes a transparent substrate and a transparent photoactive material. An average photosynthetic transmittance (APT) of the entire transparent solar panel is greater than or equal to about 45%. The transparent solar panel is configured to transmit light to a region containing a plant at a daily light integral (DLI) of greater than or equal to about 10 mol·m?2·d?1. The transparent solar panel may be a transparent photovoltaic (TPV) or a transparent luminescent solar concentrator (TLSC).

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures with a capacity prediction interface. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Observation data may be collected and may include resource metrics data. Prediction rules may be selected as a function of particular resource metrics. A subset of the resources may be identified. The selected prediction rules may be used to predict resource capacities for the subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Incidents may be identified based on the resource capacity predictions. A capacity prediction interface may be generated and may be configured to represent the resource capacity predictions and facilitate preemptive actions with respect to the incidents identified based on the resource capacity predictions.

Abstract: A transparent luminescent solar concentrator (TLSC) is provided. The TLSC includes a luminophore and a waveguide that guides light emitted from the luminophore. The TLSC has a light utilization efficiency (LUE) of greater than or equal to about 1.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Execution of a series of sets of parallel microservices may be caused. Each set may be a function of a particular type of resource data and may facilitate obtaining resource metrics data corresponding to the particular type. The series of sets may facilitate obtaining resource metrics data mapped to the resources provided by the cloud infrastructure system. Prediction rules may be selected as a function of particular resource metrics. The selected prediction rules may be used to predict resource capacities for a subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Preemptive actions with respect to incidents identified based on the resource capacity predictions may be facilitated.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures with a capacity prediction interface. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Observation data may be collected and may include resource metrics data. Prediction rules may be selected as a function of particular resource metrics. A subset of the resources may be identified. The selected prediction rules may be used to predict resource capacities for the subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Incidents may be identified based on the resource capacity predictions. A capacity prediction interface may be generated and may be configured to represent the resource capacity predictions and facilitate preemptive actions with respect to the incidents identified based on the resource capacity predictions.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Execution of a series of sets of parallel microservices may be caused. Each set may be a function of a particular type of resource data and may facilitate obtaining resource metrics data corresponding to the particular type. The series of sets may facilitate obtaining resource metrics data mapped to the resources provided by the cloud infrastructure system. Prediction rules may be selected as a function of particular resource metrics. The selected prediction rules may be used to predict resource capacities for a subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Preemptive actions with respect to incidents identified based on the resource capacity predictions may be facilitated.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate testing within sub-environments with respect to resource capacity data corresponding to resources. Specifications of resource allocations for resources may be collected. Observation data, including resource metrics data, may be consolidated and used to develop resource data composites with mapped resource metrics data. A sub-environment interface may be configured to allow creation of sub-environments based on the resource data composites. Source schemas and data structures corresponding to the resource data composites may be selected. A migration plan to migrate the selected data structures to a destination schema for testing in a sub-environment may be created. A migration according to the migration plan may be executed. The destination schema may be created to match the selected source data structures and the selected source schemas.

Abstract: A method of exciting an organic salt in a cell is provided. The method includes contacting the cell with a composition including the organic salt, the organic salt having a photoactive ion and a counterion. The cell uptakes the organic salt, the organic salt is substantially free of a coating within the cell, and the organic salt is non-toxic to the cell in the dark. The method also includes exposing the cell to light having a first wavelength, wherein the organic salt absorbs the light having the first wavelength and the photoactive ion becomes excited.

Abstract: A continuous analyte monitoring system, includes a continuous analyte monitor, the continuous analyte monitor configured to generate analyte data based on the patient's measured analyte levels, the continuous analyte monitor having a transmitter configured to transmit the analyte data. In some embodiments, the continuous analyte monitoring system is a continuous lactate monitoring system. The system also includes an external transmitter that is configured to receive the lactate data from the transmitter and a computing device connected to the continuous analyte monitor through the external transmitter. The continuous analyte monitoring system is implemented within a distributed diagnostic system that generates customized visual elements for alerts and notifications that are communicated to multiple distributed downstream recipient devices.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures with a capacity prediction interface. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Observation data may be collected and may include resource metrics data. Prediction rules may be selected as a function of particular resource metrics. A subset of the resources may be identified. The selected prediction rules may be used to predict resource capacities for the subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Incidents may be identified based on the resource capacity predictions. A capacity prediction interface may be generated and may be configured to represent the resource capacity predictions and facilitate preemptive actions with respect to the incidents identified based on the resource capacity predictions.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate testing within sub-environments with respect to resource capacity data corresponding to resources. Specifications of resource allocations for resources may be collected. Observation data, including resource metrics data, may be consolidated and used to develop resource data composites with mapped resource metrics data. A sub-environment interface may be configured to allow creation of sub-environments based on the resource data composites. Source schemas and data structures corresponding to the resource data composites may be selected. A migration plan to migrate the selected data structures to a destination schema for testing in a sub-environment may be created. A migration according to the migration plan may be executed. The destination schema may be created to match the selected source data structures and the selected source schemas.

Abstract: Disclosed herein are system, method, and computer program product embodiments to an improved alert and recommendation system for reducing patient readmission via the detection and treatment of patient conditions based on continuous analyte data. The disclosed techniques utilize analyte data, such as lactate, glucose, and creatinine, provided from a continuous analyte sensor to predict patient outcomes and generate recommendations for reducing patient readmission in a hospital and home setting. The disclosed system allows for early and non-invasive prediction of patient outcomes and the subsequent generation of recommended actions to facilitate patient intervention with the goal of reducing readmission of the patient.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate testing within sub-environments with respect to resource capacity data corresponding to resources. Specifications of resource allocations for resources may be collected. Observation data, including resource metrics data, may be consolidated and used to develop resource data composites with mapped resource metrics data. A sub-environment interface may be configured to allow creation of sub-environments based on the resource data composites. Source schemas and data structures corresponding to the resource data composites may be selected. A migration plan to migrate the selected data structures to a destination schema for testing in a sub-environment may be created. A migration according to the migration plan may be executed. The destination schema may be created to match the selected source data structures and the selected source schemas.

Abstract: The present disclosure describes lactate-responsive sensors, sensing systems incorporating a lactate-responsive sensor, and methods of use thereof that would be beneficial for continuously monitoring lactate levels and determining lactate thresholds (both aerobic and anaerobic thresholds). The present disclosure also relates to an analyte sensor for continuously detecting glucose and lactate levels.

Abstract: The present disclosure describes lactate-responsive sensors having first and second lactate-responsive sensing areas, sensing systems incorporating the lactate-responsive sensor, and methods of using the same that for continuously monitoring lactate levels and determining variance between lactate concentrations derived from signals independently obtained from the first and second lactate-responsive areas.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures with a capacity prediction interface. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Observation data may be collected and may include resource metrics data. Prediction rules may be selected as a function of particular resource metrics. A subset of the resources may be identified. The selected prediction rules may be used to predict resource capacities for the subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Incidents may be identified based on the resource capacity predictions. A capacity prediction interface may be generated and may be configured to represent the resource capacity predictions and facilitate preemptive actions with respect to the incidents identified based on the resource capacity predictions.

Abstract: Systems, methods, and non-transitory, machine-readable media may facilitate adaptive resource capacity prediction and control using cloud infrastructures. Specifications of resource allocations for resources provided by a cloud infrastructure system may be collected. Execution of a series of sets of parallel microservices may be caused. Each set may be a function of a particular type of resource data and may facilitate obtaining resource metrics data corresponding to the particular type. The series of sets may facilitate obtaining resource metrics data mapped to the resources provided by the cloud infrastructure system. Prediction rules may be selected as a function of particular resource metrics. The selected prediction rules may be used to predict resource capacities for a subset of the resources as a function of the particular resource metrics and generate resource capacity predictions. Preemptive actions with respect to incidents identified based on the resource capacity predictions may be facilitated.

Abstract: Disclosed herein are system, method, and computer program product embodiments for improving detection and treatment of patient conditions based on continuous analyte data. The disclosed techniques utilize analyte data, such as lactate, glucose, and creatinine, provided from a continuous analyte sensor to predict patient outcomes. The prediction may also take into account other medical information associated with the patient, such as patient vital signs and medical history. The disclosed system allows for early and non-invasive prediction of patient outcomes in various settings including a hospital setting, a home setting, disease (e.g., heart failure, sepsis) detection, and high risk surgery monitoring. The disclosed system also is configured to monitor patient conditions and generating alerts and/or notifications based on the predicted patient outcomes to provide preemptive treatment of patient conditions.

Abstract: A photovoltaic device includes a first electrode, a second electrode, and a photoactive layer between the first electrode and the second electrode. The photoactive layer includes a first organic salt. The first organic salt includes a photoactive ion and a counterion. The photoactive ion has a first valence selected from the group consisting of: 1+, 2+, 3+, 4+, 5+, 6+, 7+, 8+, 1?, 2?, 3?, 4?, 5?, 6?, 7?, or 8?. The counterion has a second valence selected from the group consisting of: 1+, 2+, 3+, 4+, 5+, 6+, 7+, 8+, 2?, 3?, 4?, 5?, 6?, 7?, or 8?. A sum of a magnitude of the first valence and a magnitude of the second valence is greater than or equal to 3. A net charge of the first organic salt is zero.