Abstract: The present technology is generally directed to flow cartridges configured to measure and/or detect analytes in urine. A representative flow cartridge includes a urine inlet configured to receive urine from a patient, a flow channel fluidly coupled to the urine inlet, and sensors fluidly coupled to the flow channel that are configured to measure parameters of the urine flow. The sensors are aligned with corresponding sensing zones of the flow channel and are operable to generate sensor data based on urine flow through the sensing zones. In some embodiment, the sensor data is used to provide fluid therapy to the patient by adjusting an amount or rate of diuretic and/or hydration fluid based on the sensor data.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, and increasing the dosage rate of the diuretic from the initial dosage rate to additional dosage rates higher than the initial dosage rate over a period of time. In some embodiments, the additional dosage rates include a first dosage rate higher than the initial dosage rate, a second dosage rate higher than the first dosage rate, and a third dosage rate higher than the second dosage rate.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, wherein the dosage rate is increased over a period of time such that the urine output rate increases to be above a predetermined threshold within the period of time; and causing a hydration fluid to be provided to the patient at a hydration rate. The hydration rate can be set based on the urine output rate to drive net fluid loss from the patient.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, wherein the dosage rate is increased over a period of time such that the urine output rate increases to be above a predetermined threshold within the period of time; and causing a hydration fluid to be provided to the patient at a hydration rate. The hydration rate can be set based on the urine output rate to drive net fluid loss from the patient.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, wherein the dosage rate is increased over a period of time such that the urine output rate increases to be above a predetermined threshold within the period of time; and causing a hydration fluid to be provided to the patient at a hydration rate. The hydration rate can be set based on the urine output rate to drive net fluid loss from the patient.

Abstract: The present technology is generally directed to flow cartridges configured to measure and/or detect analytes in urine. A representative flow cartridge includes a urine inlet configured to receive urine from a patient, a flow channel fluidly coupled to the urine inlet, and sensors fluidly coupled to the flow channel that are configured to measure parameters of the urine flow. The sensors are aligned with corresponding sensing zones of the flow channel and are operable to generate sensor data based on urine flow through the sensing zones. In some embodiment, the sensor data is used to provide fluid therapy to the patient by adjusting an amount or rate of diuretic and/or hydration fluid based on the sensor data.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, wherein the dosage rate is increased over a period of time such that the urine output rate increases to be above a predetermined threshold within the period of time; and causing a hydration fluid to be provided to the patient at a hydration rate. The hydration rate can be set based on the urine output rate to drive net fluid loss from the patient.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, wherein the dosage rate is increased over a period of time such that the urine output rate increases to be above a predetermined threshold within the period of time; and causing a hydration fluid to be provided to the patient at a hydration rate. The hydration rate can be set based on the urine output rate to drive net fluid loss from the patient.

Abstract: Devices, systems, and methods for delivering fluid therapy to a patient are disclosed herein. An exemplary method can comprise obtaining a urine output rate from a patient; causing a diuretic to be provided to the patient at a dosage rate, wherein the dosage rate is increased over a period of time such that the urine output rate increases to be above a predetermined threshold within the period of time; and causing a hydration fluid to be provided to the patient at a hydration rate. The hydration rate can be set based on the urine output rate to drive net fluid loss from the patient.

Abstract: Exemplary embodiments include methods and systems for diagnosing and/or analyzing one or more service problems including an acquire module configured to acquire one or more interactive flow chart methods to diagnose one or more service problems, wherein each of the one or more interactive flow chart methods comprises one or more method steps. Also, the system may include an analytical module configured to provide a first method step of the one or more interactive flow chart methods to a user and provide a second method step of the one or more interactive flow chart methods based at least in part on a user feedback to the first method step; and a presentation module configured to display a diagnostic report of the one or more service problems.

Abstract: A system for optimizing a usage of energy based on cost, carbon footprint, and/or other criteria. The usage may be optimized for the next day or more. The optimization may deal with renewable energy, grid energy and stored energy. Various inputs may be considered for optimization, which could include energy costs, weather forecasts, characteristics of renewable energy, the load and storage, and other items. The optimizer may use equipment models with numerical transfer functions to take inputs and provide optimized estimates for the next day or so of energy usage. The outputs of the models may go to an optimization algorithms module for providing an output based on the inputs. The output may provide control information for the selection and amounts of the different types of energy in a scheduled manner.

Abstract: Exemplary embodiments include methods and systems for diagnosing and/or analyzing one or more service problems including an acquire module configured to acquire one or more interactive flow chart methods to diagnose one or more service problems, wherein each of the one or more interactive flow chart methods comprises one or more method steps. Also, the system may include an analytical module configured to provide a first method step of the one or more interactive flow chart methods to a user and provide a second method step of the one or more interactive flow chart methods based at least in part on a user feedback to the first method step; and a presentation module configured to display a diagnostic report of the one or more service problems.

Abstract: A calculator or system for evaluating renewable energies in various geospatial areas or regions and for targeting potential buyers. The calculator may have a financial model which has inputs of renewable energy data by region including respective energy outputs and monetary values. The inputs may also include financial information related to establishing renewable energies. An output from the financial model may include a scorecard of information. Also, customer information may be added to the scorecard. The scorecard may have an output that targets potential customers of renewable energies.