Abstract: A greenhouse gas verification system includes a local data verification device, an upstream data verification device, and a data weighting device. The local data verification device obtains multiple sensor data and multiple data coefficients associated with the sensor data, and calculates a total greenhouse gas quantity according to these sensor data and data coefficients. The upstream data verification device obtains a greenhouse gas value and upstream evidence associated with the greenhouse gas value, and generates a verification result according to the upstream evidence and the greenhouse gas value. When the verification result is passed, the upstream data verification device outputs the greenhouse gas values. The data weighting device receives the total greenhouse gas quantity and the greenhouse gas value, and performs weighted calculations according to the greenhouse gas value and total greenhouse gas quantity to output a greenhouse gas value vector.

Abstract: The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.

Abstract: The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: Optimization of therapeutic outcomes is disclosed. By analyzing molecular genomic sequence data from an individual relative to a pre-defined knowledge base as well as dynamically generated analyses from comparison to a set of other individuals and molecular genomic sequence data of those other individuals along with their therapeutic history and clinical outcome, medication selection for optimum therapeutic outcomes is achieved. The system determines likelihoods of the desired clinical outcome and adverse event profile derived from both the predefined knowledge base along with the dynamic analysis of large-scale population data (e.g., 1 million clinical profiles including linked genomes or some appropriate sample size of clinical profiles with linked genomes sufficient for statistically-powered analyses), and provides a set of recommendations and alternatives for a clinician based on the patient's profile.

Abstract: An embodiment of the disclosure provides a method for performing claim adjudication by an adherence server. The adherence server includes a non-transitory computer readable medium and a processor to execute computer executable instructions stored on the non-transitory computer readable medium, so that when the instructions are executed, the adherence server performs the method of: (a) receiving adherence data describing a patient's adherence to a prescribed medication; (b) determining an adherence level for the patient using the received adherence data; (c) comparing the adherence level to an adherence threshold; and (d) providing, to a second device, an adherence decision based on the comparison between the adherence data and the adherence threshold.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: A method and system for analyzing a relationship between agents and clinical outcomes is disclosed. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display. The displayed information can also be scaled and filtered for ease of use. Also, the results may be stratified into sub-populations.

Abstract: A localized heating structure, and method of forming same, for use in solar systems includes a thermally insulating layer having interconnected pores, a density of less than about 3000 kg/m3, and a hydrophilic surface, and an expanded carbon structure adjacent to the thermally insulating layer. The expanded carbon structure has a porosity of greater than about 80% and a hydrophilic surface.

Abstract: The present invention provides a composition for use in the treatment of brain injury and cerebral stoke patients. The composition comprising an effective amount of Astragalus membranaceus extract and pharmaceutically acceptable carrier, excipients or salts. The brain injury includes the traumatic brain injury (TBI) and the acquired brain injury (ABI). The cerebral stoke includes the cerebral ischemia stroke and the cerebral hemorrhage stroke.

Abstract: Embodiments of the disclosure provide systems and methods for application discovery, subsidy and assessment. The application can be a software application for use on a phone, tablet computer or other mobile device or a computer such as a laptop computer or desktop computer. In some embodiments, the application relates to health and/or well being of a patient or user of the application. Embodiments of the disclosure describe systems and methods for a user to discover applications in an online application store.

Abstract: A localized heating structure, and method of forming same, for use in solar systems includes a thermally insulating layer having interconnected pores, a density of less than about 3000 kg/m3, and a hydrophilic surface, and an expanded carbon structure adjacent to the thermally insulating layer. The expanded carbon structure has a porosity of greater than about 80% and a hydrophilic surface.

Abstract: A method, computer-readable storage medium, and system for analyzing a relationship between one or more agents and one or more clinical outcomes. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display.

Abstract: A method, computer-readable storage medium, and system for analyzing a relationship between one or more agents and one or more clinical outcomes. The method includes: receiving a selection of one or more agents; receiving a selection of one or more clinical outcomes; for each of the one or more agents, analyzing clinical data stored in a database to determine a number of occurrences of each of the one or more clinical outcomes when the agent is administered; for each of the one or more agents, calculating a risk score for each clinical outcome corresponding to the number of occurrences of the clinical outcome; and outputting the risk scores to a graphical display.

Abstract: There is a commercial wiring system and method for wiring, which is designed to increase the speed of installation of wiring devices. In one embodiment of the invention there is a bracket which is designed to receive an adapted wiring box. This bracket has tabs for fixing to a wiring box to form an electrical box. The bracket can be coupled to another bracket that is adjustable in length and includes at least two legs, with a first leg being slidable in position in relation to a second track. A first set of tracks in the first assembly is designed to receive the second set of tracks in the second assembly in a telescoping or nested manner. The adjustable electrical box assembly can include a box section, a mounting plate and a mud ring or plaster ring.

Abstract: The present invention uses a post-sinter-HIP anneal to increase the total transmittance of ceramic discharge vessels comprised of a submicron-grained alumina doped with MgO. After the anneal, the submicron-grained alumina discharge vessels have high values of both total and in-line transmittance, and are thus suitable for use in focused-beam, short-arc lamps. In particular, the total transmittance of the discharge vessel is increased to greater than 92% in the wavelength range from about 400 nm to about 700 nm.

Abstract: A translucent polycrystalline material suitable for use in ceramic discharge vessels for metal halide lamps is produced by sintering an alumina powder doped with a MgO sintering aid in a nitrogen atmosphere containing a partial pressure of a vapor phase carbon-containing species. The sintered polycrystalline alumina has a grain boundary phase containing aluminum, oxygen and nitrogen. The formation of the Al—O—N grain boundary phase is believed to facilitate the transport of nitrogen from entrapped pores during sintering. Preferably, the PCA is sintered in a carbon-element furnace under flowing ultra-high-purity nitrogen.