Abstract: Devices, systems, and methods for filter life prediction for an aspirating smoke detector are described herein. In some examples, one or more embodiments include a computing device comprising a memory and a processor to execute instructions stored in the memory to log operational data of the aspirating smoke detector for a first time period to generate an initial data set, fit a machine learning model to the initial data set, and determine, based on the machine learning model, a remaining useful life of the filter.

Abstract: Provided herein are qPCR-based methods for quantitatively detecting and differentiating between live and dead pathogenic bacteria such as carbapenem-resistant Enterobacteriaceae (CRE). Also provided herein are simple, fast, and reliable genomic DNA extraction methods with improved efficiency.

Abstract: The present solution, approach or method, including an end-to-end automated data pipeline for data ingestion, storage, analysis, deployment, and a machine learning model maintenance. The present solution, approach or method, which computes a baseline using machine learning methods, may help in the following ways. Accurate real time estimation may help evaluate the deviation in the actual energy consumption, effectively identifying underlying root causes for an increase in actual consumption, as compared to the estimated energy. Triangulating the time of day and place of high energy consumption results in quicker resolution. Accurately quantifying energy savings may be helpful. Forecasting energy consumption in the future, may enable planning for future energy needs. Energy saving calculations may be done by comparing actual consumption versus baseline predicted consumption based for a specific baseline period.

Abstract: The disclosure relates to methods for multiplexed detection of DNA methylation in pooled DNA libraries. In particular, provided herein are methods for detection of DNA methylation in pooled DNA libraries using enzymatic digestion by a micrococcal nuclease, methylated DNA immunoprecipitation, and quantitative amplification.

Abstract: Methods and systems are provided for predictive maintenance of a vehicle component. One method involves mapping a current instance of a component of a vehicle to one of plurality of degradation groups of prior lifecycles for other instances of the component based on a relationship between performance measurement data for the current instance and historical performance measurement data associated with that respective degradation group, obtaining contextual data associated with operation of the vehicle, and determining a maintenance recommendation for the current instance of the component based on the contextual data using a predictive maintenance model associated with the mapped degradation group.

Abstract: Provided herein are qPCR-based methods for quantitatively detecting and differentiating between live and dead pathogenic bacteria such as carbapenem-resistant Enterobacteriaceae (CRE). Also provided herein are simple, fast, and reliable genomic DNA extraction methods with improved efficiency.

Abstract: Provided herein are qPCR-based methods for quantitatively detecting and differentiating between live and dead pathogenic bacteria such as carbapenem-resistant Enterobacteriaceae (CRE). Also provided herein are simple, fast, and reliable genomic DNA extraction methods with improved efficiency.

Abstract: Disclosed herein are compositions and methods for accurately estimating the absorbed dose of radiation indicated by a subject based on the expression pattern of a panel of radiation-modulated (RM) genes at various time points following exposure of the subject to ionizing radiation.

Abstract: Methods and systems are provided for predictive maintenance of a vehicle component. One method involves mapping a current instance of a component of a vehicle to one of plurality of degradation groups of prior lifecycles for other instances of the component based on a relationship between performance measurement data for the current instance and historical performance measurement data associated with that respective degradation group, obtaining contextual data associated with operation of the vehicle, and determining a maintenance recommendation for the current instance of the component based on the contextual data using a predictive maintenance model associated with the mapped degradation group.

Abstract: Disclosed herein are compositions and methods for accurately estimating the absorbed dose of radiation indicated by a subject based on the expression pattern of a panel of radiation-modulated (RM) genes at various time points following exposure of the subject to ionizing radiation.

Abstract: Disclosed herein are compositions and methods for accurately estimating the absorbed dose of radiation indicated by a subject based on the expression pattern of a panel of radiation-modulated (RM) genes at various time points following exposure of the subject to ionizing radiation.

Abstract: Disclosed herein are compositions and methods for accurately estimating the absorbed dose of radiation indicated by a subject based on the expression pattern of a panel of radiation-modulated (RM) genes at various time points following exposure of the subject to ionizing radiation.

Abstract: Provided herein are qPCR-based methods for quantitatively detecting and differentiating between live and dead pathogenic bacteria such as carbapenem-resistant Enterobacteriaceae (CRE). Also provided herein are simple, fast, and reliable genomic DNA extraction methods with improved efficiency.

Abstract: Disclosed herein are compositions and methods for accurately estimating the absorbed dose of radiation indicated by a subject based on the expression pattern of a panel of radiation-modulated (RM) genes at various time points following exposure of the subject to ionizing radiation.