Abstract: A system to perform marine surveying may include a pair of identical design autonomous marine survey vehicles configured for coordinated operations. The vehicles may navigate and transit from a launch location to a geographically distant designated survey location, continuously survey and transit to a designated recovery location. A pair of vehicles may operate interchangeably at the sea surface, semi-submerged and underwater. Each may generate energy when operating at the surface and store energy in a rechargeable battery to power vehicle operation. The payload may include a sensor system to acquire seabed sensor data. A data storage system may store the sensor data. An on-board payload quality control system may analyze data validity. Positioning when the vehicle is collecting seabed sensor data may be determined with high precision, to provide survey data of high precision.

Abstract: Predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is described. A training data set is constructed from a series of libraries, including at least one library comprising genomic, proteomic, and research data specific to non-humans. A predictive machine learning model is developed based on the constructed training data set and utilized to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. A subset of sequences is selected for evaluation from the plurality of sequences based on the predicted quality or performance and candidate samples are designed derived from the non-human donor using the selected subset of sequences.

Abstract: A system to perform marine surveying may include a pair of identical design autonomous marine survey vehicles configured for coordinated operations. The vehicles may navigate and transit from a launch location to a geographically distant designated survey location, continuously survey and transit to a designated recovery location. A pair of vehicles may operate interchangeably at the sea surface, semi-submerged and underwater. Each may generate energy when operating at the surface and store energy in a rechargeable battery to power vehicle operation. The payload may include a sensor system to acquire seabed sensor data. A data storage system may store the sensor data. An on-board payload quality control system may analyze data validity. Positioning when the vehicle is collecting seabed sensor data may be determined with high precision, to provide survey data of high precision.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: A method for predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance.

Abstract: A system to perform marine surveying may include a pair of identical design autonomous marine survey vehicles configured for coordinated operations. The vehicles may navigate and transit from a launch location to a geographically distant designated survey location, continuously survey and transit to a designated recovery location. A pair of vehicles may operate interchangeably at the sea surface, semi-submerged and underwater. Each may generate energy when operating at the surface and store energy in a rechargeable battery to power vehicle operation. The payload may include a sensor system to acquire seabed sensor data. A data storage system may store the sensor data. An on-board payload quality control system may analyze data validity. Positioning when the vehicle is collecting seabed sensor data may be determined with high precision, to provide survey data of high precision.

Abstract: The disclosed AC harmonic first circuit utilizes band pass and stop filters that have resonance frequencies close to but yet a few Hz or a small percent away from the harmonic frequencies intended to be attenuated, the difference being comparable to the Q factor of the respective filter. Thus, every circuit filter has a different resonance frequency, and the difference between the filter resonance and harmonic frequencies might be 0.2-5%. Each filter attenuates the energy of each harmonic by possibly 10-50%. A network filter having a resonance frequency corresponding to the AC power network frequency is in series in the hot line between the power network source and the harmonic filter circuit. The circuit uses only passive components in reducing disruptive harmonics from the AC power network.