Abstract: The present disclosure relates to tobacco plants, tobacco seeds, compositions, and methods related to the identification and introgression of the Pale Yellow locus in tobacco. It also relates to generating novel mutations within the PY locus in tobacco.

Abstract: Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Abstract: Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Abstract: A smart electrical plug supports one or more electrical outlets and one or more universal serial bus (USB) outlets for charging electrical devices. Electrical power consumed through the one or more electrical outlets may be measured individually or in combination and reported via a wireless communication channel. The smart electrical plug may be implemented by a plurality of printed circuit board assemblies and distributed within a housing to reduce the effects of heat dissipation. The smart electrical plug may further reduce heat dissipation by utilizing one or more electrical circuit approaches.

Abstract: A roller bearing includes an outer ring, an inner ring, at least one row of rollers arranged between the outer ring and the inner ring, and at least one optical fiber cable mounted to the outer ring or the inner ring, the optical fiber cable including at least one Bragg grating. The optical fiber cable is configured such that a signal in the optical fiber cable is usable to determine a preload or load on the roller bearing.

Abstract: Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Abstract: Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Abstract: Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Abstract: Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Abstract: A smart electrical plug supports one or more electrical outlets and one or more universal serial bus (USB) outlets for charging electrical devices. Electrical power consumed through the one or more electrical outlets may be measured individually or in combination and reported via a wireless communication channel. The smart electrical plug may be implemented by a plurality of printed circuit board assemblies and distributed within a housing to reduce the effects of heat dissipation. The smart electrical plug may further reduce heat dissipation by utilizing one or more electrical circuit approaches.

Abstract: An energy harvester system including a primary energy collector (PEC), a cam gear ring, multiple secondary energy collectors (SEC), and a central gear is provided. The PEC and the SECs harness ambient motion energy. The PEC is attached to a support base member. The cam gear ring is operably engaged to the PEC and rotated by the PEC. The SECs are positioned in a space defined by the cam gear ring and rotated on receiving ambient motion energy. One SEC is unclamped from the support base member and slides towards the central gear when the cam gear ring contacts the SEC, while the other SECs are clamped on the support base member. The central gear operably engages with the unclamped SEC that slid towards the central gear and rotates with the unclamped SEC. The rotating central gear can be coupled to different power generating devices for generating electrical energy.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.

Abstract: Stable pharmaceutical compositions of famotidine and ibuprofen in a single unit dosage form are disclosed herein. The compositions comprise a famotidine core having a reduced or minimal surface area surrounded by a layer of ibuprofen. In some embodiments, the ibuprofen is in direct physical contact with the famotidine.