Abstract: A method for estimating a crack propagation rate includes receiving a first dataset for a new material design, the new material design including crack growth rate data, receiving second and third datasets for a plurality of different legacy systems associated with an existing material design, determining a legacy model for each of the plurality of different legacy systems based on the respective second and third datasets for each of the plurality of different legacy systems and the first dataset for the new material design, the legacy model based on a validity of each legacy system, the validity determined using a legacy model likelihood validity and a predictive uncertainty model validity, calculating a model weight to associate with each of the determined legacy models, and determining a first multi-source model for new data for the new material design based on the model weight.

Abstract: A method and system to receive a dataset for a new design; receive datasets for a plurality of different legacy systems; determine a legacy model for each of the plurality of different legacy systems based on the respective dataset for each of the plurality of different legacy systems and the dataset for the new design; calculate a model weight to associate with each of the determined legacy models; determine, based on a combination of the determined legacy models for the plurality of different legacy systems and the weight associated therewith, a multi-source model for new data for the new design; and save a record of the determined multi-source model.

Abstract: Certain embodiments involve flow-based color transfers from a source graphic to target graphic. For instance, a palette flow is computed that maps colors of a target color palette to colors of the source color palette (e.g., by minimizing an earth-mover distance with respect to the source and target color palettes). In some embodiments, such color palettes are extracted from vector graphics using path and shape data. To modify the target graphic, the target color from the target graphic is mapped, via the palette flow, to a modified target color using color information of the source color palette. A modification to the target graphic is performed (e.g., responsive to a preview function or recoloring command) by recoloring an object in the target color with the modified target color.

Abstract: A method of inhibiting neutrophil activation in retinal pigment epithelial (RPE) cells comprising administering an inhibitor of interferon (IFN) ? to a subject in need thereof, as well as a method of restoring lysosomal function of RPE cells comprising administering a polypeptide comprising ?A1-crystallin or a nucleic acid encoding the polypeptide to a subject in need thereof, are provided. A method of rejuvenating Vacuolar-type H+-ATPase (V-ATPase) activity in RPE cells by modulating assembly and disassembly of the V-ATPase in a subject in need thereof also is provided. Additionally, a method of treating diabetic retinopathy in a subject comprising administering a polypeptide comprising ?A1-crystallin or a nucleic acid encoding the polypeptide to the subject is provided.

Abstract: A method of restoring lysosomal function of retinal pigment epithelial (RPE) cells and a method of preventing and/or treating age-related macular degeneration (AMD), Stargardt's macular retinal degeneration, neurodegenerative disease, or diabetic retinopathy in a subject are provided. The methods comprise administering (i) a nucleic acid encoding a polypeptide comprising a constitutively active form of transcription factor EB (TFEB) or (ii) the polypeptide to a subject in need thereof. Associated polypeptides, nucleic acids, vectors, and compositions thereof also are provided.

Abstract: Certain embodiments involve flow-based color transfers from a source graphic to target graphic. For instance, a palette flow is computed that maps colors of a target color palette to colors of the source color palette (e.g., by minimizing an earth-mover distance with respect to the source and target color palettes). In some embodiments, such color palettes are extracted from vector graphics using path and shape data. To modify the target graphic, the target color from the target graphic is mapped, via the palette flow, to a modified target color using color information of the source color palette. A modification to the target graphic is performed (e.g., responsive to a preview function or recoloring command) by recoloring an object in the target color with the modified target color.

Abstract: In implementations of weighted color palette generation, one or more computing devices implement a generation system which receives input data including an input color palette. A first machine learning model receives the input color palette and generates an unweighted color palette based on the input color palette. A second machine learning model receives the generated unweighted color palette and generates a weighted color palette based on the generated unweighted color palette. The generation system renders the weighted color palette in a user interface.

Abstract: Certain embodiments involve flow-based color transfers from a source graphic to target graphic. For instance, a palette flow is computed that maps colors of a target color palette to colors of the source color palette (e.g., by minimizing an earth-mover distance with respect to the source and target color palettes). In some embodiments, such color palettes are extracted from vector graphics using path and shape data. To modify the target graphic, the target color from the target graphic is mapped, via the palette flow, to a modified target color using color information of the source color palette. A modification to the target graphic is performed (e.g., responsive to a preview function or recoloring command) by recoloring an object in the target color with the modified target color.

Abstract: In implementations of weighted color palette generation, one or more computing devices implement a generation system which receives input data including an input color palette. A first machine learning model receives the input color palette and generates an unweighted color palette based on the input color palette. A second machine learning model receives the generated unweighted color palette and generates a weighted color palette based on the generated unweighted color palette. The generation system renders the weighted color palette in a user interface.

Abstract: Certain embodiments involve flow-based color transfers from a source graphic to target graphic. For instance, a palette flow is computed that maps colors of a target color palette to colors of the source color palette (e.g., by minimizing an earth-mover distance with respect to the source and target color palettes). In some embodiments, such color palettes are extracted from vector graphics using path and shape data. To modify the target graphic, the target color from the target graphic is mapped, via the palette flow, to a modified target color using color information of the source color palette. A modification to the target graphic is performed (e.g., responsive to a preview function or recoloring command) by recoloring an object in the target color with the modified target color.

Abstract: A method and system to receive a dataset for a new design; receive datasets for a plurality of different legacy systems; determine a legacy model for each of the plurality of different legacy systems based on the respective dataset for each of the plurality of different legacy systems and the dataset for the new design; calculate a model weight to associate with each of the determined legacy models; determine, based on a combination of the determined legacy models for the plurality of different legacy systems and the weight associated therewith, a multi-source model for new data for the new design; and save a record of the determined multi-source model.

Abstract: The present invention is a location based data analytics system and method that functions to track individuals and/or equipment within a bounded location that may be an indoor or outdoor location, or a combination of indoor and outdoor locations, within a geographic site that is a bounded location. The system captures the real-time movements of the individuals/equipment and generates location and time statistics based upon real-time movements. The system is also operable to generate analytics based upon the information collected relating to the movements of the individuals/equipment as well as insights. The location and movement information can be mapped in real-time or over time.

Abstract: The present invention is a location based data analytics system and method that functions to track individuals and/or equipment within a bounded location that may be an indoor or outdoor location, or a combination of indoor and outdoor locations, within a geographic site that is a bounded location. The system captures the real-time movements of the individuals/equipment and generates location and time statistics based upon real-time movements. The system is also operable to generate analytics based upon the information collected relating to the movements of the individuals/equipment as well as insights. The location and movement information can be mapped in real-time or over time.