Abstract: A method for secure analysis of distributed data includes receiving a request from a user to perform a data analysis operation. The data analysis operation utilizes first data accessible by a first secure research environment and second data accessible by a second secure research environment. The method further includes authenticating the user at the first secure research environment and the second secure research environment, communicating a first query for the first data to the first secure research environment, and communicating a second query for the second data to the second secure research environment. The method further includes receiving, from a secure compute environment in communication with the first secure research environment and the second secure research environment, results from the data analysis operation.

Abstract: Systems and methods for diagnosing dermatological conditions and determining deviations from normal appearances are provided. In one aspect, a computer-implemented method involves receiving, by an image sensor of a computing device, a plurality of images of a subject and determining, by the computing device, a region of interest for each image in the plurality of images. The computer-implemented method also involves generating, by a neural network disposed within the computing device, a dermatological condition metric related to a severity of at least one dermatological condition exhibited by the region of interest for each image in the plurality of images. The computer-implemented method also involves comparing, at the computing device, the dermatological condition metric to one or more stored metrics and providing, by the computing device and based on the comparison, a titration recommendation.

Abstract: The present disclosure provides for computational data analysis across multiple data sources. A pipeline (or workflow) is imported and a dataset is selected. The dataset resides on a virtual file system and includes data residing on one or more storage locations associated with the virtual file system. One or more compute resources are selected to perform the pipeline analysis based at least on the imported pipeline and the dataset. The one or more compute resources are selected from a plurality of available compute resources associated with the one or more storage locations associated with the virtual file system. The pipeline analysis is performed using the selected compute resources on the dataset in one or more secure clusters. The resulting data generated from the pipeline analysis is submitted to the virtual file system.

Abstract: An optoelectronic foil comprising a substrate and a conductive layer comprising at least one oxide layer and at least one metal layer, wherein between the conductive layer and the substrate of the foil there is a barrier layer comprising at least one material selected from the group consisting of silicon oxides (SiOx), aluminium oxides (Al2O3, AlOxNy), titanium oxides (TiOx), silicon oxynitrides SiON, silicon nitrides (Si3N4, SiNx), organic silicon compounds (SiCxHy), zirconium oxide (ZrO2), hafnium oxide (HfO2), chromium oxides (CrO, Cr2O3, CrO2, CrO3, CrO5) and parylene.

Abstract: Solar panels and solar heating systems are disclosed. In some embodiments, the solar panels include the following: a top protective layer; a thin-film photovoltaic layer adjacent the top layer; a bottom polymeric substrate layer opposite the top layer; and a functionally graded material interlayer positioned between the top and bottom layers, the interlayer including a first homogeneous polymeric composite layer below the thin film photovoltaic layer, a second homogeneous polymeric composite layer including water tubes below the first composite layer, and a substantially polymeric layer below the second composite layer and adjacent the bottom layer.