Abstract: Methods of treating an aqueous source are described herein that include reducing a concentration of sulfide species in a stream obtained from the aqueous source to form an extraction feed and extracting ions from the extraction feed, or a stream obtained from the extraction feed, using direct aqueous extraction. Other methods describe treating an aqueous source by reducing a concentration of organic species in a stream derived from the aqueous source to form an extraction feed and extracting ions from the extraction feed, or a stream derived from the extraction feed, using direct aqueous extraction. The aqueous source can be an aqueous lithium source.

Abstract: Provided is a method and system (108) for building and leveraging a knowledge fabric (110) in a Software Development Lifecycle (SDLC). A plurality of SDLC artifacts are received from a plurality of heterogeneous data sources (102). The plurality of SDLC artifacts are then correlated to build an end-to-end correlation and are clustered to generate an SDLC knowledge fabric (110). This includes extracting semantic and contextual data from the plurality of SDLC artifacts using Natural Language Processing (NLP) and deep text analytics and transforming the extracted semantic and contextual data to knowledge graphs. One or more actionable items (112) are then derived using the SDLC knowledge fabric (110) and the one or more actionable items (112) are used to improve overall process efficiency and accelerate software delivery in the SDLC.

Abstract: A system for providing electrical power includes a high temperature heat source, an ambient temperature heat sink, an ORC generator, a solar thermal collector, and an SDES device. The ORC generator includes a generator working fluid with a boiling temperature greater than an ambient temperature of the ambient temperature heat sink, and the generator working fluid receives heat from the high temperature heat source and exhausts heat to the ambient temperature heat sink. The solar thermal collector is in thermal communication with the high temperature heat source to heat the high temperature heat source. The solar thermal collector includes a photovoltaic (PV) module, and the solar thermal collector is configured to convert a first portion of sunlight to thermal energy and a second portion of the sunlight to electrical energy. The SDES device receives electrical energy from one of the ORC generator and the PV module.

Abstract: An OCT system includes a machine learning (ML) model trained to receive a single OCT scan/image and provide an image translation and/or denoise function. The ML model may be based on a neural network (NN) architecture including a series of encoding modules in a contracting path followed by a series of decoding modules in an expanding path leading to an output convolution module. An intermediate error module determines a deep error measure, e.g., between a training output image and at least one encoding module and/or decoding module, and an error from the output convolution module is combined with the deep error measure. The NN may be trained using true averaged images as ground truth, training outputs. Alternatively, the NN may be trained using randomly selected, individual OCT images/scans as training outputs.

Abstract: Technologies are disclosed for generating and publishing multi-platform application binaries from hosted websites or website source code. A developer can provide source code for a website or a link to a hosted website and identify target platforms for which application binaries should be created. The website is then modified for optimized presentation on devices on the specified target platforms. For example, page layouts, menu styles, image resolutions, and other aspects of the website can be modified for presentation on a mobile device, a tablet, a set top box, or other type of device. Source code is then generated for the target platforms that includes a web view component for rendering the website. A cross-platform compilation service then compiles the source code to generate native applications for the target platforms. The generated applications can then be provided to the developer or automatically submitted to application stores associated with the target platforms.

Abstract: Various embodiments provide methods and systems for presenting content to users on a computing device. In some embodiments, the computing device is configured to determine content or object of interest on the display screen of the computing device by using head position information of the user. For example, the content or object of interest can be extrapolated and determined from a 3D head position of the user and the relative position of the computing device. Depending on the content or object of interest, one or more actions (e.g., zooming in or out, rendering advertisement, or auto-focusing) related to the content or object of interest can be performed on the computing device.

Abstract: Techniques are described for updating applications installed on devices. The applications may include native applications having a web view component to handle interpreted language instructions. The applications may also include web applications executable within a browser. A message may be sent to a computing device, the message including update information specifying one or more updates to the state or the features of an application. The update information may be described using interpreted language instructions. To handle the updates to an application in instances when the application is inactive, a stand-alone interpreter engine may be employed instead of the web view component or instead of the interpreter engine included in a browser. Use of the stand-alone interpreter engine may mitigate possible performance effects or intrusive user interface elements from launching the web view component or the browser-based interpreter engine to perform update operations.