Abstract: Disclosed herein are systems and methods that allow for secure access to websites and web-based applications and other resources available through the browser. Also described are systems and methods for invocation of a secure web container which may display data representative of a requesting party's application at a user's machine. The secure web container is invoked upon receipt of an API call from the requesting party. Thus, described in the present specification are systems and methods for constructing and destroying private, secure, browsing environments (a secure disposable web container), insulating the user and requesting parties from the threats associated with being online for the purposes of providing secure, policy-based interaction with a requesting party's online services.

Abstract: Disclosed are devices, systems and methods for neural signal detection of immune responses. In some aspects, a system includes a processing unit: a receiving unit configured to receive at least one sensor signal from a wearable sensor, where the wearable sensor is configured to detect at least one neural signal of a patient; and a tangible non-transitory computer readable medium having instructions configured to cause the processing unit to automatically receive a data signal from the receiving unit, automatically detect an immune response based at least in part on the data signal, automatically create a notification based at least in part on the immune response, and automatically present the notification to a user of the system.

Abstract: An HVAC system includes a refrigerant sub-system and an air treatment sub-system. The air treatment sub-system includes a three-way heat exchanger. The HVAC system is operable to circulate heat transfer fluid between the heat exchanger and the refrigerant sub-system. The heat exchanger includes panel assemblies, heat transfer fluid inlet and outlet manifolds, and a heat transfer fluid inlet and outlet. Each panel assembly includes a heat transfer fluid channel and a desiccant channel separated from the heat transfer fluid channel. The inlet and outlet manifolds are connected to the heat transfer fluid channel of each panel assembly, and each extend between lateral sides of the heat exchanger. The inlet manifold is closed at a first lateral side and connected to the inlet at a second lateral side, and the outlet manifold is closed at the second lateral side and connected to the outlet at the first lateral side.

Abstract: Embodiments described herein may be directed to systems, methods, apparatuses, devices, computer program products, computer-executable instructions, and/or applications for securely and anonymously accessing web resources and customizable attribution of identity. In accordance with the present disclosure, a user may inspect and analyze a webpage as well as the underlying source code from an “arm's length” using a secure analysis application to prevent exposure on the user's local machine. The secure analysis application may provide increased flexibility in masking and/or modifying the user's digital persona to external websites.

Abstract: Provided is a device, device for analyte detection, comprising: a first waveguide; a sensor ring resonator, optically coupled to the first waveguide, wherein the sensor ring resonator is sensitive to an analyte; multiple filter ring resonators optically coupled to the sensor ring resonator, one or more detectors, wherein each of the multiple filter ring resonators is optically coupled to at least one of the one or more detectors; and at least a first microfluidic channel, wherein the first microfluidic channel configured to fluidically deliver an analyte to the sensor ring resonator.

Abstract: A method including, at a first electronic device including a user-input device and a display, authenticating a user of the first electronic device to connect to a network. In response to authenticating the user, the method includes generating user credentials indicative of authorization of the user to the network, displaying a home screen including a system tray, the system tray including a system tray icon, detecting a first input indicative of a selection of the system tray icon on the system tray. In response to detecting the first input indicative of the selection of the system tray icon, the method includes displaying a status submission user interface overlaid on the home screen, the status submission user interface including a plurality of user-sentiment icons.

Abstract: An analytics interface is provided for a content creation tool. Based on input to the analytics interface, first and second media content items are selected, where certain content is shared between the media content items. The system modifies first and second media content items to comply with formatting constraints of first and second social media services, respectively. The system associates, via a mapping, the first and second media content items with a group and publishes the first and second media content items to the first and second social media services, respectively. The system uses the mapping to match the group with first and second analytics respectively received from the first and second social media services about the first and second media content items. The system updates the analytics interface with visual representations of grouped analytics, which are generated based on matching the group with the first second analytics.

Abstract: Disclosed systems and methods use machine-learning techniques to determine a set of parameters that if applied to a target video, apply a color characteristic of a reference video to the target video. For example, a color consistency application executing on a computing device computes a feature vector including a representation of a reference video and a target video. The application determines a set of color parameters (e.g., exposure, color temperature, tint, etc.) by applying the feature vector to one or more predictive models trained to determine color consistency. The application generates a preview image by applying the parameters to the target video. The applying causes an adjustment of exposure, color temperature, or tint in the target video such that a color consistency of the adjusted target video is consistent with a color consistency of the reference video. The color consistency application provides settings to further adjust the parameters.

Abstract: Disclosed systems and methods use machine-learning techniques to determine a set of parameters that if applied to a target video, apply a color characteristic of a reference video to the target video. For example, a color consistency application executing on a computing device computes a feature vector including a representation of a reference video and a target video. The application determines a set of color parameters (e.g., exposure, color temperature, tint, etc.) by applying the feature vector to one or more predictive models trained to determine color consistency. The application generates a preview image by applying the parameters to the target video. The applying causes an adjustment of exposure, color temperature, or tint in the target video such that a color consistency of the adjusted target video is consistent with a color consistency of the reference video. The color consistency application provides settings to further adjust the parameters.

Abstract: An analytics interface is provided for a content creation tool. Based on input to the analytics interface, first and second media content items are selected, where certain content is shared between the media content items. The system modifies first and second media content items to comply with formatting constraints of first and second social media services, respectively. The system associates, via a mapping, the first and second media content items with a group and publishes the first and second media content items to the first and second social media services, respectively. The system uses the mapping to match the group with first and second analytics respectively received from the first and second social media services about the first and second media content items. The system updates the analytics interface with visual representations of grouped analytics, which are generated based on matching the group with the first second analytics.

Abstract: An apparatus for an in-vivo power generation comprises a fuel convertor for converting glucose in a fluid to a hydrogen rich, low carbon fuel such as ethanol or methanol by the action of a bioenzyme on the glucose in the CSF. The fluid can be any one of cerebrospinal fluid, urine and glucose solution. The apparatus further comprises a biofuel cell comprising a cathode chamber and an anode chamber with a membrane assembly sandwiched between them. The membrane assembly comprises a cathode, an anode and a proton exchange membrane. The cathode is coated with an enzyme laccase, which enables extraction of oxygen when the fluid is passed through the cathode chamber. The oxygen from the cathode chamber and the hydrogen in the hydrogen rich fuel from the anode chamber diffuses through the proton exchange membrane and reacts at an ionic level to result in water and electrical power.

Abstract: Rendering content in a graphical user interface (GUI) is disclosed. A region of a GUI is defined as a graphical object. The graphical object corresponds to content. Input is received from an input device. The received input identifies a location on the GUI. The location is in spatial proximity to the defined region of a graphical object. In response to receiving such input, the content corresponding to the graphical object is rendered in the defined region of the GUI. The content may be rendered only in a subset of the defined region of the GUI. Further input, such as input corresponding to a particular location on the GUI, or input corresponding to a change in locations on the GUI in a particular direction, may be received, causing one or more commands to be executed on the rendered content.

Abstract: An apparatus for an in-vivo power generation comprises a fuel convertor for converting glucose in a fluid to a hydrogen rich, low carbon fuel such as ethanol or methanol by the action of a bioenzyme on the glucose in the CSF. The fluid can be any one of cerebro spinal fluid, urine and glucose solution. The apparatus further comprises a biofuel cell comprising a cathode chamber and an anode chamber with a membrane assembly sandwiched between them. The membrane assembly comprises a cathode, an anode and a proton exchange membrane. The cathode is coated with an enzyme laccase, which enables extraction of oxygen when the fluid is passed through the cathode chamber. The oxygen from the cathode chamber and the hydrogen in the hydrogen rich fuel from the anode chamber diffuses through the proton exchange membrane and reacts at an ionic level to result in water and electrical power.

Abstract: Systems and methods for identifying, tracking, and using objects in a video or similar electronic content, including methods for tracking one or more moving objects in a video. This can involve tracking one or more feature points within a video scene and separating those feature points into multiple layers based on motion paths. Each such motion layer can be further divided into different clusters, for example, based on distances between points. These clusters can then be used as an estimate to define the boundaries of the objects in video. Objects can also be compared with one another in cases in which identified objects should be combined and considered a single object. For example, if two objects in the first two frames have significantly overlapping areas, they may be considered the same object. Objects in each frame can further be compared to determine the life of the objects across the frames.

Abstract: Generating smart tags that allow a user to locate any portion of image content without viewing the image content is disclosed. Image-based processing is performed on image content to find an event of interest that is an occurrence captured by the image content. Thus, metadata is derived from analyzing the image content. The metadata is then analyzed. Different types of characteristics associated with portions of the image content as indicated by the metadata are detected. Responsive to this, tags are created, and different types of tags are applied to the portions of image content to categorize the portions into classes. Thus, a tag is associated with each portion of the image content including the event of interest. The tag describes a characteristic of that portion of the image content. Display of the different types of tags is initiated for selective viewing of the portions of the image content.

Abstract: Methods and apparatus provide for an output manager that receives an identification of content. The output manager receives an identification of a set of filters to be applied to the content where each filter in the set of filters defines a sequence of steps to be applied to the content. The output manager identifies shared steps that are common to the sequence of steps of at least two filters in the set of filters. Thus, upon a first execution of a shared step in a sequence of steps by a filter, the output manager caches output of the first execution to be used in place of execution of that shared step in a sequence of steps of another filter in the set of filters.

Abstract: Systems and methods for identifying, tracking, and using objects in a video or similar electronic content, including methods for tracking one or more moving objects in a video. This can involve tracking one or more feature points within a video scene and separating those feature points into multiple layers based on motion paths. Each such motion layer can be further divided into different clusters, for example, based on distances between points. These clusters can then be used as an estimate to define the boundaries of the objects in video. Objects can also be compared with one another in cases in which identified objects should be combined and considered a single object. For example, if two objects in the first two frames have significantly overlapping areas, they may be considered the same object. Objects in each frame can further be compared to determine the life of the objects across the frames.

Abstract: Systems and methods for identifying, tracking, and using objects in a video or similar electronic content, including methods for tracking one or more moving objects in a video. This can involve tracking one or more feature points within a video scene and separating those feature points into multiple layers based on motion paths. Each such motion layer can be further divided into different clusters, for example, based on distances between points. These clusters can then be used as an estimate to define the boundaries of the objects in video. Objects can also be compared with one another in cases in which identified objects should be combined and considered a single object. For example, if two objects in the first two frames have significantly overlapping areas, they may be considered the same object. Objects in each frame can further be compared to determine the life of the objects across the frames.

Abstract: Embodiments herein include presenting smart tags describing characteristics of image content in a hierarchy, and performing operations on the hierarchy to find particular image content within a larger amount of image content. Image content and corresponding tags are maintained. The corresponding tags associated with the image content are presented in a hierarchy. Each tag type in the hierarchy represents a characteristic associated with the image content. Each tag in the hierarchy is derived based on image-based processing applied to the image content. In response to receiving a selection of at least one tag in the hierarchy, display of the image content associated with the at least one tag is initiated. A user is able to quickly and easily find desired image content by using the hierarchy to look at tags, select a type of tag from the hierarchy, and thereafter view any content tagged with the selected tag type.

Abstract: The present invention introduces an innovative data mining technique to identify precursory signals associated with earthquakes. It involves a multistrategy approach that employs one-dimensional wavelet transformations to identify singularities in data, and analyzes the continuity of wavelet maxima in time and space to determine the singularities that could be precursory signals. Surface Latent Heat Flux (SLHF) data may be used. A single prominent SLHF anomaly may be found to be associated some days prior to a main earthquake event.