Abstract: Various embodiments of a multi-photon microscopy system that uses sequential excitation of a sample through three or more objective lenses oriented at different axes intersecting the sample are disclosed. Each objective lens is capable of focused sequential excitation of the sample that elicits fluorescence emissions from the excited sample, which is then simultaneously detected by each respective objective lens along a respective longitudinal axis every time the sample is illuminated through only a single objective lens.

Abstract: The present invention relates generally to the field of compensation methods for nuclear reactors and, in particular to a method for fail-safe reactivity compensation in solution-type nuclear reactors. In one embodiment, the fail-safe reactivity compensation method of the present invention augments other control methods for a nuclear reactor. In still another embodiment, the fail-safe reactivity compensation method of the present invention permits one to control a nuclear reaction in a nuclear reactor through a method that does not rely on moving components into or out of a reactor core, nor does the method of the present invention rely on the constant repositioning of control rods within a nuclear reactor in order to maintain a critical state.

Abstract: A virtual environment platform may receive, from a user device, a request to access a virtual reality (VR) environment and may verify, based on the request, a user of the user device to allow the user device access to the VR environment. The virtual environment platform may receive, after verifying the user of the user device, user voice input and user handwritten input from the user device. The virtual environment platform may generate processed user speech by processing the user voice input, wherein a characteristic of the processed user speech and a corresponding characteristic of the user voice input are different and may generate formatted user text by processing the user handwritten input, wherein the formatted user text is machine-encoded text. The virtual environment platform may cause the processed user speech to be audibly presented and the formatted user text to be visually presented in the VR environment.

Abstract: Delegated administration of permissions using a contactless card. In one example, a permissions module may receive a request from a first account to grant a second account access to a computing resource. The permissions module may receive permissions data of the first account from a contactless card and encrypted data generated by the contactless card. The permissions module may transmit the permissions data and the encrypted data to an authentication server, which may verify the encrypted data based at least in part on the private key, and determine, based on the permissions data, that the first account has permissions to grant access to the computing resource. The permissions module may receive, from the authentication server, an indication of the verification of the encrypted data and a permissions vector associated with the second account, the permissions vector reflecting the grant of access to the computing resource to the second account.

Abstract: The disclosed embodiments include methods and systems for switching electronic accounts using self-service device. The account switch system may receive, from the self-service device, a request to switch an existing electronic account associated with a first provider to a new electronic account associated with a second provider. The account switch system may also receive, from the self-service device, information associated with the existing electronic account. The account switch system may generate the new electronic account associated with the second financial service provider and transfer data, such as funds, associated with the existing electronic account to the new electronic account. The account switch system may send information associated with the new electronic account to the self-service device, and the self-service device may provide a new account card associated with the individual and the new electronic account to the individual that is ready for use.

Abstract: This disclosure relates generally to method and system for extracting contextual information from a knowledge base. The method receives a user query comprising a request to extract contextual information from the user query. Further, the user query is analyzed based on a plurality of predefined parameters to determine sufficiency of information comprised in the user query. The received user query identifies relevant sources of the structured data, the unstructured data or the semi-structured data storage repositories. The user query is processed using a fine grain approach, where a dictionary of one or more keywords with weights are created through the domain ontology builder from the one or more knowledge articles. Furthermore, an appropriate contextual information related to the user query is extracted using the fine grain approach, based on the knowledge articles associated with the trained knowledge base comprising information required by the user query extracted from the knowledge articles.

Abstract: Systems and methods are provided for managing electronic tokens associated with an account. A system may include a memory storing instructions and account information associated with an account, and a processor configured to executed the stored instructions to: access information associated with one or more electronic tokens associated with the account, wherein the information includes one or more token settings, receive, via a network, information for a transaction request including a first token; analyze the received information to determine whether at least one rule in the one or more token settings is violated, responsive to a determination that at least one rule is violated, transmit an indication that the transaction request is denied, and responsive to a determination that no rules are violated, detokenize the transaction request.

Abstract: Computer vision systems and methods for end-to end training of neural networks are provided. The system generates a fixed point algorithm for dual-decomposition of a maximum-a-posteriori inference problem and trains the convolutional neural network and a conditional random field with the fixed point algorithm and a plurality of images of a dataset to learn to perform semantic image segmentation. The system can segment an attribute of an image of the dataset by the trained neural network and the conditional random field.

Abstract: An optically detectable antiballistic plate, and a method of producing it are disclosed. The antiballistic plate includes a core of a ceramic plate, coated with a transparent fibre-reinforced surface composite layer of plastic matrix and reinforcement fibre. Cracks visible to the human eye in daylight will occur, in the event of damage to the ceramic plate.

Abstract: Methods of treating and preventing metabolic disease through inhibiting interleukin 11 (IL-11)-mediated signalling are disclosed, as well as agents for use in such methods.

Abstract: Cyanine fluorophores including a nine-carbon polymethine bridge are disclosed. The cyanine fluorophores have absorbance and/or emission maxima in the near-infrared (NIR) and short-wave infrared (SWIR) wavelength ranges. Methods of making and using the cyanine fluorophores are also disclosed. The compounds are useful in fluorescence imaging, more particularly in cancer treatment.

Abstract: A computer-implemented method performed by an issuer computer comprises receiving an authorization request for a transaction between a cardholder and a merchant using a first account identifier. A repository is searched for a preference set with the issuer by a cardholder to use a second account identifier when at least one transaction is received for the first account identifier. The transaction is authorized using the second account identifier in place of the first account identifier without knowledge by the merchant that the second account identifier was used. An authorization response is then returned to the merchant.

Abstract: Methods and systems for a browser extension application are disclosed. In some embodiments, a browser extension application is configured to receive from a browser extension server a regular expression configured to detect a plurality of fields in a web page and execute the regular expression to detect a transaction field in the web page and automatically populate the transaction field with stored data. The application is further configured to detect an unrecognized field in the web page, provide suggested transaction data, and detecting manual population of the unrecognized field with the suggested transaction data. The application is further configured to providing to the browser extension server an indication of the unrecognized field and receive from the browser extension server an updated regular expression configured to detect the unrecognized field in the web page.

Abstract: The present disclosure provides devices, systems and computer-readable media for identifying object characteristics using a machine learning model trained to de-emphasize brightness values. The machine learning model can be trained using modified training data. Modifying the training data can include converting the training data from an original color space into a color space having a brightness channel. The values of the brightness channel for the training data can then be modified. After the values of the brightness channel are modified, the training data can be converted back into the original color space and used to train the machine learning model. A detection device can be configured with the machine learning model and used to identify object characteristics.

Abstract: Computer vision systems and methods for object detection with reinforcement learning are provided. The system includes a reinforcement learning agent configured to detect an object pertaining to a target object class and a plurality of objects pertaining to different target object classes, such that the reinforcement learning agent determines a bounding box for each of the detected of objects. The system first sets parameters of the reinforcement learning agent. The system then detects an object and/or objects in an image based on the set parameters. Finally, the system determines a bounding box and/or bounding boxes for each of the detected objects.

Abstract: Various embodiments are generally directed to techniques to enable use of a transaction card of a user device to perform transactions. Embodiments may include method, techniques, and circuitry to cause a transaction card to extend from a user device to be used to perform the transactions. Further, the transaction card may retract into the housing the user device when not in use.

Abstract: Conventionally material selection of composite structure is performed by using discrete materials available in manufacturer's databases. Thus, tailorable nature of composite materials is not exploited to achieve superior performance. Further, conventional methods perform material selection and sizing separately and do not take into account the influence of sizing on material selection and vice versa. Embodiments of the present disclosure provide systems and methods for multiscale material selection for designing of mechanical systems that incorporates tailoring of material microstructures and sizing to achieve improved solutions. The microstructure properties are obtained by using analytical and computational models for various composite materials. These models compute structure-property relations between bulk material properties and their micro-structural constituents.

Abstract: Disclosed are methods in which measurements are obtained from a plurality of sensors secured in spaced relation to one another across at least a portion of the depth of reservoir of some form in order to identify one or more characteristics of the fluids within the reservoir. The sensors are used to monitor ambient forces exerted by fluids within the tank proximate each sensor. An example mechanism for obtaining the measurements includes a plurality of sensors, such as strain gauges, supported on a structure that supports the sensors in fixed relation to one another, and can, in some examples, support the sensors in a known relation relative to boundaries of the reservoir.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for automatically testing and applying codes to electronic shopping carts. For instance, the method may include: monitoring a browsing session of a user on an e-commerce website; determining whether a trigger condition is present based on the monitoring; when the determining determines the trigger condition is present, automatically performing a code test process for a first set of codes to obtain a first test result, the first set of codes being one or more codes among a plurality of codes for the e-commerce website; and upon completion of the code test process for the first set of codes, displaying a first menu, the first menu including information corresponding to the first test result.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for targeting bid and position for a keyword. For instance, the method may include obtaining information about the keyword, the information about the keyword including observations of value with respect to position for the keyword. The method may further include applying a Gaussian Process Model on the observations to obtain a prediction function and associated uncertainties, the prediction function and the associated uncertainties relating positions to expected values; applying a Thompson sampling reinforcement learning model on the expected values and the positions to obtain a target position; and applying a bid model to the target position to obtain bid information for the keyword. The method may also include transmitting a bid message to a search engine, the bid message including the bid information.