Abstract: The melting temperature of double-stranded polynucleotides is used to create temperature-sensitive tags for tracking the exposure of food items to high temperatures. Once a food item is exposed to a temperature that exceeds the melting temperature of the double-stranded polynucleotides, the two strands melt and then reanneal in a different conformation. This change in conformation can be detected by fluorophores attached to one of the polynucleotide strands. The double-stranded polynucleotides may be applied directly to food items as an edible tag. Alternatively, a tag that includes a substrate with bound polynucleotides may be attached like a sticker to the food items. This provides an economical and small device for determining if individual food items were exposed to temperatures that could negatively affect quality or safety.

Abstract: In an embodiment, there is provided a method for determining a spacecraft instantaneous velocity using starlight. The method includes determining, by a star pairing module, a plurality of star pairs in a selected star field image. The selected star field image includes a plurality of star images. The method includes estimating, by a line of sight estimation module, an apparent bearing direction to each star in at least some of the plurality of star pairs; determining, by the line of sight estimation module, a respective apparent inter-star angle for each star pair of the least some star pairs; and estimating, by a velocity estimation module, a spacecraft velocity to within a total velocity error based, at least in part, on the apparent inter-star angles.

Abstract: Devices, methods, and systems are provided for loading an implantable device into a container. One aspect of the loading system contains a loader element with a loading tunnel that is configured to gradually contract an implantable device into a compressed state of reduced size relative to an expanded state as the implantable device travels through the loading tunnel.

Abstract: Methods, systems, and devices for data management are described. A database for managing one or more subscriptions to a cloud service that provides computing resources may be generated. The database may include multiple tables corresponding to multiple geographic regions. Based on the subscriptions, the tables may be updated to reflect respective computing resource allotments for respective geographic regions. A request to apply a software-as-a-service product to customer data may be received from a geographic region. In response to the request, available computing resources for the geographic region may be identified and a determine of whether to configure the available computing resources for the instantiation of the software-as-a-service product instance may be determined. Based on the determining, an indication of whether the software-as-a-service product instance is initiated may be provided.

Abstract: At least one example embodiment relates to a composite material. In at least one example embodiment, the composite material includes an elastic layer and a support layer. The support layer is adhered to at least a portion of the elastic layer. The support layer extends across at least apportion of a surface of the clastic layer.

Abstract: A wireless-access point includes a first radio to transmit RF signals in a first channel; a second radio to transmit, simultaneously to transmissions of the RF signals by the first radio, RF signals in a second, non-overlapping channel; and a plurality of planar antennas coupled with corresponding first and second radios to receive the RF signals. First and second planar antennas are coupled with the first radio to receive therefrom, in the first channel, a first RF signal and a second RF signal, respectively. The first planar antenna is arranged with its normal along a first direction. The second planar antenna is arranged with its normal along a second, different direction. A third planar antenna is coupled with the second radio to receive therefrom a third RF signal in the second channel, the third planar antenna being arranged with its normal along a third direction.

Abstract: Decoder for decoding a picture from a data stream, configured to check whether a plurality of coding parameters, which are contained in the data stream, relate to a predetermined portion of the picture and control a prediction residual transform mode and a quantization accuracy with respect to the predetermined portion, are indicative of a coding parameter setting corresponding to a lossless prediction residual coding. Responsive to the plurality of coding parameters being indicative of the coding parameter setting corresponding to the lossless prediction residual coding, the decoder is configured to set one or more predetermined coding options relating to one or more tools of the decoder for processing a prediction residual corrected predictive reconstruction with respect to the predetermined portion so that the one or more tools are disabled with respect to the predetermined portion.

Abstract: A fin sealer and method to seal a radially outwardly directed fin of a tubular web structure by directing the fin through a nip between a first and a second fin sealing rollers while communicating heat to the fin through at least one of the fin sealing rollers is provided. The fin sealer is configured to maintain a nominal face-to-face relation between an outer annulus of the first fin sealing roller and an outer annulus of the second fin sealing roller with a flexible connection between a hub element of the second fin sealing roller with the outer annulus of the second fin sealing roller.

Abstract: A system, methods, and computer-readable media are provided herein for real-time “live” identification of connectivity issues with autonomous predictive solution provision via a diagnostic application supported by a machine-learning model. In aspects, live data in a targeted application is captured in an on-going manner and used by the diagnostic application to automatically identify connectivity issues. When connectivity issues are detected, the live data capture is pushed to the model so that the model can make a predictive classification of the error based on geospatial, temporal, and/or geospatial-temporal alignments in the data. Based on the classification, the model predicts a solution and the diagnostic application provides the solution to the user of the targeted application.

Abstract: This disclosure describes particles and techniques for storing oligonucleotides that provide stable, long-term protection yet are also compostable. A core is coated with a layer of oligonucleotides and encapsulated under an outer layer of non-porous, hydrolyzed organosilicon disulfide. The hydrolyzed organosilicon disulfide protects the oligonucleotides from oxidative and thermal damage under typical storage conditions. One suitable organosilicon disulfide is bis(3-triethoxysilylpropyl) disulfide (BTSPD). The oligonucleotides may be retrieved by contacting the particles with a reducing agent that degrades the disulfide bonds in the outer layer. The disulfide bonds enable removal of the protective encapsulation without the use of dangerous chemicals such as hydrogen fluoride. Instead of retrieving the oligonucleotides, the particles may be disposed of in a composting environment. In an implementation, the oligonucleotides are artificially synthesized and encode digital information.

Abstract: A lavatory includes a partition wall movable along a defined path between a deployed position in which the partition wall divides the lavatory into two discrete areas and a stowed position that defines a combined area in place of the two discrete areas. The partition wall translates along the defined path between the deployed position and the stowed position.

Abstract: Disclosed herein is a suture for a surgical procedure that can include a body. The body can comprise an elongate strand. The body can have an aperture therethrough at a first portion of the elongate strand. A second portion of the elongate strand adjacent the first portion can be passed through the first aperture to create a feature along an exterior surface of the body.

Abstract: The present disclosure provides compounds that may be used as ligands in metal-catalyzed reactions, in particular 3,3?-bisilyl biaryl phosphoramidite compounds and processes for preparing the same.

Abstract: At least one example embodiment relates to a composite material. In at least one example embodiment, the composite material includes an elastic layer and a support layer. The support layer is adhered to at least a portion of the elastic layer. The support layer extends across at least apportion of a surface of the elastic layer.

Abstract: Decoder for decoding a picture from a data stream, configured to check whether a plurality of coding parameters, which are contained in the data stream, relate to a predetermined portion of the picture and control a prediction residual transform mode and a quantization accuracy with respect to the predetermined portion, are indicative of a coding parameter setting corresponding to a lossless prediction residual coding. Responsive to the plurality of coding parameters being indicative of the coding parameter setting corresponding to the lossless prediction residual coding, the decoder is configured to set one or more predetermined coding options relating to one or more tools of the decoder for processing a prediction residual corrected predictive reconstruction with respect to the predetermined portion so that the one or more tools are disabled with respect to the predetermined portion.

Abstract: Methods, media, and systems are provided for centralized and decentralized protection of sensitive data. Sensitive data, for example, may include personal user data or data protected by data privacy regulations. A router may receive data from a user device. In an embodiment, the data may be received from an application that is managed by a Kubernetes cluster. In some embodiments, the application provides an active user interface that includes one or more sensitive fields for entering sensitive data. A machine learning model may be used to detect that the data being received by the router includes sensitive data. Additionally, the machine learning model may detect an entry of sensitive data at one or more sensitive fields on one or more active user interfaces. The machine learning model may be trained using a plurality of application programming interface requests. A masking technique may be applied to the sensitive data.

Abstract: Examples are disclosed that relate to using natural language processing (NLP) to determine a recipe for a chemical synthesis described in a text to create a life cycle inventory (LCI). One example provides a method comprising receiving an input of a text from a publication comprising a description of a chemical product, and analyzing the text using NLP to determine a recipe for the chemical synthesis, the recipe comprising and action and action metadata, the action metadata comprising a reactant. The method further discloses obtaining LCI information for the reactant, determining an energy utilized for the action, and creating an estimate of an environmental impact for the product.

Abstract: A portable urine collection system (200) may include a urine collection device, a conduit (217) in fluid communication with the urine collection device (212), a urine collection container (214) having an interior region, a pump (216), and a container support (202). The pump is in fluid communication with the urine collection container and is configured to pull a vacuum on the interior region of the urine collection container effective to draw urine from the urine collection device through the conduit into the urine collection container. The container support is configured to detachably secure to a wheelchair and support at least the urine collection container.

Abstract: The application is directed to methods and devices for estimating corrosion of a material. One of the methods includes obtaining data regarding corrosion. The data is obtained from various sources, such as but not limited to sensors and observational data. The data is then trained to provide for a more complete data set. The trained data is then used to estimate the expected amount of corrosion for a given situation.