Smart visual display
    1.
    发明授权

    公开(公告)号:US12282694B2

    公开(公告)日:2025-04-22

    申请号:US17769475

    申请日:2020-10-21

    Inventor: Michael Shur

    Abstract: One embodiment provides a computing device. The computing device is configured to couple to a display. The computing device includes an ambient detection module configured to detect a characteristic of ambient light relative to at least a portion of a display area of the display. The computing device further includes a displayed image optimization module configured to optimize a feature of at least a portion of a displayed image based, at least in part, on the characteristic of the ambient light.

    TUNABLE HYDROPHILIC CROSSLINKED POLYMER MEMBRANES FOR SEPARATION APPLICATIONS

    公开(公告)号:US20250091017A1

    公开(公告)日:2025-03-20

    申请号:US18934768

    申请日:2024-11-01

    Abstract: A membrane for separating organic solvents such as methanol and toluene is provided. A plurality methacrylate polymer brushes, e.g., composed of hydroxyethyl methacrylate (HEMA) monomers or aminoethyl methacrylate (AEMA) monomers, are grafted from a crosslinked polyimide support using Single Electron Transfer-Living Radical Polymerization (SET-LRP). The polymer brushes themselves are also crosslinked by ethylene glycol dimethacrylate (EGDMA), triethylene glycol dimethacryalte (TEGDMA) trimesic acid, and/or itaconic acid. These hydrophilic polymeric brush membranes demonstrate pore stiffening and yet also opening, obtaining high selectivity at reasonable permeability and reduced energy requirements for commercially relevant separations, e.g., methanol/toluene. The addition of the crosslinker prevents loss of selectivity as a result of imparting increased rigidity, enabling the membranes to be operated at higher operating pressures for increased throughput. These membranes would be beneficial for use in pharmaceutical, chemical, petroleum, food, and biotechnology industries, e.g., in the manufacture of polymethacrylic acid, the manufacture of paraxylene, etc.

    FORMATION OF THERMOPLASTIC COMPOSITE REBAR

    公开(公告)号:US20240383214A1

    公开(公告)日:2024-11-21

    申请号:US18691919

    申请日:2022-09-14

    Abstract: A system for producing rebar includes a pultruding machine configured to receive a flexible rebar preform. The flexible rebar preform includes at least one reinforcement filament, and at least one thermoplastic filament. The at least one reinforcement filament, and the at least one thermoplastic filament are arranged in a selected distribution across a cross-section of the preform. The pultruding machine includes a pulling apparatus, a rebar cutting apparatus, and a bending apparatus. The pultruding machine is configured to heat the flexible rebar preform to a first temperature. The first temperature is greater than or equal to a melt temperature of the thermoplastic filaments. The pulling apparatus is configured to pull the flexible rebar preform through a pultrusion die to form the rebar. The rebar cutting apparatus is configured to cut the rebar at a prespecified length. The bending apparatus is configured to bend the cut rebar to a prespecified bend geometry.

    SYSTEMS FOR FACILE VIRAL CLEARANCE VALIDATION THROUGH THE DEVELOPMENT OF FLUORESCENT VIRAL SURROGATES

    公开(公告)号:US20240295495A1

    公开(公告)日:2024-09-05

    申请号:US18388130

    申请日:2023-11-08

    Abstract: Evaluating viral clearance of a sample including a drug of interest is performed via modified viral surrogate nanoparticles that mimic a target live virus equivalent. The nanoparticles include fluorescent materials and a viral surface-mimicking layer that physicochemically mimics the external surface of the target live virus equivalent. One or more capsid proteins of the live virus are bound to the nanoparticle core (for non-enveloped viruses) or incorporated into a lipid bilayer (for enveloped viruses). A process solution is formed by adding the nanoparticles to the sample. The solution is subjected to purification steps to eliminate impurities, forming a product process solution. The product process solution is filtered through a dead-end flow nanofiltration membrane separator configured to bind the fluorescent nanoparticles. A load process solution is filtered as well. Baseline decomposition of the fluorescence intensity measurements from the separate membranes can, upon application of a standard curve indicate the relative nanoparticle concentration and thus the efficacy of the purification steps against the target live virus equivalent.

    STATIONARY MULTI-SOURCE AI-POWERED REAL-TIME TOMOGRAPHY (SMART)

    公开(公告)号:US20240070938A1

    公开(公告)日:2024-02-29

    申请号:US18238605

    申请日:2023-08-28

    Abstract: In one embodiment, there is provided a dynamic multi-source image reconstruction apparatus. The apparatus includes a first reconstruction stage, a second reconstruction stage, and a refinement stage. The first reconstruction stage is configured to receive an input data set including a group of data frames. Each data frame corresponds to a respective time step. Each data frame includes a number of projection data sets. Each projection data set corresponds to a respective source-detector pair of a stationary multi-source tomography system. The first reconstruction stage is further configured to reconstruct a first intermediate image based, at least in part, on the group of data frames. The second reconstruction stage is configured to receive a selected data frame and to reconstruct a second intermediate image with a constraint of the first intermediate image as prior. The refinement stage is configured to refine the second intermediate image to produce a three-dimensional output image.

    METHODS OF PREDICTING BONE FRACTURE RISK IN TYPE 2 DIABETES PATIENTS

    公开(公告)号:US20240047071A1

    公开(公告)日:2024-02-08

    申请号:US18216679

    申请日:2023-06-30

    CPC classification number: G16H50/30 A61B5/7275 A61B5/4504 A61B5/14532

    Abstract: A method of predicting bone fracture risk in a type 2 diabetes (“T2D”) patient includes: obtaining a plurality of averaged glycated hemoglobin (“HbA1c”) values for a plurality of T2D subjects over an observational period; binning the plurality of averaged HbA1c values into two predetermined categories; obtaining a plurality of total fracture incidences for the plurality of T2D subjects over a follow-up period; performing a plurality of linear regression model correlations between the binned HbA1c values and the plurality of total fracture incidences to determine a bone fracture rate prediction model; obtaining a measurement of an HbA1c value of the T2D patient; and analyzing the HbA1c value of the T2D patient with the bone fracture rate prediction model to determine the T2D patient's risk of bone fracture for a future period.

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