Abstract: Isolated or recombinant EphA5 or GRP78 targeting antibodies are provided. In some cases, antibodies of the embodiments can be used for the detection, diagnosis and/or therapeutic treatment of human diseases, such as cancer. A method of rapidly identifying antibodies or antibody fragments for the treatment of cancer using a combination of in vitro and in vivo methodologies is also provided.
Type:
Grant
Filed:
October 18, 2022
Date of Patent:
December 17, 2024
Assignee:
RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
Inventors:
Renata Pasqualini, Wadih Arap, Fernanda Iamassaki Staquicini, Fortunato Ferrara, Sara D'Angelo, Andrew R. M. Bradbury
Abstract: Various embodiments of a system and methods for reasoning about enterprise-related external cyber threats using a rule-leaning approach are disclosed.
Type:
Grant
Filed:
July 25, 2019
Date of Patent:
December 17, 2024
Assignee:
Arizona Board of Regents on Behalf of Arizona State University
Inventors:
Mohammed Almukaynizi, Ericsson Marin, Paulo Shakarian, Gerardo Simari, Eric Nunes
Abstract: Examples of a computer-implemented regularization technique are described and tailor-made for Vision Transformers. Examples can combine two or more input images and swap patches between them to produce a PatchSwap image. The PatchSwap image is then used to train a Vision Transformer to predict the mixing ratio as well as the categories of the original images.
Type:
Application
Filed:
June 10, 2024
Publication date:
December 12, 2024
Applicant:
Arizona Board of Regents on Behalf of Arizona State University
Abstract: Provided herein are methods of detecting a neurological and/or physical condition in a subject. The methods include receiving physical intensity measures and/or stability measures from the subject to produce a subject data set. The methods also include applying a computational model of temporal and spatial data indicative of the neurological and/or physical condition to the subject data set to identify a substantial match between at least a subset of the subject data set and the computational model of temporal and spatial data. Additional methods as well as related systems and computer readable media are also provided.
Type:
Application
Filed:
September 30, 2022
Publication date:
December 12, 2024
Applicant:
ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
Abstract: A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.
Type:
Application
Filed:
August 19, 2024
Publication date:
December 12, 2024
Applicants:
Oregon State University, Georgetown University
Inventors:
Steven R. Reese, Ophir Frieder, Mario Enrique Gomez Fernandez
Abstract: A Polynomial Implicit Neural Representation generator framework (Poly-INR framework) may be trained to generate polynomial implicit neural representations for large diverse training datasets and learn a polynomial order representing the training datasets. The Poly-INR framework may include a mapping network and a synthesis network. The mapping network may map latent code extracted from the plurality of input images of the training dataset into an affine parameters space and generate affine transformation parameters from the affine parameters space. The synthesis network may obtain the affine transformation parameters and pixel coordinate locations from the mapping network and parameterize the affine transformation parameters using the latent code extracted from the plurality of input images of the training dataset as a known distribution.
Type:
Application
Filed:
June 6, 2024
Publication date:
December 12, 2024
Applicant:
Arizona Board of Regents on Behalf of Arizona State University
Abstract: The invention provides a compound of formula (I): or a pharmaceutically acceptable salt thereof, wherein R1 has any of the values described in the specification, as well as compositions comprising a compound of formula (I). The compounds are useful as cytoprotective agents.
Type:
Application
Filed:
September 14, 2021
Publication date:
December 12, 2024
Applicant:
ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
Inventors:
Omar KHDOUR, Sidney HECHT, Jun LIU, Indrajit BANDYOPADHYAY
Abstract: Provided herein are methods of detecting single molecules that include binding single molecules in a sample solution to a first surface of an optically transparent substrate include the optically transparent substrate is free of a metallic coating. In some embodiments, the methods include irradiating the first surface of the substrate with an incident light having an incident angle selected to achieve total internal reflection of the incident light, thereby scattering light from the first surface and from the single molecules bound to the surface in which a wavelength of the incident light is between 10 nm and 350 ?m and the optically transparent substrate has a refractive index at the wavelength of the incident light exceeding that of the sample solution, and collecting an image that captures interference between evanescent light scattered from the single molecules and the first surface. Systems and additional methods are also provided.
Type:
Application
Filed:
September 27, 2022
Publication date:
December 12, 2024
Applicant:
ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
Abstract: Examples of computer-implemented training techniques are described and tailor-made for Vision Transformers (ViTs). Example techniques include training a model (network) for the rotation of images and image patches and training of the model to predict the rotation angles. The model learns to extract both global and local features from an image.
Type:
Application
Filed:
June 10, 2024
Publication date:
December 12, 2024
Applicant:
Arizona Board of Regents on Behalf of Arizona State University
Abstract: An articulating chair and a method of using same, include at least one actuator, a programmable controller, and movable upper back, lower back and seat bottom sections. In another aspect, an articulating wheelchair and a method of using same, include a seat bottom section, a lower frame to which the seat bottom section is coupled, floor-contacting wheels rotatably coupled to the lower frame, an upper back section, a lower back section, a back frame to which the upper back section and the lower back section are movably coupled, electromagnetic actuators coupled to the back sections, a battery mounted to at least one of the frames, and a programmable controller connected to the actuators and the battery.
Type:
Grant
Filed:
June 25, 2024
Date of Patent:
December 10, 2024
Assignee:
Board of Trustees of Michigan State University
Abstract: A single beam plasma or ion source apparatus, including multiple and different power sources, is provided. An aspect of the present apparatus and method employs simultaneous excitation of an ion source by DC and AC, or DC and RF power supplies. Another aspect employs an ion source including multiple magnets and magnetic shunts arranged in a generally E cross-sectional shape.
Type:
Grant
Filed:
September 23, 2021
Date of Patent:
December 10, 2024
Assignee:
Board of Trustees of Michigan State University
Abstract: The invention is directed generally to oligonucleotide compositions for the treatment of DNA repeat expansion diseases. The invention also relates to oligonucleotides directed to subunits of the DNA mismatch repair system.
Type:
Grant
Filed:
June 1, 2020
Date of Patent:
December 10, 2024
Assignee:
Board of Supervisors of Louisiana State University and Agricultural and Mechanical College
Abstract: Disclosed are embodiments of a thin-film photovoltaic technology including a single-junction crystalline silicon solar cell with a photonic-plasmonic back-reflector structure for lightweight, flexible energy conversion applications. The back-reflector enables high absorption for long-wavelength and near-infrared photons via diffraction and light-concentration, implemented by periodic texturing of the bottom-contact layer by nanoimprint lithography. The thin-film crystalline silicon solar cell is implemented in a heterojunction design with amorphous silicon, where plasma enhanced chemical vapor deposition (PECVD) is used for all device layers, including a low-temperature crystalline silicon deposition step. Excimer laser crystallization is used to integrate crystalline and amorphous silicon within a monolithic process, where a thin layer of amorphous silicon is converted to a crystalline silicon seed layer prior to deposition of a crystalline silicon absorber layer via PECVD.
Type:
Grant
Filed:
June 7, 2022
Date of Patent:
December 10, 2024
Assignees:
Pacific Integrated Energy, Inc., Iowa State University Research Foundation, Inc.
Abstract: A print head comprising nested chambers for in-situ reactant formation is disclosed. The print head comprises a first chamber nested within a second chamber. The first chamber comprises a first nozzle, the second chamber comprises a second nozzle. The first nozzle is substantially coaxial with the second nozzle. A susceptor to convert electromagnetic energy to heat is within the first chamber. The susceptor comprises one or more openings extending between the upper portion and the lower portion. The susceptor may be heated by induction heating or by optical heating to vaporize a precursor substance within the first chamber. The vapor may react with a reactive gas flowing through the first chamber or expand through a nozzle into a second chamber where the vapor may react with the reactive gas, forming nanoparticles. Patterned films may be written onto a two-dimensional or three-dimensional surfaces.
Type:
Grant
Filed:
July 26, 2022
Date of Patent:
December 10, 2024
Assignee:
Oregon State University
Inventors:
Chih-hung Chang, Venkata Vinay Krishna Doddapaneni, Yujuan He, Jeffrey Dhas, Brian K. Paul, Somayeh Pasebani, Chuankai Song, Sakineh Abbasi
Abstract: Example coil guns and methods of using coil guns are described herein. An example coil gun includes a first pancake module; a second pancake module, where the first pancake module and the second pancake module are each formed of a winding with an inner superconducting material layer and an outer ordinary conductor layer, where the first pancake module and the second pancake module are physically and/or inductively coupled to propagate a quench of a superconducting state of the first pancake module to the second pancake module.
Type:
Grant
Filed:
November 22, 2022
Date of Patent:
December 10, 2024
Assignee:
The Florida State University Research Foundation, Inc.
Abstract: A method for designing a channel estimation and data detection networks is provided herein. The problem of channel estimation for linear systems has effectively been solved—not the case for non-linear systems. A deep learning framework for channel estimation, data detection, and pilot signal design is described to address the nonlinearity in such systems.
Type:
Grant
Filed:
March 18, 2022
Date of Patent:
December 10, 2024
Assignee:
San Diego State University (SDSU) Foundation
Abstract: Described herein is a cell culture device and methods of use in three-dimensional cell co-cultures and for use in studying paracrine signaling in vitro.
Type:
Grant
Filed:
November 6, 2020
Date of Patent:
December 10, 2024
Assignee:
Rutgers, The State University of New Jersey
Inventors:
Martin L. Yarmush, Anil Shrirao, Rene S. Schloss, Ileana Marrero-Berrios
Abstract: Operations of radiometers may be improved by calculating calibration uncertainties for the radiometer. Initially, operational characteristics for the radiometer, and/or historical calibration parameters for a plurality of previously performed calibration processes using the radiometer may be obtained. Additionally, a calibration uncertainty for the radiometer based on the obtained operational characteristics for the radiometer and the obtained historical calibration parameters may be calculated, and desired, calibration parameters for the radiometer may be identified. The identified desired, calibration parameters may be based on the calculated, calibration uncertainty.
Type:
Grant
Filed:
November 15, 2021
Date of Patent:
December 10, 2024
Assignee:
The Research Foundation for the State University of New York
Abstract: Disclosed are compositions and methods for microneedle patches comprising copolymer designed for glucose triggered insulin delivery. In one aspect, disclosed herein are microneedle patches comprising insulin loaded copolymers; wherein the insulin dissociates from the microneedle in an hyperglycemic environment; wherein the copolymer comprises poly(N-vinylpyrrolidone-co-2-N(dimethylamino)ethyl acrylate-co-3-(acrylamido)phenylboronic acid and methods of their use.