Patents Assigned to The Arizona Board of Regents
  • Publication number: 20240145036
    Abstract: A method of calculating an abundance of an mRNA sequence within a gene comprises storing an index table of the gene in a non-volatile memory, obtaining a short read of the mRNA sequence, generating a set of input fragments from the mRNA sequence, initializing a compatibility table in a volatile memory, for each input fragment in the set of input fragments, searching for an exact match of the input fragment in the index table, calculating a final result from the compatibility table, and calculating an abundance of the mRNA sequence in the gene by aggregating the transcripts compatible with the short read, wherein the calculating step is performed on the same integrated circuit as the non-volatile memory. A system for in-memory calculation of an abundance of an mRNA sequence within a gene is also disclosed.
    Type: Application
    Filed: March 21, 2023
    Publication date: May 2, 2024
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Deliang Fan, Fan Zhang, Shaahin Angizi
  • Publication number: 20240144998
    Abstract: A system for in-memory computing comprises a volatile memory comprising at least a first layered subarray, wherein each subarray comprises a plurality of memory cells, and a plurality of sub-sense amplifiers connected to a read bitline of the first subarray of the memory, configured to compare a measured voltage of the read bitline to at least one threshold and provide at least one binary output corresponding to a logic operation based on whether the voltage of the read bitline is above or below the threshold. A method for in-memory computing is also disclosed.
    Type: Application
    Filed: November 1, 2023
    Publication date: May 2, 2024
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Deliang Fan, Shaahin Angizi
  • Patent number: 11970683
    Abstract: Disclosed herein are methods and systems for membrane carbonation for cultivating microalgae and other microorganisms that utilize a gaseous substrate, as well as to upgrade the quality of mixed-gas streams.
    Type: Grant
    Filed: March 4, 2020
    Date of Patent: April 30, 2024
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Bruce Rittmann, Everett Eustance, Yen-Jung Lai, Justin Flory, Diana Calvo Martinez, Tarun Shesh
  • Patent number: 11974495
    Abstract: Tetradentate platinum and palladium complexes based on biscarbazole and analogues for full color displays and lighting applications.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: April 30, 2024
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Jian Li, Zhi-Qiang Zhu
  • Patent number: 11969401
    Abstract: The disclosure provides methods for treating or limiting development age-related macular degeneration, comprising (a) a GPR143 receptor agonist, including but not limited to L-DOPA, L-DOPA analogues, or a pharmaceutically acceptable salt thereof, and (b) melatonin, a melatonin analogue, or a pharmaceutically acceptable salt thereof, and related compositions.
    Type: Grant
    Filed: January 30, 2020
    Date of Patent: April 30, 2024
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA
    Inventors: Robert Snyder, Brian McKay
  • Patent number: 11973274
    Abstract: A single-switch-per-bit topology for reconfigurable reflective surfaces (RRSs) is provided. Novel multi-bit unit-cell configurations are presented for radio-frequency (RF) RRSs with improved radiation efficiency and compact designs. Embodiments described herein realize a multi-bit RRS using an antenna array with multiple integrated switches at the ports of every antenna element (e.g., one at each port, providing one control bit per switch). By manipulating the states of the switches, the impinging waves on the surface are modulated, leading to beamforming in the desired direction. Some embodiments utilize a single switch-per-bit topology integrating single-pole-single-throw (SPST) switches (e.g., PIN diodes) into the unit-cell design, achieving up to 4 bits of phase quantization with only 4 switches. The exhibited radiation efficiency of the multi-bit RRS is significantly improved compared to lower bit configurations.
    Type: Grant
    Filed: May 18, 2021
    Date of Patent: April 30, 2024
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Panagiotis Theofanopoulos, Georgios Trichopoulos
  • Patent number: 11970521
    Abstract: Peptide analogues of ?-amyloid and methods of using said analogues for neuroprotection are described herein. The ?-amyloid peptide analogues have a sequence that is at least 50% identical to an N-terminal ?-amyloid core fragment. A pharmaceutical composition of the ?-amyloid peptide analogues in a pharmaceutically acceptable carrier can be administered to a subject for neuromodulation. The ?-amyloid peptide analogues, while lacking neurotoxicity, effectively provides for protective activity against ?-amyloid toxicity.
    Type: Grant
    Filed: August 15, 2017
    Date of Patent: April 30, 2024
    Assignees: ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA, UNIVERSITY OF HAWAII
    Inventors: Robert A. Nichols, Kelly Forest, Victor J. Hruby
  • Patent number: 11971410
    Abstract: Provided herein are methods for classifying how a subject having a cancer will respond to immunotherapeutic (IT) therapy based on the subject's immunosignature or frameshift signature. Also provided herein are methods for classifying a subject having a cancer as having a good prognosis or a poor prognosis based on the subject's immunosignature or frameshift signature.
    Type: Grant
    Filed: February 15, 2022
    Date of Patent: April 30, 2024
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventor: Stephen Johnston
  • Publication number: 20240135256
    Abstract: A method of training a machine learning algorithm comprises providing a set of input data, performing transforms on the input data to generate augmented data, to provide transformed base paths into machine learning algorithm encoders, segmenting the augmented data, calculating main base path outputs by applying a weighting to the segmented augmented data, calculating pruning masks from the input and augmented data to apply to the base paths of the machine learning algorithm encoders, the pruning masks having a binary value for each segment in the segmented augmented data, calculating sparse conditional path outputs by performing a computation on the segments of the segmented augmented data, and calculating a final output as a sum of the main base path outputs and the sparse conditional path outputs. A computer-implemented system for learning sparse features of a dataset is also disclosed.
    Type: Application
    Filed: October 24, 2023
    Publication date: April 25, 2024
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Jae-sun Seo, Jian Meng, Li Yang, Deliang Fan
  • Publication number: 20240137040
    Abstract: A low-pass and band-pass delta-sigma (??) analog-to-digital converter (ADC) device for sensor interface is disclosed. The device includes a first stage comprising a low-resolution passive integrator-based noise-shaping successive approximation register (SAR) ADC and a second stage comprising a voltage-controlled oscillator (VCO)-ADC.
    Type: Application
    Filed: October 19, 2023
    Publication date: April 25, 2024
    Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventor: Arindam SANYAL
  • Publication number: 20240133914
    Abstract: The present disclosure provides an optomechanical accelerometer that includes a first membrane having a first susceptibility; a second membrane having a second susceptibility that is greater than the first susceptibility; and at least one support member; wherein: the second membrane is supported above the first membrane by the at least one support member, such that the first and second membranes form at least a portion of an optical cavity.
    Type: Application
    Filed: February 11, 2022
    Publication date: April 25, 2024
    Applicant: Arizona Board of Regents
    Inventors: DALZIEL WILSON, AMAN RAJENDRA AGRAWAL
  • Publication number: 20240135219
    Abstract: A signal comprises a plurality of codewords associated with a set of codewords, each codeword comprising a plurality of symbols associated with a symbol constellation. Processing includes: mapping quantum states associated with symbols of a particular codeword of the signal to a plurality of input qubits, and applying quantum operations to the input qubits according to a quantum circuit for decoding the signal. The quantum operations comprise: controlled unitary multi-qubit operations performed on two or more qubits in a first set of qubits controlled based on two or more qubits in a second set of qubits, an initial quantum measurement performed on an initially measured qubit in the first set of qubits, at least one controlled unitary single-qubit operation performed on a post-measurement state associated with the initially measured qubit, and quantum operations that invert at least a portion of the operations in the plurality of controlled unitary multi-qubit operations.
    Type: Application
    Filed: January 25, 2022
    Publication date: April 25, 2024
    Applicants: Arizona Board of Regents on Behalf of the University of Arizona, Duke University
    Inventors: Narayanan Rengaswamy, Kaushik Seshadreesan, Saikat Guha, Henry Pfister
  • Patent number: 11967663
    Abstract: A multi junction solar cell includes one or more upper cells and a thin-film, polycrystalline, low-bandgap bottom cell. A single-junction solar cell includes a polycrystalline semiconductor thin film, wherein a bandgap of the solar cell is greater than 1.2 eV or less than 1.2 eV, and the solar cell is configured to receive light through two surfaces, such that the bottom cell has bifacial operation.
    Type: Grant
    Filed: June 14, 2021
    Date of Patent: April 23, 2024
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventor: Richard R. King
  • Patent number: 11964384
    Abstract: A curved origami-based metamaterial includes a panel of material having a plurality of curved creases each disposed within a plane of the panel. The panel is configured to be folded along one of the plurality of creases, and the panel is also configured to be bent about an axis disposed outside the plane of the panel. Stiffness manipulation is configured to be achieved in situ by activating a different one of the plurality of curved creases.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: April 23, 2024
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Hanqing Jiang, Zirui Zhai
  • Patent number: 11965269
    Abstract: Described are fibrous materials comprising a plurality of fibers having a longitudinal alignment gradient and/or a longitudinal composition gradient. Also described are methods of preparing the fibrous materials thereof and methods of treating organ or tissue damage with the fibrous materials.
    Type: Grant
    Filed: September 24, 2021
    Date of Patent: April 23, 2024
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Julianne Holloway, Kevin Tindell
  • Publication number: 20240127363
    Abstract: A computing system includes a processor having access to data associated with a plurality of devices of a network. The processor is configured to leverage the data to execute a loss model that estimates cyber risk loss distribution of the network associated with healthcare environment and infrastructure using bond percolation on a mixed random graphs approach.
    Type: Application
    Filed: April 10, 2023
    Publication date: April 18, 2024
    Applicant: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Stefano Chiaradonna, Petar Jevtic, Nicolas Lanchier
  • Patent number: 11957480
    Abstract: Computer-implemented systems and methods for sleep optimization are disclosed. In certain embodiments, the system includes one or more peripheral devices, a network, one or more networked computers, and one or more remote servers. The peripheral devices and/or the networked computers collect one or more types of sleep data, calculate one or more sleep parameters, and transmit said sleep parameters to the one or more remote servers. The remote servers then perform calculations to determine optimal sleep recommendations. The sleep recommendations are then output to one or more networked computers and/or one or more peripheral devices as adjustments to sleep time and sleep duration.
    Type: Grant
    Filed: July 8, 2022
    Date of Patent: April 16, 2024
    Assignees: Arizona Board of Regents on Behalf of the University of Arizona, The Trustees of the University of Pennsylvania
    Inventors: Michael Grandner, Michael Perlis
  • Patent number: 11960815
    Abstract: Various examples are provided related to automated chip design, such as a pareto-optimization framework for automated network-on-chip design. In one example, a method for network-on-chip (NoC) design includes determining network performance for a defined NoC configuration comprising a plurality of n routers interconnected through a plurality of intermediate links; comparing the network performance of the defined NoC configuration to at least one performance objective; and determining, in response to the comparison, a revised NoC configuration based upon iterative optimization of the at least one performance objective through adjustment of link allocation between the plurality of n routers. In another example, a method comprises determining a revised NoC configuration based upon iterative optimization of at least one performance objective through adjustment of a first number of routers to obtain a second number of routers and through adjustment of link allocation between the second number of routers.
    Type: Grant
    Filed: January 3, 2023
    Date of Patent: April 16, 2024
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF THE UNIVERSITY OF ARIZONA
    Inventor: Wolfgang Fink
  • Patent number: 11962127
    Abstract: External cavity laser systems are described that can operate with essentially no mode hopping. One example configuration of the laser system includes a semiconductor laser device, a folded cavity external to the semiconductor laser device, where at the semiconductor laser device is positioned at a fold in the folded cavity. In this configuration, at least one mirror is positioned in the folded cavity to enable sustained propagation of light within the folded cavity, and at least two polarization elements are positioned in the folded external cavity. The polarization elements cause a polarization state of the light that impinges in different directions on each semiconductor laser device that is positioned at a fold to be orthogonal to one another, thus eliminating or substantially reducing mode hopping in the laser output.
    Type: Grant
    Filed: December 19, 2018
    Date of Patent: April 16, 2024
    Assignee: Arizona Board of Regents on Behalf of the University of Arizona
    Inventor: Yushi Kaneda
  • Patent number: 11959905
    Abstract: A single molecule sensing or detecting device includes a first electrode and a second electrode separated from the first electrode by a gap. The first electrode and the second electrode have an opening formed therethrough. At least one of the first electrode and the second electrode is functionalized with a recognition molecule. The recognition molecule has an effective length LI and is configured to selectively bind to a target molecule having an effective length L2. The size of the gap is configured to be greater than L2, but less than or equal to the sum of LI and L2.
    Type: Grant
    Filed: March 3, 2023
    Date of Patent: April 16, 2024
    Assignee: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY
    Inventors: Stuart Lindsay, Peiming Zhang, Yanan Zhao