Patents Assigned to University of South Carolina
  • Patent number: 11614410
    Abstract: Structural health monitoring (SHM)/nondestructive evaluation (NDE) exists as a tool in conjunction with manufactured pieces. Presently disclosed subject matter integrates automated video with a structural health monitoring system. In conjunction with bridge monitoring, integration of such two systems automates determination of the effect or correlation of vehicular loading on SHM data from a subject bridge. Such correlations help to understand the sources of structural health monitoring data, particularly acoustic emission data, in bridges and other structures, such as dams and nuclear plants. Automation of the evaluation of bridges and other structures increases accuracy and minimizes risk to workers and the public. Assessing the structural condition of bridges and other structures as presently disclosed also facilitates automated asset management of transportation systems, such as by state departments of transportation and other bridge/structural owners.
    Type: Grant
    Filed: March 18, 2021
    Date of Patent: March 28, 2023
    Assignee: University of South Carolina
    Inventor: Paul Ziehl
  • Publication number: 20230087465
    Abstract: Described herein are systems and methods based on acoustic emission (AE) technology to monitor a concrete structure for a short interval and, based on signals acquired, estimate Alkali-silica reaction (ASR) progression status in the structure remotely and efficiently without halting any serviceability and operational activities of the structure, knowing the ASR progression status of the structure helps determine rehabilitation and future structural safety and serviceability of the structure.
    Type: Application
    Filed: July 8, 2022
    Publication date: March 23, 2023
    Applicant: University of South Carolina
    Inventors: Paul Ziehl, Vafa Soltangharaei
  • Patent number: 11607393
    Abstract: Systems and methods for targeting specific cancer cell subpopulations present in tumor tissue are described. A system can include a first component for specifically targeting cancer stem cells and a second component for specifically targeting differentiated cancer cells. A system can include a drug conjugated to small (e.g., 5-20 nm) nanoparticles, e.g., polyhedral oligomeric silsesquioxane nanoparticles. The small nanoparticles can be preferentially taken up by cancer stem cells via macropinocytosis and can release a toxic payload within the cancer stem cells without triggering the efflux pump. A system can include a second component that targets differentiated cancer cells, e.g., a free drug or a drug encapsulated in nanoparticles.
    Type: Grant
    Filed: December 14, 2020
    Date of Patent: March 21, 2023
    Assignee: University of South Carolina
    Inventor: Esmaiel Jabbari
  • Publication number: 20230081105
    Abstract: Described herein are systems and methods for a type of paradigm-shift nanoparticles functionalized endothelial optical exosomes for vascular malformation treatment, including Port Wine Stain, using exosomes as a drug delivery vehicle in combination with Near-Infrared-mediated laser therapy.
    Type: Application
    Filed: July 15, 2022
    Publication date: March 16, 2023
    Applicant: University of South Carolina
    Inventors: Wenbin Tan, Rong Yin, Li Meng
  • Patent number: 11597737
    Abstract: Disclosed are small molecule PLK inhibitors that can target the polo box domain (PBD). Inhibitors can have an atomic mass of about 1000 Da or less and a general structure of For instance, the inhibitors can include an alkyl benzamido benzoic acid core structure.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: March 7, 2023
    Assignee: University of South Carolina
    Inventors: Campbell McInnes, Sandra Navonne Craig
  • Publication number: 20230068989
    Abstract: Described herein are methods, techniques and systems for a user to conduct authentication via inertial measurement unit data collected by the user's smartphone and video data collected by a drone recording the user operations for mutual authentication, as well as to prevent attacks of the authentication data, wherein correlation can be easily extended to using other information, such as noises, illuminance, GPS, and how the phone flashlight flashes.
    Type: Application
    Filed: June 30, 2022
    Publication date: March 2, 2023
    Applicant: University of South Carolina
    Inventors: Qiang Zeng, Lannan Luo
  • Publication number: 20230066485
    Abstract: Described herein are devices, methods and systems for measuring temperature in Automated Fiber Placement materials without contacting same via an antennae to measure current induced within an electromagnetic coil to accurately measure the temperature of the materials employed in the Automated Fiber Placement process.
    Type: Application
    Filed: August 30, 2022
    Publication date: March 2, 2023
    Applicant: University of South Carolina
    Inventors: Andrew D. Anderson, Christopher Sacco
  • Patent number: 11592358
    Abstract: Described herein are systems and methods for determination of rolling resistance from a sensor or sensors in a tire or tires for application in smart cars to provide feedback to interested parties, such as Departments of Transportation or tire manufacturers.
    Type: Grant
    Filed: November 16, 2020
    Date of Patent: February 28, 2023
    Assignee: University of South Carolina
    Inventor: Paul Ziehl
  • Patent number: 11588526
    Abstract: Described herein are systems, methods and devices for implementing a temperature-aware, multi-antenna scheduler that cools mmWave devices by preventing heat buildup via switching or distributing a data stream to other redundant antennas, allowing for dissipation of heat as well as providing reliable connectivity.
    Type: Grant
    Filed: May 24, 2021
    Date of Patent: February 21, 2023
    Assignee: University of South Carolina
    Inventors: Sanjib Sur, Moh. S. Saadat, Srihari Nelakuditi
  • Publication number: 20230040639
    Abstract: The current disclosure has identified novel developmental, cellular, molecular, and biochemical pathways and developed a unique mouse model which recapitulates age, bicuspid aortic valve-associated, and gender-specific pathological aspects of development and progression of human CAVD, which will be useful in developing novel diagnostic, preventative, and therapeutic strategies for CAVD patients.
    Type: Application
    Filed: October 30, 2020
    Publication date: February 9, 2023
    Applicant: University of South Carolina
    Inventor: Mohamad Azhar
  • Patent number: 11572369
    Abstract: Disclosed herein are bicyclic pyridines, such as thienopyridine, pyrrolopyridine, furopyridine compounds, and methods for treating cancers.
    Type: Grant
    Filed: February 3, 2020
    Date of Patent: February 7, 2023
    Assignees: UNIVERSITY OF SOUTH CAROLINA, SENEX BIOTECHNOLOGY, INC.
    Inventors: Igor B. Roninson, Mengqian Chen, Jing Li, Jiaxin Liang, Li Zhang, Campbell McInnes
  • Publication number: 20230033147
    Abstract: Described herein are new solid oxide fuel cell interconnects and methods for making same that may comprise a novel bilayer construct on an anode substrate to provide a dense microstructure, low area specific resistance, and negligible oxygen permeability to form a bilayer ceramic interconnect that is a strong candidate for next-generation, durable, and low-cost tubular solid oxide fuel cells.
    Type: Application
    Filed: May 26, 2022
    Publication date: February 2, 2023
    Applicant: University of South Carolina
    Inventors: Kevin Huang, Xin Yang
  • Patent number: 11565813
    Abstract: Presently disclosed subject matter integrates a method of using thousands of semi-autonomous unmanned aerial vehicles, herein called drones, to deliver vastly superior amounts of fire retardant over substantially larger and variably-shaped drop patterns. Each drone is able to swap its own batteries with freshly charged batteries and each drone is able to refill its container with water or fire retardant. Once launched, a swarm of drones can perform repeated trips from the water/retardant source to the fire without human involvement other than the high-level tasking of where to drop the retardant. Once a general drop destination and drop pattern shape is designated, the swarm can transport retardant to that location, form itself into the desired drop shape, and deploy retardant. The drone body is designed to be modular so different components can be attached with ease and no special training or knowledge required.
    Type: Grant
    Filed: October 1, 2019
    Date of Patent: January 31, 2023
    Assignee: University of South Carolina
    Inventor: Ron Fulbright
  • Patent number: 11570030
    Abstract: A new layer tailored for Artificial Intelligence-based communication systems to limit the instantaneous peak power for the signals that relies on manipulation of complementary sequences through neural networks. Disclosed is a method for providing non-linear distortion in end-to-end learning communication systems, the communication system comprising a transmitter and a receiver. The method includes mapping transmitted information bits to an input of a first neural network; controlling, by an output of the neural network, parameters of a complementary sequence (CS) encoder, producing an encoded CS; transmitting the encoded CS through an orthogonal frequency division multiplexing (OFDM) signal; processing, by Discrete Fourier Transform (DFT), the encoded CS, to produce a received information signal in a frequency domain; and processing, by a second neural network, the received information signal.
    Type: Grant
    Filed: October 8, 2020
    Date of Patent: January 31, 2023
    Assignee: University of South Carolina
    Inventors: Alphan Sahin, David Matolak
  • Publication number: 20230026154
    Abstract: Described herein is an improved bottle and lid design that eliminates the need for lids on bottles that require unscrewing, snapping, or other exertion to remove and/or replace the lid.
    Type: Application
    Filed: July 12, 2022
    Publication date: January 26, 2023
    Applicant: University of South Carolina
    Inventor: Ron Fulbright
  • Patent number: 11557400
    Abstract: The present disclosure provides systems and methods that include or otherwise leverage a machine-learned brain injury location model to predict locations of brain injury in a patient based on test data associated with the patient, such as, for example, behavioral test data. For example, the machine-learned brain injury location model can be trained on training data associated with a corpus of patients, where the training data includes sets of example test data (e.g., behavioral test data) respectively labeled with ground truth brain injury locations.
    Type: Grant
    Filed: January 5, 2021
    Date of Patent: January 17, 2023
    Assignee: University of South Carolina
    Inventors: Julius Fridriksson, Christopher Rorden
  • Patent number: 11555815
    Abstract: A quartz crystal microbalance coated with functionalized nanoparticles used to detect molecule-nanoparticle interactions to assist with characterization of difficult to predict molecule-nanoparticle interactions for novel ligand chemistries and, particularly, mixed ligand nanoparticles exhibiting different ligand morphologies, in order to quantify nanoparticle-molecule interactions independently from more complex solvation requirements.
    Type: Grant
    Filed: February 7, 2020
    Date of Patent: January 17, 2023
    Assignee: UNIVERSITY OF SOUTH CAROLINA
    Inventors: Morgan Stefik, Zachary Marsh
  • Patent number: 11555047
    Abstract: One-step methods for forming phosphate-based enzyme inhibitors are disclosed. Methods include reacting o-phosphorylethanolamine with an acyl chloride at acidic conditions. Acyl chlorides can be derivatized. The phosphate-based enzyme inhibitors can inhibit enzymes of the pentose phosphate pathway including D-ribose-5-phosphate aldose-ketose isomerase enzymes such as T. cruzi ribose 5-phosphate isomerase type B and D-ribulose-5-phosphate 3-epimerase enzymes. Methods can be used in forming pharmaceutical compositions for use in treatment of disease caused by kinetoplastid parasites including T. cruzi, T. brucei, and Leishmania spp.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: January 17, 2023
    Assignees: University of South Carolina, North Carolina State University
    Inventors: Edward D'Antonio, Joshua Pierce
  • Publication number: 20230001392
    Abstract: Described herein are reusable, mesh-based catalysts with superior mechanical stability and magnetic separability wherein the mesh may be formed in a variety of shapes and can be easily separated from a process stream and in combination with biomass torrefaction, reduces toxic emissions and produce hydrogen gas, which can be burned at the facility to generate heat or electricity.
    Type: Application
    Filed: December 4, 2020
    Publication date: January 5, 2023
    Applicant: University of South Carolina
    Inventors: Jochen Lauterbach, Michael Royko
  • Patent number: 11534132
    Abstract: The present disclosure provides using ultrasound technology and artificial intelligence to enhance MSR assessment by making the assessment more objective, reproducible, and recordable to allow a more precise and/or personalized approach to the medical practice of individual patients via using multiple ultrasound functions and artificial intelligence to improve the accuracy and consistency of assessing reflexes and allowing MSR data to be combined with other patient medical information for improved diagnosis and management of a patient's condition.
    Type: Grant
    Filed: August 24, 2021
    Date of Patent: December 27, 2022
    Assignees: UNIVERSITY OF SOUTH CAROLINA, TEXAS TECH UNIVERSITY SYSTEM
    Inventors: Richard Hoppmann, Jongyeol Kim