Abstract: Various embodiments of a system and associated method for detecting and classifying faults in a photovoltaic array using graph-based signal processing.

Abstract: Polymer composite photonic crystal materials are disclosed as coatings with topcoats having high reflection (>30%) in a specific range of the electromagnetic spectrum, such as ultraviolet (<400 nm), visible (Vis, 400 nm-700 nm), or near-infrared radiation range (NIR, 700-2000 nm), and optionally a relatively low reflection (<20% reflection) in a second, different range of the electromagnetic spectrum. Surprisingly, it was found that through a multi-layer coating approach, the optical properties of polymer composite photonic crystal films can be selectively modified from a variety of different coating methods, including spray deposition.

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.

Abstract: Systems and methods are provided for fault detection in a component of a machine during operation. Vibration data is acquired based on a vibration signal output from a sensor associated with the component. The vibration data is analyzed with at least two machine learning models to predict a condition of the component.

Abstract: Embodiments of a system for dynamic reconfiguration of cache are disclosed. Accordingly, the system includes a plurality of processors and a plurality of memory modules executed by the plurality of processors. The system also includes a dynamic reconfigurable cache comprising of a multi-level cache implementing a combination of an L1 cache, an L2 cache, and an L3 cache. The one or more of the L1 cache, the L2 cache, and the L3 cache are dynamically reconfigurable to one or more sizes based at least in part on an application data size associated with an application being executed by the plurality of processors. In an embodiment, the system includes a reconfiguration control and distribution module configured to perform dynamic reconfiguration of the dynamic reconfigurable cache based on the application data size.

Abstract: A multilayer protective covering can protect a surface from lightning strikes. The covering includes a bottom conductive layer affixed to the surface and having a first opening that is aligned with a grounding connection so that the grounding connection is exposed through first opening and not in contact with the bottom conductive layer. The covering also includes a dielectric layer affixed to the bottom conductive layer and having second opening aligned with the grounding connection so that the grounding connection is exposed through second opening and not in contact with the dielectric layer. The covering additionally includes a top conductive layer affixed to the dielectric layer and covering the grounding connection. The top conductive layer directs electrical current from a lightning strike on the surface to the grounding connection.

Abstract: A rechargeable lithium-ion cell has a cell capacity and includes a positive electrode having a recharged potential and a negative electrode. The rechargeable lithium-ion cell also includes a charge-carrying electrolyte. The charge-carrying electrolyte includes a charge-carrying medium and a lithium salt. The rechargeable lithium-ion cell also includes a redox shuttle having the following structure Formula (I).

Abstract: The present disclosure relates to Silstatin compounds, pharmaceutical compositions comprising such compounds, kits, and methods for using such compounds or pharmaceutical compositions.

Abstract: Disclosed are various embodiments for realizing cross-domain (wireless radio and wired core networks) and cross-layer (physical, media access control, and network) functionalities for multi-service converged 5G and beyond (5G&B) infrastructure. A virtual network can be determined that slices across domains and layers of a communication network. Data flow rates and routing solutions for the virtual network can be determined. Examples of controlling resources of a software-defined network (SDN) to achieve the data flow rates and the routing solutions are provided.

Abstract: Computer architecture methods and system for providing novel inhomogeneous computer interconnects and interconnect topology framework for both classical and quantum computers are provided that result in enhanced computer functionality and efficiency. The architecture and methodologies include random small world (SW) interconnects or bonds and/or SW interconnects or bonds with constrained randomness.

Abstract: A data-driven nonuniform subsampling approach for computation-free on-sensor data dimensionality is provided, referred to herein as selective sensing. Designing an on-sensor data dimensionality reduction scheme for efficient signal sensing has long been a challenging task. Compressive sensing is a generic solution for sensing signals in a compressed format. Although compressive sensing can be directly implemented in the analog domain for specific types of signals, many application scenarios require implementation of data compression in the digital domain. However, the computational complexity involved in digital-domain compressive sensing limits its practical application, especially in resource-constrained sensor devices or high-data-rate sensor devices. Embodiments described herein provide a selective sensing framework that adopts a novel concept of data-driven nonuniform subsampling to reduce the dimensionality of acquired signals while retaining the information of interest in a computation-free fashion.

Abstract: Various embodiments of a system and associated method for generating and training a name-entity recognition model for automatic dataset labeling and corpus generation for cybersecurity related entities are disclosed.

Abstract: A circular polarization filter of a chiral metasurface structure is disclosed including a substrate having a nanograting pattern extending from the substrate, a dielectric layer formed directly on the nanograting pattern, and a plasmonic structure in direct contact with the dielectric layer, where the plasmonic structure may be oriented at a nonzero angle with respect to the nanograting pattern. An integrated polarization filter array is also disclosed including include a linear polarization filter, and a circular polarization filter. Methods of detecting full-stokes polarization using an integrated polarization filter array having both linear and circular polarization filters made from chiral metasurface structures is disclosed. Methods of using a Mueller matrix to evaluate polarization response of any optical device or system is also disclosed.

Abstract: Methods are provided for reducing type 2 cytokine-mediated inflammation, for example by reducing IL-5 and Il-13 activity, using native and variant neuromedin B (Nmb) peptides or coding sequences. Such methods can be used to treat an inflammatory disorder, such as asthma, COPD or an allergic reaction. Also provided are modified Nmb peptides.

Abstract: Various embodiments of a system and method for pruning binary neural networks by analyzing weight flipping frequency and pruning the binary neural network based on the weight flipping frequency associated with each channel of the binary neural network are disclosed herein.

Abstract: A solar concentrator device is provided. The solar concentrator device includes a waveguide having a luminophore and a first refractive index; a photovoltaic component operably coupled to the waveguide; and a film disposed onto a surface of the waveguide, the film having a second refractive index. The second refractive index of the film is lower than the first refractive index of the waveguide. The waveguide and the film are visibly transparent.

Abstract: Therapeutics and methods of treating COVID-19 in a patient in need thereof comprising administering a pharmaceutical composition containing a pharmaceutically effective dose of a therapeutic, wherein the therapeutic contains both an ACE2 externalizer and one or more ACE2 internalization preventors. Methods of treatment and pharmaceutical compositions comprising an ACE2 externalizer and one or more ACE2 internalization preventors.

Abstract: A mouthwash for fluorescence endoscopic dental imaging includes at least one fluorescent dye and a liquid base. A method for fluorescent endoscopic dental imaging includes orally administering a mouthwash to a subject; waiting a predetermined period of time; removing excess mouthwash from the subject; illuminating the subject with visible or near-infrared light; and capturing fluorescent light from the subject to create an image.

Abstract: The invention involves producing discontinuous, flake-shaped particles of a soft magnetic material, coating the flake-shaped particles with an electrically insulating coating, and consolidating the coated flaked-shaped particles to form a soft magnetic bulk shape. The consolidated bulk shape can comprise a layer or a simple or complex 3D magnet part shape, which has a consolidated layered microstructure that includes laminated soft magnetic regions that are substantially encapsulated by an electrical insulating layer to increase the resistivity of soft magnetic material, especially when used in silicon iron magnet parts.

Abstract: A static random-access memory (SRAM) system includes SRAM cells configured to perform exclusive NOR operations between a stored binary weight value and a provided binary input value. In some embodiments, SRAM cells are configured to perform exclusive NOR operations between a stored binary weight value and a provided ternary input value. The SRAM cells are suitable for the efficient implementation of emerging deep neural network technologies such as binary neural networks and XNOR neural networks.