Abstract: Provided herein are dynamic adaptive scheduling (DAS) systems. In some embodiments, the DAS systems include a first scheduler, a second scheduler that is slower than the first scheduler, and a runtime preselection classifier that is operably connected to the first scheduler and the second scheduler, which runtime preselection classifier is configured to effect selective use of the first scheduler or the second scheduler to perform a given scheduling task. Related systems, computer readable media, and additional methods are also provided.

Abstract: Based on traffic images characteristics, a general pre-processing system and method reduces input size of neural network object recognition models to focus on necessary regions. The system includes a light neural network (binary or low precision; based on configuration) to detect target regions for further processing and applies a deeper model to those specific regions. The present disclosure provides experimentation results on various types of methods, such as conventional convolutional neural networks, transformers, and adaptive models, to show the scalability of the system.

Abstract: A processor is configured to implement a machine learning model that is trained to select transcripts in blood for distinguishing neurodegenerative diseases. The algorithm is developed via machine learning and leverages concepts associated with blood-based changes in mRNA gene expression for differentiating patients of any neurodegenerative disease regardless of the proteins or their post-translational modifications occurring in disease.

Abstract: Synthetic antimicrobial peptides, compositions comprising thereof, and methods of use for modulating one or more symptoms of an infection in a subject are disclosed. In some aspects, the infection is caused by mycobacteria, for example, a nontuberculous mycobacterium such as Mycobacterium abscessus. In other aspects, the infection is caused by Escherichia coli, Pseudomonas aeruginosa, or methicillin-resistant Staphylococcus aureus (MRSA). Also disclosed are methods of identifying synthetic antimicrobial peptides against a pathogen with no known effective treatment using a library of synthetic peptides.

Abstract: Systems and methods are provided for predicting microhardness properties of a weld that defines a weld joint between at least two workpieces. The system includes a processor programmed to: receive temperature data that includes temperature values each attributed to a corresponding one of a plurality of points of the weld at corresponding times during a welding process used to produce the weld, determine peak temperature values and cooling rate values for each of the points of the weld based on the temperature values, predict a three-dimensional (3D) distribution of microhardness values of the weld based on a machine learning method that evaluates the peak temperature values and the cooling rate values, and generate display data based on the 3D distribution of microhardness values.

Abstract: Systems and methods for a wearable “exo-shell” to improve the gait of elderly people during obstacle avoidance tasks are disclosed. With payload and energy expenditure as a main focus of this design, the present system leverages switchable, passive systems, in combination with lightweight materials that minimize additional metabolic costs, while remaining as “transparent” to the user as possible when inactive.

Abstract: A method for increasing the temperature-resiliency of a neural network, the method comprising loading a neural network model into a resistive nonvolatile in-memory-computing chip, training the deep neural network model using a progressive knowledge distillation algorithm as a function of a teacher model, the algorithm comprising injecting, using a clean model as the teacher model, low-temperature noise values into a student model and changing, now using the student model as the teacher model, the low-temperature noises to high-temperature noises, and training the deep neural network model using a batch normalization adaptation algorithm, wherein the batch normalization adaptation algorithm includes training a plurality of batch normalization parameters with respect to a plurality of thermal variations.

Abstract: A consensus-based decentralized multi-robot approach is presented for reconstructing a discrete distribution of features, modeled as an occupancy grid map, that represent information contained in a bounded planar 2D environment, such as visual cues used for navigation or semantic labels associated with object detection. The robots explore the environment according to a random walk modeled by a discrete-time discrete-state (DTDS) Markov chain and estimate the feature distribution from their own measurements and the estimates communicated by neighboring robots, using a distributed Chernoff fusion protocol. Under this decentralized fusion protocol, each robot's feature distribution converges to the ground truth distribution in an almost sure sense.

Abstract: Systems for physical unclonable function (“PUF”) generation, PUF devices, and methods for manufacturing PUF devices. In one implementation, the system includes a plurality of PUF devices and an electronic controller. Each of the plurality of PUF devices include a first electrochemically-inactive electrode, a second electrochemically-inactive electrode, and a layer of silicon suboxide. The layer of silicon suboxide is positioned directly between the first electrochemically-inactive electrode and the second electrochemically-inactive electrode. The electronic controller is communicably coupled to the plurality of PUF devices. The electronic controller is configured to read binary values associated with the plurality of PUF devices.

Abstract: Multi-stage distributed beamforming for distributed mosaic wireless networks is provided. Embodiments described herein present systems, devices, and methods that provide increased range, data rate, and robustness to interference and jamming. A distributed mosaic wireless network includes a transmitter, a receiver, and one or more distributed clusters of radios referred to herein as mosaics or relay mosaics. Each mosaic consists of several distributed, cooperative radio transceivers (e.g., mosaic nodes) that relay a signal sent by the transmitter towards the receiver. In some embodiments, a single-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to the receiver. In some embodiments, a multi-stage beamforming technique is implemented whereby the transmitter sends a signal to a first mosaic, which then relays this signal by beamforming to a second mosaic, which then relays this signal by beamforming to the receiver.

Abstract: Composite material can include a matrix material, a fiber dispersed in the matrix material, and an ultraviolet (UV)-light sensitive mechanophore grafted to a surface of the fiber. A method for making a fiber-reinforced polymer composite can include contacting a fiber in a first solution, rinsing and then drying intermediate fiber, contacting dried fiber in a third solution, rinsing, and then drying the rinsed fiber thereby generating functionalized fiber that is sensitive to ultraviolet light. The functionalized fiber can be combined with a polymer matrix material, cured, and irradiated, thereby generating a fiber-reinforced polymer composite.

Abstract: The instant disclosure is directed to compositions comprising an encapsulated spheroid, and methods of making and using the same. A composition may comprise a spheroid comprising a plurality of cells and aminoglycoside antibiotic-derived hydrogel beads, wherein the spheroid is encapsulated by the aminoglycoside antibiotic-derived hydrogel beads to form an encapsulated spheroid. A method may comprise administering the composition to a subject in need thereof. Another method may comprise administering a compound to the encapsulated spheroid. A method of creating an encapsulated spheroid may comprise coating a surface with an aminoglycoside antibiotic-derived hydrogel, culturing a plurality of cells on the surface, thereby creating a spheroid, and encapsulating the spheroid with a plurality of aminoglycoside antibiotic-derived hydrogel beads.

Abstract: Methods and systems, including those employing machine learning, utilizing one or more algorithms for relating the structure of a molecule in a library to its function are described. Embodiments described herein relate structure to function by considering the covalent structure of the molecule, the components of that structure that are common to many molecules in the library, and the properties of those components as they relate to the function in question. Applications include, for example, enhancement and amplification of the diagnostic and prognostic signals provided by peptide arrays for use in analyzing the profile of antibodies in the blood produced in response to a disease, condition or treatment.

Abstract: Methods for light-induced electroplating of aluminum are disclosed herein. Exemplary methods may comprise preparing an ionic liquid comprising aluminum chloride (AlCl3) and an organic halide, placing the silicon substrate into the ionic liquid, illuminating the silicon substrate, the illumination passing through the ionic liquid, and depositing aluminum onto the silicon substrate via a light-induced electroplating process, wherein the light-induced electroplating process utilizes an applied current that does not exceed a photo-generated current generated by the illumination.

Abstract: Assessing a thermal conductivity of a viscoelastic material in a steady state using a conduction method includes i) allowing a sample of the viscoelastic material to reach thermal equilibrium in a liquid at a first temperature, ii) assessing a heat flow of the sample at the first temperature, iii) repeating i) and ii) at one or more additional temperatures, and iv) assessing the thermal conductivity of the viscoelastic material based on the heat flow of the sample at the first temperature and the one or more additional temperatures, a cross-sectional area of the sample, and a temperature-thickness gradient of the sample at thermal equilibrium.

Abstract: Various embodiments of a system and associated method for generating a valid mapping for a computational loop on a CGRA are disclosed herein. In particular, the method includes generating randomized schedules within particular constraints to explore greater mapping spaces than previous approaches. Further, the system and related method employs a feasibility test to test validity of each schedule such that mappings are only generated from valid schedules.

Abstract: A phosphorescent emitter or delayed fluorescent and phosphorescent emitters represented by Formula I or Formula II, where M is platinum or palladium.

Abstract: Various embodiments of a system and methods for audio source separation via multi-scale feature learning are disclosed.

Abstract: A two-step thermochemical reactor and method are disclosed. The reactor includes a housing and a reactor cavity formed within, and surrounded by, thermal insulation within the housing. The reactor cavity includes at least one unit cell, each cell having an electric heat source and a reactive material. The reactor also includes a feedstock inlet and a product outlet in fluid communication with the reactor cavity. The reactor also includes a reducing configuration, with the inlet being closed and the electric heat source of each unit cell being driven to thermally reduce the reactive material at a first temperature, releasing oxygen into the cavity. The reactor also has a splitting configuration where the reactive material is at a second temperature that is lower than the first, the feedstock inlet open and introducing feedstock gas into the cavity to reoxidize the reactive material and split into a product gas.

Abstract: A system for failure detection tools is disclosed. The system may include at least one user device, an application server, and a failure detection system, each of which may be in communication with one or more of the others via at least one network. The failure detection system may receive first data from a data source, process the first data to generate second data, apply a statistical modeling algorithm to make a prediction relating to the first data or the second data, and communicate data relating to the prediction and/or a trend related to the first data or the second data to the user device for displaying at least a portion of the data relating to the prediction and/or the trend on a display of the user device.