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.

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

Abstract: A light emitting device includes a transparent organic light emitting device and a quarter-wave plate. The transparent organic light emitting device includes a chiral complex emitter and produces circularly polarized light, and the quarter-wave plate converts the circularly polarized light into linearly polarized light. Generating linearly polarized light includes generating circularly polarized light via a transparent organic light emitting device including a chiral complex emitter, and passing the circularly polarized light through a quarter-wave plate to yield linearly polarized light.

Abstract: A safety-guaranteed control system for automated vehicles (AVs) considers both vehicle and tire stabilities on varying road conditions. Conventional AV control systems may not be sufficient to adequately handle control-dependent and time-varying safety constraints. The system integrates control-dependent barrier functions (CDBF) and time-varying CBFs (TCBFs) with control Lyapunov functions (CLFs) in a quadratic programming problem.

Abstract: A system and method for the automatic stimulation of a vagus nerve for post-stroke rehabilitation is disclosed. The system includes an application subsystem having an electrode positioned to stimulate the vagus nerve and coupled to a user outside of a surgical setting. The system also includes a waveform generator communicatively coupled to the electrode, and a triggering subsystem including a receiver configured to detect the presence of a tag. The triggering subsystem is communicatively coupled to waveform generator and is configured to automatically trigger the stimulation of the vagus nerve upon detecting the presence of the tag. The tag is located proximate a rehabilitation context such that the tag is detected when the user is using the rehabilitation context, resulting in the vagus nerve of the user being automatically stimulated by the electrode in response to the user's post-stroke rehabilitation training.

Abstract: A zwitterionic polysulfone formed from an allyl-containing monomer, a phenol-containing monomer, and an aryl-halide-containing monomer. The zwitterionic polysulfone may be incorporated into a desalination membrane.

Abstract: A system and method for modulating optogenetic vagus neurons in a noninvasive and transcutaneous manner is disclosed. The system and method comprises a two-dimensional array of organic light emitting diodes (OLEDs), a voltage-generating unit, a control unit, and a feedback loop. The array is placed on a subject's outer ear. Because the array is flexible, it can be closely placed on the skin of the outer ear. The array can deliver optical therapy and monitor heart rate variability (HRV) of the subject simultaneously, and the pixels of the array can be individually addressed. The voltage-generating unit generates pulsed voltage to the OLEDs. The control unit is connected to the array and controls the array and therapeutic patterns. The feedback loop uses the HRV to identify the therapeutic patterns.

Abstract: Described herein are means for generation of self-taught generic models, named Models Genesis, without requiring any manual labeling, in which the Models Genesis are then utilized for the processing of medical imaging. For instance, an exemplary system is specially configured for learning general-purpose image representations by recovering original sub-volumes of 3D input images from transformed 3D images. Such a system operates by cropping a sub-volume from each 3D input image; performing image transformations upon each of the sub-volumes cropped from the 3D input images to generate transformed sub-volumes; and training an encoder-decoder architecture with skip connections to learn a common image representation by restoring the original sub-volumes cropped from the 3D input images from the transformed sub-volumes generated via the image transformations.

Abstract: A method estimates an intention of a lead vehicle by an ego vehicle. The method includes: (a) receiving, from at least one of a first plurality of sensors coupled to the ego vehicle, information associated with a parametric variable, (b) selecting a partition of an operating region of the parametric variable based on the parametric variable information, wherein the operating region includes a predetermined range of values for the parametric variable, wherein the partition includes a subset of the predetermined range of values and being associated with a predetermined ego vehicle input, and wherein the predetermined vehicle input includes at least one value for a parameter corresponding to dynamics of the ego vehicle, and (c) causing a vehicle control system of the ego vehicle to perform a vehicle maneuver based on the predetermined ego vehicle input.

Abstract: Disclosed are compositions for generating an immune response against human immunodeficiency virus (HIV) and their methods of uses.

Abstract: A method includes simulating diffraction in a transmission geometry of relativistic electron bunches from a crystallographic structure of a crystal thereby simulating diffraction of the relativistic electron bunches into a plurality of Bragg peaks. The method includes selecting a range of angles between a direction of propagation of the relativistic electron bunches and a normal direction of crystal including an angle at which a diffraction portion is maximized. The method includes sequentially accelerating a plurality of physical electron bunches to relativistic energies toward a physical crystal having the crystallographic structure and diffracting the plurality of physical electron bunches off the physical crystal at different angles and measuring the diffraction portion into the respective Bragg peak at the different angles. The method includes selecting a final angle based on the measured diffraction portion into the respective Bragg peak at the different angles and generating a pulse of light.

Abstract: The present disclosure provides devices, systems, and methods related to sequencing a biopolymer. In particular, the present disclosure provides methods of obtaining a bioelectronic signature based on current fluctuations that correspond to the activity of an enzyme-of-interest. As described herein, certain aspects of the bioelectronic signature can be used to determine the sequence of a biopolymer.

Abstract: Described herein are means for training a deep model to learn contrastive representations embedded within part-whole semantics via a self-supervised learning framework, in which the trained deep models are then utilized for the processing of medical imaging. For instance, an exemplary system is specifically configured for performing a random cropping operation to crop a 3D cube from each of a plurality of medical images received at the system as input; performing a resize operation of the cropped 3D cubes; performing an image reconstruction operation of the resized and cropped 3D cubes to predict the resized whole image represented by the original medical images received; and generating a reconstructed image which is analyzed for reconstruction loss against the original image representing a known ground truth image to the reconstruction loss function. Other related embodiments are disclosed.

Abstract: Methods for screening of affinity reagents for many target proteins of interest simultaneously. Arrayed targets (e.g., peptide, protein, RNA, cell, etc.) are used in affinity selection experiments to reduce the amount of target needed and to improve the throughput of discovering recombinant affinity reagents to a large collection of targets.

Abstract: A computer-implemented framework and/or system for cyberbullying detection is disclosed. The system includes two main components: (1) A representation learning network that encodes the social media session by exploiting multi-modal features, e.g., text, network, and time; and (2) a multi-task learning network that simultaneously fits the comment inter-arrival times and estimates the bullying likelihood based on a Gaussian Mixture Model. The system jointly optimizes the parameters of both components to overcome the shortcomings of decoupled training. The system includes an unsupervised cyberbullying detection model that not only experimentally outperforms the state-of-the-art unsupervised models, but also achieves competitive performance compared to supervised models.

Abstract: Various embodiments of a system and associated method for anonymization of text without losing semantic utility of text by extracting a latent embedding representation of content with respect to a given task and by learning an optimal strategy for text embedding manipulation to satisfy both privacy and utility requirements are disclosed herein. In particular, the system balances private attribute obfuscation with retained semantic utility.

Abstract: A system includes a Bayesian Spatiotemporal Graph Transformer (B-STAR) architecture that models spatial and temporal relationship of multiple agents under uncertainties. The system enables Multi-Agent Trajectory Prediction for safety-critical engineering applications, (e.g., autonomous driving and flight systems) and considers the impact of various sources, such as environmental conditions, pilot/controller behaviors, and potential conflicts with nearby aircraft. It is shown that B-STAR achieves state-of-the-art performance on the ETH/UCY pedestrian dataset with UQ competence.

Abstract: Compositions and methods for genetically modifying at least one nucleic acid sequence of interest in a polyploid organism.

Abstract: Provided herein are synthetic nucleic acid molecules and methods of using such synthetic nucleic acid molecules for strong repression of target gene expression. In particular, provided herein are methods for altering expression of a protein in a cell, where the method comprises introducing into a cell a protein coding sequence operably linked to a near-threshold translational repressor having first and second trigger recognition sequences that are fully or partially complementary to a repressing trigger RNA; and introducing into a cell the repressing trigger RNA.

Abstract: A wound dressing includes: a structural material formed into a dressing; at least one immunomodulatory agent associated with the dressing; and a growth factor associated with the dressing. A wound dressing kit includes: a structural material formed into a wound dressing; an immunomodulatory agent; and a growth factor composition, wherein the structural material contains the immunomodulatory agent and/or the immunomodulatory agent in a separate composition. A method of treating a wound in a tissue includes: applying an immunomodulatory agent to the wound; applying a wound dressing to the wound; and allowing the wound to heal with the immunomodulatory agent and wound dressing. The application of a growth factor can be before, during and/or after applying the wound dressing to the wound.