Abstract: A clinical or research instrument or apparatus is provided. In another aspect, an apparatus operably conducts microfluidic measurement of metabolic functions in biological samples. A further aspect employs an instrument which includes an enclosed sample chamber having walls of low oxygen permeability and an optically transparent material to allow remote probing or sensing of oxygen.

Abstract: Various embodiments of a system and associated method for evaluating handwashing protocol compliance are disclosed herein. The system considers temporal combinations of segments of a test handwashing routine to recognize components of a compliant handwashing routine within the test handwashing routine. The system determines whether the components of the handwashing routine have been adequately performed and provides actionable feedback to a user to improve adherence to handwashing routine guidelines.

Abstract: A pressure sensitive adhesive composition comprising a product made from: (i) an acetoacetic ester; (ii) a diacrylate; (iii) a crosslinking agent that contains more than two acryloyl groups; and (iv) a catalyst.

Abstract: Embodiments of the present disclosure describe an efficient O(n log n) method that implements the Inverse Chirp Z-Transform (ICZT). This transform is the inverse of the well-known forward Chirp Z-Transform (CZT), which generalizes the fast Fourier transform (FFT) by allowing the sampling points to fall on a logarithmic spiral contour instead of the unit circle. Thus, the ICZT can be viewed as a generalization of the inverse fast Fourier transform (IFFT).

Abstract: An apparatus for voltage sharing of series connected battery modules in a DC microgrid includes a battery management system and a battery module controller that generates, for an mth of N converters connected together to a DC microbus, a droop current ?d,m that includes a converter voltage error signal {tilde over (v)}err,m multiplied by a droop multiplier gd(i). Each converter is a DC/DC converter connected between a battery module, with one or more battery cells, and the DC microbus. The mth converter uses the droop current ?d,m, a common current reference ?all of a battery pack that includes the battery modules and an input current ?m to the mth converter to control switching of the mth converter. The common current reference ?all is from the battery management system. The voltage error signal {tilde over (v)}err,m is based on an output voltage {tilde over (v)}o,m of the mth converter and an average converter output voltage {tilde over (v)}avgeodcmastereodcmastereodcmaster.

Abstract: High impedance fault (HIF) detection and location accuracy is provided. An HIF has random, irregular, and unsymmetrical characteristics, making such a fault difficult to detect in distribution grids via conventional relay measurements with relatively low resolution and accuracy. Embodiments disclosed herein provide a stochastic HIF monitoring and location scheme using high-resolution time-synchronized data in micro phasor measurement units (?-PMUs) for distribution network protection. In particular, a fault detection and location process is systematically designed based on feature selections, semi-supervised learning (SSL), and probabilistic learning.

Abstract: Provided herein are methods of analyzing simulated solvent-mediated molecular interactions. The methods include defining a plurality of three-dimensional (3D) grids of voxels on simulated target molecules solvated with simulated solvent molecules to produce a 3D simulation structure. The simulated solvent molecules include simulated nonionic solvent molecules and simulated ionic solvent molecules. A first 3D grid of the plurality of 3D grids includes a first spatial resolution and is defined on the simulated nonionic solvent molecules. A second 3D grid of the plurality of 3D grids includes a second spatial resolution that differs from the first spatial resolution and is defined on the simulated ionic solvent molecules. Related systems and computer readable media are also provided.

Abstract: Various embodiments of a system and associated method for language-driven gesture understanding are disclosed herein.

Abstract: Various embodiments comprise systems, methods, architectures, mechanisms and apparatus for relay beamforming of mmWave communications in an environment having signal blockage and signal attenuation challenges, such as found in an urban setting. The various embodiments support distributed, relay-assisted beamforming mechanisms that exploit the spatial diversity of mmWave signal propagation, including a resource efficient relay selection scheme designed to optimally enhance QoS in 2-hop Amplify-and-Forward (AF) cooperative networks. Relay selection is implemented in a predictive and distributed manner, with some embodiments also employing predictive schemes to optimally select transmitting relays.

Abstract: IgA-based Fc-folate conjugates as a treatment for cancer are provided. The conjugates utilize only the Fc portion of IgA to target its receptor on neutrophils (Fc?R1) to elicit antibody-dependent cellular-cytotoxicity (ADCC).

Abstract: A method of modelling data, comprising: training an objective function of a linear classifier, based on a set of labeled data, to derive a set of classifier weights; defining a posterior probability distribution on the set of classifier weights of the linear classifier; approximating a marginalized loss function for an autoencoder as a Bregman divergence, based on the posterior probability distribution on the set of classifier weights learned from the linear classifier; and classifying unlabeled data using the autoencoder according to the marginalized loss function.

Abstract: Kits and methods to distinguish between false and true labor are provided. The kits and methods can utilize differences in abundance and/or differences in the rate of change in abundance of B7-H2, SORC2, TF, C1-Esterase Inhibitor, Ran, IMD-H1 and/or PGAM1, as markers of true labor.

Abstract: The present disclosure relates to compositions and methods for treating autism spectrum disorder (ASD) by restoring an ASD patient's gut microbiota. These methods can be used with ASD patient with or without ongoing gastrointestinal symptoms. Provided here is a method for ASD treatment in a subject in need thereof comprising or consisting essentially of administering a therapeutic composition comprising a fecal microbe or a fecal microbiota preparation to the subject. Also provided here is a method comprises administering an antibiotic to a human subject; subjecting the human subject to a bowel cleanse; and administering purified fecal microbiota to the human subject. Further provided are evaluation and quantitative characterization of patient symptom improvements upon treatment described here.

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: Tracking-based motion deblurring via coded exposure is provided. Fast object tracking is useful for a variety of applications in surveillance, autonomous vehicles, and remote sensing. In particular, there is a need to have these algorithms embedded on specialized hardware, such as field-programmable gate arrays (FPGAs) or application-specific integrated circuits (ASICs), to ensure energy-efficient operation while saving on latency, bandwidth, and memory access/storage. In an exemplary aspect, an object tracker is used to track motion of one or more objects in a scene captured by an image sensor. The object tracker is coupled with coded exposure of the image sensor, which modulates photodiodes in the image sensor with a known exposure function (e.g., based on the object tracking). This allows for motion blur to be encoded in a characteristic manner in image data captured by the image sensor. Then, in post-processing, deblurring is performed using a computational algorithm.

Abstract: An automatic door handle/panel sanitizer dispensing assembly comprising a frame, a control unit including a processor, an actuator assembly controlled by the processor, the actuator assembly includes one of a pump and a valve, a first sensor operatively connected to the processor, a power storage unit powering the control unit, the actuator assembly, and the first sensor, a first nozzle and a second nozzle, both fluidly connected to the actuator assembly, a container coupled to the frame, for storing disinfectant, a threaded hook to hang the assembly onto the door handle, a tray having an arcuate shape and being arranged abutting a roof of the frame and being supported by the frame, a plurality of threaded tray holes extending through the tray arranged proximate to a rear end of the tray.

Abstract: Localized electrochemical deposition (LECD) is provided. The aim of LECD is to create a patterned electrodeposited metal layer on a cathode without the use of pre-deposition patterning steps. In embodiments described herein, an LECD device includes a cathode (a material to be plated) placed sufficiently close to a formation anode in a metal electrolyte chemical bath. The LECD device is then activated electrically in solution. An electric field created by the formation anode determines the locations of metal deposition, providing a localized deposition without need for photolithography or other masking of the material to be plated.

Abstract: Various embodiments of a system and associated method for estimating a consensus driven distributed a spectral radius of a wireless sensor network are disclosed herein.

Abstract: Dropout and pruned neural networks for fault classification in photovoltaic (PV) arrays are provided. Automatic detection of solar array faults leads to reduced maintenance costs and increased efficiencies. Embodiments described herein address the problem of fault detection, localization, and classification in utility-scale PV arrays. More specifically, neural networks are developed for fault classification, which have been trained using dropout regularizers. These neural networks are examined and assessed, then compared with other classification algorithms. In order to classify a wide variety of faults, a set of unique features are extracted from PV array measurements and used as inputs to a neural network. Example approaches to neural network pruning are described, illustrating trade-offs between model accuracy and complexity. This approach promises to improve the accuracy of fault classification and elevate the efficiency of PV arrays.

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.