Abstract: Disclosed herein are novel microbial polycultures of two or more cell strains, capable of producing flavanones, flavonoids, and anthocyanidin-3-O-glucosides, and methods of use thereof. Also disclosed is a microbial cell capable of producing phenylpropanoic acids, and methods of use thereof.

Abstract: A fixation device includes a body having a first axial end and a second axial end defining a longitudinal axis. The body has a longitudinal bore therein, and a longitudinal slot in a first side of the body extending laterally to the bore. A mounting bracket is connected to the first axial end at a second side opposite the slot and extends outward therefrom. The mounting bracket is configured to be mounted to a first structure. A support member is retained in the bore and is configured to move longitudinally in the bore. The support member protrudes outward from the first side of the body to support a second structure a longitudinal distance from the first structure. A lead screw engages a threaded hole in the base whereby rotation of the lead screw moves the support member to adjust the longitudinal distance between the first and second structures.

Abstract: A method of assessing a membrane, including calculating fluid dynamic characteristics of at least one of a membrane and a material to be passed through the membrane, where the material comprises particles; obtaining characteristic of at least one force acting on the particles of the material to be passed through the membrane due to the interaction between the particles and the membrane, the at least one force being an intermolecular force; combining the calculated fluid dynamic characteristic and the obtained characteristics to assess the flow of the material through the membrane; and optimizing at least one characteristics of the membrane in relation to the material. The membrane includes a plurality of rows and a plurality of teardrop structures arranged in the plurality of rows. The teardrop structures in each row are arranged at substantially the same angle with respect to an anticipated direction of flow through the membrane.

Abstract: A system for providing a solar harvesting building envelope is disclosed. The system includes a plurality of solar harvesting apparatus configured to be installed as or on a building envelope in a manner like that of traditional shingles or siding. The apparatus includes a frame having a photovoltaic end wall, and reflective base and side walls. A translucent, wedge-shaped body layer is positioned on the frame. A luminescent species film is positioned at and substantially parallel to a base of the wedge-shaped body layer, such that the luminescent species film is positioned at an angle relative to the photovoltaic end wall. Light incident on the wedge-shaped body layer is concentrated towards the photovoltaic end wall, such as through absorption and re-emission along with scattering by the luminescent species film and internal reflection by the wedge-shaped body layer and the reflective base and side walls of the frame.

Abstract: A photodiode structure including a silicon substrate, an oxide layer on the silicon substrate, a silicon on insulator region on the oxide layer, a germanium absorption region, a silicon nitride waveguide, a cathode region, and an anode region is provided. The germanium absorption region is at least partially disposed in a recess of the silicon on insulator region. The germanium absorption region includes a top surface having a first width and a bottom surface having a second width, the first width being greater than the second width. The cathode region is formed at a first side of the germanium absorption region, and the anode region is formed at a second side of the germanium absorption region that is opposite the first side.

Abstract: The anion exchange membranes exhibit enhanced chemical stability and ion conductivity when compared with traditional styrene-based alkaline anion exchange membranes. A copolymer backbone is polymerized from a reaction medium that includes a diphenylalkylene and an alkadiene. The copolymer includes a plurality of pendant phenyl groups. The diphenyl groups on the polymer backbone are functionalized with one or more haloalkylated precursor substrates. The terminal halide from the precursor substrate can then be substituted with a desired ionic group. The diphenylethylene-based alkaline anion exchange membranes lack the ?-hydrogens sharing tertiary carbons with phenyl groups from polystyrene or styrene-based precursor polymers, resulting in higher chemical stability. The ionic groups are also apart from each other by about 3 to 6 carbons in the polymer backbone, enhancing ion conductivity. These membrane are advantageous for use in fuel cells, electrolyzers employing hydrogen, ion separations, etc.

Abstract: One embodiment provides a lens structure. The lens structure includes a backend. The backend includes a backend back surface and a backend front surface. The backend is configured to receive a luminous flux from a light source and to redirect the received luminous flux onto a lens. The redirected luminous flux is configured to increase a luminous efficacy.

Abstract: 4-Hydroxybenzomorphans containing carboxamide or thiocarboxamide at the 3-position are useful as analgesics, anti-diarrheal agents, anticonvulsants, antitussives and anti-addiction medications.

Abstract: A method of multi-talker separation using a 3-tuple coprime microphone array, including generating, by a subarray signal processing module, a respective subarray data set for each microphone subarray of the 3-tuple coprime microphone array based, at least in part, on an input acoustic signal comprising at least one speech signal. The input acoustic signal is captured by the 3-tuple coprime microphone array. The 3-tuple coprime microphone array includes three microphone subarrays. The method includes determining, by the subarray signal processing module, a point by point product of the three subarray data sets; and determining, by the subarray signal processing module, a cube root of the point by point product to yield an acoustic signal output data. The acoustic signal output data has an output amplitude and an output phase corresponding to an input amplitude and an input phase of a selected speech signal of the at least one speech signal.

Abstract: One embodiment provides a luminaire. The luminaire includes a light transfer structure, and a thermal management structure. The light transfer structure is configured to receive light from at least one light emitting diode (LED). The thermal management structure is configured to manage a thermal energy of the at least one LED. The light transfer structure and the thermal management structure are formed during a same three-dimensional (3D) printing process.

Abstract: Prophylaxis and treatment of patients susceptible to infection by coronaviruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is achieved using compositions including one or more inhibitors including sulfated glycans and/or highly negative charged compounds. The inhibitors bind to wild-type and variant spike glycoproteins (S-proteins or SGPs) of SARS-CoV-2, inhibiting fusion, entry, and infection of a host cell. The inhibitors can include pentosan polysulfate (PPS), mucopolysaccharide polysulfate (MPS), sulfated lactobionic acid, sulodexide, a defibrotide, 4-t-butylcalix[X] arene-p-sulfonic acid, or combinations thereof. The presence of additional sulfo groups in PPS and MPS contribute to the improved inhibitory activity of compositions with those sulfated glycans against COVID-19 compared with compositions containing heparin alone.

Abstract: In one embodiment, there is provided a dynamic multi-source image reconstruction apparatus. The apparatus includes a first reconstruction stage, a second reconstruction stage, and a refinement stage. The first reconstruction stage is configured to receive an input data set including a group of data frames. Each data frame corresponds to a respective time step. Each data frame includes a number of projection data sets. Each projection data set corresponds to a respective source-detector pair of a stationary multi-source tomography system. The first reconstruction stage is further configured to reconstruct a first intermediate image based, at least in part, on the group of data frames. The second reconstruction stage is configured to receive a selected data frame and to reconstruct a second intermediate image with a constraint of the first intermediate image as prior. The refinement stage is configured to refine the second intermediate image to produce a three-dimensional output image.

Abstract: A decision network for moral decision-making includes a trained group artificial neural network (ANN), a trained individual ANN, and a fusion block. The trained group ANN is configured to receive a selected input vector and to produce an estimated en group output based, at least in part, on the selected input vector. The trained group ANN is trained based, at least in part, on group training data including a plurality of group input vectors and corresponding training group outputs. Each group input vector includes a plurality of scenario parameters. The trained individual ANN is configured to receive the selected input vector and to produce an estimated individual output based, at least in part, on the selected input vector. The trained individual ANN is trained after the trained group ANN is trained.

Abstract: A system for few-view computed tomography (CT) image reconstruction is described. The system includes a preprocessing module, a first generator network, and a discriminator network. The preprocessing module is configured to apply a ramp filter to an input sinogram to yield a filtered sinogram. The first generator network is configured to receive the filtered sinogram, to learn a filtered back-projection operation and to provide a first reconstructed image as output. The first reconstructed image corresponds to the input sinogram. The discriminator network is configured to determine whether a received image corresponds to the first reconstructed image or a corresponding ground truth image. The generator network and the discriminator network correspond to a Wasserstein generative adversarial network (WGAN). The WGAN is optimized using an objective function based, at least in part, on a Wasserstein distance and based, at least in part, on a gradient penalty.

Abstract: The present disclosure relates to an apparatus for enhancing contrast sensitivity and resolution in a grating interferometer by machine learning, which can improve both image contrast sensitivity and spatial resolution in a grating interferometer by machine learning, the apparatus including: an image acquisition unit; a numerical phantom generation unit, a convolution layer generation unit to extract features from input data; an activation function application calculation unit that can apply a rectified linear activation function to an output value of the convolution calculation to perform smooth repetitive machine learning; a CNN repetitive machine learning unit that corrects a convolution calculation factor while repeatedly performing forward propagation and backward propagation processes; and an image matching output unit that matches and outputs features extracted by repetitive machine learning of the CNN repetitive machine learning unit.

Abstract: A method of predicting bone fracture risk in a type 2 diabetes (“T2D”) patient includes: obtaining a plurality of averaged glycated hemoglobin (“HbA1c”) values for a plurality of T2D subjects over an observational period; binning the plurality of averaged HbA1c values into two predetermined categories; obtaining a plurality of total fracture incidences for the plurality of T2D subjects over a follow-up period; performing a plurality of linear regression model correlations between the binned HbA1c values and the plurality of total fracture incidences to determine a bone fracture rate prediction model; obtaining a measurement of an HbA1c value of the T2D patient; and analyzing the HbA1c value of the T2D patient with the bone fracture rate prediction model to determine the T2D patient's risk of bone fracture for a future period.

Abstract: A transition metal dichalcogenides device includes a substrate, a bottom layer of boron nitride, a tungsten diselenide monolayer on the bottom layer of boron nitride, a top layer of boron nitride on the tungsten diselenide monolayer such that the bottom and top layers of boron nitride at least partially encapsulate the tungsten diselenide monolayer, a source electrode on the substrate, a drain electrode on the substrate, and a top gate electrode on the top layer of boron nitride. The tungsten diselenide monolayer is configured to reveal excitons when at least one of a K valley and a K? valley of the tungsten diselenide monolayer is exposed to excitation photon energy and an external magnetic field. The excitons are giant valley-polarized Rydberg excitons in excited states ranging from 2s to 11s when the external magnetic field is in the range of about ?17 T to about 17 T.

Abstract: In one embodiment, there is provided a magnetic resonance (MR) subsystem for magnetic resonance imaging (MRI). The MR subsystem includes a first magnet-coil assembly and a second magnet-coil assembly. The first magnet-coil assembly includes a first magnet structure and a first gradient coil. The second magnet-coil assembly includes a second magnet structure and a second gradient coil. The first magnet-coil assembly and the second magnet-coil assembly are separated by a gap. The gap is configured to facilitate transmission of an x-ray beam from an x-ray source to an x-ray detector. The x-ray source and the x-ray detector are included in a computed tomography (CT) subsystem.

Abstract: One embodiment provides an apparatus for fluorescence lifetime imaging (FLI). The apparatus includes a deep neural network (DNN). The DNN includes a first convolutional layer, a plurality of intermediate layers and an output layer. The first convolutional layer is configured to receive FLI input data. Each intermediate layer is configured to receive a respective intermediate input corresponding to an output of a respective prior layer. Each intermediate layer is further configured to provide a respective intermediate output related to the received respective intermediate input. The output layer is configured to provide estimated FLI output data corresponding to the received FLI input data. The DNN is trained using synthetic data.

Abstract: A deep neural network for metal artifact reduction is described. A method for computed tomography (CT) metal artifact reduction (MAR) includes receiving a first CT image data; receiving a second CT image data; and generating, by an artificial neural network (ANN), CT output image data configured to include fewer artifacts compared to the first and second CT image data. The ANN includes at least two parallel CT image data streams and a CT output image data stream. A first of the at least two parallel CT image data streams is based, at least in part, on the first CT image data, a second of the at least two parallel CT image data stream is based, at least in part, on the second CT image data. The CT output image data stream is based, at least in part, on respective outputs of the at least two parallel CT image data streams.