Abstract: This invention is in the field of medicinal pharmacology. In particular, the present invention relates to pharmaceutical agents which function as inhibitors of sodium-glucose cotransporter 1 (SGLT-1) activity. The invention further relates to methods of treating and/or ameliorating symptoms related to cystic fibrosis-related liver disease and diseases characterized with increased SGLT-1 activity, increased endoplasmic reticulum (ER) stress response, and/or increased hepatic inflammation.

Abstract: Real-time cardiac MRI images may be captured continuously across multiple cardiac phases and multiple slices. Machine learning-based techniques may be used to determine spatial (e.g., slices and/or views) and temporal (e.g., cardiac cycles and/or cardiac phases) properties of the cardiac images such that the images may be arranged into groups based on the spatial and temporal properties of the images and the requirements of a cardiac analysis task. Different groups of the cardiac MRI images may also be aligned with each other based on the timestamps of the images and/or by synthesizing additional images to fill in gaps.

Abstract: Systems and techniques for information centric network (ICN) interworking are described herein. For example, a request may be received at a convergence layer of a node. Here, the request originates from an application on the node. A network protocol, from several available to the node, may be determined to transmit the request. The node then transmits the request via the selected network protocol.

Abstract: The present disclosure provides isolated monoclonal antibodies or an antigen-binding portion thereof that specifically bind to CD40 preferably human CD40 with high affinity, and that function as CD40 agonists. The disclosed invention also relates to antibodies that are chimeric, humanized, bispecific, derivatized, single chain antibodies or portions of fusion proteins. Nucleic acid molecules encoding the antibodies of the disclosed invention, hybridoma, and methods for expressing the antibodies of the disclosed invention are also provided. Pharmaceutical compositions comprising the antibodies of the disclosed invention are also provided. This disclosure also provides methods for regulating humoral and cellular immune responses, as well as methods for treating cancer using an anti-CD40 agonist antibody of the disclosed invention.

Abstract: The present application provides, in some aspects, methods of identifying a condensate of interest associated with a el disease. Also provided are methods of identifying a marker for identifying a condensate of interest associated with a disease. In other aspects, provided herein are methods of identifying a therapeutic agent useful for treating a disease via the identified condensate of interest.

Abstract: A computer-implemented method dynamically switches access plans for a query during concurrent query execution. The method includes receiving a first query configured to be processed by a database system. The method also includes generating, for the first query, an access plan for each of identified resource sets. The method includes determining a first set of available resources that represent an available capacity for the database system. The method further includes selecting a first resource set of the one or more resource sets, where the selecting is based on the first set of available resources being closest to the first resource set. The method also includes selecting, based on the first set of available resources, a first access plan of the one or more access plans. The method includes executing the first query and returning results of the first query to a source of the first query.

Abstract: A method for inferring intent and discrepancies in a label coding scheme is described. The method includes compiling data indicating how one or more individuals labeled unstructured content according to the label coding scheme comprising a plurality of labels. The method also includes analyzing a context associated with a content labeled in a particular manner by the one or more individuals. The method further includes detecting discrepancies of meaning for a particular label used by the one or more individuals. The method also includes inferring a strategic thinking of the one or more individuals associated with the discrepancies of meaning detected for the particular label. The method further includes displaying recorded metadata associated with the strategic thinking and the discrepancies of meaning detected for the particular label between the one or more individuals regarding a coded dataset.

Abstract: A system and method for generating a computed tomography (CT) image of an object includes establishing a narrow-spectrum high-energy bin and other bins with wider-spectrum and lower-energies and acquiring a first dataset using the narrow-spectrum high-energy bin. The method also includes acquiring second or more datasets using the wide-spectrum, low-energy bins, reducing data attributable to scatter from the second or more datasets using the first dataset to create reduced-scatter datasets, and reconstructing CT images of the object from the reduced-scatter datasets.

Abstract: Disclosed herein are systems, methods, and instrumentalities associated with reconstructing magnetic resonance (MR) images based on under-sampled MR data. The MR data include 2D or 3D information, and may encompass multiple contrasts and multiple coils. The MR images are reconstructed using deep learning (DL) methods, which may accelerate the scan and/or image generation process. Challenges imposed by the large quantity of the MR data and hardware limitations are overcome by separately reconstructing MR images based on respective subsets of contrasts, coils, and/or readout segments, and then combining the reconstructed MR images to obtain desired multi-contrast results.

Abstract: In Multiplex MRI image reconstruction, a hardware processor acquires sub-sampled Multiplex MRI data and reconstructs parametric images from the sub-sampled Multiplex MRI data. A machine learning model or deep learning model uses the subsampled Multiplex MRI data as the input and parametric maps calculated from the fully sampled data, or reconstructed fully sample data, as the ground truth. The model learns to reconstruct the parametric maps directly from the subsampled Multiplex MRI data.

Abstract: A neural network system implements a model for generating an output image based on a received input image. The model is learned through a training process during which parameters associated with the model are adjusted so as to maximize a difference between a first image predicted using first parameter values of the model and a second image predicted using second parameter values of the model, and to minimize a difference between the second image and a ground truth image. During a first iteration of the training process the first image is predicted and during a second iteration the second image is predicted. The first parameter values are obtained during the first iteration by minimizing a difference between the first image and the ground truth image, and the second parameter values are obtained during the second iteration by maximizing the difference between the first image and the second image.

Abstract: Described herein are systems, methods, and instrumentalities associated with landmark detection. The detection may be accomplished by determining a graph representation of a plurality of hypothetical landmarks detected in one or more medical images. The graph representation may include nodes that represent the hypothetical landmarks and edges that represent the relationships between paired hypothetical landmarks. The graph representation may be processed using a graph neural network such a message passing graph neural network, by which the landmark detection problem may be converted and solved as a graph node labeling problem.

Abstract: A dynamic interface layout method includes that a width of a screen of an electronic device is divided into a plurality of columns. The electronic device displays a first interface on the screen. After detecting an interface refresh signal, the electronic device obtains a first column quantity corresponding to a width of a second interface to be displayed after refreshing. The first column quantity is a quantity of columns included in the width of the second interface. The electronic device determines a second column quantity according to a layout rule corresponding to a first element on the second interface. The second column quantity is a quantity of columns included in a width of the first element. The electronic device displays the second interface on the screen.

Abstract: There is provided an array of light emitting elements integrated with meta-surfaces. The meta-surfaces are constructed from a semiconductor alloy comprising at least two different semiconductors. The composition of the semiconductor can be varied so as to provide different refractive indices. A method of manufacture of such an array is also provided.

Abstract: A battery pack, comprising a first cell and a second cell connected in series, the first cell having a current cut-off device and having a first failure voltage, the current cut-off device being configured to be able to break a circuit in response to a voltage value of the first cell reaching or exceeding the first failure voltage, and the second cell having no current cut-off device. The battery pack may use a soft pack battery as the second cell, having advantages such as high energy density, low impedance, high discharge power, a low rate of temperature rise during high-rate discharge, and flexibility in dimensions.

Abstract: The disclosed computer-implemented method may include systems for generating personalized avatar reactions during live video broadcasts. For example, the systems and methods described herein can access a social networking system user's profile to identify an avatar associated with the social networking system user. The systems and methods can generate an avatar reaction by modifying one or more features of the avatar based on a corresponding emoticon reaction. Once generated, the social networking system user can select the avatar reaction for addition to an ephemeral reaction stream associated with a live video broadcast. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A technique for improving wireless communication characteristics involving matching transmitter antenna patterns to receiver antenna patterns. In a specific implementation, the transmitter antenna pattern adapts to changing parameters, such as when a smartphone is initially held in a first orientation and is later held in a second orientation. Because the transmitter antenna pattern matches receiver antenna patterns, signal quality between stations improves. In some implementations, antennas are organized and mounted to maximize spatial diversity to cause peak gains in different directions.

Abstract: The present disclosure relates to compounds. and to their pharmaceutical compositions. that inhibit dipeptidyl peptidase IV (DPP4). Hie compounds selectively promote the proliferation of alveolar type 2 cells (AEC2s) and are useful in therapeutic methods of treating diseases whose etiology. for example. derives from epithelial degeneration and maladaptive remodeling, such as pulmonary' diseases like idiopathic pulmonary fibrosis (IFF), acute respiratory' distress syndrome (ARDS), and infant respiratory' distress syndromes (IRDS).

Abstract: A method and system for determining a mass of an absorbed gas and a mass of a pore gas in a sample using NMR spectroscopy is provided. The method includes acquiring a baseline NMR spectrum of a pressure cell containing the sample, saturating the sample with a gas, acquiring a saturated NMR spectrum and determining a differential NMR spectrum of the sample by subtracting the baseline NMR spectrum from the saturated NMR spectrum. The method also includes separating the differential NMR spectrum into an absorbed gas NMR spectrum to determine an absorbed gas NMR signal and a pore gas NMR spectrum to determine a pore gas NMR signal by performing a spectral deconvolution. The method further includes acquiring a normalization NMR spectrum of the pressure cell containing a gas to determine a gas calibration NMR signal and determining the mass of the absorbed gas and pore gas.

Abstract: Described are embodiments for generating a post-optical proximity correction (OPC) result for a mask using a target pattern and reference layer patterns. Images of the target pattern and reference layers are provided as an input to a machine learning (ML) model to generate a post-OPC image. The images may be input separately or combined into a composite image (e.g., using a linear function) and input to the ML model. The images are rendered from pattern data. For example, a target pattern image is rendered from a target pattern to be printed on a substrate, and a reference layer image such as dummy pattern image is rendered from dummy pattern. The ML model is trained to generate the post-OPC image using multiple images associated with target patterns and reference layers, and using a reference post-OPC image of the target pattern. The post-OPC image may be used to generate a post-OPC mask.