Abstract: A motion measurement system including a wide-angle camera configured to capture in the periphery of an image at least a part of a body of a subject when the wide-angle camera is mounted on the body, a feature point extractor configured to extract feature points from the image, and a 3D pose estimator configured to estimate 3D pose data of the subject by using the feature points.

Abstract: An apparatus and method for processing an ultrasound image in various sensor conditions are provided. The method includes receiving a data cube via sensors, transforming the received data cube into focus data through beam focusing, and outputting inphase data and quadrature phase data for the focus data using a neural network corresponding to signal adder and Hilbert transform functions. The method further includes detecting an envelope of the inphase data and the quadrature phase data and reconstructing an ultrasound image for the data cube using log compression.

Abstract: An amplifier includes: a first input transistor connected to a first input, a first output, and a power source or a ground, a second input transistor connected to a second input, a second output, and the power source or the ground; a first replica transistor connected to the first input, a detection node, and the power source or the ground; a second replica transistor connected to the second input, the detection node, and the power source or the ground; and a bias transistor connected to a bias voltage, the detection node, and the power source or the ground.

Abstract: Methods for preparing fissile target materials are provided. The methods can include preparing a target substrate that includes a fissile atom, and layering at least one surface of the substrate with a capturing layer. Fissile target materials are provided. The fissile target materials can include a target substrate and a capturing layer operably interfacing with at least one surface of the target substrate. Methods for fissioning fissile target materials are also provided. The methods can include irradiating fissile target material to capture fission products of the irradiated fissile target material in a capturing layer of the target material. Fission fissile target materials are also provided that can include a target substrate comprising at least one fissile atom and a capturing layer operably interfacing with at least one surface of the target substrate. The capturing layer can include at least one fission product.

Abstract: The present application provides bifunctional compounds of Formula X or an enantiomer, diastereomer, or stereoisomer thereof, or pharmaceutically acceptable salt, hydrate, solvate, or prodrug thereof, which act as protein degradation inducing moieties for Bruton's tyrosine kinase (BTK). The present application also relates to methods for the targeted degradation of BTK through the use of bifunctional compounds that link a ubiquitin ligase-binding moiety to a ligand that is capable of binding to BTK which can be utilized in the treatment of disorders modulated by BTK.

Abstract: The present invention relates to compositions and methods for inhibiting DHHC3 palmitoyltransferase for treating cancer. Described herein, are methods of inhibiting expression or activity of programmed death-ligand 1 (PD-L1) in a cell of a subject, e.g., a human subject, in need thereof are carried out by administering to the subject an effective amount of a palmitoyltransferase inhibitor, thereby inhibiting the expression or activity of PD-L1 in the subject. The palmitoyltransferase comprises an Asp-His-His-Cys motif (DHHC)-type protein. Exemplary DHHC-type proteins include DHHC3, DHHC5, DHHC7, and DHHC17.

Abstract: Methods and systems for automatically labeling point cloud data are disclosed. A method includes obtaining the point cloud data from vehicle sensor modules, randomly selecting three points from the point cloud data, generating a plane hypothesis pertaining to the three points via a random sample consensus (RANSAC) method, selecting one or more points from the point cloud data that are inliers based on the plane hypothesis, sorting the selected points based on a corresponding dataset received from the vehicle sensor modules such that each of a plurality of datasets includes one or more selected points therein, completing a range RANSAC method on each of the datasets to determine one or more inliers of the selected points, repeating each process until a loss function of the range RANSAC method does not decrease, and automatically labeling the inliers of the selected points in each of the plurality of datasets.

Abstract: An object re-identification method performed by an object re-identification apparatus. The method includes detecting an object in a plurality of images; inferring object information including an attribute for the detected object; selecting an object having a same attribute as an identification target object from the inferred object information as a comparison target object; inferring a photographing angle of the selected comparison target object; selecting an identification candidate object from the comparison target object according to whether the inferred photographing angle is included in a predetermined angle range corresponding to the identification target object; and identifying whether the selected identification candidate object is matched with the identification target object.

Abstract: Provided is a method of manufacturing a soft magnetic dust core. The method includes: preparing coated powder including amorphous powder made of an Fe-B-Si-P-C-Cu-based alloy, an Fe-B-P-C-Cu-based alloy, an Fe-B-Si-P-Cu-based alloy, or an Fe-B-P-Cu-based alloy, with a first initial crystallization temperature Tx1 and a second initial crystallization temperature Tx2; and a coating formed on a surface of particles of the amorphous powder; applying a compacting pressure to the coated powder or a mixture of the coated powder and the amorphous powder at a temperature equal to or lower than Tx1?100 K; and heating to a maximum end-point temperature equal to or higher than Tx1?50 K and lower than Tx2 with the compacting pressure being applied.

Abstract: A spatial light modulator according to the inventive concept includes a light modulation layer including a plurality of pixels arranged on a plane perpendicular to a first direction, a first lens array including first lenses corresponding one-to-one with the pixels, a second lens array including second lenses corresponding one-to-one with the first lenses, and a spacer layer between the first lens array and the second lens array. Each of the first lenses has a first central axis extending in the first direction and the first central axes of the first lenses meet at different positions for each of the pixels.

Abstract: According to one embodiment, a magnetic element includes a first layer and a second layer. The first layer includes a first element and a second element. The first element includes at least one selected from the group consisting of Fe, Co, and Ni. The second element includes at least one selected from the group consisting of Ir and Os. The second layer is nonmagnetic.

Abstract: The present invention provides an electro-optic polymer (EO polymer) comprising an electro-optic molecule (EO molecule) and a base polymer. The EO polymer of the present invention has good performance over the entire optical communication wavelength range and therefore can preferably be used for the production of optical modulators, optical switches, optical transceivers, optical phased arrays, LiDAR (light detection and ranging) devices, electric field sensors, terahertz wave generators and detectors, etc.

Abstract: In some embodiments, a method of machine learning includes identifying, by an auto encoder network, a simulator feature based, at least in part, on a received first simulator data set and an emulator feature based, at least in part, on a received first emulator data set. The method further includes determining, by a synthesis control circuitry, a synthesized feature based, at least in part, on the simulator feature and based, at least in part, on the emulator feature; and generating, by the auto encoder network, an intermediate data set based, at least in part, on a second simulator data set and including the synthesized feature. Some embodiments of the method further include determining, by a generative artificial neural network, a synthesized data set based, at least in part, on the intermediate data set and based, at least in part, on an objective function.

Abstract: An adjustment device configured to move first bevel gear and second bevel gear that are disposed on base and are meshed with each other. Adjustment device includes first adjustment assembly, and second adjustment assembly. First adjustment assembly includes first fluid-driven power source, first brake component and first displacement sensor. First fluid-driven power source includes first cylinder housing and first piston. First cylinder housing is configured to be disposed on base. First piston is movably disposed on first cylinder housing. First bevel gear is configured to be disposed on first piston. First piston is configured to move first bevel gear along first axial direction. First brake component is configured to be disposed on base and configured to stop or release first piston. First displacement sensor is disposed on first cylinder housing and configured to generate displacement data related to first piston.

Abstract: A brain network activity estimation system includes means for obtaining brain wave measurement data and functional magnetic resonance imaging measurement data simultaneously measured from a subject, means for constructing a feature estimation model which receives the brain wave measurement data as input data and determining a parameter which defines the feature estimation model, means for calculating a feature value for each module based on an output value from each module that is calculated when the brain wave measurement data is provided as the input data, means for calculating an image feature value for each brain network based on the functional magnetic resonance imaging measurement data, and means for determining one or more modules which express activities of a specific brain network among a plurality of modules by evaluating correlation between the feature value for each module and the image feature value for each brain network.

Abstract: Objective discrimination of a disease label of a depressive symptom with respect to an active state of a brain is achieved. One means for solving the problems of the present invention is to provide a discriminating device for assisting in determination of whether a subject has a depressive symptom. The discriminating device includes a storage device for storing information for identifying a classifier generated by classifier generation processing based on a signal obtained by using a brain activity detecting apparatus to measure, in advance and time-sequentially, a signal indicating a brain activity of a plurality of predetermined regions of each brain of a plurality of participants in a resting state, the plurality of participants including healthy individuals and patients with depression.

Abstract: Disclosed are a neural network acceleration system and an operating method of the same. The neural network acceleration system includes a first memory module that generates a first reduced embedding segment through a tensor operation, based on a first segment of a first embedding and a second segment of a second embedding, a second memory module that generates a second reduced embedding segment through the tensor operation, based on a third segment of the first embedding and a fourth segment of the second embedding, and a processor that processes a reduced embedding including the first reduced embedding segment and the second reduced embedding segment, based on a neural network algorithm.

Abstract: Provided are an electronic expansion valve, a manufacturing method thereof and a thermal management assembly. The electronic expansion valve includes a valve body, a valve component and a control portion. The valve component includes a valve seat, a valve core and a rotor assembly. The valve seat is formed with a valve port, the rotor assembly is capable of driving the valve core to move relative to the valve seat to adjust an opening degree of the valve port. The control portion includes a cover body, a stator assembly and an electric control board. The stator assembly is in electrical connection to, or is in signal connection to, or is in electrical connection to and in signal connection to the electric control board. The electronic expansion valve further includes a sensor. The control portion provided with a control cavity. The electric control board is disposed in the control cavity.

Abstract: Provided herein are methods of recovering rare earth metals from metallic waste using extraction and precipitation processes. In one embodiment, this application discloses a method of selectively extracting one or more rare earth metals from a metallic substrate, the method comprising the steps of: (a) crushing the metallic substrate to produce a crushed composition; (b) treating the crushed composition with a strong acid solution to produce an extraction composition; (c) heating the extraction composition; (d) adding a rare earth chelating agent to the heated extraction composition to produce a precipitate; and (e) isolating the precipitate.

Abstract: The training method for the phase image generator includes the following steps. Firstly, in each iteration, a loss value is generated, including: (1). the phase image generator generates a plurality of generated phase images using a phase image generation mode; (2). the phase image determiner determines a degree of difference between the generated phase images and original phase images; (3). the loss value of the generated phase images is generated according to the degree of difference. Then, a selector selects a stable loss value from the loss values, and uses the phase image generation mode in the iteration corresponding to the stable loss value as a selected phase image generation mode of the phase image generator.