Abstract: Systems and methods are provided for efficiently encoding geometry information for 3D media content. An illustrative system generates a low-resolution polygon mesh from a high-resolution polygon mesh. The system uses a vertex occupancy prediction network to generate, from vertices of the low-resolution polygon mesh, approximated vertices of the high-resolution polygon mesh. The system uses a connectivity prediction network to generate, from approximated vertices of the high-resolution polygon mesh, approximated connections of the high-resolution polygon mesh. The system computes vertex errors between the approximated vertices and the vertices of the high-resolution polygon mesh, and connectivity errors between the approximated connections and the connections of the high-resolution polygon mesh.

Abstract: Systems and methods are described for generating pixel image data, using a lensless camera, based on light that travels through a mask that with pattern masking the lensless camera. The system applies a transformation function to the pixel image data to generate frequency domain image data. The system inputs the frequency domain image data into a machine learning model, wherein the machine learning model does not have access to data that represents the pattern of the mask. The model is trained using a set of images with the feature that are captured by the flat, lensless camera through the mask. The system processes the frequency domain image data using the machine learning model to determine whether the pixel image data depicts the image feature. The system further performs an action based on determining that the pixel image data depicts the image feature.

Abstract: This application provides a terminal device. The terminal device includes a middle frame, a receiver assembly, and a sealing assembly. The middle frame includes a first surface and a second surface that are arranged opposite to each other. Sound outlet holes are arranged on the middle frame. A first groove is arranged on the first surface of the middle frame. The first groove is in communication with the sound outlet holes. A first through hole is arranged on a bottom wall of the first groove. The receiver assembly is arranged on the second surface of the middle frame. The receiver assembly is sealedly connected to the middle frame, and corresponds to the first through hole. The sealing assembly is configured to seal the first groove. The first groove of the middle frame and the first through hole form a front sound cavity of the receiver assembly.

Abstract: The present disclosure includes compounds, kits, and assay procedures for use in determining the levels of certain types of drugs in samples that contain specific binding proteins for the drugs. The present disclosure includes analog compounds useful for displacing the drugs from their endogenous binding proteins, and kits including same, as well as methods that utilize these displacers as binding competitors in pharmaceutical assays.

Abstract: A gas extraction device for metal mineral inclusions and a gas extraction method therefor are provided, the device includes a base plate, an annular carrier, sealing covers, a grinding assembly, a vacuum assembly, a gas-gathering assembly and a mass spectrometer. The annular carrier is disposed on the base plate, multiple grinding chambers are defined and evenly distributed in a circular shape on the annular carrier, the sealing covers are disposed at openings of the grinding chambers, the grinding assembly includes grinding hammers, and the grinding hammers penetrate through the sealing covers and extend into the grinding chambers. Side walls of each grinding chamber defines a first through hole and a second through hole. The vacuum assembly is communicated with the grinding chambers through the first through holes. The gas-gathering assembly is communicated with the grinding chambers through the second through holes. The mass spectrometer is communicated with the gas-gathering assembly.

Abstract: A linker peptide for constructing a fusion protein. The linker peptide comprises a flexible peptide and a rigid peptide. The flexible peptide consists of one or more flexible units. The rigid peptide consists of one or more rigid units. The flexible unit comprises two or more amino acid residues selected from Gly, Ser, Ala, and Thr. The rigid unit comprises a human chorionic gonadotropin ?-subunit carboxy-terminal peptide (CTP) bearing a plurality of glycosylation sites. The linker peptide can more effectively eliminate mutual steric hindrance of two fusion molecules, decreasing a reduction/loss of polymerization or activity resulting from improper folding of an active protein or a conformational change. On the other hand, the negatively charged, highly sialylated CTP can resist renal clearance, further prolonging a half-life of a fused molecule and enhancing bioavailability of a fused protein.

Abstract: A health protection system and a method for passengers on a train in a polluted indoor environment are provided. The health protection system includes a basic data acquisition module, an outdoor air quality prediction module, an indoor air quality prediction module, and a ventilation strategy generation module, wherein the basic data acquisition module acquires basic data; the outdoor air quality prediction module predicts outdoor air quality of the train; the indoor air quality prediction module predicts indoor air quality of the train; and the ventilation strategy generation module generates a ventilation strategy and achieves health protection of the passengers on the train. The method includes: predicting indoor and outdoor air quality data information of the train according to the acquired indoor and outdoor air quality data of the train; and generating a corresponding ventilation strategy according to the indoor and outdoor air quality data of the train.

Abstract: This disclosure relates to techniques for a wireless device to dynamically adapt its bandwidth use using network scheduling information in a cellular communication system. A radio resource control connection between a cellular base station and a wireless device may be established. The wireless device may receive network scheduling information from the cellular base station. The wireless device may dynamically select a receive bandwidth for receiving transmissions from the cellular base station based at least in part on the network scheduling information.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. These systems and methods can use a neural network based predictor, that has been trained to determine a temperature rise across an entire IC. The training of the predictor can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC), each template associated with location parameters to position the template in the IC; performing thermal simulations for each respective template of the IC, each thermal simulation determining an output based on a power pattern of tiles of the respective template, the output indicating a change in temperature of a center tile of the respective template relative to a base temperature of the integrated circuit; and training a neural network.

Abstract: Apparatuses, systems, and methods for providing maximum transmit power control when utilizing multiple radio access technologies. For example, a wireless communication device comprising two cellular radios may intend to transmit on the first radio, while concurrently transmitting on the second radio. To ensure compliance with a maximum transmit power limitation, the device may determine an allowed transmit power level of the first radio, representing a difference between the maximum transmit power limitation and the current transmit power level being transmitted by the second radio. The device may also determine a threshold power level for a communication by the first radio. If the allowed transmit power level meets the threshold power level, then the device may transmit the first communication having a power level between the threshold power level and the allowed transmit power level. Otherwise, the device may forego transmission of the first communication.

Abstract: Systems and methods are provided for encoding a frame of 3D media content. The systems and methods may be configured to access a first frame of 3D media content and generate a data structure for the first frame based on color attributes information of the first frame, wherein each element of the data structure encodes a single color. The systems and methods may be configured to train a machine learning model based on the first frame of 3D media content, wherein the machine learning model is trained to receive as input a coordinate of a voxel of the first frame, and to output an identifier of a particular element in the generated data structure. The systems and methods may be configured to generate encoded data for the first frame based at least in part on weights of the trained machine learning model and the generated data structure.

Abstract: Machine assisted systems and methods for enhancing the resolution of an IC thermal profile from a system analysis are described. The methods can include generating a representation of two or more templates identifying different portions of an integrated circuit (IC); performing a thermal simulation for each respective template of the IC based on a sequence of power patterns of tiles of the respective template; and training a neural network with a plurality of training data collected via thermal simulations performed for the templates of the IC. These systems and methods can use a machine learning predictor, that has been trained to determine a transient temperature rise across an entire IC, and then append the determined transient temperature rise to a system level thermal profile of the IC.

Abstract: The system trains a machine learning model using a loss function, with a part that penalizes overall signal loss, and a second part of the loss function that penalizes texture loss. The system computes a first neural feature of a first media frame stored by a media server using the trained machine learning model. The system causes a client device to receive a second media frame as a part of a media stream from the media server where the second frame is a modified version of the first media frame. The system causes the client to compute a second neural feature of the second media frame using the trained machine learning model, and compute a QoE metric based on the first neural feature and the second neural feature. The system receives the QoE metric, and uses it to modify at least one parameter of the media stream.

Abstract: System and method are provided for encoding a frame of 3D media content. The systems accessing voxel geometry information for a first frame and trains a neural network based on the voxel geometry information, such that the neural network is configured to receive a coordinate of a voxel and output color attributes information for the voxel. The trained neural network comprises a plurality of weights for each layer of the neural network. The system converts weights of each respective layer of the first neural network into a respective first intermediary matrix. And then each respective first intermediary matrix is decomposed to create a respective first decomposition data that compromises a plurality of components that approximate the respective first intermediary matrix when combined. The system then generates encoding data for the first frame by storing each respective decomposition data for each respective first intermediary matrix.

Abstract: Systems, methods and apparatuses are described herein for accessing image data, generated at least in part using a device comprising a lenslet array, determining a plurality of reference pixel blocks of the image data, and determining a prediction block in a vicinity of the reference pixel blocks. Implementing any of the technique(s) described herein, the system or systems may determine, based on the plurality of reference pixel blocks, a first component representing average pixel values of the prediction block, a second component representing low frequency pixel values of the prediction block, and a third component representing high frequency pixel values of the prediction block. The system(s) may determine predicted pixel values of the prediction block based on the first component, the second component and the third component, and encode the image data based at least in part on the predicted pixel values of the prediction block.

Abstract: Systems and methods are described for generating pixel image data, using a lensless camera, based on light that travels through a mask that with pattern masking the lensless camera. The system applies a transformation function to the pixel image data to generate frequency domain image data. The system inputs the frequency domain image data into a machine learning model, wherein the machine learning model does not have access to data that represents the pattern of the mask. The model is trained using a set of images with the feature that are captured by the flat, lensless camera through the mask. The system processes the frequency domain image data using the machine learning model to determine whether the pixel image data depicts the image feature. The system further performs an action based on determining that the pixel image data depicts the image feature.

Abstract: Systems, methods and apparatuses are described herein for training a machine learning model to accept as input synthetic aperture image (SAI) training data for a three-dimensional (3D) display, the 3D display comprising a plurality of layers. The machine learning model may be trained to output respective pixel representations of the SAI training data for each of the plurality of layers of the 3D display. The provided systems, methods and apparatuses may access image data, input the image data to the trained machine learning model, and determine, using the trained machine learning model, respective pixel representations of the input image data for each of the plurality of layers of the 3D display. The provided systems, methods and apparatuses may encode the respective pixel representations of the input image data, and transmit, for display at the 3D display, the encoded respective pixel representations of the input image data.

Abstract: Systems and methods are described for generating pixel image data, using a lensless camera, based on light that travels through a mask that with pattern masking the lensless camera. The system applies a transformation function to the pixel image data to generate frequency domain image data. The system inputs the frequency domain image data into a machine learning model, wherein the machine learning model does not have access to data that represents the pattern of the mask. The model is trained using a set of images with the feature that are captured by the flat, lensless camera through the mask. The system processes the frequency domain image data using the machine learning model to determine whether the pixel image data depicts the image feature. The system further performs an action based on determining that the pixel image data depicts the image feature.

Abstract: Disclosed is a vibration generator for shoes, including: a flat vibration plate having a length longer than the width thereof; support pieces horizontally protruding in the widthwise direction of the vibration plate; upper and lower casings coupled while restricting each end portion of each support piece, so as to accommodate the vibration plate therein; core magnets fixedly provided in one or more places among the respective end portions in the lengthwise direction of the vibration plate; upper magnets fixed to the upper casing so as to face the core magnets, thereby generating a repulsive force; and bottom magnets fixed to the lower casing so as to face the core magnets, thereby generating a repulsive force.