Abstract: Disclosed are pharmaceutical compositions containing (a) polymyxin antibiotic and (b) a mobile colistin resistant proteins (MCRs) inhibitor. The inhibitor relates to silver/gold-compounds or the pharmaceutically acceptable salts thereof. Also disclosed are methods of making silver/gold-compounds or the pharmaceutically acceptable salts thereof and methods for treating MCR-producing bacterial infection via multiple mechanisms.

Abstract: Disclosed are systems and methods using artificial intelligence for the detection and characterization of liver cancers.

Abstract: The present invention relates to methods for predicting the recurrence risk of hepatocellular carcinoma (HCC). Specifically, it proposes a deep learning model capable of integrating information from different phases of CT images and clinical data to predict the risk of HCC recurrence within 1 to 5 years after treatment. Experimental results demonstrate that these models outperform traditional prediction methods based on histological microvascular invasion (MVI) in predicting HCC recurrence risk.

Abstract: A hookless paper hanger adapted for securement of a plastic hook thereto, and a method of assembling same. The hookless paper hanger allows display of a garment on a flat table, while the paper hanger/plastic hook combination allows display of the same item on a hanging rack.

Abstract: A system and method for animating an avatar in a virtual world comprising an image processor arranged to process a stream of images capturing an active user to obtain an activity data set arranged to track the activity of the user; an avatar spatial processor arranged to process the activity data set to determine a plurality of motion tracking points arranged to track the user's activity over a three-dimensional space; a facial expression detection engine arranged to process the activity data set to detect one or more facial expressions of the user; and, an avatar animation engine arranged to animate the avatar in the virtual world with the plurality of motion tracking points and the detected one or more facial expressions so as to mirror the actions and facial expressions of the active user.

Abstract: A plastic hook for securement to a paper hanger body, and a method of assembling same. The plastic hook provides a sizer for displaying indicia about the garment, particularly a crown sizer.

Abstract: A novel medical image generation approach synthesizes thin-cut computerized tomography (CT) images from thick-cut CT ones as inputs. First thick-cut CT images are obtained by maximizing the pixel-wise intensity of five or more than five continuous thin-cut ones after image registration. Second, the obtained thick-cut CT images are fed into a generator block which adopts an encoder-decoder architecture, where each thick-cut image is encoded into low-dimensional embedding space before decoding into multiple thin-cut ones. Third, a discriminator focuses on distinguishing original real thin-cut images from synthetic thin-cut images. An adversarial mechanism between the generator and discriminator causes the discriminator's output to provide an effective gradient update of the network parameters for the generator to increasingly improve the generator's ability to synthesize higher-quality thin-cut images and in turn promotes the discriminator's discriminating capability.

Abstract: A three dimensional classification system for recognizing cross-sectional images automatically contains a processor that executes: (1) rescaling of a plurality of cross-sectional images; and feeding the rescaled plurality of cross-sectional images into two branches; (2) feeding the rescaled plurality of cross-sectional images into a first branch for performing a plurality of convolutions on the rescaled plurality of cross-sectional images directly to learn features for distinguishing phases; (3) feeding the rescaled plurality of cross-sectional images into a second branch for reducing resolution, and then performing a plurality of convolutions on the reduced resolution plurality of cross-sectional images to learn features for distinguishing phases; and (4) concatenating convolutional output channels from the two branches to fuse global and local features, on which two fully-connected layers are stacked as a classifier to recognize cross-sectional volumetric images accurately and quickly.

Abstract: A plastic hook for securement to a paper hanger body, and a method of assembling same. The plastic hook provides a sizer for displaying indicia about the garment, particularly a crown sizer.

Abstract: Disclosed is a computer-implemented three-dimensional image classification system (CIS) for processing and/or analyzing non-contrast computed tomography (CT) medical imaging data. The CIS is a deep neural network containing multiple Convolutional Block Attention Module (CBAM) blocks, which contain convolutional layers for feature extraction followed by CBAMs. The CBAM applies channel attention to highlight more relevant features and spatial attention to focus on more important regions. Max pooling layers operably link adjacent pairs of CBAM blocks. The output of the final CBAM block is passed to two terminal fully connected layers to generate a diagnosis. This classification system can be used to perform efficient diagnosis of hepatocellular carcinoma using solely non-contrast CT images, with diagnostic performance comparable to that of a radiologist using the current LIRADS system.

Abstract: A hookless paper hanger adapted for securement of a plastic hook thereto, and a method of assembling same. The hookless paper hanger allows display of a garment on a flat table, while the paper hanger/plastic hook combination allows display of the same item on a hanging rack.

Abstract: A computer-implemented system (CIS) is provided for processing and/or analyzing non-contrast-enhance computer tomography medical imaging input data is described. The CIS contains (i) twin U-Net architectures with equal weights, which are built on a Siamese architecture, and (ii) a Dissimilar block operably linked to the two U-Net architectures, and built on top of the Siamese-U-Net architecture to form a Dissimilar-Siamese-U-Net architecture. The computer-implemented system can be used in diagnosing acute ischemic stroke and/or thromoboembolus, by analyzing separate and independent input images of the left and right hemispheres of a brain. The diagnosis is based on a detection of the presence of a hyperdense middle cerebral artery sign.

Abstract: A system and method for animating an avatar in a virtual world comprising an image processor arranged to process a stream of images capturing an active user to obtain an activity data set arranged to track the activity of the user; an avatar spatial processor arranged to process the activity data set to determine a plurality of motion tracking points arranged to track the user's activity over a three-dimensional space; a facial expression detection engine arranged to process the activity data set to detect one or more facial expressions of the user; and, an avatar animation engine arranged to animate the avatar in the virtual world with the plurality of motion tracking points and the detected one or more facial expressions so as to mirror the actions and facial expressions of the active user.

Abstract: Disclosed are systems and methods using artificial intelligence for the detection and characterization of liver cancers.

Abstract: An apparatus and a method for remote crane control, the apparatus comprising: a memory for storing instructions; and a processing unit configured to execute the instructions stored in the memory to control the apparatus to: receive one or more images comprising a view of a location on which a crane spreader is to land; display the one or more images on a display; receive user input to mark one or more markers on the one or more received images to facilitate landing of the crane spreader; and transmit position data of the one or more markers in the one or more received images to a processor for determining values defining positioning of the crane spreader relative to the position data of the one or more markers to offset so that the crane spreader proceeds to land based on the determined values.

Abstract: A plastic hook for securement to a paper hanger body, and a method of assembling same. The plastic hook provides a sizer for displaying indicia about the garment, particularly a crown sizer.

Abstract: Disclosed are pharmaceutical compositions containing (a) polymyxin antibiotic and (b) a mobile colistin resistant proteins (MCRs) inhibitor. The inhibitor relates to silver/gold-compounds or the pharmaceutically acceptable salts thereof. Also disclosed are methods of making silver/gold-compounds or the pharmaceutically acceptable salts thereof and methods for treating MCR-producing bacterial infection via multiple mechanisms.

Abstract: A computer-implemented system (CIS), based on the DenseNet model, for processing and/or analyzing computer tomography (CT) medical imaging input data is described. The CIS contains two or more dense blocks containing one or more modules. Within each dense block, output from preceding modules containing convolutional layers are transmitted to succeeding modules containing convolutional layers, via a gate that is controlled by a predefined or trainable threshold. The CIS also includes transition layers between the dense blocks, operably linked to pairs of consecutive dense blocks in the series configuration. The CIS can be used in a computer-implemented method for enhanced diagnoses of hepatocellular carcinoma, based analysis of one or more CT medical images.