Abstract: The present disclosure describes techniques for automatically identifying a checkpoint of a machine learning model for deployment. A plurality of checkpoints are generated during training the machine learning model. The machine learning model is trained on a set of training images. A plurality of subject images is generated by each of the plurality of checkpoints. Subject similarity and global difference between images in each pair of images are computed. Each pair of images comprises one of the set of training images and one of the plurality of subject images generated by each of the plurality of checkpoints. Image generation qualities of the plurality of checkpoints are evaluated based on the subject similarity and the global difference. The checkpoint of the machine learning model for deployment is automatically identified based on the evaluated image generation qualities.

Abstract: A meat-containing puffed foodstuff and a preparation method therefor where the method includes providing a puffed pellet including grain and meat; providing dried meat; mixing the dried meat with the puffed pellets to form a mixture; feeding the mixture into a chamber of a pressure-molding apparatus; exposing the mixture to an increased pressure and temperature inside the chamber for a selected period of time; and rapidly expanding the volume of the chamber to cause a rapid expansion of the contained mixture to obtain the puffed chip, that is, the meat-containing puffed food, in which the meat-containing puffed food has a total meat addition amount of 5 wt. % or more based on a total weight of the meat-containing puffed food.

Abstract: The present application relates to a method for preparing a thermosetting midsole using foamed particles with graphene oxide on surface. The method comprises: fusing the foamed particles with graphene oxide on surface with each other in a midsole mold under steam heating conditions to form the thermosetting midsole, wherein the body of the foamed particles with graphene oxide on surface is formed by mixing 60 wt % to 95 wt % thermoplastic polyurethane and 5 wt % to 40 wt % thermosetting polymer and foaming under non curing conditions. Thermosetting midsoles have high mechanical strength, good thermal stability, good chemical resistance, and good breathability, making them suitable for outdoor and extreme environments. The graphene oxide on the surface of the foamed particles prevents the foamed particles from fusing with other foamed particles where graphene is present, thus naturally leaving breathable channels.

Abstract: An image processing system auto white balances an image using an object in the image and a reference color distribution. Given an input image, a target object in the input image is identified. A reference color distribution for the object type of the target object from the input image is accessed. One or more image processing settings are determined that, when applied to the input image, minimize a difference in values between pixels of the target object and the reference color distribution. A white balanced image is generated by applying the one or more image processing settings to the input image, and the white balanced image is provided for presentation.

Abstract: Systems and methods are provided that can enable improved detection of a position within a body lumen at which a therapy is delivered and improved labelling of patient data sets. A system includes a first flexible elongate instrument comprising a plurality of imaging markers and a second flexible elongate instrument, comprising a therapeutic delivery device, configured for relative movement with respect to the first instrument. A treatment activation sensor is included to detect an activation energy associated with delivery of a therapy by the therapeutic delivery device. The system further includes a processor configured to establish a reference coordinate system based on the plurality of imaging markers, receive therapeutic delivery information at a plurality of locations in the body lumen from a location information sensor, and correlate the therapeutic delivery information with the detected activation energy to determine a position of the delivered therapy based on the reference coordinate system.

Abstract: A rhamnolipid ester is useful as a cosmetic additive. A method of its production involves providing at least one rhamnolipid, reacting the at least one rhamnolipid with at least one coupling reagent, reacting the at least one rhamnolipid with a polyhydric alcohol having 1 to 32 carbon atoms, and optionally purifying the at least one rhamnolipid ester.

Abstract: A composition has at least one self tanning agent and certain sphingolipids and/or certain sphingoid bases. Cosmetic formulations having the composition with at least one self tanning agent, certain sphingolipids and/or certain sphingoid bases enhance a self tanning effect of a self tanning agent or find application in cosmetic products for tanning of a human skin.

Abstract: In implementations of systems for efficient object segmentation, a computing device implements a segment system to receive a user input specifying coordinates of a digital image. The segment system computes receptive fields of a machine learning model based on the coordinates of the digital image. The machine learning model is trained on training data to generate segment masks for objects depicted in digital images. The segment system processes a portion of a feature map of the digital image using the machine learning model based on the receptive fields. A segment mask is generated for an object depicted in the digital image based on processing the portion of the feature map of the digital image using the machine learning model.

Abstract: Consumer and industrial 2-in-1 alkaline ware washing compositions providing both detergency and rinseability in a single cleaning composition are disclosed. Further benefits can be achieved with low levels of rinse aid surfactants in a rinse additive following the alkaline ware washing composition, including levels of rinse additive surfactant of about 500 ppm surfactant or less. Alkaline ware washing compositions and methods of using the same provide user-friendly, solid, ware washing compositions without the need for using a separate rinse aid composition.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for generating artistic images by applying an artistic-effect to one or more frames of a video stream or digital images. In one or more embodiments, the disclosed system captures a video stream utilizing a camera of a computing device. The disclosed system deploys a distilled artistic-effect neural network on the computing device to generate an artistic version of the captured video stream at a first resolution in real time. The disclosed system can provide the artistic video stream for display via the computing device. Based on an indication of a capture event, the disclosed system utilizes the distilled artistic-effect neural network to generate an artistic image at a higher resolution than the artistic video stream. Furthermore, the disclosed system tunes and utilizes an artistic-effect patch generative adversarial neural network to modify parameters for the distilled artistic-effect neural network.

Abstract: This disclosure provides a novel method and system for characterizing morphodynamic profiles of objects, such as biological entities. This disclosure provides a shape, appearance, and motion (SAM) phenotype Observation Tool (SPOT). SPOT establishes a standardized SAM “phenome,” image descriptors resembling single-cell transcriptomes, to comprehensively quantify a cell's instantaneous state without prior knowledge. SPOT also establishes a standardized workflow for temporal analysis. SPOT is a generalist tool, applicable to any live-cell imaging and advances biomedical discovery through its standardized, unbiased, streamlined workflow to quantify phenotypic heterogeneity and predict phenotype-genotype-function coupling.

Abstract: A method for performing efficient mixed-precision search for an artificial neural network (ANN) includes training the ANN by sampling selected candidate quantizers of a bank of candidate quantizer and updating network parameters for a next iteration based on outputs of layers of the ANN. The outputs are computed by processing quantized data with operators (e.g., convolution). The quantizers converge to optimal bit-widths that reduce classification losses bounded by complexity constrains.

Abstract: A circuit board assembly includes an inner circuit substrate, a first outer circuit substrate, a second outer circuit substrate, a heat conducting block, an electronic component, and a reinforcing plate. The first outer circuit substrate and second outer circuit substrate are disposed on surfaces of the inner circuit substrate. The heat conducting block penetrates through the inner circuit substrate and connects to the first outer circuit substrate and the second outer circuit substrate. The heat conducting block made of aluminum nitride. An electronic component at least partially accommodated in the heat conducting block. The reinforcing plate is disposed on a surface of the second outer circuit substrate corresponding to the electronic component and faces away from the electronic component. The present disclosure further provides a method for manufacturing the circuit board assembly.

Abstract: Provided are a gene sequencing method, apparatus and device, and a medium. The method includes: acquiring a gene sample to be detected and a preset read length; determining a sample type of each sample included in the gene sample; sequencing, for each sample in the gene sample, each short sequence of the sample based on a sequencing sequence corresponding to the sample type of the sample, until the gene sequence in each short sequence of the sample is sequenced to the preset read length, to obtain intermediate stage sequencing result data of each short sequence in the sample; and sending the intermediate stage sequencing result data of each short sequence in each sample to a target server, enabling the target server to perform data analysis on the intermediate stage sequencing result data of each short sequence in each sample, to obtain an intermediate stage detection report.

Abstract: A redox flow battery that is charged and discharged by supply of a positive electrode electrolyte and a negative electrode electrolyte to a battery cell including a positive electrode, a negative electrode, and a diaphragm interposed between the positive electrode and the negative electrode, wherein the positive electrode electrolyte and the negative electrode electrolyte are molten salts, the positive electrode electrolyte contains a trivalent titanium ion and a tetravalent titanium ion, and the negative electrode electrolyte contains a divalent titanium ion and a trivalent titanium ion.

Abstract: Methods and systems are provided for generating enhanced image. A neural network system is trained where the training includes training a first neural network that generates enhanced images conditioned on content of an image undergoing enhancement and training a second neural network that designates realism of the enhanced images generated by the first neural network. The neural network system is trained by determine loss and accordingly adjusting the appropriate neural network(s). The trained neural network system is used to generate an enhanced aesthetic image from a selected image where the output enhanced aesthetic image has increased aesthetics when compared to the selected image.

Abstract: Systems and methods for measuring relative displacement between at least two flexible elongate instruments within a body lumen are provided. A system includes a first flexible elongate instrument comprising a plurality of spatial encoding markers and a second flexible elongate instrument comprising two detectors. Each detector comprises a single element sensor configured to obtain a signal from the spatial encoding markers. The single element sensor of one of the two detectors is offset from the single element sensor of the other of the two detectors. The first and second flexible elongate instruments are configured for relative movement within a body lumen. The system further includes a controller configured to measure relative displacement of the first and second flexible elongate instruments based on the signals obtained from the two detectors and a detected offset of the obtained signals.

Abstract: Systems and methods for the placement of an endoluminal device are provided. A delivery system for endoluminal devices includes a delivery catheter comprising an imaging sensor and a position sensor. The position sensor is located at a known distance from the imaging sensor and configured to sense relative position to an element with a position code that is readable by the position sensor. The delivery catheter is configured for mounting an endoluminal device on the delivery catheter at a known distance from the imaging sensor or position sensor. The imaging sensor, the position sensor, or both the imaging sensor and the position sensor can be used for intravascular imaging of an anatomical location, guidance for deployment of the endoluminal device, confirmation of the placement of the endoluminal device at the anatomical location, or any combination thereof.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating image mattes for detected objects in digital images without trimap segmentation via a multi-branch neural network. The disclosed system utilizes a first neural network branch of a generative neural network to extract a coarse semantic mask from a digital image. The disclosed system utilizes a second neural network branch of the generative neural network to extract a detail mask based on the coarse semantic mask. Additionally, the disclosed system utilizes a third neural network branch of the generative neural network to fuse the coarse semantic mask and the detail mask to generate an image matte. In one or more embodiments, the disclosed system also utilizes a refinement neural network to generate a final image matte by refining selected portions of the image matte generated by the generative neural network.