Abstract: The subject application relates to a bonded abrasive for gear power honing. An abrasive article including a bonded abrasive body having abrasive particles and a bond material. The abrasive body can include an inner annular surface with at least 1 tooth. The abrasive article can provide an average Ff? of less than 2.0 according to a Gear Power Honing Test.

Abstract: An electrode plate stacking method includes: determining, based on a first electrode plate, a conveying order of a plurality of second electrode plates, the first electrode plate being a continuous electrode plate, the plurality of second electrode plates including at least one upper electrode plate and at least one lower electrode plate, the plurality of second electrode plates being discontinuous electrode plates, and the conveying order being used for conveying the at least one upper electrode plate and the at least one lower electrode plate alternately; generating an identifier sequence for the plurality of second electrode plates based on the conveying order; and collecting first image data of each of the plurality of second electrode plates based on the identifier sequence in a process of conveying the plurality of second electrode plates in the conveying order.

Abstract: The subject application relates to bonded abrasive with low wetting bond material. An abrasive article including a bonded abrasive body having a particular MOR/EMOD ratio associated with a particular bond vol %. The body also can include a) an average Bond Post Area (BPA) of not greater than microns2; b) an average Bond Post Count (BPC) of at least 140 per 1536 mm2; c) an average bond wetting radius of at least 30/microns; or d) a combination of a) and b).

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: Various examples are provided related to the application of a kernel neural network (KNN) to the analysis of high dimensional and ultrahigh dimensional data for, e.g., risk prediction. In one embodiment, a method includes training a KNN with a training set to produce a trained KNN model, determining a likelihood of a condition based at least in part upon an output indication of the trained KNN corresponding to one or more phenotypes, identifying treatment or prevention strategy for an individual based at least in part upon the likelihood of the condition. The KNN model includes a plurality of kernels as a plurality of layers to capture complexity between the data with disease phenotypes. The training set of data includes genetic information applied as inputs to the KNN and the phenotype(s), and the output indication is based upon analysis of data comprising genetic information from the individual by the trained KNN.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: Embodiments relate to decoding communications with token sky maps. At least one electronic communication including emoticons having a non-original meaning is received. A candidate meaning is determined for the emoticons having the non-original meaning in the at least one electronic communication based at least in part on token neighborhood distribution structures. The candidate meaning for the emoticons having the non-original meaning is caused to be displayed on at least one device.

Abstract: The present application discloses a semi-dominant molecular marker related to maize dwarf and an application thereof, and relates to the technical field of maize molecular breeding. The molecular marker related to the maize dwarf is caused by a non-synonymous mutation from G to A in a maize gene Zm00001d013465, and the molecular marker is a nucleotide sequence composed of the non-synonymous mutation site and its upstream and downstream bases. The present application identifies a dwarf mutant, coded as E5779, from an EMS mutation population with maize B73 as the genetic background. By genome resequencing and Mutmap mapping, it is found that the mutant is caused by the non-synonymous mutation from G to A in the gene Zm00001d013465. The molecular marker is developed based on this, and the analysis and utilization of E5779 are helpful to improve the maize plant height and density-tolerant breeding, it has an important breeding application potential.

Abstract: A method, computer system, and a computer program product for syllable-based pronunciation help are provided. An input text in a first language may be received. A selection of a target language that is different from the first language may be received. From the target language, syllables with a pronunciation most closely matching a pronunciation of the input text in the first language are obtained. The obtaining is based on a comparison of one or more spectrograms for the input text with one or more spectrograms for text of the target language. The obtained syllables in the target language are presented.

Abstract: A light-emitting diode display panel, a manufacturing method thereof, and an organic light-emitting diode display device are provided. The light-emitting diode display panel includes: a base substrate including a display region and a peripheral region surrounding the display region; a plurality of sub-pixels located in the display region and located at a side of the base substrate; a color-resistance layer located at a side of a second electrode in the sub-pixel away from the base substrate; and a light-blocking structure located in the peripheral region and being an annular structure surrounding the plurality of sub-pixels. The light-blocking structure includes a first light-blocking structure and a second light-blocking structure. The first light-blocking structure includes at least one interval extending in a direction from the display region pointing to the peripheral region. The second light-blocking structure at least fully fills the interval.

Abstract: A mannose derivative is an isonitrile-containing mannose derivative of formula (I), including different linking groups X: A radioactive preparation is provided, including a radiolabeled compound formed by radiolabeling the mannose derivative with a radionuclide. An application of the radioactive preparation in the diagnosis and treatment of tumors is also provided.

Abstract: A distributed fiber-optic acoustic sensing system and a signal processing method. The distributed fiber-optic acoustic sensing system is based on a high spatial resolution distributed fiber-optic acoustic sensor. The interval between adjacent sensing units is centimeter or millimeter level. Through specific digital signal processing, signal enhancement can be realized, noise in the system and environment are suppressed, at the same time, problems such as interference fading is solved, and the sensor signal-to-noise ratio of subunits can be increased by two to three orders of magnitude. Each subunit can serve as an independent high-sensitivity sensor for sensing. The multiple subunits can form one or more new sensor arrays. The azimuth estimation and spatial orientation of signal sources can be realized by the array signal processing method.

Abstract: The present invention relates to the field of pharmaceutical and chemical engineering, and specifically relates to a weakly acidic microenvironment-sensitive aptamer for tumors, a triptolide conjugate. The conjugate is formed by conjugation between the 14-position hydroxyl group of triptolide and the aptamer via an acetal ester linking bond, which is an acid-sensitive linking bond with a cleavage condition of (pH=3.5-6.5), which is much less pH-sensitive and is more likely to cleave under the tumor microenvironment. Based on the characteristics of the aptamer targeting the highly expressed proteins on the membrane surface of tumor cells, the conjugate delivered triptolide targeted to tumor cells and mediated endocytosis to reach the lysosome; based on the characteristics of the acidic environment of lysosomes, the acetal ester linking bond released intact triptolide in the lysosomal acidic environment, targeting and killing of tumor cells.

Abstract: An energy harvesting roadway that includes a plurality of road segments and a power storage device electrically coupled to the plurality of road segments. Each of the plurality of road segments can include a surface asphalt layer, a first conductive asphalt layer located under the surface asphalt layer, a piezoelectric-based asphalt layer located between the first conductive layer and a second conductive layer located above a base asphalt layer. The piezoelectric-based asphalt layer can include a plurality of rigid piezoelectric elements and an insulating filler.

Abstract: A connection manner identification method includes power sourcing equipment separately sending load adjustment indications to powered devices by using data ports, where each load adjustment indication in the load adjustment indications indicates a corresponding powered device to adjust a load. The powered devices are separately connected to power supply ports of the power sourcing equipment by using power supply cables, and the powered devices are separately connected to the data ports of the power sourcing equipment by using data cables. The power sourcing equipment obtains output power changes of the power supply ports caused by load adjustment of the powered devices, and the power sourcing equipment determines, based on the output power changes, a first data port and a power supply port that are connected to a same powered device in the powered devices.

Abstract: It has been discovered that phosphorylation-dependent uncoupling of endothelial nitric oxide synthase (eNOS) plays an important role in endothelial cell (EC) barrier disruption. Compositions and methods to reduce or prevent eNOS uncoupling are disclosed. Decoy peptides that can prevent phosphorylation and mitochondrial redistribution of eNOS, reduce eNOS uncoupling, and preserve EC barrier function, and uses thereof, are described. The peptides improve lung vascular integrity in a mouse model of VILI. Thus, the decoy peptides can be used to treat or prevent diseases or disorders associated with increased vascular permeability such as ALI, ARDS, and VILI.