Abstract: An aqueous polyurethane dispersion and a textile are provided. The aqueous polyurethane dispersion includes water and a bio-based polyurethane. The bio-based polyurethane includes bio-based polyester polyol, hydrophilic polyol, isocyanate, and hydrophilic compound. A weight ratio of the bio-based polyester polyol to the hydrophilic polyol is 2.7:1 to 5.3:1.

Abstract: In an approach for road section recognition using multi-modal cognitive mechanism, a processor receives an audio signal from a road test. A processor processes the audio signal to generate an acoustic spectrum density distribution map to identify a respective at least one road section switching point in a first mode. A processor processes a spectrogram of the audio signal to identify the respective at least one road section switching point in a second mode. A processor uses a machine learning model to predict an expected sound at each frame of the audio signal, to calculate a similarity between the expected sound and an actual sound, and to identify the respective at least one road switching point when the similarity is lower than a pre-set similarity threshold in a third mode. A processor combines results of the three modes to obtain a final set of road section switching points.

Abstract: Various embodiments include a method for product quality inspection on a group of products. The method may include: getting for each product in the group of products: image, value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result; training a neural network. A layer of the neural network comprises at least one first neuron and at least one second neuron; each first neuron represents a known fabrication parameter affecting quality of the group of products and each second neuron represents an unknown fabrication parameter affecting quality of the group of products; and the images of the group of products are input to the neural network, the quality evaluation results are output of the neural network, and the value of each first neuron is set to the value for the known fabrication parameter the first neuron representing.

Abstract: Microelectronic devices include a stack structure with a vertically alternating sequence of insulative structures and conductive structures arranged in tiers. A series of slit structures extends through the stack structure and divides the stack structure into a series of blocks. In a progressed portion of the series of blocks, each block comprises an array of pillars extending through the stack structure of the block. Also, each block—in the progressed portion—has a different block width than a block width of a neighboring block of the progressed portion of the series of blocks. At least one pillar, of the pillars of the array of pillars in the progressed portion, exhibits bending. Related methods and electronic systems are also disclosed.

Abstract: A graft polymer is provided, which includes a polymer backbone with a plurality of hydroxy groups, protection group modified histidine grafted onto the side of the polymer backbone, and hydrophilic polymer having terminal reactive group grafted onto the side of the polymer backbone. The graft polymer coating can be applied to metal material to form a composite material, which can be implanted into an organism to reduce adhesion problems.

Abstract: A modularized respiratory treatment apparatus provides various respiratory pressure treatments. The apparatus may be formed by discrete connectable modules such as a flow generator module, alarm module and/or humidifier module. Each module may include its own external casing or housing to independently retain or enclose the respective components that serve the function of the module. Different modules may be adapted with different components and functionalities and may be readily coupled using standardized gas and electrical connection configurations that have flow and communication paths that extend through the modules. When coupled, operation of the respiratory treatment apparatus may be controlled by detection of different modules, such as the alarm module that generates visual and/or audible alarms based on detected conditions, so as to selectively enable or disable different respiratory treatments.

Abstract: The present technology relates to a headgear for a patient interface, comprising one or more straps each having a first end for connecting to a mask. The first end of each strap comprises a connection portion which is grippable by a user to pull the strap to increase a tension in the strap, a first rigid member and a second rigid member that extends from a resilient carrier that is connected to the connection portion. The second rigid member is movable relative to the first rigid member when the connection portion is pulled. At least part of the second rigid member is arranged to strike the first rigid member to cause at least an audible alert when the second rigid member travels further than a threshold distance. The resilient carrier is constructed and arranged such that the threshold distance corresponds to a desired tension limit for the strap.

Abstract: A rinse-off hair treatment product with a multi-chamber tube package that can contain a dual-phase rinse-off hair treatment composition that can provide a warming sensation and hair conditioning. The multi-chamber tube package can be a tube-in-tube package with an outer tube with an outer chamber that contains a conditioning composition and an inner tube with an inner chamber that contains a warming composition. The inner chamber is fluidly connected to one or more central orifices by an inner nozzle channel and the outer channel is fluidly connected to one or more outer orifices by an outer channel. The ratio of the area of the central orifice(s) to the outer orifice(s) can be greater than 1. The ratios can help the product dispense as a single stream with two visible phases, which has been found to prompt the consumer to intuitively mix the composition, thereby activating a warming sensation.

Abstract: Various embodiments include a method for product quality inspection on a group of products. The method may include: getting for each product in the group of products: image, value for each known fabrication parameter affecting quality of the group of products, and quality evaluation result; training a neural network. A layer of the neural network comprises at least one first neuron and at least one second neuron; each first neuron represents a known fabrication parameter affecting quality of the group of products and each second neuron represents an unknown fabrication parameter affecting quality of the group of products; and the images of the group of products are input to the neural network, the quality evaluation results are output of the neural network, and the value of each first neuron is set to the value for the known fabrication parameter the first neuron representing.

Abstract: A semiconductor device is provided. The semiconductor device includes a substrate and a plurality of nanowires. The substrate has an upper surface. The nanowires are stacked on the upper surface of the substrate along a first direction. The nanowires include a triangle in a cross section, and the nanowires include a plane extending along a second direction, a first down-slant facet on a (111) plane, and a second down-slant facet on an additional (111) plane.

Abstract: This application discloses a drive circuit of a bridge arm switching transistor, a drive circuit, and a power converter. The bridge arm switching transistor includes a first switching transistor and a second switching transistor. A first terminal of the first switching transistor is connected to a power supply, a second terminal of the first switching transistor is connected to a first terminal of the second switching transistor, and a second terminal of the second switching transistor is grounded. The drive circuit includes a low-voltage region and at least two high-voltage regions isolated which include a first high-voltage region and a second high-voltage region. A semiconductor device configured to drive the second switching transistor is disposed in the low-voltage region. P-type semiconductor devices are disposed in each of the first high-voltage region and the second high-voltage region, and the P-type semiconductor devices are configured to drive the first switching transistor.

Abstract: A method, computer system, and a computer program product for optical character recognition training are provided. A text image and plain text labels for the text image may be received. The text image may include words. The plain text labels may include machine-encoded text corresponding to the words. Semantic feature vectors for the words, respectively, may be generated based on the plain text label. The text image, the plain text labels, and the semantic feature vectors may be input together into a machine learning model to train the machine learning model for optical character recognition. The plain text labels and the semantic feature vectors may be constraints for the training.

Abstract: The present application provides nerve growth factor (NGF) variants with improved in vivo stability, methods for producing and purifying NGF variants, as well as potential therapeutic applications.

Abstract: A cultivation enclosure for growing crops includes a chamber. The chamber includes a base and a lid configured to cover the base. The chamber is connected to a rack. The rack includes one or more inlets and one or more outlets. The rack is configured to dispense water and minerals into the chamber through the one or more inlets or discharge water from the chamber through the one or more outlets.

Abstract: A method, system, and computer program product for detecting and monitoring a signal is provided. The method includes detecting an alignment point for a periodic signal segment of a periodic signal generated by an apparatus being monitored for standard functionality In response, the apparatus is activated from a period prior to the alignment point to an end point of the periodic signal segment and a first point of the periodic signal segment is located. Likewise, a second point of an additional periodic signal segment of the periodic signal is located. The periodic signal is normalized based on results of locating the first point and the second point.

Abstract: The present disclosure discloses a video description generation method and apparatus, a video playing method and apparatus, and a computer-readable storage medium. The method includes: extracting video features, and obtaining a video feature sequence corresponding to video encoding moments in a video stream; encoding the video feature sequence by using a forward recurrent neural network and a backward recurrent neural network, to obtain a forward hidden state sequence and a backward hidden state sequence corresponding to each video encoding moment; and positioning, according to the forward hidden state sequence and the backward hidden state sequence, an event corresponding to each video encoding moment and an interval corresponding to the event at the video encoding moment, thereby predicting a video content description of the event.

Abstract: Aspects of the invention include generating a plurality of predictions that each define a plurality of future inputs for a model. A deviation curve is generated by determining a distance between each prediction of the plurality of predictions and a respective known data point of a plurality of known data points. One or more points in the deviation curve are sampled and the sampled points are compared to a low threshold and a high threshold. A judgement is determined for each prediction to determine whether the respective prediction will be accepted or denied as an input to the model. The future inputs for the model are modified based on the judgments.

Abstract: A method for decolorization of polyester fabrics is provided. The method for decolorization of polyester fabrics includes putting polyester fabrics into an extraction cell. The method for decolorization of polyester fabrics also includes making a supercritical fluid and a co-solvent flow into the extraction cell. The method for decolorization of polyester fabrics further includes adjusting the temperature in the extraction cell to be greater than or equal to the glass transition temperature of the polyester fabrics, so that the supercritical fluid and the co-solvent perform a decolorization reaction on the polyester fabrics. Moreover, the method for decolorization of polyester fabrics includes making the supercritical fluid and the co-solvent flow out of the extraction cell. The method for decolorization of polyester fabrics also includes taking the polyester fabrics out of the extraction cell.

Abstract: An error handling method performed by a computing device, the computing device comprises at least one computing device component and a board management controller (BMC) coupled to the at least one computing device component, the method comprises the steps of a BMC detecting an error relating to at least one computing device component, the BMC determining from a database a technical specification to fix the error and generating information for accessing the technical specification. An error handling apparatus comprises a BMC and at least one computing device component coupled to the BMC. The BMC is configured to detect an error relating to the at least one computing device component, determine from in a database a technical specification to fix the error, and generate information for accessing the technical specification.

Abstract: CNS metastases are a major cause of cancer deaths with few therapeutic options for treatment. Monoclonal anti-body-based therapy is one of the most successful therapeutic strategies for cancer; however, its efficacy is limited against CNS metastases due to insufficient CNS delivery. Here, we show significantly improved antibody delivery to the CNS using novel timed-release nanocapsules that encapsulate individual antibodies within a crosslinked phosphorylcholine polymer and gradually release cargo through hydrolysable crosslinkers. A single course of rituximab (RTX) nanocapsule treatment elevates RTX levels in the CNS by nearly 10-fold compared to native RTX. We improved control of CNS metastases in a murine xenograft model of non-Hodgkin lymphoma; moreover, using a xenograft humanized BLT mouse model, lymphomas were eliminated with a single course of RTX nanocapsule treatment. This approach is useful for treatment of cancers with CNS metastases and is generalizable for delivery of any antibody to the CNS.