Abstract: An inflatable penile prosthesis can include, a reservoir, an inflatable member and a pump assembly. The pump assembly can include at least one valve comprising an entry portion, a middle portion, an exit portion, and exit tube interface, and a valve member. The exit portion can include a first landing portion including an interior portion, the interior portion of the first landing portion being semicircular about a longitudinal exit axis, the longitudinal exit axis extending through a center of the exit portion parallel to a direction that an exit tube interface extends from the exit portion, and a first channel portion adjacent to the first landing portion and including an interior portion, the interior portion of the first channel portion being farther from the longitudinal exit axis than the interior portion of the first landing portion.

Abstract: A method for tailoring a document for viewing on a mobile device includes obtaining residence information for an individual who is required to sign the document. The document is tailored to the residence of the individual. This includes hiding or condensing one or more portions of the document that pertain to laws in other jurisdictions. The document is permitted to be accessible by the mobile device.

Abstract: The present invention describes a heated auger assembly and method for applying powder or liquid, such as efficacious concentrations of DCD, to a substrate granule, such as granular urea. The heated auger assembly includes a mixing auger comprising a first and second end, and at least one of a heat applicator. The method of applying powder and/or liquid raw material to a substrate granule includes heating the substrate granules in a pre-heater, such as a fluidized bed, then discharging the heated substrate granules from the pre-heater into a heated auger assembly, which applies heat to the substrate granules, facilitating the coating of the substrate granules with the powder and/or liquid raw material.

Abstract: Disclosed is a sealing composition for treating a metal substrate comprising: a polyolefin component; and a colloidal layered silicate. Also disclosed is a system for treating a metal substrate comprising: a cleaner composition; and/or a pretreatment composition for treating at least a portion of the substrate, the pretreatment composition comprising a Group IVB metal; and a sealing composition for treating at least a portion of the substrate treated with the cleaner composition and/or the pretreated composition, the sealing composition comprising a polyolefin component. Also disclosed is a method of treating a substrate comprising contacting at least a portion of a surface of the substrate with any of the compositions disclosed herein or any of the systems disclosed herein.

Abstract: Systems and methods for using machine learning to dynamically determine shipping information are disclosed. According to certain aspects, an electronic device may receive location data for a set of vehicles that may be associated with a shipping agreement, wherein the electronic device may input the location data and shipping agreement parameters into a machine learning model which outputs a set of likelihoods of the respective set of vehicles actually transporting products associated with the shipping agreement. The electronic device may enable a customer computing device to access this information along with any determined updates to the shipping agreement.

Abstract: According to various embodiments, a tunable optical device comprises a tunable optical metasurface on a substrate with an integrated driver circuit. In some embodiments, the tunable optical device includes a photon shield layer to prevent optical radiation from disrupting operation of the driver circuit. In some embodiments, the tunable optical device includes a diagnostic circuit to detect and disable defective optical structures of the metasurface. In some embodiments, the tunable optical device includes an integrated heater circuit that maintains a liquid crystal of the metasurface above a minimum operating temperature. In some embodiments, the tunable optical device includes an integrated lidar sequencing controller, a steering pattern subcircuit, and a photodetector circuit.

Abstract: A medical product includes a bladder, a filtration device, and a sterile product concentrate. The bladder has a perimeter seal and defining a sterile chamber. The filtration device includes a stem and a filter membrane disposed in line with the stem. The stem extends through the perimeter seal and has an inlet end accessible from outside of the perimeter seal and an outlet end in fluid communication with the sterile chamber. The filter membrane can have a nominal pore size in a range of approximately 0.1 ?m to approximately 0.5 ?m, wherein the filter membrane is shaped as a hollow fiber with a wall and pores residing in the wall of the fiber. The sterile product concentrate is disposed in the sterile chamber and adapted to be reconstituted by the introduction of a pharmaceutical fluid into the chamber through the filtration device.

Abstract: An update management system includes one or more processors that obtain collective data compiled from a group of computer devices that run an updated version of a software program. The collective data includes at least one of usage data of the computer devices in the group or user feedback directed to operation of the updated version of the software program. The one or more processors determine, based at least on an analysis of the collective data, that the updated version of the software program should be installed on a first computer device controlled by a first user, and generate a control signal to at least one of notify the first user that the updated version is recommended, schedule installation of the updated version, or automatically install the updated version on the first computer device.

Abstract: Paper towel rolls that exhibit novel combinations of physical properties, such as Basis Weight, Roll Density, and Roll Diameter, such that the paper towel rolls meet consumers' needs, and method for making such novel paper towel rolls and marketing such novel paper towel rolls are provided.

Abstract: A method includes accessing document including sentences, document being associated with configuration flag indicating whether ABSA, SLSA, or both are to be performed; inputting the document into language model that generates chunks of token embeddings for the document; and, based on the configuration flag, performing at least one from among the ABSA and the SLSA by inputting the chunks of token embeddings into a multi-task model. When performing the SLSA, a part of token embeddings in each of the chunks is masked, and the masked token embeddings do not belong to a particular sentence on which the SLSA is performed.

Abstract: Embodiments of a system and a method for classifying blocks of text at varying, possibly simultaneous, and possibly interacting levels of scope (e.g., sentence, paragraph, section, document) are disclosed. A system includes a processor coupled to: a data reader to receive an input comprising of a data stream, and convert the data stream into one or more logical data blocks of varying scopes. The system includes a dependency tree generator to create a dependency tree to define the scope and dependencies of each of a plurality of natural language processors (NL Processors) with respect to each other such that the dependency tree identifies when an input of a NL Processor (depender) depends on an output of another NL Processor (dependee). Each NL Processor is configured based on a type of at least one logical data block of the one or more logical blocks to which it applies.

Abstract: Systems, methods, articles of manufacture, and computer program products to: train a prediction model using a machine learning process, the prediction model configured to estimate whether further application of a hyperparameter tuning technique will cause an improvement in at least one of the hyperparameters; select the hyperparameters using the tuning technique; apply the prediction model to determine if further adjustment of the hyperparameters is likely to improve the success metric; and terminate the tuning technique when: accuracy of the prediction model in predicting improvement in a hyperparameter is above a predetermined accuracy threshold, and the prediction model predicts that further application of the tuning technique will not result in an improvement to the hyperparameter; or the accuracy of the prediction model in predicting improvement in the parameter is below the predetermined accuracy threshold, and an accuracy of hyperparameter adjustment is determined to be below a predetermined adjustment

Abstract: The various implementations described herein include a video camera assembly that includes: (1) a housing; (2) an image sensor positioned within the housing and having a field of view corresponding to a scene in the smart home environment; and (3) a concave-shaped front face positioned in front of the image sensor such that light from the scene passes through the front face prior to entering the image sensor; where the front face includes: (a) an inner section corresponding to the image sensor; and (b) an outer section between the housing and the inner section, the outer section having a concave shape that extends from an outer periphery of the outer section to an inner periphery of the outer section; and where the concave shape extends around an entirety of the outer periphery.

Abstract: Disclosed herein are techniques for using a generative adversarial network (GAN) to train a semantic parser of a dialog system. A method described herein involves accessing seed data that includes seed tuples. Each seed tuple includes a respective seed utterance and a respective seed logical form corresponding to the respective seed utterance. The method further includes training a semantic parser and a discriminator in a GAN. The semantic parser learns to map utterances to logical forms based on output from the discriminator, and the discriminator learns to recognize authentic logical forms based on output from the semantic parser. The semantic parser may then be integrated into a dialog system.

Abstract: Techniques for using enhanced logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system and inputting the utterance into a machine-learning model including a series of network layers. A final network layer of the series of network layers can include a logit function. The machine-learning model can map a first probability for a resolvable class to a first logit value using the logit function. The machine-learning model can map a second probability for a unresolvable class to an enhanced logit value. The method can also include the chatbot system classifying the utterance as the resolvable class or the unresolvable class based on the first logit value and the enhanced logit value.

Abstract: Techniques for noise data augmentation for training chatbot systems in natural language processing. In one particular aspect, a method is provided that includes receiving a training set of utterances for training an intent classifier to identify one or more intents for one or more utterances; augmenting the training set of utterances with noise text to generate an augmented training set of utterances; and training the intent classifier using the augmented training set of utterances. The augmenting includes: obtaining the noise text from a list of words, a text corpus, a publication, a dictionary, or any combination thereof irrelevant of original text within the utterances of the training set of utterances, and incorporating the noise text within the utterances relative to the original text in the utterances of the training set of utterances at a predefined augmentation ratio to generate augmented utterances.

Abstract: The present invention provides methods of treating a S. aureus bloodstream infection (bacteremia) to a patient in need thereof, the method comprising administering ceftobiprole as ceftobiprole miedocaril to the patient at a dosage corresponding to 500 mg of ceffobiprole every 6 hours on days 1 to 8 and 500 mg every 8 hours on days 9 onwards.

Abstract: Apparatuses, systems, and methods comprising acoustically absorptive air ducts comprising an internally positioned structure component as an endoskeleton and an air impervious inner layer, and an acoustically absorptive foam outer layer, environmental control systems comprising such air ducts, and vehicles incorporating such environmental control systems are disclosed with methods for manufacture and installations are disclosed.

Abstract: An example of an apparatus to transport utility-scale lithium-ion batteries in a racked and operational state. The apparatus includes a base and an isolation platform. In addition, the apparatus includes an isolator mounted on the base to support the isolation platform. The isolator is to dampen forces exerted on the isolation platform from the base. Furthermore, the apparatus includes a rack mounted onto the isolation platform. The rack is to secure a plurality of lithium-ion batteries to store energy at a utility-scale to be provided to a power distribution network. The plurality of lithium-ion batteries is racked in an operational state during transportation.

Abstract: The present disclosure is related to techniques for converting a natural language utterance to a logical form query and deriving a natural language interpretation of the logical form query. The techniques include accessing a Meaning Resource Language (MRL) query and converting the MRL query into a MRL structure including logical form statements. The converting includes extracting operations and associated attributes from the MRL query and generating the logical form statements from the operations and associated attributes. The techniques further include translating each of the logical form statements into a natural language expression based on a grammar data structure that includes a set of rules for translating logical form statements into corresponding natural language expressions, combining the natural language expressions into a single natural language expression, and providing the single natural language expression as an interpretation of the natural language utterance.