Abstract: The invention provides an associative polymer, a powder, and a process for making a powder including, networking one or more associative polymers and one or more optional surfactants to form a wet gel, and forming a powder from the wet gel, wherein the associative polymer(s) have a weight average molecular weight of from about 10 kDa to about 2,000 kDa.

Abstract: Compositions and colloidal particles are provided that may be used to improve a papermaking process. The compositions and colloidal particles may include a polymer and an inorganic salt. A papermaking process carried out using the presently disclosed compositions and colloidal particles may produce a paper product that has increased strength properties.

Abstract: Using a deep learning inference system, respective similarities are measured for each of a set of intermediate representations to input information used as an input to the deep learning inference system. The deep learning inference system includes multiple layers, each layer producing one or more associated intermediate representations. Selection is made of a subset of the set of intermediate representations that are most similar to the input information. Using the selected subset of intermediate representations, a partitioning point is determined in the multiple layers used to partition the multiple layers into two partitions defined so that information leakage for the two partitions will meet a privacy parameter when a first of the two partitions is prevented from leaking information. The partitioning point is output for use in partitioning the multiple layers of the deep learning inference system into the two partitions.

Abstract: The disclosed matter provides integrated metasurface devices for conversion between a waveguide mode and a free-space optical wave with a designer wavefront. In exemplary embodiments, the integrated metasurface devices include a thin waveguide, a waveguide taper, a leaky-wave metasurface defined within a high refractive index layer of dielectric material, and a low refractive index substrate. The device can manipulate all the four optical degrees of freedom of the free-space wavefront, namely: amplitude, phase, polarization orientation, and polarization ellipticity, by using a leaky-wave metasurface composed of meta-units with four structural degrees of freedom.

Abstract: Deep learning training service framework mechanisms are provided. The mechanisms receive encrypted training datasets for training a deep learning model, execute a FrontNet subnet model of the deep learning model in a trusted execution environment, and execute a BackNet subnet model of the deep learning model external to the trusted execution environment. The mechanisms decrypt, within the trusted execution environment, the encrypted training datasets and train the FrontNet subnet model and BackNet subnet model of the deep learning model based on the decrypted training datasets. The FrontNet subnet model is trained within the trusted execution environment and provides intermediate representations to the BackNet subnet model which is trained external to the trusted execution environment using the intermediate representations. The mechanisms release a trained deep learning model comprising a trained FrontNet subnet model and a trained BackNet subnet model, to the one or more client computing devices.

Abstract: The present disclosure provides methods and compositions for strengthening paper. The methods may include a step of spraying an anionic polymer onto a paper sheet to increase the strength of the paper sheet. The anionic polymer may have amino groups, amide groups, or a combination of amino groups and amide groups. These groups may be functionalized with an aldehyde. Methods may also include a step of adding a wet end composition to a wet end of the papermaking process.

Abstract: Mechanisms are provided for detecting abnormal system call sequences in a monitored computing environment. The mechanisms receive, from a computing system resource of the monitored computing environment, a system call of an observed system call sequence for evaluation. A trained recurrent neural network (RNN), trained to predict system call sequences, processes the system call to generate a prediction of a subsequent system call in a predicted system call sequence. Abnormal call sequence logic compares the subsequent system call in the predicted system call sequence to an observed system call in the observed system call sequence and identifies a difference between the predicted system call sequence and the observed system call sequence based on results of the comparing. The abnormal call sequence logic generates an alert notification in response to identifying the difference.

Abstract: Apparatuses (e.g., systems and devices) and methods to view otherwise hidden connectivity of networking devices. An electronic device such as a network device connected to a variety of different devices, may be observed through a real-time image onto which information about the connectivity and/or connections may be display to show identity, connectivity state and other information associated with ports of the network device(s). These methods may be implemented on a mobile device used to capture images of the network device and present an overlay of virtual objects on the captured images to a user in real time. The virtual objects may dynamically move or change shape in real time depending on the movement of the mobile device. One or more filtering techniques may be used to stabilize the virtual objects with respect to the captured images.

Abstract: The systems described herein can be used to modulate either the phase, the amplitude, or both of an input light wave using micro-resonators to achieve desired degrees and/or types of modulation.

Abstract: A process for making down a powder is provided. The process comprises making down a powder comprising one or more acrylamide-based polymer(s) to form a made down powder solution, comprising blending a mixture of the powder and a solvent for no more than about 15 minutes to yield the made down powder solution, wherein the powder comprises particles having been dry-cut to a median particle size of from about 200 microns to about 10,000 microns.

Abstract: A solution including an associative polymer, a cyclodextrin polymer, and a solvent is provided. The associative polymer is a powder in the absence of the solvent. Additionally, a method of making down an associative polymer powder to form a solution is provided. The method includes blending a mixture of the powder, a cyclodextrin polymer, and a solvent to yield the solution, wherein the powder includes particles having been dry-cut to a median particle size of from about 200 microns to about 10,000 microns. Additionally, a powder product is provided. The powder product includes from about 80 wt. % to about 99.9 wt. % associative polymer; and from about 0.1 wt. % to about 20 wt. % of a cyclodextrin polymer.

Abstract: Apparatuses (e.g., systems and devices) and methods to view otherwise hidden connectivity of networking devices. An electronic device such as a network device connected to a variety of different devices, may be observed through a real-time image onto which information about the connectivity and/or connections may be display to show identity, connectivity state and other information associated with ports of the network device(s). These methods may be implemented on a mobile device used to capture images of the network device and present an overlay of virtual objects on the captured images to a user in real time. The virtual objects may dynamically move or change shape in real time depending on the movement of the mobile device. One or more filtering techniques may be used to stabilize the virtual objects with respect to the captured images.

Abstract: Compositions and colloidal particles are provided that may be used to improve a papermaking process. The compositions and colloidal particles may include a polymer and an inorganic salt. A papermaking process carried out using the presently disclosed compositions and colloidal particles may produce a paper product that has increased strength properties.

Abstract: An approach is provided that identifies Internet of Things (IoT) network anomalies. The approach receives IoT endpoint device data at an attestation entity included in the network. The data is logged to a secured ledger and analyzed. Conditions pertaining to the IoT endpoint devices are analyzed with the analysis being based on a set of network policy data. Based on the analysis, the approach detects network anomalies that correspond to the IoT endpoint devices. These network anomalies and their corresponding IoT endpoint devices are then reported.

Abstract: A tool for inserting a catheter into a body of a patient is provided. The tool comprises: a housing in which at least a portion of the catheter is initially disposed; a needle distally extending from the housing, at least a portion of the catheter disposed over the needle; a guidewire initially disposed within the needle partially; and an advancement assembly for distally advancing the catheter. The housing comprises: a first portion comprising a distal part and a proximal part; and a second portion engaged with the first portion, wherein the distal part of the first portion is configured to be able to distally slide with respect to the second portion to release the engagement between the first portion and the second portion. The advancement assembly includes a safety cap which is initially disposed over the needle and is configured to be locked to the housing when distally sliding to a position of isolating the tip of the needle within the safety cap.

Abstract: The systems described herein can be used to modulate either the phase, the amplitude, or both of an input light wave using micro-resonators to achieve desired degrees and/or types of modulation.

Abstract: A system for continuously making-down a dry powder material is provided. The system may include a liquid supply system, a material feed system, a vessel, a filter, and an agitator. The vessel may receive a continuous supply of liquid from the liquid supply system and a continuous supply of dry powder from the material feed system. The liquid and material may be discharged continuously from the vessel. A filter may sealingly extend across the outlet to filter the solution exiting the vessel. The filter may include an upstream surface in contact with the inner volume of the vessel. The agitator may be disposed within the vessel and may be configured to agitate the contents of the vessel. The agitator may include a wiping member configured to contact the upstream surface of the filter while agitating the contents.

Abstract: Mechanisms are provided to implement an enhanced privacy deep learning system framework (hereafter “framework”). The framework receives, from a client computing device, an encrypted first subnet model of a neural network, where the first subnet model is one partition of multiple partitions of the neural network. The framework loads the encrypted first subnet model into a trusted execution environment (TEE) of the framework, decrypts the first subnet model, within the TEE, and executes the first subnet model within the TEE. The framework receives encrypted input data from the client computing device, loads the encrypted input data into the TEE, decrypts the input data, and processes the input data in the TEE using the first subnet model executing within the TEE.

Abstract: Mechanisms are provided to implement an enhanced privacy deep learning system framework (hereafter “framework”). The framework receives, from a client computing device, an encrypted first subnet model of a neural network, where the first subnet model is one partition of multiple partitions of the neural network. The framework loads the encrypted first subnet model into a trusted execution environment (TEE) of the framework, decrypts the first subnet model, within the TEE, and executes the first subnet model within the TEE. The framework receives encrypted input data from the client computing device, loads the encrypted input data into the TEE, decrypts the input data, and processes the input data in the TEE using the first subnet model executing within the TEE.

Abstract: A tool (10) for inserting a catheter (22) into a body of a patient is provided. The tool (10) comprises: a housing (12, 40, 50) in which at least a portion of the catheter (22) is initially disposed; a needle (16) distally extending from the housing (12, 40, 50), at least a portion of the catheter (22) disposed over the needle (16); a guidewire (32) initially disposed within the needle (16) partially; and an advancement assembly (20) for distally advancing the catheter (22). The housing (12, 40, 50) comprises: a first portion (12A, 42, 52) comprising a distal part (42A, 52A) and a proximal part (42B); and a second portion (12B, 44, 54) engaged with the first portion (12A, 42, 52), wherein the distal part (42A, 52A) of the first portion (12A, 42, 52) is configured to be able to distally slide with respect to the second portion (12B, 44, 54) to release the engagement between the first portion (12A, 42, 52) and the second portion (12B, 44, 54).