Abstract: A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and/or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

Abstract: A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and/or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

Abstract: The present invention discloses a process for preparation of high silica Y-zeolite by utilizing waste silica source. The steps include preparing a dilute nucleating agent, preparing a dense nucleating agent by mixing sodium silicate, sodium aluminate, deionized water and sodium hydroxide. Further, preparing an aluminosilicate gel by mixing the dilute nucleating agent with sodium silicate, aluminium sulphate, deionized water and dense nucleating agent, followed by crystallizing the aluminosilicate gel filtering and washing to obtain a Y-zeolite cake. The Y-zeolite is ammonia exchanged, dried and calcined to obtain high silica Y-zeolite.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to manage and securely store platform service records. An apparatus for monitoring a compute device, the apparatus comprising interface circuitry, non-volatile flash memory, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to analyze telemetry data obtained via a sensor of the compute device, the analyzing of the telemetry data to detect an undesired event, and storing, in response to detection of the undesired event, the telemetry data in a ledger, wherein the ledger is digitally signed to prevent unauthorized modification and stored in the non-volatile flash memory.

Abstract: A multiple layered print structure and apparatus to apply a design or image to fabric or cloth is disclosed. The structure may include one or more print layers printed on a substrate and an adhesive layer deposited on the print layer(s). The one or more print layer(s) and adhesive or resin layer may be deposited on the substrate in a pre-set pattern to form the shape profile for the design or image. The print layer(s) include inks or dyes for printing the print features and/or background color(s) of the image or design. The ink may be combined with a binder material to form the print layer(s). In some embodiments, the process includes the step of printing the multiple layered print structure using a combination of digital printing processes simplify the process for printing a design or image on fabric or cloth.

Abstract: A polymer is obtainable by a method comprising the reaction of: a) at least one rosin acid containing at least two conjugated carbon-carbon double bonds, b) at least one polydienophile compound comprising two or more carbon-carbon double bonds, c) at least one compound selected from the group consisting of polyhydroxyl compounds c1), polyepoxy compounds c2), polyamine compounds c3), polythiol compounds c4) and arbitrary combinations of two or more of the aforementioned compounds and d) at least one photoinitiator d1) and/or at least one co-initiator d2), wherein the at least one photoinitiator d1) and/or the at least one co-initiator d2) comprises at least one functional group being selected from the group of ester groups, carboxylic acid groups, carboxylic acid chloride groups, carboxylic acid anhydride groups, hydroxyl groups, thiol groups, primary amine groups, halogen groups, epoxy groups, isocyanate groups, isothiocyanate groups and arbitrary combinations of two or more of the aforementioned groups.

Abstract: Methods, systems, and devices for data alignment for memory are described. A memory device may implement individual time adjustments to align portions of a multilevel signal modulated by a modulation scheme with three levels. In some cases, signal paths for generating and transmitting the portions of the multilevel signal may reference a clock signal, and adjustable delay circuits may apply individual delays to the clock signal received at each signal path. For example, a first adjustable delay circuit may apply a first time adjustment to the clock signal received at a first signal path for generating a first portion. And, a second adjustable delay circuit may apply a second time adjustment to the clock signal received at a second signal path for generating a second portion. Applying the time adjustments to the signal paths may align the portions of the multilevel signal in time, compared to the clock signal.

Abstract: A method of deep neural network (DNN) modularization for optimal loading includes receiving, by an electronic device, a DNN model for execution, obtaining, by the electronic device, a plurality of parameters associated with the electronic device and a plurality of parameters associated with the DNN model, determining, by the electronic device, a number of sub-models of the DNN model and a splitting index, based on the obtained plurality of parameters associated with the electronic device and the obtained plurality of parameters associated with the DNN model, and splitting, by the electronic device, the received DNN model into a plurality of sub-models, based on the determined number of sub-models of the DNN model and the determined splitting index.

Abstract: A virtual Radio Access Network (vRAN) system (300) for provisioning a virtual Radio Access Network (RAN) that is portable across one or more RAN hardware platforms is provided. The virtual Radio Access Network (vRAN) system (300) includes a waveform development kit (WDK) (302), and a waveform execution environment (304). The waveform development kit (302) defines at least one portable Radio Access Network (RAN) application into a form that is instantiated on a RAN hardware (326). The waveform execution environment (304) (i) monitors real-time schedulable resources in real-time, and (ii) collects one or more statistics and monitors the one or more statistics for network automation. The waveform execution environment (304) includes a RAN hypervisor (314) that virtualizes at least one attribute of a spectral resource required to provision the RAN that is portable across at least one hardware platform of the one or more RAN hardware platforms in the RAN hardware.

Abstract: A method for dynamically rearranging one or more packages for delivery on a delivery vehicle in response to unforeseen changes in a pre-planned delivery route. The method detects, via one or more sensor-enabled shelves in a delivery vehicle, an address and package details of a respective delivery package. The method further integrates the one or more sensor-enabled shelves with a route map that depicts the pre-planned delivery route. The method further assigns new values to the one or more sensor-enabled shelves, in response to a change in the pre-planned delivery route, indicating a new sequence of delivery for each respective delivery package. The method further notifies a delivery person which delivery package is to be delivered at a current stop by illuminating the one or more sensor-enabled shelves containing the respective delivery package.

Abstract: A decomposition chamber for an exhaust aftertreatment system includes an inlet conduit centered on an inlet conduit axis and configured to receive exhaust, a decomposition conduit coupled to the inlet conduit, an endcap coupled to the decomposition conduit, and an injector coupled to the endcap and configured to provide reductant into the decomposition conduit along an injection axis. The decomposition chamber includes a guide swirl mixer coupled to at least one of the inlet conduit or the endcap. The guide swirl mixer includes a first portion disposed within the inlet conduit, and a second portion disposed within the decomposition conduit such that the inlet conduit axis extends through the second portion. The second portion extends at least partially around the injection axis.

Abstract: The present disclosure relates to the field of medicine and discloses a medical therapeutic device for monitoring and treating medical condition of patients. The device comprises an input unit, a plurality of sensors, a control unit, a waveform generator unit, and a coupling means. The input unit receives at least one input from a user. The sensors monitor a plurality of predetermined parameters associated with the health of a patient generate detection signals based on the monitored parameters. The control unit selects a program based on the input and the detection signals. The waveform generator unit generates a therapeutic signal of pre-determined values of at least one of voltage, current, and frequency based on the selected program for facilitating treatment of medical condition corresponding to the selected program.

Abstract: A read technique for both SLC (single level cell) and MLC (multi-level cell) cross-point memory can mitigate drift-related errors with minimal or no drift tracking. In one example, a read at a higher magnitude voltage is applied first, which causes the drift for cells in a lower threshold voltage state to be reset. In one example, the read at the first voltage can be a full float read to minimize disturb. A second read can then be performed at a lower voltage without the need to adjust the read voltage due to drift.

Abstract: An example method of operating a neuromodulation device to modify or achieve a desired arousal state in a patient may include determining the patient's desired arousal state, detecting one or more signals that are related to the desired arousal state, where the one or more signals are sensed from the patient or provided by an external source. The method also includes determining, via a controller circuit, a therapy parameter setting for the neuromodulation device based on the one or more signals, and generating, via the controller circuit, a control signal in the neuromodulation device to initiate or adjust an arousal state therapy program in accordance with the therapy parameter setting.

Abstract: The invention relates to metered dose inhaler comprising a stable pharmaceutical composition of fluticasone or its pharmaceutically acceptable ester contained in a canister fitted with a metering valve, an actuator and dose counter. The invention also relates to a process for preparing said pharmaceutical composition and its use in the treatment of respiratory disorders such as asthma in a subject (e.g., a human).

Abstract: Embodiments provide methods and systems for analyzing device behavior data in multi-factor authentication (MFA) process. The method includes receiving, by a server system, a request in association with a payment transaction between a cardholder and a merchant. The request includes a cardholder identifier and information of a successful verification of a user input entered by the cardholder to perform MFA of the payment transaction. The method includes identifying user profile data stored in a database based on the cardholder identifier. The user profile data includes information of a plurality of registered user devices associated with the cardholder. The method includes performing device behavioral analysis of one or more user devices. The method includes generating an MFA token associated with the payment transaction based on the device behavioral analysis. The method includes transmitting the MFA token for authorizing the payment transaction to a payment server associated with a payment network.

Abstract: A system for aggregating alarms for a network includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving information for configuring alarm data. The processor is configured to execute the instructions for aggregating alarm data based on the information for configuring alarm data. The processor is configured to execute the instructions for generating a visual representation of the aggregated alarm data. The processor is configured to execute the instructions for instructing a display to display the visual representation on a graphical user interface (GUI). The processor is configured to execute the instructions for receiving filter criteria through the GUI. The processor is configured to execute the instructions for updating the display on the GUI based on the filter criteria.

Abstract: The present invention provides a novel, cost-effective and simple synthetic process for preparing a nano ZSM-5 catalyst which is further utilized in fluid catalytic cracking of feedstock oil containing organic compounds. The nano-ZSM-5 catalyst shows higher selectivity towards olefines and low selectivity towards LCO and bottoms.

Abstract: The technology described herein is directed towards near-instantaneous optimization of radio resource control (RRC) rejection wait times per user equipment, which can be per user equipment of a group of multiple user equipment. In inference mode, a trained wait time prediction model (e.g., an artificial intelligence/deep reinforcement learning (AI/DRL) model in a base station) adaptively determines the per-UE rejection wait times based on current (measured) network state data, including current centralized unit and distributed unit utilization levels. The technology described herein operates to decreases the overall RRC request rate, while maintaining very high utilization of gNodeB resources, which results in increased per-UE energy efficiency and decreased signaling traffic loads.

Abstract: The present application provides method for producing methylene blue that includes the steps of providing a reaction mixture having one or more methylene blue intermediates; precipitating metal from the reaction mixture; and producing therefrom crude methylene blue. The crude may further be purified, resulting in methylene compounds having low impurities, preferably having a purity greater than about 97%, having Azure B impurity no greater than 2.5%, and/or a total metal content no greater than 77 ppm. Formulations containing such compounds are also provided.