Abstract: Techniques in the disclosure use non-wetting or wetting surfaces to promote or hinder separation of gas from solution in a liquid. The systems and processes promote bubble nucleation and/or promote separation of a gas or gases from a liquid using non-wetting surfaces. Also, the systems and processes suppress bubble nucleation in order to create supersaturated solutions of gas or gases in a liquid by using wetting surfaces.

Abstract: Methods and systems are disclosed which utilize liquid-philic surfaces and liquid-phobic surfaces to more safely and efficiently boil liquids and/or condense vapors. The methods and systems generally utilize two separated surfaces for nucleate boiling, where one of the surfaces is liquid-philic and the other is liquid-phobic. The methods and systems can utilize a condensing surface for condensing vapors, where the condensing surface can have liquid-philic regions and liquid-phobic regions.

Abstract: The present invention is in the field of hair treatment compositions; in particular relates to a method for hair volume reduction. Despite the prior art, there still exists the opportunity to increase the conditioning benefits delivered through hair treatment compositions. It is therefore an object of the present invention to provide a method that retains shape and reduces frizz even after exposure to humidity and washing the hair. It has been found that reduced hair frizz and hair shape retention even after exposure to moisture can be obtained by using N-formyl amino acids.

Abstract: The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

Abstract: The prediction system of strip chew collects and stores first data and second data as adaptive model construction data. The first data indicates the occurrence or non-occurrence of the strip chew in an object rolling path and the occurrence point of the strip chew. The second data includes information on a preceding rolling path and attribute information on an object strip. The system constructs an adaptive model using the stored adaptive model construction data, and stores the constructed adaptive model as an adapted model. The system collects prediction data similar to the second data. Then, the system inputs the prediction data to the adapted model to predict the occurrence or non-occurrence of the strip chew in the object rolling path and all or some of the occurrence points of the strip chew before the prediction object strip reaches the object rolling path.

Abstract: The invention provides a method of strengthening the fibres of oxidatively-treated hair, the method comprising the sequential steps of: (i) washing the oxidatively-treated hair; (ii) soaking the washed hair in an aqueous treatment composition, and (iii) drying the soaked hair; characterised in that the aqueous treatment composition comprises at least 1% N-acetyl glycine (by weight based on the total weight of the composition).15 The invention also provides the use of an aqueous treatment composition comprising at least 1% N-acetyl glycine (by weight based on the total weight of the composition), for the enhanced strengthening of oxidatively-treated hair fibres relative to virgin hair fibres.

Abstract: A computing device including a plurality of sensors, a system-on-module, a safety microcontroller and a plurality of communication interfaces communicatively coupling the system-on-module, the safety microcontroller and the plurality of sensors together. The system-on module can include an integrated interconnection of a plurality of different types of cores and one or more different types of memory. The system-on module can be configured to control operation and or performance of a system. The safety microcontroller can be configured to provide safety supervision of the system-on-module.

Abstract: Disclosed are methods and systems for supervised machine learning for automated assistants. An example method includes: receiving an automated assistant transcript comprising a plurality of records, wherein each record of the plurality of records comprises a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent; receiving, via a graphical user interface (GUI), a user input indicating an approval of a new automated assistant transcript record; comparing the new automated assistant transcript record to one or more records of the plurality of records; and responsive to detecting a conflict of the new automated assistant transcript record with one or more records of the plurality of records, displaying, via the GUI, a notification of the conflict.

Abstract: A method of transferring process data from a secure network protected by a first firewall to an unsecure network protected by a second firewall using an existing interface is provided. The existing interface is configured to transfer the process data having a first format from the secure network to the unsecure network through the first and second firewalls. The process data further includes new data having a second format. The method includes: receiving the new data from a first application in the secure network; converting the new data from the second format to a binary format; writing the binary data to the existing interface as further process data having the first format; receiving the binary data from the existing interface; converting the binary data from the binary format to the new data having the second format; and making the new data available to a second application in the unsecure network.

Abstract: An analyzer configured to monitor a radio access network (RAN) of a cellular network is provided. The RAN includes multiple clusters that each includes multiple sites and multiple cells. The analyzer receives a multiple key performance indicator (KPI) measurements from the multiple clusters. Each KPI measurements generated for one of several KPI types. The analyzer receives information identifying anomalous KPI measurements in the received KPI measurements. For a cluster of the RAN, the analyzer identifies one or more common anomalous KPI types that satisfy a ubiquity criterion. The analyzer ranks the identified common anomalous KPI types for the cluster based on an anomaly metric that is derived from the anomalous KPI measurements generated for each identified common anomalous KPI type. The analyzer outputs a list of common anomalous KPI types for the cluster based on the ranking.

Abstract: A method and system for detecting anomalies in waveforms in an industrial plant. During a learning stage, one or more training waveforms are received from sensors monitoring a plurality of equipment in the industrial plant. The one or more training waveforms are used to generate a representative waveform and deviations of the one or more training waveforms from the representative waveform are determined. Based on the deviations, groups are created. A model may be associated with each group for building an expected waveform pattern. When test waveforms are received, based on the electrical and physical properties of the test waveforms, each test waveform is classified into one of the groups. Thereafter, each waveform is compared with the expected waveform pattern associated with the group to which the respective test waveform belongs, to detect the anomaly.

Abstract: The invention relates to the use of a rhamnolipid in a surfactant system for handwash detergents to confer to the consumer a sensorial impression of mildness on the hands.

Abstract: A method of transferring process data from a secure network protected by a first firewall to an unsecure network protected by a second firewall using an existing interface is provided. The existing interface is configured to transfer the process data having a first format from the secure network to the unsecure network through the first and second firewalls. The process data further includes new data having a second format. The method includes: receiving the new data from a first application in the secure network; converting the new data from the second format to a binary format; writing the binary data to the existing interface as further process data having the first format; receiving the binary data from the existing interface; converting the binary data from the binary format to the new data having the second format; and making the new data available to a second application in the unsecure network.

Abstract: A method of repairing oxidatively-treated hair, the methods comprising the sequential steps of: (i) soaking hair in an aqueous treatment composition, (ii) rinsing the hair of step (i); characterised in that the aqueous treatment composition comprises 0.1 to 6 wt % N-acetyl amino acid, based on the total weight of the composition, wherein the N-acetyl amino acid is selected from the group consisting of N-acetyl glycine, N-acetyl alanine, N-acetyl proline, N-acetyl leucine, N-acetyl isoleucine, N-acetyl valine, N-acetyl tyrosine, N-acetyl phenylalanine, N-acetyl tryptophan, N-acetyl serine, N-acetyl glutamine, N-acetyl threonine, N-acetyl asparagine, N-acetyl methionine, N-acetyl lysine, N-acetyl histidine and mixtures thereof, gives damage repair benefits.

Abstract: An analyzer configured to monitor a radio access network (RAN) of a cellular network is provided. The RAN includes multiple clusters that each includes multiple sites and multiple cells. The analyzer receives a multiple key performance indicator (KPI) measurements from the multiple clusters. Each KPI measurements generated for one of several KPI types. The analyzer receives information identifying anomalous KPI measurements in the received KPI measurements. For a cluster of the RAN, the analyzer identifies one or more common anomalous KPI types that satisfy a ubiquity criterion. The analyzer ranks the identified common anomalous KPI types for the cluster based on an anomaly metric that is derived from the anomalous KPI measurements generated for each identified common anomalous KPI type. The analyzer outputs a list of common anomalous KPI types for the cluster based on the ranking.

Abstract: Sulfonyl hydroxamic acid compounds have the following general formula: Ring A and B are aryl, heteroaryl, cycloalkyl, fused aryl or fused alkyl group, and R1, R2, R3, R4, R5, and R6 are hydrogen, alkoxy, aryloxy, hydroxy, ester, amide, amino, alkyl, aryl, heteroaryl, halogen, hydroxy, alkoxy, aryloxy, nitro, cyano, ester, or aldehyde. The compounds are HDAC inhibitors. Processes can be used for preparation of these indole-based sulfonyl hydroxamic acid derivatives.

Abstract: A method for predicting an anomaly in a combustor (16) is presented. The method includes receiving signals representative of parameters in one or more combustion cans (22, 24) of the combustor, generating a plurality of patterns based on a permutation entropy window and the signals, identifying a plurality of pattern categories in the plurality of patterns, determining a permutation entropy based on the plurality of patterns and the plurality of pattern categories, and predicting an anomaly in the combustor based on the permutation entropy. The method further includes comparing the plurality of pattern categories to determined permutations of pattern categories if the anomaly is present in the combustor, and predicting a category of the anomaly based on the comparison of the plurality of pattern categories to the determined permutations of pattern categories.

Abstract: In accordance with embodiments of the present disclosure, an information handling system may include a processor and a non-transitory computer-readable medium having stored thereon a program of instructions executable by the processor. The program of instructions may be configured to, when read and executed by the processor, receive telemetry data associated with one or more information handling resources, receive failure statistics associated with the one or more information handling resources, and correlate the telemetry data and the failure statistics to create training data for a pattern recognition engine configured to predict a failure status of an information handling resource from operational data associated with the information handling resource.

Abstract: A spring brake actuator has a service brake with a service brake housing and a service brake working chamber located in the service brake housing. The service brake working chamber is confined by a diaphragm. A service brake piston movable along an actuator-longitudinal axis and abuts the diaphragm, which applies a brake force onto the service brake piston. A spring between the service brake piston and the service brake housing pushes the service brake piston against the direction of the brake force. A modulator valve unit communicates with the service brake working chamber and is configured to regulate the inlet and outlet of fluid into and out of the service brake working chamber. The modulator valve unit is integrated into the spring brake actuator and includes a controllable inlet valve communicating with the service brake working chamber and a controllable outlet valve communicating with the service brake working chamber.

Abstract: Remote automated assistant component(s) generate client device notification(s) based on a received IoT state change notification that indicates a change in at least one state associated with at least one IoT device. The generated client device notification(s) can each indicate the change in state associated with the at least one IoT device, and can optionally indicate the at least one IoT device. Further, the remote automated assistant component(s) can identify candidate assistant client devices that are associated with the at least one IoT device, and determine whether each of the one or more of the candidate assistant client device(s) should render a corresponding client device notification.