Abstract: A carded calendered nonwoven comprising synthetic staple fibers. The synthetic staple fibers comprise a polypropylene polymer matrix, an ethylene-propylene copolymer and a fatty acid amide. The nonwovens of the present disclosure may be used in application where a soft and affordable nonwoven is desired, for example disposable absorbent articles, such as pants or diapers.

Abstract: An absorbent article such as a diaper comprising as component a carded calendered nonwoven comprising synthetic staple fibers, wherein the synthetic staple fibers comprise a polypropylene polymer matrix, an ethylene-propylene copolymer and a fatty acid amide, and optionally natural fibers. The nonwovens may be used in application where a soft and affordable nonwoven is desired, for example in the topsheet or backsheet outer cover nonwoven.

Abstract: In accordance with some embodiments, a method is performed at a device with one or more processors, non-transitory memory, a display, and an input device. The method includes displaying, on the display, a playback status indicator regarding playback of a media item. The method includes displaying, on the display, an image associated with the media item. The method includes detecting an input interacting with the image. In response to a first portion of the input, the method includes adjusting the appearance of the image on the display in accordance with the first portion of the input. In response to a second portion of the input, the method includes changing playback of media items on the device in accordance with the input in accordance with the second portion of the input.

Abstract: A method, apparatus, system, and computer program code for intelligent data discovery with dynamic ontology are provided. According to one illustrative embodiment, the method using a number of processors to perform the steps of: identifying a set of data items in unstructured content using a dynamic data schema populated from a dynamic ontology; and responsive to identifying a data item that is not recognized in the data schema: storing the data item with labels; generating a weight for the data item; and responsive to the weight exceeding a threshold, updating the schema to include the data item that was not recognized.

Abstract: A method, apparatus, system, and computer program code for dynamically modeling multi-tenant data in a machine learning platform. A recommendation engine receives a first data set from a user. The recommendation engine characterizes the first data set to determine data attributes and data characteristics of the first data set. The recommendation engine aligns the data attributes of the first data set with a second data set according to an ontology. Based on the data characteristics of the first data set, the recommendation engine identifies a set of pre-trained models that was trained from training parameters selected from data attributes and data characteristics of a second data set. The recommendation engine recommends the set of pre-trained models to the user.

Abstract: Analytics dashboards for critical event management systems that include artificial-intelligence (AI) functionalities, and related software. AI functionalities disclosed include pattern recognition and predictive modelling. One or more pattern-recognition algorithms can be used, for example, to identified patterns or other groupings within stored critical events, which can then be used to improve response performance and/or to inform the generation of predictive models. One or more predictive-modeling algorithms can be used to generate one or more predictive models that can then be used, for example, to make predictions about newly arriving critical events that can then be used, among other things, to provide optimal response performance and allow users to efficiently and effectively manage responses critical events. These and other features are described in detail.

Abstract: Analytics dashboards for critical event management systems that include artificial-intelligence (AI) functionalities, and related software. AI functionalities disclosed include pattern recognition and predictive modelling. One or more pattern-recognition algorithms can be used, for example, to identified patterns or other groupings within stored critical events, which can then be used to improve response performance and/or to inform the generation of predictive models. One or more predictive-modeling algorithms can be used to generate one or more predictive models that can then be used, for example, to make predictions about newly arriving critical events that can then be used, among other things, to provide optimal response performance and allow users to efficiently and effectively manage responses critical events. These and other features are described in detail.

Abstract: A method, apparatus, system, and computer program code for intelligent data discovery with dynamic ontology are provided. According to one illustrative embodiment, the method using a number of processors to perform the steps of: identifying a set of data items in unstructured content using a dynamic data schema populated from a dynamic ontology; and responsive to identifying a data item that is not recognized in the data schema: storing the data item with labels; generating a weight for the data item; and responsive to the weight exceeding a threshold, updating the schema to include the data item that was not recognized.

Abstract: Computer-implemented techniques for answer time prediction in a contact center service of a provider network. While a delayed processing timing has not been met, a set of contact queuing context-actual answer time data for a set of contact inquiries serviced is received as a first set of contact queuing context-actual answer time data. When the delayed processing timing has been met, a new queuing model is learned based on the first set of contact queuing context-actual answer time data and a previous set of contact queuing context-actual answer time data for a previous set of contact inquiries serviced or a previous version of the queuing model. A request to predict an answer time for a target contact queuing context is received and an answer time for the target contact queuing context is predicted based on the new queuing model. The predicted answer time is provided to a contact via a contact communications channel.

Abstract: Aspects of the disclosure provided herein generally relate to a fluid flow network configured to cool subsystems of a substrate processing system. Aspects of the disclosure provide a fluid flow network and method that adjusts the flow of the cooling fluid through each subsystem of the substrate processing system. The methods described herein can include maintaining a flow rate of the cooling fluid through each subsystem over a range of cooling fluid pressures. The methods described herein can further include configuring the fluid flow network to equalize a flow rate of the cooling fluid through similar subsystems such that the flow rate through each subsystem is similar without adjustment.

Abstract: The present disclosure relates to a lid assembly apparatus and related methods for substrate processing chambers. In one implementation, a lid assembly includes a gas manifold. The gas manifold includes a first gas channel configured to receive a process gas, a second gas channel configured to receive a doping gas, and a third gas channel configured to receive a cleaning gas. The lid assembly also includes a showerhead. The showerhead includes one or more first gas openings that are configured to receive the process gas, and one or more second gas openings that are configured to receive the doping gas.

Abstract: A representative fiber incorporates: a low melting polyolefin material forming a matrix; and a polymer or copolymer suspended in the matrix as particles of the polymer or copolymer, the particles of the polymer or copolymer exhibiting increased hardness and stiffness compared to the low melting polyolefin material; wherein the polymer or copolymer is immiscible with the low melting polyolefin.

Abstract: In accordance with some embodiments, a method is performed at a device with one or more processors, non-transitory memory, a display, and an input device. The method includes displaying, on the display, a playback status indicator regarding playback of a media item. The method includes displaying, on the display, an image associated with the media item. The method includes detecting an input interacting with the image. In response to a first portion of the input, the method includes adjusting the appearance of the image on the display in accordance with the first portion of the input. In response to a second portion of the input, the method includes changing playback of media items on the device in accordance with the input in accordance with the second portion of the input.

Abstract: A system including voice, video, and chat capability at financial services kiosks (e.g., ATMs) is disclosed. The voice, video, and chat and capabilities may be implemented using Web Real-Time Communication (WebRTC). A customer can complete all transactions and interactions with a live person in real time at the financial services kiosk. The financial services kiosk can be located anywhere in the world and only requires an Internet connection to support the system. The live person is remotely located from the financial services kiosk and can be available 24/7. The live person may be a teller or specialist located in a contact center.

Abstract: Exemplary semiconductor processing systems include a chamber body having sidewalls and a base. The systems may include a substrate support extending through the base. The substrate support may include a support plate defining lift pin locations and a shaft coupled with the support plate. The systems may include a shield coupled with the shaft and extending below the support plate. The shield may define a central aperture that extends beyond an outer periphery of the shaft. The systems may include a purge baffle coupled with the shield at a position that is beyond the central aperture such that a space between the purge baffle and the shaft is in fluid communication with a space between the shield and the support plate. The purge baffle may extend along at least a portion of the shaft. The systems may include a purge gas source coupled with the purge baffle.

Abstract: Analytics dashboards for critical event management systems that include artificial-intelligence (AI) functionalities, and related software. AI functionalities disclosed include pattern recognition and predictive modelling. One or more pattern-recognition algorithms can be used, for example, to identified patterns or other groupings within stored critical events, which can then be used to improve response performance and/or to inform the generation of predictive models. One or more predictive-modeling algorithms can be used to generate one or more predictive models that can then be used, for example, to make predictions about newly arriving critical events that can then be used, among other things, to provide optimal response performance and allow users to efficiently and effectively manage responses critical events. These and other features are described in detail.

Abstract: In accordance with some embodiments, a method is performed at a device with one or more processors, non-transitory memory, a display, and an input device. The method includes displaying, on the display, a playback status indicator regarding playback of a media item. The method includes displaying, on the display, an image associated with the media item. The method includes detecting an input interacting with the image. In response to a first portion of the input, the method includes adjusting the appearance of the image on the display in accordance with the first portion of the input. In response to a second portion of the input, the method includes changing playback of media items on the device in accordance with the input in accordance with the second portion of the input.

Abstract: The present disclosure relates to a lid assembly apparatus and related methods for substrate processing chambers. In one implementation, a lid assembly includes a gas manifold. The gas manifold includes a first gas channel configured to receive a process gas, a second gas channel configured to receive a doping gas, and a third gas channel configured to receive a cleaning gas. The lid assembly also includes a showerhead. The showerhead includes one or more first gas openings that are configured to receive the process gas, and one or more second gas openings that are configured to receive the doping gas.

Abstract: The invention relates to a customer interaction management system that comprises a memory that stores customer profile data and customer interaction data; a voice response input that receives a voice pattern from a customer; and a computer processor, coupled to the memory and the voice response input, programmed to: retrieve customer voice data from a current customer interaction via a voice channel; retrieve data from one or more other interactions via one or more other channels; compare customer voice data to a customer baseline, where the customer baseline is developed from one or more prior customer interactions; generate, using a speech analytics engine, a customer score that indicates customer sentiment based on the customer voice data and data from one or more other interactions; during the current customer interaction, update the customer score based on customer progress data; and develop one or more actions, in response to the customer score.

Abstract: According to an embodiment of the present invention, a system and method for transmitting context data during an automated customer interaction comprises: a computer store containing data, for each customer, defining a customer's historical interactions with an entity and account information, a computer processor, coupled to the computer store and programmed to: receive, via an electronic input, a contact from a customer via an electronic communication channel; automatically capture current interaction data between the customer and an automated interactive entity; receive an electronic request for a live agent from the customer; retrieve, from the computer store, historical interaction data from a prior customer contact and account information; generate context description that comprises information from the current interaction data, historical interaction data and account information; embed the context description into a signal as a header; and transmit the signal with the context description to the live age