Abstract: The present invention allows for the capture and sentiment analysis of text the customer inputs into a chat, but never actually sends to the customer service representative (ghost text). The system captures this ghost text with a ghost capture system (GCS) software module. The GCS module analyzes the ghost text to generate metadata. The ghost text and metadata are used by a sentiment analysis engine to apply appropriate sentiment to the ghost text. The sentiment and ghost text are routed to a customer service representative (CSR). This provides the customer service agent with additional detail and information about a customer's emotions during a text chat conversation, allowing the CSR to determine a court of interaction not only based on the customer's response, but also based on the ghost text and the sentiment from the ghost text.

Abstract: A device for displaying AR markings comprising a top and a base, with the top rotatably attached to the base, and the base configured to be held by a hand or placed on a fixed surface. The AR markings are positioned on the top such that when the top rotates with respect to the base, so do the AR markings. When the AR markings are scanned by an appropriate scanning and display device, such as a smart phone, a 3d image associated with the AR markings will be displayed on the display device as an augmented reality projection. When the top rotates with respect to the base, so too does the augmented reality projection.

Abstract: Individually packaged topical formulations comprising about 0.25 to about 6% w/w of glycopyrrolate for the treatment of hyperhidrosis, wherein said wipe is contained within a pouch resistant to leakage. The formulations may further comprise ethanol, a buffering agent and water. In addition, the formulations may further comprise a polymer system comprising a hydrophobic polymer in combination with a hydrophilic polymer.

Abstract: Embodiments are provided for providing workflow pipeline optimization in a computing environment. Execution of a workflow containing dependencies between one or more subject nodes and one or more observer nodes may be dynamically optimized by determining a wait time between successive executions of the workflow for the one or more observer nodes.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: A method of heating or cooking liquid-exuding product includes placing the liquid-exuding product onto a package (10). The package includes a porous material (20), an absorbent material (21) and a tray (12). The porous material is attached to or contacts at least a portion of the tray. The absorbent material (21) is located between the porous material and the tray. The method includes heating or cooking the combined liquid-exuding product and package. At least some liquid exuded from the liquid-exuding product during heating or cooking travels through the porous material (20) and contacts at least some of the absorbent material (21).

Abstract: The present invention allows for the capture and sentiment analysis of text the customer inputs into a chat, but never actually sends to the customer service representative (ghost text). The system captures this ghost text with a ghost capture system (GCS) software module. The GCS module analyzes the ghost text to generate metadata. The ghost text and metadata are used by a sentiment analysis engine to apply appropriate sentiment to the ghost text. The sentiment and ghost text are routed to a customer service representative (CSR). This provides the customer service agent with additional detail and information about a customer's emotions during a text chat conversation, allowing the CSR to determine a court of interaction not only based on the customer's response, but also based on the ghost text and the sentiment from the ghost text.

Abstract: A system, method, apparatus and electronic control unit are provided for centralized data collection at a single controller device (110) in a distributed service-oriented system (100) by applying one or more classifiers (102-104, 114) to a message traffic packet (1) received at the Ethernet switch (101) of the single controller device to selectively identify service update information from service-oriented traffic messages in the message traffic packet without generating additional message traffic packets on the network system bus, and by mirroring each message traffic packet (3) containing service update information to a processing element (111) in the single controller to identify and extract specified data from the identified service update information for storage in a centralized database which is updated as services publish new information on the network system bus.

Abstract: A separator for separating solid matter and gas from a fluid flow includes a vessel having an inlet, a fluid outlet, and a gas outlet. The fluid outlet is spaced below the inlet. The separator further includes an enclosure disposed between the inlet and the fluid outlet that redirects the fluid stream passing from the inlet to the fluid outlet. The enclosure defines an inner cavity above a lower edge of the enclosure, and the lower edge defines a fluid flow area. The fluid outlet is disposed within the inner cavity at a height that is above the lower edge of the enclosure and the gas outlet is disposed with a gas space defined by the enclosure.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: Aspects of the present disclosure relate to systems and methods that aid users with hearing and/or speech impediments to have a conversation with a remote phone number without human assistance. In one aspect, an application residing on a user's device, such as a smartphone, tablet computer, laptop, etc., may be used to initiate a phone call to a recipient. Upon initiating the phone call locally, a service residing on the server may receive a request to initiate a connection to the recipient. Once the recipient answers, the user may converse with the recipient by providing text input to their local app. The text input may be transmitted to the service. The service may use a text to speech converter to translate the received text to speech that can be delivered to the recipient.

Abstract: In an aspect, provided is an adjustable telescoping assembly. The adjustable telescoping assembly comprises a first support member and a second support member that is slidable upon the first support member and which defines an interior volume. At least one damping element is provided that extends from outside the second support member, through the second support member into the interior volume and engages the first support member.

Abstract: Methods are provided for storing and preserving zucchini spirals, preferably so as to extend shelf life of the same. In one optional method, zucchini spirals are placed in a product containing space of a storage container atop a platform of a support structure. The storage container includes an internal compartment having the product containing space. The support structure defines the platform for supporting the zucchini spirals. The internal compartment further includes a reservoir, configured to retain liquid, below the platform. The platform and/or support structure are configured to direct liquid exuded from the zucchini spirals to the reservoir. Optionally, the reservoir comprises an absorbent material for absorbing liquid in the reservoir.

Abstract: Apparatuses and methods are provided for storing and preserving product, such as to extend shelf life of the same. In one optional method, liquid-exuding product is placed in a product containing space of a container atop a platform of a support structure. The container can include an internal compartment having the product containing space. The structure can define the platform for supporting the product. The internal compartment can further include a reservoir, configured to retain liquid, below the platform. At least one of the platform or the support structure can be configured to direct liquid exuded from the product to the reservoir. Optionally, the reservoir comprises or contains an absorbent material for absorbing liquid in the reservoir.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system corelates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.

Abstract: Aspects of the present disclosure relate to systems and methods that aid users with hearing and/or speech impediments to have a conversation with a remote phone number without human assistance. In one aspect, an application residing on a user's device, such as a smartphone, tablet computer, laptop, etc., may be used to initiate a phone call to a recipient. Upon initiating the phone call locally, a service residing on the server may receive a request to initiate a connection to the recipient. Once the recipient answers, the user may converse with the recipient by providing text input to their local app. The text input may be transmitted to the service. The service may use a text to speech converter to translate the received text to speech that can be delivered to the recipient.

Abstract: Disclosed are antimicrobial releasing agents, methods of preparing the antimicrobial releasing agents, and entrained polymers containing antimicrobial releasing agents. The antimicrobial releasing agent is prepared with an acidified hydrophilic material with a pH below 3.5 as a carrier, an active compound, and a trigger. The entrained polymer of the invention releases an antimicrobial agent in gas form, such as ClO2, optionally over a range of concentration from 150 ppm to 1800 ppm per gram of the entrained polymer under certain tested conditions.

Abstract: A headband with one or more protective inserts. The inserts may be strategically positioned to provide protection for specific areas of a person's head that are most vulnerable to impact, depending on the sport or other activity. The inserts may be directly attached to the headband, or may be enclosed in pouches which are directly attached to the headband. The headband may be worn with or without additional headgear, and may be configured to cooperate with the additional headgear as to form, fit, and functionality.

Abstract: The present invention is a system and method of continuous sentiment tracking and the determination of optimized agent actions through the training of sentiment models and applying the sentiment models to new incoming interactions. The system receives conversations comprising incoming interactions and agent actions and determines customer sentiment on a micro-interaction level for each incoming interaction. Based on interaction types, the system correlates the determined sentiment with the agent action received prior to the sentiment determination to create and train sentiment models. Sentiment models include agent action recommendations for a desired sentiment outcome. Once trained, the sentiment models can be applied to new incoming interactions to provide CSRs with actions that will yield a desired sentiment outcome.