Abstract: A computer-assisted method for providing re-quotations for insurance coverage may include receiving a list of insurance leads corresponding to individuals who received a previous quotation for insurance coverage but did not purchase the insurance coverage and identifying a difference between the previous quotation and a new quotation. This difference may include an increase in offered insurance coverage and/or a reduction in cost. A computing device may calculate a probability for each of the individuals on the list using a regression model based, at least in part, on the identified difference. In some cases, the regression model may be associated with individual states. In other cases, the regression model may correspond to a plurality of states. The regression model may output a probability that a resident of a particular state will purchase insurance in response to a re-quotation for insurance coverage, where individuals may then be ranked based on the probability.

Abstract: Disclosed herein are systems and methods for serial flow emulsion processes. Systems and methods as described herein result in reduced cross-contamination.

Abstract: Aspects of the disclosure relate to computing platforms that utilize improved natural language processing techniques for performance evaluation and training. A computing platform may automatically determine, based on audio transcription files, a model for dynamic performance evaluation and training, which may be dynamically updated as additional audio transcription files are received. The computing platform may receive and analyze an additional audio transcription file using natural language processing and the model, which may result in proficiency scores. Based on the proficiency scores, the computing platform may calculate an overall proficiency score and identify areas for improvement associated with the first individual. Based on the areas for improvement, the computing platform may determine performance feedback tailored to the individual and may send, to a user device associated with the individual, the performance feedback.

Abstract: Disclosed herein are systems and methods for serial flow emulsion processes. Systems and methods as described herein result in reduced cross-contamination.

Abstract: A computer-assisted method for providing re-quotations for insurance coverage may include receiving a list of insurance leads corresponding to individuals who received a previous quotation for insurance coverage but did not purchase the insurance coverage and identifying a difference between the previous quotation and a new quotation. This difference may include an increase in offered insurance coverage and/or a reduction in cost. A computing device may calculate a probability for each of the individuals on the list using a regression model based, at least in part, on the identified difference. In some cases, the regression model may be associated with individual states. In other cases, the regression model may correspond to a plurality of states. The regression model may output a probability that a resident of a particular state will purchase insurance in response to a re-quotation for insurance coverage, where individuals may then be ranked based on the probability.

Abstract: An industrial integrated development environment (IDE) supports open or extensible application programming interfaces (APIs) that enable end users (e.g., plant asset owners, original equipment manufacturers (OEM), system integrators, etc.) to build upon the IDE's development platform to create custom views or to code custom functionality. This can include, for example, defining a control programming syntax supported by the industrial IDE, customizing a development environment view afforded by the IDE's interface, modifying or creating project editing functions, defining customized programming guardrails designed to guide compliance with in-house programming standards, or other such IDE customizations.

Abstract: An industrial IDE supports development of control programming using an industrial domain-specific language (DSL) that allows control programming to be written using a scripted programming language having features catered to the industrial domain. The industrial DSL can simplify and streamline development of industrial control code relative to using conventional graphics-based control programming formats such as ladder logic, since a script-based industrial DSL can be used to write programming code using fewer mouse clicks relative to traditional control programming environments. Editing tools inherent to the industrial DSL can provide dynamic programming feedback that guides the developer through the process of developing control code. The industrial IDE can also provide tools that extend the platform to users who wish to customize the industrial DSL to suit their preferred programming approaches.

Abstract: An industrial integrated development environment (IDE) supports open or extensible application programming interfaces (APIs) that enable end users (e.g., plant asset owners, original equipment manufacturers (OEM), system integrators, etc.) to build upon the IDE's development platform to create custom views or to code custom functionality. This can include, for example, defining a control programming syntax supported by the industrial IDE, customizing a development environment view afforded by the IDE's interface, modifying or creating project editing functions, defining customized programming guardrails designed to guide compliance with in-house programming standards, or other such IDE customizations.

Abstract: Provided herein are systems, methods, and reagents for quality control of digital processes in which a detectable reaction occurs, where an active reference is used in a portion or all of the subsamples used in the process and the active reference is subject to the reaction.

Abstract: Aspects of the disclosure relate to using machine learning for optimized call routing. A computing platform may receive requests to establish a voice call session. Based on corresponding phone numbers, the computing platform may identify demographic information for corresponding clients. Using a machine learning model and based on the demographic information and representative performance data, the computing platform may score potential client-representative combinations to indicate likelihoods of a successful outcome resulting from establishing a voice call session between the respective client and representative. Scoring the potential client-representative combinations may be based on fall off rates, indicating changes in representative effectiveness as hold time increases. The computing platform may adjust the scores based on a historical frequency of interaction between each representative and clients corresponding to the identified demographic information.

Abstract: Disclosed herein are systems and methods for serial flow emulsion processes. Systems and methods as described herein result in reduced cross-contamination.

Abstract: Disclosed herein are systems and methods for serial flow emulsion processes. Systems and methods as described herein result in reduced cross-contamination.

Abstract: Disclosed herein are systems and methods for serial flow emulsion processes. Systems and methods as described herein result in reduced cross-contamination.

Abstract: Methods and compositions for creating a de novo filtration structure for filtering, e.g., chemical, biological, or other samples prior to further manipulation of the samples are disclosed.

Abstract: A computer-assisted method for providing re-quotations for insurance coverage may include receiving a list of insurance leads corresponding to individuals who received a previous quotation for insurance coverage but did not purchase the insurance coverage and identifying a difference between the previous quotation and a new quotation. This difference may include an increase in offered insurance coverage and/or a reduction in cost. A computing device may calculate a probability for each of the individuals on the list using a regression model based, at least in part, on the identified difference. In some cases, the regression model may be associated with individual states. In other cases, the regression model may correspond to a plurality of states. The regression model may output a probability that a resident of a particular state will purchase insurance in response to a re-quotation for insurance coverage, where individuals may then be ranked based on the probability.

Abstract: Disclosed herein are systems and methods for serial flow emulsion processes. Systems and methods as described herein can result in reduced cross-contamination, greater accuracy and precision, less expensive materials and processes, decreased run times, and/or other advantages, e.g., through use of improved injectors, partitioners, detectors, and/or other elements useful in serial flow emulsion systems and processes.

Abstract: Provided herein are methods and compositions related to forming cross-links between surfactant molecules at an interface between dispersed phase partitions and a continuous phase in an emulsion, and uses of such cross-linked emulsions.

Abstract: Aspects of the disclosure relate to using machine learning for optimized call routing. A computing platform may receive requests to establish a voice call session. Based on corresponding phone numbers, the computing platform may identify demographic information for corresponding clients. Using a machine learning model and based on the demographic information and representative performance data, the computing platform may score potential client-representative combinations to indicate likelihoods of a successful outcome resulting from establishing a voice call session between the respective client and representative. Scoring the potential client-representative combinations may be based on fall off rates, indicating changes in representative effectiveness as hold time increases. The computing platform may adjust the scores based on a historical frequency of interaction between each representative and clients corresponding to the identified demographic information.

Abstract: An industrial IDE supports development of control programming using an industrial domain-specific language (DSL) that allows control programming to be written using a scripted programming language having features catered to the industrial domain. The industrial DSL can simplify and streamline development of industrial control code relative to using conventional graphics-based control programming formats such as ladder logic, since a script-based industrial DSL can be used to write programming code using fewer mouse clicks relative to traditional control programming environments. Editing tools inherent to the industrial DSL can provide dynamic programming feedback that guides the developer through the process of developing control code. The industrial IDE can also provide tools that extend the platform to users who wish to customize the industrial DSL to suit their preferred programming approaches.

Abstract: An industrial IDE supports development of control programming using an industrial domain-specific language (DSL) that allows control programming to be written using a scripted programming language having features catered to the industrial domain. The industrial DSL can simplify and streamline development of industrial control code relative to using conventional graphics-based control programming formats such as ladder logic, since a script-based industrial DSL can be used to write programming code using fewer mouse clicks relative to traditional control programming environments. Editing tools inherent to the industrial DSL can provide dynamic programming feedback that guides the developer through the process of developing control code. The industrial IDE can also provide tools that extend the platform to users who wish to customize the industrial DSL to suit their preferred programming approaches.