Abstract: Techniques disclosed herein provide a method and systems for installing routes by a route reflect (RR) device when the tunnel RIB of the RR device does not include any tunnel labels definitions. The unicast routing information base (RIB) of route reflector (RR) device is configured to include a next hop associated with a first network device. When the RR device receives a route from the first network device that comprises a tunnel label for reaching the second network device, the RR device resolves the next hop of the received route using the unicast RIB of the RR device. In response to the resolving, the RR device forwards the route to a third network device (e.g., identified by an export route target of the RR device).

Abstract: The technology disclosed in this specification pertains to a deamidated pea protein isolates, processes for making a deamidated pea protein isolate, and use of the deamidated pea protein isolate in food and beverage compositions. The disclose deamidated pea protein isolates have dissolution properties that are significantly improved compared to non-deamidated pea protein isolates. Furthermore, the deamidated protein isolates maintain good dissolution properties throughout storage.

Abstract: A clinical insight and decision support visualization tool includes a data ingestion logic module that automatically accesses, in real-time, electronic health data of a plurality of trauma patients being treated by a care team at a healthcare institution. The tool further includes a data analysis module that automatically applies at least one predictive model to analyze the processed patient data and determine a current mortality risk score value for each patient, and a user interface module that presents real-time and historical information for each trauma patient including a current mortality risk score value, a categorization of the current mortality risk score value, top contributors to the current mortality risk score value and their respective values, and a trend plot of historic mortality risk score values.

Abstract: The personal pandemic proximity index system and method include a data ingestion pipeline configured to receive location data associated with disease-positive cases, a data processing module configured to clean and process the received data, a personal pandemic proximity module configured to determine a numerical personal pandemic proximity index value associated with an individual having an interaction at an address relative to the location data, and a graphical user interface configured to present, to a patient care team, the numerical personal pandemic proximity index value, which may include a modified workflow to limit the spread of disease.

Abstract: A community vulnerability index dashboard includes a data ingestion logic module configured to automatically receive real-time and non-real-time data from a variety of sources including education agencies, law enforcement, health services agencies, healthcare agencies, medical insurance agencies, housing and transportation agencies, childcare licensing agencies, and non-emergency citywide services. The dashboard includes a data processing module that extracts and process the ingested data, and a data analysis logic module that analyzes the processed data to determine values for indicators and an overall vulnerability index value based on the values of the plurality of indicators to provide insight into the lives of residents living in a community on a block group level. The dashboard includes a data presentation dashboard interface to display an interactive choropleth map of the overall vulnerability index and indicator values on a block group level for the community of interest.

Abstract: A machine learning system for healthcare applications comprises a data ingestion pipeline configured to automatically receive patient data including stored data from an EHR database and real-time data from a plurality of data sources, the data including, EHR records, claims data, and social determinants of health data; a data processing module configured to clean, extract, and process the received patient data; at least one predictive model configured to analyze the cleaned and processed data and determine a risk score for each patient; a configuration file defining the predictive model execution parameters; a tuning module configured to adjust parameters of the predictive model, including variables, thresholds, and coefficients; a retraining module configured to make further adjustments of the predictive model to remove inherent data biases; and a dashboard and reporting module configured to present the risk score to a patient care team.

Abstract: Described are methods of removing phospholipids and other off-flavor-causing compounds from edible proteins using a cyclodextrin treatment. The methods include treating soy protein with cyclodextrins such as ?-cyclodextrin to form cyclodextrin-compound complexes and then separating the resulting complexes from the protein. Optionally, prior to treating the protein with cyclodextrin, the protein is sonicated and then treated with a phospholipase, such as phospholipase A2. Versions of the methods described herein are capable of removing more than 99% of phospholipids from soy protein.

Abstract: A shelf stable, confectionary food product having a core and a confectionary coating. The core is formed from dehydrated crumbs, such as dehydrated cake crumbs sweetened with sugar, and a shortening-based matrix comprising shortening and water. When the dehydrated crumbs are combined with the shortening-based matrix, the crumbs rehydrate. The food product has a shelf life at room temperature of more than one month, such as more than 3 months, or more than 6 months, or up to 9 months.

Abstract: A shelf stable, confectionary food product having a core and a confectionary coating. The core is formed from dehydrated crumbs, such as dehydrated cake crumbs sweetened with sugar, and a shortening-based matrix comprising shortening and water. When the dehydrated crumbs are combined with the shortening-based matrix, the crumbs rehydrate. The food product has a shelf life at room temperature of more than one month, such as more than 3 months, or more than 6 months, or up to 9 months.

Abstract: Described are methods of removing phospholipids and other off-flavor-causing compounds from edible proteins using a cyclodextrin treatment. The methods include treating soy protein with cyclodextrins such as ?-cyclodextrin to form cyclodextrin-compound complexes and then separating the resulting complexes from the protein. Optionally, prior to treating the protein with cyclodextrin, the protein is sonicated and then treated with a phospholipase, such as phospholipase A2. Versions of the methods described herein are capable of removing more than 99% of phospholipids from soy protein.