To modernize the consumer price index — the most widely used measure of inflation in the U.S. — the Bureau of Labor Statistics should accelerate its use of new sources of data and develop price indexes based on different income levels, says a new report.

Features allow enterprises to gain insight from corporate data with graphical categorizations and support for Sharepoint and NAS Environments

By infusing cameras with advanced AI technology, Video AI Agents enable cameras to identify, reason, and trigger responses to real-life incidents without requiring human intervention

The paper reviews a number of commercial and public data sources to examine their potential for increasing coverage and understanding of the volume and characteristics of private climate finance beyond renewable energy projects. Such information is needed to assess progress towards the global transition to low-carbon, climate-resilient economies.

Processing metadata includes storing, in a data storage system, a specification for each of multiple sources, each specification including information identifying one or more data elements of the corresponding source; and processing, in a data processing system coupled to the data storage system, data elements from the sources, including generating a set of rules for each source based on a corresponding one of the stored specifications, and matching data elements of different sources and determining a quality metric characterizing a given match between a first data element of a first source and a second data element of a second source according to the set of rules generated for the first source and the set of rules generated for the second source.

In Part 4 of this tutorial series, you'll learn how to link external and public data to your existing data to gain insights for your sales team. In this scenario for retail sales, you'll learn how to forecast the hot sales areas for new wins.

This study aims to model genetic, immunologic, metabolomics, and proteomic biomarkers for development of islet autoimmunity (IA) and progression to type 1 diabetes in a prospective high-risk cohort. We studied 67 children: 42 who developed IA (20 of 42 progressed to diabetes) and 25 control subjects matched for sex and age. Biomarkers were assessed at four time points: earliest available sample, just prior to IA, just after IA, and just prior to diabetes onset. Predictors of IA and progression to diabetes were identified across disparate sources using an integrative machine learning algorithm and optimization-based feature selection. Our integrative approach was predictive of IA (area under the receiver operating characteristic curve [AUC] 0.91) and progression to diabetes (AUC 0.92) based on standard cross-validation (CV). Among the strongest predictors of IA were change in serum ascorbate, 3-methyl-oxobutyrate, and the PTPN22 (rs2476601) polymorphism. Serum glucose, ADP fibrinogen, and mannose were among the strongest predictors of progression to diabetes. This proof-of-principle analysis is the first study to integrate large, diverse biomarker data sets into a limited number of features, highlighting differences in pathways leading to IA from those predicting progression to diabetes. Integrated models, if validated in independent populations, could provide novel clues concerning the pathways leading to IA and type 1 diabetes.

Administrative health insurance claims have limitations when measuring care quality.

Children’s care quality measures assessed using administrative claims alone may not accurately reflect care quality. Use of electronic health record data in combination with administrative claims data provides an opportunity for more complete measurement. (Read the full article)

Nunn, Jeremy, author