The functional drinks market is on fire. Currently valued at a $149bn (€127bn), it’s growing at a CAGR of 8.9%, and is expected to hit nearly $250bn ($248.51bn) by 2030 (industry analysts Grand View ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Functional strength training involves exercises that mimic everyday activities, such as climbing stairs. It aims to improve people’s movement in their daily lives or their performance in certain ...
In this tutorial, we demonstrate a fully functional and modular data analysis pipeline using the Lilac library, without relying on signal processing. It combines Lilac’s dataset management ...
Background and Objectives: Functional cure of chronic hepatitis B (CHB) is the optimal goal of antiviral therapy. This study evaluates the functional cure rates in a large cohort treated with ...
President Donald Trump’s 2024 victory rested on support from voters who are less engaged with politics, an assessment of the election based on newly available voter file data confirms, as Democratic ...
Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...
During the Positive Nutrition Broadcast series, representatives from Zevia, Suja Organic, DSM-Firmenich and Euromonitor International shared their thoughts on the changing functional beverage category ...
Abstract: Functional data have been gaining increasing popularity in the field of time series analysis. However, so far modeling heterogeneous multivariate functional time series remains a research ...
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