Browsing by Subject "linear regression analysis"
Now showing items 1-6 of 6
-
A catastrophic change in a european protected wetland: From harmful phytoplankton blooms to fish and bird kill
(2022)Understanding the processes that underlay an ecological disaster represents a major scientific challenge. Here, we investigated phytoplankton and zooplankton community changes before and during a fauna mass kill in a ... -
Effect of allergic bronchopulmonary aspergillosis on FEV 1 in children and adolescents with cystic fibrosis: A European Cystic Fibrosis Society Patient Registry analysis
(2017)Objective To evaluate the effect of allergic bronchopulmonary aspergillosis (ABPA) on FEV 1 percent predicted in children and adolescents with cystic fibrosis. Design Longitudinal data analysis (2008-2010). Setting Patients ... -
Fasting-mediated metabolic and toxicity reprogramming impacts circulating microRNA levels in humans
(2021)It is well-established that long-term fasting improves metabolic health, enhances the total antioxidant capacity and increases well-being. MicroRNAs oversee energy homeostasis and metabolic processes and are widely used ... -
Indicators to assess physiological heat strain–Part 3: Multi-country field evaluation and consensus recommendations
(2022)In a series of three companion papers published in this Journal, we identify and validate the available thermal stress indicators (TSIs). In this third paper, we conducted field experiments across nine countries to evaluate ... -
Longitudinal Trajectories and Normative Language Standards in Older Adults With Normal Cognitive Status
(2022)Objective: To determine the longitudinal trajectories and normative standards of language in older adults. Method: Participants were drawn from the cognitively normal (CN) subgroup of the Hellenic Longitudinal Investigation ... -
Nanoscale slip length prediction with machine learning tools
(2021)This work incorporates machine learning (ML) techniques, such as multivariate regression, the multi-layer perceptron, and random forest to predict the slip length at the nanoscale. Data points are collected both from our ...