Results 91 to 100 of about 712,412 (236)
Background As adolescents transition to increased independence, they may also begin to encounter financial difficulties, including debt, which may contribute to psychological distress. While financial difficulties and experienced financial scarcity have been well‐documented contributors to suicidality in adults, their impact on adolescent populations ...
Susan J. Ravensbergen +5 more
wiley +1 more source
Exact controllability for degenerate and singular wave equations
In this article, we study exact controllability for degenerate and singular wave equations with a general coefficient. We estimate the observability inequality by the multiplier method and determine the observability time.
Guang Zhang, Shugen Chai
semanticscholar +1 more source
Climate change is causing geographic range shifts globally, and understanding the factors that influence species' range expansions is crucial for predicting future biodiversity changes. A common, yet untested, assumption in forecasting approaches is that species will shift beyond current range edges into new habitats as they become macroclimatically ...
Nathalie Isabelle Chardon +5 more
wiley +1 more source
Abstract Objective This study investigated whether scalp high‐frequency activity (HFA) rates in neonates with seizures predict postneonatal epilepsy (PNE). It also assessed whether HFA rates differentiate neonates with seizures from healthy neonates and whether they vary by seizure etiology, therapeutic hypothermia, and electroencephalographic (EEG ...
Panagiota Karatza +6 more
wiley +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source
Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder +2 more
wiley +1 more source
Recovery From Anorexia Nervosa: A Concept Analysis
ABSTRACT Aim Despite decades of research, we still know surprisingly little about how best to bring about lasting recovery from anorexia nervosa (AN). Furthermore, there is a lack of consensus in the research and treatment communities about what constitutes recovery from AN, or whether “recovery” is even an appropriate term to use in this context.
Sarah Ramsay, Kendra Allison
wiley +1 more source
ABSTRACT Machine‐learning‐based sleep staging models have achieved expert‐level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non‐conventional referencing montage and the lack of benchmarking against PSG.
Federico Salfi +6 more
wiley +1 more source
Monitoring panels of sparse functional data
Panels of random functions are common in applications of functional data analysis. They often occur when sequences of functions are observed at a number of different locations. We propose a methodology to monitor for structural breaks in such panels and to identify the changing components with statistical certainty.
Tim Kutta +2 more
wiley +1 more source
Adaptive Estimation for Weakly Dependent Functional Times Series
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro +2 more
wiley +1 more source

