Results 151 to 160 of about 5,352,065 (277)
ABSTRACT Objectives Mindfulness is increasingly being implemented in child and adolescent therapy. However, little is known about its effectiveness in individual settings within a clinical outpatient context. We investigated the effects of session‐introducing mindfulness interventions (IG‐M) compared to session‐introducing relaxation interventions (CG ...
Julia Kalmar +8 more
wiley +1 more source
Ensemble empirical mode decomposition for high frequency ECG noise reduction
[[abstract]]An electrocardiogram (ECG) is measured from the body surface and is often corrupted by various noises, such as high-frequency muscle contraction.
張剛鳴;Chang, Kang-Ming
core
ABSTRACT Existing research shows that family members may draw on work and personal resources to support job seekers. This research, however, explores the reverse: how the behaviors of job‐seeking family members may impact non‐job‐seekers' ability to manage work and life demands.
Michael Halinski, Jennifer A. Harrison
wiley +1 more source
ABSTRACT Chemical compliance remains the usual endpoint for closing contaminated‐soil remediation projects, although it does not establish recovery of soil function or the durability of the post‐treatment state. This critical review examines when microbiological evidence can contribute to ecological closure decisions.
Mariusz Cycoń
wiley +1 more source
Structural equation modelling (SEM) has become a cornerstone tool in ecology for testing hypotheses about causal relationships and disentangling direct and indirect effects. However, its growing use has led to frequent conceptual and methodological misapplications.
Álvaro Gaytán
wiley +1 more source
Ozel, Pinar/0000-0002-9688-6293;Emotional state analysis is an interdisciplinary arena because of the many parameters that encompass the complex neural structure and electrical signals of the brain and in terms of emotional state differences.
Ozel, Pinar, Yilmaz, Bulent, Akan, Aydin
core
Numerical weather prediction output necessitates calibration, as weather model systems are unable to replicate the correct statistics of observations. Such processing is especially important when predicting extreme weather. Calibration methods function by learning from prediction inadequacies during a training phase and by exploiting this information ...
Dmitrij Japs +3 more
wiley +1 more source
Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
wiley +1 more source
Statistical Monitoring of Multivariate Count Data From Real‐Time Particle Counters
ABSTRACT In the pharmaceutical industry, production environments are monitored for bacterial contamination. Particle counters are increasingly investigated for real‐time monitoring of viable microorganisms using count data for different particle size intervals.
Mona Emampour +2 more
wiley +1 more source
Not All Missing Data are Equal: Choosing the Right Imputation Method for Binary Datasets
ABSTRACT Missing binary predictors are common in reliability, quality control, and industrial decision systems, yet imputation methods are often chosen by convenience rather than evidence. We conduct a Monte Carlo study comparing mode substitution, sequential hot‐deck, missForest, MICE, and KNN with three neighbourhood sizes under MCAR, MAR, and MNAR ...
Manuel Delfino, Fabio Rapallo
wiley +1 more source

