Results 151 to 160 of about 1,043 (255)

Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof‐of‐Concept for the Personalized Advantage Index

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Although a range of evidence‐based treatments for eating disorders exist, treatment response varies substantially. The ability to match individuals to a treatment which they are most likely to benefit from may help improve treatment efficiency and therapeutic outcomes.
Zoe McClure   +3 more
wiley   +1 more source

Comparing The Most Commonly Used Classical Methods For Determining The Ridge Parameter In Ridge Regression

open access: yes, 2012
Multicollinearity is a most common problem in multiple regression models. Many different methods are developed to solve the problem of multicollinearity. Ridge regression estimation is a popular one of these methods. And the mostly investigated matter of
Genç, Aşır, Sinan, Alper
core  

Topography constrains the climatic response of treeline migration in Taiwan's subalpine forests

open access: yesEcography, EarlyView.
Treelines are moving upslope, but the rates and drivers differ among different regions, globally. Many studies have examined the relationship between treeline movement and climate change, particularly rising temperature, while the role of topographical factors has received much less attention, despite the longstanding recognition of its importance.
Kuan‐Yu Chen   +3 more
wiley   +1 more source

Faster growing and more functionally diverse: global change alters functional trait composition of mountain plant communities in the European Alps

open access: yesEcography, EarlyView.
Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh   +2 more
wiley   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu   +4 more
wiley   +1 more source

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