Results 61 to 70 of about 2,867 (224)

Neural correlates of resilience to trauma during adolescence: A multi‐modal study

JCPP Advances, EarlyView.
Abstract Background Understanding resilience mechanisms is important for advancing early intervention strategies, yet research on the neurobiology of resilience in adolescents is limited. The present study examined the brain structural and resting‐state functional connectivity (rsFC) correlates of resilience to internalizing and externalizing symptoms ...
Lu Zhang, Vanessa L. Cropley, Divyangana Rakesh, Sarah Whittle   +3 more
wiley   +1 more source

Startups Driving Artificial Intelligence Into Clinical Dermatology

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transitioning from innovation to routine clinical application in dermatology. This review examines how AI‐enabled technologies are being developed and integrated across diverse clinical purposes and workflows.
Dominique Du Crest, Benjamin Miguel Monteagudo, Stanislas Vandier, Mullarkey Dan, Svedenhag Per, Jon Friis, Monisha Madhumita, Lilit Garibyan, Tu‐Anh Duong, Merete Haedersdal, Vinzent Kevin Ortner   +10 more
wiley   +1 more source

Optimal Designs and Inspection Time Decisions for Gamma Accelerated Degradation Tests

Naval Research Logistics (NRL), EarlyView.
ABSTRACT This study analytically derives optimal designs for gamma accelerated degradation tests while incorporating inspection time as a design variable under both D‐ and V‐optimality criteria. Under D‐optimality, we prove that the optimal design allocates test units exclusively to the lowest and highest stress levels and adopts the longest inspection
Hung‐Ping Tung, I‐Chen Lee
wiley   +1 more source

A Research Classification for Long COVID: Symptom Frequency and Severity Improve Accuracy of Machine Learning Models

Chronic Diseases and Translational Medicine, EarlyView.
Leonard A. Jason, Lauren Ruesink, Jacob Furst, Ben Z. Katz   +3 more
wiley   +1 more source

RNA degradomics and proteomics reveal the mechanism of dsProsβ1‐mediated proteasome targeting in Psylliodes chrysocephala

Pest Management Science, EarlyView.
RNA degradomics revealed dsProsβ1‐derived siRNA‐mediated mRNA cleavage events, mainly at uracil‐guanine and adenine‐adenine pairs. Proteasome inhibition via dsProsβ1 increased mitochondrial and cytoskeletal proteins while reducing translation‐related and mRNA‐binding proteins.
Doga Cedden, Gözde Güney, Michael Rostás, Stefan Scholten   +3 more
wiley   +1 more source

Spatial observation‐error correlations for AMSU‐A in all‐sky assimilation: An ECMWF and UK Met Office intercomparison

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt, Massimo Bonavita, Niels Bormann, Sarah L. Dance, Alison Fowler, Elías Hólm, Christopher J. Merchant, Jonathan Mittaz, Stuart Newman, Joanne Waller   +9 more
wiley   +1 more source

Restoring Lateral Connectivity to Anthropogenic Riverscapes: Six Lessons From Stage Zero

River Research and Applications, EarlyView.
ABSTRACT Centuries of river modification, particularly straightening and incision, have severely reduced lateral connectivity between rivers and their floodplains. As a result, Stage 0 riverscapes, characterised by high lateral connectivity (e.g., anastomosing or wetland riverscapes), are now rare in anthropogenic landscapes.
Richard J. Mason, Matthew F. Johnson, Ben Eardley, Matthew J. Hemsworth, Arnaud Foret, Luca Mao, Matt Parr, Alan Puttock, Richard E. Brazier   +8 more
wiley   +1 more source

On Learning Whittle Index Policy for Restless Bandits With Scalable Regret

IEEE Transactions on Control of Network Systems
Reinforcement learning is an attractive approach to learn good resource allocation and scheduling policies based on data when the system model is unknown. However, the cumulative regret of most RL algorithms scales as $\tilde O(\mathsf{S} \sqrt{\mathsf{A} T})$, where $\mathsf{S}$ is the size of the state space, $\mathsf{A}$ is the size of the action ...
Nima Akbarzadeh, Aditya Mahajan
openaire   +2 more sources

A unifying computations of Whittle's Index for Markovian bandits

, 2019
The multi-armed restless bandit framework allows to model a wide variety of decision-making problems in areas as diverse as industrial engineering, computer communication, operations research, financial engineering, communication networks etc. In a seminal work, Whittle developed a methodology to derive well-performing (Whittle's) index policies that ...
Ayesta, Urtzi, Gupta, Manu K., Verloop, Ina Maria   +2 more
openaire   +2 more sources

Forensic Hydraulic Analysis of Floodplain Connectivity Driven by Historical Beaver Dams in Colorado Headwater Streams

River Research and Applications, EarlyView.
ABSTRACT As ecosystem engineers, beavers (Castor canadensis) modify river corridor form through dam building. When beavers are removed from a river corridor, their unmaintained dams wash out, altering the stream's hydrologic regime. The assumption that beaver dams increase floodplain connectivity is frequently presumed but has not been directly ...
Kayla Schultz, Ryan R. Morrison, Sara Rathburn, Connor Mertz, Nicholas Christensen   +4 more
wiley   +1 more source