Results 221 to 230 of about 157,192 (284)

Integrating ecological feedbacks across scales and levels of organization

open access: yesEcography, Volume 2026, Issue 5, May 2026.
In ecosystems, species interact in various ways with other species, and with their local environment. In addition, ecosystems are coupled in space by diverse types of flows. From these links connecting different ecological entities can emerge circular pathways of indirect effects: feedback loops.
Benoît Pichon   +4 more
wiley   +1 more source

Learning-based control for tendon-driven continuum robotic arms. [PDF]

open access: yesFront Robot AI
Maghooli N   +3 more
europepmc   +1 more source

Network Games With Triadic Interactions

open access: yesInternational Economic Review, Volume 67, Issue 2, Page 605-632, May 2026.
ABSTRACT We propose a model for network‐mediated interactions incorporating higher‐order relationships such as triadic interactions. The marginal utility of an individual's action depends explicitly on endogenous actions of multiple units. Conditions ensuring a unique Nash equilibrium are derived using a variational inequality approach. We estimate the
Wei Shi, Chunchao Wang, Pei Yu
wiley   +1 more source

Regional cerebellar structural deficits distinguish psychostimulant‐free ADHD youth with and without familial risk for bipolar I disorder: a cross‐sectional morphometric analysis

open access: yesJournal of Child Psychology and Psychiatry, Volume 67, Issue 5, Page 766-776, May 2026.
Background Although attention‐deficit/hyperactivity disorder (ADHD) with familial risk for bipolar I disorder (BD) may represent a more severe illness conferring greater risk for developing BD, associated neurostructural substrates remain poorly understood.
Biqiu Tang   +5 more
wiley   +1 more source

Multiple Changepoint Detection for Non‐Gaussian Time Series

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 465-484, May 2026.
ABSTRACT This article combines methods from existing techniques to identify multiple changepoints in non‐Gaussian autocorrelated time series. A transformation is used to convert a Gaussian series into a non‐Gaussian series, enabling penalized likelihood methods to handle non‐Gaussian scenarios.
Robert Lund   +3 more
wiley   +1 more source

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