Results 201 to 210 of about 3,264 (278)

Colours of urban selection: carotenoid‐based signals reveal divergent urban/rural evolutionary trajectories in two closely related passerines

open access: yesOikos, Volume 2026, Issue 2, February 2026.
Urbanisation is a major driver of environmental change, reshaping ecological and evolutionary processes. Urban‐driven phenotypic differences are increasingly documented, but the underlying role of selection is still understudied. One pattern is the consistent reduction of carotenoid‐based plumage pigmentation in city birds.
Nicolas Bekka   +3 more
wiley   +1 more source

ChebIoD: a Chebyshev polynomial-based lightweight authentication scheme for internet of drones environments. [PDF]

open access: yesSci Rep
Al-Mekhlafi ZG   +9 more
europepmc   +1 more source

Analyzing the Free States of one Quantum Resource Theory as Resource States of Another

open access: yesAdvanced Quantum Technologies, Volume 9, Issue 2, February 2026.
The article investigates how free states in one quantum resource theory can become highly resourceful in another. It systematically studies multipartite entanglement, fermionic non‐Gaussianity, imaginarity, realness, spin coherence, Clifford non‐stabilizerness, Sn‐equivariance, and non‐uniform entanglement, combining rigorous analytical tools and ...
Andrew E. Deneris   +5 more
wiley   +1 more source

Classical discrete multiple orthogonal polynomials: hypergeometric and integral representations [PDF]

open access: green
Amílcar Branquinho   +4 more
openalex   +1 more source

Clustering of Longitudinal Data: A Tutorial on a Variety of Approaches

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT During the past two decades, methods for identifying groups with different trends in longitudinal data involving a single numeric outcome have become of increasing interest across many areas of research. To support researchers, we summarize the guidance from literature regarding the clustering of such data.
N. G. P. Den Teuling   +2 more
wiley   +1 more source

Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 1, February 2026.
ABSTRACT This paper develops a multivariate t$$ t $$‐mixture model‐based semi‐supervised clustering methodology for datasets with incomplete records. Specifically, we consider the case where not all features are always observed, as well as the case where label information for some of the records is available, where the interest is in grouping all of ...
Joshua D. Berlinski, Ranjan Maitra
wiley   +1 more source

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