Results 141 to 150 of about 2,130 (214)

Area‐restricted search under realistic constraints

open access: yesOikos, EarlyView.
Abstract Area‐restricted search (ARS) is one of the most influential and widely used concepts in foraging theory, capturing a simple rule by which animals intensify local search following a resource encounter. Because ARS performs well in many spatially structured environments, it serves as a basic model for interpreting movement patterns across taxa ...
Inon Scharf, Arik Dorfman
wiley   +1 more source

Any Topological Recursion on a Rational Spectral Curve is KP Integrable. [PDF]

open access: yesCommun Math Phys
Alexandrov A   +4 more
europepmc   +1 more source

Sampling for the Measurement of Structured Surfaces

open access: yes
Structured surfaces are increasingly popular in manufacturing due to their ability to affect the function of a component, for example paintability and adhesiveness.
Wang, Jian
core  

Waves of range dynamics and gene flow characterize the biogeographic history of Litsea elongata, a dominant tree in East Asian evergreen broadleaved forests

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Evergreen broadleaved forests (EBLFs) represent an iconic vegetation type in subtropical montane East Asia, but they are experiencing intensifying anthropogenic pressure and increasing habitat fragmentation. Here, using a dominant and widespread tree species characteristic of East Asian EBLFs, we examine its phylogeographic history and evaluate what it
Sheng‐Yuan Qin   +7 more
wiley   +1 more source

Generalizing the Gaussian Network Model: Spanning‐Tree Thermodynamics Shows Entropy‐Driven KRAS Activation

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT The GTPase KRAS executes a conformational switch between a GTP‐bound active state and a GDP‐bound inactive state, a process central to oncogenic signaling. However, the structural basis of this switching at the level of residue‐contact organization remains incompletely characterized by traditional binary structural models.
Fatma Senguler Ciftci, Burak Erman
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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