Results 151 to 160 of about 112,632 (333)

Bayesian phylogenetic inference using DNA sequences: a Markov Chain Monte Carlo Method.

open access: yesMolecular biology and evolution, 1997
Ziheng Yang, B. Rannala
semanticscholar   +1 more source

Temporal Dynamics of Tourism Sustainability: Economic and Environmental Evidence From Greece

open access: yesSustainable Development, EarlyView.
ABSTRACT Tourism is a resource‐intensive sector that generates substantial economic benefits while exerting long‐term pressure on energy systems and the environment. This study examines the sustainability of tourism in Greece by analyzing how tourism growth affects economic performance, energy consumption, and carbon emissions across different time ...
Stylianou Tasos
wiley   +1 more source

Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference

open access: yesBioinform., 2002
Gautam Altekar   +3 more
semanticscholar   +1 more source

An improved phylogeny and revised taxonomy of Catillariaceae (Lecanoromycetes, Ascomycota)

open access: yesTAXON, EarlyView.
Abstract The boundaries of the family Catillariaceae have largely remained untested through phylogenetic methods. Recent studies have led to the transfer of several genera previously classified in Catillariaceae to the newly described family Leprocaulaceae. Despite these changes, the distinction between Catillariaceae, Leprocaulaceae, and Catinariaceae
Måns Svensson   +2 more
wiley   +1 more source

Locating and Quantifying Methane Emissions by Inverse Analysis of Path-Integrated Concentration Data Using a Markov-Chain Monte Carlo Approach. [PDF]

open access: yesACS Earth Space Chem, 2022
Weidmann D   +8 more
europepmc   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

open access: yesTAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy