Accurate retrieval of column-averaged dry-air mole fraction of methane (XCH4) in the atmosphere is important for greenhouse gas emission management.Traditional XCH4 retrieval methods are complex, while machine learning can be used to model nonlinear relationships by analyzing large datasets, providing an efficient alternative.This study proposes an
This paper is related to the study of the ion density recorded by the low altitude satellite DEMETER.In a first time there is an automatic search for ionospheric perturbations in the complete satellite data set of ion densities.Then perturbations due to known ionospheric phenomena (for example, solar activity) are eliminated as well as perturbation
Due to density-dependent selection, the ecological factors impacting population dynamics can play an important role in promoting cooperation, and accordingly, benefit a population from the eco-evolutionary Right Pier feedback.This implies that cooperation between individuals could help resist the attack of infectious diseases.Yet, little is known a
The members of Vibrionaceae family are Gram-negative bacterium are ubiquitous in marine and estuarine environments.This diverse group of bacteria include many pathogenic strains that potentially cause infection to human and aquaculture animals.Vibrio cholerae, Vibrio Lip Balms parahaemolyticus and Vibrio vulnificus are among the few recognized as a
Oceanic islands are well known for harboring diverse species assemblages and are frequently the basis of research on adaptive radiation and neoendemism.However, a commonly overlooked role of some islands is their function in preserving ancient lineages that have become extinct everywhere else (paleoendemism).The island archipelago of Bermuda is hom