Results 131 to 140 of about 840 (235)
EDGE: The direct link between mass growth history and the extended stellar haloes of the faintest dwarf galaxies [PDF]
Alex Goater +11 more
openalex +1 more source
This study serves as a proof‐of‐concept, demonstrating that deep shotgun sequencing of a single complex sample—stingless bee larval food—can simultaneously generate multiple genomic resources. From this dataset, we assembled three genomes (a near‐complete bacterium, a draft host mitochondrion, and a fragmented plant chloroplast) with varying ...
Carlos Ueira‐Vieira +6 more
wiley +1 more source
Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev-Zeldovich flux-mass scatter. [PDF]
Wadekar D +9 more
europepmc +1 more source
This graphical abstract illustrates the effects of myo‐inositol supplementation during suckling in reducing long‐term metabolic impacts from mild gestational calorie restriction (GCR). Using a metabolomics approach, 164 metabolites were identified, with greater metabolic alterations in males.
Rocío A. Martín‐Chamorro +6 more
wiley +1 more source
The emergence of globular clusters and globular-cluster-like dwarfs. [PDF]
Taylor ED +9 more
europepmc +1 more source
Stellar halos in Illustris: probing the histories of Milky Way-mass galaxies [PDF]
Lydia M Elias +6 more
openalex +1 more source
Oxychlorine Species on Mars: A Review
Abstract Oxychlorine species (mainly perchlorate and chlorate) have been identified at multiple locations on the surface of Mars by both orbiter and in situ rovers. They have also been found in martian meteorites. Cl‐isotopes in meteoritic minerals suggest that an oxychlorine cycle has been operating on the martian surface for the last ∼4 billion years.
Kaushik Mitra
wiley +1 more source
Strong gravitational lenses from the Vera C. Rubin Observatory. [PDF]
Shajib AJ +8 more
europepmc +1 more source
Approximation of Daily AMS‐02 Spectra With Machine Learning Methods
Abstract Almost three thousand daily AMS‐02 proton spectra from 2011 to 2019 offer the most precise and extensive data set of cosmic ray spectra covering a wide energy range. As such, they offer a unique opportunity to test machine learning algorithms for approximating cosmic ray proton spectra based on the inputs usually available to solar modulation ...
Martin Nguyen, Pavol Bobík, Ján Genči
wiley +1 more source
Spectroscopic Supermassive Dark Star candidates. [PDF]
Ilie C, Mahmud SS, Paulin J, Freese K.
europepmc +1 more source

