Results 31 to 40 of about 24,812 (309)
This study presents a description of a rhyolite lava-forming eruption, including the conduit system, degassing history during the lava flow dynamics. We examined the Pleistocene Shiroyama rhyolite lava on Himeshima Island, Japan.
Kuniyuki Furukawa+4 more
doaj +1 more source
Aeolian sediment transport on Io from lava-frost interactions [PDF]
Surface modification on Jupiter's volcanically active moon, Io, has to date been attributed almost exclusively to lava emplacement and volcanic plume deposits. Here we demonstrate that wind-blown transport of sediment may also be altering the Ionian surface.
arxiv +1 more source
The article related to the journal cover is dealing with the Iceland geology and lava tube Leiðarendi.
openaire +3 more sources
Lava has complex geochemical characteristics based on differences in eruption centers, eruptive events, and flow emplacement. Characterization of lava is useful for understanding the geological conditions of a volcanic region.
Aditya Pratama+3 more
doaj +1 more source
Because many volcanoes are densely vegetated, understanding of the interactions between active lava flows and trees is essential for robust hazard modeling.
Jonas Biren+10 more
doaj +1 more source
Genetic inference of orchid population dynamics on different‐aged lava flows in Costa Rica
Volcán Arenal lava flows represent natural, non‐anthropogenic habitat disturbance that permit precise knowledge of when these sites became available for colonization. By examining the levels and spatial distribution of genetic variation of five Epidendrum radicans populations growing on lava flows deposited in 1968 and 1992, we were able to infer ...
Dorset W. Trapnell, James L. Hamrick
wiley +1 more source
Roughness can be used to characterize the morphologies of a lava flow. It can be used to identify lava flow features, provide insight into eruption conditions, and link roughness pattern across a lava flow to emplacement conditions. In this study, we use
Muhammad Aufaristama+4 more
doaj +1 more source
LAVA: Label-efficient Visual Learning and Adaptation [PDF]
We present LAVA, a simple yet effective method for multi-domain visual transfer learning with limited data. LAVA builds on a few recent innovations to enable adapting to partially labelled datasets with class and domain shifts. First, LAVA learns self-supervised visual representations on the source dataset and ground them using class label semantics to
arxiv
Abstract Objectives To investigate survival rates, technical and biologic outcomes of buccally micro‐veneered all‐ceramic single implant crowns. Material and Methods Sixty subjects randomly received immediately or early placed implants. Crowns out of lithium‐disilicate (n = 30) and zirconia‐ceramic (n = 30) were bonded to titanium‐base‐abutments ...
Malin Strasding+5 more
wiley +1 more source