Results 191 to 200 of about 4,257,716 (401)
Designing natural gesture interaction for archaeological data in immersive environments
Niccolò Albertini+5 more
openalex +2 more sources
Archaeology and the Natural Environment in the Czech Republic. Recognition, documentation and protection in a time of climate change [PDF]
Martin Tomášek, Jan Mařík
openalex +1 more source
Strengthening the relationships between humans and plants can restore people's experience of nature and ultimately counteract the widespread loss of biodiversity. In this opinion article, we argue that much potential for understanding and increasing human–plant relationships lies untapped, because of a lack of cross‐fertilisation between two ...
Christoph Schunko+2 more
wiley +1 more source
Cannabis has been used by humans for millennia, resulting in diverse landraces and uses. Its complex legal status and economic importance make sampling wild‐growing populations difficult, limiting past studies to modern cultivars with low genetic diversity. Our research provides crucial insights into the genetic diversity of wild‐growing and cultivated
Manica Balant+19 more
wiley +1 more source
In memory of James E. Sublette (1928-2012)
Amy Steeby+11 more
doaj +1 more source
ABSTRACT Rationale Recent advances in high‐throughput molecular analyses of collagen peptides, especially ZooMS (Zooarchaeology by Mass Spectrometry), have permitted breakthroughs in the analysis of archaeological material that is highly fragmented, a factor that hinders morphological identification.
Pauline Raymond+8 more
wiley +1 more source
Inventories - What are they good for?
Torbjørn Ekrem
doaj +1 more source
Archaeology: The Impact of the Natural Sciences on Archaeology. London [PDF]
openaire +2 more sources
Automated identification of hedgerows and hedgerow gaps using deep learning
Hedgerows are a diverse habitat and act as wildlife corridors for traversing the agricultural landscape, however they can become fragmented due to poor management, reducing their ecological connectivity. Here we present a novel deep learning framework to quantify hedgerows and hedgerow gaps across the East Riding of Yorkshire in the UK that has high ...
J. M. Wolstenholme+5 more
wiley +1 more source