Results 131 to 140 of about 571 (202)

Combining isotope ratios for provenancing Viking Age iron artefacts in the British Isles: a pilot study. [PDF]

RSC Adv, 2023
Harding SE, Jones C, Evans J, Milot J, Cutajar M, Bailey E, Pashley V, Wagner D, Halkon P, Pearce M.   +9 more
europepmc   +1 more source

Winter Track Survey of the Amur Tiger (Panthera tigris altaica) in the Southwest Primorsky Province of Russia 俄罗斯滨海边疆区西南部东北虎 (Panthera tigris altaica) 冬季足迹调查

Wildlife Letters, EarlyView.
In the winter of 2021/2022, a winter track survey revealed 43–46 tigers (without cubs) in 5.4 thousand km2 of suitable habitats in the Southwest Primorsky Province of Russia. In the same period, a network of camera traps registered 54 adult/subadult tigers here.
Yury Darman, Dina Matiukhina
wiley   +1 more source

Introduction, spread and selective breeding of crops: new archaeobotanical data from southern Italy in the early Middle Ages. [PDF]

Veg Hist Archaeobot
Fiorentino G, Grasso AM, Primavera M.
europepmc   +1 more source

Decreasing water availability reduces productivity in Swiss forests along an altitudinal gradient

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests are one of the most important terrestrial carbon sinks, but are increasingly under pressure due to drought, heat and the occurrence of extreme events. There are opposing longer term trends for European forest growth reported, and severe drought and disturbance ...
Sophia Etzold, Arun K. Bose, Arthur Gessler, Frank Krumm, Katrin Meusburger, Marcus Schaub, Anne Thimonier, Peter Waldner, Roman Zweifel   +8 more
wiley   +1 more source

Unbalanced social-ecological acceleration led to state formation failure in early medieval Poland. [PDF]

Proc Natl Acad Sci U S A
Izdebski A, Czerwiński S, Jankowiak M, Danielewski M, Fiołna S, Gromig R, Guzowski P, Haghipour N, Hajdas I, Kołaczek P, Lamentowicz M, Marcisz K, Niebieszczański J, Sankiewicz P, Wagner B.   +14 more
europepmc   +1 more source

Soil drying induces widespread productivity loss but unequal climate vulnerability among ecotypes of a foundational Arctic sedge

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract As temperatures increase in the Arctic, hydrological change may lead to local soil drying through altered snowpack, evapotranspiration and drainage due to permafrost thaw.
Jonathan Gewirtzman, Ned Fetcher
wiley   +1 more source

125 years of exploration and research at Gough's Cave (Somerset, UK) 125 ans d'exploration et de recherches à Gough's Cave (Somerset, Royaume‐Uni)

Journal of the Royal Anthropological Institute, EarlyView.
Our understanding of the recolonization of northwest Europe in the period leading up to the Lateglacial Interstadial relies heavily on discoveries from Gough's Cave (Somerset, UK). Gough's Cave is the richest Late Upper Palaeolithic site in the British Isles, yielding an exceptional array of human remains, stone and organic artefacts, and butchered ...
Silvia M. Bello, Mark D. Lewis, Simon A. Parfitt   +2 more
wiley   +1 more source

Uncovering the Role of Autochthonous Deteriogenic Biofilm Community: Rožanec Mithraeum Monument (Slovenia). [PDF]

Microb Ecol
Ljaljević Grbić M, Dimkić I, Janakiev T, Kosel J, Tavzes Č, Popović S, Knežević A, Legan L, Retko K, Ropret P, Unković N.   +10 more
europepmc   +1 more source

Introduction: Towards a linguistic anthropology of AI Introduction : vers une anthropologie linguistique de l'IA

Journal of the Royal Anthropological Institute, EarlyView.
This essay introduces the themed cluster of articles, ‘Towards a linguistic anthropology of AI’. The advent of artificial intelligence (AI), especially in large language models capable of producing coherent discourse mimicking conversational interaction, is exerting unprecedented pressure on prevailing concepts of language, personhood, and the human ...
Webb Keane, Constantine V. Nakassis
wiley   +1 more source

A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification. [PDF]

Nat Genet
Maas SLN, Tang Y, Stutheit-Zhao E, Rahmanzade R, Blume C, Hielscher T, Zettl F, Benfatto S, Calafato D, Sill M, Benotmane JK, Yabo YA, Behling F, Suwala A, Kardo H, Ritter M, Peyre M, Sankowski R, Okonechnikov K, Sievers P, Patel A, Reuss D, Friedrich MJ, Stichel D, Schrimpf D, Van den Bosch TPP, Beck K, Wirsching HG, Jungwirth G, Hanemann CO, Lamszus K, Etminan N, Unterberg A, Mawrin C, Remke M, Ayrault O, Lichter P, Reifenberger G, Platten M, Kacprowski T, List M, Pauling JK, Baumbach J, Milde T, Grossmann R, Ram Z, Ratliff M, Mallm JP, Neidert MC, Bos EM, Prinz M, Weller M, Acker T, Hartmann FJ, Preusser M, Tabatabai G, Herold-Mende C, Krieg SM, Jones DTW, Pfister SM, Wick W, Kalamarides M, von Deimling A, Heiland DH, Hovestadt V, Gerstung M, Schlesner M, German “Aggressive Meningiomas” Consortium (KAM), Sahm F.   +68 more
europepmc   +1 more source