Results 161 to 170 of about 22,474 (284)
The Art of Congenital Cardiology: A Sampling of Representative Pieces from the Artwork of Dr Jamil Aboulhosn. [PDF]
US CardiolAboulhosn J.
europepmc +1 more source
Building‐Scale Flood Hazard Modelling for Risk Assessment of Cultural Heritage
Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.ABSTRACT Flooding is among the most frequent natural hazards threatening cultural heritage sites, yet current flood hazard studies often operate at urban or regional scales. While building‐scale damage models exist, they generally rely on flood depth inputs from large‐scale inundation models, inputs that may fail to capture the internal complexity of ...
Chiara Arrighi +2 more
wiley +1 more source
A Study of the Votive Terracotta Figurines from the Athana Lindia Sanctuary
Les Carnets de l’ACoSt, 2014 Sanne Hoffmann
doaj +1 more source
Art in Science: Molding Deformities, Then and Now. [PDF]
Clin Orthop Relat ResGreen SA.
europepmc +1 more source
Rapid and Blind Watermarking Approach of the 3D Objects Using QR Code Images for Securing Copyright. [PDF]
Comput Intell Neurosci, 2021 Al-Saadi HS, Elhadad A, Ghareeb A.
europepmc +1 more source
Roman Britain in 2003: II. Finds reported under the Portable Antiquities Scheme [PDF]
, 2004 Worrell, S
core
Narrating Entanglement Without Dehumanisation in Contemporary Eco‐Fiction
Future Humanities, Volume 4, Issue 1, May 2026.ABSTRACT This essay presents a comparative analysis of two contemporary works of eco‐fiction, Richard Powers's The Overstory (2018) and Eleanor Catton's Birnam Wood (2023). Both novels use multiperspective narration in the service of entanglement narratives, forms of storytelling that emphasise the interconnection of human and nonhuman life.
Diana Rose Newby
wiley +1 more source
A simple alternative to nondeceptive placebos for reducing emotional distress: encouragement. [PDF]
Soc Cogn Affect NeurosciSchienle A, Kogler W, Wabnegger A.
europepmc +1 more source
Health Science Reports, Volume 9, Issue 5, May 2026.ABSTRACT Background and Aims Prostate cancer affects many people around the world and is fatal. Today, artificial intelligence‐based techniques are widely used to predict and diagnose diseases. This study aimed to use machine learning‐based techniques to predict and identify the most significant risk factors of prostate cancer.
Serveh Mohammadi +3 more
wiley +1 more source