Results 241 to 250 of about 606,908 (310)

GrandQC adaptation as an artificial intelligence tool for quantitative artifact detection in hematoxylin and eosin whole-slide images-Simulation of quality control biopsies day. [PDF]

J Pathol Inform
Borrecho G, Nina P, Santos R, Ferreira I, Salgueiro P, Madeira C, Rato L, Oliveira RC.   +7 more
europepmc   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Digital transformation and green total factor productivity: A contingency perspective on spatial and social embeddedness. [PDF]

iScience
Chen Y, Liu S, Zhou Q.
europepmc   +1 more source

Student and staff experiences of interactive digital models when learning animal anatomy

Anatomical Sciences Education, EarlyView.
Abstract Compared to human medical sciences, digital models of animals are rare, often behind subscription services and are comparatively lacking in interactivity and accessibility features. This study explores how digital models are currently being used to teach animal anatomy, providing the data required to construct the best anatomical models ...
Alice Leavey, Sarah Channon
wiley   +1 more source

A Physics-Informed Machine Learning Framework for Modeling Biaxial Strain-Induced Band Gap Variation in Zig-Zag Single-Walled Carbon Nanotubes. [PDF]

Nanomaterials (Basel)
Vardar N.
europepmc   +1 more source

Clinical neuroanatomy teaching at Peking University Health Science Center: Evolution, current practice, and future direction

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy has been considered one of the most challenging subjects in medical education, often leading to “neurophobia” and discouraging students from pursuing neurological specialties. At PKUHSC, the curriculum has evolved from a traditional, discipline‐based model to a technology‐enhanced, integrated “Nervous System” module for ...
Xuan Fang, Man Li, Xiaodan Hu, Chang Su, Shan Ye, Xianzhong Shi, Xiaomei Yang, Changman Zhou, Weiguang Zhang, Chunhua Chen   +9 more
wiley   +1 more source

Digitizing paper ECGs at scale: an open-source algorithm for clinical research. [PDF]

NPJ Digit Med
Stenhede E, Bjørnstad AM, Ranjbar A.
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Emotional Embodiment in the Digital Age: The Digitization of Emotions. [PDF]

Behav Sci (Basel)
Auriemma V.
europepmc   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source