Digital Preservation and Access Strategy for Hangeul Resources at the National Hangeul Museum Archives [PDF]
Younmin Kang
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EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi +7 more
wiley +1 more source
Toward a performative epistemology of the archive: archival enactment as Rum futurity. [PDF]
Banalopoulou C.
europepmc +1 more source
Архівна колекція Омеляна Пріцака в Національному університеті «Києво-Могилянська академія» – джерело дослідження історії зарубіжного українства(Archival Collection of Omelian Pritsak in National University of Kyiv-Mohyla Academy as a Source to Study History of the Foreign Ukrainians) [PDF]
Таїсія Сидорчук
openalex
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
'Brought in Dead': Post-Mortem Glimpses of the Early 'Heroin Epidemic' in Ireland, 1971-1983. [PDF]
Wall O.
europepmc +1 more source
Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna +5 more
wiley +1 more source
Diagnosis of immunobullous diseases in underrepresented groups: an all of us database study. [PDF]
Thapa M, Wojtara M, Kasperkiewicz M.
europepmc +1 more source

