A Review of Deep Learning Approaches Based on Segment Anything Model for Medical Image Segmentation. [PDF]
Koishiyeva D +3 more
europepmc +1 more source
ABSTRACT Aim Interprofessional socialisation can contribute to collaborative patient care. Although there is research regarding interprofessional socialisation of healthcare students and frontline staff, there is limited literature regarding healthcare educators in practice settings.
Sara Dolan +4 more
wiley +1 more source
UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction. [PDF]
Xu W +5 more
europepmc +1 more source
Making a show of it: Reading demonstrations of empty government innovation through the metaphor of façade. [PDF]
Räisänen S.
europepmc +1 more source
ABSTRACT Aim To evaluate the quality of action research studies using the Quality Assessment Action Research Checklist (QuARC) and to assess its utility as a tool for quality appraisal. Design A hybrid systematic narrative review following Turnbull et al.'s six‐stage methodology and reported in accordance with PRISMA 2020 guidance.
Mary Casey +4 more
wiley +1 more source
UncerTrans: uncertainty-aware temporal transformer for early action prediction. [PDF]
Zhai X, Liu Y.
europepmc +1 more source
Revisiting the EU's Democratic Deficit: Archival Insights From Maximalist Federalists
Abstract This article explores the history of democratic problematisation of European integration, rather than taking part in the normative debate on the European Union's democratic legitimacy deficit that emerged in the 1990s. We focus on the narratives of non‐institutional actors who have considered that European integration should be a democratic ...
Jessy Bailly
wiley +1 more source
Multi-access edge computing scheduling optimization model for remote education under 6G network environment based on reinforcement learning. [PDF]
Jin L, Gao X, Wang J, Yuan S.
europepmc +1 more source
From observation to understanding: A multi‐agent framework for smart microscopy
Abstract Smart microscopy represents a paradigm shift in biological imaging, moving from passive observation tools to active collaborators in scientific inquiry. Enabled by advances in automation, computational power, and artificial intelligence, these systems are now capable of adaptive decision‐making and real‐time experimental control.
P. S. Kesavan, Pontus Nordenfelt
wiley +1 more source
Patient needs in the context of gynecologic oncology and breast cancer: a validation study. [PDF]
Theis S +4 more
europepmc +1 more source

