Global sufferings, local voices: archival reactivations in Jewish theatre ephemera from Turkey. [PDF]
Altınay RE.
europepmc +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Correction: Prevention of spontaneous preterm birth. [PDF]
Daskalakis G +6 more
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Reexamining Korea's successful forest restoration through the revised PDCA framework. [PDF]
Park H, Han H, Kim D, Kim S.
europepmc +1 more source
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
Metagenomic libraries data sets from the hypersaline benthic microbial mats of the Fraternidad Lagoon, Puerto Rico, using an indirect DNA extraction method. [PDF]
Nieves-Morales R +5 more
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Varsói Magyar Oklevéltár [Hungarian Cartulary of Warsaw]. Edited by Ádám Novák.
Benjámin Borbás
doaj +1 more source
Breathing in the Dark: Lessons from the April 2025 Blackout for Electricity-dependent Respiratory Patients. [PDF]
Díaz Lobato S, Mayoralas Alises S.
europepmc +1 more source

