Unravelling decades of habitat dynamics in protected areas: A hierarchical approach applied to the Gran Paradiso National Park (NW Italy). [PDF]
Richiardi C +3 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Historical significance of the Sanglim wood in Hamyang
openaire +1 more source
The Discovery Research Platform for Medical Humanities responds to the Wellcome Trust's report on <i>Archives, manuscripts and material culture (AMCs) in life, health, and wellbeing research</i>. [PDF]
Barratt H, Johnstone F, McGuire C.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Technology-Based Prehabilitation for Patients With Cancer Before Elective Treatment: Protocol for a Scoping Review. [PDF]
Woods G, Gaffney CJ, Ryska O, Hayes LD.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Developmental Stage-Specific Responses to Extreme Climatic Events and Environmental Variability in Great Tit Nestlings. [PDF]
Satarkar D +3 more
europepmc +1 more source
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
The Science of Aging: Understanding Phenolic and Flavor Compounds and Their Influence on Alcoholic Beverages Aged with Alternative Woods. [PDF]
Souza TFC +4 more
europepmc +1 more source

