Effect of Maintained Early Silvicultural Treatments over Two Rotations and Climate Change on Early Growth of Radiata Pine Plantations. [PDF]
Bozo D +6 more
europepmc +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
The rise of large language models and the direction and impact of US federal research funding. [PDF]
Qian Y +5 more
europepmc +1 more source
A Bioinspired Underwater Soft Robot for Active Intravesical Liquid Delivery and Mixing
A bioinspired underwater soft robot is reported that integrates an elastic strain energy‐driven soft robotic pump with a programmable flexible magnetic valve, enabling remotely controlled, programmable, and sustained liquid release and mixing. This functionality is enabled by the synergistic integration of elastic strain energy‐driven pumping and ...
Jacob Katona +7 more
wiley +1 more source
Beyond the H-index: re-centering the operating room in the evaluation of the surgeon-scientist in hepatobiliary surgery. [PDF]
De Rose AM.
europepmc +1 more source
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Sport sustainability research at the intersection of climate action, SDGs, and sport management: a comparative bibliometric mapping of Web of Science and Scopus. [PDF]
Kayhalak F +6 more
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Mapping the Research Landscape of Osteitis Pubis and Athletic Pubalgia in Soccer. [PDF]
Marya S +3 more
europepmc +1 more source
AI-assisted forecasting in microsurgery: A dual-component framework for global publication trends. [PDF]
Bouloukakis G +6 more
europepmc +1 more source

