Results 61 to 70 of about 6,836 (219)
Previous work by Pettit et al (2017) drew on Socio-technical Transitions Theory (STT) to contextualise recent developments in the technological and operational eco-efficiency of ships which may ameliorate sustainability issues in shipping. Within STT the
Wells Peter +4 more
doaj +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng +20 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Barriers, enablers and critical collaborations in the case of Positive Energy Districts
Positive Energy Districts (PEDs) are sometimes portrayed as a key urban energy transition solution, that may aid in meeting the need for rapid decarbonization.
Adam Xavier Hearn +6 more
doaj +1 more source
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen +12 more
wiley +1 more source
Community energy initiatives (CEIs) have the potential to accelerate energy transitions, but their scalability depends heavily on the alignment of policies across various governance levels.
Aamina Teladia, Henny van der Windt
doaj +1 more source
Enhanced Ionic Conductivity at the Solid Electrolyte Interphase of Oxygen‐Doped Li6PS5Cl
Machine‐learned molecular dynamics and machine‐learning‐based phase identification reveal the kinetically formed SEI at buried Li | Li6PS5Cl interfaces. The SEI is dominated by Li2S‐based anion‐substituted phases, while oxygen doping enhances SEI ionic conductivity.
Sojeong Yang +6 more
wiley +1 more source
Normative facets of transitioning food systems
Food systems are complex systems shaped by social, economic, political and environmental influences. The multi-level perspective (MLP), adopted from transition studies and examines system change as embedded in society, has been influential in food system
Emily Soh +3 more
doaj +1 more source
The emergence and evolution of more sustainable technologies and related industrial fields is a core concern for sustainability transitions scholars.
Ville Lauttamäki, Sampsa Hyysalo
doaj +1 more source

