Results 31 to 40 of about 668 (232)

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Glucose Deprivation‐Driven Concurrent Induction of Apoptosis/Disulfidptosis/Ferroptosis by Tumor Targeting Nanoassemblies in Triple‐Negative Breast Cancer Therapy

Advanced Functional Materials, EarlyView.
Innovative hybrid nanoassemblies installed with ferrocene, D‐α‐tocopherol succinate, and phloretin exploit the metabolic vulnerability of triple‐negative breast cancer under glucose starvation. By blocking glucose uptake, this single nanoplatform simultaneously orchestrates apoptosis, disulfidptosis, and ferroptosis to achieve synergistic and ...
Song Yi Lee, ChaeRim Hwang, Seong Eun Kim, Mrinmoy Karmakar, Seo Jin Jung, Hyeonseok Jang, Hae‐In Kim, Heejung Yang, Junmin Lee, Dae‐Duk Kim, Hyun‐Jong Cho   +10 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

From Large Language Models to Agentic AI in Industry 5.0 and the Post-ChatGPT Era: A Socio-Technical Framework and Review on Human–Robot Collaboration

Robotics
Generative Artificial Intelligence (GenAI), particularly Foundation Models (FMs), has recently become a key component of Industry 5.0. Despite growing interest in integrating these technologies into industrial environments, comprehensive analyses of the ...
Enrique Coronado
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

Frontline Services in Complex Socio-Emotional Environments: The Case of DAWN Cafe, Japan

SAGE Open
Frontline services involving high social-emotional complexity remain a challenge for artificial intelligence, which lacks the empathetic and communicative capabilities these contexts demand.
João Carlos Gonçalves dos Reis
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Kenyan Farmers' Policy Priorities During Economic Crisis and Stability: Insights From a Best‐Worst Scaling Experiment

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia, John Olwande, Jacob Ricker‐Gilbert, David L. Mather, Nicole M. Mason   +4 more
wiley   +1 more source

Enhancing joint attention in students on the autism spectrum using robotics: A game-based educational intervention [Mejorando la atención conjunto de alumnado en el espectro del autismo a través de la robótica: Una intervención educativa basada en el juego]

Pixel-Bit
A school that promotes inclusivity should uphold the rights and address the educational needs of all students, including those on the autism spectrum. This study focuses on 11 students' outcomes after implementing a social robotics program named IkasBot.
Itsaso Arocena Perez, Asier Huegun Burgos, Itziar Rekalde Rodriguez   +2 more
doaj   +1 more source