Results 51 to 60 of about 680,910 (288)

Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives

Annals of Gastroenterological Surgery, EarlyView.
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Ethical Leadership on Intercultural Dialogue for Sustainable Climate Action

Journal of Ethics in Higher Education
Climate change is a profound global social challenge that both exposes and exacerbates inequalities, disproportionately affecting populations that have contributed least to the problem.
Nora Lucia Caro Cabanillas, Jahnavi Eluru , Sojeong Kim, Ana Landeta Fernández   +3 more
doaj   +1 more source

Qui a peur de la rhétorique ? [PDF]

Studii de Lingvistica, 2019
In this article, I argue in defence of a dynamic but also technical view of rationality. I go back to a dialogue between Christian Plantin and me, and especially to the complex links between rhetoric and argumentation theory.
Emmanuelle Danblon
doaj  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

The financial sustainability of the World Health Organization and the political economy of global health governance: a review of funding proposals

Globalization and Health, 2018
The World Health Organization (WHO) continues to experience immense financial stress. The precarious financial situation of the WHO has given rise to extensive dialogue and debate.
Srikanth K. Reddy, Sumaira Mazhar, Raphael Lencucha   +2 more
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Reorganizing a Technical Services Division Using Collaborative Evidence Based Information Practice at Auraria Library

Evidence Based Library and Information Practice, 2009
Objective - The objective of this article is to demonstrate the efficacy of collaborative Evidence Based Information Practice (EBIP). Methods - Application of theoretical frameworks of shared leadership, appreciative inquiry, and knowledge creation
Denise Pan, Zaana Howard
doaj   +1 more source

Using Complexity-Identical Human- and Machine-Directed Utterances to Investigate Addressee Detection for Spoken Dialogue Systems

Sensors, 2020
Human-machine addressee detection (H-M AD) is a modern paralinguistics and dialogue challenge that arises in multiparty conversations between several people and a spoken dialogue system (SDS) since the users may also talk to each other and even to ...
Oleg Akhtiamov, Ingo Siegert, Alexey Karpov, Wolfgang Minker   +3 more
doaj   +1 more source

Pathways to Success for Michigan's Opportunity Youth [PDF]

, 2015
Each young person must navigate his/her own pathway into and through postsecondary education and the workforce to long-term success personalized to his/her own unique needs and desires.

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