Results 71 to 80 of about 443,939 (257)

The political economy of ethnolinguistic cleavages [PDF]

open access: yes
This paper proposes a new method to measure ethnolinguistic diversity and offers new results linking such diversity with a range of political economy outcomes — civil conflict, redistribution, economic growth and the provision of public goods.
Ignacio Ortuño-Ortín   +2 more
core  

Razing Babel: Two Sonnets for Too Xenophobic Times [PDF]

open access: yes, 2016
Brief reflections in prose and verse on the vital importance of linguistic ...
Lloyd, Harold Anthony
core  

Linguistic diversity in business contexts: a functional linguistic perspective [PDF]

open access: yes, 2011
This paper investigates the diversity issue in business contexts in Switzerland from a linguistic perspective and reports the results of field activities in two multinational enterprises.
Hohenstein, Christiane, Studer, Patrick
core   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Iran [PDF]

open access: yes, 1998
As the locale for one of the oldest continuing cultural, linguistic, and ethnic entities, Iran provides archaeological evidence for dance portrayed on Mesopotamean pottery dated to 5000 BCE (Zoka\u27, 1978). Evidence for continuing choreographic activity
Shay, Anthony
core   +1 more source

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

open access: yesAdvanced 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   +8 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu   +3 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

The multimedia documentation of endangered and minority languages : a thesis presented in partial fulfilment of the requirements for the degree of Master of Philosophy in Linguistics at Massey University [PDF]

open access: yes, 2002
This thesis examines the impending loss of linguistic diversity in the world and advocates a change in emphasis in linguistic research towards the documentation of minority and endangered languages.
Petterson, Robert
core  

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella   +5 more
wiley   +1 more source

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