Results 31 to 40 of about 197 (185)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Untraslatable German word schadenfreude in English media discourse in the context of World Englishes paradigm

NaUKMA Research Papers. Linguistics, 2019
Постановка проблеми. В умовах мультилінгвокультурної ситуації створюється певний когнітив­ний простір, у якому є неминучим когнітивний контакт різних картин світу в свідомості мульти­лінгвальних мовців. Однак поза увагою дослідників залишається проблема концептуального інтегру­вання лексичних запозичень, які є результатом контактування мов та культур ...
openaire   +3 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Mr BMT Achieves Systemic Macrophage Replacement With Preservation of Tissue Homeostasis

Advanced Science, EarlyView.
Microglia replacement by bone marrow transplantation (Mr BMT) enables systemic replacement of tissue‐resident macrophages. Despite persistent macrophage and tissue remodeling across multiple organs, core biological functions and innate immune responses remain preserved, supporting long‐term maintenance of organismal homeostasis and the therapeutic ...
Yufei Xu, Miaozhan Zou, Yunshang Bai, Yang He, Zhihao Jin, Baozhi Yang, Jinjin Du, Pei Ouyang, Yuanyuan Cai, Yuheng Zhang, Bingying Du, Chengcheng Ge, Jian‐an Gong, Xiaoyu Li, Yuanyi Zheng, Jing Ding, Bo Peng, Yanxia Rao   +17 more
wiley   +1 more source

I'm from Singapore lah: AI-simulated interlocutors' responses during in-the-cloud interviews with Thai EFL learners

Ampersand
This study investigates how AI-simulated interlocutors—Gemini 2.0 Flash and ChatGPT (GPT-4o)—construct interactional responses during in-the-cloud interviews (i.e., real-time conversations between human users with AI-simulated interlocuters) with Thai ...
Naratip Jindapitak, Kornsak Tantiwich
doaj   +1 more source

Microglial Deubiquitinase OTUD7B Stabilizes STAT3 to Promote Neuroinflammation and Cognitive Decline in Alzheimer's Disease

Advanced Science, EarlyView.
. ABSTRACT Neuroinflammation driven by microglial activation is a defining feature of Alzheimer's disease (AD), yet the molecular mechanisms sustaining this proinflammatory state remain unclear. Here, we identify the deubiquitinase OTUD7B as a critical regulator of microglial activation and AD pathology.
Luyao Li, Hao Tang, Qin Yu, Yuyang Zhang, Binglu Shi, Ying Kong, Leiyu Xu, Jingjing Shao, Chenghong Hu, Lingyu She, Zhe Wang, Haiyi Chen, Aleksandr V. Samorodov, Gang Cao, Xia Zhao, Yi Wang   +15 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source