Results 31 to 40 of about 12,703 (264)

EPISTEMIC MODALITY: A CORPUS-BASED ANALYSIS OF EPISTEMIC MARKERS IN EU AND POLISH JUDGMENTS

Comparative Legilinguistics, 2019
The aim of this paper is to establish the repertoire and distribution of verbal and adverbial exponents of epistemic modality in English- and Polish-language judgments passed by the Court of Justice of the EU (CJEU) and non-translated judgments passed ...
Dariusz KOŹBIAŁ
doaj   +4 more sources

Epistemic Stances: Local vs. Global, Reducible vs. Irreducible

Scientonomy
This paper addresses a gap in the scientonomic ontology by clarifying the notion of epistemic stance and articulating two orthogonal distinctions among epistemic stances: global vs. local, and reducible vs. irreducible.
Hakob Barseghyan, Alexander Offord
doaj   +1 more source

Timing Mechanotransduction: Mechanically Dynamic Biomaterials Reveal the Temporal Hierarchy of YAP/TAZ Control Nodes

Advanced Science, EarlyView.
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin, Giada Vanni, Veronica Torresan, Margherita Pelosin, Rebecca Busetto, Anna Citron, Ambela Suli, Paolo Contessotto, Carlo Albanese, Francesca Zanconato, Tito Panciera, Stefano Piccolo, Giovanna Brusatin   +12 more
wiley   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

High-School Students’ Topic-Specific Epistemic Beliefs about Climate Change: An Assessment-Related Study

Education Sciences, 2021
This study belongs to assessment-related research and aimed to investigate Finnish high-school students’ (n = 211) topic-specific epistemic beliefs about climate change and whether the Norwegian topic-specific epistemic beliefs questionnaire (TSEBQ) was ...
Eija Yli-Panula, Eero Laakkonen, Marja Vauras   +2 more
doaj   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

The role of foresight in public policy: lessons from deliberative democracy and perspectival realism

European Journal of Futures Research
Foresight plays an important role in public policy development. The foresight learning process brings together various actors in the policy community and incentivizes them to think about the future.
Brian Galvin
doaj   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

African theology of reconstruction and queer epistemic violence: A theo-ethical discourse

Verbum et Ecclesia
The legacies of colonialism in South Africa and broadly in Africa have problematised discourses on violence and discrimination. To counter coloniality and its continued efforts to dehumanise Africa, many Africans have often uncritically embraced certain ...
Ayanda Mdokwana
doaj   +1 more source