Results 81 to 90 of about 877 (241)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
AbstractThis study is a conceptual replication of Teimouri et al.'s (2022) investigation into the validity of the second language (L2) grit scale (the L2-Grit scale). There are several concerns about the generalizability of the findings of Teimouri et al.
openaire +1 more source
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
The present study examines the complex relationships between perceived teacher support, language mindsets, L2 grit, and self-regulated learning behaviors among 522 students from five universities across China.
Shan Zhong, Zihao Wang
doaj +1 more source
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad +5 more
wiley +1 more source
Phylogenomic insights into the genus Tulipa (Liliaceae): Taxonomy, evolution, and biogeography
Abstract Premise Tulips are one of the best‐known geophytes, but their taxonomy remains convoluted and their evolutionary history poorly understood. Here, we used plastid genomes to identify some issues with current classification, understand the diversification history of the genus, and identify potential species linked to historical cultivation ...
Brett Wilson +17 more
wiley +1 more source
Foreign language (FL) learning is a lengthy and complex process that is permeated with diverse challenges, which require learners to possess grit, a clear vision of their future selves, and intended learning effort (ILE) to overcome any setbacks ...
Xuan Zhou +2 more
doaj +1 more source
This study examines how physical exercise relates to EFL learners’ communication competence by fostering L2 grit, a L2 growth mindset, and willingness to communicate (L2 WTC).
Yefeng Qiu, Linlin Liu, Ju Seong Lee
doaj +1 more source
The proliferation of online learning platforms has sparked a surge in research on the determinants of online learning continuance intention. Despite this, empirical studies focusing on the personal traits and emotional dimensions of learners in the ...
Qinqing Zhang, Shang Jing
doaj +1 more source
Domain-specific approach to grit: A scale adaptation in the context of Turkish as a foreign language
This study aims to adapt and validate the L2 Grit Scale for the Turkish as a foreign language context. Data were collected from four distinct sample groups (N = 658) of university preparatory program students using a convenience sampling method.
Enes Çinpolat, Muhammed Eren Uygur
doaj +1 more source

