Results 131 to 140 of about 438,341 (309)
Theology teacher candidates’ perspectives of geography
, 2018 Geography and religion have received a vast amount of attention in education, separately. It is well known that there are various interactions between religions and geography or geographical facts. However, it is still not known the role of geography on religion beliefs and practices. In this regard, this study aims to describe the relationship between
openaire +2 more sources
Agribusiness, EarlyView.ABSTRACT Native plants offer a variety of aesthetic (e.g., fall colour, fruit, flowers) and functional benefits (e.g., pollinator friendly, wildlife friendly, water management). How these benefits influence consumer choice and perceived value of native versus introduced plants is not well understood.
Alicia Rihn +3 more
wiley +1 more source
Annals of Gastroenterological Surgery, EarlyView.We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu +5 more
wiley +1 more source
Journal of Curriculum Studies, 2005 本研究主要目的是在面對全球化趨勢影響之下，企圖以統整課程的方式將全球化課程融入國小社會學習領域課程之中。因此，本文首先由全球化趨勢與反全球化運動的背景與發展脈絡加以探討；其次分析全球化課程的核心概念及發展，並試圖以一則國小六年級全球化課程融入社會領域的實施歷程為例，提出分析與自我反省；最後探討課程設計與實施的成效及所面臨之問題。 本研究係由一名教育大學教授和現職國小教師協同完成，以行動研究的方式探討國小全球化課程融入社會領域教學之歷程，研究者以觀察、訪談、文件蒐集、省思札記等方式，從中蒐集相關文件資料，
郭玉霞Yu-Shia Kuo +1 more
doaj
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 +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
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 +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source