Results 101 to 110 of about 173,692 (223)
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Fushe yanjiu yu fushe gongyi xuebao随着人工智能技术迅猛发展，设备与传感器领域的研究开发速度及更新迭代速度显著提升。相应地，柔性电路的市场需求日益多样化，对缩短制备周期要求日益凸显，小批量、定制化的柔性电路需求亦进一步扩大。本研究提出了一种基于紫外（UV）固化技术的柔性电路制造新方法，即在柔性薄膜及织物基材表面通过定向UV固化技术成功构筑电路图案，并利用Ag/Fe₃O₄催化化学镀铜构建了柔性电路，旨在有效应对上述挑战。该方法在温和条件（45 °C）下完成，无需高温烧结或复杂设备。实验研究表明，基于两种基材的柔性电路均表现出优异的导电性 ...
甘 杰 +4 more
doaj +1 more source
A Systematic Scoping Review of Self‐Regulated Learning With AI in Language Education
International Journal of Applied Linguistics, EarlyView.ABSTRACT The rapid development of artificial intelligence (AI) technology has brought new opportunities for second/foreign language (L2) education while also raising concerns about the use of AI tools. This systematic scoping review provides a snapshot of the current state of research situated at the intersection of self‐regulated learning (SRL) and AI
Zheng Zhang, Sihan Zhou, Barry Bai
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He jishu基于贝叶斯神经网络预测了光中子反应的光中子反应道——(γ,n)和(γ,2n)的反应截面。优化器采用Torch.Adam，学习率设置为0.000 1。在训练过程中，结合物理信息引导有效增强了贝叶斯神经网络对数据结构的捕获能力。优化后的贝叶斯神经网络算法显著缩短了训练时间，单个模型的训练时间不超过7 min，为大量模型测试提供了保障。模型训练完成后，分析了B2、B3和B4模型（隐含层数量分别为2~4）的训练集预测结果，发现随着神经网络隐含层数的增加，模型对数据结构的捕捉能力逐渐增强 ...
孙 乾坤 +11 more
doaj +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source
He jishu钍基熔盐堆（Thorium Molten Salt Reactor，TMSR）控制棒通道套管是典型的承受外压的高温薄壁长圆柱壳，蠕变-屈曲失稳是其主要失效模式。本文旨在利用数值模拟方法研究控制棒通道套管高温下的蠕变屈曲失稳行为。首先基于UNS N10003合金的高温蠕变试验数据获得了该材料的Norton蠕变模型及材料参数；然后利用有限元分析软件ABAQUS进行了TMSR控制棒通道套管的特征值屈曲分析与蠕变屈曲分析，并对屈曲失稳的关键因素进行了敏感性分析，获得了蠕变屈曲寿命的经验公式。分析结果表明，温度 ...
王 晓艳 +4 more
doaj +1 more source
Profiling Metacognitive Knowledge and Growth Mindset in EFL Vocabulary Learning
International Journal of Applied Linguistics, EarlyView.ABSTRACT Guided by the self‐regulated learning (SRL) framework, the present study investigates the associations between metacognitive knowledge and growth mindset in EFL (English as a Foreign Language) vocabulary learning, addressing a critical gap in the literature. While metacognitive knowledge, comprising person, task, and strategy dimensions, plays
Weili (Allen) Xing, Mark Feng Teng
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International Journal of Applied Linguistics, EarlyView.ABSTRACT This study investigates how the learner‐related factors of language dominance, encompassing language history, proficiency, use, and attitude, modulate congruency effects in multi‐word unit (MWU) processing among early bilinguals. Seventy Cantonese–Putonghua bilinguals completed lexical decision tasks measuring reaction time and accuracy for ...
Mingjia Cai, Yuan Liang
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Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
International Journal of Applied Linguistics, EarlyView.ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT Generative artificial intelligence (GenAI) has emerged as a powerful tool in the Informal Digital Learning of English (IDLE) environment, offering personalized, interactive, and innovative language learning experiences that may enhance learning engagement.
Jin Liu, Meilu Liu, Yuan Yao, Dechao Li
wiley +1 more source