Results 41 to 50 of about 5,473,456 (145)
Microstructure Engineering Toward High Cost‐Effective Nd–Fe–B Sintered Magnets: A Review
Rare Metals, Volume 45, Issue 7, July 2026.ABSTRACT Nd–Fe–B sintered magnets, critical for enhancing electromechanical conversion efficiency and operational stability in wind turbines and electric vehicle drives, are prized for their outstanding coercivity, high remanence, and superior maximum energy product.
Dongmin Zhang +5 more
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Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2123-2134, July 2026.Abstract Elliptic Fourier analysis (EFA) is often employed in geometric morphometrics (GM), but the normalization of elliptic Fourier descriptor (EFD) has persistently posed challenges for obtaining unique and comparable results, especially in the application of outline‐based GM methods, which limits the implementation in automated analysis of numerous,
Hui Wu +6 more
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From Clueless to Confident: How ChatGPT Transforms Academic Writing in Chinese as a Second Language
International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1235-1251, May 2026.ABSTRACT Generative artificial intelligence (GenAI) has demonstrated its potential to enhance the quality of second‐language (L2) academic writing. This study used a qualitative approach comprising analysis of ChatGPT usage‐history screenshots, written assignments, and semi‐structured interview data on students’ use of GenAI in their L2 Chinese ...
Lanfang Sun +4 more
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Attainment Pairing Effects on Cognitive Conflict in Technology‐enhanced EFL Cooperative Tasks
International Journal of Applied Linguistics, Volume 36, Issue 2, Page 1594-1605, May 2026.ABSTRACT This study examines how attainment pairing (high‐high versus high‐low versus low‐low attainment) impacts English as a Foreign Language (EFL) learner engagement during technology‐enhanced cooperative writing tasks. Seventy‐eight Chinese university learners formed 39 dyads (13 pairs per group) via Tencent Meeting.
Ying Liu, Allen Thurston
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, 2020 生态资源是人类生存发展和自我实现的重要物质基础,对其进行深入全面的研究和理解关系到人类社会的可持续发展.随着观测技术的进步,长时间、跨尺度、海量异构多源数据的获取能力得到了显著提升,生态资源研究进入了数据驱动的新时代.传统的统计学习和机器学习算法在海量数据面前存在饱和问题.深度学习作为高维非线性复杂特征自动提取的新手段,对海量数据具有不饱和性,正成为学界和工业界数据处理的新引擎.为推动深度学习在生态资源领域的应用,文章首先介绍了深度学习的理论与生态资源研究的联系,以及常用工具和数据集.其次,通过物种识别、
金时超 +11 more
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, 2020 ⽬前课堂以机械记忆和简单理解、低阶思维训练为主，缺乏⾼阶思维训练、以教师主导下的学⽣主体学习为主，被动学习不能满⾜学⽣个性发展需求。通过对教学评⼀致下的思维发展型课堂研究，应⽤挑战性学习任务单，转向基于学⽣问题解决需求深度学习；从教师主导下的被动合作学习转向学⽣基于问题解决的深度合作学习；从教知识转向提供学习⼯具，教会学习⽅法，应⽤⽅法和⼯具提⾼⾃主学习能⼒，⾛向⾃我提升的深度学习，能有效提⾼学习效率，改变学⽣认知世界的思维⽅式。 思维发展型课堂注重学习⽬标聚焦化设计、注重通过认知冲突促进学⽣思考 ...
Li, Yuliang
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Rare Metals, Volume 45, Issue 4, April 2026.ABSTRACT Nickel‐based superalloys (Ni‐based superalloys) have attracted extensive attention in laser additive manufacturing (LAM) due to their capability to directly fabricate complex and high‐performance structural components. However, the rapid melting and solidification inherent to LAM result in intense thermal cycling, which induces high residual ...
Tianxiang Lin +9 more
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, 2019 目标跟踪是利用一个视频或图像序列的上下文信息,对目标的外观和运动信息进行建模,从而对目标运动状态进行预测并标定目标位置的一种技术,是计算机视觉的一个重要基础问题,具有重要的理论研究意义和应用价值,在智能视频监控系统、智能人机交互、智能交通和视觉导航系统等方面具有广泛应用。大数据时代的到来及深度学习方法的出现,为目标跟踪的研究提供了新的契机。本文首先阐述了目标跟踪的基本研究框架,从观测模型的角度对现有目标跟踪的历史进行回顾,指出深度学习为获得更为鲁棒的观测模型提供了可能;进而从深度判别模型 ...
李玺 +7 more
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Rare Metals, Volume 45, Issue 4, April 2026.ABSTRACT Moisture‐enabled electricity generation technology offers a new paradigm for sustainable energy harvesting, but its practical applications are still limited by issues such as low output power and insufficient long‐term stability. In this paper, an asymmetric sandwich‐structured hydrogel moist–electric generator (SSHMEG) with an ion ...
Peng Chen +7 more
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Zhongguo cuzhong zazhi目的 探讨基于平扫CT（non-contrast CT，NCCT）的深度学习模型与CTA点征对自发性脑出血早期血肿扩大（hematoma expansion，HE）的预测价值。 方法 回顾性纳入2021年9月—2022年4月于首都医科大学附属北京天坛医院就诊，发病6 h内且完成基线NCCT及CTA检查的自发性脑出血患者，所有患者均于神经功能恶化时或发病24～48 h内复查NCCT。以发病48 h内复查NCCT血肿体积-基线血肿体积≥6 mL为HE的诊断依据，将纳入患者分为HE组和非HE组 ...
单诗宇，丁少东，姬泽强，刘丹，郝允逸，王安心，李娜SHAN Shiyu, DING Shaodong, JI Zeqiang, LIU Dan, HAO Yunyi, WANG Anxin, LI Na
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