Results 21 to 30 of about 16,755 (149)
Zhongshan Daxue xuebao. Yixue kexue ban, 2021 运动训练是脑卒中后康复治疗的主要手段。运动训练可以促进脑卒中后神经功能的恢复，其作用目前普遍认为与神经可塑性有关，但具体机制未明。运动训练的神经可塑性机制是当前脑卒中康复研究领域的热点问题。运动训练可以调节脑卒中后脑内血流动力学变化、血管新生、神经炎症反应、营养因子分泌、神经细胞死亡及新生等。本文基于国内外研究，探讨脑卒中后最适的运动干预方案，并结合我们团队在运动训练促进脑卒中后神经功能恢复方向所做的系列研究工作，对运动训练促进脑卒中后神经可塑性的机制研究进行综述。
胡昔权
doaj +2 more sources
Zhongguo tingli yuyan kangfu kexue zazhi, 2022 目的 探讨实施个性化训练对人工耳蜗植入儿童听觉言语功能恢复的作用。方法 将2020年1月～2021年12月在本院行听觉言语康复训练的76例人工耳蜗植入儿童纳入研究，以随机数字表法分为干预组与对照组各38例，对照组实施常规听觉言语康复训练，干预组实施个性化训练，训练6个月后评估两组训练依从性、听觉能力、听觉反应能力（CAP）及言语可懂度（SIR）。结果训练6个月后干预组训练依从率（94.74%）显著高于对照组（73.68%）(P0.05）；训练6个月后，两组听觉能力评分高于训练前，干预组评分显著高于对照组（
周子濡, 李琦, 尚婉媛
doaj
Assessing safeguards against the illegal wildlife trade on AI platforms
Conservation Biology, EarlyView.Abstract AI platforms, while offering many positive applications, also present new risks to society, including the facilitation of trade in threatened and illegal wildlife. Although these platforms employ safeguards to block harmful or criminal requests, studies show such protections are imperfect and can be easily bypassed.
David L. Roberts, Jason R. C. Nurse
wiley +1 more source
Finetuning Pre‐Trained Language Models for Automatic Assessment of English‐Chinese Interpreting
International Journal of Applied Linguistics, EarlyView.ABSTRACT Recent years have seen growing interest in leveraging pre‐trained language models (PLMs) for automatic assessment of spoken‐language performance. Contributing to this emerging line of work, the present study offers the first attempt to finetune two PLMs, GTE‐multilingual and mmBERT, for assessing English‐Chinese interpreting, using over 1700 ...
Zhaokun Jiang, Chao Han
wiley +1 more source
AI foundation models in plant biology
New Phytologist, EarlyView.Foundation models decode genomes, engineer proteins, phenotype crops, and drive AI agents across plant biology. This figure was created in BioRender (BioRender.com/xcmmkel). Summary Rapid technological progress has enabled plant biologists to accumulate unprecedented volumes of multi‐scale, multi‐modal data, yet this abundance of data has intensified ...
Haopeng Yu
wiley +1 more source
Conservation Biology, Volume 40, Issue 5, October 2026.Abstract Ecological niche models (ENMs) are used to assess the abiotic preferences of species by linking their occurrences to the environmental conditions in which they live. We developed a fossil‐informed ENM framework that integrates mid‐Holocene and modern occurrences to test niche stability and reconstruct abiotic niche characteristics for four ...
Claire. M. Williams +3 more
wiley +1 more source
Rare Metals, Volume 45, Issue 7, July 2026.ABSTRACT Developing advanced electrocatalysts for urea synthesis is pivotal to alleviating environmental burdens as well as advancing sustainability in the industrial and agricultural sectors, yet untargeted catalyst screening still suffers from the notorious drawbacks of being time‐consuming, labor‐intensive, and inefficient.
Xinyuan Yang +8 more
wiley +1 more source
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
wiley +1 more source
Rare Metals, Volume 45, Issue 6, June 2026.ABSTRACT LiBH4 has drawn significant attention due to its high theoretical hydrogen storage capacity of 18.5 wt%, yet its practical application is hindered by the harsh dehydrogenation conditions. This paper proposes a strategy integrating ensemble learning with density functional theory (EL–DFT) for rapidly screening modified LiBH4 systems that ...
Zishan Luo +11 more
wiley +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 4, Page 1143-1160, April 2026.Abstract DNA barcode‐based species identification has become pivotal in biodiversity research. Current barcoding‐based deep learning methods have advantages in species identification but exhibit significant limitations. By using COI barcoding alone, previous studies were unable to fully capture species identification features. Prior methods showed that
Bin Ye +4 more
wiley +1 more source