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搜索结果: 1-15 共查到Structural相关记录953条 . 查询时间(0.093 秒)
2024年10月22日,方显杨研究员在《Current Opinion in Structural Biology》期刊在线发表了题为"Empowering the molecular ruler techniques with unnatural base pair system to explore conformational dynamics of flaviviral RNAs"的综述论...
Developing an accurate model for estimating the forest structural parameters of planted forests is crucial for forest productivity predictions and can provide a better understanding of the carbon cycl...
The phytohormone ethylene is widely involved in many developmental processes and is a crucial regulator of defense responses against biotic and abiotic stresses in plants. Ethylene-responsive element ...
Salicylic acid (SA) is an essential hormone for plant immune responses. In Arabidopsis, SA is perceived by two groups of receptors, NPR1 and NPR3/4, which play opposite roles in regulating defence gen...
Background and Aims Improved modelling of carbon assimilation and plant growth to low soil moisture requires evaluation of underlying mechanisms in the soil, roots, and shoots. The feedback between pl...
The mechanical properties of plantation Eucalyptus Nitens timber are currently assessed by applying visual stress grading (VSG) designed for the sawn timber from the mature plantation and do not repre...
ost-translational modifications (PTMs), including phosphorylation and persulfidation, regulate the activity of SNF1-RELATED PROTEIN KINASE2.6 (SnRK2.6). Here, we report how persulfidations and phospho...
In a natural regeneration process, a community dominated by birch and aspen forms in the site 35 years after a bilberry-type spruce stand is logged down. The newly formed ecotone complex consists of f...
AI领域发展迅速,今天看似先进的大模型,几年后可能会被视为落后的小模型。然而,无论技术如何演化,基于第一性原则的结论却能长久有效。在这个报告中,我们将研究如何利用神经网络进行一阶法加速和求解混合整数优化问题,并通过数学推导得到神经网络所必须具备的结构,从而起到简化训练并提升稳定性的作用。
DNA损伤应答与修复经历“进入-修复-恢复” (Access-Repair-Restore,ARR)三个生物学过程。核小体稳态对于DNA损伤应答及信号解除、基因转录瞬时激活与抑制至关重要。单就组蛋白赖氨酸乙酰化来说,乙酰化介导染色质松弛以便DNA修复推进或促进基因转录;去乙酰化则造成致密染色质结构以保护遗传物质不受损失或抑制基因转录,因此染色质松散被认为是DNA双链断裂修复(DSBs)的先决条件。...
MIT researchers are using artificial intelligence to design new proteins that go beyond those found in nature.
A popular self-normalization (SN) approach in time series analysis uses the variance of a partial sum as a self-normalizer. This is known to be sensitive to irregularities such as persistent autocorre...
This report consists of two parts associated with graph neural networks: generalization and graph structural learning. We first study the Rademacher complexity of GNNs, as one of independent-algorithm...
Modern fabrication tools such as 3D printers can make structural materials in shapes that would have been difficult or impossible using conventional tools.

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