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Titlebook: Non-Han Literature Along the Silk Road; Xiao Li Book 2020 SDX Joint Publishing Company 2020 Ancient Silk Road.Ancient Languages.Type and M

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樓主: 平凡人
31#
發(fā)表于 2025-3-26 22:11:37 | 只看該作者
2524-390X nt Silk Road, the history of Western Regions, and the politiThis volume includes outstanding scientific articles on documents written in ancient languages such as Tocharian, Sogdian, Khotanese, and Old Uyghur. Its chief aims are to contribute to the present state of research by adding essential find
32#
發(fā)表于 2025-3-27 04:02:35 | 只看該作者
Book 2020Its chief aims are to contribute to the present state of research by adding essential findings on newly discovered historical documents; to present a multi-dimensional investigation of diverse aspects including the history, religion, art, literature, and social life along the Silk Road; and to outli
33#
發(fā)表于 2025-3-27 05:39:22 | 只看該作者
ndition. This is particularly useful for disentangling the heterogeneity and complexity of neurological conditions. Hence, systems biology can help in uncovering pathophysiology to develop novel therapeutic targets and assessing the impact of known treatments on disease progression. Additionally, sy
34#
發(fā)表于 2025-3-27 09:44:54 | 只看該作者
Qing Duanf adverse outcomes. We reviewed the recent advanced methods, particularly the machine learning and deep learning-based approaches used for harnessing and harmonizing the multiomics and phenotypic data to address these applications. We finally discussed the challenges and future directions.
35#
發(fā)表于 2025-3-27 17:07:15 | 只看該作者
Qing Duanade over the last 20 years. With recent technological advances, the computational resources now available, and interdisciplinary cooperation, further breakthroughs are inevitable..In TB, modeling has traditionally been empirical in nature, with clinical data providing the fuel for this top-down appr
36#
發(fā)表于 2025-3-27 19:13:38 | 只看該作者
37#
發(fā)表于 2025-3-28 01:49:01 | 只看該作者
38#
發(fā)表于 2025-3-28 02:14:52 | 只看該作者
Jingjing Fannd discuss how gene networks can be constructed from omics data and how these networks can be decomposed into smaller modules. We discuss how the resulting modules can be used to generate experimentally testable hypotheses, provide insight into disease mechanisms, and lead to predictive models. Thro
39#
發(fā)表于 2025-3-28 09:00:57 | 只看該作者
40#
發(fā)表于 2025-3-28 10:56:49 | 只看該作者
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