In: Tree Physiology, 2016, vol. 36, no. 5, p. 562-575
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In: Asiatische Studien - Études Asiatiques, 2017, vol. 71, no. 1, p. 281-303
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In: Tree Physiology, 2018, vol. 38, no. 9, p. 1345-1355
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In: Environmental Science and Pollution Research, 2015, vol. 22, no. 16, p. 12490-12500
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In: Journal of Atmospheric Chemistry, 2015, vol. 72, no. 1, p. 19-26
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In: Stochastic Environmental Research and Risk Assessment, 2015, vol. 29, no. 7, p. 1809-1822
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In: Science Advances, 2020, vol. 6, no. 41, p. eabb8227
The origins and development of the arid and highly seasonal steppe-desert biome in Central Asia, the largest of its kind in the world, remain largely unconstrained by existing records. It is unclear how Cenozoic climatic, geological, and biological forces, acting at diverse spatial and temporal scales, shaped Central Asian ecosystems through time. Our synthesis shows that the Central Asian...
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In: Physical Review B, 2020, vol. 101, no. 21, p. 214512
We studied the infrared response of polycrystalline samples of the iron arsenide superconductor (Rb,Cs)Ca2Fe4As4F2 (Rb,Cs-12442), which has a bilayer structure similar to the high-Tc cuprates YBa2Cu3O7 (YBCO) and Bi2Sr2CaCu2O8. The c-axis reflectivity spectra Rc have been derived from the reflectivity spectra of the polycrystalline samples Rpoly and the in-plane spectrum of a corresponding...
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In: Physics Reports, 2020, vol. 846, p. 1–66
Biological entities are involved in intricate and complex interactions, in which uncovering the biological information from the network concepts are of great significance. Benefiting from the advances of network science and high-throughput biomedical technologies, studying the biological systems from network biology has attracted much attention in recent years, and networks have long been...
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In: Complexity, 2019, vol. 2019, p. 1–17
Understanding and predicting extreme turning points in the financial market, such as financial bubbles and crashes, has attracted much attention in recent years. Experimental observations of the superexponential increase of prices before crashes indicate the predictability of financial extremes. In this study, we aim to forecast extreme events in the stock market using 19-year time-series...
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