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2023年10月5日,云南农业大学动物科学技术学院霍金龙教授团队在Nature子刊《Scientific Data》(2年IF=9.8,5年IF=10.8)发表题为“Long- and short-read RNA sequencing from five reproductive organs of boar”的研究论文。
Whether the 3D incompressible Euler equations can develop a finite-time singularity from smooth initial data is an outstanding open problem. In this talk, we will first review recent progress in singu...
Sarah Kane, a fourth-year physics major in the College of Arts and Sciences, started her research in astronomy with Bhuvnesh Jain, the Walter H. and Leonore C. Annenberg Professor, and has since gone ...
Low rank matrix recovery is about reconstructing a low rank matrix from incomplete measurements. It arises frequently in many research areas of science and engineering, for example, machine learning, ...
2023年2月25日,农学院智慧农业团队在《Science of The Total Environment》期刊发表了题为“Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed ...
Accurate HIV incidence estimation based on individual recent infection status (recent vs long-term infection) is important for monitoring the epidemic, targeting interventions to those at greatest ris...
Perched next to a river near a glacier’s edge in Greenland, Penn biogeochemist Jon Hawkings and Jack Murphy, senior research coordinator in Hawkings’ lab, scooped up samples of frigid meltwater, caref...
We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
新年伊始,生命科学学院倪健课题组在青藏高原第二次综合科学考察研究取得重要进展,相关成果以题为“TiP-Leaf: A dataset of leaf traits across vegetation types on the Tibetan Plateau”的数据论文发表在国际顶级期刊Earth System Science Data 2023年第1期。ESSD《地球系统科学数据》是当前地学和生态...
Solving multi-scale PDEs is difficult in high-dimensional and/or convection-dominant cases. The interacting particle methods (IPM) are shown to outperform solving PDEs directly. Examples include compu...
Clues to a black hole’s origins can be found in the way it spins. This is especially true for binaries, in which two black holes circle close together before merging. The spin and tilt of the respecti...
Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
This paper proposes a method to accelerate calculation for generalized linear models in big data. We separate the covariates of full model into several groups to build candidate models. In the process...
With noisy and asynchronous high-frequency data collected for an ultra-large number of assets, we estimate high-dimensional spot volatility matrices satisfying a low-rank plus sparse structure. A loca...
How to select the active variables which have significant impact on the event of interest is a very important and meaningful problem in the statistical analysis of ultrahigh-dimensional data. In many ...

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