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| 1 | OSL chronology and paleoclimatic implications of paleodunes in the middle and southwestern Qaidam Basin, Qinghai-Tibetan Plateau显示文摘Aeolian sediments are widely distributed in the Qaidam Basin, northeastern Qinghai-Tibetan Plateau (QTP). The paleodunes are mainly located at the southeastern, middle and southwestern Qaidam Basin. However, ages of paleodunes in the middle and southwestern Qaidam Basin have not been well studied, although they are close to and might connect to the evolution of salt lakes in the central basin. In this study, we use single aliquot regeneration (SAR) protocol of Optically Stimulated Luminescence (OSL) to date the dune sand in these two regions. The results show that: (1) Sand accumulation in these regions started at ca. 4-3 ka and lasted to ca. 0.5 ka when they were stabilized, due to the arid climate in the late Holocene. (2) The underlying fluvial sand was formed during deglaciation at 12.6±0.8 ka. (3) The stabilization periods of the paleodunes correspond to stages of glacier advance in the northeastern QTP, during which lower temperatures caused the decrease of evaporation and increase of the effective moisture, leading to an increase of vegetation cover and stabilization of the dunes. | LuPeng Yu ZhongPing Lai Ping An | 2013 | Research in Cold and Arid Regions2013，5，2： | 7 |
| 2 | Lake level variations of Qinghai Lake in northeastern Qinghai-Tibetan Plateau since 3.7 ka based on OSL dating显示文摘 | XiangJun Liu ZhongPing Lai David Madsen LuPeng Yu Kai Liu JingRan Zhang | 2010 | Quaternary International2010，，1： | 1 |
| 3 | The earliest well-dated archeological site in the hyper-arid Tarim Basin and its implications for prehistoric human migration and climatic change显示文摘 | Han Wenxia Yu Lupeng Lai Zhongping | 2014 | Quaternary Research2014，82，1： | 1 |
| 4 | Holocene climate change inferred from stratigraphy and OSL chronology of aeolian sediments in the Qaidam Basin, northeastern Qinghai-Tibetan Plateau显示文摘 | Yu Lupeng Lai Zhongping | 2014 | Quaternary Research2014，81，3： | 1 |
| 5 | Wind erosion on the north‐eastern Tibetan Plateau: constraints from OSL and U‐Th dating of playa salt crust in the Qaidam Basin显示文摘 | Wenxia Han Zhibang Ma Zhongping Lai Erwin Appel Xiaomin Fang Lupeng Yu | 2014 | Earth Surf Process Landforms2014，，6： | 1 |
| 6 | Magmatism-Related Thermal Simulation of Volcanic Arcs in the Molucca Sea Bidirectional Subduction System显示文摘The bidirectional subduction system,island arc magmatic activities,and thermal structure of the forearc basin in the Molucca Sea are taken into consideration in this study.The active volcanic arcs on both sides of the bidirectional subduction zone in the Molucca Sea are undergoing arc-arc collisions.We applied a finite element thermal simulation method to reconstruct the thermal evolution history of the Molucca Sea Plate based on geophysical data.Then,we analyzed the thermodynamic characteristics of island arc volcanism on both sides of the bidirectional subduction zone.The results showed that at 10Myr,the oceanic ridge of the Molucca Sea Plate was asymmetrically biased to the west,causing this bidirectional subduction to be deeper in the west than in the east.Furthermore,the oceanic ridge subducted under the Sangihe arc at 5.5Myr,causing intermittent cessation of volcanic activities.Due to the convergence of bidirectional subduction,the geothermal gradient in the top 3km depth of the forearc area between the Sangihe and Halmahera arcs decreased from about 60℃km^(−1) at 4Myr to about 38℃km^(−1) today.Finally,within the 45–100 km depth range of the sliding surface of the subduction,anomalously high-temperature zones formed due to shear friction during the bidirectional subduction. | YU Lei ZHANG Jian DONG Miao FANG Gui Yu Lupeng | 2023 | Journal of Ocean University of China2023，22，4： | 0 |
| 7 | Protein Structure Prediction:Challenges,Advances,and the Shift of Research Paradigms显示文摘Protein structure prediction is an interdisciplinary research topic that has attracted researchers from multiple fields,including biochemistry,medicine,physics,mathematics,and computer science.These researchers adopt various research paradigms to attack the same structure prediction problem:biochemists and physicists attempt to reveal the principles governing protein folding;mathematicians,especially statisticians,usually start from assuming a probability distribution of protein structures given a target sequence and then find the most likely structure,while computer scientists formulate protein structure prediction as an optimization problem-finding the structural conformation with the lowest energy or minimizing the difference between predicted structure and native structure.These research paradigms fall into the two statistical modeling cultures proposed by Leo Breiman,namely,data modeling and algorithmic modeling.Recently,we have also witnessed the great success of deep learning in protein structure prediction.In this review,we present a survey of the efforts for protein structure prediction.We compare the research paradigms adopted by researchers from different fields,with an emphasis on the shift of research paradigms in the era of deep learning.In short,the algorithmic modeling techniques,especially deep neural networks,have considerably improved the accuracy of protein structure prediction;however,theories interpreting the neural networks and knowledge on protein folding are still highly desired. | Bin Huang Lupeng Kong Chao Wang Fusong Ju Qi Zhang Jianwei Zhu Tiansu Gong Haicang Zhang Chungong Yu Wei-Mou Zheng Dongbo Bu | 2023 | Genomics, Proteomics & Bioinformatics2023，21，5： | 0 |
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