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  • 1
    Publication Date: 2024-04-20
    Description: The Qinghai Tibet region, known as the Roof of the World and the Water Tower of Asia, has the largest number of lakes in the world, and because of its high altitude and the near absence of disturbance by human activity, the Tibetan plateau has long been a significant place to study global climate change. Hydrological stations cannot be easily set up in this area, and the in-situ gauge data are not always publicly accessible. Satellite radar altimetry has become a very important alternative to in-situ observations as a data source. Estimation of lake water levels with a given radar altimeter is often limited by temporal and spatial coverage, and therefore multi-altimeter data are used to monitor lake levels. Restricted by the accuracy of waveform processing and the intervals period between different altimetry missions, the accuracy and the sampling frequency of the water level series are low. By processing and merging 8 different altimetry missions, the developed data set gives the water level changes for 364 lakes (larger than 10 km2) in Tibetan Plateau from 2002 to 2021. The period of lake level change series with high accuracy can be much longer in many lakes. This data set and associated approaches are valuable for calculating the lake storage changes, trend analyses of lake level, short-term monitoring of lake overflow, flooding disasters on the Tibetan Plateau, and the relationships between the lake ecosystem change and water resources change.
    Keywords: Binary Object; File content; Lake Water Level Change; Satellite altimetry; Tibetan Plateau
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 2
    Publication Date: 2016-02-19
    Description: Author(s): Zhihong Luo, Xiaolin Chen, Jiaming Li, and Chuangang Ning Due to the low cross section of p -wave threshold photodetachment and the complicated electronic structures, the uncertainty of electron affinities for many transition elements still remains around 10 meV, which has not been improved for three decades. In this study, the electron affinity of Nb is me… [Phys. Rev. A 93, 020501(R)] Published Wed Feb 17, 2016
    Keywords: Atomic and molecular structure and dynamics
    Print ISSN: 1050-2947
    Electronic ISSN: 1094-1622
    Topics: Physics
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  • 3
    Publication Date: 2014-03-01
    Description: Pancreatic cancer (PC) is an aggressive malignancy with extremely low 5-year survival rate (〈5%). SWItch/Sucrose Non Fermentable (SWI/SNF) complex is a core factor for chromatin-remodeling that utilize energy of ATP hydrolysis to mobilize nucleosomes, and modulate gene transcription. Recent studies have identified recurrent mutations in major components of SWI/SNF in a variety of human cancers, including PC. We conducted a two-stage case–control study to investigate the associations between 14 common variants in 6 genes ( SMARCA4 , SMCRB1 , PBRM1 , BRD7 , ARID1 , and ARID2 ) encoding major components of the SWI/SNF complex and the risk of PC. Three promising variants, rs11644043, rs11085754, and rs2073389 in the discovery stage comprising 310 cases and 457 controls were further genotyped in the validation stage containing 429 cases and 585 controls. rs11644043 in BRD7 and rs11085754 in SMARCA4 showed consistent significant association with increased risk of PC in both stages, with odds ratios (ORs) and 95% confidence interval (CI) of 2.04 (1.17–3.56) and 1.64 (1.16–2.33) in stage one, and 1.97 (1.24–3.14) and 1.45 (1.04–2.02) in stage two, respectively in a recessive model. Furthermore, the accumulative effects of rs11644043, rs11085754, and rs2073389 in SMARCB1 were observed ( P for trend 〈0.0001). Intriguingly, gene-environmental interactions analysis consistently revealed the potential interactions of rs2073389 ( P add  − FDR = 6.00 × 10 −4 , P mul  − FDR = 1.50 × 10 −2 ) and rs11085754 ( P add  − FDR = 0.03) collaborating with smoking to modify the risk of PC. In conclusion, the current study provides evidence that genetic variants of SWI/SNF may contribute to the susceptibility of PC in the Chinese population. © 2014 Wiley Periodicals, Inc.
    Print ISSN: 0899-1987
    Electronic ISSN: 1098-2744
    Topics: Medicine
    Published by Wiley-Blackwell
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  • 4
    Publication Date: 2011-12-08
    Description: Langmuir DOI: 10.1021/la204016v
    Print ISSN: 0743-7463
    Electronic ISSN: 1520-5827
    Topics: Chemistry and Pharmacology
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