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| 1 | Numerical simulation for the coupling effect of local atmospheric circulations over the area of Beijing,Tianjin and Hebei Province显示文摘Using the model system MM5.V3 and multi-layer grid nesting technique, we have done a multi-scale numerical simulation over the area of Beijing, Tianjin and Hebei Province to analyze the temperature and wind field there and study its local circulations. The results show a coupling effect of Urban Heat Island Circulation (UHIC), Mountain Valley Breeze (MVB) and Sea Land Breeze (SLB) occurs in this area when the synoptic system is weak. The SLB can penetrate deep into the mainland for about 200 km when it is blooming. MVB can extend to south and cover almost the whole plain area in Beijing. Both MVB and SLB are diurnal periodical; meanwhile the phase of MVB drops behind that of SLB for about six hours. As a local circulation, the UHIC weakens the two circulations above, and it also has a diurnal period. As a result, the coupling effect of circulations reveals not only different features in spring-summer period and autumn-winter period in a year but also the difference between early morn- ing to noonday and afternoon to night in a day. We noted the diffusion of contamination over the area around Beijing, and found the steady presence of a transport routine of contamination over North-China throughout the year caused by the Coupling Effect mentioned above. This find is important for studying the environment pollution in this area. | LIU ShuHua LIU ZhenXin LI Ju WANG YinChun MA YanJun SHENG Li LIU HePing LIANG FuMing XIN GuoJun WANG JianHua | 2009 | Science China Earth Sciences2009，52，3： | 20 |
| 2 | Numerical simulations of land surface physical processes and land-atmosphere interactions over oasis-desert/Gobi region显示文摘A land-surface physical process model was coupled with a mesoscale atmospheric model. This cou- pled model was then used to simulate the interactions between land and the atmosphere, including surface temperature, net radiation, sensible heat flux and latent heat flux over a desert/Gobi with an oasis in northwestern semiarid regions in China. Comparisons between observations and simulations were made over the oasis and the desert/Gobi, respectively. Both cold island effect and wet island ef- fect, the so-called oasis effect, were observed and simulated. Lower temperature, higher specific hu- midity and weaker turbulent transfer were present over the oasis than the desert/Gobi. A subsidence occurred over the oasis, leading to a thermally-generated mesoscale circulation. | LIU ShuHua LIU HePing HU Yu ZHANG ChengYi LIANG FuMing WANG JianHua | 2007 | Science China Earth Sciences2007，50，2： | 9 |
| 3 | Steady motion and spiral patterns in typhoon显示文摘INTRODUCTIONItiswellknownthattyphoonSareakindofmooscaleatmosphericvortexovertheoceaninthelOwerlatitudes.Thethree-dimenSionalstructures(Anthes,1976)oftyphoonS,inwhichthereareaneyeandthewarrncenterwheretherearealocallOwpressurewithcycloniccirculationan... | Liu Shikuo Liang Fuming Liu Shida and Xin Guojun (Department of Geophysics, Peking University, Beijing 100871, China) | 1999 | Acta Oceanologica Sinica1999，18，4： | 2 |
| 4 | AraENCODE:A comprehensive epigenomic database of Arabidopsis thaliana显示文摘Dear Editor,Arabidopsis thaliana is an important model organism in plant biology and genetics.The genome of Arabidopsis ecotype Columbia-0 has been sequenced and completely annotated(Cheng et al.,2017),which facilitates the genomics research of plants.Over the past two decades,advances in the gene regulation studies have elucidated a spectrum of epigenetic molecular phenomena,including DNA methylation,histone modification,chromatin accessibility,and chromatin interaction,which collectively form an additional layer of information based on DNA sequence(Law and Jacobsen,2010).The epigenome landscape has been characterized in Arabidopsis as more high-throughput analyses were developed(Zhao et al.,2022).Without a doubt,in-depth studies of gene expression regulation heavily rely on such epigenomic information.However,the utilization of this knowledge poses a challenge for certain groups lacking bioinformatics analysts or adequate computing resources. | Fuming Lai Qiangqiang Fu Liang Xie Yaping Fangi Qiangwei Zhou Guoliang Li | 2023 | Molecular Plant2023，16，7： | 0 |
| 5 | Spectral Characteristics of Atmospheric Turbulence Model显示文摘SpectralCharacteristicsofAtmosphericTurbulenceModel11ThepaperwasreceivedonOct.25,1996GuojunXINShidaLIUShikouLIU&FumingLIANG(D... | Guojun XIN Shida LIU Shikou LIU & Fuming LIANG (Dept. of Geophysics, Peking University, Beijing, 100871, P.R.China) | 1996 | Communications in Nonlinear Science and Numerical Simulation1996，1，4： | 0 |
| 6 | Nano-imaging agents for brain diseases: Environmentally responsive imaging and therapy显示文摘Precise imaging is essential for the accurate diagnosis and surgical guidance of brain diseases but it is challenging due to the difficulties in crossing the blood-brain barrier(BBB),the difficulties in disease lesion targeting,and the limited contrast in the brain environment.Nano-imaging agents were characterized by functionalized modifications,high contrast,small size,and high biocompatibility,thus providing advantages in BBB crossing,brain targeting,imaging resolution,and real-time monitoring,holding great potential in brain disease imaging.Specific characteristics in brain environment and brain diseases(e.g.,marker proteins on the BBB,the pathogenic proteins in the neurodegenerative diseases or brain tumors,and the tumor and inflammatory microenvironment)provide opportunities for the functionalized nano-imaging agents to improve BBB crossing and disease targeting.Moreover,the versatile nano-imaging agents are endowed with therapeutic agents to facilitate the theranostics of brain diseases.Here,we summarized the common materials and imaging techniques of nano-imaging agents and their imaging treatment applications.We discussed their BBB penetration,environmental response for disease targeting,and therapeutic effects.We also provided insights on the advantages,challenges,and application of nano-imaging agents in detecting and treating brain diseases such as neurodegenerative diseases,brain tumors,stroke,and traumatic brain injury.These discussions will help develop nano-imaging agents-based theranostic platforms for the precise diagnosis and treatment of brain diseases. | Fuming Liang Qing You Xiaopeng Ma Huayi Wang Chen Wang Zhaohui He Yanlian Yang Ling Zhu | 2023 | Nano Research2023，16，12： | 0 |
| 7 | Nanomaterials for visualized tumor surgical navigation and postoperative recurrence inhibition显示文摘Preoperative localization of the tumor sites and intraoperative real-time monitoring are essential for precise surgery but are meanwhile challenging due to the lack of high-resolution,easy-to-operate,and fast visualization techniques.On the other hand,tumor recurrence and metastasis after surgery greatly reduce the survival rate of patients.Intervening tumor recurrence during surgery is a future direction of tumor treatment.Nanomaterials with external condition responsiveness(light,ultrasound,and magnetic field)can accurately assist intraoperative detection and surgical resection due to their functions such as tumor cell targeting,fluorescence imaging,and real time monitoring,providing a more accurate,shorter duration,and visualization method of surgical resection.Moreover,nanomaterials are versatile and can easily be tailored for application in different tumors.Locally filled or systemically circulating nanomaterials with slow drug release and residual tumor cell-targeting ability have promising applications in inhibiting tumor recurrence.Here,we review surgical navigation and postoperative recurrence interventional nanomaterials and their landscape in guiding tumor treatment.We summarize the classification and characteristics of these nanomaterials and discuss their application in the surgical navigation and recurrence inhibition of different tumors.We also provide an outlook on the challenges and future development of nanomaterials for visualized tumor surgical navigation and postoperative recurrence inhibition. | Fuming Liang Qing You Hongjiang Ye Wenqiao Fu Xiaopeng Ma Jiahe Tan Yinrui Ma Chen Wang Yanlian Yang Zhaohui He Ling Zhu | 2023 | Nano Research2023，16，12： | 0 |
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