PPT-Spatio -temporal aerosol particle

distributions in the Upper TroposphereLowermost Stratosphere measured by the IAGOSCARIBIC Observatory Denise Assmann M Hermann A Weigelt B Martinsson C Brenninkmeijer A . DuuvFuDuuvFkv 282Y. N and are concentrations of the chemical materials and and the diffusion coefficients, the in-flow rate of from outside, + the removal rate from reaction field. No Spatio-Temporal Uncertain (Social) Networks. . Chanhyun Kang. Computer Science Dept.. University of Maryland, USA. chanhyun@cs.umd.edu. Andrea Pugliese. DEIS Dept.. University of Calabria, Italy. apugliese@deis.unical.it. Amazon (GoAmazon2014/5). . . . . Carbon Cycle Cloud Life Cycle Aerosol Life Cycle. Climate. Ecosystems. Atmospheric Composition. Presented by . Scot . Martin . (Harvard). o. n behalf of Brazil. Cameron McNaughton. Golder. Associates Ltd.. Section Outline. 5.4.1 Ocean. 5.4.2 Aerosols. . 5.4.2.1 Introduction. . 5.4.2.2 Data Requirements. . 5.4.2.3 Program Requirements. 5.4.3 Clouds. <currently empty>. at . Lhasa. and . Kunming. during Asian summer monsoon. Jianchun Bian . (IAP/CAS). In the poster, balloon sounding water vapor, ozone, and particle (SWOP) campaign during the ASM will be introduced, including sonde, location and timing. . Douglas B. Collins. Prather Research Group. University of California, San Diego. CalWater2 Planning Workshop – 23 April 2014. UCSD/SIO Mobile Laboratory. Field-Deployable Platform. 20’ x 7’ Double Axle Box Trailer. Problem. Segmenting moving . f. oreground in a video. Related work & intuitions. Dynamic background ~ dynamic textures . Image sequences of certain textures moving and changing under certain properties.. Jie Bao, . Ruiyuan. Li, . Xiuwen. Yi, Yu Zheng. Urban Computing Group. Microsoft Research, China. Motivation. Bridge the gap between . massive. . trajectory data. and . urban computing applications. -Temporal Data in. Massive Multiplayer Online Games. Matthias Schubert. joined. . work. . with. Hans-Peter Kriegel . and. Andreas . Züfle. Lehrstuhl für Datenbanksysteme. Institut für Informatik. mountain sites – a . lag-autocorrelation analysis.  . Andrews, . E.. 1,2. , . Ogren. , . J.A.. 1. , . Bonasoni. , . P.. 3. , . Marinoni. , . A.. 3. , . Cuevas, . E.. 4. , . Rodríguez, . S.. 4. , Sun. Elisabeth Andrews. CATCOS Aerosol Workshop, June 2016. What’s an Aerosol. ?. Definition: . Particle or liquid suspended in a gas.. Examples of atmospheric aerosols:. Dust. Combustion aerosol (forest fires, vehicles…). . supersite. P. . Formenti. , A. G. di . Sarra. , and the . ChArMex. Lampedusa team . 2. Centre National des Recherches Météorologiques. ERS. MNC. LMP. 35.5°N, 12.6°E. Station. Airport. 2 km. 10 km. Erekle Shishniashvili. Seminar - Graph Deep Learning In Medical Imaging. Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling . Spatio. -temporal Patterns of Holistic Brain Functional Networks. Raghu Machiraju. Firdaus. . Janoos. , Fellow, Harvard Medical. Istavan. (. Pisti. ) . Morocz. , . Instuctor. , Harvard . Medical. Premise. Understanding the mind not only requires a comprehension of the workings of low–level neural networks but also demands a detailed map of the brain’s functional architecture and a description of the large–scale connections between populations of neurons and insights into how relations between these simpler networks give rise to higher–level thought.