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X-WR-CALDESC:Events for Faculty of Science and Technology | University of Macau
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TZID:Asia/Macau
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TZOFFSETFROM:+0800
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DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180723T150000
DTEND;TZID=Asia/Macau:20180723T160000
DTSTAMP:20260523T045341
CREATED:20180723T070025Z
LAST-MODIFIED:20220927T043447Z
UID:6048-1532358000-1532361600@www.fst.um.edu.mo
SUMMARY:Viscosity of erythritol-water particles as a function of water activity: an inter-comparison of techniques for particle viscosity measurements
DESCRIPTION:Instructors/Speakers\nDr. Yangxi CHU\nPostdoctoral Fellow\nSchool of Energy and Environment\nCity University of Hong Kong\nHong Kong\, China \nAbstract\nViscosity of secondary organic aerosol (SOA) particles is important because it influences the phase state\, hygroscopic growth and heterogeneous chemistry of SOA particles but remains poorly characterized. To investigate the effect of hydroxyl functional group on SOA viscosity\, in this work\, the viscosity of erythritol (i.e.\, 1\,2\,3\,4-butanetetrol) – water particles was measured as a function of water activity using the bead-mobility\, aerosol optical tweezer and rectangular fluorescence recovery after photobleaching (rFRAP) techniques. The viscosity of pure erythritol was determined by extrapolating the experimental data to zero water activity. By combining with literature data\, the increase in viscosity from the addition of one hydroxyl functional group to a linear C4 backbone was estimated. Furthermore\, experimental results show that multiple viscosity measurement techniques give viscosities in reasonable agreement if the experimental uncertainties are considered. \nBiography\nDr. Yangxi Chu is currently a postdoctoral fellow at School of Energy and Environment\, City University of Hong Kong. He received his PhD at The Hong Kong University of Science and Technology (HKUST) in 2017 and BEng at University of Science and Technology of China (USTC) in 2013. \n 
URL:https://www.fst.um.edu.mo/event/viscosity-of-erythritol-water-particles-as-a-function-of-water-activity-an-inter-comparison-of-techniques-for-particle-viscosity-measurements/
LOCATION:E11-1035
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180726T103000
DTEND;TZID=Asia/Macau:20180726T113000
DTSTAMP:20260523T045341
CREATED:20180726T023024Z
LAST-MODIFIED:20220927T043446Z
UID:6044-1532601000-1532604600@www.fst.um.edu.mo
SUMMARY:Pursuits on improved exponentially fitted adaptations for the numerical solution of singular reaction-diffusion equations
DESCRIPTION:Instructors/Speakers\nProf. Qin SHENG\nProfessor\nDepartment of Mathematics and Center for Astrophysics\, Space Physics\, and Engineering Research (CASPER)\nBaylor University\nTexas\nU.S.A. \nAbstract\nMany finite difference methods that involve spatial adaptation employ an equidistribution principle. In these cases\, a new mesh is constructed such that a given monitor function is equidistributed in some sense. Typical choices of the monitor function involve the solution or one of its many derivatives. This constructive strategy has been proven to be extremely effective and easy-to-use in multiphysical computations. However\, selections of core monitoring functions are often challenging and crucial to the computational success. This talk concerns several different designs of the monitoring function that targets a highly nonlinear partial differential equation that exhibits both quenching-type and degeneracy singularities. While the first a few monitoring designs to be discussed are within the so-called direct regime\, the rest belong to a newer category of the indirect type\, which requires the priori knowledge of certain important solution features or characteristics. Simulated examples will be presented to illustrate our study and conclusions. Further research initiatives with Macau colleagues will be discussed. \nBiography\nProf. Sheng joined the Baylor faculty in August 2005. Prior to coming to Baylor he held a research position in University of London (1989-1990)\, a visiting professor position in Baylor University (2003) and faculty positions in National University of Singapore (1990-1995)\, University of Louisiana (1996-2001) and University of Dayton (2001-2005). He was a recipient of the J. T. Knight Prize in Mathematics (1987) and Lundgren Research Award (1989). Dr. Sheng was an invited research participant of the Isaac Newton Institute for Mathematical Sciences\, Cambridge\, England (2007). He was a U.S. Air Force SFFP Research Fellow (2005-2007). Dr. Sheng directed two doctoral dissertations\, 8 Master of Science theses and a number of undergraduate research theses. He is married to Helen. They have sons Andy and Dan. He enjoys reading\, painting\, traveling and spending time with the family. \nProf. Sheng’s research is in computational mathematics. In particular\, he is interested in splitting and adaptive methods for solving singular partial differential equations. He has been involved in cross-disciplinary projects in scientific and engineering computations. Prof. Sheng has been active in his research fields and community. He is on editorial boards of several scholarly journals and special research issues. His projects have been supported by the United States Air Force Research Laboratory and Department of Defense. \n 
URL:https://www.fst.um.edu.mo/event/pursuits-on-improved-exponentially-fitted-adaptations-for-the-numerical-solution-of-singular-reaction-diffusion-equations/
LOCATION:E11-2027
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180727T143000
DTEND;TZID=Asia/Macau:20180727T153000
DTSTAMP:20260523T045341
CREATED:20180727T063040Z
LAST-MODIFIED:20220927T043445Z
UID:6040-1532701800-1532705400@www.fst.um.edu.mo
SUMMARY:Gibbs partitions\, Mittag Leffler functions and waiting time models
DESCRIPTION:Instructors/Speakers\nProf. Lancelot F. JAMES\nDirector of PhD and MPhil programs\, School of Business and Management\nProfessor of Information Systems\, Business Statistics\, and Operations Management (ISOM)\, HKUST Business School\nThe Hong Kong University of Science and Technology (HKUST) \nAbstract\nt is known random partitions of the integers may be obtained by a process of discovery of excursion intervals of generalized notions of Bessel processes\, with the most prominent example being Brownian motion or Brownian bridge. This leads to the two parameter Chinese restaurant process\, which has a variety of applications. Generalizations of this scheme lead to the general class of Gibbs partitions. We examine Gibbs partitions from different perspective and describe classes of random partitions that can be expressed in terms of waiting time distributions. \nBiography\nProf. Lancelot F. JAMES received his PhD degree at SUNY\, Buffalo. He has published nearly 40 papers on the journals such as Annals of Statistics\, Annals of Applied Probability\, Journal of American Statistical Associations\, Journal of Business and Economics Statistics\, Bernoulli and so on. \n 
URL:https://www.fst.um.edu.mo/event/gibbs-partitions-mittag-leffler-functions-and-waiting-time-models/
LOCATION:E11-1015
CATEGORIES:event_list,seminarslectures
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