Venue: Room 234, College of Life SciencesSpeaker: Dr. Jun Yu, Temple UniversityChair, Education Committee, Center for Metabolic Diseases ResearchChair, Metabolic Disease Research Forum, Center for Metabolic Diseases ResearchAssociate Professor, PhysiologyAssociate Professor, Center for Metabolic Diseases Research

Venue: Room 1417, Library and Information Building C, Zijingang CampusAbstract:The instant access to gambling anytime, anywhere, has made online gambling highly habitual. As a result, some online gamblers choose to volitionally enable the website-provided disruptive IT features to control their gambling routines. The objective of this study is to examine the role of these features in regulating online gambling behavior. Drawing on theories of habitual automaticity and habit disruption, we theorize the efficacy and mechanism of disruptive features while taking into account heterogeneity in individual regularity and game type. We tested the model using data collected over 10 years from 3,526 users of a gambling website. First, we found that individuals’ repetitive gambling patterns weakened as the duration of exposure to disruptive features increased. Second, the behavior of more regular gamblers was more resistant to the disruptive features. Third, disruptive features were less effective on sports games compared with casino games. Overall, the present study contributes to the IS literature by clarifying how simple IT features may disrupt unwanted and difficult-to-break online gambling habits. Our findings are also likely to apply to broader areas of online services in which the application in question is integrated into everyday life and the system can offer a disruptive mechanism.Speaker:Xiao Ma is an Assistant Professor of Business Analytics in the C. T. Bauer College of Business at the University of Houston. He holds a Ph.D. in Business from the University of Wisconsin-Madison. Xiao’s research focuses on the problems of online gambling behavior and proper interventions, behavior analytics in online labor and knowledge communities, emerging phenomena & theory development in Information Systems, methodological issues in management research, etc. His latest research interests include healthcare analytics, and using natural experiments to reveal managerial implications of digital system design change. Mostly recently, Xiao has also expanded his research focus into the areas of artificial intelligence and deep-learning algorithms, exploring how business research can leverage the advanced computational methods. His research has appeared in premier information systems journals, including Information Systems Research, Journal of Management Information Systems, and Journal of the Association for Information Systems.

Venue: Room 351, College of Pharmaceutical Sciences, Zijingang CampusSpeaker: Joshua Xu, Branch Chief for Research-to-Review, Division of Bioinformatics and Biostatistics, FDA/NCTR

Venue: Room 205, Administrative Building, School of MedicineSpeaker: Dr. Dejun Shen, associate surgical pathologist, Southern California Permanente Medical Group

Venue: Room 245, College of Life Sciences, Zijingang CampusSpeaker: Prof. Michael Pack, Perelman School of Medicine, University of Pennsylvania

Venue: Room 201, No. 5 East Teaching Building, Zijingang CampusSpeaker: Vahid Aryadoust, Assistant Professor, National Institute of Education, Nanyang Technological University

Venue: Room 705. Administrative Building, School of Medicine, Zijingang CampusSpeaker: Quanlong Lu, research fellow, Center for Cancer Research, National Cancer Institute (USA)

Venue: Room 254, College of Pharmaceutical Sciences, Zijingang CampusSpeaker: Dr. Daisuke Uemura, Honorary Professor of Nagoya University

Venue: Room 201, No. 12 Teaching Building, Yuquan CampusSpeaker: Fulvio ZoncaFulvio Zonca is Research Director at the ENEA Research Centre, Frascati, Italy, and Adjunct Professor at the Institute for Fusion Theory and Simulation, Zhejiang University, Hangzhou, China since 2009. At present, he is Principal Investigator of the project Multi-scale Energetic particle Transport in fusion devices (MET), an Enabling Research Project for the implementation of the fusion roadmap by the Consortium EUROfusion. He is Author of more than 150 papers in major international journals and has recently published an extended Reviews of Modern Physics work, together with Professor Liu Chen, on the Physics of Alfvén waves and energetic particles in burning plasmas (RMP 88, 015008, 2016).Fulvio Zonca received his Ph.D. degree in Astrophysical Sciences from Princeton University in 1993 and was employed as Researcher at ENEA-Frascati Research Centre from 1993 till 1997. From 1997 till 2015 he was the Head of the Plasma Physics Theory Group in the Magnetic Fusion Division of the same Institute. He is Fellow of the American Physical Society since 2005 and Member of the Editorial Board of Physics of Plasmas (since 2019), and of Annals of Mathematical Sciences and Applications (since 2015). He is former member of the Editorial Board of Plasma Physics and Controlled Fusion (from 2006 till 2018), and of the EFDA Science and Technology Advisory Committee (from 2007 till 2014). He is also present or former member of a number of University and National Laboratory International Advisory Committees.Abstract:The Earth’s radiation belts’ plasma, under certain conditions, can amplify specific types of electromagnetic waves. In particular, the whistler waves, which are electromagnetic fluctuations propagating at less than the non-relativistic electron cyclotron frequency, can occur in ~0.1s bursts with either rising or falling tones and are known as chorus because of their characteristic chirping. Chorus excitation and nonlinear dynamics is one of the long-studied physics problems of Earth’s magnetosphere due to its implications for particle acceleration and distribution in the radiation belts.Nonlinear wave particle interaction during chorus wave generation has been recently shown to be a non-adiabatic process; that is, the wave-particle trapping time in the resonant phase-space structures, ttr, is typically of the same order as the characteristic nonlinear time scale, tNL. These results shed new light on the physical processes underlying wave-particle resonance and nonlinear mode evolution with respect to previous analyses assuming tNL >>ttr. In this work, we present an analytical study of nonlinear evolution of phase-phase space structures in support of our earlier numerical simulation results, based on a hybrid MHD-fully kinetic description.We adopt a nonlinear description of the phase-space structures due to the interaction of supra-thermal electrons with the fluctuating fields produced by a quasi-periodic chorus wave. This allows us to derive the renormalized expression of supra-thermal electron distribution function in the form of a Dyson-like equation, which illuminates the self-consistent nonlinear evolution of resonance structures in the phase-space. In particular, we demonstrate that frequency sweeping of chorus fluctuations occurs as consequence of maximization of wave-particle power transfer; and discuss the consequence of this on the spatiotemporal features of the fluctuation spectrum.