Representational Models and Nonlinear Dynamics: Irreconcilable Approaches to Human Movement Timing and Coordination or Two Sides of the Same Coin? Introduction to the Special Issue on Movement Timing and Coordination

2002 ◽  
Vol 48 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Ralf Th. Krampe ◽  
Ralf Engbert ◽  
Reinhold Kliegl
Keyword(s):  
Nonlinear Dynamics ◽  
Human Movement ◽  
Special Issue ◽  
Movement Timing ◽  
Two Sides ◽  
Representational Models

Reflections on Research in Kinesiology

2021 ◽  
pp. 1-7
Author(s):  
Karl M. Newell
Keyword(s):  
Physical Activity ◽  
Research Agenda ◽  
Healthy Lifestyle ◽  
Human Movement ◽  
Current Status ◽  
Special Issue ◽  
New Developments ◽  
Related Research ◽  
Research And Teaching ◽  
Initial Research

This paper provides reflections on the progress to date and current status of research in kinesiology. The accompanying overview articles in this special issue of Kinesiology Review show that the contemporary disciplinary/professional foci of kinesiology remain, by and large, the same as the initial research and teaching structures of 50 years ago, as outlined in the inaugural overviews. Nevertheless, within this prevailing disciplinary/professional structure, there have been many new developments in movement-related research, including the juxtaposition of novel alignments and integrations of certain specializations of kinesiology. There is general consensus that the quality and quantity of research in kinesiology have advanced substantially, albeit unevenly, on multiple fronts, both within and between the areas of specialization. The research agenda in kinesiology has benefitted from the growing realization of the centrality of human movement and physical activity in contributing to a healthy lifestyle for individuals and societies.

A Purpose-Driven User Mobility Model for Opportunistic Networks

2010 ◽  
Vol 171-172 ◽  
pp. 804-809
Author(s):  
Jian Bo Xu ◽  
Guang Yang
Keyword(s):  
Human Movement ◽  
Mobility Model ◽  
Opportunistic Networks ◽  
User Mobility ◽  
Node Mobility ◽  
Opportunistic Network ◽  
Data Forwarding ◽  
Challenging Tasks ◽  
Efficient Data ◽  
Two Sides

An opportunistic Network is a network consisting exclusively of users’ mobile devices, with mobility being one of its essential features. Under the circumstances that a path may never exist between the two sides of communication, an opportunistic network exploits node mobility to realize delayed data delivery by capturing the opportunities of node meeting to relay messages. Designing efficient data forwarding strategies is one of the most challenging tasks in opportunistic network research, while currently the validation of any protocol for data forwarding almost absolutely relies on simulations of which node mobility models are one of the fundamental components. In this paper, we suggest a purpose-driven user mobility model for opportunistic networks which, to our best knowledge, is the first work considering the factor of purposes behind users’ movement. On the basis of location functionalization, our model can gain a better approximation of human movement patterns.

scholarly journals INTRODUCTION TO RECENT INSIGHTS INTO FINANCIAL, HOUSING, AND MONETARY MARKETS

2017 ◽  
Vol 22 (7) ◽  
pp. 1721-1726
Author(s):  
Fredj Jawadi
Keyword(s):  
Nonlinear Dynamics ◽  
Financial Markets ◽  
International Workshop ◽  
Asset Price ◽  
Short Note ◽  
Price Dynamics ◽  
Special Issue ◽  
Real Activity ◽  
Market Trends ◽  
Selection Of

This short note gives an overview of recent research on topics concerning Financial, Housing, and Monetary markets. In particular, I introduce a special issue that includes a selection of papers presented at the second International Workshop on Financial Markets and Nonlinear Dynamics (FMND) held in Paris in June 2015 (www.fmnd.fr). The papers investigate various issues and discuss hypotheses that help us to understand asset price dynamics and their impact on real activity, as well as the new rules governing financial markets. Furthermore, their conclusions can help us to improve the forecasting of market trends in the future.

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