L
Lei Ren
Researcher at University of Manchester
Publications - 183
Citations - 3996
Lei Ren is an academic researcher from University of Manchester. The author has contributed to research in topics: Gait (human) & Computer science. The author has an hindex of 27, co-authored 163 publications receiving 2856 citations. Previous affiliations of Lei Ren include Jilin University & Royal Veterinary College.
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“Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022
Alberto Montanari,G. Young,Hubert H. G. Savenije,Denis A. Hughes,Thorsten Wagener,Lei Ren,Demetris Koutsoyiannis,Christophe Cudennec,Elena Toth,Salvatore Grimaldi,Günter Blöschl,Murugesu Sivapalan,Keith Beven,Keith Beven,Hoshin V. Gupta,Matthew R. Hipsey,Bettina Schaefli,Bettina Schaefli,Berit Arheimer,Eva Boegh,Stanislaus J. Schymanski,G. Di Baldassarre,Bofu Yu,Pierre Hubert,Y. Huang,Andreas Schumann,David A. Post,Veena Srinivasan,Ciaran J. Harman,Sally E. Thompson,Magdalena Rogger,Alberto Viglione,Hilary McMillan,Gregory W. Characklis,Zhonghe Pang,V. Belyaev,V. Belyaev +36 more
TL;DR: The Panta Rhei Everything Flows project as mentioned in this paper is dedicated to research activities on change in hydrology and society, which aims to reach an improved interpretation of the processes governing the water cycle by focusing on their changing dynamics in connection with rapidly changing human systems.
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Whole body inverse dynamics over a complete gait cycle based only on measured kinematics
TL;DR: The model gave reasonably good estimates of sagittal plane ground forces and moment; however, the estimates in the other planes were less good, which the authors believe is largely due to their small magnitudes in comparison to the sagittal forces and Moment.
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High-Performance Ionic-Polymer–Metal Composite: Toward Large-Deformation Fast-Response Artificial Muscles
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A review on topological architecture and design methods of cable-driven mechanism:
Huajie Hong,Ali Jabran,Lei Ren +2 more
TL;DR: The applied cable-driven architectures and the corresponding theoretical studies are reviewed and summarized here, as well as their theories and methods, such as the workspace analysis based on the Jacobian matrix, particle swarm optimization and genetic algorithm, and kinematic designbased on the graph theory.
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Predictive modelling of human walking over a complete gait cycle
TL;DR: In this article, an inverse dynamics multi-segment model of the body was combined with optimisation techniques to simulate normal walking in the sagittal plane on level ground, and the simulation results suggest that minimising energy expenditure is a primary control objective in normal walking.