33 research outputs found
The biomechanical differences of wearing safety shoes compared with everyday shoes on dynamic balance when tripping over an obstacle
Using Polarized Spectroscopy to Investigate Order in Thin-Films of Ionic Self-Assembled Materials Based on Azo-Dyes
Three series of ionic self-assembled materials based on anionic azo-dyes and cationic benzalkonium surfactants were synthesized and thin films were prepared by spin-casting. These thin films appear isotropic when investigated with polarized optical microscopy, although they are highly anisotropic. Here, three series of homologous materials were studied to rationalize this observation. Investigating thin films of ordered molecular materials relies to a large extent on advanced experimental methods and large research infrastructure. A statement that in particular is true for thin films with nanoscopic order, where X-ray reflectometry, X-ray and neutron scattering, electron microscopy and atom force microscopy (AFM) has to be used to elucidate film morphology and the underlying molecular structure. Here, the thin films were investigated using AFM, optical microscopy and polarized absorption spectroscopy. It was shown that by using numerical method for treating the polarized absorption spectroscopy data, the molecular structure can be elucidated. Further, it was shown that polarized optical spectroscopy is a general tool that allows determination of the molecular order in thin films. Finally, it was found that full control of thermal history and rigorous control of the ionic self-assembly conditions are required to reproducibly make these materials of high nanoscopic order. Similarly, the conditions for spin-casting are shown to be determining for the overall thin film morphology, while molecular order is maintained
Coefficient of friction between slip resistant safety shoes and different types of floors
Trend validation of metabolic models against measurements using indirect calorimetry
A muscuskeletal model made with Anybody Modeling Software used for the article "Trend Validation of Metabolic Models Against Measurements Using Indirect Calorimetry".
The zip file contains the two items. A folder and a .py file.
The .py file shows the use of AnyPyTools (can be installed with PIP) to run the AnyBody model with easy to use iterations.
The folder contains several files and folders. The "Knee_eks_fleks_Model.Main.any" is the primary file for the model.
KneeMetabolicTesting.any contains the relevant information regarding how to output the metabolic models