18 research outputs found
Meniscal shear stress for punching
Aim: Experimental determination of the shear stress for punching meniscal tissue. Methods: Meniscectomy (surgical treatment of a lesion of one of the menisci) is the most frequently performed arthroscopic procedure. The performance of a meniscectomy is not optimal with the currently available instruments. To design new instruments, the punching force of meniscal tissue is an important parameter. Quantitative data are unavailable. The meniscal punching process was simulated by pushing a rod through meniscal tissue at constant speed. Three punching rods were tested: a solid rod of Oslash; 3.00 mm, and two hollow tubes (Oslash; 3.00-2.60 mm) with sharpened cutting edges of 0.15 mm and 0.125 mm thick, respectively. Nineteen menisci acquired from 10 human cadaveric knee joints were punched (30 tests). The force and displacement were recorded from which the maximum shear stress was determined (average added with three times the standard deviation). Results: The maximum shear stress for the solid rod was determined at 10.2 N/mm2. This rod required a significantly lower punch force in comparison with the hollow tube having a 0.15 mm cutting edge (plt;0.01). Conclusions: The maximum shear stress for punching can be applied to design instruments, and virtual reality training environments. This type of experiment is suitable to form a database with material properties of human tissue similar to databases for the manufacturing industr
Commentaries on the Ten Most Highly Cited Psychometrika Articles from 1936 to the Present
The ten most frequently cited articles appearing in Psychometrika since its establishment in 1936 are highlighted in a series of ten commentaries. They are grouped in three themes, with chronological ordering within these groups. The first group regards some characteristic problems in factor analysis, the second group is about the analysis of proximities, and the third group addresses psychometric concerns in multivariate analysis
Statistical Significance of the Contribution of Variables to the PCA solution: An Alternative Permutation Strategy
principal components analysis, permutation, statistical significance, component loadings, p-values,
Graph-theoretic representations for proximity matrices through strongly-anti-Robinson or circular strongly-anti-Robinson matrices
least-squares matrix approximation, graphical representation, strongly-anti-Robinson, circular strongly-anti-Robinson,
An interactive multiobjective programming approach to combinatorial data analysis
combinatorial optimization, multiobjective programming, seriation,