Results 171 to 180 of about 55,211 (217)
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Limit analysis of human proximal femur

Journal of the Mechanical Behavior of Biomedical Materials, 2021
A limit analysis numerical approach oriented to predict the peak/collapse load of human proximal femur, under two different loading conditions, is presented. A yield criterion of Tsai-Hu-type, expressed in principal stress space, is used to model the orthotropic bone tissues.
A.A. Pisano, P. Fuschi
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Proximity Measures for Cluster Analysis

2009
The present chapter provides the basic information about the measures of proximity between two subjects or groups of subjects. It is obvious that these concepts must be clear in order to apply them to any pattern recognition analysis, both supervised and unsupervised.
openaire   +3 more sources

Proximal clavicle excision: An analysis of results

Journal of Shoulder and Elbow Surgery, 1995
Medial clavicle excision has been reported by several authors, but few cases are documented, and long-term follow-up information is lacking. The purpose of this study was to examine the long-term results of medial clavicle excision in regard to function, pain, cosmesis, and complications.
R W, Acus, R H, Bell, D L, Fisher
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Graphical Analysis and Clustering of Asymmetric Proximities

2023
Proximity matrices are frequently asymmetric and analyzed by using the additive decomposition into symmetric and skew-symmetric components. A strategy for a preliminary graphical description and clustering of the two components based on some recent methods is presented.
Bove, Giuseppe, Vicari, Donatella
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Protein Sequence Analysis by Proximities

2016
Sequence data are widely used to get a deeper insight into biological systems. From a data analysis perspective they are given as a set of sequences of symbols with varying length. In general they are compared using nonmetric score functions. In this form the data are nonstandard, because they do not provide an immediate metric vector space and their ...
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Proximal Analysis and the Minimal Time Function

SIAM Journal on Control and Optimization, 1998
Continuing and refining previous work [e.g., \textit{F. H. Clarke, Yu. S. Ladyaev} and \textit{P. R. Wolenski}, J. Math. Anal. Appl. 196, No. 2, 722-735 (1995; Zbl 0865.49015); \textit{F. J. Clarke, R. J. Stern} and \textit{P. R. Wolenski}, J. Convex Anal. 2, No.
Wolenski, Peter R., Zhuang, Yu
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Sampling and Proximate Analysis

1987
Considerable information about a food sample can be gained through a general analysis of its main components—moisture, crude fat, crude protein, ash, and crude fiber. The determination of the percentages of these components is termed a proximate analysis.
Leonard W. Aurand   +2 more
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Proximal Decision Analysis with Imperfect Information

Management Science, 1976
In proximal decision analysis the value of a decision depends on a vector of state variables s and a vector of decision variables d in a quadratic fashion. Suppose some data, represented by a vector x, can be obtained. This paper describes a technique for using the data and develops an expression for the value of the information conveyed by the data ...
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Methods of proximate analysis by thermogravimetry

Thermochimica Acta, 1984
Abstract Two completely automated proximate analysis methods are developed for coals, cokes and other solid fossil fuel materials. The first is a dynamic—isothermal method and calculates the results on wet basis according to national standards. The second consists of two separate dynamic—isothermal methods and calculates the results of volatiles ...
F.S. Sadek, A.Y. Herrell
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Proximate Composition Analysis

2015
The proximate composition of foods includes moisture, ash, lipid, protein and carbohydrate contents. These food components may be of interest in the food industry for product development, quality control (QC) or regulatory purposes. Analyses used may be rapid methods for QC or more accurate but time-consuming official methods.
openaire   +1 more source

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