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A synthetic adsorbable suture material. Monofilament synthetic absorbable suture, prepared from the polyester, poly (p-dioxanone). Composition: Natural purified collagen: Natural purified collagen: Polyglycolic acid: Polyester and poly (p-dioxanone) Adsorption rate and tensile strength: Strength retention for at least 7 days.
Monocryl is a synthetic, absorbable suture manufactured in Cornelia, Georgia, USA, and trademarked by Ethicon. It is composed of poliglecaprone 25, which is a copolymer of glycolide and epsilon-caprolactone. [1] It comes both dyed (violet) and undyed (clear) and is an absorbable monofilament suture.
The following chart shows the solubility of various ionic compounds in water at 1 atm pressure and room temperature (approx. 25 °C, 298.15 K). "Soluble" means the ionic compound doesn't precipitate, while "slightly soluble" and "insoluble" mean that a solid will precipitate; "slightly soluble" compounds like calcium sulfate may require heat to precipitate.
Another procedure consists in the thermally induced solid-state polycondensation of halogenoacetates with general formula X-—CH 2 COO − M + (where M is a monovalent metal like sodium and X is a halogen like chlorine), resulting in the production of polyglycolide and small crystals of a salt.
A matrix with all entries either 0 or 1. Synonym for (0,1)-matrix, binary matrix or Boolean matrix. Can be used to represent a k-adic relation. Markov matrix: A matrix of non-negative real numbers, such that the entries in each row sum to 1. Metzler matrix: A matrix whose off-diagonal entries are non-negative. Monomial matrix
Recall that M = I − P where P is the projection onto linear space spanned by columns of matrix X. By properties of a projection matrix, it has p = rank(X) eigenvalues equal to 1, and all other eigenvalues are equal to 0. Trace of a matrix is equal to the sum of its characteristic values, thus tr(P) = p, and tr(M) = n − p. Therefore,
In mathematics, matrix calculus is a specialized notation for doing multivariable calculus, especially over spaces of matrices.It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single variable, into vectors and matrices that can be treated as single entities.
In this algorithm, n << N landmark points are used out of the total N data points and an nxN matrix of the geodesic distance between each data point to the landmark points is computed. Landmark-MDS (LMDS) is then applied on the matrix to find a Euclidean embedding of all the data points. [2]