Skim, sweet buttermilk, and butter-derived aqueous phase components were used to reemulsify low-melt butteroil into creams with a desired 20% milkfat. The implications of pasteurization process, homogenization sequence, and formulation on the physicochemical properties of reformulated and natural creams were investigated. Creams homogenized prior to pasteurization had significantly (p<0.05) gre...

Webster [8] has published a theory of the source of evaluations and expectations for performance (which we will henceforth refer to as the source theory), along with results of experiments intended to test derivations from the theory. The empirical results were interpreted as being in accord with the derivations, and thus, as supportive of the theory. Study of the theory and the derivations ind...

This study containsa new approach to the unconstrained minimization of a multivariable function f(.) using a quasi-Newton step computation procedure. The whole problem is reformulated as the control problem of a linear system described by its state-space equations and having unknown dynamical properties. First of all, an adaptive identification problem arises and is solved by using set estimati...

This study develops an interactive clustering model and methodology for high dimensional data. The similarity index is calculated with proposed formulation for both continuous-scaled and nominal-scaled attributes. The associated similarity score values are constructed into a graph as clique partitioning problem, which can be reformulated into a form of unconstrained quadratic program model and ...

We present primal-dual decomposition algorithms for convex optimization problems with cost functions f(x) + g(Ax), where f and g have inexpensive proximal operators and A can be decomposed as a sum of two structured matrices. The methods are based on the Douglas–Rachford splitting algorithm applied to various splittings of the primal-dual optimality conditions. We discuss applications to image ...

In this letter we discuss cost optimization of sensor networks monitoring structurally full-rank systems under distributed observability constraint. Using structured systems theory, the problem is relaxed into two subproblems: (i) sensing cost optimization and (ii) networking cost optimization. Both problems are reformulated as combinatorial optimization problems. The sensing cost optimization ...