lipoprotein-associated phospholipase a2 (lp-pla2) is produced by inflammatory cells, bound to ldl and other lipoproteins, and hydrolyzes oxidized phospholipids in ldl. type 2 diabetes is the most common form of diabetes some investigations show the association of lipoprotein-associated phospholipase a2 mass and activity with the incidence of cardiovascular disease (cvd) in populations with high...

By summarizing Khachiyan's algorithm and Karmarkar's algorithm forlinear program (LP) a unified methodology for the design of polynomial-time algorithms for LP is presented in this paper. A key concept is the so-called extended binary search (EBS) algorithm introduced by the author. It is used as a unified model to analyze the complexities of the existing modem LP algorithms and possibly, help ...

In this paper, optimization of a linear objective function with fuzzy relational inequality constraints is investigated where the feasible region is formed as the intersection of two inequality fuzzy systems and Dombi family of t-norms is considered as fuzzy composition. Dombi family of t-norms includes a parametric family of continuous strict t-norms, whose members are increasing functions of ...

In this paper, using the Steklov function, we introduce the generalized continuity modulus and denethe class of functions Wr;kp;' in the space Lp. For this class, we prove an analog of the estimates in [1]in the space Lp.

So far, we have seen many algorithms based on linear program (LP) relaxations, typically involving rounding a given fractional LP solution to an integral solution of approximately the same objective value. In this lecture, we will look at another approach to LP relaxations, in which we will construct a feasible integral solution to the LP from scratch, using a related LP to guide our decisions....

studying csf (cerebro spinal fluid) is a simple and fast measure for diagnosing meningitis in children. for this reason, lp [umbar puncture] is used to treat csf.  regarding the side effects of lp, we decided to determine the positive points observed in the patients’ files than total patients confined to bed in our selected population. in this study conducted by descriptive retrospective method...

Machine learning involves the task of training systems to be able make decisions without being explicitly programmed. Important among machine tasks is classification involving process machines predictions from predefined labels. Classification broadly categorized into three distinct groups: single-label (SL), multi-class, and multi-label (ML) classification. This research work presents an appli...