The UF College of Law has a course entitled Economics of the Family. Developed as part of the Family Law Certificate Program, the class covers the quantitative aspects of Family Law: alimony, child support, distribution of property, marriage contracts, social security, child care and elder care costs, adoption expenses, education expenses, heart balm actions, the tax consequences of each topic,...

Clustering genes into biological meaningful groups according to their pattern of expression is a main technique of microarray data analysis, based on the assumption that similarity in gene expression implies some form of regulatory or functional similarity. We give an overview of various clustering techniques, including conventional clustering methods (such as hierarchical clustering, k-means c...

introduction crimean-congo hemorrhagic fever (cchf) is a viral hemorrhagic fever which transmitted by tick-bites, or through contact with infected animal tissues or secretions during and immediately post-slaughter. it can be responsible for severe outbreaks in humans. case presentation we have explained five patients of a family with (cchf), which acquired the illness at one time. every five pa...

This article deals with Part family formation problem which is believed to be moderately complicated to be solved in polynomial time in the vicinity of Group Technology (GT). In the past literature researchers investigated that the part family formation techniques are principally based on production flow analysis (PFA) which usually considers operational requirements, sequences and time. Part C...

Cellular manufacturing is a useful way to improve overall manufacturing performance. Group technology is used to increase the productivity for manufacturing high quality products and improving the flexibility of manufacturing systems. Cell formation is an important step in group technology. It is used in designing good cellular manufacturing systems. The key step in designing any cellular manuf...

Subspace clustering discovers the clusters embedded in multiple, overlapping subspaces of high dimensional data. Many significant subspace clustering algorithms exist, each having different characteristics caused by the use of different techniques, assumptions, heuristics used etc. A comprehensive classification scheme is essential which will consider all such characteristics to divide subspace...