Sentence examples for membership classifications from inspiring English sources

According to NFLPA's Department of Labor records since 2006, when membership classifications were first reported, around 60%, or almost two thirds, of the union's membership are classified as "former players," and not eligible to vote in the union, "because, as a matter of federal law, they cannot be members of the collective bargaining unit".

The fp and fn stand for false positive and false negative, respectively (incorrect membership classifications).

In existing CSG evaluation methods, the face membership classification is a bottleneck in executive efficiency.

We propose a generic point membership classification (PMC) for sweeping solids of arbitrary complexity moving according to one parameter affine motions.

Fuzzy membership classification of drinking water quality was calculated according to the quality standards (Table 7).

Fuzzy membership classification suggests that the majority of the samples fall under good water type followed by excellent water and poor water categories.

Fuzzy membership classification and WQI values suggest that the majority of the samples fall under excellent and poor water quality classes.

Given that such a comprehensive and intrusive source of text data does exist, there is clearly a potential for abusing a recruitment and membership classification method to target non-combative individuals.

The increasing importance of implicit objects in geometric modelling stems from the advantages these give over traditional modelling methods; the use of implicit techniques can help simplify complex actions such as point membership classification, which enables the detection of collisions in virtual environments and computer game scenarios.

Perhaps with sponsorship from Technicolor, the Academy could pioneeringly enact a new system of membership classification to promote true diversity by developing new ISO 15076 color standards, which would encode the actual nuances of Academy members' skin colors, with eye and hair colors being secondary considerations.

Compared to the existing 'direct' fitting methods, the proposed method has some distinctive advantages: it provides a natural means to parameterization, enables to recover exact NURBS geometry when the COP-data represent a true surface-of-revolution, and allows an easy point-membership classification for NURBS-bounded solid objects.