"> The present study described the diversity of wheat and barley varieties andlandraces available in farmer’s fields in Syria using different indicators. Analysisof spatial and temporal diversity and coefficient of parentage along withmeasurements of agronomic and morphological traits were employed to explain thediversity of wheat and barley varieties or landraces grown by farmers in Syria.Farm...

Despite a large number of ecological studies that document diversity loss resulting from anthropogenic disturbance, surprisingly few consider how disturbance affects temporal patterns of diversity that result from seasonal turnover of species. Temporal dynamics can play an important role in the structure and function of biological assemblages. Here, we investigate the temporal diversity pattern...

Data from 247 global software development teams were used to examine the impact of temporal dispersion and leadership roles on the relationship between nationality diversity and team performance. Nationality diversity was positively related to team performance when project leaders regularly coordinate and monitor team members’ activities, and acted as mentors and facilitator. However, when nati...

In this paper, we argue that the metaphor form of a comparison (i.e., a topic-vehicle pair) is preferred over, and more comprehensible than, the simile form when the interpretive diversity for that comparison is high. Interpretive diversity refers to the richness of the figurative meaning of a comparison; it is high to the extent that more features or properties are related to the figurative me...

Three markedly different models of multispecies competition-one mechanistic, one phenomenological, and one statistical-all predict that greater diversity increases the temporal stability of the entire community, decreases the temporal stability of individual populations, and increases community productivity. We define temporal stability as the ratio of mean abundance to its standard deviation. ...

As we explored in the previous chapter, CF algorithms are often evaluated according to how accurately they predict user ratings [HKTR04]. However, as recommender systems grow dynamically, a problem arises: current evaluation techniques do not investigate the temporal characteristics of the produced recommendations. Researchers have no means of knowing whether, for example, the system recommends...