this study aimed at identifying required competencies for the labor market by the graduates majoring in the agricultural extension education field. the study population included undergraduates, faculty members, and employers, as related to bachelor level in three extension and education departments at bu ali sina, tehran, and shiraz universities of iran. the study has employed both quantitative...

in structural time seriesregression models, binary (classic) dummy variables are used to quantify the effects of economic structural breaks, changes or qualitative variables. the binary dummy variable can be challenged using this dummy variable in which 0 or 1 represent absence or presence of structural breaks(or changes), but presence of the structural breaks(or changes) may not have uniform e...

1 Abstract All the qualitative simulation algorithms so far proposed depend upon local propagation paradigm, and hence produce spurious states. Recent approaches use topological constraints in phase space diagrams for filtering the spurious states. We propose an alternative method of recognizing global properties in the graphically expressed qualitative model. Qualitative versions of such syste...

it development and its ease of use have caused the organizations to equip their processing and operations through it. it has been over a century that performance assessment has been a significant issue for management and actually has been performed in different ways. the current study aims to discover the effect of e-mail on performance assessment. therefore, mixed method has been used. the res...

0031-9007= We show that matter effects change the ! oscillation probability by as much as 70% for certain ranges of energies and path lengths. Consequently, the ! survival probability also undergoes large changes. A proper understanding of survival rates must consider matter effects in P as well as P e. We comment on (a) how these matter effects may be observed and the sign of 31 determined in ...

Model a network as an edge-weighted graph, where the (unknown) weight we of edge e indicates the frequency of observed interactions, and over time t we observe a Poisson(twe) number of interactions across edges e. How should we estimate some given statistic of the underlying network? This leads to wide-ranging and challenging problems, on which this article makes only partial progress.