RNA molecules interact by forming inter-molecular base pairs that compete with the intramolecular base pairs of their secondary structures. Here we investigate the patterns of neutral mutations in RNAs whose function is the interaction with other RNAs, i.e., of co-folding RNAs. We find that (1) the degree of neutrality is much smaller in interacting RNAs compared to RNAs that just have to cofor...

   This paper aims at providing a new model based on Data Envelopment Analysis (DEA) to prioritize project risks. It is clear that the large amounts of involved capitals, the long term of infrastructure projects’ implementation, and the project management problems in on-time completion of projects indicate the necessity of paying particular attention to this issue and conducting applied researc...

Recently, some authors proposed the use of symmetric weightsfor computing the elements of cross-efficiency matrix. In spite ofthe fact that the proposed method decreases the number of zeroweights, a large number of zero weights may still exist among inputand output symmetric weights. To decrease the number of input andoutput symmetric weights, this paper improves the proposed secondarygoal mode...

This article had two objectives. The first was to further explore the utility of measuring intellectual styles (a general term encompassing such style constructs as cognitive, learning, and thinking styles) in addition to measuring personality. The second was to verify Sternberg’s (1988) claim that the theory of mental self-government is applicable to non-academic settings as well as to academi...

cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is used for evaluation and ranking decision making units (dmus) in data envelopment analysis (dea). unlike most existing dea ranking models which can only rank a subset of dmus, for example non-efficient or extreme efficient dmus, cross efficiency can rank all dmus, even non-extreme ones. however, sinc...

Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is used for evaluation and ranking Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). Unlike most existing DEA ranking models which can only rank a subset of DMUs, for example non-efficient or extreme efficient DMUs, cross efficiency can rank all DMUs, even non-extreme ones. However, sinc...

Recent studies suggest that implementation planning exercises may not be as helpful for long-term, self-initiated goals as for short-term, assigned goals. Two studies used the personal goal paradigm to explore the impact of implementation plans on goal progress over time. Study 1 examined whether administering implementation plans in an autonomy supportive manner would facilitate goal progress ...

Cross efficiency evaluation was developed as an extension of DEA. But the traditional DEA models usually have alternative optimal solutions and, as a result, cross efficiency scores may not be unique. It is recommended that without changing the DEA efficiency scores, the secondary goal should be introduced for optimization of the inputs/outputs weights.  Several reports evaluated the perfo...