نتایج جستجو برای: mubarak regime
تعداد نتایج: 74157 فیلتر نتایج به سال:
introduction diabetes is one of the chronic diseases. it is not curable but it can be controlled. the study aimed to determine the effect of family centered empowerment model on the treatment regime of school age children. materials and methods a clinical trial study was carried out on the school age diabetes children and their families. considering ethical matter a total of 50 diabetics patien...
The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...
Unemployment is one of the most important challenges of Iran’s economy which affects on society and economic performance. The purpose of this paper is examining the effect of exchange rate gap (difference between official and parallel market rates) on unemployment rate in Iran during 1974-2012 based on Markov-Switching model. The empirical results indicate that, in high unemployment regime, exc...
in this paper, nonlinear adjustments and price transmission mechanism between the two levels of wholesale and retail for the egg market has been examined under the threshold vector error correction model (tvecm) framework using hansen and seo (2002)’s two-regimes). the unit root test showed that both wholesale and retail egg price series were integrated of order one . the johansen co-integratio...
the present paper surveys the most important poetries' depiction manifestations in syrian poet works - omar abu risha – and the analysis of its effect on arabic ode structure. these images are of most important tools which a poet apply them to express his thoughts and opinions such as muslim nations' expectations especially syrian people. the most important and common images are: repe...
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We propose a regime aware learning algorithm to learn a sequence of Bayesian networks (BNs) that model a system that undergoes regime changes. The last BN in the sequence represents the system’s current regime, and should be used for BN inference. To explore the feasibility of the algorithm, we create baseline tests against learning a singe BN, and show that our proposed algorithm outperforms t...
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