CAPITAL ACCOUNT LIBERALIZATION AND EXCHANGE RATE REGIME CHOICE, WHAT SCOPE FOR FLEXIBILITY IN TUNISIA?

Capital account liberalization and exchange rate regime choice, what scope for flexibility in Tunisia? This study evaluates within a game-theoretic framework the exchange rate regime from a welfare perspective. In a tradable-nontradable goods model framework, Tunisia’s exchange rate regime choice is cast in terms of strategic interactions between the monetary authority and domestic enterprises. The monetary authority is assumed to choose an optimal exchange rate regime according to a welfare-related criterion by minimising a loss function defined in terms of external competitiveness and domestic inflation. Simulations outcomes reveal that capital account liberalization in the Tunisian economic context is compatible with a flexible exchange rate regime.http://deepblue.lib.umich.edu/bitstream/2027.42/40201/3/wp815.pd

CAPITAL ACCOUNT LIBERALIZATION AND EXCHANGE RATE REGIME CHOICE, WHAT SCOPE FOR FLEXIBILITY IN TUNISIA?

Capital account liberalization and exchange rate regime choice, what scope for flexibility in Tunisia? This study evaluates within a game-theoretic framework the exchange rate regime from a welfare perspective. In a tradable-nontradable goods model framework, Tunisia’s exchange rate regime choice is cast in terms of strategic interactions between the monetary authority and domestic enterprises. The monetary authority is assumed to choose an optimal exchange rate regime according to a welfare-related criterion by minimising a loss function defined in terms of external competitiveness and domestic inflation. Simulations outcomes reveal that capital account liberalization in the Tunisian economic context is compatible with a flexible exchange rate regime.Exchange rate regime, Liberalization, Convertibility, Capital Account, Welfare, Tunisia.

Modified gravity a la Galileon: Late time cosmic acceleration and observational constraints

In this paper we examine the cosmological consequences of fourth order Galileon gravity. We carry out detailed investigations of the underlying dynamics and demonstrate the stability of one de Sitter phase. The stable de Sitter phase contains a Galileon field $\pi$ which is an increasing function of time (\dot{\pi}>0). Using the required suppression of the fifth force, supernovae, BAO and CMB data, we constrain parameters of the model. We find that the $\pi$ matter coupling parameter $\beta$ is constrained to small numerical values such that $\beta$<0.02. We also show that the parameters of the third and fourth order in the action (c_3,c_4) are not independent and with reasonable assumptions, we obtain constraints on them. We investigate the growth history of the model and find that the sub-horizon approximation is not allowed for this model. We demonstrate strong scale dependence of linear perturbations in the fourth order Galileon gravity.Comment: 9 pages, 10 figures, references added, final version to appear in PR

Prospects of inflation with perturbed throat geometry

We study brane inflation in a warped deformed conifold background that includes general possible corrections to the throat geometry sourced by coupling to the bulk of a compact Calabi-Yau space. We focus specifically, on the perturbation by chiral operator of dimension 3/2 in the CFT. We find that the effective potential in this case can give rise to required number of e-foldings and the spectral index $n_S$ consistent with observation. The tensor to scalar ratio of perturbations is generally very low in this scenario. The COBE normalization, however, poses certain difficulties which can be circumvented provided model parameters are properly fine tuned. We find the numerical values of parameters which can give rise to enough inflation, observationally consistent values of density perturbations, scalar to tensor ratio of perturbations and the spectral index $n_S$.Comment: 7 pages and nine figures; typos corrected, minor comments and clarifications added, revised version to appear in PL

Background cosmological dynamics in f(R)f(R) gravity and observational constraints

In this paper, we carry out a study of viable cosmological models in $f(R)$-gravity at the background level. We use observable parameters like $\Omega$ and $\gamma$ to form autonomous system of equations and show that the models under consideration exhibit two different regimes in their time evolution, namely, a phantom phase followed by a quintessence like behavior. We employ statefinder parameters to emphasize a characteristic discriminative signature of these models.Comment: 6 pages, Latex style, 9 eps figures, replaced versions with new references added, Submitted to Phys.Rev.

Üç acı hatıra

Taha Toros Arşivi, Dosya No: 118-Ali Sami Boyar. Not: Gazetenin "Sanat Hatıraları" köşesinde yayımlanmıştır.Unutma İstanbul projesi İstanbul Kalkınma Ajansı'nın 2016 yılı "Yenilikçi ve Yaratıcı İstanbul Mali Destek Programı" kapsamında desteklenmiştir. Proje No: TR10/16/YNY/010

İstanbul planı

Taha Toros Arşivi, Dosya No: 118-Ali Sami BoyarUnutma İstanbul projesi İstanbul Kalkınma Ajansı'nın 2016 yılı "Yenilikçi ve Yaratıcı İstanbul Mali Destek Programı" kapsamında desteklenmiştir. Proje No: TR10/16/YNY/010

Aya Sophia and its history

Taha Toros Arşivi, Dosya No: 102-Camilerİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Galatasaraylılık

Taha Toros Arşivi, Dosya Adı: Galatasaray. Not: Makale ekli dokümanın 2. sayfasında yer almaktadır.İstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

COVID-19 detection based on deep learning and artificial bee colony

COVID-19 has become a great challenge to the whole world, as it has infected and killed millions of people and affected the different fields of our life due to its rapid ability to spread. In this paper, the COVID-19 patient's recognition technique utilized the deep learning, and An artificial bee colony is intended to be applied. Deep learning was implemented to provides the features from X-ray images, while the artificial bee colony algorithm used to refine these features by selecting the best features. The multilayer perceptron classifier has been utilized in the classification stage. The experiments carried out on the standard dataset with/without different other daises such as MERS, SARS, and ARDS as well as COVID-19(+) referred that the proposed work provided high recognition rates with high reduction in the number of deep learning features