Nucleon exchange in heavy-ion collisions within stochastic mean-field approach

Nucleon exchange mechanism is investigated in deep-inelastic symmetric heavy-ion collisions in the basis of the Stochastic Mean-Field approach. By extending the previous work to off-central collisions, analytical expression is deduced for diffusion coefficient of nucleon exchange mechanism. Numerical calculations are carried out for ${}^{40}$Ca + ${}^{40}$Ca and ${}^{90}$Zr + ${}^{90}$Zr systems and the results are compared with the phenomenological nucleon exchange model. Also, calculations are compared with the available experimental results of deep-inelastic collisions between calcium nuclei.Comment: 8 pages, 7 figure

Revisiting the Tinbergen Rule: use the macroprudential tools to maintain financial stability.

Capital flows to emerging market economies, which have intensified recently due to better growth prospects, interest rate differentials, and better risk perceptions, have the potential to destabilise financial systems in these countries which are typically neither diversified nor deep enough to absorb such flows. While tools to manage large capital flows are well known, the appropriate policy mix depends on country-specific circumstances. Fiscal policy, monetary policy, exchange rate policy, foreign exchange market intervention, macroprudential tools, and capital controls could be used to cope with the volatility of capital flows, but each of them entails some tradeoff. The challenge faced by central banks is to establish a framework that combines both price and financial stability as primary objectives and identify policy instruments to target both, even at times they seem to conflict with each other. In today’s challenging financial environment, public authorities in Turkey have underscored four basic principles upon which the fiscal, monetary and regulatory policies would be built to maintain financial stability. These are (1) use of more equity, less leverage; (2) extending the duration of borrowing; (3) strengthening the foreign exchange position and use of local currency in borrowing; and (4) better management of foreign currency risk. This approach aims to use current global financial environment as an opportunity to strengthen the country’s financial position and to support deepening of its financial system without jeopardising its health and stability.

Global analysis of solar neutrinos (assumed to be Majorana particles) together with the new KamLAND data

Assuming neutrinos are Majorana particles having non-zero transition magnetic moments, a global analysis of solar neutrino data, together with the new KamLAND data, is presented in the resonant spin flavor precession (RSFP) framework. The allowed regions from solar data combined with new KamLAND data are examined at 0.95 confidence level (CL). The electron antineutrino flux from the Sun is calculated, and via the results obtained several limits are set for muB.Comment: 13 pages, 6 figure

On the measurement and impact of fiscal decentralization

The typical post-Bretton Woods era development approach that emphasized central government-led development efforts has changed dramatically, and local governments have clearly emerged as players in development policy. The thinking about what is important to achieve in development objectives is changing as fiscal decentralization reforms are being pursued by many countries around the world. In this context, a number of studies have attempted to quantify the impact of decentralization by relating some measure of it to economic outcomes of fiscal stability, economic growth, and public sector size. But decentralization is surprisingly difficult to measure. Nearly all cases examining the relationship between decentralization and macroeconomic performance have relied on the Government Finance Statistics (GFS) of the International Monetary Fund. However, despite its merits, GFS falls short in providing a full picture of fiscal decentralization. For some countries, however, there is data that more accurately captures fiscal responsibilities among different types of governments.Decentralization,Banks&Banking Reform,Municipal Financial Management,Public&Municipal Finance,Public Sector Economics&Finance,National Governance,Public Sector Economics&Finance,Banks&Banking Reform,Municipal Financial Management,Urban Economics

Quantal description of nucleon exchange in stochastic mean-field approach

Nucleon exchange mechanism is investigated in central collisions of symmetric heavy-ions in the basis of the stochastic mean-field approach. Quantal diffusion coefficients for nucleon exchange are calculated by including non-Markovian effects and shell structure. Variances of fragment mass distributions are calculated in central collisions of ${}^{40}$Ca + ${}^{40}$Ca, ${}^{48}$Ca + ${}^{48}$Ca and ${}^{56}$Ni + ${}^{56}$Ni systems

Anticipating Information Needs Based on Check-in Activity

In this work we address the development of a smart personal assistant that is capable of anticipating a user's information needs based on a novel type of context: the person's activity inferred from her check-in records on a location-based social network. Our main contribution is a method that translates a check-in activity into an information need, which is in turn addressed with an appropriate information card. This task is challenging because of the large number of possible activities and related information needs, which need to be addressed in a mobile dashboard that is limited in size. Our approach considers each possible activity that might follow after the last (and already finished) activity, and selects the top information cards such that they maximize the likelihood of satisfying the user's information needs for all possible future scenarios. The proposed models also incorporate knowledge about the temporal dynamics of information needs. Using a combination of historical check-in data and manual assessments collected via crowdsourcing, we show experimentally the effectiveness of our approach.Comment: Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM '17), 201

A Cyclical Model of Exchange Rate Volatility

In this paper, we investigate the long run dynamics of the intraday range of the GBP/USD, JPY/USD and CHF/USD exchange rates. We use a non-parametric filter to extract the low frequency component of the intraday range, and model the cyclical deviation of the range from the long run trend as a stationary autoregressive process. We find that the long run trend is time-varying but highly persistent, while the cyclical component is strongly mean reverting. This has important implications for modelling and forecasting volatility over both short and long horizons. As an illustration, we use the cyclical volatility model to generate out-of-sample forecasts of exchange rate volatility for horizons of up to one year under the assumption that the long run trend is fully persistent. As a benchmark, we compare the forecasts of the cyclical volatility model with those of the two-factor intraday range-based EGARCH model of Brandt and Jones (2006). Not only is the cyclical volatility model significantly easier to estimate than the EGARCH model, but it also offers a substantial improvement in out-of-sample forecast performance.Conditional volatility, Intraday range, Hodrick-Prescott filter