Quantum Correlations Between Identical and Unidentical Atoms in a Dissipative Environment

We have studied the dynamics of quantum correlations such as entanglement, Bell-nonlocality and quantum discord between identical as well as unidentical atoms interacting with a single-mode cavity field and subject to cavity decay. The effect of single atom detuning, cavity decay rate and initial preparation of the atoms on the corresponding correlation measures have been investigated. It is found that even under strong dissipation, time evolution can create high quantum discord while entanglement and Bell nonlocality stay zero for an initially separable state. Quantum discord increases while entanglement decreases in a certain time period under dissipation for the initial state that both atoms are in the excited state if the qubits are identical. For some type of initial states, cavity decay is shown to drive the system to a stationary state with high entanglement and quantum discord

The Role of Physical, Human and Social Capital in Regional Financial Development Differences: An Analysis of Turkish Provinces

The Role of Physical, Human and Social Capital in Regional Financial Development Differences: An Analysis of Turkish Provinces Ercan Dulgeroglu , Sibel Bali Eryigit , Kadir Y. Eryigit and Filiz Gaygusuz Abstract With the undeniable importance of the financial markets in the economy, the factors stimulating financial development have started to be researched, particularly in recent times in a more intensive way. Starting from this point, the driving force of this study is both to contribute to international literature in this field and to fill a gap in the literature related to Turkey. The main purpose of this study is to explain the causes of regional financial development differences on the basis of capital accumulation. In order to answer the question ‘What is the effect and degree of importance of physical, human and social capital on the differences in regional financial development?’, in this study some indexes for financial development and each type of capital accumulation will be calculated using kernel principle components analysis and depending on the annual data of 81 provinces covering the period 2005 – 2009. As an index, the capital measurements can be seen in a comprehensive form allowing for more accurate measurement and evaluation of both the capital accumulation and financial development. By using the calculated indexes, then, financial development differences are evaluated with spatial panel data methods developed by Elhorst (2003). In this context, to our knowledge, this study is the first to take into account the effects of each type of capital on financial development in a model simultaneously. Keywords: Financial development, physical capital, human capital, social capital, spatial panel data analysis,

Statistical dependency parsing of Turkish

This paper presents results from the first statistical dependency parser for Turkish. Turkish is a free-constituent order language with complex agglutinative inflectional and derivational morphology and presents interesting challenges for statistical parsing, as in general, dependency relations are between “portions” of words called inflectional groups. We have explored statistical models that use different representational units for parsing. We have used the Turkish Dependency Treebank to train and test our parser but have limited this initial exploration to that subset of the treebank sentences with only left-to-right non-crossing dependency links. Our results indicate that the best accuracy in terms of the dependency relations between inflectional groups is obtained when we use inflectional groups as units in parsing, and when contexts around the dependent are employed

Dependency parsing of Turkish

The suitability of different parsing methods for different languages is an important topic in syntactic parsing. Especially lesser-studied languages, typologically different from the languages for which methods have originally been developed, poses interesting challenges in this respect. This article presents an investigation of data-driven dependency parsing of Turkish, an agglutinative free constituent order language that can be seen as the representative of a wider class of languages of similar type. Our investigations show that morphological structure plays an essential role in finding syntactic relations in such a language. In particular, we show that employing sublexical representations called inflectional groups, rather than word forms, as the basic parsing units improves parsing accuracy. We compare two different parsing methods, one based on a probabilistic model with beam search, the other based on discriminative classifiers and a deterministic parsing strategy, and show that the usefulness of sublexical units holds regardless of parsing method.We examine the impact of morphological and lexical information in detail and show that, properly used, this kind of information can improve parsing accuracy substantially. Applying the techniques presented in this article, we achieve the highest reported accuracy for parsing the Turkish Treebank

The incremental use of morphological information and lexicalization in data-driven dependency parsing

Typological diversity among the natural languages of the world poses interesting challenges for the models and algorithms used in syntactic parsing. In this paper, we apply a data-driven dependency parser to Turkish, a language characterized by rich morphology and flexible constituent order, and study the effect of employing varying amounts of morpholexical information on parsing performance. The investigations show that accuracy can be improved by using representations based on inflectional groups rather than word forms, confirming earlier studies. In addition, lexicalization and the use of rich morphological features are found to have a positive effect. By combining all these techniques, we obtain the highest reported accuracy for parsing the Turkish Treebank

Patterns of childcare arrangements and cognitive development

Objectives. The current study investigated (a) whether identifiable patterns of childcare arrangements from birth to 51 months exist and (b) whether these patterns moderate cognitive development from 18 months to 51 months in relation to maternal stimulation of language and infant difficult temperament controlling for SES and child gender. Methods. Of the 1201 who participated in the Families, Children Childcare Study, 978 were included in the current study. Data were collected when children were 3, 18, 36 and 51 months old regarding their mother-reported childcare arrangements, mother-reported child temperament and objective tests of cognitive and language abilities. Results. Six prevailing patterns of childcare arrangements were identified. Variations were found across these in predicting cognitive development. For all types, cognitive ability at 18 months influenced language ability at 36 months, which in turn influenced cognitive ability at 51 months. Cognitive scores at 18 months were directly and significantly influential on cognitive ability at 51 months only in the ‘maternal to centre-based care’ and ‘multi types’ patterns of childcare. Early and ongoing centre-based care predicted higher language ability at 36 months but its impact was not evident at 51 months. When girls entered centre-based care after they were 3 years old, their cognitive scores were negatively influenced. Low family SES was a risk factor for language ability at 36 months when children were not introduced to any non-parental care before the age of three years. Conclusion. This study helped to understand that the particular childcare pathway from birth to the start of school interacts with family and child factors to contribute to child cognitive outcomes at 51 months. This information should be relevant to families as they make decisions about when to start or stop different types of child care during infancy and preschool years