A Deterministic Polynomial--Time Algorithm for Constructing a Multicast Coding Scheme for Linear Deterministic Relay Networks

We propose a new way to construct a multicast coding scheme for linear deterministic relay networks. Our construction can be regarded as a generalization of the well-known multicast network coding scheme of Jaggi et al. to linear deterministic relay networks and is based on the notion of flow for a unicast session that was introduced by the authors in earlier work. We present randomized and deterministic polynomial--time versions of our algorithm and show that for a network with $g$ destinations, our deterministic algorithm can achieve the capacity in $\left\lceil \log(g+1)\right\rceil$ uses of the network.Comment: 12 pages, 2 figures, submitted to CISS 201

Factorial structure of state - trait depression scales

Bu çalışmada Durumsal ve Sürekli Depresyon Ölçekleri'nin (Spielberger, 2005) Türkçeleştirilerek faktöriyel alt yapısı incelenmesi ve orijinal ölçek bulgularıyla karşılaştırılması hedeflenmiştir. Faktör analizlerden elde edilen bulgular, Durumsal Depresyon Ölçeği'nde, maddelerin depresyonun "varlığına" ve "yokluğuna" işaret edecek şekilde net kümeler oluşturduğunu göstermiştir. Sürekli Depresyon Ölçeği'nde de maddeler benzer bir faktör yapısı sergilemiştir. İki faktörlü analizler ile ortaya çıkan tablonun, Durumsal ve Sürekli Depresyon Ölçekleri'nin orijinal çalışmada (Spielberger, 2005) ortaya çıkanla önemli ölçüde örtüştüğü sonucuna varılmıştır.The major goal of this study was to explore the factor structure of the Turkish translation of the State-Trait Depression Inventory (Spielberger, 2005). Results of the factor analyses indicated two distinct factors consisting of items reflecting the "absence" and "presence" of depression with respect to both state and trait scales of the depression inventory. The factorial structure of the Turkish version was substantially concordant with that of the original State-Trait Depression Inventory

Assessment of the desertification vulnerability of the Cappadocian district (Central Anatolia, Turkey) based on aridity and climate-process system

The present study discusses climate of the Cappadocian district in Turkey on the basis of Thornthwaite’s climate classification and water budget, Erinç’s aridity index and United Nations Convention to Combat Desertification (UNCCD) aridity index, along with the spatial and inter-seasonal variations of precipitation and air temperatures. Vulnerability of the Cappadocia to desertification processes was also investigated with respect to the aridity, lithology dominated by tuffs and climate-process system and present land-use features of the district. The data analysis revealed that coefficients of variation (CV) of the mean and maximum temperatures are the greatest in summer and the smallest in winter. Nevşehir and Kayseri environs are the most continental parts of the Cappadocia with a high inter-annual variability and low temperatures. Cappadocia is characterized with a continental rainfall regime having a maximum precipitation in spring. Variability of summer precipitation totals is greater than that of other seasons, varying from 65.7% to 78%. The CVs of the annual precipitation totals are about 18% at north and about 20% at south. Semi-arid and dry sub-humid or semi-humid climate types prevail over Cappadocia according to Thornthwaite’s moisture and Erinç’s aridity indices. Steppe is the dominant vegetation formation with sparse dry forests. The Cappadocia is vulnerable to the desertification processes due to both natural factors (e.g. degree of aridity, climate-process system, weathering of tuffs, erosion, climate change, etc.) and human-involvement (e.g. land degradation and intensive tourism, etc.). In order to mitigate desertification and to preserve the historical and cultural heritages in Cappadocia, sustainable land-use management and tourism planning applications are urgently needed