Altun Bey'in kanlı düğünü

Nezihe Hazm'ın İkdam'da tefrika edilen Altun Beyin Kanlı Düğünü adlı roman

Estimation of water balance components in Mazovian Geographical Obserwatory of Warsaw University at Murzynowo

The paper deals with an assessment of hydrometeorological elements like precipitation and evaporation measured and calculated in Mazovian Geographical Obserwatory at Murzynowo near Płock. Estimation of real precipitation and structure of evapotranspiration were examined based on observations carried out for 10 years. The effect of local variations of these parametres was pointed out. A program of further research to be carried out in the field of hydroclimatology was outlined

Prediction of k-records from a general class of distributions under balanced type loss functions

Absolute value error loss, Balanced loss function, Bayes prediction, Conditional median prediction, Maximum likelihood prediction, LINEX loss, Record values,

Limit theorems for the spacings of weak records

Let W(1), W(2), . . . be weak record values obtained from a sample of independent variables with common discrete distribution. In the present paper, we derive weak and strong limit theorems for the spacings W(n + m) - W(n), m a parts per thousand yen 1, n -> a

An artificial intelligence approach for modeling molecular self-assembly : agent-based simulations of rigid molecules

Agent-based simulations are rule-based models traditionally used for the simulations of complex systems. In this paper, an algorithm based on the concept of agent-based simulations is developed to predict the lowest energy packing of a set of identical rigid molecules. The agents are identified with rigid portions of the system under investigation, and they evolve following a set of rules designed to drive the system toward the lowest energy minimum. The algorithm is compared with a conventional Metropolis Monte Carlo algorithm, and it is applied on a large set of representative models of molecules. For all the systems studied, the agent-based method consistently finds a significantly lower energy minima than the Monte Carlo algorithm because the system evolution includes elements of adaptation (new configurations induce new types of moves) and learning (past successful choices are repeated)