Gravürlerde III. Ahmed Çeşmesi (Bab-ı Hümayun Çeşmesi)

Taha Toros Arşivi, Dosya No: 104-Çeşmelerİstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033

Computer aided localization of neurological diseases

Computers in medicine has brought new dimensions and better understanding of uncertainties in the field of medical sciences in the last decade. This thesis is focused upon the localization of neurological lesions in the human nervous system. It relates clinical neurological test outcomes to pathways of function or malfunction. Certain methods are proposed-empirical. stochastic. Deterministic-to estimate the spatial distributions of lesion probabilities. First. a Bayesian model is presented to estimate the posterior probability of lesion from a priori information, based on the test outcomes. Due to unavailable data alternative methods and models are presented: Regression Analysis. Monte Carlo simulation, and finally a new model known as Logistic Sigmoid Nonlinearity is proposed for probability estimation. This dissertation analyzes each of these models and alternative methodologies in detail

Dynamic bidding strategies in search-based advertising

Cataloged from PDF version of article.Search-based advertising allows the advertisers to run special campaigns targeted to different groups of potential consumers at low costs. Google, Yahoo and Microsoft advertising programs allow the advertisers to bid for an ad position on the result page of a user's query when the user searches for a keyword that the advertiser relates to its products or services. The expected revenue generated by the ad depends on the ad position, and the ad positions of the advertisers are concurrently determined after an instantaneous auction based on the bids of the advertisers. The advertisers are charged only when their ads are clicked by the users. To avoid excessive ad expenditures due to sudden surges in the keyword-search activities, each advertiser reserves a fixed finite daily budget, and the ads are not shown in the remainder of the day when the budget is depleted. Arrival times of keyword-search instances, ad positions, ad selections, and sales generated by the ads are random. Therefore, an advertiser faces a dynamic stochastic total net revenue optimization problem subject to a strict budget constraint. Here we formulate and solve this problem using dynamic programming. We show that there is always an optimal dynamic bidding policy. We describe an iterative numerical approximation algorithm that uniformly converges to the optimal solution at an exponential rate of the number of iterations. We illustrate the algorithm on numerical examples. Because dynamic programing calculations of the optimal bidding policies are computationally demanding, we also propose both static and dynamic alternative bidding policies. We numerically compare the performances of optimal and alternative bidding policies by systematically changing each input parameter. The relative percentage total net revenue losses of the alternative bidding policies increases with the budget loading, but were never more than 3.5 % of maximum expected total net revenue. The best alternative to the optimal bidding policy turned out to be a static greedy bidding policy. Finally, statistical estimation of the model parameters is visited

Analytic solution for the nucleolus of a three-player cooperative game

The nucleolus solution for cooperative games in characteristic function form is usually computed numerically by solving a sequence of linear programing (LP) problems, or by solving a single, but very large-scale, LP problem. This article proposes an algebraic method to compute the nucleolus solution analytically (i.e., in closed-form) for a three-player cooperative game in characteristic function form. We first consider cooperative games with empty core and derive a formula to compute the nucleolus solution. Next, we examine cooperative games with nonempty core and calculate the nucleolus solution analytically for five possible cases arising from the relationship among the value functions of different coalitions

How to create an experimental diabetes mellitus model?

Diabetes is a metabolic disorder characterized by chronic hyperglycemia. Early treatment is very important in terms of preventing diabetes-related late complications with high treatment costs and increasing the patient’s quality of life. In addition to investigating the pathophysiology of the disease studied, animal experiments pave the way for new approaches in treatments. Although there are many methods that can be used when creating a diabetes model, induction of diabetes with alloxan and streptozotocin are the most preferred ones. The aim of this article is to review the available information on diabetes-related methods, common problems and solutions, with known mechanisms of action, dose and time-determined methods

Examining the Relationship between Instructional Leadership and Organizational Health

The aim of this study was to examine the relationship between school administrators' instructional leadership behaviours, and organizational health of schools. The participants were 538 teachers working in elementary, middle and high schools located in the Umraniye district of Istanbul. The data was gathered through the "School Principals' Instructional Leadership Behaviours Questionnaire" and the "Organizational Health Inventory". In data analysis, the arithmetic mean, Pearson Product-Moment Correlation Coefficient, and Multilinear Regression Analysis were used. The results showed that the school principals performed the instructional leadership behaviours of determining and sharing the objectives of the school at the highest level. Among the organizational health dimensions of the schools, initiating structure was perceived at the highest level, while resource support and academic emphasis were perceived at lower levels compared to other dimensions. In the study, positive and significant correlations were found between the sub-dimensions of instructional leadership behaviours and those of organizational health of schools. The sub-dimensions of instructional leadership together explained 49% of the variance in organizational health. On the other hand, only determining and sharing the objectives of the school and forming a regular instructional-learning environment and positive school climate among the instructional leadership behaviours were positive and significant predictors of organizational health of schools