Predation is a fundamental interaction between species, yet it is unclear what escape strategies are effective for prey survival. Classical theory proposes that prey should either escape in a direction that conforms to a performance optimum or that is random and therefore unpredictable. Here, we show that larval zebrafish (Danio rerio) instead use a mixed strategy that may be either random or d...

Despite great advances in the analysis of time-varying images, implementing or searching for correct and robust algorithms is still challenging and elusive. This paper examines some of the reasons why the motion solution to a problem is sensitive to small changes in the image data. We will discuss whether these sources of difficulty are inherent, predictable, or avoidable. We will also present ...

The present study aimed at determining whether (1) children were able to interrupt a strategy execution to switch and choose another better strategy, and (2) their ability to switch strategy within-item improved with age. Third, fifth, and seventh graders performed a computational estimation task in which they had to provide the better estimates to two-digit addition problems (e.g., 32 + 54) wh...

Skin cancer has been the most common and represents 50% of all new cancers detected each year. If detected at an early stage, simple and economic treatment can cure it mostly. Accurate skin lesion segmentation is critical in automated early skin cancer detection and diagnosis systems. In this paper, we propose an Evolution Strategies (ES) based segmentation algorithm to identify the lesion area...

An evolution strategy to estimate emission source distributions on a regional scale from atmospheric observations P. O’Brien, D. Corcoran, and D. Lowry Martin Ryan Marine Science Institute, National University of Ireland Galway, Ireland Physics Department, University of Limerick, Ireland Department of Geology, Royal Holloway University of London, UK Received: 20 December 2002 – Accepted: 4 Marc...

This paper studies non-cooperative population games with several individual states and independent Markov process. Each member of each class of the population has (i) its own state (ii) its actions in each state, (iii) an instantaneous reward which depends on its state and the population’s profile, (iv) a time-average (coupled) constraints. We apply this model to battery-dependent power control...

BACKGROUND Several countries or regions within countries have an effective national asthma strategy resulting in a reduction of the large burden of asthma to individuals and society. There has been no systematic appraisal of the extent of national asthma strategies in the world. METHODS The Global Asthma Network (GAN) undertook an email survey of 276 Principal Investigators of GAN centres in ...

today, to increase effectiveness is a strategy for success of organizations and their viability. in health care organization not only service cost- effectiveness is a major problem for productivity and organizational management but also customer-centred is in first priority. because of these reasons, most of health organization trend to patient satisfaction for their viability. if complex proce...

The problem of determining the European-style option price in the incomplete market has been examined within the framework of stochastic optimization. An analytic method based on the discrete dynamic programming equation (Bellman equation) has been developed that gives the general formalism for determining the option price and the optimal trading strategy (optimal control policy) that reduces t...

The problem of determining the European-style option price in the incomplete market has been examined within the framework of stochastic optimization. An analytic method based on the discrete dynamic programming equation (Bellman equation) has been developed that gives the general formalism for determining the option price and the optimal trading strategy (optimal control policy) that reduces t...