Complexity and Endogenous Instability

The global financial crisis proved the critical impact of the gap between individual rationality and group rationality. This gap is not supposed to arise in a Neoclassical world, but it frequently arises in a world as complex as ours. The paper explores how endogenous instability might arise due to such a gap, and what behavioral rules might help to mitigate its impact.fallacy of composition, empathy, n-person prisoner’s dilemma games, n-person zero-sum games, symmetry, the golden rule.

Intensive shrimp Penaeus semisulcatus Dee Haan, culture in the Arabian Gulf during the summer

P. semisulcatus juveniles (average weight 9.7g) from Manifa Lagoon on the Arabian Gulf were randomly stocked in tanks (0.8m3) at three stocking density levels (25, 50 and 75 shrimp/m3) in four replicates. The tanks were put together in a flow-through system and were covered with plastic nets. Water flow rates were 1, 2, and 3 litres/min for densities 25, 50 and 75 shrimp/m3, respectively, Filtered aerated seawater (30± 3 °C) was utilized. Fresh water was mixed with the seawater to keep water salinity down to 39%o. The whole system was shaded to reduce water temperature from the direct sun light. Shrimps were fed during the night for six weeks experimental period. No mortality occurred throughout the experimental period. Growth rates were similar in the three stocking densities, under the experimental conditions. Future studies are needed to determine the maximum sustainable stocking densities

Multichannel image identification and restoration using continuousspatial domain modeling

In this paper, a novel identification technique for multichannel image processing is presented. Using the maximum likelihood estimation (ML) approach, the image is represented as an autoregressive (AR) model and blur is described as a continuous spatial domain model. Such a formulation overcomes some major limitations encountered in other ML methods. Moreover, cross-spectral and spatial components are incorporated in the multichannel modeling. It is shown that by incorporating those components, the overall performance is improved significantly. Also, experimental results show that blur extent can be optimally identified from noisy color images that are degraded by uniform linear motion or out-of-focus blur

COLOR IMAGE IDENTIFICATION AND RESTORATION

Image identification involves estimating the properties of an imperfect imaging system from an observed image prior to the restoration process. In this paper we present a novel identification technique for multichannel image processing using the maximum likelihood estimation (ML) approach. The image is represented as an autoregressive (AR) model and blur is described as a continuous spatial domain model, to overcome some major limitations encountered in other ML methods. Cross-spectral and spatial components, which are inherent to multichannel imaging systems, are also incorporated in the model to improve the overall performance. Also, it is shown that blur extent can be optimally identified from noisy color images that are degraded by uniform linear motion or out-of-focus blurs. The novelty of this approach in identifying the blur of multichannel images is a major contribution in producing visually acceptable results which is significant for higher processing levels

Strategy Planning for Higher Education Project Horizon

Objectives n Present an overview of the methodology followed n Present the findings of each team, and how they will confirm/ confront these issues (the data to be used) n Each team will discuss the key problems they faced and highlight what worked well for them n The project management office will present the next steps (activities for the coming two weeks

Strategy Planning for Higher Education Project Horizon

Objectives n Present an overview of the methodology followed n Present the findings of each team, and how they will confirm/ confront these issues (the data to be used) n Each team will discuss the key problems they faced and highlight what worked well for them n The project management office will present the next steps (activities for the coming two weeks

First biological measurements of deep-sea corals from the Red Sea

© The Author(s), 2013. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Scientific Reports 3 (2013): 2802, doi:10.1038/srep02802.It is usually assumed that metabolic constraints restrict deep-sea corals to cold-water habitats, with ‘deep-sea’ and ‘cold-water’ corals often used as synonymous. Here we report on the first measurements of biological characters of deep-sea corals from the central Red Sea, where they occur at temperatures exceeding 20°C in highly oligotrophic and oxygen-limited waters. Low respiration rates, low calcification rates, and minimized tissue cover indicate that a reduced metabolism is one of the key adaptations to prevailing environmental conditions. We investigated four sites and encountered six species of which at least two appear to be undescribed. One species is previously reported from the Red Sea but occurs in deep cold waters outside the Red Sea raising interesting questions about presumed environmental constraints for other deep-sea corals. Our findings suggest that the present understanding of deep-sea coral persistence and resilience needs to be revisited