This paper presents a methodology for probabilistic hazard assessment for the multihazard seismic and tsunami phenomena [probabilistic seismic and tsunami hazard analysis (PSTHA)]. For this work, a full-rupture event along the Cascadia subduction zone is considered and the methodology is applied to a study area of Seaside, Oregon, which is located on the US Pacific Northwest coast. In this work...

The binding of oxygen by the haemocyanin of the gastropod Lymnaea stagnalis was studied by equilibrium and kinetic methods. The studies were performed under conditions in which the haemocyanin molecule was in the native state. Over the pH range 6.8-7.6, in the presence of 10mM-CaCl2 the haemocyanin bound O2 cooperatively. Over this pH range the haemocyanin molecule displayed a normal Bohr effec...

The experiment was conducted under a controlled environment to study the effects of different temperature regimes (15/10°C,20/15°C, and 25/20°C day/night) and sowing depths (0, 2, 4, and 6 cm) on the seedling emergence and early growth (height gain) of wheat (cv. Marvdasht) and wild barley (Hordeum spontaneum).The cumulative emergence and plant height gain over time were modeled with the use of...

Chapter length: 10495 words, including figure captions. 6 figures. Exercises: Experiments with code above Lecture/slide topics: Lectures 1 and 2:-Basic anatomical and functional structure of the feed-forward visual pathway-HMAX Lecture 3:-Deep belief networks-Scene recognition and gist features Lecture 4:-Saliency maps: top-down, bottom-up and contextually guided models-Use of context for objec...

Abstract The influences of trait diversity (i.e., the niche complementarity effect) and functional composition mass ratio on aboveground biomass (AGB) is a highly debated topic in forest ecology. Therefore, further studies are needed to explore these mechanisms unstudied ecosystems enhance our understanding, provide guidelines for specific management. Here, we hypothesized that would drive AGB ...

Today's high performance deep artificial neural networks (ANNs) rely heavily on parameter optimization, which is sequential in nature and even with a powerful GPU, would have taken weeks to train them up for solving challenging tasks [22]. HMAX [17] has demonstrated that a simple high performing network could be obtained without heavy optimization. In this paper, we had improved on the existing...

Here we modify the HMAX object recognition system of Serre et al. with an end-stopped filter to try and improve the accuracy of the model and to further the parallels in the algorithm to the actual processing of the visual cortex for learning object representations.