The biomass of the medicinal red algae (Rhodophyta) in the intertidal zone of the Chabahar coasts

Monthly sampling of red algae was carried out from April 2005 to March 2006 in Chabahar coasts (southestern of Iran) along Sistan & Baluchistan province coastal waters. We considered monthly periods of maximum tide according to tide tables. Then seaweed growth area in intertidal zones was determind through GPS, GIS and satellite imagery. Monthly sampling was conducted on a number of transects with equal distance and in randomly chosen 50×50cm quadrates. The samples were transfered to Offshore Waters Research Center’s lab and after cleaning and separating, the weight of each species recognized was measuerd according to the present references. The biomass of each species was obtained per area unit and in the total area after determing the average weight of species. During this research, 13 species of medicinal red algae were recognized, and the most important families included: Gelidiaceae, Gracilariaceae, Hypneaceae and Rhodomelaceae. Total biomass in the area of Chabahar Coasts were 865.2 tons and the monthly average was 72.1 tons. The maximum biomass was obtained in February as 149.8 tons (828g/m2) and the minimum biomass was seen in May as 16.3 tons (90.2g/m2 ). The maximum biomass belonged to Gracilaria corticata (%33.1) and the minimum biomass to Hypnea pannosa (%1)

An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud