Forest typology of broadleaf forests from Sierra Maestra, Eastern Cuba

A phytosociological study of the forests from Sierra Maestra is conducted, following the methodology of the Zurich- Montpelier School. They are transformed into a forest typology using the standards of the Institute of Agro-Forestry Research. In general, 35 types and/or subtypes are presented. From this group, the most abundant ones belong to semi-deciduous microphyll forest, followed by those from mangroves and mountain rainforest, respectively. Silvicultural treatments are needed; among them, the protection forests are those found above 800 m asl and mangroves. 

The effectiveness of corporate Web in small and médiumsized business: an analysis of Web Usability

Internet and the Web have changed the way that companies communicate with their publics, improving relations between them. Also providing substantial benefits for organizations. This has led to small and medium enterprises (SMEs) to develop corporate sites to establish relationships with their audiences. This paper, applying the methodology of content analysis, analyzes the main factors and tools that make the Websites usable and intuitive sites that promote better relations between SMEs and their audiences. Also, it has developed an index to measure the effectiveness of Webs from the perspective of usability. The results indicate that the Websites have, in general, appropriate levels of usability.

Assessment of the EEE-4 oral test: a discourse analysis based on complex networks.

With the development of information technology, the theory and methodology of complex network has been introduced to the language research, which transforms the system of language in a complex networks composed of nodes and edges for the quantitative analysis about the language structure. The development of dependency grammar provides theoretical support for the construction of a treebank corpus, making possible a statistic analysis of complex networks. This paper introduces the theory and methodology of the complex network and builds dependency syntactic networks based on the treebank of speeches from the EEE-4 oral test. According to the analysis of the overall characteristics of the networks, including the number of edges, the number of the nodes, the average degree, the average path length, the network centrality and the degree distribution, it aims to find in the networks potential difference and similarity between various grades of speaking performance. Through clustering analysis, this research intends to prove the network parameters’ discriminating feature and provide potential reference for scoring speaking performance.