Family literacy activities in the homes of successful young readers

This paper presents an account of the literacy activities engaged in by the parents of 29 children around the time that the children were about to start school at Key Stage 1. Fifteen of the children were reading fluently before they began school and the remaining fourteen were matched for age, sex, receptive vocabulary scores, preschool group attended and socio-economic family status, but not reading fluently. In order to ascertain that the fluent readers were not simply coming from homes where literacy activities were more in evidence, parents were asked to report on their own literacy activities. The data obtained indicated that there were no systematic differences in the activities of the two sets of parents. They also showed that there was a considerable amount of literacy activity evidence in the homes. It is argues that, whilst the home environment is highly instrumental in nurturing literacy development, it is not enough to account for precocious reading ability.

Towards developing a customer relationship management (CRM) strategy for supporting pre-implementation activities in business

Effectively preparing and planning for Customer Relationship Management (CRM) strategy is critical to CRM implementation success. A lack of a common and systematic way to implement CRM means that focus must be placed on the pre-implementation stage to ensure chance of success. Although existing CRM implementation approaches evidence the need to concentrate mostly on the pre-implementation stage, they fail to address some key issues, which raises the need for a generic framework that address CRM strategy analysis. This paper proposes a framework to support effective CRM pre-implementation strategy development.

Variation in root-associated phosphatase activities in wheat contributes to the utilization of organic P substrates in vitro, but does not explain differences in the P-nutrition of plants when grown in soils

To understand whether genotypic variation in root-associated phosphatase activities in wheat impacts on its ability to acquire phosphorus (P), various phosphatase activities of roots were measured in relation to the utilization of organic P substrates in agar, and the P-nutrition of plants was investigated in a range of soils. Root-associated phosphatase activities of plants grown in hydroponics were measured against different organic P substrates. Representative genotypes were then grown in both agar culture and in soils with differing organic P contents and plant biomass and P uptake were determined. Differences in the activities of both root-associated and exuded phosphodiesterase and phosphomonoesterase were observed, and were related to the P content of plants supplied with either ribonucleic acid or glucose 6-phosphate, respectively, as the sole form of P. When the cereal lines were grown in different soils, however, there was little relationship between any root-associated phosphatase activity and plant P uptake. This indicates that despite differences in phosphatase activities of cereal roots, such variability appears to play no significant role in the P-nutrition of the plant grown in soil, and that any benefit derived from the hydrolysis of soil organic P is common to all genotypes.

TRCM: a methodology for temporal analysis of evolving concepts in Twitter

The Twitter network has been labelled the most commonly used microblogging application around today. With about 500 million estimated registered users as of June, 2012, Twitter has become a credible medium of sentiment/opinion expression. It is also a notable medium for information dissemination; including breaking news on diverse issues since it was launched in 2007. Many organisations, individuals and even government bodies follow activities on the network in order to obtain knowledge on how their audience reacts to tweets that affect them. We can use postings on Twitter (known as tweets) to analyse patterns associated with events by detecting the dynamics of the tweets. A common way of labelling a tweet is by including a number of hashtags that describe its contents. Association Rule Mining can find the likelihood of co-occurrence of hashtags. In this paper, we propose the use of temporal Association Rule Mining to detect rule dynamics, and consequently dynamics of tweets. We coined our methodology Transaction-based Rule Change Mining (TRCM). A number of patterns are identifiable in these rule dynamics including, new rules, emerging rules, unexpected rules and ?dead' rules. Also the linkage between the different types of rule dynamics is investigated experimentally in this paper.

Mid-late Holocene environmental change and human activities in the northern Apennines, Italy

Radiocarbon-dated palaeoecological records from the upland zone of the northern Apennines spanning the Mid-Late Holocene (last 7000 years) have been evaluated using established criteria for detecting anthropogenic impact on the landscape and environment. The integrated palaeoecological records across the study area collectively indicate human interference with natural vegetation succession and landscape modification from at least the Middle Neolithic. These activities resulted in the progressive decline of Abies, Ulmus, Fraxinus and Tilia, and the spread of Fagus, from ∼7000 cal BP, accompanied at various times by evidence for biomass burning, soil erosion, the expansion of shrubland and herbaceous taxa, and the possible cultivation of Olea, Juglans and Castanea. Comparison of these data with the archaeological scheme for the region, and the climate history of the central-western Mediterranean, has revealed that the palaeoecological records broadly support the archaeological evidence, but suggest that several key vegetation changes also coincide with important periods of climate change, especially at ∼7800–5000 cal BP.