Creating teacher capacity in Early Childhood Education and Care institutions implementing an authoritative adult style

The being together intervention intends to raise teacher capacity in Norwegian Early Childhood Education and Care (ECEC) institutions and promote social and emotional development in preschoolers by implementing an authoritative (warm and predictable) adult style in the institution. An authoritative adult balances between building up high quality interactions with children, while at the same time having a predictable structure with clear norms and social expectations in the learning environment. The purpose of this study was to investigate what helped the ECEC institutions to successfully implement the program principles and core components, and what were the challenges. The staff groups of seven Norwegian ECEC institutions in different municipalities who took part in the innovation were interviewed at the beginning and before the end of the first year of implementation. Data analysis identified five success criteria in the implementation process; strong commitment to the authoritative adult style, strong focus on the implementation process, advanced support systems, highly involved leaders, and a collective orientation. These elements resulted in a shared vision and an academically grounded practice in the ECEC institutions. Staff members without formal professional training and a lack of written documentation in the ECEC institutions should be given more consideration in further improvement of the capacity building.     

Educational Publishing in China: Status Quo,Problems and Counter Measures

In China, educational publishing is devoted to publishing mainly textbooks and teaching materials. For a long time, education publishing has dominated others in China’s publishing industry. However, after entering the new century, especially in the last 2 years, there has been the impact of changes in the College-Entrance Examination, the Invitation to Bid for Compilation and Publication of Textbooks, government procurement and Scientific and Technological Advancement for supplementary books. Therefore, publishing for education has been losing its previous major role and dominance. For making a leap forward and breakthrough in educational publication, we must open up a new train of thought for the development of educational publishing, we need three distinct transformations: first, change in publishing mode from extensive to intensive growth. Second, transformation from variety-scale to market-scale expansion. Third, transformation from being just a provider of content to one providing both content and services.     

Comparison of Alternative Channels in Cross Media Publishing

This paper attempts a direct comparison of the available alternative channels that can be employed in a cross media publishing scheme. More precisely it examines the content, the publishing speed, and the rhythm of the publishing channels. Interesting conclusions are drawn concerning the characteristics of each channel. A new publishing channel is proposed in order to allow newspapers to directly compete with radio and TV channels.     

Negation recognition in medical narrative reports

Substantial medical data, such as discharge summaries and operative reports are stored in electronic textual form. Databases containing free-text clinical narratives reports often need to be retrieved to find relevant information for clinical and research purposes. The context of negation, a negative finding, is of special importance, since many of the most frequently described findings are such. When searching free-text narratives for patients with a certain medical condition, if negation is not taken into account, many of the documents retrieved will be irrelevant. Hence, negation is a major source of poor precision in medical information retrieval systems. Previous research has shown that negated findings may be difficult to identify if the words implying negations (negation signals) are more than a few words away from them. We present a new pattern learning method for automatic identification of negative context in clinical narratives reports. We compare the new algorithm to previous methods proposed for the same task, and show its advantages: accuracy improvement compared to other machine learning methods, and much faster than manual knowledge engineering techniques with matching accuracy. The new algorithm can be applied also to further context identification and information extraction tasks.