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921.
Heidi Omdal 《Journal of Educational Change》2018,19(1):103-129
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. 相似文献
922.
923.
Weihua Zhou 《Publishing Research Quarterly》2008,24(1):32-39
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. 相似文献
924.
Andreas Veglis 《Publishing Research Quarterly》2008,24(2):111-123
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. 相似文献
925.
Features for image retrieval: an experimental comparison 总被引:6,自引:0,他引:6
926.
Negation recognition in medical narrative reports 总被引:1,自引:0,他引:1
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.
相似文献
Lior RokachEmail: |
927.
Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the
retrieval of either short or long documents and, thus, a length-based correction needs to be applied for avoiding any length
bias. In Language Modeling for Information Retrieval, smoothing methods are applied to move probability mass from document
terms to unseen words, which is often dependant upon document length. In this article, we perform an in-depth study of this
behavior, characterized by the document length retrieval trends, of three popular smoothing methods across a number of factors,
and its impact on the length of documents retrieved and retrieval performance. First, we theoretically analyze the Jelinek–Mercer,
Dirichlet prior and two-stage smoothing strategies and, then, conduct an empirical analysis. In our analysis we show how Dirichlet
prior smoothing caters for document length more appropriately than Jelinek–Mercer smoothing which leads to its superior retrieval
performance. In a follow up analysis, we posit that length-based priors can be used to offset any bias in the length retrieval
trends stemming from the retrieval formula derived by the smoothing technique. We show that the performance of Jelinek–Mercer
smoothing can be significantly improved by using such a prior, which provides a natural and simple alternative to decouple
the query and document modeling roles of smoothing. With the analysis of retrieval behavior conducted in this article, it
is possible to understand why the Dirichlet Prior smoothing performs better than the Jelinek–Mercer, and why the performance
of the Jelinek–Mercer method is improved by including a length-based prior.
相似文献
Leif AzzopardiEmail: |
928.
Evan Schnittman 《Publishing Research Quarterly》2008,24(2):139-142
Search engine discoverability programs have changed the fundamentals of book marketing by enabling content inside the book
to be used as the source of marketing itself via search results inside books. The internet trifecta of search, browse, buy
is the end game but the complexities of making this work is explored along with an in-depth overview of the potential upside
and difficulties of online content purchase models. 相似文献
929.
Experimentation and Innovation in U.S. Publishing Today: Findings from the Book Industry Study Group
Michael Healy 《Publishing Research Quarterly》2008,24(4):233-239
In February 2008 the Book Industry Study Group (BISG) conducted a survey of U.S. publishers to determine the extent of technology-driven
innovation and experimentation. The survey findings were published alongside a set of 10 case studies in May 2008 as “From
experimentation to innovation in the digital age—case studies from the North American Book Industry 2008”. This article, written
by Michael Healy, Executive Director of the BISG, summarizes the circumstances that led to the survey and shares the key findings. 相似文献
930.
Panagiotis Symeonidis Alexandros Nanopoulos Apostolos N. Papadopoulos Yannis Manolopoulos 《Information Retrieval》2008,11(1):51-75
Collaborative Filtering (CF) Systems have been studied extensively for more than a decade to confront the “information overload”
problem. Nearest-neighbor CF is based either on similarities between users or between items, to form a neighborhood of users
or items, respectively. Recent research has tried to combine the two aforementioned approaches to improve effectiveness. Traditional
clustering approaches (k-means or hierarchical clustering) has been also used to speed up the recommendation process. In this paper, we use biclustering
to disclose this duality between users and items, by grouping them in both dimensions simultaneously. We propose a novel nearest-biclusters
algorithm, which uses a new similarity measure that achieves partial matching of users’ preferences. We apply nearest-biclusters
in combination with two different types of biclustering algorithms—Bimax and xMotif—for constant and coherent biclustering,
respectively. Extensive performance evaluation results in three real-life data sets are provided, which show that the proposed
method improves substantially the performance of the CF process.
相似文献
Yannis ManolopoulosEmail: |