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This article presents an overview of the historicaldevelopment and the current status of counseling inTurkey. While reviewing the historical background ofcounseling in this country, the crucial steps takenduring each of five periods are documented and pointedout. Finally, some anticipated future developmentsand recommendations to improve the present situationin this field are discussed. 相似文献
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While there is a growing literature focused on doctoral preparation for teaching about science teaching, rarely have recommendations extended to preparation for teaching science content to teachers. We three doctoral students employ self-study as a research methodology to investigate our developing pedagogical content knowledge for teaching science to teachers during a mentored internship in an elementary teacher professional development program. With our mentor, we examine critical incidents in the experience that supported new insights about teaching teachers and about ways in which beginning teacher educators need to develop their existing pedagogical content knowledge for teaching science to students in order to teach science effectively to teachers. We emphasize ways in which doctoral internships can support this learning and how our respective cultures shaped our interactions with and perceptions of teachers as learners. 相似文献
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The present study examined the concurrent contributions of parent–child and teacher–child relationship quality to Turkish children’s antisocial behaviour, with a specific focus on the moderating role of teacher–child relationships (closeness and conflict) on parent–child relationships when predicting antisocial behaviour. Participants were 94 children (56 boys) with mean age of 7.05 years (SD = .88) enrolled in 24 classrooms from five elementary schools in a suburban school district in Turkey. Mothers reported on their relationship with children and teachers reported on their relationships with children as well as children’s antisocial behaviour. SAS PROC MIXED was used to test hierarchical regression models of children nested within classrooms. Results showed that teacher–child conflict moderated the association between parent–child conflict and children’s antisocial behaviour. Such that, higher parent–child conflict was related to higher levels of antisocial behaviour at the context of higher levels of teacher–child conflict. In addition, teacher–child closeness also moderated the association between parent–child conflict and children’s antisocial behaviour. Such that when teacher–child closeness was at average or high levels, lower levels of parent–child conflict was related to lower levels of antisocial behaviour. Teacher–child conflict was positively associated with children’s antisocial behaviour. Limitations and future directions of the current study are discussed. 相似文献
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Suleyman Demir Nergiz Zorbozan Elif Basak 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2016,26(1):77-81
Introduction
We aimed to determine the number of repeated cholesterol (RC) tests and the ratio of unnecessary-repeated cholesterol (URC) tests among patients admitted to Pamukkale University Hospital (Denizli, Turkey) and provide solutions to avoid URC testing.Materials and methods
Total cholesterol (T-cholesterol) tests (N = 86,817) between June 2014 and May 2015 were evaluated. The tests performed more than once per patient were determined as RC test (N = 28,811). RC test with an interval shorter than 4 weeks were determined as URC test (N = 3968) according to the shortest retest interval stated in ACC/AHA blood cholesterol guideline. RC testing included internal medicine, surgery and paediatric outpatients and inpatients. Reference change value (RCV) of total cholesterol was calculated.Results
The 33.1% of the T-cholesterol tests were RC tests (N = 28,811), 13.7% of them were URC tests (N = 3968). Our RCV value was 25%. The percentage change between consecutive tests was less than RCV in 86.1% (N = 3418) of URC tests. URC tests were performed more frequently in patients with desirable total cholesterol value (P < 0.001).Conclusion
There is a significant part of repeated T-cholesterol tests requested in our hospital. URC test requests can be evaluated by laboratories and the obtained data should be shared with clinicians. Laboratories can calculate RCV for the tests they performed and report this value with the test result. To prevent from URC tests, a warning plug-in can be added to hospital information software in accordance with guidelines to prevent from URC test requests.Key words: unnecessary repeated cholesterol test, cholesterol retest interval, reference change value, laboratory costs, preanalytical phase, test requesting 相似文献5.
The ongoing changes, updates, and upgrades of the Smart Grid infrastructure open up new cybersecurity challenges whose successful and satisfactory handling is a vital necessity for a viable future of these initiatives. The characteristic of the Smart Grid that leads to physical damage and cascading power failures amplifies the severity of security breaches. A set of recent successful Distributed Denial-of-Service (DDoS) attacks on the Internet, facilitated by the proliferation of the Internet-of-Things (IoT) powered botnets, shows that the Smart Grid may become the target and likely victim of such an attack, potentially leaving catastrophic outage of power service to millions of people. In this paper, under a hierarchical data collection infrastructure we propose a general and scalable mitigation approach, called Minimally Invasive Attack Mitigation via Detection Isolation and Localization (MIAMI-DIL), based on an online and nonparametric anomaly detection algorithm which is scalable and capable of timely detection. We provide a proof-of-concept by means of simulations to show the efficacy and scalability of the proposed approach. 相似文献
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Online display advertising is a multi-billion dollar industry where advertisers promote their products to users by having publishers display their advertisements on popular Web pages. An important problem in online advertising is how to forecast the number of user visits for a Web page during a particular period of time. Prior research addressed the problem by using traditional time-series forecasting techniques on historical data of user visits; (e.g., via a single regression model built for forecasting based on historical data for all Web pages) and did not fully explore the fact that different types of Web pages and different time stamps have different patterns of user visits. In this paper, we propose a series of probabilistic latent class models to automatically learn the underlying user visit patterns among multiple Web pages and multiple time stamps. The last (and the most effective) proposed model identifies latent groups/classes of (i) Web pages and (ii) time stamps with similar user visit patterns, and learns a specialized forecast model for each latent Web page and time stamp class. Compared with a single regression model as well as several other baselines, the proposed latent class model approach has the capability of differentiating the importance of different types of information across different classes of Web pages and time stamps, and therefore has much better modeling flexibility. An extensive set of experiments along with detailed analysis carried out on real-world data from Yahoo! demonstrates the advantage of the proposed latent class models in forecasting online user visits in online display advertising. 相似文献
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Multilingual information retrieval is generally understood to mean the retrieval of relevant information in multiple target
languages in response to a user query in a single source language. In a multilingual federated search environment, different
information sources contain documents in different languages. A general search strategy in multilingual federated search environments
is to translate the user query to each language of the information sources and run a monolingual search in each information
source. It is then necessary to obtain a single ranked document list by merging the individual ranked lists from the information
sources that are in different languages. This is known as the results merging problem for multilingual information retrieval.
Previous research has shown that the simple approach of normalizing source-specific document scores is not effective. On the
other side, a more effective merging method was proposed to download and translate all retrieved documents into the source
language and generate the final ranked list by running a monolingual search in the search client. The latter method is more
effective but is associated with a large amount of online communication and computation costs. This paper proposes an effective
and efficient approach for the results merging task of multilingual ranked lists. Particularly, it downloads only a small
number of documents from the individual ranked lists of each user query to calculate comparable document scores by utilizing
both the query-based translation method and the document-based translation method. Then, query-specific and source-specific
transformation models can be trained for individual ranked lists by using the information of these downloaded documents. These
transformation models are used to estimate comparable document scores for all retrieved documents and thus the documents can
be sorted into a final ranked list. This merging approach is efficient as only a subset of the retrieved documents are downloaded
and translated online. Furthermore, an extensive set of experiments on the Cross-Language Evaluation Forum (CLEF) () data has demonstrated the effectiveness of the query-specific and source-specific results merging algorithm against other
alternatives. The new research in this paper proposes different variants of the query-specific and source-specific results
merging algorithm with different transformation models. This paper also provides thorough experimental results as well as
detailed analysis. All of the work substantially extends the preliminary research in (Si and Callan, in: Peters (ed.) Results
of the cross-language evaluation forum-CLEF 2005, 2005).
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| Hao YuanEmail: |
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