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Future Directions and Advanced Technologies
The widespread usage of XML in the last few years has resulted in the development of a number of XML query languages like XSLT or the later developed XQuery language. Today, there are many products like databases in the area of XML processing that support either XSLT or XQuery, but not both of them. This may prevent users from employing their favourite XML query language. In this chapter, the authors show that both languages have comparable expression power and present a scheme for translating XQuery to XSLT and vice versa. This translation scheme enables a user to employ either XSLT or XQuery for each product which supports one of these languages. They also summarize in this chapter both current and future trends and research issues and also consider those that might emerge in the common area of XSLT and XQuery and which are particular to XSLT.
XML (eXtensible Markup Language) transformations and queries are crucial operations for interpreting XML databases. XSLT (eXtensible Stylesheet Language Transformations) is a prominent XML technology for these operations, but XQuery (XML Query Language) can query a broad spectrum of XML information sources, including both databases and documents. In this paper, we present our approach to translate XSLT to XQuery. We illustrate our approach as a set of rules or templates which translates an XSLT document into XQuery. We also discuss grouping operations for both XSLT and XQuery. Finally, we present the performance of XSLT versus equivalently transformed XQuery documents for varying sizes of documents and for different rules.
Lecture Notes in Computer Science, 2005
ACM SIGMOD Record, 2000
XML is becoming the most relevant new standard for data representation and exchange on the WWW. Novel languages for extracting and restructuring the XML content have been proposed, some in the tradition of database query languages (i.e. SQL, OQL), others more closely inspired by XML. No standard for XML query language has yet been decided, but the discussion is ongoing within the World Wide Web Consortium and within many academic institutions and Internet-related major companies. We present a comparison of five, representative query languages for XML, highlighting their common features and differences.
Academia Letters, 2021
Safety, 2024
Integrated disaster risk reduction in schools represents a key component of safety strategies within the educational sector of every country. The aim of this study is to comprehensively explore the impact of various demographic and socio-economic factors on the perceptions of students and teachers regarding disaster risk reduction and safety in schools. This study is distinguished by its extensive empirical approach, employing a multistage random sampling method to conduct 850 face-to-face interviews (650 with students and 200 with teachers) throughout 2023 in 10 out of the total 18 municipalities in the Western Morava Basin of the Republic of Serbia. Two structured survey instruments were developed, incorporating a mix of qualitative (closed-ended) multiple-choice questions and five-point Likert scales. The research proposes two central hypotheses regarding school-based disaster risk reduction. Firstly, it suggests that gender, age, parent’s employment, academic achievement, living situation, parental education levels, and engagement with social media collectively influence students’ perspectives on this matter (H1–H8). Secondly, it posits that gender, age, marital status, parenthood, and educational background significantly impact teachers’ viewpoints on school-based disaster risk reduction (H1–H5). Multivariate linear regression was used to explore predictors of students’ and teachers’ insights on school-based disaster risk reduction. Various statistical tests, including Chi-square, t-tests, one-way ANOVA, and Pearson’s correlation, were employed to investigate the influence of demographic and socioeconomic factors on these insights. The results of multivariate regression analyses indicate that age, gender, and marital status emerge as the primary predictors across various facets of students’ and teachers’ insights on school-based disaster risk reduction, including awareness of disasters, disaster education activities, attitudes toward disaster risk reduction education, and enhancement of disaster information accessibility. The findings of this study provide comprehensive insights into the key factors influencing students’ and teachers’ perceptions of disaster risk reduction in schools. This research not only contributes to the academic discourse on disaster education but also serves as a foundational basis for improving educational programs, developing policies and strategies, refining normative educational frameworks, guiding teacher training, and informing further research in disaster education.
Les Cahiers de la recherche architecturale et urbaine, 2012
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2023
module de Droit public, 2022
Gherlone, L. 2023. On binary opposition and binarism: A long-distance dialogue between decolonial critique and the Lotmanian semiotics. Sign System Studies, 51(2), pp. 254-279., 2023
Contemporary Issues in Education 2021, 2022
Journal of Physics: Condensed Matter, 2008
Oceanologica Acta
Prosiding Seminar Nasional Program Pengabdian Masyarakat
Clinical Lymphoma, Myeloma & Leukemia, 2019
Journal of Practical Studies in Education, 2021
Plant and Cell Physiology, 2004