• Title/Summary/Keyword: discipline specificity

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Lexical Bundles in Computer Science Research Articles: A Corpus-Based Study

  • Lee, Je-Young;Lee, Hye Jin
    • International Journal of Contents
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    • v.14 no.4
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    • pp.70-75
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    • 2018
  • The purpose of this corpus-based study was to find 4-word lexical bundles in computer science research articles. As the demand for research articles (RAs) for international publication increases, the need for acquiring field-specific writing conventions for this academic genre has become a burning issue. Particularly, one area of burgeoning interest in the examination of rhetorical structures and linguistic features of RAs is the use of lexical bundles, the indispensable building blocks that make up an academic discourse. To illustrate, different academic discourses rely on distinctive repertoires of lexical bundles. Because lexical bundles are often acquired as a whole, the recurring multi-word sequences can be retrieved automatically to make written discourse more fluent and natural. Therefore, the proper use of rhetorical devices specific to a particular discipline can be a vital indicator of success within the discourse communities. Hence, to identify linguistic features that make up specific registers, this corpus-based study examines the types and usage frequency of lexical bundles in the discipline of CS, one of the most in-demand fields world over. Given that lexical bundles are empirically-derived formulaic multi-word units, identifying core lexical bundles used in RAs, they may provide insights into the specificity of particular CS text types. This will in turn provide empirical evidence of register specificity and technicality within the academic discourse of computer science. As in the results, pedagogical implications and suggestions for future research are discussed.

Review on Instrumental Task and Program Characteristics for Measuring and Developing Mathematical Creativity (수학적 창의성 계발을 위한 과제와 수업 방향 탐색)

  • Sung, Chang-Geun;Park, Sung-Sun
    • Journal of Elementary Mathematics Education in Korea
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    • v.16 no.2
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    • pp.253-267
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    • 2012
  • In this paper, we primarily focus on the perspectives about creative process, which is how mathematical creativity emerged, as one aspect of mathematical creativity and then present a desirable task characteristic to measure and program characteristics to develop mathematical creativity. At first, we describe domain-generality perspective and domain-specificity perspective on creativity. The former regard divergent thinking skill as a key cognitive process embedded in creativity of various discipline domain involving language, science, mathematics, art and so on. In contrast the researchers supporting later perspective insist that the mechanism of creativity is different in each discipline. We understand that the issue on this two perspective effect on task and program to foster and measure creativity in mathematics education beyond theoretical discussion. And then, based on previous theoretical review, we draw a desirable characteristic on instruction program and task to facilitate and test mathematical creativity, and present an applicable task and instruction cases based on Geneplor model at the mathematics class in elementary school. In conclusion, divergent thinking is necessary but sufficient to develop mathematical creativity and need to consider various mathematical reasoning such as generalization, ion and mathematical knowledge.

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The Study of Analyzing Types of Writing Tasks for Foreign Undergraduates of Korean Language and Literature Majors (국어국문학 전공 외국인 유학생을 위한 작문 과제 유형 연구)

  • Lim, Hyung-ok
    • Journal of Korean language education
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    • v.29 no.2
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    • pp.125-154
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    • 2018
  • This study aims to analyze the types of writing tasks in Korean language and literature majors. There are many foreign students in the department of Korean language and literature. It is important to identify the type of task that is the subject of communication when conducting communication activities in an academic context. In particular, writing tasks are among the most important tasks that learners must perform. This is because most of the tasks assigned within the university curriculum are assigned to writing tasks, and evaluation is often done through learner writing. Therefore, this study investigated the types of tasks to be imposed on Korean Language and Literature majors. As a result, summary is the most frequent type of task in the department of Korean language. And in the department of Korean literature, review is most frequent type of task. The results of this study will help to prepare contents for foreign undergraduates of Korean language and literature majors.

Applications of Transposon-Based Gene Delivery System in Bacteria

  • Choi, Kyoung-Hee;Kim, Kang-Ju
    • Journal of Microbiology and Biotechnology
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    • v.19 no.3
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    • pp.217-228
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    • 2009
  • Mobile genetic segments, or transposons, are also referred to as jumping genes as they can shift from one position in the genome to another, thus inducing a chromosomal mutation. According to the target site-specificity of the transposon during a transposition event, the result is either the insertion of a gene of interest at a specific chromosomal site, or the creation of knockout mutants. The former situation includes the integration of conjugative transposons via site-specific recombination, several transposons preferring a target site of a conserved AT-rich sequence, and Tn7 being site-specifically inserted at attTn7, the downstream of the essential glmS gene. The latter situation is exploited for random mutagenesis in many prokaryotes, including IS (insertion sequence) elements, mariner, Mu, Tn3 derivatives (Tn4430 and Tn917), Tn5, modified Tn7, Tn10, Tn552, and Ty1, enabling a variety of genetic manipulations. Randomly inserted transposons have been previously employed for a variety of applications such as genetic footprinting, gene transcriptional and translational fusion, signature-tagged mutagenesis (STM), DNA or cDNA sequencing, transposon site hybridization (TraSH), and scanning linker mutagenesis (SLM). Therefore, transposon-mediated genetic engineering is a valuable discipline for the study of bacterial physiology and pathogenesis in living hosts.

A Proposal for the Definition of Insider (Threat) and Mitigation for the Korea Military Environment (한국군 환경에 적합한 내부자(위협) 정의 및 완화방안 제안)

  • Won, Kyung-Su;Kim, Seung-Joo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.5
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    • pp.1133-1151
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    • 2019
  • Insider threats in the field of information security are so important that the research is continuing centering on the institutes attached to the Carnegie Mellon University. On the other hand, we do not have any separate research institutes. In particular, insider threat research on the defense IT environment directly connected with the survival of the country is not proceeding in depth. In addition, due to the specificity of the military, defense IT security has limited research as an academic discipline, and even the establishment of concepts has not been achieved properly. In addition, because of differences in the environment, the US standard can not be borrowed as it is. This paper analyzes the defense IT environment and defines an insider (threat) suitable for the Korea military environment. I'd like to suggest the type of insider threat and how to mitigate it.

Evaluation of deep learning and convolutional neural network algorithms for mandibular fracture detection using radiographic images: A systematic review and meta-analysis

  • Mahmood Dashti;Sahar Ghaedsharaf;Shohreh Ghasemi;Niusha Zare;Elena-Florentina Constantin;Amir Fahimipour;Neda Tajbakhsh;Niloofar Ghadimi
    • Imaging Science in Dentistry
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    • v.54 no.3
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    • pp.232-239
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    • 2024
  • Purpose: The use of artificial intelligence (AI) and deep learning algorithms in dentistry, especially for processing radiographic images, has markedly increased. However, detailed information remains limited regarding the accuracy of these algorithms in detecting mandibular fractures. Materials and Methods: This meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Specific keywords were generated regarding the accuracy of AI algorithms in detecting mandibular fractures on radiographic images. Then, the PubMed/Medline, Scopus, Embase, and Web of Science databases were searched. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool was employed to evaluate potential bias in the selected studies. A pooled analysis of the relevant parameters was conducted using STATA version 17 (StataCorp, College Station, TX, USA), utilizing the metandi command. Results: Of the 49 studies reviewed, 5 met the inclusion criteria. All of the selected studies utilized convolutional neural network algorithms, albeit with varying backbone structures, and all evaluated panoramic radiography images. The pooled analysis yielded a sensitivity of 0.971 (95% confidence interval [CI]: 0.881-0.949), a specificity of 0.813 (95% CI: 0.797-0.824), and a diagnostic odds ratio of 7.109 (95% CI: 5.27-8.913). Conclusion: This review suggests that deep learning algorithms show potential for detecting mandibular fractures on panoramic radiography images. However, their effectiveness is currently limited by the small size and narrow scope of available datasets. Further research with larger and more diverse datasets is crucial to verify the accuracy of these tools in in practical dental settings.