• 제목/요약/키워드: further study

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노래 사용의 가능성과 효과: EFL 대학생 사례연구 (A Study on the Feasibility and Effectiveness Using Songs: A Case Study of EFL College Students)

  • 유도형
    • 비교문화연구
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    • 제38권
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    • pp.351-384
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    • 2015
  • This paper is concerned with the effectiveness of songs in the acquisition of formulaic sequences in the college EFL classroom. The existing research mentions the use of songs in terms of the power of their melodies (Fonseca-Mora, 2000), linguistic features in song lyrics (Abbott, 2002), and the emotional basis of memory (LI & Brand, 2009). Learners' opinions about the use of songs has been ignored, however. In this paper, seven subjects with English ability ranging from advanced (one) intermediate-high (three), intermediate-middle (two), and intermediate-low (one) studied five different pop songs. The results showed that they did not agree with the existing research findings. Rather, they were negative about using songs in the classroom. Their complaints were the burden of using too many hours to memorize lyrics, few language expressions to learn, and too much emphasis on expressions about love and feelings. Students at all levels expressed similar negativity about the use of songs. When their complaints were discussed during interviews, however, their attitude changed from negative to positive. The case study in this paper was on a small-scale but it is suggested that through further research the use of songs could be activated in the EFL classroom. Considering college language learners disregard most existing EFL materials, it appears to be worthwhile to continue further with this kind of research.

Bell's palsy 후유증 중 facial synkinesis에 관한 최근 논문 경향 분석 - Pubmed 중심으로 - (Reviewing Recent Research on Facial Synkinesis of Bell's Palsy Sequelae - Pubmed Research -)

  • 이동진;황보민;권강;서형식
    • 한방안이비인후피부과학회지
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    • 제25권4호
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    • pp.1-11
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    • 2012
  • Objective : The purpose of this study is to analyze research trends on facial synkinesis after bell's palsy in order to build stepping stone in the hope of further related study in Korean medicine society. Methods : We searched Pubmed with the title "facial synkinesis" only developed after bell's palsy for the last 10 years and analyzed their impact factors, interventions, types of study, published countries, journals and years. Results : We found 12 papers and interventions included in each studies turned out to be effective and showed meaningful outcomes, but, the number of papers is still inadequate though, constantly published annually. And we were unable to find any studies with oriental treatments. Conclusions : Further attention and studies are needed on this topic in Korean medicine society in order to search appropriate oriental clinical care for the bell's palsy patients suffering facial synkinesis.

상수관망의 누수감지를 위한 주성분 분석의 적용 가능성에 대한 연구 (Study on the applicability of the principal component analysis for detecting leaks in water pipe networks)

  • 김기민;박수완
    • 상하수도학회지
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    • 제33권2호
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    • pp.159-167
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    • 2019
  • In this paper the potential of the principal component analysis(PCA) technique for the application of detecting leaks in water pipe networks was evaluated. For this purpose the PCA was conducted to evaluate the relevance of the calculated outliers of a PCA model utilizing the recorded pipe flows and the recorded pipe leak incidents of a case study water distribution system. The PCA technique was enhanced by applying the computational algorithms developed in this study which were designed to extract a partial set of flow data from the original 24 hour flow data so that the effective outlier detection rate was maximized. The relevance of the calculated outliers of a PCA model and the recorded pipe leak incidents was analyzed. The developed algorithm may be applied in determining further leak detection field work for water distribution blocks that have more than 70% of the effective outlier detection rate. However, the analysis suggested that further development on the algorithm is needed to enhance the applicability of the PCA in detecting leaks by considering series of leak reports happening in a relatively short period.

Bank Capital and Lending Behavior of Vietnamese Commercial Banks

  • DANG, Van Dan;LE, Thi Tuyet Hoa;LE, Dinh Hac;NGUYEN, Hoang Dieu Hien
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.373-385
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    • 2021
  • The objective of the study is to empirically investigate the impact of bank capital on the lending behavior of Vietnamese commercial banks from 2007 to 2019. Lending behavior is captured by two dimensions, including the quantity (loan growth) and quality (credit risk) of loans. Instead of investigating loan growth and credit risk separately, we combine these two aspects in our study and further develop the interaction term between capital buffers and credit risk to capture the asymmetric impact. We apply the dynamic model (regressed by the generalized method of moments) and the static models (regressed using the fixed effects, random effects, and the pooled regression approach) to perform regressions. The results show that banks with higher capital ratios tend to expand lending more, while the risk of credit portfolios is controlled at lower levels at these banks. Further analysis reveals that credit risk mitigates some aspects of the relationship between bank capital and loan expansion. The patterns remain robust across alternative measures and econometric techniques. The study provides insightful policy implications for bank managers and regulators in the process of upgrading capital resources to ensure the safety and soundness of the banking industry in an emerging country.

How Effectively Safety Incentives Work? A Randomized Experimental Investigation

  • Ahmed, Ishfaq;Faheem, Asim
    • Safety and Health at Work
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    • 제12권1호
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    • pp.20-27
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    • 2021
  • Background: Incentive and penalty (I/P) programs are commonly used to increase employees' safety outcomes, but its influence on employees' safety outcomes is under-investigated. Moreover, under developed economies lack safety culture and there is dearth of literature focusing on empirical studies over there [1]. Based on these gaps, this study attempts to see the impact of I/P programs on safety outcomes in a developing country. Methods: The study was carried out in three stages, where Stage I revealed that selected 45 organizations were deficit of safety culture and practices, while only three firms were found good at safety practices. At Stage II, these three firms were divided in two clusters (groups), and were probed further at Stage III. At this stage group, one was manipulated by providing incentives (experimental group) and employees' responses in terms of safety motivation and performance were noticed. Results: It was observed that the experimental group's safety motivation and performance had improved (both for immediate and 1-month later performance). The results were further probed at Phase 3 (after 3 months), where it was found that the benefits of I/P programs were not long lasting and started replenishing. Conclusion: Findings of the study helped researchers conclude that safety incentives have only short-term influence on safety outcomes, while a long-term and permanent solution should be found.

Comparing the Performance of 17 Machine Learning Models in Predicting Human Population Growth of Countries

  • Otoom, Mohammad Mahmood
    • International Journal of Computer Science & Network Security
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    • 제21권1호
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    • pp.220-225
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    • 2021
  • Human population growth rate is an important parameter for real-world planning. Common approaches rely upon fixed parameters like human population, mortality rate, fertility rate, which is collected historically to determine the region's population growth rate. Literature does not provide a solution for areas with no historical knowledge. In such areas, machine learning can solve the problem, but a multitude of machine learning algorithm makes it difficult to determine the best approach. Further, the missing feature is a common real-world problem. Thus, it is essential to compare and select the machine learning techniques which provide the best and most robust in the presence of missing features. This study compares 17 machine learning techniques (base learners and ensemble learners) performance in predicting the human population growth rate of the country. Among the 17 machine learning techniques, random forest outperformed all the other techniques both in predictive performance and robustness towards missing features. Thus, the study successfully demonstrates and compares machine learning techniques to predict the human population growth rate in settings where historical data and feature information is not available. Further, the study provides the best machine learning algorithm for performing population growth rate prediction.

Organization of Independent Work of Students of Higher Pedagogical Universities of Ukraine by Means of Moodle

  • Alla, Lukіianchuk;Dmytro, Yefimov;Oksana, Biletska;Andrii, Hrytsenko;Oxana, Hevko
    • International Journal of Computer Science & Network Security
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    • 제22권7호
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    • pp.421-426
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    • 2022
  • This study aimed to determine the effectiveness of the Moodle system in the organization of independent work of students of pedagogical profile.The purpose of the article is to analyze the Moodle platform as an innovative element of educational and pedagogical strategies and a component of the educational and methodological content for the self-study of students.Methodology is divided into clusters: general scientific (analysis, classification), ICT methods (modeling, informatization), and philosophical (synergetics). The study revealed the reorientation of Moodle from an auxiliary element to an alternative format in the organization of independent work of student teachers. Prospects for further scientific research determined in the interest of all participants in the educational process in the further development of Moodle as an effective tool for self-education of future teachers.

Presentation of potential genes and deleterious variants associated with non-syndromic hearing loss: a computational approach

  • Ray, Manisha;Rath, Surya Narayan;Sarkar, Saurav;Sable, Mukund Namdev
    • Genomics & Informatics
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    • 제20권1호
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    • pp.5.1-5.10
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    • 2022
  • Non-syndromic hearing loss (NSHL) is a common hereditary disorder. Both clinical and genetic heterogeneity has created many obstacles to understanding the causes of NSHL. The present study has attempted to ravel the genetic aetiology in NSHL progression and to screen out potential target genes using computational approaches. The reported NSHL target genes (2009-2020) have been studied by analyzing different biochemical and signaling pathways, interpretation of their functional association network, and discovery of important regulatory interactions with three previously established miRNAs in the human inner ear as well as in NSHL such as miR-183, miR-182, and miR-96. This study has identified SMAD4 and SNAI2 as the most putative target genes of NSHL. But pathogenic and deleterious non-synonymous single nucleotide polymorphisms discovered within SMAD4 is anticipated to have an impact on NSHL progression. Additionally, the identified deleterious variants in the functional domains of SMAD4 added a supportive clue for further study. Thus, the identified deleterious variant i.e., rs377767367 (G491V) in SMAD4 needs further clinical validation. The present outcomes would provide insights into the genetics of NSHL progression.

Impact of Digitalization On the Banking System Transformation

  • Shcherbatykh, Denis;Shpileva, Vira;Riabokin, Maryna;Zham, Olena;Zalizniuk, Viktoriia
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.513-520
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    • 2021
  • The purpose of the article is to study the impact of digitalization on the transformation of the banking system, taking into account current innovative development trends. The article analyzes the impact of key factors on the development of the digital economy. Ukraine's ranking positions in terms of digital competitiveness are shown. The necessity of using digital technologies in the sphere of banking activity is substantiated. The dynamics of changes in the number of operating banks in Ukraine is analyzed. The directions of introduction of information technologies in the sphere of banking activity are determined. An analysis of changes in the share of the population of individual EU member states that use the Internet for Internet banking. It is noted that modern transformation trends, digitalization of the economy have a significant impact on the landscape of the banking sector, in this context, the rating of Ukrainian banks in the categories of "Internet Banking" and "Mobile Banking". The advantages and disadvantages of using the capabilities of Internet banking are identified. Based on the study, the importance of expanding the boundaries of digitalization of the domestic banking system is substantiated, which will further increase the level of availability of online services in the field of banking. Prospects for further research are identified in the study of the impact of digitalization on the development of the banking system of foreign countries.

Identification of Long Non-Coding RNAs and Their Target Genes from Mycelium and Primordium in Model Mushroom Schizophyllum commune

  • Tuheng Wu;Jian Chen;Chunwei Jiao;Huiping Hu;Qingping Wu;Yizhen Xie
    • Mycobiology
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    • 제50권5호
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    • pp.357-365
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    • 2022
  • Schizophyllum commune has emerged as the most promising model mushroom to study developmental stages (mycelium, primordium), which are two primary processes of fruit body development. Long non-coding RNA (lncRNA) has been proved to participate in fruit development and sex differentiation in fungi. However, potential lncRNAs have not been identified in S. commune from mycelium to primordium developmental stages. In this study, lncRNA-seq was performed in S. commune and 61.56 Gb clean data were generated from mycelium and primordium developmental stages. Furthermore, 191 lncRNAs had been obtained and a total of 49 lncRNAs were classified as differently expressed lncRNAs. Additionally, 26 up-regulated differently expressed lncRNAs and 23 down-regulated between mycelium and primordia libraries were detected. Further, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that differentially expressed lncRNAs target genes from the MAPK pathway, phosphatidylinositol signal, ubiquitin-mediated proteolysis, autophagy, and cell cycle. This study provides a new resource for further research on the relationship between lncRNA and two developmental stages (mycelium, primordium) in S. commune.