• Journal of Smart Tourism
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• 제1권3호
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• pp.31-44
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• 2021

The emergence of the digital economy and easy accessibility to Web 2.0 tools has seen an expansion of the influencer ecosystem within the travel and tourism industry. Founded on the principles of reference groups and peer reference there is a growing trend amongst industry practitioners who are now opting to move away from many of the traditional approaches used to market their products and services and are instead taking advantage of the concept of e-word-of-mouth (eWOM). Whilst there is a growing body of academic literature addressing the notion of influencer marketing, there is little understanding of influencer marketers themselves. Consequentially, this study addresses this gap in the literature through the quantitative examination of those who promote products, services, or companies by distributing eWOM through their online digital channels and presence; otherwise known as travel influencers. A quantitative research approach involving an online survey yielded 255 responses from travel influencers. The research findings indicate that those who work in this field prefer not to be awarded the label "travel influencer," focusing instead on their specific method of influencing, such as blogging and vlogging or sharing Instagram updates. The research also demonstrates how the new influencers have a strong role in generating travel urge and desire. The research contributes to the wider body of academic literature and travel industry practitioners by establishing the general profile of influencers and their increasingly specialized role in tourism and hospitality marketing.

• International Journal of Oral Biology
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• 제46권1호
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• pp.1-6
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• 2021

Since the outbreak of coronavirus disease 2019 (COVID-2019), the infection has spread worldwide due to the highly contagious nature of severe acute syndrome coronavirus (SARS-CoV-2). To manage SARS-CoV-2, the development of diagnostic assays that can quickly and accurately identify the disease in patients is necessary. Currently, nucleic acid-based testing and serology-based testing are two widely used approaches. Of these, nucleic acid-based testing with quantitative reverse transcription-PCR (RT-qPCR) using nasopharyngeal (NP) and/or oropharyngeal (OP) swabs is considered to be the gold standard. Recently, the use of saliva samples has been considered as an alternative method of sample collection. Compared to the NP and OP swab methods, saliva specimens have several advantages. Saliva specimens are easier to collect. Self-collection of saliva specimens can reduce the risk of infection to healthcare providers and reduce sample collection time and cost. Until recently, the sensitivity and accuracy of the data obtained using saliva specimens for SARS-CoV-2 detection was controversial. However, recent clinical research has found that sensitive and reliable data can be obtained from saliva specimens using RT-qPCR, with approximately 81% to 95% correspondence with the data obtained from NP and OP swabs. These data suggest that self-collected saliva is an alternative option for the diagnosis of COVID-19.

• The Journal of Asian Finance, Economics and Business
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• 제10권2호
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• pp.1-14
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• 2023

The purpose of this study is to discover the possible solutions for the problem faced by academicians during online learning by means of employing qualitative and quantitative approaches. Using a qualitative approach, selected academicians were interviewed, and their feedback was transcribed and used to develop the survey instrument. The quantitative research design was later used to determine the most plausible solutions for the problem that could be obtained and implemented by distributing the questionnaire to academicians at a public university. Multiple regression analysis results indicate that work-life conflict and lack of support are the main contributors to academicians' mental and emotional health issues. The study's major findings help higher education institutions craft appropriate strategies to enhance the effectiveness of online teaching and learning by providing the necessary support to the academicians. The study's findings suggest that academicians should separate work and family requirements to concentrate on their job. Furthermore, the immediate supervisor must be considerate in determining the number of tasks, the deadlines, and the assistance required to complete the task. Lastly, academicians must equip themselves with emotional intelligence to cope with stressors.

• Ocean Systems Engineering
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• 제12권3호
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• pp.267-284
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• 2022

A subsea pipeline designed across active shipping lane prones to failure against external interferences such as anchorage activities, hence risk assessment is essential. It requires quantifying the geometric probability derived from ship traffic distribution based on Automatic Identification System (AIS) data. The actual probability density function from historical vessel traffic data is ideal, as for rapid assessment, conceptual study, when the AIS data is scarce or when the local vessels traffic are not utilised with AIS. Recommended practices suggest the probability distribution is assumed as a single peak Gaussian. This study compares several fitted Gaussian distributions and Monte Carlo simulation based on actual ship traffic data in main ship direction in an active shipping lane across a subsea pipeline. The results shows that a Gaussian distribution with five peaks is required to represent the ship traffic data, providing an error of 0.23%, while a single peak Gaussian distribution and the Monte Carlo simulation with one hundred million realisation provide an error of 1.32% and 0.79% respectively. Thus, it can be concluded that the multi-peak Gaussian distribution can represent the actual ship traffic distribution in the main direction, but it is less representative for ship traffic distribution in other direction. The geometric probability is utilised in a quantitative risk assessment (QRA) for subsea pipeline against vessel anchor dropping and dragging and vessel sinking.

• Toxicological Research
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• 제18권1호
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• pp.59-64
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• 2002

Substantial evidences have been accumulated about the hormone-like effects of exogenous substances such as pesticides and industrial chemicals during past years. The effects of these substances on the endocrine system are believed to be either enhancing or reducing of various endocrine action. It is necessary to identify putative causal agents by the batter system and to assess their ability to disrupt the endocrine system. A variety of in vitro and In vivo approaches have been used to determine the androgenic effects of environmental chemicals. To establish the method for assessment of the putative endocrine disruptors with androgenic activity, we carried out the cell proliferation assay by MTS method after treatment with the various concentration of testosterone in LNCaP cells (human prostatic cancer cell line) and also observed the expression of androgen-related genes by quantitative RT-PCR. In the cell proliferation assay, the results showed that the grouth of LNCaP cells increased within level of at least 10pM testosterone. We measured by quantitative RT-PCR method on the effects of testosterone on mRNA expression of androgen receptor (AR), prostate-specific antigen (PSA), bone morphogenetic protein (BMP) and BMP receptor (BMPR) In LNCaP cells. The results demonstrated that mRNA expression of PSA and BMPR-IB was observed differently within level of at least 0.01 pM testosterone compared with non-treated control. These observations suggest that the detection of PSA and BMPR-IB mRNA by the quantitative RT-PCR in LNCaP cells is very sensitive method to identify the endocrine disruptors to have the androgenic effects.

• 한국가스학회지
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• 제1권1호
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• pp.81-86
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• 1997

본 연구에서는 다양한 위험성 평가 방법중에서 사고의 발생 경위를 연역적으로 추론해 나가는 이상 트리 분석 방법을 이용하여 정상사상을 일으킬 수 있는 시스템 요소들의 파악으로부터 화학공장의 사고 발생 가능성을 산정하였다. Gate-by-gate 방법과 최소 컷 ? 방법을 이용하여 공장내 존재하는 잠재위험에 대하여 정성적 및 정량적 위험성 평가를 수행하였다. 정량적인 위험성 평가 단계에서는 시스템 요소의 고장률 또는 신뢰율 자료로부터 정상사상의 사고 발생 확률 및 빈도를 계산하였다 결론적으로 이상 트리 분석방법을 이용하여 시스템/공정의 사고 발생확률을 논리 방식으로 계산할 수 있었으며, 중요도 분석을 이용하여 정상 사상이 발생하는데 가장 큰 영향을 미치는 손실 경로를 확인하여 보았다.

• Asian-Australasian Journal of Animal Sciences
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• 제28권7호
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• pp.926-935
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• 2015

The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a $BayesC{\pi}$ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions.

• 한국콘텐츠학회논문지
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• 제16권10호
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• pp.188-195
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• 2016

인적자원관리 (HRM)는 조직 내 구성원과 관련된 복잡한 현상과 인간관계의 다원성을 다룬다. 이러한 이유에서 정량적인 접근방법을 적용한 HRM의 연구에서는 분석의 대상과 영역이 필연적으로 제한적일 수 밖에 없다. 기업의 HRM이 포괄하는 다양한 영역 가운데 정성적인 영역이 기업의 성과와 경쟁우위를 실질적으로 좌우하는 경우가 많다. 그러나 기존의 정량적인 시각을 통한 접근은 HRM의 정성적인 측면을 등한시 해온 경향성을 보여주었다. 점차 복잡해지고 있는 HRM과 관련된 연구의 현실에서 정량적인 접근방법에 의한 연구방법은 본질적인 차원에서 그 한계를 배태하고 있다. 이러한 의미에서 본 연구는 HRM과 관련된 선행 연구를 바탕으로 질적인 방법을 적용하기 위한 주요 논점의 제시를 목적으로 하였다. 본 연구에서는 HRM 연구가 직면하고 있는 현실에서 정성적인 접근방법의 필요성을 강조하였다. 또한 HRM 연구의 다차원적인 발전을 위해 사례연구 방법의 적용을 제안함으로써 관련 연구 주제의 복잡성에 대응하고 심층적인 이해의 확대 가능성을 제시하였다.

• International Journal of Industrial Entomology and Biomaterials
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• 제17권2호
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• pp.229-234
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• 2008

We used serial analysis of gene expression (SAGE) approach to derive a profile of expressed genes of the posterior silk glands (PSG) and to create a reference for understanding gene cluster related to the mechanism of silk protein synthesis in the silkworm, Bombyx mori. We constructed a 3' SAGE library from the PSG of the fifth instar larvae of the silkworm. In total we obtained 2,406 SAGE tags, of which 682 were unique tags. Sorted by tag count number, 27 (4%) unique tags were significantly more abundant genes (ten or more times), whereas 445 (65%) unique tags were detected as single copies. The annotation of 682 unique SAGE tags revealed that 462 (68%) of the SAGE tag sequences represented known genes, whereas 220 (32%) of the tag sequences had no matches in SAGE map and silkworm EST databases. Of the 682 SAGE tags, the most abundant tag sequences were that of the fibroin light chain gene and the silk protein P25. In addition, we compared two relative abundance results of the SAGE and the EST approaches to verify whether their transcript quantitative aspects are significant or not. The comparative results of relative abundances of the fibroin H-, L- chain and P25 glycoprotein genes indicated that the quantitative approach based on SAGE tags is effective for quantitative cataloging and comparison of expressed genes in same organs. The SAGE tag information reported in this study would be useful for researchers in the field to analyze genes associated with silk processing mechanisms of insects.

• 응용통계연구
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• 제29권6호
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• pp.1007-1023
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• 2016

본 글은 역사학, 그 중에서 한국사 연구에서 활용 가능한 빅데이터 분석 방법론을 모색하고, 이를 활용한 '디지털 역사학'의 가능성을 검토하는 것을 목적으로 한다. 방대한 '한국사 빅데이터'를 활용한 한국사 연구를 위해서는 기존의 질적분석 방법론뿐만 아니라 양적분석 방법론이 모색되어야 한다. 이를 위해서는 다양한 학문 분야와의 학제 간 융합연구가 요청된다. 본 글에서는 '한국사 빅데이터'를 활용한 다양한 융합연구의 출현을 고대하면서, 학제 간 융합연구의 연구방법론을 제안하고, 이를 적용한 연구의 한 사례를 소개하였다. 즉, 문장의 의미를 분석하는 텍스트 분석방법으로 '한국사 빅데이터'에서 원하는 정보를 추출한다면, 양적분석 방법론의 단점으로 지적되는 '행간의 의미읽기의 부재'를 점차 보완해 갈 수 있을 것이다. 그리고 이러한 방법론으로 구축한 데이터베이스를 바탕으로 준지도 학습(Semi-Supervised Learning) 방법론을 적용할 경우, 사료가 충분하지 않은 전근대 한국사의 역사적 인물과 사건들을 분석하는데 유용하게 활용될 것으로 기대된다. 분석 결과를 직관적으로 보여주는 시각화를 통해서도 평면적 연구에서 찾아내지 못한 역사적 사실들을 밝혀낼 수 있을 것이다. 이제 '디지털 역사학'의 서막이 오른 것이다.