• Asia Marketing Journal
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• 제13권4호
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• pp.55-76
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• 2012

사람들이 돈을 지불하지 않고 무료로 얻을 수 있는 공짜제품을 과다하게 선호하는 현상을 '공짜효과'라 한다. 기존 연구들에 의하면 공짜제품에 주어지는 특별한 가치 때문에 이와 같은 효과가 발생한다. 본 연구는 공짜효과가 항상 나타나는 것이 아니라 심리적 변수에 의하여 조절될 수 있다는 것을 보이기 위하여 자아조절자원과 해석수준의 조절효과를 살펴보았다. 자아조절자원이 고갈되면 통제의 힘이 약해져서 가격에 대한 민감도가 감소할 뿐만 아니라 직관적이고 노력을 별로 기울이지 않는 정보처리과정을 통해 의사결정을 수행한다. 또한, 주어진 정보를 어떤 해석수준에서 처리하는가에 따라 선택이 달라진다. 고차원 해석수준에서 중심기능을 바탕으로 대안의 바람직성에 따라서 선택하는 반면, 저차원 해석수준에서 부가기능을 바탕으로 대안의 실행가능성에 초점을 두어 선택한다. 이와 같은 특성이 공짜효과의 크기에 미치는 영향을 살펴보는 것이 본 연구의 가장 중요한 목적이다. 자아조절자원과 해석수준에 의해서 공짜효과의 크기가 조절될 수 있다는 사실을 검증하기 위해 2개의 실험설계를 채용하였다. 두 실험 모두에서 기존연구에서 사용한 실험재(키세스와 페레로로쉐 초콜릿)를 이용했다. 실험 1은 자아조절자원 고갈 여부가 공짜효과에 미치는 영향을 검증했다. 자아조절자원 고갈과 비고갈 집단으로 나누어 공짜대안이 있는 선택과업과 그렇지 않은 과업에 할당했다. 자아조절자원이 고갈되지 않은 집단에서 공짜효과가 확실하지만, 자아조절자원이 고갈된 집단에서 공짜효과가 약해진다는 것을 밝혔다. 실험 2는 해석수준이 공짜효과에 미치는 영향을 검증했다. 실험 2는 '왜(why)'와 '어떻게(how)'를 이용해 해석수준을 조작했으며, 실험 1과 유사하게 공짜대안이 존재하는 의사결정과업과 존재하지 않는 과업에 할당한 뒤 공짜대안 선택에 미치는 영향을 확인하였다. 고차원 해석수준의 집단은 저차원 해석수준의 집단에 비하여 공짜제품 선택비율이 낮았다.

• 한국통신학회:학술대회논문집
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• 한국통신학회 2004년도 하계종합학술발표회논문초록집
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• pp.466-466
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• 2004

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.202-205
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• 2005

Cell phenotypes are determined by the concerted activity of thousands of genes and their products. This activity is coordinated by a complex network that regulates the expression of genes. Understanding this organization is crucial to elucidate cellular activities, and many researches have tried to construct gene regulatory networks from mRNA expression data which are nowadays the most available and have a lot of information for cellular processes. Several computational tools, such as Boolean network, Qualitative network, Bayesian network, and so on, have been applied to infer these networks. Among them, Bayesian networks that we chose as the inference tool have been often used in this field recently due to their well-established theoretical foundation and statistical robustness. However, the relative insufficiency of experiments with respect to the number of genes leads to many false positive inferences. To alleviate this problem, we had developed the algorithm of MONET(MOdularized NETwork learning), which is a new method for inferring modularized gene networks by utilizing two complementary sources of information: biological annotations and gene expression. Afterward, we have packaged and improved MONET by combining dispersed functional blocks, extending species which can be inputted in this system, reducing the time complexities by improving algorithms, and simplifying input/output formats and parameters so that it can be utilized in actual fields. In this paper, we present the architecture of MONET system that we have improved.

• Interdisciplinary Bio Central
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• 제3권1호
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• pp.5.1-5.5
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• 2011

Introduction: Many signal transduction pathways mediate cell's behavior by regulating expression level of involved genes. Abnormal behavior indicates loss of regulatory potential of pathways, and this can be attributed to loss of expression regulation of downstream genes. Therefore, function of pathways should be assessed by activity of a pathway itself and relative activity between a pathway and downstream genes, simultaneously. Results and Discussion: In this study, we suggested a new method to assess pathway's function by introducing concept of 'responsiveness'. The responsiveness was defined as a relative activity between a pathway itself and its downstream genes. The expression level of a downstream gene as a function of an upstream pathway activation characterizes disease status. In this aspect, by using the responsiveness we predicted potential progress in cancer development. We applied our method to predict primary and metastatic status of melanoma cancer. The result shows that the responsiveness-based approach achieves better performance than using gene or pathway information alone. The mean of ROC scores in the responsiveness-based approach was 0.90 for GSE7553 data set, increased more than 40% compared to a gene-based method. Moreover, identifying the abnormal regulatory patterns between pathway and its downstream genes provided more biologically interpretable information compared to gene or pathway based approaches.

• Journal of Microbiology and Biotechnology
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• 제16권6호
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• pp.832-848
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• 2006

Systems biology has recently become an important research paradigm that is anticipated to decipher the metabolic, regulatory, and signaling networks of complex living organisms on the whole organism level. Thus, various research outputs are being generated, along with the development of many tools and resources for systems biology research. Accordingly, this review provides a comprehensive summary of the current resources and tools for systems biology research that will hopefully be helpful to researchers involved in this field. The resources are categorized into the following five groups: genome information and analysis, transcriptome and proteome databases, metabolic profiling and metabolic control analysis, metabolic and regulatory information, and software for computational systems biology. A summary table and some future perspectives are also provided.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.5219-5243
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• 2019

In electronic ticketing system, the malicious behavior of scalpers damages the customer's interest and disturbs the normal order of market. In order to solve the problem of scalpers, we took two steps. Firstly, we established the electronic ticketing system based on the consortium blockchain (CB-ETS). By establishing CB-ETS, we can make the ticketing market develop better in a controlled environment and be managed by the members in the consortium blockchain. Secondly, we put forward a kind of taxation mechanism for suppressing scalpers based on CB-ETS. Together with the regulatory mechanism, our scheme can effectively reduce the scalpers' profits and further inhibit scalpers. Through the above two steps, the scheme can effectively resist the malicious behavior of scalpers. Among them, in the process of transferring tickets, we optimized the transfer mechanism to achieve a win-win situation. Finally, we analyzed the security and efficiency of our scheme. Our scheme realizes the anonymity through the mixed currency protocol based on ring signature and guarantees the unforgeability of tickets by multi-signature in the process of modifying the invalidity of tickets. It also could resist to Dos attacks and Double-Spending attacks. The efficiency analysis shows that our scheme is significantly superior to relevant works.

• Journal of the Korean Data and Information Science Society
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• 제27권1호
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• pp.225-243
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• 2016

Thanks to recent advance of next generation sequencing techniques, RNA-seq enabled to have an unprecedented opportunity to identify transcript variants with isoform diversity and allelic imbalance (Anders et al., 2012) by different transcriptional rates. To date, it is well known that those features might be associated with the aberrant patterns of disease complexity such as tissue (Anders and Huber, 2010; Anders et al., 2012; Nariai et al., 2014) specific differential expression at isoform levels or tissue specific allelic imbalance in mal-functionality of disease processes, etc. Nevertheless, the knowledge of post-transcriptional modification and AI in transcriptomic and genomic areas has been little known in the traditional platforms due to the limitation of technology and insufficient resolution. We here stress the potential of isoform variability and allelic specific expression that are relevant to the abnormality of disease mechanisms in transcriptional genetic regulatory networks. In addition, we systematically review how robust Bayesian approaches in RNA-seq have been developed and utilized in this regard in the field.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.391-401
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• 2021

Technological developments facilitate payment transactions. In 2020, Bank Indonesia issued a regulation that supports QR payments using the Indonesian Standard Quick Response Code (QRIS). PT ABC is one of the banks that launched a QR payment feature on mobile banking with QRIS standards to make it easier for customers to make payment transactions at various merchants. In its implementation, the interest of QR payment users still tends to be small, so an analysis of the interests of QR payment users is carried out. The purpose of this study is to analyze the factors that influence user interest by using a modified UTAUT model. The UTAUT model was modified by adding variables to perceived trust, perceived risk, perceived regulatory support, and promotional benefits. The population taken is the company's customers in the DKI Jakarta area and it takes 403 samples for this case study. The results of empirical analysis show that 8 out of 12 hypotheses are considered proven where business expectations, social influence, perceived trust, perceived risk, perceptions of regulatory support, promotion benefits, age-moderated performance expectations, and age-moderate effort expectations have a significant effect on behavioral intentions, while performance expectations, facilitation conditions, business expectations are moderated by experience and social influence.

• 한국컴퓨터정보학회논문지
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• 제24권6호
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• pp.81-88
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• 2019

Based on the theory of planned behavior and the theory of legal deterrence, this study takes consumers' willingness to pay for digital music as the research object, investigates the consumers who have digital music consumption channels and behaviors, and discusses the willingness of consumers to pay for digital music and its influencing factors. The study attempts to achieve the following research purposes: First, explore the influencing factors of willingness to pay for digital music using domestic and foreign literature research and related content analysis. Second, we want to examine the effect of Attitude, Collective Specifications, Quality Sensitivity and Music affinity on willingness to pay. Third, Legal deterrence and resource availability tries to verify whether there is a moderating effect between Attitude, Collective Specifications, Quality Sensitivity and Music affinity and willingness to pay. The research data was collected in 2019 between April 6th to May 8th. Questionnaires were randomly distributed in fixed places, mainly in Hubei Province, China. A total of 393 questionnaires were selected for data analysis. Based on the previous theoretical review and empirical analysis, the study draws the following conclusions: Firstly, attitude, collective specifications, quality sensitivity and music affinity have an impact on the willingness to pay. Second, Legal deterrence has a regulatory effect on the relationship among quality sensitivity, musical affinity and the willingness to pay. Last the resource availability has a significant impact on the willingness to pay. It also has a regulatory effect on the relationship among quality sensitivity, music affinity and the willingness to pay.

• International Journal of Computer Science & Network Security
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• 제21권6호
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• pp.231-236
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• 2021

The article assesses the functioning of the DE system or a separate educational institution, where it can be carried out on the basis of developed criteria or on a regulatory basis. The assessment was carried out on the basis of a qualitative and quantitative nature by comparing the actual state of affairs with a certain "ideal" (educational standard), which must be defined and used as a kind of benchmark against which the assessment is made. Conducted an assessment based on a regulatory framework that represents an alternative approach. It has been emphasized that the exceptional difficulty in determining the ideal indicators (norms) of the activities of universities, it has been found that the normative approach, in which the activities of traditional and open universities are compared, taking into account the differences in social, cultural and economic conditions, is the most acceptable.