• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.11B
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• pp.1001-1011
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• 2004

The structure of info-communications industry has been changing from vertical integration to horizontal layered disintegration as the Internet technology has been rapidly developed. Considering with this background, EU has decided to introduce new regulatory framework called 2003 framework and asked member states to shift to new framework by July 2003. The key words of the new framework is to be denoted by the following three characteristics: Introduction of cross-media regulatory framework Alleviation of entry regulation by general authorization, Transition from ex ante regulation to ex post regulation.

• Journal of environmental and Sanitary engineering
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• v.24 no.4
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• pp.90-101
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• 2009

The purpose of this study was to identify the factors influencing hope in female high school students. The participants were 207 female high school students who were selected from 2 schools located at Province J. The data was collected from September, 2 to 24 in 2009, by self report questionnaires. The data was analyzed using descriptive statistics, t-test, one-way ANOVA, Duncan, Pearson's correlation coefficients and stepwise multiple regression, with the SPSS /WIN 13.0 program. Hope in female high school students differed by economic state and school record. Hope in female high school students positively correlated to task difficulty preference, self-regulatory efficacy, self-confidence, teacher support and peer support. Self-regulatory efficacy, peer support and self-confidence accounted for 34.7% of hope in female high school students. This study showed that self-regulatory efficacy, peer support and self-confidence should be considered in developing a practical nursing intervention program to increase hope in female high school students.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.221-226
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• 2020

Smart homes have become the state of the art in the reduction and monitoring of energy usage within a residential setting. Emerging threats such as climate change, global warming and volatility in energy prices have fuelled the interest in smart systems. Given that environmental sustainability has become a more significant factor for consumers, this research examines whether consumers' attitudes toward smart home services for efficient energy management differ according to their regulatory focus. Specifically, it is predicted that consumers will have more favorable attitudes toward smart home services for efficient energy management when they are promotion-focused (vs. prevention-focused). The results indicate that respondents with a promotion (vs. prevention) focus reported significantly more favorable attitudes toward smart home services for energy management (e.g., smart cooling/heating system, smart ventilation & air conditioning system, smart thermostats, smart plugs, and smart switches). We suggest that regulatory focus may be an effective marketing and segmentation tool in promoting smart home services for energy management and facilitating their receptiveness to the services.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.105-113
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• 2007

A gene regulatory network is a network of genes representing how genes influence the activities of other genes. Nowadays from microarray experiments, a large number of measurements on the expression levels of genes are available. One of typical data is the so-called "steady-state model" data measuring the expression levels of other genes after knocking out a particular gene. This paper shows how to reverse engineer a parsimonious gene regulatory network, using these measurement data. Our model considers auto-regulation, which forms a cycle in a genetic network. We also model repressor and enhancer roles of genes. which are not considered in previous known methods.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2004.11a
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• pp.39-49
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• 2004

When there is a lack of detailed kinetic information, dFBA(dynamic flux balance analysis) has correctly predicted cellular behavior under given environmental conditions with FBA and different ial equations. However, until now, dFBA has centered on substrate concentration, cell growth, and gene on/off, but a detailed hierarchical structure of a regulatory network has not been taken into account. For this reason, the dFBA has limited the represen tation of interactions between specific regulatory proteins and genes and the whole transcriptional regulation mechanism with environmental change. Moreover, to calculate optimal metabolic flux distribution which maximizes the growth flux and predict the b ehavior of cell system, linear programming package(LINDO) and spreadsheet package(EXCEL) have been used simultaneously. thses two software package have limited in the visual representation of simulation results and it can be difficult for a user to look at the effects of changing inputs to the models. Here, we descirbes the construction of hierarchical regulatory network with defined symbolsand the development of an integrated system that can predict the total control mechanism of regulatory elements (opero ns, genes, effectors, etc.), substrate concentration, growth rate, and optimal flux distribution with time. All programming procedures were accoplished in a visual programming environment (LabVIEW).

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.133-145
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• 2018

This paper proposes a desirable regulatory measure for the rapidly growing shared economic platform. The development and innovation of digital technology is expected to create new services and new economic and industrial values, but it also raises concerns, challenges about social trust issues arising from conflicts of interest with existing industries. Although sharing economies also creates new forms of supply and demand and grows rapidly around the world with innovative trading methods, institutional limitations are still being exposed in the major cities in terms of conflicts with existing industrial values. In order to reduce the social costs associated with the regulatory process and reach the appropriate regulatory policy goal, this paper proposes a co-regulation approach considering the sharing economic characteristics.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.19 no.3
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• pp.233-239
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• 2009

The regulatory recognition, regulatory approval, and observance for employer, inspector, and worker groups were investigated for the Korean measurement system in working environments. The employer, worker, and inspector showed an agreement of 90~97 % for the measurement of working environments. This survey showed that the measurement system of working environments has been settled in Korea. However, this survey showed an agreement of 81~87 % for reporting the results of working environment, involvement of worker representative, improvement of working environment, and holding presentations for working environment measurement. The employer recognized well for the measurement of working environments, involvement of worker representative, improvement of working environment, and holding presentations for working environment measurement, but the employee did not recognize well them as much as the employer did. Thus, the improvements for the recognition for involvement of worker representative, improvement of working environment, and holding presentations for working environment measurement by the employee are needed.

• Interdisciplinary Bio Central
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• v.3 no.2
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• pp.8.1-8.6
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• 2011

Background: Thanks to the development of the mathematical/statistical reverse engineering and the high-throughput measuring biotechnology, lots of biologically meaningful genegene interaction networks have been revealed. Steady-state analysis of these systems provides an important clue to understand and to predict the systematic behaviours of the biological system. However, modeling such a complex and large-scale system is one of the challenging difficulties in systems biology. Results: We introduce a new stochastic modeling approach that can describe gene regulatory mechanisms by dividing two (DNA and protein) layers. Simple queuing system is employed to explain the DNA layer and the protein layer is modeled using G-networks which enable us to account for the post-translational protein interactions. Our method is applied to a transcription repression system and an active protein degradation system. The steady-state results suggest that the active protein degradation system is more sensitive but the transcription repression system might be more reliable than the transcription repression system. Conclusions: Our two layer stochastic model successfully describes the long-run behaviour of gene regulatory networks which consist of various mRNA/protein processes. The analytic solution of the G-networks enables us to extend our model to a large-scale system. A more reliable modeling approach could be achieved by cooperating with a real experimental study in synthetic biology.

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.4
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• pp.500-508
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• 2011

Forty-four Gansu Alpine Fine-wool lambs were used to study changes in the activities of three gastric and five pancreatic enzymes under grazing conditions between 0 and 56 days of age. The lambs were slaughtered on days 0, 3, 7, 14, 21, 28, 42 and 56, the abomasal contents, mucosa and pancreas were immediately removed and placed into liquid nitrogen and enzyme activities were determined. Gastric enzyme (chymosin, pepsin and pregastrc esterase) activities were relatively high at birth, especially chymosin, but decreased quickly between day 0 and 21. The activity of pepsin changed insignificantly with increasing age. There was no significant change in the pancreatic enzyme activities (trypsin, chymotrypsin, ${\alpha}$-amylase, lipase and lactase). The activity of trypsin was relatively higher than that of the other pancreatic enzymes, and lactase activity was low. These ontogenic patterns might be under the control of many gut regulatory peptides, the plasma concentrations of which changed simultaneously. Some gastric and pancreatic enzymes were correlated with plasma concentrations of these gut regulatory peptides.

• Proceedings of the Microbiological Society of Korea Conference
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• 2002.10a
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• pp.27-30
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• 2002

Ralstonia eutrupha JMP134 is a well-known soil bacterium which can metabolite diverse aromatic compounds and xenobiotics, such as phenol, 2,4-dichlorophenoxy acetic acid (2, 4-D), and trichloroethylene (TCE), etc. Phenol is degraded through chromosomally encoded phenol degradation pathway. Phenol is first metabolized into catechol by a multicomponent phenol hydroxylase, which is further metabolized to TCA cycle intermediates via a meta-cleavage pathway. The nucleotide sequences of the genes for the phenol hydroxylase have previously been determined, and found to composed of eight genes phlKLMNOPRX in an operon structure. The phlR, whose gene product is a NtrC-like transcriptional activator, was found to be located at the internal region of the structural genes, which is not the case in most bacteria where the regulatory genes lie near the structural genes. In addition to this regulatory gene, we found other regulatory genes, the phlA and phlR2, downstream of the phlX. These genes were found to be overlapped and hence likely to be co-transcribed. The protein similarity analysis has revealed that the PhlA belongs to the GntR family, which are known to be negative regulators, whereas the PhlR2 shares high homology with the NtrC-type family of transcriptional activators like the PhlR. Disruption of the phlA by insertional mutation has led to the constitutive expression of the activity of phenol hydroxylase in JMP134, indicating that PhlA is a negative regulator. Possible regulatory mechanisms of phenol metabolism in R. eutropha JMP134 has been discussed.