• Journal of Korean Academy of Fundamentals of Nursing
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• v.4 no.2
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• pp.175-192
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• 1997

The purpose of this study was to identify the care needs of family-caregivers to the patients with stroke. Subjects were 115 family-caregivers caring for the patients while they were in-patients or out-patients with stroke in two general hospitals and one oriental medicine hospital located in Seoul and Kwang-Ju. The instrument used for this study was made by the researcher on the basis of results of literature review and interviews with family-caregivers, composed of 35 items. Internal validity by calculation of cronbach's alpha with data of respondents was 0.91, which was regarded as high. The Data were analyzed by SAS program, with percentage, mean, t-test, and ANOVA. Factor structures of care needs of family-caregivers were elicited by factor analysis(PCA, Varimax rotation). Datum collection had been from July 1 to August 14, 1997. The results of this study were as follows : 1. The mean score of the sum of the care needs of family-caregivers was 3.96 and the highest-mean item was 'need for immediate care(M=4.77)', and the lowest-mean item was 'need for chaplian's visit (M=2.82)'. 2. Care needs of the family-caregivers were : Need to be informed of the disease, treatment and care ; need of education and assistance related to physical functional level ; need of social support and consultation ; need of management of nursing problem related to immobility ; need of appreciation ; need of the way to communicate with patients ; need of immediate care and help. The highest mean factor was the 'need for immediate care and help(M=4.74)', and the lowest mean factor was the 'need of appreciation(M=3.58)'. 3. The variables influencing the degree of care needs perceived by family-caregivers to the patients with stroke were as follows : There were significant differences between need to be informed of the disease, treatment and care and general characteristic factors, which were family caregiver's sex (p=.0178), caring period(p=.0223) and patient's suffering period(p=.0244). There were significant differences between need of education and assistance related to physical functional level and general characteristic factors, which were patient's paralysis(p=.0177), patient's ADL dependency(p=.0032). There were significant differences between need of social support and consultation and general characteristic factors, which were family caregiver's sex(p=.0055), occupation(p=.0159), religion(p=.0093) and patient's sex(p=.0134). There was significant difference in the degree of need of management of nursing problem related to immobility, according to the patient's ADL dependency(p=.0493). There were significant differences between need of appreciation and general characteristic factors, which were family caregiver's age(p=.0107), sex(p=.0133), and patient's age(p=.0338). There were significant differences between need of the way to communicate with patient and general characteristic factors, which were patient's paralysis(p=.0002) and aphasia(p=.0001). There were significant differences between need of immediate care and help and general characteristic factors, which were family caregiver's caring period(p=.0162) and patient's suffering period(p=.0116). 4. The mean score of patient's ADL dependency was 3. 38 and the highest-mean item was 'ascending and descending stairs(M=4.12)', and the lowest-mean item was 'drinking(M=2.60)'. There was no significant difference in the degrees of care needs related to the patient's ADL dependency. 5. The highest information source of family-caregivers was from the doctors about the disease, treatment and care(26.1%). The second highest one was from mass media(20.8%), and the third one was from the nurses. The above findings may be used as the basic data to seek more efficient way of elevating nursing practice and quality for family-caregivers to the patients with stroke.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.163-176
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• 2014

Social media is becoming the platform for users to communicate their activities, status, emotions, and experiences to other people. In recent years, microblogs, such as Twitter, have gained in popularity because of its ease of use, speed, and reach. Compared to a conventional web blog, a microblog lowers users' efforts and investment for content generation by recommending shorter posts. There has been a lot research into capturing the social phenomena and analyzing the chatter of microblogs. However, measuring television ratings has been given little attention so far. Currently, the most common method to measure TV ratings uses an electronic metering device installed in a small number of sampled households. Microblogs allow users to post short messages, share daily updates, and conveniently keep in touch. In a similar way, microblog users are interacting with each other while watching television or movies, or visiting a new place. In order to measure TV ratings, some features are significant during certain hours of the day, or days of the week, whereas these same features are meaningless during other time periods. Thus, the importance of features can change during the day, and a model capturing the time sensitive relevance is required to estimate TV ratings. Therefore, modeling time-related characteristics of features should be a key when measuring the TV ratings through microblogs. We show that capturing time-dependency of features in measuring TV ratings is vitally necessary for improving their accuracy. To explore the relationship between the content of microblogs and TV ratings, we collected Twitter data using the Get Search component of the Twitter REST API from January 2013 to October 2013. There are about 300 thousand posts in our data set for the experiment. After excluding data such as adverting or promoted tweets, we selected 149 thousand tweets for analysis. The number of tweets reaches its maximum level on the broadcasting day and increases rapidly around the broadcasting time. This result is stems from the characteristics of the public channel, which broadcasts the program at the predetermined time. From our analysis, we find that count-based features such as the number of tweets or retweets have a low correlation with TV ratings. This result implies that a simple tweet rate does not reflect the satisfaction or response to the TV programs. Content-based features extracted from the content of tweets have a relatively high correlation with TV ratings. Further, some emoticons or newly coined words that are not tagged in the morpheme extraction process have a strong relationship with TV ratings. We find that there is a time-dependency in the correlation of features between the before and after broadcasting time. Since the TV program is broadcast at the predetermined time regularly, users post tweets expressing their expectation for the program or disappointment over not being able to watch the program. The highly correlated features before the broadcast are different from the features after broadcasting. This result explains that the relevance of words with TV programs can change according to the time of the tweets. Among the 336 words that fulfill the minimum requirements for candidate features, 145 words have the highest correlation before the broadcasting time, whereas 68 words reach the highest correlation after broadcasting. Interestingly, some words that express the impossibility of watching the program show a high relevance, despite containing a negative meaning. Understanding the time-dependency of features can be helpful in improving the accuracy of TV ratings measurement. This research contributes a basis to estimate the response to or satisfaction with the broadcasted programs using the time dependency of words in Twitter chatter. More research is needed to refine the methodology for predicting or measuring TV ratings.

• The KIPS Transactions:PartB
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• v.15B no.6
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• pp.575-584
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• 2008

According to the network condition, the communication network overload could be occurred when media transmitting. Many researches are being carried out to lessen the network overload, such as the filtering, load distributing, frame dropping and many other methods. Among these methods, one of effective method is frame dropping that reduces specified video frames for bandwidth diminution. B frames are dropped and then I, P frames are dropped according to dependency among the frames in frame dropping. This paper proposes a scheme for protecting copyrights by encryption, when we apply frame dropping to reduce bandwidth of media following MPEG-4 file format. We designed two kinds of frame dropping: first one stores and then sends the dropped files and the other drops frames in real-time when transmitting. We designed three kinds of encryption methods in which DES algorithm is used to encrypt MPEG-4 data: macro block encryption in I-VOP, macro block and motion vector encryption in P-VOP, and macro block and motion vector encryption in I, P-VOP. Based on these three methods, we implemented a digital right management solution for MPEG-4 data streaming. We compared the results of dropping, encryption, decryption and quality of video sequences to select an optimal method, and there is no noticeable difference between the video sequences recovered after frame dropping and the ones recovered without frame dropping. The best performance in encryption and decryption of frames was obtained when we apply the macro block and motion vector encryption in I, P-VOP.

• Preventive Nutrition and Food Science
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• v.1 no.2
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• pp.220-226
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• 1996

To investigate the effect of long chain n-3 polyunsaturated fatty acids on breast cancer cell growth, estrogen-dependent MCF-7 human breast cancer cells were cultured serum-free DMEM media containing 0.5$\mu\textrm{g}$/ml of differnet kinds of fatty acids; linoleic acid(LA), arachidonic acid(AA), eicosapentaenoic acid(EPA) and docosahexaenoic acid acid(DHA) and 1, 0.1, 0.2, 0.5and 1.0ng/ml 17$\beta$-estradiol as well as 10$\mu\textrm{g}$/mi insulin and 1.25 mg/ml delipidized bovine serum albumin for 3 days. Cell growth monitored by MTT assay was lower in DHA and EPA treatments as compared to LA treatment, but not with AA treatment. Estrogen concentrations at which cell growth was initially stimulated were 0.1ng/ml for LA and DHA treatments and 0.2ng/ml for EPA and AA treatments, but the degree of stimulation was 25~30% lower in DHA and EPA treatments than in LA treatment. Fatty acid analysis showed that each fatty acid in culture medium was well incoporated into celluar lipid. Protein kinase C activity of cells was most elevated in LA treatment from 2 to 8 hours of culture followed by DHA, EPA, and AA treatments. It is concluded that inhibitions of n-3 DHA and EPA on breast cancer cell growth as compard with n-6 LA is mediated via changes in membrane fatty acid composition reducing estrogen sensitivity and increasing protein kinase C activity.

• Environmental Analysis Health and Toxicology
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• v.30
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• pp.7.1-7.7
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• 2015

Objectives The widely promising applications of graphene nanomaterials raise considerable concerns regarding their environmental and human health risk assessment. The aim of the current study was to evaluate the toxicity profiling of graphene family nanano-materials (GFNs) in alternative in vitro and in vivo toxicity testing models. Methods The GFNs used in this study are graphene nanoplatelets ([GNPs]-pristine, carboxylate [COOH] and amide [$NH_2$]) and graphene oxides (single layer [SLGO] and few layers [FLGO]). The human bronchial epithelial cells (Beas2B cells) as in vitro system and the nematode Caenorhabditis elegans as in vivo system were used to profile the toxicity response of GFNs. Cytotoxicity assays, colony formation assay for cellular toxicity and reproduction potentiality in C. elegans were used as end points to evaluate the GFNs' toxicity. Results In general, GNPs exhibited higher toxicity than GOs in Beas2B cells, and among the GNPs the order of toxicity was pristine > $NH_2$ > COOH. Although the order of toxicity of the GNPs was maintained in C. elegans reproductive toxicity, but GOs were found to be more toxic in the worms than GNPs. In both systems, SLGO exhibited profoundly greater dose dependency than FLGO. The possible reason of their differential toxicity lay in their distinctive physicochemical characteristics and agglomeration behavior in the exposure media. Conclusions The present study revealed that the toxicity of GFNs is dependent on the graphene nanomaterial's physical forms, surface functionalizations, number of layers, dose, time of exposure and obviously, on the alternative model systems used for toxicity assessment.

• Animal cells and systems
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• v.11 no.2
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• pp.175-182
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• 2007

The lysozyme II gene of cabbage butterfly Artogeia rapae was cloned from fat body of the larvae injected with E. coli and its nucleotide sequence was determined by the RACE-PCR. It has an open reading frame of 414 bp nucleotides corresponding to 138 amino acids including a signal sequence of 18 amino acids. The estimated molecular weight and the isoelectric point of the lysozyme II without the signal peptide were 13,649.38 Da and 9.11, respectively. The A. rapae lysozyme II (ARL II) showed the highest identity (81%) in the amino acid sequence to Manduca sexta lysozyme among other lepidopteran species. The two catalytic residues ($Glu^{32}$ and $Asp^{50}$) and the eight Cys residue motifs, which are highly conserved among other c-type lysozymes in invertebrates and vertebrates, are also completely conserved. A phylogenetic analysis based on amino acid sequences indicated that the ARL II was more closely related to M. sexta, Hyphantria cunea, Heliothis virescens, and Trichoplusia ni lysozymes. The ARL II gene was expressed in Spodoptera frugiperda 21 insect cells and the recombinant ARL II (rARL II) was purified from cell-conditioned media by cation exchange column chromatography and reverse phase FPLC. The purified rARL II was able to form a clear zone in lysoplate assay against Micrococcus luteus. The lytic activity was estimated to be 511.41 U/mg, 1.53 times higher than that of the chicken lysozyme. The optimum temperature for the lytic activity of the rARL II was $50^{\circ}C$, the temperature dependency of the absolute lytic activity of rARL II was higher than that of the chicken lysozyme at low temperatures under $65^{\circ}C$.

• The Journal of the Convergence on Culture Technology
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• v.3 no.2
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• pp.43-48
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• 2017

5G will bring revolutionary development in mobile communication, and it is anticipated to have complete commercialization including mass adoption rate by 2020s. High number of smart devices including IoT, wearable devices, etc., which have high amount of data usage, will involve even higher data traffics. In addition, media dependency and demand is rapidly rising. These environmental aspects will necessity and sufficient condition for successful implementation of 5G mobile communication system. In this paper, global cooperation and competition for 5G technology leadership will be analyzed and summarized. Through this, proper solution to maintain competency of Korea in future will be proposed.

• Biotechnology and Bioprocess Engineering:BBE
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• v.10 no.1
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• pp.40-46
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• 2005

Clostridium bifermentans strain DPH-1 has already been found to dechlorinate perchloroethylene (PCE) to cis-dichloroethylene (cis-DCE) via trichloroethylene (TCE). In this study, our investigation on different culture conditions of this DPH-1 strain was extended to find a more efficient and cost effective growth medium composition for this DPH-1 strain in bioremediation practices. Temperature dependency of strain DPH-1 showed that the growth starting time and PCE degradation at $15^{\circ}C$ was very slow compared to that of $30^{\circ}C$, but complete PCE degradation occurred in both cases. For the proper utilization of strain DPH-1 in more cost effective bioremediation practices, a simpler composition of an effective media was studied. One component of the culture medium, yeast extract, had been substituted by molasses, which served as a good source of electron donor. The DPH-1 strain in the medium containing molasses, in the presence of $K_{2}HPO_4\;and\;KH_{2}PO_4$, showed identical bacterial multiplication (0.135 mg protein $mL^{-1}h^{-1}$) and PCE degradation rates ($0.38\;{\mu}M/h$) to those of the yeast extract containing medium.

• Journal of Broadcast Engineering
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• v.19 no.1
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• pp.64-74
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• 2014

The primary and ambient signal decomposition of a stereo sound is a key step to the stereo upmix. The principal component analysis (PCA) is one of the most widely used methods of primary-ambient signal decomposition. However, previous PCA-based decomposition algorithms assume that stereo sound sources are only amplitude-panned without any consideration of phase difference. So it occurs some performance degradation in case of live recorded stereo sound. In this paper, we propose a new PCA-based stereo decomposition algorithm that can consider the phase difference between the channel signals. The proposed algorithm overcomes limitation of conventional signal model using PCA with phase alignment. The phase alignment is realized by using inter-channel phase difference (IPD) which is widely used in parametric stereo coding. Moreover, Enhanced Modified PCA(EMPCA) is combined to solve the problem of conventional PCA caused by Primary to Ambient energy Ratio(PAR) and panning angle dependency. The simulation results are presented to show the improvements of the proposed algorithm.

• Journal of Preventive Medicine and Public Health
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• v.53 no.2
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• pp.126-134
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• 2020

Objectives: Cancer diagnoses have a tremendous impact on individuals and communities, drawing intense public concern. The objective of the current research was to examine news coverage and content related to cancer-related issues in Korean newspapers. Methods: Primarily using the database system of the Korea Press Foundation, we conducted a content analysis of 2806 articles from 9 Korean daily newspapers during a recent 3-year period from 2015 to 2017. Thematic categories, the types of articles, attitudes and tone, and the number of sources in each article were coded and classified. Results: Many news articles dealt with a diverse range of themes related to cancer, including general healthcare information, the latest research and development, specific medical institutions and personnel, and technology and products, which jointly accounted for 74.8% of all articles. Those thematic categories differed markedly in terms of article type, tone, and the number of cited sources. News articles provided extensive information about healthcare resources, and many articles seemed to contain advertising content. However, the content related to complex social issues such as National Health Insurance did not include enough information for the reader to contextualize the issues properly or present the issues systematically. Conclusions: It can be assumed that the media exert differential influence on individuals through news coverage. Within the present reporting framework, the availability and usefulness of information are likely to depend solely on individuals' capabilities, such as financial and health literacy; this dependency has a negative impact on knowledge gaps and health inequities.