• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.19-24
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• 2020

In the present study, using biological information of bacteria and biochemical information of chlorine dioxide gas, Gram-positive bacteria, e.g., Alloiococcus otitis, Erysipelothrix rhusiopathiae, Staphylococcus caprae, Staphylococcus lentus, and gram-negative bacteria, e.g., Acinetobacter baumannii complex, Aeromonas salmonicida, Brucella melitensis, Oligella ureolytica were used whether a plastic kit to release ClO₂ gas could inhibit their growth. Overall, chlorine dioxide gas showed about 99% inhibition of bacterial growth, with less than 10 CFU. However, it was found that Gram positive Alloiococcus otitis and Gram negative Aeromonas salmonicida had more than about 50 CFU. When comparing the results of experiments with several bacteria, it suggested that the concentration of chlorine dioxide gas would be at least 10 ppm to 400 ppm for the bacterial inhibition. The results of this study could be used as basic data to evaluate the clinical usefulness of chlorine dioxide gas. If this study helps with prior knowledge to help clinicians to recognize and prevent the presence of micro-organisms that cause infections in hospitals, it would be helpful for activities such as patient care as a convergence field. In the future, it is considered that the research results will be the basis for rapidly inhibiting the microbes infected with patients by utilizing data of the information of the microbes that are inhibited for chlorine dioxide gas.

• The KIPS Transactions:PartD
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• v.15D no.6
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• pp.767-776
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• 2008

Microarray technology is extensively being used in experimental molecular biology field. Microarray experiments generate quantitative expression measurements for thousands of genes simultaneously, which is useful for the phenotype classification of many diseases. One of the two major problems in microarray data classification is that the number of genes exceeds the number of tissue samples. The other problem is that current methods generate classifiers that are accurate but difficult to interpret. Our paper addresses these two problems. We performed a direct integration of individual microarrays with same biological objectives by transforming an expression value into a rank value within a sample and generated rank-comparison decision rules with variable number of genes for cancer classification. Our classifier is an ensemble method which has k top scoring decision rules. Each rule contains a number of genes, a relationship among involved genes, and a class label. Current classifiers which are also ensemble methods consist of k top scoring decision rules. However these classifiers fix the number of genes in each rule as a pair or a triple. In this paper we generalized the number of genes involved in each rule. The number of genes in each rule is in the range of 2 to N respectively. Generalizing the number of genes increases the robustness and the reliability of the classifier for the class prediction of an independent sample. Also our classifier is readily interpretable, accurate with small number of genes, and shed a possibility of the use in a clinical setting.

• Progress in Medical Physics
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• v.13 no.1
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• pp.1-8
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• 2002

Accurate knowledge of the distribution of contamination electrons ( which comes from mainly gantry head by Compton scattering, pair production, and tray: henceforth called leptons ) at the surface and in the first centimeters of tissue is essential for the clinical practice of radiation oncology. Such lepton tends to reduce or eliminate the ‘skin-sparing’ advantage of megavoltage photon beam radiotherapy, This information is needed to prescribe a absorbed dose to a skin volume at a few millimeter depth in high energy therapeutic radiation photon beam All experiments were done with 15 MV photon beam from a dual energy linear accelerator (Clinac 1800, Varian). Field size is defined by ranged from 10.0$\times$10.0 to 30.0$\times$30.0 $\textrm{cm}^2$. The absorbed dose and distribution of leptons in therapeutic radiation beam (15 MV) are investigated by means of variable blocked beams of 30.0$\times$30.0 $\textrm{cm}^2$ and dose beam profiles partly removed leptons with a copper plate. A numerous leptons mainly are distributed as shape of broad cone in the central photon beam and leptons path length in the water are shorter than 2.5 cm because of the leptons energy having around 3.0 MeV. These results clearly appears that the subtraction of leptons from the total depth dose curve not only lower the absolute dose in the buildup region and surface dose, it also causes a shift of d$_{max}$ to a deeper depth.

• Investigative Magnetic Resonance Imaging
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• v.20 no.2
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• pp.105-113
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• 2016

Purpose: Susceptibility vessel sign (SVS) on gradient echo image, which is caused by MR signal loss due to arterial thrombosis, has been reported in acute middle cerebral artery (MCA) infarction. However, the reported sensitivity and diagnostic accuracy of SVS have been variable. Susceptibility-weighted imaging (SWI) is a newly developed MR sequence. Recent studies have found that SWI may be useful in the field of cerebrovascular diseases, especially for detecting the presence of prominent veins, microbleeds and the SVS. The purpose of this study was to evaluate the diagnostic values of SWI for the detection of hyperacute MCA occlusion. Materials and Methods: Sixty-nine patients (37 males, 32 females; 46-89 years old [mean, 69.1]) with acute stroke involving the MCA territory underwent MR imaging within 6 hours after the symptom onset. MR examination included T2, FLAIR (fluid-attenuated inversion recovery), DWI, SWI, PWI (perfusion-weighted imaging), contrast-enhanced MR angiography (MRA) and contrast-enhanced T1. Of these patients, 28 patients also underwent digital subtraction angiography (DSA) within 2 hours after MR examination. Presence or absence of SVS on SWI was assessed without knowledge of clinical, DSA and other MR imaging findings. Results: On MRA or DSA, 34 patients (49.3%) showed MCA occlusion. Of these patients, SVS was detected in 30 (88.2%) on SWI. The sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of SWI were 88.2%, 97.1%, 96.8%, 89.5% and 92.8%, respectively. Conclusion: SWI was sensitive, specific and accurate for the detection of hyperacute MCA occlusion.

• Journal of agricultural medicine and community health
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• v.38 no.1
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• pp.25-38
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• 2013

Objectives: The aim of this study is to analyze the utilization behaviour and influencing factors of complementary and alternative medicine (CAM) therapies among elderly people with chronic diseases. Methods: The study population was selected among 9 welfare facilities for the aged in 2 cities among Daegu Metropolitan City & Gyeongsangnam Province by two-stage cluster sampling. 250 senior citizens participated in a face-to-face interview using a structured questionnaire. Logistic regression analysis was performed to examine the association between the utilization of CAM therapies and various characteristics of the elderly. All statistics were analyzed using the PASW (ver 18.0). Results: Among 233 elderly peoples, 70.4% (164 persons) had used various kinds of CAM therapies (including nutritional methods, pharmacologic and biologic treatments, etc.) more than once during the last year. 48.8% (64 persons) ~ 60.7% (88 persons) of the elderly used CAM therapies without health and medical experts' counsel. The elderly with perceptions of CAM therapy used it 2 times more than those without knowledge of CAM therapies. The number of chronic diseases was more likely to increase the usage of nutritional methods (OR=2.92, 95% CI: 1.07-7.97), manipulative and body-based practices (OR=5.85, 95% CI: 1.97-17.34), pharmacologic and biologic treatments (OR=2.92, 95% CI: 1.49-8.17). Elderly with diabetes used nutritional methods 3.76 (95% CI: 1.49-9.47) more than elderly without diabetes. Conclusions: CAM therapies use in the aged with chronic diseases appears common. The findings suggest that the clinical efficacy and safety of CAM therapies on medical management of chronic disease may be investigated and that patient-physician communication need to be strengthened.

• Journal of Science and Technology Studies
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• v.11 no.1
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• pp.89-121
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• 2011

The majority of previous researchers on body management practices including plastic surgery has agreed that there is a strong connection between social demands of plastic surgery and public exposures of beautiful body-images, which this research intends to analyze further. This study, on the one hand, discovers how body-images are produced and consumed through clinical practices of plastic surgery, particularly, surgeon-patient consultation processes based on the researcher's participant observation on a plastic surgery clinic in Korea, and shows how visualization technologies are mobilized to reconstruct not only boundaries of patients' bodies but also those of medical disciplines by viewing plastic surgery practices as knowledge production activities, on the other hand. While revealing that surgeon-patient consultation is the process to transform patient's bodies to "scientific" objects and visualization technologies have been made to help plastic surgeons to make their disciplines "scientific" ones, this article also pays attention to complicated effects of new imaging technology beyond a mere means of "scientification" of plastic surgery.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.197-207
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• 2010

Using a variety of data-mining methods on high-throughput cDNA microarray data, the level of gene expression in two different tissues can be compared, and DEG(Differentially Expressed Gene) genes in between normal cell and tumor cell can be detected. Diagnosis can be made with these genes, and also treatment strategy can be determined according to the cancer stages. Existing cancer classification methods using machine learning select the marker genes which are differential expressed in normal and tumor samples, and build a classifier using those marker genes. However, in addition to the differences in gene expression levels, the difference in gene-gene correlations between two conditions could be a good marker in disease diagnosis. In this study, we identify gene pairs with a big correlation difference in two sets of samples, build gene classification modules using these gene pairs. This cancer classification method using gene modules achieves higher accuracy than current methods. The implementing clinical kit can be considered since the number of genes in classification module is small. For future study, Authors plan to identify novel cancer-related genes with functionality analysis on the genes in a classification module through GO(Gene Ontology) enrichment validation, and to extend the classification module into gene regulatory networks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.231-239
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• 2017

This study was conducted to provide basic data about the depression of parents with school-aged children by identifying the actor and partner effects of family interaction and self-esteem on depression among parents with school-aged children. Data on 1,475 pairs from the Wave 7 Panel Study on Korean Children were analyzed by using the SPSS 18.0 program and the AMOS 18.0 program. From the analysis of a hypothetical model, parents' family interaction exerted an actor effect on self-esteem. Mother's family interaction and self-esteem exerted an actor effect on depression; however, the partner effect on father's depression was not statistically significant. Father's family interaction and self-esteem exerted an actor effect on depression; however, the partner effect of father's family interaction on mother's depression was not statistically significant, and only father's self-esteem exerted a partner effect on mother's depression. The study results are as follows. First, the affecting factors of depression in school-aged parents, which are directly related to the depression of the child, were identified and the basic data of nursing intervention for the parents'. It is expected that clinical nurses will be used as data to convey professional knowledge to control parents' depression.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1799-1808
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• 2010

Recently the increasing collaborative research requires the remote medical and clinical data sharing and access of external institutions. In this paper, an interoperability framework between Grid and PACS using Web services is proposed and implemented in order to provide flexible and efficient medical data management. The Digital Imaging and Communications in Medicine(DICOM) standard defines medical image data exchange and transfer between PACSs and image databases. However, medical data exchange between hospitals is limited within the trusted and static environments. Moreover, DICOM does not provide medical data management and the Grid middleware does not include standard toolkit to access DICOM data. To address this issue, a Web services-based Grid Service Mediator (WGSM) which provides PACS integration and medical image data management is developed. The WGSM consists of several service mediators such as compress mediator, GridFTP mediator, RFT mediator, MyProxy mediator, MDS mediator, and RLS mediator and others. The proposed Web services-based framework provides user authentication and secure data access between PACSs in collaborative environments. In particular, the WGSM allows ordinary users to access remote PACS data in a simple and efficient manner without any the knowledge about underlying Grid middleware.

• The Journal of Korean Physical Therapy
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• v.15 no.1
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• pp.82-95
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• 2003

Our health is intimately connected to the health of our environment. The contemporary world view which sees a radical distinction between humans as subjects and world as object can obscure our recognition of how much we rely on nature for health and survival. Indigenous traditions and contemporary scholars remind us that we live in a universe in which all things are connected, and in which nature continues to offer its gifts in co-creative partnership for the health and wellbeing of all. Living in awareness of our relationship with nature enables us to open more to the experience of nature's nurturing. Many complementary therapies derive from ancient practices that involve nature in healing partnership. Essential oils have been used for thousands of years. Hippocrates claimed that the way to health was through aromatic baths and massages. Much anecdotal evidence exists regarding aromatherapeutic positive effects on recipients. Aromatherapy is a branch of complementary or alternative therapy which is increasing in popularity, yet has scant scientific credibility. Aromatherapy should be defined as treatment using odors and practised as such. However, essential oils are usually used in conjunction with therapeutic massage and often combined with counselling of some kind. Aromatherapy complements and enhances the therapeutic powers of massage. Massage is one of the most wonderful ways to relax and is throughly beneficial to health. Massage can help unknot tense and aching muscles and other minor symptoms of stress, leaving patients fresh and energized. As the use of aromatherapy within a health care setting has grown so rapidly in recent years, and will continue to do so, the need for suitable training has become apparent. No health service can afford the risk of having staff who are inadequately trained in the practice of aromatherapy using essential oils incorrectly on those in a state of ill-health, especially if the essential oils used are not to a standard suitable for therapeutic use. Training to an acceptable level in aromatic therapy is essential for safety and effectiveness. Knowledge of the nature and make-up of essential oils, their effect on the body and the emotions, and how, when, and where to apply them is imperative in order for them to be beneficial to a patient's health. In order to achieve best practice, further research is necessary to explore the use of aromatherapy in the management of multiple disorder.