• 대한간호학회지
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• 제49권2호
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• pp.149-160
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• 2019

Purpose: The purpose of this study was to examine the effects of oral cryotherapy on oral mucositis, reactive oxygen series, inflammatory cytokines, and oral comfort in patients undergoing chemotherapy for gynecologic cancers. Methods: Participants were randomly assigned to the experimental group (n=25, receiving oral cryotherapy during chemotherapy) and the control group (n=25, receiving the usual care consisting of 0.9% normal saline gargles three times before meals). Oral mucositis was assessed using the oral assessment guide, while oral comfort was assessed using the oral perception guide. Reactive oxygen series was measured as total oxidant stress, and the level of two inflammatory markers, interleukin-6 (IL-6) and tumor necrosis factor-alpha ($TNF-{\alpha}$), were examined. The data were analyzed using t-test, chi-square test, Fisher's exact test, Mann-Whitney U-test, and repeated measures analysis of variance. Results: There was a significant difference in the oral mucositis score, reactive oxygen series score, $TNF-{\alpha}$ level, and oral comfort score between the two groups, and there were significant changes over time and in the group-by-time interactions. There was a significant difference in the IL-6 score between the two groups, but there were no significant changes over time or in the group-by-time interactions. Conclusion: The study results revealed that oral cryotherapy was more effective than the usual care regime of normal saline gargles for reducing oral mucositis, reactive oxygen series, and inflammatory cytokines and for improving oral comfort in gynecologic cancer patients undergoing chemotherapy.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제8권4호
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• pp.87-92
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• 2019

본 연구에서는 머신 러닝 기법을 활용하여 공장에서 발생하는 에너지 사용량에 대한 데이터 분석 및 패턴 추출에 대해 다룬다. 통계학이나 기존의 방법들은 몇 가지 물리적 특성을 반영하는 수학적 모델을 구축하는 반면, 머신 러닝을 통한 접근방법은 데이터 학습을 통하여 모델의 계수들을 결정하게 된다. 기존의 방법들은 특정한 구조를 갖는 수학적 모델을 구축해야 한다는 어려움이 있으며 과연 데이터의 특징들을 잘 반영하는지에 대한 의문이 존재했다. 그러나 머신 러닝을 통한 방법은 사람이 구축하기 어려운 작업들을 용이하게 구축한다는 장점을 가지고 있기 때문에 데이터 간의 관계를 파악하기에 더 효율적이라는 장점을 가지고 있다. 공장의 에너지 소비에 직접적으로 영향을 끼치는 요소들이 존재하며 이러한 전력 소비는 시간에 따른 데이터로 나타나게 된다. 각 요소들로부터 발생하는 소비 전력을 계측하고 데이터 베이스를 구축하기 위해 각 요소에 센서를 장착하였다. 취득된 데이터에 대해 전처리 과정 및 통계적인 분석을 거친 뒤, 머신 러닝을 통해 패턴을 분석하는 과정을 거쳤다. 이를 통해 공장에서 발생하는 소비 전력 데이터에 대한 패턴 분석을 진행하였다.

• Tuberculosis and Respiratory Diseases
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• 제82권2호
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• pp.126-132
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• 2019

Background: The development of lung cancer results from the interaction between genetic mutations and dynamic epigenetic alterations, although the exact mechanisms are not completely understood. Changes in DNA methylation may be a promising biomarker for early detection and prognosis of lung cancer. We evaluated the serial changes in genome-wide DNA methylation patterns in blood samples of lung cancer patients. Methods: Blood samples were obtained for three consecutive years from three patients (2 years before, 1 year before, and after lung cancer detection) and from three control subjects (without lung cancer). We used the MethylationEPIC BeadChip method, which covers the 850,000 bp cytosine-phosphate-guanine (CpG) site, to conduct an epigenome-wide analysis. Significant differentially methylated regions (DMRs) were identified using p-values <0.05 in a correlation test identifying serial methylation changes and serial increase or decrease in ${\beta}$ value above 0.1 for three consecutive years. Results: We found three significant CpG sites with differentially methylated ${\beta}$ values and 7,105 CpG sites with significant correlation from control patients without lung cancer. However, there were no significant DMRs. In contrast, we found 11 significant CpG sites with differentially methylated ${\beta}$ values and 10,562 CpG sites with significant correlation from patients with lung cancer. There were two significant DMRs: cg21126229 (RNF212) and cg27098574 (BCAR1). Conclusion: This study revealed DNA methylation changes that might be implicated in lung cancer development. The DNA methylation changes may be the possible candidate target regions for the early detection and prevention of lung cancer.

• Journal of Ginseng Research
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• 제43권4호
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• pp.539-549
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• 2019

Background: 20(S)-Protopanaxadiol (PPD), the aglycone part of 20(S)-protopanaxadiol ginsenosides, possesses antidepressant activity among many other pharmacological activities. It is currently undergoing clinical trial in China as an antidepressant. Methods: In this study, an ultra-performance liquid chromatography coupled with triple quadrupole time-of-flight mass tandem mass spectrometry method was established to identify the metabolites of PPD in human plasma and urine following oral administration in phase IIa clinical trial. Results: A total of 40 metabolites in human plasma and urine were identified using this method. Four metabolites identified were isolated from rat feces, and two of them were analyzed by NMR to elucidate the exact structures. The structures of isolated compounds were confirmed as (20S,24S)-epoxydammarane-12,23,25-triol-3-one and (20S,24S)-epoxydammarane-3,12,23,25-tetrol. Both compounds were found as metabolites in human for the first time. Upon comparing our findings with the findings of the in vitro study of PPD metabolism in human liver microsomes and human hepatocytes, metabolites with m/z 475.3783 and phase II metabolites were not found in our study whereas metabolites with m/z 505.3530, 523.3641, and 525.3788 were exclusively detected in our experiments. Conclusion: The metabolites identified using ultra-performance liquid chromatography coupled with triple quadrupole time-of-flight mass spectrometry in our study were mostly hydroxylated metabolites. This indicated that PPD was metabolized in human body mainly through phase I hepatic metabolism. The main metabolites are in 20,24-oxide form with multiple hydroxylation sites. Finally, the metabolic pathways of PPD in vivo (human) were proposed based on structural analysis.

• 지역사회간호학회지
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• 제32권1호
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• pp.51-63
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• 2021

Purpose: This study aimed to develop an integrated health promotion program for cancer survivors residing in the community based on the shared care model, and evaluate its effectiveness. Methods: A quasi-experimental trial was conducted. The participants consisted of 35 cancer survivors with completed intensive cancer therapy at the cancer hospital. The intervention group (n=20) and the control group (n=15) were recruited from among a district home cancer patient registrations. The intervention group participated in an integrated health promotion program based on the MAPP (Mobilizing for Action through Planning and Partnership) development process. The program consisted of physical, psycho-social and body image units. The participants were assessed before the program, and immediately after the program. Data were collected between July 1 and September 2, 2018 using FACT-G quality of life (QOL), distress thermometer (DT), and resilience. The data were analyzed by performing a χ2 test, Fisher's exact test, Mann-Whitney test, and ranked ANCOVA using SPSS. Results: The intervention group reported a higher QOL overall and significantly higher social/family well-being than the control group. Distress was significantly lower in intervention group than in the control group. Resilience had no significant difference between the two groups. Conclusion: These findings indicate that the integrated health promotion program base on the shared care model and MAPP development process could be effective intervention for improving social/family well-being and the QOL, and reducing distress of cancer survivors at home. Community health center nurses need to provide intervention to support self-care competency for cancer survivors' comprehensive care with physical, psycho-social, and body image to help them adjust their life to a moderate risk group in the community.

• Imaging Science in Dentistry
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• 제50권4호
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• pp.281-290
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• 2020

Purpose: The objective of the present study was to evaluate the prevalence of dental implants positioning errors and their associations with adjacent structures and anatomical variations by means of cone-beam computed tomography (CBCT). Materials and Methods: CBCT images of 207 patients (584 dental implants) were evaluated by 2 oral radiologists. The distance between the implant and the adjacent teeth/implants was measured and classified as adequate (≥1.5 mm and ≥3 mm, respectively) or inadequate. The presence of thread exposure, cortical perforation, implant dehiscence, implant penetration into adjacent structures, and anatomical variations was also recorded. The incisor canal diameter and the depth of the concavity of the submandibular fossa were measured in order to evaluate their correlations with the frequency of implant penetration in these structures. Descriptive analyses, the Fisher exact test, and Spearman correlation analysis were performed (α=0.05). Results: The overall prevalence of positioning errors was 82.9%. The most common error was the inadequate distance between the implant and the adjacent teeth/implants. The presence of anatomical variations did not significantly influence the overall prevalence of errors (P>0.05). There was a positive correlation between the diameter of the incisor canal and the frequency of implant penetration in this structure (r=0.232, P<0.05). Conclusion: There was a high prevalence of dental implant positioning errors, and positioning errors were not associated with the presence of anatomical variations. Professionals should be aware of the space available for implant placement during the preoperative planning stage.

• 한국전산구조공학회논문집
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• 제34권1호
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• pp.1-8
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• 2021

플랜트 증기운 폭발은 TNT 폭발물에 의한 폭발과는 다른 특징이 있으며 압력파 양상과 비슷하다. 대표적인 유형의 폭압 산정법은 TNT 등가량 환산법과 멀티에너지법이 있다. TNT 등가량 환산법은 폭굉과 같은 충격파를 전제로 하며, 멀티에너지법은 폭연과 같은 압력파를 전제로 한다. 본 연구는 세 가지 플랜트 폭발 사례를 적용하여 플랜트 증기운 폭발의 적절한 폭압을 도출하기 위한 연구를 수행하였다. 폭발 사례에 대하여 피해를 입은 부재를 선정한 후, 단자유도 해석과 비선형 동적 해석을 수행하여 변형과 손상 정도를 비교분석하였다. 구조물의 피해 정도는 TNT 등가량 환산법보다는 멀티에너지법에 의한 폭압을 사용한 경우가 실제 상황에 더욱 근접한 것으로 나타났다. 또한, 멀티에너지법의 폭발강도계수를 7 또는 8로 가정할 경우 증기운 폭발의 폭압 모델을 비교적 정확하게 산정할 수 있을 것으로 판단된다.

• Imaging Science in Dentistry
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• 제50권4호
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• pp.291-298
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• 2020

Purpose: The detection and exact localization of penetrating foreign bodies are crucial for the appropriate management of patients with dentoalveolar trauma. This study compared the efficacy of cone-beam computed tomography (CBCT) and spiral computed tomography (CT) scans for the detection of different foreign bodies composed of 5 frequently encountered materials in 2 sizes. The effect of the location of the foreign bodies on their visibility was also analyzed. Materials and Methods: In this in vitro study, metal, tooth, stone, glass, and plastic particles measuring 1×1×1 mm and 2×2×2 mm were prepared. They were implanted in a sheep's head in the tongue muscle, nasal cavity, and at the interface of the mandibular cortex and soft tissue. CBCT and spiral CT scans were taken and the visibility of foreign bodies was scored by 4 skilled maxillofacial radiologists who were blinded to the location and number of foreign bodies. Results: CT and CBCT were equally accurate in visualizing metal, stone, and tooth particles of both sizes. However, CBCT was better for detecting glass particles in the periosteum. Although both imaging modalities visualized plastic particles poorly, CT was slightly better for detecting plastic particles, especially the smaller ones. Conclusion: Considering the lower patient radiation dose and cost, CBCT can be used with almost equal accuracy as CT for detecting foreign bodies of different compositions and sizes in multiple maxillofacial regions. However, CT performed better for detecting plastic particles.

• 한국정보통신학회논문지
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• 제24권2호
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• pp.212-218
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• 2020

흉부 영상을 통해 진단 가능한 병변은 무기폐, 심비대, 덩어리, 기흉, 삼출 등 그 종류가 수십 가지에 이른다. 흉부 병변의 정확한 진단과 위치 및 크기를 판단하기 위해 일반적으로 전산화단층촬영(CT) 검사가 필요하지만, 전산화단층촬영은 검사 비용과 방사선 피폭 등의 단점이 있다. 따라서 본 논문에서는 흉부 병변 진단의 일차적 선별도구로서 방사선검사(X-ray) 영상에서 병변 유무 판단을 위한 딥러닝 알고리즘을 제안한다. 제안하는 알고리즘은 병변의 유무 판단에 최적화하기 위해 다양한 구성 방법들을 비교하여 설계하였다. 실험 결과, 기존 알고리즘보다 병변 유무 판단률이 약 1% 정도 향상되었다.

• Journal of Korean Biological Nursing Science
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• 제23권1호
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• pp.11-21
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• 2021

Purpose: The aim of this study was to examine the nutritional intake status of the lung cancer patients who underwent pulmonary resection and to analyze the relationship between the status of the nutritional intake and the occurrence of postoperative pulmonary complications. Methods: This study was a secondary analysis to determine whether the changes in the nutritional intake after surgery were related to pulmonary complications. Data of a total of 89 patients were included in the analysis and the nutritional intake status was confirmed using a 24-hour dietary recall method. The data were analyzed by descriptive statistics, chi-square or Fisher's exact test, and ANOVA using the SPSS WIN 26.0 program and word clouds were generated using the R software program. Results: Overall, a decrease in the postoperative nutritional intake was observed in the patients who underwent pulmonary resection, except for the intake of fat. The pulmonary complications were identified to be associated with BMI and the presence of comorbidity. Twenty-three out of 74 patients with vitamin E levels below the Estimated Average Requirements developed pulmonary complications after surgery. Conclusion: Lung cancer patients who underwent pulmonary resection generally have difficulty in acquiring appropriate nutritional intake and need balanced nutritional management. Future investigations on the impact of increased vitamin E intake on postoperative pulmonary complications may provide better insight into the relationship between vitamin E intake and pulmonary complication among patients who underwent pulmonary resection.