• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.24 no.2
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• pp.17-27
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• 2018

Background: This study investigated the effects of pelvic floor stabilization exercise of pain, disfunction, psychosocial, electromyography (EMG) activity on the lower back pain with postpartum. Methods: The study included 20 postpartum women who were randomly assigned to a sling exercise group (SEG, n=10) or a general physical therapy group (GPTG, n=10). Outcomes were assessed using to lower back pain with postpartum the quadruple visual analogue scale (QVAS), the Korean version of the Oswestry disability index (KODI), the fear avoidance belief questionnaire (FABQ), the inventory of functional status after childbirth (IFSAC), the edinburgh postnatal depression scale-Korean (EPDS-K), and trunk muscle activity before and after a 4-week exercise intervention. Statistical analysis were performed using a mean, standard deviation, crosstab test, paired t-test, independent t-test. Kolmogorove-Smirnov test was used for test of normality. Results: Compared to the GPTG, the SEG showed significant improvement in the QVAS, KODI, FABQ, IFSAC, and EPDK-K scores (p<.05) after 4 weeks. Conclusion: Postpartum pelvic strengthening exercise proved to have a positive effect.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.143-148
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• 2022

Brain tumor classification is an important process that allows doctors to plan treatment for patients based on the stages of the tumor. To improve classification performance, various CNN-based architectures are used for brain tumor classification. Existing methods for brain tumor segmentation suffer from overfitting and poor efficiency when dealing with large datasets. The enhanced CNN architecture proposed in this study is based on U-Net for brain tumor segmentation, RefineNet for pattern analysis, and SegNet architecture for brain tumor classification. The brain tumor benchmark dataset was used to evaluate the enhanced CNN model's efficiency. Based on the local and context information of the MRI image, the U-Net provides good segmentation. SegNet selects the most important features for classification while also reducing the trainable parameters. In the classification of brain tumors, the enhanced CNN method outperforms the existing methods. The enhanced CNN model has an accuracy of 96.85 percent, while the existing CNN with transfer learning has an accuracy of 94.82 percent.

• Biomedical Science Letters
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• v.16 no.2
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• pp.75-82
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• 2010

The molecular epidemiological characteristics of methicillin-resistant Staphylococcus aureus (MRSA) isolates have demonstrated their genetic diversity and evolution. A total of 137 strains of MRSA clinical isolates was collected from Korean healthcare facility in 2007. The MRSA clinical isolates were analyzed by molecular typings (SCCmec element and agr locus typing), virule nce factor gene detections {(Panton-Valentine leukocidin (PVL), enterotoxin, exfoliative toxin and toxic shock syndrome toxin-1), and amplified fragment length polymorphism (AFLP)}. The MRSA clinical isolates were classified as SCCmec type II-agr type 1 (2 strains), type II-agr type 2 (79 strains), type III-agr type 1 (24 strains), type III-agr type 2 (2 strains), type IV-agr type 1 (27 strains), type IV-agr type 2 (2 strains), and non-typable (1 strain, agr type 3). Based on SCCmec types, SCCmec type II (95.1%) and III (88.5%) indicated higher multidrug resistance rate than SCCmec type IV (10.3%) (P<0.001). The most common enterotoxin genes were seg (83.8%), sei (83.1%), and sec (80.2%). The tst gene was present in 86 out of 137 (62.8%) MRSA isolates. All MRSA isolates were negative for PVL and exfoliative toxin genes. The combinations of toxin genes were observed in particular SCCmec types; 97.6% of SCCmec type II strains carried sec, seg, sei and tst genes, 73.0% of SCCmec type III strains carried sea gene, and 89.7% of SCCmec type IV strains carried sec, seg and sei genes. Each of the SCCmec types of MRSA isolates had distinct AFLP profile. In conclusion, SCCmec type II, agr type 1 and 2 have demonstrated to be the most common types in Korea, and the results indicated that the virulence factors are closely associated with their molecular types (SCCmec and agr types).

• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.157-165
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• 2022

The purpose of this study was to determine whether unstable surface core exercise is more effective than stable surface core exercise on improving functional movement and balance and reducing pain in sedentary female workers with backpain. Participants were randomly assigned to an unstable surface core exercise(UEG; n=10) or a stable surface core exercise(SEG; n=10) group. They participated in the given exercise for 8 weeks. FMS, Y-Balance and VAS were measured before and after the participation in exercise, which were subjected to a repeated-measures ANOVA. In the case of a significant interaction between time and group, paired sample t-tests were conducted for a post hoc analysis within each subject group. Results indicated that FMS of the UEG had a significant effect on HS (p<.01), ASLR (p<.05) and TS(p<.001), but not for other variables. YBT did not show a significant effect for any variable (AT, PL, PM, TS), although the main effect of time was significant in both subject groups. VAS had a significant effect only in the UEG(p<.001). Our findings indicate that compared to SEG, UEG is more effective for improving functional movement and reducing pain, but not for improving balance, in sedentary female workers with backpain.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.44.1-44.1
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• 2009

예측모델

• Journal of Chest Surgery
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• v.25 no.10
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• pp.1137-1140
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• 1992

Bronchoartic Fistula Secondary to Pulmoanry Tuberculosis Bronch-aortic fistula is a exceptionally rare complication of pulmonary tuberculosis. We report herein, a case of 39 years woman who underwent successful repair of aor-tobronchofistula. She was admitted because of massive hemoptysis via emergency room, she had several bouts of massive hemoptysis prior to hospitalization. Thoracic-aortic pseudoaneurysm had detected by chest CT by chance. The eroded, perforated descending aorta was repaired with patch aortoplasty during temporarily clamping, followed by Left lower lobectomy and omentopexy. Pathological examination revealed pulmonary tuberculosis of superiror seg. of lerg lower lobe and aortitis. The patient had uneventful recovery was well at OPD follow-up check.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.267-268
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• 2017

본 논문에서는 스마트폰 USB 포트와 연결하여 전원을 공급받고 측정 결과를 스마트폰으로 전달하여 표시할 수 있는 디지털 멀티미터 기술을 제시한다. 스마트폰의 전원과 디스플레이를 사용하므로 디지털 멀티미터의 구성은 전기 신호를 측정하는 측정부와 측정 데이터를 스마트폰으로 전송하기 위한 통신부만 있으면 되므로 기존 제품보다 부피가 감소하고 가격이 낮아지며 스마트폰으로 전송된 측정 데이터의 저장과 전송이 용이해지므로 사용성이 확장될 수 있다.

• Journal of The Korean Radiological Technologist Association
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• v.27 no.2
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• pp.181-197
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• 2001

Thus, among peripheral blood, the number of WBC decreased drastically for a certain period after total body irradiation with high dose radiation, and the levels of Seg. neutriphil and lymphocyte decreased significantly after irradiation in the lymphocyte

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.409-411
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• 2002

본 논문에서는 스트리밍 미디어 캐슁 서버의 효율적인 캐슁 구조를 위하여 참조 횟수, 참조량, 참조 시간 둥의 정량적인 인자들과 사용자 요구 주기를 적용하여 최근 참조 경향에 높은 가중치를 부여함으로써 변화하는 콘텐츠 선호 경향에 빠르게 적응하는 가중치 기반의 캐쉬 교체 정책을 제안한다. 성능 분석은 시뮬레이션 환경 구축을 통해 실험하였으며 LRU, LFU와 SEG 캐쉬 정책과 비교 분석하여 향상된 결과를 보였다.

• Geophysics and Geophysical Exploration
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• v.7 no.4
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• pp.234-244
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• 2004

In order to calculate 3-dimensional wavefield using finite-element method in frequency domain, we must factor so huge sparse impedance matrix. Because of difficulties of handling of this huge impedance matrix, 3-dimensional wave equation modeling is conducted mainly in time domain. In this study, we simulate the 3-D wavefield using finite-element method in Laplace domain by combining high-performance parallel finite-element solver and SWEET (Suppressed Wave Equation Estimation of Traveltime) algorithm which can calculate the traveltime and the amplitude. To verify this combination, we applied it to the SEG/EAGE 3D salt model in serial and parallel computing environments.