초점 / 96년 미국 대통령선거 분석 : 다국적기업이 선거에서 이겼다

서영민 사회평론 1996 사회평론 길 Vol.96 No.12

Synergistic effect of Korean red ginseng and Pueraria montana var. lobata against trimethyltin-induced cognitive impairment

서영민,최수정,박찬규,김민철,신동훈 한국식품과학회 2018 Food Science and Biotechnology Vol.27 No.4

Many edible plant extracts exhibit biological activities. For example, the ethanol extract of Pueraria montana var. lobata (P. montana) inhibits acetylcholinesterase (AChE), and red ginseng is well known for promoting health. In this study the authors investigated the synergistic effect of P. montana and red ginseng extracts on AChE activity in vitro and in mouse brain tissues and trimethyltin (TMT)-induced cognitive impairment in a mouse model of TMT-induced neurodegeneration. A diet containing a mixture of P. montana and red ginseng extracts reversed learning and memory impairments in Y-maze and passive avoidance behavioral tests. In addition, the mixture inhibited AChE activity and lipid peroxidation synergistically.

암환자의 피로와 관련된 포괄적 예측요인에 대한 분석

서영민,오현수,서화숙,김화순 한국간호과학회 2006 Journal of Korean Academy of Nursing Vol.36 No.8

Comprehensive Predictors of Fatigue for Cancer Patients Seo, Young Min1)․Oh, Hyun Soo2)․Seo, Wha Sook2)․Kim, Hwa Soon2) 1) Nurse, Inha University Hospital, 2) Professor, Department of Nursing, Inha University Purpose: This study was conducted to identify comprehensive predictors of fatigue in cancer patients. Methods: One hundred ten cancer patients visiting in-patient or out-patient clinics of a university hospital located in Incheon participated in this study. Results: The hematologic indicators (WBC and Hemoglobin) were significant for explaining fatigue. The psychological factors of fatigue were statistically significant. Both anxiety and depression, included as psychological factors, were significant in explaining fatigue in cancer patients. The influence of physical factors on fatigue was also statistically significant. Among the variables included as physical factors, pain, nausea/vomiting/anorexia, and sleep disturbance were significant whereas, dyspnea was not significant. The influence of the daily activity factor on fatigue was statistically significant. Among the variables included as daily activity factors, regular exercise or not and the usual activity level were significant in explaining fatigue of cancer patients, while the level of rest was not statistically significant. Conclusions: From the study results fatigue of cancer patients appeared to be influenced by multidimensional factors, such as physiological, physical, psychological, and activity related factors.

암환자의 피로와 관련된 포괄적 예측요인에 대한 분석

서영민,오현수,서화숙,김화순,Seo, Young-Min,Oh, Hyun-Soo,Soe, Wha-Sook,Kim, Hwa-Soon 한국간호과학회 2006 Journal of Korean Academy of Nursing Vol.36 No.7

Purpose: This study was conducted to identify comprehensive predictors of fatigue in cancer patients. Methods: One hundred ten cancer patients visiting in-patient or out-patient clinics of a university hospital located in Incheon participated in this study. Results: The hematologic indicators (WBC and Hemoglobin) were significant fo. explaining fatigue. The psychological factors of fatigue were statistically significant. Both anxiety and depression, included as psychological factors, were significant in explaining fatigue in cancer patients. The influence of physical factors on fatigue was also statistically significant. Among the variables included as physical factors, pain, nausea/vomiting/anorexia, and sleep disturbance were significant whereas, dyspnea was not significant. The influence of the daily activity factor on fatigue was statistically significant. Among the variables included as daily activity factors, regular exercise or not and the usual activity level were significant in explaining fatigue of cancer patients, while the level of rest was not statistically significant. Conclusions: From the study results fatigue of cancer patients appeared to be influenced by multidimensional factors, such as physiological, physical, psychological, and activity related factors.

Patterning of black matrix using electrohydrodynamic jet printing

서영민,송치호,안희준 한국공업화학회 2015 한국공업화학회 연구논문 초록집 Vol.2015 No.1

Electrohydrodynamic (EHD) jet printing is a technique using electric fields to eject inks through nozzle apertures. EHD jet printing is very attractive due to its non-contacting nature and compatibility with diverse materials and substrates. In this research, we have fabricated micron-sized dot arrays and line patterns with carbon black ink on Si wafer substrates using EHD jet printing. The effect of operating conditions such as applied voltage, working distance and stage speed on the size and shape of the jetted patterns and jetting cycles is investigated by using optical microscope, high speed camera and atomic force microscopy (AFM). We have also demonstrated the drop-on-demand feature of the EHD jet printing system by patterning carbon black ink lines with various widths and dot arrays with desired diameters and spacing by controlling the operating conditions.

딥러닝과 Landsat 8 영상을 이용한 캘리포니아 산불 피해지 탐지

서영민,윤유정,김서연,강종구,정예민,최소연,임윤교,이양원 대한원격탐사학회 2023 대한원격탐사학회지 Vol.39 No.6

The increasing frequency of wildfires due to climate change is causing extreme loss of lifeand property. They cause loss of vegetation and affect ecosystem changes depending on their intensityand occurrence. Ecosystem changes, in turn, affect wildfire occurrence, causing secondary damage. Thus,accurate estimation of the areas affected by wildfires is fundamental. Satellite remote sensing is used forforest fire detection because it can rapidly acquire topographic and meteorological information aboutthe affected area after forest fires. In addition, deep learning algorithms such as convolutional neuralnetworks (CNN) and transformer models show high performance for more accurate monitoring of fireburntregions. To date, the application of deep learning models has been limited, and there is a scarcityof reports providing quantitative performance evaluations for practical field utilization. Hence, this studyemphasizes a comparative analysis, exploring performance enhancements achieved through both modelselection and data design. This study examined deep learning models for detecting wildfire-damagedareas using Landsat 8 satellite images in California. Also, we conducted a comprehensive comparisonand analysis of the detection performance of multiple models, such as U-Net and High-ResolutionNetwork-Object Contextual Representation (HRNet-OCR). Wildfire-related spectral indices such asnormalized difference vegetation index (NDVI) and normalized burn ratio (NBR) were used as inputchannels for the deep learning models to reflect the degree of vegetation cover and surface moisturecontent. As a result, the mean intersection over union (mIoU) was 0.831 for U-Net and 0.848 for HRNet-OCR, showing high segmentation performance. The inclusion of spectral indices alongside the base wavelength bands resulted in increased metric values for all combinations, affirming that the augmentationof input data with spectral indices contributes to the refinement of pixels. This study can be applied toother satellite images to build a recovery strategy for fire-burnt areas.

거대한 충격 이후의 세계

서영민 (사)방송기자연합회 2023 방송기자 Vol.73 No.-

Multistep-Ahead Flood Forecasting Using Wavelet and Data-Driven Methods

서영민,김성원,Vijay P. Singh 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.2

Accurate forecasting of floods is vital for developing a flood warning systems, flood prevention, flood damage mitigation, soilerosion reduction and soil conservation. The objective of this study is to apply two hybrid models for flood forecasting andinvestigate their accuracy for different lead times. These two models are the Wavelet-based Artificial Neural Network (WANN) andthe Wavelet-based Adaptive Neuro-Fuzzy Inference System (WANFIS). Wavelet decomposition is employed to decompose theflood time series into approximation and detail components. These decomposed time series are then used as inputs of ArtificialNeural Network (ANN) and adaptive Neuro-Fuzzy Inference System (ANFIS) modules in the WANN and WANFIS models,respectively. The WANN and WANFIS models yielded better results than the ANN and ANFIS models for different lead times. TheWANN and WANFIS models performed almost similarly. However, in terms of model efficiency, the WANFIS model was superiorto other models for lead times of 1 to 6 hours, and the WANN model was superior to other models for lead time of 8 to 10 hours. Theresults obtained from this study indicate that the combination of wavelet decomposition and data-driven models, including ANN andANFIS, can improve the efficiency of data-driven models. Results also indicate that the combination of wavelet decomposition anddata-driven models can be a potential tool for forecasting flood stage more accurately.

Electrospinning of TMPyP/Poly(vinyl alcohol) Nanofibers

서영민,장기훈,안희준 한국공업화학회 2015 한국공업화학회 연구논문 초록집 Vol.2015 No.1

We fabricated prophyrin-embeded and -coated PVA nanofibers using an electrospinning technique. Tetraethyl olthosilicate (TEOS) was used as a cross-linking agent for PVA to decrease solubility in aqueous solution. FT-IR and XPS results confirm the structural compositions of porphyrin/TEOS/PVA nanofibers. UV-vis spectroscopy shows a strong Q band and relatively weak Soret bands from the porphyrin/polymer nanofibers, and fluorescence microscopy displays strong red emission from all over the fibers. These results indicate that the porphyrins are homogeneously dispersed in and on the fibers. We also compared acid vapor sensitivity of the porphyrin-embeded PVA nanofibers with that of porphyrin-coated fibers.

개에서 발생한 다발성 림프종 치료 증례

서영민,이영원,김덕환,조성환,송근호 忠南大學校 獸醫科大學 附設 動物醫科學硏究所 2008 動物醫科學硏究誌 Vol.15 No.1

A 7 years old intact male Maltese dog with masses on the neck region, intraabdominal and popliteal region was referred to the Veterinary Medical Teaching Hospital of Chungnam National University. Neck and popliteal masses were symmetrical. Right neck mass size was 4 cm in width, 3 cm in length and 3 cm in height and left neck mass size was 3.5 cm in width, 3 cm in length and 3 cm in height. This case was diagnosed as the multicentric lymphoma by physical examination, laboratory examination, radiography, ultrasonography, CT, fine needle aspiration and histopathologic examination. The dog followed by treatment with L-CHOP protocol. The dog revealed that complete remission duration(CRD), first remission duration(FRD), second remission duration(SRD) and survival time was 7days, 115days, 99days and 214days, respectively.