• Investigative Magnetic Resonance Imaging
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• v.17 no.4
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• pp.286-293
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• 2013

Purpose : The objective of this study was to analyze the brain volume according to the brain image of healthy adults in the 20s taken with different inversion time (TI). Materials and Methods: Brain images of healthy adults in the 20 s were acquired using magnetization prepared rapid acquisition gradient echo (MPRAGE) pulse sequence with 1.5 mm thickness of pieces and four inversion times (1100 ms, 1000 ms, 900 ms, 800 ms). The acquired brain images were analyzed to measure the volume of white matter (WM), gray matter (GM), intracranial volume (ICV). The statistical difference according to brain volume and gender was analyzed for each TI. Results: The brain volume calculated using Freesurfer was WM$486.52{\pm}48.64cm^3$ and GM=$646.83{\pm}57.12cm^3$ in mean when adjusted by mean ICV=$1278.94{\pm}154.92cm^3$. Men's brain volume(WM, GM, ICV) was larger than women's brain volume. In the intrarater reliability test, all of the intraclass correlation coefficients were high (0.992 for WM, 0.988 for GM, and 0.997 for ICV). In the repeated measures analysis of variance, GM and ICV did not show a significant difference at each TI (GM p=0.143, ICV p=0.052), but WM showed a significant (p=0.001). In the linear structure relation analysis, all of the Pearson correlation coefficients were high. Conclusion: WM, GM, and ICV indicated high reliability and solid linear structure relations, but WM showed significant differences at each TI. The brain volume of healthy adults in the 20s could be used in comparison with that of patients for reference purposes and to predict the structural change of brain. It would be needed to conduct additional studies to examine the contract, SNR, and lesion detection ability according to variable TI.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.147-154
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• 2019

Objectives : Cognitive dysfunction, including inattention, is often observed in patients with depression. Inattentive symptoms in patients with depression is similar to those among attention deficit/hyperactivity disorder (ADHD) patients. It is important to diagnose the two diseases accurately, because the treatment varies depending on the cause of inattention. This study aimed to investigate the coexistence rate of ADHD and the correlation between ADHD symptoms and depression in patients with depression. Methods : Participants in this study were 158 outpatients presenting with depression, who visited the psychiatric department from March 2015 to July 2018. Participants divided into a depression and a non-depression group according to the Korean version of the Center for Epidemiological Studies-Depression Scale (CES-D) score and were administered the following : a sociodemographic variables form (age, sex, academic background, occupation), the self-reporting test for adult ADHD (Adult Attention Deficit/Hyperactivity Disorder self-report scale-V 1.1; ASRS V1.1), and the Korean version of the Connors adult ADHD rating scale (K-CAARS). Descriptive statistical analysis, crossover analysis, t-tests, and Pearson's correlation coefficient were conducted on the data. Results : The coexistence rate of adult ADHD symptom was as high as 36.7% in patients with depression (p<0.001). In K-CAARS, the depression group (Inattention=1.80, Hyperactivity=1.92, Impulsivity=1.56, Self-concept=2.06) showed higher average scores on ADHD symptoms than the non-depressive group (Inattention=1.28, Hyperactivity=1.25, Impulsivity=1.09, Self-concept=1.42, p<0.001). Conclusions : This study confirmed that ADHD symptoms coexist in the depression group. When evaluating the symptoms of patients who complain of depression, it is suggested that they should be accurately diagnosed and appropriately treated with interest to the coexistence of ADHD symptoms and the possibility for ADHD diagnosis.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.81-96
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• 2023

Objective : This study aimed to examine the association between the structural and functional aspects of social networks and health-promoting behaviors in community-dwelling older adults. Methods : Social networks based on structural and functional aspects and health-promoting behaviors by lifestyle were measured in 226 community-dwelling adults aged 65 years and over. To analyze the collected data, an independent t-test, one-way ANOVA, Pearson's correlation analysis, and hierarchical regression were performed. Results : The network size was the highest in the friend network, and the frequency of contact and social support was the highest in the non-living family network. Health-promoting behaviors were highest for activities of daily living and lowest for productive and social activities. All subfactors of social networks showed significant positive correlations with health-promoting behaviors. Hierarchical regression showed social support from neighbors as the variable with a significant effect on health-promoting behaviors; gender and depression were also influencing factors, and this model showed 37% explanatory power. Conclusion : To promote healthy behaviors of older adultsin the community, the development of health promotion programs and related policies considering social networks centering on social support from neighbors is required.

• The Journal of Korean Society for Radiation Therapy
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• v.25 no.2
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• pp.159-165
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• 2013

Purpose: Abdominal compressor is used to control breathing in stereotactic body radiotherapy for lung tumors frequently. We evaluated the dynamic variation aspect of internal tumor volume by breathing. Materials and Methods: We reviewed 20 lung cancer patients (7 upper lung patients, 4 middle lung patients, 9 lower lung patients) who received stereotactic body radiotherapy using abdominal compressor between April 2012 to April 2013. Coordinate shift values were obtained by using four-dimensional cone-beam CT (4D-CBCT) to investigate treatment set-up error and moving tumor position error. To investigate how much difference of each part, we compared 95% confidence interval, maximum values and minimum values of three-dimensional vector value and analyzed conformity degree through the Pearson square correlation coefficient. Results: 95% confidence interval of three-dimensional vector value of each part is 1.8~2.9 mm in upper lobe, 2.3~5.4 mm in middle lobe and 2.2~4.0 mm in lower lobe. Conformity degree was the result that respectively is LR direction 0.75, SI direction 0.68 and AP direction 0.63 in upper lobe, LR direction 0.82, SI direction 0.51 and AP direction 0.92 in middle lobe and LR direction 0.63, SI direction 0.50 and AP direction 0.34 in lower lobe. Conclusion: We showed difference by each site in lung tumor due to respiration by using abdominal compressor. Therefore, we must correct treatment set-up error as well as moving tumor position error by breathing. It is also considered to be useful that it is the use of 4D-CBCT when correcting the error due to various dynamic variation.

• Research in Community and Public Health Nursing
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• v.1 no.1
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• pp.172-173
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• 1989

본 연구는 전국의 보건진료원이 하는 업무를 분석하여 우리나라 보건진료원 제도 정착에 도움을 주는 기초자료를 제공하는 연구의 일환으로 강원도 지역에서 실시하였다. 연구대상은 강원도에 있는 보건진료원 전수로 하였고 이중 응답자수는 108명이었다. 연구도구는 문헌과 간호교육자들에 의해 작성 된 구조화된 설문지를 사용하였으며 수집된 자료는 SPSS를 이용하여 빈도, 백분율, 평균 및 피어슨 상관계수를 구하였고 유의성 검정을 위해서 t-test, ANOVA의 통계방법을 사용하였다. 본 연구결과를 통하여 얻은 결론은 다음과 같다. 1) 조사대상자인 보건진료원의 평균 연령이 31.5세이며 과반수의 보건진료원이 30세 미만 이었고 기혼자가 마혼자보다 약간 많았다. 보건진료원의 반수 이상이 현재 가족과 동거하고 있었고 학력은 3년제 간호전문대학 졸업자가, 경력은 3년 미만인 사람이 대부분이었으며 종교를 가진 사람이 대부분 이었으며 종교를 가진 사람이 안가진 사람보다 더 많았다. 또한 보건진료원의 근무지역 조건은 대부분이 을지에서 근무하고 있었고 대부분의 보건진료원이 신축된 보건진료소 시설에서 업무를 수행하고 보건진료소 내의 숙소에서 거주하는 것으로 냐타났다. 2) 보건진료원이 담당하는 평균 주민수는 1,660.8명 이었으며 과반수 정도의 보건진료원이 $501\sim1,000$명이 이상적인 적정 담당 주민수라고 생각하고 있었다. 강원도 주민의 연평균 보건진료소 이용자수는 4,099.3명 이었고 이용 주민수가 5,000명 이상인 보건진료소도 11개소 12.9 %나 되었다. 3) 보건진료소 사업대상지역 내에 있는 보건 의료기관은 약방 및 약종상이 62.1 %로 가장 많이 분포되어 있었고 보건지소도 16 %나 사업대상지역 내에 함께 있는 것으로 나타났다. 지역주민의 보건의료기관 이용은 보건진료소가 59.0 % 로 지역주민이 가장 많이 이용하고 있었고 보건 진료원이 가장 많이 이용하는 의뢰기관은 뱅 의원이 66 %, 보건소가 36.4 %로 나타났다. 또한 보건진료소의 보건의료기관과의 협조관계는 보건소와는 과반수 정도가 잘 협조하고 있다고 응답 한 반면 보건지소와 잘 협조하고 있다고 응답한 율은 37.6 % 밖에 안되었다. 4) 보건진료원이 업무영역 수행 정도를 살펴 보면 5점 만점에 통상질환관리가 3.69점, 사업 운영 관리 및 지도는 3.45점, 모자보건 및 가족계획은 3.28 점, 지역사회 조직 및 개발은 3.27 점, 보건정보체계 개발 및 수집은 3.17 점, 사업 계획 수립은 3.14 점, 지역사회 보건관리는 3.13 점의 순으로 나타났다. 보건진료원의 업무영역을 l 일 8 시간으로 하여 l 주 44 시간을 기준으로 측정하면 통상질환관리 18.56시간, 지역사회 보건관리 5.67 시간, 모자보건 및 가족계획 5.52 시간, 사업 운영관리 및 지도 4.10시간, 지역사회 조직 및 개발 3.05 시간, 보건정보체계 개발 및 수집 2.94 시간, 사업계획 수립 2.89시간의 순으로 나타났다. 5) 보건진료원의 업무영역별 수행 소요시간의 상판판계를 살펴보면 지역사펴 조직 및 개발을 위 해 소요한 시간은 사엽계획 수립 소요시간 및 보건정 보체계 관리 소요시간과 순상관관계를, 사업 계획 수립 소요시간은 지역사회 보건관리, 모자보건 및 가족계획 관리 소요시간 및 보건정보체제 관리 소요시간과 순상관관계를 나타냈다. 또한 통상질환관리 소요시간은 지역 사회 조직 및 개발, 사업계획 수립, 지역사회 보건관리와 모자보건 및 가족계획 관리, 사업운영 관리 및 지도, 보건정보체계 관리 소요시간과 역상관관계를 나타내었다. 6) 보건진료원의 총 업무수행 정도를 잘펴보면 업무수행 점수의 평균은 87.5점이었으며 보건진료원의 근무지가 병지이고 보건진료소의 시설상태가 나쁜 경우 업무수행 점수가 높은 것으로 나타났으며 업무수행 정도와는 별 차이가 없었다.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.7
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• pp.1003-1007
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• 2013

In this study, the antibacterial activities of selected barleys (UB, unhulled barley; PB, pearl barley; and NB, naked barley) and wheat (WG, wheat with germ and endosperm) extracts were evaluated against the food-borne pathogens Staphylococcus aureus KCTC 1927, Escherichia coli KCTC 2593, Salmonella Typhimurium KCTC 2054, and Bacillus cereus KCTC 1014. The amount of the antibacterial biomarker, 2,6-dimethoxy-1,4-benzoquinone (DMBQ), present in selected barleys and wheat, was measured by HPLC. Furthermore, antioxidant activity of samples was determined using the oxygen radical absorbance capacity (ORAC) assay. WG ($22.35{\pm}0.04mm$) was found to be highly inhibitory to Staphylococcus aureus followed by UB ($17.91{\pm}0.10mm$), PB ($16.87{\pm}0.05mm$), and NB ($15.69{\pm}0.20mm$). The antibacterial activity of the selected grains was correlated with antioxidant activities and the amount of DMBQ (Pearson's correlation coefficient, 0.7831). The antioxidant activity of the selected grains was also correlated with the total phenolic content (Pearson's correlation coefficient, 0.9934). WG extract showed significantly higher antibacterial activity, compared with barley extracts such as UB, PB, and NB. The results of this study suggest that barley has a potential in the development of natural antimicrobials and food preservatives for controlling food-borne pathogens.

• Journal of the Korean Society of Radiology
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• v.8 no.7
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• pp.467-477
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• 2014

The purpose of this study is to offer data base for establishment of dental training x-ray generator based safety usage through surveying real radiation safety management state of radiation worker's in plan of operations that have dental training x-ray generators and use it. For it, comprehensive references were surveyed referring reports of current state of regulation technique development and domestic radiation safety evaluation and nuclear related legislation regarding radiation safety management of dental training x-ray generators. On the basis of it, questionnaires were filled in about respondent's general characteristic radiation safety manager's status current state of radiation safety management and the level of knowledge & consciousness. For the study, the survey was conducted to 224 people of radiation safety managers and university graduates training assistants and full-time professors who can treat dental training x-ray generators in education center. through this survey 95 questionnaires were used as analysis materials except the insufficient and omitted responses. As a method of analysis, the frequency and percentage were figured out with the general characteristics and safety manager's status. Chi-square test for frequency and correlation per question analysis and Pearson correlation analysis for crosslevel correlation were done with current state of radiation safety management and knowledge & consciousness level. As a result, running dental training x-ray generators was dealt with by 20's to 40's who have high education level over post undergraduate degree and major in dental hygienic. In addition, female have higher consciousness level for radiation safety management than male. It shows significal linear relation statistically(${\chi}^2$ >5, 0.1${\chi}^2$ >5, 0.3${\chi}^2$ >5, 0.3

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.139-148
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• 2020

Infectious diseases have long plagued mankind, and predicting and preventing them has been a big challenge for mankind. For this reasen, various studies have been conducted so far to predict infectious diseases. Most of the early studies relied on epidemiological data from the Centers for Disease Control and Prevention (CDC), and the problem was that the data provided by the CDC was updated only once a week, making it difficult to predict the number of real-time disease outbreaks. However, with the emergence of various Internet media due to the recent development of IT technology, studies have been conducted to predict the occurrence of infectious diseases through web data, and most of the studies we have researched have been using single Web data to predict diseases. However, disease forecasting through a single Web data has the disadvantage of having difficulty collecting large amounts of learning data and making accurate predictions through models for recent outbreaks such as "COVID-19". Thus, we would like to demonstrate through experiments that models that use multiple Web data to predict the occurrence of infectious diseases through LSTM models are more accurate than those that use single Web data and suggest models suitable for predicting infectious diseases. In this experiment, we predicted the occurrence of "Malaria" and "Epidemic-parotitis" using a single web data model and the model we propose. A total of 104 weeks of NEWS, SNS, and search query data were collected, of which 75 weeks were used as learning data and 29 weeks were used as verification data. In the experiment we predicted verification data using our proposed model and single web data, Pearson correlation coefficient for the predicted results of our proposed model showed the highest similarity at 0.94, 0.86, and RMSE was also the lowest at 0.19, 0.07.

• Korean Journal of Agricultural and Forest Meteorology
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• v.21 no.1
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• pp.29-41
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• 2019

Terrestrial Gross Primary Production (GPP) is the largest global carbon flux, and forest ecosystems are important because of the ability to store much more significant amounts of carbon than other terrestrial ecosystems. There have been several attempts to estimate GPP using mechanism-based models. However, mechanism-based models including biological, chemical, and physical processes are limited due to a lack of flexibility in predicting non-stationary ecological processes, which are caused by a local and global change. Instead mechanism-free methods are strongly recommended to estimate nonlinear dynamics that occur in nature like GPP. Therefore, we used the mechanism-free machine learning techniques to estimate the daily GPP. In this study, support vector machine (SVM), random forest (RF) and artificial neural network (ANN) were used and compared with the traditional multiple linear regression model (LM). MODIS products and meteorological parameters from eddy covariance data were employed to train the machine learning and LM models from 2006 to 2013. GPP prediction models were compared with daily GPP from eddy covariance measurement in a deciduous forest in South Korea in 2014 and 2015. Statistical analysis including correlation coefficient (R), root mean square error (RMSE) and mean squared error (MSE) were used to evaluate the performance of models. In general, the models from machine-learning algorithms (R = 0.85 - 0.93, MSE = 1.00 - 2.05, p < 0.001) showed better performance than linear regression model (R = 0.82 - 0.92, MSE = 1.24 - 2.45, p < 0.001). These results provide insight into high predictability and the possibility of expansion through the use of the mechanism-free machine-learning models and remote sensing for predicting non-stationary ecological processes such as seasonal GPP.

• Journal of Korea Water Resources Association
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• v.55 no.6
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• pp.393-404
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• 2022

Reliable terrestrial rainfall observations from satellites at finer spatial resolution are essential for urban hydrological and microscale agricultural demands. Although various traditional "top-down" approach-based satellite rainfall products were widely used, they are limited in spatial resolution. This study aims to assess the potential of a novel "bottom-up" approach for rainfall estimation, the parameterized SM2RAIN model, applied to the C-band SAR Sentinel-1 satellite data (SM2RAIN-S1), to generate high-spatial-resolution terrestrial rainfall estimates (0.01° grid/6-day) over Central South Korea. Its performance was evaluated for both spatial and temporal variability using the respective rainfall data from a conventional reanalysis product and rain gauge network for a 1-year period over two different sub-regions in Central South Korea-the mixed forest-dominated, middle sub-region and cropland-dominated, west coast sub-region. Evaluation results indicated that the SM2RAIN-S1 product can capture general rainfall patterns in Central South Korea, and hold potential for high-spatial-resolution rainfall measurement over the local scale with different land covers, while less biased rainfall estimates against rain gauge observations were provided. Moreover, the SM2RAIN-S1 rainfall product was better in mixed forests considering the Pearson's correlation coefficient (R = 0.69), implying the suitability of 6-day SM2RAIN-S1 data in capturing the temporal dynamics of soil moisture and rainfall in mixed forests. However, in terms of RMSE and Bias, better performance was obtained with the SM2RAIN-S1 rainfall product over croplands rather than mixed forests, indicating that larger errors induced by high evapotranspiration losses (especially in mixed forests) need to be included in further improvement of the SM2RAIN.