• Journal of Gastric Cancer
• /
• v.17 no.2
• /
• pp.132-144
• /
• 2017

Purpose: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. Materials and Methods: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. Results: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64-0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. Conclusions: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.18 no.1
• /
• pp.156-169
• /
• 2015

This study was to evaluate the RCP climate change impact on hydrological components in the Imha-Dam watershed using SWAT(Soil and Water Assessment Tool) Model. The model was calibrated for six year(2002~2007) and validated for six year(2008~2013) using daily observed streamflow data at three watershed stations. The overall simulation results for the total released volume at this point appear reasonable by showing that coefficient of determination($R^2$) were 0.70~0.85 and Nash-Sutcliffe model efficiency(NSE) were 0.67-0.82 for streamflow, respectively. For future hydrologic evaluation, the HadGEM3-RA climate data by scenarios of Representative Concentration Pathway(RCP) 4.5 and 8.5 of the Korea Meteorological Administration were adopted. The biased future data were corrected using 34 years(1980~2013, baseline period) of weather data. Precipitation and temperature showed increase of 10.8% and 4.9%, respectively based on the baseline data. The impacts of future climate change on the evapotranspiration, soil moisture, surface runoff, lateral flow, return flow and streamflow showed changes of +11.2%, +1.9%, +10.0%, +12.1%, +18.2%, and +11.2%, respectively.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.8
• /
• pp.325-330
• /
• 2022

This paper conducts the collection and experiment of datasets for deep learning research on sign language such as sign language recognition, sign language translation, and sign language segmentation for Korean sign language. There exist difficulties for deep learning research of sign language. First, it is difficult to recognize sign languages since they contain multiple modalities including hand movements, hand directions, and facial expressions. Second, it is the absence of training data to conduct deep learning research. Currently, KETI dataset is the only known dataset for Korean sign language for deep learning. Sign language datasets for deep learning research are classified into two categories: Isolated sign language and Continuous sign language. Although several foreign sign language datasets have been collected over time. they are also insufficient for deep learning research of sign language. Therefore, we attempted to collect a large-scale Korean sign language dataset and evaluate it using a baseline model named TSPNet which has the performance of SOTA in the field of sign language translation. The collected dataset consists of a total of 11,402 image and text. Our experimental result with the baseline model using the dataset shows BLEU-4 score 3.63, which would be used as a basic performance of a baseline model for Korean sign language dataset. We hope that our experience of collecting Korean sign language dataset helps facilitate further research directions on Korean sign language.

• Journal of Astronomy and Space Sciences
• /
• v.25 no.3
• /
• pp.283-290
• /
• 2008

Satellite formation flying can provide the platform for interferometric observation to acquire the precise data and ensure the flexibility for space mission. This paper presents development and verification of an algorithm to estimate the baseline between formation flying satellites. To estimate a baseline(relative navigation) in real time, EKF(Extended Kalman Filter) and UKF(Unscented Kalman Filter) are used. Measurements for updating a state-vector in Kalman Filter are GPS single difference data. In results, The position errors in estimated baseline are converged to less than ${\pm}1m$ in both EKF and UKF. And as using the two types of Kalman filter, it is clear that the unscented Kalman filter shows a relatively better performance than the extended Kalman filter by comparing an efficiency to the model which has a non-linearity.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.3
• /
• pp.465-472
• /
• 2020

Recently, various deep neural networks based methods have been proposed for audio event detection. In this study, we improved the performance of audio event detection by adopting an attention approach to a baseline CRNN. We applied context gating at the input of the baseline CRNN and added an attention layer at the output. We improved the performance of the attention based CRNN by using the audio data of strong labels in frame units as well as the data of weak labels in clip levels. In the audio event detection experiments using the audio data from the Task 4 of the DCASE 2018/2019 Challenge, we could obtain maximally a 66% relative increase in the F-score in the proposed attention based CRNN compared with the baseline CRNN.

• Journal of Preventive Medicine and Public Health
• /
• v.44 no.4
• /
• pp.167-175
• /
• 2011

Objective: This study was designed to describe the trends in body mass index (BMI) during 6 years (2002-2008) and to identify associations between these trends and the amount of physical activity of South Korean career soldiers. Method: This study targeted the 40 993 (38 857 men and 2136 women) of the 58 657 career soldiers who had undergone four (2002, 2004, 2006, and 2008) biennial medical examinations conducted by the National Health Insurance Corporation; 17 664 soldiers with missing data on height, weight, and physical activity were excluded. A linear mixedregression model was used to categorize changes in BMI due to age versus those due to amount of physical activity. Results: Career soldiers experienced significant increases in BMI compared with baseline data gathered in 2002. The increases in each age group were as follows: men aged 20-29: 1.16, men aged 30-39: 0.61, men aged 40-49: 0.05, women aged 20-29: 0.35, women aged 30-39: 0.30, women aged 40 -49: 0.26, and women aged 50-59: 0.21. However, men aged 50 or older showed significant decreases (as high as 0.5) in BMI compared with baseline data obtained in 2002. They also experienced significant decreases in BMI compared with those who reported no physical activity. The differences between baseline and final BMIs were: 0.02 for men exercising 1-2 times per week, -0.07 for men exercising 3-4 times per week, -0.19 for men exercising 5-6 times per week, -0.21 for men exercising seven times per week, -0.05 for women exercising 1-2 times per week, -0.19 for women exercising 3-4 times per week, -0.30 for women exercising 5-6 times per week, and -0.30 for women exercising seven times per week. Conclusions: Obesity in South Korean career soldiers increased markedly between 2002 and 2008, and our data showed that the amount of physical activity was inversely related to increases in BMI. Policies to prevent obesity are needed to reduce this trend.

• Nutrition Research and Practice
• /
• v.8 no.1
• /
• pp.103-111
• /
• 2014

This study aims to determine the effect of a trained dedicated dietitian on clinical outcomes among Lebanese hemodialysis (HD) patients: and thus demonstrate a viable developing country model. This paper describes the study protocol and baseline data. The study was a multicenter randomized controlled trial with parallel-group design involving 12 HD units: assigned to cluster A (n = 6) or B (n = 6). A total of 570 patients met the inclusion criteria. Patients in cluster A were randomly assigned as per dialysis shift to the following: Dedicated Dietitian (DD) (n = 133) and Existing Practice (EP) (n = 138) protocols. Cluster B patients (n = 299) received Trained Hospital Dietitian (THD) protocol. Dietitians of the DD and THD groups were trained by the research team on Kidney Disease Outcomes Quality Initiative nutrition guidelines. DD protocol included: individualized nutrition education for 2 hours/month/HD patient for 6 months focusing on renal osteodystrophy and using the Trans-theoretical theory for behavioral change. EP protocol included nutrition education given to patients by hospital dietitians who were blinded to the study. The THD protocol included nutrition education to patients given by hospital dietitian as per the training received but within hospital responsibilities, with no set educational protocol or tools. Baseline data revealed that 40% of patients were hyperphosphatemics (> 5.5 mg/dl) with low dietary adherence and knowledge of dietary P restriction in addition to inadequate daily protein intake ($58.86%{\pm}33.87%$ of needs) yet adequate dietary P intake ($795.52{\pm}366.94$ mg/day). Quality of life (QOL) ranged from 48-75% of full health. Baseline differences between the 3 groups revealed significant differences in serum P, malnutrition status, adherence to diet and P chelators and in 2 factors of the QOL: physical and social functioning. The data show room for improvement in the nutritional status of the patients. The NEMO trial may be able to demonstrate a better nutritional management of HD patients.

• Journal of Korean Academy of Nursing
• /
• v.35 no.4
• /
• pp.745-753
• /
• 2005

Purpose. The purposes of this study were to 1) describe the type and frequency of aggressive behavior of cognitively impaired nursing home resident, 2) develop a caregiver training program on prevention and management of aggressive behavior, 3) examine the effects of caregiver training program on the incidence of aggressive behavior of cognitively impaired nursing home resident, and 4) examine the effects of caregiver training program on nursing staff's aggressive behavior management skills. Methods. One-group, time series, quasi-experimental design with a pre-test and two post- tests was used. Data were collected from cognitively impaired home residents (N = 32) and nursing staff (N = 36) in a proprietary nursing home using Ryden Aggression Scale I, II, and Aggressive Behavior Management Scale. Data were entered and analyzed by descriptive statistics and repeated measures ANOVA. Results. Incidence of aggressive behavior was high with a mean score of 3.09 (SD = 3.11) at baseline. Caregiver training program was developed based on Progressively Lowered Stress Threshold (PLST) model and gerontological and psychiatric literature. The mean scores of aggressive behavior at baseline, Post I, and II did not differ significantly although the difference approached to the significant level (F = 2.925, p = .066). Nursing staff's aggressive behavior management skills increased at Post I, and at Post II when compared to baseline, and the difference was significant (F=12.736, p=<.00l). Conclusion. Caregiver training program showed potential impact on reduction of aggressive behavior in elders with cognitive impairment and was effective in increasing nursing staff's aggressive behavior management skills.

• Diabetes and Metabolism Journal
• /
• v.42 no.6
• /
• pp.488-495
• /
• 2018

Background: Skeletal muscle plays a major role in glucose metabolism. We investigated the association between thigh muscle mass, insulin resistance, and incident type 2 diabetes mellitus (T2DM) risk. In addition, we examined the role of body mass index (BMI) as a potential effect modifier in this association. Methods: This prospective study included 399 Japanese Americans without diabetes (mean age 51.6 years) who at baseline had an estimation of thigh muscle mass by computed tomography and at baseline and after 10 years of follow-up a 75-g oral glucose tolerance test and determination of homeostasis model assessment of insulin resistance (HOMA-IR). We fit regression models to examine the association between thigh muscle area and incidence of T2DM and change in HOMA-IR, both measured over 10 years. Results: Thigh muscle area was inversely associated with future HOMA-IR after adjustment for age, sex, BMI, HOMA-IR, fasting plasma glucose, total abdominal fat area, and thigh subcutaneous fat area at baseline (P=0.033). The 10-year cumulative incidence of T2DM was 22.1%. A statistically significant interaction between thigh muscle area and BMI was observed, i.e., greater thigh muscle area was associated with lower risk of incident T2DM for subjects at lower levels of BMI, but this association diminished at higher BMI levels. Conclusion: Thigh muscle mass area was inversely associated with future insulin resistance. Greater thigh muscle area predicts a lower risk of incident T2DM for leaner Japanese Americans.

• Korean Journal of Community Nutrition
• /
• v.28 no.2
• /
• pp.141-159
• /
• 2023

Objectives: This study aimed to determine whether a mobile health (mhealth) intervention is effective in reducing weight and changing dietary behavior among employees with overweight and obesity. The study also investigated whether engagement with the intervention affected its effectiveness. Methods: The intervention involved the use of a dietary coaching app, a wearable device for monitoring physical activity and body composition, and a messenger app for communicating with participants and an intervention manager. A total of 235 employees were recruited for a 12-week intervention from eight workplaces in Korea. Questionnaire surveys, anthropometric measurements, and 24-h dietary recalls were conducted at baseline and after the intervention. Results: After the intervention, significant decreases in the mean body weight, body mass index, body fat percentage, and waist circumference were observed. Furthermore, the consumption frequencies of multigrain rice and legumes significantly increased, whereas those of pork belly, instant noodles, processed meat, carbonated beverages, and fast food significantly decreased compared with those at baseline. The mean dietary intake of energy and most nutrients also decreased after the intervention. When the participants were categorized into three groups according to their engagement level, significant differences in anthropometric data, dietary behaviors, and energy intake were observed following the intervention, although there were no differences at baseline, indicating that higher engagement level led to greater improvements in weight loss and dietary behavior. Conclusions: The intervention had positive effects on weight loss and dietary behavior changes, particularly among employees with higher engagement levels. These results indicate the importance of increasing the level of engagement in the intervention to enhance its effectiveness. The mhealth intervention is a promising model for health promotion for busy workers with limited time.