• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.11 no.2
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• pp.10-20
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• 2012

This study shows how to estimate AADT(Annual Average Daily Traffic) on temporary count data using new grouping method. This study deals with clustering permanent traffic counts using monthly adjustment factor, daily adjustment factor and a percentage of hourly volume. This study uses a percentage of hourly volume comparing with other studies. Cluster analysis is used and 5 groups is suitable. First, make average of monthly adjustment factor, average of daily adjustment factor, a percentage of hourly volume for each group. Next estimate AADT using 24 hour volume(not holiday) and two adjustment factors. Goodness of fit test is used to find what groups are applicable. MAPE(Mean Absolute Percentage Error) is 8.7% in this method. It is under 1.5% comparing with other method(using adjustment factors in same section). This method is better than other studies because it can apply all temporary counts data.

• Magazine of the Korean Society of Agricultural Engineers
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• v.30 no.3
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• pp.51-57
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• 1988

The purpose of this paper is to know the effect of Adjustment factor (C) in Penman equation In the modified Penman equation by Doorenbos and Pruitt (1977), Potential Evapotranspiration(PET) was calculated in cases of (1) neglecting Adjustment factor (C=1, 0, A), (2) fixing Day/Night wind ratio (URATIO) to 2.0(B-l) and computing daily URATIO (B-2), and was compared with Actual Evapotranspiration (AET) for paddy fields in Suwon (1985-1986). The followings are a summary of this study results ; 1. Using 1985-1986 meteorological data, daily average PET in cases of A, B-i, B-2 were 4.61 mm/day, 4.81 mm/day and 5.36 mm/day respectively and daily average AET was 4.26 mm/day. The increment ratios of PET based on case A were 100%, 104.34% and 116.27% 2. The range of Adjustment factor (C) in cases of B-i, B-2 were 0.916-1.140 and 0.922-1.392 respectively. 3. The regression coefficient(r) between AET and PET in cases of A, B-i, B-2 were 0.928, 0.924 and 0.915 respectively.

• Journal of Korean Academy of Nursing
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• v.48 no.5
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• pp.545-553
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• 2018

Purpose: The increasing survival rate of colorectal cancer demands various nursing interventions and continuous care for patients to adapt to their psychosocial daily lives. The purpose of this study was to identify factors associated with psychosocial adjustment in colorectal cancer survivors. Methods: A cross-sectional descriptive study with face-to-face interviews was conducted of 156 colorectal cancer survivors after surgery visiting an outpatient cancer clinic at a tertiary hospital in S city, Korea. Posttraumatic growth, health-promoting behavior, length of treatment, difficulty in activities of daily living, and having a stoma were entered into the linear regression model. Results: The strongest factor influencing the level of psychosocial adjustment was health-promoting behavior (${\beta}=.33$, p<.001), followed by difficulty in activities of daily living (${\beta}=-.24$, p=.001), posttraumatic growth (${\beta}=.20$, p=.004), and having a stoma (${\beta}=-.19$, p=.004). Conclusion: Nursing interventions for psychosocial adjustment in colorectal cancer survivors need to include the contents for posttraumatic growth, as well as health-promoting behavior, and activities of daily living.

• Journal of Animal Science and Technology
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• v.45 no.5
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• pp.725-730
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• 2003

This study was conducted to evaluate the adequacy of an alternative a.m.-p.m. testing scheme for milk yield in comparison with the official test method based on weighing two milkings within 24 h. A total of 8,309 p.m. milking weights and 6,767 a.m. milking weights from 72 Holstein cows raised at N.L.R.I. were collected between October 2000 and November 2001. Ratios were computes for daily milk yield to a.m. and p.m. milking weights(direct yield ratios) and ratios of a.m. and p.m. milking weights to daily milk yield (inverse yield ratios). Analysis of variance indicated that the milking interval is the most important source of variation for yield ratios. Adjustment factors for estimating daily milk yield from single milking weights were derived through regression analysis of direct and inverse yield ratios on the length of the milking interval. Daily milk yield was estimated more precisely and accurately when adjustment factors were used than when single milking weights were doubled. In conclusion, alternative recording of a.m. and p.m. milking weights led to reliable estimates of milk yields.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.23-30
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• 2006

The variation in the traffic volume on any given roads is the reflection of its user's economic activities and life patterns. And traffic volume flows in every hour usually take different charateristics depending on the location and the function of the roads. This study produced the Monthly Adjustment Factor, Weekly Adjustment Factor and Design hourly Factor, each of which is the index indicating the traffic volume charaterirstics on the highways leading to the recreation areas in the mountainous and seaside tourist sites. Applying these results, it might be possible to calculate the optimal AADT (Annual Average Daily Traffic) and DHV (Design Hour Volume), also be a help to establish a traffic management policy. Finally, it hopes to promote new version of KHCM (Korea Highway Capacity Manual) which includes traffic volume characteristics on recreation areas.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.1-14
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• 2013

Annual average daily traffic (AADT) serves the important basic data in transportation sector. Despite of its importance, AADT is estimated through permanent traffic counts (PTC) at limited locations because of constraints in budget and so on. At most of locations, AADT is estimated using short-term traffic counts (STC). Though many studies have been carried out at home and abroad in an effort to enhance the accuracy of AADT estimate, the method to simplify average STC data has been adopted because of application difficulty. A typical model for estimating AADT is an adjustment factor application model which applies the monthly or weekly adjustment factors at PTC points (or group) with similar traffic pattern. But this model has the limit in determining the PTC points (or group) with similar traffic pattern with STC. Because STC represents usually 24-hour or 48-hour data, it's difficult to forecast a 365-day traffic variation. In order to improve the accuracy of traffic volume prediction, this study used the geostatistical approach called co-kriging and according to their reports. To compare results, using 3 methods : using adjustment factor in same section(method 1), using grouping method to apply adjustment factor(method 2), cokriging model using previous year's traffic data which is in a high spatial correlation with traffic volume data as a secondary variable. This study deals with estimating AADT considering time and space so AADT estimation is more reliable comparing other research.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.12
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• pp.1689-1694
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• 2004

This study was conducted to develop a novel adjustment factors for 305 days using 138,103 lactation records and 1,770,764 daily records, which were based on environmental circumstances such as herd year, season, age at calving, dry period and lactating stages. The present study showed that the change of persistency of cows at the first parity from total lactacting characteristics was slowly processed, while it was rapidly changed in cows at the second parity stage. Particularly, there was an outstanding difference between the first and second parity cows. Milk yield and composition increased as the age at calving was increased. In addition, milk yield and composition were higher at the first parity on fall compared with others, and those were higher at the more than second parity on fall and winter compared with other parity stages and seasons. The cow of dry group was included into lactating records of more than second parity stage. The data indicated that optimal results arose from 45-70 days of dry period. Milk yield was decreased when dry period was longer or shorter than 45-70 days. The lactating days were divided into 17, 28 and 38 stages to compare the multiplicative correction factors. The factor was effective at 28 stages on the first parity. The total correlation coefficients were 0.93832, 0.95058 and 0.95076 at the present correction factor, 17 stage and 28 stage, respectively. At second parity, the factor was higher in dry group 1 and 3 at 17 stage, and it was higher in dry group 2 at 28 stage compared with others. Therefore, the present study showed that the percent squared bias (PSB), which was calculated from the novel correction factor, was better than previously used correction factors. Also, the present study indicated that the bias of the novel correction factor was improved, and this factor could be more accurate compared with others.

• Journal of Family Resource Management and Policy Review
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• v.19 no.1
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• pp.1-21
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• 2015

Unlike daily hassles or minor stressors, immigration is an intense life event that may cause excessive stress. In particular, immigrant parents find themselves in a more stressful situation in that they experience stresses caused by immigration and stresses caused by parenting at the same time. The purpose of this study is to develop and validate an Immigrant Parental Stress Inventory (IPSI), that objectively and comprehensively assesses the stress experienced by immigrant parents within the Korean context. Based on the Immigrant Parental Stress Inventory developed within the American context, preliminary items were refined through a literature review and the discussions of experts and immigrant parents and were empirically validated with a sample of 203 immigrant parents residing in Korea. Through exploratory and confirmatory factor analysis, six main factors were identified (Factor1 Difficulties in communication, Factor2 Financial difficulties, Factor3 Difficulties in social adjustment, Factor4 Social discrimination, Factor5 Lack of social resources, Factor6 Difficulties in parenting). The IPSI was shown to be a psychometrically sound instrument that is capable of measuring immigrant parental stress within the Korean context. Social service professionals and researchers studying or working with immigrant families could use the IPSI to examine immigrant parental stress.

• Asian Journal for Public Opinion Research
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• v.2 no.1
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• pp.8-14
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• 2014

The Chinese economic growth rate has been much higher than many countries of the world for many years now. Nowadays, China is experiencing significant economic transformation and structural adjustment. Its speed of development is slowing, and housing and commodity prices are slowly rising. Consequently, a series of economic and social problems have come into being. Under these circumstances, how satisfied are Chinese people on the seven aspects of daily living such as Housing Situation, Household Income, Health, Family Life, Food, Human Relations and Job? The Media and Public Opinion Research Center of Fudan University (FMORC) conducted a phone survey of 606 people living in Beijing, the capital and political and cultural center of China, and Shanghai, the Chinese economic center. The survey results show that the overall satisfaction of Chinese people with their daily life is high. The levels of Family Life and Human Relations are on the top, those of Food, Health and Jobs are listed from the third to the fifth, and satisfaction levels of their Housing Situation and Household Income are on the bottom. The satisfaction levels of males with their Family Life and Health are higher than those of females. Age has a significantly negative correlation with satisfaction with personal health. Monthly income has positive relationships with four aspects of daily life - house income, job, house situation, and family life. Owning a house in cities is another important factor that influences satisfaction with the house situation, house income, food, and family life. Shanghai residents also show higher satisfaction with their health than Beijing residents.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2547-2556
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• 2012

Objectives: Smoking among university students represents a formidable and global public health challenge. We assessed the associations between socio-demographic, health and wellbeing variables as independent variables, with daily smoking, attempts to quit smoking, and agreement with smoking ban as dependent variables. Methods: A sample of 3258 undergraduate students from eleven faculties at Assiut University, Assiut, Egypt, completed a general health questionnaire. Results: Overall daily or occasional smoking in last three months prior to the survey was about 9% (8% occasional and 1% daily smokers), and smoking was generally more prevalent among males (male=17%, female=0.6%, P < 0.001). After adjustment for confounders, not having normal BMI and having a mother who completed at least bachelor's degree education was positively associated with daily smoking, and conversely, no history of illicit drug use was a protective factor. About 76% of smokers had attempted to quit smoking within the last 12 months prior to the survey. Although a large proportion of students agreed/strongly agreed with the banning of smoking at university altogether (87%), such agreement was less likely among smokers. Conclusion: There is need for implementation of non-smoking policies on university premises, as well as regular up-to-date information on, and the periodic/yearly monitoring of tobacco use by university students employing standardised data collection instruments and reference periods. In addition, it would be valuable to develop campus-based educational/ awareness campaigns designed to counteract tobacco advertisement directed towards young people in Middle East countries. Otherwise, the danger could be that the current relatively low smoking prevalence among university students may escalate in the future.