• Journal of The Korean Society of Agricultural Engineers
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• v.53 no.3
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• pp.59-64
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• 2011

The objective of the study is to develop life cycle inventory (LCI) database of dam, a major facility for irrigation water supply. The types of database developed are three out of nine dams according to the size of the wate r storage capacity: two kinds larger than 500,000 $m^3$ depending on gate for discharging (Type 1) and the other dam smaller than 500,000 $m^3$ (Type 2). According to the LCI analysis, type 1 larger than 500,000 $m^3$ storage capacity with gate has the lowest environment impact in the 6 impact categories. The impact of the type 1 accounts for 7~35 % of the type 2 for supplying irrigation water. Comparing with the environment impacts of water for other uses such as drinking and industrial water, the impacts of 1 $m^3$ irrigation water supply is 4~45 % of the one for industrial water supply and 1~16 % of the drinking water's. The three types of LCI DB on the irrigation water by dams will be useful in the application of Life Cycle Assessment in agricultural products and environmental labelling including carbon footprint since it is complied to the guidelines of LCI DB constr uction issued by Ministry of Environment and Ministry of Knowledge Economy.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.506-512
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• 2006

In this paper, we propose a lot-sizing and scheduling problem that seeks to minimize the sum of production cost and inventory cost over a given planning horizon while considering idle state of a machine in a batch production system. For this problem, we develop an integer programming model. And, we develop an efficient 2-phase heuristic algorithm to find a high quality feasible solution within reasonable time bounds. In the first phase, we seek to minimize the production cost by assigning batches to machines. Then, in the second phase, we find a production sequence of batches that reduces the inventory cost, while considering adding or deleting idle states between batches. Computational results show that the developed heuristic algorithm finds excellent feasible solutions within reasonable time bounds. Also, we could significantly reduce the total cost consisting of production cost and inventory cost by using the developed heuristic algorithm at a real manufacturing system that produces zinc alloys.

• Journal of Forest and Environmental Science
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• v.24 no.3
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• pp.119-126
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• 2008

Growth and yield prediction methods, ranging from whole-stand models to individual-tree models, have been developed for forest types managed for wood production. The resultant models are used for a host of purposes including inventory updating, management planning, evaluation of silvicultural alternatives, and harvest scheduling. Because of the large investment in developing growth and yield models for improved genotypes and silvicultural practices for loblolly pine (Pinus taeda) in the Southern United States, this region serves to illustrate approaches for modelling intensively managed forests. Analytical methods and computing power generally do not restrict development of reliable growth and yield models. However, long-term empirical observations on stand development, which are time consuming and expensive to obtain, often limit modelling efforts. Given that growth and yield models are used to project present volumes and to evaluate alternative treatment effects, data of both the inventory type and the experimental type are needed. Data for developing stand simulators for loblolly pine plantations have been obtained from a combination of permanent plots in operational forest stands and silvicultural experiments; these data collection efforts are described and summarized. Modelling is essential for integrating and synthesizing diverse information, identifying knowledge gaps, and making informed decisions. The questions being posed today are more complex than in the past, thus further accentuating the need for comprehensive models for stand development.

• Anxiety and mood
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• v.10 no.2
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• pp.103-107
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• 2014

Objective : The objective of this study was to examine the association between childhood adversity and parenting attitude and neuroticism in adulthood. Methods : Forty nine women were recruited from community and completed Early Trauma Inventory-Short Form (ETI-SF). We compared scores on the Maternal Behavior Research Instrument (MBRI), Neuroticism of NEO Personality Inventory (NEO-PI), and Beck Depression Inventory (BDI) between women with and without childhood adversity. Results : Compared to women without childhood adversity, women with childhood adversity showed more rejecting parenting attitude and higher Depression and Self-Consciousness scores on Neuroticism domain of NEO-PI. Total ETI-SF scores and emotional abuse scores were positively correlated with rejecting attitude scores on the MBRI and BDI scores. Physical abuse scores were positively correlated with rejecting attitude scores. There were positive correlations between rejecting attitude scores on the MBRI, Neuroticism scores on the NEO-PI, and BDI scores. Conclusion : Our results suggest that childhood adversity may have a negative impact on parenting attitude and emotional state in adulthood. For girls who experienced traumatic event, early intervention is needed to prevent the development of neurotic temperament and rejecting parenting in adulthood.

• 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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.4
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• pp.134-139
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• 2008

Most approaches for continuous review inventory problem need tables for loss function and cumulative standard normal distribution. Furthermore, it is time-consuming to calculate order quantity (Q) and reorder point (r) iteratively until required values are converged. The purpose of this paper is to develop a direct method to get the solution without any tables. We used approximation approaches for loss function and cumulative standard normal distribution. The proposed method can get the solution directly without any iterative procedure for Q, r and without any tables. The performance of the proposed approach is tested by using numerical examples. The budget constraint of this paper assumes that purchasing costs are paid at the time an order is arrived. This constraint can be easily replaced by capacity constraint or budget constraint in which' purchasing costs are paid at the time an order is placed.

• Child Health Nursing Research
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• v.25 no.1
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• pp.9-16
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• 2019

Purpose: Childhood leukemia is a serious trauma affecting both adolescents and their parents, who experience painful process. However, adolescents with leukemia and their parents also experience positive changes, which is referred to as posttraumatic growth. We examined posttraumatic growth, core beliefs, impact of event, and event-related rumination in adolescents within 5 years of a diagnosis of childhood leukemia and their parents. Methods: The participants were 68 adolescents with childhood leukemia (aged 13~18 years) and their parents, who were recruited from C university hospital in Korea from May to September 2016. The Posttraumatic Growth Inventory, Core Belief Inventory, Impact of Event Scale-Revised, and Event-related Rumination Inventory were completed by the adolescents and their parents. The mean scores and correlations between variables were investigated for both set of participants. Results: Parents showed significantly higher levels of posttraumatic growth, disruption of core beliefs, impact of event, and invasive rumination than adolescents. Disruption of core beliefs and deliberate rumination were positively correlated with posttraumatic growth in both groups. Conclusion: Nursing intervention programs that involve modifying core beliefs and inducing a positive thought can help adolescents with leukemia and their parents grow after traumatic events.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.5 no.1
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• pp.79-84
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• 2007

Inventories of soluble elements in the gap and grain boundaries of domestic used PWR fuel pellets were measured to estimate the quantities of radionuclides that are liable to be rapidly released into the groundwater of a disposal site. The gap inventory of cesium for the pellets in the used fuel with a burn-up range of 45 to 66 GWD/MTU showed 0.85 to 1.7% of its total inventory, which was close to 1/6 to 1/3 of the fission gas release fraction (FGRF). However, the amounts of cesium released from the gaps of the pellets below 40 GWD/MTU of a burn-up and less than 1% FGRF were so erratic that the gap inventory could not be defined by ie FGRF. Strontium inventories in the gap and grain boundaries of the pellets in the same rod were not significantly varied, and the iodine inventory in the gap of the used PWR fuels was estimated to be less than or the same as the FGRF.

• The Journal of Engineering Geology
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• v.22 no.2
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• pp.223-231
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• 2012

Many cut slopes are located near national highways, resulting in large annual damage to infrastructure from the collapse of cut slopes. Therefore, to effectively maintain cut slopes, high-risk slopes should be identified and monitored. In this paper, we evaluate the effectiveness of the management of cut slopes using the risk score calculated from cut-slope inventory data. The inventory survey, as a simple assessment of the characteristics of various slopes, was performed to collect basic data that could be obtained visually in the field for the management of cut slopes. This method is not a precise survey, and it was composed of the general status and characteristics of cut slopes, the inspector's assessment, and inventory data in order to estimate a risk score for each slope. In this paper, we calculated the risk score by investigating the present status of cut slopes adjacent to 10,461 national roads. In order to evaluate the effectiveness of using risk score data, we compared the score for stable slopes with those of failed cut slopes. Failed cut slopes occurred in sections with the highest risk score. The results show that risk score derived from the inventory survey of cut slopes are useful in the management of cut slopes with risk of failure and in monitoring large numbers of cut slopes.

• Journal of Korean Society of Forest Science
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• v.99 no.6
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• pp.827-835
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• 2010

Reliable forest statistics provides important information to meet the UNFCCC. In this respect, the national forest inventory has played a crucial role to provide the reliable forest statistics for several decades. However, the previous forest statistics calculated by administrative district has not provided spatial information in a small scale. Thus, this study focused on developing models to estimate an explicit spatial distribution of forest growing stock. For this, first, stand volume model by stand types was developed using National Forest Inventory(NFI) data. Second, forest type map was integrated with this model. NFI data were used to calculate plot-level stand volume and basal area. The stand types of NFI plot including the species composition, age class, DBH class and crown density class are very crucial data to be connected with forest type map. Finally, polygonlevel stand volume map was developed with spatial uncertainty map. Average stand volume was estimated at 85.7 $m^3$/ha in the study area, and at 95% significance interval it was ranged from 79.7 $m^3$/ha to 91.8 $m^3$/ha.