• 대한가정학회지
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• 제27권3호
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• pp.103-115
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• 1989

This study has been a study on changes seen in rural kitchens and factors affecting the modernization of agrarian kitchen space. The major findings were as follows: 1) The physical changes in kitchen design were carried out rapidly after 1977. This period coincided directly with the period in which kitchen improvement projects were fostered by the Sae Ma-Eul UNDONG 2) The study showed the macro factors contributing to changes in kitchen space to be government policy and industrialization. The study showed the micro factors influening kitchen space changes to be classified along socio-demographic lines and family lifestyle. 3) The factors affecting the degree of satisfaction with kitchens have been divided into socio-demographic and lifestyle characteristics. The level of education achieved by the husband was the most significant among socio-demographic characteristics. Most important among lifestyle characteristics were the cooking fuel used during the slack farm season, eating habits, heating fuel and eating space respectively. The results of this study have some implications in terms of government housing policy. Policymakers should be aware of suitable kitchen spaces to rural households in order to meet their housing needs and expectations.

• 한국임상약학회지
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• 제27권2호
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• pp.63-68
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• 2017

Neonates have large inter-individual variability in pharmacokinetic parameters of many drugs due to developmental differences. The aim of this study was to investigate the factors affecting the pharmacokinetic parameters of drugs, which are commonly used in critically ill neonates. Factors that reflect physiologic maturation such as gestational age, postnatal age, postconceptional age, birth weight, and current body weight were correlated with pharmacokinetic parameters in neonates, especially preterm infants. Comorbidity characteristics affecting pharmacokinetics in critically ill neonates were perinatal asphyxia, hypoxic ischemic encephalopathy, patent ductus arteriosus (PDA), and renal dysfunction. Administration of indomethacin or ibuprofen in neonates with PDA was associated with the reduced clearance of renally excreted drugs such as vancomycin and amikacin. Therapeutic hypothermia and extracoporeal membrane oxygenation were influencing factors on pharmacokinetic parameters in critically ill neonates. Dosing adjustment and careful monitoring according to the factors affecting pharmacokinetic variability is required for safe and effective pharmacotherapy in neonatal intensive care unit.

• Journal of Construction Engineering and Project Management
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• 제7권3호
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• pp.39-55
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• 2017

Preeminent performance of construction industry are unattainable with poor productivity resulting in time and cost over runs. Enhancement in productivity cannot be achieved without identifying and analyzing factors that adversely affect productivity. The objective therefore is to propose a productivity analysis model to quantify the probability of effect of factors influencing productivity by using fuzzy logic incorporated with relative importance index method, for various types of construction projects. To achieve this objective, a questionnaire survey was carried out targeting respondents of Indian construction industry, from four distinct projects, namely, residential, commercial, infrastructure and industrial projects. Based on questionnaire administered, the relative importance and ranks of factors demonstrated using relative importance index method. Probability assessment model to analyze productivity was then developed by using Fuzzy Logic Toolbox of MATLAB. The applicability of the proposed model was tested in seven construction projects and the probability of impact of factors on productivity evaluated. The results of application of model in the construction firms infers that the most contributing factor groups for most of the projects were discerned to be manpower, motivation and time group.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.211-217
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• 2021

The article analyzes the impact of factors affecting the environmental accounting of enterprises in the food and beverage industry in Vietnam, providing more empirical evidence on factors affecting environmental accounting. The research method uses a questionnaire survey of managers at all levels, chief accountants, and cost accountants, of 56 enterprises in the food and beverage industry. The survey results collected 268 questionnaires. After eliminating the invalid questionnaires due to many blank cells, the author chose to use 236 questionnaires. Quantitative research was carried out with SPSS 25 software. Research results show that all 6 factors positively affect environmental accounting, which includes Firm size, Stakeholders, Awareness/Knowledge of leaders, financial resources, Qualifications of staff, and Regulations, in which stakeholders and leaders' perceptions are the most influencing factors. Based on the research results, the author has proposed recommendations to improve the ability of enterprises to successfully implement environmental accounting in the food and beverage industry, thereby contributing to improving the operational efficiency of the food and beverage enterprises. The Vietnamese market is very potential, so the Government, authorities, customers, investors, etc., contribute to creating significant pressure to implement environmental accounting in food and beverage enterprises.

• Journal of Trauma and Injury
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• 제22권1호
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• pp.51-56
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• 2009

Purpose: The purpose of this study was to investigate environmental factors contributing to childhood home slip-down injuries. Methods: Among a total of 2,812 injured children in our Customer Injury Surveillance System (CISS), we performed a prospective study on 262 children with home slip-down injuries who visited the pediatric emergency department of Asan Medical Center between March 2008 and February 2009. We made a frequency analysis on parameters such as activities just before the accident, the presence of any obstacles or lubricant materials, specific home place in the home where the injuries occurred, flooring materials on which the slip-down happened, additional objects hit after slip down, the site and kind of injury, the duration of therapy, and the disposition. Results: Walking was the most common activity just before the injury. Because rooms and bathrooms were most common places in the home for slip down injuries, laminated papers/ vinyl floor coverings and tiles were the most common flooring materials used in the places where the injuries occured. Most commonly, no obstacles caused the children to slip down, but the furniture, stairs, doorsills, wetness, or soapy fluid followed after that. Over half of the children who slipped (58%) also collided with other than the floor itself after the slip-down, most common objects hit were the edges of the furniture, and doorsills, followed by stairways. The head and neck were the most commonly injured sites, and a laceration was the most common kind of injury. Most children needed less than 1 week of therapy, only 4 children (1.53%) admitted. There were no mortalities. Conclusion: The environmental factors contributing to slip-down injuries were the bathroom, laminated papers/vinyl floors, the furniture, stairs, doorsills, and wetness or soapy fluid. Especially, the furniture, stairs, and doorsills can be both primary obstacles and secondary collision objects. For the safety of our children, we must consider these factors on housing, when decorating or remodeling our house.

• 기본간호학회지
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• 제4권1호
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• pp.31-42
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• 1997

The factors that affect the nurse-patient interaction were identified. Sixty-six nurses participated in the cross-sectional survey. Based upon the literature, the factors were classified into 4 categories : the patient, the nurse, the family caregiver, and the situational factors. The data were collected with the open-and closed-ended questionnaire developed by researchers. In the closed-ended questionnaire, the significant factors differentiating the best-liked from the least-liked caring situation were found in all factors except the nurse factors. None of the nurse factors was found to be significant. In patient factors, the physically attractive stereotype was found to affect patient-nurse interaction. As expected, family caregiver factors were found to affect the nurse-patient interaction. The content analysis was done to identify the specific factors affecting nurse-patient interaction. In both of the best-liked and the least-liked caring situations, the patient factors were the most contributing causes as likely as 68.51% and 66.45%, respectively. Some factors that nurses perceived as causes for the best-liked and the least-liked to care were presented. In conclusion, these results show that nurses are influenced by stereotypes in caring patients. So, some programs to increase awareness of the biases of nurses are included in in-service education. Also the incentives to encourage nurses are needed.

• Clinical and Experimental Pediatrics
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• 제65권2호
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• pp.90-97
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• 2022

Background: Stunting is affected by various factors from mother and child. Previous studies assessed only one or more influencing variables. Unfortunately, nor the significant influence of maternal and child factors nor the indicators contributing to maternal and child factors that affect the stunting incidence have ever been analyzed. Purpose: This study analyzed the effect of maternal and child factors on stunting and the significant indicators that shape the maternal and child factors that impact stunting. Methods: This was a case-control study. Overall, 132 stunted children and 132 nonstunted children in Purbalingga Regency, Central Java Province, participated in the research. Direct interviews and medical record reviews were conducted to assess the studied variables. The research data were tested using the partial least squares structural equation with a formative model. Results: Maternal factors directly affected the occurrence of stunting (t=3.527, P<0.001) with an effect of 30.3%. Maternal factors also contributed a significant indirect effect on stunting through child factors (t=4.762, P<0.001) with an effect of 28.2%. Child factors affected the occurrence of stunting (t=5.749, P<0.001) with an effect of 49.8%. The child factor was influenced by maternal factor with an effect of 56.7% (t=10.014, P<0.001). The moderation analysis results demonstrated that maternal and child factors were moderate predictive variables of stunting occurrence. Conclusion: Child factors have more significant and direct effects on stunting than maternal factors but are greatly affected by them.

• 한국자동차공학회논문집
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• 제19권3호
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• pp.9-15
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• 2011

This study analyzed contributing factors affecting leg injury severity in pedestrian-vehicle crashes. A Binary Logistic Regression (BLR) method was used to identify the factors. Independent variables include characteristics for pedestrian, vehicle, road, and environmental conditions. The leg injury severity is classified into two classes, which are dependent variables in this study, such as 'severe' and 'minor' injuries. Pedestrian age, collision speed, and the height of vehicle were identified as significant factors for the leg injury. The probabilistic outcome of predicting leg injury severity can be effectively used in not only deriving pedestrian-related safety policies but also developing advanced vehicular technologies for pedestrian protection.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.217-218
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• 2017

본 연구에서는 SCM의 품질 향상에 기여하는 주요 요인들을 분석하였다. SCM에 영향을 미치는 요인은 환경적인 측면과 타기업과의 협력체계 측면으로 구성되는 외부적 요인과 민첩성 관리, 유연성 관리, 불확실성 관리 측면으로 구성되는 내부적 요인으로 구분하였다. 각각의 측면에서의 요인들이 어떻게 SCM 품질을 향상시킬 수 있는지를 분석하고, 전반적인 SCM 성과 향상을 위한 방안을 새롭게 제시하였다.

• Journal of Korea Artificial Intelligence Association
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• 제1권2호
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• pp.15-20
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• 2023

This study aims to enhance the accuracy of fine dust predictions by analyzing various factors within the local environment, in addition to atmospheric conditions. In the atmospheric environment, meteorological and air pollution data were utilized, and additional factors contributing to fine dust generation within the region, such as traffic volume and electricity transaction data, were sequentially incorporated for analysis. XGBoost, Random Forest, and ANN (Artificial Neural Network) were employed for the analysis. As variables were added, all algorithms demonstrated improved performance. Particularly noteworthy was the Artificial Neural Network, which, when using atmospheric conditions as a variable, resulted in an MAE of 6.25. Upon the addition of traffic volume, the MAE decreased to 5.49, and further inclusion of power transaction data led to a notable improvement, resulting in an MAE of 4.61. This research provides valuable insights for proactive measures against air pollution by predicting future fine dust levels.