• Title/Summary/Keyword: Family performance

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The Effect of Adolescents' Parents' Role Expectation and Role Performance on Parents and Children's Relationship (청소년이 지각한 부모 역할기대와 역할수행이 부모-자녀관계에 미치는 영향)

  • Park, Sang-Bin;Jeon, Gwee-Yeon;Bae, Moon-Jo
    • Journal of Families and Better Life
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    • v.29 no.5
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    • pp.85-105
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    • 2011
  • The purpose of this study was to investigate the variables on adolescents' perception of parents and children's relationship. Independent variables were the expectation of the parents' role, role performance by adolescents' perception and socio-demographic variables. In order to achieve this purpose, the survey was taken by 758 adolescents (middle & high school students) from Daegu. The data were analyzed by frequency, percentage, mean, Factor Analysis, Cronbach's ${\alpha}$, Pearson's correlation coefficient, Multivariate Analysis of Variance, Scheffe test for post hoc, and Multiple Regression. The major findings were: 1) Role expectation had significant differences in the grade, gender, birth order, father's level of education, father's job, mother's age, and household economy of socio-demographic variables. Role performance showed significant differences in the grade, gender, father's age, parents' level of education, father's job, and household economy of socio-demographic variables. 2) Adolescents' perception of parents and children's relationship was affected by role expectation and role performance.

API Feature Based Ensemble Model for Malware Family Classification (악성코드 패밀리 분류를 위한 API 특징 기반 앙상블 모델 학습)

  • Lee, Hyunjong;Euh, Seongyul;Hwang, Doosung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.3
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    • pp.531-539
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    • 2019
  • This paper proposes the training features for malware family analysis and analyzes the multi-classification performance of ensemble models. We construct training data by extracting API and DLL information from malware executables and use Random Forest and XGBoost algorithms which are based on decision tree. API, API-DLL, and DLL-CM features for malware detection and family classification are proposed by analyzing frequently used API and DLL information from malware and converting high-dimensional features to low-dimensional features. The proposed feature selection method provides the advantages of data dimension reduction and fast learning. In performance comparison, the malware detection rate is 93.0% for Random Forest, the accuracy of malware family dataset is 92.0% for XGBoost, and the false positive rate of malware family dataset including benign is about 3.5% for Random Forest and XGBoost.

NPD (New Product Development) Structural Features for Successful Product Proliferation (제품 다양성의 활성화를 위한 신제품 개발 조직의 구조적 특성)

  • Kim, Jung-Yoon;Hahn, Ju-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3373-3383
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    • 2009
  • The aim of the current study is to look at the mediating effects of structural features (i.e. decentralization, formalization, and specialization) on the relationship between product variety and the performance of product family. This study investigates the impact of decentralization and formalization for platform and derivative projects separately and in the context of the performance of the product family as a whole, as opposed to individual projects. In addition to relationships between people and groups, the current study considers physical element of an organization such as geographical location in which business tasks are conducted. The current study focuses on spatial differentiation which refers to the number of different sites or locations operated by an organization. Based on a cross-industry sample of 103 Korean manufacturers, this study examines the role of organizational structure features in which firms successfully increase product variety. The study examines that formalization in platform projects and decentralization in derivative projects enhance high variety firms' product family performance. The study finds significant mediating effect of spatial proximity on the relationship between product variety and product family performance.

Change in Palliative Performance Scale (PPS) Predicts Survival in Patients with Terminal Cancer

  • Oh, Jee Hye;Lee, Yong Joo;Seo, Min Seok;Yoon, Jo Hi;Kim, Chul Min;Kang, Chung
    • Journal of Hospice and Palliative Care
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    • v.20 no.4
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    • pp.235-241
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    • 2017
  • Purpose: The Palliative Performance Scale (PPS) is a widely used prognostic tool in patients with advanced cancer. This study examines the association between changes in PPS score and survival in patients with advanced cancer. Methods: We identified a cohort of 606 inpatients who died at a Korean university hospital's hospice/palliative care center. For each patient, the PPS score was measured twice according to a standard procedure: 1) upon admission, and 2) three days after admission (D3). "Change on D3" was defined as a difference between initial PPS and PPS on D3. We used a Cox regression modeling approach to explore the association between this score change and survival. Results: The changes in scores were associated with survival. A score change of >30% yielded a hazard ratio for death of 2.66 (95% CI 2.19~3.22), compared to a score change of ${\leq}30%$. PPS of ${\leq}30$ on D3 also independently predicted survival, with a hazard ratio of 1.67 (95% CI 1.38~2.02) compared to PPS of >30. Conclusion: A change of over 30% in PPS appears to predict survival in hospitalized patients with terminal cancer, even after adjustment for confounders. Changes in PPS may be a more sensitive indicator of impending death than a single PPS measured on the day of admission in terminal cancer patients. Further prospective study is needed to examine this important finding in other populations.

Establishing a Energy Utilization Database for Energy Performance Evaluation of Multi-Family Housing using District Heating (지역난방 공동주택의 에너지 성능 평가를 위한 공동주택 단지별 에너지사용량 Database 구축)

  • Jeong, Jaewook;Hong, Taehoon;Ji, Changyoon;Leigh, Seung-Bok
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.5
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    • pp.105-113
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    • 2015
  • In order to evaluate the energy performance of buildings, it is important to determine reliable information of energy utilization during operating phase. It is also required to establish the database which have the amounts of population deducted by objective filtering and analysis. In this study, all energy sources were applied to evaluate synthetically the energy performance of Multi-Family Housings(MFH) using district heating and the amounts of population were obtained sufficiently through data searching in Seoul and neighbor cities. Finally the database of source energy utilization and $CO_2$ emission in 325 MFH complexes were established through cross validation between data sources and statistical analysis. Additionally, further ideas have been proposed to improve existing MFH Management Information System.

Research on the Relationship between Movement and Volition of Soldier's Service Using Causal Loop (인과지도 분석을 통한 이주가 직업군인의 복무의지에 미치는 영향에 관한 연구)

  • Ko, Seong-Pil;Lee, Jeong-Dong;Choi, Jeong-Hwan;Jung, Euy-Young
    • Korean System Dynamics Review
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    • v.14 no.1
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    • pp.69-87
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    • 2013
  • The purpose of this paper is to explore the relationship between the number of relocation and volition of soldier's service based on system thinking perspective using a causal loop analysis. Research adopting system dynamics concerning on the volition of soldier's service and relocation has not been studied yet. Causal loops are analyzed and evaluated by focusing on soldier's military performance, stress of family members and family members' welfare service. Result of this study is that soldier's periodical movement is indispensable factor maintaining military life. Most of the married soldier's life conditions are worse than ordinary people. As the number of relocation is increasing family of soldier's stress is increased by anxiety for welfare conditions is supposed to relocate. The number of movement to another place of soldier's children is more than two times and the result of learning achievement is worse than ordinary students. This kind of stress can influence the married soldier's military performance and stress. So the welfare service should be expanded to an official residence, education, facility, district network service and so on.

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The Effects of Economic Condition and the Parenting on Children's Social Adjustment in Divorced Families - A Comparison of Custodial Fathers and Mothers - (이혼가정의 경제상태 및 양육행동이 자녀의 사회적 적응에 미치는 영향 - 양육부/모의 차이를 중심으로 -)

  • Kim, Young-Hee;Son, Jeong-Yeon
    • The Korean Journal of Community Living Science
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    • v.16 no.3
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    • pp.47-55
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    • 2005
  • The purposes of this study are to examine the economic conditions and parenting of custodial fathers/mothers and to explain their impacts on the children's social adjustment after divorce. A total of 185 custodial parents divorced within the last 5 years completed a structured questionnaire. Children's social adjustment was the dependent variable in this study and was defined as their school performance and behavior problems. Results show that compared with divorced custodial fathers, divorced custodial mothers demonstrate more effective parenting, but there were no differences in economic conditions between them. In addition, children in single-father divorced families have lower school grades and more behavior problems than those in single-mother divorced families. Results also indicate that the economic conditions and parenting have different effects for children across family type. For children raised with a custodial father in divorced families, the economic conditions and the divorce duration are associated with lower school grades and behavior problems. For children with a custodial mother, however, the effective of parenting and the children's age have significant effects on the children's social adjustment after the parent divorced. Based on these results, this study proposes strategies for the improvement of children's adjustment in divorced families.

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A Review of Research on Health Promoting Behaviors of Korean Older Adults (한국 노인의 건강증진행위에 대한 문헌분석 연구)

  • Gu, Mee-Ock
    • Perspectives in Nursing Science
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    • v.3 no.1
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    • pp.17-34
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    • 2006
  • This study was done to suggest directions for research and interventions of health promoting behaviors in Korean older adults in the future. Thirty seven articles for health promoting behaviors in Korean older adults were reviewed and analyzed. Findings are summarized as follows: 1) The total scores of the HPLP in Korean older adults were 2.30-2.44 out of 4 points. In the subscale, the highest degree of performance is nutrition, following interpersonal support, self actualization, stress management, health responsibility and the lowest degree of performance was exercise. 2) The total scores of the Health Behavior Assessment Tool of the Korean Elders were 2.87-3.2 out of 4 points. 3) Among the characteristics of older adults, monthly pocket money, previous job had consistently significant relationships with health promoting behaviors. Sex, job and presence of disease were consistently insignificant relationships with health promoting behaviors. 4) Perceived health status, self efficacy, self esteem, family support and social support had consistently significant correlations with health promoting behaviors. 5) In regression analysis, self efficacy, family support, depression, self esteem were the most powerful predictors of health promoting behavior in more than two articles. Predictors accounted for 14.2-65.2 % of the variance in health promoting behaviors of Korean older adults. On the basis of above findings, It is necessary to develop the interventions for more regular practice of the health promoting behaviors in Korean older adults. The interventions are recommended to focus increasing the exercise & health responsibility and to use the strategies to increase self esteem, self efficacy, social support including family support.

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IRK vs Structural Integrators for Real-Time Applications in MBS

  • Dopico D.;Lugris U.;Gonzalez M.;Cuadrado J.
    • Journal of Mechanical Science and Technology
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    • v.19 no.spc1
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    • pp.388-394
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    • 2005
  • Recently, the authors have developed a method for real-time dynamics of multibody systems, which combines a semi-recursive formulation to derive the equations of motion in dependent relative coordinates, along with an augmented Lagrangian technique to impose the loop closure conditions. The following numerical integration procedures, which can be grouped into the so-called structural integrators, were tested : trapezoidal rule, Newmark dissipative schemes, HHT rule, and the Generalized-${\alpha}$ family. It was shown that, for large multi body systems, Newmark dissipative was the best election since, provided that the adequate parameters were chosen, excellent behavior was achieved in terms of efficiency and robustness with acceptable levels of accuracy. In the present paper, the performance of the described method in combination with another group of integrators, the Implicit Runge-Kutta family (IRK), is analyzed. The purpose is to clarify which kind of IRK algorithms can be more suitable for real-time applications, and to see whether they can be competitive with the already tested structural family of integrators. The final objective of the work is to provide some practical criteria for those interested in achieving real-time performance for large and complex multibody systems.

K-mer Based RNA-seq Read Distribution Method For Accelerating De Novo Transcriptome Assembly

  • Kwon, Hwijun;Jung, Inuk
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.8
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    • pp.1-8
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    • 2020
  • In this paper, we propose a gene family based RNA-seq read distribution method in means to accelerate the overal transcriptome assembly computation time. To measure the performance of our transcriptome sequence data distribution method, we evaluated the performance by testing four types of data sets of the Arabidopsis thaliana genome (Whole Unclassified Reads, Family-Classified Reads, Model-Classified Reads, and Randomly Classified Reads). As a result of de novo transcript assembly in distributed nodes using model classification data, the generated gene contigs matched 95% compared to the contig generated by WUR, and the execution time was reduced by 4.2 times compared to a single node environment using the same resources.