• Title/Summary/Keyword: longitudinal studies

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Factors Infulencing the Dependonce of the Elderly Living in Community (지역사회 거주 노인의 의존성에 영향을 미치는 요인)

  • Park, Kyong-Ok
    • Research in Community and Public Health Nursing
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    • v.17 no.3
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    • pp.346-353
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    • 2006
  • Purpose: The Purpose of this study was to analyze factors influencing the dependence of the elderly. Method: This research was designed as a descriptive study. The subjects were 103 elders living in Seoul. Data were collected from December 2004 through January 2005. The instrument used in this study was the elderly dependence scale developed by the Park (2004). Collected data were analyzed using SPSS 11.0 for Windows. Descriptive statistics, independent t-test, ANOVA and multiple regression were done. Results: In the results of regression, residence, education, vision and age were extracted as factors influencing the dependence of the elderly. The regression model explained 33% of the variance. Conclusion: Considering the results above, we need studies on the dependence of the elderly using more independent variables, on the changing pattern of dependence and influencing factors by longitudinal design, and on the elderly with functional limitations or cognitive impairment.

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Analysis of recurrent event data with incomplete observation gaps using piecewise models

  • Kim, Yang-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.5
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    • pp.1117-1125
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    • 2014
  • In a longitudinal study, subjects can experience same type of events repeatedly. Also, there may exist intermittent dropouts resulting in repeated observation gaps during which no recurrent events are observed. Furthermore, when such observation gaps have incomplete forms caused by the unknown termination times of observation gaps, ordinary approaches result in biased estimates. In this study, we investigate the effect of ignoring observation gaps and propose methods to overcome this problem. For estimating the distribution of unknown termination times, an interval-censored mechanism is applied and two cases are considered. Simulation studies are carried out to evaluate the performance of the proposed method. Conviction data of young drivers with several suspensions are analyzed to illustrate the suggested approach.

A Study on the Welding Distortion Analysis According to Rib Height in Fillet Welding (필릿용접에서 리브높이에 따른 용접변형 해석에 대한 연구)

  • Kim, Yong-Rae;Song, Gyu-Yeong;Wang, Chao;Kim, Jae-Woong
    • Journal of Welding and Joining
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    • v.31 no.6
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    • pp.107-111
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    • 2013
  • The welding distortion is caused by welding heat in the structures which are widely used in shipbuilding and automotive industries, thus many researchers have proposed such methods to control the welding distortion through trials and numerical studies. The welding distortion has been the main cause of low productivity due to the structural strength degradation, apparent flaw, additional deformation caused by the process followed the current assembly step, and the increase of correction workload. The deformation of fillet welding is investigated in this study, and the influence of the rib height on the welding distortion is verified through the actual experiment. And the numerical analysis model using the FE software MSC.marc for analysis of welding distortion is proposed.

Two-Mode Nonlinear Combustion Instability Analysis (2-모드 비선형 연소 불안정성 해석)

  • 윤현걸
    • Journal of the Korean Society of Propulsion Engineers
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    • v.2 no.1
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    • pp.41-49
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    • 1998
  • A nonlinear mathematical model of longitudinal combustion instability appropriate for ramjets and augmenters was developed based on modal analysis. The model was limited to a two-mode formulation. The associated differential equations were solved both analytically and numerically. The two-mode nonlinear model is capable of predicting the bootstrapping effect which characterizes nonlinear velocity-sensitive combustion response. Also, parametric studies were performed.

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Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods

  • Kim, Jeong-O;Kwon, Choong-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.7
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    • pp.135-141
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    • 2019
  • The purpose of this study is to extract the key words from the list of research subjects related to 'hotel workers' published in recent 10 years(2009~2018) by using the language network analysis method and to confirm the relation between the key words. In this paper, we propose a semantic network analysis that can overcome limitations of longitudinal study, analyze the recent research trends, and widely use as a research model. The results of this study are as follows ; First, in analyzing major key words in the title of 'Hotel Employer' in recent 10 years, the major keyword of job satisfaction(40), special grade(26), organizational commitment(20), emotional labor(19), service(12), restaurant(10), and turnover intention(9). Second, we analyzed the relation of language network among major key words extracted from the study title of 'hotel workers'. Such a research process is expected to grasp the trends of research related to 'hotel workers' and give implications for the future direction of related research.

The Effects of Depression on Mobile Phone Dependency Among Elementary School Students : Testing the Mediating Effect of Self-esteem and the Moderating Effect of Gender

  • Kim, Kyung Ho;Choi, Young Ho
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.211-218
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    • 2018
  • The purpose of the present study was to test the impact of depression on mobile phone dependency among elementary school students, to test the mediating effect of self-esteem between depression and mobile phone dependency, and to draw out theoretical and practical implications in terms of preventing or reducing mobile phone dependency. Based on previous studies, a longitudinal research model between the aforementioned three variables has been identified. The present study analyzed the 4th, 5th, and 6th wave data from Korea Children and Youth Panel Study 2010 (KCYPS 2010). The major results were as follows. First, depression could have a significant negative effect on self-esteem. Second, self-esteem could have a significant negative effect on mobile phone dependency. Third, the influence of depression on mobile phone dependency was not significant. Fourth, gender could be a significant moderating variable between depression and self-esteem. Finally, a number of implications of these findings were also discussed.

Dynamic response of pipe pile embedded in layered visco-elastic media with radial inhomogeneity under vertical excitation

  • Cui, Chun Y.;Meng, Kun;Wu, Ya J.;Chapman, David;Liang, Zhi M.
    • Geomechanics and Engineering
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    • v.16 no.6
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    • pp.609-618
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    • 2018
  • A new mechanical model for predicting the vibration of a pipe pile embedded in longitudinally layered visco-elastic media with radial inhomogeneity is proposed by extending Novak's plain-strain model and complex stiffness method to consider viscous-type damping. The analytical solutions for the dynamic impedance, the velocity admittance and the reflected signal of wave velocity at the pile head are also derived and subsequently verified by comparison with existing solutions. An extensive parametric analysis is further performed to examine the effects of shear modulus, viscous damping coefficient, coefficient of disturbance degree, weakening or strengthening range of surrounding soil and longitudinal soft or hard interbedded layer on the velocity admittance and the reflected signal of wave velocity at the pile head. It is demonstrated that the proposed model and the obtained solutions provide extensive possibilities for practical application compared with previous related studies.

Restricted maximum likelihood estimation of a censored random effects panel regression model

  • Lee, Minah;Lee, Seung-Chun
    • Communications for Statistical Applications and Methods
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    • v.26 no.4
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    • pp.371-383
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    • 2019
  • Panel data sets have been developed in various areas, and many recent studies have analyzed panel, or longitudinal data sets. Maximum likelihood (ML) may be the most common statistical method for analyzing panel data models; however, the inference based on the ML estimate will have an inflated Type I error because the ML method tends to give a downwardly biased estimate of variance components when the sample size is small. The under estimation could be severe when data is incomplete. This paper proposes the restricted maximum likelihood (REML) method for a random effects panel data model with a censored dependent variable. Note that the likelihood function of the model is complex in that it includes a multidimensional integral. Many authors proposed to use integral approximation methods for the computation of likelihood function; however, it is well known that integral approximation methods are inadequate for high dimensional integrals in practice. This paper introduces to use the moments of truncated multivariate normal random vector for the calculation of multidimensional integral. In addition, a proper asymptotic standard error of REML estimate is given.

Scarring the early-life microbiome: its potential life-long effects on human health and diseases

  • Hyunji Park;Na-Young Park;Ara Koh
    • BMB Reports
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    • v.56 no.9
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    • pp.469-481
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    • 2023
  • The gut microbiome is widely recognized as a dynamic organ with a profound influence on human physiology and pathology. Extensive epidemiological and longitudinal cohort studies have provided compelling evidence that disruptions in the early-life microbiome can have long-lasting health implications. Various factors before, during, and after birth contribute to shaping the composition and function of the neonatal and infant microbiome. While these alterations can be partially restored over time, metabolic phenotypes may persist, necessitating research to identify the critical period for early intervention to achieve phenotypic recovery beyond microbiome composition. In this review, we provide current understanding of changes in the gut microbiota throughout life and the various factors affecting these changes. Specifically, we highlight the profound impact of early-life gut microbiota disruption on the development of diseases later in life and discuss perspectives on efforts to recover from such disruptions.

Finite element analysis for longitudinal vibration of nanorods based on doublet mechanics

  • Ufuk Gul;Metin Aydogdu
    • Advances in nano research
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    • v.15 no.5
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    • pp.411-422
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    • 2023
  • In the present study, the axial vibration of the nanorods is investigated in the framework of the doublet mechanics theory. The equations of motion and boundary conditions of nanorods are derived by applying the Hamilton principle. A finite element method is developed to obtain the vibration frequencies of nanorods for different boundary conditions. A two-noded higher order rod finite element is used to solve the vibration problem. The natural frequencies of nanorods obtained with the present finite element analysis are validated by comparing the results of classical doublet mechanics and nonlocal strain gradient theories. The effects of rod length, mode number and boundary conditions on the axial vibration frequencies of nanorods are examined in detail. Mode shapes of the nanorods are presented for the different boundary conditions. It is shown that the doublet mechanics model can be used for the dynamic analysis of nanotubes, and the presented finite element formulation can be used for mechanical problems of rods with unavailable analytical solutions. These new results can also be used as references for the future studies.