• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.81.2-81.2
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• 2010

The origin of galactic angular momentum is commonly explained as a result of tidal torques of neighbouring protogalaxies on the forming galactic halo. In this context, the environment plays a preponderant role establishing the total angular momentum of present day galaxies. For the last four decades, most of the observational studies focused their attention on the spatial orientation of galaxies in filaments, groups or clusters, leaving behind the magnitude of the angular momentum. We have implemented a simple model to account for the spin of disk galaxies that allow us to obtain an estimate for any galaxy requiring a minimum of information. Applying this method to a sample of galaxies extracted from the Sloan Digital Sky Survey, we have been studying angular momentum distributions of galaxies in different environments. In this talk I will present some results for galaxies immersed in different environments, spanning three orders of magnitude in environmental density, galaxies having nearby companions and clustered galaxies.

• Journal of Korean Academy of Nursing
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• v.29 no.4
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• pp.841-854
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• 1999

This study tried to the answer to the question : “How does the human communication happen between clinical nurse and patient\ulcorner” To answer that, a micro-ethnographic research method was used and I performed field work at the orthopedic ward in one Korean metropolitan city. After analysis of interview data, observational data and field notes, I could understand that clinical nurse-patient communication performed for clinical decision making, providing patient education and emotional support. Prepared nurse communicate with patient more effectively, eventually can establish more trust relationship with patient. Conclusively I discussed about the way of nurse's skill acquisition, need of collaborative conference with doctor and nurse, and curriculum development to promote nurses's understanding of human.

• Clinical and Experimental Pediatrics
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• v.63 no.1
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• pp.3-7
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• 2020

High-flow nasal cannula (HFNC) is a relatively safe and effective noninvasive ventilation method that was recently accepted as a treatment option for acute respiratory support before endotracheal intubation or invasive ventilation. The action mechanism of HFNC includes a decrease in nasopharyngeal resistance, washout of dead space, reduction in inflow of ambient air, and an increase in airway pressure. In preterm infants, HFNC can be used to prevent reintubation and initial noninvasive respiratory support after birth. In children, flow level adjustments are crucial considering their maximal efficacy and complications. Randomized controlled studies suggest that HFNC can be used in cases of moderate to severe bronchiolitis upon initial low-flow oxygen failure. HFNC can also reduce intubation and mechanical ventilation in children with respiratory failure. Several observational studies have shown that HFNC can be beneficial in acute asthma and other respiratory distress. Multicenter randomized studies are warranted to determine the feasibility and adherence of HFNC and continuous positive airway pressure in pediatric intensive care units. The development of clinical guidelines for HFNC, including flow settings, indications, and contraindications, device management, efficacy identification, and safety issues are needed, particularly in children.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2000.10a
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• pp.359-364
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• 2000

The paper presents the results of a study on the desired observing system which setting the high-level objectives for an integrated, sustained, national coastal observing system. Knowledge of the coastal zone is demanded by many constituencies, including fishermen, fisheries managers and climatologist, harbor pilots, coastal zone managers, environmental protection professionals etc. Many of these needs are being partially met by coastal zone observing system elements, both satellite and in situ. Nevertheless, these have not enough developed in an integrated manner and have been funded and operated to meet their own purpose. Thus, this study presents the development and application method for a national coastal zone observing system, which is integration of disparate observational systems and data sets to maximize their utility for many users and purposes.

• The Bulletin of The Korean Astronomical Society
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• v.39 no.1
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• pp.28-28
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• 2014

Type Ia supernovae (SNe Ia) have provided the first evidence that the Universe is accelerating. Nevertheless, the nature of the progenitors has remained a mystery, indeed controversial. In this talk I will first summarize the main supernova explosion mechanisms and the observational classification of supernovae. I will show how SNe Ia can be used as standardizable distance candles and discuss possible limitations of the method. In the main part of the talk I will discuss the main progenitor models that have been proposed, emphasizing the problems and advantages of each, and how they can be observationally tested. I will then present some relatively recent discoveries by the Palomar Transient Factory and most recently in M82 that directly constrain the progenitors in a few cases.

• Journal of Korean Academy of Nursing
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• v.3 no.2
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• pp.101-109
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• 1973

The present study in the view of humanistic psychology was attempted to seek the purpose of study, the relationship between nurses′working efficiency that measured by an observational working efficiency scale and their subjective perception. "Perceptual orientation scale"(Choy, Chung Hoon 1971) was administered to 100 nurses during the Period of May to July 1972, and the relationship with their ratings by their supervising head nurses. Educational background, ages, and their lengths of caller were compared with their subjective perceptions. All the relationship were calculated by the method of chi-squares and correlational coefficients. The results of this study are summarized as follow: 1. There is no significant relationship between nurses′subjective perceptions and their working ratings. 2. There is significant relationship between nurses′subjective perceptions and their educational backgrounds. 3. There is no significant relationship between nurses′subjective perceptions and their lengths of career. 4. There is no significant relationship between nurses′subjective perceptions and their ages. The results of the present study are interpreted to the sampled research group of this study and are not to be extended to any other groups.

• Publications of The Korean Astronomical Society
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• v.30 no.2
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• pp.315-319
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• 2015

We consider a late decaying dark matter model in which cold dark matter begins to decay into relativistic particles at a recent epoch ($z{\leqslant}1$). A complete set of Boltzmann equations for dark matter and other relevant particles particles is derived, which is necessary to calculate the evolution of the energy density and density perturbations. We show that the large entropy production and associated bulk viscosity from such decays leads to a recently accelerating cosmology consistent with observations. We determine the constraints on the decaying dark matter model with bulk viscosity by using a MCMC method combined with observational data of the CMB and type Ia supernovae.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1261-1263
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• 2003

Based on twelve observational stations low meteorological visibility (LMV) data during November 2002 to April 2003, the spatial distribution of LMV over Hongkong area (113.8$^{\circ}$ E-114.4$^{\circ}$ E, 22.1$^{\circ}$ N-22.4$^{\circ}$ N) is studied, using a PCA method. Optical spectrum of NOAA-16 associated with LMV shows that the significant effect factors correlated with LMV in the leading mode are the difference or rate between the visible and near-IR channels and single visible channel. A successful retrieval of LMV is done and a regression equation with a multiple correlation coefficient of 0.67 is obtained.

• Communications for Statistical Applications and Methods
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• v.23 no.6
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• pp.555-562
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• 2016

Interval censored data often occur in an observational study where the subject is followed periodically. Instead of observing an exact failure time, two inspection times that include it are available. There are several methods to analyze interval censored failure time data (Sun, 2006). However, in the presence of competing risks, few methods have been suggested to estimate covariate effect on interval censored competing risk data. A sub-distribution hazard model is a commonly used regression model because it has one-to-one correspondence with a cumulative incidence function. Alternatively, Klein and Andersen (2005) proposed a pseudo-value approach that directly uses the cumulative incidence function. In this paper, we consider an extension of the pseudo-value approach into the interval censored data to estimate regression coefficients. The pseudo-values generated from the estimated cumulative incidence function then become response variables in a generalized estimating equation. Simulation studies show that the suggested method performs well in several situations and an HIV-AIDS cohort study is analyzed as a real data example.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.66.2-66.2
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• 2020

We propose a deep learning analysis technique with a convolutional neural network (CNN) to predict the evolutionary track of the Epoch of Reionization (EoR) from the 21-cm differential brightness temperature tomography images. We use 21cmFAST, a fast semi-numerical cosmological 21-cm signal simulator, to produce mock 21-cm maps between z = 6 ~ 13. We then apply two observational effects, such as instrumental noise and limit of (spatial and depth) resolution somewhat suitable for realistic choices of the Square Kilometre Array (SKA), into the 21-cm maps. We design our deep learning model with CNN to predict the sliced-averaged neutral hydrogen fraction from the given 21-cm map. The estimated neutral fraction from our CNN model has great agreement with the true value even after coarsely smoothing with broad beam size and frequency bandwidth and heavily covered by noise with narrow beam size and frequency bandwidth. Our results show that the deep learning analyzing method has the potential to reconstruct the EoR history efficiently from the 21-cm tomography surveys in future.