Sun-bin Kim

Purpose: Over the last 30 years, Serratia marcescens (S. marcescens) has emerged as an important pathogen, and a common cause of nosocomial infections. The aim of this study was to identify risk factors associated with mortality in patients with S. marcescens bacteremia. Materials and Methods: We performed a retrospective cohort study of 98 patients who had one or more blood cultures positive for S. marcescens between January 2006 and December 2012 in a tertiary care hospital in Seoul, South Kor

Facial expression is the most powerful and natural non-verbal emotional communication method. Facial Expression Recognition(FER) has significance in machine learning tasks. Deep Learning models perform well in FER tasks, but it doesn't provide any justification for its decisions. Based on the hypothesis that facial expression is a combination of facial muscle movements, we find that Facial Action Coding Units(AUs) and Emotion label have a relationship in CK+ Dataset. In this paper, we propose a

Purpose: Pentraxin 3 (PTX3) has been suggested to be a prognostic marker of mortality in severe sepsis. Currently, there are limiteddata on biomarkers including PTX3 that can be used to predict mortality in severe sepsis patients who have undergone successfulinitial resuscitation through early goal-directed therapy (EGDT). Materials and Methods: A prospective cohort study was conducted among 83 severe sepsis patients with fulfillment of all EGDT components and the achievement of final goal. Plas

The purpose of this paper is to remove the exponentially decaying DC offset in fault current waveforms using a deep neural network (DNN), even under harmonics and noise distortion. The DNN is implemented using the TensorFlow library based on Python. Autoencoders are utilized to determine the number of neurons in each hidden layer. Then, the number of hidden layers is experimentally decided by comparing the performance of DNNs with different numbers of hidden layers. Once the optimal DNN size has

We construct a model that explicitly considers nonparticipation as well as employment and unemployment in order to (i) generate gross worker flows as observed in the U.S. data, and (ii) re-examine the effects of labor market policies frequently evaluated in two state models. The distinction between unemployment and nonparticipation is workers' active/passive job search behavior. A key feature of the model is that we introduce heterogeneity in workers' productivity into the Mortensen and Pissarid

In this paper, we have studied a removing method of exponentially decaying DC offset by deep learning approach. Since conventional FIR filter is ineffective when time constant is predicted imprecisely, the main goal of this research was to make a deep neural network (DNN) that has adaptability to imprecise time constants. For the implementation of DNN, we used Tensorflow deep learning library with python language. Stochastic gradient descent (SGD) method was adopted for training algorithm, and t

This paper considers a heterogeneous agent dynamic general equilibrium model and analyzes effects of an increase in labor income tax rate on labor market and the aggregate variables in Korea. The fiscal policy regarding how the government uses the additional tax revenue may take the two forms: 1) general transfer and 2) earned income tax credit (EITC). The model features are as follows: 1) Workers are heterogeneous in their productivity. 2)Labor is indivisible, hence the analysis focuses on the

본 논문의 목적은 즈비카우스키(Lawrence Zbikowski)와 에버렛(Walter Everett)의 연구들을 검토하여 가곡 분석의 한 방법론을 도출하고 이를 리스트의 가곡 《오 사랑하라》(O lieb)의 분석에 적용함으로써 그 효용성을 증명하는 데에 있다. 즈비카우스키는 개념적 혼성이론(Conceptual Blending Theory)을 가곡 분석에 적용시켜 음악과 가사의 상호작용을 통해 만들어내는 새로운 의미 구성의 양상을 탐구하였다면, 에버렛은 주로 쉔커식 분석에 의존하면서 음악 표면적 사건 뿐 아니라 깊은 층위에서의 음악적 사건들을 시적 내용과 결부시키는 분석을 시도하였다. 필자는 실제적인 음악 분석을 통해 가사의 내용과 결부시킬 수 있는 음악적 특징들을 찾아내는 데에 있어서는 에버렛의 방법론을, 음악적 특징들을 시적 내용과연결시켜 설명하는 작업에는 즈비카우스키의 방법론을 발전적으로 수용함으로써 종합적이고 체계적인 분석모델을 제시하고자 하였다.

본 논문은 이질적 경제주체 중첩세대 일반균형 모형을 이용해 인구구조 변화로 인한 거시경제변수들의 이행경로를 전망하고, 생산연령인구 감소에 대응하기 위해 외국인력을 유입시키면 거시경제변수들의 이행경로가 얼마나 개선되는지 정량적으로 분석한다. 외국인력 유입 모의실험은 임시 체류와 영구적 체류로 구분하고, 각 실험에서 유입되는 외국인력도 비숙련 노동과 숙련 노동으로 구분해 4가지 시나리오를 상정한다. 분석 결과, 임시 체류 외국인력이 유입되는 경우 부양률이 크게 개선되어 일인당 생산의 경로가 개선된다. 반면, 영주 외국인력이 유입되는 경우 부양률 개선이 거의 나타나지 않고, 외국인들의 숙련도에 따라 일인당 생산 경로가 달라진다. 영주 체류하는 비숙련 외국인이 유입되면 일인당 생산은 오히려 악화되지만 숙련 외국인이 유입되면 일인당 생산은 개선된다. 그러나 개선정도는 임시 체류하는 숙련 외국인을 받아들이는 경우보다 낮다.

We construct a variant of the Mortensen-Pissarides matching model in which a worker's labor force participation decision is endogenous. The distinction between unemployment and nonparticipation, two non-working states, is due to a worker's job search behavior. A key feature of the model is that heterogeneity in productivity is introduced in order to characterize a worker's endogenous search intensity choice. A distinguishing result from the quantitative experiment of the unemployment insurance (

대장내시경에 의한 비장 파열은 매우 드물지만 사망을 초래할 수 있는 중한 합병증이다. 저자들은 검진 목적으로 대장내시경을 시행 받은 75세 여성에서 대장내시경으로 인하여 발생한 비장 파열을 경험하여 문헌고찰과 함께 보고한다.

agent model; (ii) taste and technology parameters in the DSGE model are not policy invariant; (iii) fiscal policy predictions from the DSGE model are inaccurate.

We develop a heterogeneous-agent general equilibrium model that incorporates both intensive and extensive margins of labor supply. A nonconvexity in the mapping between time devoted to work and labor services distinguishes between extensive and intensive margins. We consider calibrated versions of this model that differ in the value of a key preference parameter for labor supply and the extent of heterogeneity. The model is able to capture the key features of the empirical hours worked distribut