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A High-Resolution Stereo 18-Bit 4th Order Sigma-Delta D/A Converter for Digital Audio
Sunwoo,Jun,Kim,Young SaEng,Park,Sung Uk,Lee,Seong Ho,Kim,Suk Ki 대한전자공학회 1995 ICVC : International Conference on VLSI and CAD Vol.4 No.1
This paper describes an 18-bit Stereo Digital to Analog Converter(DAC) for Digital Audio equipments. The circuit consists of 2 stage, 8 tunes Digital Interpolation Filter, 128 Dines 4th Order Sigma-Delta Modulator and 1bit DAC for Pulse Density Modulation(PDM) Outputs. The interpolation filter has +/-0.0005dB Passband ripple and 110dB Stopband rejection on key specifications. The measured Dynamic Range of the DAC is 96dB and S/(N+D) is 91dB. Die size is 22.1㎟ using 0.8um standard CMOS process (single poly, double metal).
A Case of Juvenile Huntington Disease in a 6-Year-Old Boy
Sunwoo, Jun-Sang,Lee, Soon-Tae,Kim, Manho The Korean Movement Disorder Society 2010 Journal of movement disorders: official journal of Vol.3 No.2
<P>Huntington disease is a neurodegenerative disorder distinguished by the triad of dominant inheritance, choreoathetosis and dementia, usually with onset in the fourth and fifth decades. It is caused by an unstable cytosine-adenine-guanine (CAG) trinucleotide repeat expansion in the gene IT15 in locus 4p16.3. Juvenile HD that constitutes about 3% to 10% of all patients is clinically different from adult-onset form and characterized by a larger number of CAG repeats typically exceeding 60. We report a case of a 6-year-old boy with myoclonic seizure and 140 CAG repeats confirmed by molecular genetic analysis.</P>
( Sung-jin Yoon ),( Young-jun Park ),( Hyun Ju Kim ),( Jinwoo Jang ),( Sang Jun Lee ),( Sunwoo Koo ),( Moo-seung Lee ) 한국미생물생명공학회(구 한국산업미생물학회) 2018 Journal of microbiology and biotechnology Vol.28 No.10
Accurate and rapid diagnosis of influenza infection is essential to enable early antiviral treatment and reduce the mortality associated with seasonal and epidemic infections. Immunochromatography is one of the most common methods used for the diagnosis of seasonal human influenza; however, it is less effective in diagnosing pandemic influenza virus. Currently, rapid diagnostic kits for pandemic influenza virus rely on the detection of nucleoprotein (NP) or hemagglutinin (HA). NP detection shows higher specificity and is more sensitive than HA detection. In this study, we time-dependently screened expression conditions, and herein report optimal conditions for the expression of recombinant nucleoprotein (rNP), which was 48 h after infection. In addition, we report the use of the expressed rNP in a rapid influenza diagnostic test (SGT i-flex Influenza A&B Test). We constructed expression vectors that synthesized rNP (antigen) of influenza A and B in insect cells (Sf9 cells), employed the purified rNP to the immunoassay test kit, and clearly distinguished NPs of influenza A and influenza B using this rapid influenza diagnostic kit. This approach may improve the development of rapid test kits for influenza using NP.
Computational electroencephalography analysis for characterizing brain networks
Jun-Sang Sunwoo,Kwang Su Cha,Ki-Young Jung 대한임상신경생리학회 2020 Annals of Clinical Neurophysiology Vol.22 No.2
Electroencephalography (EEG) produces time-series data of neural oscillations in the brain, and is one of the most commonly used methods for investigating both normal brain functions and brain disorders. Quantitative EEG analysis enables identification of frequencies and brain activity that are activated or impaired. With studies on the structural and functional networks of the brain, the concept of the brain as a complex network has been fundamental to understand normal brain functions and the pathophysiology of various neurological disorders. Functional connectivity is a measure of neural synchrony in the brain network that refers to the statistical interdependency between neural oscillations over time. In this review, we first discuss the basic methods of EEG analysis, including preprocessing, spectral analysis, and functional-connectivity and graph-theory measures. We then review previous EEG studies of brain network characterization in several neurological disorders, including epilepsy, Alzheimer’s disease, dementia with Lewy bodies, and idiopathic rapid eye movement sleep behavior disorder. Identifying the EEG-based network characteristics might improve the understanding of disease processes and aid the development of novel therapeutic approaches for various neurological disorders.
Sleep characteristics associated with drowsy driving
Sunwoo, Jun-Sang,Hwangbo, Young,Kim, Won-Joo,Chu, Min Kyung,Yun, Chang-Ho,Yang, Kwang Ik ELSEVIER 2017 Sleep Medicine Vol.40 No.-
<P><B>Abstract</B></P> <P><B>Objective</B></P> <P>The aim of this study was to evaluate sleep characteristics associated with drowsy driving in an adult population.</P> <P><B>Methods</B></P> <P>The study subjects consisted of 1675 adults aged 19 years or older who completed a population-based questionnaire survey on sleep habits. Experiences of drowsy driving were obtained from self-reported data. We investigated sleep-related variables including sleep duration, sleep efficiency, chronotype, subjective sleep perception, daytime sleepiness, sleep quality, and snoring. We performed multivariate logistic regression analysis to determine sleep characteristics independently associated with drowsy driving.</P> <P><B>Results</B></P> <P>The mean age of the subjects was 43.2 years, and 66.3% were men. The prevalence of self-reported drowsy driving was 23.6% (396 of 1675), and 33.1% of subjects experienced dozing at the wheel at least once a month. Multivariate analysis demonstrated that men, office and manual workers, excessive daytime sleepiness, depression, habitual snoring, and perceived insufficient sleep were independently associated with drowsy driving. Subgroup analyses revealed that reduced weekday sleep duration was a risk factor of drowsy driving in adults with perceived sufficient sleep. On the other hand, frequent alcohol drinking significantly increased risk of drowsy driving in the subgroup with perceived sleep insufficiency. Furthermore, ordinal regression analyses confirmed the association between sleep characteristics and drowsy driving across different drowsy driving frequencies.</P> <P><B>Conclusion</B></P> <P>Excessive daytime sleepiness, depression, habitual snoring, and perceived insufficient sleep were sleep-related risk factors for drowsy driving. In addition to maintaining healthy sleep habits, individuals at high risk should be encouraged to evaluate underlying sleep disorders or psychiatric problems to prevent drowsy driving.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The prevalence of self-reported drowsy driving was 23.6% in this study. </LI> <LI> Excessive sleepiness, depression, snoring, and perceived insufficient sleep were risk factors for drowsy driving. </LI> <LI> Individuals at high risk should be evaluated for underlying sleep disorders or depression. </LI> </UL> </P>
Clinical Characteristics and Outcomes of Juvenile and Adult Dermatomyositis
Na, Sang-Jun,Kim, Seung Min,Sunwoo, Il Nam,Choi, Young-Chul The Korean Academy of Medical Sciences 2009 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.24 No.4
<P>Dermatomyositis (DM) is an idiopathic inflammatory myopathy with bimodal onset age distribution. The age of onset is between 5-18 yr in juvenile DM and 45-64 yr in adult DM. DM has a distinct clinical manifestation characterized by proximal muscle weakness, skin rash, extramuscular manifestations (joint contracture, dysphagia, cardiac disturbances, pulmonary symptoms, subcutaneous calcifications), and associated disorders (connective tissue disease, systemic autoimmune diseases, malignancy). The pathogenesis of juvenile and adult DM is presumably similar but there are important differences in some of the clinical manifestations, associated disorders, and outcomes. In this study, we investigated the clinical characteristics and outcomes of 16 patients with juvenile DM and 48 with adult DM. This study recognizes distinctive characteristics of juvenile DM such as higher frequency of neck muscle involvement, subcutaneous calcifications, and better outcomes.</P>
Advantages of a buried-gate structure for graphene field-effect transistor
Lee, Sang Kyung,Kim, Yun Ji,Heo, Sunwoo,Park, Woojin,Yoo, Tae Jin,Cho, Chunhum,Hwang, Hyeon Jun,Lee, Byoung Hun Institute of Physics 2019 Semiconductor science and technology Vol.34 No.5
<P>Graphene field effect transistors (GFETs) with top-gate and back-gate structures have been extensively used without much consideration for compatibility with graphene. A comparative study of the electrical characteristics of buried-gate GFETs and top-gate GFETs revealed that the performance of buried-gate GFETs is drastically enhanced by having a better gate controllability, achieving three times higher field effect mobility (∼3000 cm<SUP>2</SUP> V<SUP>−1</SUP> s<SUP>−1</SUP>) than top-gate GFETs with on/off ratio ∼10. Carrier scattering was also substantially improved by minimizing the fringing field effect, which is found to be the origin of high series resistance in top-gate GFETs. Moreover, we showed by electromagnetic (EM) simulation that the electric field distribution inside the transistors is more uniform at the buried-gate GFETs than the top-gate GFETs.</P>