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A D-Band Integrated Signal Source Based on SiGe 0.18 μm BiCMOS Technology
Seungyoon Jung,Jongwon Yun,Jae-Sung Rieh 한국전자파학회JEES 2015 Journal of Electromagnetic Engineering and Science Vol.15 No.4
This work describes the development of a D-band (110?170 GHz) signal source based on a SiGe BiCMOS technology. This D-band signal source consists of a V-band (50?75 GHz) oscillator, a V-band amplifier, and a D-band frequency doubler. The V-band signal from the oscillator is amplified for power boost, and then the frequency is doubled for D-band signal generation. The V-band oscillator showed an output power of 2.7 dBm at 67.3 GHz. Including a buffer stage, it had a DC power consumption of 145 mW. The peak gain of the V-band amplifier was 10.9 dB, which was achieved at 64.0 GHz and consumed 110 mW of DC power. The active frequency doubler consumed 60 mW for D-band signal generation. The integrated D-band source exhibited a measured output oscillation frequency of 133.2 GHz with an output power of 3.1 dBm and a phase noise of -107.2 dBc/Hz at 10 MHz offset. The chip size is 900 × 1,890 μm², including RF and DC pads.
BACKGROUND OF ENTHUSIASM FOR EDUCATION IN TANZANIA
Seungyoon Choi,Dong Ju Choi 한국외국어대학교 아프리카연구소 2019 Asian Journal of African Studies Vol.- No.45
This research aims to analyze the motivating factors on high levels of enthusiasm for education in Tanzania. Specifically, the study categorized motivating factors by social, economic, and cultural & historical contexts. For social factors, international influence and domestic atmosphere such as media and parent’s education level can be motivating factors for educational enthusiasm in Tanzania. In economic factors, economic benefits and parent’s income level were selected. Lastly, for cultural & historical factors, the nature of ethnic groups and the influence of colonization were chosen as motivating factors for people in Tanzania to have high educational enthusiasm. The study findings from the quantitative analysis indicate that three motivating factors have significant correlations with educational enthusiasm in Tanzania. At the same time, through regression analysis, all motivating factors have positive impact on the enthusiasm for education in Tanzania by representing the highest impact on social factors followed by economic, cultural and historical factors. From the in-depth interview, the research finds out that people in Tanzania have very high level of educational enthusiasm. Specifically, interviewees emphasized economic factors as a leading motivating factor for educational enthusiasm in Tanzania. Moreover, education specialists emphasized the importance of cultural & historical factors as a motivating factors for educational enthusiasm in Tanzania.
Databases and tools for constructing signal transduction networks in cancer
( Seungyoon Nam ) 생화학분자생물학회(구 한국생화학분자생물학회) 2017 BMB Reports Vol.50 No.1
Traditionally, biologists have devoted their careers to studying individual biological entities of their own interest, partly due to lack of available data regarding that entity. Large, high-throughput data, too complex for conventional processing methods (i.e., “big data”), has accumulated in cancer biology, which is freely available in public data repositories. Such challenges urge biologists to inspect their biological entities of interest using novel approaches, firstly including repository data retrieval. Essentially, these revolutionary changes demand new interpretations of huge datasets at a systems-level, by so called “systems biology”. One of the representative applications of systems biology is to generate a biological network from high-throughput big data, providing a global map of molecular events associated with specific phenotype changes. In this review, we introduce the repositories of cancer big data and cutting-edge systems biology tools for network generation, and improved identification of therapeutic targets. [BMB Reports 2017; 50(1): 12-19]
Seungyoon Nam,John Lorenzo Bautista,Chanyoung Hahm,Hyunsoon Shin 대한전자공학회 2022 IEIE Transactions on Smart Processing & Computing Vol.11 No.2
The photoplethysmography signal is composed of a cardiac-synchronous pulsatile waveform and different parts, which is modulated in amplitude by respiration. This paper presents a new indexing method similar to the apnea-hypopnea index and respiratory disturbance index for the self-diagnosis of sleep apnea symptoms (central and obstructed apnea) by using only a photoplethysmogram (PPG) signal. Sleep apnea is a sleeping disorder from several chronic conditions in which partial or complete cessation of breathing occurs many times throughout sleep at night. A respiratory rate signal (respiration-induced intensity variation) is modulated by synchronizing with the breathing rhythm extracted from PPG using a reflected light on the top of the wrist. This paper presents a new automated recognition and estimation method for daytime apnea and sleep-induced apnea using a wristwatch-type wearable device that can recognize irregular breathing using respiratory rate frequency-based features. The new respiratory effort strength index is proposed to quantify sleep apnea by determining how much a patient is suffering.
miRGator: an integrated system for functional annotation of microRNAs
Nam, Seungyoon,Kim, Bumjin,Shin, Seokmin,Lee, Sanghyuk Oxford University Press 2008 Nucleic acids research Vol.36 No.suppl1
<P>MicroRNAs (miRNAs) constitute an important class of regulators that are involved in various cellular and disease processes. However, the functional significance of each miRNA is mostly unknown due to the difficulty in identifying target genes and the lack of genome-wide expression data combining miRNAs, mRNAs and proteins. We introduce a novel database, <I>miRGator</I>, that integrates the target prediction, functional analysis, gene expression data and genome annotation. MiRNA function is inferred from the list of target genes predicted by <I>miRanda</I>, <I>PicTar</I> and <I>TargetScanS</I> programs. Statistical enrichment test of target genes in each term is performed for gene ontology, pathway and disease annotations. Associated terms may provide valuable insights for the function of each miRNA. For the expression analysis, <I>miRGator</I> integrates public expression data of miRNA with those of mRNA and protein. Expression correlation between miRNA and target mRNA/proteins is evaluated and their expression patterns can be readily compared. Our web implementation supports diverse query types including miRNA name, gene symbol, gene ontology, pathway and disease terms. Interfaces for exploring common targets or regulatory miRNAs and for profiling compendium expression data have been developed as well. Currently, <I>miRGator</I>, available at: http://genome.ewha.ac.kr/miRGator/, supports the human and mouse genomes.</P>
Nam, Seungyoon,Kim, Young-Kook,Kim, Pora,Kim, V. Narry,Shin, Seokmin,Lee, Sanghyuk Korea Genome Organization 2005 Genomics & informatics Vol.3 No.3
MicroRNAs play an important role in regulating gene expression, but their target identification is a difficult task due to their short length and imperfect complementarity. Burge and coworkers developed a program called TargetScan that allowed imperfect complementarity and established a procedure favoring targets with multiple binding sites conserved in multiple organisms. We improved their algorithm in two major aspects - (i) using well-defined UTR (untranslated region) database, (ii) examining the extent of conservation inside the 3' UTR specifically. Average length in our UTR database, based on the ECgene annotation, is more than twice longer than the Ensembl. Then, TargetScan was used to identify putative binding sites. The extent of conservation varies significantly inside the 3' UTR. We used the 'tight' tracks in the UCSC genome browser to select the conserved binding sites in multiple species. By combining the longer 3' UTR data, TargetScan, and tightly conserved blocks of genomic DNA, we identified 107 putative target genes with multiple binding sites conserved in multiple species, of which 85 putative targets are novel.