Son eun seo biography of albert einstein
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Wisdom of Korea (1996, January -- June)
SEOUL'S OLD RHYTHM
Y.S.Kim (1996.1.8)Last month, I spent four vacation days in New Orleans (Louisiana). As you know, New Orleans is the origin of American music or American rhythm. When I was there, there were more than 5,000 country boys and girls who came all the way from Green Bay (Wisconsin) to cheer their football team named "Green Bay Packers" (you should know this name if you lived in the U.S. for two years or longer). You could imagine how noisy or rhythmic the city was.
However, the rhythm most familiar to me was from the bottom of the New Orleans trolley car. It was coming from the air compressor for the brake system. As soon as I heard the rhythm, I looked at the driver's stand. Alas, the stand consists of the speed controller contained in an elliptic cylindrical box on the left-hand side, the air-brake valve supported by three pipes on the right hand-side, and the circuit breaker hanging between the ceiling and the fro
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Figure 1. Structure of the rapid response system. RRT: rapid response team; MET: medical emergency team; CCO: critical care outreach; EMR: electronic medical recording.
Figure 2. Data from Royal College of Physicians [22]. The National Early Warning Score (NEWS) scoring system. CVPU: C, new confusion; V, responds to voice; P, responds to pain; U, unresponsive.
Figure 3. Relationship of rapid response system team activity and cardiac arrest rates in general ward. MET dose: number of rapid response team activation except CPR per 1,000 admissions; MET: medical emergency team; CPR: cardiopulmonary resuscitation. Unpublished data from Asan Medical Center.
Figure 4. Types of activation of rapid response system from Korean multicenter data (n=11,646). CPCR: cardiopulmonary cerebral resuscitation; RRT: rapid response team.
Figure 5. Outcomes of rapid response system activation in sepsis (n=2,361). ICU: intensive care unit. Unpublished data from Asan Medical Cen
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Abstract
This study investigated the diagnostic potential of serum small extracellular vesicle‐derived long noncoding RNAs (EV‐lncRNAs) for hepatocellular carcinoma (HCC). Driver oncogenic lncRNA candidates were selected by a comparative analysis of lncRNA expression profiles from two whole transcriptome human HCC datasets (Catholic_LIHC and TCGA_LIHC). Expression of selected lncRNAs in serum and small EVs was evaluated using quantitative reverse transcription PCR. Diagnostic power of serum EV‐lncRNAs for HCC was determined in the test (n = 44) and validation (n = 139) cohorts. Of the six promising driver onco‐lncRNAs, DLEU2, HOTTIP, MALAT1, and SNHG1 exhibited favorable performance in the test cohort. In the validation cohort, serum EV‐MALAT1 displayed excellent discriminant ability, while EV‐DLEU2, EV‐HOTTIP, and EV‐SNHG1 showed good discriminant ability between HCC and non‐HCC. Furthermore, a panel combining EV‐MALAT1 and EV‐SNHG1 achieved the best area u