• 제목/요약/키워드: Hypothesis A and B

검색결과 294건 처리시간 0.023초

Single Cell Transcriptomic Re-analysis of Immune Cells in Bronchoalveolar Lavage Fluids Reveals the Correlation of B Cell Characteristics and Disease Severity of Patients with SARS-CoV-2 Infection

  • Chae Won Kim;Ji Eun Oh;Heung Kyu Lee
    • IMMUNE NETWORK
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    • 제21권1호
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    • pp.10.1-10.13
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    • 2021
  • The coronavirus disease 2019 (COVID-19) pandemic (severe acute respiratory syndrome coronavirus 2) is a global infectious disease with rapid spread. Some patients have severe symptoms and clinical signs caused by an excessive inflammatory response, which increases the risk of mortality. In this study, we reanalyzed scRNA-seq data of cells from bronchoalveolar lavage fluids of patients with COVID-19 with mild and severe symptoms, focusing on Ab-producing cells. In patients with severe disease, B cells seemed to be more activated and expressed more immunoglobulin genes compared with cells from patients with mild disease, and macrophages expressed higher levels of the TNF superfamily member B-cell activating factor but not of APRIL (a proliferation-inducing ligand). In addition, macrophages from patients with severe disease had increased pro-inflammatory features and pathways associated with Fc receptor-mediated signaling, compared with patients with mild disease. CCR2-positive plasma cells accumulated in patients with severe disease, probably because of increased CCL2 expression on macrophages from patients with severe disease. Together, these results support the hypothesis that different characteristics of B cells might be associated with the severity of COVID-19 infection.

Efficiency and Minimaxity of Bayes Sequential Procedures in Simple versus Simple Hypothesis Testing for General Nonregular Models

  • Hyun Sook Oh;Anirban DasGupta
    • Journal of the Korean Statistical Society
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    • 제25권1호
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    • pp.95-110
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    • 1996
  • We consider the question of efficiency of the Bayes sequential procedure with respect to the optimal fixed sample size Bayes procedure in a simple vs. simple testing problem for data coming from a general nonregular density b(.theta.)h(x)l(x < .theta.). Efficiency is defined in two different ways in these caiculations. Also, the minimax sequential risk (and minimax sequential stratage) is studied as a function of the cost of sampling.

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코스닥시장 M&A기업의 성과에 관한 연구 (A Study on the Performance of the M&A Firm in KOSDAQ)

  • 김경식
    • 한국컴퓨터정보학회논문지
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    • 제12권1호
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    • pp.219-229
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    • 2007
  • 본 연구는 코스닥시장에서 합병기업을 대상으로 연구의 결과 첫째, 합병공시효과검증에서는 공시시점에서 정(+)의 누적초과수익률로서 기업가치증가로 해석할 수 있으나, 장기간에서는 상반된 결과가 도출되었다. 둘째, 합병으로 인해 일반기업의 가치증가가 벤처기업보다 높다고 볼 수 있다. 셋째, 과거성과가 높은 glamour 기업보다 과거 성과가 좋지 않은 value기업이 합병 후 성과가 높아진다는 성과추정가설이 성립한다. 넷째, 소규모기업의 누적초과수익률이 대규모기업의 누적초과수익률을 초과함으로서 합병으로 인한 규모효과(size effect)가 존재하는 것으로 해석할 수 있다. 다섯째, 운영성과 검증에서는 합병시점에서는 대부분의 변수가 정(+)의 값이나 합병 후 음(-)의 값을 보였다. 이런 결과는 코스닥 시장에서의 합병이 경제적 논리보다는 재무적 논리에 바탕을 두고 있다고 평가함으로서 기업가치가 하락하는 것으로 추정된다.

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Drug Target Identification and Elucidation of Natural Inhibitors for Bordetella petrii: An In Silico Study

  • Rath, Surya Narayan;Ray, Manisha;Pattnaik, Animesh;Pradhan, Sukanta Kumar
    • Genomics & Informatics
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    • 제14권4호
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    • pp.241-254
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    • 2016
  • Environmental microbes like Bordetella petrii has been established as a causative agent for various infectious diseases in human. Again, development of drug resistance in B. petrii challenged to combat against the infection. Identification of potential drug target and proposing a novel lead compound against the pathogen has a great aid and value. In this study, bioinformatics tools and technology have been applied to suggest a potential drug target by screening the proteome information of B. petrii DSM 12804 (accession No. PRJNA28135) from genome database of National Centre for Biotechnology information. In this regards, the inhibitory effect of nine natural compounds like ajoene (Allium sativum), allicin (A. sativum), cinnamaldehyde (Cinnamomum cassia), curcumin (Curcuma longa), gallotannin (active component of green tea and red wine), isoorientin (Anthopterus wardii), isovitexin (A. wardii), neral (Melissa officinalis), and vitexin (A. wardii) have been acknowledged with anti-bacterial properties and hence tested against identified drug target of B. petrii by implicating computational approach. The in silico studies revealed the hypothesis that lpxD could be a potential drug target and with recommendation of a strong inhibitory effect of selected natural compounds against infection caused due to B. petrii, would be further validated through in vitro experiments.

A STUDY OF SOME TESTS OF TREND IN CONTINGENCY TABLES

  • Jee, Eun-Sook
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제4권1호
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    • pp.7-18
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    • 1997
  • Consider an $r\;\times\;c$ contingency table under the full multinomial model in which each classification is ordered. The problem is to test the null hypothesis of independence. A number of tests have been proposed for this problem. In this article we show that all of these tests can be improved on in some sense for most cases. In fact the preceding tests sometimes are inadmissible in a strict sense. Furthermore, we show by example that in some cases improved tests can yield substantially improved power functions.

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자율이동로봇군의 협조전략과 군행동의 실현을 위한 면역시스템의 모델링 (An Immune System Modeling for Realization of Cooperative Strategies and Group Behavior in Collective Autonomous Mobile Robots)

  • 이동욱;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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    • pp.127-130
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    • 1998
  • In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

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인공면역계 기반의 자율이동로봇군의 협조행동전략 결정 (Artificial immune network-based cooperative beharior strategies in collective autonomous mobile rotos)

  • 이동욱;심귀보
    • 전자공학회논문지S
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    • 제35S권3호
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    • pp.102-109
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    • 1998
  • In this paper, we propose a method of cooperative control based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment.For the purpose of applying immune system to DARS, a robot is regarded as a B lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental codintion changes, a robot select an appropriate beharior stategy. And its behavior stategy is stimulated and suppressed by other robot using communiation. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idotopic network hypothesis. And it is used for decision making of optimal swarm stragegy.

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From Corridors to Intercity Networks : The Role of the Emerging Urban System in Building Regional Networks in Northeast Asia

  • Terry G. McGee;Xiaomin Pang;Shin, Dong-Ho
    • 지역연구
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    • 제15권2호
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    • pp.21-38
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    • 1999
  • This paper is concerned with analyzing the role of Northeast Asia intercity networks in Northeast Asia in creating regional networks. For the purpose of this paper, we have followed Choe's (1996) definition of Northeast Asia which includes the Russian Fat East, the Northeast region of China, South Korea, North Korea and Japan. The central hypothesis of the paper is that the geopolitical conditions of Northeast Asia compared for example with Southeast Asia, favor bilateral rather than multilateral linkages between nation states. In these circumstances, it is our hypothesis that cities will play an important role in developing a "local image" of regio-nalism and intercity networks. In order to analyze this hypothesis, the paper is divided into three parts. Part A analyzes the emerging urban system of the Northeast Asia region using Choe's concept of the BESETO corridor and updating his data from the late 1980s to the mid 1990s just prior to the financial crisis. This analysis is further supported by the analysis of economic and transportation linkages within the urban system of the region with some discussion of emerging urban nodes. Part B looks at the specific case studies of the region including the Bohai Sea region, the Japan Sea and case studies of Sapporo, the Japan Sea and case studies of Sapporo, Pusan and Shandong province cities. Part C summarizes this preceding analysis and that the development of regionalism and servicing urban nodes is move likely to emerge from a myriad of linkages developed between the region's cities than from a supra-regional role of nation states. This finding has important implications for regional policy formation suggesting that there should be considerate national support for international linkages between cities.en cities.

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백색광 간섭기에서 간섭 무늬의 상호 상관관계 함수를 이용한 절대 위상 측정 알고리즘 (Absolute phase identification algorithm in a white light interferometer using a cross-correlation of fringe scans)

  • 김정곤
    • 센서학회지
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    • 제9권4호
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    • pp.316-326
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    • 2000
  • 본 논문에서는 백색광 간섭현상 (white light interferometry)을 위한 신호처리 알고리즘을 제안한다. 제안하는 알고리즘으로 간섭기의 광경로 절대길이 (absolute optical path length)를 정확하게 측정할 수 있다. 그리고 제안하는 알고리즘은 간섭 무늬 (fringe scan)의 상호 상관관계 함수 (cross-correlation function)와 가설 검증을 사용한다. 가설 검증은 간섭 무늬의 상호 상관관계 함수가 대칭이 되는 봉우리를 영차 간섭 봉우리 (zero order fringe peak) 후보자로 선정함으로써 영차 간섭 봉우리를 오판할 확률을 줄인다. 산탄잡음(shot noise)이 제안된 알고리즘의 성능에 미치는 영향을 컴퓨터 모의 실험을 통하여 조사하였다. 모의 실험결과와 보외법 (extrapolation)을 사용하여 신호대산탄잡음비 (signal-to-shot noise ratio)가 31 dB 보다 클 때의 알고리즘의 성능을 예측하였다. 간섭 봉우리의 세 가지 매개변수 변화 (신호대산탄잡음비, 간섭 스캔 샘플링율 광원의 가간섭성 길이)에 따른 영차 간섭 봉우리 추정 오차를 계산하였다. 모의 실험 결과를 통하여 제안한 알고리즘이 영차 간섭 무늬 봉우리를 정확하게 판별할 수 있음을 보여주었다. 제안하는 신호처리 알고리즘은 소프트웨어적인 기법으로서 경제적이고 속도가 빠르며 간단한 알고리즘이다.

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