BEGIN:VCALENDAR
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PRODID:-//Biomedical Mathematics Group - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20220101T000000
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END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230804T140000
DTEND;TZID=Asia/Seoul:20230804T160000
DTSTAMP:20260524T061351
CREATED:20230729T064450Z
LAST-MODIFIED:20230730T231258Z
UID:8131-1691157600-1691164800@www.ibs.re.kr
SUMMARY:Seokhwan Moon\, The Internal Model Principle for Biomolecular Control Theory
DESCRIPTION:We will discuss about “ The Internal Model Principle for Biomolecular Control Theory ”\, Gupta\, Ankit\, and Mustafa Khammash.\, IEEE Open Journal of Control Systems 2 (2023): 63-69. \n  \nAbstract \nThe well-known Internal Model Principle (IMP) is a cornerstone of modern control theory. It stipulates the necessary conditions for asymptotic robustness of disturbance-prone dynamical systems by asserting that such a system must embed a subsystem in a feedback loop\, and this subsystem must be able to reduplicate the dynamic disturbance using only the regulated variable as the input. The insights provided by IMP can help in both designing suitable controllers and also in analysing the regulatory mechanisms in complex systems. So far the application of IMP in biology has been case-specific and ad hoc\, primarily due to the lack of generic versions of the IMP for biomolecular reaction networks that model biological processes. In this short article we highlight the need for an IMP in biology and discuss a recently developed version of it for biomolecular networks that exhibit maximal Robust Perfect Adaptation (maxRPA) by being robust to the maximum number of disturbance sources.
URL:https://www.ibs.re.kr/bimag/event/2023-08-04-jc/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230810T130000
DTEND;TZID=Asia/Seoul:20230811T120000
DTSTAMP:20260524T061351
CREATED:20230809T053216Z
LAST-MODIFIED:20230809T053949Z
UID:8217-1691672400-1691755200@www.ibs.re.kr
SUMMARY:2023 - The 4th Korean Biological Rhythm Society Symposium
DESCRIPTION:2023 제4회 한국분자세포생물학회 생체리듬준분과 심포지엄을 아래와 같이 진행합니다. \n일시: 2023년 8월 10일(목) – 8월 11일(금)\n장소: 대전 IBS 과학문화센터 \n학회 홈페이지 링크는 하단에 있습니다. \nWe are pleased to announce the 4th Korean Biological Rhythm Society Symposium. \nDate: August 10th (Thursday) – August 11th (Friday)\, 2023\nLocation: Daejeon IBS Science Culture Center \nConference Website Link (below) \nhttps://www.ksmcb.or.kr/board/list.html?num=7585&start=0&sort=top%20desc\,thread%20desc\,pos&code=sub_comm_bbs2&period=&&title=07&key=&keyword=&comm=%BB%FD%C3%BC%B8%AE%B5%EB%C1%D8%BA%D0%B0%FA \n 
URL:https://www.ibs.re.kr/bimag/event/2023kbrss/
LOCATION:IBS Science Culture Center\, Expo-ro 55\, Daejeon\, Korea\, Republic of
CATEGORIES:Workshops and Conferences
ATTACH;FMTTYPE=image/png:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2023/08/2023krbss-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230811T150000
DTEND;TZID=Asia/Seoul:20230811T170000
DTSTAMP:20260524T061351
CREATED:20230730T230909Z
LAST-MODIFIED:20230809T124859Z
UID:8141-1691766000-1691773200@www.ibs.re.kr
SUMMARY:Olive Cawiding\, Decomposing predictability to identify dominant causal drivers in complex ecosystems
DESCRIPTION:We will discuss about “ Decomposing predictability to identify dominant causal drivers in complex ecosystems ”\,Suzuki\, Kenta\, Shin-ichiro S. Matsuzaki\, and Hiroshi Masuya.\, Proceedings of the National Academy of Sciences 119.42 (2022): e2204405119. \n  \nAbstract \n\nEcosystems are complex systems of various physical\, biological\, and chemical processes. Since ecosystem dynamics are composed of a mixture of different levels of stochasticity and nonlinearity\, handling these data is a challenge for existing methods of time series–based causal inferences. Here\, we show that\, by harnessing contemporary machine learning approaches\, the concept of Granger causality can be effectively extended to the analysis of complex ecosystem time series and bridge the gap between dynamical and statistical approaches. The central idea is to use an ensemble of fast and highly predictive artificial neural networks to select a minimal set of variables that maximizes the prediction of a given variable. It enables decomposition of the relationship among variables through quantifying the contribution of an individual variable to the overall predictive performance. We show how our approach\, EcohNet\, can improve interaction network inference for a mesocosm experiment and simulated ecosystems. The application of the method to a long-term lake monitoring dataset yielded interpretable results on the drivers causing cyanobacteria blooms\, which is a serious threat to ecological integrity and ecosystem services. Since performance of EcohNet is enhanced by its predictive capabilities\, it also provides an optimized forecasting of overall components in ecosystems. EcohNet could be used to analyze complex and hybrid multivariate time series in many scientific areas not limited to ecosystems.
URL:https://www.ibs.re.kr/bimag/event/2023-08-11-jc/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230814T120000
DTEND;TZID=Asia/Seoul:20230814T130000
DTSTAMP:20260524T061351
CREATED:20230730T231426Z
LAST-MODIFIED:20230814T093131Z
UID:8144-1692014400-1692018000@www.ibs.re.kr
SUMMARY:Dongju Lim and Olive Cawiding
DESCRIPTION:Dongju Lim: Mood Prediction for Bipolar Disorder Patient with Sleep Pattern Information \nOlive Cawiding: Detecting causality between weather variables and dengue cases in the Philippines \n  \n 
URL:https://www.ibs.re.kr/bimag/event/2023-08-14-lls/
LOCATION:Tea Room\, IBS\, Daejeon\, Daejeon\, 34141\, Korea\, Republic of
CATEGORIES:Lunch Lab Meeting Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230816T083000
DTEND;TZID=Asia/Seoul:20230818T130000
DTSTAMP:20260524T061351
CREATED:20230815T110711Z
LAST-MODIFIED:20230815T110711Z
UID:8269-1692174600-1692363600@www.ibs.re.kr
SUMMARY:ICIAM 2023 Satellite Workshop: Stochastic Modeling and Data Analysis for Biological Systems
DESCRIPTION:ICIAM 2023 Satellite Workshop: Stochastic Modeling and Data Analysis for Biological Systems \nWe are excited to announce the upcoming ICIAM 2023 Satellite Workshop on Stochastic Modeling and Data Analysis for Biological Systems. This three-day workshop will take place from August 16th to 18th\, 2023\, at the Institute for Basic Science Headquarters in Daejeon\, Korea. \nThe workshop will feature invited talks from outstanding speakers\, as well as poster presentations. Attendees will have the opportunity to learn about the latest advances in stochastic modeling and data analysis for biological systems\, and to engage with researchers and practitioners in the field. \nWe hope you’ll join us for this exciting workshop and look forward to seeing you in Daejeon in August 2023! \nThe workshop website: https://sites.google.com/view/iciam-2023-stocmodelbio/home \n 
URL:https://www.ibs.re.kr/bimag/event/iciam-2023-satellite-workshop-stochastic-modeling-and-data-analysis-for-biological-systems-2/
LOCATION:IBS Science Culture Center\, Expo-ro 55\, Daejeon\, Korea\, Republic of
CATEGORIES:Workshops and Conferences
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2023/08/ICIAM_2023_rv_0812_flat-min-scaled.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR