http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
System Identification of the Arabidopsis Plant Circadian System
Mathias Foo,David E. Somers,김판준 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.66 No.4
The circadian system generates an endogenous oscillatory rhythm that governs the daily activitiesof organisms in nature. It offers adaptive advantages to organisms through a coordination of theirbiological functions with the optimal time of day. In this paper, a model of the circadian systemin the plant Arabidopsis (species thaliana) is built by using system identification techniques. Priorknowledge about the physical interactions of the genes and the proteins in the plant circadian systemis incorporated in the model building exercise. The model is built by using primarily experimentallyverifieddirect interactions between the genes and the proteins with the available data on mRNAand protein abundances from the circadian system. Our analysis reveals a great performance of themodel in predicting the dynamics of the plant circadian system through the effect of diverse internaland external perturbations (gene knockouts and day-length changes). Furthermore, we found thatthe circadian oscillatory rhythm is robust and does not vary much with the biochemical parametersexcept those of a light-sensitive protein P and a transcription factor TOC1. In other words, thecircadian rhythmic profile is largely a consequence of the network’s architecture rather than itsparticular parameters. Our work suggests that the current experimental knowledge of the geneto-protein interactions in the plant Arabidopsis, without considering any additional hypotheticalinteractions, seems to suffice for system-level modeling of the circadian system of this plant and topresent an exemplary platform for the control of network dynamics in complex living organisms.
System identification of circadian clock in plant Arabidopsis thaliana
Mathias Foo,Hee Young Yoo,Pan-Jun Kim 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
The use of mathematical models in describing the dynamics of circadian clock in the plant Arabidopsis thaliana is gaining popularity. Models used to describe the plant circadian clock are usually derived from laws of physics and they comprise complex nonlinear ordinary differential equations. In this paper, we build mathematical models of the core loop of plant circadian clock using system identification techniques. This core loop involves two main genes (proteins), i.e. LHY/CCA1 and TOC1. Models obtained using system identification techniques are usually simple, sufficient to describe the relevant dynamics of the system and often are able to provide physical interpretation about the system. The obtained models through system identification can be useful for control design and prediction in the event for which we want to do phenotype manipulation and for understanding the behaviour of the system respectively.
System Identification and Control of the Broken River
Foo, Mathias,Su Ki Ooi,Weyer, Erik Institute of Electrical and Electronics Engineers 2014 IEEE transactions on control systems technology Vol. No.
<P>In this paper, control system designs are proposed for the Broken River in Victoria, Australia. The aim of the control system is to improve water resource management and operation for the benefit of irrigators and the environment. Both centralized and decentralized control schemes are considered. The decentralized scheme consists of a number of PI and I controllers, while the centralized scheme is a model predictive controller. The controllers are designed based on simple models obtained using system identification methods. In a realistic simulation scenario, the control systems compared very favorably with current manual operation offering increased operational flexibility with a significant potential for substantial water savings, improved level of service to irrigators, and improved environmental benefits.</P>
Yoo, Hee Young,Huang, Jun,Li, Lin,Foo, Mathias,Zeng, Hongbo,Hwang, Dong Soo American Chemical Society 2016 Biomacromolecules Vol.17 No.3
<P>Recent works on mussel adhesion have identified a load bearing matrix protein (PTMP1) containing von Willebrand factor (vWF) with collagen binding capability that contributes to the mussel holdfast by manipulating mussel collagens. Using a surface forces apparatus, we investigate for the first time, the nanomechanical properties of vWF-collagen interaction using homologous proteins of mussel byssus, PTMP1 and preCollagens (preCols), as collagen. Mimicking conditions similar to mussel byssus secretion (pH < 5.0) and seawater condition (pH 8.0), PTMP1 and preCol interact weakly in the 'positioning' phase based on vWF-collagen binding and strengthen in 'locked' phase due to the combined effects of electrostatic attraction, metal binding, and mechanical shearing. The progressive enhancement of binding between PTMP1 with porcine collagen under the aforementioned conditions is also observed. The binding mechanisms of PTMP1-preCols provide insights into the molecular interaction of the mammalian collagen system and the development of an artificial extracellular matrix based on collagens.</P>
Miao Lin Pay,Jesper Christensen,Fei He,Laura Roden,Hafiz Ahmed,Mathias Foo 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
Speed breeding has recently emerged as an innovative agricultural technology solution to meet the ever-increasing global food demand. In speed breeding, typically various light qualities (e.g., colour, duration, intensity) are modified to manipulate the circadian clock of the plants, which in turn alter the plant growth and enhance the productivity such as by reducing the flowering time. In order to develop a comprehensive framework describing plant growth, a model incorporating the effect of various light qualities on plant growth needs to be established. Recently a mathematical model of the plant circadian clock for Arabidopsis thaliana has been developed to characterise the hypocotyl growth subject to multiple light quality properties. This is a first step towards developing a more comprehensive model that links light quality, plant circadian clock and plant growth. In this work, we extend the model by adding the effect of various light qualities on the flowering time. The proposed model can capture the flowering time behaviours of plant when subject to red, blue, and mixed lights and can be used to guide experiment of light properties manipulation for optimised plant growth via hypocotyl growth and flowering time.