Difference between revisions of "Team:SZU-China/Model"

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<h3>★  ALERT! </h3>
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<p>This page is used by the judges to evaluate your team for the <a href="https://2018.igem.org/Judging/Medals">medal criterion</a> or <a href="https://2018.igem.org/Judging/Awards"> award listed below</a>. </p>
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<p> Delete this box in order to be evaluated for this medal criterion and/or award. See more information at <a href="https://2018.igem.org/Judging/Pages_for_Awards"> Instructions for Pages for awards</a>.</p>
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<h1 class="h1" style="color: #469789; text-align: center;">Model</h1>
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On this page, two mathematical models were constructed to analysis the efficiency of our producet based on simulation and experiment. <br />Click the frame  to see the details.
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<a style="color: #469789;" href="https://2018.igem.org/Team:SZU-China/Epidemic_Model"><h3 >Epidemic Model </h3></a>
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<p class="card-text" >We developed a epidemic model with ordinary differential equation to predict the population dynamics of cockroaches infected by Metarhizium anisopliae. We then performed numerical simulations on the model and sensitivity analysis on some key parameters to find they impacts.
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<a style="color: #469789;" href="https://2018.igem.org/Team:SZU-China/Statistic_Model"><h3  >Statistic Model</h3></a>
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<p class="card-text">We constructed a statistical model for our experimental data from simulating room. It can give us a clear and scientific understanding that whether there had significant difference in migration rate, mortality and gnawing rate between each products.</p>
  
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<h1> Modeling</h1>
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<p>Mathematical models and computer simulations provide a great way to describe the function and operation of BioBrick Parts and Devices. Synthetic Biology is an engineering discipline, and part of engineering is simulation and modeling to determine the behavior of your design before you build it. Designing and simulating can be iterated many times in a computer before moving to the lab. This award is for teams who build a model of their system and use it to inform system design or simulate expected behavior in conjunction with experiments in the wetlab.</p>
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<h3> Gold Medal Criterion #3</h3>
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Convince the judges that your project's design and/or implementation is based on insight you have gained from modeling. This could be either a new model you develop or the implementation of a model from a previous team. You must thoroughly document your model's contribution to your project on your team's wiki, including assumptions, relevant data, model results, and a clear explanation of your model that anyone can understand.
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The model should impact your project design in a meaningful way. Modeling may include, but is not limited to, deterministic, exploratory, molecular dynamic, and stochastic models. Teams may also explore the physical modeling of a single component within a system or utilize mathematical modeling for predicting function of a more complex device.
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Please see the <a href="https://2018.igem.org/Judging/Medals"> 2018
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Medals Page</a> for more information.
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<h3>Best Model Special Prize</h3>
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To compete for the <a href="https://2018.igem.org/Judging/Awards">Best Model prize</a>, please describe your work on this page  and also fill out the description on the <a href="https://2018.igem.org/Judging/Judging_Form">judging form</a>. Please note you can compete for both the gold medal criterion #3 and the best model prize with this page.  
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You must also delete the message box on the top of this page to be eligible for the Best Model Prize.
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<h3> Inspiration </h3>
 
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Here are a few examples from previous teams:
 
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<li><a href="https://2016.igem.org/Team:Manchester/Model">2016 Manchester</a></li>
 
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<li><a href="https://2016.igem.org/Team:TU_Delft/Model">2016 TU Delft</li>
 
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<li><a href="https://2014.igem.org/Team:ETH_Zurich/modeling/overview">2014 ETH Zurich</a></li>
 
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<li><a href="https://2014.igem.org/Team:Waterloo/Math_Book">2014 Waterloo</a></li>
 
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Latest revision as of 18:33, 17 October 2018

Model

On this page, two mathematical models were constructed to analysis the efficiency of our producet based on simulation and experiment.
Click the frame to see the details.

Epidemic Model

We developed a epidemic model with ordinary differential equation to predict the population dynamics of cockroaches infected by Metarhizium anisopliae. We then performed numerical simulations on the model and sensitivity analysis on some key parameters to find they impacts.

Statistic Model

We constructed a statistical model for our experimental data from simulating room. It can give us a clear and scientific understanding that whether there had significant difference in migration rate, mortality and gnawing rate between each products.