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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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      <image:title>All Projects - Gemstone Faceting Gallery</image:title>
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  <url>
    <loc>https://www.mikechatzidakis.com/posts/2020/10/6/painting-with-dendritic-branching</loc>
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    <priority>0.5</priority>
    <lastmod>2022-11-30</lastmod>
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      <image:title>All Projects - Painting with dendritic branching - Setting up the paint layers</image:title>
      <image:caption>5 layers going from thinner paint to thicker paint</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - Painting with dendritic branching - First droplet of solute</image:title>
      <image:caption>Ink mixed with high concentrations of isopropanol is pipetted into the thinnest layer and it will diffuse radially from the source</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - Painting with dendritic branching - Adding more ink pushes the paint away</image:title>
      <image:caption>The ink would prefer not to diffuse into the thicker paint and subsequent additions of the ink pushes away the paint as it radially travels.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1602026231121-WGJT41GJ3BU2FN0FBZA4/annotated+stills.004.jpeg</image:loc>
      <image:title>All Projects - Painting with dendritic branching - The ink enters the next medium and is able to travel on top of it</image:title>
      <image:caption>The ink passed the interface and is able to form stable dendritic branches. They diffuse radially from the point that they enter the new phase</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1602026237524-OJFH8F7XW904X2Z96FVS/annotated+stills.005.jpeg</image:loc>
      <image:title>All Projects - Painting with dendritic branching - Addition of more solute shows that the new medium is thick enough for stable branching</image:title>
      <image:caption>Switching to red ink, the solute is able to continue to diffuse into the new phase and the degree of branching is totally different from the previous medium.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1602026237552-CMWZKTNM0B5N1WXPBJ69/annotated+stills.006.jpeg</image:loc>
      <image:title>All Projects - Painting with dendritic branching - Entering the next medium results in finer branches</image:title>
      <image:caption>With enough solute to travel into the 2.5 : 1 medium, finer branches can be observed with the ink diffusing very minimally through the paint substrate vertically</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - Painting with dendritic branching - The thickest medium has very fine features</image:title>
      <image:caption>In the final 3:1 medium the ink is able to form very stable dendritic structures that are very fine.</image:caption>
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    <image:image>
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      <image:title>All Projects - Painting with dendritic branching</image:title>
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      <image:title>All Projects - Painting with dendritic branching</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2018/6/5/understanding-feature-representations-of-data</loc>
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    <priority>0.5</priority>
    <lastmod>2022-11-30</lastmod>
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      <image:title>All Projects - The Intuition Behind Feature Representations using Sculptures</image:title>
      <image:caption>Sculpture by Rashad Alakbarov</image:caption>
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    <image:image>
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      <image:title>All Projects - The Intuition Behind Feature Representations using Sculptures</image:title>
      <image:caption>2-class and 2-dimensional classification problem</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - The Intuition Behind Feature Representations using Sculptures</image:title>
      <image:caption>Sculpture by Rashad Alakbarov</image:caption>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/9/22/characterizing-a-meteorite-older-than-earth</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-09-27</lastmod>
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      <image:title>All Projects - Characterizing a Meteorite Older than Earth</image:title>
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      <image:title>All Projects - Characterizing a Meteorite Older than Earth</image:title>
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    <image:image>
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      <image:title>All Projects - Characterizing a Meteorite Older than Earth</image:title>
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    <image:image>
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      <image:title>All Projects - Characterizing a Meteorite Older than Earth</image:title>
      <image:caption>Bright field image taken before etching. Notice the grain boundary is already visible even before Nital!</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - Characterizing a Meteorite Older than Earth</image:title>
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      <image:title>All Projects - Characterizing a Meteorite Older than Earth</image:title>
      <image:caption>Image taken from here: http://twistedsifter.com/2013/04/billions-year-old-fukang-meteorite/</image:caption>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/using-convolutional-neural-networks-to-identify-fish-species-in-camera-footage</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-01-23</lastmod>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
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    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
      <image:caption>Bias terms are ignored in the above cartoon for the sake of simplicity</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - Using Convolutional Neural Networks to Identify Fish Species in Camera Footage</image:title>
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  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/8/3/unsupervised-learning-for-signal-unmixing-in-hyperspectroscopy</loc>
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    <priority>0.5</priority>
    <lastmod>2017-08-30</lastmod>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
      <image:caption>Taken from: http://iiis.tsinghua.edu.cn/~jianli/courses/ATCS2016spring/ATCS-21.jpg</image:caption>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
    </image:image>
    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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    <image:image>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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      <image:title>All Projects - Unsupervised Learning for Signal Unmixing in Hyperspectroscopy</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/29/forging-furnace</loc>
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    <priority>0.5</priority>
    <lastmod>2017-08-03</lastmod>
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      <image:title>All Projects - Forging Furnace</image:title>
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      <image:title>All Projects - Forging Furnace</image:title>
      <image:caption>Final FEA model with the same dimensions and properties as the physical furnace constructed. a) Surface temperature isotherms b) Total heat flux at each element</image:caption>
    </image:image>
    <image:image>
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      <image:title>All Projects - Forging Furnace</image:title>
      <image:caption>The global minimum of the simulation shows convergence after ~50,000 time-steps. The location of the global minimum was found on the outside corner of the box furnace.</image:caption>
    </image:image>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501437030082-6U3LXBR1HIVAXG6210PY/image-asset.jpeg</image:loc>
      <image:title>All Projects - Forging Furnace</image:title>
      <image:caption>(Left to Right) Michael Chatzidakis, Paul Tallon, Eric Tenuta, Dan Hallat at TMS2017 in front of our sword and poster in San Diego</image:caption>
    </image:image>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501434903535-DVYZXHCKREVKYL329W6C/image-asset.jpeg</image:loc>
      <image:title>All Projects - Forging Furnace</image:title>
      <image:caption>Full view of the finished furnace with the chimney connecting to the fume-hood.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/human-activity-recognition-with-smartphones</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-31</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438743217-G9U58N092ONCZWKE220A/2.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 2. a) Neural network plot when decay was 0.0001 and the size was 18. Line thicknesses show the strength of the connection. b) Classification table when using a size of 18 and a decay of 0.0001. c) Parameter tuning showing the resulting test misclassification rate</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438716331-70XIRX4ZG1574I87HQGR/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 3. a) Classification table using a trained boosting model on a subset of the data (500 iterations, 70/30 train-test split, shrinkage = 0.1, interaction depth = 4) on the Human Activity Recognition with Smartphones dataset. b) Parameter tuning with 500 iterations and 70/30 train-test split to determine the best shrinkage and interaction depth parameters that produce the lowest classification errors. Reproduced from Figure 2 in CSE 780 Assignment 3 [4].</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438817740-C4PV7R1J90SGFVYSQDM2/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 5 Gradient boosting classification of the Human Activity Recognition with Smartphones dataset. a-c) The top three variables (of 562 variables) in the boosting classification that contribute the most to predicting the correct class. Adapted Figure 3 in CSE 780 Assignment 3 [4].</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438946122-LG83XUDDKZW6D8DX98NN/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 7. Classification table using a trained boosting model (500 iterations, 70/30 train-test split, shrinkage = 0.1, interaction depth = 4) on the Human Activity Recognition with Smartphones dataset when using a subset of predictor variables found previously through boosting.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438601809-7Z8U603XVUPZU4XGFOXQ/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 1. Random forest classification of the Human Activity Recognition with Smartphones dataset. a) The importance of individual variables is plotted in terms of how much the accuracy of the model will decrease when removing the listed variable. b) Classification table using a trained random forest model (500 trees, 70/30 train-test split,   ) on the Human Activity Recognition with Smartphones dataset. c) Classification error as a function of number of variables sampled in each bag. Plotting this data as a function of number of trees shows the classification error convergence. This figure is taken from CSE 780 Assignment 3 [4].</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438898687-9KA82S38832K1D460S2W/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 6. a) Feature selection using cross-validated single layer neural networks on a predictor subset determined via cross-validated gradient boosting. The validation set misclassification rate is used as a benchmark for success. b) Resulting test misclassification error as a function of hidden variable size and weight decay. c) Classification table when size = 18 and decay = 0.01.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438781966-MFA8IL0QF5YCZEWTF5D2/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 4. a) Performance of the boosting algorithm as a function of iteration. Lime green line is the deviance during cross-validation and the black line is without cross validation. The dotted blue line is the optimal number of trees (293). b) Histogram of variable importance using all 562 variables. Variable labels were omitted for clarity.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501438998174-7VDM2CE8U3RDXBT0E9SD/image-asset.png</image:loc>
      <image:title>All Projects - Human Activity Recognition with Smartphones</image:title>
      <image:caption>Figure 8. Misclassification rates for all models used in this study as a function of number of predictor variables used.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/the-mars-biome-challenge-teaching</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-03</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501451128353-WSMC1DPBVBZQ0295B4D5/image-asset.png</image:loc>
      <image:title>All Projects - Mars Biome</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501452112825-JEA7B328I325H3A1SJ2F/image-asset.png</image:loc>
      <image:title>All Projects - Mars Biome</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501451292822-QMYUCJAQL6SRVLK2GN1Y/image-asset.png</image:loc>
      <image:title>All Projects - Mars Biome</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501451867139-4TFDE77K2H8RTAWDMVEJ/image-asset.png</image:loc>
      <image:title>All Projects - Mars Biome</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501451162922-1R8V7BADV8OAN5O7WOWE/image-asset.png</image:loc>
      <image:title>All Projects - Mars Biome</image:title>
    </image:image>
  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/taking-3d-images-of-5-nm-nanowire-bundles</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2018-07-28</lastmod>
    <image:image>
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      <image:title>All Projects - Taking 3D Images of 5 nm Nanowire Bundles</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501767619102-0A5NYOF5X24WSIOTXMHH/image-asset.png</image:loc>
      <image:title>All Projects - Taking 3D Images of 5 nm Nanowire Bundles</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501681599280-45QZCZDNR8OJXWWHP9ZS/image-asset.png</image:loc>
      <image:title>All Projects - Taking 3D Images of 5 nm Nanowire Bundles</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/29/moss-bonsai-tree-fresh-water-aquarium</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-31</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1503582731178-96TWBKKAK3S3QZLMVHM0/image-6319.jpeg</image:loc>
      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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      <image:title>All Projects - Moss Bonsai Tree Aquarium</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/29/spirulina-algae-photobioreactor</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-03</lastmod>
    <image:image>
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      <image:title>All Projects - Spirulina Algae Photobioreactor</image:title>
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      <image:title>All Projects - Spirulina Algae Photobioreactor</image:title>
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      <image:title>All Projects - Spirulina Algae Photobioreactor</image:title>
      <image:caption>Spirulina sample sent from AlgaeLab</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501383118830-BZR0QQY1JFXL7T3BGT0I/image-asset.jpeg</image:loc>
      <image:title>All Projects - Spirulina Algae Photobioreactor</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501382433389-XTE9RHMTZODM1Z7DY6EQ/image-asset.jpeg</image:loc>
      <image:title>All Projects - Spirulina Algae Photobioreactor</image:title>
      <image:caption>Spirulina reactor underneath the window with a DIY hydroponic garden above it.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/29/automatic-hydroponic-window-garden</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-31</lastmod>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501456108281-YX77FUP0KJHG82H0TNEQ/image-asset.jpeg</image:loc>
      <image:title>All Projects - Automatic Hydroponic Window Garden</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501454620069-4J0TAQ2KC1EWTBH5JA32/image-asset.jpeg</image:loc>
      <image:title>All Projects - Automatic Hydroponic Window Garden</image:title>
      <image:caption>Source: https://sohydroponics.wordpress.com/</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501455188603-UXW5MJI99H9S7I1Y9SOR/image-6029.jpg</image:loc>
      <image:title>All Projects - Automatic Hydroponic Window Garden</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/algal-biomass-to-produce-carbon-negative-plastics</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-03</lastmod>
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      <image:title>All Projects - Algal Biomass to Produce Carbon Negative Plastics</image:title>
      <image:caption>Figure 3. a) Metabolic pathway for the conversion of CO2 into ethanol (Algenol Biofuels, 2006). b) ethanol/water collection system (Algenol Biofuels, 2006). c) vapor-liquid equilibrium data of the binary ethanol-water system (Dalager, 1969) .</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501441190643-89B0MLML6LCKR31SMYLU/image-asset.png</image:loc>
      <image:title>All Projects - Algal Biomass to Produce Carbon Negative Plastics</image:title>
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    <image:image>
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      <image:title>All Projects - Algal Biomass to Produce Carbon Negative Plastics</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501441144310-NQUJHAT6F5KMAIVBXE3A/image-asset.png</image:loc>
      <image:title>All Projects - Algal Biomass to Produce Carbon Negative Plastics</image:title>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501440999848-VOBX8QULZ2OK587Z0DJR/1.png</image:loc>
      <image:title>All Projects - Algal Biomass to Produce Carbon Negative Plastics</image:title>
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      <image:title>All Projects - Algal Biomass to Produce Carbon Negative Plastics</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/8/2/laser-powered-co2-scrubbing-weather-balloons</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-03</lastmod>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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      <image:title>All Projects - Laser Powered CO2 Scrubbing Weather Balloons</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/making-tumor-targetting-nanoprobes</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-03</lastmod>
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      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/597d2753be6594cef6a34840/1501437858987-6TC68S73MBROB2NGE0IU/Slide7.PNG</image:loc>
      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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      <image:title>All Projects - Making Tumor Targetting Nanoprobes</image:title>
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  </url>
  <url>
    <loc>https://www.mikechatzidakis.com/posts/2017/7/30/measuring-the-resistivity-of-bulk-reduced-graphene-oxide</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2017-08-31</lastmod>
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