Some minor fixes.

Author: Florian Lautenschlager

_includes/publications.html

@@ -17,31 +17,31 @@ <h2>Publications</h2>
 
                 <h4>2015</h4>
                 <ul>
-                    <li>Apache Solr as a compressed, scalable and high performance time series database, FOSDEM, 2015
+                    <li>Apache Solr as a compressed, scalable and high performance time series database, FOSDEM, 2015,
                         <a href="https://speakerdeck.com/florian_lautenschlager/apache-solr-as-a-compressed-scalable-and-high-performance-time-series-database">Slides</a>
                     </li>
                     <li>Fast and efficient operational time series storage: The missing link in dynamic software
-                        analysis, Symposium on Software Performance, 2015
+                        analysis, Symposium on Software Performance, 2015,
                         <a href="http://www.performance-symposium.org/fileadmin/user_upload/palladio-conference/2015/slides/06_FLautenschlager.pdf">Slides</a>
                     </li>
                     <li>Open Source Project Chronix: An efficient and fast time series database based on Apache Solr,
-                        2015
+                        2015,
                         <a href="http://qaware.blogspot.de/2015/12/open-source-project-chronix-efficient.html">Blog</a>
                     </li>
-                    <li>Apache Solr as a compressed, scalable, and high performance time series database, 2015
+                    <li>Apache Solr as a compressed, scalable, and high performance time series database, 2015,
                         <a href="http://qaware.blogspot.de/2015/02/apache-solr-as-compressed-scalable-and.html">Blog</a>
                     </li>
                 </ul>
 
                 <h4>2016</h4>
                 <ul>
                     <li>Chronix – A fast and efficient time series storage based on Apache Solr, Open Source Data Center
-                        Conference, 2016.
+                        Conference, 2016,
                         <a href="/">Soon</a></li>
-                    <li>The new time series kid on the block, Apache Big Data, 2016
+                    <li>The new time series kid on the block, Apache Big Data, 2016,
                         <a href="/">Soon</a>
                     </li>
-                    <li>Time Series Processing with Apache Spark, Apache Big Data, 2016
+                    <li>Time Series Processing with Apache Spark, Apache Big Data, 2016,
                         <a href="/">Soon</a>
                     </li>
                 </ul>