<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Todor Tagarev</style></author><author><style face="normal" font="default" size="100%">Lada Roslycky</style></author><author><style face="normal" font="default" size="100%">Philipp Fluri</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Putin’s Last War: Narratives, Counternarratives, and Early Lessons Learned</style></title><secondary-title><style face="normal" font="default" size="100%">Connections: The Quarterly Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">disinformation</style></keyword><keyword><style  face="normal" font="default" size="100%">Forecasting</style></keyword><keyword><style  face="normal" font="default" size="100%">Global Health Engagement</style></keyword><keyword><style  face="normal" font="default" size="100%">Information warfare</style></keyword><keyword><style  face="normal" font="default" size="100%">Interoperability</style></keyword><keyword><style  face="normal" font="default" size="100%">narrative</style></keyword><keyword><style  face="normal" font="default" size="100%">Professional Military Education</style></keyword><keyword><style  face="normal" font="default" size="100%">propaganda</style></keyword><keyword><style  face="normal" font="default" size="100%">resilience</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2022</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">21</style></volume><pages><style face="normal" font="default" size="100%">5-8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In the early hours of February 24, 2022, the armed forces of the Russian Federation and armed formations of the so-called Donetsk and Lugansk people’s republics attacked Ukraine from the north, east, and south. In parallel, Russia conducted massive cyberattacks and propaganda campaigns. To the surprise of many analysts, Ukraine demonstrated exceptional cohesion, resilience, and will to fight. The raging war is already influencing the international security environment and the thinking on societal preparedness, military capabilities and operations, and will continue to do so in the coming decades. This editorial article presents the early lessons learned from the war, with a focus on Russia’s propaganda narratives and information warfare and ways to counter them, the role of professional military education, and combat medical support.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue><section><style face="normal" font="default" size="100%">5</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Todor Tagarev</style></author><author><style face="normal" font="default" size="100%">Petya Ivanova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computational Intelligence in Multi-Source Data and Information Fusion</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Computational Intelligence</style></keyword><keyword><style  face="normal" font="default" size="100%">Decision Support</style></keyword><keyword><style  face="normal" font="default" size="100%">Forecasting</style></keyword><keyword><style  face="normal" font="default" size="100%">Fuzzy Logic</style></keyword><keyword><style  face="normal" font="default" size="100%">Genetic Algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">MSDF</style></keyword><keyword><style  face="normal" font="default" size="100%">Neural Networks</style></keyword><keyword><style  face="normal" font="default" size="100%">Pattern Recognition</style></keyword><keyword><style  face="normal" font="default" size="100%">Soft Computing</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">33-49</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A model of MultiSource Information Fusion (MSIF) is proposed. It expands the application of proven MSDF techniques to diverse problem areas. This model allows for a unified framework clearly distinguishing processing functions from methods dealing with partial, uncertain, and imprecise information. The concept of computational intelligence provides for a holistic approach to design and integration of methods and algorithms for information fusion. We describe the application of computational intelligence to the fusion of data and information in two studies of early warning. The emphasis is on the power of soft-computing methods in designing early warning architectures pertinent to forecasting events in complex dynamical systems. </style></abstract></record></records></xml>