<?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%">Krista Romita Grocholski</style></author><author><style face="normal" font="default" size="100%">Scott Savitz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">How to Assess the Impact of Non-Lethal Weapons</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%">gray zone</style></keyword><keyword><style  face="normal" font="default" size="100%">impact</style></keyword><keyword><style  face="normal" font="default" size="100%">intermediate force capabilities</style></keyword><keyword><style  face="normal" font="default" size="100%">non-lethal weapons</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%">85-95</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Assessing the tactical, operational, and strategic impact of non-lethal weapons is challenging, requiring different evaluative approaches from those used for lethal weapons. This article describes how a RAND team used a structure called a “logic model” to characterize what these systems and operations are intended to achieve and how they do so. The team then identified a set of metrics that collectively measured each element of the logic model. Additionally, the RAND team developed a diverse set of vignettes in which non-lethal capabilities were used and then qualitatively evaluated each metric in the context of each vignette using a set of standard criteria: how well the metric measured the corresponding element, how easily and quickly the value of the metric could be measured, and how consistently different individuals would likely assess the value of the metric in a particular situation. Based on this work, the logic model can be used to better characterize and communicate the impact of non-lethal weapons and actions at the tactical and operational levels and link these to strategic goals. Operators, planners, and commanders can also select specific metrics to measure the impact of these weapons and actions in real-world operations and wargames, enabling them to make better decisions on when and how to use them to achieve their goals.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">85</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%">Ricard Munné</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Future Security Trends and Their Impact from an Industry Point of View</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%">comprehen¬sive approach</style></keyword><keyword><style  face="normal" font="default" size="100%">Critical Infrastructure</style></keyword><keyword><style  face="normal" font="default" size="100%">EU framework</style></keyword><keyword><style  face="normal" font="default" size="100%">foresight</style></keyword><keyword><style  face="normal" font="default" size="100%">global actor</style></keyword><keyword><style  face="normal" font="default" size="100%">impact</style></keyword><keyword><style  face="normal" font="default" size="100%">industry</style></keyword><keyword><style  face="normal" font="default" size="100%">Natural Disasters</style></keyword><keyword><style  face="normal" font="default" size="100%">security</style></keyword><keyword><style  face="normal" font="default" size="100%">supply chain</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2013</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">29</style></volume><pages><style face="normal" font="default" size="100%">147-160</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Impacts from future security trends on industry have been derived from the work performed in the scenario foresight for alternative futures, and for embedded scenarios of security research in the FOCUS project. For each FOCUS theme,  and for each scenario found in project reports, changes from the current situation have been analyzed and their impacts for different industries and activity sectors have been assessed. Trends have been grouped by industry/activity in each theme and those with significant ground in each scenario have been selected. According to scenario analysis, public services, ICT and technology, and critical infrastructure sectors are those which are more impacted by detected security trends from the scenarios analyzed. Specifically ICT has some cross cutting trends impacting in more than one theme, like information integration; intelligent knowledge based monitoring of new social media and other open information sources, information management and common situational pictures. Natural disasters, global environmental change and comprehensive approach are the most impacted FOCUS themes by future industry security trends. The analysis presented here may be useful for the assessment in the development of new research tracks or new products in the industry.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><section><style face="normal" font="default" size="100%">147</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%">Vyacheslav Kharchenko</style></author><author><style face="normal" font="default" size="100%">Eugene Brezhnev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Formalizing Power Grid Influence to Assess the Safety of Nuclear Power Plants</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%">formalization</style></keyword><keyword><style  face="normal" font="default" size="100%">impact</style></keyword><keyword><style  face="normal" font="default" size="100%">influence</style></keyword><keyword><style  face="normal" font="default" size="100%">NPP</style></keyword><keyword><style  face="normal" font="default" size="100%">nuclear power plant</style></keyword><keyword><style  face="normal" font="default" size="100%">Power grid safety</style></keyword><keyword><style  face="normal" font="default" size="100%">risk assessment.</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2012</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">5</style></number><volume><style face="normal" font="default" size="100%">28</style></volume><pages><style face="normal" font="default" size="100%">65-78</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">After the Fukushima nuclear accident the problem of safe interaction between a nuclear power plant and the power grid requires urgent attention. The Ukrainian power grid is the backbone for stable development of all dependent infrastructures. Nuclear power plants can be seen as elements interacting with the system for power distribution. There are five nuclear power plants (NPP) in Ukraine. The NPP safety depends on the reliability of its subsystems, components, etc., as well as on the safety levels of other power grid subsystems. There are various interdependencies among NPPs and the power grid, which impact the safety levels of both. The balance of these mutual influences is considered as a basis for the stability of any infrastructure. The change of influences could lead to violation of the balance, that in turn may lead to a change in the subsystem’s state. This paper presents an approach for formalization of different types of influences between dependent infrastructures. This approach supports the analysis of the behaviour of infrastructure subsystems and the prediction of their safety levels, considering the change of states. Two metrics are proposed to evaluate the influences: linguistic and numerical. The influence formalization enhances the understanding of risk proliferation and the assurance of NPP safety.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>