<?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%">Olli Koskela</style></author><author><style face="normal" font="default" size="100%">Clemens Dempers</style></author><author><style face="normal" font="default" size="100%">Maritta Kymäläinen</style></author><author><style face="normal" font="default" size="100%">Jarkko Nummela</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Simulating a Biorefinery Ecosystem to Manage and Motivate Sustainable Regional Nutrient Circulation</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Bioreactor</style></keyword><keyword><style  face="normal" font="default" size="100%">circular economy</style></keyword><keyword><style  face="normal" font="default" size="100%">nutrient recycling</style></keyword><keyword><style  face="normal" font="default" size="100%">simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">waste management</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">timreview.ca/article/1421</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">11</style></volume><pages><style face="normal" font="default" size="100%">33-43</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Creating an ecologically sustainable circulation of nutrients requires local solutions with commitment from all participating parties. Due to vast differences between various regions, it is very complicated, if not impossible, to create fair, simple, and applicable legislation that can consider all of these differences in a meaningful way. Thus, there is a need for clear and easy ways of developing sustainable and viable solutions locally, as well as communicating them with local community and all the way up to the supervising governmental representatives. To meet this need, we developed a simulation tool that allows the user to explore the effectiveness and impact of a local biorefinery in waste management. As an iterative model based on state machine agents, it can easily be modified for a multitude of scenarios with changes taking place over time, while considering the viewing points of all involved. In this article, we report the first version of this tool and demonstrate its usefulness in estimating suitable biogas reactor size in a biorefinery.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">Häme University of Applied Sciences
Olli Koskela is currently working as a research manager at Häme University of Applied Sciences with a data science team. His research areas include many bioeconomic processes, such as dairy production, feed quality management, and soil maintenance. He holds a Master of Science degree in applied mathematics from Helsinki University and is finalizing his PhD thesis in the field of biomedical engineering at Tampere University.</style></custom1><custom2><style face="normal" font="default" size="100%">University of Pretoria
Clemens Dempers obtained a MSc in Physics at the University of Natal and is a registered professional physicist. He is interested in multi-paradigm data science and modeling &amp; simulation of complex systems, and how these methodologies can enable better decision making. Clemens has been involved in multiple consulting projects, in South Africa, Botswana, India, New Zealand, and Finland.  He is currently enrolled in a PhD program at the University of Pretoria in the Industrial &amp; Systems Engineering department.</style></custom2><custom3><style face="normal" font="default" size="100%">Häme University of Applied Sciences
Maritta Kymäläinen is currently working as a principal research scientist and leader of a biomass refining team at Häme University of Applied Sciences. She has expertise in valorization of biowastes and side streams by thermal and biotechnical processes, and considerable experience in managing R&amp;D projects related to circular bioeconomy, nutrient recycling, algae production, and overall utilization chains of waste and side streams from horticulture, agriculture, and the food industry. She holds a Doctor of Science (technology) degree in chemical engineering from Åbo Akademi University, and a M.Sc. degree in bioengineering at Helsinki University of Technology.
</style></custom3><custom4><style face="normal" font="default" size="100%">Häme University of Applied Sciences
Jarkko Nummela is currently working as a research service manager in Häme University of Applied Sciences. He has worked as a researcher in various applied research projects mainly with circular economy and especially nutrient circulation. Conversion of biomasses into algae, biogas or biochar has been the main method utilized in his nutrient circulation projects. Jarkko received his MSc (tech) degree in mechanics from the Technical University of Lappeenranta. He has work experience for many years in the metal industry. In early 2000, he graduated from a Biotechnology and Food Engineering degree program at Häme University of Applied Sciences. </style></custom4><section><style face="normal" font="default" size="100%">33</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%">George Cybenko</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">TIM Lecture Series – Cybersecurity Metrics and Simulation</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">metrics</style></keyword><keyword><style  face="normal" font="default" size="100%">modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">simulation</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/839</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">43-45</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">10</style></issue><custom1><style face="normal" font="default" size="100%">Dartmouth College
George Cybenko is the Dorothy and Walter Gramm Professor of Engineering at Dartmouth College in New Hampshire, United States. He has made multiple research contributions in signal processing, neural computing, information security, and computational behavioural analysis. He was the Founding Editor-in-Chief of both IEEE/AIP Computing in Science and Engineering and IEEE Security &amp; Privacy. He has served on the Defense Science Board (2008–2009), on the US Air Force Scientific Advisory Board (2012–2015), and on review and advisory panels for DARPA, IDA, and Lawrence Livermore National Laboratory. Cybenko is a Fellow of the IEEE and received his BS (Toronto) and PhD (Princeton) degrees in Mathematics.</style></custom1></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%">Philip O’Neill</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Protecting Critical Infrastructure by Identifying Pathways of Exposure to Risk</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">critical infrastructure</style></keyword><keyword><style  face="normal" font="default" size="100%">cybersecurity</style></keyword><keyword><style  face="normal" font="default" size="100%">directed graph</style></keyword><keyword><style  face="normal" font="default" size="100%">modelling</style></keyword><keyword><style  face="normal" font="default" size="100%">path analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">risk analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">strongest-path method</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%">08/2013</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/714</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">34-40</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Increasingly, our critical infrastructure is managed and controlled by computers and the information networks that connect them. Cyber-terrorists and other malicious actors understand the economic and social impact that a successful attack on these systems could have. While it is imperative that we defend against such attacks, it is equally imperative that we realize how best to react to them. This article presents the strongest-path method of analyzing all potential pathways of exposure to risk – no matter how indirect or circuitous they may be – in a network model of infrastructure and operations. The method makes direct use of expert knowledge about entities and dependency relationships without the need for any simulation or any other models. By using path analysis in a directed graph model of critical infrastructure, planners can model and assess the effects of a potential attack and develop resilient responses. </style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue><custom1><style face="normal" font="default" size="100%">Deep Logic Solutions
Philip O'Neill is Chief Scientist at Deep Logic Solutions Inc. He holds a PhD in Combinatorics and Optimization from the University of Waterloo, Canada. He is a specialist in operational research and risk analysis, and has additional expertise in mathematical modelling, quantitative analysis, algorithms, and decision support. His career has included 17 years of practice in the Operational Research Division of the Department of National Defence (DND); he has served as chairman of the NATO Panel 7 Specialist Team on the Evaluation of Readiness and Sustainment Policy; and he was chosen by the DND to model dependency relationships among infrastructures in Canada as part of risk analysis for the millennium turnover. Since 2001, he has designed and managed the software development of RiskOutLook, an analytical tool for risk analysis that identifies and quantifies risks that result from dependency relationships. </style></custom1></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%">Chris McPhee</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Editorial: Insights (November 2012)</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">competitive advantage</style></keyword><keyword><style  face="normal" font="default" size="100%">global entrepreneurship</style></keyword><keyword><style  face="normal" font="default" size="100%">green innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">process adaptability</style></keyword><keyword><style  face="normal" font="default" size="100%">process alignment</style></keyword><keyword><style  face="normal" font="default" size="100%">process ambidexterity</style></keyword><keyword><style  face="normal" font="default" size="100%">simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">startups</style></keyword><keyword><style  face="normal" font="default" size="100%">supply chains</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%">11/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/623</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">3-3</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">11</style></issue><custom1><style face="normal" font="default" size="100%">Technology Innovation Management Review 
Chris McPhee is Editor-in-Chief of the &lt;i&gt;Technology Innovation Management Review&lt;/i&gt;. Chris holds an MASc degree in Technology Innovation Management from Carleton University in Ottawa and BScH and MSc degrees in Biology from Queen's University in Kingston. He has over 15 years of management, design, and content-development experience in Canada and Scotland, primarily in the science, health, and education sectors. As an advisor and editor, he helps entrepreneurs, executives, and researchers develop and express their ideas.
</style></custom1></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%">Giacomo Liotta</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Simulation of Supply-Chain Networks: A Source of Innovation and Competitive Advantage for Small and Medium-Sized Enterprises</style></title><secondary-title><style face="normal" font="default" size="100%">Technology Innovation Management Review</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">competitive advantage</style></keyword><keyword><style  face="normal" font="default" size="100%">innovation</style></keyword><keyword><style  face="normal" font="default" size="100%">simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">small and medium-sized enterprises</style></keyword><keyword><style  face="normal" font="default" size="100%">SME</style></keyword><keyword><style  face="normal" font="default" size="100%">supply-chain network</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%">11/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://timreview.ca/article/625</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Talent First Network</style></publisher><pub-location><style face="normal" font="default" size="100%">Ottawa</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">13-20</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">On a daily basis, enterprises of all sizes cope with the turbulence and volatility of market demands, cost variability, and severe pressure from globally distributed competitors. Managing uncertainty about future demand requirements and volumes in supply-chain networks has become a priority. One of the ways to deal with uncertainty is the utilization of simulation techniques and tools, which provide greater predictability of decision-making outcomes. For example, simulation has been widely applied in decision-making processes related to global logistics and production networks at the strategic, tactical, and operational levels, where it is used to predict the impact of decisions before their implementation in complex and uncertain environments. Large enterprises are inclined to use simulation tools whereas small and medium-sized enterprises seem to underestimate its advantages. The objective of this article is to emphasize the relevance of simulation for the design and management of supply-chain networks from the perspective of small and medium-sized firms. </style></abstract><issue><style face="normal" font="default" size="100%">11</style></issue><custom1><style face="normal" font="default" size="100%">University of Southern Denmark
Giacomo Liotta is Assistant Professor in the Institute of Technology and Innovation at the University of Southern Denmark. His research interests concern sustainability and innovation in supply-chain networks, including the simulation of networked logistics-production systems as well as product-lifecycle management. He received a PhD in Economics and Management Engineering at the University of Rome Tor Vergata, Italy; he also holds MBA, MSc,  and BSc degrees in Management and Industrial Engineering from this university. His current teaching activities focus on the design of global supply-chain networks and environmental issues related to their design and implementation. Dr. Liotta is author of more than 20 papers published in international journals, books, and conference proceedings. He has been involved in national and European co-funded research and development projects.</style></custom1></record></records></xml>