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Author Mancini, T.; Massini, A.; Tronci, E. pdf  doi
openurl 
  Title Parallelization of Cycle-Based Logic Simulation Type Journal Article
  Year 2017 Publication Parallel Processing Letters Abbreviated Journal  
  Volume 27 Issue 02 Pages  
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  Notes Approved no  
  Call Number (up) MCLab @ davi @ Serial 166  
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Author Hayes, B. P. ; Melatti, I.; Mancini, T.; Prodanovic, M.; Tronci, E. pdf  url
doi  openurl
  Title Residential Demand Management using Individualised Demand Aware Price Policies Type Journal Article
  Year 2017 Publication IEEE Transactions On Smart Grid Abbreviated Journal  
  Volume 8 Issue 3 Pages 1284-1294  
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  Notes Approved no  
  Call Number (up) MCLab @ davi @ Serial 157  
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E. pdf  url
doi  openurl
  Title An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks Type Conference Article
  Year 2018 Publication Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings Abbreviated Journal  
  Volume Issue Pages 302-312  
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  Notes Best Paper Approved no  
  Call Number (up) MCLab @ davi @ DBLP:conf/ismis/ManciniMMST18 Serial 176  
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Author Mancini, T. pdf  doi
openurl 
  Title Now or Never: Negotiating Efficiently with Unknown or Untrusted Counterparts Type Journal Article
  Year 2016 Publication Fundamenta Informaticae Abbreviated Journal  
  Volume 149 Issue 1-2 Pages 61-100  
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  Call Number (up) MCLab @ davi @ DBLP:journals/fuin/Mancini16 Serial 161  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  doi
openurl 
  Title SyLVaaS: System Level Formal Verification as a Service Type Journal Article
  Year 2016 Publication Fundamenta Informaticae Abbreviated Journal  
  Volume 149 Issue 1-2 Pages 101-132  
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  Notes Approved no  
  Call Number (up) MCLab @ davi @ DBLP:journals/fuin/ManciniMMMT16 Serial 160  
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Author Driouich, Y.; Parente, M.; Tronci, E. pdf  doi
openurl 
  Title Model Checking Cyber-Physical Energy Systems Type Conference Article
  Year 2018 Publication Proceedings of 2017 International Renewable and Sustainable Energy Conference, IRSEC 2017 Abbreviated Journal  
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  Publisher Institute of Electrical and Electronics Engineers Inc. Place of Publication Editor  
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  Notes Approved no  
  Call Number (up) MCLab @ davi @ Driouich2018 Serial 177  
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Author Driouich, Y.; Parente, M.; Tronci, E. pdf  doi
openurl 
  Title A methodology for a complete simulation of Cyber-Physical Energy Systems Type Conference Article
  Year 2018 Publication EESMS 2018 – Environmental, Energy, and Structural Monitoring Systems, Proceedings Abbreviated Journal  
  Volume Issue Pages 1-5  
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  Call Number (up) MCLab @ davi @ Driouich20181 Serial 169  
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Author Leeners, B.; Krueger, T.; Geraedts, K.; Tronci, E.; Mancini, T.; Ille, F.; Egli, M.; Roeblitz, S.; Wunder, D.; Saleh, L.; Schippert, C.; Hengartner, M.P. pdf  url
doi  openurl
  Title Cognitive function in association with high estradiol levels resulting from fertility treatment Type Journal Article
  Year 2021 Publication Hormones and Behavior Abbreviated Journal  
  Volume 130 Issue Pages 104951  
  Keywords Cognition, Estrogen, Estradiol, Fertility treatment, Attention, Cognitive bias  
  Abstract The putative association between hormones and cognitive performance is controversial. While there is evidence that estradiol plays a neuroprotective role, hormone treatment has not been shown to improve cognitive performance. Current research is flawed by the evaluation of combined hormonal effects throughout the menstrual cycle or in the menopausal transition. The stimulation phase of a fertility treatment offers a unique model to study the effect of estradiol on cognitive function. This quasi-experimental observational study is based on data from 44 women receiving IVF in Zurich, Switzerland. We assessed visuospatial working memory, attention, cognitive bias, and hormone levels at the beginning and at the end of the stimulation phase of ovarian superstimulation as part of a fertility treatment. In addition to inter-individual differences, we examined intra-individual change over time (within-subject effects). The substantial increases in estradiol levels resulting from fertility treatment did not relate to any considerable change in cognitive functioning. As the tests applied represent a broad variety of cognitive functions on different levels of complexity and with various brain regions involved, we can conclude that estradiol does not show a significant short-term effect on cognitive function.  
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  Call Number (up) MCLab @ davi @ Leeners2021104951 Serial 185  
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.; Hayes, B.; Prodanovic, M.; Elmegaard, L. pdf  doi
openurl 
  Title Parallel Statistical Model Checking for Safety Verification in Smart Grids Type Conference Article
  Year 2018 Publication 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Abbreviated Journal  
  Volume Issue Pages 1-6  
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  Notes Approved no  
  Call Number (up) MCLab @ davi @ mancini-etal:2018:smartgridcomm Serial 170  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  url
doi  openurl
  Title Anytime system level verification via parallel random exhaustive hardware in the loop simulation Type Journal Article
  Year 2016 Publication Microprocessors and Microsystems Abbreviated Journal  
  Volume 41 Issue Pages 12-28  
  Keywords Model Checking of Hybrid Systems; Model checking driven simulation; Hardware in the loop simulation  
  Abstract Abstract System level verification of cyber-physical systems has the goal of verifying that the whole (i.e., software + hardware) system meets the given specifications. Model checkers for hybrid systems cannot handle system level verification of actual systems. Thus, Hardware In the Loop Simulation (HILS) is currently the main workhorse for system level verification. By using model checking driven exhaustive HILS, System Level Formal Verification (SLFV) can be effectively carried out for actual systems. We present a parallel random exhaustive HILS based model checker for hybrid systems that, by simulating all operational scenarios exactly once in a uniform random order, is able to provide, at any time during the verification process, an upper bound to the probability that the System Under Verification exhibits an error in a yet-to-be-simulated scenario (Omission Probability). We show effectiveness of the proposed approach by presenting experimental results on SLFV of the Inverted Pendulum on a Cart and the Fuel Control System examples in the Simulink distribution. To the best of our knowledge, no previously published model checker can exhaustively verify hybrid systems of such a size and provide at any time an upper bound to the Omission Probability.  
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  ISSN 0141-9331 ISBN Medium  
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  Call Number (up) MCLab @ davi @ Mancini201612 Serial 155  
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