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Author Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Mari, F.; Leeners, B. pdf  doi
openurl 
  Title Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins Type Journal Article
  Year 2020 Publication Abbreviated Journal Fundamenta Informaticae  
  Volume 174 Issue Pages 283-310  
  Keywords Artificial Intelligence; Virtual Physiological Human; In Silico Clinical Trials; Simulation; Personalised Medicine; In Silico Treatment Optimisation  
  Abstract In Silico Clinical Trials (ISCT), i.e. clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine. In this paper we present methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine ). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans.  
  Address  
  Corporate Author Thesis  
  Publisher IOS Press Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1875-8681 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) MCLab @ davi @ Serial 187  
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Author Chen, Q.M.; Finzi, A.; Mancini, T.; Melatti, I.; Tronci, E. pdf  doi
openurl 
  Title MILP, Pseudo-Boolean, and OMT Solvers for Optimal Fault-Tolerant Placements of Relay Nodes in Mission Critical Wireless Networks Type Journal Article
  Year 2020 Publication Abbreviated Journal Fundamenta Informaticae  
  Volume 174 Issue Pages 229-258  
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  Abstract In critical infrastructures like airports, much care has to be devoted in protecting radio communication networks from external electromagnetic interference. Protection of such mission-critical radio communication networks is usually tackled by exploiting radiogoniometers: at least three suitably deployed radiogoniometers, and a gateway gathering information from them, permit to monitor and localise sources of electromagnetic emissions that are not supposed to be present in the monitored area. Typically, radiogoniometers are connected to the gateway through relay nodes . As a result, some degree of fault-tolerance for the network of relay nodes is essential in order to offer a reliable monitoring. On the other hand, deployment of relay nodes is typically quite expensive. As a result, we have two conflicting requirements: minimise costs while guaranteeing a given fault-tolerance. In this paper, we address the problem of computing a deployment for relay nodes that minimises the overall cost while at the same time guaranteeing proper working of the network even when some of the relay nodes (up to a given maximum number) become faulty (fault-tolerance ). We show that, by means of a computation-intensive pre-processing on a HPC infrastructure, the above optimisation problem can be encoded as a 0/1 Linear Program, becoming suitable to be approached with standard Artificial Intelligence reasoners like MILP, PB-SAT, and SMT/OMT solvers. Our problem formulation enables us to present experimental results comparing the performance of these three solving technologies on a real case study of a relay node network deployment in areas of the Leonardo da Vinci Airport in Rome, Italy.  
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  Publisher IOS Press Place of Publication Editor  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1875-8681 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) MCLab @ davi @ Serial 188  
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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.; 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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  Notes Approved no  
  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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  Series Volume Series Issue Edition  
  ISSN 0018-506x ISBN Medium  
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  Notes Approved no  
  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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  Series Volume Series Issue Edition  
  ISSN 0141-9331 ISBN Medium  
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  Notes Approved no  
  Call Number (up) MCLab @ davi @ Mancini201612 Serial 155  
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Tronci, E. pdf  url
doi  openurl
  Title On Checking Equivalence of Simulation Scripts Type Journal Article
  Year 2021 Publication Journal of Logical and Algebraic Methods in Programming Abbreviated Journal  
  Volume Issue Pages 100640  
  Keywords Formal verification, Simulation based formal verification, Formal Verification of cyber-physical systems, System-level formal verification  
  Abstract To support Model Based Design of Cyber-Physical Systems (CPSs) many simulation based approaches to System Level Formal Verification (SLFV) have been devised. Basically, these are Bounded Model Checking approaches (since simulation horizon is of course bounded) relying on simulators to compute the system dynamics and thereby verify the given system properties. The main obstacle to simulation based SLFV is the large number of simulation scenarios to be considered and thus the huge amount of simulation time needed to complete the verification task. To save on computation time, simulation based SLFV approaches exploit the capability of simulators to save and restore simulation states. Essentially, such a time saving is obtained by optimising the simulation script defining the simulation activity needed to carry out the verification task. Although such approaches aim to (bounded) formal verification, as a matter of fact, the proof of correctness of the methods to optimise simulation scripts basically relies on an intuitive semantics for simulation scripting languages. This hampers the possibility of formally showing that the optimisations introduced to speed up the simulation activity do not actually omit checking of relevant behaviours for the system under verification. The aim of this paper is to fill the above gap by presenting an operational semantics for simulation scripting languages and by proving soundness and completeness properties for it. This, in turn, enables formal proofs of equivalence between unoptimised and optimised simulation scripts.  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2352-2208 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number (up) MCLab @ davi @ Mancini2021100640 Serial 183  
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