W02-01 Advanced Psychopharmacology: practical strategies for rational polypharmacy in mood disorders

Patients with mood disorders frequently present with treatment resistant syndromes or develop tolerance to once effective first line medications. Refractory depressive, manic or mixed episodes challenge psychiatrists to find means of augmenting traditional therapies, despite the paucity of evidence based data that support this practice. The balance between risks and benefits in most cases seems acceptable, provided that the physician and the patients have a clear understanding of the possible adverse and therapeutic interactions and that treatment resistance is not the result of inadequate (dose/time) prescription of a first line monotherapy. The workshop will review the pharmacokinetic and pharmacodynamic interactions among the psychotropic drugs and the strategies to safely and successfully use a rational polypharmacy for the management of treatment resistant mood disorders

Modello di ottimizzazione per l'assegnazione del personale all'assistenza voli: il caso SAT

Lo studio si concentra nella ricerca di modelli di programmazione lineare intera. I modelli cercano di trovare l'assegnazione ottima degli operatori che lavorano per offrire un'assistenza ai voli in sosta nel piazzale aeromobile dell'aeroporto Galileo Galilei di Pisa

Holistic ICT environments for effective mathematics teaching and learning

To understand the numbers world, each child must face a path that includes propaedeutic phases and only overcoming these phases will allow the child to consolidate processes before tackling new ones. If this does not happen, the child becomes self-convinced of \u201dnot being able to understand math\u201d and becomes increasingly aware of it throughout primary school. The transition to middle school may have a significant impact on a child, with specific difficulties or disabilities in learning mathematics, especially if his/her difficulties have not yet been identified. The present thesis studies the contributions of Information and Communication Technology (ICT) in supporting various aspects of mathematical teaching and learning. A multidimensional approach was used. In the first part, empirical studies assessed the effectiveness of digital tools to identify individual differences based on cognitive profiles and emotional responses associated with math performance in children from Northern Italy. In the second part a meta-analysis and systematic review analysis were carried out to evaluate the effectiveness of interventions supporting math learning by means of ICT in the school and home environments respectively. Altogether the thesis indicates that designing holistic ICT environments proves successful for effective mathematics teaching and learning not only for typically developing children but also for students in disadvantaged situations, including those suffering from dyscalculia

National Differences in the Prevalence of Depressive Symptoms in Mania: a Naturalistic Study Using the Dsm-5 'with Mixed Features' Specifier M.I.N.I. Module

Introduction In bipolar I disorder (BD1), manic episodes with depressive symptoms are generally more severe than pure manic episodes, but are not easily identified. The DSM-5 'With Mixed Features' specifier, and accompanying patient-rated Mini-International Neuropsychiatric Interview (M.I.N.I.) module, were designed to aid diagnosis. Objectives To examine patients with BD1 who have mania with depressive symptoms, across countries. Aims To improve the identification of depressive symptoms during a BD1 manic episode. Methods This naturalistic study surveyed psychiatrists and their patients with BD1 (manic episode within previous 3 months), in Germany, Italy, Spain, UK, Turkey, Australia, Brazil and Canada. Psychiatrists provided information on depressive symptoms (DSM-5 'With Mixed Features' specifier plus patient-rated M.I.N.I. module); anxiety, irritability, and agitation; suicide attempts; and treatment response. Results Of 1,035 bipolar patients, 34% had mania 'With Mixed Features'(≥05;3 depressive symptoms), and displayed more severe symptoms, and higher rates of attempted suicide than patients without mixed features. Across countries, severe anxiety occurred in 3.5–19.5% of patients; severe irritability in 4.3–17.0%; and severe agitation in 4.3–19.6%. The proportion of patients experiencing 'prominent dysphoria or depressed mood' was highest in Italy (64.2%). Recurrent suicidal ideation ranged from 8.0% (Germany) to 25.7% (Spain); lifetime rate of attempted suicide was highest in Canada (64.7%). Between-country differences were also reflected in the M.I.N.I. module outcomes. Conclusion Patients with BD1 'With Mixed Features', suffer from a greater burden of disease than patients with pure mania, and there is variation between countries – as detected by physician and patient evaluations

On the Robust Synthesis of Logical Consensus Algorithms for Distributed Intrusion Detection

We introduce a novel consensus mechanism by which the agents of a network can reach an agreement on the value of a shared logical vector function depending on binary input events. Based on results on the convergence of finite-state iteration systems, we provide a technique to design logical consensus systems that minimizing the number of messages to be exchanged and the number of steps before consensus is reached, and tolerating a bounded number of failed or malicious agents. We provide sufficient joint conditions on the input visibility and the communication topology for the method’s applicability. We describe the application of our method to two distributed network intrusion detection problems

Robust Discrete-Time Lateral Control of Racecars by Unknown Input Observers

This brief addresses the robust lateral control problem for self-driving racecars. It proposes a discrete-time estimation and control solution consisting of a delayed unknown input-state observer (UIO) and a robust tracking controller. Based on a nominal vehicle model, describing its motion with respect to a generic desired trajectory and requiring no information about the surrounding environment, the observer reconstructs the total force disturbance signal, resulting from imperfect knowledge of the time-varying tire-road interface characteristics, presence of other vehicles nearby, wind gusts, and other model uncertainty. Then, the controller actively compensates the estimated force and asymptotically steers the tracking error to zero. The brief also presents a closed-loop stability proof of the method, ensuring perfect asymptotic estimation and tracking by the controlled vehicle. The proposed solution advantageously needs no a-priori information about the total disturbance boundedness, additional variables to model uncertainty, or observer parameters to be tuned. Its effectiveness and superiority to existing methods are studied in theory and shown in simulations where a full racecar model, based on the vehicle dynamics blockset, is required to track aggressive maneuvers. Through a faster and more accurate disturbance estimation, the solution robustly ensures better dynamic responses even with measurement noise

MASSCLEAN - MASSive CLuster Evolution and ANalysis Package - Description, Tests, and Results

MASSCLEAN is a new, sophisticated and robust stellar cluster image and photometry simulation package. This package is able to create color-magnitude diagrams and standard FITS images in any of the traditional optical and near-infrared bands based on cluster characteristics input by the user, including but not limited to distance, age, mass, radius and extinction. At the limit of very distant, unresolved clusters, we have checked the integrated colors created in MASSCLEAN against those from other simple stellar population (SSP) models with consistent results. Because the algorithm populates the cluster with a discrete number of tenable stars, it can be used as part of a Monte Carlo Method to derive the probabilistic range of characteristics (integrated colors, for example) consistent with a given cluster mass and age. We present the first ever mass dependent integrated colors as a function of age, derived from over 100,000 Monte Carlo runs, which can be used to improve the current age determination methods for stellar clusters.Comment: 4 pages, 5 figures, Proceedings International Astronomical Union Symposium No. 266, Star Clusters - Basic Galactic Building Blocks throughout Time and Space, Editors: Richard de Grijs & Jacques R. D. Lepin