A unified view to Semantic Web/Grid Information and Services Discovery and Management is being investigated at CNR both at the theoretical level and at the experimental level. The mathematical foundations are being developed with algebraic methods. An experimental prototype is being realized in the area of Cultural Heritage. The paper presents achievements and future directions

We present a multi-year database of atmospheric fields of the upper troposphere, stratosphere and lower mesosphere retrieved from satellite measurements adopting a 2-dimensional tomographic approach. The full mission of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument, on board the European Space Agency ENVISAT satellite, is analyzed with the Geofit Multi-Target Retrieval (GMTR) system to obtain the MIPAS2D database with atmospheric fields of pressure, temperature and volume mixing ratio of MIPAS main targets H2O, O3, HNO3, CH4, N2O, and NO2. The database covers both the MIPAS nominal observation mode measured at Full Resolution (FR) from July 2002 to March 2004 and the nominal observation mode of the new configuration, measured at Optimized Resolution (OR) and introduced in 2005. Further to the main targets, minor species N2O5, ClONO2, COF2, CFC-11, and CFC-12 for the FR mission only have been included in MIPAS2D to enhance its applicability in studies of stratospheric chemistry. The database is continuously updated with the analysis of the ongoing measurements that are planned to last until the end of 2013 and extended to other targets. The GMTR algorithm is operated on a fixed vertical grid coincident with the tangent altitudes of the FR nominal mode, spanning the altitude range from 6 to 68 km. In the horizontal domain, FR measurements are retrieved on both the observational grid and an equispaced 5 latitudinal-degrees grid which is made possible by the 2-dimensional retrieval algorithm. The analysis of MIPAS OR observations is operated on the same altitude-latitude fixed retrieval grid used for the FR measurements. This choice provides a database with a homogeneous altitude and latitude grid, over the whole globe, covering to date about seven years of measurements. The equispaced latitude grid provides a new and convenient layout for the much needed synergetic studies of data from various instrumental and modeling sources. MIPAS2D is available to the scientific community through the two web sites http://www.mbf.fci.unibo.it/mipas2d.html, and http://www.isac.cnr.it/~rss/mipas2d.htm

The statistics of velocity differences between pairs of heavy inertial point particles suspended in an incompressible turbulent flow is studied and found to be extremely intermittent. The problem is particularly relevant to the estimation of the efficiency of collisions among heavy particles in turbulence. We found that when particles are separated by distances within the dissipative subrange, the competition between regions with quiet regular velocity distributions and regions where very close particles have very different velocities (caustics) leads to a quasi bi-fractal behaviour of the particle velocity structure functions. Contrastingly, we show that for particles separated by inertial-range distances, the velocity-difference statistics can be characterized in terms of a local roughness exponent, which is a function of the scale-dependent particle Stokes number only. Results are obtained from high-resolution direct numerical simulations up to 2048 3 collocation points and with millions of particles for each Stokes number.

Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis. Bayesian Modeling in Bioinformatics discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer. It presents a broad overview of statistical inference, clustering, and classification problems in two main high-throughput platforms: microarray gene expression and phylogenic analysis.

10th Edition of the International IMACS/ISGG Workshop MASCOT Series, cosponsored by IAC-CNR and SIMAI, October 20-22, 2010, ULPGC - Edificio de Humanidades, Las Palmas de Gran Canaria, Spain

Minisimposio MSP 39 organizzato nell'ambito del Congresso SIMAI2010 (Cagliari, Giugno 21-25, 2010), Book of Abstracts, SIMAI, Cagliari, 2010, pp 315-322

Clustering is one of the most important unsupervised learning problems and it deals with finding a structure in a collection of unlabeled data; however, different clustering algorithms applied to the same data-set produce different solutions. In many applications the problem of multiple solutions becomes crucial and providing a limited group of good clusterings is often more desirable than a single solution. In this work we propose the Least Square Consensus clustering that allows a user to extrapolate a small number of different clustering solutions from an initial (large) set of solutions obtained by applying any clustering algorithm to a given data-set. Two different implementations are presented. In both cases, each consensus is accomplished with a measure of quality defined in terms of Least Square error and a graphical visualization is provided in order to make immediately interpretable the result. Numerical experiments are carried out on both synthetic and real data-sets. © 2010 Springer-Verlag.

Preface - MASCOT series of International Workshops has been organized every year, since 2001, under the auspices of the International Association for Mathematics and Computers in Simulation (IMACS) and the International Society of Grid Generation (ISGG). The Istituto per le Applicazioni del Calcolo} (IAC) of the CNR (Consiglio Nazionale delle Ricerche) has been, from the beginning, co-sponsor and main organizer of these events. MASCOT09, the 9th Meeting on Applied Scientific Computing and Tools: Grid Generation, Approximation and Visualization, was held in Rome, Italy, October 28-30, 2009, and hosted its animated group of young and senior participants at the CNR Head Office, in Piazzale A. Moro 7. Included as MASCOT09 co-sponsors were SIMAI- Societa' Italiana per la Matematica Applicata e Industriale and the Italian GNCS- Gruppo Nazionale per il Calcolo Scientifico. IAC, within the CNR RSTL (Ricerca Spontanea a Tema Libero) research project Numerical Grid Generation for Applied Scientific Computing, and MASCOT09 promoted the organization of the Guest Special Session " Together for Research: from the University of L'Aquila Onwards" by opening five positions for supported participation of young lecturers. This Special Session was designed to stress the disaster caused on the area of L'Aquila by the earthquake on April 6, 2009, at 3:32 am. In particular to pay attention to its effects on research surviving at the University of L'Aquila, and highlight the difficulties of the student community. As session focus Prof. Elisabetta Santi, from that University, gave a touching talk documenting the historical importance and the present large ruins of her town. Then five young fellows, from international submission, illustrated their scientific results. Even this workshop edition included a large spectrum of topics of the applied scientific computing, dealing with numerical methods and tools for a variety of aspects of modeling, approximation and simulation of crucially important application fields. Workshop presentations showed advanced studies in approximation and in numerical grid generation, developments of efficient solvers for partial differential equations and effective software tools, even for scientific visualization. This Book of Proceedings collects papers illustrating scientific backgrounds, research approaches and results presented at the Workshop, along with a few from the Special Session. Senior and junior expertise matured in several countries, both in west and east Europe, and overseas appears, coming from high qualified universities and research centers, in particular Italian ones, even from the University of L'Aquila. We would like to thank all who gave scientific, technical and organizational support to ensure the success of this edition, MASCOT09. We thank all the participants, senior and young colleagues, who were interested and planned to participate and all actively and warmly made the meeting successful Francesca Pistella Rosa Maria Spitaleri MASCOT09 Chairs- Scientific and Organizing Committees