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Search Results: 1 - 10 of 9389 matches for " Lorenzo Pio Massimo Martino "
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The Interventions of Pietro da Cortona in the Crypt of Santa Maria in Via Lata in Rome, Studied through a Morphometric Three-Dimensional Survey  [PDF]
Lorenzo Pio Massimo Martino
Open Journal of Civil Engineering (OJCE) , 2014, DOI: 10.4236/ojce.2014.42009
Abstract:

Twenty years after the last archaeological researches and surveys, a new investigation has been carried out on the basement in the church of Santa Maria in Via Lata in Rome. The study has employed three-dimensional surveys with laser scanning methodology and has focused both on archaeological and architectural issues. Indeed, the present layout of the basement derives from a XVII century remodelling of early Christian and medieval spaces planned by Pietro da Cortona. The architect gave a unique setting and composition to the underground spaces, different in shapes and building materials, thanks to the refinement of his baroque language. Though he worked in small spaces with static problems connected to the foundations and to the loads of the church rising above, and with poor lighting and extreme dampness, Pietro da Cortona put skilfully together “modern” elements with ancient or historical pre-existences. The study focuses on Berrettini’s design process through a three-dimensional analysis with CAD systems, starting from the new XVII century fa?ade and from the articulated distribution of routes that led to the intimate underground interiors. Metrical processing gave the possibility to improve the knowledge about room geometry and to confirm the interpretations put forward by major scholars such as Krautheimer and Cavazzi.

Topological Sectors and Gauge invariance in massive Vector-Tensor Theories in D >=4
Pio J. Arias,Lorenzo Leal
Physics , 1996, DOI: 10.1016/S0370-2693(97)00518-2
Abstract: A family of locally equivalent models is considered. They can be taken as a generalization to $d+1$ dimensions of the Topological Massive and ``Self-dual'' models in 2+1 dimensions. The corresponding 3+1 models are analized in detail. It is shown that one model can be seen as a gauge fixed version of the other, and their space of classical solutions differs in a topological sector represented by the classical solutions of a pure BF model. The topological sector can be gauged out on cohomologically trivial base manifolds but on general settings it may be responsible of the difference in the long distance behaviour of the models. The presence of this topological sector appears explicitly in the partition function of the theories. The generalization of this models to higher dimensions is shown to be straightfoward.
Systems and Sensors for Debris-flow Monitoring and Warning
Massimo Arattano,Lorenzo Marchi
Sensors , 2008, DOI: 10.3390/s8042436
Abstract: Debris flows are a type of mass movement that occurs in mountain torrents. They consist of a high concentration of solid material in water that flows as a wave with a steep front. Debris flows can be considered a phenomenon intermediate between landslides and water floods. They are amongst the most hazardous natural processes in mountainous regions and may occur under different climatic conditions. Their destructiveness is due to different factors: their capability of transporting and depositing huge amounts of solid materials, which may also reach large sizes (boulders of several cubic meters are commonly transported by debris flows), their steep fronts, which may reach several meters of height and also their high velocities. The implementation of both structural and nonstructural control measures is often required when debris flows endanger routes, urban areas and other infrastructures. Sensor networks for debris-flow monitoring and warning play an important role amongst non-structural measures intended to reduce debris-flow risk. In particular, debris flow warning systems can be subdivided into two main classes: advance warning and event warning systems. These two classes employ different types of sensors. Advance warning systems are based on monitoring causative hydrometeorological processes (typically rainfall) and aim to issue a warning before a possible debris flow is triggered. Event warning systems are based on detecting debris flows when these processes are in progress. They have a much smaller lead time than advance warning ones but are also less prone to false alarms. Advance warning for debris flows employs sensors and techniques typical of meteorology and hydrology, including measuring rainfall by means of rain gauges and weather radar and monitoring water discharge in headwater streams. Event warning systems use different types of sensors, encompassing ultrasonic or radar gauges, ground vibration sensors, videocameras, avalanche pendulums, photocells, trip wires etc. Event warning systems for debris flows have a strong linkage with debris-flow monitoring that is carried out for research purposes: the same sensors are often used for both monitoring and warning, although warning systems have higher requirements of robustness than monitoring systems. The paper presents a description of the sensors employed for debris-flow monitoring and event warning systems, with attention given to advantages and drawbacks of different types of sensors.
Overlapping ATP2C1 and ASTE1 Genes in Human Genome: Implications for SPCA1 Expression?
Massimo Micaroni,Lorenzo Malquori
International Journal of Molecular Sciences , 2013, DOI: 10.3390/ijms14010674
Abstract: The ATP2C1 gene encodes for the secretory pathway calcium (Ca 2+)-ATPase pump (SPCA1), which localizes along the secretory pathway, mainly in the trans-Golgi. The loss of one ATP2C1 allele causes Hailey-Hailey disease in humans but not mice. Examining differences in genomic organization between mouse and human we speculate that the overlap between ATP2C1 and ASTE1 genes only in humans could explain this different response to ATP2C1 dysregulation. We propose that ASTE1, overlapping with ATP2C1 in humans, affects alternative splicing, and potentially protein expression of the latter. If dysregulated, the composition of the SPCA1 isoform pool could diverge from the physiological status, affecting cytosolic Ca 2+-signaling, and in turn perturbing cell division, leading to cell death or to neoplastic transformation.
Systems and Sensors for Debris-flow Monitoring and Warning
Massimo Arattano,Lorenzo Marchi
Sensors , 2008,
Abstract: Debris flows are a type of mass movement that occurs in mountain torrents. They consist of a high concentration of solid material in water that flows as a wave with a steep front. Debris flows can be considered a phenomenon intermediate between landslides and water floods. They are amongst the most hazardous natural processes in mountainous regions and may occur under different climatic conditions. Their destructiveness is due to different factors: their capability of transporting and depositing huge amounts of solid materials, which may also reach large sizes (boulders of several cubic meters are commonly transported by debris flows), their steep fronts, which may reach several meters of height and also their high velocities. The implementation of both structural and nonstructural control measures is often required when debris flows endanger routes, urban areas and other infrastructures. Sensor networks for debris-flow monitoring and warning play an important role amongst non-structural measures intended to reduce debris-flow risk. In particular, debris flow warning systems can be subdivided into two main classes: advance warning and event warning systems. These two classes employ different types of sensors. Advance warning systems are based on monitoring causative hydrometeorological processes (typically rainfall) and aim to issue a warning before a possible debris flow is triggered. Event warning systems are based on detecting debris flows when these processes are in progress. They have a much smaller lead time than advance warning ones but are also less prone to false alarms. Advance warning for debris flows employs sensors and techniques typical of meteorology and hydrology, including measuring rainfall by means of rain gauges and weather radar and monitoring water discharge in headwater streams. Event warning systems use different types of sensors, encompassing ultrasonic or radar gauges, ground vibration sensors, videocameras, avalanche pendulums, photocells, trip wires etc. Event warning systems for debris flows have a strong linkage with debris-flow monitoring that is carried out for research purposes: the same sensors are often used for both monitoring and warning, although warning systems have higher requirements of robustness than monitoring systems. The paper presents a description of the sensors employed for debris-flow monitoring and event warning systems, with attention given to advantages and drawbacks of different types of sensors.
Distributed team formation in multi-agent systems: stability and approximation
Lorenzo Coviello,Massimo Franceschetti
Computer Science , 2012,
Abstract: We consider a scenario in which leaders are required to recruit teams of followers. Each leader cannot recruit all followers, but interaction is constrained according to a bipartite network. The objective for each leader is to reach a state of local stability in which it controls a team whose size is equal to a given constraint. We focus on distributed strategies, in which agents have only local information of the network topology and propose a distributed algorithm in which leaders and followers act according to simple local rules. The performance of the algorithm is analyzed with respect to the convergence to a stable solution. Our results are as follows. For any network, the proposed algorithm is shown to converge to an approximate stable solution in polynomial time, namely the leaders quickly form teams in which the total number of additional followers required to satisfy all team size constraints is an arbitrarily small fraction of the entire population. In contrast, for general graphs there can be an exponential time gap between convergence to an approximate solution and to a stable solution.
Group buying with bundle discounts: computing efficient, stable and fair solutions
Lorenzo Coviello,Massimo Franceschetti
Computer Science , 2015,
Abstract: We model a market in which nonstrategic vendors sell items of different types and offer bundles at discounted prices triggered by demand volumes. Each buyer acts strategically in order to maximize her utility, given by the difference between product valuation and price paid. Buyers report their valuations in terms of reserve prices on sets of items, and might be willing to pay prices different than the market price in order to subsidize other buyers and to trigger discounts. The resulting price discrimination can be interpreted as a redistribution of the total discount. We consider a notion of stability that looks at unilateral deviations, and show that efficient allocations - the ones maximizing the social welfare - can be stabilized by prices that enjoy desirable properties of rationality and fairness. These dictate that buyers pay higher prices only to subsidize others who contribute to the activation of the desired discounts, and that they pay premiums over the discounted price proportionally to their surplus - the difference between their current utility and the utility of their best alternative. Therefore, the resulting price discrimination appears to be desirable to buyers. Building on this existence result, and letting N, M and c be the numbers of buyers, vendors and product types, we propose a O(N^2+NM^c) algorithm that, given an efficient allocation, computes prices that are rational and fair and that stabilize the market. The algorithm first determines the redistribution of the discount between groups of buyers with an equal product choice, and then computes single buyers' prices. Our results show that if a desirable form of price discrimination is implemented then social efficiency and stability can coexists in a market presenting subtle externalities, and computing individual prices from market prices is tractable.
Darbepoietin-Alfa after High-Dose Melphalan and Autologous Hemopoietic Progenitor Cell in Multiple Myeloma Patients: A Pilot Study  [PDF]
Massimo Martino, Ida Callea, Tiziana Moscato, Antonella Pontari, Elisa Spiniello, Roberta Fedele
Open Journal of Blood Diseases (OJBD) , 2012, DOI: 10.4236/ojbd.2012.23012
Abstract: We describe the effects of Darbepoietin-alfa (Darbe) administration in Multiple Myeloma (MM) after autologous he-mopoietic progenitor cell transplantation (AHPCT). 26 MM patients undergoing AHPCT entered this study. 34 hemo-globin (Hb)-matched patients who had not received recombinant human erythropoietin (Epo) or Darbe and were treated with the same protocol were retrospectively selected for comparative data. Darbe (150 micro g total dose/weekly) was initiating in four weeks after AHPCT, with the aim of achieving an Hb level of ≥11 g/dl. The time to response to Darbe therapy was longer in the patients with Hb < 10 g/dL (p = 0.05) and with endogenous Epo levels ≤ 50 mU/ml (p = 0.0098). Hb level on day 60 and 90 after AHPCT, was faster for Darbe recipients (12.5, range 9.4 - 15.4, vs 10.6, range 8.8 - 13.4 g/dL, p = 0.0001, and 13.5, range 12.3 - 14.3, vs 12, range 9.8 - 14 g/dL, respectively, p = 0.0001). The need for Red Blood Cells transfusion, included in the period of 30 - 90 days post- AHPCT was similar (p = ns). This study demonstrates the accelerating effect of Darbe on Hb increase in the setting evaluated and shows that this effect signify- cantly depends on the endogenous Epo level at the start of treatment. The strategy of giving Darbe around 1 month after high-dose melphalan (HDM) doesn’t reduce RBC transfusion requirement.
Measuring cosmological parameters with Gamma-Ray Bursts
Lorenzo Amati,Massimo Della Valle
Physics , 2013, DOI: 10.1142/S0218271813300280
Abstract: In a few dozen seconds gamma ray bursts (GRBs) emit up to 10^54 erg in terms of an equivalent isotropically radiated energy Eiso, so they can be observed up to z ~10. Thus, these phenomena appear to be very promising tools to describe the expansion rate history of the universe. Here we review the use of the Ep,i - Eiso correlation of GRBs to measure the cosmological density parameter Omega_M. We show that the present data set of Gamma-Ray Bursts, coupled with the assumption that we live in a flat universe, can provide independent evidence, from other probes, that Omega_M ~0.3. We show that current (e.g., Swift, Fermi/GBM, Konus-WIND) and forthcoming GRB experiments (e.g., CALET/GBM, SVOM, Lomonosov/UFFO, LOFT/WFM) will allow us to constrain Omega_M with an accuracy comparable to that currently exhibited by Type Ia supernovae and to study the properties of dark energy and their evolution with time.
Spatial Analysis for Pest Management in Tuscany Análise Espacial na Gest o Florestal na Toscania
Lorenzo Marziali,Leonardo Marianelli,Marco Bagnoli,Pio Federico Roversi
Silva Lusitana , 2011,
Abstract: Within the META project (Extensive Monitoring System of Tuscan Forests) a monitoring campaign has been carried out since 2000 aimed at producing an historical database and map, gathering knowledge on the updated phytosanitary status of the Tuscan forests of Italy. The aim of the present work was to study both population levels and trends among insect pests, in order to foresee new outbreaks of two very damaging forest pests, i.e., the maritime pine bast scale, Matsucoccus feytaudi Duc. (Hom. Coccoidea Margarodidae), and the oak moth processionary, Thaumetopoea processionea (L.) (Lep. Thaumetopoeidae). Monitoring the pine bast scale by pheromone traps got data on its diffusion by means of many georeferenced observation points. This data has been spatialized by the "Thiessen Polygons algorithm" and analyzed by the "Least Accumulative Distance method" to obtain a forecasting map. Monitoring of the oak processionary was done by collecting oak twigs with both new and old egg masses; its population dynamics were analised by a trend index (IT). Data was spatialized by means of "Inverse Distance Weighted Interpolation System" (IDW). The data led to the forecasting of infestation levels. Maps obtained by these spatial analyses are presently used in forest pest management in Tuscany. Com base no projeto de monitoriza o das florestas da Toscania (META project), uma campanha de monitoriza o tem sido realizada desde o ano 2000 para formar uma base de dados histórica e um mapeamento regional rigoroso, permitindo obter um conhecimento atualizado do estado fitosanitário das florestas da Toscania (Itália). O objetivo do presente trabalho foi estudar o nível e a tendência populacional de duas pragas muito importantes na regi o, a cochonilha do pinheiro bravo Matsucoccus feytaudi Duc. (Hom. Coccoidea Margarodidae) e a processionária dos carvalhos Thaumetopoea processionea (L.) (Lep. Thaumetopoeidae), de modo a prever novos surtos destas pragas florestais. A monitoriza o da cochonilha foi feita recorrendo a armadilhas iscadas com feromonas colocadas no terreno em pontos de observa o selecionados e geo-referenciados. Os dados obtidos foram usados para construir uma base de dados geo-referenciada através de "Thiessen Polygons algorithm", tendo sido analisados pelo método "Least Accumulative Distance", de modo a obter um mapeamento de previs o de ocorrência. A processionária dos carvalhos foi monitorizada através da recolha periódica de ramos atacados e com posturas antigas e recentes. A dinamica populacional desta praga foi analisada por um índice de tendência (trend ind
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