181,358 research outputs found
Shelf-slope exchanges associated with a steep submarine canyon off Calvi (Corsica, NW Mediterranean Sea): A modelling approach
No full textpeer reviewedA three-dimensional, unsteady, nonlinear, high-resolution model is used to investigate the impact of the Calvi Canyon (NW Corsica) steep topography on the shelf-slope exchanges as well as on the circulation in the Calvi Bay in homogeneous winter and early spring conditions. A double σ coordinate system is considered in order to represent adequately the high depth gradients within the canyon. The studied region is under the influence of the West Corsica Current flowing northeastward along the NW Corsican coast (right-bounded flow). Model results show that the circulation in the Calvi Bay is determined by flow modifications in the canyon area. The mean horizontal flow is deviated southwestward upstream of the canyon to form an anticyclonic gyre in the western part of the Calvi Bay. Within the canyon the circulation is cyclonic leading to an offshore flow downstream of the canyon. Around the canyon rim, the cross-shelf currents become important, indicating that this region acts as a transition zone of high exchange between nearshore and offshore areas. Furthermore, the canyon topography generates high downwelling (upwelling) and downsloping (upsloping) velocities responsible for an intense vertical transport of material in the area. Numerical runs are performed for typical prevailing wind conditions. The wind is responsible for a drastic increase of cross-shore transports between the bay and the canyon area (3–4 times larger than in the no-wind case). SW winds induce a further enhancement of cross-shelf exchanges, whereas the effect of N-NE winds is to reduce exchange at the shelf break apart from the canyon head where an intense offshore flow occurs. Within the canyon, high vertical velocities are shown to be associated with high cyclonic vorticity which is enhanced (reduced) by the N-NE (SW) wind event. A comparison between model results and measured distributions of nitrate and chlorophyll a concentrations in the area shows the role played by this specific hydrodynamics as a strong constraint on the coastal pelagic ecosystem
Supplemental Material for Herriage and Calvi, 2024
No full textSupplemental Figures for Herriage and Calvi: Premature endocycling of Drosophila follicle cells causes pleiotropic defects in oogenesis</p
"Producing a (R&)Jspace: Discursive and Social Practices in Verona"
No full textThe essay deals with the city of Verona as a deeply Shakespeare-related urban setting for cultural and tourist industry. Taking Montague at his word, Verona has been turned into the city of Juliet and while Romeo has been somehow left behind, the Shakespearean heroine has slowly been implanted not only in the city’s traditional spaces of the house and the tomb, which civic authorities subjected to a targeted makeover in the 1930s, but also in modern cultural practices and discourses. Dysneyland-like and hyperreal, although not avowedly fake, these ‘Juliet spaces’ are “replete with signs of remains deprived of an original referent”; they signify her myth of sacrificed faithfulness, but controversially occult the power discourses that traversed her story. Juliet is not only the titular owner of a house and a tomb, but also presides over mediaeval festivals, marathons, and civic awards as the tutelary deity of a whole town. Besides, tons of letters are famously written to her from people all over the world who have turned her into the icon of starry-eyed passion. Nonetheless, the essay suggests that this cultural and discursive arrangement ultimately seems to constrain Juliet and her story into a stilted, if golden, civic model of (feminine) love and sacrifice, producing discursive and social practices that encase a hyperreal (R&)Jspace within the larger city
Seismic risk assessment using machine learning for the automatic identification of building features
No full textIn nations with a high seismic hazard and a significantly vulnerable built heritage, seismic risk assessment represents a serious challenge. In particular, when seismic risk needs to be analyzed on large scales, vulnerability and exposure evaluations can lead to time-consuming and expensive investigations. In this work, artificial intelligence techniques are leveraged to address this issue. Specifically, Convolutional Neural Networks (CNNs) are trained to automatically collect data about buildings from satellite imagery and street views. In this work, three CNNs are trained to recognize the following features: building height, material, and construction period, deemed to be the essential parameters for associating a specific seismic vulnerability level to a building. The following step of this study involves the combination of vulnerability and exposure with seismic hazard to evaluate seismic damage and risk. The latter is represented by potential losses in terms of reconstruction costs, number of unusable buildings, and displaced people. Emergency management organizations may find the results of this work useful for setting priority standards for seismic retrofit operations, as well as for allocating rescue resources after an earthquake
Analytical model to predict the out-of-plane response of masonry infill walls
No full textThe use of brick masonry infill walls is a common practice in reinforced concrete (RC) frames. These, classified as non-structural elements and often overlooked in design models, strongly influence the seismic behaviour of RC frames by increasing the overall structural stiffness. In addition, they can lead to significant structural irregularities and be the cause of brittle failure mechanisms, such as soft-floor mechanisms.
This paper aims to present a recently developed analytical model for estimating the lateral out-of-plane (OOP) response of various masonry infill walls. This model implements vertical and horizontal arch mechanisms, including the deformability of the RC frame elements surrounding the panel (i.e., upper beam and columns), the possible presence of external strengthening solutions, and considering different failure mechanisms. The model is calibrated on the results of previous experimental campaigns for thin and thick infill walls, reinforced and unreinforced, also considering previous in-plane damage.
Finally, a parametric analysis based on this model is presented, which is useful for discussing the role of the main vulnerability parameters of infills on their OOP capacity
New Φ method in EN1996 for the verification of second-order effects in load-bearing masonry walls
No full textThe Eurocode 6 (EC6) revision work carried out in recent years within the “CEN/TC 250/SC 6 – Masonry Structure” was an opportunity to reconsider verification methods for unreinforced masonry (URM) walls when subjected to combined vertical and out-of-plane loading and with significant second-order effects. The method proposed in the previous version of EC6 was based on an axial load capacity reduction factor (φm), the values of which were derived from an approximate model, fairly conservative for a wide range of wall stiffnesses. In addition, the previous version of EC6 did not require explicit verification in terms of lateral flexural capacity for URM walls subjected to significant lateral loads (e.g., seismic actions), when it would be appropriate and rational. For the latter verification, which should also take into account second-order effects, a reduction factor similar to φm can be defined for bending capacity reduction (φM). Therefore, this paper aims to show the scientific derivation of the new criteria adopted in the current version of EC6 (EN1996-1-1:2022) for the verification of second-order effects in URM walls. In particular, the numerical procedure for quantifying the φ factors is presented, which has improved the estimates previously available in the literature. Based on these numerical results, prediction models of these φ factors are proposed, which are also used to demonstrate the one-to-one correspondence between φm and φM. Then, validation comparisons are shown between the predicted values of the reduction factors and the relevant experimental and numerical values previously available in the literature. Finally, the calibration of the models proposed in the new version of EC6 is shown for both φm and φM
Le donne Medici nel sistema europeo delle corti (XVI-XVIII
No full textAtti del convegno internazionale Firenze-San Domenico di Fiesole 6-8 ottobre 200
Musei multisettoriali e moda inclusiva: percorsi di accessibilità e innovazione
No full textPerché parlare dell’istituzione museale in relazione alla
moda inclusiva
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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