2,475 research outputs found
Philosophy, critique and the present : the question of autonomy in Michel Foucault’s thought
No full text
Earthworm species in Musa spp. (plantain and banana) plantations worldwide
No full textPlantains and bananas (Musa spp.) are perennial crops grown primarily in the tropics and subtropics that may provide suitable habitats for earthworm communities. However, little is known regarding the effects of these crops on the abundance and diversity of earthworm species, and the occurrence of native and exotic earthworm species in plantations worldwide. Hence, a review of the literature was performed to evaluate earthworm communities (abundance, biomass, species composition) in plantain and banana fields worldwide.
Both the common and scientific names of bananas/plantains were used for a bibliographic search online using keywords in English, Portuguese, French and Spanish: Musa (genus), Musa acuminata, Musa balbisiana, banana, banane, banano, plátano and plantain. These were then crossed with the common names of earthworms in these languages: earthworms, minhoca, oligochaeta, oligoqueta, vers de terre and lombriz de tierra. Online scientific databases (e.g., Web of Science, Science Direct, Scielo, google academic and the Base de Dados de Teses e Dissertações of Brazil) were consulted. The resulting publications were reviewed and those containing data on species identification were selected and these data extracted, as well as information on sampling sites (localities, countries, and crop management practices). Earthworm species were separated into different families and into native or exotic to the region of occurrence, and species richness per site and for each group (native, exotic) were computed, when available.
The present dataset consists of an excel file with five spreadsheets, including data from 49 publications:
1. Legend: Explanation of the types of data/information included in the other four spreadsheets, including a description of the variables in each.
2. Sites&species: Includes data on the earthworm family and species found at each locality/country, its origin (native or exotic), and the management practices associated with the collection site. Each collection is associated with its bibliographic reference.
3. Bio&geographic info: Summary calculations including a full list of species encountered (≥104 spp.), their origin (native, exotic), any observations of relevance, total number of records and % occurrences for each earthworm species and family, and the species (total, natives, exotics) richness per country and management practices.
4. Richness: Data on the number of species (total, natives, exotics) at each locality (cf. Table 4 of publication cited below).
5. References: Full bibliographic information of each publication used in the dataset.
This dataset is associated with a Zookeys article of Cremonesi et al. (2020): Earthworm species in Musa spp. plantations in Brazil and worldwide. This publication discusses the main results of the data in the spreadsheets, regarding species richness (native, exotic, total) per crop (plantain, banana), country, and management practices
A staggered fully explicit lagrangian Finite Element Method for Fluid-Structure-Interaction problems
No full textNumerical modelling of liquefied sand-pipeline interaction
No full textSand liquefaction is known to cause significant damage to buildings and infrastructure, and has been documented in several civil and energy engineering applications. In particular, offshore buried pipelines are bound to be exposed to liquefaction problems, and may consequently undergo flotation or sinking. Soil liquefaction, which can be triggered by different types of dynamic loading, implies the development of excess pore pressure up to causing the effective stress to vanish. This changes significantly the soil’s mechanical behaviour, which cannot be captured with standard geotechnical analyses. However the behaviour of liquefied sand may be related, with a simplified one-phase approach, to that of a non-newtonian viscous fluid. In this work, a numerical framework is presented that combines, in a partially coupled fashion, the Particle Finite Element Method (e.g. see Cremonesi et al., 2010, 2017, Della Vecchia et al., 2019) with post-liquefaction re-consolidation Finite Difference calculations. The model is then validated against physical model experimental data of liquefied sand-pipeline interaction, both for the case of pipe sinking and flotation. Results show that, despite the inherent simplifications, this approach is able to capture both qualitatively and quantitatively the fundamental features of pipeline motion in fluidised soil
Replication of Recommender Systems with Impressions
No full textImpressions are a novel data type in Recommender Systems containing the previously-exposed items, i.e., what was shown on-screen. Due to their novelty, the current literature lacks a characterization of impressions, and replications of previous experiments. Also, previous research works have mainly used impressions in industrial contexts or recommender systems competitions, such as the ACM RecSys Challenges. This work is part of an ongoing study about impressions in recommender systems. It presents an evaluation of impressions recommenders on current open datasets, comparing not only the recommendation quality of impressions recommenders against strong baselines, but also determining if previous progress claims can be replicated
A mesh-based Graph Neural Network approach for surrogate modeling of Lagrangian free surface fluid flows
No full textThe study of free surface fluid flows is of significant interest across various research fields, including civil, aerospace, and biomedical engineering. Among the numerical methods used to address free surface problems, the Particle Finite Element Method (PFEM) stands out as a robust and efficient approach. PFEM solves the governing equations using the standard finite element method while addressing mesh distortion through a fast and efficient remeshing procedure. In recent years, deep learning (DL) algorithms have demonstrated remarkable successes in learning from examples, and their application to datasets generated from numerical simulations could result in surrogate models able to reduce the computational cost of classical numerical methods. In the context of free surface fluid simulations, particularly noteworthy are attempts to employ Graph Neural Networks (GNNs) given their ability to process unstructured data that cannot be represented as structured grids, which are typical of these applications. In this work, we introduce NeuralPFEM (NPFEM), a GNN-based approach for surrogate modeling of free surface fluid simulations. NPFEM learns the system's temporal evolution in an autoregressive manner, preserving the same structure of a standard numerical solver. It inherits its hybrid nature from PFEM, combining features of particle-based and mesh-based methods. This hybrid approach distinguishes NPFEM from existing methods, such as the Graph Neural Simulator (GNS), which are purely particle-based. As a result, to construct the graph during training, NPFEM exploits the mesh connectivity already available in the dataset, while GNS must reconstruct graph connectivity at every training step based on particle distributions. During prediction, NPFEM employs PFEM mesh generation algorithm and particle redistribution tools to build the graph connectivity, ensuring a more uniform particle distribution within the domain and producing a mesh-based output solution. This approach preserves mesh quality and mitigates undesirable effects like particle clustering. We evaluate the results both qualitatively and quantitatively, comparing them with those obtained from PFEM. Moreover, we compute physical quantities out of the learned solution. In particular, the output mesh structure, combined with the joint prediction of the velocity and the pressure fields, facilitates the calculation of forces and stresses, a first step in the direction of applying this kind of tool to Fluid–Structure Interaction (FSI) problems
Il corpo mitico dell'eroe. Eroi e santi nella rappresentazione di un cristiano d'Oriente.
No full textThe Greek heroes and gods are vanished into darkness, like bats; actually, Jesus Christ is the victorious light: these are Theodoret’s words in the Graecarum affectionum curatio, one of the most important texts of Christian apologetics. In his work, Theodoret offers to pagans a picture of their own heroes, in order to demonstrate the iniquity of the heroic cult. Evidences of such a statement is provided through Christian rhetorical topoi. However, an important argument against the heroic cult is the practice of ascetic endurance. According to Theodoret, on the one hand, the bodies of pagan heroes, who are unable to endure suffering and diseases, are doomed to be defeated by pain. On the other hand, martyrs and ascetics are able to endure suffering and to assume it, just through their bodies, hardened by karteria, so that they turn it into the mark of holiness. In this sense, Christ’s hypomone is re-enacted by the ascetic hypomone. Therefore, the heroic bodies, defeated by their inability to endure suffering, stress the distance between vera religio and myth. So, the Christian author displays a new kind of relationship between humanity and divinity, describing a scene in which bodies are as meaningful and eloquent as logos
Introduction : Foucault and the Making of Subjects : Rethinking Autonomy between Subjection and Subjectivation
No full text- …
