132,269 research outputs found
Disumanizzazione. Introduzione alla Sessione5
No full textSessione interdisciplinare con interpretazioni politiche della dimensione “catene” nella prospettiva filosofico politica e simbolica, geopolitica e giuridica.
Prendendo le mosse dal primo riferimento del Panel del Convegno alle Catene del valore, si considera valore principe il concetto di umano analizzando la derelizione e la perdita da diversi punti di vista proprio nel contesto globalizzato e negli intrecci geopolitici, come antropologici e simbolici, giuridici.
Accanto ai divari tra i territori, emergono prepotentemente e pericolosamente quelli tra diverse dimensioni di umano, trasversali alle culture, ai ceti, ai generi. Essi delineano una mappa della disumanizzazione in atto sul globo dentro le democrazie occidentali, con la complicità degli Stati che esprimono regimi violenti. (E. Cuomo(ed.), Per le strade della disumanizzazione. Percorsi filosofico politici, etici e giuridici, Studium, Roma 2021).
La sessione, inoltre, propone il punto di vista critico del pensiero generativo, che, nella prospettiva filosofica di un cambiamento dei presupposti culturali, mira a un radicale ripensamento della politica, a salvaguardia del senso dell’umano
Origin of high radon levels in karst spring mixed waters – the casestudy of the Capodifiume spring group, National Park of the Cilento and Vallo di Diano -European Geopark (Southern Italy)
No full textBased on results of previous geological, hydrogeological and geomorphological surveys, hydrochemical and isotopic tracer techniques were applied for investigating the origin of significantly elevated radon (222Rn) activity concentrations detected at the highly NaCl / CaCO3 mineralized Capodifiume karst spring group, located near the archaeological site of Poseidon-Paestum, Southern Italy. Compared to other karst springs in the Cilento and Vallo di Diano Geopark both, radon concentration and salinity, show remarkably high values as well as a good correlation. Radon concentrations range between 367±20 and 111±8 Bq/l with an average of 230 Bq/l. The high radon levels of the spring water can neither be explained by the composition of the karst aquifer rocks or the attached travertine deposits (limestone and dolomite), which both show low radium (226Ra) concentrations, nor by the dissolved radium content of the spring water. In the study it was shown that there must be a separate radon source inside the aquifer system close to the spring complex. The results suggest that radon source to be mainly represented by the Miocene, paleo-karst “red clays” (laterites) of the Alburni-Cervati Unit, a local discontinuous aquitard that is rich in iron and manganese oxides / hydroxides. The geological unit, which is widely outcropping in the area surrounding the spring complex, has accumulated radium by adsorption, thus generating radon, which is transported to the spring with the fast flowing groundwater. The temporal and local variability of both, the radon content and the salinity of the spring water, can be explained by a variable mixing process of waters from two different aquifer sub-systems: (i) a “normal” karst aquifer with conduits by-passing the “red clay” deposits and (ii) a “red clay” aquifer that is hydrologically connected to the laterites and that is discharging waters of higher salinity and radon concentration
Recent developments on mobile ad-hoc networks and vehicular ad-hoc networks
No full textMobile ad-hoc networks (MANETs) have a decentralized nature that makes them suitable for a variety of applications. The main advantage of a MANET [1] is that its nodes can communicate without any infrastructure. As a result, MANETs are usually deployed in battlefields, natural disasters, etc. MANETs differ from the long-established computer networks, as they have unique characteristics. For example, in a MANET, we observe a frequent link breakage because of node mobility, a high channel-error rate, severe link-layer contentions, and different path properties such as delay, bandwidth, and packet loss rate. Due to these characteristics, the overall performance of a MANET is disturbed in terms of packet delivery ratio, end-to-end delay, network throughput, and network overhead. By applying the principles of MANETs, a vehicular ad-hoc network (VANET) [2] can be established in an ad-hoc mode by vehicles. Using a VANET, vehicles can directly communicate among them, with no supporting infrastructure. Besides, VANETs are employed for road monitoring and infotainment applications, which constitute an integral part of the intelligent transportation system paradigm
Using Radon-222 as a Naturally Occurring Tracer to investigate the streamflow-groundwater interactions in typical Mediterranean fluvial-karst landscapes: interdisciplinary studies in the Campania region (southern Italy).
No full textThe effects of four benzodiazepines and of the benzodiazepine-solvents on the isolated guinea pig ileum preparations
No full textThe effects of fourbenzodiazepine derivatives and of three benzodiazepine-organic solvents on the action of smooth muscle stimulants on the guinea-pig ileum were studied. The role of the organic solvents in relation to the inhibitory effects of these compounds is discussed
A new tool for wide-area analysis of transient pore water pressures in layered shallow covers prone to failure
No full textIn this paper we present a modified version of an existing, physically-based model for shallow landslide susceptibility analysis over large area. In general, the potentially unstable soil cover is considered uniform and homogeneous, over impervious underlying bedrock. In several case studies, this was proven to be unrealistic. The possibility of taking into account the detailed configuration of the soil cover allows having a more accurate estimate of the potentially unstable volumes, which determine the intensity of the considered phenomena. The newly–implemented tool was tested by comparing its results with those obtained from a Finite Element (FE) commercial code, solving the same 1D problem. Then, a parametric analysis was carried out by varying the permeability ratio between the two layers, with the aim of examining the influence of such parameter on the pore-pressure distribution along the vertical profile. As expected, as the permeability ratio increases, the underlying layer tends to behave as an impervious boundary. This increases the chance that only the most superficial soil layer fails. An analysis of the routine performance and efficiency was also done to investigate the response of the model with various tolerances and different spatial discretizations along the vertical profile. As main result, it is shown that the variability in ground conditions may highly affect the pore water pressures and the proposed seepage model can be successfully whether detailed stratigraphy site investigations are available
Multilayered cloud parameters retrievals from combined infrared and microwave satellite observations
No full textA technique based on multispectral satellite observations is proposed to improve the retrieval of cloud parameters in presence of scenes with overlapping cloud layers. The technique combines satellite data measured by the Atmospheric Infrared Radiation Sounder, the Advanced Microwave Sounding Unit-A/B, and the Moderate Resolution Imaging Spectrometer. Cloud properties, such as top heights (CTH) and base heights (CBH), integrated water vapor (IWV), liquid water path (LWP), and ice water path (IWP), are estimated for a variety of scenes, including multilayered cloud cases. Satellite retrievals are validated against ground-based observations collected at the Chilbolton Observatory Facilities (UK) during spacecraft overpasses. Results from the proposed technique are compared with retrievals using the CO2 slicing method ( CTH only) and the standard AIRS Level 2 products ( CTH, IWV, and LWP). The proposed technique shows significant improvements, especially in the presence of multiple cloud layers, at the expenses of larger computational efforts. For the data set considered in this study ( 40 cases), the root mean squared agreement with ground-based observations is within 295, 905, 1094, and 1862 m for the first two CTH and CBH, respectively, and 0.62, 0.08, and 0.02 kg/m(2) for IWV, LWP, and IWP, respectively
Predicting lorawan behavior: How machine learning can help
No full textLarge scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets and apply a machine learning pipeline to: (i) perform device profiling, and (ii) predict the inter-arrival of IoT packets. This latter analysis is very related to the channel and network usage and can be leveraged in the future for system performance enhancements. Our analysis mainly focuses on the use of k-means, Long Short-Term Memory Neural Networks and Decision Trees. We test these approaches on a real large-scale LoRaWAN network where the overall captured traffic is stored in a proprietary database. Our study shows how profiling techniques enable a machine learning prediction algorithm even when training is not possible because of high error rates perceived by some devices. In this challenging case, the prediction of the inter-arrival time of packets has an error of about 3.5% for 77% of real sequence cases
New insights on the influence of free d-aspartate metabolism in the mammalian brain during prenatal and postnatal life
No full textFree d-aspartate is abundant in the mammalian embryonic brain. However, following the postnatal onset of the catabolic d-aspartate oxidase (DDO) activity, cerebral d-aspartate levels drastically decrease, remaining constantly low throughout life. d-Aspartate stimulates both glutamatergic NMDA receptors (NMDARs) and metabotropic Glu5 receptors. In rodents, short-term d-aspartate exposure increases spine density and synaptic plasticity, and improves cognition. Conversely, persistently high d-Asp levels produce NMDAR-dependent neurotoxic effects, leading to precocious neuroinflammation and cell death. These pieces of evidence highlight the dichotomous impact of d-aspartate signaling on NMDAR-dependent processes and, in turn, unveil a neuroprotective role for DDO in preventing the detrimental effects of excessive d-aspartate stimulation during aging. Here, we will focus on the in vivo influence of altered d-aspartate metabolism on the modulation of glutamatergic functions and its involvement in translational studies. Finally, preliminary data on the role of embryonic d-aspartate in the mouse brain will also be reviewed
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