1,825 research outputs found

    Google earth engine as multi-sensor open-source tool for supporting the preservation of archaeological areas: The case study of flood and fire mapping in metaponto, italy

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    In recent years, the impact of Climate change, anthropogenic and natural hazards (such as earthquakes, landslides, floods, tsunamis, fires) has dramatically increased and adversely affected modern and past human buildings including outstanding cultural properties and UNESCO heritage sites. Research about protection/monitoring of cultural heritage is crucial to preserve our cultural properties and (with them also) our history and identity. This paper is focused on the use of the open-source Google Earth Engine tool herein used to analyze flood and fire events which affected the area of Metaponto (southern Italy), near the homonymous Greek-Roman archaeological site. The use of the Google Earth Engine has allowed the supervised and unsupervised classification of areas affected by flooding (2013–2020) and fire (2017) in the past years, obtaining remarkable results and useful information for setting up strategies to mitigate damage and support the preservation of areas and landscape rich in cultural and natural heritage

    Heat-killed probiotic bacteria differentially regulate colonic epithelial cell production of human β-defensin-2: dependence on inflammatory cytokines.

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    The inducible antimicrobial peptide human β-defensin-2 (hBD-2) stimulated by pro-inflammatory cytokines and bacterial products is essential to antipathogen responses of gut epithelial cells. Commensal and probiotic bacteria can augment such mucosal defences. Probiotic use in the treatment of inflammatory bowel disease, however, may have adverse effects, boosting inflammatory responses. The aim of this investigation was to determine the effect of selected probiotic strains on hBD-2 production by epithelial cells induced by pathologically relevant pro-inflammatory cytokines and the role of cytokine modulators in controlling hBD-2. Caco-2 colonic intestinal epithelial cells were pre-incubated with heat-killed probiotics, i.e. Lactobacillus casei strain Shirota (LcS) or Lactobacillus fermentum strain MS15 (LF), followed by stimulation of hBD-2 by interleukin (IL)-1β and tumour necrosis factor alpha (TNF-α) in the absence or presence of exogenous IL-10 or anti-IL-10 neutralising antibody. Cytokines and hBD-2 mRNA and protein were analysed by real-time quantitative polymerase chain reaction and enzyme-linked immunosorbent assay. LcS augmented IL-1β-induced hBD-2, whereas LF enhanced TNF-α- and suppressed IL-1β-induced hBD-2. LF enhanced TNF-α-induced TNF-α and suppressed IL-10, whereas augmented IL-1β-induced IL-10. LcS upregulated IL-1β-induced TNF-α mRNA and suppressed IL-10. Endogenous IL-10 differentially regulated hBD-2; neutralisation of IL-10 augmented TNF-α- and suppressed IL-1β-induced hBD-2. Exogenous IL-10, however, suppressed both TNF-α- and IL-1β-induced hBD-2; LcS partially rescued suppression in TNF-α- and IL-1β-stimulation, whereas LF further suppressed IL-1β-induced hBD-2. It can be concluded that probiotic strains differentially regulate hBD-2 mRNA expression and protein secretion, modulation being dictated by inflammatory stimulus and resulting cytokine environment

    Distribution-based bisimulation for labelled Markov processes

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    In this paper we propose a (sub)distribution-based bisimulation for labelled Markov processes and compare it with earlier definitions of state and event bisimulation, which both only compare states. In contrast to those state-based bisimulations, our distribution bisimulation is weaker, but corresponds more closely to linear properties. We construct a logic and a metric to describe our distribution bisimulation and discuss linearity, continuity and compositional properties.Comment: Accepted by FORMATS 201

    Integrated use of multi-temporal multi-sensor and multiscale Remote Sensing data for the understanding of archaeological contexts: the case study of Metaponto, Basilicata

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    This paper is focused on the archaeological area of Metaponto (Μεταπόντιον) and its territory, located in southern Italy. The area played an important role for the agricultural economy and the traffic of goods and people, from the south of Italy towards the central regions, starting from the Neolithic period, and reaching the zenith with the Greek polis of Metaponto and its hinterland. The site is herein analyzed through an integrated use of several Earth observation and remote sensing technologies and ancillary data produced over the years by archaeologists and scholars. The aim was to identify new buried elements of archaeological interest, for the reconstruction of the historical-archaeological landscape. Through the combined use of optical and radar satellite images, high-resolution images obtained by Unmanned Aerial System (visible, multispectral, and thermal infrared), geophysical data, and archival data, it was possible to deepen the knowledge of the area, in particular the “Castrum” area, identifying new buried evidence (structures, roads, and elements of the ancient landscape)

    Probabilistic Timed Automata with Clock-Dependent Probabilities

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    Probabilistic timed automata are classical timed automata extended with discrete probability distributions over edges. We introduce clock-dependent probabilistic timed automata, a variant of probabilistic timed automata in which transition probabilities can depend linearly on clock values. Clock-dependent probabilistic timed automata allow the modelling of a continuous relationship between time passage and the likelihood of system events. We show that the problem of deciding whether the maximum probability of reaching a certain location is above a threshold is undecidable for clock-dependent probabilistic timed automata. On the other hand, we show that the maximum and minimum probability of reaching a certain location in clock-dependent probabilistic timed automata can be approximated using a region-graph-based approach.Comment: Full version of a paper published at RP 201

    Level of compassionate health care service provision and its associated factors among health professionals working in public hospitals of Addis Ababa: health professionals' perspective

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    Background: Compassionate health care service is important for good clinical outcomes and patient satisfaction. However, complaints of non-compassionate care became very familiar and popular grievance of the community in the health care system. The aim of this study was to assess the level of compassionate health care service provision and its associated factors among health professionals working in public hospitals of Addis Ababa, Ethiopia. Methods: A facility based cross sectional study was conducted among six public hospitals of Addis Ababa, Ethiopia. Simple random sampling and systematic sampling methods were applied to select hospitals and each study participants respectively. Data were collected from 400 participants using a self-administered structured questionnaire. The mean of compassionate health care was taken as the cut point to label respondent as good and poor compassionate health care service provider. Bivariate and multivariable logistic regressions were done to determine the associated factors for compassionate care provision. Variables with p values < 0.05 at the multivariable analysis were considered as significantly associated with compassionate care provision. Results: Only 48.0% of health care professionals provided good compassionate care. Learned to be compassionate (AOR ¼ 5.083; CI 95% 2.69, 9.58); patient and their family realistic expectation (AOR ¼ 2.24; CI 95% 1.07, 4.66) were found to be significantly associated with good compassionate health care provision. Conclusions: and recommendations: Good compassionate health care service provision in Addis Ababa hospitals was very low. Teaching health science and medical students to be compassionate and ensuring health care clients to have realistic expectation may be important to farther enhance compassionate health care service provision.Mulugeta Abate, Nigussie Tadesse, Kindie Mitik

    Adoption of Academic Tools in Open Source Communities: The Debian Case Study

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    Part 4: Case StudiesInternational audienceComponent repositories play a key role in the open software ecosystem. Managing the evolution of these repositories is a challenging task, and maintainers are confronted with a number of complex issues that need automatic tools to be adressed properly.In this paper, we present an overview of 10 years of research in this field and the process leading to the adoption of our tools in a FOSS community. We focus on the Debian distribution and in particular we look at the issues arising during the distribution lifecycle: ensuring buildability of source packages, detecting packages that cannot be installed and bootstrapping the distribution on a new architecture. We present three tools, distcheck, buildcheck and botch, that we believe of general interest for other open source component repositories.The lesson we have learned during this journey may provide useful guidance for researchers willing to see their tools broadly adopted by the community
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