7,783 research outputs found

    Migrazioni e networks urbani

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    Ripercorrendo l’ampio dibattito sul tema emerge quanto numerose siano le definizioni di integrazione elaborate dagli studiosi che si sono occupati di migrazioni. Soprattutto in anni più recenti, in forza dei rilevanti cambiamenti dei fenomeni migratori in atto, in molti concordano che questi processi sono aperti a molteplici esiti, in gran parte collegati a fattori di contesto politico, sociale, economico e culturale. Questi diversi fattori rappresentano altrettante dimensioni con cui si può guardare all’integrazione, che pertanto si configura come concetto multidimensionale, oltre che dinamico, e che può essere declinato a diversi livelli di analisi. Il livello relazionale (livello meso) rappresenta il punto di convergenza di fattori di integrazione macro e micro: i percorsi di inserimento urbano spesso dipendono dall’efficacia delle reti nelle quali si è inseriti. Questo contributo presenta i risultati di una ricerca condotta nel quartiere Mercato a Napoli, che ha avuto come oggetto di analisi l’integrazione della comunità cabardina, attraverso la metodologia e gli strumenti della Social Network Analysis.There are many definitions of integration developed by scholars of migration. They agree – especially in recent years, due to the significant changes in migration – that these processes are open to multiple outcomes, largely related political, social, economic and cultural factors. These different factors represent the different dimension which you can look to the integration; a term that appears as a multidimensional concept, as well as dynamic, and can be declined at different levels of analysis. The relational level (meso-level) represents the point of convergence between macro and micro factors of integration. In fact, the urban integration processes often depend on the effectiveness of their own social networks. This paper presents the results of a survey in the Mercato neighborhood (Naples). The aim is to analyze the integration of Kabardians community, through Social Network Analysis methods.Peer Reviewe

    Rational treatment of metastatic colorectal cancer: A reverse tale of men, mice, and culture dishes

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    Stratification of colorectal cancer into subgroups with different response to therapy was initially guided by descriptive associations between specific biomarkers and treatment outcome. Recently, preclinical models based on propagatable patient-derived tumor samples have yielded an improved understanding of disease biology, which has facilitated the functional validation of correlative information and the discovery of novel response determinants, therapeutic targets, and mechanisms of tumor adaptation and drug resistance. We review the contribution of patient-derived models to advancing colorectal cancer characterization, discuss their influence on clinical decision-making, and highlight emerging challenges in the interpretation and clinical transferability of results obtainable with such approaches. SIGNIFICANCE: Association studies in patients with colorectal cancer have led to the identification of response biomarkers, some of which have been implemented as companion diagnostics for therapeutic decisions. By enabling biological investigation in a clinically relevant experimental context, patient-derived colorectal cancer models have proved useful to examine the causal role of such biomarkers in dictating drug sensitivity and are providing fresh knowledge on new actionable targets, dynamics of tumor evolution and adaptation, and mechanisms of drug resistance

    Experimental determination of the frequency and field dependence of Specific Loss Power in Magnetic Fluid Hyperthermia

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    Magnetic nanoparticles are promising systems for biomedical applications and in particular for Magnetic Fluid Hyperthermia, a promising therapy that utilizes the heat released by such systems to damage tumor cells. We present an experimental study of the physical properties that influences the capability of heat release, i.e. the Specific Loss Power, SLP, of three biocompatible ferrofluid samples having a magnetic core of maghemite with different core diameter d= 10.2, 14.6 and 19.7 nm. The SLP was measured as a function of frequency f and intensity of the applied alternating magnetic field H, and it turned out to depend on the core diameter, as expected. The results allowed us to highlight experimentally that the physical mechanism responsible for the heating is size-dependent and to establish, at applied constant frequency, the phenomenological functional relationship SLP=cH^x, with 2<x<3 for all samples. The x-value depends on sample size and field frequency/ intensity, here chosen in the typical range of operating magnetic hyperthermia devices. For the smallest sample, the effective relaxation time Teff=19.5 ns obtained from SLP data is in agreement with the value estimated from magnetization data, thus confirming the validity of the Linear Response Theory model for this system at properly chosen field intensity and frequency

    New nurses burnout and workplace wellbeing:The influence of authentic leadership and psychological capital

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    The detrimental effects of burnout on nurses’ health and wellbeing are well documented and positive leadership has been shown to be an important organizational resource for discouraging the development of burnout. Intrapersonal resources also play a protective role against workplace stressors. This study investigated the influence of authentic leadership, an organizational resource, and psychological capital, an intrapersonal resource, on new graduate burnout, occupational satisfaction, and workplace mental health over the first year of employment (n = 205). Results supported the protective role of organizational and intrapersonal resources against burnout, job dissatisfaction, and mental health. © 2014 The Authors. Published by Elsevier GmbH. This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/)

    Cellular-Automata model for dense-snow avalanches

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    This paper introduces a three-dimensional model for simulating dense-snow avalanches, based on the numerical method of cellular automata. This method allows one to study the complex behavior of the avalanche by dividing it into small elements, whose interaction is described by simple laws, obtaining a reduction of the computational power needed to perform a three-dimensional simulation. Similar models by several authors have been used to model rock avalanches, mud and lava flows, and debris avalanches. A peculiar aspect of avalanche dynamics, i.e., the mechanisms of erosion of the snowpack and deposition of material from the avalanche is taken into account in the model. The capability of the proposed approach has been illustrated by modeling three documented avalanches that occurred in Susa Valley (Western Italian Alps). Despite the qualitative observations used for calibration, the proposed method is able to reproduce the correct three-dimensional avalanche path, using a digital terrain model, and the order of magnitude of the avalanche deposit volume

    Energy loss in calorimeters using muon spectrometer information at the 2004 ATLAS Combined Test Beam.

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    In 2004 an ATLAS Combined Test Beam (CTB) was performed in the CERN North area. A complete slice of the barrel detector and of the muon end-cap was tested, with the following goals: pre-commission the final elements and study the combined detector performance. In this note a combined analysis using calorimeter and muon spectrometer information, based on data samples collected during this test, is presented
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