1,693 research outputs found
Language mediation in schools. The case of parent-teacher meetings.
This chapter focuses on interpreter-mediated interactions between teachers and migrant parents. The chapter includes a review of studies on interpreter-mediated interactions in schools, a description of the data and methodology adopted and the discussion of our data. The main corpus of data consists in audio-recorded interpreter-mediated interactions between teachers and foreign-speaking parents in Italian contexts, largely in primary schools. Interpreting is provided by professional intercultural mediators, who are employed to provide interpreting service in many Italian public areas. The teachers participating in the interactions all speak Italian while parents are of diverse provenances and they speak Chinese, Twi, Arabic, Urdu and Albanian. The main issues dealt with in our interpreter-mediated interactions concern the children’s performance, both at school and during education activities at home (mainly homework). Some reflections are drawn on the ways in which language mediation may affect school–family communication when the families are migrant
Electron-phonon coupling in potassium-doped graphene: Angle-resolved photoemission spectroscopy
The electron-phonon coupling in potassium-doped graphene on Ir(111) is
studied via the renormalization of the pi* band near the Fermi level, using
angle-resolved photoemission spectroscopy. The renormalization is found to be
fairly weak and almost isotropic, with a mass enhancement parameter of lambda=
0.28(6) for both the K-M and the K-G direction. These results are found to
agree well with recent first principles calculations.Comment: 5 pages, 3 figure
Predicting human eye fixations via an LSTM-Based saliency attentive model
Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional neural networks for predicting gaze fixations. In this paper, we go beyond standard approaches to saliency prediction, in which gaze maps are computed with a feed-forward network, and present a novel model which can predict accurate saliency maps by incorporating neural attentive mechanisms. The core of our solution is a convolutional long short-term memory that focuses on the most salient regions of the input image to iteratively refine the predicted saliency map. In addition, to tackle the center bias typical of human eye fixations, our model can learn a set of prior maps generated with Gaussian functions. We show, through an extensive evaluation, that the proposed architecture outperforms the current state-of-the-art on public saliency prediction datasets. We further study the contribution of each key component to demonstrate their robustness on different scenarios
Understanding decentralization: deconcentration and devolution processes in the French and Italian cultural sectors
none3noPurpose – Decentralization is a widespread and international phenomenon in public administration. Despite the interest of public management scholars, an in-depth analysis of the interrelationship between two of its forms – deconcentration and devolution – and its impact on policy and management capacities at the local level is seldom investigated. Design/methodology/approach – This article addresses this gap by examining the implementation of deconcentration and devolution processes in France and Italy in the cultural field, combining the analysis of national reform processes with in-depth analyses of two regional cases. The research is the result of document analysis, participatory observation and semi-structured interviews. Findings – The article reconstructs the impacts of devolution and deconcentration processes on the emergence of policy and management capacity in two regions (Rhone-Alpes and Piedmont) in the cultural sector. The article shows that decentralization in the cultural sector in France and Italy is the result of different combinations of devolution and deconcentration processes, that the two processes mutually affect their effectiveness, and that this effectiveness is deeply linked to the previous policy and management capacity of the central state in a specific field/country. Originality/value – The article investigates decentralization as a result of the combination of deconcentration and devolution in comparative terms and in a specific sector of implementation, highlighting the usefulness of this approach also for other sectors/countries.mixedSantagati, Maria Elena; Bonini Baraldi, Sara; Zan, LucaSantagati, Maria Elena; Bonini Baraldi, Sara; Zan, Luc
Salification Controls the In-Vitro Release of Theophylline
Sustained released formulation is the most used strategy to control the efficacy and the adverse reactions of an API (active pharmaceutical ingredient) with a narrow therapeutic index. In this work, we used a different way to tailor the solubility and diffusion of a drug. Salification of Theophylline with Squaric Acid was carried out to better control the absorption of Theophylline after administration. Salification proved to be a winning strategy decreasing the dissolution of the APIs up to 54% with respect to Theophylline. Most importantly, this was accomplished in the first 10 min of the dissolution process, which are the most important for the API administration. Two polymorphs were identified and fully characterized. Theophylline squarate was discovered as trihydrate (SC-XRD) and as a metastable anhydrous form. Indeed, during the Variable Temperature-XRPD experiment, the trihydrate form turned back into the two starting components after losing the three molecules of water. On the other hand, the synthesis of the trihydrate form was observed when a simple mixing of the two starting components were exposed to a high humidity relative percentage (90% RH)
Using Expert Models in Human Reliability Analysis - A Dependence Assessment Method Based on Fuzzy Logic
International audienceIn human reliability analysis (HRA), dependence analysis refers to assessing the influence of the failure of the operators to perform one task on the failure probabilities of subsequent tasks. A commonly used approach is the technique for human error rate prediction (THERP). The assessment of the dependence level in THERP is a highly subjective judgment based on general rules for the influence of five main factors. A frequently used alternative method extends the THERP model with decision trees. Such trees should increase the repeatability of the assessments but they simplify the relationships among the factors and the dependence level. Moreover, the basis for these simplifications and the resulting tree is difficult to trace. The aim of this work is a method for dependence assessment in HRA that captures the rules used by experts to assess dependence levels and incorporates this knowledge into an algorithm and software tool to be used by HRA analysts. A fuzzy expert system (FES) underlies the method. The method and the associated expert elicitation process are demonstrated with a working model. The expert rules are elicited systematically and converted into a traceable, explicit, and computable model. Anchor situations are provided as guidance for the HRA analyst's judgment of the input factors. The expert model and the FES-based dependence assessment method make the expert rules accessible to the analyst in a usable and repeatable way, with an explicit and traceable basis
Predictors of response to erenumab after 12 months of treatment
Objective: Erenumab is a monoclonal antibody acting against calcitonin gene-related peptide receptor and approved for the preventive treatment of chronic migraine. The aim of the present study is to identify clinical predictors of good response in patients with chronic migraine and medication overuse-headache. Material and methods: This was a retrospective single-center not funded study. Enrolled patients were affected by chronic migraine and medication overuse-headache treated with erenumab monthly, up to 1 year. At 1 year, patients were classified as good responders if they displayed a ≥50% reduction in the number of headache days per months compared to the baseline. Results: After 1 year, a significant improvement in the number of headache days per months, analgesic consumption, 6-items headache impact test, and migraine disability assessment questionnaire scores were obtained compared to the baseline. Patients who obtained a ≥50% reduction in the number of headache days per month compared to the baseline displayed a longer history of medication overuse-headache, a higher number of painkillers taken per month at the baseline and a higher number of failed preventive treatments in the past. Conclusions: Patients with longer medication overuse-headache duration, higher analgesic intake, and a higher number of previous preventive treatment failures may receive less benefit with erenumab
Fantastic animals as an experimental model to teach animal adaptation
Background: Science curricula and teachers should emphasize evolution in a mannercommensurate with its importance as a unifying concept in science. The concept of adaptationrepresents a first step to understand the results of natural selection. We settled an experimentalproject of alternative didactic to improve knowledge of organism adaptation. Students wereinvolved and stimulated in learning processes by creative activities. To set adaptation in a historicframe, fossil records as evidence of past life and evolution were considered.Results: The experimental project is schematized in nine phases: review of previous knowledge;lesson on fossils; lesson on fantastic animals; planning an imaginary world; creation of an imaginaryanimal; revision of the imaginary animals; adaptations of real animals; adaptations of fossil animals;and public exposition. A rubric to evaluate the student's performances is reported. The projectinvolved professors and students of the University of Modena and Reggio Emilia and of the "G.Marconi" Secondary School of First Degree (Modena, Italy).Conclusion: The educational objectives of the project are in line with the National Indications ofthe Italian Ministry of Public Instruction: knowledge of the characteristics of living beings, themeanings of the term "adaptation", the meaning of fossils, the definition of ecosystem, and theparticularity of the different biomes. At the end of the project, students will be able to graspparticular adaptations of real organisms and to deduce information about the environment in whichthe organism evolved. This project allows students to review previous knowledge and to form theirpersonalities
Galcanezumab for the treatment of chronic migraine and medication overuse headache: Real-world clinical evidence in a severely impaired patient population
Background: Galcanezumab is a monoclonal antibody acting against the calcitonin gene-related peptide approved for the preventive treatment of migraine. The aim of this article is to explore its effectiveness and safety of galcanezumab in chronic migraine (CM) with medication overuse-headache (MOH). Methods: Seventy-eight patients were consecutively enrolled at the Modena headache center and followed up for 15 months. Visits were scheduled every 3 months, and the following variables were collected: the number of migraine days per month (MDM); the painkillers taken per month (PM); the number of days per month in which the patient took, at least, one painkiller; the six-item headache impact test; and the migraine disability assessment questionnaire (MIDAS) score. Demographic features of the analyzed sample were collected at the baseline and adverse events (AEs) were collected at every visit. Results: After 12 months, galcanezumab significantly reduced the MDM, the PM, the number of days on medication, the HIT-6 as well as the MIDAS scores (all p <.0001). The greatest amelioration was obtained in the first trimester of treatment. A higher MDM, a higher NRS score at the baseline, and a higher number of failed preventive treatments negatively predict the CM relief at the year of treatment. No serious AEs were registered and only one drop-out was due to AE. Conclusions: Galcanezumab is effective and safe for the treatment of patients affected by CM and MOH. Patients with a higher impairment at the baseline may found less benefits with galcanezumab
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