60 research outputs found
Nuevos métodos de tintura en frio para lana.
Este trabajo se inició como un estudio de la influencia de la urea en el proceso de tintura. Se investigaron los efectos de la urea sobre fibras y colorantes, teniendo presente sus dos posibles factores.
1. Las soluciones de urea hinchan la lana permitiendo el fácil acceso del colorante.
2. La urea dispersa y disgrega el colorante permitiendo un acceso más facil de las especies monomoleculares.Peer Reviewe
Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses
The usability of dexterous hand prostheses is still hampered by the lack of natural and effective control strategies. A decoding strategy based on the processing of descending efferent neural signals recorded using peripheral neural interfaces could be a solution to such limitation. Unfortunately, this choice is still restrained by the reduced knowledge of the dynamics of human efferent signals recorded from the nerves and associated to hand movements.Findings: To address this issue, in this work we acquired neural efferent activities from healthy subjects performing hand- related tasks using ultrasound-guided microneurography, a minimally invasive technique, which employs needles, inserted percutaneously, to record from nerve fibers. These signals allowed us to identify neural features correlated with force and velocity of finger movements that were used to decode motor intentions. We developed computational models, which confirmed the potential translatability of these results showing how these neural features hold in absence of feedback and when implantable intrafascicular recording, rather than microneurography, is performed.Conclusions: Our results are a proof of principle that microneurography could be used as a useful tool to assist the development of more effective hand prostheses
Multilinguisme et variétés linguistiques en Europe à l’aune de l’intelligence artificielle Multilinguismo e variazioni linguistiche in Europa nell’era dell’intelligenza artificiale Multilingualism and Language Varieties in Europe in the Age of Artificial Intelligence
Il presente volume è il frutto di una riflessione interdisciplinare e multilingue maturata attorno a diversi eventi organizzati nell’ambito del panel concernente i diritti e le variazioni linguistiche in Europa nell’era dell’intelligenza artificiale all’interno del progetto Artificial Intelligence for European Integration, promosso dal Centro studi sull’Europa TO-EU dell’Università di Torino e cofinanziato dalla Commissione europea. L’interrogativo iniziale che abbiamo voluto sollevare è se l’IA potesse avere un impatto negativo sulle varietà linguistiche e sul multilinguismo, valore “aggiunto” dell’UE, o se potesse, e in che modo, divenire utile per la promozione di essi. Il volume, interamente inedito, può dirsi tra i primi ad affrontare, almeno in Europa, questo tipo di tematiche.This book is the outcome of an interdisciplinary multilingual reflection carried out on research into linguistic rights, multilingualism and language varieties in Europe in the age of artificial intelligence. It is part of the Artificial Intelligence for European Integration project, promoted by the Centre of European Studies To-EU of the University of Turin and co-financed by the European Commission. Our aim was to investigate more generally the negative and/or positive outcomes of AI on language varieties and multilingualism, the latter a key value for the EU. The result is a volume of original unpublished research being made generally available for the first time, at least in Europe.Ce livre a été élaboré à partir d’une réflexion interdisciplinaire et multilingue qui a été menée dans le cadre d’une recherche sur les droits, le multilinguisme et les variétés linguistiques en Europe à l’aune de l’intelligence artificielle à l’intérieur du projet Artificial Intelligence for European Integration promu par le Centre d’études européennes To-EU de l’Université de Turin et cofinancé par la Commission de l’Union européenne. Notre propos était de réfléchir plus généralement sur les conséquences négatives et/ou positives de l’IA sur les variétés linguistiques et le multilinguisme, ce dernier étant une valeur de l’UE. Ce que nous proposons par ce numéro est un livre inédit qui peut se vanter d’être parmi les premiers à s’occuper de ce type de thématique, du moins en Europe
Redox imbalance and morphological changes in skin fibroblasts in typical Rett syndrome.
Evidence of oxidative stress has been reported in the blood of patients with Rett syndrome (RTT), a neurodevelopmental disorder mainly caused by mutations in the gene encoding the Methyl-CpG-binding protein 2. Little is known regarding the redox status in RTT cellular systems and its relationship with the morphological phenotype. In RTT patients (n = 16) we investigated four different oxidative stress markers, F2-Isoprostanes (F2-IsoPs), F4-Neuroprostanes (F4-NeuroPs), nonprotein bound iron (NPBI), and (4-HNE PAs), and glutathione in one of the most accessible cells, that is, skin fibroblasts, and searched for possible changes in cellular/intracellular structure and qualitative modifications of synthesized collagen. Significantly increased F4-NeuroPs (12-folds), F2-IsoPs (7.5-folds) NPBI (2.3-folds), 4-HNE PAs (1.48-folds), and GSSG (1.44-folds) were detected, with significantly decreased GSH (−43.6%) and GSH/GSSG ratio (−3.05 folds). A marked dilation of the rough endoplasmic reticulum cisternae, associated with several cytoplasmic multilamellar bodies, was detectable in RTT fibroblasts. Colocalization of collagen I and collagen III, as well as the percentage of type I collagen as derived by semiquantitative immunofluorescence staining analyses, appears to be significantly reduced in RTT cells. Our findings indicate the presence of a redox imbalance and previously unrecognized morphological skin fibroblast abnormalities in RTT patients
Prune-1 drives polarization of tumor-associated macrophages (TAMs) within the lung metastatic niche in triple-negative breast cancer
M2-tumor-associated macrophages (M2-TAMs) in the tumor microenvironment represent a prognostic indicator for poor outcome in triple-negative breast cancer (TNBC). Here we show that Prune-1 overexpression in human TNBC patients has positive correlation to lung metastasis and infiltrating M2-TAMs. Thus, we demonstrate that Prune-1 promotes lung metastasis in a genetically engineered mouse model of metastatic TNBC augmenting M2-polarization of TAMs within the tumor microenvironment. Thus, this occurs through TGF-β enhancement, IL-17F secretion, and extracellular vesicle protein content modulation. We also find murine inactivating gene variants in human TNBC patient cohorts that are involved in activation of the innate immune response, cell adhesion, apoptotic pathways, and DNA repair. Altogether, we indicate that the overexpression of Prune-1, IL-10, COL4A1, ILR1, and PDGFB, together with inactivating mutations of PDE9A, CD244, Sirpb1b, SV140, Iqca1, and PIP5K1B genes, might represent a route of metastatic lung dissemination that need future prognostic validations
Analysis of Expected Climate Extreme Variability with Regional Climate Simulations over Napoli Capodichino Airport: A Contribution to a Climate Risk Assessment Framework
In recent years, the scientific community has paid particular attention to the analysis of extreme events, such as heat waves, droughts, and intense rain events that have caused loss of human life and significant economic damage. Climate-related extremes generally produce large impact on infrastructures, especially on those with insufficient design, while some infrastructures may become inadequate under the effects of severe extremes. In the particular case of airports, the increase in frequency and severity of extreme weather events will worsen their deterioration rate. This work presents an analysis of the expected climate variability over Napoli Capodichino Airport, using climate projections generated by the Regional Climate Model COSMO-CLM. Simulations were performed over Italy, employing a spatial resolution of approximately 8 km. The time period simulated was 1979–2100, and, in particular, the CMIP5 historical experiment (based on historical greenhouse gas concentrations) was used for the period 1979–2005, while, for the period 2006–2100, two different simulations were performed, employing the Representative Concentration Pathways IPCC RCP4.5 and RCP8.5 greenhouse gas concentrations. The meteorological situations over the airport have been analyzed, along with the identification of conditions that could cause relevant impact on airport environment. In particular, extreme summer temperatures may exceed design standards, leading to heat damage to surfaces, while runways or aprons may have trouble due to the surface melting during peak heat periods. Long term changes in the directions of wind can adversely affect the usability of runways, while changes in wind shear could modify strength and frequency of clear-air turbulence. Analyses have been performed considering suitable Extreme Events Indicators (EWI), both on past trends and on numerical projections over future periods, with the aim of contributing to the definition of a risk assessment methodology based on the combination of the frequency and of the severity of meteorological hazards
Numerical Simulation of the Period 1971–2100 over the Mediterranean Area with a Regional Model, Scenario SRES-A1B
In this work, we discuss the results of numerical simulations performed with the regional model COSMO-CLM over the Mediterranean area at a spatial resolution of 14 km, employing an optimized model configuration. An assessment of model capabilities to reproduce the main features of the recent and past climate has been performed, using two different simulations: The first simulation is driven by the ERA40 Reanalysis and the second, by the CMCC-MED global model. Validation is performed through a comparison with the E-OBS dataset. Climate projections, according to the SRES A1B emission scenario, have been further analyzed in terms of change of 2-m temperature and precipitation, and have shown a significant warming expected at the end of the 21st Century, along with a general reduction in precipitation, particularly evident in spring and summer
STATISTICAL APPROACHES VERSUS WEATHER GENERATOR TO DOWNSCALE RCM OUTPUTS TO POINT SCALE: A COMPARISON OF PERFORMANCES
To properly evaluate weather variables regulating the occurrence of geo-hydrological hazards, the current constraints of climate models imply the need of adopting statistical approaches in cascade to GCM/RCM for the assessment of the potential variations associated to climate changes. Since, in the last years, several approaches, often freely available, have been proposed and applied to investigate various hazards in different geographical areas and geomorphological contexts, a deeper understanding about their performances and constraints is crucial; in the work, it is carried out focusing the attention on two kind of approaches widely adopted in impact studies: bias correction methods (in particular, quantile mapping tools) and weather generators. Both methodology have been applied to outputs of an high resolution RCM simulation carried out on Italian territory for analyzing two very localized (and then challenging) landslide case studies. Beyond an assessment about relative performances in reproducing weather variables on the areas, the goal concerns an increasing awareness about how these approaches could affect the climate signal, physically detected by RCM, not only in outputs weather variables but also in derived components of soil surface budgets strictly governing the occurrence of landslide phenomena
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