SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Non-Locality in multipartite quantum systems

At the micro scale, interactions among particles create fascinating correlations that cannot be explained by any means known to classical physics. This phenomenon, called quantum non-locality, not only proves that the quantum and classical theories differ at the level of elementary particles, but also has a great potential for future quantum technologies. In fact, non-locality lies at the heart of the device-independent quantum information processing, a new paradigm for information processing aiming at designing protocols which do not rely on any assumptions on the devices used, thus closing the mismatch between theory and its implementation. The interest in quantum non-locality has therefore increased dramatically in recent years. However, the efforts have been focused mostly on the bipartite quantum systems, leaving the multipartite case largely unexplored. The overall objective of this fellowship is to significantly advance our understanding of this phenomenon in multipartite quantum states. First, we will thoroughly study the relation between multipartite entanglement and non-locality with the aim of identifying entangled states which are useful for device-independent quantum information. Second, we will focus on non-locality in many-body quantum physics, a subject that has barely been explored. In particular, we will ask what non-locality can tell us about physical properties of many-body quantum systems. In the last part we will aim at characterization of the set of quantum correlations and propose novel and stronger information principles fully describing quantum non-local correlations. The action will involve theoretical research at the frontiers of quantum theory, quantum information, entanglement theory and many-body systems, but also knowledge of the state-of-the-art experimental technology will be necessary. It thus requires strong collaboration between many theoreticians, also from the European institutions, as well as interaction with experimentalists.
Allogeneic mesenchymal stem cell therapy for refractory cytopenias after hematopoietic stem cell transplantation

Posttransplant cytopenias are a severe complication after allogeneic stem cell transplantation (allo-SCT) and their origin is often multifactorial or unknown. They are frequently refractory to standard therapy, which may include steroids and/or immunoglobulins. Mesenchymal stem cells (MSCs) are an attractive therapeutic tool in the allo-SCT setting for the ability to enhance engraftment as well as acting as immunosuppressants for graft-versus-host disease. There is no prior experience in the literature of the use of MSCs to treat cytopenias after allo-SCT.In this work we report for the first time four cases of refractory posttransplant cytopenias (three patients with thrombocytopenia and one with neutropenia) that were treated with MSCs from a third-party donor. MSCs were expanded from 100 mL of marrow obtained under standard good manufacturing practice conditions. Most patients received more than one cell dose, and median dose of MSCs administered was 1 × 10(6) /kg.All patients recovered normal blood counts, with a mean follow-up of 12.5 months. There were no adverse events related to MSC administration.MSC therapy may contribute to the recovery of refractory posttransplant peripheral cytopenias in patients undergoing allo-SCT.
Imaging Surveillance of Hypervascular Liver Lesions in Non-Cirrhotic Patients

A consensus surveillance protocol is lacking for non-cirrhotic patients with hypervascular liver lesions presumed to represent hepatocellular adenomas. Patients with hypervascular liver lesions <5 cm not meeting criteria for focal nodular hyperplasia or hepatocellular carcinoma underwent surveillance with contrast-enhanced magnetic resonance imaging (MRI) 6, 12, and 24 months after baseline imaging. If lesions remained stable or decreased in size, then surveillance imaging was discontinued. Between 2011 and 2014, 116 patients with hypervascular liver lesions were evaluated. Seventy-nine patients were eligible for the surveillance protocol. Median follow-up was 24 months (range, 1-144 months). One patient (1 %) continued oral contraceptive pill (OCP) use and presented with hemorrhage requiring embolization 5 months after initial diagnosis. Ten patients (13 %) underwent elective embolization or surgical resection for size ≥5 cm. The remaining 68 patients (86 %) continued surveillance without hemorrhage or malignant transformation. Risk factors for requiring intervention during the surveillance period included younger age, larger lesion size, and estrogen use (all p < 0.05). Patients with hepatocellular adenomas <5 cm can safely be observed after discontinuing OCP with serial imaging 6, 12, and 24 months after diagnosis. If lesions remain stable or decrease in size, then longer-term surveillance is unlikely to identify patients at risk for complications.
Female-Biased Symbionts and Tomato Yellow Leaf Curl Virus Infections in Bemisia tabaci

The female-biased infection of facultative symbionts has been found in Bemisia tabaci; however, whether there are any differences in tomato yellow leaf curl virus (TYLCV) and obligate symbiont infection rates between females and males is unknown. Determining whether such differences exist would be very important for understanding the spread of the plant virus and of the symbionts. We compared both symbiont infection types, including obligate and facultative symbionts, and the rates of TYLCV infection in both sexes in five field populations from Jiangsu Province, China. The obligate symbiont Portiera aleyrodidarum was not found in every whitefly tested. In all tested populations, more females than males were found to harbor P. aleyrodidarum; and more females than males also harbored Hamiltonella defense, the most common facultative symbiont as well as Cardinium. In addition to female-biased symbiont infections, there were also female-biased TYLCV infections, and the infection frequencies of this plant virus in females were higher than those in males. Taken together, these results suggested that both the female-biased symbiont infections and female-biased TYLCV infections promoted the rapid spread of TYLCV in China.
[The role of transforming growth factor-β in the pathogenesis of mitral valve prolapse].

Changes in activity of the components of TGF-β signaling pathway is associated with inherited disorders of connective tissue such as Marfan syndrome, Loeys-Dietz syndrome, etc. However, its impact on mitral valve prolapse (MVP) has not been completely studied. We examined 35 patients undergoing reconstructive surgery due MVP complicated by severe mitral insufficiency (mean age 62.5+/-7.9 years, 46% - men). High level of TGF-βl/2 was detected in majority (65%) of cases and correlated with the thickness of posterior leaflet (r=0.67; p=0.016), residual valve prolapse (r=0.68; p=0.007) and residual mitral regurgitation (MR) (r=0.56; p=0.01). In patients with high TGF-βl/2 level we detected a significant decrease in left ventricular longitudinal systolic (-13.5+/-2.2% vs. -16.6+/-2.3%, p=0.008) and diastolic (1.14+/-0.20 s-1 vs. 1.34+/-0.18 s-1, p=0.04) strain and SR (-0.89+/-0.15 s-1 vs. -1.14+/-0.15 s-1, p=0.002). Thus, TGF-β has a significant impact on the progression of valve myxomatous degeneration. The high activity of TGF-β signaling pathway results also in reduction in LV function, probably due to the profibrotic activity.
Adaptive multifunctional test rigs for aeronautical structures

CleanSky2 has addressed the development of new aircraft concepts and architectures including new materials and manufacturing. In this respect, Adaptive Multifunctional Test Rigs for Aeronautical Structures (AMTRAS project) will contribute to the CleanSky2 objectives with the development of innovative multifunctional Test Rigs, with high performance instrumentation and multishape capability ready to test structural behaviour of new materials (panels) and full-scale demonstrators (Tail unit)
To achieve flexibility with multiaxiality and asynchronous loading conditions, AMTRAS will be built by:
• A flexible parallel system based on hydraulic actuators.
• Machine Vision based Non-contact deformation monitoring and measurement system
• Non-Destructive Testing based on IR Thermography for the detection of structural defects
The flexibility and accuracy provided by AMTRAS Test Rigs will contribute to time-to-market minimization, reducing the time span from concept to validated design. This is line with the topic JTI-CS2-2016-CPF03-AIR-02-22 since preparation and assembly of different multifunctional testing benches will no longer be necessary. In addition, AMTRAS contributes to one of the targeted achievements for defined in Challenge 2 “Maintaining and extending industrial leadership” FlightPath 2050 Goals in the Strategic Research & Innovation Agenda (SRIA) of ACARE (Advisory Council for Aviation Research and Innovation in Europe). According to the SRIA, innovation in aviation is complex, capital intensive and takes time, typically, 15 years can elapse between the generation of a concept and technology being fully developed for a specific application on the next generation of air vehicles. However, market demands shorter cycles of new technology integration, therefore greater efficiency in processes (design, test, validation, certification, manufacture) is demanded to facilitate faster and more frequent introduction of innovations addressing market needs.
Human mobility and settlement patterns from eight EU countries to the Italian regions of Lombardy, Veneto, Tuscany, Lazio and Sicily

Mobility within the EU is increasing with the emergence of a culture of Europeanism, ease of movement and the affordability of travel. Personal mobility joins the mobility of goods, financial markets and financial transactions. The situation has not always been positive, partly because of the economic crisis of 2008 and later; the construction of Europe, far from being complete, continues to encounter obstacles and difficulties. The current migration crisis is one of the strongest motivations for analysing the phenomenon of human mobility in the EU. This article considers the phenomenon of migration in five regions of Italy (Lombardy, Veneto, Tuscany, Lazio and Sicily) by citizens of countries that predominantly experience emigration (Latvia, Romania, Slovakia), immigration (Germany, Sweden, the UK) and countries like Italy where flows of both emigration and immigration are common (Ireland and Spain). The study uses regional units defined not in relation to the history of Europe over the centuries but in relation to the labour market (Labour Market Areas) identified by the National Institute of Statistics (Istat) on the basis of a contemporary parameter related to commuting. This new division of areas in relation to contemporary economic and social situations has made it possible to focus on the actual presence of immigrants by nationality and age in areas that are smaller and which more clearly demonstrate the reasons that explain mobility for production and mobility for consumption.
Cooperation towards a sustainable chemical industry

Our society depends on thousands of indispensable molecules such as pharmaceuticals, agrochemicals, dyes, and coatings. Such products are synthesized from starting materials that originate from fossil resources, mainly oil. As oil is depleting, alternative starting materials are needed. CO2 is a benign and sustainable carbon source, which in analogy to natural photosynthetic processes can be used to form chemical building blocks. However, despite the potential ascribed to CO2, the scope of chemicals available from CO2 remains narrow. In particular, the number of syntheses leading to carbon-carbon (C-C) bond formation from CO2 is limited, although C-C linkages constitute the core of all organic molecules. The CO2PERATE consortium is a cooperation between 3 industrial and 7 academic nodes, with a simple but essential vision: Training of European researchers in the synthesis of indispensable molecules from sustainable carbon sources and with sustainable catalysts. The main focus is on using CO2 as a synthon in C-C bond formation leading to industrially relevant compounds. In order to develop fully sustainable processes, CO2PERATE will react CO2 with biomass-derived starting materials and will use non-precious metal catalysts. The development of CO2-based synthetic pathways is highly beneficial not only for the chemical industry but also for pharmaceutical applications. In particular, CO2PERATE will have major impact on carbon-based isotopic labelling, which is an area of great economic value. The CO2PERATE research program unites leading expertise in catalysis, organic synthesis, computational modelling, isotopic labelling, process plant development, and manufacturing of pharmaceuticals and chemical additives. The research will be complemented by training in transferable skills, including entrepreneurship, patenting, outreach and open science, alongside personally adapted career development, with mentoring, intersectorial exchange, and international mobility.
Moment tensor inversion of early instrumental data: application to the 1917 High Tiber Valley, Monterchi earthquake

&lt;p&gt;In this paper we present a new study on the High Tiber Valley earthquake occurred on April 26, 1917. Using the digitized data from mechanical seismograph records, we computed the source parameters like focal mechanism and moment magnitude from moment tensor (MT). The study of historical earthquakes from an instrumental perspective is crucial because of the complexity of problems associated with the study of seismograms of moderate to large earthquakes occurred from the late 19th century until the early 1960s. Since historical earthquake records show significant uncertainties in phase arrival times and have been recorded by seismograph generally with short natural period, we developed a code to compute the MT based on a forward modeling technique, which uses the amplitude spectra of the full waveform length and the first P-arrival polarities to constrain the P- and T-axes. The best solution is determined by the best fit between the observed and synthetic amplitude spectra and from the coherency between the observed and the theoretical first P-arrival polarities. The 1917 High Tiber Valley earthquake is one of the most important 20th century earthquake occurred in the Italian Peninsula for which the focal mechanism and moment magnitude from seismic records are not available. Additionally, we apply a multidisciplinary approach to characterize the source of this earthquake, combining instrumental, macroseismic, geological and tectonic data and investigations. The computed MT results in a north-south normal fault mechanism (strike: 147°, dip: 29°, slip: −94°), which is consistent with the strike estimated from the macroseismic data (157°). The moment magnitude calculated from the MT and that derived from the macroseismic data are M&lt;span&gt;&lt;sub&gt;w&lt;/sub&gt;&lt;/span&gt;=5.5±0.2 and M&lt;span&gt;&lt;sub&gt;w&lt;/sub&gt;&lt;/span&gt;=5.9±0.1, respectively.&lt;/p&gt;
Smart big data platform to offer evidence-based personalised support for healthy and independent living at home

It is a fact that the European population growth is slowing down, while the population ageing accelerates. Rapid increases in the elderly population are predicted for the coming decades due to the ageing of post-war baby births. Within Europe’s ageing population, Hearing Loss, Cardio Vascular Diseases, Cognitive Impairments, Mental Health Issues and Balance Disorders, as well as Frailty, are prevalent conditions, with tremendous social and financial impact. Preventing, slowing the development of or dealing effectively with the effects of the above impairments can have a significant impact on the quality of life and lead to significant savings in the cost of healthcare services. Digital tools hold the promise for many health benefits that can enhance the independent living and well-being of the elderly. 
Motivated by the above, the aim of the SMART BEAR platform is to integrate heterogeneous sensors, assistive medical and mobile devices to enable the continuous data collection from the everyday life of the elderly, which will be analysed to obtain the evidence needed in order to offer personalised interventions promoting their healthy and independent living. The platform can also be connected to hospitals and other health care service systems to obtain data of the end-users (e.g., medical history) to be considered in making decisions for interventions. SMART BEAR will leverage big data analytics and learning capabilities, allowing for large scale analysis of the above mentioned collected data, to generate the evidence required for making decisions about personalised interventions. Privacy-preserving and secure by design data handling capabilities, covering data at rest, in processing, and in transit, will cover comprehensively all the components and connections utilized by the SMART BEAR platform. The SMART BEAR solution will be validated through five large-scale pilots involving 5.100 elderly living at home in Greece, Italy, France, Spain, Portugal and Romania.
European union contest for young scientists' 2018

European Union Contest for Young Scientists (EUCYS) has been organised since 1989 with the aim of promoting science and research among Europe's youth and bringing together the talented young people across Europe. The young scientists also have the chance to meet others with similar abilities and interests and to be guided by some of the most prominent scientists in Europe. This way EUCYS seeks to strengthen the efforts made in each participating country to attract young people to careers in science and technology. EUCYS has been organised in countries across Europe with the aim of promoting science and research in different countries and bringing research and young talents into spotlight in these countries. Ireland will organise EUCYS for the second time in 2018, after hosting it for the first time in 2004. Ireland also has previous experience in organising an Irish National contest for young scientists for the last 54 years, the longest running competition of its kind in Europe. The host organiser of EUCYS 2018 will be Young Scientist & Technology Exhibition Limited in close cooperation with the Irish Department for Education and Skills.
EUCYS brings together excellent young researchers from 40-69 countries. During 4 days the participating projects will be interviewed by jury members and decisions about European Union prizes, special prizes and host organisation prizes will be made.
On List-Decodability of Random Rank Metric Codes and Subspace Codes

Codes in rank metric have a wide range of applications. To construct such codes with better list-decoding performance explicitly, it is of interest to investigate the listdecodability of random rank metric codes. It is shown that if n/m = b is a constant, then for every rank metric code in Fm×n q with rate R and list-decoding radius ρ must obey the Gilbert-Varshamov bound, that is, R ≤ (1-ρ)(1-bρ). Otherwise, the list size can be exponential and hence no polynomial-time list decoding is possible. On the other hand, for arbitrary 0 0, with E and ρ being independent of each other, with high probability, a random rank metric code with rate R = (1 - ρ)(1 - bρ) - can be efficiently list-decoded up to a fraction ρ of rank errors with constant list size O(1/E). We establish similar results for constant-dimension subspace codes. Moreover, we show that, with high probability, the list-decoding radius of random Fq-linear rank metric codes also achieve the Gilbert-Varshamov bound with constant list size O(exp(1/E)).
The role of induction in operant schedule performance

Baum and Davison (2014b) showed that Baum's (2012) recasting of reinforcement as induction may be quantified by assuming that induction follows a power function of reinforcer rate. This power-function induction is readily integrated with theory based on the matching law. Herrnstein (1970) originally assumed background activities (BO) and their associated reinforcers ro to be constant, but ro should vary with BO. Further, power-function induction implies that BO should vary with reinforcer rate. Baum (1993) reported performance on a wide range of variable-ratio (VR) and variable-interval (VI) schedules. Pigeons' VR peck rate followed an inverted U-shaped relation, but VI peck rate separated into three ranges of food rate: low-to-moderate, moderate-to-high, and extremely high. As food rate increases, the concave downward relation in the low range reaches an inflection point and gives way to a concave upward relation in the higher range. At the extremes of food rate, VI peck rate decreases. A model based on competition between induced pecking and BO accounted for VI peck rate in the moderate to extreme range of food rates. Further research will account for all three ranges, either by integrating power-function induction with matching theory or with a model based on competition between induced activities.
Artificial neuronal network application in recognition of cellular resistance to cisplatin using FTIR technology

Background and Aims: Cisplatin is one of the most useful antineoplastic chemotherapy drugs for a variety of different human cancers. One of the clinical problems in its application which would conse quently affect the therapeutic outcome of its use is the appearance of resistance to this agent. In this project by using FTIR, we have investigated on the spectroscopic differences between cisplatin sensitive and resistance cell lines to acquire more information on the possible mechanism involved in the resistance to this drug. Methods: Three different sensitive and resistance cell lines of human ovarian A2780 and its resistance pair of A2780-CP, human ovarian OV2008 and its resistance pair of C13, and finally human lung carcinoma of HTB56 and its resistance pair of HTB56-CP were grown in the laboratory under standard procedure. Control cells were exposed to saline, but experimental cells to three concentrations of 1, 5 and 10µg/ml of cisplatin for 1h. Cell s were then trypsinized and collected for FTIR spectroscopy in the range of 400 -4000 cm-1. Spectra were proceed by baseline correction, smooting, deconvolution and first derivatisation, from which the average and standard division of each three repetition of each sample was used for mathematical and statistical conclusion. ANN was summarized with Feed forward, back propagation, multi layer perceptron, Hidden neurons, Epoch, Classification error mean and Classification error STD. Results: ANN showed that the non-linear method in neural network with suitable regression may distinguish the sensitive cells from resistance cells in all exposed concentrations within the experimental range with a 92 93% of accuracy. Conclusions: ANN can diagnose the cells resistance to cisplatin with a good accuracy to be applicable for clinical purposes, including chemotherapy program selection.