SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
FOOD & WINE MARKET PLACE

This project develops in a world economy phase that has experienced a strong contraction for some years. The EU’s internal market is going through a significantly adverse setback, which provokes uncertainty and economic tensions. Given this general situation, it is now necessary to identify new growth drivers for the EU. Revitalising the EU’s internal market is an essential and natural economic goal too often overlooked. This revitalisation may result in actions to develop and promote of intra-EU, cross-border and border-to-border trade, including the historical civilisation of the Mediterranean basin.  The innovative Food and Wine Market Place project intends to develop this approach through multiple themes, such as sustainable development, competitive micro-small and medium-sized enterprises, new jobs, promotion of local areas and business growth. It consists in the development of a virtual platform connecting the supply and demand of agricultural food products with the support of promotional events and partner areas sharing their local knowledge. Typical local products are the direct beneficiaries of this project; therefore, the visibility and attractiveness of cross-border areas will greatly increase, together with those of their agricultural food producers.   Accordingly, the supply chain will act across the board in a complementary way for different economic sectors. For example, it will offer an ethical, sustainable and quality tourism, with the development of food and wine itineraries.
CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog

Distributed online data analytics has attracted significant research interest in recent years with the advent of Fog and Cloud computing. The popularity of novel distributed applications such as crowdsourcing and crowdsensing have fostered the need for scalable energy-efficient platforms that can enable distributed data analytics. In this paper, we propose CARDAP, a (C)ontext (A)ware (R)eal-time (D)ata (A)nalytics (P)latform. CARDAP is a generic, flexible and extensible, component- based platform that can be deployed in complex distributed mobile analytics applications e.g. sensing activity of citizens in smart cities. CARDAP incorporates a number of energy efficient data delivery strategies using real-time mobile data stream mining for data reduction and thus less data transmission. Extensive experimental evaluations indicate the CARDAP platform can deliver significant benefits in energy efficiency over naive approaches. Lessons learnt and future work conclude the paper.
When History Meets Molecular Medicine: Molecular History of Human Tubercolosis

Tuberculosis represents one of the humankind’s most socially devastating diseases. Despite a long history of medical research and the development of effective therapies, this disease remains a global health danger even in the 21st century. Tuberculosis may cause death but infected people with effective immunity may remain healthy for years, suggesting long-term host-pathogen co-existence. Because of its antiquity, a supposed association with human settlements and the tendency to leave typical lesions on skeletal and mummified remains, tuberculosis has been the object of intensive multidisciplinary studies, including paleo-pathological research. During the past 10 years molecular paleo-pathology developed as a new scientific discipline allowing the study of ancient pathogens by direct detection of their DNA. In this work, we reviewed evidences for tuberculosis in ancient human remains, current methods for identifying ancient mycobacterial DNA and explored current theories of Mycobacterium tuberculosis evolution and their implications in the global development of tuberculosis looking into the past and present at the same time. Key words : Tuberculosis - Mycobacterium tuberculosis complex - Mycobacterium tuberculosis - paleopathology - ancient DNA
Comparison of the heating performance of air-source heat pumps using various types of refrigerant injection

The performance degradation of air-source heat pumps cannot be avoided when they operate at both very low and high ambient temperatures. The refrigerant injection technique has rapidly developed in recent years due to its outstanding performance at low ambient temperatures. This study measured the heating performance of air-source heat pumps in which novel vapor injection techniques of a combined flash tank and sub-cooler (FTSC) cycle and a double expansion sub-cooler (DESC) cycle were applied. The performance of these cycles was compared with that of a flash tank (FT) and a sub-cooler (SC) cycle. The average heating capacities of the FT, FTSC, and DESC cycles were higher by 14.4%, 6.0%, and 3.8%, respectively, relative to that of the SC cycle, but the average COPs for the respective cycle options were very similar.
Crosstalk between the Ketogenic Diet and Epilepsy: From the Perspective of Gut Microbiota

Given the association between a range of neurological disorders and changes in the gut microbiota, interest in the gut microbiota has recently increased. In particular, the significant involvement of the autoimmune processes in the development of epilepsy, one of the most serious and widespread neurological diseases, has led to a suggested link with the gut microbiome. Because the constitution of the gut microbiome can be influenced by diet, dietary therapy has been shown to have a positive impact on a wide range of conditions via alteration of the gut microbiota. An example of one such diet is the ketogenic diet (KD), which promotes a diet that contains high levels of fat, adequate levels of protein, and low levels of carbohydrate. Due to the near-total elimination of carbohydrates from the individual’s food in this ultra-high-fat diet, ketone bodies become an important source of energy. Although the ketogenic diet has proven successful in the treatment of refractory epilepsy and other illnesses, the underlying mechanisms of its neuroprotective effects have yet to be fully elucidated. Nevertheless, recent studies strongly indicate a role for the gut microbiota in the effective treatment of epilepsy with the ketogenic diet. The latest advances regarding the links between the ketogenic diet, gut microbiota, and epilepsy are reviewed in this article, with a particular focus on the role of the gut microbiota in the treatment outcome.
Temporal and spatial changes in cell wall composition in developing grains of wheat cv. Hereward

A combination of enzyme mapping, FT-IR microscopy and NMR spectroscopy was used to study temporal and spatial aspects of endosperm cell wall synthesis and deposition in developing grain of bread wheat cv. Hereward. This confirmed previous reports that changes in the proportions of the two major groups of cell wall polysaccharides occur, with beta-glucan accumulating earlier in development than arabinoxylan. Changes in the structure of the arabinoxylan occurred, with decreased proportions of disubstituted xylose residues and increased proportions of monosubstituted xylose residues. These are likely to result, at least in part, from arabinoxylan restructuring catalysed by enzymes such as arabinoxylan arabinofurano hydrolase and lead to changes in cell wall mechanical properties which may be required to withstand stresses during grain maturation and desiccation.
Smart multifunctional gla-nanoformulation for fabry disease

Lysosomal storage disorders (LSD) diseases are a group of rare diseases that currently lack a definitive cure. LSD incidence is about 1:5,000 - 1:10,000, representing a serious global health problem. In the case of Fabry LSD Disease (FD), the deficiency in α-Galactosidase A (GLA) enzyme activity results in the cellular accumulation of neutral glycosphingolipids, leading to widespread vasculopathy with particular detriment to the kidneys, heart and nervous system.  The current treatment for FD is the Enzyme Replacement Therapy (ERT), in which free GLA recombinant protein is administered intravenously to patients. ERT exhibits several drawbacks mainly related to the instability, high immunogenicity and low efficacy of the exogenously administered GLA to cross biological barriers, such as cell membranes and BBB.The aim of Samrt-4-Fabry project is to achieve excellent quality control over the assembly of the different molecular components of a new liposomal nanoformulation of GLA, nano-GLA, for the treatment of Fabry disease. Nanoformulated GLA has already shown to have better PK/PD profile than free GLA and higher efficacy in vivo.  Smart-4-Fabry project will advance nano-GLA from an experimental PoC (TRL3) to preclinical regulatory phase (TRL5-6). A one-step method based on the use of green cCO2, will be used for the manufacturing of this novel nanoformulation under GMPs. The final GLA nanoformulation will have tailored transport of GLA through cell membranes and BBB. Fulfillment of Smart-4-Fabry will impact on a major health problem, the existence of new therapies for rare diseases, which constitutes a priority societal challenge as shown in the H2020 Work Programmes. Another important impact is related to its contribution to support the European Strategy for KETs, which aims to reverse the decline in manufacturing as this will stimulate growth and jobs. Smart-4-Fabry is strongly focusing on three KETs: nanotechnology, industrial biotechnology and advanced materials.
Global-Leading smart manufacturing through digital platforms, cross-cutting features and skilled workforce

The ConnectedFactories II CSA focuses on the following targets and activities: 1) Supporting a common and structured understanding of key enablers and cross-cutting factors with regard to the deployment of digital technologies, including digital platforms, for manufacturing, serving both as generic guidance,  as well as for providing a mapping/analysis framework for use-cases, 2) Identifying pathways to the industrial take-up of digital technologies and digital platforms by taking into account legacy systems, industrial requirements and challenges, 3) Situating inspiring research and industrial state-of-the-art cases on these pathways and show how key enablers and cross-cutting factors are addressed along these pathways, 4) Stimulating the matching of skills transfer offering with skills demand across Europe, 5) Engaging with the research and industrial actors in both European and local fora: manufacturing companies, suppliers, etc., and herewith make sure that requirements and boundary conditions are reflected in the pathways to digitalisation of manufacturing, the use cases, the key enablers and cross-cutting factors, 6) Generating a broad awareness about the key enablers and cross-cutting factors, pathways and inspiring cases. - The objectives of the ConnectedFactories II CSA and the associated activities will build on the results and the methodology of the ongoing ConnectedFactories CSA (concluding in August 2019).
Narration, linguistic expression and discourse structure: explorations of orality in occitan and french

This project is an exploration of the linguistic complexities around the concept of ‘orality’, as attested in different expressions of ‘oral narrative’ in Occitan and French. It will be corpus-based and comparative, looking at a key set of temporal features in narratives collected in a traditional oral setting, in contemporary oral settings and in published ‘literary’ versions of oral narratives. Crucially, the project seeks to revisit the definition of ‘orality’ and to contribute to novel conceptual models. Outputs will take the form of peer-reviewed journal articles, a unique digitised Occitan corpus, digital annotation tools, conference papers and an intersectoral workshop. Given the location of this MSCA in Belfast, and the importance of oral storytelling in Irish cultural heritage, an integral part of the project involves public engagement around cultural practice and minorised languages, and the establishment of links between cultural sectors internationally. The supervisor’s (JC’s) expertise both overlaps with, and complements the experienced researcher’s (MV’s) skills, such that the project will be of mutual benefit at both individual and institutional level. In line with MSCA objectives, the experienced researcher will diversify her research skills (theoretical, analytical and digital), will benefit from excellent linguistic, research and professional training, and will enhance her career profile through international and intersectoral mobility.
Water nanodroplets: Predictions of five model potentials

Putative global minima for five intermolecular potential energy models are reported for water clusters (H2O)n with n ≤ 55. The models studied include three empirical, pairwise-additive potential energy surfaces, TIP4P, TIP4P-Ew, and TIP4P/2005, which use fixed point charges and rigid monomers. The other two, TTM2.1-F and AMOEBA, are polarizable, include non-additive inductive effects, have flexible monomers, and were parametrized, at least partially, using ab initio data. The n = 51 cluster has the same structure and is exceptionally stable for all five potentials. A structured inner core can be seen in cage clusters with n > 37. Periplanar rings, branched rings, and coils are among the structural motifs of the inner core.
Phometapan- meta-materials for green high-performance soundproofing

The PHOMETAPAN project aims at assessing the technical and business feasibility of an innovative sound insulation technology based on meta-materials, called Phononic Meta-panels.
The technology originated from the research activity carried out by the founders at major universities on mechanical and acoustic meta-materials, i.e., materials which are optimally functionalized in their topology to go beyond the actual physical properties of raw materials found in Nature.
The current existing technologies for sound insulation are based on traditional technologies, i.e. the sound isolation performances are heavily dependent on the specific material properties and microstructures, and the products have to be made of high density materials and/or high thicknesses in order to guarantee high sound reduction. The Meta-panels instead relies on the physics of phononic crystals or periodic mechanical structures, a growing topic in the research community, whose performances are only dependent on the topology of the fundamental unit cell. Thus, they guarantee higher performances and, since they are independent on the employed raw material, recycled material can be used, introducing a real revolution in the sector.
The project aims at studying the technical, commercial and business feasibility of the Meta-Panels, within the industrial sector, i.e. panels to guarantee high sound insulation performances entirely made of recycled plastics in plants and in noise generated by machineries, and sound insulation products for buildings and construction sector.
The project is carried out by the team of Phononic Vibes, whose main founders are experts in meta-materials (PhDs and Professors in relevant fields) and key senior business strategic partners. This project will help Europe to become leader in the application of a cutting-edge technology, the meta-materials, which are revolutionizing the way of controlling sound and vibrations in a wide range of different sectors and markets.
Market basket analysis in insurance industry

Article history: Received October 28, 2014 Received in revised format 2 February 2015 Accepted 4 February 2015 Available online February 4 2015 Nowadays, many organizations focus on discovering their customers’ hidden patterns to maintain their competitive position through customer analysis. In fact, more and more organizations are realizing that customers are their most valuable resources. This paper performs a research using data associated with 300 clients of an insurance company in city of Anzali, Iran and they are analyzed using K-Means clustering method. Using demographic variables including gender, age, occupation, education level, marital status, place of residence and clients’ incomes, the study determines the optimal numbers of clusters in order to achieve necessary data for grouping customers. Next, the study uses the method of association rules to find hidden patterns for the insurance industry. Growing Science Ltd. All rights reserved. 5 © 201
Process for the preparation of a fiber, a fiber and a yarn made from such a fiber

A fiber comprising polyethylene-2,5-furan-dicarboxylate, is prepared by melt spinning in a process wherein a molten composition comprising polyethylene-2,5-furan-dicarboxylate having an intrinsic viscosity of at least 0.55 dl/g, determined in dichloroacetic acid at 25° C., is passed through one or more spinning openings to yield molten threads; wherein the molten threads are cooled to below the melting temperature of the composition to yield spun fibers; and wherein the spun fibers are drawn to a linear density in the range of 0.05 to 2.0 tex per fiber. The invention also proves a fiber comprising polyethylene-2,5-furan-dicarboxylate having a linear density of 0.05 to 2.0 tex, wherein the polyethylene-2,5-furan-dicarboxylate has an intrinsic viscosity of at least 0.45 dl/g, determined in dichloroacetic acid at 25° C.
Quantum cache

A quantum cache includes a quantum store having an input that receives a quantum state having fundamental quantum properties comprising coherence and is configured to store the quantum state and to preserve a coherence property of stored quantum states to a fidelity level. A fidelity system is coupled to the quantum store and configured to identify if the quantum state that has a coherence property that is not at the fidelity level using monitoring that preserves a coherence property of quantum states to the fidelity level. The fidelity system is further configure to generate classical data about the quantum state if the coherence property is not at the fidelity level, wherein the generated classical data comprises an index associated with the quantum state. Classical data is generated about the quantum state and is transmitted over a classical channel, thereby informing an application that the quantum state having the associated index has the coherence property that is not at the fidelity level.
COAL HEAT-TREATMENT PROCESS AND SYSTEM

Methods and systems for producing activated carbon from a particulate coal feedstock that include the introduction of an activation medium such that the water content of the coal feedstock is equal to or greater than that of the feedstock's naturally occurring state. Different methods and system configurations allow the production of activated carbon or other heat-treated carbons while concurrently avoiding adverse reaction conditions.
Energy real-time metering and distributed dispacth for load - production synchronization

Concept
The Electric Systems in most European countries suffered major changes in the last decade due to the fast penetration of new technologies such as Distributed Production, Demand Management and Data Processing. The rhythm of change has been so high that created negative feedback effects that can compromise the capture of the created value. 

The objective of the eBrain innovation is to introduce in the market a new platform to empower consumers and distributed producers by a series of innovative services and energy contracts. These new services tackle the mentioned Electric System problems and create value both to consumers and producers but also system operators.

Products
In order to reach our goals a series of innovative technologies were developed by eVISO since 2012 and integrated in a single platform called eBrain that supports the offer of the following services:
- Real-time Production Forecast 
- Real-time Market Bidding
- Power Alerts and Energy Efficiency Reporting
- Auto-Consumption Management
- Demand-side Management & Response
All these services are included in Energy Contracts bundled into eVISO’s energy retailer offer.

Clients
1. Distributed Renewables
2. Consumer Looking for Empowerment (SMEs)

Feasibility
Since the bases of the technology have already been developed and preliminary client-tests have been made, the project is at the stage of pre-launch to the market. In the feasibility stage we will focus on:
1. Commercial plan
2. Technologic feasibility 
3. IP protection
4. Risk Assessment
The combined output of the above studies is  aBusiness Plan, which is the derivable of the stage. The timeframe for the feasibility stage is 6 months.

European Dimension
The case study in Italy is similar in most European Markets where distributed production and empowerment of consumers is creating stress and opportunities. Moreover, the European Energy Market ensures the technology compatibility of our tools and a simplified transition.
The reading brain as a statistical learning machine

Despite written language is not part of our genetic endowment, literate adults process an impressive amount of information as they read, and do that extremely flawlessly and nearly error-free. How this happens is largely unknown, and represents a fundamental issue for theories of human learning. Building on data from nonhuman primates, human infants and psycholinguistic experiments on word internal structure, STATLEARN tests the hypothesis that one fundamental cognitive mechanism underlies visual word identification, i.e., statistical learning. Human infants learn to chunk smaller perceptual units (e.g., oriented lines) into larger, meaningful objects (e.g., tools, faces), taking advantage of recurrent patterns in their distribution. As developing readers, they would apply this very same mechanisms to a newly–encountered type of visual objects, i.e., letters. On this basis, they would build progressively higher–order orthographic units, which eventually make their visual word identification as adult readers astonishingly efficient.
The project is composed of four work packages. One aims at identifying which principle(s) drive(s) statistical learning, and contrasts overall frequency, contextual diversity, and letter transitional probabilities. Because these factors co-vary in real languages, a second work package will involve adult readers in learning artificial languages, where we will build in any statistical properties we might need to test. A third package will seek signs of statistical learning directly into the performance of developing readers. A fourth package will assess positional constraints in the identification of morphemes (e.g., kind and ness in kindness). These work packages include behavioural, eye tracking, ERP, MEG and fMRI work. Bringing together evidence from such a wide array of approaches will allow to understand how statistical learning unfolds, and what kind of representations it brings into the human reading system.