SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Revolutionary laser machine for industrial engraving & 3d texturing

The physical appearance of metal and plastic products is increasingly becoming a key contributor to quality perception and functional performances. Apart from aesthetics, an overall smooth edge and surface finish continuity can have a significant effect on performance, functionalities and service life of critical plastic and metal products, giving them a higher market value. Industries are thus pushing suppliers and mould/die makers for technologies with higher performance in surface texturing and engraving. In this context, traditional technologies – e.g. chemical etching and current laser texturing – are however hindered by severe limitations, most of all their lack of flexibility and repeatability, high installation and running costs.
 
Addressing this big challenge, ML Engraving, expert in laser engraving and texturing, presents INFINITE 2.0, a reliable solution for surface processing for distinct functional and aesthetic properties. Aimed at the manufacturing and consumer product sectors, INFINITE 2.0 uses a combination of software and hardware innovations to drastically improve speed, accuracy & ability to reproduce fine details on complex 3D geometries, offering a new generation of laser machines for moulds, dies and components. Our innovative machine surpasses existing technologies through the provision of high precision, industrial productivity rate (process time reduced by 40-50%) and flexibility at market price (15-50% cheaper), allowing end users to achieve complex design and functional performance. 

Users from a wide range of industries can directly take advantage of the benefits of INFINITE 2.0 to extend their market and enhance their business exploits. With INFINITE 2.0, we expect to boost our company growth, generating within a 5-year period a cumulative revenue and profit of €74.4M and €30.5M respectively, and creating 40 additional jobs in our company.
Accessing electron-phonon interactions of two-dimensional metal organic frameworks by ultrabroadband terahertz spectroscopy based on the spintronic trilayer emitter

The recent discovery of high-mobility band-like charge transport in two-dimensional semiconducting Metal Organic Frameworks (2D-MOFs), represents a breakthrough that paves the way for developing novel highly tailorable optoelectronic devices. However, for harvesting the benefits of these materials, it is still required a deeper understanding on the interplay between MOF structure and chemical composition with electronic structure, conductivity, doping and charge carrier mobility. Among the current methods used to characterize charge transport in MOFs, Time-Resolved Terahertz (THz) Spectroscopy (TRTS) stands out, owing to the fact that it is a non-contact technique, with sub-ps resolution, and capable of disentangling the conductivity, doping and mobility of a given sample in the AC limit. Despite powerful, current TRTS setups do have a limitation connected with a small frequency bandwidth of state-of-the-art THz probes (typically limited to 0.2-2 THz). In this project, I will introduce a novel THz Spintronic Trilayer Emitter (STE), holding a bandwidth that is ~15 times broader than that of traditional THz sources, for investigating charge transport in the recently discovered semiconducting MOFs. The STE ultrabroadband frequency window, linked to an ultrashort pulse time duration, will allow for the first time characterizing phonons and their interplay with free carriers (which limit sample´s mobility) as a function of sample chemistry and structure. This powerful approach will ultimately lead to unequivocally establishing connections between structure and charge transport properties in these promising and technologically relevant materials.
Extracting funding statements from full text research articles in the life sciences

In support of the ERC open access strategy, it is critical for the ERC to identify published scientific articles that have been based on its funding schemes, in order to assess the impact of the research supported. Currently, the relationship between funding source and article is made only sporadically, years later in end-of-grant reports, or lost altogether, as there is no structured method for recording these associations. 

Ideally, the funding source should be identified as part of journal manuscript submission processes, however, this idea is currently in its very early stages and will not address the backlog of articles already published. Therefore, we propose to use text-mining methods to identify funding statements in full text articles available in Europe PubMed Central as an accurate and cost-effective solution to linking articles to funding sources. We will assess the outcomes through standard text-mining quality-assessment methods as well as through consultation with ERCEA staff. Anticipating useful outcomes, we will use the methods developed to identify ERC-funded articles in Europe PubMed Central on a routine basis, and make those results available in the search and article browse features on the Europe PubMed Central website. Finally, we will explore the feasibility of extending the approach to other Europe PubMed Central funders.
Research and innovation agenda with and for society: leveraging digital innovation for a greener and healthier europe

ENLIGHT is a European university Network to promote equitable quality of Life, sustainability and global engagement through Higher education Transformation. It brings together 9 comprehensive, research-intensive, new flagship universities with a strong reputation. ENLIGHT strives to transform the way in which we address global societal challenges by developing new models and methodologies for education and research adapted to the complex sustainability issues facing cities and communities today.; ENLIGHT focuses on five flagship challenges: Health & Well-being, Climate change, Energy & Circular Economy, Digital Revolution and Equity. With ENLIGHT RISE (Research and Innovation agenda with and for SociEty) we will support ENLIGHT in its R&I dimension, to deploy a comprehensive joint transformation agenda, in synergy with the educational component, in partnership with surrounding ecosystems, and with the overarching goal of serving our societal missions. The objective is to become more competitive and innovative together, leveraging and synergizing our respective strengths and capitalizing on our innovation potential and partnerships with our surrounding ecosystems to jointly promote a greener, healthier, more equitable and sustainable Europe.  To reach these goals, ENLIGHT RISE will 1- establish a longer term business model for joint R&I actions, 2- identify strong research synergies with high innovation potential 3- enable the sharing of and optimize capacity or  digital research infrastructures, while benchmarking and optimizing the societal impact of digital innovation/artificial intelligence, 4- reinforce cooperation and co-creation with the business sector and civil-society, 5- mainstream and incentivize open science practices and public engagement, 6- improve the attractiveness of researchers’ careers, and 7- develop and formalize methods towards an impact-driven R&I agenda.
Cross-cultural investigation into cognitive underpinnings of individual differences in early arithmetic

The present study evaluated 626 5-7-year-old children in the UK, China, Russia, and Kyrgyzstan on a cognitive test battery measuring: (1) general skills; (2) non-symbolic number sense; (3) symbolic number understanding; (4) simple arithmetic - operating with numbers; and (5) familiarity with numbers. Although most inter-population differences were small, 13% of the variance in arithmetic skills could be explained by the sample, replicating the pattern, previously found with older children in PISA. Furthermore, the same cognitive skills were related to early arithmetic in these diverse populations. Only understanding of symbolic number explained variation in mathematical performance in all samples. We discuss the results in terms of potential influences of socio-demographic, linguistic and genetic factors on individual differences in mathematics.
Collective wisdom driving public health policies

Today’s rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. CrowdHEALTH will introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs will be transformed into Social HHRs communities capturing the clinical, social and human context of the population segmentation and as a result the collective knowledge for different factors depending on the communities formulation criteria (e.g. demographics, diseases, lifestyle choices, nutrition, etc). CrowdHEALTH will deliver a secure integrated ICT platform that seamlessly integrates big data technologies across the complete data path, providing of Data as a Service (DaaS) to the health ecosystem stakeholders. CrowdHEALTH will develop policy modeling techniques to facilitate the inclusion of Key Performance Indicators (KPIs) in policies and the correlation of these KPIs both with all health determinants captured in HHRs and with information from other domains towards a “health in all policies” approach. Creation and co-creation (cross-domain) of policies will be feasible through a rich toolkit, which will be provided on top of the DaaS, incorporating mechanisms for causal and risk analysis, as well as for compilation of predictions. Through the toolkit, multi-modal targeted policies addressing various time scales (long- / short- term), locations (area, regional, national, international), populations, and evolving risks will be realized. CrowdHEALTH will facilitate policies evaluation (on complete policy and per-KPI levels) and optimization through adaptive and incremental visualizations of simulations and outcomes of evidence based analysis of prevention strategies. CrowdHEALTH will collect data and will be validated through 5 pilots addressing different environments (care centers, social networks, public environments, living labs, diseases monitoring).
DLNA DATA DISTRIBUTION FROM A REMOTE SOURCE

Information distribution relates to a DLNA device (30) involves receiving, at a request server (100) in a global network (20), a media request for a media content having a specific media format from the DLNA device (30) present in a home network (10). The request server (100) processes the media request based on user and media identifiers provided therein and provides a response. This response enables rendering by a DLNA compatible digital media player (200, 400) of response information relating to the media request and being of the specific media format. A user of the DLNA device (30) can therefore be informed of the processing of his media request.
Multimodal highly-sensitive photonics endoscope for improved in-vivo colon cancer diagnosis and clinical decision support

Colorectal cancer represents around one tenth of all cancers worldwide. Early and accurate diagnosis and precise intervention can increase cure rate up to 90%. Improved diagnostic techniques with enough sensitivity and specificity are required to allow in situ assessment, safe characterization and resection of lesions during clinical practice interventions.
The multidisciplinary PICCOLO team proposes a new compact, hybrid and multimodal photonics endoscope based on Optical Coherence Tomography (OCT) and Multi-Photon Tomography (MPT) combined with novel red-flag fluorescence technology for in vivo diagnosis and clinical decision support. By combining the outstanding structural information from OCT with the precise functional information from MPT, this innovative endoscope will provide gastroenterologists immediate and detailed in situ identification of colorectal neoplastic lesions and facilitate accurate and reliable in vivo diagnostics, with additional, grading capabilities for colon cancer as well as in-situ lesion infiltration and margin assessment. With the development of compact instrumentation, the cost of the components and thus the system will be significantly reduced. Human representative animal models will be used to generate imaging biomarkers that allow automated detection, assessment and grading of disease. The developed system will be tested in operating room conditions.

The consortium comprises the whole value chain including pre-clinical and clinical partners, technology providers, photonics SMEs and endoscopy market leader company. The project will permit these companies to enhance their competitiveness and leadership in the diagnostics sector as well as exploiting new market opportunities. The new endoscope will significantly impact clinical practice allowing in vivo optical biopsy assessment via the automatic analysis of images allowing accurate and efficient characterisation of colorectal lesions.
Hydropower solutions for developing and emerging countries

The renowned European hydropower industry and its know-how can foster the transition into a more sustainable energy
system in parts of the world that still need support to develop the sector. While the European hydropower market does not
allow huge developments, some countries present a big potential. HYPOSO will provide strategic support and tools for the
European hydropower industry to boost their export of products and services to markets in Africa and Latin America,
especially those with a high market potential hydro sector, i.e. Bolivia, Cameroon, Columbia, Ecuador and Uganda. The project will
develop solutions which can be easily implemented for overcoming barriers to the broad deployment of hydropower solutions
in these export markets. The consortium will bring representatives of the European hydropower industry together with their
counterparts and politicians from Africa and Latin America. It will provide political, legal, technical and strategic advice while
considering the regional specificities, socio-economic, spatial and environmental aspects all along the life-cycle of
hydropower projects. Experts of the consortium will identify pilot hydropower projects and provide capacity building for local
stakeholders and politicians. Communications activities such as brochures, events, and workshops highlighting European
state-of-the-art technology will complement these measures. Moreover, a website will be created. It will serve as an
information hub for the European hydropower industry and useful source of information for hydropower stakeholders
worldwide. The outcome of the HYPOSO project will contribute to the promotion of the European hydropower industry,
paving the way for better investment conditions in the targeted countries and increasing the share of renewable energy in
these regions. It will support the development of policies, market supports and financial frameworks at the local, national and
regional level for hydropower facilities.
Pragmatic issues in calculating and comparing the quantity and quality of research through rating and ranking of researchers based on peer reviews and bibliometric indicators from Web of Science, Scopus and Google Scholar

Purpose – The purpose of this paper is to analyse the findings of two recently published papers (Norris and Oppenheim, 2003; and Li et al., 2010).Design/methodology/approach – The findings were analysed from the practitioner's perspective about the procedures involved in calculating the indicator values and the ranks and ratings. This was done with the purpose of playing the devil's advocate, contemplating the reservations and arguments of those who do not want to use metrics based on database searches.Findings – One advantage of this project is that its results can be compared at least partially with the findings of the three earlier RAEs (although its grade classes have changed), as well as with some of the other ranking lists in library and information management areas.Originality/value – Very importantly, the authors concluded that “it would be premature in the extreme to suggest that citation‐based indicators could be used as a cost‐effective alternative to expert judgments”. This is a strong, very r...
Mesoscopic models for propagation in biology

According to biologists, there is a need for quantitative models that are able to cope with the complexity of problems arising in the field of life sciences. Here, complexity refers to the interplay between various scales that are not clearly separate. The great challenge of the MESOPROBIO project is to analyse complex PDE models for biological propagation phenomena at the mesoscale. By analogy with the kinetic theory of gases, this is an intermediate level of description between the microscale (individual-based models) and the macroscale (parabolic reaction-transport-diffusion equations). The specific feature common to all the models involved in the project is the local heterogeneity with respect to a structure variable (velocity, phenotypical trait, age) which requires new mathematical methods. I propose to push analysis beyond classical upscaling arguments and to track the local heterogeneity all along the analysis.

The biological applications are: concentration waves of bacteria, evolutionary aspects of structured populations (with respect to dispersal ability or life-history traits), and anomalous diffusion. The mathematical challenges are: multiscale analysis of PDE having different properties in different directions of the phase space, including nonlocal terms (scattering, competition), and possibly lacking basic features of reaction-diffusion equations such as the maximum principle. The outcomes are: travelling waves, accelerating fronts, approximation of geometric optics, nonlocal Hamilton-Jacobi equations, optimal foraging strategies and evolutionary dynamics of phenotypical traits. Emphasis will be placed on quantitative results with strong feedback towards biology.

The project will be conducted in Lyon, a French hub for mathematical biology and hyperbolic equations. There will be close interaction with biologists in order to establish the most appropriate questions to answer. Several collaborations in Europe (UK, Austria) will be developed.
European heliospheric forecasting information asset 2.0

This project aims at developing the world’s most advanced space weather forecasting tool. EUHFORIA 2.0 will address geoeffectiveness, impacts and mitigation, including extreme events, related to solar eruptions, solar wind streams and Solar Energetic Particles, with particular emphasis on its application to forecast Geomagnetically Induced Currents (GICs) and radiation on geospace. We will apply innovative methods and state-of-the-art numerical techniques to extend the recent heliospheric solar wind and CME propagation model EUHFORIA with two integrated key facilities that are crucial for improving its predictive power and reliability, namely 1) data-driven flux-rope CME models, and 2) physics-based, self-consistent SEP models for the acceleration and transport of particles along the magnetic field lines. This involves novel coupling of advanced space weather models. In addition, after validating the upgraded EUHFORIA/SEP model it will be coupled to existing models for geomagnetically induced currents (GICs) and atmospheric radiation transport models. This will result in a reliable prediction tool for radiation hazards from SEP events, affecting astronauts and passengers and crew in high-flying aircraft, as well as the impact of space weather events on power grid infrastructure and telecommunication and navigation satellites. Finally, this innovative tool will be integrated in the both in the Virtual Space Weather Modeling Centre (ESA) and the space weather forecasting procedures at the ESA SSCC in Uccle, so that it will be available to the space weather community and effectively used for improved predictions and forecasts of the evolution of CME magnetic structures and their impact on Earth.

The project provides a unique opportunity for Europe to take a leading role in space weather forecasting and to protect its modern technologies and infrastructures both in space and on ground.
MORONI NICOLA DI MORONI SILVANO

MORONI WAS ORIGINALLY BORN IN LA SPEZIA IN THE 1920S FOR THE CONSTRUCTION OF BOATS AND WOODWORKING, AND IS REFORMULATED AT PRESENT IN THE 50S; SINCE THEN IT HAS MAINTAINED THE SAME GOAL, CAULKING AND CARPENTRY, COMBINING CRAFTSMANSHIP WITH TECHNOLOGICAL INNOVATIONS. AT THE MOMENT THE COMPANY CAN BE SAID TO CONSIST OF TWO SECTORS, THE ADMINISTRATIVE PART OF WHICH THE OWNER IS PART, THE MANAGER AND THE ENGINEER, AND THE MANUFACTURING PART, WHICH RANGES FROM MASTERS OF AXE TO PAINTERS AND CARPENTERS.
Spatial aspects of the Information Society

The development of Information and Communication Technologies (ICTs) and the liberalisation of the telecom sector have given a growing number of people the possibility to access to all type of information and also have contributed to promote the communication among citizens, businesses and public administrations, removing the constraints of time, place and distance, making the world a "global village". Therefore, this technological development is a key for the development of a knowledge based economy in which the information can be transmitted and be accessible by all within a "global network" - The Information Society.

The general objective of this project is to characterize the information society from a territorial perspective and analyse its territorial aspects at macro, meso and micro level.

The project is envisaged to consider both decentralised and centralised territorial effects of the information society at short-term and mid-term/long-term perspective and relate it with the goals and policy options defined in the ESDP. It will also cover rural and peripheral areas of the European Union, where the information society could be an important step towards their development, as well as the role of the information society in the development of urban-rural functional relations.

The underlying objective is to assess the possible contribution of the information society to balanced spatial development, territorial cohesion and polycentricity.
Multifunctional Plasmonic Shell–Magnetic Core Nanoparticles for Targeted Diagnostics, Isolation, and Photothermal Destruction of Tumor Cells

Cancer is the greatest challenge in human healthcare today. Cancer causes 7.6 million deaths and economic losses of around 1 trillion dollars every year. Early diagnosis and effective treatment of cancer are crucial for saving lives. Driven by these needs, we report the development of a multifunctional plasmonic shell-magnetic core nanotechnology-driven approach for the targeted diagnosis, isolation, and photothermal destruction of cancer cells. Experimental data show that aptamer-conjugated plasmonic/magnetic nanoparticles can be used for targeted imaging and magnetic separation of a particular kind of cell from a mixture of different cancer cells. A targeted photothermal experiment using 670 nm light at 2.5 W/cm(2) for 10 min resulted selective irreparable cellular damage to most of the cancer cells. We also showed that the aptamer-conjugated magnetic/plasmonic nanoparticle-based photothermal destruction of cancer cells is highly selective. We discuss the possible mechanism and operating principle for the targeted imaging, separation, and photothermal destruction using magnetic/plasmonic nanotechnology.