SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Dna-Authenticity & traceability for extra virgin olive oil: τrust the dna, the label.

Globalization and internationalization of Olive oil industry increased supply chain complexity that led to a fragmented visibility of the involved actors, enabling fraudulent practices for illegitimate profit. In this context, particularly extra virgin olive oil (EVOO), due to its high price coupled with its health benefits and its increasing demand in cosmetic/pharmaceutical sectors became an ideal target for frauds. EVOO traceability is considered a central issue for the identification of improper actions along the olive oil supply chain, to protect its quality and consumers’ health. 

The aim of AUTHEVOO is to disrupt the EVOO supply chain by providing an end-to-end DNA-based system offering transparency and trust among its actors. To achieve this AUTHEVOO integrates EVOO DNA authenticity and DNA traceability in a real-time portable PCR device capable to identify the varieties in EVOO and its origin. Our current forecasts and analysis show that AUTHEVOO has the ability to generate revenues of ~10M€, with a ROI of 36.30, and to create at least 31 high-educated new jobs by 2023, revealing a high business potential. 

This project aims to perform a 6-month feasibility study following the TELOS concept (technical, economic, legal, operations and schedule), in order to extensively validate the AUTHEVOO Minimum Viable Product (MVP) and business plan, leading to the creation of a viable commercial strategy that will enable the full exploitation of its market potential.
Engineering the dynamics of magnetic skyrmions using non-equilibrium protocols

The increasing need for new magnetic storage applications has brought to the fore new topologically stable particle-like spin configurations known as magnetic skyrmions, which appear as attractive candidates for future spintronic devices. For the efficient controllable manipulation of magnetic skyrmions, it is important to understand their dynamics, their response to external driving fields as well as their dissipation effects. Damping emerges from the coupling of the skyrmion to the environment degrees of freedom, such as electrons, magnons, or phonons, while its amplitude and form is prescribed by the microscopic details of the system. Thus, in an actual experimental setup, tuning in situ the rate at which the skyrmion dissipates is challenging. Q-Skyrmions takes up this challenge and aims to design optimal ways to manipulate skyrmion's dynamics under certain driven non-equilibrium conditions. The environment is dynamically engineered out-of-equilibrium by efficient external protocols, such as time-periodic fields, ultra-short laser pulses and thermal gradients. The interaction of the skyrmion with the reservoir degrees of freedom, gives rise to dissipation and thermal random forces that incorporate the environment’s dynamical activity and will result in a tunable dissipation. By merging concepts from the general area of quantum driven dissipative systems and exploring several features of out-of-equilibrium dynamics, the action investigates how the propagation of topological particles can be dynamically controlled by experimentally relevant protocols. In addition, the action Q-Skyrmions investigates quantum effects for atomic-scale skyrmions in magnetic insulators, ideal candidates to exhibit quantum mechanical behavior at a mesoscopic scale. We study the effect of dissipation and noise on the quantum tunneling events for a skyrmion embedded in a thermal environment, driven by time-dependent external fields under nonequilibrium conditions.
Next-Generation flow diagnostics for control

Fast-paced advancements of hardware and machine-learning algorithms have triggered successful applications of active flow control, even though mainly limited to laboratory-scale applications. One of the main limits resides in the lesson we are able to learn today from experiments. We can successfully train actuators with probes in a controlled environment to reach a certain goal, e.g. aerodynamic drag minimization or noise reduction; on the other hand, an experimental technique that provides a full description of the flow is not available, thus generalization of the actuation effects to real applications is often prohibitive.
The objective of NEXTFLOW is to conceive the next-generation flow-diagnostics aimed to flow control by leveraging the principles of completeness and compactness of the measurements. Completeness implies aiming to pursue a complete flow description, i.e. a time-resolved 3D characterization of velocity and thermodynamic variables. This will be achieved through a technique-integration approach based on data-driven methods. This grounds its basis on the principle that the superposed application of techniques is superior to their separate use. Compactness is pursued by exploring solutions with minimum technological complexity, and on developing new data output formats that are directly aimed at flow control applications. Key enablers for this task are (i) the novel concepts I recently proposed on data-driven techniques integration, (ii) the deep embedding of compressed-sensing methods in the data processing and (iii) the data-driven discovery of simplified governing equations of the dynamics. 
The next-generation flow diagnostics concept will deeply change experimental fluid mechanics and flow control, allowing bridging the gap between the laboratory experiment to the real application, with tremendous potential impact on numerous industrial applications.
POLYPEPTIDES FOR THE PREVENTION OR TREATMENT OF MALARIA

The present invention relates to the protection against malaria and to polypeptides suitable in this respect. More particularly, the invention relates to polypeptides, especially chimeric ones, which are suitable for the prevention or treatment of malaria. Said polypeptides are derived from particular motifs of the C-terminal region of Plasmodium proteins choosen among MSP3-1, MSP3-2, MSP3-3, MSP3- 4, MSP3-7 and/or MSP3-8. The invention also pertains to immunogenic compositions and vaccines against malaria, comprising as an immunogen a polypeptide of the invention, to a polynucleotide coding for a polypeptide of the invention as well as a cloning and/or expression vector comprising said polynucleotide, and their use in a medicament or a nucleic acid vaccine against Plasmodium.
THE WILLINGNESS OF A CUSTOMER TO CO-CREATE INNOVATIVE, TECHNOLOGY-BASED SERVICES: CONCEPTUALISATION AND MEASUREMENT

Customer co-creation is a phenomenon, whose relevance for innovative technology-based services (TBS) has been acknowledged both by scientific and management practice. However, empirical research on this topic is scarce. Above all others, the lack of a good metric for this construct to establish a common ground for empirical research has hampered progress to date. Thus, the purpose of this paper is to develop and test a construct measuring the willingness of a customer to engage in co-creation (hereafer, WCC) of innovative, TBS. This article provides a thorough literature review on customer co-creation, proposes a scale to measure the willingness to co-create (WCC) innovative, TBS and reports the results of a validation process using expert judges, an exploratory and confirmatory factor analysis. The results of our studies show that the scale has good psychometric properties and that its relationships with other constructs and consumer adoption behaviour conform to theoretical expectations.
PEPTIDE-COATED FIBERS

The present invention generally relates to peptide-coated fibers, processes of fabricating said fibers, and articles incorporating said fibers. The fibers comprise a coating-receptive fiber and a peptide coating, of 10 micrometers or less and comprises a molecularly self-assembling material, and the peptide coating comprises at least one self-assembled peptide polymer.
Rotational tilt-armature

The invention concerns a rotational tilt-armature for a window, a door or the like comprising a transmission (32), groove bands and locks (74, 92). The rotational tilt armature has a rotational armature (22) and a tilt armature (24) and the transmission is formed of two parts and comprises a drive (18) for the rotational armature (22) and a drive (20) for the tilt armature (24). The rotational armature (22) and the tilt armature (24) can be driven one after the other.
Enabling maritime digitalization by extreme-scale analytics, ai and digital twins

Shipping is the lifeblood of global economy, consequently one of the leading sources of greenhouse gases and one of the high-incident domains, due to heavy traffic especially in congested waters, therefore facing escalating pressure for safety, energy efficiency improvement and emissions reduction. Meanwhile, shipping generates extremely large amount of data in every minute, which potential, however, still remains untapped due to the involvement of enormous stakeholders and the sophistication of modern vessel design and operation. To address these challenges, VesselAI aims to develop, validate and demonstrate a unique framework to unlock the potential of extreme-scale data and advanced HPC, AI and Digital Twin technologies, and hence to promote the adoption and application of Big Data-driven innovations and solutions in maritime industry and beyond. By combining Digital Twin technologies and practices, VesselAI can efficiently fuse and assimilate huge amount of data, coming from both observations and simulations, to achieve highly accurate modelling, estimation and optimization of design and operation of ships and fleets under various dynamic conditions in near real time. Their technical enhancements and practical performance improvements  are further demonstrated in 4 maritime industry pilots, tackling practical challenges for 1) global vessel traffic monitoring and management, 2) globally optimal ship energy system design, 3) short-sea autonomous shipping and 4) global fleet intelligence. VesselAI brings in a consortium of renowned actors in maritime and ICT domains, providing a perfect mix of high-level expertise in both domains and readily accessibility to huge amount of data for industry-leading research and innovation in the project. Together, VesselAI addresses the challenges of implementing extreme-scale analytics in industries and showcase how AI, cloud computing and HPC can encourage, and enable deeper digitalization in the maritime and wider industries.
Urban metabolism accounts for building waste management innovative networks and strategies

The scope of the project is to develop and test methods for designing and implementing innovative and sustainable Strategic Plans for Waste Prevention and Management in various urban contexts that will enhance urban environmental resilience and  guarantee progress towards more sustainable production and consumption patterns together with improvements waste recovery and recovered materials use.  Urban_Wins will define a data set, based on material flow indicators, capable of supporting and orienting decision making processes for urban waste prevention and management.  Knowledge of the factors that influence the metabolism of cities will be improved together with the understanding of how those factors can be transformed in positive drivers of technological, non-technological and governance changes.   The information set produced by the consortium will also focus on how a more efficient use of resources and a better management of waste can improve urban quality and citizens’ welfare, key points for urban stakeholders involvement, both in the planning and implementation of actions.   The proposal reunites diverse actors such as cities, research institutes and universities, environmental NGOs, IT&C, technological innovation and waste management companies, professional associations that represent EU regions, sectors and levels of governance. The complex partnership guarantees that advancement in EU research in the field of urban metabolism and waste management strategies is directly linked to stakeholder engagement and mutual learning and contributes to the achievement of resource efficiency and waste management objectives.  Urban_Wins analytical tools will be built on the base of datasets and experiences of 24 EU cities from 6 European countries and the Strategic Plans will be tested by 8 EU cities and will encompass regulatory measures, educational initiatives and sector specific actions.
An investigation of facial emotion recognition impairments in alexithymia and its neural correlates

Alexithymia is a personality trait that involves difficulties identifying emotions and describing feelings. It is hypothesized that this includes facial emotion recognition but limited knowledge exists about possible neural correlates of this assumed deficit. We hence tested thirty-seven healthy subjects with either a relatively high or low degree of alexithymia (HDA versus LDA), who performed in a reliable and standardized test of facial emotion recognition (FEEL, Facially Expressed Emotion Labeling) in the functional MRI. LDA subjects had significantly better emotion recognition scores and showed relatively more activity in several brain areas associated with alexithymia and emotional awareness (anterior cingulate cortex), and the extended system of facial perception concerned with aspects of social communication and emotion (amygdala, insula, striatum). Additionally, LDA subjects had more activity in the visual area of social perception (posterior part of the superior temporal sulcus) and the inferior frontal cortex. HDA subjects, on the other hand, exhibited greater activity in the superior parietal lobule. With differences in behaviour and brain responses between two groups of otherwise healthy subjects, our results indirectly support recent conceptualizations and epidemiological data, that alexithymia is a dimensional personality trait apparent in clinically healthy subjects rather than a categorical diagnosis only applicable to clinical populations.
ENDLESS LOOP FINISHING ASSEMBLY

A finishing assembly (20) includes an outside treatment roll (36) for treating an endless web (42). The outside treatment roll (36) is movable and adapted to contact the web (42) within an opening (40) defined between a pair of cantilever beams (24, 26) such that the "minimum loop length" of the web (42) is preserved. The finishing assembly (20) further includes a movable non-contacting treatment assembly (60) which is adapted to be arranged between the cantilever beams (24, 26) and may be used with or without the outside treatment roll (36) to facilitate different finishing processes. In addition, the finishing assembly (20) may include a pivotable cantilever beam (402) in place of one of the cantilever beams (24, 26). The pivotable cantilever beam (402) may be rotated out of the finishing assembly (20), further minimizing the "minimum loop length" of the endless web (42).
Seismology of the moon

As part of the Apollo lunar missions, four seismometers were deployed on the near-side of the Moon between 1969 and 1972, and operated continuously until 1977. There are many difficulties associated with determining lunar structure from these records. As a result, many properties of the moon, such as the thickness, density and porosity of the crust are poorly constrained. This hampers our ability to determine the structure, geochemical composition of the moon, its evolution, and ultimately the evolution of the solar system. This proposal uses modern seismic processing techniques to overcome these limitations. Using ambient noise tomography, it will provide a new, more accurate, model of the lunar crust and mantle. I will apply recent advances in the full waveform modelling of scattering at planetary scale by the host institution to the strongly scattering lunar crust. We will explore entirely new routes for planetary seismology by investigating single-station inverse problems building on recent work in rotational seismology pioneered at the host institution. The project is designed to develop a profile for myself as  a planetary seismologist, and to position myself and the host institution to work on the Mars InSight mission in the future. InSight is a NASA Discovery mission, scheduled to land in September 2016, which will deploy a single  seismometer on the surface of Mars. We combine the expertise of the researcher in surface wave analysis and tomographic modelling; the facilities and expertise of Ludwig Maximilian University (LMU) in ambient noise studies, full waveform modelling, modelling of seismic scatter and rotational seismology; and an interdisciplinary team of researchers with experience of the techniques and with diverse interests in geochemistry, geodynamics and planetary evolution.
Pilot eye gaze and gesture tracking for avionics systems using unobtrusive solutions

As the capabilities of cockpit systems increase, the way in which the pilots interact with them evolves. At the same time, flight management concepts and tools continue to increase in complexity, as well as flight and non-flight data streams, which consequently challenges the pilots’ abilities to cope with the information they need to be aware of, and exerts pressure on their cognitive states.

In in framework of the development of new Human System Interfaces carried out in WP1.2.4 the Clean Sky 2 SYSTEMS ITD, the PEGGASUS project proposes an approach to bring innovative smart vision systems to cockpits. The system we propose to develop is a crew interface and monitoring system implementing eye gaze, face, and gesture tracking technologies to bring new functionalities to Human-Machine Interfaces in the cockpit. It consists in a set of NIR-sensitive cameras powered by Computer Vision and Machine Learning algorithms running on a central processing unit. Three prototypes will be developed from a standalone lab prototype, to a TRL5 model integrated in the topic leader’s “cockpit demonstrator”. The system design shall be compliant with aircraft cockpit installation, the operational environment and pre-certification requirements. The requirements defined at the beginning of the project with the topic leader’s inputs, will be verified after its successful integration into the “cockpit demonstrator” avionics.

PEGGASUS brings together partners able to cover the complete value chain of innovative product development: SERMA Engineering (FR), an OEM for aeronautical equipment, CSEM (CH) an RTD with proven experience in innovative technologies for aeronautics, ETHZ (CH) represented by the Geogaze lab that conducts cutting edge research with eye tracking technology, particularly for the use in aviation training, and Swiss (CH), an airline and potential end user who will provide expertise in crew interfaces and monitoring.
Higher spin symmetry in quantum gravity, condensed matter and mathematics

A serious open issue is that there is no widely accepted solution to the Quantum Gravity Problem. This results in paradoxes and clouds the study of many problems from the cosmology of the early Universe to unified theories of fundamental interactions that should incorporate both the Standard Model of Elementary Particles and Gravity. This proposal aims at attacking the old problems from a new vantage point and to achieve long-awaited breakthroughs. 

The potential reward is enormous as the project aims to shed light on the wide range of problems by exploring a new avenue provided by the first working example of a Higher Spin Gravity (HiSGRA). It will (A) attack the Quantum Gravity Problem and give new consistent theories that should significantly extend our understanding; (B) the underlying higher spin symmetry should govern a number of condensed matter systems and we expect to prove the recently discovered remarkable dualities relating them; (C) these symmetries are also related to extensions of Deformation Quantization, which should lead to new developments in pure mathematics and consolidate A+B. HiSGRA's, as rather simple models, can give keys to the puzzles of the early Universe with potentially observable effects in the near future, to the old paradoxes of black hole physics and to real-world processes of black hole scattering, which together with B applies HiSGRA to physics. 

This project is timely and feasible thanks to the recent ground-breaking results obtained by me and collaborators: (1) the very first example of a quantum consistent HiSGRA has been constructed and shown not to suffer from the UV-divergences that are at the core of the Quantum Gravity Problem; (2) the same theory was instrumental in attacking the dualities in three-dimensional conformal field theories that govern the physics of many second-order phase transitions; (3) it made new verifiable predictions for correlation functions, which is the very first solid prediction from HiSGRA
TOWARD CARBON NEUTRAL ALPS - MAKE BEST PRACTICE MINIMUM STANDARD

The project addresses the need expressed by international community for transnational, well-directed and cross-cutting action to effectively manage climate change in the Alps. It aims to encourage preparation and implementation of cross-sectoral strategies and action plans and of proven good practice measures toward carbon neutrality on regional and local level. It contributes to the implementation of Alpine Convention Climate Action Plan and assures interaction with and transfer of results to policy level. Added value is in cross-sectoral, integrative and participatory approach. Through establishment of good practice transfer platform project provides framework for knowledge transfer between regions, for capitalisation of results of other projects and for implementation of measures toward carbon neutrality in the regions. In 12 pilot regions strategies and action plans toward carbon neutrality will be prepared and their implementation will start through implementation of measures.
Three-dimensional speckle imaging employing a frequency-locked tunable diode laser

We describe a high accuracy frequency stepping method for a tunable diode laser to improve a three dimensional (3D) imaging approach based upon interferometric speckle imaging. The approach, modeled after Takeda, exploits tuning an illumination laser in frequency as speckle interferograms of the object (specklegrams) are acquired at each frequency in a Michelson interferometer. The resulting 3D hypercube of specklegrams encode spatial information in the x-y plane of each image with laser tuning arrayed along its z-axis. The specklegrams are processed by Fast Fourier Transformation (FFT) along the z-axis of the hypercube and the center of the peak in the resulting power spectrum for each pixel encodes its surface height. Alternatively, Takeda’s method can be followed which uses the phase of the FFT, unwraps it, and determines the surface height encoded in the slope of a line fitted to the phase. Wraparound of modulations above the Nyquist limit results in ambiguity in the optical path difference (OPD) between test and reference surfaces. Wraparound also amplifies measurement noise caused by errors and jitter in frequency stepping the illumination laser. By locking the laser frequency to successive cavity modes of a reference confocal interferometer, tuning is precisely controlled resulting in dramatically improved imaging quality/. We present laboratory data of before and after results showing enhanced 3D imaging resulting from precise laser frequency control.