SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Soundproof walls

SPW project aims to develop soundproof walls that are more efficient and cheaper than the ones available on the market. For this we need to study the feasibility of MG wall innovation, which will include a) technical feasibility tests, b) economic feasibility studies, c) business plan.
The most important novelty of the project is the improved efficiency and the lower price – compared to the solutions available. 
According to a report by the EU Commission, 80 million people are endangered by continuous noise pollution higher than 65 decibels in Europe. Budapest is the third noisiest city in Europe after Sofia and Barcelona.
More than 10% of the European population have to bear the noise level that researchers and healthcare professionals regard as unacceptable. At this high level of noise, most people become tense, they will have sleeping disorder, with adverse health effects (increased risk of heart attack, neurodegeneration).
Our business model is focusing on the 
1) mass production of MG soundproof wall
2) utilizing of the patent at European or world level.
There are two ways to produce the soundproof wall of our project:
1) in the form of bricks compressed on high pressure
2) in the form of rammed walls.
The composition of materials for the two types of wall are very similar. Choice is made according to the conditions of use, considering which version is more economical for the particular case.
Our company expects to earn an average profit of 250,000 EUR per year between 2022-27 on the production of soundproof brick and walls and the utilization of the patent. During the implementation, we need to finalize, tests and validate and improve the current first-generation small scale prototype. Our business concept puts this into a two-year project, with the estimated cost of 2.2 million euros. The return on investment will be less than 10 years after entering the market.
Bee label: a new remote beehive surveillance for better bee health and secured pollination

Bee Angels is a young French SME, which has developed and commercialised a 1st generation of a new connected beehive system called Bee Label. It allows beekeepers to remotely check their hives and to take proactive steps to keep bees safe and happy, to fight against their disappearance and ensure pollination. Between 30% to 50% of bees dying-off each year. It poses a severe threat to European and global agriculture because bees pollinate more than 70 of the top 100 crops that provide 90% of the world’s food. Bees are guardians of the environment, warning us about climatic changes and environmental upheavals. Bee populations have declined worldwide, due to food source loss, stress, mites, fungus, and pesticides use. The European Parliament has stated that it is urgent to respond to this crisis in an appropriate manner and with effective weapons. 
Bee Label breakthrough system includes a connected beehive device, a mobile app and offers sponsorship of hives by large companies via Corporate Social Responsibility (CSR) programme. It would reduce the bees’ mortality up to 40%, saving around €1500/year/hive. Due to a decrease in travel, it would also reduce fuel consumption and CO2 by about 30%.
Bee Label is available through the Bee Angels’ e-commerce website. About 60 systems have been installed across France and several CSR actions have been initiated with large companies.
The objective of the feasibility study is to improve the current product by adding new internal beehive sensors for temperature and moisture levels, new cameras to monitor bees and to detect pathogens, and new solar panels. Bee Angels’ market positioning and commercialisation via large companies using CSR, beekeepers and pollination services will be better defined as well.
This will open new business opportunities and enable Bee Angels to generate an ambitious turnover of €19M in 2022. It will also create at least 38 new European jobs to drive development, marketing and international sales efforts.
Robot-Assisted flexible needle steering for targeted delivery of magnetic agents

Diagnostic agents are currently injected into the body in an uncontrolled way and visualized using non-real-time imaging modalities. Delivering agents close to the organ and magnetically guiding them to the target would permit a myriad of novel diagnostic and therapeutic options, including on-site pathology and targeted drug delivery. Such an advance would truly revolutionize minimally invasive surgery (MIS). Presently MIS often involves manual percutaneous insertion of rigid needles. These needles deviate from their intended paths due to tissue deformation and physiological processes. Inaccurate needle placement may result in misdiagnosis or ineffective treatment. Thus, the goal of ROBOTAR is to design a robotic system to accurately steer flexible needles through tissue, and enable precise delivery of agents by magnetically guiding them to a designated target.

There are several challenges: 3D models describing the evolving needle shape are not available, real-time control of flexible needles using 3D ultrasound (US) images has not been demonstrated, and US-guided tracking of magnetic agents has not been attempted. These challenges will be overcome by using non-invasively (via US) acquired tissue properties to develop patient-specific biomechanical models that predict needle paths for pre-operative plans. Intra-operative control of flexible needles with actuated tips will be accomplished by integrating plans with data from US images and optical sensors. Ultrafast US tracking methods will be coupled to an electromagnetic system to robustly control the agents. A prototype will be evaluated using microrobots and clusters of nanoparticles in scenarios with realistic physiological functionalities. The knowledge gained will be applicable to a range of flexible instruments, and to an assortment of personalized treatment scenarios. This research is motivated by the existing need to further reduce invasiveness of MIS, minimize patient trauma, and improve clinical outcomes.
Food Price Volatility: Causes & Challenges

After independence of INDIA, PAKISTAN & BANGLADESH, minimum wage in 1947, was at par and corresponding exchange rate was also at par with that of US Dollar. Countries, simultaneously, created with all kinds of similarities, after 65 years, exhibit large variations in monetary considerations and exchange rate in India at Rs.62.40/US$, in Bangladesh exchange rate at BDT 78/US$ and in Pakistan exchange rate at Rs.108/US$. Neighbours use trade policy and raise minimum wage to insulate their domestic food price. Natural conclusion is that rise in ratio of minimum wage drags exchange rate with respect to that of trading partners. This behaviour raises volatility of food price across neighbours. Because insulation policy exports volatility elsewhere. Comparison between peer States becomes easier and may not require any empirical test proof for natural conclusions. This paper emphasises synchronising, across neighbours & globally, up-rating minimum wage to contain food price volatility.
Modelling approaches for consequential life-cycle assessment (C-LCA) of bioenergy: Critical review and proposed framework for biogas production

Abstract Conventional life-cycle inventories (LCIs) are static models not considering any mechanism of revenue maximisation and price equilibrium under external constraints. An additional demand of a given commodity, irrespective of the amount, can always be supplied by the average supplier under fully elastic market assumption. This constitutes a recognised limitation for the application of LCA to the assessment of the environmental consequences of changes applied to complex systems, like agro-systems. In the so-called consequential LCI (C-LCI), the relationships between the activities and processes of a life-cycle are no longer seen as essentially technical connections, based on average data; instead the determining socio-economic mechanisms are considered via market information and eventually economic models (partial or computable general equilibrium). The practical implementation of C-LCI is however still obscure to many practitioners and the complementarities and overlaps between the different C-LCI modelling approaches have not been completely clarified so far. This paper aims at filling this gap. The first part of the paper provides a survey of a number of applications using different equilibrium models. Afterwards we critically review the main variables and parameters supporting the definition and implementation of the C-LCI modelling approaches. In the last part of the paper we propose a methodology to integrate economic modelling and LCA in order to perform a C-LCA of biogas production, specifically addressing the indirect land use change (ILUC) issue. Finally we describe the application of this methodology to a case study dealing with the production of biogas in Luxembourg.
Negotiation and mediation sensible issues' solutions

Inspired by the greek goddess Nemesis, personification of ""Distribution of Justice"", neither good nor bad, simply in due proportion to each according to what was deserved.
My research is focused on new dispute resolution methods, applying also new technologies, especially online dispute resolution platforms.
Seraphin is an online centre whose proceedings have been entirely digitized. Seraphin is well-known for their arbitration centre, enabling the efficient resolution of commercial disputes, but they are currently developing other platforms for Mediation and Negotiation.
Nemesis will focus on the link between the advanced research on online dispute resolution - from an academic perspective - and the real online world - with all the different cases and practical issues to face off on a daily basis - in order to develop a common path with solid research basis, due to the state of the art and best practices acquired during my academic career,
and a practical/pragmatic mindset, due to the issues faced everyday on the online Seraphin platforms.
This project concerns legal research with interdisciplinary aspects, incorporating insights from disciplines such as computer science, economics, and regulation theory. While scholars and regulators are concerned about forms and numbers of ODR providers, an in-depth study of the practical implications of e-mediation is lacking. This project is among the first to apply academic and practical perspective to e-mediation. The desk research will be enriched with insights from the workshops –
an innovative approach for legal research.
Spot - synthesis of pretargeted oncology theranostics

To overcome size-related drawbacks of intact antibodies (Ab) for active tumor targeting, small but multivalent Ab-fragments, which fall in the “ideal tumor targeting zone”, are gaining increasing interest. However, the achieved benefits of Ab-fragments are lost when conjugated to imaging probes or drug carriers. Therefore, the SPOT action is going to focus on the generation of small Ab-fragments with highly specific targeting capacities and deep tissue penetration that are able to subsequently undergo a bioorthogonal click reaction at the tumor site. As cancer model, pancreatic ductal adenocarcinoma (PDAC), which currently still has an extremely poor prognosis, is going to be targeted. Two different click reaction will be evaluated: The cycloaddition between tetrazine and trans-cyclooctene (TCO) as well as azide and dibenzocyclooctyne (DBCO), whereby the Ab-fragments are functionalized with the TCO and DBCO groups. The opponent moieties are attached to alginate and hyaluronic acid-based ligands, which are subsequently introduced to the nanoparticle’s (NP) surface, additionally providing shielding from the immunological system. After the accumulation of the clickable Ab-fragments at the tumor site and their clearance from healthy tissue, the imaging or drug-delivering NPs with the opponent clickable moieties are injected, allowing for their exclusive accumulation at the pretargeted tumor site. For effective visualization of PDAC tissue, state-of-the-art silver sulfide NPs, with a high contrast-to-noise ratio and deep tissue imaging, are applied. The use of these NPs can be a significant step towards early PDCA diagnosis and therefore providing better chances for a positive treatment outcome. For the pretargeted drug-delivery approach, poly(lactic acid)-based NPs with encapsulated gemcitabine or docetaxel generated via electrospraying are going to be tested as a potential chemotherapeutic approach for PDAC, preforming small animal in vivo studies with PDAC xenografts.
Multi-wavelength spectroscopy of oriented erythrocytes

Accurate characterization of the optical properties of erythrocytes is essential for the applications in optical biomedicine,
in particular, for diagnosis of blood related diseases. The observed optical properties strongly depend on the
erythrocyte's size, hemoglobin composition and orientation relative to the incident light. We explored the effect of
orientation on the absorption and scattering properties of erythrocytes suspended in saline using UV-visible spectroscopy
and theoretical predictive modeling based on anomalous diffraction approximation. We demonstrate that the orientation
of erythrocytes in dilute saline suspensions is not random and produces consistent spectral pattern. Numerical analysis
showed that the multi-wavelength absorption and scattering properties of erythrocytes in dilute suspensions can be
accurately described with two orientation populations. These orientation populations with respect to the incident light are
face-on incidence and edge-on incidence. The variances of the orientation angles for each population are less than 15
degrees and the relative proportions of the two populations strongly depend on the number density of the erythrocytes in
suspensions. Further, the identified orientation populations exhibit different sensitivities to the changes in the
compositional and morphological properties of erythrocytes. The anomalous diffraction model based on these orientation
populations predicts the absorption and scattering properties of erythrocytes with accuracy greater than 99%.
Establishment of the optical properties of normal erythrocytes allows for detection of the disease induced changes in the
erythrocyte spectral signatures.
Quantum communication networks

My goal is to overcome the two-most pressing theoretical challenges necessary to build large-scale quantum communication networks: routing and designing protocols that use them to solve useful tasks. In two interconnected projects, I will devise entirely new concepts, models and mathematical methods that take into account the intricacies of real world quantum devices that can operate on only very few quantum bits at a time.

(1) Security: I will prove the security of quantum cryptographic protocols under realistic conditions, and implement them in collaboration with experimentalists. I will develop a general theory and practical tests for the security of multi-party cryptographic primitives using untrusted quantum devices. This is mathematically challenging due to the possibility of entanglement between the devices.

(2) Routing: I will initiate the systematic study of effective routing in a quantum communication network. This is necessary for quantum networks to grow in scale. Quantum entanglement offers very different means of routing messages than is possible in classical networks, and poses genuinely new challenges to computer science. I will design routing protocols in a multi-node quantum network of potentially different physical implementations, i.e., hybrid networks, that will establish a new line of research in my field. 

Quantum networks are still in their infancy, even though quantum communication offers unparalleled advantages that are provably impossible using classical communication. Building a quantum network is an interdisciplinary effort bringing together computer science, physics, and engineering. I am in a unique position in computer science, since I have recently joined QuTech where I have direct access to small quantum devices - bringing me tantalizingly close to seeing such networks realized. As with early classical networks, it is difficult to predict where our journey will end, but my research will join theory and experiment to move forward.
Theoretical analysis of the performance of different cooling strategies with the concept of cool exergy

Abstract The whole chains of exergy flows for different cooling systems were compared. The effects of cooling demand (internal vs. external solar shading), space cooling method (floor cooling vs. air cooling with ventilation system), and the availability of a nearby natural heat sink (intake air for the ventilation system being outdoor air vs. air from the crawl-space, and air-to-water heat pump vs. ground heat exchanger as cooling source) on system exergy performance were investigated. It is crucial to minimize the cooling demand because it is possible to use a wide range of heat sinks (ground, lake, sea-water, etc.) and indoor terminal units, only with a minimized demand. The water-based floor cooling system performed better than the air-based cooling system; when an air-to-water heat pump was used as the cooling source, the required exergy input was 28% smaller for the floor cooling system. The auxiliary exergy input of air-based systems was significantly larger than the water-based systems. The use of available cool exergy in the crawl-space resulted in 54% and 29% smaller exergy input to the power plant for the air-based and water-based cooling systems, respectively. For floor cooling, the exergy input to the power plant can be reduced by 90% and 93%, with the use of ground, and use of the ground and the air in the crawl-space, respectively. A new approach to exergy efficiency was introduced and used to prove that the exergy supply from the ground matches well with the low exergy demand of the floor cooling system.
An In-depth Study of Stochastic Kronecker Graphs

Graph analysis is playing an increasingly important role in science and industry. Due to numerous limitations in sharing real-world graphs, models for generating massive graphs are critical for developing better algorithms. In this paper, we analyze the stochastic Kronecker graph model (SKG), which is the foundation of the Graph500 supercomputer benchmark due to its many favorable properties and easy parallelization. Our goal is to provide a deeper understanding of the parameters and properties of this model so that its functionality as a benchmark is increased. We develop a rigorous mathematical analysis that shows this model cannot generate a power-law distribution or even a lognormal distribution. However, we formalize an enhanced version of the SKG model that uses random noise for smoothing. We prove both in theory and in practice that this enhancement leads to a lognormal distribution. Additionally, we provide a precise analysis of isolated vertices, showing that graphs that are produced by SKG might be quite different than intended. For example, between 50% and 75% of the vertices in the Graph500 benchmarks will be isolated. Finally, we show that this model tends to produce extremely small core numbers (compared to most social networks and other real graphs) for common parameter choices.
Ethnicity and Trust: A Multifactorial Experiment

This article reports the results of an online experiment conducted in two ethnically fragmented societies in Spain: the Basque Country and Catalonia. It tests the effect of co-ethnicity on trust and reciprocity. Ethnicity was manipulated in the experimental context using three ethnic attributes: ancestors' origin, language and name. Additionally, the article reports a comparison of general levels of trust in the two regions. No co-ethnicity effect on trust is found, but there is significantly more reciprocal behaviour between Catalan speakers in Catalonia. Higher levels of trust and reciprocity are found in the more homogeneous society of the Basque Country. The lack of co-ethnicity effect on trust is especially significant given that the Basque Country has experienced decades of terrorism along ethnic lines.
ANTI-STATIC CLEANROOM PRODUCTS AND METHODS OF MAKING SAME

Anti-static cleanroom products having a coating of conductive polymeric particulates which decreases the surface resistivity of the products. Preferably, the particulates are pyrrole polymers. The anti-static properties are achieved by depositing conductive polymer particles onto the non-conductive substrate surface. The anti-static products include cleanroom wipers, stationery products (notebooks and writing instruments), garments and swabs (polyurethane foam tipped). The cleanroom stationery products include notebooks comprising polyethylene impregnated with silica. The invention also includes anti-static plastic gloves.
Involving the private sector in Mobility Management

The project BACKGROUND is as follows.  Sustainable transport is a high priority for the EC in order to reduce pollution and increase Quality of Life.  Car-user rates can be reduced by MOBILITY MANAGEMENT POLICIES.  But these can only be delivered by public authorities with ACTIVE PUBLIC PARTICIPATION of the private sector eg employers and managers of large sites that attract a lot of people (employment, retail, sport). Good practices have been developed in some regions but they are still not widely adopted.

The project OBJECTIVE is to improve cooperation with the private sector and thus increase modal shift towards more sustainable forms of travel to and in business areas in European regions .


The project CONSORTIUM comprises 11 REGIONAL PARTNERS from 11 different regions, 4 from new Member States, plus1 EXPERT PARTNER with research and practical experience of working at the public/private interface. Each regional partner has recruited a ‘regional
consortium’.  Key decision-makers from these organisations will be involved at key stages of the project.



MAIN ACTIVITIES are: 
PHASE 1 Jan-12 / Apr-13: IDENTIFY GOOD PRACTICES: assemble a list of good practices; undertake three Study Visits per region (visit delegations will include members of the regional consortium). Promote the project to regional stakeholders, hold 11 regional conferences (in own-language). 
PHASE 2 Apr-13 / Jul-13 ANALYSE GOOD PRACTICES: analyse the Study Visit outcomes to identify the potential for transfer, draft the good practice methodology, plan phase 3, design the Regional Implementation Plan process 
PHASE 3 Jun-13 / Jul-14: ADOPT GOOD PRACTICES: all regions will (1) hold an ‘Import Workshop’ (in own-language), where experts from the export-regions will advise on importing their good practices; (2) draft their Regional Implementation Plan, to be formally considered by
regional authorities before project-end.  Each region will promote the project locally to regional stakeholders, hold a regional conference.  5 regions will undertake 4 small pilot projects on specific ‘laboratories’ 
PHASE 4: Jul-14 / Dec-14 FINAL OUTPUTS:  finalise the good practice methodology, publish it as a conventional report, also as an application for smart-phones; hold end-of-project conference.

Expected OUTPUTS are: 65 press releases, 1 brochure, 23 dissemination events, 78 other events attended.  48 interregional events (33 Study Visits, 15 Workshops), 48 good practices identified, 6 good practices tested via 4 pilot projects, 11 ambitious Regional Implementation Plans.

Expected RESULTS are: extensive media coverage of issue and project, at least 6 good practices successfully transferred, 33 staff members with increased capacity, 6 regional/local policies and instruments improved, 1 good practice methodology also published as a smartphone app.