SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
An innovative collaborative circular food system to reduce food waste and losses in the agri-food chain

It is evident that current food supply chains are notoriously inefficient and show vulnerabilities from initial agriculture production down to the final household consumption and the management of the waste generated.

FoodRUs strategy has been built on the basis of the three fundamental pillars of food sovereignty  to undertake Food Waste Prevention challenge being Circular Economy a mandatory model from which to generate, implement and replicate solutions, in different value chains. The reasoned application of these basic principles where FoodRUs strategy is applied, will assure resilient and sustainable local and regional Bioecosystems thanks to a multi-actor and multidisciplinary approach.

FoodRUs will deployed 23 technological, social, financial, legal, educational, political, labelling and organizational innovative solutions involving the mobilization and active participation of more than 40 actors to overcome the specific challenges of the selected value chains and follower regions consisting on: experts on agro-industry, Life Cycle Assessment , social innovation and social economy, sensitisation , culinary arts, nutrition, labelling, fiscality and ICT tools; municipalities; policy makers; ethical finance organizations, stakeholders of the entire food value chains (producers, farmers, retailers, packaging and logistics services, restoration sector, consumers associations and communities); waste managers; entrepreneurs; ONGs; food banks; social kitchens; educational centres and civil associations. FoodRUs will screen 3 value chains focused on 3 specific types of food in Europe: 
-Cross-regional Spanish pilot (SPP) focused on vegetables and IV range salads 
-Danish pilot (DP) that will analyse the value chain for meat and fish 
-Slovak pilot (SLP) analysing the bread value chain 

FoodRUs will actively involve 6 European regions as Followers: (Valencia (Spain), Cluj-Napoca (Romania), Budapest (Hungary), Linz (Austria), Plovdiv (Bulgaria) and Halandri (Greece)
Privacy-preserving admission to mobile peer-to-peer groups

Mobile peer-to-peer groups, which do not require any pre-deployed infrastructure or trusted centralized authority are valuable for a variety of collaborative applications. This work is focused on how to securely admit new users to such groups. Existing mechanisms based on threshold cryptography require that prospective members collect sufficient number of individual votes from the group prior to obtaining a membership credential. However, this approach does not consider the desirable anonymity of group members towards the admitted or declined users. This paper presents an admission control mechanism in which group members decide collectively and notify prospective members on the outcome of their decision without revealing their identities to prospective members.
Optimization of Operation Parameters of CAST Process in Low Temperature Period

The microbial activity is significantly reduced at low temperature,which has a great influence on the efficiency of biological treatment process.CAST process is used in Chongqing Lijiatuo WWTP,and its operation pattern in low temperature period is as follows;influent 1 h,influent/aeration 2 h,slight aeration 1 h,sedimentation 1 h and decanting 1 h.The optimization of operation parameters was carried out to improve nitrogen removal efficiency.The result shows that optimal nitrogen removal efficiency can be achieved with an average nitrogen removal rate of 75%when DO during aeration period and slight aeration period is 2.0 to 3.0 mg/L and below 0.5 mg/L,MLSS is 3 500 to 4 000 mg/L,correspondingly, SRT of 15 to 20 d,and the sludge reflux ratio is 30%.
Maternal plasma antioxidant status in the first trimester of pregnancy and development of obstetric complications

Oxidative stress is present in pregnancy complications. However, it is unknown if early maternal antioxidant status could influence later development of complications. The use of assisted reproduction techniques (ART) is rising due to the delay of first pregnancy and there is scarce information on its influence on oxidative balance.To assess the possible relationship between maternal plasma antioxidant status in first trimester of gestation with later development of pregnancy complications, evaluating the influence of ART and nutrition.Plasma from 98 healthy pregnant women was obtained at week 10, nutrition questionnaires filled and women were followed until delivery. We evaluated biomarkers of oxidative damage (carbonyls, malondialdehyde-MDA), antioxidants (thiols, reduced glutathione, phenolic compounds, catalase and superoxide dismutase activities) by spectrophotometry/fluorimetry and melatonin (ELISA). Antioxidant status score (Antiox-S) was calculated as the computation of antioxidants. Diet-antioxidants relationship was evaluated through multiple correspondence analysis.Melatonin and carbonyls exhibited a negative correlation. No difference in oxidative damage was found between groups, but Antiox-S was significantly lower in women who developed complications. No differences in oxidative damage or Antiox-S were found between ART and no-ART pregnancies. High consumption of foods of vegetable origin cluster with high plasma levels of phenolic compounds and with high Antiox-S.In early normal gestation, low plasma antioxidant status, assessed through a global score, associates with later development of pregnancy complications. Larger population studies could help to determine the value of Antiox-S as predictive tool and the relevance of nutrition on maternal antioxidant status.
CRYSTALLINE FORM OF A HEPATITIS C VIRUS INHIBITOR

The invention provides the crystalline hydrate of [(S)-2-((2S,4S)-2-{4-[5'-chloro-4'-({6-[(R)-4-(2,2-dimethyl-propionyl)-2-methyl-piperazin-1-yl]-pyridine-3-carbonyl}-amino)-2'-trifluoromethoxy-biphenyl-4-yl]-1H-imidazol-2-yl}-4-methoxy-pyrrolidin-1-yl)-2-oxo-1-(tetrahydro-pyran-4-yl)-ethyl]-carbamic acid methyl ester dihydrochloride The invention also provides pharmaceutical compositions comprising thecrystalline form, methods of using the crystalline form to treat hepatitis C virus infection, and processes useful for preparing the crystalline form.
Novel braced frame for earthquake resilience

The project will develop a seismic-resistant steel frame for high seismic resilience. The frame consists of a moment-resisting frame equipped with concentric braces. Replaceable energy-dissipative hourglass shape pins made of duplex stainless steel that results in high post-yield stiffness are in series connected to the braces. Moreover, replaceable fuses are introduced at the locations of the beams of the moment resisting frame where plastic hinges are expected to develop. The project uses an
integrated experimental-numerical research methodology to evaluate the seismic performance of the proposed configuration. Emphasis is placed in developing a reliable seismic design methodology for the practical application of the proposed system.
Novel electric stair climber to break barriers in transport of disabled people and goods through a safe, quick and comfortable movement

TGR is an Italian company with more than 35 years of experience in the field of stair climbers. Over 50,000 people with reduced mobility have benefitted from our products improving their welfare. With SIRENA we want to become a technological reference among stair climbers with a unique and universal solution able to climb any type of stairs in a quick, safe and comfortable way, improving the living conditions of millions of citizens in Europe and around the world. Competitors’ devices cannot guarantee a stable movement or climb any type of stair, whereas the stability offered by SIRENA on the stairs -even when inclined- is succeeded through the exclusive innovation introduced by TGR. 
The main objective of this phase 2 is to ensure that TGR meets the technical, commercial, regulatory and financial requirements for a successful industrialization and commercialization of SIRENA from 2020. While completing the testing of the final prototype, finalizing the design, determining IPR and obtaining all necessary certifications, we will prepare the commercialization of SIRENA. We will reach our end users (persons who, because of a trauma, disease or age, are not autonomous in their movements) through our consolidated commercial network and new commercial channels (associations of disabled, nursing homes, pharmacies). In addition, we identified a complementary market opportunity in the transport of freight, with regard to construction sites, carriers, transporters, food and drinks sector and gradually, funeral homes. We plan to adapt SIRENA to heavy and large objects to enter this market, which is already demanding safer and more durable devices.
SIRENA will contribute to a smarter global mobility, promote social tourism and break barriers in the transport of disabled people and goods. The success of the project will strengthen EU leadership in the personal mobility and freight industry, contributing to innovation, growth (€16M revenues) and jobs (15 new employees by 2024)
Retorno: interventions on social determinants of health: a comparative study of returned migrants from the uk and spain post-brexit referendum

Migration policies in EU countries interact with structural social determinants of health (unemployment, social/health insurance, housing provision, pension schemes), unequal social structures (gender, ethnicity, class), intermediary social determinants (working and living conditions, health and social care systems) and social cohesion/capital. Consequently, return migration’ interventions for social determinants of health (SDH) may work well in one context to reduce social health inequalities but inadequately in others. 
This study will develop an evidence-based context-sensitive theory of how intra-EU returned migrants’ health could be improved using the case study of return migration between the UK and Spain post-Brexit referendum. It will aim to explore how Brexit could affect health and social care services provision for returned migrants and the implications for different stakeholders (migrant NGOs, Embassies/Consulates, health and social care staff, policy makers); to classify interventions for SDH  to understand for whom, under what circumstances, in what respects and why they may impact returned migrants health inequalities; to identify contextual factors and  main mechanisms triggered by interventions and how these impact health outcomes, focusing on gender inequalities; and to provide a co-produced theory on how public policies may impact EU citizens after residing in other EU member states. 
The study will use an innovative realist synthesis methodology with nested co-production stakeholder workshops in five methodological phases: 1) Consolidate scope; 2) search for evidence; 3) appraise studies and extract data; 4) synthesize evidence and draw conclusions; 5) disseminate, implement and evaluate. Anticipated findings will provide policy makers with stronger evidence to support future national and European policies based on complex changing socio-economic realities that impact EU returned migrants’ health, while adding to migration movements´ theory.
Carbon fiber microelectrodes for human brain research and clinical applications

Kation Europe Lp. manufactures and sells carbon fiber (CF) microelectrodes for professionals in neurological sciences used to record electrochemical signals from or to pass stimulatory currents into the brain. Using novel pulling methods and advanced materials, we have managed to produce extra-long, extra-thin tapered CF electrodes prototype with sub-micrometer carbon tip that are capable of reaching deep brain structures. A thin metal shielding on the glass sheathing allows a 10-fold increase in the recording sensitivity and the device is suitable for bipolar stimulations as well. The expected outcome of the project is an ultra-micro metal coated carbon electrode and related technology applied to use in human brain.
With the human applications new ways may emerge in diagnostics and neurosurgery. We aim to bring our prototype to maturity for commercialization and aim to enter the high volume human healthcare. The great potential of the project is highly supported by our researcher background and the 10-year long experience in developing and marketing CF microelectrodes. We have previously surveyed hundreds of our customers’ needs. Now we are a major manufacturer of CF microelectrodes in a growing niche market and aims to penetrate the high volume human healthcare market. If succeed, we may become a decisive maker and licensor of CF microelectrodes on the global market.
In Phase1, the purpose is to model the innovation project and the first business period related to our developments, potential market channels, applied business model and pricing, utilizations and risks. Also, we will create an elaborated business plan based on a primer market research alongside with a freedom-to-operate analysis. In Phase2, we intend to finalize our innovation activities, to demonstrate all capabilities of the new products and to optimize the technology in order to reach industrial readiness for mass production and license. The expected budget of the overall project is 2 million EUR.
Machine learning quantum dynamics

A key scope of quantum many-body theory is the identification of universal behavior in quantum matter, where macroscopic properties become independent of microscopic details. In recent years the quest for phases with novel universal properties has been revolutionized by forcing systems out of equilibrium, which has opened up a universe of unexplored phenomena and new dynamical paradigms. These developments not only hold the promise to theoretically uncover unrecognized universal dynamical behavior, but are also driven by the enormous advances in quantum simulators such as ultra-cold atoms, which have nowadays achieved unique capabilities in generating and probing such nonequilibrium quantum states. Still, their theoretical description is facing severe challenges. It is the aim of this proposal to take the theoretical understanding and predictive power of quantum many-body theory to a new level by an crossdisciplinary approach at the interface between quantum dynamics and machine learning. 

The central element of this approach is to encode time-evolved quantum states into artificial neural networks, which have been remarkably successful in storing and recognizing complex structures in computer science. In order to reach the main goal we have identified three main challenges which form the core of the program: (i) to design efficient artificial network structures based on fundamental principles of quantum many-body systems such as locality and causality; (ii) to utilize concepts of many-body theory and statistical physics to understand the physical properties of artificial neural networks; (iii) to explore fundamental but yet inaccessible dynamical quantum phenomena and universal behavior in quantum dynamics. The successfully conducted research program will lift the description and understanding of quantum many-body dynamics to a new level, impacting significantly both quantum theory as well as future experiments.
DENSIDAD Y ESTRUCTURA DE TALLAS DEL PEZ LEÓN PTEROIS VOLITANS (SCORPAENIDAE) EN EL CARIBE OCCIDENTAL INSULAR COLOMBIANO

The problems produced by invading species have been recognized in the last years, considering the situation the second cause of biodiversity lost, after habitat degradation. The lion fish (Pterois volitans), a species native to the Western Pacific, was first detected in southern Florida in 1985. Since 2000 the species began dispersing, extending first to the east coast of the United States, Bermuda, and Bahamas, and, after 2007, it has expanded to the Caribbean, appearing in Colombian oceanic and continental localities in 2008 and 2009, respectively. San Andrés natural conditions ease deeper understanding of several aspects of the invasion and constitutes a natural experiment to study the process and behavior of the colonization. Estimations of its abundance, density and size structure in the island environment of the Colombian Caribbean should allow making valid approximations to mitigating strategies. 1200 m2 distributed in three stations (Bajo Bonito, Villa Erika, and West Point) were studied in the island. A density of 379.03 ind/ha (± 220) and a total population of 109.6826 x 104 individuals with a mean size of 29.03 (± 2.47) cm were found
Composite Boson Mapping for Lattice Boson Systems

We present a canonical mapping transforming physical boson operators into quadratic products of cluster composite bosons that preserves matrix elements of operators when a physical constraint is enforced. We map the 2D lattice Bose-Hubbard Hamiltonian into $2\ifmmode\times\else\texttimes\fi{}2$ composite bosons and solve it within a generalized Hartree-Bogoliubov approximation. The resulting Mott insulator-superfluid phase diagram reproduces well quantum Monte Carlo results. The Higgs boson behavior in the superfluid phase along the unit density line is unraveled and in remarkable agreement with experiments. Results for the properties of the ground and excited states are competitive with other state-of-the-art approaches, but at a fraction of their computational cost. The composite boson mapping here introduced can be readily applied to frustrated many-body systems where most methodologies face significant hurdles.
Insulative roof apparatus

Insulative roof apparatus includes flexible layers of different materials, including insulation and sealing materials, all of which are flexible, to withstand movement of the roof of mobile homes and similar buildings.
EVALUATION SYSTEM FOR USERS IN A WORKSITE

Disclosed herein is a worksite evaluation system for evaluating a plurality of users in a worksite comprising a plurality of data capture devices and an activity determination system configured to determine activity data of a user in dependence on the user's user data, wherein the activity determination system determines the activity data by using an activity classification algorithm, wherein the activity classification algorithm is trained to recognise a plurality of specific movement signatures of a user's head, with each specific movement signature corresponding to a different activity being performed. Each data capture device is disposed within a respective helmet for wearing by a respective user, wherein each data capture device is configured to obtain user data. Each data capture device comprises an inertial measurement unit configured to obtain motion data of a respective user's head as part of the user data; and a communication unit configured to transmit data dependent on the user data from the data capture device to a remote processing system.
BIOFUEL AND ELECTRICITY PRODUCING FUEL CELLS AND SYSTEMS AND METHODS RELATED TO SAME

A fuel cell comprising an anode electrode, a cathode electrode and a reference electrode electronically connected to each other; a first biocatalyst comprising a consolidated bioprocessing organism (e.g., a cellulomonad or clostridium or related strains, such as Cellulomonas uda (C. uda), C. lentocellum, A. cellolulyticus, C. cellobioparum, alcohol-tolerant C. cellobioparum, alcohol-tolerant C. uda, Clostridium cellobioparum (C. cellobioparum) and combinations thereof) capable of fermenting biomass (e.g., cellulosic biomass or glycerin-containing biomass) to produce a fermentation byproduct; and a second biocatalyst comprising an electricigen (e.g., Geobacter sulfurreducens) capable of transferring substantially all the electrons in the fermentation byproduct (e.g., hydrogen, one or more organic acids, or a combination thereof) to the anode electrode to produce electricity is disclosed. Systems and methods related thereto are also disclosng a consolidated bioprocessing organism.
APPARATUS FOR ELECTROLESS DEPOSITION OF METALS ONTO SEMICONDUCTOR SUBSTRATES

An electroless deposition system is provided. The system includes a processing mainframe, at least one substrate cleaning station positioned on the mainframe, and an electroless deposition station positioned on the mainframe. The electroless deposition station includes an environmentally controlled processing enclosure, a first processing station configured to clean and activate a surface of a substrate, a second processing station configured to electrolessly deposit a layer onto the surface of the substrate, and a substrate transfer shuttle positioned to transfer substrates between the first and second processing stations. The system also includes a substrate transfer robot positioned on the mainframe and configured to access an interior of the processing enclosure. The system also includes a substrate a fluid delivery system that is configured to deliver a processing fluid by use of a spraying process to a substrate mounted in the processing enclosure.
Artificial microtubules based on switchable cyclic peptides

Naturally occurring living materials, for e.g. the cell cytoskeleton, consist of intricate supramolecular polymers whose self-assembly is controlled by high energy molecules such as guanosine triphosphate GTP. MiNaturally occurring living materials, such as the cell cytoskeleton, consist of intricate supramolecular polymers whose self-assembly is controlled by high energy molecules such as guanosine triphosphate GTP. Microtubules for example, are incredibly strong, but because they are chemically fueled by GTP, they can be built up or broken down at specific times and locations inside the cell. The tubules are in so-called non-equilibrium steady states, and are kept away from the thermodynamic equilibrium for extended periods of time. In the recent years, artificial supramolecular polymers have been made that are transiently out-of-equilibrium by addition of a single shot of chemical fuel, or for long times by continuous addition of fuel and removal of waste. The mechanical properties of the latter artificial systems are quite poor in comparison with real microtubules. The aim of this CYCLOTUBES project is to make artificial microtubules from cyclic peptides that can chemically or enzymatically be switched between the assembled and disassembled state. To this end, we will use oxidation and reduction reactions in a cell-like environment, that is, in a membrane enclosed chamber. In the latter, chemical fuel can be added and waste be removed continuously. In addition, the assembly/disassembly of the artificial tubules can be monitored using microscopy. Our work will give fundamentally new insights into out-of-equilibrium self-assembly, and could lead to novel life-like materials that are capable of performing significant mechanical work due to the unique mechanical properties of the cyclic peptide tubules. The candidate will work at the forefront of the field of systems chemistry and supramolecular chemistry, which are very important for the competitiveness of Europe.