SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Rural-Urban inclusive governance strategies an tools for the sustainable development of deeply transforming Alpine territories.

The main problem to be faced through the project is the poor efficiency and effectiveness of the policies to offset the relation among urban and rural areas and their development model. Such an inefficiency is due to the complexity to merge in an organic whole a lot of sectorial policies which have been carried out to tackle the critical situation in terms of loss of competitiveness, landscape degradation, lack of water and soil quality, loss of biodiversity, territorial fragmentation and abandonment, intense use of the resources, quality of life decay. A balanced development can not be achieved with sectorial interventions but only by crossing the segmentation of the territorial governance policies. As the problems are very complex, any solution to be effective needs concretely defined pathways to ensure the inclusiveness of the decision making process. Therefore, the rural/mountain and urban communities should be considered as equal players in a win-win game where one each other they can exchange knowledge, development models, values, investments.
The psychological microfoundations of knowledge production in international relations

This project aims to identify and explore the underlying psychological mechanisms (or microfoundations) of knowledge production in IR scholarly communities in the South. Recent research suggests that the attention to non-Western intellectual production can elicit misrecognition and produce and a self-effacing stance. Research has shown that geopolitical changes in world politics impact not only what scholars in those regions think about the world but also have psychological effects on how scholars see themselves and the knowledge they produce about their countries and international relations. Material, socio-political, and geopolitical dynamics affect the conditions for intellectual innovation and knowledge production. States, however, do not produce knowledge; scholars do. Scholarly communities educate, inform, and influence policymakers —impacting either directly and indirectly on foreign and defence policies, the country’s behaviour in international politics, and more broadly, how power transitions are shaped. Studying the underlying psychological mechanisms of knowledge production offers an innovative angle to understand how scholars in emerging powers think the world, how they frame and disseminate their knowledge about the international, how they perceive other cognate scholarly communities, and more broadly, allow us a window to predict how IR knowledge will frame the future of international politics. To date, little work has examined the structure or psychological correlates of the knowledge production about the international. I fill this gap by combining sociology of knowledge and behavioural science. Across three studies, I explore how individual differences (e.g., personality, morality, values, prejudice, and stereotyping) are associated with knowledge production in IR. I focus on these because they have been studied most widely in social and political psychology, as my departing point to establish interdisciplinary points and to allow replicability.
Molecular characterization and functional analysis of duck TRAF6

Tumor necrosis factor receptor-associated factor 6 (TRAF6) plays a pivotal role in activating various signaling cascades as an intracellular signal transducer. Although significant progress has been made clarifying TRAF6 function in mammals, the role of TRAF6 in ducks (duTRAF6) remains poorly understood. In the present study, we cloned the full-length duTRAF6 cDNA from duck embryo fibroblasts (DEFs) for the first time. Real-time quantitative reverse transcription-polymerase chain reaction assays showed that duTRAF6 was widely expressed in different tissues. Overexpression of duTRAF6 activated nuclear factor kappa B (NF-κB) and induced interferon-β expression. Furthermore, a deletion mutant analysis revealed that the duTRAF6 region between aa 115 and 375 was essential for activating NF-κB. In addition, duTRAF6 knockdown by RNA interference significantly reduced poly(I:C)- and Sendai virus-induced NF-κB activation in DEFs. Taken together, our results demonstrate that duTRAF6 plays a crucial immunoregulatory role in the duck innate immune response.
The Precuneus and Visuospatial Attention in Near and far Space: A Transcranial Magnetic Stimulation Study

There is a large body of evidence for the involvement of the parietal cortex in orientation and navigation in space. This has been supplemented by investigation of the contribution of a number of subregions using transcranial magnetic stimulation.The role of the precuneus area, located in the medial plane of posterior parietal cortex (PPC), in visuospatial functions is not well understood. We investigated the contribution of this area using the landmark task.Participants were asked to make forced-choice judgments of which side of prebisected line was longer for near and far viewing conditions (70 and 180 cm, respectively). Online 10 Hz, repetitive transcranial magnetic stimulation (rTMS) was delivered for 500 ms over the right precuneus, rPPC and vertex (control), in separate blocks of trials. The rPPC stimulation was used as a positive control, having previously resulted in "neglect like" spatial bias effects in a number of studies.A no-TMS condition showed a leftward spatial bias (pseudoneglect) for near space judgments but not for far space and was used as the baseline. Precuneus stimulation resulted in rightward spatial bias from the midpoint in near space similar to the rPPC neglect-like effect. No significant effects were seen with vertex stimulation.This study shows that precuneus, like other parietal areas, is involved in visuospatial functions. Further work is required to clarify how the contribution of this area differs from other parietal regions.
Integrated rational design of cell factories for high value compounds

Industrial biotechnology is being increasingly considered as a means to lower the dependency on oil-derived raw-materials, increase the use of renewable resources and reduce the use of water, energy and the production of CO2 emissions in the current chemical industry. However, although generally more sustainable and environmentally friendly, bioprocesses are normally not yet economically competitive. SILICO develops rational solutions for the optimization of microbes, targeted at the robust and cost-effective production of target compounds such as bio-fuels, food ingredients, chemical building blocks or biopolymers. 
After more than six year working closely with leading chemical, materials, agriculture and synthetic biology companies as a development partner to maintain their market edge in increasingly competitive markets. The main current challenge of the company and central objective of this innovation action is to move from a purely service provider company into a product provider company, working in the integrated development of bio-processes, from the in silico design of cell factories to the in vivo implementation by the company itself or in a joint-venture/partnership model. 
The company expects that, with the collaboration of the Innovation Associate, an innovation strategy exploiting the design of optimized microbes to overproduce selected high value chemicals with high market potential will be defined, thus generating its own IP to be licensed out or used in joint ventures with industrial partners. 
As part of the Magyc project SILICO, with the collaboration of the Innovation Associate,  aims at  the development of a strategic plan to expand its operations into an integrated rational development company, exploiting the uniqueness features of its core technology and acquiring the required wet lab competences.
Smart home services based on event matching

The smart home based on the Internet-of-Things (IoT) and other technologies provides people a living environment with security, convenience, comfort, environmental protection and intelligence. One of the key issues for the smart home service system is how to process real-time data from IoT layer rapidly and supply an initiative service with precision, individuation and intelligence. This paper proposes a smart home service framework based on event matching, and designs a hierarchical model for smart home services supporting real-time data awareness, data processing, event processing and service mapping. At the same time we improve the Rete algorithm to implement event engine and analyze the performance of the improved Rete algorithm. At last, an application is used to verify the feasibility and effectiveness of the smart home service based on event matching.
METHOD FOR AUTOMATICALLY GUIDING A MINING MACHINE

The invention relates to a method for automatically controlling a mining ma-chine. In the method a route is determined for a mining machine (14) in the form of successive, interconnected segments in a coordinate system fixed in relation to the mine, the segments in turn being determined as successive points located at a distance from one another. The location of each point is determined in the coordinate system fixed in relation to the mine and the data associated with the points is sent wirelessly (17) to the mining machine.
Wireless optogenetics to elucidate the function of corticostriatal neurons in birdsong

Corticostriatal neurons are vital components of brain circuits that connect cortical areas to the striatum, and are known to play essential roles in the control of cognitive and motor functions. The contribution of these projection neurons in shaping vocal behaviors in the healthy brain and their implications in disease are nonetheless still not well understood. I will use songbirds as a model system to investigate the functional roles of a corticostriatal neuron population during the production of vocal sequences and in reinforcement learning of vocal features. Songbirds are the prime model system to study the neural basis of speech development and complex motor skill acquisition, due to the many parallels between birdsong and human speech and their respective neural correlates. I will investigate corticostriatal neurons in nucleus HVC (proper name), the songbird vocal premotor cortex analog. Neural activity in HVC has been thoroughly studied in the past, but the roles of individual HVC neuron types in mediating vocal sequences and the stereotypy and flexibility of song features remain poorly understood. I will be using optogenetics to manipulate activity in HVC’s corticostriatal neurons during the production of song sequences, and while birds are adapting song features in response to an externally applied aversive auditory stimulus. I will first develop novel tools to enable such investigations in songbirds, including new viral constructs to target specific projection neuron populations and wireless sensor nodes for performing vocal output-triggered optogenetic manipulations without movement restrictions for experimental animals. I will then apply the developed tools to conduct optogenetic manipulations of corticostriatal neurons in freely moving, vocalizing birds in social groups. These experiments will shine new light into the role of corticostriatal neurons in shaping complex vocal behaviors.
Metal microstructures in four dimensions

The goals are:
1) to develop a universal laboratory-based 4D X-ray microscope with potentials in the broad field of materials science and beyond;
2) to advance metal research by quantifying local microstructural variations using the new 4D tool and by including the effects hereof in the understanding and modelling of industrially relevant metals.

Today, high resolution 4D (x,y,z,time) crystallographic characterization of materials is possible only at large international facilities. This is a serious limitation preventing the common use. The new technique will allow such 4D characterization to be carried out at home laboratories, thereby wide spreading this powerful tool.

Whereas current metal research mainly focuses on average properties, local microstructural variations are present in all metals on several length scales, and are often of critical importance for the properties and performance of the metal. In this project, the new technique will be the cornerstone in studies of such variations in three types of metallic materials: 3D printed, multilayered and micrometre-scale metals. Effects of local variations on the subsequent microstructural evolution will be followed during deformation and annealing, i.e. during processes typical for manufacturing, and occurring during in-service operation.

Current models largely ignore the presence of local microstructural variations and lack predictive power. Based on the new experimental data, three models operating on different length scales will be improved and combined, namely crystal plasticity finite element, phase field and molecular dynamics models. The main novelty here relates to the full 4D validation of the models, which has not been possible hitherto because of lack of sufficient experimental data.

The resulting fundamental understanding of the inherent microstructural variations and the new models are foreseen to be an integral part of the future design of metallic materials for high performance applications.
RNA-DIRECTED PACKAGING OF ENZYMES WITHIN PROTEIN PARTICLES

Protein nanoparticles encapsulate cargo proteins within an enclosure containing a protected chemical milieu. Encapsulation within such protected chemicai milieu enhances the employabiiity and performance of cargo proteins, particularly cargo enzymes, particularly within otherwise hostile chemical environments. Protein nanoparticles are assembled using shell proteins, such as viral coat proteins like Qß, in the presence of a bifunctional polynucleotide and the selected cargo protein. The bifunctional polynucleotide includes two aptameric activities that assist the disposition and retention of cargo proteins within the protein nanoparticle.
The graphene-based resistance temperature sensors application

Many fast-growing industries, such as aerospace, automotive, power generation, oil & gas require fast-response, light-weight, flexible, stable, large-area temperature measurement. These requirements are particularly relevant for the battery industry which faces renaissance and booming demand both, in electric vehicle (EV) market and grid battery storage. Managing of an even distribution of temperature is key to operating of EV batteries close to their performance limits. The detailed monitoring of the battery temperature can bring great benefits and prevent potential negative effects of overheating which implicitly improves the state of health, i.e., a lifetime of batteries as well as prevents their technical failures. 
Danubia NanoTech developed an effective solution - graphene temperature sensor which can be, in the form of extremely thin film, applied on any non-metallic substrate (e.g., foil, glass). The sensor confirmed the high accuracy in the industrial validation; it is very thin, ultra-light, and while produced by spray-coating, it is also very variable for application on flexible (curved) surfaces and practically unlimited in terms of coverage area. On self-adhesive film, the sensor's application is very easy, with lower material costs, with fast response and excellent accuracy. All these properties of our graphene sensor provide a great value proposition particularly for EV batteries and also for grid battery storage. 
Danubia NanoTech is a dynamic technology-based company with long-term expertise in R&D of advanced materials focused on applications of graphene and carbon nanotubes. We produce excellent quality graphene with applicability in flexible electronics and conductive composites. Currently, we focus on the development of graphene-based sensors (temperature, thermo-physical, strain) for applications in different industries. Research, development, and production of carbon nanomaterials are ISO 9001:2015 certified.
Self-StarMAS: A Multi-Agent System for the Self-Management of AAL Applications

Internet of Things (IoT) is used when real-world and everyday objects are connected to the internet. In IoT systems, things collaborate to bring valuable services to users, being one of its key applications the Ambient Assisted Living (AAL). The majority of devices used in IoT are handheld or lightweight devices that show symptoms of degradation, such as energy loss or failure of some network nodes. Consequently IoT-based systems demand the reconfiguration of their internal functioning in response to changes in their environment. IoT-based systems, and especially AAL systems, must behave as self-managing systems. We propose to develop AAL systems using agents enhanced with autonomic computing. Agent properties are adequate for developing self-management systems and additionally, naturally address IoT problems, such as heterogeneity and address ability. We present architectures and tasks for different devices that compose the system and validation results of the current implementation of our system.
Renforcer les compétences de la première destination touristique Cerkno

TD Cerkno possède un patrimoine culturel extrêmement riche. Les visiteurs peuvent se promener jusqu’à l’hôpital Franja Partisan, visiter la grotte de Wild Baba ou descendre sur le plateau de Sebreljska.
Restoring complete sensory ability for natural walking of amputees

Lower limb amputees use prostheses that do not restore sensory feedback during walking. The lack of feedback increases the risk of falls of amputee, who lose confidence in the prosthesis, overusing the healthy leg, have increased fatigue, and reduced mobility. Finally, they do not feel the device as part of the body and experience phantom limb pain (pain from the missing limb). Because of these reasons, users abandon the prosthesis, with consequent low reinsertion into the working society. SensArs has developed the solution to these problems: a neuroprosthesis that allows amputees to feel sensory feedback from the prosthesis as from a real leg. So far, 3 amputees have tested its technology. The main goal of GoSafe is to improve the device and finalize a pilot trial proving safety and efficacy. The pilot trial will give insights on potential technology or clinical protocol modifications to go through a pivotal study to get CE mark for the neuroprosthesis. To reach this goal, SensArs will optimize the neuroprosthesis and integrate it with the commercial prosthetic leg of Össur, then will go through preclinical validation and clinical pilot study at UCSC and CHAR with leg amputees. With the clinical pilot study, SensArs will apply for a pivotal study for CE mark (class III device), which will allow commercialization after the project. To guarantee the product market uptake, the consortium will run during the project a study to define the strategy to get reimbursement right after the CE marking. There are no commercial devices similar to the one proposed in GoSafe. The prosthesis restoring sensory feedback will enable users to feel the prosthesis itself as part of the body, to avoid falls, and so to increase confidence in the device, which will reduce counterbalancing movements, and fatigue. The GoSafe neuroprosthesis would be a novel therapy for phantom pain and would enable the National Health Systems to save up to €330’000 per amputee, connected to a sedentary lifestyle following prosthesis abandonment. The sensory feedback system will represent a new product in the prosthetics market (valued €1.4 billion in 2016), allowing its further expansion.
PREPACKAGED CHARGE FOR THE PREPARATION OF BEVERAGES

Prepackaged charge of edible material for the preparation of beverages, comprising a vessel container body (1, 101) provided, at the open end (111), with a sealing wall made of airtight material and provided on the bottom wall (201, 211) with the dispensing means (221) of the prepared beverage, being provided a second wall (231) In airtight material close to the said bottom wall (201, 211); said second airtight wall (231) being made with at least one layer of thermoplastic material (2321) facing the inside of the container body, being also provided a support of thermoplastic material (241, 301, 321, 331, 351) intended to be coupled by welding to the said layer of thermoplastic material (2321) of the said second wall (231), said welding being performed along a polygonal path (251) with at least two smaller angles of 90°, in a substantially coaxial position to said dispensing means (221) of the beverage.
Providing an open collaborative space for digital biology in europe

EOSC-Life brings together the 13  Biological and Medical ESFRI research infrastructures  (BMS RIs) to create an open collaborative space for digital biology.  It is our joint response to the challenge of analysing and reusing the prodigious amounts of data produced by life-science. Managing and integrating this data is beyond the capabilities of most individual end-users and institutes. By publishing data and tools in a Europe-wide cloud EOSC-Life aims to bring the capabilities of big science projects to the wider research community.  Federated user access (AAI) will allow transnational resource access and authorisation. EOSC-Life establishes a novel access model for the BMS RI: through EOSC scientists would gain direct access to FAIR data and tools in a cloud environment available throughout the European Research Area. 
EOSC-Life will make BMS RIs data resources FAIR and publish  them in the EOSC following guidelines and standards (e.g. EDMI). Overall this will drive the evolution of the RI repository infrastructure for EOSC and integration of the BMS RI repositories. EOSC-Life will implement workflows that cross disciplines and RI boundaries and address the needs of interdisciplinary science. Through open hackathons and bring-your-own-data events we will co-create  EOSC-Life  with our user communities , providing a blueprint for how the EOSC supports wide-spread and excellent data-driven life science research. EOSC-Life will address the data policies needed for human research data under GDPR. Interoperable provenance information describe history of sample and data to ensure reproducibility and adherence to regulatory requirements.
The goal of the EOSC-Life project is to make sure that life-scientists can find, access and integrate life-science data for analysis and reuse in academic and industrial research. EOSC-Life will transform European life-science by providing an open, continent-scale, collaborative and interdisciplinary environment for data science.
Tear Film Surface Quality With Rigid and Soft Contact Lenses

The aim of this study was to measure tear film surface quality (TFSQ) using dynamic high-speed videokeratoscopy during short-term (8 hrs) use of rigid and soft contact lenses.A group of 14 subjects wore 3 different types of contact lenses on 3 different nonconsecutive days (order randomized) in 1 eye only. The subjects were screened to exclude those with dry eye. The lenses included a polymethyl methacrylate (PMMA) hard, a rigid gas permeable (RGP; Boston XO), and a soft silicone hydrogel lens. Three 30-second long high-speed videokeratoscopy recordings were taken with contact lenses in situ, in the morning and again after 8 hrs of contact lens wear, both in normal and suppressed blinking conditions. Recordings were also made on a baseline day with no contact lens wear.The presence of a contact lens in the eye had a significant effect on the mean TFSQ in both natural and suppressed blinking conditions (P=0.001 and P=0.01, respectively, repeated-measures analysis of variance). The TFSQ was worse with all the lenses compared with no lens in the eye in the afternoon during both normal and suppressed blinking conditions (all P<0.05). In natural blinking conditions, the mean TFSQ for the PMMA and RGP lenses was significantly worse than the baseline day (no lens) for both morning and afternoon measures (P<0.05).This study shows that both rigid and soft contact lenses adversely affect the TFSQ in both natural and suppressed blinking conditions. No significant differences were found between the lens types and materials.