SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Single point of attachment communications empowered by cloud computing and big data analytics running on-top of massively distributed and loosely-coupled heterogeneous mobile data networks

To handle the unprecedented demand for mobile data traffic, different vendors, operators and research programmes have aimed to develop radio access technologies (RATs) that boost physical-layer link capacity, utilize millimeter wave radio, or further densify network topology. Notable steps have also been made towards shifting baseband processing from the (currently) ultra dense network edge to a central location where coordinated resource management will be performed. Nonetheless, the today’s mobile network ecosystem includes vastly heterogeneous, evidently overlapping (in coverage) and fully isolated (in operation) attachment points that still handle most of the functions necessary for mobile data communications independently. Aiming to meet and surpass the requirements set for the 5G-and-Beyond mobile data network, in SPOTLIGHT we will create a fully-integrated and multi-disciplinary network of Early Stage Researchers (ESRs) that will analyze, design, and optimize the performance of a disruptive new mobile network architecture: the SPOTLIGHT architecture. This architecture promises to break performance limitations present to the currently loosely inter-connected, resource-fragmented and isolated in operation mobile network ecosystem, by transforming the currently loosely-coupled multitude of heterogeneous and multi-layered RATs to a flat coalition of massively distributed antenna sub-systems that are optimally orchestrated by a cloud-empowered network core. Our primary aim will be to support for the first time self-including yet ultra-reliable radio communications at the edge network. To further reduce response time and enhance network resilience, all functions necessary for mobile communications will be subject of i) massive parallelization in cloud platforms at the network core and ii) big data analysis running on-top of a virtual pool of shared energy, radio, computing and storage resources at the network.
Transition pathways for Malaysian paddy farmers to sustainable agricultural practices: An integrated exhibiting tactics to adopt Green fertilizer

Sustainable agriculture mainly depends on the efforts and abilities of farmers that depend on the rational decisions and actions taken by them with the help of their practical knowledge and information. Recent advances in the field of nanomaterials such as graphene possess the significant potential benefits for both agriculture and the environment. Therefore, for promoting sustainable agriculture farmer’s outlook needs to be more towards the social approach rather a technocratic approach. The purpose of this research is to examine paddy grower’s perception of productive paddy farming in peninsular Malaysia. So, for this study, a sample of 74 paddy farmers had adopted to have their insights and opinions about predefined sustainable practices of farming. Altogether 86 items were factor analysed and eventually, there are five main factors, policy, namely, environmental, economic and social and communication which was acknowledged to construct a perception of sustainability by considering the sustainable agricultural practices among Malaysian paddy farmers insights were characterized mainly into three groups like low, medium and high-level insights. This was considered as the dependent variable of the ordered research model, whereas socioeconomic characteristics and communication behaviour variables were used as a variable. The results of this research model reflected that communication channels, environmental factors, socio-psychological, socioeconomic aspect, and innovation attributes education level, age, participation in farming events and productive using of knowledge the perception of sustainable farming lead to the adoption of GFT among Malaysian paddy farmers. The government should be more focused towards policy linked with the issues like illegal paddy entry, plus social elements such as increasing the level of socialization and communication between stakeholders, researchers, a scientist in the region and giving out some special programs related to farming.
Psoriasis in Pregnancy

Psoriasis in pregnant women requires special considerations in view of its course during pregnancy and postpartum period, the possible adverse outcomes, and the restricted basket of therapeutic measures that can be used. Most studies of pregnant psoriatic women have shown that psoriasis remained unaltered in approximately 25 % of pregnancies, improved in 50 %, and worsened in 25 %. In contrast, during the 3-month postpartum period, approximately 30 % remain unchanged, 10 % improved, and 60 % deteriorated. Psoriatic arthritis improved in the vast majority of pregnancies. Impetigo herpetiformis—a rare generalized pustular psoriasis—precipitated by pregnancy has been reported repeatedly. Moderate-to-severe psoriasis, especially when associated with comorbidities, may carry an increased risk for cesarean delivery, chronic hypertension, low birth weight, and recurrent abortions. For mild and limited disease, the use of topical mild-to-moderate–potency steroids (category C) may be used. For moderate-to-severe psoriasis, UVB phototherapy appears to be safe and effective. Anti-TNF alpha agents (category B) should not be given beyond 30 weeks of pregnancy.
METHODS AND COMPOSITIONS FOR DETECTING BANNED SUBSTANCES

The present invention relates to methods and compositions thereof for detecting banned substances and doping agents. The present invention further relates to measurement of gene expression to detect doping events such as the use of recombinant human Growth Hormone (rhGH).
enHancing thE sociaL Inclusion Of neetS

One of the main challenges in the Mediterranean region is to reduce the high rates of NEETs and prominent skills mismatch which currently prevail. Curricula for skills courses are often not based on a strategic analysis of the local economy and/or consultation with local enterprises in order to determine sectors of potential growth capable of absorbing new trainees. HELIOS will tackle this issue focusing on the Blue and Circular Economy (BaCE), identified as an economic sector with great potential for regenerative economic growth among NEETs. The project will provide curricula for innovative targeted and tailored skills training courses oriented towards specific needs of the BaCE labour market and the needs of NEETs, based on direct interaction with local enterprises. This will be achieved through soft skills coaching and mentoring actions, as well as the creation of e-learning tools and methodologies supported by new technologies to facilitate skills learning for NEETs and women.
Comparative analysis of statistical models in rainfall prediction

Rainfall prediction is an important part of weather prediction. Compared to conventional methods predicting rainfall rate, the approach applying historical records and data mining technology shows obviously advantage in computing cost. Many excellent works have been done attempting to build predicting model with data mining methods, however, most of them just test the predicting accuracy on data set at one specific location. In this paper, we propose two criterions to evaluate the performance of prediction ability. 11 representative subsets with different location are chosen from China Meteorological Administration (CMA)'s open dataset. Every subset is belong to one specific observing station of CMA. Three classification algorithms are tested on our prediction model. We compare varies of combination of observing station feature and classification algorithm (Naive Bayes, Support Vector Machine and Back Propagation Neural Network). In the end, prediction accuracy of different subsets are sorted through typical features of stations (Latitude, longitude, altitude, average temperature and the prior probability of rainfall) to find their influence on prediction accuracy.
Integrated modular energy systems and local flexibility trading for neural energy islands

The de-centralization of electricity generation requires equally de-centralized and affordable solutions to integrate more RES, increase the security of supply and decarbonize the EU energy future. The combination and unique integration of de-centralized storage with technologies for local energy system optimization, including demand response, electric vehicle charging optimization and synergies with other energy vectors at the local level, can offer a cost-efficient pathway (in comparison to high-CAPEX grid upgrade investments) for local energy systems optimization in presence of high volumes of volatile and intermittent RES, since huge amounts of currently non-utilized flexibility can be unleashed to ensure optimal congestion management and effective tackling of local instabilities and imbalances. MERLON introduces an Integrated Modular Local Energy Management Framework for the Holistic Operational Optimization of Local Energy Systems in presence of high shares of volatile distributed RES. Optimization in MERLON applies to multiple levels spanning optimal coordination of local generation, with demand and storage flexibility, as well as flexibility offered by EVs and CHP Plants to facilitate maximum RES integration, avoidance of curtailment and satisfaction of balancing/ ancillary grid needs. MERLON will enable the realization of novel business models, allowing local energy communities to introduce themselves in local flexibility markets, while paving the way for the realization of novel Microgrid-as-a-Service models, assigning to local DSOs the role of “Aggregator of Aggregators” for the provision of added value services to the overlay distribution grid.  It equips local stakeholders (DSOs, energy cooperatives, prosumers) with innovative and highly effective tools for the establishment of robust business practices to exploit their microgrids and dynamic VPPs as balancing and ancillary assets toward grid stability and alleviation of network constraints.
Auotmatic digital biometry analysis system for musculoskeletal disorders rehabilitation

Musculoskeletal disorders affect more than 80% of the world population and are one of the most important causes of disability in elders (e.g. rheumatoid arthritis or osteoporosis). Currently, these anomalies are evaluated by Physiotherapists (PT) that use traditional physical examinations to establish suitable rehabilitation plans. Several support tools have been developed recently to obtain faster and more reliable results. However, these tools are either too expensive and voluminous (i.e. multiple cameras) or insufficiently accurate to perform the necessary body measurements (i.e. wearable sensors). PhysicalTech is a technological company specialized in using computer vision techniques for the analysis of body postures.It has designed and developed ADiBAS, an affordable, compact, fast and flexible system that will get rid of the current systems limitations. ADiBAS uses Microsoft KinectTM to obtain the position of specific body markers in a 3D space, which are then analyzed and presented to the PT through proprietary software.

Current prototype is already able to perform a static analysis of a patient's posture and has been validated by several therapists in Spain and France. These early adopters have also asked for some improvements, which will be incorporated in the frame of this project: (i) include dynamic postural analysis, (ii) implement medical protocols to monitor patients over time and (iii) define specific patterns for specific disorders.

With ADiBAS, PhysicalTech wants to achieve the following objectives by 2020:

• Implement a market strategy to reach new EU and international markets
• Obtain 1,24M€ in revenues by selling 150 units and 220 licenses in at least 3 countries (Spain, France and Germany)
• Improve the company’s team capabilities by incorporating 6 persons with complementary profiles (technical, business, commercial)
Qustec: international, interdisciplinary and intersectoral doctoral programme in quantum science and technologies

QUSTEC offers 39 early-stage researchers interdisciplinary, intersectoral and international training in the field of quantum science and technologies (QST). Coordinator is the European Grouping of Territorial Cooperation (EGTC) Eucor – The European Campus that consists of five universities that are located in the trinational research area of the Upper Rhine, at the border between France, Germany and Switzerland. For QUSTEC, the Eucor Members University of Basel, University of Freiburg, University of Strasbourg and the Karlsruhe Institute of Technology are joined by IBM-Research in Zurich. The QUSTEC training programme is in line with the European Charter for Researchers, the Code of Conduct for the Recruitment of Researchers and the EU Principles for Innovative Doctoral Training. Fellows can choose their position among the offer of the partner organisations and will be enrolled in a doctoral programme of one of the partaking universities. They will be selected in an open, transparent, merit-based procedure based on international peer review. All fellows will be offered a generous 4-year employment contract with the corresponding social security provisions. An individual training panel in a three-tier training programme will supervise them. With a budget of 9 139 308,48 Euro and an overall duration of 5 years, the QUSTEC programme offers one call and one reserve call for doctoral candidates from the science, technology, engineering and mathematics (STEM) field. The scientific focus lies on the six scientific areas of quantum electronics, artificial quantum systems, quantum nano devices, non-equilibrum quantum systems, quantum resources, and quantum simulation.   The Cofund support will serve as nucleus for early-stage research career training, create synergies among the partner institutions and contribute to Europe’s leadership role in the emerging field of QST.
Innovative materials for the teaching of physics as a support for initial training and as a tool for teachers

This project envisages the planning, validation and publication of material to be used for initial training and as a tool for physics teachers; this material should also support educational innovation in mechanics, fluid mechanics, physical optics, quantum mechanics and thermodynamics. Innovative prototypal proposals are planned and implemented in the field of experiments and models of physical processes; educational routes are also developed, to overcome the main learning difficulties and to foster the construction and formalization of physical concepts. The aim is thus to produce material to be used on the net, and also to offer the opportunity of exploiting proposals developed in the academic environment. In particular, the material is worked out taking into account the disciplinary issues which can bring about learning difficulties for the students, together with the experimental strategies and model construction methods which can be used to cope with the difficulties. Attention is also paid to the identification of interconnections between different problems, to interdisciplinary links and to the use of new technologies (in particular, new information and communication technologies). The current project implements educational proposals and prototypal material concerning fluid physics: phenomenological approaches to modeling in fluid physics, experiments and models to understand mechanics, thermal states and processes, experiments and models for the study of physical optics and proposals for the teaching of quantum mechanics. Some proposals concern only high schools, others are conceived of as routes leading from primary school to the end of high school. The construction of formalization processes is also stressed, together with the role played in such processes by modeling and experimental activities which use ICT.
POEAS: Automated Plant Phenomic Analysis Using Plant Ontology

Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological processes associated with gene lists. Plant phenomic enrichment analysis will be useful for performing new experiments to better understand plant systems and for the interpretation of gene or proteins identified from high-throughput experiments. Plant ontology (PO) is a compendium of terms to define the diverse phenotypic characteristics of plant species, including plant anatomy, morphology, and development stages. Adoption of this highly useful ontology is limited, when compared to GO, because of the lack of user-friendly tools that enable the use of PO for statistical enrichment analysis. To address this challenge, we introduce Plant Ontology Enrichment Analysis Server (POEAS) in the public domain. POEAS uses a simple list of genes as input data and performs enrichment analysis using Ontologizer 2.0 to provide results in two levels, enrichment results and visualization utilities, to generate ontological graphs that are of publication quality. POEAS also offers interactive options to identify user-defined background population sets, various multiple-testing correction methods, different enrichment calculation methods, and resampling tests to improve statistical significance. The availability of such a tool to perform phenomic enrichment analyses using plant genes as a complementary resource will permit the adoption of PO-based phenomic analysis as part of analytical workflows. POEAS can be accessed using the URL http://caps.ncbs.res.in/poeas .
DATA TRANSMISSION MEANS AND METHOD

Disclosed are transmission means and method for transmission of digital data. The transmission means include a transmission line having a driver end connected to a driving circuit and a receiving end connected to a receiving circuit, each said end having an adjustable termination means connected thereto On the driver end of the transmission line said adjustable termination means is incorporated in the driving circuit, while on the receiver end of the transmission line said adjustable termination means is connected in parallel with the receiving circuit. Thus, both the reflections produced on the ends of a transmission line and the reflections resulting from discontinuities within a transmission line will be terminated.
Scalable and efficient production of functionalized, high-performance solution-processable graphene-materials

The worldwide increasing need for resources and energy as well as the foreseeable depletion of fossil fuels has led scientists into a race towards finding cleaner, more efficient and sustainable technologies. Graphene is believed to be able to play a crucial role in these developments due to its outstanding properties like excellent conductivity, mechanical strength, flexibility and chemical stability. A possible large-scale application is foreseen in polymer composites, where next to increased mechanical stability, graphene can introduce additional functionalities such as conductivity, antistatic properties or flame retardancy to specialty and commodity polymers. In addition, the potential to integrate cheap graphene-based, printed sensors, actuators, or networking capabilities into every-day products opens up completely new fields of application (e.g. the Internet of Things vision). Current industrial preparation techniques are available to provide graphene at large scale but the materials suffer from drawbacks in terms of processability, which is why despite the great potential, only a very limited number of graphene-enhanced products are available on the market. Recently, we were able to demonstrate a novel technology for the functionalization of graphene. With this approach, we are now focusing to produce functionalized graphene with tailorable properties and improved processability. This breakthrough will open up new possibilities and prospects for the application of graphene. To exploit the potential impact of this approach we are aiming to prove the usability of our functionalized graphene in different applications in cooperation with experienced partners from industry.
FAMILY OF FIXATION DEVICES WITH VARIABLE TAPER

According to the prior art, there is a multiplicity of drilling and length families by fixation diameter recognition, contrarily to cylindrical smooth portion fixations for which a single tool is not sufficient. The person skilled in the art must plan the adequate tool and device for each thickness of a member to be clamped, which represents an important tool cost and also a time loss due to the change of tools. The purpose of the invention is to adapt the taper ratio (C1; C2) of the device (1, 20) based on the thickness to be clamped (12, 31). Preferably, the taper ratio of the bushings ranges between 1 and 4 %. Accordingly, using three to four reference sets of devices having the same outer diameter (16A, 16C) but a different taper ratio, it is possible to clamp any potential member thickness with modifying the bore diameter of members to be assembled.
Development and market uptake of an innovative type of micronized dehydrated carob

The main objective of DEMICROCAROB project is the development and commercialisation of micronized dehydrated carob flour by means of an innovative and sustainable process based on a dehydration process using IR electromagnetic radiation and a specific milling process. DEMICROCAROB product has better properties than current products in the market, low humidity, steady microbiologic profile and without chemical additives. DEMICROCAROB preserves the original nutritional properties and active principles of raw carob and increases the lifetime of the product. As a summary, the purpose of DEMICROCAROB project is to develop and commercialise a new natural ingredient with functional properties (antioxidant, energetic, anticarcinogenic, antidiabetic, gluten free, etc.) from carob pulp. DEMICROCAROB project will commercialise raw carob flour (superfood) as an ingredient in functional food, sport food, diabetic food, coeliac food, vegan food and food supplements markets.
GPs are much more than gatekeepers

The only healthcare professionals who can care for the whole person

Coining the term “gatekeeper” to describe the GP’s role in the NHS was a disaster. It creates an image of the real health service being elsewhere—in that shining citadel yonder, perhaps—with the humble GP huddled in a hut, simply lifting the barrier for those who need to be let in.

And, once you start thinking about GPs like that, you begin to wonder whether someone else couldn’t do the job just as well. Nurses, maybe; paramedics; physician assistants; or even computer algorithms or internet search engines.

How should we think about GPs? For one thing, we are medical interpreters, steeped in the biomedical model, yet equally fluent in the ways patients communicate about, and understand, their health. …
Véronique Lochert, Marc Vuillermoz y Enrica Zanin, dirs., «Le théâtre au miroir des langues. France, Italie, Espagne. XVIe-XVIIe siècles» / Claudia Demattè, Eugenio Maggi y Marco Presotto, eds., «La traducción del teatro clásico español (siglos XIX-XXI)»

Reseña de Véronique Lochert, Marc Vuillermoz y Enrica Zanin, dirs., Le théâtre au miroir des langues. France, Italie, Espagne. XVIe-XVIIe siècles, Droz (Travaux du Grand Siècle, 48), Ginebra, 2018, 687 pp. ISBN: 9782600058551. / Claudia Demattè, Eugenio Maggi y Marco Presotto, eds., La traducción del teatro clásico español (siglos XIX-XXI), Edizioni Ca’ Foscari (Biblioteca di Rassegna iberistica, 20), Venecia, 2020, 402 pp. ISBN: 9788869694912; ISBN (ebook): 9788869694905.