Dragon09/odtu_chatbot huggingface dataset:
policies and practices based on scientific research for reducing underachievement and early school leaving in europe

reducing underachievement in basic skills and early school leaving esl rates is at the core of the strategic and political priorities for the european commission this has become even more critical in a postpandemic era where students coming from lower socioeconomic status refugees migrants roma etc are not reaching the competencies to thrive in lifescirearly is determined to identify systematize and replicate successful policies and practices based on scientific research that has proven to reduce underachievement in basic skills including digital skills while fostering psychoemotional aspects and wellbeing this knowhow will contribute to reducing esl in europe enabling upward social mobility for the most vulnerable groups to this aim scirearly will 1 examine the determinants including the influence of highquality early childhood education and care ecec in learning outcomes 2 measure and verify the impact of these determinants on vulnerable groups identifying successful pathways to overcome it 3 map and replicate most successful practices in addressing low achievement in basic skills 4 develop a framework and an instrument for diagnosis and enhancing the quality of ecec to leverage quality learning outcomes for primary and secondary pupils 5 analyse and propose transferable and scalable political measures that have proven to reduce esl as a result scirearly will provide evidencebased findings to recreate and scale up optimal learning environments reducing underachievement from a preventive perspective especially for vulnerable groups this will be done from an interdisciplinary approach and mixedmethods design including multilevel quasiexperimental and life course perspectives the project relies on a participatory and dialogic approach that promotes the cocreation of scientific knowledge and solutions among educators students families scientists and policymakers ensuring the societal impact of the project
boosting trust in online media by instantly informing users about conflicts of interest

trust in mainstream media has been declining steadily across the world the trend is fuelled by the perception that news companies are not truly independent but serve the interests of owners advertisers or creditors many media outlets insulate editorial decisions from external pressures but ordinary citizens have no means to know hence distrust in a few bad apples risks extending to the entire industry the wisereader project aims to tackle this problem based on research carried out under the starting grant project mirage it proposes to create a web browser extension that allows online users to learn about the potential conflicts of interest faced by the news outlets the extension will identify companies and individuals featured in a news article as well as relevant connections between them and the news outlet it would then display the results using an intuitive system of coloured flags and offer comprehensive information about these connections on a dedicated website the project aims to empower ordinary citizens allowing them to discern what news sources and stories ought to be trusted it may also allow quality news outlets to distinguish themselves from others and improve their reputation and traffic
mitochondrial antiviral signaling in plants

rhizomania is one of the most economically devastating disease of sugar beet and is caused by beet necrotic yellow vein virus bnyvv emerging evidence indicates that mitochondria plays essential role in plant immunity and thus represents a promising target for the development of sustainable broadspectrum disease resistance in crops this project builds on the previous findings that bnyvv localize to mitochondria and this occurrence is related to the assembly of the virus moreover several nuclear genes encoding mitochondrial proteins appear to be repressed by a nuclearlocalized bnyvv p25 virulence factor savenkov unpublished in animals mitochondrial signaling in response to virus infection has been well studied but it has been overlooked in plants and still is an open field to find the potential targets for improved plant fitness against plant viruses mitochondria activate antiviral signaling in response to virus infection in animals but so far no such mechanism is known in plants the mitochondria exert its response via nucleus by a process called mitochondrial retrograde regulation mrr mitochondrial homeostasis translates pathogen infection into molecular mechanisms associated with chromatin remodeling thereby conferring resistance to pathogens mitochondria remodel chromatin structure via mrr and activate defense related genes to fight off the pathogen the rationale behind this proposal is discoveries from the hosts group showing that promoter elements of mitochondrial genes tim13 cyt c are the targets of p25 protein of bnyvv as was identified by chipseq unpublished data this project has the overarching aim to deepen our understanding of the mitochondrial events underlying antiviral response with the longterm goal to provide knowledgebased tools for improved plant performance under pathogen attack
advanced trustworthy ai and data solutions for individualised automated milking feeding of dairy cows

the agricultural sector has a big challenge producing more with fewer raw materials and less adverse effects on society production animals climate and biodiversity optimal use of resource is even more important now due to the imminent food crisis climatefriendly sustainable agriculture with care for natural resources is essential for our food production and quality of life today and for future generations automated milking systems ams were developed in the late 20th century under the perspective of reducing manual labour costs and improving quality of life for the farmers not only have these machines improved in harvesting milk efficiently but they also have the added ability to collect a greater amount of data about production milk composition cows health and behaviour this could allow producers to make more informed management decisions while in parallel reducing emissions and increasing animal welfarenevertheless currently available ams have important limitations in terms of optimising their operation dairy 40 addresses these challenges integrating and optimising ai data and robotics solutions to demonstrate how this combination will optimise ams production aspects and minimise adverse effects on society climate and biodiversity the approach will be demonstrated through realworld use cases of interest both for the farming sector and the food industry in terms of ai tools to be used the project will focus on the following novelties developing multimodal learning techniques to efficiently utilize multiple types of information for animal health overall animal status monitoring developing selfsupervised and novel data augmentation techniques to reduce the amount of labelled training data needed exploring novel explainable ai techniques to increase transparency of the system and eventually facilitate acceptance by the users including the farmer in the loop to build the cognitive abilities for the system
ai data and robotics ecosystem

ai data and robotics adr is omnipresent in our daily lives and key to addressing some of the most pressing challenges facing our society europe has excellent research centres innovative startups a worldleading position in robotics and competitive manufacturing and services sectors from automotive to healthcare energy financial services and agriculture while the essentials are present european adr is waiting for exploitation to achieve its full potential the adr ecosystem is inherently complex because many stakeholders at many different levels require a holistic strategy towards collaboration to be effective and efficient the adra association representing the private side of the adr partnership leverages this diversity through its founding organisations bdva eurobotics claire ellis eurai and channels it to the benefit of the european ecosystem the adrae csa proposal is set up in close liaison with adra association and includes it as a partner committed to sustain its outcomes adrae should be seen as the operational arm of the partnership to foster collaboration convergence and interoperability between communities and disciplines to advance european adr while safeguarding the interest of european citizens this is achieved by supporting the adr partnership in the update and implementation of the srida creating the conditions for an inclusive sustainable effective multilayered and coherent european adr ecosystem leading to increased trust and adoption of adr a more competitive supply and demand sides in the eu and raising private investments at the same timethe consortium is composed of leading industry and research organisations with significant expertise in all three disciplines all are involved in adra and the associations and partnerships shaping european research many of them are supporting the digitising european industry initiative from the ec participating in the constitution of digital innovation hubs network and digital platforms
development and demonstration of zeroemission propulsion technology on board ships using green hydrogen from liquid organic hydrogen carrier in combination with fuel cells at mwscale

shipah2oy project will develop a scalable green and sustainable technology for power and heat generation on board ships the concept is based on the combined use of hydrogen fuel cells fc and liquid organic hydrogen carrier lohc with efficient heat integration the developed fclohc powertrain will be demonstrated on board a vessel edda brint owned by ostensjothe shipah2oy project aims to achieve the following highlevel targets1 use of lohc as the hydrogen storage technology to allow use of existing infrastructure transport bunkering etc2 integration of the hydrogen power unit on board an existing and available ship and the demonstration of the efficient operation of the power plant using green hydrogen3 scalable system architecture for larger ships and power plants by integrating several 1 mw fclohc modules enabling power requirements well in excess of 3 mw4 a replication study for the developed fclohc system allowing easy replication in eg service vessels and ropaxvesselsbasis of the project is the strong commitment of the wide range of industry partners to realize zeroemission shipping the partners have an already preprepared vessel earmarked for the project and plans to retrofit several other vessels with fclohc systems after the first successful demonstration of the technology as the consortium covers the whole value chain from designoffices and classsociety to ship builders owners and operators efficient dissemination and exploitation of the results will be a natural outcome of the project
cryoclem in situ imaging of adenovirus stepwise disassembly

adenoviruses advs are very contagious viruses widespread in vertebrated human advs infections mainly affect children and immunesupressed people on the other hand advderived vectors nanocarriers and vaccines have turn out to be efficient therapeutic tools understanding advs disassembly mechanisms is vital to advance research in antiviral drugs gene therapies nanocarriers and vaccines adv particles metastability is key for surviving environmental conditions and cell defences but at the same time these particles should disassemble at the appropriate time and place during virus entry the particle size and the speed of the process challenges the visualization of these events inside the cell cryoclemav aims at providing unprecedented structural insight on the process of virus entry and disassembly by combining virology with the cuttingedge microscopy techniques correlative light and electron microscopy cryoclem cryoelectron tomography cryoet fibmilling and subtomogram averaging this approach will allow to recapitulate the process with a previously unreachable resolution and specificity in a near native context of the host cell cryoclemav is an ambitious project whose success will be firmly supported by merging my expertise in virology and super resolution microscopy with the host lab knowledge and resources in cryoem techniques and adenovirus biology outcomes of this project will contribute to the development of several cryoelectron microscopy techniques and to the field of adenovirus biology also impacting in the expanding field of adenovirusderived therapeutic tools all together will advance the research work of my host group benefit the host organization cnbcsic and boost my professional career
modelbased reinforcement learning for versatile robots in the real world

realrl proposes a path to autonomous robots that learn from experience by learning to solve new and challenging tasks and exploiting their specific capabilities they could become ubiquitous assistants to humans in an uncountable number of tasks current control strategies for robots are developed only for particular tasks and are not versatile to ensure their functioning it is necessary to have highly accurate physical models that precisely match all the essential aspects of the real world realrl follows a different path a learning approach to robot control the dominant direction in the field uses modelfree reinforcement learning methods that need an incredible number of interactions with the world often prohibitive for real robots as a bypass simulations are used but require detailed knowledge of all possible situations that the robot might encounter these problems are circumvented in realrl by proposing a modelbased approach models of the interaction with the world are learned from experience and will be used to plan and adapt behavior on the fly this approach promises to be much more dataefficient and allows to transfer of valuable experience between tasks fundamental challenges in modellearning safetyaware exploration and planning and higherorder reasoning are identified and presented here with concrete novel solution ideas such as a causal inductive bias for deep dynamics models riskaware realtime general trajectory optimization and differentiable discrete planning critical stepping stones such as probabilistic models and fast trajectory planning have just been developed by the community and the applicant by aiming at a generic learning method that can be used to control any robot rigid or soft with legs arms or other endeffectors for manipulation and locomotion tasks and make them improve with experience the proposal develops a solid basis for future robotic applications
random combinatorial designs

the objective of this proposal is to develop fundamental and influential research into combinatorial designs these objects have fascinated pure mathematicians for over 200 years and have also found many applications for example in biological experiment design or in the design of strong error correcting codes in order to transmit data securely the majority of research in design theory has focused on the existence and construction of designs however recent breakthroughs have opened up exciting new perspectives allowing for a much deeper understanding of these objects the aim of this project is to develop these new directions by adopting a probabilistic stance and studying random designs our key objectives explore the existence and statistics of global structures in large designs and the longstanding problem of efficient algorithms for random sampling of designs through this the project will foster connections between areas of pure mathematics in particular extremal and probabilistic combinatorics and the field of randomized algorithms in theoretical computer science in order to achieve the proposals objectives the researchers will build upon a range of powerful novel methods drawing on the expertise of the experienced researcher in absorption techniques and spanning structures and that of the host in rainbow structures and markov chains this will foster an exchange of knowledge between the two parties and greatly enhance the research potential of the experienced researcher this project thus provides a pivotal opportunity for the development of his career as a young scientist enabling him to push this exciting branch of design theory forward broaden his knowledge and cement himself as a prominent researcher in several disciplines
vessel advanced clustered and coordinated energy storage systems

new energy storage technologies can significantly improve the performance of batteries for zeroemission waterborne transport and reduce rd and operational costs vaccess brings together expertise on supercapacitors superconductive magnetic energy storage systems smes design and control of shipboard power systems power electronics lifetime cycle analysis and ship classification to increase the technology readiness level trl of hybrid storage systems ie combining a battery with either supercapacitors smes or both they will be integrated into an innovative dc shipboard microgrid to control flexibly the power sharing between the different energy storage technologies the proposed technologies are analysed from the components levels already tested and validated at trl3 and modelled into the vessels power system also using control hardwareintheloop simulators then the individual components are assembled together andintegrated into a realistic shipboard power system available at the etef facility of the university of trieste to reach trl5 business models and standardisation needs will be deeply analysed and measures to unlock existing barriers and will be promoted in parallel tothe technical knowledge generated from the project to ensure further exploitation of the project results and the definition ofthe steps to upscale the design of the vaccess system paving the ground for a fullscale demonstrator to be developed after the end of this project and bringing the proposed technologies closer to market
magneo advanced additively manufactured permanent magnets for new energy and mobility applications

magneos objective is robust and sustainable reefree permanent magnets pm for emergent energy mobility applications the concept hinges upon novel compositions of alnico heas undergoing similar spinodal decompositions processed by additive manufacturing am the recycling strategies developed will allow environmentally friendly repurposing of disparate metallic constituents with emphasis on co recovery the targeted properties of the new pms are bhmax 60 kjm3 for co 24 and bhmax 72 kjm3 for co35magneo will be realised through the following strategies 1 opensource modelling tools machine learning guided highthroughput digital experimental screening to accelerate the development of novel environmentally benign materials with compositions suitable for am throughout multicomponent alloy phase spaces 2 harness the competitive advantages conferred by am such as shape complexities and microstructure engineering in tandem with comprehensive heat treatment these will be crafting novel anisotropic microstructures characterized by higher coercivity culminating in bhmax values exceeding 60 kjm3the performance of the new pms will be verified for a lowspeed pm generators in wind turbines ship propulsion shafts b high speed 100 ms rotors in heat pumps and c abs sensors headlight systems in automotive the upscaling process will be conducted through technoeconomic analyses performed by the manufactures in synergy with the endusers this procedure will begin with a proof of concept at trl34 and will culminate with technology validation at trl6 magneo stands out as a fusion between accomplished multidisciplinary experts who will contribute to training and joint actions with other european teams to increase the competitiveness and sustainability of european industry by bringing innovative materials and new methods closer to the market while maintaining costeffectiveness of reefree products in consideration
permanent magnet network for the european transition

permanet is a sustainable ree innovation and supply network covering the full rare earth elements ree permanent magnet pm value chain it is structured upon 5 layers 1 three sustainable connected tech hubs segmented along the full ree pm value chain and organizing thematic collaborative rd and supply ecosystems 2 13 fully scalable innovations to reach trl7 and expand in scale and deployment range along the entire value chain 3 a structural layer of rd infrastructure equipment and services to fuel pilot and demonstration activities 4 five enabling engines addressing the key conditions for sustainable and competitive ree supply 5 all embedded within a single permanet network infrastructure with its own sustainable organizational modelthe network accelerates leadingedge innovations from ree extraction from mining tailings and hydrometallurgical processes to oxide reduction and innovative production processes all the way to the production of innovative pm and their testing by end users in industrial environment across 1 emobility 2 energy 3 industrial equipment permanet also secures key sources of ree such as leading mining projects from the eu and partner countries as well as end of life eol sectors weee ev etc the project relies on enabling activities ranging from strategic venturing to investment support to build suboptimal eu ree pm segments the project unlocks viable reserves of ree including unconventional sources and will demonstrate novel costeffective and environmentally sound ree extraction processing and separation routes as well as demonstrate the first eu hub for pm boosting circular pm technologies to deploy at market scale the project is ready to be fully integrated with other eubacked pm hubs and aims to grow into a fullyfledged paneu pilot and demonstration infrastructure to remain sustainable postfunding
science on the move from lab to streets school

science on the move from lab to streets school sciencescool is a twoyear project to be organized around the theme life in a science bulb 2022life outside the science bulb 2023 by the faculty of physical chemistry and institute of molecular genetics and genetic engineering in 12 cities and several rural areas in serbiathe objective of the project is to point out the importance of science for everyday life and to break the prejudice related to researchers by enabling direct contact between participants and researchers through attractive program that combines science and entertainment at the same time researchers awareness of the publics concerns related to their work will be raisedthe main topic of the project would be climate changes in accordance with the both eu and un missions and goals with special attention directed towards young audience in accordance with 2022 being the year of european youth the prepostevent activities to be organized will include science vans mobile teams of researchers dispatched to rural areas to perform hands on experiments with participants the event activities will include treasure hunt a set of hands on experiments whose successful completion leads to a scientific award and open daylab that became trademarks of the scimfonicom project during the years new activities such as scicircus and fascination by innovation will also be organised furthermore a special activity will be organized giving opportunities for successful researchers of serbia that won grants within highly competitive european calls to present their projects and their research cultural and educational institutions including belgrade city library center for talents and institute servantes are supporting the project