Dragon09/odtu_chatbot huggingface dataset:
the integration of technology with medical and healthcare education a leadership program

as emerging technologies are transforming the way we approach medical and healthcare education it is imperative that our trainees are at the forefront of the development of new tools and digital platforms while simultaneously becoming fluent in these technologies in the insideinsight project we build a training network for young professionals making them versed in educational technologies 3d visualisation and collaborative working while equipping them with a wide range of transferable skills this is attained by bringing together researchers from biomedical sciences computer sciences educational sciences biomedical engineering medical technology and bioethics as well as partners from the industry the research focuses on the development implementation and validation of xrenhanced educational tools for biomedical and health sciences this is achieved by 1 developing evidencebased technologyenhanced learning tel materials and platforms building upon our track record in this domain 2 using a theoretical framework to evaluate how the implementation of tel materials impacts effective learning and knowledge retention and 3 to identify the elements that are needed to maximize these effects by integrating disciplines and sectors we go beyond the stateoftheart and develop evidencebased xr learning environments that are effective futureproof and tailored to the needs of diverse learners the project addresses eus open education policy creating learning materials that are free and accessible to all at any time this will facilitate remote learning taking student diversity in all its aspects into account at the same time this interdisciplinary and intersectoral network creates diverse highlevel training opportunities for the proposed doctoral candidates providing the trainees with a broad range of skills that will empower them to become the leaders of tomorrow
fostering opportunities towards slovak excellence in advanced control for smart industries

the project aims at increasing the research and academic prospects of slovak university of technology in bratislava slovakia stuba and at initiating the evolution of stuba into a modern reputed excellent institution that performs highquality research in advanced automatic control educates topquality scholars and industrial practitioners and is successful in active dissemination and exploitation of its research and innovation efforts for this purpose stuba teams up with two renowned research groups in automatic control from ru bochum germany rub and pisa university italy unipi the specific goals of the action are to reinforce the collaboration with the two research groups from western europe to intensify research in advanced automatic control to open up new collaboration channels through academic and industrial networking to train excellent youngsenior researchers and project managers and to effectively disseminate and exploit the research results of stuba the unique features of the project are adoptionamendment of internal research projectrelated rules and procedures and develop project management toolbox research efforts aiming at the continued creation of highquality research results and software tools establishment of a series of guest scientific and academic lectures exchanges and training of project managers and research junior and senior personnel organisation of conferences and invited sessions seminars with industry and annual summer schools preparation and implementation of a new phd curriculum at stuba establishment of an academicindustrial research and innovation cluster
regional project development assistance for the uptake of an aragonese circular economy

the region of aragon together with local and european partners aims to support the uptake of the aragonese circular economy ce through a new project development assistance service that aims at accelerating the private funding of ce projects in the region the resource project regional project development assistance for the uptake of an aragonese circular economy resource gathers partners all along the value chain gac group impact maximisation is the project coordinator ceeiaragon the regional a reference centre of aragon for the development and consolidation of technologybased business projects will support gac in cocoordinating the project project partners involve the government of aragon policy alignment ances links to private funders aitiip technical support to projects european business network to liaise with a large array of european region and the ccri and university of leiden for expertise on circularity assessment the overall implication is that implementing a change from a linear to a circular business model involves significant risks which necessitates derisking in combination with a learning environment providing some financial support is essential investors and lenders need to learn about and assess better if financing such business investments in circular transitions will pay off so that they ultimately can take over the role of providing risk capital resource aims therefore at cocreating a project development assistance pda solution which reinforces circular economy projects supports innovative business models and investment schemes to help them raise funds from the private market in aragon in this project 9 pilot projects will seek funds for an investment of 20m the approach developed in the project aims at feeding from european best practices and replicated in other regions resource is focussing on the aragon region and will last 36 months
understanding frailty towards a future of healthy ageing

with falling birth rates and increasing life expectancy we are an ageing society 20 of boys and 25 of girls born in 2019 are expected to reach their 100th birthday this would be good news if it were not for the fact that healthy life span has not kept pace with increasing longevity and now on average adults spend the last 1520 years of life in ill health frailty is a major component of ill health in old age and refers to an enhanced vulnerability to stressors such as falls surgery or infections which was demonstrated clearly in the mortality data for the covid19 pandemic the transition from robust health to frailty is a critical factor in the loss of independence and places increased pressure on health and social care all of this has led governments to prioritise the enhancement of healthspanthe doctorate network on understanding frailty towards a future of healthy ageing union is a multipartner joint doctoral research training network with the overall aims of educating 13 early stage researchers dcs advancing the current understanding of frailty and providing innovative solutions on how healthy ageing can be achieved union brings together world leaders in a range of relevant disciplines frailty ageing biology and ageing medicine inflammation immunosenescence immunometabolism stem cell biology with stateofthe art technologies including mass spectrometry metabolomics advanced imaging artificial intelligence crisprcas9 libraries spectra 35colour flow cytometry global and conditional knockout mice this technological excellence is applied to the clinical situation through unique longitudinal human ageing and frailty cohorts longitudinal assessment of agerelated multimorbidity in animal models and innovative multidimensional frailty indices in humans together this integrated activity will provide the highest quality training and research environment in our rapidly ageing society
next generation of trustworthy agridata management

entrust brings together 16 leading research institutions and enterprise from 5 different countries across europe to establish a doctoral network that will train a cohort of 11 doctoral researchers drs in an intersectoral international and interdisciplinary setting with the aim to establish a new generation of data executives these graduates will have obtained a phd and are able to take on leading roles in academia industry or policy sector they will be experts on agridata governance sharing data in a fair transparent and trusted environment entrust demonstrate how agridata from farmers can be made available governed and exploited with benefits shared in a fair way entrust will enable drs to excel in their future career perspectives in the intersection between computing information systems and social science and thus provide the drs with enhanced career perspectives combined with an innovationoriented mindset and creativity thereby forming a new generation of data executives entrust provides the foundation for doctoral training programme on agridata governance that will set a standard on including gender dimension and sustainability aspects within phd training entrust also addresses current challenges of data governance in agriculture and farming and will provide scientific results on 1 adoption factors of data technologies to allow farmers to unlock data potential 2 on enhanced data governance practices to ensure a fair and trustworthy agridata space and 3 on new types of innovative business models for fair value sharing this is combined with network training and research and outreach to maximise the project impact entrust provides input in science data governance and agricultural and many other sectors entrust supports the european data strategy foreseeing european data spaces as the key instrument to democratize the access to data and unlock its full value in particular for the agrifood sector
hybrid neuroscience based on cerebral and muscular information for motor rehabilitation and neuromuscular disorders

the overall objective of the hybridneuro csa is to create the bases and support for longterm wellstructured and integrated research and innovation partnership in the field of hybrid neuralmachine interfaces between slovenia a widening developing european country and sweden united kingdom and spain well established european countries with high research impact the addressed hybrid neuralmachine interfaces utilize noninvasively recorded cerebral and muscular signals and can be used forobjective assessment monitoring and rehabilitation of neuromuscular disorders the consortium is composed of university of maribor um chalmers university of technology cut imperial college london icl and technical university of catalonia upc all four partners are experts in biomedical signal processing in the hybridneuro project ums expertise in musclemachine interfaces bottomup approach to neuromuscular investigations will be complemented by the excellence of cut icl and upc in emerging research avenue of brainmachine interfaces topdown approach to neuromuscular investigations and neurophysiology high expertise in analysis of cerebral signals braincomputer interfaces evoked potentials brain connectivity and inverse cerebral modelling makes cut icl and upc the optimal leading institutions to enhance the scientific and technological capacity of umhybridneuro aims to foster the development of research excellence at um and in lessdeveloped eastern slovenian region through a career forming of earlystage and senior researchers b increasing the attractiveness of um for visiting researchers c improving project proposal and management capacity at um d forming new and strengthening old collaborations between industrial clinical and research institutions in slovenia and abroad with um and twinning partners in sweden the uk and spain and e increasing the impact and visibility of neuroscience and neuroengineering in slovenia
partnership for the assessment of risks from chemicals

parc is an euwide research and innovation partnership programme to support eu and national chemical risk assessment and risk management bodies with new data knowledge methods networks and skills to address current emerging and novel chemical safety challenges parc will facilitate the transition to next generation risk assessment to better protect human health and the environment in line with the green deals zeropollution ambition for a toxic free environment and will be an enabler for the future eu chemicals strategy for sustainability it builds in part on the work undertaken and experience acquired in past and ongoing research and innovation actions but goes beyond by its vocation to establish an euwide risk assessment hub of excellence to contribute to several expected impacts of destination 2 living and working in a healthpromoting environment parc will organise the activities to reach three specific objectives an euwide sustainable crossdisciplinary network to identify and agree on research and innovation needs and to support research uptake into regulatory chemical risk assessment joint eu research and innovation activities responding to identified priorities in support of current regulatory risk assessment processes for chemical substances and to emerging challenges strengthening existing capacities and building new transdisciplinary platforms to support chemical risk assessmentthe partnership brings together ministries and national public health and risk assessment agencies as well as research organisations and academia from almost all of eu member states representatives of directoratesgeneral of the ec and eu agencies involved in the monitoring of chemicals and the assessment of risks are also participating parc will meet the needs of risk assessment agencies to better anticipate emerging risks and respond to the challenges and priorities of the new european policies
autoforestation mode on

at the current deforestation rate it is estimated that there will be no forests left in between 100 to 200 years as such restoring woodlands has become a priority for nations but remains a massive challenge worldwide destruction is easy but forest restoration has inherent problems of scale speed efficiency and cost the modest results of massive reforestation projects show that the current stateoftheart solutions cannot get the job done fast enough forestry is significantly behind compared to other sectors in digitalization precision and efficiencyforest maker is a newgeneration integrated automated planter platform an allinone solution that performs the entire planting and data collection process without stopping guided by software for the creation of a digital twin of forest for precise and easy management
neural basis of rhythm categorization how does the brain make sense of musical rhythm

when we listen to music recognizing a wellknown rhythmic pattern and moving our body along seems like a natural and effortless task yet these widespread human abilities are far from trivial due to the sheer diversity and variability of possible rhythmic inputs that may stimulate our sensory organs how does the brain categorize a particular sensory input as an instance of a particular rhythmic pattern one view which dates back to darwin is that rhythm categorization is driven by fixed mechanisms anchored in the ancient subcortical parts of the brain however recent behavioral research argues that categorical perception of rhythm is a complex flexible function possibly relying on evolutionarily newer plastic cortical networks the current project scrutinizes these views by combining an innovative methodological approach with highresolution neuroimaging techniques electroencephalography and magnetoencephalography this novel approach will be used to unravel how different brain regions contribute to the transformation from faithful encoding of stimulus physical properties towards internal rhythmic categories moreover neural categorization processes will be probed in participants with developmental dyslexia to assess their contribution to generalized rhythmic abilities which are impaired in this population the results are expected to provide key insights into the neurobiological mechanisms underlying perceptual categorization of rhythm and their role in driving the universality yet remarkable diversity of musical rhythms observed across cultures likewise the outcomes of this project are expected to improve our understanding of the role of rhythm categorization processes in language development and its disorders such as developmental dyslexia with implications for the improvement of diagnostic and therapeutic tools
nonlinear metasurfaces with 2d materials exploring their properties utilizing quasinormal modes

the regular rising demand for faster wireless communication ie larger spectral bandwidths was anomalously boosted recently due to the change on working habits of the europeans who nowadays more and more work from home or become digital nomads optical metasurfaces offer this required high bandwidth combining it with easy fabrication flexibility and advanced functionality rendering them a potential candidate to encounter this demand in wireless optical communications despite their large application span wavefront manipulation beam steering perfect absorption the design of optical metasurfaces is sometimes counterintuitive and computationally cumbersome especially when more advanced functionalities are targeted nonlinearalloptical control typically realized by resorting to contemporary material options such as the 2d materials platform quarte aims to present a coherent modal computational framework for the analysis and design of linear and importantly nonlinear metasurfaces realized with 2d materials demonstrating advanced functionalities and alloptical control the proposed modal framework based on the concept of quasinormal modes ie the natural modes of leaky and lossy cavities will be capable of efficiently handling periodic systems metasurfaces gratings consisting of 2d materials and possessing linear and importantly nonlinear responses and functionalities furthermore as a modal technique the proposed approach is capable of revealing the true physics that govern lightmatter interaction especially in the more obscure nonlinear regime allowing for fast efficient and optimal designs with physical intuition and understanding of the involved physics and interactions the realization of quarte research targets will be performed by the researcher in the laboratoire photonique numrique et nanosciences lp2n a joint research unit of centre national de la researche scientifique cnrs
wet horizons upgrading knowledge and solutions to fasttrack wetland restoration across europe

wetlands are key biodiversity hotspots that provide numerous ecosystem services such as water purification flood control and climate change mitigation due to their capacity of sequestering carbon and modulating the atmospheric concentrations of greenhouse gases despite their ecological and economic importance wetlands are disappearing at an alarming rate and are among europes most endangered ecosystems with less than 20 remaining in good ecological conditionwet horizons will provide the critical flying start for the challenge of enhancing wetland restoration using a holistic approach it will boost crucial wetland knowledge and develop sound tools and approaches for fasttracking large scale restoration actionthe project will improve the current data available from pristine drained and rewetted peatlands floodplains and coastal wetlands model the effects of typical restoration measures under variable conditions and analyze the potential socioeconomic impacts finally delivering guidelines and best management practices wet horizons will involve citizen science for data collection and will develop digital tools for upscaling wetland restoration including an app for the visualization of wetland status and a decision support system for policy makers this will enable to choose best pathways in wetland restoration minimizing tradeoffs including hotspot priority lists where the ecological and biodiversity benefits are greatest with minimum investment the results will be available in open access repositories to maximize their use and outreach there will be a constant dialogue with policymakers and stakeholders before during and after the project to groundtruth the findings and ensure that the tools support countryspecific decisionmaking processes the results of the project will be used to promote feasible and more ambitious legislation towards protecting and restoring european wetlands to increase benefits for climate and biodiversity
drug repurposing with artificial intelligence for muscular disorders

according to world health organization to date fewer than 6 of rare diseases rds have an approved treatment option in the light of this observation it appears crucial to develop disruptive approaches that allow to find treatments for multiple rds to achieve this goal dreams will start from 5 rare neuromuscular disorders nmd that share common pathophysiological characteristics related to dysfunctions of autophagy and desmin disorganization using skeletal muscle cells derived from induced pluripotent stem cells skmcipsc dreams will i identify shared biomarkers of the 5 diseases and ii perform a high throughput drug screen on all 5 diseases through a first artificial intelligence ai based solution the output of the drug screening will be used to find drug targets shared between the diseases a second ai based solution will be used to find drug candidates repurposable drugs and new molecular entities for these shared drug targets a third aibased solution will be used to find additional diseases that could be treated through the shared drug targets in order to extend the indications for the most promising drug candidates following their discoveries the promising drug candidates will be tested for efficacy and safety in both ipsc and mouse models of the 5 nmds and additional diseases in parallel dreams will design an adaptive clinical trial to prepare the final stages of drug development of these novel drug candidates with multiple indications together these technological and conceptual innovations will allow the dreams consortium to i develop therapies to treat multiple nmds and related diseases ii to create a novel clinical design that generates a regulatory pathway for drugs that treat heterogeneous groups of patients suffering from rds iii to further the scientific understanding of commonalities in rds and iv to create a reusable drug development platform to discover safe and effective treatments for rds in general
assessing the risks of plant pathogen resistance evolution for the success of microbemediated biocontrol

microbemediated plant pathogen biocontrol has been suggested as an environmentally friendly alternative for agrochemicals to increase global food production while biocontrol bacteria have been shown to suppress the growth of plant pathogenic bacteria via the production of antimicrobials it remains unclear whether pathogens can escape this by evolving resistance the main aim of this proposal is to experimentally test whether plant pathogenic ralstonia solanacearum bacterium can evolve resistant to pseudomonas protegens biocontrol bacterium in the tomato plant rhizosphere i will also test if pathogen resistance evolution results in coevolution and increased antimicrobial activity of the biocontrol bacterium and if microbial adaptations will affect how both bacteria interact with the tomato plant potentially shifting plantmicrobe interactions along the parasitismmutualism continuum virulence vs plant growthpromotion to achieve this i will learn to use a novel experimentalevolution system that allows direct tracking of bacterial adaptation in the rhizosphere of tomatoes over successive plant generations training will also be provided to quantify bacterial adaptation using a combination of microbiological assays genomics metabolomics and plant assays the proposed work will help to assess the potential risks of plant pathogen resistance evolution for the longterm efficiency of microbemediated biocontrol it will also improve fundamental understanding of the rapid microbial evolution in an agriculturally relevant model system and help identify potentially novel antimicrobial compounds for future crop protection