Dragon09/odtu_chatbot huggingface dataset:
strategies for breeding climate change resilient barley genetically equipped to optimized rootmicrobiome interactions

barleymicrobreed builds on the paradigm that crop resource efficiency and stress resilience can be significantly improved by optimizing the capacity of plant roots to efficiently interact with the existing soil microbiota we therefore propose to advance our mechanistic understanding of interactions between the crop plant genome root phenotypic traits and the rootassociated microbiota to identify novel breeding strategies for crops tailored to harness the benefits of the indigenous soil microbial diversitya holoomics analysis of functionally annotated barley genomes together with a catalogue of root microbiota assemblages and phenotypic data including drought responses of 600 barley varieties determined in field trials in austria lebanon and morocco will enable the identification of barley genome components microbiota members and root traits important for drought resilience barley genome regions putatively important for microbiota assembly and drought resistance will be validated by gene knockouts and causative effects will be explored using a combination of metabolomics metagenomics and root phenotyping in pot and rhizobox experimentsto improve root phenotyping we will develop tools including core break imaging systems software developments for gap filling in rhizobox phenotyping and models to infer seedling to mature root system architecturefinally with the knowledge of the genetic regulation of phenotypic root plasticity of barley lines we will implement strategies to create drought adaptive barley varieties with improved root systems and microbiomes a selection of lines based on drought responses microbiome assembly and root systems will be backcrossed into elite european lines and tested in field trialswe argue that breeding for crops tailored to harness the benefits of the indigenous soil microbial diversity rather than inoculating crops with plantbeneficial microorganisms will be a much more feasible and longlasting strategy
rbd dimer recombinant protein vaccine against sarscov2

the main objective of rbdcov project is to test the efficacy tolerability and safety of a new vaccine against different variants of covid19 based on the outstanding data generated using a recombinant protein developed by the consortium partners two different clinical trials will be run during the project duration to test the variants recombinant rbd protein vaccine codifying for beta and alpha sarscov2 variants in paediatric population and in immunocompromised adults the aim of the project is to focus not only on the current sarscov2 variants but also in the emerging ones as beta and alpha variants thus a continuous monitoring of the new emerging variants will be performed throughout the project to ensure that the platform is prepared to cope with the disease the platform used for the generation of the vaccines is adaptable to variants and will be ready to include in the design any other potential variant that could appear in short medium and large term preclinical data are already availablethe core of rbdcov consortium has been in close contact to the corresponding agencies and considering reflection paper on the regulatory requirements for vaccines intended to provide protection against variant strains of sarscov2 preclinical data supporting the first vaccine candidate can be extrapolated for the vaccines against the new emerging variants this create a unique opportunity for rbdcov consortium to generate the first rbd recombinant vaccine to be approved in europe this vaccine will be manufactured by an european technological company that will change actual paradigms and allow the really change to one health concept based on the close relationship between the animal world and the onset of certain infections in humans
sst sensors and processing horizon europe top4

this horizon europe grant is to be understood within a wider context on eusst where other grants are being executed simultaneously with the common objective of improving the eu autonomy on space surveillance and trackingin particular this top focuses on ri activities are necessary in the sensor domain both for radiofrequency ie radars etc and optical sensors ie telescopes and innovative wide field optical sensors contribution to a consolidated and efficient eusst sensor function improve coverage area geographical location and performance they can offer ensure an optimum evolution of the configuration and use of the eusst sensors network improved integration and connectivity of value added sensors ensuring their compliance to the minimum quality requirements including protocols procedures formats and calibration statusbased on the architecture and added value analysis carried out by eusst the following assets will be upgraded czshot tracking telescope in europe ess3tsr surveillance radar in europe frgraves surveillance radar in europe frgravesng surveillance radar in europe frtarot surveytracking telescope grkryoneri2 tracking telescope in europe grbakernunn survey telescope in europe ptradar tracking radar in europe ptsurv survey telescope in ocenania
stakeholdersdriven pathways for blockchain implementation in the agrifood sector

13 participants 11 beneficiaries and two affiliated entities from 7 eu and 1 third countries join forces for supporting the strategic research agenda of the future joint research program on the subject of blockchain by shedding light on the current partial and fragmented picture of block chain technology bct applications in the agrifood domain and by clarifying the benefits and opportunities which bct can concretely to stakeholders throughout the food chain offer the project intends to prepare the way for ri activities for the decade to come basing its assumptions on systematic monitoring and reviews of national european and international ri pilotsuse cases experiences and best practices and on consolidated and balanced stakeholder views the active involvement of users is required from the very beginning for the identification of needs and use cases which will be subsequently translated into operational requirements for services the goal of the project is to understand why communities ie users acceptreject blockchainbased projects the mistakes done by others for not repeating them the best and innovative practices in blockchain development in agrifood sector considering its complexity for arriving to shape different possible futures for bc application the project will investigate and discuss both technical aspects as well as nontechnical barriers to bcts deployment but also other issues fostering bcts deployment such as interoperability innovative business models standardisation and regulatory issues and will be at the base of white papers addressed to ec at the same time the project intends to provide to users some a framework of services and guidelines for empowering them in future bct implementation
removal of microplastics from the environment using autochthonous wastewaterderived microbial consortia

the accumulation of microplastics mps in the environment poses a great threat to the biosphere known and demonstrated conventional methodologies used in the treatment of mps in wastewater have several limitations therefore there is the need to develop new ecofriendly costeffective biobased mps polyethylene terephthalatepet removal strategies microorganisms can transform organic matter as well as remove pollutants through a chain of different catabolic reactions energized by the induction of nonstereoselective enzymes hence this project will be the first attempt to deploy microbial autochthonous consortia as an ecofriendly remediation technique and strategy in the removal of mps in the wastewaters however to overcome the limitations associated with cultivation and identification of mp degraders i propose the use of a natural microbial consortium that harbours a plasticdegrading microbial community in wastewater after an enrichment process thus in this project an enhancement of microorganisms with catabolic capacity to transform mps will be used for the development of a biobased tailored technology which represents the promising potential of this project the overall objectives of this project are to 1 characterize mps in wastewater 2 isolate autochthonous consortium of mps pet degraders in a short term enrichment experiment study the microbial communities participating in mps removal and identification of key genes in the catabolic process 3 select a microbial consortium with the ability to remove mps and study of the fate of mps in batch experiments 4 scaleup the process into a benchscale bioreactor to develop a bioaugmentation technology with a microbial native consortium based on their ability to degrade mps 5 assess the toxicity of the resulting effluent after mps process 6 verify the implementation and validate the design of the bioreactor calculating the effectiveness of the equipment through a predictive model
fostering agroecology transition in north africa through multiactor evaluation and networking

transforming agriculture in the context of climate change is a central challenge in northafrica the most foodimportdependent region worldwide and a climate change hotspot tackling these issues agroecology ae appears as an answer to meet both the challenges of global sustainability and local resilience in this context natae consortium brings together highlevel research institutions international organisations and ngos with strong experience on ae approaches and exceptional capacity to induce transformational change by informing policies and education natae project aims to foster the adoption of sciencebased locallytailored and codesigned ae strategies in north africa by creating a comprehensive and quantitative baseline on ae providing a shared understanding multidimensional performance measures and analyses of ae potential for meeting consumers demand on the market to achieve this goal natae will setup and inform a unique multiactor community of knowledge and capacity building on ae in the mediterranean with ground breaking findings on the performances of aepractices aep in north africa an original multidimensional multiscale evaluation framework covering dimensions currently overlooked and a replicable methodological guidebook will be designed an integrated modelling approach combining a biophysical a householdregional bioeconomic indicator modelling chain will be used to develop a unique integrated assessment of agricultural systems to assess the resilience of aepbased farming systems participatory approaches via living labs will be elaborated to develop test and capitalize alternative public policies and foster ae transitions an integrated group of dissemination activities will further test advance and communicate a range of existing ae innovations from farm to fork including innovative farm practices valuechain innovations and innovations in food system governance advancing their respective readiness level
digital innovation and data technology network for rangeland livestock farming systems

rangeland livestock farming systems rlfs despite facing challenges play a significant role in achieving the sustainable development goals in europe although rlfs have an important role in the transition towards the european green deal with the provision of crucial ecosystem services they still require support including extension services farmer to farmer network and participatory monitoring and evaluation the use of innovative technologies has an important role to play and take part of a wider bundle of measures required to improve the future viability of such farming systems digirangeland network aims to create and expand an innovative network about digital innovations and data technologies with actors farmers and other landusers facing challenges in rangeland territories at regional national and european levels based on a multiactor approach the project aims to increase knowledge sharing and mutual understanding between eu stakeholders and foster crossfertilization between rangeland areas actors around the use of digital technologies and innovations dti to achieve this partners in 10 countries will be involved in a setting up an eu network with farmers groups landusers 10 innovation and demonstration hubs and important stakeholders in the 10 ruralakis b identifying prioritising and analysing needs obstacles and expectations from farmers and landusers c identifying and analysing dti solutions matching the needs of the rlfs farmers and other landusers d evaluating and assessing solutions and barriers to foster dti adoption within rfls e improving knowledge level with a range of scaling activities demonstrations and training for farmers advisors students landusers partners will prepare and implement communication and dissemination activities through trusted channels to maximise the impact of the projects outputs
music as an invitation liveness in digital piano performances through participating audiences

this research investigates participation in digital musical performances as a way to enhance a sense of liveness ie the feeling of being connected to other people for the last 18 months digital concerts have become the norm due to the restrictions on social interaction during the pandemic yet such digital events often challenge the relationship between performer and audience by compromising the experience of liveness using participatory action research methods i will work with women and girls to collaboratively create online piano performances where i am the main performer audience feedback and my own reflections as the performer supported by literature review will inform knowledge about the intensification of the relational and affective aspects of the music experience and its impact on the sense of liveness my dual expertise as a musician pianist and qualitative researcher are essential here as they allow me to undertake research both on and through the topic by focusing research on audiences of women and girls i aim to address the specific lack of opportunities for these groups and challenge the traditional obstacles to participation in classical music in this way the project will contribute to positive change towards more inclusive music practices for the postpandemic and digitalised world research outputs will be a series of digital concerts which will be streamed via youtube and music festivals reflective short essays two articles to be published in peerreviewed journals a technical handbook and a book of personal reflections integrating researcher and audience perspectives this research aims to innovate through applying ideas and methods from areas such as music performance digital technologies participatory arts and gender studies this project will enable me with skills and competencies to become an innovative and socially engaged performer and academic who is a leader in my field and an inspiration for future generations
subject or object sinoamerican competition and european strategic autonomy

the intensifying great power competition between the united states and china has arguably become the structuring vector in international politics this project examines to what extent the european union eu is able to autonomously make decisions regarding its relations with the united states and china the key innovation is to present a comprehensive theory to explain to what extent and under what circumstances external or internal actors have the upper hand in informing european policy choices in sinoamerican competition assuming the existence of a correlation between the eus degree of unity and autonomy the latter is depicted as a relative and contingent conceptthe main hypothesis is that the eus degree of autonomy visvis china and the united states will be high in those policy areas where it enjoys exclusive competences moderate where it has shared competences and low where the competences rest with the member states i expect this to happen despite the high degree of issue linkage haas 1980 mcginnis 1986 between the different areas of eu external policy despite the fact that the united states and china will try to exploit europes dependence in some areas to extract concessions in others and despite the fact that the eu itself will try to build on its competences in some areas eg trade to expand its clout in others eg foreign and security policy sinatra pushes back against the conventional wisdom that the eu is either poised to become an autonomous subject or condemned to the status of mere object or battleground in sinoamerican competition by arguing that the eu will be subject and object at the same time and unpacking the mechanics of that tensionthe project draws on mixed methods research combining quantitative analysis of european american and chinese voting patterns and public discourse ie through the use of content analysis software and manual coding in a variety of international organisations and debates
spatial transcriptomics through the lenses of statistical modeling and ai

in recent years technological advances have made it possible to quantify the mrna expression of large numbers of genes while preserving the spatial context of tissues and cells these techniques collectively known as spatial transcriptomics are important because key biological processes depend on the physical proximity of cells and the spatial organization of tissues furthermore several diseases are characterized by abnormal spatial organization within tissuesdespite its early age spatial transcriptomics is rapidly becoming a widely used tool complementing singlecell rnaseq as the tool of choice to study gene expression in complex tissues eg in cancer research and neurobiology in addition to the gene expression measurements and the spatial localization of transcripts available data include images collected from the samples that can be used to learn celllevel and tissuelevel morphological features the main objective of this proposal is to combine transcriptomics spatial structure and morphology data to better inform key spatial transcriptomics analytical stepsspecifically we will enhance the comprehension of imagingbased spatial transcriptomics data by a characterization of the statistical properties of the data and a mechanistic modeling of the in situ transcriptional measurements combine imaging and tabular data to better define cell types and states through the use of statistical models and artificial intelligence develop an inferential framework to model the localization of transcripts within and across cells and of cells within and across samplesoverall this proposal will combine machine learning and artificial intelligence approaches with rigorous statistical modeling of transcriptomics data in a spatial subcellular context this will ultimately serve the biomedical community and provide a suite of tools that will help pave the way towards personalized medicine and computerassisted pathology
a robust realtime and 3d human motion capture system through multicameras and ai

the ability to reliably track 3d human motion in realtime is crucial for a wide range of applications across various fields such as healthcare entertainment industry and sports occupational ergonomics as the intersection of industry and healthcare could particularly benefit from such a solution as recent reports indicate that physical and cognitive ergonomics issues at work contribute to major economic losses in europe however the existing commercial human motion capture mocap systems often exploit multiple markers or inertial measurement units imus which in addition to their high costs suffer from many technical and usability issues these include lengthy setup times compromised user comfort and bothersome wearability needs and in case of imu based mocap systems large drifts and inaccuracies over time some of these issues can be dealt with by using visionbased human skeletal trackers however high vulnerability to occlusions and often the missing or inaccurate 3d tracking capacity have severely depreciated their reliabilityofuse for realworld applications these leave us with no existing market solutions for markerless comfortable robust economic and realtime 3d human motion tracking realmove aims to create such a solution by exploiting multicamera views and ai algorithms the system will be capable of tracking multiple people in the scene with high accuracy and in addition to motion tracking data be able to provide applicationdriven data services such as human factors realmove has the highest innovation potential to become a key player in the multibillion euros mocap and workplace safety markets in addition by providing quick and easy access to visionbased risk monitoring tools it can make a huge socioeconomic impact by improving the quality of life of the individuals at work while saving a large amount of money by cutting waste
general eigenstate thermalization in quantum circuits

understanding the dynamics of typical manybody quantum systems and the emergence of their universal thermodynamic description is both challenging and of paramount importance in various areas of physics including condensedmatter and quantuminformation theory as well as statistical and highenergy physics combining methods of those fields into novel interdisciplinary approaches getquantum general eigenstate thermalization in quantum circuits aims for establishing a general eigenstate thermalization hypothesis general eth and its connection to the mathematical field of free probability through the lens of multipoint correlation functions the project focuses on local quantum circuits which while native to quantum computing applications have emerged as minimal models for manybody quantum dynamics and have let to unique analytical insights in recent years within this setting the first scientific objective of this project is to identify universal properties of multipoint correlation functions and their dynamics this includes deriving exact results obtained via novel analytical tools as well as by numerical investigations based on new efficient numerical algorithms the second objective of getquantum is to establish the recently introduced general eth formulated in the language of free probability and its consequences in interacting manybody quantum systems modeled by local quantum circuits beyond the current paradigm of standard eth it aims at pinpointing correlations between matrix elements of physical observables and at confirming predictions of free probability by relating free cumulants a central concept of free probability with the dynamics of multipoint correlation functions hence general eth provides an intricate link between dynamical and statistical properties of manybody quantum systems getquantum will deepen our understanding of universal aspects of their dynamics and vastly impact the fields mentioned above