Dragon09/odtu_chatbot huggingface dataset:
natural traces in forensic investigations how the analysis of nonhuman evidence can solve crime

literally any crime scene contains animal plant soil microbial or environmental traces examples include pet hairs or saliva pollen and algae soil and soil organisms like bacteria or nematodes fungal spores insects and environmental traces in the form of environmental dna of any origin such biological traces can be found mainly on living people suspects victims on objects like cars or weapons and on bodies not just on the surface but also in their surroundings like single or mass graves or an aquatic environmentin the eu there is a lack of training opportunities in applied topics of forensic science at postgraduate level such as the qualitative and quantitative analysis of specifically such nonhuman biological traces while many eu countries have forensic laboratories that also such traces a much broader integrated knowledge base is needed built on close cooperation between basic research in academia and analysis and application in casework by forensic specialists natural traces aims to optimise the procedures for taking and analysing nonhuman traces in order to meet the everincreasing demands for identifying suspects and victims and to link traces to different places times or courses of action the results based on this need a statistical robustness that will also hold up in the courtroom under crossexaminationthe proposal aims for 10 phd students with a background in life sciences they will build their knowledge and experience in practical forensics in training schools provided by academic nonacademic partners and police academies or laboratories the training embeds biological evidence in a bayesian framework making it universally comparable with all other forms of evidence by applying novel probabilistic approaches to extract forensic useful information from metadata it is truly crosssectoral with secondments at endusers of the training eg police forces and joint supervision by pis from different countries
biobased and social innovation to revitalise european local communities

the aim of bioloc is to advance the role and impact of biobased and social innovation to revitalise european local communities to accelerate the allinclusive transition to a resourceefficient and circular biobased production and consumption system bioloc will blend methodological work with circumstantial actions focused in 12 european regions it nl es de gr bg sk sl hr hu ro cz that have been selected based on their circular biobased economy cbe deployment potentials bioloc identified the following specific objectives as most urgent and attainable through an envisaged set of csaactions i to raise awareness ii to revitalise local economies iii to advance inclusive business models iv to increase opportunities v to valorise knowledge and enhance capacities and vi to sustain innovation ecosystems bioloc will address these nontechnical challenges from the perspective of local development to elaborate on concepts and solutions that will favour a positive cascading effect on communities by fostering a participatory and inclusive approach to developing resilient innovative biobased activities open to the contribution of socially disadvantaged or marginalized groups bioloc will prompt and drive the establishment of permanent publicprivate multistakeholder communitiesofpracticedeployment hubs that will pioneer social trialogue on an innovative and inclusive cbe as a leveraging factor for sustainable and resilient local development in the broader context of the new green deal the extensive awarenessraising and outreach activities that will address the wider population including the socially disadvantaged marginalized groups will allow bringing an ancillary contribution to the expected impact of more informed and engaged stakeholders and endusers including primary producers and consumers
enfield european lighthouse to manifest trustworthy and green ai

enfield will create a unique european centre of excellence that excels the fundamental research in the scientific pillars of adaptive green humancentric and trustworthy ai that are new strategic and of paramount importance to successful ai development deployment and acceptance in europe and will further advance the research within verticals of healthcare energy manufacturing and space by attracting the best talents technologies and resources from worldclass research and industry players in europe and by carrying out toplevel research activities in synchronisation with industry challenges to reinforce a competitive eu position in ai and create significant socioeconomic impact for the benefit of european citizens and businesses enfield will develop maintain scaleup and sustain a vibrant european network on ai composed of 30 consortium members from 18 countries including toplevel education and research organisations large scale businesses smes and public sector representatives jointly addressing critical issues of research and innovation frontiers in this new topic of the european ai lighthouseenfield will provide high impact outputs such as 75 unique ai solutions algorithms methods simulations services data sets and prototypes 180 scientific highimpact publications and 200 peerreviewed presentations four strategic documents namely the common research roadmap and vision the dynamic safety and security risk assessment framework the white paper and the gender and ethics framework the exchange and innovation schemes planned in open calls which will grant financial support to 76 individual researchers and 18 smallscale projects education and training activities such as summer schools and hackathons and a set of welldesigned outreach methods and activities will further contribute to the enfield community engagement enlargement and continuity
goaloriented networking for space

the accelerated pace of space exploration interplanetary and nonterrestrial connectivity calls for scalable and efficient communication network architectures that can achieve endtoend effectiveness for increasing numbers of bursty flows occurring in applications such as remote inference monitoring and automation this is made challenging by the variable delays and disruptions that sometimes preclude realtime communication and endtoend acknowledgements we propose to tackle this fundamental challenge by leveraging insight and methods from the recent progress in the area of goal or taskoriented communication by setting three fundamental goals 1 principles and decision metrics for goaloriented sampling and multiuser scheduling that can handle highly variable delay processes that contain memory 2 random access policies for massive machinetype communications that replace exogeneous arrivals with goaloriented traffic shaping and 3 flow control mechanisms that exploit the crosslayer operability at application and link layers of delaydisruption tolerant networking dtn protocols through achieving these objectives we will enable effective data flow on space networks using a fraction of the resources with respect to the stateoftheart which will provide the required scalability for the growth of interplanetary and nonterrestrial networks ntn to ensure the timely transfer of results to the space community as well as the beneficial impact to the upcoming 6g standard go space includes collaborations with specialists in aerospace and satellite networks and experimentation on realworld satellites and dtn protocols
vertical exchange in the southern ocean

mitigating global climatic changes due to human influences is of paramount importance in the coming decades historically the global ocean has played a critical role in this process by taking up the majority of the excess heat and about 30 of the anthropogenic carbondioxide co2 emissions from the atmosphere the largest share of this uptake process occurred through the subduction of waters in the southern ocean that sequester heat and carbon in deeper layers of the ocean yet global climate models have their largest biases in this region and difficulties in representing its past climatic changes thus their future projections bear large uncertainties in the potential of the southern ocean to continuously provide such a mitigation service vertexso addresses this challenge by studying vertical transport processes improving their representation in models and developing novel methods to continuously monitor the vertical exchange in order to reach these goals this project performs simulations with a regional ocean model that is able to directly resolve convective plumes and assesses their impact on vertical carbon exchange we then scale the insights to a global level by improving parameterisations of vertical processes in an earth system model and by investigating their impacts on global climatic changes facilitated by most recent advances in remotely observing the southern ocean high latitudes we explore tracers of convective plumes in subsurface data and integrate these observations with satellite data to assess surface density stratification changes the latter forms a new measure for vertical exchange that serves as a benchmark for model simulations and a tool to monitor the potential of the southern ocean to take up and release co2 and heat through this combination of observational data with multiscale model simulations vertexso advances the understanding of vertical exchange in the southern ocean and how its changes affect the global climate
sound insulation prediction and optimization

with urbanization accelerating on a global scale airborne and impact sound insulation have become key performance quantities of building elements unfortunately acoustic requirements do not naturally align with structural and thermal requirements achieving good sound insulation is difficult especially for innovative more sustainable building systems which are typically lightweight there is an urgent need in the construction sector for adequate sound insulation design prediction software in the erc starting grant virbacous new dedicated numerical methods for sound insulation prediction have been developed that possess the required combination of a high prediction accuracy and a high computational efficiency by doing so they open up the possibility of reliable modelbased design optimization the aim of this erc proof of concept project is to bridge the gap between the fundamental numerical methods from virbacous and the construction sector
twin transition and changing patterns of spatial mobility a regional approach

twin argues that major global transition processes such as green and digital transition require to constantly redefine the changing nature of regional attractiveness for capturing shifts in the drivers and effects of spatial mobility it builds on the idea that twin transition affects regional attractiveness or otherwise the drivers of human mobility offering an opportunity to leftbehind areas to attract new population based on characteristics related to living and environmental conditions and the changes it brings on job accessibility it argues that this creates new spatial mobility patterns which tend to develop new equilibria between the different forms of mobility permanent circular temporal affecting both the old and the new sending and receiving regions it uses biga data and agentbased modelling to analyse the impact of those changing patterns of spatial mobility on eu regions and envisage policies to counterbalance their effects in terms of demographics society welfare system and labour market the project has a fourdimensional scope i it will analyse the changing drivers of spatial mobility based on human mobility behaviour encompassing the structural changes caused by twin transition in the definition of regional attractiveness ii it will examine the new balance rising between the different forms of spatial mobility permanent circular temporal and their effects on eu regions following the changing nature of regional attractiveness iii it will use agentbased modelling to capture and assess the impact of changing patterns of spatial mobility on eu regions in terms of demographics society welfare system and labour market and iv it will use the insights to envisage placebased policies for harnessing the positive outcomes of twin transition specific attention will be placed on the ways in which the disruptions caused by the covid19 and brexit have affected freedom of movement between eu regions
the role of an epsteinbarr virus infection in the pathogenesis of multiple sclerosis

multiple sclerosis ms is the most frequent neuroinflammatory disease despite new treatments that slow the progression of the disease patients with ms pwms frequently evolve towards major disability the pathogenesis of ms is controversially debated but the recent discovery that infection with the epsteinbarr virus ebv is a major risk factor will radically change research avenues the behindms consortium ambitions to understand how ebv promotes ms development to this end we have established a multidisciplinary team that will for the first time draw a comprehensive map of the interactions between the virus and all arms of the immune system in the blood and brain of pwms and how they ultimately lead to neural damage in the context of genetic risk factors we will also develop an in vitro model of ms that integrates the virus the immune system and brain cells reprogrammed from the blood of the same pwms thus for the first time we will study in the laboratory the complex molecular mechanisms that give rise to ms finally we will develop an animal model of prodromal ms that would be a game changer for our understanding of ms pathogenesis and allow testing of promising new treatments the pivotal knowledge developed in this project will empower the entire healthcare value chain to work towards better clinical management of ms a detailed understanding of ebvms interactions combined with newly identified biomarkers and study models will open the doors for researchers clinicians and industry to capitalize on the mechanisms underlying ebvms interactions and develop new diagnostic preventive and therapeutic tools and guidelines throughout the project an open dialogue with the main stakeholder representatives will ensure a mutual understanding of patient needs and project results ultimately by contributing to improved risk analysis stratification and treatment strategies behindms has the potential to reduce the burden of ms on society
stop 2030 towards the interruption of transmission of soiltransmitted helminths promoting implementation of research results of a fixeddose combination of coformulated ivermectin and albendazole

soiltransmitted helminths sth remain a significant public health problem with recognized obstacles for control and elimination with the current benzimidazole regimens in mass drug administration mda campaigns renewed targets from who for 2030 include elimination of sth morbidity in preschool and school age children psac sac increased country governance and financial support and a strongyloidiasis control program 2030 has also been targeted by who for controlling ntds to attain the sustainable development goals the current proposal aims at accelerating the implementation of an innovative health technology a fixeddose combination fdc tablet of coformulated albendazole and ivermectin with adequate safety and significantly superior efficacy against t trichiura in a registrational randomized clinical trial this trial is being conducted in ethiopia kenya and mozambique with the guidance of ema and sponsored by edctp stop projects with a phase ii trial completed and a phase iii currently recruiting this project stop2030 seeks to complement the results of the safety and efficacy trial with a fieldbased safety and effectiveness clinical study acceptability studies in ghana and kenya modelling and costeffectiveness exercises the resulting information will be consolidated to build a multidisciplinary package for policy making and who guidance with the support of advocacy and communication activities to reach stakeholders and maximize the exploitation and impact of the fdc for sth control and eliminationthe consortium assembled to execute the stop2030 proposal combines expertise in complementary fields from program assessment and implementation through ministries of health in subsaharan african countries advocacy state of the art technology leadership in clinical research and a pharma that has shown commitment for generating access to drugs against ntds and has recently obtained who prequalification for generic ivermectin
dna microfactory for autonomous archiving

we live in a society that produces and requires more and more data every year it has become apparent that our current data storage strategies are not adequate to meet this increasing demand the quest for robust highdensity sustainable and economically viable data storage solutions has highlighted the enormous potential and suitability of dna data storage however to date none of the solutions have considered a comprehensive vision of anchoring this technology in standardised archival frameworks that will support longterm storage besides most dna data storage applications are limited to specialist laboratories due to complex and expensive protocols our project entitled dnamic dna microfactory for autonomous archiving proposes an autonomous solution based around a low energy consumption microfactory that will be developed for endtoend dna data archivingfrom encoding to decoding via synthesis storage quality control and sequencing among others the microfactory is interoperable and future proof thanks to technology block that can be easily modified or replaced our solution will be compliant with the open archival information system oais reference model iso 14721 to enable the implementation of disaster recovery strategies critical for long term storage we propose a novel duallevel encoding scheme this approach allows the development of selfcontained data that include easily changeable metadata and unalterable data
piloting a cooperative open web search infrastructure to support europes digital sovereignty

web search has become an essential technology and commodity driving not only future innovations but forming a backbone for our digital economy regrettably currently few noneuropean gatekeepers control web search which creates a biased onesided information access centred around economic success rather than the needs of citizens or european values and jurisdiction this onesided ecosystem puts pressure on many small web contributors from science economy art culture media and society requiring them to optimize their content for a few gatekeepers a system greatly benefiting the gatekeepers thereby creates a vicious cycle which leads to lockedin effects and a closed search engine marketto promote an open humancentred search engine market and provide a true choice to users when selecting search engines based on their own preferences openwebsearcheu proposes to develop and pilot the core of a european open web index owi and the foundation for an open and extensible european open web search and analysis infrastructure owsai our approach is based on four objectives namely 1 to develop a core suite of search discovery and analytics services to create maintain and utilize the owi 2 to develop relevant search engine verticals and new search paradigms demonstrating the impact 3 to establish a network of european hpcinfrastructure research and business organizations to pilot the owsai based on europes values principles legislation ethics and standards 4 to stimulate an ecosystem around the owi the envisioned infrastructure will not only contribute to europes sovereignty for navigating and searching the web it will also empower europes researchers innovators and business to systematically tap into the web as business and innovation resource without paying huge upfront costs this will be particularly crucial for future ai innovations and relevant for other european infrastructure like eg the european open science cloud gaiax
towards river restoration conviviality

nature and river restoration are high on the political agendas the eu biodiversity strategy and nature restoration law stipulate ambitious goals however in practice river restoration projects including barrier removal implementation of ecological baseflows and others are contested different human and nonhuman actors have diverging ideas about what the future of rivers should look like underlying are multiple ontologies about what rivers are can and should be and epistemologies that define how rivers can be known through innovatively analysing river restoration as a political and contentious encounter of multiple ontologies and epistemologies this project goes beyond the stateofthe art based on the study of restoration initiatives in three rivers in spain the project will generate new interdisciplinary knowledge about the complexities of river restoration rigorous and critical academic analysis will be combined with the exploration of pathways for constructive engagement with local actors the project will organize restoration design labs to develop methodologies for codesigning just and robust river conviviality the project goes beyond mainstream formats of multistakeholder platforms through a focus on the politics of design and design justice that includes humans and nonhumans alike this is a highly ambitious undertaking which is made feasible through a careful methodological and conceptual setup the placement at the university of girona and the secondment at the university of twente will allow the researcher to develop a wide range of knowledges and professional skills while she will use the project results and her expertise to stimulate transdisciplinary and critical debate in academia and practice the nonacademic placement with the catalan water agency allows to make the generated scientific knowledge actionable and vice versa to let action inform continuous knowledge production about just river restoration
green responsible privacy preserving data operations

from edge to cloud big data analytics is growing fast and its energy consumption has become a reason of concern for national grids and they generate significant carbon emissions the glaciation project aims to address this issue through energyefficient privacy preserving data operations by developing a novel distributed knowledge graph dkg that stretches across the edgecorecloud architecture reduction in the energy consumption for data processing will be achieved through ai enforced minimal data movement operations glaciation will achieve significant power consumption reduction through optimizing the location where analytics are carried out and where data is placed the projects metadata framework will provide tools that incorporate privacy and trust aspects in the data operations glaciation is demonstrated on three relevant industry settings which benefit from optimized data movement and power consumption reduction more specifically glaciation use cases cover publicservice manufacturing energy and enterprise data analytics