Dragon09/odtu_chatbot huggingface dataset:
protecting mental health in times of change

europe is in a time of dramatic change war economic crisis climate change migration digitalisation pandemics ageing and demographic change place increasing stress and pressure on our societies to adapt to fastchanging situations particular vulnerable groups in the general population are especially at risk of being disadvantaged by dramatic societal change of experiencing particular stressors and of suffering further negative impacts on their wellbeing including mental healthmembers of mentbest have researched created and delivered communitybased interventions to reduce depression and suicidal behaviour these interventions have been implemented and proven effective in 120 communities across 17 eu countries building on this experience and intervention framework eaad 4levelintervention the mentbest consortium will a characterise the scale of the changerelated mental health challenges b work with patients healthcare and other stakeholders to identify interventions and tools that can best build resilience and maintain mental health c combine these interventions with an adapted and broadened eaad 4 level intervention into a comprehensive communitybased intervention combina d deliver and validate combina in five model regions across five countries with particular analysis of the benefits for vulnerable groups an innovative addition will be the rct of appbased selfmonitoring and selfmanagement technologies for mental health which use ai and n1 longitudinal statistics to create individualised predictive models and provide users preventive and selfmanagement supportafter validation and process evaluation enhanced combina will be a readytouse package which can be adopted throughout europe and beyond mentbest will inform a comprehensive communicationdissemination and policyinput programme to maximise impact building on our relevant experience at all levels from public outreach to government and eu policy
safe transition to digital assistants for aviation

the goal of the project safeteam is to progress on the human factors aspects on the use of digital assistants to aviation including a deeper understanding on the technology and processes that will facilitate the adoption of ai tools and integration into operations enhancing human cognitive abilities and potentially automation safeteam is not purely concerned with the technical development of ai applications for aviation but rather focuses on those aspects and characteristics of integrating such digital assistance ai tools that will ensure efficient and safe interaction with human operators the efficiency accuracy of the ml algorithms and ai solutions is of course of relevance to the research but the core objective of safeteam is to facilitate the transition to digital assistants and ultimately airun operations from a human factors and safety perspective the project will also look into approval and certification issues concretely on aspects related to the human ability to operate sophisticated ai tools and explainability of ai operations the project main goal of developing new humanmachine interaction concepts will run along important technical challenges required to reach trl6 demonstrating several concrete use cases in relevant environments placen human operators at the core or the research particularly leveraging the past work done on data infrastructures the safeteam project will provide relevant environments integrated with the use cases to be able to demonstrate the different ml algorithms and the human interactions with the enhancing awareness or automation case studies presented
biosolution for global mineral crisis and increased food production without chemicals

ekolive is the first and leading provider of a new ecological bioleaching method innobiotech for the ecological release of elements and the degradation of organic materials this innovative technology replaces hazardous mining and processing methods removes metals from industrial minerals in an ecological and economical way and gives various industrial wastes a second life at the same time ekolive thus eliminates environmental hazards and cleans contaminated sites in addition the process creates a biofertilizer from the liquid residue that can completely replace hazardous pesticides positively influences the taste of crops and increases plant growth and yield by up to 100 and the dry mass of plants by up to 400 for safe and healthy food production and sustainable agricultureekolive faces two challengesthe raw material challenge the worldleading processing industry in the eu contributes to the transition towards a resourceefficient sustainable society in line with the eu 2030 agenda for this a sustainable supply of suitable raw materials is essential however despite enormous under or untapped potentials of domestic primary and secondary resources europe is heavily dependent on imports simply because there is a lack of suitable economic and ecological technologies to tap themthe challenges for a transition to sustainable agriculture namely the reduction of the excessive use of chemical fertilizers and pesticides these are not only dangerous to humans in many ways but are also the cause of soil degradation killed soil microflora unhealthy and weak plants contaminated food and drinking waterto answer these challenges to promote the circular economy and to save resources innovative economically viable and environmentally friendly techniques are required ekolive is the first to offer a corresponding biotechnology that can be used to make both mining and agriculture more environmentally friendly and sustainable
fetal growth restriction perinatal outcome decision support improve perinatal outcomes in earlyonset fetal growth restriction by rationalizing the decision of timing of delivery

earlyonset foetal growth restriction 32 weeks gestation is a severe pregnancy disorder that affects an estimated 15000 european pregnancies annually and puts the babies at risk of severe morbidity and mortality the underlying mechanism of the disorder is placental insufficiency leading to failure to meet the foetal metabolic and respiratory demands the first leading to the growth disorder the latter leading to fetal demise birth of the foetus prevents further damage from the intrauterine environment but exposes the neonate to the challenges of severe prematurity when women are admitted to the hospital with this complication of pregnancy the obstetrician monitors the progressive signs of placental insufficiency and decides to expedite birth when the risks of foetal demise outweigh the risks of prematurity currently there is lacking evidence how to weigh all prognosticators in this balance therefore it takes place in the black box of the obstetricians mind in fgr pods fetal growth restriction perinatal outcome decision support i aim to develop and validate a groundbreaking decision support tool that will aid the obstetrician with objectively determining the optimal timing of birth the decision support tool will integrate a combination of foetal and maternal prognosticators and can be implemented in electronic patient charts provided as freeware centres that have implemented the tool will feed back pseudonymized patient data in order to continuously refine the model also within fgr pods i will perform innovative analysis including machine learning of fetal heart rate signals and of serially measured biomarkers to pick up placental respiratory failure these studies will further our understanding of the foetal pathophysiological mechanisms resulting from placental insufficiency and will potentially identify targets for therapeutic interventions
selective induction of pyroptosis in acute myeloid leukemia cells with vectorized dpp9 inhibitors

dpp9 dipeptidyl peptidase 9 is a cytosolic serine protease it recognizes and cleaves nterminal dipeptides containing proline at the penultimate position the enzyme is currently receiving strong international attention after it was reported that dpp9 inhibition induces inflammatory cell death pyroptosis in acute myeloid leukemia aml cells pyroptosis is a lytic form of cell death that also causes a pronounced local upregulation of the innate immune system this is of particular interest to leukemia treatment because the immune response to leukemic cells is strongly suppressed very recently however reports have been published that identify other noncancerous cell types that also undergo pyroptosis upon dpp9 inhibition this raises questions on how selective and safe dpp9 inhibition can be as a therapeutic strategy in aml the host reported the first selective nanomolar dpp9 inhibitors in 2023 and also discovered the first dpp9degrading protacs unpublished data pyrovectors mission is to selectively unleash these molecules pyroptosis induction potential against aml cells by delivering them towards these cells with vector approaches given the general lack of knowledge on how to optimally target small molecules to aml cells three molecules that recognize aml cells will be compared as vectors for dpp9 inhibitors a monoclonal antibody an aml cellpenetrating peptide and a sialic acid analog dpp9 inhibitors that are covalently linked to these 3 ligands will be investigated in terms of internalization and pyroptosis induction in cells furthermore aml selectivity and therapeutic potential in vivo will be characterized with the ultimate aim of validating the approach as a safe and effective therapeutic strategy for aml overall we are strongly convinced that this project can be an essential step toward a patientfriendly application of dpp9 inhibition or degradation in aml
measuring neural dynamics with labelfree optical multidomain recordings

the growing societal burden of brain diseases is one of the most significant health challenges globally to help diagnose or treat these pathologies there is widespread agreement that a deeper understanding is needed on the origin of neural disorders linked to electrical neural activity neuromodulators dynamics and molecular alterations to this aim the combination of optical methods with genetically expressed molecular probes has enabled great advances in understanding brain mechanisms however the existing tools fail in capturing a comprehensive picture of multifaceted neural dynamics in addition the translational applications of these technique are hindered by the need for exogenous reporters as a result there is a major scientific and technological gap that obstructs the full exploitation of cutting edge neuro technologies to relieve the impact of brain diseases in the human population to bridge this gap this project proposes an innovative approach to monitor neural dynamics in the mammalian brain using label free light matter interactions without exogenous reporters to do this i will develop a radically novel strategy harnessing the temporal and spectral dynamics of light stimuli interacting with the brain through photonic neural interfaces enhanced by integrated optical nano modulators this approach will surpass the limitations of existing techniques in monitoring the physical complexity of neural signals i will aim at three main objectives o1 developing label free molecular sensing in arbitrary deep brain regions o2 developing label free multifunctional ultrathin alloptical probes for dissecting the local microcircuitry o3 developing label free largescale alloptical systems for multifunctional recordings at the global brain scale
rural sustainability transitions through integration of knowledge for improved policy processes

the overarching objective of rustik is to enable rural communities actors and policy makers to design better strategies initiatives and policies fostering sustainability transitions of rural areas through an advanced understanding of different rural functionalities characteristics and future scenarios of rural areas their potentials and challengescentral specific objectives are to provide 1 a robust methodological framework for functional rural areas 2 databases integrating data of different types and sources 3 improved strategies and governance approaches for rural decision makers and stakeholders and 4 improved approaches for rural impact assessment and decentralised rural proofingrustik aims to substantially contribute to enhancing existing european policy tools and approaches most of all to support the european green deal the european digital strategy the european pillar of social rights and the eu longterm vision for rural areas of the european unionrustik addresses the topic by illuminating three key transitions in rural areas ie 1 socioeconomic 2 climate change and environmental and 3 digital five types of rural functions are rustiks starting point for characterising the diversity of rural areas and their capacity to respond to these transitionsin order to achieve its overarching and specific objectives rustik will 1 create a conceptual basis for functional rural areas transition and resilience of rural areas building on previous research 2 codesign data collection approaches and 3 investigate policy frameworks and coordination mechanisms closely interrelated with all of these activities living labs in 14 european pilot regions in 10 european countries will be the central element of an actionoriented multiactor approach to researching rural diversity and societal transformations
a comprehensive cad system based on radiologic and pathologicimage biomarkers for diagnosis and prognosis of breast cancer relapse

breast cancer bc incidence in women produces more than 600000 deaths each year the primary cause of death in bc patients is metastasis whereby cancer cells spread from their primary site of origin and grow in adjacent or distant sites distant metastasis produced due to the relapse of the illness is incurable underscoring the inadequacy of our understanding of its mechanisms the first step for fighting against disease progression is screening programs for bc focused on image analysis of mammography mri and tomosynthesis once the tumour has been diagnosed and given the high variability of clinical progressions another problem arises classifying the cancer type and determining the proper treatment for specific cancer moreover in bc the immune response from the tumour microenvironment has played an essential role in tumour evolution to evaluate the tumour and its microenvironment one technique garnered a lot of attention in the last years whole slide imaging wsi this technique replaces the use of the microscope for classical diagnosis still it has also been used for developing biomarkers that allow the analysis of tumours and classification of cancer subtypes and the study of the immune tumour microenvironment the use of wsi has applications for predicting the probability of relapse for distant metastasis now for the first time bosomshield proposes to join the two disciplines pathological and radiological imaging in a software that will analyze these images to classify the cancer subtypes and predict together with the complete clinical history of the patient the probability of relapse for distant metastasis besides bosomshield will provide highlevel training in bc research to young researchers by offering the necessary transferable skills for thriving careers underpinned using diverse disciplines digital radiology and pathology biomedical ai privacy and software development
universal sensor based on electricallypumped midinfrared spectrometer on silicon chips

high resolution optical spectroscopy in the midinfrared midir spectral range 312 m wavelength is an unambiguous way to detect and quantify small traces of greenhouse and toxic gases down to sensitivities of partsperbillion such sensitivities are a prerequisite to safeguard lowpollution and toxicfree environment defined by the eu action plan towards a zero pollution for air water and soil however size cost and general complexity of the commercially available instruments limits their use to a small number of highly specialized applications and prevents their deployment with sufficient coverage eg in networks wearable electronics etc particularly in the context of internet of things iot devices on chip integration of spectroscopic systems would constitute a game changer for midir highprecision and portable sensorsthe objective of unison is to address this challenge and demonstrate a highly scalable platform for infrared spectroscopy that has both highend performance and is compact unison sensing scheme relies on dual comb spectrometers obtained by leveraging on electrically pumped cascade lasers qcl and icl and on silicongermanium sige midir photonic circuits to surpass current spectroscopic systems in terms of detection bandwidth point spacing and system compactness unison is organized around 3 main cornerstones each of them relying on ambitious physical and technological challenges i tunable large bandwidth frequency combs will be generated on sige photonics circuits by combining electrooptical comb generation nonlinear effects and dispersion engineering
certified egnss remote tracking of drone and aircraft flights

the rising number of uass drones led to the introduction of additional specific rules and procedures for their use ie eu regulatory package 2021664 uspace where uass are expected to operate alongside sportultralight and general aviation ga aircrafts for this class of aircrafts and uass there is no certified component capable of ensuring a positioning information trustable enough as evidential value from a legal perspectivein response to this need certiflight project proposes a new uspace service for the legal certification of tracks generated by uass and aircrafts flights through the introduction of a new disruptive egnssiot digital systemcertiflight features a software platform that offers to its customers uas operators ga pilots a digital service for the generation of certified reports of flight tracks and the flight logs of uass and ga aircrafts especially for safety related and commercially valuable applications paving the way for a new class of uspace business services that include the activation of smart contracts ie contracts activated when specific conditions are met as flying specific routes for drone parcel delivery in addition the recorded tracks may be useful for enforcement ie sanctions for airspace infringement as well as for possible accident or incident investigations the core of the system is a digital egnssiot device installed on uass and ga manned aircraft equipped with an osnma galileoegnos enabled receiver capable to guarantee the authenticity of their position information at the origin without the possibility to be counterfeited or spoofed tracking information is cyphered for transmission to certiflight platform in real time and permanently stored to a private blockchain node unalterable once stored galileo osnma service acts as unique global enabler for this service ensuring the authenticity of positioning data at the origin
mechanisms of protein sumoylation and its functional consequences

protein posttranslational modification with small ubiquitinlike modifiers sumo1 2 and 3 also known as sumoylation targets a third of human proteins is essential for organisms from yeast to humans and has strong links to cancer and neurodegeneration like ubiquitylation to which it is related sumoylation typically depends on the action of enzymes called e3 ligases which help determine substrate specificity and the exact signal that is produced however while for ubiquitylation several hundred e3s are known no more than two dozen sumospecific e3s have been described and only four characterised structurally in a way that reveals their mechanism intriguingly the sumo e3 ligase activity keeps being detected in proteins that are unrelated to each other and sometimes can be mapped to apparent disordered regions in the first part of this project i will explore the poorly charted territory of sumo writing by elucidating the structure and mechanism of some known sumo e3 ligases for which the mechanism is unclear this analysis will serve as a stepping stone to proposing computational chemical biology and structural biology approaches to identifying and characterising new sumo e3s in the second part i will investigate downstream consequences of sumoylation following attachment to a protein substrate sumoylation is thought to function as a molecular glue by promoting formation of protein complexes with specific sumo readers but detailed structural and biochemical information is lacking for any of such putative assemblies to address this topic i will develop strategies to identify and characterise sumodependent complexes the new tools approaches and knowledge about sumo writing and reading will be broadly applicable to pathways regulated by sumoylation allowing their understanding in molecular and mechanistic terms the study will also explore general concepts in protein evolution and evolutionary emergence of signalling systems
carbon atmospheric tracer research to improve numerics and evaluation

the catrine project will focus on the atmospheric tracer transport research areas identified by the eus co2 task force the co2 human emissions che project and the copernicus co2 service coco2 projects the accuracy and mass conservation of the tracer transport model is of utmost importance in the design of the co2mvs any unaccounted systematic errors in the tracer transport model can lead to inaccuracies in the estimation of co2 and other tracer emissions therefore catrine aims to improve the methods used to represent resolved tracer transport by the winds with a particular focus on mass conservation and to identify other systematic errors associated with unresolved processes represented by parametrizations the project will define protocols for evaluating tracer transport models at both global and local scales test beds based on field campaign case studies will be developed along with suitable metrics for tracer transport evaluation utilising a range of tracers and observations at both global and local scales these metrics will be employed in the operational co2mvs to evaluate the implementation of new transport model developments characterise transport accuracy and representativity in data assimilation and provide a quality control stamp of tracer transport accuracy lastly catrine will provide clear recommendations to the co2mvs and the carbon cycle community which works with atmospheric inversion models for the evaluation and quality assessment of tracer transport models