Dragon09/odtu_chatbot huggingface dataset:
transforming road safety in africa

the transsafe project will involve national regional and city level demonstrations to test different types of innovative and integrated safe system solutions complemented by a comprehensive toolbox capacity development policy support and replication activities to maximize impact the project brings together in a consortium highly committed cities road safety agencies and experts from both europe and africa building on numerous synergistic projects networks and a strong technical experience among partners the consortium will deliver an ambitious project through highly effective and innovative approaches to sustainable road safety development thereby ensuring that road safety systems and interventions from this project deliver on the recommendations of the road safety cluster of the africaneu transport task force adopted in 2020 the consortium members have experience and expertise in africarelated research as well as developmentrelated research in collaboration with local actors in various countries of africa at many levels ultimately the project will help deliver on the joint euafrica strategy jaes and advance countries progress towards the 2030 agenda for sustainable development and the sustainable development goals sdgs
srsio3based dental pulp capping cement

despites dental pulp capping materials should meet the certain requirements the available materials have one or more shortcomingspoor biocompatibility and rheological properties fail to maintain pulp vitality and to simulate reparative dentine formation and expensive etc mineral trioxide aggregate mta is widely used material because of its beneficial properties however its composition bismuth oxide which is suspectable to toxicity has an impact on rheological properties this emphasizes the necessity of looking for inexpensive alternatives to materials that meet the specifications this projects goal and novelty are to investigate the potential processing of the dental pulp capping cement which is made of strontium silicate srsio3 strontium fluoride srf2 piezoelectric material pzm and tricalcium silicate ca3o5si and its rheological properties and hemocompatibility because srsio3 srf2 pzm and ca3o5si have the promising properties this projects work packages are split into four categories based on the interdisciplinary approach since it involves the synthesis and characterization of pzm the processing and characterization of cement the identification of rheological parameters utilizing iso standardizations and hemocompatibility and acquiring new transferrable skills additionally the interactions among the selected compounds will be determined the scientific impact of this project is comprehending the physical properties and the immune systems response to evaluate the cements suitability as a replacement for existing materials as well as resulting in further uses in dentistry and medicine the societal impact is providing millions of patients in europe with predictable and outstanding treatment outcomes each year to maintain pulp vitality and health eventually it will ease the financial load on millions of patients who need dental care will be avoiding inflated medical expenses and misuse of the patent economic impact
targeting palmitic acid signaling machinery to inhibit metastatic cancer

despite recent breakthroughs in immunotherapy and cancer research metastasis continues to be responsible for 90 of cancer related deaths while surgical resection and adjuvant therapy can cure localized tumors once tumor cells metastasize cancer remains largely incurable increasing evidence indicates that lipids play a crucial role in the metastatic process by providing energy and membrane components required for cell migration and outgrowth and also by triggering specific signaling cascades that prime cancer cells into a metastatic program martinperez et al cell metabolism 2022 importantly we have found that palmitic acid but not other fatty acids promotes metastasis in a large number of tumors and that metastatic initiating cells require a lipid metabolism reprogramming driven by an epigenetic remodeling pascual et al nature 2017 pascual et al nature 2021 we have solid evidence that fatty acids not only promote metastasis by providing energy to metastatic cells delauney et al nature 2022 but also by specifically modulating protein lipidation thus targeting this particular lipid signaling machinery may represent an unexplored solution to combat metastasis palmitomet aims to identify novel molecules capable of inhibiting specific protein lipidation to treat metastasis in preclinical models with the aim to bring them closer to the clinic inhibitors found during this project have the potential to become firstinclass drugs making this project a high risk but high gain project considering the very large and growing market we are addressing
galileo authentication and gnssins platforms for secure and safe services in air navigation and mobility

in recent years there has been a vibrating interest in urban air mobility uam with attention on advancements in batteries distributed electric propulsion and all technologies that are leading to the development of a new class of aircraft commonly referred to as electric vertical takeoff and landing evtol aircraft these are expected to be safer quieter greener and less expensive to operate and maintain than existing vertical takeoff and landing aircraft they promise to be much less complex than legacy helicopters of comparable size and carrying capability but the reduced complexity of the aeronautical structure does not imply simpler avionics for flight control navigation and vehicle management which will have to address an integration problem this touches diverse position navigation and time pnt technologies and the lowlevel data fusion between global navigation satellite systems gnss and inertial navigation systems ins is a solution especially if new features of gnss signals are exploited gaussian addresses the problem of safety and security of uam applications that rely on pnt modules powered by egnss specifically gaussian wants to demonstrate the value of the authenticated galileo e1 signals combined to integrated gnssins platforms to have i greater robustness against spoofing attempts and ii better continuity and availability of pnt data in constrained environments gaussian wants to mitigate some security risks and concerns which originate from real needs of flight operators leveraging advances in existing pnt technologies the project also includes the application of the precise point positioning ppprtk corrections provided by the galileo high accuracy service has to improve the pnt data accuracy gaussian starts from existing concepts prototypes and components developed by the proposing companies with a strong focus on the creation of new integrated and certified products for the upcoming air mobility market
tools for protecting data and function privacy

privacy is a fundamental right and ideally both users data and organizations intellectual property are protected privacy enhancing technologies pets can protect data and function privacy a mature pet to protect data is multiparty computation mpc further pets are private set intersection psi to compute functions on sets of elements and private function evaluation pfe to protect data and functions the main goal of privtools is to develop composable pets and corresponding opensource tools that make them accessible to developers who are nonexperts in cryptography so far mpc psi and pfe were studied mostly separately and their composition to more complex functions is open we will develop composable and efficient pets using various function representationswe achieve these objectives1 currently each mpc framework uses a dedicated highlevel language the objective for mpctool is to give developers unified access to multiple mpc frameworks and function representations from multiple programming languages this allows technology transfer across mpc frameworks compare their performance and protects against vendor lockin2 for set operations a developer must currently generate circuits for postprocessing elements in the intersection which is cumbersome to make psi more accessible psitool will be the first tool for psi that generates optimized psi variant protocols from programs using common abstractions for sets3 for private functions a developer must currently generate a circuit that is evaluated with a pfe protocol this is inefficient and often only parts of the function must be hidden pfetool will be a flexible tool for pfe that uses multiple function representations and automatically chooses efficient pfe protocols for subfunctionsthe tools built in privtools also work with each other eg pfetool can hide the set operations in psitool they will allow protecting data and functions in a large variety of applications
highthroughput production of extracellular vesicles from organoids under rotating motion

extracellular vesicles evs have emerged as pivotal regulators of both physiological homeostasis and pathological conditions including cancer and regenerative diseases and have recently been pinpointed as central effectors in the therapeutic capabilities of their parent cells nevertheless the therapeutic market of evs still has significant potential for further development specifically ev production methods that deliver robust scalable and highyield productions if possible with the minimum cell material are still unattainable besides existing technologies are not adequately versatile to accommodate different types of producer cells which is of particular relevance given that the biological makeup of the evs and in turn their therapeutic potential strongly depend on the state of the parental cells when stimulated here we aim to integrate tight control of produced cells configuration with highthroughput production of evs in a streamlined system
orchestrating an interoperable sovereign federated multivector energy data space built on open standards and ready for gaiax

orchestrating an interoperable sovereign federated multivector energy data space built on open standards and ready for gaiaxthe aim of omegax is to implement a data space based on european common standards including federated infrastructure data marketplace and service marketplace involving data sharing between different stakeholders and demonstrating its value for real and concrete energy use cases and needs while guaranteeing scalability and interoperability with other data space initiatives not just for energy but also crosssectorthe proposed concept and architecture heavily rely on the approaches adopted by idsa gaiax fiware bdvadairo and sgam as major eu references regarding data spaces it will pursue the gaiax label which ensures highest standards on protection security transparency openess and trust avoids vendor lockin and restricted to eu countriesfederated infrastructure for data ingestion there are a lot of independent platforms for data ingestionstorage open and private the goal is to define the minimum interoperability and federation requirements needed for these platforms to adhere to the energy data space and be able to share data in a trusted and secure waydata space marketplaces this is the common ground where data which is already harmonized semantically is indexed and referenced maintaining always the required standards of identity trust and sovereignty using the data space as baseline a marketplace is implemented for stakeholders to share use and monetize data and services dataservice providers will be able to advertise their dataservices and dataservice users will be able to discover multiple data sets and servicesadvanced energy use case demonstration using all aforementioned layers underneath 4 use cases families renewables lec electromobility and flexibiilty will showcased o prove the value of having a common data space for a particular problem identified by energy stakeholders
aibased software for digital drug testing

drug consumption is rising worldwide in europe alcohol and other narcotic drugs cause 30 of all road deaths 25 of all fatal workplace accidents and 54 of all escooter accidents we believe that most of these accidents could be prevented using the right tools to this aim we have developed eyescanner a revolutionary aibased software that detects the influence of alcohol and other drugs through image analysis of eye area eyescanner is a versatile digital tool that can use existing tech infrastructure smart phones integrated into cars hospital equipment etc our solution offers a drug test for environments where drug testing was not possible cars escooter apps and a better alternative to currently used methods law enforcement corporate healthcarewe now seek eic support to finalize eyescanner development and demonstrate its application on different scenarios we will partner with industry leaders to transform eyescanner into the digital drug testing global leader
hybrid knowledge society

hybrid knowledge society hybknow is a twoyear postdoctoral project situated at the intersection of philosophy history and cultural studies the projects overarching purpose is to overhaul the concept of the knowledge society in light of pressing contemporary concerns such as the existential risks associated with the anthropocene and the hybrid demands of the 21stcentury knowledge ecosystemthe knowledge society was supposed to have initiated a technologydriven sciencebased and expertgoverned way of life but recent developments indicate that massive technology corporations exert significant influence over the public sphere scientific institutions are challenged by resurgent extremisms and expert knowledge is devalued in favor of conspiracy discourse moreover researchers have shown that anthropogenic activity has a significantly negative impact on the earth system with potentially devastating consequences for longterm human survivalin these highly complex circumstances the development of effective solutions will largely depend on the integration of the diverse multiple elements that comprise the global knowledge ecosystem therefore by drawing on the methodology of politicalhistorical epistemology to design an innovative research framework that combines conceptual research with historical case studies i will construct the concept of the hybrid knowledge society geared to integrate a wide range of disciplines and actors while avoiding the twin risks of neopositivism and postmodern relativismthe hybknow project will open up new research avenues address multiple existing research gaps and generate changeoriented knowledge to facilitate inclusive knowledgemaking practices in addition hybknow will provide me with an opportunity to boost my research profile improve my scientific training and consolidate my integration in international academic networks
labelfree singlemolecule detection of complex biomolecule interactions in free motion

dysregulated interactions between biomolecules can lead to changes in cell signalling and gene expression both common drivers of human disease a detailed understanding of these interactions is vital for drug development often targeting such interactions for therapeutic effects in this project i aim to develop an optical microscopy tool to observe interactions of highly diverse biomolecules in terms of eg weight or size in realtime on a singlemolecule level without the use of labels or immobilization which limits many current established methods this will allow the study of dynamic interactions between complex biomolecules of varying sizes and with a wide range of properties the tool will be capable of researching various biological systems that are not easily accessible by established methods this could contribute to breakthroughs in the research of severe diseases such as diabetes mellitus alzheimers or parkinsons disease
imagebased in silico modelling of fetoplacental vasculature

the placenta nourishes the fetus and removes its waste products in pregnancy fundamental to its function is the healthy development of an extensively branched treelike structure known as the vascular tree in pathological pregnancies abnormalities have been found in placental structure and function impaired uteroplacental blood flow can lead to pregnancy disorders such as fetal growth restriction fgr a condition in which the fetus does not grow physiologically fgr has lifelong consequences for both fetus and mother affecting 810 of pregnancies and contributing to 30 of stillbirths the placenta is inaccessible to in vivo measurements due to technological and ethical constraints ultrasound is the most routinely used clinical imaging tool for screening the placenta however it is limited in spatial resolution placental function can be also assessed via magnetic resonance imaging mri which is safe during pregnancy however mri models cannot measure blood flow changes in the placental vascular tree complementary to imaging in silico models are increasingly used to probe complex cardiovascular problems attempts to model blood flow in the placental vasculature are based on oversimplified assumptions while being limited by the data they have been informed or validated against with here an integrated hemodynamic model of the placental vasculature will be developed using novel ex vivo computed tomography data and computational fluid dynamics this project will innovate by delivering a computerbased framework insilicoplacenta which will offer a comprehensive understanding of the structural and functional abnormalities with fgr we will combine medical imaging with in silico models to infer placental tissue properties of the entire placental vasculature the longterm impacts of the proposed framework are expected to change clinical diagnosis and management of highrisk pregnancies by reducing stillbirths and improving neonatal outcomes
linked lives consequences of long commuting for the health of all family members

passive commutingregularly recurring travel between home and work by a motorized vehicle or public transportationis an integral part of our lives commuting may take a toll on the health of commuters and their family members current research offers a limited understanding of whether commutings health impacts are socially patterned information about whether long commuting affects family members is scarce a comprehensive inquiry into this topic is needed to understand what commuting means for population healthcomfams main objectives are 1 to investigate the impact of long commutes on commuters physical health 2 to investigate whether long commutes have adverse effects on noncommuting partners health and wellbeing 3 to assess the effects of parental long commutes on childrens health and social outcomes 4 to examine whether changes in commuting during and after the covid19 pandemic have brought any changes to the health and wellbeing of the family members and 5 to examine whether the health effects of long commutes differ across population subgroups and whether these effects are short or longtermcomfam is ambitious and highly innovative it will use highquality nordic register data enabling us to examine comprehensive objective indicators of health investigate the heterogeneous health effects of long commuting and employ novel methods to address endogeneity and help establish a causal pattern we will also leverage rich survey data from the uk us and germany to investigate mechanisms that may underlie commutinghealth relationships and assess health declines not yet requiring medical treatmentcomfam is also important in addition to impacting population health the negative health effects of commuting may reduce employee performance induce premature exits from the labor force and set children on problematic trajectories thus the findings will have farreaching public health social and economic implications across nations
neuroprosthetic modulation of largescale brain networks for treating memory disorders

cognitive deficits caused by ageing neurodegenerative diseases or brain injury represent a major public health issue they are associated with a disruption of neural oscillations in largescale brain networks which cannot be restored using current treatments here i propose a new neuromodulation framework for manipulating neural oscillations across largescale brain networks to improve learning and memory specifically i will create a largescale neuroprosthesis of the hippocampusprefrontal cortex circuit which will simultaneously record and stimulate electrically key areas of the episodic memory network i hypothesize that spatially spectrally and temporally specific stimulation protocols within this network will enhance the functional interactions between hippocampus and prefrontal cortex and will improve learning and memory this conceptual approach will be evaluated in nonhuman primates trained on a visuospatial learning taskfirst i will combine an electrocorticographic grid over the prefrontal cortex with depth macroelectrodes in the hippocampus and entorhinal cortex to create a novel largescale brain implant i will use this device to investigate the neural signatures of successful vs failed trials next i will optimize electrical stimulation protocols that replicate successful neural signatures and will test whether they improve memory in healthy animals third i will induce temporary cognitive deficits in the animals using a cholinergic antagonist and will assess the effects of stimulation in this pharmacological model of dementia finally i will evaluate the chronic feasibility of this approach by translating these concepts into a fully implantable and wireless platform suited for future clinical applications memoprosthetics will lead to the development of neuroprostheses that palliate memory deficits in preclinical models of ageing and dementia and will open new avenues for studying and treating a wide range of cognitive impairments
the quest for magnetic fields in a and f type stars

magnetic fields are ubiquitous and have a substantial impact on galactic stellar and planetary evolution and on life theoretical models imply that magnetic fields can affect stars from the deep interior to the outermost layers at each stage of evolution yet the origin geometry and evolution of magnetic fields often remain a mystery consequently standard stellar evolution models do not consider the interaction of magnetic fields with other physical processesextensive surveys show that only 10 of the intermediatemass aftype mainsequence stars have detectable magnetic fields however studies show that up to 60 of red giant stars that evolve from these stars have strong internal magnetic fields stellar evolution dictates that if the magnetic fields exist in these red giants they must also exist in younger stars this discrepancy raises many open questions have surface magnetic fields in af stars been below the detection threshold of modern instruments are their magnetic fields confined to stellar interiors and never penetrate the surface if so how may we detect them are there physical processes that prevent a and f stars from producing and maintaining stable magnetic fieldsmagnify aims at answering these questions by 1 investigating the existence of internal and surface magnetic fields in af stars using asteroseismology and 2 exploring the mechanisms producing magnetic fields by studying stellar spots with asteroseismology we can use stellar pulsations to probe deep into the stellar interior to detect the presence of hidden magnetic fields we will use data from the kepler tess and gaia space missions to study af type pulsators and use stellar evolution and pulsation models to disentangle the signatures of magnetic fields from other physical processes finally we will use measurements of stellar spots in a large number of af stars to broaden our understanding of magnetic field generation and how it varies with stellar mass and age