Dragon09/odtu_chatbot huggingface dataset:
training network for tracking and controlling therapeutic immune cells in cancer

cancer immunotherapies have been established in a growing number of clinical indications and the pace of development is massively accelerating currently over 6000 clinical trials are investigating immunerelated treatments in oncology especially in combinations it includes both adoptive cellular therapies and immune modulating treatments like immune check point blockade in contrast the understanding of how such therapies mediate their mode of action is still mostly poorly understood in particular the role of distribution and relocation of immune cells after therapeutic interventions remains unknown this is surprising as immune cell interactions are a hallmark of therapeutic immune responses trafic will enhance understanding of immune cell trafficking under therapeutic influence it will open new paths and avenues to treatments boost their efficacy and help prioritizing the plethora of immune therapeutic combinations in the past detailed analysis of cellular distributions was facing technical barriers advances in technologies now permit tracking and visualization of cells in vitro and in vivo at an unprecedented resolution allowing for the first time studies on immune cells under therapeutic influence this emerging field of research has enormous potential and key importance for next generation of researchers in oncology and beyond however experts in this field are missing and this threats european research development and medicine therefore trafic joins forces of 13 academic and three industrial partners from nine european countries to conduct an innovative and interdisciplinary approach combining cell imaging with bioinformatics cell engineering and clinician expertise the network bundles recognised expertise in cancer immunotherapies empowering european research and innovation and ensuring a sustainable cooperation in science and training
photonic metasurfaces for resourceefficient ultrathin high efficiency tandem solar cells

the transition towards a society based on 100 renewable energy requires massive deployment of photovoltaics of 3070 tw until 2050 this requires huge amounts of resources while their limited availability is already becoming apparent a major lever to reduce resource consumption is to increase the solar cell efficiency as best single junction solar cells approach their fundamental limits higher efficiency can only be reached with socalled tandem solar cells made of two or more subcells all tandem technologies so far are based on relatively thick absorber layers reducing resource demand compared to single junction devices by efficiency increase there light trapping strategies are used to maximize absorptance close to the band gap of the materials and improve efficiency by few percent relative however by applying advanced light trapping techniques such as nanophotonic metasurfaces ultrathin single junction devices with a 510fold decrease in semiconductor material were realized to reduce resource demand further the concept of ultrathin solar cells must be extended to tandem devices this introduces severe challenges as not only absorption needs to be maximized within the active part but a spectrally dependent light guiding strategy is required metasurfaces have shown the ability to manipulate light eg spectrally dependent however they have never been implemented into tandem solar cells thus the overarching goal of phase is to generate a deep physical understanding of metasurfaces for ultrathin tandem solar cells and to develop process flows to implement nanophotonic structures into such devices with efficiencies above 30 this will proof that the chosen technology pathway can support the urgently needed energy transition more specific the goal of phase is to realize tandem solar cells where the resource demanding semiconductor part is 10 times thinner and thus needs 10 times less semiconductor material than similar existing devices
security enhancement through heterogeneous data fusion and improved aimlpowered copernicus maritime and border surveillance services

the copernicus security service css is instrumental to support the european unions security safety law enforcement and international commitments with the european commission advocating for its advancement the ai4copsec project aims to demonstrate the potential of advanced ml and geoai models to provide relevant intelligence for enhancing existing copernicus products and services such as oil spill response illegal fishing alert and create new services intended to support searchandrescue operations and irregular migration detection the project will enhance css services through the usage of selfsupervised deep learning models geomatics and social media data osint extracted from heterogenous multisources data ai4copsec is expected to have a transformative effect on the operational capabilities of eu securitysurveillance and safety by leveraging advances to enhance the timeliness accuracy and relevance of information derived from eo and noneo data sources including the innovative use of thermal imagery for ship detection the combination of satellite automatic identification system ais data with structured data extracted from social media sources and the usage of insitu environmental measurement derived from ais data and iot devices this integration will lead to more effective and efficient security operations environmental monitoring and disaster response ai4copsec is also set to detect anomalies and threat in the maritime traffic and advance ship detection capabilities utilising highresolution optical images and advanced segmentation algorithms to enhance the detection of small vessels independently of the type of material metallic structures wood rubber a critical factor for a comprehensive maritime surveillance in line with the css and the eus maritime security strategy eumss
brain interchange one srthe implantable neuromodulation technology for stroke rehabilitation

electrical brain stimulation has been successfully used since the 1990s to treat neurological illnesses particularly movement disorders most of the devices for this novel approach are based on the old pacemaker technology companies are unwilling to take device development risks rely on established tech limiting new therapy developments many neurological diseases are still treated with pharmaceuticals only which has limited effectiveness and causes severe side effects neuromodulationelectrical stimulation research has increased in recent decades additional recording capabilities closed loop therapy expand therapeutic options cortec aims to provide novel implantable tech to overcome the current limitations it enables researchers medical institutions industry to develop new therapies devices we plan to finalise the development of our tech for stroke rehabilitation conduct clinical trials get market approval in 2029 generating 250m in sales in 2030
effects of socioeconomic inequalities in childhood respiratory infections

social determinants like parental education and household income have an important contribution to the high burden of respiratory infections in children children from dissadvantage backgrounds tend to suffer from a higher disease burden than their more advantaged peers and are more likely to experience illness and disability as a result the pathways through which social determinants influence childhood respiratory infections are complex and interrelated but in general are driven by differences in exposure and susceptibility to risk factors for respiratory infections that are influenced by the conditions in which children grow up however there is surprisingly little evidence in the literature on the mechanisms underlying the association between social inequalities and childhood infections and their interaction with other earlylife risk factors eg behaviours lifestyle environmental conditions etc the purpose of this project is to explore the social geographic and cultural patterns and the pathways that relate social characteristics earlylife risk factors and childhood respiratory infections in order to understand the burden of such infections in children in europe understanding these patterns and pathways is vital to inform preventative policy and help reduce the unequal child health differences through effective public health interventions the project will use existing data from the eu child cohort network on over 200000 children from 16 european birth cohorts and a novel opensource infrastructure called datashield that allows federated analysis of data from multiple cohorts without the need of sharing the participant level data the primary goal of the project is to provide crucial insights into the role of social determinants and earlylife stressors in childhood respiratory infections with the aim to inform eu policies the secondary goal is to provide to the research community an opensource tool for federated mediation analysis
new chemical warheads for covalent drug discovery

over the past two decades the pharmaceutical industry has witnessed an exponential growth in approved covalent drugs the majority of such drugs incorporate a chemical warhead a mild electrophilic reactive functional group that forms covalent bonds in a reversible or irreversible manner with nucleophilic aminoacid residues the aim of this proposal is to assess the viability of a new chemical warhead in the discovery of novel kinase inhibitors
ecooperated modular highly efficient and flexible multipowertrain for longhaul heavyduty vehicles

empower addresses in full the expected outcome and scope of the horizoncl52022d50108 topic by delivering two flexible modular and scalable zeroemission heavyduty vehicles ze hdv belonging to the vecto vehicle group 9 62 rigid trucks with a gross vehicle weight equal or above 40 tons one vehicle is powered by a fuel cell fc system and has a driving range of 750 km while the other is powered by a batteryelectric powertrain and has a driving range of 400 km both vehicles will be delivered at trl 8 by the end of the project end of 2026 and are expected to approach the market by 2029 within its technical activities empower willdesign implement and deliver technology bricks 1 a modular vehicle system architecture 2 a modular high voltage architecture 3 a modular lowvoltage ee architecture 4 a fc system with high reliability and extended operational lifetime with a modular energy storage 5 a highly efficient eaxle 6 an optimised thermal and energy management 7 an optimised hvac system featuring co2 as refrigerant and infrared heating panels 8 an electrified distributed braking system 9 digital twin models of the demonstrators 10 an innovative human vehicle interface for optimised control of the vehicle systems featuring vehicletogrid communication and ecorouting 11 a fleet management system for the integration of ze hdv into the fleet 12 an overall lca and tco assessment and 13 the operation of a green hydrogen infrastructure for ze hdvdemonstrate the driving range and realworld operation performance of the two ze hdv in five different longhaul and regional distribution usecases including crossborder corridors between different european member statesthe modular and scalable empower technology is transferable to vecto vehicle groups 4 5 and 10 and it is designed to achieve the total cost of operation parity against the conventional 2020 baseline diesel truck by 2030 targeting a production volume above 10000 vehiclesyear
flexibility to multisensory contestual information in people with sensory disabilities

one of the brains main challenges is decoding and integrating information from different sensory modalities to create a coherent perceptual representation in this perspective the study of people with sensory disabilities can be considered a model to investigate the mechanisms behind the ability to modify and adapt behavior to external stimuli when a system is flexible it can modify itself to gain greater benefit based on environmental conditions however when the system does not develop in a typical manner as in sensory disabilities it may be less flexible causing problems beyond perceptual processing and affect aspects of everyday life starting with this assumption flexu unites a novel combination between psychophysics and statisticalmodeling analysis to investigate the flexibilityrigidity of the sensory processing mechanisms in people with and without sensory disabilities the projects main aim will be divided into three specific objectives sos so1 understanding of sensory flexibility in the typical individuals so2 modelling of sensory inputs to predict flexible behavior so3 understanding the influence of contextual information on the flexibility of sensory systems in people with sensory impairment and develop rehabilitative training these objectives will be achieved thanks to the transfer of knowledge between the partner unsyd and the host iit institutions involving advanced expertise in experimental psychology behavioral modelling rehabilitative training as well as solid scientific and clinical collaboration networks the outcomes of fluxu will advance not only our knowledge about human perception and multisensory processing at the scientific level but will help to develop a new rehabilitative training based on multisensory inputs that on a wider scale could improve confidence and quality of life in people with sensory impairments
impetus

impetus will support and give recognition to citizen science cs in europe it aims to enable more diverse citizen science initiatives csis to access funding bring cs closer to society and policy makers acknowledge cs role in tackling the greatest challenges of our times and enable csis to contribute to green deal gd and un sdg commitmentswe will achieve this by funding csis through 3 open calls selected on expected impacts volunteer engagement edi openness and quality data we will offer 20k to kickstart 100 csis and 10k to sustain 25 csis addressing pressing needs of the european society each call will have 2 challenges we will convene a citizen panel to define one and provide feedback on our work setting up an accelerator to provide the funded csis with an integrated programme of support training mentoring and resources the accelerator will facilitate peer learning enable csis to contribute to sdg and gd targets and forge connections with quadruple helix stakeholders launching the eu prize for citizen science awarded to csis for outstanding achievements allowing them to continue and expand their work and showcase it to a wider audience we will award 3 prize categories for 3 years outstanding achievements diversity and innovative grassroots projects each time we will reach out to advisors to identify exceptional nominations and to the citizen panel to vote in the grassroots category shaping eu policy in and with cs through horizon scanning anticipatory policy and action research informing policy briefs webinars and workshops with key policy stakeholders the aim is to foster more cs data to inform evidencebased policies and identify future directions in cs policy developing impact assessment tools and assessing the impact of csis and our own framework especially on gd and sdg targets insights will be presented within the wider cs ecosystem and feed into recommendations for national and eu policies
3d decision support tool for brain tumor surgery

integrated digital diagnostics can support complex surgeries in many anatomies where brain tumour surgery is one of the most complex cases neurosurgeons face several challenges during brain tumour surgeries such as critical tissue and brain tumour margins differentiation or the interpretation of large amount of data available provided by several independent devicesto overcome these challenges stratum will develop a 3d decision support tool for brain surgery guidance and diagnostics reaching trl7 based on multimodal data processing through artificial intelligence ai algorithms that will be integrated as an energyefficient pointofcare computing tool it will be developed following a cocreation methodology involving key stakeholders and endusers stratum will pursue the following objectives1 to foster advances in personalized medicine based on multimodal data including the emerging hyperspectral imaging modality and ai2 to increase the intraoperative diagnostic accuracy of brain tumours improving surgical outcomes and patients quality of life 3 to reduce surgery time with respect to current neurosurgical operation durations4 to improve current cost and energyefficiency of neurosurgical workflows5 to demonstrate the prototype in a twoyear clinical study in 3 clinical sites including an early health technology assessment 6 to prepare the preliminary business plan and the trl9 roadmap after the project ending an optimized integration and processing of available and new emerging data sources would aid surgeons in timely efficient and correct decisionmaking in tissue removal this would maximize the degree of resection while simultaneously minimize the risk of neurological deficits moreover time efficient surgical procedures not only benefit the patients directly by minimizing anaesthesia time and risks of eg postoperative infections but also indirectly by optimizing resources of the health care system
social protection and demographic change 1960s1990s

demographic expertise has become a crucial perspective in debates around the development of modern welfare states since the 1960s many reforms answer to demographic changes eg ageing societies and demographic calculations are now regularly used for the technical construction of social protection policies in public debates demographic statistics also serve as an objectifying rhetoric legitimising welfare state reforms as necessary or inescapable however demography is not a black box what exactly is counted in demographic assessments age sex fertility migration varies a lot between national contexts and historically over recent decades this project examines from a historical and comparative perspective how demography became a core element of modern welfare state policies since the 1960s by analysing three fields of the welfare state oldage pensions programs health care and family policies in three representative european countries france italy and switzerland spade aims to identify which actors and which institutions contributed to making the problem of the demographic sustainability of social protection systems a political priority and which solutions were envisaged the project thus broadens the historiography of the welfare states traditionally marked by approaches from social and political history with novel perspectives from the history of science by combining transnational and comparative approaches and by looking at the origins of the discourse about the socalled welfare state crisis spade cast a new light on the transformations that the welfare state as a whole has undergone since the 1970s
strongly interacting electrons in synthetic superlattices

recent experiments on a class of atomicallythin twodimensional materials called moir superlattice systems have uncovered an entirely new and fascinating world of enigmatic strongcorrelation physics and superconductivity this project will develop theoretical models to explain these intriguing experimental observations numerical simulations will play an important role in guiding the theoretical models an overarching goal is also to explore what lessons we can learn from moir materials that advance our understanding of other paradigmatic stronglycorrelated electron materials such as eg the copperoxide superconductorsthe particular objectives of this project are to understand1 the nature of the brokensymmetry orders which appear in different moir materials2 the origin of superconductivity observed in carbonbased moir materials and the role of the repulsive coulomb interaction in the electron pairing mechanism3 whether exotic fractionalized metals are realized in moir materials and their potential role in explaining to the pseudogap regime4 the mott insulating ground states of twisted transitionmetal dichalcogenides and the parameter regimes where these correspond to longrangeentangled spin liquidsthese objectives address some of the most important and longstanding problems in condensed matter physics such as eg developing a theoretical understanding of electron pairing in the presence of strong repulsive interactions and the nature of the pseudogap phase which seems to be ubiquitous in stronglycorrelated materials the results obtained in this project will guide future experiments and enhance the possibility of realizing exotic phases of quantum matter such as spin liquids in the lab the experimental observation of spin liquids in moir systems would constitute a milestone in the field of stronglycorrelated materials
optical camera communication for satellites

occ4sat aims to develop an enabling communications technology for the space industry providing a solution to some current needs of the space sector such as the intrasatellite communication links and the reduction of the dry mass of data transfer cables connectors and shielding the project proposes the integration of optical camera communications occ into the intrasatellite environment providing the flexibility of this technology for enabling new unprecedented flexible design opportunities thanks to the inherent spatial multiplexing capabilities of occ its cost efficiency and the possibility of grasping reflections on the inner walls and objects of the satellite to establish nlos linksocc4sat addresses area 2 of the call the project will provide two main technology demonstrators which will be discussed in more detail in the implementation section i an intrasatellite occ network simulator that could serve as a tool for speeding up satellite design while providing performance estimates and ii a physical demonstrator based on a satellite mockup able to showcase the flexibility robustness and performance provided by the occ technologythe projects main objectives are a link range of around 1 m suitable for the mini satellites a data rate above 3 kbps enough for the satellite operation or a mass below 300 g using lightweight cots cameras and discrete led devices to name a few occ4sat will address several relevant challenges related to both the space and communications fields such as the limited power supply weight space and clearances in smallsats or the high spatial multiplexation order of the occ nodes the increase of the data rate and the developed of links based on reflections on the payload surfaces among other