Dragon09/odtu_chatbot huggingface dataset:
plasmodium liver stage schizogony high replication and genetic diversity

a world free of malaria is certainly a desirable goal however in spite of the significant incidence reduction achieved globally between 20002015 malaria still kills a child every minute the limited understanding of plasmodiums biology hampers the development of novel intervention strategies upon transmission by anopheles mosquitos plasmodium parasites must reach the liver and infect hepatocytes inside a hepatocyte each parasite replicates into thousands of new erythrocyteinfectious forms which lead to disease the parasite biomass generated during the liver stage ls of infection is directly associated with malaria severity but how the parasite achieves such a high replication rate and the consequences of that remain utterly unexplored notably plasmodium replication is unusual the parasite divides by schizogony with divisions occurring without cytokinesis and it cannot salvage pyrimidines from the environment relying solely on nucleotides synthesized de novo using a plasmodium transgenic line specifically designed to study dna replication throughout parasite development i unveiled for the first time the temporal dynamics of dna replication throughout parasite ls and show that plasmodiums ls high replication rate is accompanied by dna damage thus i hypothesize that dna damage accumulation during ls schizogony is a generator of genetic variability prior to intraerythrocytic infection by using a combination of molecular cell biology and genetic approaches i now propose to characterize the mechanisms define the molecular players and reveal the causes and consequences of such a high replication rate in the outcome of infection and progression of disease by exposing the consequences for parasite genetic diversity and virulence connecting ls schizogony with parasite genetic diversity and virulence for the first time will be conceptually transformative and will certainly provide valuable targets and tools for the combat against malaria
strategies for the evaluation and assessment of ocean based carbon dioxide removal

seao2cdr is an ambitious multidisciplinary project that unites expert scientific economic legal political social and ethical researchers with industry leaders and regulators to establish and assess the evaluation pathways and methodologies required for sustainable and effective operationalisation of oceanbased carbon dioxide removal ocdr the implementation of appropriate cdr strategies is regarded as an essential component of most net zero emission pathways yet the mechanisms and processes needed to facilitate their deployment remain largely unexplored notably ocdr approaches have generally received less attention than terrestrial cdr technologies despite offering equivalent or greater sequestration potential seao2cdr addresses critical gaps in our technoeconomic understanding of archetypal ocdr approaches in order to define the operational spaces in which they are environmentally and economically viable and will establish robust monitoring reporting and verification mrv strategies for different approaches using stateoftheart earth system models esms and autonomous sensor technologies stakeholderoriented governance frameworks will be developed that define the multidimensional interaction points through which responsible and effective governance of ocdr could be implemented and support the business development and investment needed to scale up ocdr finally the parameterisation of ecological synergies and systemlevel tradeoffs will enable ocdr to be incorporated into integrated assessment models iams that identify which techniques are best positioned to support the transition to a climateneutral and resilient society together these activities will enable seao2cdr to advance the implementation potential of ocdr by supporting the characterisation and development of environmentally safe socially acceptable and economically viable approaches that can help realise global climate policies
multiomic data driven drug discovery and indication prioritisation platform in oncology

with 20 of patients responding to their treatment and 10m dying every year cancer is a recognised societal challenge while datadriven approaches can double the clinical trials success rate the pharma industry lacks tools to leverage the large amount of data generated in their drug discovery processeswe are developing mcube an aipowered platform that scales precision oncology for drug discovery and repurposing bestinclass and usercentric platform mcube encapsulates a canceragnostic clinical data harmonisation module with an integrative approach to multiomic data analysis as our solution increases in value and allows us to move up the value chain our initial saas business model will progressively switch to a drug discovery model with mcube we will identify and validate new drug candidates to license ip assets to pharma companies by 2025 we expect to sign a deal of 25m with a biopharma partner we will disrupt he oncology market for the benefits of cancer patients
conjugativekiller plasmids a novel antimicrobial alternative

targeted killing of pathogenic bacteria without harming beneficial members of the host microbiota holds promise as a strategy to cure disease and limit both imbalances in the microbiota and development of antimicrobial resistance recent work from the unit de plasticit du gnome bactrien has demonstrated that genetic modules based on toxinintein systems delivered by conjugation are highly effective antimicrobials agents able to selectively kill vibrio cholerae in mixed populations in this line of work the project described in this proposal aims at adapting the aforementioned system to other pathogens of clinical importance salmonella spp shigella spp and klebsiella pneumoniae by including new toxin modules whose expression depends on transcriptional factors that are exclusively present in the targeted bacteria additionally to ensure an efficient dissemination and maintenance across the microbial gut population we intent to engineer conjugative plasmids to be transferred and maintained between enterobacteriaceae and bacteroides one of the main constituents of the gut microbiome once validated under laboratory conditions the system will be assayed in a caernorhabditis elegans model either with the aim of eliminating a specific pathogen causing disease or as a probiotic agent against pathogenic colonization the results obtained from these preliminary tests will direct the refinements needed for the generation of an effective tool against antimicrobial resistant pathogens in a real scenario
understanding neutral weed communities crops interactions and identification of artificial intelligence algorithms for speciesspecific weed management using robots

the overarching objective of neutraweed is to form an international and intersectoral network of 16 organizations in four continents europe africa asia and america working on a joint research program in the fields of weed ecology and management artificial intelligence ai and robotics new sustainable weed management solutions are requested since the overreliance on chemical control and intensive tillage in oversimplified cropping systems are now questioned because they have many drawbacks as a solution we propose the promotion of neutral weed communities nwcs which are weed communities that can coexist with the crops without reducing crop yield or quality compared with weedfree conditions in this 4yer research plan we propose to 1 identify nwcs in diverse cropping systems and study their interactions with crops and other biotic agents 2 investigate their effect on ecosystem services provision 3 develop weeder robot prototypes for weedspecific analysis 4 identify ai algorithms for weed speciesspecific discrimination to test on robots to attain nwcs a multidisciplinary and intersectoral approach will be used to comprehend the multiple interactions between weeds and crops under four aspects agroecological physiological molecular and microbiological using weed species images ai algorithms will be developed and tested on autonomous robots to attain nwcs by selectively removing only highly competitive weed species while leaving only the beneficial ones the staff members will develop new skills and competencies will be exposed to new research environments and will have their career perspectives broadened neutraweed will advance research by fostering the interconnections among countries providing training and education at academic and technical levels and engaging with local national and international stakeholders to create shared knowledge on weedcrop interaction and new sustainable ai technological solutions to manage weed
design and evaluation of technological support tools to empower stakeholders in digital education

given technological developments in other domains and lessons from the pandemic there is a strong push to invest in technologyaugmented education however much remains unknown for example what technological abilities are useful in education how they can be deployed what training needs arise and what shape future policies governing this should take empower contributes to resolving these questions by developing novel technological support for the education of children with neurodevelopmental disorders ndds this use case is in many ways challenging and thus ideally suited to 1 make a positive impact on the educational needs of these children and 2 highlight the potential and limitations of technologyaugmented education in a way that can inform future developments generallyndds affect approximately 15 of children aged 3 to 17 years these children can experience difficulties with language and speech motor skills behaviour memory learning or other neurological functions and benefit from education tailored to their needs empower creates a novel platform based on new paradigms from psychology that suggest that executive function ef and emotional self regulation are two key sets of skills to target in the educational intervention for these students the core output of empower is thus an educational platform cocreated by all involved stakeholders that facilitates the improvement of these key skills in children with ndds the platform will be tested and evaluated in school settings with all stakeholders involved according to the strict standards of a randomized clinical trial in addition to technological advances the lessons learned from the development and deployment of this platform will provide valuable insights into the needs and possibilities for training teachers in the use of new technologies as well as input into future policies governing technology in education including in particular refined ethical frameworks
early multiomic cancer assessment emoca

lung cancer is a leading cause of cancer related mortality claiming an estimated 18 million lives in 2020 in the eu lung cancer accounts for 12 of all new cancer diagnoses and 20 of all cancer deaths although helpful in identifying earlystage lung cancer screening programs frequently lead to falsepositives and overdiagnosis this is exacerbated by a lack of clinically useful biomarkers to accurately differentiate between lung cancer and indeterminate nodules found in the lung recent studies on lung adenocarcinoma luad suggest that microbial and host genomic signatures could be leveraged to develop useful biomarkers in earlystage disease however these studies are based on systemic signatures identified using metagenomics in plasma rather than at the site of the disease the lung very little research has been done on lung squamous cell cancer lusc it is likely that both microbial and host signatures in the lungs of patients with lusc a more centrally located cancer will be more specific and have stronger predictive power as biomarkers sampling of the lung is difficult however and involves invasive procedures such as bronchoscopy exhaled breath condensate ebc is a novel noninvasive method of collecting lower airways samples which i will use to evaluate the lung microenvironment in lusc furthermore microbial rna sequencing metatranscriptome provides broader and more detailed insight into the active function of microbes in different environments while metabolomics provides further insight into the byproducts of microbial metabolism applying this unbiased omic approach metagenome metatranscriptome metabolome transcriptome to multiple sample types blood sputum ebc bronchoscopy samples will allow identification of novel microbial biomarkers capable of distinguishing between lusc and nonmalignant nodules and predicting lusc progression and may help guide the development of new targeted treatment approaches in lusc
the first european scalable ultracheap and easily deployable longduration energy storage solution based on iron water and air the missing link to accelerate the eus energy transition

ore energy is a climate tech company developing ultracheap longduration energy storage systems based on very abundant materials iron water and air born at tu delft our technology is fully patent protected and has won multiple awards eg sprind longduration energy storage challenge nwo faculty of impact thematic technology transfer etc after several years of multidisciplinary research we have overcome the bottlenecks that have blocked for decades the commercial development of ironair flow batteries the result is amazing compared to other stateoftheart electrochemical storage systems such as liion batteries our batteries can supply energy for days instead of just a few hours at an unbeatable cost they are totally free of critical raw materials and their materials are easily recyclable plus the technology is completely safe without any risk of fire besides they are also the only truly scalable batteries thanks to the noncritical raw material usage and employing streamlined manufacturing methods we can easily scale their production without risks of supply chain outages or volatile prices in addition thanks to their fully modular plugandplay architecture packaged in a container our batteries can be deployed anywhere and at any scale our ambition is to close the technological gap that continues to hold back the massive deployment of renewables to accelerate the eus energy transition and at the same time increase the europeans competitiveness while guaranteeing its energy sovereignty
observational cosmology using large imaging surveys

the current standard model of cosmology successfully describes a variety of measurements but its main ingredients dark matter and dark energy are a great mystery esas euclid satellite is the biggest step forward towards solving this fundamental problem in physics it is designed to reveal the nature of the dark constituents and gravity by measuring the growth of structure over most of cosmic time with unprecedented precision but the interpretation of the data is complex incorrect modelling of the galaxy populations astrophysical processes or instrumental effects can easily be mistaken as evidence for new physics to fully exploit the statistical power of euclid the intricacies of the data need to be understood but we also need an accurate model of structure formation that can describe the interplay between galaxy formation astrophysics dark matter and cosmologyoculis tackles both aspects by providing the best measurements of the lensing signal and using the euclid data in novel ways to relate observed galaxy properties directly to the matter distribution to do so we will i use inflight data to correct for instrumental biases ii measure the intrinsic alignments of galaxies that contaminate the lensing signal iii exploit euclids unique ability to determine the lensing signal on small scales to directly determine the stellar masses of galaxies for the first time and to study the tidal stripping of dark matter halos iv use the results to inform models that describe the smallscale astrophysics in hydrodynamic simulations yielding robust predictions of the cosmological signals as cosmology coordinator of the euclid mission the pi is uniquely positioned to achieve these objectives the synergetic approach of oculis exploits that euclid is much more than a cosmology mission it is also a prime dataset for the study of the formation and evolution of galaxies by linking both science cases oculis maximizes the scientific return of euclid
biobar biological barriers for a sustainable landfill design

waste management and final disposal cause severe environmental impacts even in modern landfills installed engineered barriers worsen their hydraulic performance after 8 years of landfill operation which can lead to leachate leakage and environmental pollution in the medium to long term in addition the use of clay as landfill barriers relies on a nonrenewable resource and entails high economic and environmental costs when such a resource is not locally available therefore it is necessary to develop barriers made of renewable andor recycled sources which not only promote leachate containment but also enhance its insitu treatment and attenuation this project will take advantage of the bacteria naturally occurring in leachate that grow and form biofilms by consuming the organic compounds we will apply the biofilmforming bacteria in a novel liner made of the rejected fraction of fine aggregates and plastic waste adopting such a biobarrier between the liner and the drainage system could reduce both the leachate flow and the contaminants concentrations that actually reach the liner this is because the natural clogging of the biobarrier would reduce its permeability and the physicochemical and biochemical processes would enhance their attenuation in this regard the proposed project will 1 develop biobarriers for landfill design combining the rejected fraction of fine aggregates plastic waste and biofilmforming bacteria 2 verify the longterm performance of these new designs for representative conditions and 3 develop guidance for realworld implementation to reduce barrier permeability and increase contaminant attenuation the biobarrier biobar approach has not been quantitatively tested for landfill barrier design and merges innovative geochemical concepts and biofilm engineering the effectiveness of the developed biobarrier could enable the reduction of clay liner thickness in a renewable and sustainable design perspective
supporting european ri through stakeholder collaboration and institutional reform

initiate is a project that aims to empower higher education institutions to develop ri through institution transformation initiate in its widening dimension seeks to raise excellence in science and knowledge valorisation of europes universities through cooperation and knowledge circulation through stakeholder inclusion and codesign approach initiate will design an approach for institution transformation that will reflect on the current needs and resources of the institution external elements such as policy barriers good practices from other initiatives and identification of possible collaboration areas with other institutions including local ecosystems through iterative process and ri labs supported by online tools such as knowledge hub initiate will generate policy recommendations for helping stimulate ri development and scientific excellence in widening countries in addition to research outputs and creation of joint applications for other funding sources eg horizon europe the approach will be demonstrated in croatia portugal and north macedonia this will finally result in a roadmap for long term uptake of ri in widening countries with identified replication cases and forming of the alliance for green energy transition that will assure the longterm sustainability of initiate results the action focuses on universities in widening countries in which the cases for the implementation of initiate approach will be conducted additionally the project aims to achieve several outcomes including the successful institutional reform and upgrade of higher education institutions in the ri dimension empowerment to be actors of change and the mainstreaming of a culture of excellence in science and value creation amongst higher education institutions particularly in less researchintensive institutions and countries to achieve these outcomes the project will engage universities as well as local ecosystems
heritage of disease the art and architectures of early modern hospitals in european cities

after the black death of 1348 hospitals were newly designed to face social disease further plagues waves and new illnesses eg syphilis social distancing like recently with an unknown virus was the main method to avoid all kinds of contagion new spatial and safety concepts were developed to care and confine the sick and the poor in structures enhancing the visibility of political or religious agendas while wars and early globalization contributed to spreading pandemics charitable bodies exploited their roles to gather capital which they reinvested in art despite an extensive scholarship on hospitals as social institutions the question of why art and architecture were so vital for hospitals remains open archiater tackles this gap focusing on three objectives 1 to map hospital visual cultures agencies and imaginations in european cities before 1750 along terrestrial and maritime routes and according to hospital typology and networks 2 to analyse the spaces forms themes and designs of hospital art and architecture as liminal mediators to manage disease and contagion as well as life passages healing death and salvation 3 to reconstruct transitions and changing values of hospital materiality and develop ways of curating the impressive heritage of premodern hospitals bringing together art architecture history and curatorial studies the project looks at these relations in comparative and interconnected ways it combines geographical and microhistorical investigations objectbased analysis and a new conceptual questioning on the liminality of hospital art and architecture as mediators between spaces actors and intentions in the monumentalization of disease which characterizes historical cityscapes addressing these issues will reveal not only why so many artworks in our museums come from hospital contexts but also how visible artefacts can contribute to the wellbeing of a society faced with invisible threats
elem virtual heart populations for supercomputers

elems vheart is a supercomputerbased platform to perform massive insilico clinical trials on populations of digital avatars generated through a database of real medical data to study the outcomes of different therapies it assesses the safety and efficacy of novel therapeutics devices or drugs by computing thousands of scenarios current capability covers classic or leadless pacing and cardiac pumps and cardiac safety of drugs our plan is to add new therapies whilst increasing the range of our patented virtual population technology vheart generates unparalleled medical insights and new evidence for biomedical professionals whilst shortening time to market and reducing business and patient risks it narrows the scope for animal testing and tapers real human trials by evaluating clinical study endpoints much faster and earlier in the development process eventually digital avatars become a digital twin of any given patient used as a predictive tool for precision medicine