Dragon09/odtu_chatbot huggingface dataset:
ecological and evolutionary role of specialized bacteria in algae health and carbon sequestration

marine algae fixing co2 into organic matter is central to the global carbon cycle while the food chain and marine bacteria consume roughly half of the fixed carbon a hardertodegrade fraction remains in the ocean naturally sequestering co2 and lessening climate change effects this remaining fraction is mainly derived from algal complex glycans that provide structural support defense against microbial pathogens and can be a carbon source for the algae microbiome the specialized bacteria feeding on complex glycans are integral to the algae microbiome yet have been historically dismissed eroders focuses on the unidentified mechanisms supporting the interactions between bacteria feeding on complex fucosecontaining sulfated polysaccharides fcps and the host algae that produce them i propose that specialized bacteria have coevolved with algae and have a key role in unlocking glycans that maintain the algae microbiome and simultaneously modify the structure of glycans that participate in carbon sequestration processes bacteria belonging to the verrucomicrobiota and planctomycetota phyla are the only groups living on algae that carry the enzymes to consume fcsps using a combination of cuttingedge approaches multiomic visualization and physiologic examination we will expand into the unknown diversity and population structure of fcsp degrading bacteria on micro and macroalgae to tease apart the effects on algae health we will incubate the model brown algae ectocarpus with fcspdegrading bacteria under laboratory conditions and examine both the response of incubated bacteria and the impact on the algae growth and its microbiome this proposal presents a unique opportunity to unveil the microbial diversity and mechanisms that link bacteria to the metabolism of complex glycans involved in carbon sequestration processes and the evolutionary significance shaping the relationship between bacteria hosts with implications from marine to gut ecosystems
clinical validation of glix1 a small molecule that targets epigenetic changes in cancer cells to treat glioblastoma multiforme gbm the highest global unmet need in oncology

glioblastoma multiform gbm patients usually die 1218 months after diagnosis with a 5year survival rate of 68 there are only 5 therapies approved to treat gbm and all of them provide marginal improvements of 9 months to patients survival with a clinical pipeline that is constantly failing last approval in 2004 and the lack of effective therapies gbm remains the highest unmet need in oncologyafter years of research we discovered the glix family which targets a newly discovered mechanism that is deregulated in cancer cells glix1 was more effective than the current standard of care at killing several gbm cell lines in vivo studies showed tumour regression in 100 of mice with a tumour growth inhibition of 94 with such promising results and an experienced team glix1 is now ready for clinical validation the support from the eic will help us to prove the clinical safety and efficacy of glix1 and make it globally available through licensing to a large pharma company
sustainable technologies for reducing europes battery raw materials dependance

in streams a comprehensive portfolio of at least 12 scalable and flexible technologies and pilot scale solutions for the sustainable production of batterygrade precursors and their respective anode and cathode active materials will be developed evaluated and successfully demonstrated these technological processes will be applied to materials from primary and secondary sources including recycled battery mass and photovoltaic waste this will strengthen europes domestic battery materials supply chain and reduce europes dependency on imported critical and strategic raw materials supplies the production technologies will also increase europes resilience competitiveness and strategic autonomy in the global battery manufacturing industry streams technological solutions will meet eu requirements for environmentally responsible design and scale up and anticipate regulatory compliance by conducting technoeconomic environmental social impact and integrated risks assessments combined with life cycle sustainability and circularity assessments the cathode and anode active materials synthesized in streams will be used to manufacture 10 ah battery cells at pilot scale using sustainable electrode processing prototype cells will be tested according to established standards and subjected to advanced postmortem characterization stream will also identify optimal conditions for future exploitation of the project results
hybrid imaging in the catheterization room

hybrid imaging in the catheterization room in the previouslycompleted erc cog we have developed a patented carm scanner called ixsi which can accomplish realtime hybrid image guidance in dynamic environments such as the intervention and the catheterization room thus far we have evaluated ixsi for oncological purposes but more recently we have identified a new potential application in the field of interventional cardiology in which hybrid imaging may help for determining the culprit vessel during the interventional procedure or directly evaluating the outcome of a treatment in this erc proof of concept we will explore whether the new proposed application of ixsi is worth pursuing further we will perform four tasks i we will investigate for which groups of cardiology patients or treatments ixsi may provide the greatest benefit and assess their market share ii we will evaluate the performance of ixsi for cardiology by developing custommade testing devices iii we will investigate whether ixsi can be made more costeffective for cardiology by making hardware modifications and iv by combining the information from the previous activities we will develop a business case of ixsi specifically for cardiac interventions should it be demonstrated that ixsi can aid cardiac interventions then we expect that our developed technology will be much quicker implemented in the clinic seeing that the proposed application field is massive and the incentive for commercialization would be greater close to 1 million pci procedures are performed per year in the us alone
scanning probe microscopy in high vectorial magnetic fields new device for imaging quantum materials

the invention of the scanning tunneling microscope stm and of other similar devices was a revolution for research at atomic scale many companies offer microscopes which can be used to study materials at atomic scale as a function of temperature or magnetic field however unlike temperature the magnetic field is a vector quantity the direction of the magnetic field vector is as important as its magnitude when it comes to study properties of materials at atomic scale the only solution available today to vary the vector of the magnetic field is to build a set of three separate solenoids with which one can generate separately the three components of the magnetic field vector however this unavoidably implies a significant reduction of the magnitude of the largest vectorial fields that one can obtain typically at most 12 t the eu proposal vectorfieldimaging will overcome this challenge by developing new technology to modify the orientation of the entire microscope with respect to the solenoid this will provide a significantly lesscostly solution that will allow the direction of the magnetic field to be varied at the highest available magnetic fields opening the door to the microscopic studies of many quantum phenomena specifically the project will focus on a proof of concept by establishing technical feasibility usability and commercialization of prototypes that allow turning a stm inside a high magnetic field solenoid tested in an operational environment by end users if successful this technology will make a real breakthrough in the area of quantum materials by allowing visualization by means of scanning probes at very high vectorial magnetic fields
analyzing and exploiting inexactness in exascale matrix computations

scientific computing inherently involves multiple sources of inexactness from discretization or simplification of the problem to noisy data to finite precision rounding errors to approximations made to increase parallelism to stopping computations intentionally to improve efficiency the standard stateoftheart approach is to analyze different sources of error separately there is currently no solid foundation or systematic approach for combining multiple sources of inexactness together and studying their interaction developing reliable approaches for exascale requires filling this gap which must start with establishing a new rigorous foundation for analyzing multiple sources of error in matrix computations without this basis the quest for efficiency in areas vitally depending on matrix computations including for example data science and machine learning will remain reliant on a trialanderror approach this project aims to break the current modular approach to the analysis and design of algorithms for matrix computations by understanding how different sources of inexactness interact while being propagated through a computation and their effect on numerical behavior and solution quality our holistic approach rooted in rigorous theoretical analysis will reveal opportunities for developing new algorithms for exascale problems that exploit inexactness to balance performance and accuracy the project is structured around four fundamental objectives wp1 analysis of exascale matrix computations subject to multiple sources of inexactnesswp2 development of new algorithms that exploit inexactness that are both fast and provably accuratewp3 making error analysis of exascale computations meaningful in practicewp4 exploring emerging sources of inexactness beyond the exascale eraour approach will lead to new methodologies that can change current paradigms
a cosmological lever arm for fundamental physics

key open questions in the boundary of cosmology and fundamental physics can be addressed by studies of the distribution of matter as a function of scale and time or redshift while the traditional approach has been to use large galaxy catalogues during the last decade i have pioneered the use of an alternative probe 3d correlations in the lyman ly forest absorption features in the spectra of highredshift quasars caused by intervening neutral hydrogen the ly forest provides a unique window to study the distribution of matter at earlier times and on smaller scales than those accessible with galaxy cataloguesi lead the ly analysis of the dark energy spectroscopic instrument desi survey and with erc support i will be able to develop and apply new techniques to dramatically enhance its expected outcome on one hand cosmolya we will use the correlations on large 30 mpc scales to obtain a 05 measurement of the expansion rate of the universe at z 2 four times better than the stateoftheart on the other hand we will carry out the first coherent analysis of 1d and 3d correlations to provide a 1 measurement of the amplitude of density fluctuations on small 1 mpc scales unreachable by other probes in combination with public cmb results sensitive to the distribution of matter at early times and on the largest scales we will be able to construct a cosmological lever arm covering 4 orders of magnitude in scale this will enable my team to i increase by at least a factor of 2 the constraints on the sum of the neutrino masses potentially leading to the first measurement of the absolute neutrino masses ii increase by at least a factor of 3 our constraints on the shape of the primordial power spectrum of density fluctuations an important step towards confirming or falsifying a large number of inflationary models these results will have interdisciplinary impact with wide reaching consequences into particle and fundamental physics
green processing and valorization of organic byproducts of distilleries as novel approaches for climatesmart protein applications for alternative food and circular bioeconomy

food systems have created demand for addressing adequate nutrition safe healthy accessible and affordable food under the pressure of increasing trend of the global population projected to reach 10 billion by 2050 climate changes pandemics economic crisis growth in the dietary supplements segment and many more sustainable and costefficient development of innovative food sources are needed to meet the projected nutrition demand which have recently attracted the attention of both producers and consumers conversely the significant losses and waste production by the processing industries are becoming a serious nutritional economical and environmental issue the aim of bionovfood project is to propose novel approaches to valorize the distillery organic byproducts and to include them into a biorefinery system these will be used as raw materials in processes aimed at the recoveryseparation of bioproducts with a focus on the production of proteins for food application to reach this goal will be developed on a pilotdemo scale process concepts for bio converting grape marcs wine lees and vinasse generated from the distillery industry into proteinrich ingredients to be used for the production of alternative food products life cycle assessment and technoeconomic aspects for the production of protein sources produced from edible and safe fungi will be investigated with proteins produced will be designed and developed novel food bionovfood project constitute the starting point for the understanding that distilleries byproducts can significantly contribute to the future production of alternative proteinrich fungal biomass for food applications indeed it will create synergies and cobenefits across 4 priority areas nutrition and healthy diets climate and environment circularity and resource efficiency and innovation this project is a unique opportunity for my career and will boost my scientific profile
adaptive separation using dynamic nanofibril networks

this research program will develop materials methods and technologies that enable adaptive separation of molecules and particles using dynamic nanofibril networks the groundbreaking nature is the development of dynamically tunable membranesgels for nextgeneration separation technology current separation technologies are based primarily on polymeric membranes or gels for membrane filtration or chromatography membrane filtration is versatile but lacks selectivity while chromatography is selective but with limited throughput as pharmaceutical companies move toward protein or nanoparticlebased therapies the size limitation of chromatography is a concern the future separation technology should be adaptive and selective with high resolution and throughput it is time to develop nextgeneration separation technology that enables dynamic adaptability and integration with our electronic infrastructure and ai technologyhydrated nanofibril networks with unique nanomechanical behavior a vast dynamic density range and large pore sizes enable tunability that polymer networks cannot achieve it is an unexplored class of materials for separation purposes now available at scale due to recent cellulose and amyloid nanofibrils developments nanofibrils assemble in anisotropic hydrogel networks with a uniaxial swelling ranging from 0 to 1000 gg water content with pore sizes from a few to 1000 nm i will study how different pretreatments or stimuli such as electrochemistry enable direct control of this 1000fold change in pore size which is unachievable for polymers i will explore different modes of separation centrifugation filtration electrofiltration and ionselectivity using nanofibril networks as an adaptive mesh to sieverepel molecules and particles of different sizes and charges the outcome is a scientific foundation exploring how lowdensity nanofibril networks can lead to disruptive separation technology in a multibilliondollar industry
tools and methods for extended plant phenotyping and envirotyping services of european research infrastructures

europe urgently needs to find pathways towards agroecological transition of agroecosystems in support to food security climate change resilience biodiversity and soil carbon stocks restoration in phenet the european research infrastructures ri on plant phenotyping emphasis ecosystems experimentation anaee longterm observation elter and data management and bioinformatics elixir will join their forces to codevelop with a diversity of innovative companies new tools and methods meant to contribute to new ri services for the identification of futureproofed combinations of species genotypes and management practices in front of the most likely climatic scenarios across europe ambitioning to go beyond current highly instrumented but often spatially and temporally limited ri installations phenet derived services will allow wide access to enlarged sources of insitu phenotypic and environmental data thanks to i new aibased multi agroecologyrelated traits multisensors devices ii to unleashed access to high resolution earth observation data connected to ground based data iii fair data support for connection with iv new generation of predictive modeling solutions encompassing ai and digital twins developments will be challenged by and implemented in a series of eight use cases covering a large range of agroecosystems but also of ecosystems to demonstrate portability of solutions several of these use cases will mobilize onfarm data a large effort will be devoted to training ri staff and beyond through a sustained collection of training material fed by experts outreaching activities will aim at enlarging the range of ri users phenet will not only strengthen ri but will also have major impact on the development of innovative companies on phenotyping envirotyping and precision agriculture as well as on the emergence of climate smart crop varieties and innovative practices fitted to climate change and agroecological transition
improving mediterranean cyclones predictions in seasonal forecasts with artificial intelligence

cyclones form frequently over the mediterranean sea the most intense systems cause extensive damage in the region and beyond the ability to make climate predictions several months in advance of such extreme events has a large number of crucial socioeconomic applications for disaster risk reductionstateof theart seasonal prediction systems exhibit a good skill in predicting anomalies in the seasonal mean of meteorological fields such as temperature and precipitation the models ability to reproduce variations in the occurrence of extreme events tends to be however much lower this is particularly true in regions such as the mediterranean where extreme events are often driven by small scale processes that are not well reproduced at the resolution at which sps typically runthe use of artificial intelligence techniques such as machine learning in the study of climate has gained great traction in recent years the power of those techniques lies in the ability to detect patterns in large datasets without having to make explicit statistical assumptions allowing to build predictive model whose skill continuously improves as the volume of data on which the models are trained increases one promising field of application is to use artificial intelligence to improve the prediction of extremes in climate models in this setting a machine learning model is trained to find relationships between largescale climate variables for which dynamical models have a good predictive skill and the occurrence of extremesthe aim of this project is to improve the predictability of intense mediterranean cyclones combining advanced artificial intelligence techniques and a stateoftheart dynamical seasonal prediction system the project will not only contribute to the knowledge of climate extremes predictability but also lead to the implementation of a preoperational dynamicalstatistical prediction system with the potential to be extended to include different extremes
the mediterranean as a laboratory of globalisation the francoottoman cloth trade 1683c1715

in the early 1700s france overcame english and dutch competition to become the ottoman empires main european trading partner to date historians have focussed on jeanbaptiste colbert louis xivs infamous minister and his influence on the crucial francoottoman trade in woollen cloth yet they have neglected the boom in this trade after colberts death in 1683 overseen by jeanbaptiste de lagny the director general of commerce from 1686 to 1700by treating the mediterranean as a laboratory of globalisation globalmed asks why this trade flourished moreover it explores the trades significance in influencing the states global commercial policy analysing how frances levantine success shaped its engagement with noncolonial markets overseas in this way the project will challenge current orthodoxies on the rise of the atlantic world by reconsidering the early modern states role as a motor of globalisation and industrial development
cuban higher education reform a policy ethnography

higher education he is one of the flagships of the cuban revolution research on cuban he policies focuses on the desired outcomes within policy documents nevertheless there is a lack of studies analysing how stakeholders implement those policies on the ground by translating policy documents into practices and relationships or how policy documents shape universities organisational cultures peoples identities and power relationships therefore it is timely to describe how cubas centralised he policy documents are translated on the ground at the university of holguin from 2000 onwards just in 2000 the socalled third educational revolution began in cuba bringing farreaching transformations within higher education to date it is a largescale process of changes ethnographically unexplored by undertaking both the anthropology of policy and anthropology of education approaches cherpe draws the following objective to describe how university actors translate the cuban he policy documents on the ground into relationships powers actions new organisational structures individual or collective strategies and new identities the university of holguin in cuba will be a case study coming from the anthropology of policy approach studying through is a sound strategy to study processes of political transformations through space and time in which i will combine documentary analysis interview focus group and participant observation by using these interdisciplinary methods i will bring a pioneering ethnographic methodology to the cuban context that will advance both the fields of policy studies and anthropology the fellowship will furnish me with expertise in policy and he studies and will drive my publication record allowing me to apply for a better academic position i will further the cuban he policy field and the anthropological approaches that cherpe addressed