Dragon09/odtu_chatbot huggingface dataset:
rectifiability and density in carnot and homogeneous groups and applications to partial differential equations

the core of this project is geometric measure theory gmt in homogeneous groups the pi suggests exploring exciting original research avenues regarding the interplay between the concepts of flatness density and regularity of measures and their applications to the theory of partial differential equations pdes and free boundary problems fbps in noneuclidean spaces the projects potential for groundbreaking discovery is achieved by focusing on the investigation of i the extension of the very classical density problem whose solution in euclidean spaces is codified in the celebrated preiss rectifiability theorem to parabolic and kolmogorov spaces ii the quantitative reifenberg theorem for measures in the parabolic space and quantitative dimensional estimates of the mutual singular set for the caloric measure in a twophase problem iii the interplay between differentiability of lipschitz functions and fine geometric properties of radon measures in general homogeneous groups as a byproduct of the study of iii it will be obtained a converse to pansus differentiability theorem
in situ monitoring of the toxicological evolution of nanoplastics in living organisms

nanoplastics npls are one of the most hazardous emerging environmental pollutants we nevertheless still have a limited understanding of the precise toxicological mechanisms in living organisms herein we propose a miniaturized electrochemical sensing platform combined with singlecell techniques to simultaneously and dynamically monitor the concentration of npls ingested by a single cell that is actually causing adverse effect and the release of toxicological markers such as h2o2 h2s or specific dnarna from cellular damage the implementation of this project is based on the innovation of the preparation technology of carbonbased microelectrodes functionalized with alkyl chain monolayer and recognition sites which for the first time will be simultaneously integrated with singlecell analytical techniques for environmental risk assessment investigating the toxicology of npls at the singlecell level can avoid obtaining only the average expression of a population of cells and ignoring intracellular heterogeneity meanwhile the toxicological concentration of npls and the type and concentration of toxicological markers will be efficiently matched screened and quantified using machine learning which can provide a phased and hierarchical understanding of the mechanism of toxicity evolution of npls in individual cells and thus provide accurate references for the prediction of and early warning on the toxic effects of npls on living organisms the development of this interdisciplinary technique is expected to not only broaden the understanding of the hazards of npls and reveal the evolutionary process of toxicity caused by npls but will also provide an analytical platform for toxicological assessment of other types of pollutants moreover it is promising to promote the commercialization of a portable device for the rapid detection of npls in water samples which will provide a powerful tool for environmental protection and household water quality monitoring
sustainable aviation and shipping fuels from microalgae and direct solar bes technologies

algaesol will develop and evaluate several solutions for the sustainable conversion of sunlight into fuels the project will advance current stateoftheart by creating and consolidating new value chains for shipping and aviation fuels based on microalgae and direct solar renewable fuel technologies algaesol will reduce production costs by 25and improve efficiency of converting solar energy carbon dioxide co2 and organic wastes into renewable methanol ch3oh methane ch4 and biooils forming the basis for aviation and shipping fuels various systems biologic photoelectrochemical electrochemical and bioelectrochemical will be evaluated and smart reactor design will be combined with process improvements targeted are microbial contamination control strategies the increase solar to chemical energy conversion efficiencies and improved algal strains to generate lipid superproducers will facilitate extraction followed by innovative purification and hydroprocessing technology to deliver the fuels enhanced sustainability of the developed fuels is also based on a circular bio economy approach by using waste streams and about 80 of residual biomass generate in the algaesol value chain will be recirculated as input for the conversion process the economic and environmental as well as social sustainability will guide the design and scaleup at process level and for the whole value chain in alignment with the european green deal priorities used will be computational modelling and process simulations life cycle analysis lca life cycle costs lcc and social life cycle analysis slca as well as practical engineering approaches through this approach is the overall reduction of the environmental impact when producing biofuels expected to be about 20 relative to todays processes the project will reinforce the european scientific basis technology leadership and competitiveness through international collaborations
decoding hidden structural variants in unsolved rare genomic diseases

rare genomic diseases rgds affect 200 million individuals globally however less than half of patients receive a molecular diagnosis forcing millions into yearlong diagnostic odysseys and limiting the possibilities for personalized care new studies suggest that forms of dna mutation affecting many base pairs of at once socalled structural variations svs and short tandem repeats strs may play a dominant role in the biological underpinnings of many undiagnosed rgds the detectsvrd project will utilise one of the largesttodate rdpatient datasets containing 1400 genomes obtained by latest longread sequencing and optical genome mapping technologies to identify the full spectrum of svs and better understand their impact on disease formation to achieve this a new computational workflow for detecting svs will be developed which will have a special focus on mutations that occur in the most complex repeatrich regions of the human genome using these technological advances svs and strs will be identified across all patients and carefully characterized in terms of their rarity the properties of their breakpoints and likely biological formation mechanisms lastly these insights will be combined with orthogonal omics and phenotypic data to gain new insights into the underlying biology of rare diseases in collaboration with the diagnostic department at radboudumc new genetic tests for svs and strs will finally be implemented to improve patient care the project will for the first time assess the effect of svs and strs even in complex genomic regions comprehensively and provide an estimate for their involvement in the formation of rds in general as well as likely a better understanding of previously undiagnosed rds the project will thus contribute to improving the rate of correct rd diagnoses in the future providing substantial emotional and physical relief to affected patients and their families
photoanodes advanced by costeffective catalysts to secure future solar hydrogen

in the realm of renewable energy the generation of hydrogen via photo and electrochemical water splitting has emerged as a focal point for energy storage and emissions reduction however achieving the desired efficiency remains a formidable challenge primarily due to constraints in the performance of the anodic reaction involving the endergonic oxidation of water and the subsequent release of oxygen despite recent strides current catalysts are either prohibitively expensive or suffer from inadequate stability and durability to address this pressing issue an interdisciplinary and intersectoral consortium comprised of seven academic and two industrial teams endeavors to pioneer a breakthrough solutionour goal is to develop novel materials with enhanced catalytic activity in electrochemical and photochemical water oxidation reactions coupled with stability under operational conditions these materials will be rooted in polychelate macrocyclic and clathrochelate complexes of 3delements the project will pursue systematic synthetic strategies to obtain the desired water oxidation catalysts followed by comprehensive characterization employing various analytical structural and physicochemical methodsby elucidating the factors influencing the catalytic efficiency of water oxidation catalysts the consortium aims to facilitate the rational design of novel photo and electrocatalytic systems for hydrogen and oxygen production from water furthermore pathways for leveraging these new substances as highly effective homogeneous and immobilized molecular catalysts for photo and electrochemical water splitting will be explored fostering innovative technological solutions for energy conversion and environmental preservation through this staff exchange program we anticipate promoting and enhancing the complementarity of the participating teams fostering crossfertilization and cultivating a hub of synergy in research innovation and technology
resilience through reskilling and upskilling for european labour markets in transition

the ongoing global challenges and the twin transition of sectors results in a profound reshaping of the european labour market jobs and necessary competencies and is likely to lead to skill mismatches skillresilience4eu aims to reframe the concept of resilience of the european labour markets under the fastpaced digital and green changes and related challenges and to outline actionable pathways to narrow the labour market mismatches that this twin transition triggers through reskilling and upskilling skillresilience4eus objectives are 1 the development of a novel conceptual framework to understand the impacts of the twin transition on european labour markets in particular job creation and job destruction processes and the interplay between the twin transition and other micro and macro drivers of change 2 the investigation of the complex mechanisms dynamics and challenges that european labour markets undergo through the twin transition and the delivery of recommendations and practical resources to support decision makers in managing the twin transition focusing on the inclusion of left behind groups and places 3 the mapping and evaluation of educational and training programmes for reskilling and upskilling and to deliver recommendations and practical resources to support individuals and employers in managing the twin transition focusing on career guidance and development 4 the promotion and facilitation of the further uptake of the projects key exploitable results and other outputs through active and broad dissemination towards key stakeholder groups it consists of a consortium with interdisciplinary expertise in social sciences and humanities of 7 universities 2 vet providers and 1 local authority and 8 work packages skillresilience4eu will go beyond the state of the art as it can have significant implications on the twin transition of the european labour markets and the design of relevant policies and education and training practices
impact of brca2 deficiency one the dna damage response and immunogenicity of prostate cancer after radioligand therapy

despite current advances in prostate cancer pca treatment 10 to 20 of pca will evolve to a metastatic stage where the overall survival is 14 months radioligand therapy rlt is a new promising treatment consisting in the injection of a radiolabelled vector in pca this therapy targets prostate specific membrane antigen which is overexpressed on pca cells compared to other tissues rlt has been shown to increase the overall survival of patients in clinical trials but in order to improve its efficiency and identify possible biomarkers for patient selection tumour response mechanisms must be studiedespecially some reports indicate that deficiency in dna damage response ddr genes could be correlated to an increased sensitivity of tumour cells towards rlt in pca one of the most frequent deficient ddr gene is breast cancer 2 brca2 which is correlated with bad prognosis in addition retrospective studies showed a potential link between brca2 deficiency and a modulation of the immune response which also influences treatment response therefore brca2 deficiency could impact both the immune response and rlt outcome in this project i will investigate the impact of brca2deficiency on rlt response both the tumour ddr and immunogenicity will be assessed in order to view the treatment response as a whole these studies will be conducted in vitro in murine and human pca cell lines and in in vivo murine model results of my project will show the impact of brca2 deficiency on rlt outcome and whether brca2 status could be used as a biomarker to predetermine potential good responders to rlt besides contributing to the fundamental scientificadvancement on the effect of brca2 deficiency in rlt response i also aim to raising the awareness of these principles in the scientific community and other stakeholders such as clinicians this will open the way to development of potential biomarker of good response to this new treatment
a universal platform for recycling plastic waste using dynamic covalent bonds

despite the ubiquity of plastics in daily life our capacity to recycle endoflife plastic products remains limited today most plastic waste collected in the eu is either sent to landfill or incinerated for energy recovery which releases large amounts of greenhouse gases a promising strategy for transforming the plastics sector into a circular economy is to increase the amount of plastic waste that is mechanically recycled however this amount represents less than 10 of the feedstock used to make new products in the eu because of poor physical properties three formidable challenges are at the origin of this lasting problem chain degradation during processing immiscibility of mixtures comprising different kinds of recycled polymers and reduced ability to efficiently recycle elastomeric materials with permanent bonds we propose to address them with rebond a dn dedicated to developing a versatile platform for reinforcing polymerpolymer interfaces and improving the mechanical properties and processability of recycled plastics we shall implement a novel strategy based on the use of vitrimers which are permanent chemical networks comprising thermallyactivated dynamic covalent crosslinks we envision that processing of recycled polymers can be substantially enhanced through the addition of vitrimers to accomplish this ambitious goal we have devised an interdisciplinary approach involving polymer synthesis structure rheology processing and mechanical properties a superb training program spanning polymer chemistry physics and engineering provides trainees with double doctorates and a unique scientific background with access to the stateoftheart in the field rebond assembles an international team of experts from both academia and industry to provide outstanding intersectorial experience to the next generation of material scientists and pioneers of circular plastics economy
a molecular and cellular mapping of the fenestrated vasculture of the circumventricular organs from physiology to pathology

in the brain the blood vasculature harbours a unique specification the blood brain barrier bbb which restricts bloodbrain exchanges to a select set of molecules this particularity makes neurons blind to most peripheral signal however the peripheral organs and the brain have to communicate to maintain homeostasis and body functions such as metabolism reproduction or growth this dialog occurs in specific brain regions the circumventricular organs cvos characterized by a fenestrated vasculature allowing the free diffusion of bloodborne factors and secretion of neurohormones in the blood stream thus cvos are crucial for the peripherybrain dialog despite the apparent pivotal role of the fenestrated vasculature of the different cvos in the bloodbrain exchanges little is known about their organisation cellular composition and transcriptomic profile unlike the bbb vasculature the fenestrated vasculature of the cvo is poorly described and the role of mural cells known to support bbb vessel development and maintenance in cvo remains undetermined equally unknown is how pathological contexts such as alzheimers disease ad showed to alter bbb vessels integrity and function impact the cvo vasculature in the vesselcvo project we set out to fill in the void of information about the molecular and cellular anatomy of the cvo vasculature the similarities and differences amongst cvos and other fenestrated vasculature of the central nervous system the relative role of mural cells present in these regions and translate this knowledge in the pathological context of alzheimers disease these ambitious objectives will be achieved through the use of a multidisciplinary and complementary set of transcriptomic bioinformatic neuroanatomic and vascular biology approaches this project will result in a better understanding of the brains fenestrated vasculature pivotal for its dialog with peripheral organs in physiological and pathological contexts
smart sectors

dynamic airspace configurations is at the core of the current and future european air traffic system enabling additional airspace capacity is a key factor to address the significant capacity challenges already faced in the recent past and to cope with the expected significant growth in air traffic while maintaining safety improving flight efficiency and reducing environmental impact in line with the strategic goal the main objective of smarts is delivering the right amount of capacity at the right moment and with the maximum efficiency to better serve the air traffic demand the aim is to make the airspace design and configuration process more efficient taking full advantage of the airspace potential sectors and sector configurations should ensure that air traffic controllers can handle the associated workload comfortably to achieve this objective smarts proposes to design sectors and sector configurations based on smart sectors smart in the sense that are aware of the environment traffic and complexity prediction capacity estimation impact on other sectors can act and adapt to improve the environment create a sector design that produces a desired outcome in terms of workloadcomplexity and can communicate with relevant actors both local and network nodes the smart sector is engendered by the design of basic volumes and it is expected to provide the basis for an optimal distribution of workload tailored around specific safety and operational requirements including complexity as a byproduct the application of costefficient capacity actions allows a more accurate dcb planning in the early inap phases thus reducing the number of required demand measures
scientific training for posttranslational modification detection in cancer screening

cancer remains one of the greatest challenges to the eu healthcare systems early detection and diagnosis dramatically increases the prospect of successful treatment and survival academia and the rapidly growing cancer diagnostics and biosensors sectors have an urgent need for researchers skilled in developing improved screening technologies which can offer major opportunities to impact cancer survival however the development of assays with the required sensitivity reliability and technology formats for multicancer early detection is only recently emerging and faces significant rd challengesstrim will train a cohort of researchers in the multidisciplinary science bioinformatics technology social clinical and healtheconomic skills required to deliver comprehensive bioelectronic tools for cancer screening tools that are fast accurate sensitive and exploit advanced molecular receptors and nanobiotechnologies for detection of aberrant posttranslational modifications ptm of proteins and nucleic acids as cuttingedge biofluid markers for early detection of cancers growing evidence suggests that ptm play important roles in human cancers and are likely to prove highly specific for cancer type focusing on both genomic and proteomic ptm biomarkers will be a gamechanging strategy for improving early cancer detection rates efficiency and population healthdoctoral training in strim will encompass stateofthe art approaches for ultrasensitive detection of ptm biomarkers as cancer screening tools by building on recent advances in electrochemiluminescence aptamer and dna microarrays and conducting polymer microstructured electrodes these techniques will reach new levels of specificity and overcome barriers to the realization of multiplexed diagnostics for enhanced cancer screening all translational issues will be considered in harmonization with regulatory and health technology assessment and social acceptability will be screened in the population
monitoring and assessing prevention and restoration solutions to combat desertification

the main goal of monalisa is to identify and promote the expansion of innovative and tailored solutions to prevent and reverse land degradation and desertification ldd while showcasing their socioeconomic and environmental effectiveness monalisa will put in place a transdisciplinary approach to integrate scientific and local knowledge emerging from newly and established social learning spaces with multisector stakeholders and multidisciplinary and interdisciplinary researchers work will be carried out in six mediterranean case studies cs encompassing different levels of aridity across five countries european italy spain and greece and noneuropean tunisia and palestine in the cs the following solutions to prevent and restore ldd will be assessed and scaledout i innovative grazing systems eg adaptive multipaddock grazing systems ii microbialbased solutions eg biofertilizers and symbiotic nfixing rhizobia iii conservation agriculture practices eg cover crops and reduced tillage iv ecological restoration practices eg harvesting and seeding of residual plant materials in protected grasslands green infrastructures v water harvesting techniques vi treated wastewater reuse in agriculture one of the main outputs of monalisa will be a multimodular practiceoriented decision support system composed of several webbased applications that will leverage innovative data and technologies including from remote sensing and artificial intelligence monalisa will focus on new business opportunities with and not only for stakeholders taking into account costbenefit and market analysis and the promotion of public and private investments the main goal will be the promotion and adoption of sustainable and environmentallyfriendly solutions for ldd while contributing to support the economic growth of european and mediterranean drylands