Dragon09/odtu_chatbot huggingface dataset:
sustainable and recyclable polymeric thermosets

the concerns connected to petroleumbased origin of polymeric materials and the problems related to the accumulation of plastic waste in the environment need an urgent solution one possible strategy to address this dramatic situation is the exploitation of biobased resources as precursors for polymers in particular the valorization of agrofood wastes via extraction of polymeric precursors could be a winning strategy furthermore the implementation of dynamicity in crosslinked polymeric materials with the introduction into the polymeric networks of labile noncovalent and dynamic bonds capable of undergoing reversible formation and cleavage will give to the corresponding materials innovative recyclability propertieswithin this frame this project aims to face the complex challenge of the production of sustainable and recyclable polymeric thermosets the proposed target can be reached by exploiting the peculiar properties of vitrimers which allows a direct recyclability or reprocessability of the polymeric networks on the other hand the use of biobased polymers holds great promises for the development of sustainable materials therefore the integration of vitrimer properties with biobased materials appears a great combination of choice to achieve the expected aim for this reasons surepolymer has assembled an international team of researchers whose expertise spans green chemical synthesis biopolymer functionalization polymer photochemistry vitrimer design and 3dprinting technology for object fabrication the project will be run within the international and intersectoral consortium where different and complementary competences of the partners will be shared and exploited creating synergisms the aim is within the objective of the mscase call where transfer of skills and competences will lead to improved employability and career prospective of the involved seconded staff members
a combined diagnostic and targeted gene therapy platform for brain tumor relapse

emergence of therapy resistance is a major cause of death following conventional chemotherapy and radiation for children and adults with malignant brain tumors it is imperative to find novel options to target therapyresistant brain tumor populations to save lives we propose a novel platform providing a prognostic tool and a suicide gene therapy tool using engineered viruses it involves targeting freshly biopsied cells from brain tumor patients with our strategy in combination with standard therapy to predict risk of patients developing relapse and a gene therapy suicide tool to remove cells causing relapse previous suicide gene therapies have only used viruses hitting dividing tumor cells our strategy will use an enigneered virus targeting nondividing tumor cells that we know escape standard therapy after removing the tumor bulk using standard treatment we propose to use our virus with a marker for diagnostic purposes or a with a suicide gene that will be activated by a prodrug to eradicate therapyresistant cells prodrug administration before recurrence will eliminate relapsed cells once they start dividing and become dangerousthe impact of our strategy will be high providing health care professionals with a better tool to identify patients at high risk of developing recurrence such patients can receive a better more tailored treatment that will not only increase their chance of survival but also reduce their time under hospital care and rehabilitation we protected our strategy with a filed patent and assessed our regulatory needs we completed a market analysis to evaluate market size and potential benefit for cancer patients we have disclosed competitors but also potential collaborators that can cofinance and move our strategy forward to in vitro diagnostic device registration and initial clinical trials in our proposal we will apply for funding covering lab work to test efficacy and safety help with registration and negotitation strategies
screening souls building nations macedonias as a laboratory for balkanwide authoritatianism

the project aims to investigate a littleexplored and usually neglected aspect of the macedonian question throughout the late nineteenth and most of the twentieth century namely the function of the macedonian question as a catalyst and a testing ground for the emergence development and consolidation of authoritarian state policies on a nationwide scale in all the balkan nationstates involved in other words how the tools used by the rival nation states to extract national loyalty in late ottoman macedonia where nation had been widely conceived first and foremost as a political party were subsequently transformed into a far broader method of social and political controlmacauth will examine the transfer of particular administrative practices of surveillance control and political indoctrination as well as statesponsored violence and its ideological justification in the name of national expediency from the initial field of their application in ottoman and postottoman macedonia to the mainstream political and social life of greece bulgaria and serbiayugoslavia as well as to the respective diasporic communities the impact of the same heritage in romania albania the ottoman empire and its successor nation state the turkish republic will also be assessed the research team consists of historians from all five balkan countries which have been historically involved in the macedonian conflict greece north macedonia bulgaria serbia and romania plus experts on albania and the ottoman empire it is composed of the pi nine postdoctoral fellows and senior researchers two research assistants and two phd candidates with their supervisors they will produce a main monograph at least a thematic collective volume and 20 articles in peerreviewed journals two phd dissertations three workshops an international conference a journalists conference for the dissemination of the projects output and a website
enantioselective n csp3h functionalization of amides by trifunctional catalytic systems

the trifunctional catalytic systems tcs consisting of bifunctional photocatalysts and transition metals will be designed to achieve the enantioselective n csp3h functionalization of amides enchfa mechanistically the bifunctional chiral hydrogen bondingbased aryl ketones will activate the amides to form amido radicals via hat and control their reactivity in an enantioselective manner while transition metal will provide another opportunity to active substrates and accomplish the photocatalytic cycle via a radical relay combining chiral hydrogen bondingbased aryl ketones with co catalysis the protocol will develop the external oxidantfree enantioselective n ch alkenylation arylation and alkoxylation of amides with h2 evolution furthermore the enantioselective n ch trifluoromethylation of amides will be relized by merging chiral hydrogen bondingbased aryl ketones with cu catalysis the trifunctional catalytic systems will not only enrich the types of enantioselective ch functionalization of amides but also reveal the mechanism of trifunctional catalytic systems as well as provide guidance for designing multiple systems in asymmetric catalysis
evolution of the copernicus land service portfolio integrating novel eo data and latest machine learning algorithms to continuously monitor the status dynamics and biomass of the land surface

the horizon europe evoland evolution of the copernicus land service portfolio proposal aims at developing innovative methods algorithms and candidate copernicus land monitoring service clms prototypes monitoring the status and changes of land useland cover and various land surface characteristics at high spatial and temporal resolution specifically evoland will address eleven nextgeneration clms product candidates by integrating innovative approaches in data fusion machine learning continuous monitoring and biomass mapping as well as through integration of novel eo and insitu data evoland will analyse policy data and infrastructure requirements for the prototype services by interacting with the relevant entrusted entities as well as the main copernicus land stakeholders and users these requirements will steer all methodological developments algorithms will be developed tested and implemented in an efficient modular and scalable way on opensource infrastructure on various representative test sites located both within and outside europe in a subsequent demonstration phase the candidate services will be prototypically implemented over larger regions focusing on key thematic domains such as agriculture forest water urban and general land cover finally all candidate services will be regularly analysed in view of their innovation and policy support potential technical excellence and operational readiness and a strategy to transferring these services to operations will be proposed the ambition of evoland is thus to support the entrusted entities by dedicated research providing tangible proof of the evolution potential of the clms in terms of improved information content quality and timeliness and enable wellinformed and factsbased decisionmaking on the future of the clms
integrated nanophotonic omics biosensor for lung cancer

omicsens aims to develop a radically new omics measurement platform that would be initially applied to improve nonsmall cell lung cancer nsclc prognosis by ensuring a timely and accurate detection of tyrosine kinase inhibitor tki resistance associated to epidermal growth factor receptor egfr mutations subsequently omicsens will be used to improve prognosis of patients suffering from other types of cancers omicsens targets the creation of the first nanophotonic integrated omics biosensor to tackle tki resistance and improve nsclc treatment outcome and patient prognosis thanks to omicsens we will build a six layers technology comprised of an onchip embedded infrared source arrays an artificial intelligence optimized nanostructured surface for photonic signal enhancement a functionalized surface of high absorbance to specific analytes a microfluidics system to deliver the sample a metamaterialbased photo detector array with optimized quantum efficiency and an ai algorithm enabling analyte quantification our miniaturized omics biosensor will enable real time and concurrent measurements of omics compatible with organonchip ooc in the future ooc is one of the most promising bioengineering developments paving the way to more efficient drug testing and personalized medicine trough digital twinning of a biological system but ooc is lacking a realtime integrated biosensing technology omicsens proposes a disruptive biosensor to bridge this gap omicsens will create a radically new device useful for telehealth capable of improving medical diagnostics while fostering a patientcentered approach to achieve our novel and ambitious objective we have brought together an interdisciplinary consortium of toplevel academics lmu unitn ibec kth and smes mw qai 4kmems including expertise in oncology bioengineering microfluidics biochemistry mems nanophotonics computational physics and artificial intelligence
innovative minimally invasive medical prostatic retraction device for the treatment of benign prostatic hyperplasia bph patients in the office settings

butterfly medical a medicaldevice startup is developing a fast simple and minimally invasive alternative treatment to medication and surgery used for benign prostate hyperplasia bph treatment butterflys innovative device transfers the procedure from the operating room to the clinic with the device being placed in 6 to 8 minutes in doctors office under local anaesthesia butterflys unique anatomically shaped proprietary nitinol implant is positioned in the prostatic urethra in order to open the urine path in the prostate for improved urine flow thereby relieving bph symptoms implant doesnt require any resection cutting or ablation of prostatic tissuefih clinical trials involving 85 patients performed in leading medical centres in israel show a high degree of safety and effectiveness through this eic project butterfly will undertake postmarketing studies in leading medical centres in europe and pivotal fda study in the us
automated assessment and certification compliance of organisations systems data and ai operations in a human understandable context

accomplish aims at increasing the readiness of enterprises of any size to face an era of unprecedented regulatory scrutiny by simplifying integrating and automating compliance in their dataai operations their dataai assets their solutions and eventually their overall organisations accomplish will deliver a novel aibased compliance and certification framework crosscutting the regulatorylegal environmental cybersecurity and businessindustryspecific compliance perspectives to modernise automate and trace the compliance and certification processes with the help of opensource welldefined and extensible compliance policy models while always ensuring a humanintheloop hitl approach explaining the compliance requirements and results as well as proactively alerting about any potential risksviolations through the accomplish compliance digital passport the previously static compliance and certification assessments will be transformed into uptodate compliance proof that effectively promotes transparency and accountability for any interested stakeholder accomplish shall also deliver inherentlycompliant data economy enablers for dataai operations as reliable mechanisms to design execute and traceobserve the data and aiml pipelines as well as to monitorcontrol their outputs in terms of datasets mldl models analytics results in order to demonstrate the actual innovation and added value that can be derived through the accomplish advancements the accomplish results will be validated i through their actual application to address reallife problems in four representative industries that are characterised by a varying maturity level of dataai operations and compliance a energy b automotive c robotics manufacturing and d aviation ii through their integration in different digital solutions either open source or commercial to showcase their application within the established data spaces andor ai market landscape
patterns of spontaneous activity in the assembly and rewiring of functional sensory circuits

it is commonly held that spontaneous activity in the immature brain prepares the neural circuits to process sensory information at the onset of experience the best studied patterns of such activity are those observed postnatally in rodents during stages that resemble the last months of gestation in humans however the features and functions of spontaneous activity at earlier stages when the brains foundations are laid down and cortical areal identities are acquired remain largely unknown here i propose to develop an extensive and creative research program aimed at understanding the role of the patterns of spontaneous activity in the specification of sensory cortices and longterm plasticity this novel line of research is founded on strong preliminary results and pursues the hypothesis that different cortical sensory territories exhibit unique patterns of spontaneous activity that interact with emerging areaspecific transcriptional programs to specify sensory areas functionally we will first extract the earliest patterns of spontaneous activity from cortical and subcortical territories in embryonic and perinatal mice in vivo and study their concurrent spatiotemporal genetic signatures by singlecell transcriptomics next we will perturb these early activity patterns within a specific sensory modality to reveal if such perturbation modifies the genetic landscape and affects sensory identity finally we will evaluate the behavioural consequences of functional cortical respecification in adult mice spontsense will set the stage to understand the principles of sensory circuit development and shed new light on the brain plasticity following sensory defects i envisage that this information will pave the way to devise strategies that may serve to direct these programs of plasticity in clinical situations as when sensory input has been compromised
new molecular understanding of mental disorders through deep cerebrospinal fluid phenotyping

psychiatry is lacking truly objective markers and the limited molecular understanding of disease mechanism underlying mental disorders inhibits us to design new therapies for which identification of novel treatment targets are urgently needed no study has yet conducted deep phenotyping of the cerebrospinal fluid csf which is the biological material closest to the brain that is assessable for direct investigations in intra vitam and no large longitudinal csf studies on mental disorders currently existsi aim at a paradigm change by advancing the current stateoftheart through novel deep csf phenotyping on unique csf samples from individuals with first episode psychotic disorders depression and healthy controls to be followedup longitudinally clinically and in nationwide registers pushing the frontiers of knowledge within psychiatry i will use novel technologies and for the firsttime for these disorders use cutting edge single cell sequencing of cell compartments in the csf potentially involved in or affected by disease with a particular focus on t cell alterations for the first time longitudinal omics analyses will be conducted with targeted and untargeted metabolomics and proteomics to identify disease relevant metabolites and proteins in the csf increasing the understanding of molecular mechanisms of psychiatric symptoms and diagnosis systems biology and deep learning approaches will provide crucial insights into biological pathways and the interplay between brain pathophysiological mechanisms in a crossdiagnostic manner potentially identifying biologically distinct clusters disentangling the involved molecular mechanismsthis approach is unprecedented identification of novel therapeutic targets increasing the understanding of mental disorders and insights to molecular mechanisms through deep csf phenotyping has a groundbreaking potential for psychiatry and neuroscience paving the way for more effective and mechanismbased treatment
realizing the benefits of safetysecurity coanalysis through effective tool support

effective tool support for the joint analysis of safety and security risks is long overdue risk management is an important activity to ensure the reliable functioning of technology such as power plants and selfdriving cars risks include both safety accidental failures and security aspects malicious attacks historically safety and security risks have been analyzed in isolation despite often conflicting with each other effective decisionmaking requires considering safety and security risks in combination as measures that increase safety may decrease security and vice versamy consolidator grant caesar has laid out the groundwork for a safetysecurity coanalysis framework 1 a graphical risk model mapping how vulnerabilities and failures propagate and cause systemlevel disruptions 2 efficient algorithms to compute risk metrics indicating how well a system performs in terms of safetysecurity 3 algorithms that quantify the uncertainty of the analysis algorithms in rubicon i will develop a poc software tool that supports methods from caesar advancing from trl1 to trl3 key challenges to be tackled includescaling up analysis methods to handle industrysize problems by tailoring algorithms to work with specific subclasses that appear in practice improve the interpretability of calculated outcomes we will develop diagnostic feedback methods based on counter example analysis and importance factorsmultiobjective optimization techniques when dealing with multiple interdependent parameters conflicting requirements often arise due to resource constraints and varying priorities rubicon will develop optimal strategies to effectively balance such conflicts exploiting and advancing paretoanalysis the proofofconcept tool will be tested and validated via lab and pilot studies across different industrial domains a serious market analysis will lay out an actionable strategy to commercialize the poc tool postproject
tensor modeling geometry and optimisation

tenors aims to form the next generation of researchers and engineers in scientific computing and data analysis disrupting the current paradigms of tensor calculus by exploiting cuttingedge research in geometry and optimisation tensors are nowadays ubiquitous in many domains of applied mathematics computer science signal processing data processing machine learning and in the emerging area of quantum computing the demand for highly trained scientists with a deep understanding of tensor methods and with advanced knowledge in the geometry of tensor spaces with skills on the design of efficient algorithms and software handling tensor computation and in the applications of high performance tensor computation is raising in many fields including machine learning and quantum computation which are nowadays expanding very quicklytenors contributes to satisfy this demand by fostering scientific and technological advances in the area of tensor sciences stimulating interdisciplinary and intersectoriality knowledge exchange between algebraists geometers computer scientists numerical analysts data analysts physicists quantum scientists and industrial actors facing reallife tensorbased problems in a network of phd students at its corea unique strength of the network is to gather topresearchers of these different domains tenors will train young scientists in academy or industry in how to exploit the best of these techniques efficiently and disseminate this knowledge to industry as a truly multidisciplinary network tenors will at the same time seek to apply these new techniques to reallife applications thanks to the industrial actors involved in the network
4deep brain reconstruction

the 4deep brain reconstruction 4dbr consortium aims at generating a brandnew technological approach to regenerate brain affections that occurs in neurological disorders with 180 million affected people and an economic burden of 798 billion eurosyear europe needs a radical leap in the future the complexity of the human brain has condemned every past attempt at regeneration because incomplete technologies did not allow for a full recapitulation of the brain properties and any one of them missing jeopardized the functionality of the whole there cant be any incremental solution for brain damage the technology must be allin 4dbr will focus on developing an implantable 4d reconstructed brain able to recapitulate all brain properties a complex architecture of neuronal cells integrated in a complete blood circuitry that will be complemented with an integrated optostimulator to induce correct specification and integration of neurons 4dbr integrates 6 technological leaders from complementary fields who will unite to develop the components of reconstructedbrains laserassisted bioprinting of predifferentiated neurons with their native decellularized brain matrix extrusion bioprinting of vascular system in vitro bloodbrainbarrier reconstruction and a tissue integrated wirelesscontrolled stimulating optoelectrical chip these 4 components will then be combined into a transplantable reconstructed brain that will be tested in a small animal model of huntingtons disease while a first prototype will be delivered in 36 months the vision unifying 4dbr expands way further therefore the project will put into action a strong dissemination and exploitation plan horizontally 4dbr will ensure the uptake of the generated methods to strengthen europes technological actors vertically 4dbr will thrust the reconstructed brain approach up in the development ladder to potentially generate in a 10year span a therapy to change the lives of many patients