Dragon09/odtu_chatbot huggingface dataset:
healthy soil for urban agriculture through nutrient and carbon circularity

many policies promote urban and periurban agriculture ua through circularity of nutrients to increase food autonomy minimize food losses and reduce environmental impacts associated to transport mineral fertilizer production and waste management yet up to date most eu cities have low local crop production and although they generate vast volumes of nutrientrich waste nutrient recovery through composting and wastewater treatment to substitute mineral fertilizer for application in ua is still anecdotal what is hindering nutrient circularity for application in ua and what can be done to overcome the obstacles the variability and quality of recovered nutrients is one key issue however there is a more important underlying problem that has not been addressed the impoverished state and quality of the urban and periurban agricultural soil adding nutrients to a carbondeficient soil is counterproductive resulting in reduced rooting patterns increased sensitivity to draughts and ultimately lower yields the solution to impoverished soils and poor local crop production lies in the cities themselves a large proportion of urban residues are rich in decomposable organic carbon and can be used to enhance soil microbiota function counteract acidification and improve soil quality and nutrient cycling efficiency the pathway towards ua is to preserve and increase soil om while increasing nutrient recovery in urban areas and this can be achieved through resource circularity right within the city the goal of nutrisoil is to clearly identify address and resolve these soilrelated obstacles to the sustainable implementation of ua in cities by providing the technical expertise and creating a knowledge transfer exchange amongst farmers composting facilities wwtps administration policy makers and the various governing and coordinating associations implicated in the entire cycle of nutrients in the city from waste to food
complexity in dynamical systems algebra and geometry

the overall goal of the project is to study relations between different measures of complexity of dynamical systems fractal sets and groups the main objects of our interest are iterated monodromy groups imgs which are selfsimilar groups naturally associated to certain dynamical systems such as the iteration of a rational map on the riemann sphere imgs provide a prominent bridge between dynamical systems and geometric group theory and their study has been a vibrant topic in the last 20 years in the project we will focus on three aspects of this modern research subproject a decomposition theory of maps and groupsin a recent work with collaborators i established a novel decomposition theorem for rational maps based on the structure of their julia sets i aim to extend this result to the case of contracting selfsimilar groups which will provide a new entry to the renowned sullivan dictionary i will also explore computational aspects of imgs and implement the decomposition in the computer algebra system gapsubproject b algebraic properties of imgsquite unexpectedly the imgs of even very simple maps provide examples of groups with interesting properties that are exotic from the point of view of classical group theory however we still lack general theory that will unify these nice examples the main objective in this research direction is to relate dynamical properties of maps to algebraic properties such as growth and amenability of the respective imgssubproject c spectral properties of schreier graphs of imgthe study of the laplacian spectrum and spectral measures occupies a significant place in the geometric group theory computations of spectra for the schreier graphs of selfsimilar groups have recently been an active filed of research surprisingly it connects to multidimensional dynamics and schroedinger operators associated to aperiodic order the goal of this subproject is to explore such connections in the case of imgs
learning network for ai and datapowered social innovation and cocreation of transformative change

data2action will train 10 doctoral fellows as the next generation of transdisciplinary social innovation leaders who are capable of ethically and responsibly developing stateoftheart data science and artificial intelligence ai for social good the network will bring together leading data science and ai researchers and experts with practitioners and experts in social innovation to conduct empirical research and cascading skillbuilding with the following objectivesobjective 1 establish a research roadmap and framework grounded in empirical knowledge and best practices for data scienceai to power social innovation dataai for social goodobjective 2 demonstrate the potential and benefits across sectors of implementing social innovations powered by data science and ai through five demonstrator projects that showcase the impact on critical societal issues climate social justice democracy and health and ageingobjective 3 build capacity dataai tools and methods for social innovators and entrepreneurs through an integrated open cascade training programmeobjective 4 create new career pathways for data science and ai dedicated to social innovationobjective 5 provide guidance and support for practice about data science and ai for social innovation to stakeholders who contribute to social innovation policymakers funders and governmental organisations and to data science and ai technology development
a principled plan to prevent transient execution attacks

ghostbuster is a research program to stop advanced transient execution attacks which by themselves already rank among the most advanced attacks everby finding vulnerable code fragments analyzing them for exploitability and injecting mitigations where needed the vulnerabilities such as spectre meltdown and others originate in vulnerable hardware and allow data leakage across all security boundaries recently my team and i showed that even more advanced attacks exist by combining transient execution with traditional software exploitation today we have no way of even detecting these hybrid attacks let alone stop them while we keep finding new variants vendors have indicated that they cannot fix them all as it would cripple performance the hope is that developers identify and harden vulnerable code snippets eg with instructions that stop transient execution unfortunately finding vulnerable snippets is hard beyond the abilities of top programmers and even more so for the new hybrid attacks can it be done automaticallythe challenge is daunting and involves all interaction between the code and a myriad of obscure cpu resources requiring expertise in hardware operating systems fuzzing program analysis etc stateoftheart and limited tools do not even aim for mitigation and simply report potential issueswith many false positives and negatives unlike existing solutions that detect the snippets through pattern matching ghostbuster takes a principled approach and considers the fundamental conditions enabling attackswithout resorting to say symbolic execution which scales poorly to large programs it models the fundamental conditions of steps of an attack in terms of control dataflow properties and translates the models into detectors after detecting the code that looks vulnerable it runs additional possibly heavyweight exploitability analysis and if need be mitigates the issue by removing some of the enabling conditions
multifunctional ligands for enhanced catalysis

transition metalcatalyzed ch functionalization replaces an inert carbonhydrogen bond with a functional group expediently altering the properties of the parent molecule to access new classes of compounds although the ch functionalization represents a green chemistry approach as it precludes the need for prefunctionalized starting materials there are still two main sustainability shortcomings with most current methodologies the first challenge is achieving functionalization of specific ch bonds without affecting other ch sites in the molecule a widely employed strategy to control the selectivity of metalcatalyzed ch bond functionalization reactions has relied upon the covalent attachment of directing groups ie pyridine oxime diazo to the parent molecule the requisite installation and removal of directing groups make the overall transformation less appealing from an atom and stepeconomy perspective the second challenge is to substitute commonly used precious transition metals with more benign earthabundant alternatives the proposed research program will address these shortcomings by developing an innovative and more efficient way for selective metalcatalyzed functionalization of aromatic and aliphatic ch bonds without preattaching a directing group the proposed strategies will rely on the design of multifunctional ligands capable of simultaneous binding to the substrate and the transition metal catalyst the proposed approach will take advantage of the ability of cr0 to form an piarene complex and activate the aromatic and benzylic ch bonds addressing these challenges associated with ch activation technology would have the power to unlock many industrial applications such as valorizing fine chemicals and modifying complex natural products drug leads or polymers
define a lead candidate for clinical development of a novel t cell therapy

acute myeloid leukemia aml is a disease with a poor prognosis especially for such patients either failing initial treatment or relapsing thereafter in aml specific immune cells such as t cells have been proven to bear curative potential in the context of stem cell transplantation but toxicity and therapy failure are frequent the use of t cells modified for specificity with chimeric antigen receptors car has changed the landscape of several bloodborne cancer of the b cell lineage in aml however ongoing development of car t cells is associated with severe toxicities limiting dosing and efficacy because of poor specificity of used targets for aml blasts in my erc funded research i have identified unique aml targets which are not shared with healthy hematopoesis or other relevant healthy organs developing car against these i could demonstrate the potential of my strategy to enable clinical development and exploitation t2lead will identify and develop lead car candidates for further translation t2lead will explore the medical and commercial potential of lead car and route exploitation towards licensing or spin out or both t2lead will be supported by a strong network of advisors from academia industry and regulation frame work ultimately t2lead will help advancing the treatment landscape in aml to the benefit of aml patients
solution attosecond chemistry

xray photons carry sufficient energy to interact with molecular coreshells electrons accessible for decades in the energy domain the resulting coreexcited states ces can now be observed in the time domain using attosecond 1018 s spectroscopy these states are important as they govern the lineshapes in all xray spectroscopies here we propose to first investigate and then manipulate the ces time evolution in solvated biomolecules in order to reveal key chemical information ie solutesolvent interactions local symmetries andchiral fieldsces lifetimes dictate the emission of secondary electrons active in radiotherapy by observing the effect of solutesolvent interactions on ces we will be able to achieve a better understanding of the first molecular mechanisms of radiotherapyces are also a subtle probe of the absorbing atoms bonding environment ces line splittings are lost in conventional xray spectroscopy due to homogenous broadening we developed a technique based on the laser manipulation of ces capable of producing lineshapes up to an order of magnitude below the spectroscopys lifetime broadening and revealing corelevel splitting we will employ this approach to observe corelevel splitting in solvated amino acids and metalloproteins and will use this new information to reveal the binding geometry of ligands with unprecedented accuracyfinally we will show how one can use nonlinear optics with attosecond pulses to reveal the chirality of the field surrounding sulphur and phosphorus atoms in biological samples xray excitation localizes the point of view on the chiral field to a single atom this perspective will allow us to examine the chiral landscape near the target atom here chirality due to a single chiral centre will be probed in lcysteine while the chirality due to the macromolecular arrangement will be measured in dna helixesour proposal brings attoscience techniques in the investigation field of large solvated systems
teaching the cosmos in poetry and prose aratus phaenomena and cleomedes the heavens in late byzantium

cosmopoet aims to rethink the relationship between poetry and astronomy and ultimately it investigates medieval greek solutions to the question as to how to explain the cosmos through literary means this is a project about the interaction of science and literature and about interpreting scientific literature as literature in the context of the intellectual space of the byzantine schools and the multiple curricula coexisting at the higher educational level cosmopoet studies the medieval greek and early modern manuscript tradition of the didactic poem phaenomena by aratus of soli d before 239 bce and compares it to transmission of the introductory astronomical treatise the heavens by cleomedes first century ce both texts introduce the readerstudent to elementary cosmology and astronomy and prompted the production of commentaries of textual and of diagrammatic nature as their popularity in byzantium increased from the late thirteenth century onwards cosmopoet studies 1 the textual dimension of both discourses especially the didactic use of formal literary features such as verse and rhythm
crosslinguistic influence in third language acquisition sentence processing and comprehension by child heritage bilinguals

the project tomris crosslinguistic influence in third language acquisition sentence processing and comprehension by child heritage bilinguals advances our knowledge about the functioning of a childs multilingual brain and uncovers how a multilingual heritage speaker processes and comprehends a third language in realtime tomris is the first study to investigate how typological primacy and structural proximity between the involved languages affect crosslinguistic influence cli in the processing and comprehension of a third language during reading sentences the question is whether the mismatched properties in morphosyntactic structures in the prior languages which are typologically close norwegian dutch to or distant turkish from english facilitate the processing of l3 english sentences or not tomris offers a groundbreaking approach to capturing the traces of l1 and l2 in processing l3 english by focusing on the same heritage language turkish in two different linguistic contexts norway the netherlands also it keeps the task constant in obtaining offline grammaticality judgement and online eyetracking processing data during reading a further novelty in tomris is the focus on two distinct development stages of language learning to compare the degree and source of cli in l3 english processing and comprehension at different stages of acquisition also i will match the participants not only based on their proficiency in the l3 thus isolating potential effects of cli from previously acquired languages but also based on their language proficiency in the background languages gaining a deep understanding of the factors that facilitate or interfere with cli in multilingual children is a good investment for the further development of the field the results will be crucial for all who have to deal with the challenges of multilingual childrens language learning such as language educators policymakers language therapists and parents
3d printing of pyrolytic and graphitic carbon

3d printing of carbon materials has significantly impacted several research fields including energy electronics transport health and space particularly in tissue engineering applications it promises the fabrication of patientspecific personalized scaffolds offering a suitable combination of essential properties however several challenges remain in the marriage of 3d printing and carbon materials two of the current challenges are little control in the properties of 3d printed pyrolytic carbon 3dpyc and the complex fabrication process of 3d graphitized carbon 3dgc therefore even though preliminary studies show good cytocompatibility of 3dpyc and 3dgc a proper investigation of the cellcarbon interaction essential for tissue engineering applications cannot be reliably performed the 3dcarbon project aims to solve these two challenges by developing a pathway to reliably control the micro and macrostructural properties of 3dpyc and introducing a facile fabrication approach for 3dgc these will be achieved through synthesizing customizable functionalized green precursor materials suitable for stereolithographic 3d printing and controlled pyrolysis cell culturing within 3d printed carbon scaffolds with controlled properties will further allow us to have a better understanding of the cellcarbon interaction which could therefore lastingly impact innovation on carbon scaffolds for tissue engineering applications furthermore such a study will lead us to the future development of carbonbased engineered living materials
powering the metamorphosis of buildings towards a decarbonised and sustainable energy system

the overall vision is to operationalise energy efficiency first principle in the practical context of buildings towards the decarbonisation of the eu building stock through electrified lowcarbon technologies such as heat pumps for the electrification of the building thermal energy demand integration of res storage building digitalisation and intelligence with smart energy management systems to achieve the meta build of the building sector we will develop and demonstrate at trl 68 highly costeffective integrated and replicable solutions ie heat pumps coupled with res and es systems for electrifying thermal energy demand in buildings social acceptance and strict adherence to energy efficiency measures will be ensured to promote a sustainable efficient energy use and an affordable pathway to decarbonise the buildingsector heating a holistic approach addresses challenges throughout the building life cycle including product manufacturing energy solution design and engineering construction renovation operation and maintenancemeta build will deliver kpidriven assessment methodology lca analysis on building electrification decarbonisation as a service decision support tool sound business models combined with energy efficiency and electrification advanced hp technologies pvts other res solutions thermal secondlife battery storage systems interoperable framework for electrified ready buildings energy management services for rtmonitoring performance analytics demand response grid interaction flexibility planning tools proactive maintenance controls services digital twins for maintainingenhancing the buildings performance blueprints policy recommendations for replication scalability focus will be given on both construction and renovation phases of a building while meta build solutions will be demonstrated and replicated in different types of buildings including 6 front runners and 7 replication multipliers
a territorialised agricultural knowledge and innovation systems framework for agroecological transitions

european food systems face sustainability challenges related to environmental degradation nutritious and healthy sustainable food access and just socioeconomic development increased organic farming adoption positively influences these systems especially when framed under a territorialised agroecological approach that emphasises local resource use and ecosystem services agricultural knowledge and innovation systems akis can support this transition however missionoriented akis supporting knowledgeintensive farming methods and territorial development are recent and poorly implemented presenting barriers for specific farming groups especially agroecologyoriented organic farmers the proposed project aims to develop a transformative and territorialised akis framework for agroecological transitions using a transdisciplinary and interdisciplinary approach incorporating a hybrid actornetwork theorysocial network analysis methodology in four spanish case studies involving theoretical empirical and practical validation the applied methodology will assess the patterns connections and gaps between territorial akis infrastructure for organic farmers and the support required for agroecologicaloriented farming practices and innovation using a robust conceptual and analytical framework and participatoryaction research through an advisory team and local collaborator groups the knowledge obtained in this project will be used to develop strategies to promote the objectives of the european green deal and eu missions concerning sustainable food systems the fellow will gain new research skills and build and maintain research networks advancing her food governance and policy research and consultancy career combining prior knowledge with acquired expertise she will develop an innovative interdisciplinary and multilevel approach to studying food systems and policy contributing to evidenceinformed policymaking based on missionoriented knowledge systems
expanding aav gene therapy by editing

in vivo gene therapy based on a single administration of adenoassociated viral aav vectors is emerging as an effective therapeutic option for both monogenic and complex diseases given the episomal nature of the aav genome its applications are limited to nonreplicating tissues like retina or adult liver several aavbased products that target these tissues are either approved or in advanced clinical development despite this some limitations still remain including the potential for insertional mutagenesis associated with genomewide aav integration the loss of transgene expression from replicating tissues like newborn liver and the challenge to counteract toxic gainoffunction mutations which cause dominant diseases for which canonical gene replacement is ineffective expedite aims to integrate therapeutic dna at desired genomic loci safely and effectively thus overcoming the above limitations expedite will go beyond the current stateoftheart by implementing and comparing two parallel strategies i novel cas fusion proteins to recruit dna repair machineries at induced double stand breaks dsbs to maximize ontarget donor dna integration ii novel cleavagefree platforms for therapeutic dna integration based on transposases or bacterial single stranddna annealing proteins the therapeutic relevance of these platforms will be tested in the retina and liver two highly relevant tissues for gene therapy using animal models of inherited retinal degenerations and lysosomal storage diseases respectively and ultimately non human primates to reduce the risk of potential offtargets expedite will also test nonviral vectors for transient delivery of the genome editing tools while delivering the donor dna via aav the results from expedite will allow significant expansion of the patient population that can benefit from in vivo gene therapy and may represent a change of paradigm for gene therapy by replacing canonical gene addition approaches