Dragon09/odtu_chatbot huggingface dataset:
aiaugmented software engineering for intelligent robotics

in todays europe software is pivotal for societal progress deeply ingrained in our lives and essential for the eus competitiveness the european commissions digital strategy positions software at the heart of digital transformation targeting a sustainable economy and broad digital tech benefits this era underlines software engineerings crucial role in creating functional reliable and efficient software systems the advent of ai especially in robotics poses new challenges demanding a rethink of traditional software engineeringthe engineering of robotics faces ongoing issues such as complex operational states environmental unpredictabilities and critical safety needs these are amplified by the diversity in robots use cases ai technologies and development settings calling for a significant evolution in robotics software engineering the rise of intelligent robots with their ability to learn adapt and make independent decisions highlights the need for improved engineering tools and methodsastir aims to address these challenges by developing an aiaugmented engineering workbench for intelligent robotics software supporting all lifecycle phases from requirements engineering to system maintenance this workbench leveraging trustworthy generative ai aims to integrate with current engineering practices enhancing collaboration and productivityastir will validate the technological offering in 3 novel and openaccess use cases targeting diverse robotics markets namely service robotics manufacturing robotics and drones
continental rifting and volcanism in the western sicilian channel

understanding the mechanisms of continental rifting is fundamental to the study of plate tectonics corvos will investigate the relationship between tectonic processes and magmatism in the sicilian channel rift zone scrz although our understanding of active plumeassociated rifting has been advanced recently the scrz is characterised by passive rifting a comprehensive regional model detailing how volcanism has developed in this region is lacking and would generate further understanding regarding to what extent passive rifting is accommodated by magmatism there are a lack of interdisciplinary studies investigating both the structure and geochemistry of such regions which is crucial in devising a robust model corvos proposes to use a unique catalogue of volcanic samples from 22 submarine volcanoes in conjunction with highresolution bathymetry and structural data which will be collected as part of a funded research cruise wholerock mineral and melt chemistry thermobarometric models and textural studies of the volcanic products will allow for the determination of the crustal evolution of magmas this data will be compared across areas of the rift zone with differing tectonic processes determined using highresolution bathymetric data 40ar39ar geochronology will determine of the age of volcanism allowing for temporal analysis of magmatic processes the volcanic activity in this area includes historical submarine eruptions and four new volcanic edifices were recently discovered off the coast of southwest sicily the hazard associated with these volcanoes and any tsunamis they may generate to the densely populated coastal areas of sicily the shipping industry and seafloor infrastructure is currently poorly quantified corvos aims to assess this risk using the type extent and age of volcanic activity to investigate whether these sites are active how recent the activity was whether the activity was explosive and how much material was ejected
evaluating how pleiotropy influences genetic and developmental evolution by using rodent teeth

pleiotropy is the phenomenon of one gene affecting several phenotypic traits such as different organs mutations advantageous in one organ often have antagonistic effects in others recent theoretical and empirical data suggest adaptation proceeds with such pleiotropic mutations if they are compensated during development i think that pleiotropy may promote the fast divergence of developmental gene expression and cisregulatory regions while selecting for such compensationsto test this my labs model the upper and lower molars in rodents will be ideal to link variation in genes development and shape and track compensations in developmental processes focus on a tractable case of pleiotropy with two organs compare the evolution for different pleiotropy constraints we have established a collection of rodents and methods to compare their genomes and developing molarspleiotropys originality is to contrast 3 types of species ancestorlike molars controls and derived molars that evolved either in line with pleiotropy constraints higher crowns in both molars or against them extra cusps only in the upper molar our hypothesis implies that gene expression and cisregulatory regions evolve faster in the latter case we will 1 compare how developmental gene expression in tooth germs evolve and search for compensatory changes in developmental mechanisms we will scan gene expression at spatial resolution in 7 focal species 2 survey how regulatory regions evolve and test compensatory mutations we will annotate regulatory regions from epigenomic data and infer their phylogenetic history in 67 species we will screen and validate compensatory mutations 3 model the joint evolution of upper and lower molars development to predict rates of genome evolution and compensatory mutationspleiotropy exploits my unique expertise examining genome evolution in connection with developmental evolution to tackle the puzzling question of pleiotropy in evolution
common european data spaces and robust ai for transparent public governance

europe is facing unprecedented challenges such as the health migration economic climate energy and political crises leading to a sharp increase in emergency public spending and relaxation of due diligence checks this has resulted in a rise in corruption and fraudulent activities which have significant negative impacts on the european economy society environment and democracy despite emerging technologys potential to become a powerful tool in the fight against corruption and fraud the public sector has been slow to adopt digitalization resulting in data not being shared harmonized or properly analysed making evidencebased decisionmaking almost impossible governments are slowly adopting new approaches to ensure a more datadriven transparent and accountable public governance but several fundamental datarelated issues remain unresolved with a team of 9 excellent research institutions and universities 12 technology business and standards developing companies 7 public end users and 3 domainrelevant industryexposed ngos cedar will 1 identify collect fuse harmonise and protect complex data sources to generate and share 10 highquality highvalue datasets relevant for a more transparent and accountable public governance in europe 2 develop interoperable and secure connectors and apis to utilise and enrich 6 common european data spaces 3 develop innovative and scalable technologies for effective big data management and machine learning ml operations 4 deliver robust big data analytics and ml to facilitate humancentric and evidencebased decisionmaking in public administration 4 validate the new datasets and technologies trl5 in the context of fighting corruption thus aligning with the eu strategic priorities digitalisation economy democracy 5 actively promote results across europe to ensure their adoption and longevity and to generate positive direct tangible and immediate impacts
a multiscale machine learning based software for the simulation of catalytic processes

the reduction of the environmental footprint of the chemical and related industries is nowadays of utmost importance the transition towards more sustainable processes that combine efficient use of raw material and energy with higher transformation rates better selectivity and higher mass and energy efficiency will contribute to meet the objectives of the green deal in this respect catalysis engineering is pivotal to developing technologies able to meet these goals and to shape the sustainable economy of the future the accurate description of this multiscale process has a substantial impact on the performances of the entire chemical process and consequently on many manufacturing sectors the description of the catalytic process requires a detailed and accurate definition of the intrinsic reactivity by means of firstprinciples kinetic schemes coupled with rigorous models at the reactor scale currently this approach is hindered by the limited available computational resources which prevent the adoption of detailed and atomresolved kinetic models into reactor simulations with a reasonable computational burden to overcome the limitations identified above starting from the results obtained during the erc stg shape n 677423 we propose multicat a highly accurate yet computationally lean multiscale physicsguided machine learningbased surrogate modelling framework of the entire reactor from the atomistic to the process scales this represents a leapfrog improvement in the detailed numerical modeling of catalytic processes by achieving a drastic reduction in the computational cost with a concomitant boost in the prediction reliability and paving the way for a new generation of catalytic process models an evolution of hybrid digital twins for online process design optimization and control
co integration of microelectronics and photonics for air and water sensors

the main objective of compas is to develop a compact inexpensive and ultrasensitive pic sensing platform psp for air and water monitoring relying on the cointegration of light source detectors and electronic ic for onchip signal processingthe pic sensor principle will be based on interference between two guided light modes one of which interacts with analytes and the other being a reference the resulting intensity changes offers excellent sensitivity to changes in concentration of analytes in air or solution multiple light paths can be placed on the same device offering multianalyte sensing in an ultracompact device compas builds a firstofakind fully integrated system around this principle including light source detectors and signal processing the compas psp begins at trl2 and will end with trl5 validation in relevant environment by endusers towards air and water monitoring the project will define sensing parameters for validating developed pic sensor platform psp towards three usecases in relevant environments being in line with the european green deals zero pollution ambition develop core photonic technology for implementing photonic based sensing these include a novel photonic ic material system aliminium nitride bimodal waveguide interferometers that show superior temperature stability and sensitivity novel material coating systems for enhanced sensing selectivity and innovative nano structured metasurfaces for novel mode engineering for increased sensitivity and optimized light coupling to facilitate the use of low power laser diodesdevelop a chiplet approach to cointegration of photonic sensor with microelectronic ic and photodetectors and a coherent lightsource this will combine heterogeneous integration of a laser light source and monolithically integrated photodetector in the silicon base material
functional chemical reprogramming of cancer cells to induce antitumor immunity

the challenge immunotherapy has revolutionized cancer treatment but most patients do not respond due to immune evasion mechanisms including heterogeneity and lack of tumor antigen presentation moreover these therapies have met limited success in the treatment of solid tumors and are frequently associated with severe adverse effectsradical vision the radical vision of the resync consortium is to revolutionize cancer immunotherapy through smallmolecule smbased reprogramming of cancer cells into immunogenic neoantigenpresenting dendritic cells type 1 cdc1 to elicit a personalized antitumor immunity cell reprogramming will be coupled with nanoparticle formulations enabling safe low cost and efficient systemic targeting of disseminated tumors the proposed platform will enable breakthrough innovations in the cellular reprogrammingbased therapeutics space and have a broad and disruptive effect on the immuneoncology therapeutics scientific field and market with a complementary consortium we expect to achieve proofofconcept for chemical cdc1 reprogramming by the end of the project 2026impact this approach will for the first time harness the full potential of cellular reprogramming to induce immunity against tumour antigens with the tractability of systemic delivery of cdc1inducing sms this project will result in next generation platforms for in vivo reprogramming and celltargeted delivery of sms with high cell specificity low price and improved safety smmediated antigen presentation will be combined with immune checkpoint blockade enabling immunotherapy in all patients ultimately this project will set the stage for a new era of personalized offtheshelf cancer immunotherapies
splicing fidelity enforcement modulation and impairment

in eukaryotes the spliceosome removes noncoding introns from precursor messenger rnas during premrna splicing crucially many premrnas are spliced differently depending on cellular status or external stimuli this alternative splicing reshapes the genetic information from a given mrna to encode several protein isoforms and greatly diversifies proteomessplicing must be extremely precise as errors produce aberrant mrna encoding potentially toxic proteins splicing fidelity relies on the accuracy of the spliceosome that assembles de novo on each premrna in a cotranscriptional manner gets activated and selects the precise boundaries of introns to catalyse their excision the spliceosome is endowed with two apparently conflicting properties it must be very accurate to avoid splicing errors while being tolerant to accommodate alternative splicing changes i aim to unveil the molecular basis of splicing fidelitys enforcement and modulation by the spliceosomedue to its extreme complexity the spliceosome has long been a major challenge for molecular and structural investigations recent progresses in cryoem allow the structural analysis of very dynamic and lowabundance biological objects such as spliceosomes hence it is now possible to explore the most elusive aspects of rna splicing provided that the biochemical challenges of trapping and stabilising transient spliceosome intermediates are overcome beforehandi will use innovative methods to capture spliceosomes from cell extracts and cryoem to investigate how splicing fidelity isenforced by molecular checkpoints during spliceosome activationmaintainedmodulated by other cellular processesimpaired during viral infectionthe outcome of this research will bring us closer to answering a fundamental question of biology how does the spliceosome give rise to the immense combinatorial space of alternative splicing without errors and allow the 20000 human genes to yield 200000 proteins
nanoscale isotropic 3d resolution using omniview structured light sheet microscopy

after spectacular advances in microscopy a next leap is needed to enable biological studies at the deep subcellular scale of cells in their native multicellular tissue environment currently it is impossible to image in 3d with isotropic resolutions below 100 nm over volumes larger than 100 micron3 i want to disprove the paradigm that there should always be a tradeoff between resolution imaging volume and sample longevity building on my track record in superresolution microscopy i propose a revolutionary optical architecture where the volume is illuminated and scanned sequentially using three tilted 2d light sheets that form three mutually orthogonal planes these light sheets are created by illumination from both sides of the sample to form interferencebased light patterns with fine 200 nm scale pitch together with new structured illumination image reconstructions this enables a 3d fully isotropic resolution twice as good as conventional light sheet microscopy in a second conceptual advance the patterned light sheets are applied in singlemolecule imaging to achieve 3d isotropic enhanced localization precision at the 1 nm level an order of magnitude better than current methods the omnidirectional illumination and imaging also enables refractive index tomography leading to time and spacevariant point spread functions these are used insilico in firstever superresolution image reconstructions that are fully adapted to volumetric sample heterogeneity in a final step the tomographic refractive index data is projected to spatiotemporal aberration maps that are fed into adaptive optics for dynamic correction of sampleinduced aberrations to boost superresolution imaging of live cells over extended times the envisioned suite of informationoptimal computational microscopy modalities rooted in fundamental physics not only overcomes imaging barriers but also paves the way to break open black box approaches in image reconstruction
sperm filtration for improved success rate of assisted reproduction technology

erc starting grant 3d nanomorph has achieved groundbreaking results that open an unprecedented opportunity for assisted reproduction technologies arts arts require selecting sperms with high fertilization potential this is characterized by morphology motility and kinematic parameters of sperms indicating their progressive motility current optical solutions for sperm selection can investigate only morphology nature of motility and kinematics in terms of speed our groundbreaking solution enables studying the motion of sperm with unprecedented superresolved details which can be used to derive advanced kinematic features the art market is growing at an annual rate of 78 our population is aging people are planning families at later ages and fertility is deteriorating due to occupational environmental and lifestyle factors thus it is becoming a societal challenge to maintain population growth this poc grant aims to take the next step in transforming my groundbreaking research into innovation of commercial and societal value
highperformance adsorbents based on robust bijels stabilized by cellulose nanocrystals for direct air capture of co2

direct air capture dac has established itself as a promising technology to lower the atmospheric co2 concentration permanently thus contributing to climate change mitigation considering the billion tons of co2 that need to be captured highperformance chemisorbents from the most abundant natural polymer ie cellulose are of great significance for the practical application of such negative emission technology the main objective of handleco2 is to construct highperformance cellulosic dac chemisorbents based on robust bijels which is an emerging class of soft solid materials with interconnected hierarchical pore networks and semipermeable interfacial layers cellulose nanocrystals cncs with surfaceimmobilized 10undecenoyl groups will be synthesized and then modified by clickable polyionic liquids pils via simple thiolene click chemistry the surface chemistry of pilsmodified cncs will further be tuned by simple counterion exchange method next the applicant will fabricate bijels of high stability by new methods to crosslink the cncs with designed surface chemistry at the fluidfluid interface the robust bijels stabilized by cncs will then be processed into aerobijels via simple freezingdrying the numerous accessible amine groups on cncs in combination with the bicontinuous porous structure and semipermeable interfacial layers of the final aerobijels will allow for high co2 adsorption capacity and fast co2 adsorption kinetics the conceptualization of handleco2 is based on the twoway transfer of knowledge between the host and researcher and research objectives will be achieved through this knowledge transfer this fellowship will offer an invaluable opportunity to reach the applicants career goal of leading his own independent research group in europe academia moreover the success of handleco2 will undoubtedly lead to multiple positive impacts that will strengthen european excellence and competitiveness
authoritarian smart city

the smart city fulfils a utopian picture of a future where datadriven citizencentred and just cities thrive what if this vision of the smart city is combined with the prospect of smart control what about the sociotechnical imaginaries of authoritarian smart cities research on smart cities in authoritarian regimes for example in both saudi arabia and china has rarely been critical and has almost never discussed this urban form as authoritarian or surveillant even when calls for a comparative global agenda have been issued authoritarianism has not been a significant component eauthopia explores the formation of authoritarian smart cities through the interplay between global smart city trends and domestic policymaking in authoritarian contexts through three instrumental case studies of authoritarian smart cities in turkey thailand and gabon i will investigate how the smart city idea is appropriated and localised how it is positioned within a political system and how it is translated into governance initiatives i use semiotic and discursive analysis to study the authoritarian sociotechnical imaginaries of desirable urban futures at the symbolic and language level additionally policy process tracing will be conducted through global pathways of influence and multiple streams framework to illustrate how these imaginaries and visions are localised concretised and translated to agendasetting in policy adoption and development
textile fibre recycling from mixed streams of pesco textiles

europe has an extensive textile waste problem annually 7 75 million tons of textile waste is generated but only about 30 35 of the generated waste is collected separately and less than 1 is recycled into new clothing collection of textile waste will become mandatory in eu member states by 2025 most of the textile are cotton polyester or their blends considerable amounts of copes blends are disposed every year due to the technical challenge andor economic viability of recycling the objective of pescoup is to develop a sustainable and economically and technologically viable process of the mixed copes textile waste to be upcycled into cotton originated and polyester products the processes should enable for production of new products without quality restriction and of products with identical properties and performances as those produced using primary resources the main tools to achieve this are the development of automated identification and sorting methods for textiles digital product passport with a marketplacestyle dataspace for sharing data describing material streams to support matching of supply and demand of textile materials and the process development of purification separation technologies as well as the technologies that utilize the separated cotton and pes fractions for the valuable products pescoup will ensure that sustainable fibertofiber recycling becomes a reality in europe this will turn a societal waste problem into a business opportunity for european smes and bring the textile industry back to europe at the same time dependency on oil and cotton based raw materials will decrease which will mean reduction in co2 emission and reduced water consumption the use of developed digital methods and digital product passport can be widened in other industrial sectors to solve their recycling and sustainability issues