Dragon09/odtu_chatbot huggingface dataset:
rethinking cocreation of digital and environmental policy in systems of multilevel governance

rethinking cocreation of digital and environmental policy in systems of multilevel governance recode mlg is a proposal for horizon europe on multilevel governance in times of digital and climate transitions our overarching goal is to promote a just inclusive and democratic transition to a sustainable and digital future by showing how this twin transition can be governed effectively within the eu multilevel governance mlg system the project investigates cocreation as a process that can precisely achieve this objective by proactively involving multiple actors including policymakers stakeholders citizens and volunteers in a collaborative endeavour to identify both problems and solutions related to the twin transition recode mlg brings together leading experts on mlg sustainability politics digitalisation cocreation democratic theory and deliberative innovation with civil society industry stakeholders and policymaking representatives it assesses governance structures at three critical sites of twin transition and designs and implements four cocreation labs in order to advance stateoftheart and produce policy recommendations and a practical toolkit to support inclusive policymaking on twin transition in mlg
mitochondriainflammation crosstalk and exerciseinduced pathways in cachexia

cancer cachexia cc affects 5080 of patients with cancer and is characterized by accelerated loss of muscle mass which is directly linked to reduced quality of life treatment toxicity and lower survival with no pharmacological treatment options key to improving life expectancy is to understand the molecular determinants of cc however these are poorly defined mitochondrial dysfunction and inflammation can cause muscle atrophy and are considered as emerging hallmarks of cc exercise is the most potent approach to improve mitochondrial and muscle function and to reduce inflammation yet implementing it in cc is challenging because of fatigue and pain of patients with cancer elucidating the molecular underpinnings of exercises beneficial effects represents a major scientific challenge and an untapped opportunity for medical exploitation in this regard unpublished data from my host lab show that muscle protein levels of the mitochondrial mt rna stabilizer lrpprc leucinerich ppr motifcontaining protein are induced upon exercise and reduced in cachectic muscles thus mtrna metabolism could be a new target for cc mtrna metabolism is key to maintain levels of mtdnaencoded proteins to promote mitochondrial function yet lrpprcs role in muscle mitochondrial function and cc is unexplored i hypothesize that reduced lrpprc is key in ccassociated muscle mitochondrial dysfunction and inflammation stimulation of lrpprc could promote exerciselike benefits establishing a new pharmacological target for cc i aim to determine the molecular link between mitochondrial dysfunction inflammation and muscle atrophy in preclinical cc models and patients with cc i will unravel the molecular pathways involved in lrrprcs exerciseinduced effects and i will appraise lrpprcs therapeutic potential in cc results have the potential to provide crucial insights on the molecular events underlying cc and likely identify new pharmacological strategies to tackle it
delivery of algae oil into vegan milk through novel ow emulsions nanoemulsion and pickering emulsion stabilized with seaweed peptides

health benefits of oils rich in polyunsaturated fatty acids such as algae oil have surged researchers to find efficient ways to deliver these oxidationprone oils into food products one of the hottest areas in this regard is the incorporation of the oils in oilinwater emulsions however the emulsions are physically and oxidatively unstable upon storage leading to quality deterioration in the final product the present study is thus an attempt to stabilize these delivery systems by reducing droplet sizes and forming the socalled nanoemulsions as well as taking such measures as the encapsulation of the oil and incorporation of antioxidant peptides from seaweeds another stateoftheart measure is the use of bioactive peptides purified from seaweed in a complex with a cationic surfactant as pickering particles to form stable pufarich oil delivery systems the emulsions either in encapsulated or noncapsulated forms will then be introduced into oat milk to produce marine oilenriched vegan food a unique characteristic of this research is that bioactive agents will be purified from palmaria palmata a seaweed found in denmark which can contribute to attaining sustainable development in food technology in this sense one of the most restricting obstacles to using natural peptides is their bitterness the present study tries to reduce or ideally remove bitterness by electrospraying the emulsions containing these peptides this interdisciplinary research will pave the way for prospective researchers to consider the possibility of delivering healthy oil into vegan societies food baskets through efficient means in a way that taste and odour of the final products are not sacrificed for this purpose the gained expertise in the present project will provide great job opportunities for the applicant because an everincreasing number of food producers are seeking experts in the field of reducing lipid oxidation in their products and producing enriched vegan foods
biobased fully biodegradable microplasticfree nanocarriers selectively releasing encapsulated actives for sustainable agriculture

responding to the growing population in times of climate change new techniques are essential to transform agriculture into a sustainable but even more productive system agrochemical delivery based on micro and nanocarriers emerged as an efficient tool to decrease pesticide need against various plant diseases however these formulations also need nondegradable additives such as spreading agents or adhesives while studies underline that the widely used polymeric carriers in agrochemical delivery can release microplastics research on additivefree or fully biodegradable formulations is very scarcethe aim of biofarm is to understand and develop new nanocarriers for agriculture that omit all nondegradable ingredients and release their payload only ondemand fully biobased and biodegradable nanocarriers will be designed as efficient vehicles to deliver and selectively release actives without the danger of microplasticsformation more importantly i will design the nanocarriers surface in such a way to optimize spreading on the leaves and achieve effective adhesion to prevent other nondegradable additives a general approach for encapsulated plant protection products in designed nanocarriers will be devised for foliar spraying without adding environmentally problematic additives the enhanced adhesion of the proposed nanocarriers will be tailored through biopolymer modification and green formulation design the designed nanocarriers will not only be examined by various plant pathogens through vitro tests but also will be tested on plant leaves on the field a set of analytical techniques will be used to investigate various characteristics of the prepared nanocarriers such as the adhesion on the leaves biodegradation and efficiency the proposed fully biodegradable nanocarriers represent a general concept and green formulation to replace nondegradable micro and nanocarriers in the important foliarspraying market of modern plant protection
smartsens smart wear for sensing the neuromusculoskeletal system during human movement in vivo

neurological injuries such as stroke or spinal cord injury leave 5 million people disabled worldwide annually drastically impairing individuals ability to move independently the main element hampering efficacy of current neurorehabilitation procedures is the inability of sensing the activity of neural cells involved in the control of movement along with the movementgenerating mechanical force produced by innervated muscletendon units in the intact moving human in vivo current technologies for sensing the neuromusculoskeletal system rely on expensive large and bulky sensing devices that can only be used in the highly controlled settings of research laboratories therefore a wearable rapidtowear system that could track function in a persons motor neuron activity along with associated function in muscle tendon and joint function would revolutionise current neurorehabilitation paradigms smartsens proposes a fully wearable noninvasive solution to monitor a range of clinically relevant neuromuscular parameters which currently could only be extracted in constrained laboratory settings via lengthy procedures smartsens enables measuring such information during daily life activities using a sensorised smart wear that is unobstructive and rapid to wear this will enable continuous monitoring of the human neuromusculoskeletal system which will disrupt current movementmeasuring and diagnostic systems by enabling causal understanding of the activity of neural and musculoskeletal structures in vivo at a resolution not considered before
labelfree multimodal realtime imaging of phageinduced bacterial lysis

the fastgrowing number of multidrugresistant bacterial strains is one of the biggest threats to public health 5 million deaths and billions of euros are associated with drugresistant bacterial infections per year lately bacteriophages have become an alternative way to increasingly failing traditional directacting small antibiotic molecules however a deep and detailed understanding of the processes connected to bacteriophageinduced bacterial lysis is still missing this project aims to develop a unique opticalbased multimodal imaging technique for highspeed realtime imaging of phageinduced lysis of bacteria the suggested tailored combination of coherent brightfield microscopy allowing for fast labelfree and longterm single bioparticle imaging with advanced electrooptic fluorescence lifetime imaging allowing for dynamic molecular proximity sensing will be a worldwide unique prototype for the first time the technique will allow for direct labelfree tracking of bacteriophages and simultaneous detection of changes in the inner bacterial environment eg change in ph and bacterial metabolism during all stages of infection this will provide a great pool of information currently lacking that will facilitate and accelerate phage and antimicrobial research the method can be easily adapted for other bacterial or mammalian cells and singlebioparticle and particle studies finding its place in drug delivery cell interaction studies or tracking particles in cells due to the uniqueness of the set of information that currently cannot be gained under the same conditions with any other technique we expect the technology to become standard in future life science imaging
integrated surveillance ecosystem for european authorities responsible for maritime operations leveraged by reliable and enhanced aerial support

iseamore is an ecosystem composed of an advanced platform solution to host and manage the operation of several innovative assets services and systems that aim to provide european authorities with increased situational awareness and operational capabilities for maritime surveillance operations resorting to aerial and water surface support the core platform infrastructure and software layers is conceptualized to be deployed and operated at maritime operation centres mocs with interfaces to other systems including the uxvs ground control stations gcss as well as external systems it thus provides endusers with a holistic platform capable of handling several multipurpose tasks including eg wide maritime border and coastal areas monitoring analysis of potential threats support to search and rescue operations detection of illegal activities among others such tasks will be possible since iseamore platform provides a complete set of functionalities and capabilities to mission commanders focusing on 4 main pillars 1 employment and indirect tasking of multiple types of longendurance unmanned assets aerial and water surface 2 exploitation of heterogeneous data sources eg payload data and open data sources including copernicus services 3 provision of a common operational picture empowered by a novel and comprehensive suite of data fusion services based on artificial intelligence ai and big data analysis for optimal decision making and successful mission execution of the desired missions and 4 interoperability within the ecosystem and its interface with key existing external systems moreover the project will also generate additional knowledge to support the uptake of the solution at eu level as well as multicountry multiauthority collaboration including novel concepts of operation standard operating procedures for joint operations and new methodologies for cocreation and validation of maritime security solutions by endusers
magnetic counterparts of unconventional superconductors for spinconserved and nondissipative electronics

our recent discovery of altermagnets has opened science and technology opportunities unparalleled in the two conventional classes of ferromagnets and antiferromagnets moreover the direct analogy of a dwave spinpolarization order in altermagnets to the unconventional dwave superconducting order in cuprates suggests that we now hold a key to a vast uncharted territory of unconventional magnetism in my project i will identify unconventional forms of magnetism beyond the dwave cuprate counterparts including such prominent examples as magnetic counterparts of spmwave pnictide superconductors or pwave superfluid he3 to build a periodic table of unconventional even and oddparity wave magnets i will develop a generalized symmetrybased methodology tailored to a variable hierarchy of interactions across this large materials territory with the periodic table of unconventional magnetism i will remove fundamental roadblocks in research and applications of relativistic and topological phases based on conventional magnets the nonconserved spin of relativistic electrons and the fragility of topological phases with nondissipative electronic transport i will demonstrate i evenparitywave magnetism with timereversalsymmetry breaking in the electronic structure accompanied by a vanishing net magnetization and with conserved spin of relativistic electrons ii oddparitywave magnetism with timereversalinvariant electronic structure and with a strong exchange spinsplitting counterpart of the conventional weak relativistic spin splitting iii robust synergy of unconventional magnetism with topological phases in one common crystal armed with iiii i will show the path to spinconserved and nondissipative electronic transport at ambient conditions using the unconventional magnets this can pave the way for future ultra temporally and spatially scalable and energyefficient spinbased electronics
mohorovii discontinuity and lithosphereasthenosphere boundary

the moho and lithosphereasthenosphere boundary lab are two of the most important boundaries in the earth the moho is the greatest manifestation of the chemically differentiated earth separating light rocks in the crust from dense rocks in the mantle whereas the lab is fundamental for plate tectonics defining the boundary between the floating rigid lithosphere and the weak deformable asthenosphere they are both first born at midocean ridges where twothirds of the earths crust and lithosphere are formed and then evolve with the age but what happens during the early part of their lives remains an enigma together they serve as the location where coupling and exchange take place between the shallow and deep mantle and therefore it is fundamental to understand their formation and evolution during the early stages of their existence here i propose to acquire exceptional seismic data using the most advanced technology available in industry 2500 ocean bottom nodes and subject them to the advanced analysis techniques of full waveform inversion to quantify the nature of the moho and the lab during the first 5 ma of their lives at the fastspreading east pacific rise this new technology will allow us to record multicomponent seismic reflection and refraction data continuously up to 400 km offset at 200 m interval thus opening up a new frontier of research these new seismic data will provide quantitative pwave and swave velocities of the whole crust the moho the upper mantle and the lab at unprecedented resolution which combined with petrological studies will allow us to develop a comprehensive geodynamical model for mantle melting melt migration crustal accretion and lithospheric evolution the quantitative imaging of structures down to 2030 km depth on a few hundred metre scale would be a revolution develop synergy between academic and industrial research and open up new horizons for deep seismic imaging for upper mantle studies
closing the loop in stereoselective catalysis with datadriven approaches

datadriven methods promise to enable a highly structured approach for the development of asymmetric catalytic reactions founded both on experimental and computational data in this new but underdeveloped method a small number of experiments is performed and that data is used to make a mathematical model to predict how new ligands will behave such a model is based on calculated or measured physical descriptors of the ligand and correlations obtained between enantioselectivity and such descriptors also provide mechanistic insight in an iterative looped approach the models predictions are tested experimentally and fed back to make an improved model which is again tested experimentally until satisfactory stereoselectivity and yield is obtained importantly the integration and feedback of computational and experimental data during the research process is a significantly more efficient approach to developing asymmetric catalytic reactions and also provides mechanistic insight as the reaction is developedthe main research aim of this doctoral network is to develop powerful and readily applicable workflows for datadriven development of stereoselective catalysis using this datadriven approach requires a fundamentally different experimental workflow to developing catalytic reactions than is currently employed in most research laboratories since this requires a fundamental change in the way most experimental groups work the datadriven approach is not widespread and remains underdeveloped the next generation of chemists requires training in combined and integrated computational and experimental approaches both in academia and industrythe main training aim of this doctoral network is to train researchers in comprehensive datadriven experimental approach for realizing challenging asymmetric catalytic methods
twoloop scattering amplitudes for toppair production in association with a jet at hadron colliders

the large hadron collider lhc at cern allows us to investigate the fundamental laws of nature at unprecedentedly high energy our capability to harness this stunning potential relies on our ability to compute theoretical predictions to be compared against the experimental measurements keeping the theoretical uncertainties in line with the experimental ones requires computing theoretical predictions at least at the nexttonexttoleading order nnlo in quantum chromodynamics qcd the quantum field theory which describes the strong interactions a fundamental ingredient entering the theoretical predictions are the scattering amplitudes which encode the probability distribution of the scattering processes observed in the experiments the project targets the computation of the twoloop amplitudes for the production of a topquark pair in association with a jet these amplitudes are the main bottleneck towards obtaining nnlo predictions for this process which is a high priority of the lhc physics programme the presence of the topquark mass in a process involving so many particles represents a substantial step up in complexity with respect to the state of the art the main difficulty lies in the appearance of classes of special functions whose systematic treatment and efficient evaluation are still open problems overcoming this bottleneck will require a close interplay between physics and mathematics the algebraic complexity of the amplitudes themselves also represents a formidable challenge i will tackle it by employing cuttingedge techniques based on numerical sampling over finite fields and advanced algorithms of rational reconstruction based on algebraic geometry and physical properties the success of the project will not only open the door to nnlo predictions for this important process but will improve significantly our capability of computing highprecision predictions for highmultiplicity processes in general
fully biocompatible intrabody nanoscale communication system to foster novel in body diagnostics and monitoring systems

early detection is crucial in improving treatment outcomes and alleviating the burden of chronic diseases as emphasized by the eu mission cancer in vivo dianosgtic approaches have been shown to eliminate a couple of postprocessing stages but no significant reduction in turnaround delays has been reported in addition to being costly bulky and invasive the next natural step in innovation would be to reduce turnaround delays from the present best of 10000 minutes to within a few tens of minutes a 1000x improvement which benifit aims to introduce the goal of the benifit project is to show that intrabody nanoscale communications ibnc can be used to make invivo diagnostics possible this will pave the way for more advanced early detection and realtime monitoring methods that are minimally invasive lowcost and have small turnaround delays through benifit i will demonstrate the competence of ibnc for in vivo detection of biomarkers with high accuracy by using nanomachines equipped with biosensors a cooperative sensing approach will be developed to maximize the sensitivity and specificity of the biosensors thus reducing the number of false positivesnegatives caused by the presence of other molecules in addition i will design an approach to integrating the sensing and communication hardware to meet the hardware requirements of nanomachines a nearfield magnetismbased system and passive communication architecture will be implemented to ensure ultrahigh safety and energy efficiency lastly an opensource systemlevel simulator will be developed spanning microscopic to macroscopic scales to analyze the impact of the design choices on the systems performance the kpi targets of benifit include 95 detection accuracy and a 10x reduction in treatment costs besides the 1000x reduction in turnaround delays these outstanding performances are set to disrupt the healthcare industry