Dragon09/odtu_chatbot huggingface dataset:
can blue economy interventions mitigate rural poverty and outmigration in landdrying eastern africa

coastal and rural villages in eastern africa are more likely to have mitigated or even avoided poverty and outmigration during the last three decades of land desertification and natural disasters when developing a sustainable blue economy providing alternative resources and livelihoods to test this core hypothesis we will rely on a longterm causal inference framework combining satellite imagery artificial intelligence algorithms and spatial matching statistical methods but also multidisciplinary field surveys more precisely blueafrica has the ambition to quantitatively and causally assess on the long term whether i maintaining productive coral reefs through the establishment of fisheries management ii investing in mariculture or iii developing naturebased tourism can be potential transformation pathways on the eastern african coast to improve wealth assets and prevent outmigration when arable land and terrestrial resources are vanishing under climate change four main objectives will be reached1mapping and characterizing all rural socioecological systems rses on the coasts of madagascar mozambique and tanzania but also blue economy activities2building testing and validating artificial intelligence algorithms accurately predicting the level of human poverty and outmigration across space and time in africa from satellite imagery and auxiliary covariates3testing the causal link between the establishment of a blue economy activity and the level of poverty and outmigration in the drying rural eastern africa over a long time period up to 30 years using a spatial matching method between control and treated rses and then fitting several response curve models4identifying visiting and understanding the bright vs the dark spots ie the rses with the highest vs lowest level of economic development and net migration using a deviance approach from model expectations indepth field surveys and statistical comparisons
in situ growth of thermoplasmonic nanoparticles in microfluidic platforms for modifying stem cell fate

the overarching goal of plasmostemfate is to enable facile inexpensive and scalable fabrication of thermoplasmonicmicrofluidic nsc culture platforms posing transformational impacts in tissue engineering and regenerative medicine addressing unesco sustainable development goal 3 good health and wellbeing and mission cancer of europes beating cancer plan thermoplasmonic gold nanoparticles can generate localized heat in response to biologically transparent nearir light and their size and shaperelated properties can be leveraged to noninvasively monitor and direct the lineage commitment of neural stem cells nscs this action will deploy and develop unconventional in situ nanoparticle synthesis to form shapecontrolled thermoplasmonic nanoparticles directly inside microfluidic devices the proposed platforms will significantly advance the controlled implementation of micro and nano structures as tools for manipulating nsc behaviors by systematically applying both controlled fluid flows and plasmonic enhanced heating to modulate the cell microenvironment the action will be hosted by prof luis lizmarzn at cic biomagune with prof stephanie seidlits group at the university of texas at austin as a secondment this multidisciplinary action relies on collected expertise in plasmonics bottomup nanoparticle synthesis microfluidics and nsc biology my strong background in in situ synthesis thermoplasmonic nanoparticle characterization and microfluidics offer synergies with the host and secondment for generating new research lines and strengthening collaborations between the two institutions ultimately this action will expand my scientific network internationally enable me to hone my skills in the rational synthesis of plasmonic nanostructures and acquire knowledge in fundamental stem cell biology improve my mentorship expertise and lay the foundation for a successful career as an independent researcher at a top university or research center
electric breaker hammer transforming the mining and construction industries to zeroemission

a fully electrical impact hammer leh is proposed in this project in order to address the fundamental limitations from hydraulic breaker hammers hbhs as well as fostering opportunities in regard to electric transformation digitalization digileka and data based business in the construction and mining industries this novel patented technological innovation is based on the tubularic linear permanent magnet motor compared to hbhs leh reduces co2 emissions up to 100 saves energy up to 60 ends oil spills and excessive consumption of hydraulic oil is fully adjustable increases safety lowers noise and tremor levels provides significant lifecyclecost savings 80000 eurhammer in 4 years increases performance and precision and allows adjusting striking sequence this project will result in a totally new approach to hammering process in mining and construction providing a groundbreaking cost efficient digitalized connected safe environmental and user friendly solution
realtime urban mobility management via intelligent uavbased sensing

inefficient management of urban mobility leads to congestion with several socioeconomic and environmental adverse effects despite numerous research efforts and deployed technological solutions to address congestion the problem still persists one of the main reasons is attributed to the sparsity and low quality of traffic data unmanned aerial vehicles uavs are an emerging noninvasive visionbased traffic sensing technology that offers economic viability and fast deployment uavs can swiftly and controllably move over disperse locations to capture road traffic data and simultaneously measure multiple traffic parameters despite these advantages their applicability has so far been limited to occasional surveillance of road networks for live video monitoring or the extraction of historical traffic data uranus proposes realtime dynamic and continuous uavbased sensing of vehicular and pedestrian traffic and the use of the collected information for um management the envisioned paradigm features a intelligent spatiotemporal sampling from uavs b the generation of complete spatiotemporal measurement sets with quantified uncertainty c the development of suitable methodologies to close the loop by jointly controlling the urban mobility um and uav networks for enhanced um performance and d the strategic selection of measured parameters in this context uranus will design a solid framework for realtime urban mobility management targeting both vehicular and pedestrian traffic the developed framework will include um monitoring um control and uav operational planning methodologies exploiting the unique uranus sensing characteristics success of this project will transform our understanding of joint optimization between sensing monitoring and control not only in um management but also in other uavcentric fields such as air pollution monitoring
better realworld healthdata distributed analytics research platform

in recent years datadriven medicine has gained increasing importance in terms of diagnosis treatment and research due to the exponential growth of healthcare data the linkage of crossborder health data from various sources including genomics and analysis via innovative approaches based on artificial intelligence ai will enable a better understanding of risk factors causes and the development of optimal treatment in different disease areas nevertheless the reuse of patient data is often limited to datasets available at a single medical centre the main reasons why health data is not shared across institutional borders rely on ethical legal and privacy aspects and rulestherefore in order to 1 enable health data sharing across national borders 2 fully comply with present gdpr privacy guidelines regulations and 3 innovate by pushing research beyond the state of the art better proposes a robust decentralised privacypreserving infrastructure which will empower researchers innovators and healthcare professionals to exploit the full potential of larger sets of multisource health data via tailored made ai tools useful to compare integrate and analyse in a secure costeffective fashion with the very final aim of supporting the improvement of citizens health outcomesin detail this interdisciplinary project proposes the cocreation of 3 clinical use cases involving 7 medical centres located in the eu and beyond where sensitive patient data including genomics are made available and analysed in a gdprcompliant mechanism via a distributed analytics da paradigm called the personal health train pht the main principle of the pht is that the analytical task is brought to the data provider medical centre and the data instances remain in their original locationin this project two mature implementations of the pht padme and vantage6 already validated in realworld scenarios will be fused together to build the better platform
secure and sustainable supply of raw materials for eu industry

s34i will research and innovate new datadriven methods to analyse earth observation eo data supporting systematic mineral exploration and continuous monitoring of extraction closure and postclosure activities with the aim to increase european knowledge and autonomy on raw materials resources s34i uses eo not only for the management of technical and environmental issues for a green transition but also to support minings social acceptance slo and better legislation innovative eobased productsservices will provide new or more accurate rm mineral mappingexploration environmental and mine monitoring and mine safety at different phases of the mine life cycles34i will exploit copernicus and other satellite sensors optical and radar while other platforms as airborne lowaltitude platforms groundbased insitu techniquesmethods and fieldwork will serve either for calibration validation or to complement copernicus data especially at the very high scale spatial or spectral resolutions34i will provide 6 new open high added value datasets 14 new methods to analyze eo data using artificial intelligence being utilized at different phases of the mining life cycle 3 new prototyped eo based services for mining stakeholders 1 research and innovation agenda on eo for mining a set of recommendations for better policy and guidelines for eo uptake by the mining industry s34i results will be validated at six different locations in different phases of the mining lifecycle i land exploration in spain ii coastal exploration at the iberian peninsula atlantic coast iii extraction phase in austria and iv closurepostclosure phase in finland and germanys34i is an eu wide interdisciplinary and complementary team embracing partners from 13 countries and with a 5050 balance between industrial and research profiles s34i mining stakeholders will lead the path towards mining decarbonization while creating social and economic impact through eo uptake
highly ionized trapped 229thoriuma new paradigm towards a nuclear clock

among the more than 3000 nuclides that are naturally occurring or that have been artificially synthesized thorium229 is truly exceptional its remarkably low excitation energy makes it the ideal candidate for nuclear frequency metrology surpassing current atomic clocks such a nuclear clock opens doors to fundamental physics testing timevariations of constants and exploring the enigma of dark matter within hithor a conceptually novel methodology towards such a clock is proposed eventually leading to a noelectron barenucleus clock with trapped fully ionized 229th90 where all external perturbations from surrounding electrons are absent highlyionized 229th will be established as a distinctive laboratory for scientific explorations at the interface of atomic electrons and the nucleus by adding a single electron to the nucleus the unique effect of nuclear hyperfine mixing nhm is unlocked induced by the strong magnetic field of this one electron a vast acceleration of the nuclear decay by up to a millionfold is triggered hence for oneelectron 229th89 laser excitation of the nucleus as well as the reemission of photons are each enhanced by up to this factor of a million to date laser excitation of the nucleus hasnt been accomplished nhm will help to overcome this obstacle and exploited as a booster towards 229th laser excitation and a corresponding nuclear clock hithor will be realized at the ion storage and trapping facilities at gsi in darmstadt the only laboratory worldwide where highly ionized 229th can be synthesized in flight decelerated and finally trapped at rest at gsi and its helmholtz institute jena i will bring together the extraordinary expertise of inhouse scientists from the various disciplines required to tackle the challenges initial experiments will pave the path towards highprecision vuv laser spectroscopy of few or noelectron 229th and ultimately towards a singleion quantum logic nuclear clock
the first wide range flow sensor to unlock microfluidic cell analyses for preclinical studies

there is a critical need to improve the diagnosis drug discovery and development pipeline to increase the success rate of new therapeutics as low as 34 for cancer drugs and provide earlier detection and treatment microfluidic cellbased assays and analyses are one of the most promising strategies supported by direct feedback from industry and regulatory agencies integrated microscale fluidics adds an extra dimension to in vitro cell cultures and is an enabling technology of single cell analyses and nanotherapies however the main limitations with these platforms expressed by our clients from academia and industry are their inability to measure and control flow rate over a wide enough range 100times too narrow imprecision and failure to detect sensor drift that leads to experimental error our galileo flow sensor innovation demonstrates the technical ability to address these pressing requirements for microfluidic cell assays and analyses this proposal will advance the proof of concept to a viable demonstrator of the technology for beta testingthe timing is ideal for our solution expressed end user demand is high and legislative bodies have voted to reduce animal testing by 2035 galileo has strong competitive advantage in the microfluidic flow sensor market with a sam of 535 mil euryear increasing with the growth of nextgeneration sequencing and genomic medicine elvesys is an entrepreneurled microfluidics instrument company with demonstrated success in the development and commercialisation of 15 instruments for microfluidic flow control and the generation of 10 growing spinoffs in the last 11 years our end user feedback and iterative testing approach to innovation puts us in a position of strength to execute an optimal productmarket fit targeting market creation we have the proven technical expertise to deliver on galileo performance and the market contact breadth to disseminate exploit and communicate the technology to all stakeholders
bottomup manufacturing of artificial antitumor t cells

t cells play a central role in antitumor immune protection while their ability to target and eliminate emerging tumor cells is increasingly recognized fullyestablished tumors can efficiently evade t cell response significant efforts spanning several decades of research have been made to develop t cellbased therapies manufactured from donorderived t cells the use of tumordirected t cells engineered to express chimeric antigen receptors cars represents to date one of the most successful applications for treatment of chemoresistant cancers however several major drawbacks including economic factors suboptimal functioning and lifethreatening side effects are still hindering the full potential of t cellbased therapies to address this issue we aim to generate artificial t cells artcell that will mimic the antitumor function of a t cellbased therapy but in a safer more efficient and less expensive product artcells will incorporate two key features of activated t cells into giant unilamellar vesicles guvs the specificity of tumor cell recognition and the cytotoxic activity achieved through death ligands and cytolytic proteins functionalization of the guvs will be confirmed by immunofluorescent labelling of membrane proteins ie trail lfa1 and car and detection with flow cytometry the morphology of artcell will be monitored via cryoem sem and confocal microscopy the ability of artcell to target and kill tumour cells will be thoroughly validated in vitro by a combination of functional and high resolution live imaging assays as well as in vivo with two cell line and patientxenografts mouse models the artcell could allow to circumvent many of the current technological limitations that hinder a more widespread applicability of cellbased therapies without being subject to tumormediated inactivation
tailoring lattice oxygen and photoinduced polarons to control reaction mechanisms and boost catalytic activity

photoelectrochemistry can revolutionise our way of life by harnessing sunlight to produce renewable fuels and chemicals and by helping us preserve the planet for future generations however enhancing the efficiency and selectivity of photoelectrochemical pec reactions remains a challenge especially for the phototransformation of organic compounds required in industry the problem stems from the difficulty of characterising the catalytic interface of heterogenous systems under working conditions this prevents us from elucidating the reaction mechanisms and so far has dramatically limited our ability to control reactivity in a similar way to what can be achieved with homogeneous molecular catalysis a particular challenge of solids is that they are prone to form defects during catalysis however how defects and lattice distortions impact the steps of the catalytic cycle remains unknown such mechanistic understanding is critical to redesign new materials and boost catalytic efficienciesphotodefect will address this gap in our understanding by applying new methodologies to the study of oxidation reactions at metal oxide photoelectrodes our approach is to combine operando mass spectrometry and electrochemistry with optical and xray lasers to provide unprecedented insights into the polarised interface our strategy is to detect in situ the formation of reactive intermediates defects and catalytic products in order to map out reaction mechanisms and establish ways to control them on demandwe will use cuttingedge methodologies to establish whether defects and photoinduced structural distortions or polarons participate in the steps of the catalytic mechanisms most importantly if successful our results will reveal new ways to tune the yield and selectivity of pec reactions by controlling defects and polarons these results will influence the way we synthesise pec materials and the theoretical models we use to understand reaction mechanisms
quantummechanical modeling of the dissociation of hydrogen bonds

hydrogen bonds are everywhere in nature and they are important in many fields of science wellknown examples come from biology helix structure protein folding enzyme docking chemistry solvation structure and properties of water and atmospheric science nucleation and growth of aerosols today the spectroscopic features of hydrogen bonds are relatively well understood but much less is known about the associated ultrafast dynamics the theoretical models that are used to understand and design present ultrafast experiments are often based on classical or semiclassical approximations to describe the movement of the nuclei with the recent advances in both theory and ultrafast imaging techniques we believe that the time is ripe for a full quantum mechanical picture of hydrogenbond dissociation a quantum mechanical picture of hydrogen bond dissociation will contribute to the basic understanding of chemical biological and atmospheric processes in this project i will perform a comprehensive quantum mechanical study of the hydrogenbond dissociation dynamics of a small hydrogenbound complex pyrroleh2o the calculations will be performed in a reduceddimensional framework for which the central hypothesis is that certain vibrations dictate the dissociation process while other vibrations serve as spectators the dissociation process will be initiated through an infrared excitation that provides just enough energy to dissociate the complex but not enough energy to initiate other unwanted processes we will establish how the reaction mechanisms for hydrogenbond dissociation manifest themselves in the ongoing ultrafast dynamics experiments performed in the controlled molecule imaging cmi group the calculations will be tailored to design and simulate realistic experiments and to facilitate the analysis of the experimental results
random matrix and integrable systems

the main topic of this proposal is the study of the statistical mechanics of integrable systems a particular class of dynamical systems for which the behaviour is fully predictable from the initial data all relevant information about the dynamics is encoded in a particular matrix l called lax matrix we want to compute the maximum amplitude for the solution of the ablowitzladdik lattice and the correlation functions for the volterra lattice and the exponential toda one the first quantity is instrumental to study the phenomenon of rouge waves formations and the second one to compute transport coefficients of specific lattices to compute these quantities we need to obtain the distribution and the fluctuations of the eigenvalues of the lax matrix when the initial data are sample according to a generalized gibbs ensemble thus the lax matrix becomes a random matrix to study these objects we use large deviations principles furthermore we also considered the focusing ablowitzladdik lattice the focusing schur flow and the family of itohnaritabogoyavleskii lattices the eigenvalues of the lax matrices of these systems when the initial data is sample according to a generalized gibbs ensemble lay on the complex plane we plan to compute the density of states and the joint eigenvalues distribution of the random lax matrices by using the inverse scattering transform that is a canonical transformation between the physical variables and the spectral variables of the lax matrices the hermitization technique and the brown measure characterization in the end thanks to this analysis we will be able to define some new random matrix ensembles on the complex plane for which it is possible to compute the eigenvalues distribution and the joint eigenvalues density explicitly so we will define some new betaensembles