Dragon09/odtu_chatbot huggingface dataset:
geospatial artificial intelligence analysis for tailings storage facilities

the geospatial artificial intelligence analysis for tailings storage facilities gaiatsf aims to design and develop the prototype of a system based on satellite earth observation and machine learning algorithms to achieve continuous multilevelmultiscale characterisation and monitoring of tailings storage facilities tsfs to achieve this goal gaiatsf consortium will engage in interdisciplinary and international collaborative research and development integrating the fields of geoscience earth observation eo and machine learning ml science as well as five countries spain portugal netherlands czech republic zambia and south africa the project will focus on establishing strong interactions with user communities mining authorities and mining industry involved in tsf operational activities with the aim of defining clear customerspecific functional and technical requirements these requirements will lay down key variables kv that could be used as parameters to monitor tsf as well as precise performance objectives for the gaiatsf prototype on this foundation the cooperative work between scientists and the mining operational communities will lead to explore how three technical disciplines namely satellite earth observation geoengineering and machine learning can be integrated into the design of a prototype supporting the automatic detection of anomalies and risks in tsfs based on the designed variables and structured training datasets different machine and deep learning algorithms will be tested and evaluated to design and develop a prototype supporting the automatic detection and prediction of anomalies and risks in tsfs
artificial intelligence for early detection of noncommunicable disease risk in people with breast cancer

the ultimate ambition of the artillery consortium is to enhance long term health of the growing population of breast cancer survivors by making optimal use of routine imaging for timely detection of actionable chronic conditions or their risk factors artillery will develop trustworthy ai systems that allow robust and accurate risk prediction of common chronic conditions including cardiovascular disease chronic obstructive pulmonary disease unfavorable body composition and osteoporosis implementation of these ai systems in routine care will provide healthcare professionals with objective and quantitative parameters of their patients individual chronic disease risks permitting them to start prompt treatment and implement risk reducing strategiesunique aspects of artillery include the continuous and close interaction between renowned computational scientists influential breast cancer professionals and the largest breast cancer patient advocacy organisation in europe as well as direct access to a large and comprehensive realworld data infrastructure that includes ct scans and clinical data from 26000 patients with breast cancer this partnership will result in trustworthy ai systems for prevalent chronic conditions relevant to breast cancer patients and physicians and ready for implementation at radiotherapy workstations across europe artillerymanuals will be developed and made available to multidisciplinary tumour boards and will contain recommendations on how and when not to use ai systems in routine breast cancer care and on optimal management of breast cancer patients identified to be at high risk of chronic conditionsat the end of the project we will have augmented the understanding and perception of the public towards the use of ai systems in routine healthcare and empowered breast cancer patients to make targeted lifestyle changes based on their individual risk profile thus improving their life expectancy and quality of life
beyond hyperelasticity a virgin land of extreme materials

beyond bifurcation beyond instability beyond even hyperelasticity there is an unexplored world of superior materials capable of introducing a hightech revolution and even influencing our daily lives surpassing bifurcation and instability yields unprecedented deformational capabilities and going beyond the concept of the elastic potential leads to materials capable of absorbing energy from the environment in a closed cycle of deformation and releasing it upon request the road to this new paradigm is the fusion of the concepts of structural mechanics with the principles of solid mechanics both brought to the highly nonlinear realm of extreme deformation this opens virgin territory left unexplored since the 100yearsold definition of the elastic potential which has been treated until now as inviolable dogma but structural engineers know structures capable of harvesting energy from the wind or becoming dynamically unstable when subject to follower loads so that the implantation of these structural concepts in microscale form into a macroscopic solid leads to the creation of materials surpassing the concept of elastic potential and opening new horizons in the design of new materials our recent work exhibited that a purely elastic and conservative system can experience flutter instability this strongly implies that an elastic solid can be devised that will exhibit this instability and violates hyperelasticity implementing these concepts at the microscale with elements generating microscopic interactions to suckdeliver energy fromto external sources leads to architected materials which may harvest energy or release it to move a mechanism or propagate a signal with amplification or suffer a hopf bifurcation and selfoscillate at designed frequency this is an unexplored field where we expect applications in metamaterials locomotion devices wearable technologies sensors or interacting devices for use in everyday life and medical applications
the role of social cognition for mental health

mental health problems affect approximately 12 of children and have dramatic consequences at the individual and societal level this mental health crisis is rapidly worsening as a consequence of the pandemic understanding mechanisms contributing to mental health outcomes is critical to identify children at risk of unfavorable mental health outcomes and to devise targeted and effective interventions since precursors of mental health problems manifest in childhood as altered social behavior my research project aims to uncover developmental pathways to altered socioemotional behavior in preschool children first i aim to identify cognitive processes underlying socioemotional behavior that can be directly targeted in interventions to this end i propose to study the relationship between social cognition and socioemotional behavior in preschool children even though the relationship has been established in older children and adolescents we lack research focusing on infancy and early childhood evidence of this relationship earlier in life promises to have important implications for clinical interventions second i aim to help identify a neural marker of altered behavior that can be leveraged for early detection of atrisk individuals to this end i propose to use neuroimaging functional magnetic resonance imaging or fmri to measure the brain network underlying social cognition and examine its association with socioemotional behavior a critical novel aspect of my work is that i will validate the use of a portable neuroimaging technique functional near infrared spectroscopy or fnirs which can be more easily deployed in clinical practice for early detection strategies
valorisation of agroindustrial waste to obtain zeolitebased composite materials and their use in environmental remediation and biofuel production

in eu an average of 31 million tons of paddy rice is produced ca 450000 ha around 80 of the eu rice production takes place in italy and spain with a further 12 in greece and portugal globally 750 million tons of rice husk rh are yearly produced and it is estimated a continuous increase of 11 each year each ton of rice can produce 20 of rh that must be eliminated since it accumulates in the environment due to its low degradability rh generates 1820 of rha through a combustion process the inadequate deposition of rha pollutes the environment and deteriorates the respiratory system of humans and animals during rh incineration the burnt ash can spread into a large area facilitated by air causing environmental pollution according to these figures large volumes of rhas with low density are becoming a major challenge to the surroundings of dumping environment and dump fill areas valzeo intends to employ rhas as raw supplies to produce composite materials based on hierarchical zeolites modified by metal oxide nanoparticles mon and metalorganic framework mof materials with a double purpose the removal of pharmaceuticals pesticides dyes and microorganisms in water and the catalytic production of biodiesel to address such challenge valzeo will promote the exchange of researchers from participating institutions to enhance the exchange of knowledge best practices knowhow innovative ideas experience cooperation and culture of work valzeo will foster improve and develop permanent international and intersector collaboration between academic research centers and private sector enhancing the exchange of knowledge best practices knowhow innovations experience mutual cooperation and culture of work at different regions and countries es it uk and cu through a series of scheduled secondments
magnetic neural network for predictive maintenance

golana computing is a new startup company spinoff from spinteccnrs exploiting a recent scientific and technological breakthrough in the design and fabrication of biomimicking magnetic neuronsbreakthrough studying new magnetization reversal schemes we have inadvertently discovered that domain wall depinning from geometrical traps imitates in many regards the spiking of biological neurons based on this we designed fabricated and tested magnetic neurons able to complete biomimicking tasks our magnetic neural network performs speech recognition and speaker identification in realtime without any prior feature extraction the audio is simply transformed into spikes by a mechanism inspired from the mammalian ear our goal is to develop a technology and fabricate a prototype that extends this unique ability to other types of analog signals and apply it for predictive maintenance in the manufacturing industry the present solutions based on mainstream artificial intelligence ai struggle because the problems at hand are too fragmented the training data is too scarce and the model engineering relies on very specific expert knowledge our solution frugal in terms of data and resources based on a taskagnostic generic device is able to identify unusual patterns in the analog signals our biomimicking approach should imitate the ability of human technicians which assess the state of their machines by the sound on the long term our technology could be adapted for a variety of ai applications requiring low energy consumption or full privacythe eic transition call corresponds exactly to our present needs accelerate the development and the market readiness of our technology moreover we address explicitly the requirements for green digital devices by working on the edge our device reduces the energy and resources required for data transfer and by imitating the biological neurons it also reduces the energy required for the computation
a middle way probing sufficiency through meat and milk in china

about onefifth of the worlds greenhouse gas emissions come from agriculture much of this relates to livestock used for animalbased foods rather than arguing for increased efficiency midway probes the concept of sufficiency to explore its potential for reducing human impacts on earths biosphere while preserving overall welfare ie its potential for defining a middle way between too little and too much to do this midway studies the cases of meat and milk in china while meat was always a highstatus product milk was historically considered a barbarian food and most chinese were intolerant to it both products were scarcely consumed in chinese history but have boomed in popularity over the past 40 years while often thought about as a change of consumer preferences it has taken a concerted effort by the chinese government and domestic and international actors to make both products integral to chinese food practices seeing china as a strategic research site to ask questions about the supply and demand of animal foods the midway project hypothesises that what has made meat and milk integral to chinese food practices might also be otherwise ie opening up a possibility for a future disembedding of meat and milk from food practices thus using a constructivist inspired lens midway makes use of practice theory and systems of provision to study the normalisation of animal foods in china particularly since 1978 with chinas opening up the ultimate objective is to probe the concept of sufficiency as a useful organising principle to achieve reduced consumption highlighted through the subobjectives of understanding how meat and milk have been rendered desirable in china perspectives that show how food is connected to social technical and cultural variables and the system that provides food are lacking internationally and could lead to changes through facilitating a multifaceted policy response
an individualspecific understanding of how synchrony becomes curative

human beings constantly go in and out interpersonal interactions in their daily lives these interactions are assumed to have critical effects on mental health but how such interactions affect mental health is poorly understood synsig suggests that interpersonal synchrony is an individualspecific mechanism underlying curative relationships it seeks to go beyond the onesizefitsall the higher the synchrony the better theoretical assumption underlying the state of the art research it is the first to propose that individuals have their own individualspecific traitlike synchrony signature as manifests across interacting partners it further proposes that to make interactions curative it is necessary to induce an individualtailored correction to such a signature that is the amount and direction of the changes in synchrony must be guided by the individuals synchrony signature to develop an individualspecific understanding of synchrony synsig focuses on curative interactions encapsulated in time and space the therapeutic relationship between the client and therapist it will investigate the existence of individualspecific synchrony signature and how individualtailored correction of the signature serves as the mechanism transforming relationships into curative ones it will implement multimodal markers motion acoustic physiological facial expression for disentangling the traitlike synchrony signature and statelike deviations from it of individuals participating in multiple dyadic interactions with humans and virtual humans the first multimodal feedback system on momentary deviations from the signature will be developed and used to facilitate individualtailored changes in synchrony and draw causal inferences between such changes and mental health outcomes the findings will provide new insights into the multilayered individualspecific nature of synchrony and bring us closer to understanding how human connections affect our mental health
the urban burden of disease estimation for policy making

in europe more than 70 of the population lives in urban areas cities have long been known to be societys predominant engine of innovation and wealth creation yet they are also a main source of pollution disease and mortality which is to some extent linked to suboptimal urban and transport planning practices the proposed work aims to improve the estimation of health impacts and socioeconomic costs andor benefits of environmental stressors advance methodological approaches and foster their acceptance as common good practice for urban areas to help strengthen evidencebased policy making at city national and eu level we will focus on nearly 1000 cities and environmental stressors including air pollution noise temperatureheat and lack of green space but we will also include physical activity as a main determinant of health and examine the effects of gender and inequality in the impact estimations we aim to produce a system that will provide updates every 3 years to be able to monitor progress it will extensively involve stakeholders and conduct knowledge translation we will use transdisciplinary and systemic approaches bringing together a team of amongst others experts and practitioners in urban and transport planning environment and public health economics retail and business education sector policy analysis knowledge translation and involve citizens and ngos
how plants deal with heat and cold molecular mechanisms of auxin transport and signaling in response to temperature stress

ambient temperature above or below a threshold can adversely affect plant growth and development and even lead to death the tightly regulated distribution of the hormone auxin throughout the plant body controls an impressive variety of developmental processes that tailor plant growth and morphology to environmental conditions although nonoptimal ambient temperature can alter auxin transport the precise nature of this alteration and the underlying molecular mechanisms remain enigmatic hence the aim of hotandcold is to dissect the molecular mechanisms involved in auxin transport and its downstream signaling upon temperature stress down to the tissue and celltypespecific level focusing on the root of the model organism arabidopsis thaliana to achieve this aim i will combine highresolution imaging techniques integrated with a temperaturecontrolled stage system massspectrometrybased phosphoproteomics trapseq and chemical screens in a multifaceted approach that has never been used for such a study in plant root systems using this approach i expect to reveal i the temperatureresponsive phosphoproteome of membrane proteins ii the link between changes in membrane fluidity and the dynamics of auxin transport components within the plasma membrane iii celltypespecific translatomes that orchestrate auxin transport upon temperature shock as well as in the gradual temperature stress response and iv sensors and components of the signaling pathways controlling plant acclimation to temperature stress taken together the fundamental knowledge obtained through this research will contribute to the mechanistic understanding of plant responses to the temperature variability that will accompany climate change such understanding is key for anticipating the impacts of climate variability on agricultural and natural ecosystems
enhancing capacitybuilding for leveraging innovative procurement strategies in europe

innoinnovation procurement ip is a recognised strategy for driving technological development in the public sector and spurring economic growth it modernises public services and accelerates the market entry of innovations however europe has not fully tapped into its potential due to barrierssmall innovative companies should be more interested in ips but face challenges engaging with public procurers pps this is due to a lack of awareness about public contracts and b distrust in the procurement process startups find it difficult to meet the requirements and adapt to lengthy procurement procedures leading many to avoid themthe barriers faced by public procurers when working with startupsqualitative selection procedures often favour large cooperations in pp and there is little understanding of startup accreditation mechanismsevaluating startups requires precise adjustments to criteria related to technical solvency economic performance and autonomyestablishing testing environments like regulatory sandboxes and granting temporary testing licenses for startupsunderstanding acceptable payment options and liquidity needs specific to startups in procurement processesthe eclipse project will design and test a new cuttingedge interaction model to connect pp and innovative suppliers with investor ecosystems special attention will be dedicated to the role of venture capitalists and how they can effectively contribute to the ip process and foster the market exploitation of its results eclipse will build a system of tailored advisory services and tools to bridge the gap between pps needs and innovative suppliers capabilities these services will possess the expertise and competencies necessary to overcome barriers that impede the integration of innovation in public sector by leveraging their specialised knowledge the advisory services will enhance coordination among member states and associated countries in procuring innovative solutions
its also what you produce experimental evidence on creating markets for quality in lowincome countries

half of the worlds extreme poor or over 430 million people live in subsaharan africa the vast majority live in rural areas and work in agriculture where productivity is desperately low this keeps welfare low now and in the future as agricultural productivity increases are seen as a condition for both structural transformation and to avoid the worst impacts of climate change this is the motivation for bringing the green revolution which has so far bypassed the continent to subsaharan africa despite the logic being compelling the results from a decade of research on technology adoption in african agriculture have been largely disappointing interventions aimed at increasing farmers ability to invest in inputs to produce more of what they already do have not proven transformative in this research proposal i will investigate a complementary explanation why income and productivity in african agriculture remain low it is what farmers produce precisely the quality and value added of their output that keeps them poor and they produce low quality because there is no demand for smallholders to produce high quality or higher valueadded outputs as low quality limits price and thus farmers potential income missing markets for quality can help explain the low returns to farming at the core of this research proposal is the hypothesis that markets for quality are missing because of a fundamental information problem quality is a difficult to observe characteristic i will rely on three multiwave randomized controlled field trials to study technological and institutional solutions to overcome this information problem which hamper demand for high quality products in the export market work package i and at home work package ii in the final work package i will complete the cycle and study how increases in demand for high quality outputs and access to high quality inputs can jumpstart a green revolution in rural africa