Dragon09/odtu_chatbot huggingface dataset:
a decision within a decision exploring the psychological electrophysiological and computational mechanisms underlying changes of mind and metacognitive judgements

metachange is an original and innovative project combining large scale online psychophysics experiments invasive electrophysiological recordings in epileptic patients and computational modeling in order to brush a comprehensive picture of the effect of postdecisional information on the cognitive and metacognitive components of decision makingthe project will use a causal approach based on stimulus manipulation or direct brain stimulation to explore the effects of postdecisional information on these components of decision making and assess how these effects unfold in time we also aim at determining the neuronal mechanisms supporting decisional and postdecisional integration as well as their link with metacognitive processes such as confidence ratings and changes of mind finally we intend to develop a computational model of decision making rooted in evidence accumulation accounting not only for response times and response accuracy but also for changes of mind and confidence ratings overall metachange aims to address in an interdisciplinary and synthetic manner some of the current challenges in the field of decision making and metacognition
a disruptively new approach to weed management shaping the future of sustainable agriculture

oddbot is a technology startup in the netherlands creating the first 100 environmentally friendly autonomous weed management robot in the world the solar powered agrithink robot is able to recognise weeds in various growth stages and remove them mechanically between crops the cuttingedge ai computer vision and unique gripper technology developed by the team allow cost efficient operation with minimal impact to the environment as no pesticides are used by 2023 oddbot will have further increased the precision and capacity of the robot performing removal at 1 mm accuracy while driving 360 mh farmers will have access to the weedingasaservice solution through strategic partners without need for capital investment soil and water pollution caused by herbicides is avoided eg 10ha of land will avoid using 240 litres of herbicides yearly operating autonomously the solution is advantageous to both organic and conventional farmers reducing the need for labour and chemicals
photons and electrons on the move

the conversion of sunlight photons to electrons is the essence of the natural photosynthesis that powers life dedicated antennas funnel the suns energy towards reaction centres amazingly nature reaches almost perfect photontoelectron conversion efficiency while it regulates down at high light level for protection and survivalhow does nature dynamically reorganize the membrane architecture its packing order diffusion on light stress which pathways are taken to charge separation what is the role of fluctuations coherences color and vibrationsmy group recently succeeded in first detection of the fs spectral progression of a single exciton the nanoscale tracking of electron transport and reveal energy disorder of a single photosynthetic complex these pioneering results together with our expertise in fs pulse control and nanoimaging set the grounds to now address photosynthetic lighttocharge transfer in real nanospace and ultrafast specific objectives areenergy transport on the nanoscale tracking spatiotemporal membrane transport by superresolved transient optical microscopy and nanophotonic light localization to reveal disorder and quantify diffusionlight to charge photocurrent detection of the energy flow by ultrafast photothermoelectric graphene and photoelectrochemical detection i will probe charge separation of the reaction center directly quantify rate and efficiencymultidimensional spectra on the nanoscale by collinear 2d spectroscopic imaging with photocurrent and fluorescence detection i will map the development of the energy landscape at special membrane spots ultimately on a single complexfunctional imaging visualize the dynamic lightresponse of the membrane architecture the changes in packing density disorder diffusion and pathways to charge separationthe novel toolset of fasttrack and the insights on natures energy strategies are directly relevant for artificial photosynthesis and solar technology
alliance for modelling industries towards the green deals objectives and circularity

the objective of the european green deal policy is to be climateneutral by 2050 however the key problem of the industry transition towards climate neutrality is that the combined response of demand global trade and industrial production to policy measures is highly complexthe aim of the amigdala project is to facilitate decision makers in governments and in the eus industries to define and evaluate pathways towards climate neutrality circularity and sustainability in this project we combine insights in decisionmaking with integrated modelling of scenarios to analyze transformation pathways we analyze decisionsmaking in government and in industry by the control options that they have such as incentives regulatory measures and investments in capital projects to contribute to the green deals objectives we deliver an integrated model to represent eu industrys transformation pathways up to 2070 and cover historical developments from 1990 we develop a method to combine established models of separate domains and let them operate asone this integrated model shows the combined effect of control options on economy trade energy materials flow biomass and industrial production on an eu systemslevel and within a global context on a locallevel we use models to analyze the decisions by industry clusters to invest in transformative solutions and utility operators to build infrastructure with the integrated model we run scenarios that we develop on the basis of the control options of decisionmakers to achieve industrial transformation towards climate neutrality the integrated model allows to analyze the effect of framework conditions on the uptake of transformative solutions and products and on energy demand emissions and material use the amigdala consortium has a deep and shared knowledge of technologies economy life cycle analysis and complex systems modelling and decision support analysis
programmable atomic largescale quantum simulation 2 sga1

the project programmable atomic largescale quantum simulation pasquans21 is the first decisive step toward the transformation of the european landscape for programmable quantum simulators finally delivering internationally leading platforms involving over 1000 neutral atoms in optical tweezer arrays and also in optical lattices in the context of this specific grant agreement we will bring together partners from academia and industry including technology enablers platform developers and endusers to address central technological challenges we will connect technologies across national borders and use our combined expertise and technologies to scale up the system size reduce noise and temperature and improve stability we will test and transfer knowhow between trapped ion and neutral atom platforms and integrate the hardware with applicationspecific software stacks for analogue solutions of relevant realworld problems including verification and optimal control techniques we will facilitate the expansion and networking of the supply chain and startup companies delivering platforms enroute to the delivery of technology readiness level trl 67 quantum simulators including both cloudbased platforms and quantum simulators linked with existing highperformance computing infrastructure we will work with the enduser community across academia and industry to identify new specific applications where quantum simulators provide a practical quantum advantage over traditional highperformance computing we will particularly address potential applications in materials science quantum chemistry and in optimisation we deliver a clear plan for dissemination exploitation and communication this includes developing and protecting intellectual property and to expand awareness of quantum simulators and their capability and applications amongst policy makers industry and the general public
leveraging early adolescence for development longitudinal and experimental evidence from ghana

early adolescence is a key window for human development strategic timing of interventions during this life stage may seize opportunities and prevent risks bolster the impact of earlier investments and ease damages from previous adversity yet evidence on whether such programs can fulfil this potential for which children and through which channels is scant especially in lowresource settings where 90 of the worlds 12 billion adolescents live i will tackle these gaps by relying on a cohort of 2500 children approaching early adolescence in 2015 this sample participated in a trial evaluating quality preschool education in ghana and has been followedup since the program improved child development through middle childhood i will rerandomise this sample at 12 years to test a parenting skills program to enhance early adolescent development through improved parenting support and parentadolescent interactions children and parents will be reinterviewed when children are 13 15 and 17 years through mixedmethod data collection outcomes include adolescent socialemotional and academic skills health including stress biomarkers and adultlife transitions this data will allow testing dynamic complementarities between interventions during early childhood and early adolescence or whether interventions in adolescence might compensate for earlier adversity in the short and longerterm methodologically these questions can be convincingly studied only if data are available for the same individuals over time and if variations in exposure to early childhood and early adolescence programs are exogenously driven this is the first study that addresses both requirements providing a breakthrough heterogeneity by child gender and socioeconomic status and mechanisms are further research foci leads highrisk components are wellbalanced by my indepth knowledge of the field methods and study context with high potential for scientific and societal impact
from the third pole to the sea impacts of melting glaciers and snowpacks on downstream water and food security

the high mountains of south asia often called the third pole store large volumes of water in their glaciers and snowpacks twelve large river basins fed with meltwater from these mountains are home to almost 2 billion people in their floodplains a significant fraction of the global food is produced 34 and 23 of the global rice and wheat production respectively this makes the third pole by far the most important region globally in terms of water reserves on which both water and food security for a huge population heavily dependthe water supply from the third pole mountains faces many threats glaciers and snowpacks are melting at unprecedented rates and large parts of these reservoirs are likely to disappear by the end of the 21st century the dependence of downstream populations on mountain water resources is however increasing mainly due to increasing water needs continuing groundwater depletion and changes in monsoon precipitationthere is still limited scientific understanding of the impacts of melting glaciers and snowpacks on food and water security of people living downstream 3pole2sea aims to quantify the links between the water stored in the high mountains of asia and the water and food security of the people living downstream evaluate how those links will change in the future and use this understanding to support adaptation design i hypothesize that the 12 river basins have very different upstreamdownstream dependencies resulting in different cascading risks for water and food security and therefore need different responses for effective adaptationi will develop new models and methods to quantify upstreamdownstream links and associated risks for all river basins that are fed by glacier and snowmelt from the third pole the results will advance science and inform policy makers and water managers on how to make agriculture in one of the largest food producing areas in the world more resilient to changes in the mountains
pavement scanning with egnss technology for accurate assessment

the proposed project aims for the development to market trl89 of egnssbased integrated lowcost sensor technologies and artificialintelligencedriven openarchitecture software solution machine learning ml and machine vision mv for the detection classification and georeferencing of roadway pavement surface anomalies and for the lowcost assessment of roadway pavements using participatory sensing the proposed system is of practical importance since it provides continuous information about roadway pavement surface anomalies which are valuable for efficiently monitoring the transport infrastructure and for public safety the vision for roadway condition assessment by utilization of smartphonelike technology is set in parallel with the hypothesis that such technology can be used for crowdsourced data collection and analysis in gisbased pavement management systems pms and that the developed technology and related transport informatics are disruptive technologies that have the potential to reshape the transport and infrastructure om industries through the project objectives discussed in the proposal
unraveling the molecular core of conductivity in cablebacteria nanowires for circular bioelectronics

achieving sustainability and circularity in electronics is a grand societal challenge that requires urgent action the production of electrical components is energy intensive and puts a burden on the environment and resources ewaste represents the worlds largest growing wastestream and is increasing through internet of things microbially produced biobased electronics provide a promising sustainable alternative which can be produced from renewable feedstocks and provides better biodegradation and can be extensively tuned with genetic or chemical modifications cablebacteria are unique class of sediment dwelling sulphateoxidizing microbes whose lifestyle has evolved entirely around long range cm scale conductivity amongst conductive materials in biology the conductive cores in the periplasmic fibres of cablebacteria show the highest conductivity by a wide margin and should form a primary starting point for bioelectronics design apart from tentative models on the fibre structure little is known on the molecular basis and mechanism behind their conductivity which seems to revolve around an entirely novel nis cofactor to understand the mechanism behind this remarkable biological conductivity renistor responsible electronics from nickel sulphur cofactor aims to investigate the molecular composition of the novel cofactor as well as its coordination chemistry and its oxidation state by integrating orthogonal highend spectroscopic techniques mass spectrometric methods and chemical imaging the identity of the conductive molecule and its role in within the fibres will be analyzed so that it can be subsequently produced in vitro or form a template for the design of new biomolecules this innovation will clear the path for electronics to make the essential transition from the fossilbased to the biobased economy enabling radically new production and recycling pathways
impacts of changing climate on arctic shelf hydrogeology

rapidly thawing arctic permafrost is an important but poorly constrained contributor to global carbon budgets and an unknown in the climate change equation arctic shelves are critical regions in terms of fluid dynamics due to high organic matter and groundwater fluxes thin permafrost and shallow gas hydrate stability zones predictive modelling of the arctic subsurface is challenging due to highly transient multiphysics processes and dataacquisition constraints related to harsh climate and remote terrains which lead to critical data sparsity and high uncertainties using advanced computational methods we aim to develop a systematic processlevel understanding of how climatechange related warming along arctic shelves impacts permafrost integrity icelayer distribution subpermafrost groundwater and gas and gas hydrate dynamics we also aim to understand how these processes influence seafloor morphologies eg pingos pockmarks which can provide useful proxies for linking easier to access seafloor observations with underlying datasparse subseafloor processes our models and methods will be developed in a highly generalized framework which within this project will be specifically applied to study climate change impacts on the fjords of svalbard in the high arctic beneficiary of this funding will be university of malta where the applicant a mathematician will receive training in seafloor data acquisition processing and interpretation and practical aspects of continental shelf geomorphology and hydrogeology which will empower her to make meaningful and judicial use of data in her modelling studies the project goals align with un sustainable development goal on climate action and our findings will have high scientific and socioeconomic impacts by bridging key knowledge gaps and offering comprehensive predictive framework to government agencies ngos and commercial entities for assessment of warmingrelated risks in the arctics
breaking through the impact of turbulence on the gasliquid interface

a rigorous understanding of the role of turbulence with its wide range of scales and phenomena on mass transport across a gasliquid interface gli is one of the remaining challenges in fluid mechanics its importance is illustrated by considering that nearly 50 of anthropogenic co2 is driven into the oceans by a turbulent process we do not fully understand we know that turbulence modifies the topology of the gli from both the liquid and gas sides but due to the complexity of the problem we do not understand the dominant mechanisms that control this process or how they connect to mass transfer my previous work has both shown how turbulence can be tailored in the lab and how the parameters of the turbulence influence shear on a surface making me well placed to tackle this problem a plethora of models based on limited data exist for mass transfer across a gli but they have contrasting backgrounds parameters and results this is indicative that something is missing and that there is a critical need for deeper understanding of the underlying phenomenaglitr will provide a step change in our understanding of phenomena at the gli by initiating a paradigm shift in the way lab experiments are conducted considering the complexity of interacting turbulent gas and liquid flows for the first time tailored turbulence with adjustable intensity and length scales will be generated with an active turbulence generator in both the gas and liquid simultaneously to provide new insight not previously accessible this will result in deformed interfaces that will necessitate the development of new methods to investigate the associated mass transport and fluid mechanics correlations between the tailored turbulence in both the gas and liquid the surface topology and the mass transport across the gli will enable the development of datadriven models and breakthroughs in our understanding of interfacial phenomena while initiating a wholly new way of addressing this problem
traits and games how personal cognitive and psychological features affect strategic behavior

i will analyse how agents traits affect behaviour and strategic reasoning in decision problems and games traits encompass stable cognitive and psychological features of agents such as tastes skills cognitive abilities attitudes toward uncertainty and misspecification concerns for others and propensities to be affected by emotions to build an adequate formal framework i will try to comply with a separation principle the description of the rules of interaction should be separate and independent from the description of players traits this will enable a fruitful and conceptually rigorous analysis of personal traits in games including players abilities and cognition analogous to what has already been donefor example concerning attitudes toward risk also to model interactive strategic thinking aka epistemic game theory i will use a flexible approach that unlike the standard one does not assume common knowledge of cognitive rationality eg of coherence i will start with individual decision making and planning and then embed the analysis in interactive situations with a special attention to sequential decision making and the role of time building on and improving upon my previous work on the foundations of game theory and psychological games most of the analysis of the impact of traits on behaviour will be either focused on steadystate long run outcomes using variations of the selfconfirming concept or outcomes consistent with subjective rationality and strategic reasoning characterized by variations of rationalizability examples of the research questions to be addressed are the following 1 how do cognitive feature affect strategic interaction 2 can institutions and agreements be robust to assumptions about interactive knowledge and beliefs about traits when players reason by forward induction 3 how can we model contextdependent motivations 4 what is the impact on longrun of concerns for misspecification
cardiovascularresolution of inflammation to promote health

with 19 million deaths and an economic burden estimated to 200 billion each year in europe cardiovascular diseases cvd represent a significant public health problem with clear unmet needs in terms of prevention chronic inflammation is a critical residual risk for the health to cvd transition with limited possibilities to stop it without causing immunosuppression to tackle this issue careinhealth propose to identify the resolution of inflammation to develop new prevention strategies to lower inflammation with a retained immune defence against infections to sustainably stay healthy as chronic inflammation and cvd are driven and regulated by lipids an interdisciplinary consortium of highly experienced centres has been assembled to collect integrate and exploit epidemiological multiomics and immune data to be translated into the careinhealth atlas which will be provided openly accessible for the scientific community and health care professionals such knowledge base will not only allow to systematically identify and validate an individuals critical immune pathways through aiempowered models and clinical translation but most importantly will provide tools for drawing a personalized blueprint on how to build a unique model for each citizens resolution of inflammation to apply these findings a digital careinhealth mcdss multicriteria decision support system will be developed to guide health care professional to design personalized cvd prevention strategies to further extend projects findings and empower citizens a careinhealth biosensor pointofcare will be constructed to monitor resolution of inflammation by evaluating these tools in real life settings through two proofofconcept clinical trials careinhealth aims to propose a true paradigm shift for the public health needs on how to stay staying healthy in a rapidly changing society by promoting resolution of inflammation