Dragon09/odtu_chatbot huggingface dataset:
photoinhibition nature of the process and influence on primary productivity across scales

photosynthetic microbes contribute over 50 of carbon fixation on earth inhabiting extremely diverse environments they always have to cope with a friend that is simultaneously their enemy sunlight photon energy is necessary for photosynthesis but it continuously damages the photosynthetic apparatus primarily the first enzyme in oxygenic photosynthesis photosystem ii psii in the process of photoinhibition upon photodamage psii becomes irreversibly inactivated unable to do electron transfer and requires costly repair involving protein translation photoinhibition represents a major limiting factor to terrestrial and aquatic photosynthesis despite decades of research on psii and photoinhibition many key aspects of photoinhibition remain unresolved among them the site within the psii complex where the photoinhibitory damage takes place as well as its molecular nature partitioning of the known different types of damage dependent on the environment and conditions the role of the mysterious haem b559 conserved in phototrophs close to psii reaction centre and transferring electrons long speculated to play a role in photoprotection but with no convincing role assigned to date in photonics i aim to focus on these issues to provide a thorough description of photoinhibition and photoprotection strategies in photosynthetic microbes i will use a combination of novel in vivo methods taking advantage of the most recent developments in timeresolved fluorescence and absorption spectroscopies these will be combined with genetics and stateoftheart structural biology it is the integrative nature of photonics bridging different scales of complexity in a hypothesisdriven manner that will allow to finally resolve the critical missing pieces of psii function and damage finally it will provide a methodological blueprint for assessment of photoinhibition in situ and aid modelling of photosynthetic productivity under fluctuating conditions
beyond the average an examination of the specificity of intergenerational transmission of parenting

parenting practices such as discipline techniques and sensitive caregiving are vital to human development and they tend to be passed down the generational line currently we mainly know how intergenerational transmission of parenting works on average empirical studies on intergenerational transmission of parenting are often relatively small and homogeneous consequently we do not know which parenting dimensions are most likely to be echoed across generations nor do we understand under which conditions and in which developmental periods intergenerational transmission of parenting is stronger or weaker by using an individual participant data ipd metaanalysis the beyond the average bta project moves beyond average descriptions of intergenerational transmission of parenting as such the bta project has the following objectives 1 identify parenting dimensions that are more and less likely to be transmitted across generations 2 identify factors that account for the degree of intergenerational continuity and discontinuity in parenting 3 add a developmental perspective to models on intergenerational transmission of parenting and 4 implement stateoftheart ipd metaanalyses to examine individual differences in the field of developmental psychology this project will result in robust and detailed knowledge on intergenerational transmission of parenting thereby answering to the widely supported call to prioritize acrossstudyreplication and robustness checks moreover the knowledge obtained through this project will help tailor prevention efforts towards specific populations developmental periods and parenting dimensions
a novel 3d printer for largearea lightbased additive manufacturing with ultrahigh resolution combining digital light processing and twophoton polymerization

the processing of photosensitive materials upon the exposure of focused femtosecond laser radiation is referred to as twophoton polymerization a powerful lightbased additive manufacturing technique to fabricate 3d microstructures with ultrahigh resolution nonlinear phenomena convert photoresists or resins into the solid phase whereby the process area is confined to the laser focus in which a solid building block is created with a possible size down to sub100 nm in this way twophoton polymerization enables the direct writing of arbitrary 3d structures by guiding the laser focus through the material however the writing scheme of twophoton polymerization is highly timeconsuming thus the technique has been unsuitable for largearea manufacturing of realworld products so far this research aims to engineer a novel fully automated 3d printer that combines onephoton printing by digital light projection and twophoton polymerization in this way the novel 3d printer will allow using the 3d structuring capabilities of twophoton polymerization on a large area thus this project will enable the labtofab transfer of lightbased additive manufacturing with an ultrahigh resolution that will open new pathways to produce novel realworld devices especially for healthcare in this context biodegradable and biocompatible resins will be employed the efficiency of twophoton polymerization will be further enhanced by digital mask projection using a digital mirror device the same technique that is used for digital light processing in addition the printing process will be optimized using machine learningartificial intelligence a software will be developed to set the necessary printing settings the produced structures will be analyzed using scanning electron microscopy finally the novel 3d printer will be used to manufacture novel realworld devices for tissue engineering and labonchip applications that will be characterized and tested afterwards
understanding resilience of seed dispersal in insular systems to climate change

global biodiversity loss is disproportionately rapid on islands which despite being hotspots of biodiversity comprise 80 of worlds species extinctions the vulnerability of insular ecosystems to global change has been historically related to the introduction of invasive species yet we still lack a quantitative understanding of how other major threats such as climate change will jeopardise not only species but pivotal ecosystem functions derived from trophic interactions such as animalmediated seed dispersal to date the scarce data and methodological limitations have entailed a lack of studies on the effect of climate change on seed dispersal in entire island communities ecorisc implies a major step ahead previous work with its integration of a new global dataset on 65 insular seeddispersal networks alongside methodological approaches from the fields of interaction networks ecological niche modelling and future climate change projections the combination of empirical knowledge on the structure and vulnerability of current insular communities with future climate species extinctions and interaction rewiring simulations will provide an integrated understanding of the resilience of seed dispersal in insular systems to climate change the main outcome of ecorisc ie the quantification of structural and functional consequences derived from climatedriven biodiversity loss will provide essential knowledge needed to restore europes ecosystems and biodiversity one of the main issue mainstreamed in the first horizon europe strategic plan during the course of this project i will receive essential training by world leading experts of the fields of island ecology niche modelling and complex systems at three outstanding institutes from the disciplines of ecology and physics thus paving my way towards establishing an independent and distinct research profile in the fields of global change and community ecology
advanced traffic management solutions for synchronized and resilient multimodal transport services

the european transport faces major challenges in terms of traffic congestion safety greenhouse gas emissions and its derived costs in addition the development of disruptive technologies and emergence of new mobility solutions generate a revolution in transport network and traffic managementsynchromode aims to develop data driven ict tools for improving the management of transport operations from a multimodal perspective and managing the overall transport network as a whole synchromode will provide to transport managers new predictive and network optimization capabilities for balancing the transport supply and demand and capable of reacting to different types of events the project will research in transport network supply demand modelling simulation and prediction of future states optimization techniques for multimodal traffic optimisation standards for data collection and storage new governance models in transport management and new approaches for defining kpi for assessing the overall solutionsynchromode will deliver a suite of services for improving the overall transport network management fostering the coordination of different agents involved in the provision and control of the transport services the services are 1 transport networkwide data exchange and integration system 2 cooperative dashboard for realtime monitoring and prediction of networkwide multimodal transport and traffic 3 resilient multimodal transport network and traffic management support toolsynchromode system will test and validate its results in 3 real case studies thessaloniki gr netherlands and madrid sp with real data from various modes of transport under different traffic events such as bottlenecks accidents etc
anthropocene frontiers colonial climate science in siberia and central asia

the anthrofront project analyzes the relationship between climate science and colonial violence from the perspective of the russian empires siberian and central asian frontiers in the earlier nineteenth century scholars have shown how climate science developed on the scale of europes late overseas and land empires in the late nineteenth and twentieth centuries far less is known about the knowledge produced by earlier processes of conquest and the expropriation of indigenous land this project studies a cohort of balticgerman scientists dispatched to russian frontiers to understand how borderland encounters generated knowledge about climate change the first comprehensive study of colonial climate sciences in the russian empire this project develops a new framework for understanding interdisciplinary and intercultural exchanges of climate knowledge the project gives historical context to contemporary policy debates and provides a pedagogical model for teaching climate history in public schools research integrates german and estonian archives with digitized sources and focuses on three core themes 1 the role of instructions in organizing colonial travel 2 the dynamics of encounter between settler indigenous and expeditionary groups and 3 the circulation of knowledge from central europe to central asia and back the project will be carried out over twentyfour months in the department of history of science and ideas at uppsala university under the supervision of dr linda andersson burnett senior researcher in the history of colonial travel and indigeneity the fellowship is also enriched by collaboration with dr jennifer keating at university college dublin a leading environmental historian of imperial russia while advancing the msca green charter through public outreach the project will produce two research articles and a special journal issue based on an interdisciplinary conference laying the groundwork for a subsequent monograph
allergenicity prediction toolbox for novel foods

introduction of novel foods such as insects will strongly contribute to the security and sustainability of our food supply however these novels foods need to be safe eu regulation 20152283 allergenicity assessment is an essential part of the safety assessment of novel foods unfortunately current methods to assess de novo allergenicity lack predictive power and are not validated consequently food producers and risk assessors struggle with allergenicity assessment slowing down the introduction of novel foods in our food supply enabling the safe introduction of novel foods while protecting humans from unacceptable food allergy risks calls for a multidisciplinary approach the allpret consortium is a highly multidisciplinary group of experts from universities research institutes hospitals patient organisations and industry arising from the eu cost action imparas improved allergenicity risk assessment strategy this puts them in an ideal position to consolidate their previous collaboration and set up an innovative doctoral training network in this area the overall goal of allpret is to train the next generation of scientists who can tackle the shortcomings in the current food allergy assessment of novel food products allpret will train early stage researchers esrs in the core aspects of food allergy risk assessment immunology protein chemistry bioinformatics in vitroin vivoin silico model development and complementary soft skills to deliver well educated young scientists with a unique position within the eu labour market the esrs will explore the new field of research on de novo sensitisation by novel foods and develop a toolbox of in vitroin vivoin silico allergenicity prediction tools that are scientifically sound validated and easily usable by industry and food safety authorities this toolbox will contribute to fast and accurate safety assessment thereby speeding up safety approval and market uptake of novel foods
revealing environmental causes of preterm births in a quasiexperimental framework

preterm birth 37 weeks gestation is the leading cause of death in children under the age of 5 worldwide accounting for 900k neonatal deaths a year preterm birth rates vary widely within and between countries with environmental causes of yet unclear aetiology suspected to be the main drivers the main goal of tinytrend is to reveal the role of environmental risk factors and inform riskmitigation policies for preterm births by evaluating environmental policy changes in a quasiexperimental setting this interdisciplinary project will devise a robust and novel methodology through embedding data science and artificial intelligence within an epidemiology framework to 1 systematically identify policy changes targeting environmental factors 2 evaluate their role on preterm birth rates in time and space quasiexperimental framework 3 draw causal inferences integrating original and previous evidence on the impact of these environmental factors on preterm births the experienced researcher er will advance his skills in environmental science public health epidemiology and informatics through highcalibre external and inhouse training from the host institution tinytrend will leverage highquality populationwide administrative health data from lombardy italy including 1m pregnancies for the 20102023 period and generate a new fair dataset of policy changes for the first time the er will combine both data sources in an interrupted time series analysis with control series to generate robust evidence on new environmental causes and their critical time windows for preterm births tinytrend will present a best practice template for other italian regions to follow that is transferable to generate new insights into other diseases with a significant environmental component and elusive aetiology
artificial intelligence driven design of resorbable implants

in recent years the importance of biomedical implants has surged in addressing various medical conditions including bone fractures heart ailments and other healthcare challenges as healthcare complexities continue to escalate there is a growing demand for biodegradable implants pioneering research in medical science is driving the scientific community toward the latest generation of biomedical implants which closely mimic natural bone and tissues greatly enhancing their biocompatibility for instance temporary medical implants are now based on biodegradable metals like magnesium mg zinc zn and iron fe offering promising potential mg alloys in particular have a long and illustrious history especially in bonesupport applications their elastic modulus closely matches that of natural cortical bone thereby reducing the occurrence of stressshielding effects furthermore the bodys established pathways for excreting excess mg via urine make mgbased alloys ideal candidates for resorbable implants it is anticipated that mgbased implants will degrade within a suitable timeframe within the human bodyhowever there are challenges associated with metallic implants firstly achieving a uniform and predictable degradation rate of implant within the human body complete dissolution of the implant after fulfilling its function can provide substantial benefits to the patient by eliminating the risks and costs associated with secondary surgeries and complications such as hypersensitivity the second major challenge lies in using biologically safe lowalloyed magnesium which unfortunately results in high corrosion rates and the formation of hydrogen bubbles that can hinder the healing processto address these challenges we propose the development of a novel methodology for producing mgbased alloys suitable for biodegradable resorbable implant applications offering excellent performance
incentivizing citizen exposure to quality news online framework and tools

populism polarisation and wavering support for democratic norms are pressing threats to the eu newsuse seeks to explain and remedy these threats by bringing the problem of insufficient news consumption to the forefront rather than focusing on echo chambers misinformation or filter bubbles i argue that very low news use among citizens is a drastically overlooked problem which leads to voting misaligned with individual interests and susceptibility to manipulative populist and misinformed rhetoric brexit and the 2016 us election are key examples because greater news exposure can make citizens more resilient to the various democratic threats it is urgent to address the fundamental question how to sustainably incentivize the use of quality news toward this end newsuse advances a theoretically driven and applicable model that accounts for individual algorithmic and social factors influencing news nonuse and therefore also the approaches to promoting news intake building on this model newsuse designs validated computational tools to increase peoples consumption of quality news pinpoints whether it is the citizens social contexts andor recommender systems that need to be tweaked and tests the democratic effects of increased news use across political contexts and social media platforms newsuse relies on cuttingedge multidisciplinary methods combining quantitative and qualitative observational and overtime experimental designs and incorporating the latest advances in computer and computational social science the first project to apply these innovative approaches conjointly and comparatively newsuse advances academic knowledge and its findings will be crucial for scholars across disciplines nongovernmental organizations and policymakers working on algorithmic transparency it is only when we know how different factors together prevent or enhance news exposure will we be able to make citizens and democracies more resilient
twinning excellence on organic soil amendments effect on nutrient and contaminant dynamics in the subsurface

twinsubdyn aims to establish a research knowledge hub at unspmf serbia on the impacts of organic soil amendments osa on the fate of contaminant and nutrient dynamics in the soil subsurface and implications for groundwater quality the project will significantly boost research and innovation capacities of unspmf through a twinning action with internationallyleading research institutions in this research field from europe ie univie fzj mlu and irnascsic the strategy for stepping up and stimulating scientific excellence and innovation capacity for our twinsubdyn defined research topic is based on 1 networking for excellence through transfer of knowledge best practice and expertise during secondments between unspmf and the aforementioned research institutions 2 establishment of longlasting strategic partnerships with leading european research organisations 3 raising the eu and global research profile of unspmf and its staff through delivering lectures by experts shortterm onsite training organization of workshopsummer school and strengthening the research management and administration unit at unspmf 4 development of science and innovation strategy and key action planning in the twinsubdyn field for unspmf 5 spreading scientific knowledge through the available multiple dissemination channels and finally 6 increasing overall competence via the strategic collaborative consortium twinsubdyn research project and its intrinsic knowledge exchange and gains
single atoms immobilization on mxenemetalorganic polyhedra assemblies for selective reduction of co2 to formic acid

the eu has set a goal of achieving climate neutrality by 2050 and has implemented an ambitious plan to reduce greenhouse gas emissions including co2 the most ecofriendly solutions to tackle global energy and sustainability challenges are electrocatalytic ecr and photocatalytic pcr co2 reduction into valuable products among the co2 reduction products formic acid hcooh has diverse applications as a chemical feedstock hydrogen storage material methanol intermediate and fuel cell component despite advances in the field there are still unresolved challenges related to slow electron kinetics unfavourable product selectivity and high operating cost in this respect singleatom catalysts sacs have unique performance due to maximum atom efficiency unsaturated metal coordination and the confinement effect making them a promising solution however the efficiency and selectivity of sacs for ecr and pcr to hcooh are still experimentally scarce therefore tuning the electronic structure of sac through their immobilization on 2d nanosheets is crucial for designing new catalysts accordingly i plan to prepare novel nonnoble metal safunctionalized mxenemetalorganic polyhedral mop assemblies to replace the stateoftheart catalysts for efficient co2 reduction to hcooh samxenes can improve electron transport and co2 capture during ecr and pcr however selfstacking of samxene can limit electrolyte access and reduce active site utilization mop acts as a spacer to increase porosity and prevent restacking samxenemop with ligands coordinated sa center will act as a photocatalyst to ensure the successful implementation of project goals i will conduct research at iemn cnrs university of lille under dr boukherroubs guidance i expect the research findings will elicit noteworthy attention from academic laboratories across europe and worldwide this project will help me to enhance my academic profile and establish a research group