Dragon09/odtu_chatbot huggingface dataset:
the hidden majority highresolution imaging and genomics of the most ecologically important microbial eukaryotes in the ocean

how have eukaryotes evolved into the vast diversity we see nowadays at present this simple question remains a mystery mostly due to the vast uncharted microbial environmental diversity recurrently unveiled by molecular surveys this gap in knowledge hinders a deep understanding of basic eukaryotic diversity evolution and biology and creates a biased perception towards wellcharacterized organisms of human interest yet since the beginning of microbial research from leeuwenhoek and haeckel unicellular eukaryotes have been largely studied by optical methods describing an extensive variety of shapes and morphologies we therefore need new and different approaches to explore unknown eukaryote diversitythe goal of this project is to better understand early and enigmatic eukaryotic evolution by studying the morphology and genomes of the most informative undescribed eukaryotic lineages studies of novel eukaryotic diversity have historically relied on arbitrary factors regardless of their environmental abundance due to the lack of data yet abundant groups are the most practical to explore i will first identify the most environmentally abundant species that are distantly related to morphologically described groups next i will develop a novel approach that allows the acquisition of 3d morphological data by imaging groupspecific fluorescence in situ hybridization probes in combination with a set of fluorescent dyes labeling relevant subcellular features finally i will sequence and assemble their genomes to better resolve the eukaryotic tree of life by filling out poorly represented lineages that are distantly related to wellcharacterized species this project will bring for the first time the link between already available environmental short sequences and their organismal morphology and genomic data
twinning action for spreading excellence in artificial intelligence of things

aiotwin is a twinning coordination action for spreading excellence in artificial intelligence of things bringing together researchers from three european universities unizgfer tuw and tub and one research institute rise the goal is to significantly strengthen the scientific excellence and innovation capacity of unizgfer in the area of the internet of things through knowledge transfer and strategic networking activities between unizgfer researchers and worldclass scientists from leading eu institutions this will be achieved through an elaborate work plan and a comprehensive set of activities that will increase the mobility of researchers and improve the scientific and innovative capacities as well as the attractiveness and visibility of unizgfer in the european research area aiotwin identifies four research domains relevant to aiot 1 edge computing and orchestration 2 federated and decentralised machine learning 3 ai for robust and energyefficient iot and 4 distributed ledger technology dlt for iot which align well with current research directions leading to the new evolutionary phase of nextgeneration iot the knowledge gained through the networking activities in the rds will be the driving force for conducting a joint research project on datadriven orchestration middleware for energyefficient iot supporting ml workflows the middleware will be tested on a selected use case using the consortiums shared infrastructure in addition the project will strengthen the research management and administrative skills of unizgfer staff aiotwin provides a unique opportunity for unizgfer researchers to work closely with leading international researchers to develop new ideas foster creativity and strengthen the impact of all participating partners on an international level it will contribute to strategically reduce disparities between croatia and other eu member states participating in the horizon europe programme
nanostructures and nanoelectromechanical devices for precise control of topological defectsmatter in superfluid helium

since richard feynmans famous talk there is plenty of room at the bottom in 1959 the following decades saw the booming of nanotechnology one of the fields in which nanotechnology can never be ignored is the development of scientific instruments scientific instruments based on nanotechnology have revolutionized many research fields however using current instruments to study superfluid he is still challenging especially for the topological defects tds and topological matter tm because the scale of the coherence length of the interesting objects in 3he is just tens of nanometers the n2pcon nanostructures and nanoelectromechanical devices for precise control of topological defectsmatter in superfluid he project will offer a nanotechnology solution to precisely control and study tds and tm in this action i will work in the otanano finnish national infrastructure for nanoscience and nanotechnology at aalto university with the supervision of dr sami franssila department of chemistry and materials science and dr vladimir eltsov department of applied physics at the same time i will also work with my secondment institutes royal holloway university of london uk and lancaster university uk to boost this action the action will produce nanoscale instruments nems nanostructures that surpass the current stateoftheart devices in both performance and dimension to reach the quantum world of tds and tm n2pcon is expected to provide new tools for superfluid research and also add general knowledge to memsnems and cosmology in the long term it will boost the memsnems research and industry in the eu
soft organic electrochemical neurons for biochemical sensing and delivery

recent advancements in prosthetics braincomputer interfaces and neural therapy require electronics that communicate with biological systems however electronic circuits manipulate 10 binary digits whereas biological neurons function with ion fluxinduced neural spikes to emulate biological neuron functions in hardware implementations artificial neurons have been developed using inorganic memristors or transistors but they have failed to integrate with biotic neurons due to their high operating voltage and inherent inertness towards ionneurotransmitterbased modulation in this regard organic electrochemical transistors oects distinguish themselves by using ionic species to mediate electronhole conductance in organic semiconductors making them the ideal candidate for fabricating organic electrochemical neurons oecns with high biocompatibility and biochemicalmediated functionalities so far oecns have been demonstrated by the project host prof simone fabiano at linköping university with the capability to emulate biorealistic spiking patterns response to exogenous ions or neurotransmitters for spiking modality alternation and perform eventbased neuron stimulation in animal models however existing oecns still face two major limitations that impede their integration with biological nerves including their rigidity and incapable of performing endogenous biochemical sensing and modulation with biotic neurons to exploit the advantages of oecns for biointegration and bidirectional communication i will use my expertise in soft materials devices and systems to devise oecns with tissuelike softness monolithic assembly and seamless integration with biological nerves specifically stretchable organic semiconductors and other soft constituent materials will be synthesized and prepared soft oects and oecns that operate stably under mechanical deformation will be devised soft biochemical sensing and delivery functions will be incorporated
exploring the effect of seedlings drought vulnerability on treeline dynamics under climatic change using quantitative wood anatomy

global warming has modified the distribution of some forests growing at their altitudinal limit treelines some have been advancing leading to loss of alpine biodiversity and changes in surface reflectance of mountain and polar areas others remained stable leaving a lag between the position of uppermost tree stands and the treeline isotherm ti common seasonal mean temperature indicative for potential treeline position despite these striking worldwide patterns there is a lack of systematic observation to understand the drivers of differential treeline response to global warming the extent of the treeline lag behind warming may be associated with seedlings survival however as temperature is considered the main factor responsible for treeline the role of seedling drought sensitivity as driver of differential treeline response to global warming is poorly understood certain xylem anatomical traits xa such as conduits wall thicknessarea ratio conduits area and layers pits and parenchyma area may confer drought adaptations ultimately affecting survival and growth under increasing warming conditions the proposed research will help understand the drivers of differential treeline response to global warming i will analyse the effect of xa on the distance of the uppermost tree stands to ti in representative european treeline tree species we will determine the treelines lag across several regions i will quantify xa and their plasticity and correlate them with treeline position my contribution to achieve the project objectives relies on quantitative wood anatomy experience for studying drought adaptations in tree species and examining patterns between drought resistance and anatomical variation this project brings me experience abroad to get a permanent position at a highquality research institution with a highlife quality focusing on independent research on wood anatomical influence on plant function under stressful environments
lifehistory genes in fishes bridging functional and evolutionary genetics for understanding lifehistory trait evolution

life history is one of the most central concepts in biology numerous biological questions ultimately revolve around the causes and consequences of variation in reproduction and survival ie fitness tremendous effort has been put in establishing the causes and mechanisms for life history trait variation and tradeoffs but even in well studied model organisms evolutionary genetic and functional genomic approaches are rarely combined and thus the path from genotype to phenotype often remains a black box a strategy to overcome this major hurdle has recently emerged with the discovery of loci that explain exceptionally large proportions of the variation in various life history traits these lifehistory genes offer new opportunities to study not just the why evolution but also the how functional genetics of life history trait variation i will address critical outstanding questions by bridging functional and evolutionary genetics approaches to study multiple loci linked with lifehistory traits including age at maturity migration timing and migration strategy in 3 fish species atlantic salmon rainbow troutsteelhead and atlantic cod the relatively simple genetic architecture of the traits combined with the features of these species as model systems offer a unique opportunity to finally reveal the genetic architectures molecular mechanisms and ecological drivers that translate largeeffect genotypes into adapted life history phenotypes and examine how evolution shapes these processes in fishlegs i will i characterize the molecular functions behind genotypelife history associations ii elucidate life history trait reaction norms and evolution in variable environments and iii determine the strength of natural and sexual selection on life history traits their sex specific effects and model the evolutionary consequences life history research also has societal relevance for health sustainable fisheries conservation and climate resilience
realityconnected machine simulation of heavy machinery

the realsim project proposal aims to connect machine simulation to reality in the framework of heavy machinery which is an interdisciplinary application the results of this project are expected to optimize machine performance accurately and reliably predict machine failure and reduce overall development and operation costs thus serving the europes priority of green transformation and the united nations sustainable development goal 9 the realsim project will close the gaps of 1 onboard estimations of force and pressure components of heavy machinery 2 estimating deformability cylinder friction leakage and valve dynamics of heavy machinery using independent nonlinear kalman filters 3 employing dependent nonlinear kalman filters in state estimators of heavy machinery 4 tuning algorithms for the covariance matrix of plant noise in the state estimation of heavy machinery i will consolidate and leverage my research career and position as a leading researcher in the field through integration in assoc prof mohammad poursinas group at the department of engineering sciences of the university of agder uia norway here i will acquire handson experience of working with actual mechatronic systems and develop efficient control algorithms i will improve my knowledge of fluid power designing control theory instrumentation and develop efficient coding skills i will also develop entrepreneurial skills the skills knowledge and international network that i will develop during this fellowship will put me in an excellent position to achieve my longterm goal of becoming a professor with my own independent research group at an esteemed university in eu this fellowship will help me to prepare a strong erc starting grant application in the future it will also cater my additional goal of settingup a researchrelated startup in the future
optimization of radio detectors of ultrahighenergy neutrinos through deep learning and differential programming

detection of neutrinos at ultrahigh energies uhe e 1017ev would be one of the most important breakthroughs in astroparticle physics in the 21st century and would open a new window to the most violent phenomena in our universe radio detection remains the only viable technique at these energies however owing to the expected small flux of uhe neutrinos the detection rate will be small with just a handful of events per year even for large future facilities like the icecubegen2 neutrino observatory at the south pole in this project i will enhance the science capabilities of uhe neutrino detectors substantially by increasing the detection rate of neutrinos and improving the quality of each detected event using recent advances in deep learning and differential programming i will replace the thresholdbased trigger foreseen for future detectors with neural networks increasing the detection rate of uhe neutrinos by a factor of two at negligible additional hardware costs i will perform an endtoend optimization using differential programming and deep learning to improve the determination of the neutrino direction and energymy previous work on developing stateoftheart mc simulation codes my experience in data analysis designing reconstruction algorithms and deep learning and my leadership role in icecubegen2 will enable this erc projectthe timing of this project is perfect for influencing icecubegen2 the largest facility for astroparticle physics with neutrinos for the next decade whose construction is planned to start in 2027 with this erc project icecubegen2 will be able to expedite the discovery of uhe neutrino fluxes by up to a factor of five see sources from deeper in our universe increasing the observable volume by a factor of three and measure the neutrinonucleon crosssection at eev energies with 3x smaller uncertainty hence nuradioopt will substantially increase the capabilities of future observatories for uhe neutrinos
charles university programme for sustainable goals training openness and novelty in research

charleston stands for charles university programme for sustainable goals training openness and novelty in research its a unique opportunity inviting 20 exceptional postdoctoral researchers from any nationality provided they meet the msca mobility condition and have a doctoral degree with up to eight years of research experiencecentral to the programme are three key objectives fostering progress towards the united nations sustainable development goals sdgs enhancing support for postdoctoral career advancement and offering fellows enriching intersectoral experiences charleston stands out for its meritbased selection process overseen by independent evaluators in line with charles universitys commitment to equal opportunitiesas a monobeneficiary project charles university not only administers but also directly benefits from this programme hosting research across its 21 diverse faculties and departments the heart of charleston lies in its robust 24month fellowship at charles university supplemented by a mandatory three to six months of practical experience in nonacademic settings this structure is deliberately designed to stimulate curiositydriven research across various scientific fields closely tied to the sdgsmore than just a funding mechanism charleston is a holistic journey in postdoctoral career involving a network of partners for hosting training and broad dissemination of research findings it also provides its fellows with competitive remuneration including mobility and family allowances underscoring its dedication to supporting researchers both professionally and personally
a datadriven framework towards sustainable reuse of decommissioned petroleum platforms as support structures for wind energy production

seeking offshore green energy sources with the lowest possible cost and carbon footprint while avoiding any additional oceanic waste is currently a major challenge scientists have been warning about the increase in the number of decommissioned platforms and their potential negative impact on the environment on the other hand the transition from fossil to green energy has become a necessity if we are to reduce the consequences of climate change this means that more petroleum platforms will be decommissioned in the near future dep2wind is an innovative project that deals with these important problems by proposing a mapping framework for the reuse of decommissioned platforms as support structures for wind turbines the project will address the safety and maintenance of these steel structures and how to save on the excessive installation costs of wind turbines the project will take a novel interdisciplinary and mixed reliability optimisation and datadriven approach based on an assessment of the state of the decommissioned platforms as regards corrosion and fatigue the optimum maintenance and repair actions and a suitable design for wind turbines different outcomes will be investigated using quantitative and qualitative techniques the fellow will benefit from the expertise of the structural engineering research group at the department of civil engineering and energy technology at oslo metropolitan university norway building on the fellows previous work and skills in both structural engineering machine learningbased modelling and reliability research the project activities will further develop the fellows professional and academic maturity furthermore the results will have a key impact on the advancement of multiple academic disciplines contribute to the eus green deal and un policies and help to meet the un sustainable development goals by providing affordable and clean energy and improving the quality of marine life
european communities of facilitators focused on cocreation training networking and handson learning

expert facilitators lead and guide cocreation processes among stakeholders enhancing creativity and mutual understanding and ensuring effective outcomes to excel in their work facilitators need a diverse set of skills incl technical expertise and soft skills like conflict resolution and active listening keeping up with the latest cocreation trendspractices incl the incorporation of ssh aspects can be challenging although there are many initiatives offering resources to upgrade cocreation skills they are frequently fragmented and scattered through hundreds of platforms and websiteseufficient will create a dedicated platform and methodology to provide facilitators with personalized access to bestinclass cocreation resources as well as training and networking opportunities the platform will allow users to selfassess their training needs in cocreation before they access a customised training program comprising easytodigest audiovisual material online and f2f events upon completion of the training modules expert facilitators will receive a certification of completion aligned with ecs vision for lifelong learning and microcredentialsthe project will pilot four communities of expert facilitators cefs advanced manufacturing healthtech mobility and aidigital facilitating crossfertilization and crosscomparison eufficient targets over 2000 facilitators through the four cefs with at least 500 actively participating in training an activity coordinated by uiin network the eu leader in universityindustry trainingthe partnership brings representatives from academia incl 6 heis industry and the public sector as well as dedicated experts on cocreation training community building online platform development and policy briefing the highly complementary consortium is formed by partners from many different backgrounds and geographies incl widening and associated countries enabling an agile kickstart of the piloting
comparison and rigidity for scalar curvature

questions involving the scalar curvature bridge many areas inside mathematics including geometric analysis differential geometry and algebraic topology and they are naturally related to the mathematical description of general relativity there are two main flavours of methods to probe the geometry of scalar curvature one goes back to lichnerowicz and uses various versions of index theory for the dirac equation on spinors the other is broadly based on minimal hypersurfaces and was initiated by schoen and yau on both types of methods there has been tremendous progress over recent years sparked by novel quantitative comparison and rigidity questions due to gromov and by ongoing attempts to arrive at a deeper geometric understanding of lower scalar curvature bounds in this proposal we view established landmark results such as the nonexistence of positive scalar curvature on the torus together with the more recent quantitative problems from a conceptually unified standpoint where a comparison principle for scalar and mean curvature along maps between riemannian manifolds plays the central roleguided by this point of view we aim to develop fundamentally new tools to study scalar curvature that bridge longstanding gaps in between the existing techniques this includes a farreaching generalization of the dirac operator approach expanding upon techniques pioneered by the pi and novel applications of bochnertype methods we will also study analogous comparison problems on domains with singular boundary motivated by a first synthetic characterization of lower scalar curvature bounds in terms of polyhedral domains and by the general quest for extending the study of scalar curvature beyond smooth manifolds at the same time we will treat subtle almost rigidity questions corresponding to the rigidity aspect of our comparison principle