Dragon09/odtu_chatbot huggingface dataset:
the anaerobic treasure trunk

anaerob aims to generate a platform that enables linking of microbial ecology to biotechnology this platform should be general and applicable to a very wide range of conditions and applications anaerobic processes are performed by a wellstructured microbial community and have a great potential for upcycling organic wastes and industrialagricultural residual resources to achieve circular bioeconomy upcycling of residual resources through production of materials biochemicals and energy is a promising way towards a more sustainable production pure culture fermentations are not appropriate when wastes are the substrate and therefore mixed culture microbial consortia are required currently inocula for biological processes utilizing wastes as substrates are random selfestablished cultures comprehensive knowledge about the microbial interactions of the anaerobic microbiome is needed for valorization and remediation of biowastes the overall aim of anaerob is to understand how to create designer microbial consortia for specific bioengineering processes based on genetic information of anaerobic microorganisms the aim will be achieved by 1 elucidating the syntrophic mutualistic symbioses of the anaerobic microbiome and clarifying the role of specific compounds exchanged by microbes 2 developing models for prediction of desired pathways 3 developing methods for isolation of new unculturable anaerobes 4 developing a novel method for designing and establishing microbial cocktails for specific functions and 5 validating the concept of creating specific anaerobic consortia for upcycling gas streams of carbonintensive industries anaerob takes a multidisciplinary approach to use both engineering and microbiology to reach at the next level of understanding for exploitation of the anaerobic microbial treasure the projects successful completion will have major benefits in industrial sectors and environmental applications
graduate research on worldwide challenges

grow graduate research on worldwide challenges is an international phd programme that offers tomorrows leaders a unique opportunity to do high quality and novel research with supervision from globally renowned professors on pressing issues affecting the people of africa and make a real contribution to understanding and addressing worldwide problems research and innovation that is interdisciplinary international and intersectoral triplei stands a better chance of understanding wicked challenges and producing creative and effective solutions thus they can play a vital role in meeting the 2030 sustainable development goals currently the african continent has few rd staff compared to other regions with grow we invest in training scholars with an understanding of the continent while strengthening existing africa netherlands partnerships because academic and nonacademic stakeholders are involved from the start collective learning and cocreation makes for deeper understanding of the challenges and their tradeoffs more detailed specs earlier prototype testing more opportunities for validation and transforming academic research results into realworld developments as the science is complex and original it can also be captured in high quality scientific papers for grow 6 high ranking dutch universities have joined up with 22 african academic and 16 nonacademic partners so that 51 phd students from anywhere in the world can pursue scientifically challenging research that in some way links lmics in africa with europe the possibilities are manifold as fellowships are available in the natural sciences social sciences humanities and engineering the triplei design of the grow programme offers the phd students the chance to equip themselves with an advanced futureproof set of scientific and complementary skills that they will take with them as they pursue highflying careers in a world that is becoming ever more complex and interconnected
forecast of actionable radiation belt scenarios

forecast in space weather modeling mostly ignore the fact everything is driven by the sun that is basically unpredictable propagating observed solar dynamics to earth is questionable it depends on models whose boundary conditions we are incapable of constraining we are limited to data at l1 giving a one hour lead time and neural net type forecasts of controlling parameters eg kp that govern the physics of our best models nowcasts are better advanced data assimilation techniques with physics based models show great fidelity in reproducing the real radiation belt rb environment operational use of such nowcasts is limited by lack of high quality realtime data beyond geosthe farbes project is different it limits its ambition to simple achievable prediction goals that are of utility to satellite operators while avoiding the pitfalls of past projects we hold that while it may be impossible to accurately predict the break of a space weather event once an event has started we have the tools to predict subsequent behavior and to update our predictions during the event while we may not be able to globally predict in detail the subsequent dynamic behavior we can provide actionable forecasts for satellite operators on a few key event characteristicsa time to most severe environmentb most severe flux reachedc time to the end of eventthese characteristics were deemed most useful by spacecraft operator representatives at esww16 httpwwwstcebeesww13contributionspublics5o1s5o103pitchforddaveforecastingtheperfectstormppt we overcome the dataassimilation nowcast limitations by using physics based models driven by simple affordable and reliable groundbased realtime inputs only we overcome our inability to accurately forecast magnetospheric drivers by using a scenariodriven forecast approach for rb dynamics starting with nowcast and is constantly refined during an event by the ongoing availability of realtime model inputs
forecasting global change impacts on ecosystems using a unified plant functional spectrum

functional traits of organisms determine their responses to the environment disturbances biotic interactions but also their effects on ecosystem processes therefore traitbased approaches can potentially advance our understanding of complex ecological questions however straightforward approaches for accurate predictions of community composition and ecosystem functioning from traits are not yet available studies have considered different traits which hampers synthesis and analytical tools have been limited traitbased predictions need a holistic approach incorporating all aspects of the functional structure of plant communities within a unified plant functional space upfs that considers the independent information provided by above and belowground traits plectrum takes advantage of the upfs and provides solutions for three of the most intractable problems for traitbased ecology i the dimensionality of functional variation across ecosystems ii predicting functional structure from environmental variables and iii using this knowledge to forecast the effects of global change on functional structure ecosystem functioning and species extinction risk i will combine the information from massive datasets of vegetation plots and plant traits with the first global standardized sampling of key above and belowground traits i will use this data to quantify functional dimensionality across ecosystems and estimate the position of thousands of species in the upfs then i will use species distributions in the upfs analogous to images and apply deep learning methods to link the functional structure of communities to ecosystem functioning and environmental change the methodological toolbox developed in the project combined with the synergy of aboveground and root traits will allow us to forecast the effects of different global change scenarios on plant communities and their functioning across scales
multimodal characterization of the subcortical involvement in focal epilepsy

focal epilepsy is a chronic neurological disorder characterized by repeated spontaneous seizures that originate from one or several confined regions after onset these seizures often propagate towards networks of regions spread across the brain negatively affecting wholebrain dynamics and cognitive functioning in these patients despite evidence advocating the involvement of subcortical areas in seizure organisation in some patients the exact mechanisms are still poorly understood therefore i anticipate that multimodal high resolution characterization of the subcortex using 7 tesla mri data provides an important missing link to enhance our understanding of changes within and differences between focal epilepsy patients i will explore this in three aims that focus on network integrity tissue integrity and disease heterogeneity successful completion of the objectives is maximized by a twoway transfer of knowledge by combining my proficiency in quantitative brain mapping and computational neuroimaging with the hosts expertise related to brain network analyses in epilepsy together these techniques provide a platform for subcortical characterization to enhance epilepsy differentiation succeed and will advance the development of noninvasive subcortical biomarkers towards personalized diagnosis and treatment of focal epilepsy results will be communicated to the scientific and nonscientific public through scientific publications conference presentations via twitter workshops and open days with the host lab situated at the forefront of epilepsy research it will provide the ideal environment to improve my scientific network and receive the relevant technical and personal training together with the innovative and interdisciplinary nature of the project this will give me the unique opportunity to mature further towards an independent researcher both during and after the fellowship
enhancing material circularity and lower emissions of ship building processes in all phases of the life cycle

the market conditions and the regulatory framework for the shipping industry and shipyards are changing profoundly in response shipyards need to build up the capacity to assess the environmental footprint of their yardactivities and the ship to inform their stakeholders in a transparent understandable comprehensive and trustworthy way while the environmental footprint of the operational phase of a ship can be covered sufficiently by existing standards the nonoperational footprint of the shipyard processes and the integrated materials and components remain a black box it is the ambition of this project to drastically change the asis situation and to make the impact measurable and thereby drive progress toward circular zero impact shipping over the full circle of life of a ship therefore circlesoflife will develop test and validate a general methodology and framework applicable to all european shipyards enabling to close the gaps in assessing the environmental performance of the shipyards and the ships they design build maintain retrofit or recycle circlesoflife will go beyond state of the art by defining a scientifically sound sepimethodology and cradle2cradle ship passport and will test and validate its applicability in daytoday business of shipyards and suppliers in several usecases ranging from new building to repairand maintenance to recycling yards moreover circlesoflife follows a clear pathway towards market introduction and societal impact supported by surfrider and shipbreaking platform as independent and trustworthy ngos based on the described measures circlesoflife pursues to offer a widely accepted standard enabling shipyards maritime equipment manufacturers shipping companies finance institutions and other stakeholders to compare the environmental footprint of ships and shipyards
federated and distributed inference leveraging sensing and communication in the computing continuum

the integration of sensing and communication is attracting a fervent research activity and will result in a myriad of contextual data that if properly processed may enable a better understanding of local and global phenomena while increasing the quality security and efficiency of our ecosystems the computing continuum offers a timely and unique solution for processing such a massive volume of sensed data as it provides virtually unlimited and widely distributed computing resources nevertheless the deployment of data analysis at the edge or in the cloud has many implications regarding latency privacy security and data integrity as we learn how to sense ubiquitously and we build a tool able to handle the sensed data the greatest challenge is to understand how and where to process them the purpose of this project is the development of a pioneering framework to guide the design of federated and distributed inference systems leveraging sensing and communication and harnessing the computing continuum the framework will build on i the definition of statistical and mathematical models for the sensed data which capture the complex and interrelated phenomena underpinning sensing and communication systems with different levels of integration ii the development of cloudnative inference algorithms mainly distributed and parallelized with scalable complexity that can be adapted to dynamic performance requirements iii the design of orchestration strategies to guide the flexible deployment of the inference process at the edge and in the cloud with a dynamic allocation of the computing resources the aim is to overcome the paradigmatic accuracycomplexity tradeoff that has driven distributed inference for decades leading to a paradigm shift that encompasses multilevel performance indicators beyond accuracy including latency integrity privacy and security aspects and how these impact the confidence on the inferred phenomena
cams evolution

monitoring the composition of the atmosphere is a key objective of the european unions flagship space programme copernicus with the copernicus atmosphere monitoring service cams providing free and continuous data and information on atmospheric composition the cams service evolution cameo project will enhance the quality and efficiency of the cams service and help cams to better respond to policy needs such as air pollutant and greenhouse gases monitoring the fulfilment of sustainable development goals and sustainable and clean energy cameo will help prepare cams for the uptake of forthcoming satellite data including sentinel4 5 and 3mi and advance the aerosol and trace gas data assimilation methods and inversion capacity of the global and regional cams production systems cameo will develop methods to provide uncertainty information for users of cams emissions policy solar radiation and deposition products in response to prominent requests from current cams users cameo will contribute to the medium to longterm evolution of the cams production systems and products the transfer of developments from cameo into subsequent improvements of cams operational service elements is a main driver for the project and is the main pathway to impact for cameo the cameo consortium led by ecmwf the entity entrusted to operate cams includes several cams partners thus allowing cameo developments to be carried out directly within the cams production systems and facilitating the transition of cameo results to future upgrades of the cams service this will maximise the impact and outcomes of cameo as it can make full use of the existing cams infrastructure for data sharing data delivery and communication thus supporting policymakers business and citizens with enhanced atmospheric environmental information
the implementation of predictive coding across the auditory hierarchy

posing the brain as a predictive system has become a guiding principle that has proven to be particularly fruitful in the study of perceptual processes perception is understood as an inferential process in which the brain combines its noisy sensory input with predictions generated by internal models in this way the contents of conscious experience would be determined by the hypothesis about the state of the world with the highest posterior probability one popular algorithmic incarnation of the predictive processing ideas is predictive coding in which the brain implements a hierarchy of generative models where feedback connections carry predictions and feedforward connections carry prediction errors the brain would minimize these prediction error by updating its internal models while compelling this proposal leaves open several issuesit is not yet clear how a predictive perceptual system could be both sensitive to expected and to surprising stimuli bayesian integration of sensory evidence and prior probability of the hypotheses predictions might offer an optimal solution but some authors have argued that bayesian integration would result in a bias toward the expected therefore the question of how conscious experience emanates from the interaction between predictions and prediction errors remains openpredictive coding assumes separate neuronal populations representing predictions and prediction errors which would reside in different cortical layers this proposal remains largely untested in humans in particular in the auditory domainthis project focuses on the auditory domain where the ability to predict the incoming sensory stream is fundamental for making sense of everyday auditory scenes especially in the presence of noise i will tackle the aforementioned open questions by implementing challenging auditory signal detection tasks and by combining fmri data at ultrahigh field 7 tesla and cuttingedge computational modelling
advanced plasma chemical engineering for gas conversion

our society is entering a new era of industrial process electrification requiring to reduce the overuse of natural resources and to decrease the co2 footprint in this regard plasma technology is considered a key technology in many industrial applications especially in the chemical sector due to its unique properties among other benefits the selectivity of plasmainitiated processes stands out as one of the primary advantages of plasma especially at low pressure however the chemistry driven by plasma at atmospheric pressure conditions in molecular gases is diverse and significantly less selective due to different energy transfer processesthe tailchem project intends to provide a paradigm shift for the control of plasmainduced chemistry and uncover the fundamental insights responsible for adjusting it toward higher selectivity of chemical processes at high pressures the idea is based on tailoring the applied voltage waveform resulting in a reduced electric field strength development which drives the electron excitation mechanisms for a dedicated and selective plasmadriven gas conversion the project will be conducted within the context of the highly demanding field of nitrogen fixation process electrification here the selective generation of reactive nitrogen species particularly vibrationally excited n2 in its ground state plays a crucial role in achieving energyefficient process performanceto achieve this goal advanced plasma diagnostic techniques will be applied to reveal the plasma fundamentals and the electroninitiated gasphase chemical kinetics simultaneously a unique combination of advanced experimental techniques and chemical modeling will aim to define the effect of voltage waveform tailoring on eedf chemistry and the selectivity of induced processes thus providing a quantitative characterization of the suggested strategy for the first time
the jewish library in late antiquity forgotten texts and nonrabbinic jews

in the study of ancient judaism a debate has been raging over the place of the rabbinic movement in late antique jewish society on the one hand there is the extensive body of rabbinic literature which has much to say about the rabbis own world and relatively little to say about nonrabbinic jews thus creating the impression that the rabbis were the only significant social factor in late antique jewish society on the other hand there is an impressive and constantly growing body of archaeological evidence and especially the synagogues of late antique palestine and their elaborate mosaics which seems to imply that the rabbis had relatively little impact on the religious and artistic sensitivities of many jewish communities this apparent gap between the literary and the archaeological evidence generated an enormous body of scholarly literature with some scholars arguing that rabbinic judaism was normative in late antique jewish society and other scholars claiming that the rabbis were just a small minority and that most jews did not pay much attention to what the rabbis thought or saidrather than joining this debate jlib will offer a different perspective from which to examine ancient jewish culture by reconstructing many nonrabbinic texts from the jewish library of late antiquity some of these texts were found in archaeological excavations but most are found in the cairo genizah and in other collections of medieval hebrew manuscripts their late antique origins are demonstrated by their use of aramaic mostly jewish palestinian aramaic by their contents and by external evidence of their use in late antique jewish society jlib will offer an edition of these hitherto neglected texts an analysis of their relations with similar nonjewish texts and with rabbinic literature and a reevaluation of the complex question of the place of rabbinic judaism in late antique jewish society
the molecular suite of shell bio archaeochromes

molluscs adorn their shells with an incredible diversity of colours and patterns which were highly appreciated since ancient times shell biochromes encode important biological information they may play a role in immunity shell strengthening protection from thermal stress and uv radiation they are also extremely durable in time pigments can be found in fossil shells dating to millions of years could shell biochromes be among the most promising ancient biomolecules despite the great diversity and complexity of shell colours there is no complete molecular understanding of shell pigmentation in any mollusc system the studies are limited and our knowledge how biochromes are mineralised not to mention how they preserve remains patchy bach will carry out an indepth study of mollusc shell biochromes the work will focus on a model species littorina fabalis which displays colour polymorphism and are abundantly found in archaeological record since they were used in prehistory i will employ cuttingedge shellomic techniques transcriptomics and proteomics coupled with the first application of crisprcas9 gene editing tool to elucidate the chemical nature of shell biochromes and associated proteins gene editing will help to verify genes that are involved in shell coloration and biomineralisation the research and training will provide me with a novel set of skills reinforcing my position as an expert shell research finally i will use palaeoproteomics the analysis of ancient proteins by mass spectrometry techniques to investigate the preservation potential of ancient biochromes ie archaeochromes in the future we could use these as biomolecular colour markers to answer archaeological questions bach will address decades long query what are the shell pigments and what biological information do they encode my unique expertise multidisciplinary network international background and expert team on board will guide me to answer these questions