Dragon09/odtu_chatbot huggingface dataset:
recharge and evapotranspiration characterizations through holistic assessment for responsible groundwater management

mediterranean analogue environments across the world have seen increased frequencies of droughts with repercussions such as reduced availability of soil water for the vegetation this situation forces plants to shift from soil water to groundwater for photosynthesis climatic adaptation plans have shown that sustainable management of groundwater resources cannot ignore areas with vegetation groundwater uptake and needs to account for the quantification of recharge to the groundwater and evapotranspiration which are linked through processes happening in the critical zonedr simone gelsinari was inspired by the approach adopted for managing water resources by australian regulatory agencies and formulated the project recharge and evapotranspiration characterizations through holistic assessment for responsible groundwater manaement recharge with a core field observational part to be performed at the university of florence and a secondment at the cnr for the modeling component and the possibility to interact with policymakers recharge will promote the recognition of vegetation adaptation characteristics to nonstationary climates and the need for regulators to account for these characteristics in climate adaptation plansrecharge will be the continuation of the fellows interdisciplinary background given the mixed experience in modelling and field data instrumentation and collection that he maturated in the last 6 years spent in a semiarid mediterranean environment since both phd and postdoc were based in mediterraneanlike climatic areas in australia recharge will be the opportunity to bring back and apply to the eu his experience developed through extensive exposure to australian climate adaptation approaches the fellows goal is to be positioned at the interface of the field and modelling communities within the broad area of hydrology and climate sciences and he maximizes both experiences at the host and secondment institutions to reach this goal
using cosmic rays for better more portable and efficient analysis and detection for customs

the number of goods and parcels shipped is growing with unstoppable speed with more individual shipments the means of logistics have changed from central locations to small logistics companies postal agencies airports ports private vehicles etc however the analysis and detection capabilities of such locations are very low making it an easy target for transporting illicit goodscurrently there are no effective technologies available that would be able to cope with this growing problem despite the widespread use of xray technologies they are still inefficient when it comes to mobile scenarios in addition their detection capability is based solely on visual imaging with no way to examine the exact material content of small shipmentswe are proposing a completely novel yet highly effective solution for this the cosmoport project will develop the next generation of scanner systems using atmospheric ray tomography art such systems are equipped with advanced machine learningbased risk assessment tool as muon tomography itself is a technique already in use then we will develop the first mobile solution combined with aiml tools to enhance material and object classification for the first time ever
demonstrating value of agri data sharing for boosting data economy in agriculture

agriculture is being managed more tightly than ever before and is generating more data than ever before but the potential of a data economy in agriculture remains unexplored the reasons for this are varied and include technical interoperability business relationships between stakeholders and social acceptability issues around data ownership and market transparencyindividual stakeholders make use of the data they generate at their own particular stage in the agrifood supply chain however the sharing of this data with others along the chain and its collective analysis needs more development and demonstration if more efficiencies are to be introduced and further value added to the agridata economy while some sharing is taking place on an adhoc basis each new set of potential data sharers must start from scratch and work through the same issues common to all such arrangements equally the lack of data sharing precedents in agriculture inhibits data owners from taking a more exploratory view of the worldseveral dimensions must be considered in policymaking if a fully functioning data economy in the agriculture domain is to emerge such a multidisciplinary approach is at the core of the divine consortium which encompasses technical agriculture and ict markets and social sciences expertise it will build an agridata ecosystem that incorporates existing common agri data spaces while deploying industryled pilots built on data sharing arrangements to demonstrate the costbenefit and added value in sharing agri data divine will assess its ecosystem at the level of policy impacts the uptake of digital technologies and economic and environmental performancedivine will promote its ecosystem and its assessments to technology providers policymakers farm representatives and various other agridata stakeholders it will take the first real concrete steps towards mature data markets in european and global agriculture
serviceoriented 6g network architecture for distributed intelligent and sustainable cloudnative communication systems

servicebased architecture in the 5g core network disaggregated ran and network slicing are a few of the 5g networks innovative paradigms there are however new requirements for 6g such as the efficient use of integrated cloud resources endtoend network programmability and the dynamic integration of multiple connectivity domains to realize intelligent connectivity across increasingly pervasive cloud environments the 6gcloud project will research develop and validate key technologies to realize an artificial intelligence ainative and cloudfriendly system architecture atop the cloud continuum it will integrate cloud resources offered by multiple stakeholders and allow network functions from different 6g network segments to be composed flexibly and dynamically based on service needs in hybrid cloud environments 6gcloud will address the following key topics i designing a holistic ainative serviceoriented 6g system architecture atop a cloud continuum
meritocracy and literature transcultural approaches to hegemonic forms

merlit is the first systematic diachronic and comparative investigation of meritocratic narratives in literature meritocratic thinking manifests itself in powerful narratives across the globe from the constitutionally embedded pursuit of happiness to neoliberal narratives of selfenhancement merlit investigates forms of these narratives which are embraced for their seemingly empowering and universalist appeal but also criticised for their enmeshment with structures of domination and privilege merlit explores how meritocratic narratives are written how they are written into cultures but also how they are written back to in text forms that have shaped the zeitgeist of particular moments respectively although research into meritocratic thinking is a vibrant interdisciplinary field it is characterised 1 by a lack of investigations into the formal principles underpinning or challenging meritocratic articulations 2 by a narrow focus on white western contexts and 3 by a concentration on recent developments to counter these gaps 1 merlit explores in six work packages how practices of writing have played and continue to play crucial roles in shaping meritocratic articulations but also critiques thereof 2 merlit expands the contextual focus of existing scholarship by engaging with radical writing practices from the global south and a range of transculturally entangled anglophone contexts eventually 3 merlit challenges perceptions of meritocratic thinking and its critiques as recent phenomena by engaging with changing forms of articulating value merit and success from the 17th century to the present situated at the intersections of literary history new formalist theory and cultural translation merlit not only offers a literary history of meritocratic thought but significantly advances our understanding of the workings of a set of hegemonic forms in and through writing and of the formative worldmaking role of literature
automating quantum control with machine learning

quantum computing will be one of this centurys most transformative technologies these machines will open a new world of possibilities for science and industry but first we need to radically transform how we operate quantum computers quantum computers are intricate and delicate instruments tuning them is timeconsuming and difficult and they go out of tune rapidly in the end these amazing instruments spend much more time being tuned than used if we want to turn quantum computing into a robust industry things have to change this is the challenge we take on at quantrolox we develop solutions that keep quantum computers automatically in tune our quantum autopilot software continuously monitors and adjusts thousands of parameters to ensure smooth operation in this way we accelerate development cycles and drastically increase uptime
statistical inference from multiscale biological data theory algorithms applications

the last two decades have witnessed giant experimental breakthroughs in different areas of the life sciences from genomics to epidemiology thanks to modern highthroughput techniques biological systems across multiple scales from single molecules up to entire populations can now be probed quantitatively at high spatial and temporal resolutions besides enhancing our basic knowledge of a systems constituents these data potentially encode a plethora of information about the functional constraints that govern its evolution and the physical constraints that limit its performance as well as about levels of organization dynamical constraints or design principles that would be hard to identify from lowthroughput data extracting this information is also crucial for applications ranging from the design of proteins with a desired functionality to the reconstruction of contacts during an epidemics inverse statistical mechanics attempts to do it by inferring generative models boltzmann distributions from data using methods from the physics of disordered and random systems specific characteristics of biological data however like strong undersampling and heterogeneity limit the effectiveness of these tools simbad aims at developing a class of statistical inference techniques capable of overcoming these issues in simbad theoretical work will supply concepts and methods to address four pressing problems learning protein sequence landscapes inverse modeling metabolic networks inferring contact networks from epidemiological data and improving survival analysis models which in turn will guide the theory towards integration with the existing standards of each field this effort promises to open new pathways for basic research to impact economic technological and societal issues the high profile crossdisciplinary expertise represented in simbad ensures instead for measurable and achievable objectives placing simbad in an ideal position to achieve its goals
stormwater and wastewater networks heterogeneous data aidriven management

public and private stakeholders of the wastewater and stormwater sectors are increasingly faced with large quantities and multiple sources of informationdata of different nature databases of factual data geographical data various types of images digital and analogue maps intervention reports incomplete and imprecise data on locations and the geometric features of networks evolving and conflicting data from different eras and sources etc obtaining accurate and updated information on the underground wastewater and stormwater networks is a challenge and a cumbersome task especially in cities undergoing urban expansion within this context the main objective of this multidisciplinary project starwars stormwater and wastewater networks heterogeneous data aidriven management is to address this challenge by providing novel proposals for the management of heterogeneous data in stormwater and wastewater networks the starwars project aims to bring together researchers from the ai and water sciences communities in order to enhance the emergence of new practical solutions for representing managing modelling merging completing reasoning explaining and query answering over data of different forms pertaining to stormwater and wastewater networks the project is implemented through five work packages wp the first four wp concern research developments of new ai methodologies for managing heterogeneous stormwater and wastewater networks data the fifth wp is dedicated to project management and dissemination activitiesthe second objective of the project is to produce new knowledge and to promote knowledge exchange with a strong will and a plan to encourage knowledge sharing between the researchers involved in this starwars project the scheduled secondment plan is designed with the aim of maximizing knowledge transfer and training between the two fields of water sciences and ai and thus facilitating the achievement of the project objectives
artificial intelligence in sustainable development goals

allies artificial intelligence in sustainable development goals is a new excellent collaborative postdoctoral programme led by the spanish national research council csic and coordinated through the artificial intelligence research institute iiia for the recruitment of 17 postdoctoral researchers to provide a new dimension through highly interdisciplinary intersectoral research in the broad topic of artificial intelligence ai in alignment with the sdgs while maintaining the highest research quality standards the programme includes the participation of 18 different csic research institutes expert in the fields of ai big data machine learning robotics data science as implementing organisations recruiting fellows in addition to offering a bottomup approach for multidisciplinary research topics in one of the 8 ai challenges covered in csics ai white paper the programme provides a tailormade training programme to educate tomorrows ai researchers entrepreneurs in a broad set of scientific transferable and business skills allies builds up on the artificial intelligence hub aihub collaborative framework created by csic to provide an excellence platform to pursue and fulfil the strategic agenda of csic in ai in alignment with national and european strategies and policies indeed one of the mediumterm impacts and outcomes of allies is to create a workflow of excellent researchers as future leaders in ai for the implementation of csics scientific challenges in ai robotics data science as well as the ec white paper on artificial intelligence and other relevant national and european strategies and priorities the programme will maximise the impact on the career perspectives of recruited fellows by integrating a holistic approach to training through a combination of researchoriented and soft skills providing the recruited fellows with personal capacities and prospective career perspectives in the academic nonacademic sectors
harnessing the potential of archaea training europes next visionaries for an innovative and sustainable future

archaea form one of the three domains of life next to bacteria and eukaryotes archaea have unique cellular characteristics that allow them to thrive in extreme environments for example at high pressures salt concentrations or temperatures although their biochemical and metabolic properties show great potential for a wide range of biotechnological applications our lack of knowledge about the structure and function of the archaeal cell surface and its role in formation of communities such as biofilms is currently hampering the largescale industrial use of these organisms indeed several prominent questions remain unanswered due to the small scientific community working in the field and the lack of methods and technologies enabling research under extreme conditionsarctech proposes the first training initiative on archaea aiming to foster the next generation of european visionaries in fundamental archaeal research and their application in biotechnology the 11 doctoral candidates dcs will address key knowledge gaps and develop methods and technologies for archaeal research which are needed to unleash the industrial potential that archaea hold the scientific outcomes of arctech will be applicable to several biotech areas such as green energy production sustainable biomaterials biocorrosion enzyme production and drug deliverythis project will directly impact the european higher education sector as the first research training initiative embarking into the unchartered world of archaea the dcs will be trained by world experts from european academic and industrial institutions benefiting from strong interdisciplinary exposure eg microbiology bioimaging biogas production these entrepreneurial innovative and resilient dcs will be of great value both to the academic and nonacademic sectors bringing unique capacity to inspirespawn new fields of innovation in european industries
innovative multifunctional and smart coatings to prevent medical device related infections

infections represent one of the major risks of surgery implants and the main cause of implant rejection affecting over 5 of patients who undergo an implant surgery around 2m patients in the eu at spartha medical created in 2019 as a spinoff of inserm biomaterials unit strasbourg we developed a multifunctional coating with antimicrobial and antiinflammatory properties to prevent infections in implants and surgical care in addition to this medical coating to be used directly in hospitals we developed a second product a biocompatible ecofriendly spray with antibacterial antiviral properties for general and daily use we also offer a customized coating development service for medical device manufacturers which leads to recurring licensing our coating platform is so versatile the applications are endless we are also integrating the development service to electronics and cosmetics companies we have signed 7 contract agreements so far and 2 more in advanced negotiations
imaging and advanced guidance for workflow optimization in interventional oncology

cancer is a leading cause of death worldwide accounting for nearly 10 million deaths in 2020 or nearly one in six deaths lung and liver cancers were among the top three leading causes of cancer death in 2020 with 18 million and 830000 deaths respectively on the other hand soft tissue sarcomas are relatively uncommon cancers diagnosed in about 1 of all adults but much more common in children and young adults accounting for 710 of paediatric malignancies they are an important cause of death in the 1429 years age groupinterventional oncology involves miniaturized instruments biopsy needles ablation electrodes intravascular catheters and minimallyinvasive access guided by imaging techniques xray ultrasound computed tomography magnetic resonance imaging to target cancer with ablative or localized drug delivery strategies interventional oncology can be used as a standalone approach or in combination with the other approaches pillars to enhance treatment efficacy while cancer survival has significantly improved over time through innovations in each individual pillar our current understanding of cancer now leads us to an intertwining of pillars and multimodal care pathways interventional oncology is uniquely suited to leverage and enhance the effects of the conventional therapy pillars while reducing the burden on the healthcare systemimagio will leverage interventional oncology in the clinical setting to improve the cancer survival outcomes through minimally invasive efficient and affordable care we will deliver four complete multimodal care pathways for two of the most aggressive cancers liver lung and one of the most debilitating when treated with current approaches sarcoma1 multimodal interventional imaging for fast and precise radioembolization therapy of liver cancer 2 multimodal ablation therapy of liver cancer 3 multimodal diagnosis and therapy in earlystage lung cancer and 4 multimodal mrhifuenabled therapy for abdominal sarcoma imagio will mature the nextgeneration interventional imaging across the full spectrum from preclinical developments to impact validation in clinical trials expertise on interventional oncology and immunotherapy will be leveraged from pioneering clinical research centres and leading industry covering the full value chain of oncological care as well as cancer patient and professional organisations such synergetic partnerships will accelerate the impact of the technologies and transform the way healthcare solutions are delivered providing access to safe fast and effective care by focusing on the local delivery of therapy imagio will drive the substitution of conventional higher dose systemic alternatives or invasive surgical approaches thereby accelerating recovery reducing complication rates and the number of patient visits
metallolinkerfunctionalized mof catalysts for co2 hydrogenation

one of the main challenges of the 21st century is the reduction of co2 emissions to the atmosphere for which replacing fossil fuels with renewable energy sources will help methanol is a sustainable key compound that can be directly used as a lowdensity fuel or as a feedstock for valuable platform chemicals to date efforts to perform co2 hydrogenation to methanol under mild reaction conditions have not achieved high enough selectivity at reasonable conversion values heterogeneous catalysts are robust and easy to recover but usually yield low selectivity due to the difficult control of the active sites during synthesis in contrast homogeneous catalysts feature welldefined active sites amenable to logical optimization and selectivity design but inefficient catalyst recovery and decomposition are huge shortcomings for industrial implementation tunemof proposes to overcome these drawbacks by developing metallolinkerfunctionalized mofs bearing earthabundant metals fe and mn the immobilization of the molecularbased catalyst center will promote the metalligand cooperation and the secondary linker assistance will prevent the deactivation of the catalyst meeting this strategy with lowcost metalbased catalysts is a significant added value tunemof integrates the experience of the researcher in organometallic chemistry the excellence of prof olsbyes group university of oslo in applied chemistry of porous materials the experience in catalytic testing of homogeneous systems of prof beller likat secondment and in spectroscopic analysis and technoeconomic assessment of haldor topse nonacademic placement this synergy provides a unique networking platform to diversify the researchers individual competences and to promote the interdisciplinary and intersectorial transfer of knowledge the complete training gained from the development of tunemof will promote the professional career of the applicant to become a leading independent researcher