Dragon09/odtu_chatbot huggingface dataset:
holistic omnipresent resilient services for future 6g wireless and computing ecosystems

6g technologies benefitting from softwarisation gbs speed and subthz communications paradigms open up opportunities for developing new and innovative network management strategies while navigating the evolution toward disaggregation new softwarebased paradigms in architecting and operating future connectivity platforms and embracing features of computing automation and smartness trust privacy and security supported by this technology evolution as the vision of new smart and innovative capabilities is becoming a reality superb user experience is expected even in presence of mobility and resource volatility however the fundamentally new and unknown features of advanced disaggregated virtualized and multivendor 6g based infrastructures challenge the security and resilience design to the next level by managing the unknown complex and highly versatile infrastructures as they evolve indeed the future deployment of 6g networks is inextricably connected with an integration of diverse hardware elements and infrastructures thus leading not only to a highly heterogeneous environment but also to functions and features that cannot be anticipated at the time of design the vision of horse in this complex scenario is to deal with the technology solutions and system evaluation not yet foreseen towards an omnipresent smart and secure network service provisioning in the future networkofnetworks landscape to this end horse proposes a novel humancentric opensource green sustainable coordinated provisioning and protection evolutionary platform which can inclusively yet seamlessly combine advancements in several domains as they get added to the system eg predictive threats detection proactive businesswise threats and breaches mitigation actions programmable networking semantic communications network function virtualisation nfv intentbased networking aibased techniques crosslayer management of physical layer features etc
decoding local crosstalk in tumor formation

communication between different cell types is essential for many biological processes both in homeostasis and in disease in tumor initiation growth and metastasis cancer cells send and receive chemical and physical cues from their microenvironment those cues determine how disease progresses and influence proliferation and invasiveness of malignant cells understanding the crosstalk between cancer cells and their immediate environment is crucial for the advance of novel cancer therapies thanks to the development of singlecell technologies we can now sample the complexity and the many functions of the tumor microenvironment while immune cells are at the forefront of these studies the mesenchymal fibroblast component is also a highly pertinent and significant player in this proposal i will focus on proximal communication between cancer cells and mesenchymal fibroblasts using intestinal cancer as a model i will apply a multimodal approach to investigate the consequences of tissue crosstalk in the early stages of epithelial transformation and the activation of cancerassociated fibroblasts cafs first i will use tumoral organoidnaive fibroblast cocultures to study the crosstalk between epithelium and mesenchymal fibroblasts in vitro and its effect on fibroblasts gene expression pattern objective 1 secondly i will interrogate the response of mesenchymal fibroblasts to epithelial transformation in vivo at single cell depth i will identify new fibroblasts subpopulations cafs study their origin and transcription factors involved in their activation objective 2 finally i will study the tissue reorganization induced by crypt hyperproliferation using highresolution confocal imaging and in situ hybridization to spatially contextualize any changes in gene expression objective 3 results from these three objectives will enhance understanding of cellular crosstalk in early stages of cancer and the mechanism of cafs activation
analytic methods for dynamical systems and geometry

the aim of this project is to study a broad class of dynamical systems by using tools from the fields of harmonic analysis and pdes semiclassical microlocal analysis and to apply these new results to a variety of problems of geometric originin a first part we will mainly focus on systems exhibiting a weak hyperbolic behaviour partially nonuniformly hyperbolic systems for which analytic techniques are far less understood compared to the uniformly hyperbolic setting we plan to study statistical properties of such systems and the regularity of solutions to transport cohomological equations then we will address rigidity questions in geometry and dynamics such as marked length spectrum or boundary lens rigidity katoks entropy conjecture in a third part we aim to study anosov representations and meromorphic extension of related poincar series via microlocal techniques we expect the tools developed in the first part will help to understand part two and three 1 statistics of weakly hyperbolic flows study of transport questions ergodicity mixing polynomial or exponential mixing of partially hyperbolic nonuniformly hyperbolic systems we also plan to study cohomological equations and prove livv sictype theorems finally we will study equilibrium measures existence uniqueness and properties for compact extensions of anosov diffeos flows2 geometric and dynamical rigidity for flows actions marked or unmarked length spectrum rigidity conjecture for nonuniformly hyperbolic geodesic flows lens and boundary rigidity katoks entropy rigidity conjecture rigidity of anosov actions katokspatziers conjecture kanais regularity conjecture 3 anosov representations spectral theory of anosov actions on infinite volume manifolds meromorphic extensions of poincar series if finite we aim to compute the value of these series at the spectral parameter 0
in vitro futures an anthropological study of embryo adoption between canada and spain

in vitro futures is a critical and innovative anthropological analysis of embryo adoption from a transnational multisited and comparative perspective between canada and spain the project is built around 3 fundamental yet unanswered research questions rq1 from a comparative point of view what narratives exist behind embryos adoption and how are these meanings and practices shaped or promoted by social determinants such as nationalitycountry biopolitical institutions gendersexuality and class rq2 how do clinics and fertility specialists influence embryos adoption practices rq3 how is biological relatedness referred to by embryo donors and embryo receivers in canada and spain the research aims will be reached through 3 research objectives ros corresponding to the 3 research questions outlined above ro1 biomedical issues moral discourses salvific logics in the current framework of embryos adoption management ro1 will explore and study how medical actions contribute to construct a specific narrative relating to the extra embryos ro2 to identify how these meanings and practices are coerced or promoted by social determinants such as nationalitycountry biopolitical institutions gendersexuality class race in the presence or absence of a regulatory framework this research requires the comparison between the two cases embryo adoption in spain and in canada ro3 relatedness in embryo adoption programs ro3 will examine empirically the meanings and practices of family relatedness in the transition to parenthood of families created through this practice my hypothesis is that the ways in which the embryos are represented and the impact of absencepresence of a law on embryo donation may have significant implications for decisionmaking around the fate of spare embryos
elite politics in electoral autocracies

today most dictators exploit democratic institutions such as multiparty elections or legislatures to cover their autocratic rule to carry out this form of rule dictators need a loyal coalition of politicians to gather supporters advance policies and win elections while this loyalty is central to regime survival elite divisions within authoritarian governments can induce political change yet what type of divisions matter and whether such change will be democratizing are unclear defectors might have the resources to embolden prodemocracy groups but they may also face repression worsening democratization prospects what type of divisions within the ruling elite can weaken modern autocracies what are the mechanisms that underpin the relationship between defections and democratizationelite offers a new theoretical framework innovative data and empirical research to identify and explain the strains and disruptions within authoritarian governments that induce democratization it develops a theory of the elite origins of regime instability focusing on divisions within the ruling elite elite builds a novel dataset on political elites resources and dissent strategies in 28 prominent electoral autocraciestodays most common form of autocracy cuttingedge mixed methods test why and how elite divisions strengthen antiregime groups and weaken leaders tools to stay in power findings will inform academic and policy debates on the processes that weaken modern dictatorships dr adrin del ro rodrguez has broad expertise on the topic of elite politics in autocracies and methodological skills to carry out the elite project the department of political science university of oslo will host dr del ro and prof carl h knutsena top international scholar in autocratic politicswill supervise him the hosting arrangements provide excellent opportunities for networking training and potential for research collaboration during the msca fellowship
data process technological bricks for expanding digital value creation in european data spaces

the emergent european data economy relies on the availability of data as a basis for further innovation and exponential development of technologies especially the development of trustworthy made in europe ai that reflects european values data spaces platforms and marketplaces are enablers key to unleash the potential of such data however data sharing and data interoperability are still at their infancy through databrix european data spaces platforms and marketplaces and their wide range of business governmental and public research and civil society stakeholders will be equipped with a holistic and flexible data governance process and a seamless integrated standards based toolbox for data and metadata management which can be assembled along relevant requirements provides open source as well as commercial tools the bricks brix and mechanisms to load 3rd party resources like language resources or ai models and can be easily deployed into data spaces and thereby will contribute to make europe the most successful area in the world in terms of data sharing and data reuse to gain the full benefit from the value of data while respecting the legal framework relating to security and privacy the projects objective is to provide a holistic energyefficient and userfriendly toolbox of practical robust and scalable bricksbrix processes technologies and tools that improve the interoperability usability discoverability quality and integrity of data and metadata with the aim of making data sets ready for expanded digital value creation in the context of european data spaces the databrix toolbox will be offered in compliance with accountability fairness privacy and confidentiality regulations as well as fair principles and will build on existing and emerging initiatives the databrix consortium comprises 14 partners from 6 eu members and 1 associated country uk that together form a complete value chain of actors
advanced numerical modeling techniques and design of metasurfacebased components for 5g communications

the value of the global 5g services market is expected to grow to 2492 billion by 2026 the considerably increased resources required ie greater spectral bandwidth greater throughput lower latency have already led to the transition of telecommunication channels at higher frequency bands where the design and utilization of artificially resonant materials metamaterials and their twodimensional equivalents metasurfaces has emerged metasurfaces the lightweight easytofabricate artificial sheet structures composed of subwavelength particles exhibit unique electromagnetic properties of effectively controlling and manipulating the wave propagation and constitute the enabling technology for the design of mmwave components fully planar waveguiding structures beamsteerable leaky wave antennas perfect absorbers are only a few applications of the emerged metasurface concept furthermore increased requirements of multigbps systems have already given a boost to reconfigurable designs of components via electronic tuning of their parameters beyond meta will provide a significant contribution to the wireless and mobile telecommunications sector focused on the field of antennas and propagation by developing a robust and powerful computational tool for the analysis design fabrication and measurement of metasurfaces as an enabling technology for the production of novel components in the mmwave region in order to be incorporated in 5g communications systems according to the industry demands special emphasis will be given on reconfigurability of innovative structures antennas and absorbers via application of electronically tunable mechanisms the realization of these specific objectives will be performed by the researcher at the section for electromagnetic systems of the technical university of denmark dtu and at institute of electronic structure and laser iesl of foundation for research and technology hellas forth at the secondment phase
targeting bicarbonate transport as a firstinclass therapeutic strategy to promote cd8 t cell fitness and enhance cancer immunotherapy

pancreatic ductal adenocarcinoma pdac is one of the most aggressive and lethal cancer types it is virtually resistant to any sort of therapy including the most recent immunotherapies these tumors are characterized by a strong hypoxic nutrient poor and acidic tumor microenvironment tme in which cytotoxic cd8 t cells are excluded or absent in the context of tumor acidity the role of bicarbonate transporters key regulators of ph homeostasis has mostly been neglected so far supported by the erc consolidator grant immunofit we recently unveiled that the metabolic editing of the tme via inhibition of a specific bicarbonate transporter in cancer cells represent a novel robust therapeutic strategy to mitigate the acidity of the tme increase the fitness of cd8 t cells and render more effective the current immunotherapeutic regimens in pancreatic cancer to progress on the path from groundbreaking research towards innovation we now propose to derisk the target by delivering early lead compounds ie blockers with proven therapeutic efficacy and synergism with immunotherapies in several preclinical tumor models to be valorized for addon cancer therapy through followup rd collaborations andor licensing agreements with pharmaceutical biotech companies this will lead to the commercialization of our sciences and broad societal impact with the deliverable of a brandnew therapeutic approach and combination regimens which are urgently required to tackle tumor resistance or refractoriness visvis immunotherapies
integration of singlecell multiomics data across space and time to unlock cellular trajectories

the introduction of highthroughput singlecell sequencing has produced a flood of data at the resolution of the single cell including spatiotemporal information and different molecular facets of a cell aka multiomics their integration through multimodal learning mml aimed at combining multiple complementary views offers great promise to understand the spatiotemporal phenotypic evolution of a cell and its molecular regulators however integrating multiomics data across space and time is a huge computational challenge requiring radically new mml approachesmultiviewcell will infer multimodal spatiotemporal phenotypic cell trajectories by combining backtranslation to allow the unsupervised dimensionality reduction of multimodal data with a new optimal transport distance allowing the spatiotemporal pairing of cells aim1 multiviewcell will then pinpoint the molecular regulators of such trajectories by combining new graph convolutional networks with topological evolutions and heterogeneous multilayer graphs allowing the integration of graphs inferred from multimodal data aim2 finally all developed methods will be implemented in opensource software with an emphasis on gpufriendly scalable computations a unique feature among existing singlecell tools aim3these core contributions will impact machine learning but more importantly will have profound biological implications the application of the tools developed to cuttingedge singlecell data from muscle stem cells will lead to new biological hypotheses on their heterogeneity and crosstalk to be validated through wetlab experiments transversal tasks in addition by allowing to answer longstanding questions on the spatiotemporal phenotypic evolution of a cell multiviewcell will catalyze the generation of crucial knowledge in fundamental biology and it will be key to preventing disease onset or therapy resistance thus impacting health society and economy
ai factory for copernicus data at scale

despite the success of copernicus data the european earth observation eo data market is only onethird of the size of the north american market however the market is expected to double over the next decade various sectors such as insurance food safety environmental monitoring and precision agriculture are anticipated to capture most of the growth in this context dafab has identified three primary challenges that must be addressed to leverage the full potential of copernicus information firstly the timely analysis of eo data is critical for decisionmakers to make informed decisions to address this challenge dafab invests in novel hardware techniques dedicated to ai and federated computing techniques which are capable of handling large highresolution datasets and can enable realtime applications secondly the massive amounts of copernicus data make it challenging to identify the most relevant datasets for specific purposes and the siloed nature of eo data further compounds this problem to address this challenge dafab invests in semantic web techniques and public metadata catalogs to enable searching copernicus images by features and relationships finally the sustainability of analysis byproducts is critical for efficient data management to address this challenge dafab invests in cloudcomputing techniques and public metadata catalogs providing a unified solution for searching both raw copernicus and byproducts by features and relationships by addressing these challenges dafab aims to unlock the full potential of copernicus data and drive growth in the european eo data market
presert linking prefrontal cortex serotonin transporter and social cognition

neuropsychiatric and neurodevelopmental disorders are a heterogeneous group of mental diseases affecting about 1 billion people worldwide common alterations are in the cognitive and social domains having a critical impact on the public health daily life and longterm outcomes of affected patients unfortunately efficient pharmacological interventions are still missing the serotonin transporter sert reuptakes serotonin after synaptic release and is an important clinical target sert is widely expressed in the prefrontal cortex pfc an area profoundly engaged in sociocognitive functions and can be targeted by inhibitors drugs acting by blocking the transporter or by releasers drugs acting as a substrate of sert and then reversing its transport direction the sert releaser mdma showed promising results for treating social dysfunctions in posttraumatic stress disorder and autism spectrum disorders and its prosocial effect seems dependent on sertreverse transport considering the efficacy of the sertreleaser mdma in modulating social dysfunctions together with the need of sertreverse functions in mediating mdma prosocial effects and the role of the pfc in the regulation of sociocognitive functions the aim of presert is to evaluate the impact of sert on social cognition in mice to achieve this overarching goal presert is divided into three specific objectives i investigating the impact of the pfcexpressed sert on social cognition ii identifying the origin and connectivity of the underlying sertexpressing circuits and iii evaluating if social cognition can be differentially modulated by the reverse transport ie efflux or the simple inhibition of sert as a direct consequence presert has the potential to link sert its molecular functions and the underlying brain circuits to specific aspects of social cognition setting the ground for the development of innovative treatments for neuropsychiatric disorders
from rupture process to earthquake early warning

foreseeing means from rupture process to earthquake early warning and is a groundbreaking research project halfway between the investigation of the earthquake generation processes and the implementation of methods for realtime risk mitigation actions incredible progress in earthquake source characterization and modelling has been achieved in the last decades however the mechanism of nucleation radiation and arrest of seismic fractures is still poorly understood and with that the fundamental issue of seismology is still unsolved how do earthquakes begin and what does control their final size within foreseeing i want to get to the bottom of the earthquake nucleation with all possible means i want to solve the unsolved issue of how earthquakes start and understand the physical processes of their generation once this issue is understood i want my research outcomes to become a concrete support for the community and be implemented into earthquake early warning systems for the prompt activation of emergency actions that can save lives reduce damage improve resilience this will be achieved through an interdisciplinary research approach looking at the rupture process from different points of view real earthquake data will be used to find out evidence of the nucleation phase of seismic ruptures and to understand the relationship between the observed features of the initial recorded signals and the following evolution of the seismic ruptures laboratory experiments will allow to deeply understand which parameters may influence the rupture development and how they are involved in the process digital twins will give the chance to explore in great details the fracture processes during crustal earthquakes and investigate faulting mechanism in realistic conditions the implementation of realtime algorithms for eew will move the fundamental knowledge beyond the scientific research becoming a tool to reduce the risk during major earthquakes