Dragon09/odtu_chatbot huggingface dataset:
towards sustainable landuse strategies in the context of climate change and biodiversity challenges in europe

aligned with the european leading efforts in climate science and multiple initiatives on climate action and sustainability the project towards sustainable landuse strategies in the context of climate change and biodiversity challenges in europe europeland focuses on the integration of natural and social sciences to identify develop test and implement integrated tools to improve the understanding of the factors behind landuse decisions as well as the stakeholders awareness and engagement in terms of climate change and biodiversity challenges europeland expects to go beyond the stateoftheart and fill in specific gaps associated with integrated indicators for monitoring land use and land cover change the effects of awareness and behavioural typologies on pathways to more sustainable land use across europe and interactive tools to explore land use under different scenarios and with participatory approaches the project also intends to challenge the dominant narrative through its choice of case studies particularly comparing eastern and western european situations while also devoting special attention to the role of stakeholders in landuse decisions europeland integrates 12 eu member states and consists of 7 work packages with tasks associated with assessing landuse behaviour across europe investigating the awareness of key landuse related stakeholders about climate change and biodiversity challenges and their willingness to contribute to addressing them mapping land use and land cover patterns and constructing integrated assessment modelling approaches the project will also produce an interactive toolbox designed in a user friendly way to allow users via the web to experiment with different landuses understand hidden connections between them and develop a holistic and systemic way of thinking combined with efforts on strategic stakeholder engagement and capacitybuilding initiatives the project resources are expected to support sustainable land use and decision making at all levels
theoretical investigation of surface phonon polaritonbased quantum photonic circuits

the primary goal of the phonologiq research program herein described is to produce a simple and clear set of analytical expressions that detail the dependence of the efficiency of a surface phonon polaritonbased integrated quantum photonic circuit on the material and geometric parameters of its nanoscopic components this research will focus on three primary areas of novelty 1 incorporating radiation into models of interactions between phononic waveguides and quantum emitters and antennae 2 describing the effects of material nonlocality and anisotropy on the fundamental performance limits of the circuit and 3 investigating novel hybridizationmediated pathways through which the efficiency of nonlinear circuit elements like switches or light sources can be enhanced without losing energy to radiation upon successful completion of the program the results will be a useful roadmap by which experimental researchers working to realize the next generation of quantum photonic information processing systems can formulate concrete design criteria the planned speedup to europes development of cutting edge computing technologies falls within the stated goals of the horizon 20212022 work program to strengthen the ri capacity output and transfer within and between european research institutions
nonhermitian topological systems and their applications for sensors

nonhermitian topological systems have emerged as a promising area of study within condensed matter physics garnering substantial attention in recent years their distinct characteristics including the nonhermitian skin effect and their potential applications in sensing technologies have spurred a surge of interest and investigation this research proposal outlines a comprehensive program aimed at studying nonhermitian systems and exploring their practical utility in the development of innovative devicesthe research program is structured around two primary branches each addressing critical aspects of nonhermitian systems the first branch seeks to develop a robust theoretical tool for comprehending and predicting nonhermitian skin effects in disordered systems particularly in higher than one dimension for this wave packet dynamics will be used as a method as part of the program a comprehensive code package will be produced facilitating access to these simulations for fellow scientists and researchersthe second branch of this program focuses on the theoretical development of mechanical metamaterial devices capable of studying nonhermitian matrices in stark contrast to conventional approaches where the dynamical matrix of the system is designed to be nonhermitian the aim is to engineer systems where the response matrices to external drive exhibit nonhermitian characteristics this idea builds on recent research findings where such systems have been successfully realized by us in conductance matrices extending this approach to mechanical metamaterials offers a versatile and rapidly deployable platform collaborative efforts with experimentalists will play a pivotal role in the actualization of these novel devices poised to advance the frontiers of applied nonhermitian physics
machinelearning polymer gels elasticity and structure

responsive soft materials made of crosslinked polymer networks have emerged as a promising class of systems in particular thermoresponsive hydrogels and microgels are widely used from drug delivery to cell engineering and art restoration an important feature of such systems is their internal elasticity which can be tuned according to their preparation protocol and crosslinker concentration despite recent progress in their modeling by means of numerical simulations there is no way to know a priori their structure and elasticity from only their initial constituents and hence extensive exploration of initial parameters through simulations and experiments must be performed to overcome this difficulty in the present proposal mgels machinelearning polymer gels elasticity and structure i will exploit my existing knowledge on machine learning ml methods to develop novel tools able to predict structural and elastic properties of hydrogels and microgel particles to design in silico polymer networks with desired featuresthe project is based on four objectives the first is to develop a mlneural network mlnn able to predict the network structure using data from molecular dynamics simulations of microgels and hydrogels already collected from the supervisor the second is to explore structural and elastic properties of new configurations of networks following the methods established in the host group as a third objective we will create a new database of polymer networks that will be made open access at the end of the project finally we will extend the mlnn approach to predict elastic properties and to identify the onset of auxetic behavior with the accomplishment of these goals we will be able to fully predict polymer networks properties being very appealing for the soft matter and materials science communities the scientific outcomes from the action and the development of new skills will help me to establish my future career in academia
an artificially intelligent diagnostic assistant for gastric inflammation

most cases of gastric cancer gc are detected at a late stage when patients have a median life expectancy of about a year diagnosing people at risk of developing gc at the presymptomatic stage typically chronic gastric inflammation could significantly improve the outlookartificial intelligence ai can help clinicians make sense of their own data by automating much of the treatment and analysis which require manual work and years of experience but it can do more it can bring together available data from various sources into a vast data lake and crosscorrelate the data to derive a risk score for gastric cancer and shed light on the mechanisms of its evolutionaida aims to do just that it helps researchers understand the mechanisms that trigger gastric oncogenesis helps clinicians diagnose precancerous inflammation at the earliest possible stage suggests personalised therapeutic strategies for treatment and followup and makes personalised recommendations for monitoring patient health status thus contributing to gastric cancer preventionthis places aida squarely on europes agenda of staying healthy in a rapidly changing society aida unites some of europes leading authorities in the field of gastric inflammation gastric cancer leading ai and machine learning experts experts on data governance and privacy representatives of the public administration and patient advocates aida also has strong ties with the industryafter the project the results will live on in an association that acts as a transnational focal point for chronic gastric inflammation and gc in general we hope that the solid inclusive design principles of aida its societal relevance and its durability will spawn a vigorous ecosystem around chronic gastric inflammation its understanding and its treatment and we hope that it will inspire other data collaboratives in health for other chronic inflammations other forms of cancer or other ailments altogether
boosting innovation in breeding for the next generation of legume crops for europe

the legume generation consortium will invest in innovation that boosts the breeding of legumes in europe by combining the entrepreneurial focus of breeders with the broad inventiveness of the supporting research base six speciesoriented breederled innovation communities will link practical breeding with the researchbase in a transdisciplinary framework they lead the innovation work and each is focused on the breeding of a single species or species type soya bean glycine max lupins lupinus spp pea pisum sativum lentil lens culinaris phaseolus bean phaseolus spp eg common bean and white and red clover trifolium repens and t pratense these are supported by the crossproject collection of intelligence on ideotype concepts beneficial traits a catalogue of legume species and cultivars and breeding methods assembled in the legume generation knowledge centre the production and validation of novel resources genotypes methods and tools screening demonstration and testing of germplasm and new cultivars in different regions training to support breeding gains in our innovation communities governance and financial models and business plans for inclusive plant breeding all this will be supported by consortium internal and external dissemination and communications including the extension of the european legume hub as a platform for sharing of knowledge we currently run 43 breeding and prebreeding programmes we will give these a decisive boost through access to resources that accelerates the production of novel germplasm innovating up to the point where newly bred germplasm and cultivars are proven on farm breeders will use the results to support expansion of legume production our innovation communities will be open to all relevant actors and provide a direct route for the dissemination of results to other users and interested stakeholders their sustainability beyond the life of the project will be supported by business plans
artificial intelligence for image data analysis in the life sciences

machine learning ml has enabled and accelerated frontier research in the life sciences but democratised access to such methods is unfortunately not a given access to necessary hardware and software knowledge and training is limited while methods are typically insufficiently documented and hard to find furthermore even though modern aibased methods typically generalize well to unseen data no standard exists to enable sharing and finetuning of pretrained models between different analysis tools existing userfacing platforms operate entirely independently from each other often failing to comply with fair data and open science standards the field of ai and ml is developing at a staggering pace making it impossible for the nonspecialist to stay up to dateto enable the life science communities to benefit from aimlpowered image analysis methods ai4life will build bridges providing urgently needed services on the common european research infrastructures we will build an open accessible communitydriven repository of fair pretrained ai models and develop services to deliver these models to life scientists including those without substantial computational expertise our direct support and ample training activities will prepare life scientists for responsible use of ai methods while contributor services and open standards will drive community contributions of new models and interoperability between analysis tools open calls and public challenges will provide stateoftheart solutions to yet unsolved image analysis problems in the life sciences our consortium brings together aiml researchers developers of popular open source image analysis tools providers of europeanscale storage and compute services and european life sciences research infrastructures all united behind the common goal to enable life scientists to fully benefit from the untapped but potentially tremendous power of aibased analysis methods
eclbased infectious pathogen biosensor

infectious diseases are a threat to mankind since their appearance in human history despite the advances in science and technologies such threats are still recurrent as recently shown by the covid19 pandemic in 2020 2021 which has revealed the urgent need for novel tools for pathogen detection that would be at the same time reliable fast cheap portable and simple the goal of eclipse is to address this need with a new platform exploiting innovative ultrasensitive protocols for the detection of pathogens eclipse builds on the combination of interdisciplinary elements to facilitate the transfer to industry ie i electrochemiluminescence ecl as a very sensitive transduction mechanism for realizing simple portable and cheap devices ii bio nano and supramolecularbased signal amplification structures for increasing the sensitivity and iii two recognition strategies to afford high affinity and selectivity thus leading to high reliability the phagesandwich technology for the whole pathogen and the surface cooperative hybridization technology for microbial and viral nucleic acid we will demonstrate the feasibility and adaptability of the eclipse platform with three test cases a virus sarscov2 a bacterium pseudomonas aeruginosa and a protozoan parasite leishmania infantum the platform is designed to be applied to many other infectious agents making it a ready for the next pandemic technology eclipse is expected to become a gamechanger in european countries where it could be a cornerstone for fast testing and reliable tracking of infections and in developing countries that will benefit from a cheap and simple approach to detect the many infectious diseases that affect millions of people every year the project results will be validated and demonstrated at partners premisses
artificial intelligence enabled by automatic dynamic exploration of integrated photonic spiking neural networks

in this project ariadne i will address several key challenges of todays hardwarebased neuromorphic computing by developing a novel ai system based on a highly complex dynamical and nonlinear integrated photonic neural network that is easy to fabricate and consumes low power the proposed implementation is enabled by an original machine learning approach which allows to considerably relax the requirements on fabrication reproducibility and on observability and tunability of the network parameters the ai system is expected to learn to perform multiple complex and timedependent computational tasks at high speed within a compact device finding application in realtime control with enhanced cybersecurity robotics autonomous vehicles internet of things and physiological signals analysis eg prediction of epileptic seizures ariadne will be hosted by the nanolab research group at the university of trento unitnthe project acronym is inspired by the ancient greek myth of theseus and the minotaur where princess ariadne comes up with an ingenious way to help theseus escape the labyrinth in ariadne i aim to let a reinforcement learning algorithm learn to solve loosely speaking the spatiotemporal maze represented by the complicated dynamics in the considered networks of integrated optical resonators in particular the reinforcement learning algorithm will learn to control a complex feedback loop in order to set favorable dynamical network properties that allow to carry out target computational tasksthe ai system is expected to learn to perform multiple complex and timedependent computational tasks at high speed within a compact device finding application in realtime control with enhanced cybersecurity robotics autonomous vehicles internet of things and physiological signals analysis eg prediction of epileptic seizures
a theory of neural networks for control

as neural networks are delivering groundbreaking performance in various machine learning frameworks ranging from the basic framework of supervised learning to the powerful and challenging framework of control immense efforts focus on developing underlying mathematical theories recent years witnessed breakthrough contributions to the theory of neural networks for supervised learning by myself and others yet from a theoretical perspective much is left to be elucidated about neural networks in the powerful framework of control leading to a predominantly heuristic implementation which hinders their use in control application domains where safety robustness and reliability are critical eg healthcare aerospace and manufacturing the overarching goal of the proposed research is to develop a comprehensive mathematical theory of neural networks for control providing an explanative formalism for intriguing empirical phenomena as well as breakthrough practical techniques that promote safety robustness and reliability the research aims to overcome major current challenges by harnessing powerful mathematical tools in the realms of tensor analysis and dynamical systems theory that i have developed over the past decade building on my academic record in the theory of neural networks for supervised learning which is accompanied by vast practical industry experience with neural networks for control i am confident in being uniquely positioned to pursue this pressing ambitious goal of developing a practical theory for neural networks in control a successful outcome of the research will significantly broaden the theoretical knowledge on neural networks and unleash their power in critical control application domains thereby having transformative impact
studying the metabolism and function of myeloid dendritic cells and neutrophils in distinct tissues in health and aging

myeloid cells such as dendritic cells dcs and neutrophils reside in various organs to respond to insults and are key to control immunity and inflammation however their aberrant activities in the elderly can cause immunosenecence and inflammaging different tissues comprise highly distinct milieus that impose contextdependent biochemical challenges on their resident cells which further change when tissues age yet it is not known how dcs and neutrophils survive in their different homing organs and maintain their functionalityi hypothesize that dcs and neutrophils have to adjust their metabolism to the distinct environments of their tissues of residence this is important because metabolic changes upon stimulation were shown to affect the functions of those cells in vitro given their power to orchestrate immune responses it is now vital to reveal the precise metabolic adaptions of dcs and neutrophils to their distinct homing organs and to determine how that affects their activities this pioneering knowledge will expose organdependent metabolic vulnerabilities of dcs and neutrophils to uphold their homeostatic and immune functions which i envisage to cause their dysfunction in aging i will uncover the metabolic adaptions of dcs and neutrophils to 10 healthy and aged tissues using independent innovative approaches and adapted cuttingedge techniques i will reveal the relevance of such tissuedependent metabolic adjustments for their presence and functions in organs and dissect the underlying molecular mechanisms i will expose the tissuespecificity of dc and neutrophil dysfunction in aging and the role of their metabolismthe discovery of tissuedependent metabolic adaptions by dcs and neutrophils that impact their functions will transform translational immunology research to integrate the tissuecontext and reveal novel organspecific therapeutic strategies to combat immune dysfunction in aging and beyond
quantum flagship coordination action and support

quantum technologies qt are now developing quickly and broadly in europe and the qt flagship launched 3 years ago is part of a larger quantum fleet this evolution goes together with a reinforcement of the move from the lab to realworld applications and to industry involvement towards potential markets the qucats csa is designed to accompany this transition with the main goals to foster an open and inclusive ecosystem at the european and international levels to contribute to the development of qt benchmarks and standards and to stepup training and education of a quantum aware workforce these outcomes will be reached through the execution of five work packages and their expected impacts will be to preserve the ownership sense built by the previous qt initiatives now enlarged from labs to the european quantum industry to make sure that a plurality of voices is consulted and heard delivering a consistent scientific and political message on critical qtrelated issues and to guarantee that the new phase of the qt flagship will be validated and supported by the largest possible scientific and industry community a crucial issue is to allow researchers and policy makers to strike a balance between protectionism and full free trade in order to keep going the worldwide exchange of ideas ultimately leading to the conceptual and technological breakthroughs required for the full realization of the qt potential this smart openness will make europe more attractive for foreign companies avoiding at the same time the move of qt companies to countries outside it particular attention will be brought to the coordination and development of international qt standards and regulations and to new educational programs on a european scale able to train qt specialists well skilled to make progress in the current flagship phase and beyond it ultimately the goal of qucats is to keep the whole european qt initiative on the path towards a full success on a global scale