Dragon09/odtu_chatbot huggingface dataset:
electric vehicles point location optimisation via vehicular communications

recent developments in the electric vehicles ev technologies have made great strides to offer new modes of smart green urban mobility where evs are used as the main transportation mode replacing the conventional diesel and petrol powered vehicles evs are expected to play a key role in achieving ambitious targets of lowering greenhouse emission in the transportation sector given the ev penetration rates and future forecasts it is essential to develop technologies that tackle charging management of evs considering a holistic view of charging supplydelivery management for evs communication of evs to the smart grid infrastructure system using 5g and beyond systems smart grids and big data analytics for evs optimise smart mobility and enhance the quality of experience for ev users evolve aims to exploit the scientific excellence and expertise of key academic and industrial players into a joint collaborative effort to design develop and test various technologies that consider the holistic view of ev charging taking into account the view of technical and business stakeholders evolve will pursue innovation for advancing the technologies in ev charging ecosystem by orchestrating and managing the underlying networking and computational resources design innovative algorithms using artificial intelligence ai and machine learning ml developing communication protocols prediction and optimising load in smart grids developing software systems and user interfaces uis evolve aims to transcend analytical models and simulationbased validation and aims to deliver five proofofconcept poc demonstrations evolve project will provide a platform to foster a close collaboration between academia and industry partners providing each with a unique experience to create new knowledge share knowhow and skills development
3d printed bioinspired softmatter electronics based on liquid metal composites ecofriendly resilient recyclable and repairable

liquid3d proposes bioinspired electronics and machines that are soft resilient selfhealing shapemorphing and fully recyclable functional sensingactingprocessingenergy cells will be 3d printed using a series of game changer liquid metal based composites as a result we will print futuristic soft electronics that sense and interact with humans or the environment this provides an excellent design freedom to scientists for manufacturing complex living electronics while guaranteeing that any possible product coming from these inventions will be resilient repairable and recyclable i expect that over 80 of microchips and metals in the printed circuits can be recovered liquid3d redefines the electronics by rethinking the materials fabrications and design architectures these objectives are feasible thanks to the recent breakthroughs that i made to the field first discovery of the biphasic liquidsolid composite based on galliumindium liquid metal lm that allowed the first ever method for room temperature printing of stretchable circuits and second a method for inclusion of microelectronics into ultrastretchable circuits through selfsoldering selfhealing and selfencapsulating of lmpolymer composites with liquid3d i will develop fundamental understanding and mathematical modelling of biphasic systems and develops novel room temperature printable composites with sensingactingenergy storage properties and methods for recycling them i will investigate novel forms of implementing truly 3d electronics with distributed functional cells liquid3d intends to fundamentally rethink the concept of electronics as we know today from rigid and brittle to soft resilient and repairable from polluting to recyclable from battery dependent to selfpowered from 2d to truly 3d it proposes a radically new way of making greener electronicswith liquid3d i aim to establish the world leading centre on recyclable and green electronics
changing landscapes hormonal fluctuations and neurocognitive functioning across the female lifespan

puberty menstrual cycle and menopause are all critical periods in a females life characterized by drastic changes in sex hormone concentrations these periods are also associated with changes in cognitive affective and social processing as well as an increased risk of depression and anxiety stressing the need to advance our understanding of effects of hormonal fluctuations on females wellbeing across the lifespana central process directly associated with cognitive affective and social functioning is performance monitoring adequate processing of errors reward and feedback is essential for efficiently adapting to a changing environment in everyday life gender and age effects exist for these processes and disturbances have been linked to anxiety and depression making performance monitoring an important topic in the investigation of neurocognitive functioning across the lifespan however research so far has largely ignored the effects of fluctuating hormonal levelsto answer the outstanding question how changing hormonal concentrations affect neurocognitive functioning in women i will employ a unique multidisciplinary methodology combining longitudinal psychopharmacological and neuroimaging techniques i will address the current gaps in our knowledge using a novel combination of three approaches 1 a lifespan approach that includes female participants from late childhood to late adulthood 2 a social approach that moves beyond the nonsocial focus of performancemonitoring research and 3 a psychopharmacological approach that focuses on the interactions between the relevant exogenous and endogenous neurotransmitters and hormones for the first timethe project represents a turning point in our understanding of the effects of naturally occurring hormonal variations on processes that are central for healthy cognitive affective and social functioning and will thus change the landscape of neurocognitive research relating to females of all ages
measuring how past sociocultural and environmental pressures shaped animal biodiversity the extinction of the endemic small mammals of the tyrrhenian islands

humancaused biodiversity loss including the extinction of a broad range of species has dramatically increased over the years with enormous repercussions on ecosystems worldwide however presentday species extinctions are only the latest stage in a considerably longerterm sequence stretching far back into the holocene when several extirpation events occurred in the prehistorical and historical eras a remarkable case is the extinction of the last endemic small mammals of corsica and sardinia while the large vertebrate fauna extinction occurred soon after the first human arrival ca 12000 years ago the small endemic mammals vanished much later between the late prehistoric and roman periods 8th c bc5th c ad precisely at the moment when colonial agents as phoenicians greeks and romans expanded and intensified trade networks although the disappearance of these species has been linked to anthropogenic causes it remains uncertain whether this event occurred in both islands simultaneously as the result of a single rapid cause or as a result of several interrelated causes this project attempts to redress this imbalance and establish a new empirical framework by integrating cuttingedge analyses gmm dmta and direct 14c dating with the abundant but underutilized archaeozoological record of the tyrrhenian islands this project will focus on three of these islands most emblematic speciesthe pika prolagus sardus and the rodents microtus tyrrhenicola henseli and rhagamys orthodonas proxies to investigate the mechanisms and effects of past humaninduced environmental changes and how this is interconnected with the colonial and cultural exchange evidenced in the historical and archaeological records integrating archaeozoological data with other source materials is not only crucial to develop richer and more nuanced view of past cultural practices but also can help to elucidate innovative solutions of the ongoing extinctions
potentiality and essence an integrated actualist theory of metaphysical modality

this project investigates the source of metaphysical modality that is to say it is concerned with the question in virtue of what are some facts necessary and others possible contingent or impossible in particular it will focus on the systematic investigation of the relations between the two main new actualist theories of modality which share the idea that modal facts can be explained by or grounded by more fundamental wholly actual phenomena the former aims to ground modal facts in the irreducibly dispositional properties possessed by actual objectspowers capacities potentialities and so on in its simplest terms it states that something is possible if and only if there is a chain of actual powers directed at it and necessary if and only if there is no power to bring about the truthmaker of its negationthe latter aims to ground modal facts upon the essences of actual objects what must be the case follows from the nature or identity of the existing entities and what can be the case is whatever does not clash with said natures in its simplest terms it states that something is necessary if it is part of the essence of everything and possible if its negation is not contained in the essence of everything in recent years each of these two theories has generated a rich and influential literature and have proved to be among the most serious candidates as sources of modality however their weaknesses have also started to become clear dispositionalism seems to have a hard time accounting for logical and mathematical necessities while essentialism seems to struggle more in accounting for the kind of modal truths involved in the causal dynamic diachronic evolution of a systemthe aim of the current project is to develop an integrated theory which incorporates elements of both theories and avoids their weaknesses
microbiome centered prediction and prevention of recurrent infections

antibiotics are a doubleedged sword they help clear the current infection yet can also select for resistant pathogens making future infections harder to treat while treatment guidelines recognize this collateral damage we currently lack strategies to predict how treatments affect future recurrence and resistance at the individual patient level this problem is of particular importance in urinary tract infections utis affecting the majority of women over their lifetime utis can chronically recur despite antimicrobial treatment importantly utis are often selfseeded by strains residing in the gut microbiome suggesting that the gut microbiome may provide means to predict current and future infections and could possibly even be manipulated to minimize infections here we propose an interdisciplinary approach combining highthroughput phenotyping and genomics of samepatient gutmicrobiome and uti samples with machinelearning analysis of clinical records towards a lookahead treatment strategy for recurrent infections first we will use wholegenome and metagenome approaches to sensitively detect infecting strains within the patients microbiome and develop a genebased model for the infectivity of strains and thereby for the likely infecting agent and resistance profile of infection second we will use longread sequencing to map genetic linkage among resistances in each patients microbiome enabling the development of a reinforcement machinelearning model to assign treatments that minimize both the risk of treatment failure and of future resistance finally quantifying in vivo and in vitro the impacts of antibiotic intake on microbiome composition we will test the feasibility of prescribing antibiotics that manipulate the microbiome in favor of less infectious strains together this unique researchtoclinic datarich approach will establish the basic foundations for a microbiomebased paradigm of lookahead treatment strategies
comprehensive and personalized assessment of acute coronary syndrome by multiomic approach and artificial intelligence strategy

the cardioscope proposal aims to bring together experts from companies and cademia throughout europe to exchange and expand their expertise on interdisciplinary approaches to enhance the research and innovation capacity of europe in the field of cardiovascular diseases connecting and expanding europewide biobanks and expertise through a comprehensive multiomics approach for the discovery of novel pathological players cardioscope will give deeper insights into acute coronary syndrome acs development and progression towards major adverse cardiovascular events mace we will use welldefined prospective cohorts to discover and validate novel genomic transcriptomic proteomic and metabolomic signatures specific for acs and mace to be combined in multimarker models by machine learningartificial intelligence algorithms enabling more accurate acs diagnosis and mace prediction this excellent research network aims at building scientists competent for the upcoming omics era by training and knowledge transfer specific research skills not available at home institutions will be acquired through individually designed secondment plans training schools webinars and shortterm courses intersectoral activities will improve entrepreneurial skills of consortium staff and facilitate transformation of scientific breakthroughs into commercially available productsservices cardioscope includes experts with a wide clinical and research experience access to patients with acs and the expertise required for achieving set goals worldclass institutions gathered within this consortium from 6 countries 7 academic 4 companies 1 hospital offer specific expertise stateoftheart equipment and adequate human resources to address these challenges in summary the results of this project will transcend our own scientific interests to enable a transfer of knowledge into a multidisciplinary environment and achieving significant impact on acs management and policies in europe
highdensity lithium niobate photonic integrated circuits

translating highspeed electrical signals to the optical domain electrooptic eo modulators are key components of photonic systems on a technological level lithium niobate ln has become a mainstay for such devices offering a unique combination of strong eo activity and chemical stability as well as wideband transparency and the ability to withstand high optical power levels recent advances in thinfilm ln have opened an attractive path towards compact footprint low operation voltage and large bandwidth while maintaining the intrinsic advantages of the underlying material system however there is still a need to further reduce the component size and increase the component density of ln circuits to truly enable large scale photonic integration in volume over the current wafer sizes which are still far from the 200300 mm scale of silicon photonicsit is thus the goal of hdln to establish an internationally unique technology base related to highdensity thinfilm ln technology hdln will demonstrate the viability of the technology platform through a series of demonstrators geared towards highly relevant applications such as ultrafast optical communications and ultrawideband photonicelectronic signal processing hdln brings together a careful selection of experienced partners from academia and industry comprising a recently incorporated startup for the manufacturing platform an independent photonic design and test house and an internationally leading company in the field of communications that validates the technology at the application level
lifeinspired physical feedback coupling in multidimensional hydrogels

towards the new frontier of selfregulated autonomous and adaptive synthetic materials dimension aims to bring a breakthrough by introducing coupled physical feedback loops in multidimensional hydrogels physical feedback mechanisms allow remote powering and interplay with the environmental stimuli and have proven to be instrumental in achieving groundbreaking material functionalities however the stateoftheart physical feedback systems are all limited to single negative feedback loops within a predefined dimensionality inspired by the complex responses regulated by multicomponent coupled feedbacks in biological systems i envisage unprecedented functionalities enabled by the new concept in dimension the grand challenges to construct physical feedback coupling lie in implementing new feedback mechanisms in responsive materials and interfacing different feedback mechanisms to form coupling herein i propose to develop new positive feedback mechanisms based on scattering enhanced absorption in hydrogels supported by my recent discovery which will be interfaced with a negative feedback loop to construct coupled feedback loops dimension will create hydrogel systems fuelled by a constant laser beam and synergy of optical excitation and gels response will result in steady states or robust oscillations of temperature allowing sensing of external stimuli and local enhancement of response the feedback coupling will enable 3 new model systems with multidimensional geometries 1 1d adaptive motility in soft devices 2 2d mechanotraining in bilayer films and 3 3d multidirectional adaptive sensorsdimension will provide new design routes for coupled feedback loops in soft materials across multidimensional geometries the impact of dimension will be farreaching beyond selfregulated and adaptive materials providing implications for embodied intelligence artificial skin humanmachine interfaces and bioinspired actuators
a woodtowood cascade upcycling valorisation approach

the w2w project will produce and validate a comprehensive framework for multidimensional cascade valorisation of wood from cd and furniture waste consisting of four core components 1 advanced separation sorting technologies adaptive separation and sorting system based on cascade valorisation thresholds making use of humanrobot collaboration and mixed reality technologies2 upcycling processes and technologies mechanical chemical and bioremediation processes to recover wood or resources from waste and use them in new products which have the same quality as the ones produced by primary resources3 digital tools for improving circular flows of secondary materials lcabased tool to predict and assess the impact of different cascade paths supply chain management tool for the optimisation of upcycling of secondary materials digital product passport and digital platform for circularityupcycling information exchange4 supportive framework in policy market and skills framework for cdw cascade valorisation harmonised waste wood classification framework skills development contribution to standards and certification schemes business modelsw2w will demonstrate efficient and sustainable value chains in 3 use cases for the production of wood without pollutants biocomposite building materials biopolymers polyols chemical detergents and the recovery of nutrients through the use of technologies and tools that allow the selection of optimal cascade paths for further uses of wood products and their materialsthe w2w holistic approach will reduce the demand for virgin materials reduce the amount of waste that ends up in landfills or incineration facilities allow for the creation of new valueadded products from waste materials and support the transition towards a circular economy by promoting closedloop systems where materials are continually repurposed and reused extending their useful life
aviation zero emissions 2050

decarbonisation of aviation will require strict regulation and monitoring to be aligned with the eu green deal in making the eu the worlds first climate neutral region by 2050 eu regulation is continuously evolving affecting key performance indicators kpis used to measure this ambitious objective the overall goal of this project is to contribute to the decarbonisation of aviation byassessing airline reduction commitments for achieving net zero carbon by 2050applying an interdisciplinary approach the methodology is divided into three stages 1 mapping all the ghg kpis used by european airlines to set up targets and followup measures 2 evaluating the actions taken and planned to reach net zero carbon by european airlines applying a supervised automatic textual analysis to airline esg reports a new source of data not used in the past in the airline industry and 3 simulate via traffic scenarios environmental initiatives and airline commitments to estimate the kpis feasibility using the system dynamic sd method for the timeframes of 2030 2040 and 2050 azeros simulation method is more advanced compared to previous research as it uses real airline emission data and plans they have committed to in the esg reports it will allow for the updating of the model on a yearly basis when new editions of esg reports become available
light induced mechanical and multiphoton phenomena in atomic arrays

atomphoton interactions are one of the most studied interactions in physics these interactions are critical to the realization of several quantum technologies and the investigation of fundamental phenomena in manybody quantum physics yet controlling them at the quantum level in an efficient way is still one of the central challenges in contemporary physics subwavelength atomic arrays are emerging as a novel paradigm to realize efficient atomsphotons interactions they are periodic arrangements of atoms with an interatomic separation smaller than their dipole transition wavelength atomic arrays harness dissipation as a resource improving the control of atomphoton interactions over standard lightmatter interfaces however most of the current theoretical and experimental effort has been devoted to the single excitation response of atomic arrays thus neglecting the role of quantum correlations exploring these effects is timely as several experiments with subwavelength arrays can access this uncharted domain this project aims at investigating the correlated manybody dynamics of subwavelength arrays and at studying their potential application in quantum technologies combining the fellow expertise in optomechanics the us hosts deep knowledge of subwavelength arrays and open systems and the eu hosts mastery of numerical methods for manybody physics the goal of this research proposal is to establish subwavelength atomic arrays as efficient atomphoton interfaces and carefully model their experimental realization with atoms in optical lattices