Dragon09/odtu_chatbot huggingface dataset:
outwitting the enemy do invasive snakes and local lizards engage in a cognitive arms race

cognition is often assumed to be beneficial as it allows individuals to adjust to all kind of environmental challenges however which exact environmental challenges drive the evolution of animal cognition remains an open question predation is often raised as an important driver of cognitive evolution because animals that can improve their antipredator behaviour through learning may survive better especially in dangerous environments how environmental predation risk influences prey cognition is however only scarcely studied with conflicting results here i plan to make use of an unique opportunity to investigate the role of predation in cognitive evolution i will examine how changes in predation pressure caused by an invasion of alien snakes into the island of ibiza affect the cognition of endemic lizards i will test how predation risk affects cognitive variation among and within populations of prey and specifically the tradeoff between learning speed versus accuracy ie cognitive style an understudied aspect of cognition in this context another gap in our knowledge is how exactly cognitive abilities help individuals to avoid being predated and hence as a second goal i will test whether individuals cognitive performance and style relate to their ability to recognize and respond to predators finally one aspect that has rarely been taken into consideration in the past is how the cognitive abilities of the predator itself affect prey cognition and vice versa as a final goal i will test the exciting unexplored hypothesis of a cognitive arms race between predator and prey in addition this project will also integrate neuroscience with cognitive ecology and delve deeper into the genetic and neural mechanisms underlying cognitive changes in prey and predator
innovative methodology for battery testing

acceleration of growth of the battery sector is primordial in decarbonizing our economy as batteries play a vital role not only in making our mobility sustainable but also in increasing the uptake of renewable energies growth and particularly innovation in this sector are predominantly hindered by costly and timeconsuming test protocols and methods that require large number of samples and sophisticated infrastructure a battery concept generated in 2023 may at best reach the production stage in 2032 as performance ageing and safety characteristics of the design must be assessed through a lengthy trialanderror based physical testing thor aims to shorten this timeframe diminish the number of physical tests and nurture innovation in battery conception by developing a virtual tool a digital twin that simulates battery behavior the project will target mobility and stationary applications and will focus on commonly used battery chemistries representing 60 market share before 2030 through an interdisciplinary approach involving experimentalists and modeling experts 3 independent physicsbased models for performance lifetime and safety will be developed the 3 models will then be combined and optimized using ai based approach to form a holistic digital twin of cell module and pack the digital twin will be accessible to the endusers through an efficient userfriendly interface thors consortium covering the entire battery value chain will ensure that the project responds to the needs of battery industries 4 industrial partners including cell battery manufacturers and endusers while enriching knowledge of the research community 3 research and technical organizations in addition the consortium aims to answer two requirements of the battery community data harmonization and standardization of methodologies through the project easeofuse costeffectiveness rapidity and adaptability of the digital twin will be demonstrated by endusers
linking language to psychological wellbeing in immigrant communities

the critical challenges posed by the growing migratory movements in terms of linguistic and cultural collisions raise the need to deeper understand the acculturation processes faced by groups of migrants while settling in a new social and cultural context these may encompass certain levels of acculturative stress which have an impact on migrants psychological wellbeing and are reflected among other things in the linguistic outcomes of migration previous studies demonstrated a positive link between bilingualism and higher wellbeing levels though only considering selfassessed language competence and use lacking empirical support from real communicative interactions thus the lincare project aims to establish whether specific language contact phenomena found in interaction and typical in migration contexts can serve as a reliable tool to assess levels of wellbeing in immigrant groups by investigating their relation with cultural and sociopsychological aspects through advanced multivariate analysis techniques it also seeks to explore whether bilingual practices positively correlate with higher levels of wellbeing in so doing the project will bridge gaps in existing linguistic cultural and psychological research and create an integrated framework it will contribute to inform policymakers about the multifaceted consequences of migration and possible stress factors affecting migrants during settlement and in turn society at large therefore as the united nations and european union strive to reduce inequality promote multilingualism and protect minority rights and cultural heritage this project will also contribute to these global challenges moreover working on this project at tilburg university will enhance my expertise in linguistic analysis and provide me with additional knowledge of the cultural and psychological aspects related to migration this transfer of knowledge will foster research and innovation on these topics
enabling interlaminar fracture testing of multidirectional composite laminates for safe and efficient structures

this project aims at solving longstanding problems affecting the characterisation of interlaminar properties of highperformance fibre reinforced polymer matrix composites for these materials interlaminar fracture known as delamination represents one of the most critical damage mechanisms standard procedures to characterise interlaminar fracture toughness exist but their scope is restricted to use with unidirectional specimens in which delamination is propagated along the fibre direction on the other hand real components and structures are made using multidirecitonal laminates where delamination may appear at any interface and propagate in any direction under such condition interlaminar fracture toughness may be different from that obtained in standard tests this results in uncertainties in structural design and thus to oversized inefficient structures until now problems caused by elastic couplings residual thermal stresses and delamination migration have prevented an effective interlaminar characterisation for multidirectional laminates recently however a new class of delamination specimens fullyuncoupled multidirectional fumd eliminating elastic couplings and reducing problems related to residual stresses has been proposed also new insight on the migration phenomenon has emerged these developments open new possibilities this project will combine the experience of the participating organisations on delamination migration and that of the researcher on fumd specimens to explore these possibilities and achieve for the first time an effective problemfree characterisation of interlaminar fracture in multidirectional laminates possibly this will contribute towards the creation of standard procedures with an impact on the composite industry on a global scale lightwight structural design practices will benefit from this contributing toward a more efficient safe and environmentally friendly transportation sector
open superior efficient solar atmosphere model extension

the goal is to develop a time evolving model for the entire solar atmosphere including the chromosphere and transition region based on a multifluid description at present models are steady rely on a singlefluid description and include only the corona due to computational challenges we plan to use timeevolving ionneutral and ionneutralelectron models the multifluid approach will enable us to describe the intricate physics in the partially ionized chromosphere and quantize the transfer of momentum and energy between the atmospheric layers the questions where the solar wind originates and solar flares and coronal mass ejections are driven have both fundamental scientific importance and substantial socioeconomic impact indeed the solar atmospheric model is the crucial missing link in the suntoearth model chain to predict the arrival and impact of cmes at earthwhat makes this goal now possible is the combination of our implicit solver with a highorder fluxreconstruction fr method the implicit solver avoids the numerical instabilities that lead to strict time step limitations on explicit schemes the highorder fr method enables highfidelity simulations on very coarse grids even in zones of high gradients we will start from this new development and introduce three critical innovations first we will combine highorder fr with physicsbased radaptive moving unstructured grids redistributing grid points to regions with high gradients second we will implement cpugpu algorithms for the new heterogeneous supercomputers advanced by hpceuropa third we will implement ai generated magnetograms to make the model respond to the timevarying photospheric magnetic field which is crucial for understanding important propertieswe will thus develop a firstinitskind highorder gpuenabled 3d timeaccurate solver for multifluid plasmas if successful we will have the most advanced solar atmosphere model implemented in an operational environment
gain environmental efficiency by saving energy

geese will develop with sesar the introduction of wake energy retrieval wer operations within europetwo solutions will be developed in geese and a transversal wake science work packagethe first one is enable europe to north atlantic wer operations this solution will continue developing and refining the initial concept of operation conops its safety assessment analyse impacts on legacy systems and develop simulations and trials to assess assumptions ansps partners together with eurocontrol airlines will particularly develop the pairing collaborative decision making cdm between airlines operational centres network manager and air traffic controllers simulations will help consolidate the conops as well as trials will demonstrate the feasibility to develop the pairing cdm and test it in real condition with passenger airlines safety and regulatory aspects will be addressed as well as the economic benefits with a cba costs benefits analysis trl6 is targettedthe second solution is scaling up the wer concept to continental europe this solution will provide operational solutions for the extension of wake energy retrieval operations within european domestic airspace traffic flows from europe to asia from europe to the middle east and from europe to africa are particularly interesting for wer application conops definition and assessment with simulations with ansps atc system providers network manager and airlines expertise will be conducted trl4 will be reachedas an enabler to operations a wake science work package will investigate transversal sciencebased aspects of operations such as nonco2 potential benefits of formations in addition to better known co2 benefits and as well better understanding of the vortex behind the pair to support regulatory separation
next generation of aipowered robotics for agile production

agimus aims to deliver an opensource breakthrough innovation in aipowered agile production introducing solutions that push the limits of perception planning and control in robotics enabling generalpurpose robots to be quick to setup autonomous and to easily adapt to changes in the manufacturing process to achieve such agile production agimus leverages on cuttingedge technologies and goes beyond the stateoftheart to equip current mobile manipulators with a combination of i an advanced task and motion planner that can learn from online available video demonstrations ii optimal control policies obtained from advances in reinforcement learning based on efficient differentiable physics simulations of the manufacturing process as well as iii advanced perception algorithms able to handle objects and situations unseen during initial training along the way optimization of energy efficiency and the use of 5g technology will support further pushing the limits of autonomy the agimus solutions and their impact will be demonstrated and thoroughly stresstested in 3 testing zones as well as 3 industrial pilots in europe under numerous diverse realworld case studies and scenarios different tools environments processes etc in every step and from the very beginning agimus will go beyond current norms and involve a wide range of stakeholders starting from the production line itself to identify the essential ethicalbydesign principles and guidelines that can maximise acceptance and impact
improvement of the quality and safety of fermented beverages through the management and control of spoilage microorganisms

spoilcontrol will train the next generation of polyvalent researchers in the field of sustainable fermentation technologies able to meet current and future challenges created by microbial spoilage and improve the quality safety of fermented beverageseurope is the historical leader of fermented drinks whose competitiveness is intensively challenged microbial spoilage in fermented food is a growing concern from a financial viewpoint economic losses and from a health perspective increasing presence of pathogens particularly in improperly homemade or artisanal productions such quality safety issues are amplified by societal and environmental changes the consumer trend toward lowinput products sustainable practices smallscale productions and climate changes are associated with increased risks of microbial spoilage in addition the fermentation sector cruelly lacks a global framework training between beverages resulting in efforts duplication investments partitioningspoilcontrol will unfold an original strategy based on multiple beverages wine spirits beer cider kombucha kefir multiple disciplines from environmental life sciences to engineering or economics multiple solutions development of sustainable biological chemical and physical treatments the consortium covers the whole fermentation chain from fermentation to glass with 34 partners including universities smes large companies innovation cluster startup analysis laboratories technical institutes and homebrewers groupspoilcontrol will have multiple impacts at the scientific level the study of nonconventional microbial species will be useful besides the fermentation sector at the societal level spoilcontrol will improve public awareness of safety issues in fermented food and promote best practices for all endusers industrials consumers the development of innovative solutions and treatments will have immediate and longterm economic impact
telluriumfree thermoelectric technology for nearroomtemperature applications

thermoelectric te technology whereby heat is converted to electrical power and vice versa holds great potential for cooling and power generation in many applications because its unique solidstate nature enables te devices to be free from emissions and maintenance thus providing extraordinary reliability realizing this potential requires developing modules that have high performance at around room temperature 70 c to 300 c currently almost all commercial modules are based on bismuth telluride bi2te3 because of their until now unparalleled performance however bi2te3 cannot meet the rapidly increasing demand of te technology because tellurium te is very scarce with the earths crust having a concentration of 0001 ppm therefore it is vital to develop a nextgeneration technology to mitigate the potential bottleneck in raw materials supply for a sustainable future here i propose to develop on mgbased compounds a new te paradigm completely free from te with groundbreaking performances that transcend the record of stateoftheart soa bi2te3 to that end i will bring together interdisciplinary knowhow with unique technical capabilities to enable a fullchain development to 1 innovate synthesis methods to produce superior materials 2 establish contact materials and methods to optimize te modules 3 develop methods for scaleup production of materials and module sizes 4 enhance and secure the modules robustness 5 assemble device prototypes use the obtained modules i aim to realize conversion efficiency of 12 in the temperature range from 30 c to 300 c soa is 36 and cooling t of 90 c soa is 7075 c these proofofprinciple demonstrations will pave the way for largescale highperformance robust and sustainable solidstate power generation and cooling for numerous applications ranging from geothermal power generation to coldchain boxes for medical storage and transportation including mrna vaccines
justice in the xxi century a perspective from latin america

justla is a consortium of 7 eu universities and 11 latin american academic institutions a carefully built network of scholars from these organizations concentrates on new lines of research in political theory that promise to challenge the dominant liberal paradigm of justice in particular the project starts from recent studies on the relation between democracy and economic inequality cultural identities gender race and decolonization the role of science in politics in the posttruth era and climate justice it engages latin american institutions because there we find the most advanced developments of these lines of research and because the latin american social economic and political realities are a privileged point of observation from which further developments in these lines of research can be achieved coping with a shared belief that justice cannot be defined by philosophy in isolation the consortium is composed of leading european and latin american scholars belonging to political philosophy and various other disciplines in the social sciences a substantial number of early stage researchers are also engaged in a group that jointly promises to enlarge the competence of european and latin american researchers the consortium aims to consolidate and expand preexisting cooperation and knowledge sharing among european and latin american academic institutions and to build institutional ties meant to outlive the project
developing highvalue aerospace alloys through waste valorisation

establishing a sustainable supply chain for raw materials is a must for creating an industrial ecosystem aligned with the goals of the european green deal which emphasizes energy conservation and reducing environmental costs in primary production elements such as al si mg ce la eu y and tb have been included in the eus strategic andor critical material lists due to their economic significance and high supply risk the recycling rate of these strategic andor critical materials is low because supplied scrap and endoflife eol products such as zorba scrap solar cells light metal scrapschips sikerf glass polishing powders and fluorescent lamp waste contain a mixture of various metals estimations show that the amount of al scrap will rise to approximately 125000 metric tons per year by 2035 and 246000 metric tons per year by 2050 additionally projections anticipate that endoflife eol solar panels will amount to 17 to 8 million tons by 2030 with this growth expected to increase to 60 to 77 million tons by 2050 however the complex structures of scrapseol products containing a wide range of elements pose significant challenges for the recycling process of these metals waste2space aims to develop a holistic recycling process for mixed scrapseol products ensuring the mix to be a benefit rather than an obstacle a straightforward and costeffective approach to utilizing mixed scraps and eol products will be developed with the aim of producing ccas for the aerospace and automotive industries
dynamic resource scheduling in massive mimo based noma with rf imperfections and energy harvesting for 6g networks

yahya6g aims to propose new signal processing solutions doped with machinelearning we will focus on the detectionand compensation of rf imperfections in mmimo massive multiple input multiple output based noma nonorthogonal multipleaccess pair in other hand yahya6g target is to minimize the longterm power consumption based on the stochastic optimization theory for mmimonoma iot networks with eh energy harvesting in presence of rf imperfections thus the objectives of the yahya6g project are1 identify major rf imperfections that may occur in a multiaccess multiantenna broadband system2 propose new solutions to optimize the energy efficiency at the rf transmitters this solution will focus on the power amplifier that represents 60 at 70 of the energy consumed in an rf transmitter3 analyze the impact of these rf imperfections on mobile radio systems exploiting noma technologies4 propose a deep learning online learning process to detect the noma channel characteristics and compensate the effect of hpa nonlinearity a joint detection of the noma interference and hpa high power amplifier nonlinearity will be studiedin mmimonoma system5 resolve a non convex based problem coping with the expected 6g requirements with a particular focus on optimal resource scheduling and computation capacity allocation and reducing energy consumption of wireless devices through a set of new algorithms 6 realize a demonstrator based on the sdr software defined radio usrp cards on which some algorithms developed inthe project will be implemented
secustack securing the leaky hardwaresoftware boundary

problem sidechannel leaks via timing cache and speculation can expose sensitive information across traditional isolation barriers putting our data at risk unfortunately despite decadeslong attempts to eliminate these leaks new attacks are discovered by the day fundamentally this is due to the following mismatch todays hardware is extremely complicated because of its myriad fast paths and performance optimizations yet we reason about it based on coarse implicit and inaccurate models this divide between model and reality results in leaks and inefficient systems that fail to keep our data safe aim secustack wants to put an end to this seemingly endless cycle of new attacks and defenses through a radically new approach based on the following insight to effectively secure computer systems against sidechannel leaks we need to know when the hardware leaks at the level of gates flipflops and wires approach secustack will leverage this insight via the following four research tasks first the secustack team will automatically construct perprocessor groundtruth leakage models at the hardware level t1 next we will use those models to describe leakage at the assembly isa level t2 which in turn will allow us to synthesize provably correct software defenses t3 these steps build on research breakthroughs from my recent work to remain feasible for a small team in a fiveyear timeframe secustack will not target legacy toolchains but instead aim for a breakthrough in a tightly controlled setting based on opensource riscv processors and a custom compilation toolchain finally we will demonstrate immediate practical impact by implementing two challenging case studies a silicon root of trust and an enclave monitor t4 impact if successful this ambitious effort will yield the first provably secure endtoend timing cache and speculation safe systems and pave the way towards secure infrastructure for the future