Dragon09/odtu_chatbot huggingface dataset:
when enzymes join forces unmasking a mitochondrial biosynthetic engine

enzymes have been classically investigated as standalone catalysts operating in a relatively diluted milieu however the cell microcompartments are highly crowded environments and biological catalysis cannot be fully understood on the bases of simple diffusive models we are tackling this challenge by reconstituting a fullscale biosynthetic pathway where multiple enzymes coordinate within a metabolon a structurally defined setting that allows the vectorial transfer of substrates and productsour system for exploration is the fascinating biosynthesis of coenzyme q an essential redox mediator for many pathways the juxtaposition between its highly polar head group and hydrophobic tail renders this compound a challenging feat to handle to synthesise its highly substituted aromatic head group nature has amassed a large soluble supramolecular complex consisting of no less than eight functionally distinct proteins that adheres to the innermitochondrial membrane this infrastructure can extract the substrate whilst providing a shielded hydrophobic environment for molecular transitwe will systematically characterize the functional structural and evolutionary aspects of the involved protein machineries in interplay with the membrane our approach starts by exploiting ancestral sequence reconstruction to generate proteins of enhanced stability we will build the metabolon in vitro to assess how the enzymatic activities are coupled in the context of a metabolon structural studies will reveal how the active sites are spatially organized with respect to the order of the enzymatic steps and substrate trafficking our integrated strategy will unveil the pivotal evolutionary transitions that create a biosynthetic machinery this research will go beyond classical enzymology by exploring a new paradigm of cellular biochemistry where metabolic pathways are fuelled and governed through interactions between enzymes and between enzymes and other proteins
causation assessing causal relationships in macroevolution

throughout earths history a myriad of factors has driven biodiversity patterns during the lifespan of lineages biotic and abiotic variables might act differently in shaping the diversification dynamics of organisms therefore identifying and quantifying their relative importance is crucial for a better understanding of past and current biodiversity patterns this is particularly relevant for complex systems involving multiple functional groups spread through different trophic levels eg the system composed of browsing and grazing animals and the plants they consume the dynamics of the whole system can be affected not only by the biological components but also by environmental factors recently new methods have been proposed to directly address causal associations between time series based on dynamic systems theory which represents an advancement in relation to traditional correlationbased approaches this proposal will assess the causal associations between the diversity of each component of the plantherbivore system to have a better understanding of the mechanisms involved in the regulation of biodiversity in macroevolutionary timescales using the empirical dynamic modelling edm approach which is a nonparametric approach specifically designed to address causality in time series i will test the performance of this approach when using simulated and empirical macroevolutionary time series applying it to the diversity time series of the components of the plantherbivore system this project will produce a critical examination of the performance of the edm approach in this context as well as produce direct information on the causal associations between the diversity of different groups and the influence of environmental variables on the dynamics of the whole system
stable polariton lidar

in the realm of advanced optical systems particularly within the emerging field of light detection and ranging lidar technology which are pivotal for 3d sensing applications across various sectors a significant commercial challenge emerges from the inherent limitations posed by optical interference in thinfilm filters the core of this challenge lies in the phenomenon known as angular dispersion a fundamental constraint of interferencebased structures in thinfilm filter design angular dispersion refers to the shift in transmission wavelength of optical filters as the angle of incidence changes typically resulting in a pronounced blueshift this effect while intrinsic to the operation of optical interference undermines the performance of lidar systems by requiring the filters to have sufficiently broad pass bands to accommodate the angular shift the splidar initiative is set to revolutionize the landscape of photonic applications by introducing a groundbreaking approach that transcends the traditional constraints of angular dispersion this approach harnesses the quantum optical phenomenon of merging light and matter states to create angleindependent transmissive filters referred to as polariton filters here this project is poised to redefine of optical filtering and sensing by introducing a novel class of spectrally sharp and angleindependent transmission filters thereby overcoming the fundamental limitations of angular dispersion in conventional optical devices the splidar project will leverage the teams profound expertise in thinfilm optics including transfer matrix and fdtd calculations and structure design optimization along with a deep understanding of organic absorber properties and a wealth of experience in optoelectronics
advanced synergies for pilot demonstration towards industrial innovation in widening countries

demosaxia will offer a coherent package of actions in terms of strategy development innovation training and outreach activities overall demosaxia aims to improve the highadded value productsservices available in southeast and southwest europe a project like demosaxia can maximize the added value and impact of projects imoco4e and grapheye including their platforms networks associations and other initiatives consisting of identifying and leveraging the resources and creating new sources of value that form the base for building synergy connections and actions that are going to be developed between the demosaxia consortium and similar or related projects or initiatives will add value to the results generated already by previous or ongoing projects the synergies will help in spreading the projects results to a broader audience but also to learn from other projects findings interaction and exploitation of synergies with other projects and initiatives will be exploited to increase the outreach of potential stakeholders by organize joint events exchange knowledge experience and best practices and stimulate discussions among key players
breaking frontiers of eddy current testing simulations through discrete de rham methods

eddy current testing ect is an industrial procedure used to assess the reliability of the most critical facilities of nuclear power plants prior to practical usage ect requires a delicate phase of calibration and validation via numerical simulations however in the current stateoftheart they are limited by two critical issues the poor precision of the results and the limited geometrical modeling flexibility this project will use the recently introduced discrete de rham ddr simulation method to overcome at once both these issues focusing on three specific aims laying the mathematical foundations of ddr methods for ect simulation building the practical computational tools to implement this method in a simulator and using the simulator on reallife ect scenarios the project has a strong multidisciplinary nature involving a combination of numerical analysis and engineering and its originality and innovation lie on this interdisciplinary approach the mathematical analysis of ddr methods for ect is a complete novelty and represents a mine of mathematical problems in numerical analysis the development of the effect simulation opensource will require both the transfer of the candidates engineering knowledge to the host institution and the training of the candidate on the very specific ddr mathematical methods the project will thus make the candidate able to speak to different communities improving his career prospects as an independent researcher the planned communication activities of the project will target people both inside and outside academia helping the latter to appreciate the effectiveness of the interaction between fundamental mathematical research and engineering in solving reallife problems the arising results have the potential to increase the safety and efficiency of nuclear power plants and open new horizons in fundamental and applied level of numerical analysis of ddr methods as well as other cuttingedge simulation methods
glassceramic innovation ecosystem for implementation of new research directions in applications

productivity competitiveness and economic growth stem from innovation and are vital in collaborative research projects however given the heterogeneity of economic and industrial frameworks between northwestern europe and southeastern europe open calls for european funded research projects often exacerbate the knowledge gap between more and less developed regions this in turn limits the economic impact of this funding on areas that often need it the mostczechia and slovakia have been growing their gross domestic expenditure on rd almost doubling it since 2005 however this growth does not directly equal innovation with patent applications per million of the population not reaching 15 of the eu benchmarkthe glacerhub project will strive to support the virtuous innovation and economic cycle by capitalizing on the presentday competitive advantage of the advanced glass and ceramics industry to create a placebased innovation ecosystem in the border region between south moravia czechia and trenn slovakia a region with long tradition in these areasthe glacerhub consortium will create a dynamic specialist innovation ecosystem for the advanced glass and ceramics sector by stimulating new synergies between industry academia government society and other european innovation ecosystems in the long term glacerhub will become a selfsustaining entity supporting the creation development piloting and protection of strategic technologies training of all stakeholders from the quadruple helix and creating and supporting technology transferthe long term impact will be to increase investment in glass and ceramics rd ip protection and patent applications spinoff creation intersectoral phds and international phds licensing transactions national regional and european recognition of glacerhub as a centre of excellence
sustainable training of code language models through data refinement

large language models llms have gained widespread attention and user adoption these models when trained on source code from platforms like github acquire a deep understanding of both the semantic and syntactic structures of code ie code language models or clms this understanding has paved the way for significant advancements in software engineering offering developers valuable assistance in laborintensive tasks like bug fixing and code writing while clms offer tremendous assistance in software engineering tasks their massive data requirements result in substantial energy consumption and co2 emissionsthis proposal challenges the conventional wisdom that more data is better and instead advocates for a refined approach to data in the training of clms we propose that by intentionally decreasing training data volume while simultaneously enhancing data quality through data refinement techniques we can reduce energy consumption while maintaining or even improving performance on software engineering tasks the condense project represents a pioneering effort to advance sustainable training practices for clms unlike existing methods which are often nonsystematic or limited to natural languages condense promises a comprehensive approach to achieve sustainability via data refinement for clmsthis initiative is wellaligned with the eu green deal initiative and un sustainable development goals and the increasing attention for llms and clms means that now is the right time to address their sustainability the proposals potential for success is further strengthened by the host institutions international standing providing a wide range of collaborative opportunities as well as by the complementary expertise of the applicant and supervisor spanning the fields of software engineering machine learning dataset creation and language model application
r4r reproducible data analyses for all

unevaluated science is not worth funding gone are the days where a scientific breakthrough could be based on scribbles made on a few loose sheets of paper reviewed by a single attentive reader most disciplines rely on experimental data that is collected analyzed and presented using powerful computational tools the scientific adventure hinges on our ability to openly and widely share and reproduce such resultsthe goal of this poc is to market a tool r4r for nonprogrammer scientists to make their archival work easily reproducible and offer it to them through a nonexpensive licence affordable reproducibility is key to independent evaluation of previously published resultswe will focus on reproducibility of data analysis pipelines written in r with rmarkdown or jupyter creating a reproducible environment is hard laborintensive and errorprone and requires expertise that data analysts lack we propose to use dynamic program analysis techniques to track dependencies data inputs and other sources of nondeterminism needed for reproducibility r4r will synthesize metadata to generate selfcontained portable fully reproducible environments based on docker images
the role of animals in the arab agricultural revolution in alsiqilliyya the introduction of new sheep husbandry practices and breeds and the spread of arab culture into medieval sicily

animal husbandry has been a core productive area of the european economy since the introduction of domestic animals during the neolithic in todays geopolitical scenario past husbandry regimes can provide essential insights into improving the resilience of animal production adapting to local resource availability while maximising yields the research context of this project is medieval sicily located in the centre of the mediterranean sicily has always been a melting pot of different cultures the clear affirmation of byzantine arab and normanswabian rules during the middle ages entailed the development of distinct sociocultural and economic models each influenced by and adapted from previous practices this makes sicily a primary casestudy for the understanding of the integration of different cultures and the impact of different politicoeconomic systems between the 7th and the 13th c ad the mediterranean basin witnessed an important transformation in landscape use and its management defined in the 1970s as the arab agricultural revolution this concept has been revised and nuanced since and it was probably a more gradual process than initially thought in contrast to other materials animal bones and teeth have been overlooked despite they provide direct evidence of dietary habits landscape management strategies and economic dynamics of the past preliminary research suggests that the arabs managed to produce bigger animals and thus higher meat yields across the mediterranean but how for the first time agras will develop a multidisciplinary research combining traditional archaeozoology collagen fingerprinting zooms isotopes oxygen strontium carbon and nitrogen dental meso and microwear to understand the reasons enabling arabs to produce higher meat yields in a context of demographic increase and competition for resources on a european scale
flexible perovskite solar cells with carbon electrodes

several advantages arise from the incorporation of carbon electrode in the perovskite solar cell psc architecture such as reduced material cost improved device stability and simplified device fabrication process as well as lower emissions thus the primary objective of pearl is to realize flexible perovskite solar cells processed with industrially viable scalable and environmentally sound methods showing long term operational stability surpassing the iec standards efficiency of 25 lowered production costs below 03 eurwp and minimal emissions 001 kg co2eqkwh to reach these objectives pearl is focusing on the development of planar conventional nip and further nic device architectures utilizing lowtemperature carbon pastes as the top electrodes aiming to the emerging markets of building integrated photovoltaics bipv vehicle integrated photovoltaics vipv and internet of things iot
machine learning methods for excitedstate dynamics simulations in lightinduced spincrossover complexes

spin crossover complexes are bistable transitionmetal compounds in which light or other external simuli is used to induce a change in the magnetic state of the system allowing them to be employed as molecular switches in future spintronics and photonics technologies despite the rapid development of experimental techniques to characterise these complexes computational material science is not yet able to provide a quantitative description of the lightinduced spin crossover mechanism these limitations are mainly due to the need for enormous computational resources to perform accurate excitedstate dynamics simulations in mediumsized transitionmetal complexes the aim of the scoml project is to provide the proof of concept for a new machine learningbased strategy that will enable efficient and accurate simulations of the lightinduced spincrossover mechanism thus paving the way for a systematic design of new materials achieving this goal has the potential to revolutionise the production of new technological solutions to guide europe towards a digital and green transition
when parental support backfires on adolescents

onethird of adolescents 1218 experience emotional problems such as anxiety and depression this leads to enormous personal impact which often continues a lifetime support from parents is a protective factor that can increase the wellbeing of adolescents and reduce depression and anxiety however defying this currently held view concerns are growing that support backfires in some families the parental support paradox no matter how wellintended and wellreceived in the short run oversupportive parenting can undermine opportunities for personal growth this weakens longterm wellbeing who support backfires for and what the mechanisms are is unknown because psychologists have lacked the data and analytical tools to study how parenting predicts wellbeing in individual family units developing familyspecific methods to theorize the shortterm and longterm effects of parenting my team and i will conduct one of the largest and most intensive studies of parental support and wellbeing 300 dutch families with a child aged 12 to 16 will complete smartphonebased microsurveys to capture parentchild interactions in daily life families are followed for three years with seven followup surveys as ultimate proof of theorized familyspecific dynamics we will test in an experiment 2 x n100 if feedback on their reallife data strengthens parenting and improves child wellbeing impact now that we can study each familys unique daily dynamics paradox will generate an entirely new familyspecific theoretical model of parental support explaining for whom and through which mechanisms support backfires we will also target these dynamics with prevention to transform support from a potential cause of emotional problems to a protective factor the project will develop new concepts for personalized parenting advice for this purpose moreover we will deliver a toolbox of methods to study familyspecific dynamics which is disseminated across d
learning digital humans in motion

we are taking part in a revolution of how people perceive each other and how they communicate in the digital space emerging technologies demonstrate how humans can be digitized such that their digital doubles digital humans can be viewed in mixed or virtual reality applications especially for immersive telepresence these 3d digital humans are of high interest since people can see each other in augmented ar or virtual reality vr and can interact with each other for an immersive experience this requires a highquality level of appearance reproduction as well as the estimation of subtle motions of the human besides quality aspects digital humans need to be reconstructed and driven by consumergrade hardware solutions eg a webcam to enable a wide applicability of digital humans for immersive telecommunication virtual mirrors ecommerce or other entertainment purposes eg computer games in this proposal we concentrate on the computer vision and graphics aspects of capturing and rendering realizing motions and appearances of photorealistic digital humans reconstructed with commodity hardware and ask the questioncan we leverage natural language for the reconstruction representation and modelling of the appearance motion and interactions of digital humansas the face and gestures play an important role during conversations we focus our research on the upper body of the human aiming at capturing and synthesizing complete contactrich digital humans with lifelike motions we will analyze how humans move and will develop datadriven motion synthesis methods that learn how to generate talking and listening motion with interactions of the hand with the face
welcome to the age of frictionless mobility

magrail will bring frictionless mobility levitating trains to conventional tracks our system upgrades a conventional railway line with magrail infrastructure components linear motor and levitation beams supplemented by signaling and traffic control system and vehicle components eg bogieas a result magrail allows for interoperability of conventional and magnetic trains on the same track which makes the system unique retrofitting conventional railway lines speeds up to 160 kph or highspeed railway lines 330 kph infrastructure into magrail will allow to substantially increase the speeds to up to 330 and 550 kph respectively which will bring massive savings in time and moneymagrail will radically increase the capacity and flexibility of railway lines bringing more goods and passengers to railways supporting a real modal shift from road air and sea to rail making zeroemissions goals and sustainability targets more achievable