Dragon09/odtu_chatbot huggingface dataset:
powering eu net zero future by escalating zero emission hdvs and logistic intelligence

heavyduty vehicles account for about 25 of eu road transport co2 emissions and about 6 of total eu emissions in line with the paris agreement and green deal targets regulation eu 20191242 setting co2 emission standards for hdvs from august 14 2019 forces the transition to a seamless integration of zeroemission vehicles into fleets in line with the european 2050 goals escalate aims to demonstrate highefficiency zhdv powertrains up to 10 increase for longhaul applications that will provide a range of 800 km without refuelingrecharging and cover at least 500 km average daily operation 6 months in real conditions escalate will achieve this by following modularity and scalability approach starting from the level of hardware and software innovations and aiming to reach the level in the first sprint and eventually the level at the project end through its 2 sprintvcycle escalate is built on the novel concepts around 3 main innovation areas which are i standardized welldesigned cost effective modular and scalable multipowertrain components ii fast fueling gridfriendly charging solutions and iii digital twin dt aibased management tools considering capacity availability speed and nature of the charging infrastructures as well as the fleet structures throughout the project lifetime 5 pilots 5 dts and 5 case studies on tco with the target of 10 reduction together with their environmental performance via transensuslca will be performed the ultimate goal is to develop welldesigned modular building blocks with a trl78 based on business model innovations used for 3 types of zhdvs bhdvfhdvrhdv furthermore 3 white papers will be produced one of which will contribute defining the pathway for reducing welltowheel ghg emissions from hdvs based on results and policy assessments
climate change and human immobility the role of compound and cascading risks

the 2crisk project is the first to comprehensively analyze the interrelated effects of compound and cascading climatic and nonclimatic risks on human mobility worldwide and to pioneer the empirical assessment and quantification of climaterelated immobility climate change can have major implications for human mobility through its impacts on security livelihoods health and wellbeing potentially leading to increased displacement and migration at the same time not everyone affected decides to move and climatic risks and related impacts can also lead to heightened immobility patterns in immobility are crucially shaped by a range of drivers and moderators influencing who becomes mobile when and why while the multicausal nature of climaterelated immobility has been recognized there are considerable gaps in the understanding of how climatic risks interact with other compound drivers and risks in influencing mobility outcomes considering risks in isolation may miss crucial interdependencies between different risk types and related impacts over time and space exploring these interdependencies can fill in the missing links as to when and why households become mobile under climatic stress and when and why they decide or are forced to stay put despite difficult circumstances to this end the 2crisk project 1 provides novel estimates of the effects of compound and cascading climatic and nonclimatic risks and impacts on mobility outcomes 2 advances empirical research on climaterelated immobility and 3 employs innovative nowcasting and projection methods to explore potential changes in mobility in the short and long term by laying novel foundations for understanding the conditions under which climaterelated immobility occurs and by identifying populations in situations of heightened distress the 2crisk project will contribute to more informed policies aimed at safeguarding the wellbeing of populations in a changing climate
hydrogen storage and transport using ammonia

hydrogen is an important factor in the eu quest to drastically reduce ghg emissions and curb its use of fossil fuels the storage and transport of hydrogen however faces important challenges which hinder its broad application as an alternative and zero emission fuel storage of hydrogen as a gas typically requires highpressure tanks up to 700 bar tank pressure storage of hydrogen as a liquid requires cryogenic temperatures because the boiling point of hydrogen at one atmosphere pressure is 253c therefore for several applications ammonia rises as a rather prominent vector if it can be produced efficiently the production is traditionally bound by the constraints of thermodynamics which require high synthesis pressures as well as temperatures thus nh3 is produced centralisedlargescaled hystram builds on developing physical h2 storage materials enabling short term storage buffering renewables dynamics as well as the 3 structural corner stones of flexible low pressure nh3 decreased ru content catalysts high temperature nh3 sorbents and inductionheated support granting optimal responsiveness the project will demonstrate a compact containerised ammonia synthesis system which is based on two main consecutive stages1 a shortterm storage hydrogen vessel which will serve as a buffer to store and transport the hydrogen produced by electrolysis within the hydrogen vessel new ultraporous material will be identified and optimised through machine learning technology 2 an ammonia synthesis reactor based on an improved the haberbosch process where the stored hydrogen will react with nitrogen to form ammonia using the novel catalysts and sorbents developed in hystram
cohomology geometry explicit number theory

the aim of cogent is to develop analyze and apply efficient algorithms in three core areas where computer algebra plays an important role cohomology geometry and explicit number theory these will have applications to a broad range of mathematical problems and will touch as well upon related topics like cryptography and quantum computing such applications of mathematics are expected to have a wideranging impact on economic and societal problems recent years have seen a plethora of highflying projects and a dazzling variety of applications of methods in computer algebra one of the emerging challenges is to combine ideas of different areas of computer algebra to share expertise between them and to educate young researchers in theoretical and practical methods with a focus of transferring knowledge and training software development skills cogent provides an innovative training program to facilitate this and has ambition to stimulate interdisciplinary knowledge exchange between number theorists algebraists geometers computer scientists and industrial actors facing reallife challenges in symbolic computation in order to bridge key knowledge gaps this will address the urgent need for computer assisted investigations of several longstanding conjectures in mathematics and eu industrys need for workers with an advanced mathematical and computational skill set not only do we expect to merge the best known tools for these purposes with innovative approaches and ideas to extract previously inaccessible cohomological information of the underlying arithmetic groups but we also anticipate finding new hitherto unknown concepts as we intend to enhance the currently available data pool by a whole order of magnitude the latter will allow the researchers to find hidden patterns with the ambition to form a solid basis for formulating novel cornerstone conjectures ideally in the spirit of the famous milliondollar birch and swinnertondyer conjecture
the role of animalmicrobe interactions in the early evolution of animal social life

animal social life is widespread and highly diverse and has been heavily scrutinized due to its crucial impact on the diversity and complexity of life on earth however a key ecological driver of social life remains poorly understood interactions with microbes traditionally viewed as an obstacle to social life microbes are increasingly recognized for the benefits they can provide to their host and a growing number of studies shows that interactions with microbes can shape key aspects of animal social life from collective defenses to communication and social nutrition however this research mostly focuses on advanced social systems and typically examines effects of and on specific microbes with limited detail as a result major questions regarding the interplay of animalmicrobe interactions and animal social behaviors and its role in the origin and early evolution of animal social life remain unresolvedthe research proposed here tackles these knowledge gaps by studying the role of animalmicrobe interactions during the social life of nicrophorus burying beetles these beetles breed on carcasses of small vertebrates and are uniquely suited to take on this challenge they exhibit a facultative ancestral form of family life that heavily depends on interactions with symbiotic and environmental microbes and parental care the core social behavior of family life is crucial to managing those interactions using methods from behavioral ecology microbiology and metagenomics the proposed research will i investigate the reciprocal relationship between animal social life and animalmicrobe interactions ii examine how interactions with microbes shape the early evolution of social life and iii study the interplay of social evolution and the evolution of animalmicrobe symbiosis this research agenda will provide foundational insights into animalmicrobe interactions and their role in the as yet poorly understood early evolution of animal social life
coconstruction in the field of social welfare

cocoso brings together 6 universities and 16 partners from the nongovernmental and public sectors this industrial doctoral network is dedicated to participation and coconstruction as a core dimension of democracy and innovation in social welfare doctoral research and training are designed to address the pressing demand for meaningful and efficient participation of citizens involved in social services and policies services users practitioners managers decision and policymakers citizens experiencing welfare systems are often subject to one or several factors of inequality and vulnerability which directly or indirectly hinders their participation to effectively address contemporary challenges in coconstruction of social policies and practices requires the following steps identify different perspectives on participation and coconstruction overcome power trust and management barriers to embed coconstruction in policies and services address limitations in coconstruction due to vulnerability and crosssectionality enhance the potential of digital tools for participationthese tasks will be fulfilled by researchers under close collaboration and supervision of senior academic and industrial partners from different disciplines including social policy education sociology management and history as well as different sectors such as local authorities and nonforprofit social organisations cocoso will thus contribute to develop a research and practicebased evidence and knowledge about barriers and facilitators to coconstruction b edgecutting methods to embed coconstruction in practice and collaborative research networking of universities ngos users local authorities andc effective implementation of coconstruction by highly skilled researchers who will be well prepared to face the challenges experienced by organisations and policymakers in their relationships with vulnerable citizens
scaling limits of particle systems and microstructural disorder

the present proposal focuses on the role of microstructural disorder in the dynamics of manyparticle systems due to the complexity of such systems any practical description relies on simplified effective theories in the tradition of hilberts sixth problem i aim at the rigorous largescale derivation of effective theories from fundamental microscopic descriptions in those derivations the role of microstructural disorder has often been overlooked for simplicity however disorder is key to many systems and can lead to new behaviors understanding its effects in scaling limits of particle systems is therefore of fundamental interesti have selected five model problems illustrating important aspects of the topic the simplest regime is that of homogenization where the effect of the disordered background averages out on large scales for systems like particle suspensions in fluids microstructural disorder is itself induced by particle positions as these evolve over time adapting to external forces it can lead to nonlinear effects another aspect is the emergence of irreversibility the transport of mechanical particles in a disordered background typically becomes diffusive on large scales which gives for instance a microscopic explanation for electrical resistance in metals i also consider the more intricate problem of selfdiffusion where irreversibility rather results from interactions with the ensemble of other particles themselves a last important aspect concerns the emergence of glassiness which results from the competition between interactions and disordered backgroundmathematically this proposal is at the crossroads between the analysis of partial differential equations and probability theory and it builds on tremendous recent progress in two of my fields of expertise homogenization and meanfield theory their combination provides a timely and innovative framework for new breakthroughs on scaling limits of disordered particle systems
deciphering the role of sterol metabolism in the plantrhizobiome interaction and their effects in plant performance

rising global temperatures due to climate change are posing significant challenges for tomato production high temperatures adversely affect fruit yield and quality necessitating the development of heattolerant tomato varieties cell membrane function particularly the role of sterols is crucial for heat tolerance this study aims to comprehend how modifying sterol composition can enhance tomatos resilience to high temperatures by influencing root exudate composition and shaping rhizosphere microbial communities to investigate the mechanisms behind hightemperature tolerance through sterol metabolism manipulation we outline three specific objectives 1 to investigate the sterolmediated impact on compositional changes in root exudates under normal and hightemperature ht conditions 2 to explore the link between modified sterol profile root exudate composition and rhizospheric microbial interactions 3 to evaluate the impact of sterolmodified root exudates on plant performance and resource exchange under normal and ht conditions our approach involves utilizing highthroughput technologies including gas chromatography and ultrahighperformance liquid chromatography coupled with quadrupole timeofflight mass spectrometry for lipid and metabolite profiling as well as nextgeneration sequencing to analyze the impact of modified sterol metabolism on rhizosphere microorganisms additionally we will assess physiological and phenological parameters to determine the effect of altered sterol metabolism on plant growth in various temperature environments given the critical role of solanaceae family crops such as tomatoes in global and european agriculture this research holds immense potential for enhancing food security and promoting sustainable agriculture moreover it opens doors to innovative approaches for improving plant performance reducing reliance on agrochemicals and fostering beneficial plantsoilmicrobe interactions
relicts of ancient cellular biochemistry in highco2 subsurface ecosystems

the biological conversion of inorganic to organic carbon autotrophic co2 fixation is arguably the most important biosynthetic process on earth having been established early in the archean eon a period characterized by an atmosphere rich in co2 this metabolism helped spark and fuel the evolution of early microbial life mounting evidence suggests that exceedingly high levels of co2 select for energetically efficient co2 fixation pathways immensely affecting carbon cycling we hypothesize that co2rich subsurface ecosystems still harbor microbes that prefer or even require extremely high co2 concentrations we refer to these microbes as carbodioxyphiles accordingly elevated co2 levels would impact the thermodynamics of the microbial central carbon metabolism enhancing autotrophy and hindering remineralization of organic matter by heterotrophs to this end we will study microbial life in co2rich subsurface environments and elucidate ancient metabolic pathways rendered obsolete by the co2 levels of most modern environments each of the research teams members has contributed to prior breakthroughs in novel autotrophic pathways environmental genomics metabolomics andor the biogeochemistry of deep subsurface environments establishing optimal synergy in this wealth of expertise and experience we will describe novel modes of microbial carbon fixation in co2rich settings and elucidate the importance of carbodioxyphily for microbial evolution archean park will provide a unique window through which to study a new mode of cellular biochemistry the relicts of primordial carbon fixation and earths earliest carbon cycle we will comprehensively characterize the metabolic mechanisms exploited by microbes to achieve evolutionary dominion in these relict environments our findings will stimulate biotechnological and geotechnical innovations ranging from enhanced autotrophic biomass production to improved carbon sequestration and storage
informing and educating young people on more sustainable behaviours and choices to build a future generation informed and interested in bioeconomy

genb contributes to the implementation of the updated 2018 eu bioeconomy strategy and the european green deal priorities and the achievement of a climateneutral europe by 2050 and the sustainable development goals involving the most relevant awareness and education eu funded projects and initiatives transition2bio biobec allthingsbiopro waystup bioswitch bloom biovoices bioways lift biobridges biocanndo eubionet european and international school networks and experts in socioeconomic science and humanities genb overall objective is to raise the generation bioeconomy genb aware sensitive and interested on environmental issues sustainability and circularity genb will cocreate innovative approaches in cooperation with young people parents teachers and other formal and nonformal education professionals to provide formats materials and toolkits on bioeconomy and biobased sectors through social innovation common ground camp focus groups and living labs inspire inform young people raising their awareness on sustainable and circular bioeconomy and biobased sectors including the promotion of bioeconomy careers educate young people to accelerate the transition towards a more sustainable and circular behaviours and lifestyles teachers in teaching environmental issues and other multipliers to promote the bioeconomy to their target audiences engage and empower bioeconomy youth ambassadors genb ambassadors the frontrunners in driving the change by attracting and influencing other young people support them to take a role creating opportunities to make their voices heard and assume their role in the transitionto maximise its impacts and ensure exploitation replicability and sustainability genb will widely communicate and engage the society create synergies with other projects and initiatives consolidate the genb education model produce policy recommendations targeting ministries of education and other policy makers
turning off the furnace the intracellular brake systems for brown fat thermogenesis

freeranging animals are continuously exposed to fluctuating ambient temperature therefore rapid finetuning of thermogenesis to maintain core temperature homeostasis is critical for survival brown adipose tissue bat evolves as a thermogenic organ the rapid switching on and off is essential for thermal regulation of note thermogenesis inevitably comes at high energetic cost and bat ultimately is an energywasting organ a constrained strategy that minimizes bat activity unless obligate will have been favored during natural selection to safeguard metabolic thriftiness however this tenet and the molecular basis that constrain bat activity remain unappreciated unexplored and unexploited filling this fundamental knowledge gap will unlock endogenous constraints and allow efficiently and fully harness the energyconsuming potential of bat for therapeutic interventions to this end i identify that a phase separationaided molecular event a lipolysisstimulated feedforward regulatory circuit with negative feedback loop and a purinergic nucleotides fluxbased inhibitory mechanism are synergistically involved in rapidly terminating heat production batoff aims to study 1 how these previously unappreciated mechanisms allow mammals to effectively orchestrate dynamics of bat activity 2 whether these constraining brake systems are malfunction under pathophysiological conditions and 3 the translational potential of targeting these brakes i will address these questions using stateoftheart gain and lossoffunction in vitro and in vivo studies newlygenerated mouse models highresolution cellular respirometry live cell imaging and cuttingedge omics results of batoff will not only provide a transformative molecular understanding of the cellular processes enabling physiological adaptation to thermogenic demand but also with translational potential for prevention and treatment of obesity and diabetes by harnessing the calorieburning potential of bat
personalized rehabilitation via novel ai patient stratification strategies

prepare aims at advancing rehabilitation care for patients with chronic noncommunicable diseases as rehabilitation is a complex multifaceted and highly personal process we currently lack reliable patient stratification and outcome prediction tools while big data approaches provide a path forward existing data sets pose numerous challenges these challenges can be overcome by combining advances in clinical research sociobehavioral and public health research data science and advanced statistical and ai learning methodswe will apply machine learning techniques on our largescale patient data sets including key sociodemographic living conditions and behavioral information to stratify patients based on expected outcomes a subsequent analysis will consider all potential predictors for rehabilitation outcome baseline strata and modifiers will be used to develop a comprehensive model of each clinical situation to increase management quality improve outcomes and reduce costs as proof of principle we will develop a platform for sharing model results exploiting the openscience ehden platform and showcase the novel approach through pilot cases of nine pathologies which constitute the most dominant causes for rehabilitation worldwide hand disorders hip and knee prosthesis intermittent claudication lower limb loss parkinsons diseaseparkinsonisms scoliosis spine disorders temporomandibular articulation and hypertension we will also develop a certification roadmap prepare will result in innovative robust personalized and validated datadriven computational prediction and stratification tools to support healthcare professionals and patients in selecting the optimal therapy strategy