Dragon09/odtu_chatbot huggingface dataset:
diaminodicyanoanthroquinodimethanes electrically driven molecular micromotors

electric fieldpowered micronano motors emnms are tiny devices that convert electric energy into mechanical movements emnms are the potential candidates for the range of applications from physics to biology most of the existing emnms have been shown to propel in various fuel media like h2o2 hydrazine and hydroquinone limiting their toxicity applications the majority of their fabrication processes are expensive timeconsuming and complicated highlighting the need for a simple fabrication approach to devise ecofriendly emnms this proposal aims to develop a new strategy for fabricating electric field responsive asymmetric molecular microparticles using a simple fabrication technique and analyzing their motions in the presence of the electric field without an additional fuel medium for the first time we will employ the simple reprecipitation technique to incorporate the gold nanoparticles into the asymmetric crystals of strongly zwitterionic diaminodicyanoanthroquinodimethane ddadm derivatives and employ them as micromotors under the electric field the essential determinants for developing asymmetric morphologies will be a noncentrosymmetric assembly of dipolar molecules nonequilibrium conditions and local supersaturation during the reprecipitation technique further examples will need to establish it conclusively molecular emnms will be expected to exhibit highspeed motions 30 to 100 times of the body length s1 under a low electric field 50180 vcm it will be proposed that the concentration gradient of the polar ddadm molecules and trapped gold nanoparticles across the asymmetric crystal can induce charge dielectrophoresis force in the presence of an electric field that could facilitate the mechanical motions of emnms in the water an empirical model will be developed for the mechanistic understanding of the actuation process and insight into the response of the ddadm molecules under the electric field
flexible dimensionality of representational spaces in category learning

our visual system frequently has to classify complex high dimensional inputs a key learning objective of the brain is thus to identify diagnostic dimensions often tasks require simultaneous consideration of multiple dimensions yet learning many dimensions is computationally challenging here i ask how the visual system tackles the challenge of learning high dimensional tasks some theories suggest that the brain does so by compressing dimensions while others suggest dimensionality expansion yet dimensionality compression and expansion both have advantages and disadvantages and some studies find dimensionality compression where others find expansion this raises the hitherto unanswered question what determines whether the brain invokes either of the two strategies i hypothesize that instead of settling on a single strategy the brain can reap the benefits of dimensionality compression and expansion by flexibly adjusting dimensionality to the task at hand this entails the novel prediction of flexible neural codes that can switch dimensionality to test this theory i build on a multimodal multispecies approach i have developed to study learning using the paradigmatic case of visual category learning i will establish the effect of task dimensionality on the structure of mental representations in behavior i will determine how task dimensionality transforms neural activity using neuroimaging in humans i will identify the neural building blocks of flexible dimensionality using electrophysiology and causal perturbations in rhesus monkeys and i will unravel computational principles of flexible dimensionality with artificial neural networks this combination of species and techniques is ideally suited to unravel the neural mechanisms for coping with high dimensional tasks by elucidating the flexibility of mental and neural representations i aim to reveal a hitherto unknown principle governing learning and stimulate future educational applications
european underground h2 storage reference system

the overall aim of the project is to demonstrate underground hydrogen storage in depleted porous natural gas reservoirs at trl8 rag austria ag is in the unique position to start with an already existing pilot facility developed within the framework of the uss2030 project wwwuss2030at to trl 6 euh2stars will bring the pilot to trl8 using results of several relevant projects hyuspre hystories underground sun storage underground sun conversion and others to achieve the overall aim and maximize the exploitation of the project results for replication in other regions of europe the following specific objectives and outcomes are planned provide recommendations to best manage all environmental legal and future regulatory societal and marketrelated aspects to ensure a successful implementation of an underground hydrogen storage facility in europe wp 1 provide recommendations on the topic of health safety environment and quality hseq including a monitoring plan to ensure an alarp as low as reasonably practicable risk level when operating the demonstration site and future commercial storage sites wp 2 run 4 cycles of seasonal operation with different characteristics and usage profiles to demonstrate the ability to integrate with different energy infrastructure systems with highest purification levels of hydrogen wp 3 show transformation pathways to replicate demonstrator findings in fullscale commercial settings at existing underground gas storage facilities and new to be developed storage sites in depleted natural gas reservoirs in europe located in austria rag the netherlands shell hungary hgs and spain tes wp 4 show how to integrate hydrogen storage facilities into the local national and european energy infrastructure and market by showcasing specific use cases in at hu nl and es and other use cases including the integration into the european hydrogen backbone wp 5 establish a sound interactive stakeholder involvement process to maxim replication potential and exploitation of the demonstrator results wp 6our euh2stars mission isbest practice demonstrator for a competitive complete and qualified largescale hydrogen storage system using a porous subsurface reservoir to enable the integration of european renewable energy sources
planning land use strategies meeting biodiversity climate and social objectives in a changing world

plus change brings together 23 institutions from across europe including 5 universities 5 research institutes 3 stakeholder network organisations 1 performing arts collective and 9 practice partners representing regional planning and land management authorities and organisations the objectives directly address the call with an aim to create land use strategies and decisionmaking processes that meet climate biodiversity and human wellbeing objectives of sustainability and to develop interventions that leverage political economic societal material and cultural contexts to achieve these strategies by involving actors at multiple decisionmaking levels individual land management planning policy activities include land use modelling including historical and future trajectories of change systems mapping causal loop diagrams performing arts approaches randomized controlled trials of behaviour change sociological surveys and policy and governance reviews all activities brought together in an integrated research design that draws on their different contributions to a holistic approach to understand multiscale land use systems across a diversity of socioeconomic and biogeographical contexts and create usable tools for land managers users planners and policy makers the project is anchored in and integrated through 11 locationbased cases for cocreation and in a highlevel multiplier cluster to identify challenges and impacts at eu and global levels outputs include recommendations of codesigned and tested interventions to unlock behavioural structural and procedural changes to achieve identified land use strategies and a toolkit to support land use planners in enacting these interventions including knowledge training a planning dashboard and simulation tools and methods for engaging citizens and land managers in behaviour change
method for smart and affordable evaluation of simultaneous faults in heating and cooling systems based on compressed vapor technology

this project seeks to revolutionise fault detection diagnosis and evaluation fdde by designing an innovative knowledgebased and costeffective method currently fdde for vccs is performed only for large plants for small plants instead only fdd is run while the evaluation is not affordable according to current patents allowing eventually only one fault per time the innovation beyond the soa of our proposal lies in the methods ability not only to detect but also to precisely identify their types and to assess the severity of up to three concurrent softfaults complete fdde in terms of refrigerant charge and heat exchangers fouling which are the most insidious among the frequent ones through data processing the method allows to collect energetic and environmental knowledge of the system and to elaborate economic calculations making possible to provide a powerful and innovative decisionsupport service of interest for energy service providers final users or policy makers beyond the project the method could be easily implemented in smallsize vapor compression systems vccs the most common kind of system preserving the original hardware except for some cheap extra measurements and data processing that can be easily done and managed with iot devices and ict infrastructures the research proposed will investigate a method through the proof of concept about the possibility to determine univocally the fdde running an appropriate set of values to the degrees of freedom of the machine the research requires the development and experimental validation of a model the production of a huge synthetic database for several machines the demonstration of the method by a virtual test and the effective experimental validation the project is relevant to the challenge scope aligning with the objectives of exploring new methods and processes to reduce operational costs increase efficiency and enhance environmental performance in cooling systems
new european bauhaus academy alliance

the urgency of the climate crisis requires accelerating the transfer and adoption of climate change mitigation skills and tools to workers businesses policy makers and the public around 40 of ghg emissions come from building operations and an additional 1020 from embodied emissions making the construction ecosystem a major contributor to the climate crisis and a necessary sector to transform one of the main obstacles to transformation is the massive need for skilled workers and educated professionals on all levels more than three quarters of companies in the eu report difficulties in finding workers with the necessary skills the twin green and digital transformation of the construction ecosystem is an enormous opportunity to create sustainable employment in urban and rural areas and is central to decarbonising europes economy and fighting climate change our objective is to establish an international network the new european bauhaus academy alliance neba alliance which will ensure high quality training for higher education vet and lifelong learning is available and delivered to as many workers as possible across europe and the surrounding regions the project will establish hubs that have regional coverage andor expertise in specific topics create a joint business plan and operational models then link them through a digital platform that will serve as a matchmaker between learners and trainers as well as an open directory and repository for neba certified training contents addressing biobased circular regenerative and longlife processes concepts and solutions with microcredentials available the project will also provide skills agenda and policy roadmap guiding implementation of the green deal renovation wave circular bioeconomy and related policy initiatives the neba alliance will be the first and most dynamic entry in a massive push for skillseducation across all levels of the construction sector and the society
embracing immigrant knowledges for just climate health adaptation

climate change human health and immigration are arguably the most prominent enduring and challenging issues of our times with important implications for justice studies on the nexus of these issues have largely focused on climate change as posing challenges to health and thus acting as a pushfactor for migration however our understanding of how climate is impacting the health of immigrants in places of migration destination is still poor further limiting our understanding of potential climate and health injustices immigrant communities in europe are far from homogenous and are often racialized groups of great ethnic diversity with imbrace i examine what shapes immigrants climate health vulnerability and how their situated knowledges and practices can inform both their own response capacities and urban climate adaptation more broadly towards more effective and just approaches i focus on two types of climate impacts chosen as most relevant for urban areas in europe and with important implications for health a increased and prolonged heat and b intense rainfall and flooding i employ a pioneering feminist political ecology approach that combines participatory ethnography critical discourse and policy analysis and transdisciplinary knowledge production focusing on 6 casestudy cities in europe i systematically explore tangible and intangible factors and structural drivers of immigrants climate health vulnerability centering and engaging with immigrants as expert knowledgeholders mobilizing knowledge that comes with and through immigration i offer an intersectional justice perspective that considers class gender race ethnicity and other axes of power and oppression when designing and assessing urban climate and health adaptation policy this novel comparative and indepth study will open new paths for research at the nexus of climate health and immigration leading to a shift in how we conceptualize and research climate justice
innovative ligands for nuclear receptors to eradicate cancer relapse

the aim of the eradicate international multidisciplinary and intersectoral cancer drug research and development programme is to empower 10 young scientists to become specialists in cancer research and drug development while developing new therapies against cancer stem celldriven relapse and metastasis nuclear receptors such as retinoic acid receptor rar and vitamin d receptor vdr play key roles in many hallmarks of cancer and constitute effective targets for modern cancer therapy to address the eu priority mission cancer we will 1 test the anticancer activity of rar and vdr targeting compounds 2 design and synthesise a highly innovative dual action hybrid compound acting simultaneously as rar antagonist and vdr agonist 3 devise preformulation strategies for our compounds 4 and develop a novel deep learningbased cancer analysis and diagnostics method we will test how our rar and vdrtargeting compounds affect stemness and metastatic potential in leukaemia breast prostate colorectal and ovarian cancer in parallel we will assess if the panrar antagonist is effective against chemotherapyinduced neutropenia for the development of the rar and vdr targeting compounds into administrable medicines ready for eventual commercialisation we will develop preformulation strategies we will generate a novel and highly innovative labelfree image analysis method based on histoplasmonic cytometry the project will have lasting scientific economic and societal impactin order to be prepared for a wide spectrum of career opportunities we will train the doctoral candidates dcs not only to perform original and independent research on an internationally competitive level but also endow them with creative critical and entrepreneurial mindset coupled with persistence in following their objectives our consortium consists of 8 academic and 1 industrial beneficiary as well as 12 associated partners to provide training and secondments
improving treatment efficacy in hypertension by biomarkerguided personalised decision support

in htadvance we aim to revolutionise personalised management of arterial hypertension ht by using multiomics momics stratification biomarkers as companion diagnostics for the prescription of existing drugs ht is the most important global risk factor for death and morbidity but is uncontrolled in more than 50 of patients causes of treatment failure include lack of identification of secondary forms such as endocrine hypertension eht which can be curable by specific therapy in addition there is variable response to individual drugs and trialanderror treatment leads to poor ht control and frustration for both patients and cliniciansthe objective of htadvance is to validate two multicomponent stratification biomarkers in patients with ht in order to i identify patients with eht and ii predict response to treatment in patients with primary hypertension the hypothesis is that momics biomarkers reflect specific forms of hypertension and susceptibility to specific drugs to this end we will run three clinical trials htendo httreat and htpredict and apply machine learning techniques to integrate the genetic genomic and metabolomic features that constitute the momics biomarkers in order to generate accurate diagnostic and therapeutic response predictions for clinicians we will also perform economic evaluation of the use of momics for the treatment of ht produce ethical and legal recommendations for clinical decision making and develop a plan for their implementation as companion diagnosticsthe study will be conducted by several ht centres of excellence and will build on the success of the ensatht project that has established methods and pipelines for integrating datasets derived from multiple platforms we expect that htadvance will provide a step change in the management of ht by enabling a personalised more efficient and costeffective treatment strategy and importantly will prevent the ensuing cardiometabolic complications
genomedia a personalized medicine tool for diabetes

diabetes mellitus affects nearly 600 million people worldwide it is a major cause of premature death blindness end stage kidney disease and limb amputation however it is not a single disease most patients are catalogued as type 2 diabetes which is itself highly heterogeneous while others have autoimmune type 1 diabetes genetic testing is currently able to define the precise cause of diabetes in a small group of young patients although the categorization of diabetes subtypes is in most cases largely based on clinical judgement rather than on specific tests it is known however that the classification of diabetes subtypes has major implications for treatment the emergence of whole genome sequencing in clinical practice provides new opportunities for classification of diabetes subtypes but also entails major challenges such as the interpretation of non proteincoding variants the recently funded erc project decodediabetes analyzed sequences from nearly 1500 young patients who had typical features of genetic forms of diabetes but negative genetic tests in specialized genetic diagnostic laboratories this study revealed different groups of genetic variants that cause diabetes in young patients with diabetes it also developed approaches that leverage regulatory genomic knowledge to define noncoding genetic defects underlying human disease the current proposal aims to compile new findings with existing knowledge and to build a genetic interpretation solution to subcategorize young patients with diabetes it will then validate this tool in patient cohorts this proposal can thus translate fundamental knowledge derived from the ercfunded decode diabetes project into applications whose valorization can bridge the gap to market and provide added value for society
neural correlate for the perception of others reward

perceiving what others feel is one of the most fascinating traits of humans as social animals it is believed that sharing emotions is critical to facilitate social coordination empathic experiences and prosocial behaviors over the past decade thanks to a groundbreaking emergence of neuroscience tools it has been possible to explore brain activity systematically across humans primates and rodents in emotional transfer tasks up to date studies have focused on the transfer of negative emotions such as pain fear and distress despite the importance of affiliative interactions and perception of positive emotional states from others in shaping how animals behave socially it is surprising that the transfer of positive emotional states has been virtually unexplored to fill this gap i propose arrow where i will dissect the neural circuit mechanisms of the perception of others positive emotions using a recently developed vicarious reward task for rodents i will ask how the perception of the rewarding states from conspecifics is implemented at the single neuron level in the ventral tegmental area vta and modulated by longrange neuronal circuits projections to and from the anterior cingulate cortex to address this aim i will build on my previous in vivo electrophysiology skills and leverage on the stateoftheart expertise of dr mrquez in studying social behaviors using quantitative approaches and neural circuit manipulations and dr charlet in dissecting neuron circuit functionality this bold and innovative project is not simply incremental but will provide groundbreaking research on a fundamental brain function that is currently understudied finally i will use this funding to catalyze my career as a future influential principal investigator building the foundation for my future independent research aiming at how such neural mechanisms are impaired in disease
musae a humancentred factory for a future technological sustainable development driven by arts

the european economys digital transformation dt is crucial for preserving and boosting international competitive advantages digital european programmea green and sustainable transformation is a vital step for protecting the health and wellbeing of citizens from environmentrelated risks and impacts where digital techs are considered a critical enabler for attaining the european sustainable development goals sdgs it is urgent to define innovative rd models to systematically integrate artistic collaboration in digital innovation hubs to provide companies with new forms of transdisciplinary collaboration aiming to explore future scenarios for technologies application using artistic practice to anticipate innovative products and services to meet the sdgs for innovation towards a sustainable and healthy planetthe project aims to set up the musae factory model based on the design future artdriven dfa method to be included in the edihs to strategically guide digital technology innovation and address future challenges in the food domain to improve people and planet wellbeing musae will build on a dfa method that merges the design futures method by polimi with art thinking approach by starts partner gluon and ub school of art the dfa will help artists envision future scenarios 510 years critically reflect on them and collaborate with technology providers to develop new technological solutions that meet the future humanity needs with a humancentred approach opening up new markets and activities four technological partners will empower the approach by bringing relevant expertise in artificial intelligenceub wearablesabacus roboticspal humanmachineinteractionuom to validate replicability the musae project will set up and activate one factory within the dih partner made and create the factory model pack that will allow other dihs to adopt it the project focusing on food as medicine includes an expert in food and wellbeing themes ucd