Dragon09/odtu_chatbot huggingface dataset:
universal processing route for highperformance nanostructured yarns

yarns are a natural architecture to assemble small building blocks into macroscopic objects and are thus woven in our history from fabrics of natural fibres in ancient times to fibres of synthetic polymers developed in the 20th century for lightweight applications humankinds new building blocks are nanomaterials with superlative properties in all areas optoelectronic catalytic transport structural relevant for global challenges related to energy use storage and conversion uniyarns proposes a new universal route for gasphase assembly of onedimensional nanomaterials into kilometric yarns applicable to materials central to energy applications metal oxides semiconductors and semimetals and reaching high volume fractions without use of processing solvents or polymers the strategy is to grow ultralong nanomaterials by atmosphericpressure floating catalyst chemical vapour deposition fccvd at sufficiently high concentration for them to entangle and form aerogels suspended in the gas phase that can then be directly drawn as continuous macroscopic yarns the first objective of the project is to demonstrate the generality of the fccvd synthesis process with a particular focus on metal oxide nanowires a further objective is to study the kinetics and reaction paths in 1d nanomaterials synthesis with floating catalyst in order to understand the exceptionally fast growth rate inherent to this synthesis mode and to explore its boundaries of selectivity and conversion the next objective is to describe aerogel formation by determining factors at the aerogel network level and at the molecularscale level that govern gasphase assembly the final objective is to establish clear structureproperty relations for nanostructured yarn systems to overcome the current envelope of materials properties through the low charge transport resistance and high toughness of their network structure
empowering ccis to boost systemic innovation for sustainable climate transition

climate change is a pressing threat and europe faces a significant challenge to address it urgently the eu has set ambitious climate goals such as the green deals target to reduce net greenhouse gas emissions by at least 55 by 2030 but this challenge also involves deep social and cultural transformations within this context the cultural and creative industries ccis play a crucial role in the climate transition by raising awareness changing imaginaries and contributing to economic sustainability and innovationhowever ccis particularly small and mediumsized organisations are vulnerable due to limited resources and fragmentation emphasized by the negative consequences of climate change they urgently require tested tools to enhance their capacity for rapid adaptation and making meaningful contributions to the climate transitioncultural and artistic social enterprises within ccis work in close proximity to citizens and cooperation with local actors which makes them uniquely able to identify emerging social and environmental demands based on this citizen and creativedriven knowledge they propose innovative and creative solutions having a unique potential of influencing values and attitudes and inspiring blueprints within the sector and beyondthe emccinno project empowering ccis to boost systemic innovation for sustainable climate transition brings together the fields of ccis climate transition and social enterprises it aims to refine test validate and scale sustainable business models implementing them into prototypes for realworld impact within small and mediumsized ccis focusing on cultural and artistic social enterprises the project involves five diverse organisations from five eu member states that will design and test prototypes based on their sustainability transition needs supported by researchers throughout the process thus contributing to the eus climate goals
firm organization and the adoption of information and communication technologies

the objective of my proposal is to push the frontier of our understanding of how the adoption of information and communication technologies ict affects the internal organization of firms and thus firm productivity employees careers and wages how ict adoption affects the organization of firms global value chains gvc and thus domestic employee outcomes and how ict adoption affects the foreign sourcing of innovation and thus domestic innovationexisting research gives only partial answers to these questions as it provides limited insights into the economic mechanisms behind the effects of ict adoption and the organization of gvc research is impeded by lack of data with exhaustive information on ict gvc and firm and employee outcomesmy proposal will change that i will assemble novel comprehensive data sets with specific information on firms ict use gvc balance sheets and patents as well as all employees characteristics tasks and wages i will break new ground by developing theory and conducting theorybased empirical analyses that both identify causal effects and shed light on the economic mechanisms behind themmy proposal consists of three parts part 1 exploits unique features of my data to study how ict adoption induces firms to reorganize employees i will analyse changes to task complexity and autonomy careers and wages within employees over time to explore complementarities between higher availability of information due to ict and employee knowledgepart 2 quantifies the effect of ict adoption on offshoring and for the first time studies how ict adoption and offshoring jointly affect the task complexity and autonomy careers and wages of employees testing the predictions of taskbased modelspart 3 evaluates the effect of ict adoption on offshoring of research and development rd a key determinant of growth and derives and tests novel conditions under which foreign rd complements or substitutes domestic innovation
fabrication of direct bandgap hyperdoped thin and straintailored gesnsb and gesnalonge layers

the objective of the portal project is to fabricate direct bandgap hyperdoped thin and straintailored gesnsb and gesnalonge layers with enhanced carrier transport properties and light emission and absorption efficiency to achieve this goal a combination of deposition and pulsedlaser melting processes will be used taking advantage of the ultrafast liquid to solid phase transition will enable the fabrication of highquality gesn alloys doped with al or sb above their respective solid solubility this process methodology is expected to yield fully relaxed or even tensely strained alloys with residual defects such materials could bring a new step forward in photonics particularly for infrared optical detectors to acquire an indepth understanding of the dopedgesn alloys properties an interdisciplinary study will be led by applying different laser and deposition conditions collecting data from several characterization techniques and running simulations the final outcome of this project aims to build a complete reproducible and largescale transferable process for hyperdoped gesn materials that could be integrated in highperformance and lowcost devices in addition to the significant socioeconomic impact the portal project is expected to bring it has been ensured that all possible efforts will be made in favour of environmental considerations this study will be conducted in a multidisciplinary research group of the university of padova under the supervision of prof enrico napolitani a twoway transfer of knowledge and savoirfaire between the host organization and the experienced researcher will be favoured by their respective fields of expertise and established collaborations as well as the wide range of equipment provided by the university of padova this individual fellowship will enrich the applicants management and technical skills and expand his professional network improving the development of his career
isotopic signatures in crystalline carbonates the role of amorphous precursors

past environmental conditions eg temperature cannot be directly measured however they are recorded in a measurable way in paleoclimate proxies which are physical chemical and biological materials preserved within the geological record in paleoenvironmental archives and that can be analyzed and correlated with environmental parameters carbonates are one of the most important paleoenvironmental archives as they record the formation environmental conditions in their chemical and isotopic composition however to use them as paleoenvironmental proxies is essential that the original signatures are preservedit has been reported that the formation of many carbonates from different geological settings involves the precipitation of amorphous precursors nonclassical nucleation pathways and their subsequent transformation into crystalline phases this formation pathway could modify the original signatures restricting the use of carbonates as paleoenvironmental proxies yet the effects on the isotopic composition of carbonate minerals due to phase transitions from amorphous precursors have been largely overlooked compared to the modifications due to diagenetic or depositional processes then the main goal of the project is understanding how different pathways and transformation mechanisms of amorphous precursors control the isotopic composition of the final crystallinepolymorph this aim will be tackled under two approaches abiotic and biogenic conditions and combining mineralogical microbiological and geochemical tools the results could generate new guidelines for optimizing paleoclimate reconstructions using ancient carbonate minerals this project its impact and outcome as well as the training in cuttingedge techniques i will get in the host and secondment host laboratories complementary to my expertise and transferable skills will transform me in an independent highly competitive researcher helping me to obtain a stable scientific position
astrocyte dopamine d1 receptor signaling in depression

major depressive disorders mdd represent a global challenge although many recent initiatives have resulted in new antipsychotic drugs their efficacy is not optimal one possible reason for this is that the prevailing paradigm for drug development is based on the neuroncentric view of how the central nervous system cns copes with diseases in the fellowship i will study neuroglia the nonneuronal cells responsible mainly for maintaining homeostasis in the cns failure in the function of these cells can set the course for neurological conditions including psychiatric diseases and mdd thus targeting neuroglia has recently been viewed as a new translational ground for drug development the present proposal is therefore based on our understanding of the potential role of neuroglia in brain disease one of the major neurotransmitters dopamine is known to play an important role in mdd i will examine the regulation of astrocytes a major type of neuroglia by dopamine based on the state of the art i hypothesise that astrocytic dopamine d1 receptor signalling may be involved in the pathophysiology of mdd through innovative methodological approaches i will study the regulation of astrocytic d1 receptor signalling at the cellular level in an experimental model of mdd moreover this project will explore d1 signalling in vivo to validate the results obtained on isolated cells the proposed research will provide a new framework that includes astrocytes and the mechanisms underlying the dopaminergic modulation in depression this will afford novel cellular targets for treatment of mdd associated with dopamine d1 receptor signalling in addition a comprehensive twoway transfer of knowledge is envisioned to bring together competences and experiences necessary for the proposed research the fellowship will facilitate my career development and enable me to get established in the field
deephelix a massively scalable aipowered peptide drug discovery platform

peptide drugs potentially address limitations of both small molecules and antibodies small molecules struggle to target proteinprotein interactions ppis while antibodies cannot access intracellular proteins in this project we will develop an aidriven experimental platform to produce cellpermeable therapeutic peptides made entirely of natural amino acids the platform will allow the rapid discovery of costeffective stable cellpermeable and highaffinity peptide binders for use as research tools in diagnostics and as therapeutics against intracellular proteins previously considered undruggable targets
integration of biodiversity monitoring data into the digital twin ocean

the ocean and its biodiversity are essential to life on this planet comprehensive data on biodiversity and related human and environmental pressures are crucial to understand its current state and how this may change protecting and restoring biodiversity is one of three objectives of the horizon europe mission to restore our oceans and waters by 2030 enabling the eu to reach its green deal and biodiversity 2030 targets identified as one of the mission enablers the eu will build on a digital knowledge system to include a digital twin of the ocean dto allowing simulation of what if scenarios advancing ocean knowledge informing evidencebased policy and offering a range of societal applications to effectively replicate the oceans ecology the dto requires sustained flows of data on biodiversity and associated pressures despite myriad actors collecting biodiversity data and the development of novel costeffective monitoring technologies much of these data are inaccessible or unusable for a variety of reasons hampering the development of the dto biological component and limiting its efficacy dtobioflow will activate access to sleeping marine biodiversity data and enable the sustainable integration of existing and new artificial intelligence processed and automated data flows from various sources to emodnet and into the edito infrastructure serving the eu dto combining sustained data flows models and new algorithms dtobioflow will develop and integrate the biological component of the dto including new digital tools and services policyrelevant use cases will demonstrate the benefit for marine ecosystems of continuous data streams flowing through emodnet and usable by the eu dto infrastructures and ultimate endusers mobilising the marine biodiversity community towards increasing the availability of biodiversity monitoring data into 2030 dtobioflow and its outputs will support the missions actions to protect and restore biodiversity
integrating reinforcement learning and predictive control for smart home energy management

to achieve carbon neutrality and reduce the dependence on fossil energy solar panels heat pumps and electric vehicles evs are becoming commonplace in european homes the abundant solar power geothermal energy as well as environmentally friendly electric vehicles reduce the usage of fossilbased energy while posing challenges to the home energy management system at the same time due to the intermittent feature of renewable energy and potential battery degradation from evs in this proposal we propose a smart home management system that optimises the entire home energy cost while considering a set of constraints related to battery safety and reliability driverhousehold demand and actuator as an mscapf fellow dr meng yuan will receive crucial training at the chalmers university of technology and engage in battery power control and home energy optimisation works which span the areas of control theory and electrical engineering interaction between different areas will spur novel methodologies and fruitful outcomes including 1 an adaptive and robust power controller for ev battery systems 2 a learningbased energy management algorithm that minimises the total energy cost while satisfying the household power supply and 3 a safe learningbased control framework for home energy system management the foreseeable results of the project will include a healthaware optimal control for vehicle battery systems that enables vehicletohome technology and prolongs the batterys lifetime a new interdisciplinary energy management system combining machine learning and control algorithms to revolutionise energy sectors
physics for future

we propose to create an attractive futureoriented postdoctoral programme physics for future p4f with a carefullydesigned combination of advanced scientific transferable and soft skill training in two calls and in an open transparentmeritbased equitable selection process we will recruit 60 postdoctoral fellows to join the institute of physics fzu of theczech academy of sciencesthe scientific scope of the programme is defined by the fundamental areas of research pursued at fzu particle andtheoretical physics condensed matter solid state physics optics laser and plasma physics with sustainable researchand development in mind we have identified three broadly defined domains materials for society matter under extremeconditions and emerging tools leading to a strong synergy among these research fieldswith its interdisciplinary and intersectoral aspects and embedded outlook towards new tools technologies such as 3dprinting artificial intelligence ai machine learning and advanced computing p4f aims to further strengthen the europeanknowledge capital and thus contribute to the generation of frontier science facilitate the rdindustry discourse andinteraction accelerate innovation and importantly contribute to the career development of the future leaders in the field ofphysics who will be able to address and solve the needs of society in the perspective of global sustainable developmentwe will educate a new generation of physicists fluent in interaction with industry and ready to face future societal challengesin this effort fzu joins forces with 16 national and 36 international academic and 20 nonacademic partners 72 in total thiswide network has been crafted to specifically foster deep interdisciplinary thinking and promote knowledge exchangebetween academia and industry with the aim of creating a stronger impact on both society and economy
innovative and sustainable materials processes and technologies for a greener and circular economy

greenx3 is a multidisciplinary and innovative project designed to use chemical tools to address the current global environmental challenges the research objectives will focus on i the study of greener materials including polymers plastics alternative feedstocks natural substances and their environmental impact ii the development of novel environmentfriendly industrial processes for isolation iii the recovery and production of these materials with key enabling technologies kets designed to enhance resource management and product quality the greenx3 network will create a research and training environment supported by 16 teams beneficiaries and associated partners for the international intersectoral and interdisciplinary training of 13 researchers equipped with multidisciplinary skills allowing them to work across disciplines to gradually shape and lead to a greener and sustainable chemical industry within the research developmentinnovation framework six industrial pioneers offer the necessary skills to become the future technology transfer experts thanks to the close and frequent exposure of the researchers to private sector and to kets to significantly enhance their employability environmental and economical sustainability requires a multidisciplinary approach to fill the gap that is currently significantly limiting technology transfer from research to marketable innovation the multidisciplinary expertise boosted by the presence of industrial partners the main drivers of the scientific objectives to respond to a real gap in knowledge with complementary knowledge will offer a superior training opportunity greenx3 will contribute eu green deal by ensuring acquisition of the knowledge and skills needed to promote sustainable development through research and training for responsible production sustainable management and efficient use of natural resources reduced waste generation through prevention reduction recycling and reuse
signs polynomials and reaction networks

many realworld problems are reduced to the study of polynomial equations in the nonnegative orthant and this is in particular the case for models of the abundance of the species in a biochemical reaction network the polynomials associated with realistic models are huge with many parameters and variables making qualitative analyses without fixing parameter values challenging this results in a mismatch between the needs in biology and the available mathematical tools the driving aim of this proposal is to narrow the gap by developing novel mathematical theory within applied algebra to ultimately advance in the systematic analysis of biochemical models motivated by specific applications in the field of reaction networks we consider parametrized systems of polynomial equations and address questions regarding the number of positive solutions connected components of semialgebraic sets and signs of vectors specifically we 1 pursue a generalization of the descartes rule of signs to hypersurfaces to bound the number of negative and of positive connected components of the complement of a hypersurface in the positive orthant in terms of the signs of the coefficients of the hypersurface 2 follow a new strategy to prove the global attractor conjecture and 3 develop new results to count the number of positive solutions or find parametrizationsthe novelty and strength of this proposal resides in the interplay between the advance in the analysis of reaction networks and the development of theory in real algebraic geometry the research problems are studied in full generality for arbitrary parametrized polynomial systems but each question has a welldefined purpose directed to the ultimate goal of having a scanning tool to automatically analyze the models used in systems and synthetic biology therefore this proposal will strengthen the bridge between applied algebra and realworld applications through the study of reaction networks
hay data analytics fermentation control to increase dairy farm milk yield

quanturi is an agtech startup providing iot solutions for monitoring bulkstored organic materials haytech is a network of 1000s of probes that collect temperature moisture readings from hay bales transmit them to quanturi cloud the analytical engine constantly monitors each bales accumulation of temperature data points over time as well as the environmental conditions determining the nutritional value of hay at specific points in time having collected an extensive database of complex datasets incl hay species hay density size of the bale and past and current situation we are now building a full haytech ai stack that offers automated hay fermentation control and cow feed optimization to improve milk yields for dairy farmerswe are a team of 15 ftes with customers in the eu ca the us and au we are aiming to introduce haytech to the dairy industry in 2025 further business scaling will see us reach annual revenues of 50m