Dragon09/odtu_chatbot huggingface dataset:
innovative mechanochemical processes to synthesize green active pharmaceutical ingredients

the environmental impact of the pharmaceutical industry is a huge problem the production and use of pharmaceuticals cause high co2 emissions contamination of soils biota and water and even dangers to human health through carcinogenic impurities especially the use of solvents is a major problem the european green deal has led to strict regulations on environmental pollution by the pharma industry causing manufacturers to move outside of the eu due to the high costs associated with green pharma this results in supply chain fragility and low crisis preparedness in europe new methods to produce pharmaceuticals in a green efficient and economically friendly way are requiredthe impactive project brings together the expertise and knowledge from two cost actions and will develop novel green methods to produce active pharmaceutical ingredients apis using mechanochemistry as a disruptive technology as acknowledged by iupac mechanochemistry uses mechanical processes such as ball milling twinscrew extrusion resonant acoustic mixing and spray drying to induce chemical reactions the advantages of mechanochemistry include no solvent use high efficiency low costs and reduced energy use and co2 emission upon completion of the project we will provide proofofconcept at a small pilot scale of the use of mechanochemistry to produce 6 apis from 3 different families of compounds based on a recent study switching to mechanochemistry can reduce terrestrial ecotoxicity and co2 emissions by more than 85 while production costs were reduced with 12 the results of the impactive project will thus enable pharmaceutical manufacturers to move back to europe while minimizing environmental pollutionthrough our strong dissemination and communication strategy we will ensure that the projects results are shared with scientists the pharmaceutical industry and stakeholders from regulatory and public authorities to achieve maximum impact
direct seawater electrolysis technology for distributed hydrogen production

sweethy will develop an advanced technology for direct seawater electrolysis that will be able to produce h2 and o2 under intermittent conditions accounting for the coupling to renewable power sources especially wind pv the electrolyser will be based on an anion exchange membrane aem operating in natural or alkaline seawater and the sweethy technology will be developed along three dimensionsa materials optimization to meet the specific requirement of seawater environment a focus will be made on corrosion resistance and selective pgmfree electrocatalysts for hydrogen and oxygen evolution reactions on aem with high selectivity for transporting hydroxide anions and antifouling properties as well as on novel anticorrosion coatings for bipolar plates and porous transport layers prepared by plasma spraying and electrodepositionb an electrolyser stack prototype based on a novel stack architecture applying hydraulic cell compression is developed to host the advanced materials to produce h2 at high pressure beneficial functions of the targeted unique stack are related to scalability and maintainability that will be tremendously improved in comparison to conventional aemwe stacksc sustainability analysis studies not only for the electrolyser system but also for its integration into renewablepower systems and for efficient byproduct utilization in industrial symbioses feeding back to materials optimization and stack development early on complementing lca social lca and technoeconomic analysesoptimization by qualitative work ensures both environmental economic and social sustainabilitycombining these three dimensions sweethy will utilize mediterranean seawater feed in messina italy to withstand more than 2000 h of operation to produce 20 gh2h with a degradation rate lower than 1100h in addition sweethy will demonstrate how the operation of the electrolyser can ensure an optimized revenue concerning byproducts and grid services
dissolving microneedle array patchbased psoriatic immunotherapy using nanoparticles

psoriasis an autoimmune disorder characterized by keratinocyte hyperproliferation predominantly manifests as plaquetype psoriasis with a majority of cases being mild to moderate current treatment approaches such as topical therapy often fall short due to limited skin permeability systemic drugs and biologics while effective pose risks associated with high doses addressing mild psoriasis presents the challenge of overcoming limited skin permeability and minimizing systemic drug toxicity microneedle array patches maps offer a promising alternative they breach the stratum corneum facilitating intradermal drug delivery resulting in higher localized drug concentrations compared to systemic or topical administration given the pivotal role of tnf in psoriasis i bring expertise in various map fabrication techniques nanomaterials for drug and mrna delivery and their applications by collaborating with the host we aim to develop an innovative nanomedicinebased strategy this approach involves encapsulating tnf inhibitors in calcium phosphate nanoparticles using flame spray pyrolysis and loading them into maps the research will encompass various parameters including size encapsulation efficiency release kinetics mechanical strength morphology safety and in vitro efficacy assessment beyond the research project i will engage in personal development courses gain exposure to stateoftheart laboratory facilities and participate in conferences additionally i will mentor masters and phd students honing my project management skills and collaborate with industry experts and clinicians to explore the formulations potential
decoding gut microbiotamodulation of memory

our memory is essential for all aspects of our lives memories are encoded in the brain by coordinated neuronal activity in the hippocampus disruption of this coordination is associated with neurologicalpsychiatric disorders such as alzheimers disease and schizophrenia affecting spatial and social memories emerging data suggests that the gut microbiota can influence the brain through the vagus nerve with involvements in an increasing number of mental health conditions including those impairing memory however these associations are correlative and the precise microbiotavagal effects on brain physiology remain to be defined can we decode hippocampal neuronal mechanisms contributing to gutvagal modulation of memory remember aims to establish an integrative functional definition of two distinct and specialised neuronal pathways arising from the vagusinnervated brainstem which are likely to carry microbiotainitiated information into the hippocampus by combining stateoftheart viral tracing behavioural tests microbiomevagal manipulations and in vivo electrophysiology i propose investigations of progressive levels of biological complexity remember will bring new insights into the regulation of memory and may pave the way for transformative microbiota and vagusoriented treatments for people living with memory decline addressing a public health priority i will design an open sharing strategy for the dissemination and communication of my findings to maximise their impact this fellowship will provide me with interdisciplinary expertise by complementing my knowledge in neuroscience with microbiome research and it will support my transition to independence at apc microbiome ireland i will grow my network and gain valuable international training and intersectoral exposure through secondments at icahn school of medicine in new york and the allen institute for brain science in seattle strengthening my competitiveness for independent group leader positions
understanding and engineering resistive switching towards robust neuromorphic systems

resistive switching refers to the controlled change in resistance of an electronic material eg metal oxide via the creation and modulation of nanoscale filaments although its physics is not yet fully understood resistive switching devices called memristors are promising as efficient artificial synapses in neuroinspired computing systems however practical challenges exist current devices excel in only a few of the performance metrics necessary for circuit and system integration moreover they exhibit nonidealities causing neuromorphic systems using these devices to have low performance the project will address this key issue by pursuing devicesystem cooptimization across four objectives aiming to engineer a single hero resistive switching technology with all the desired metrics aim 1 will develop resistive switching devices based on a new class of materials with broad compositional space called high entropy oxides promising compositions will be fabricated in a high throughput fashion in aim 2 a proposed characterization method via a stateoftheart midinfrared laser will help understand inoperando the filamentary switching at nanoscale and uncover the physical mechanisms behind its nonidealities the fabrication and characterization will iteratively target a broad range of performance metrics some metrics can only be quantified across a population of devices so aim 3 will integrate the optimized devices on transistor circuitry for benchmarking at scale aim 4 targets the applicability of these devices to next generation neuromorphic systems for machine learning training preliminary work on a multilayer neural network validated this concept and indicated the need for cooptimization as proposed robustnanonet will address the interdisciplinary challenges towards a reliable resistive switching technology to support robust neuromorphic systems for energy efficient computing
metallic elements dissipation avoided by life cycle design for steel

the proposed project aims to increase recycling ratio of steel and metals through improved sorting of scrap better separation of nonwanted tramp elements as well as the valuable alloying elements steel can be recycled over and over again while retaining its technical properties however contaminations of tramp elements and losses of alloying elements do occur in the solid state and liquid state recovery processes currently employed in the industrial value chain the project aims to enhance the integrated value chain of scrap based steel production through investigate and develop scrap preparation methods research new ways of sorting and separation of material investigate and develop specific methods to remove copper and tin in the liquid phase and to recover copper form steelmaking residues through pyrometallurgical processes create new steel products that can handle a higher copper content while maintaining required application properties and finally labscale experiments to develop thermodynamic and kinetic modelling focusing on tramp elements the target is to achieve 90 eol recovery rates and a reduction of tramp elements by 6070 improved separation and sorting of scrap with a targeted increase in separation specificity of 50 and a target of copper element recovery from steelmaking residues about 60 ultimately the developed models will when relevant be verified with data from fullscale tests in industrially relevant environmentsthe consortium includes 8 partners from 5 different eucountries a scrap recycler steil a steelmaker sidenor and different rd entities kth kobolde tecnalia university of limerick and politecnico de bari as well as a supplier lsa of sensors for scrap identification covering all the competences needed for the development of the medals project
epithelial memory to candida albicans during commensalism and infection

in this research project i seek to discover the mechanisms underlying oral epithelial cell oec memory and its importance to control candida albicans infections and commensalism c albicans is part of the healthy microbiota but it is also the most clinically relevant fungus fine tuning of mucosal immunity enables homeostasis and regulates commensaltopathogen transition of c albicans innate immune cells such as macrophages can develop longterm responses during systemic infections enabling them to clear invading microbes more efficiently this socalled process of innate immune memory can be targeted in order to improve patient outcomes however at the oral mucosa where immune cells are more scarce oecs are essential for controlling fungal growth and orchestrating complex immune responses whilst oecc albicans interactions have been well analysed during acute infections no study up to date has addressed epithelial memory or its impact on fighting fungal infections and regulating candida commensalismthe aim of this project is to understand the molecular and cellular mechanisms driving epithelial memory in response to c albicans in preliminary in vitro studies i have shown that epithelial memory protects oecs from c albicans and therefore i hypothesised that this phenomenon control fungal growth during pathogenesis and homeostasis i will use advanced models of hostmicrobe interactions to confirm the importance of epithelial memory for clearing infections and whether it promotes fungal commensalism by regulating microbial growth i will decipher the underlying molecular mechanisms by analysing gene expression and metabolic profiles of memory cells and identify potential targets that promote homeostasis at the oral mucosathis project will yield novel insights into mucosal fungal immunology essential knowledge to further comprehend how out body interacts with the microbiota and to identify targets to advance in the treatment of candidiasis
parcel and letter security for postal and express courier flows

parsec is a project about parcel and letter security in the context of postal and express courier services the project delivers an ambitious set of solutions by developing configuring customising and piloting innovative tools services and security management views to fight the abuse of postal and express courier flows for criminal and terrorist purposes the four parsec innovation areas and three use cases strengthen risk analysis and redefine threat detection and resilience capabilities of parcel service providers customs authorities police agencies and other relevant stakeholders parsec develops and tests three nextgeneration nonintrusive detection technologies multienergy photon counting detector neutroninduced gammaray spectroscopy and xray diffraction and combine them into a detection architecture systemofsystem for optimal detection accuracy speed and reliability with parsec solutions postal and express operators customs and police authorities will be more capable to fight crime and terrorism put in place a stronger deterrent and to ensure safe and undisrupted postal and express services
action plan to shape corridors among dihs to foster innovation ecosystems and accelerate the deployment of the p4 medicine paradigm

dihs are onestopshops that help companies to become more competitive with regard to their business and production processes products or services using digital technologies dihs have the mission of helping companies to bettedihs are onestopshops that help companies to become more competitive with regard to their business and production processes products or services using digital technologies dihs have the mission of helping companies mainly startups smes and midcaps to better understand and experiment on how digital technologies can improve their efficiency effectiveness and product quality in other words their competitiveness dihs should have strong linkages with service providers outside of their own region in order to support companies in those services and technologies where regional dihs do not have the requested inhouse resources to provide services based on specific technologies sought by users in recent decades healthrelated activities have evolved from a reactive approach curing diseases to an approach based on the p4 medicine paradigm predictive preventive personalised and participatory in this new paradigm the use of digital technologies is key thanks to digital technologies such as ai or hpc and the massive generation of medical and other healthrelated data traditional methods for early detection diagnosis treatment patient management precision medicine drug development genomics or medical image analysis are being transformeddihsp4medicine project aims to unleash the potential that exists around the collaboration among dihs focused in healthrelated activities the lessons to be learned from the activities carried out within the framework of the project will make possible to take advantage this experience for the implementation of joint longterm and stable programmes to fostering collaboration among dihs as well as exploring the opportunity to articulate stable hub corridors to shape these collaborations
hybrid quantumclassical neural networks for the characterization of noisy intermediate scale quantum computers

the objective of hynnet nisq is to develop tools based on hybrid quantumclassical algorithms for the characterization and measurement of quantum states prepared on nearterm quantum computerscurrently available quantum devices can perform computations that are challenging for classical computers however applications of quantum computers in science and economy require a further development of quantum hardware and algorithms one of the major challenges is the measurement and characterization of quantum states produced as an output of quantum algorithms standard diagnostic techniques have become limited due to the quickly increasing system size and complexity of quantum devices here i will integrate adaptive quantum algorithms with classical artificial neutral networks to design hybrid quantumclassical neural networks employing machine learning techniques i will train the hybrid neural networks to identify underlying characteristics of quantum statesi will develop characterization and measurement tools required for the simulation of condensed matter physics and quantum chemistry on nearterm quantum computers first i will investigate how to design and train hybrid neural networks to recognize quantum phases of matter focusing on strongly correlated systems and topological order second i will study how to exploit hybrid neural networks to reconstruct the full quantum state describing all properties of a quantum system i will use this technique to efficiently measure quantities required for condensed matter physics and quantum chemistry simulations the hybrid neural networks developed here can be readily realized on nearterm quantum computers therefore they will provide key tools for the development of quantum algorithms and nextgeneration quantum hardwarei dr petr zapletal will carry out the proposed research with the input and advice from prof christoph bruder university of basel and prof michael j hartmann fau erlangennuremberg
building excellence in spectral characterisation of exoplanet hosts and other stars

planetary systems around other stars exoplanets and their diversity are the highestprofile topic in galactic astronomy with broad public interest that further translates into motivation for students to enter stem fields the number of known exoplanets has grown to nearly 5000 and may soon grow to a total of 20000 or more with the uclled ariel mission the european space agency aims to take the lead in measuring the composition of a large sample of exoplanets and the james webb space telescope is also expected to study dozens of planets in contrast the characterisation of the stars that host planets or planetforming disks has received less attention spectroscopy of planet or diskhosting stars is however crucial to the detection and indepth study of extrasolar planets including understanding their chemical diversity and for studying the relation between formation processes and diverse outcomes of starplanet systemsby strengthening the relevant capacities europe can be a worldleading region in the study of extrasolar planetary systems while stimulating nationallevel stem education and rd activities with the exohost twinning project we will strengthen the expertise at utartu in modern research and management practices stellar spectroscopic methods and tools exoplanets and planet formation exohost will enable utartu to increase its visibility and attractiveness to implement modern research methods and tools to become an independent regional leader in exoplanet host star characterisation and to pose and solve new science questions leveraging continued partnerships with uu oeaw and ucl for future projects publications and funding applications the partner institutions will benefit from strong ties with the utartu team for research synergies and new mutual training opportunities
inclusive democratic engagement and language technologies in europe

the ideal project seeks to foster a european public space for citizen deliberation that transcends linguistic and cultural barriers utilising automated language tools and social innovation approaches ideal will develop a unique methodology to support effective deliberation in multicultural and multilingual contexts underpinned by an indepth analysis of the european participatory landscape the dthe ideal project seeks to foster a european public space for citizen deliberation that transcends linguistic and cultural barriers utilising automated language tools and social innovation approaches the project will develop a unique methodology to support effective deliberation in multicultural and multilingual contexts underpinned by an indepth analysis of the european participatory landscape the development of advanced aibased tools and technologies and rigorous testing in experimental field settings ideal will leverage mechanisms of social innovation through design thinking codesign cocreation to deepen the scope and impact of its proposed methodology building on results from the conference on the future of europe deliberations initiated during the project will focus on issues related to european democracy migration health and wellbeing jobs and social justice and the rule of law ideal will further develop decidim deliberation platform functionality including multilingual evidence and open data for online multicultural training and support backed up with realtime multilingual support services such as machineeffective translation simplification and subtitling and reading aloud applications for offline environments a userfriendly mobile application to support access to available multicultural resources social indices laws and regulations will be developed finally ideal will support the participation of users and their access to multilingual information in both modes through the development of a chatbot functionality embedded in the platform