Dragon09/odtu_chatbot huggingface dataset:
greener more sustainable platforms for highvalue recombinant protein production

the greenerrpp project aims to markedly enhance the eus capacity for the production of secreted highquality recombinant proteins especially industrial enzymes and therapeutic proteins biotherapeutics the combined markets are in excess of 330 billion pa and the products are of massive significance for healthcare and a sustainable biobased economy greenerrpp will address urgent problems in these industries such as difficulttoexpress proteins and the rapidlyemerging issue of sustainability in the european biotechnology industry it will deliver improvements in yield and process design that increase the industrys effectiveness while simultaneously reducing high current levels of waste it will deliver industrial enzymes that reduce energy and raw material costs in countless industrial and domestic settings to achieve this we will develop powerful new microbial and mammalian cell platforms that produce recombinant proteins in unusually high quantities and in unparalleled quality and bring to market a suite of superproducing platforms a comprehensive training programme will equip greenerrpp esrs with the interdisciplinary and intersectoral skills required to be future leaders in these industries while emphasising sustainability and genderdiversity dimension principles at every level finally the programme addresses the stark global inequality in this biotechnology sector recombinant protein production is largely carried out in or outsourced by highincome countries placing lowmiddle income countries at a massive disadvantage greenerrpp includes a series of south east asian institutions as associated partners to develop a global network with a knowledge exchangesecondment programme that boosts these countries own manufacturing programmes greenerrpp esrs will thus enhance a european industrial sector that has never been more important to society while making it greener and reaching out to lower income countries
lowdose breast ct with monochromatic xray sources

although breast cancer screening and improvements in treatment have reduced breast cancer mortality by 30 this disease still kills over 600000 women yearly worldwide to further reduce its morbidity and mortality new and improved imaging modalities that improve the detection diagnosis and treatment of breast cancer are neededover the last two decades changes in xray detector technology have revolutionized xraybased breast imaging among other developments new digital detectors made feasible the erc consolidator project breast4d during which a new imaging modality dynamic contrast enhanced dedicated breast computed tomography 4d dcebct is being developed to personalize treatment of breast cancerhowever xray source technology has remained essentially unchanged for the last 100 years the continued use of the xray tube as the source of x rays restricts the reduction in dose and the quantitative accuracy achievable with advances in the rest of the system very recently however a new monochromatic xray source has been developed that provides the necessary flux xray energy field of view and portability to be used in xray breast imaging devicesin monobreast the capabilities applicability and innovativeness of breast4d will be extended by introducing these monochromatic xray sources to breast ct imaging and combining them with the advanced image reconstruction method developed during breast4d resulting in a dose reduction of at least two thirds such a monochromatic breast ct system will be applicable to every stage in the breast cancer chain from screening with noncontrast bct at doses equivalent to those of current screening with digital mammography and digital breast tomosynthesis to static cebct for diagnosis and the originally planned 4d dcebct for treatment personalization in addition these new sources will not only result in substantially lower doses but also in substantially higher accuracy with lower algorithmic complexity
how neutron star mergers make heavy elements

the incredible density gravity and electromagnetic field strengths of neutron stars ns make them laboratories for physics under extreme conditions but probing these exotic objects is difficult with the 2017 gravitational wave detection of a nsns merger the landscape changed and we can now get highquality spectra of the decompressed neutronrich matter emerging from the collision this is a new transient astrophysical phenomenon called a kilonova kilonovae are a potential treasure trove of information on some of the biggest open questions in physics understanding the nuclear and astrophysical pathways that created half of all the heavy elements z 30 in the universe and the physics of very hot and extremely dense matter for this reason they are considered a scientific priority and kilonova science is the target of several large new and upgraded facilities but kilonovae are challenging the phenomenon is shortlived requiring rapid followup with large telescopes the outflow is heavy elementdominated making it extremely demanding to model and the merger itself covers a huge dynamic range and involves complex nuclear physics to interpret the spectra we require new atomic data which does not yet exist for most of the heavy elements to tackle these challenges heavymetal assembles experts in astrophysical observations hydrodynamical merger simulation numerical radiative transfer and laboratory heavy element spectroscopy and atomic structure calculation with this team we will be able to determine the structures and overall geometries of the merger outflow the elemental abundances and their stratification within the ejecta by the full exploitation of kilonovae we will trace the nucleosynthesis pathways in ns mergers and provide important insights on heavy nuclei neutrino interactions and the nature of highdensity matter and we will chart the role of compact object mergers as the cosmic forge of the heaviest elements
enhancing protections through the collective auditing of algorithmic personalization

the structure of the current data ecosystem carries grave threats to individuals privacy and autonomy facilitates discrimination promotes social fragmentation and threatens our ability to govern ourselves many of these concerns stem specifically from algorithmic personalizationthe practice of providing individuals with personalized opportunities information or experiences on the basis of their personal data and on patterns learned from others data despite the urgency of the algorithmic personalization problem the mathematical toolkit for studying and auditing for problematic algorithmic personalization remains extremely limitedparticularly if we wish to do so in a manner that provides formal privacy guaranteesthe goal of this proposal is to tackle this important problem headon by establishing the mathematical foundations needed to study algorithmic personalization and to collectively audit personalization systems while guaranteeing privacy to participants such tools could transform our collective ability to make the best possible use of our data while ensuring autonomy privacy and overall positive social impactmy vision focuses on three core objectives 1 building new mathematical concepts and definitions allowing us to articulate prioritize and study personalizationbased problems 2 addressing the key algorithmic challenges of privacypreserving auditing of personalization systems and 3 integrating deep understanding of the broader legal and ethical context into our approach for each of these components the proposal maps out a concrete research strategy including preliminary steps that indicate the feasibility of this groundbreaking project
trem2 microglia engeneering for treating dementias trem2microengines

the project trem2microengines aims at demonstrating that raising and restoring trem2 expression in the brain of alzheimers disease ad and nasuhakola disease nhd patients and in particular in their microglia would result in therapeutic benefitad is a severe neurodegenerative disorder that represents the most frequent form of dementia among the elderly which affects approximately 51 million americans and this number is supposedly tripled by 2050 ad is believed to result from the deposition of extracellular amyloid acontaining plaques trem2triggering receptor expressed on myeloid cells 2 is a microglia cellsurface receptor whose deficiency or haploinsufficiency augments a accumulation due to a dysfunctional response of cells which become apoptotic homozygous lossoffunction mutations in trem2 also cause the autosomal recessive disorder nhd a ultrarare inherited disease of the white matter wm with typical onset in the adult age and pathophysiologically characterized by microglial dysfunction microgliopathy the key clinical feature of nhd is progressive presenile dementia usually leading to death in the fifth decade of life nhd patients also lack curative treatments a relevant proportion of ad cases and all forms of nhd are caused by pathogenic mutations in the trem2 gene which lead to microglia dysfunction contributing to andor causing the onset and manifestations of ad and nhd based on this provision our working hypothesis is that transplantation of hscs engineered by lvs to express robust trem2 levels in response to tissue damage in cnsengrafted myeloidmicroglia cells would modulate neuroinflammation restore physiological microglia functions and contribute preventing and reducing a accumulation in the cns of ad and nhd patients no existing approaches currently allow targeting microglia dysfunction in ad or in nhd nor at enhancing microglia specific function through a microgliatargeted trem2 deliveryengineering
implementing legislation on invasive alien species investigating sociocultural attitudes in the management of invasive alien species in eu member countries

ilias investigates how sociocultural affective and scientific perceptions shape the implementation of eu laws for the prevention and management of invasive alien animal and plant species ias in eu member countries the european parliament legislates policy responses to a list of 66 ias of eu concern but conceptual sociocultural and practical barriers prevent collaborative implementation key terms such as biodiversity or nature lack a shared definition methods for the management and eradication of ias are controversial academic experts engage in fractious disagreements these issues which complicate unified strategies to prevent and manage ias across eu member countries point to implicit and unacknowledged sociocultural factors that shape human relationships with the environment including religious beliefs ideas about local identity and heritage and anxieties about environmental change ilias studies these sociocultural attitudes and framings around species dispersal their influence on the way scientific evidence and bestpractice for ias management among stakeholder groups are interpreted and how this affects the implementation of eu laws using interdisciplinary methods and theoretical frameworks ilias is based on the following research questions how do personal attitudes beliefs and value judgements among stakeholders shape the implementation in different member countries how do sociocultural framings influence the interpretation of scientific evidence do the different conceptualisations present barriers in collaborative action and compliance with eu laws and if so how can a more unified approach be facilitated the resulting insights will contribute to a better understanding of the barriers to implementing coordinated strategies across eu member countries they will point to differences in how stakeholders define key concepts and to the affective cultural and gendered frameworks that influence how scientific evidence is interpreted
enantioselective screwdislocationmediated growth of chiral nanocrystals

in many scientific disciplines structural symmetry considerations are key specifically mechanisms by which symmetry translates from atomic and molecular building blocks to crystal structures and shapes attract a great deal of attention a fascinating aspect of this is related to chirality louis pasteurs monumental work reported in 1848 on formation of chiral shapes in crystals made from chiral molecules led to an intuition that chiral building blocks naturally lead to chiral shapes in crystals yet after countless observations ever since of crystals with chiral shapes mechanisms of their formation are understood to be often more complex and elusive than first imagined in work proposed here nanocrystals will serve as convenient model systems for studies of the interplay between crystallization and chiral shape formation they are beneficial for this purpose as they can mimic embryonic stages of crystal growth exhibiting structural details that can be retrieved at remarkable resolution that are often hidden in macroscopic crystals specifically i will focus on a universal mechanism by which crystals grow at low concentrations of building blocks assisted by a common type of imperfections namely screw dislocations i will tackle key unresolved questions on the interplay between chirality screw dislocations and crystallization first how does screwdislocationmediated growth proceed in the presence of chiral additives that can bind to growing crystals and how do these dislocations even come to be second how general is this mechanism and how often was it overlooked throughout history the results obtained in this work on the one hand will lead to a general design principle to control nanoscale chirality in many inorganic materials beneficial for novel applications on the other hand they have the potential to elucidate a missing piece of crystal growth theory and lead to a paradigm shift in our understanding of shape chirality in crystals
development and evaluation of radical oxygen species rosresponsive drug delivery systems to prevent and cure inflammatory and hypoxic diseases

the evolving landscape of medical research demands innovative breakthroughs to enhance disease treatments smart drug delivery systems dds are at the forefront of these innovations offering precise drug release while combatting oxidative stress and harmful species roscureo2 radical oxygen species rosresponsive drug delivery systems to prevent and cure inflammatory and hypoxic diseases is a pioneering proposal focusing on engineering rosresponsive dds with antiinflammatory and antihypoxia propertiesinflammation profoundly affects global health contributing to various skin and wound conditions including radiationinduced skin injuries risi risi arises from healthy cells exposure to ionizing radiation used in cancer radiotherapy leading to issues ranging from mild skin reactions to severe burns ulcers infections and necrosis impacting the quality of life for over 95 of radiotherapy patientsroscureo2 aims to develop innovative treatments for inflammatory conditions by targeting ros and hypoxia precisely the hypothesis posits that multifunctional dds can 1 scavenge ros 2 selectively release antiinflammatory drugs and 3 deliver oxygen in rosrich environments thus preventing and curing inflammatory diseases this triple therapeutic approach seeks to overcome the limitations of conventional treatmentswithin roscureo2 the development of a smart dds platform that can synergistically address ros and hypoxia this involves polymeric dds with rosresponsive properties provided by sulfurbased chemistries andor antioxidant crosslinkers and the incorporation of oxygenreleasing and rosscavenging nanoparticles like cerium oxide these nanoparticles can be combined with antiinflammatory active pharmaceutical ingredients to increase treatment efficacy and reduce costs roscureo2s outcomes have the potential to advance our understanding of rosresponsive drug delivery and tissue regeneration through oxygen delivery
quantum optical networks based on excitonpolaritons

one of the main needs in quantum optics and quantum information is the ability to generate manipulate and characterize arbitrary quantum states both in discrete and continuous variable domains qone aims at exploring a novel approach for sensing and generating quantum states of light based on quantum neural networks qnn in integrated photonic devices this proposal has the ambition to solve one of the most interesting problems of quantum mechanics the recognition of quantum states of photons like fock states or entangled pairs without the need of correlation measurements moreover our platform has the ability to be reversible by injecting a quantum state into the qnn the output gives access to the full characterization of the input quantum state conversely with a classical state of light as input a coherent state emitted by a laser an arbitrary quantum state can be generated on demand at the output of the qnn this is all realised in a single devicethe project idea places itself at the frontier between quantum physics and applied artificial intelligence building on top of stateoftheart semiconductor material growth and processing the consortium targets the realization of a novel device based on strongly interacting photons excitonpolaritons that using principles of neuromorphic computing is able to recognize characterize and generate a variety of quantum states importantly we propose to exploit the properties of a quantum neural network which is able to identify and generate quantum states without the need to reach extreme singleparticle interaction strengths this innovative idea relies on the physical realization rather than the simulations of a massively parallel computing taskif successful the qone approach will enable the realization of a completely new fully reconfigurable and reversible universal quantum platform which will significantly advance the state of the art in the field of quantum technologies
ultra performance wing

the ultra performance wing project will validate down select mature and demonstrate key technologies and provide the architectural integration of ultraperformance wing concepts for targeted ultraefficient shortmedium range aircraft smr ie 150250 pax and 10002000nm rangethe project directly addresses the clean aviation objectives fuel burn reduction of minimum 30 aircraft level compared to the stateoftheart reference aircraft a321neo up wing will consider 2 aircraft configurations covering both exploitation horizons outlined in clean aviation impact objectives a high aspect ratio saf wing with turbofan engine targeting 1013 and a dry high aspect ratio wing with open rotor up to 17 energy efficiency efficiency increase on wing levelup wing will develop the integrated high aspect ratio saf wing up to trl4 until the end of this project and will provide concepts studies for several dry wing configurations the interdisciplinary european consortium consisting of airframe integrators industry research establishments and academia will develop the related enabling technologies covering all relevant engineering disciplines performance monitoring considering impact monitoring in close collaboration with the architecture project will be done for all technologies the project objectives are broken down to individual targets to be monitored ground wind tunnel and virtual testing are foreseen thanks to multidisciplinary optimisation the overall wing design for configuration 1 will ensure the proper integration of all technologies up to trl4 these results will be picked up in a second clean aviation phase achieving trl6 until the end of the clean aviation programmethese clean aviation objectives are well aligned to the development plans of future aircrafts entering into service in 2035 saf smr h2 regional with 75 market penetration until 2050 academia involved will ensure proper scientific exploitations via lectures conference contributions journal proceedings whereas the industrial partners will mature specific technology bricks to trl4 and higher
hittolead development of potent broadspectrum coronavirus fusion inhibitors

the covid19 pandemic emphasized the urgent need for efficient broadspectrum antiviral drugs against potential future coronaviruses cov strains that may cause the next covid pandemic a critical stage during infection is the fusion of the viral envelope with the hostcell membrane which depends on the conserved s2 domain of the viral spike s protein hence targeting the s2 domain is a promising approach to achieving pancov inhibition since mers and sars s proteins bind to different cellsurface receptors through the rapidly diversifying s1 domain we reasoned that compounds that inhibit both must target the s2 domain we developed and performed a robust fluorescencebased highthroughput screen of 173227 unique compounds and classified them based on their ability to inhibit infection of pseudoviruses bearing either mers or sars2 s proteins at singlecell resolution to our knowledge this is the largest screen performed to date this analysis identified several potent broadspectrum small molecules that inhibit s protein mediated infection at submicromolar concentrations moreover the compounds we discovered obey lipinskis rule of five indicating that they can potentially become drugs to prevent viral transmission this project aims to develop two of the most promising broadspectrum cov small molecule inhibitors to create more clinically ready compounds with up to 100 inhibition activity that could be administered orally to reduce hospitalizations prevent chronic effects and reduce mortality the technical work in the project is focused on lead optimization leading towards broadspectrum antiviral drugs against future outbreaks of batborne viruses the project also comprises precommercialization activities where ip protection and commercialization planning are the core activities eventually we will expect our developed compounds to boost the market for antiviral therapies for batborne viruses
metaantenna and energy harvestingstorage modules development for autarkic sensors arrays

metatherm will demonstrate a versatile energy harvesting and communication system for unattended environment sensors arrays allowing the development of maintenance free and autarkic operation devices the novelty builds up from several different innovations the main one being the microwave antenna based on epsilon engineering using metamaterials allowing the antenna to show extremely high gain and an extreme compactness fetopen project nanopoly the energy efficiency of the antenna allows the electrical power need to be decreased accordingly which allows the consideration of novel energy harvesting technologies to be used to power the system in metatherm the energy of the sun is harvested using a novel ionic thermoelectric device this technology is based on ion migration under a thermal gradient and show higher seebeck coefficient than usual tellurium based semiconductors without the use of rare or toxic elements a significant advantage in the context of the rapidly growing energy demand for iot and mobile electronic systems used in addition to a supercapacitor to store the electrical energy and a thermal energy storage device metatherm platform will allow continuous operation of the device day and night moreover due to the similarity in device structure between the ite device and the supercapacitor metatherm will benefit from manufacturing know how of the latter a substantial maturity level increase is then expected for the ite devices finally the project aims to develop a platform integrating all these technology in a single device and exploration of its potential applications to ensure market fit the project plans a 3 phases exploitation plan gathering potential user interest at the beginning of the project selecting most promising applications at the demonstrator design stage and produce a transfer plan at the end of the project