Dragon09/odtu_chatbot huggingface dataset:
a novel antibodydrug conjugate for targeting tumorassociated macrophages in solid tumors

the project is focused on the development of a groundbreaking antibodydrug conjugate adc specifically designed for macrophage depletion in the tumor microenvironment tme with a primary focus on breast cancer and solid tumors this initiative represents a paradigm shift in cancer therapeuticsthe presence of tumorassociated macrophages tams in the tme has been identified as a significant factor in tumor progression and immune evasion our proposed adc will directly target these macrophages effectively depleting them and thereby creating a more favorable environment for tumor eradicationthe primary objectives of this project are as follows1 to synthesise and optimise adcs for specific targeting and depletion of tams in the tme2 to demonstrate the efficacy of the adc in preclinical models establishing its potential for human application3 to perform a thorough freedom to operate analysis ensuring that the adc technology does not infringe upon existing intellectual property rights4 to establish a detailed plan for the commercial development of this adc outlining steps for regulatory approval manufacturing scalability and market entryby achieving these objectives we aim to propel this project from the conceptual stage to a viable commercialisable medical solution the successful implementation of this adc has the potential to revolutionise cancer treatment offering a targeted approach that could significantly improve patient outcomes the support of erc proof of concept grant will be pivotal in transitioning this transformative technology from the laboratory to the marketplace ultimately changing the landscape of cancer therapeuticsthe strategic positioning of zelula biopharma host institution as a spinoff of cic biogune adds substantial value to this project leveraging a unique blend of resources academic research excellence and entrepreneurial agility to accelerate the transition from lab to market
molecular and genome evolution of prokaryotic plasmids

plasmids are autonomously replicating extrachromosomal elements that play a major role in prokaryote ecology and evolution the study of plasmid evolution has so far focused mostly on their biodiversity and effect on their host ecology and evolution nonetheless the fundamentals of plasmid genome evolution remain to a large extent uncharted territory plasmids reside within a host cell that supplies their environmental energetic and metabolic requirements consequently natural selection operates on plasmids in two hierarchical levels one component is the plasmid replication and inheritance within the host cell and the other is the host fitness within the population studying the determinants of plasmid evolutionary success thus requires the expansion of classic population genetics theory to populations of plasmids within bacterial cells the overarching aim of pmolevol is to create a novel unified framework for plasmid molecular and genome evolution this includes 1 to quantify the effect of multilevel drift and selection on plasmid genetic diversity 2 supply a framework for quantification of plasmid fitness and its effect on plasmid evolution 3 characterize patterns and rate of plasmid genome evolution our conceptual framework will be based on empirical data from plasmid evolution experiments and reconstruction of past events from genomic information the conceptually novel measures and approaches developed in pmolevol open up avenues for the extension of classic population genetic theory to prokaryotic organisms across all domains of life genetic information is stored replicated and translated by similar mechanisms focusing on plasmids we aim to uncover the general principles that govern the evolution of autonomously replicating genetic elements our ultimate goal is to describe plasmid evolution from emergence to extinction
netzeroaict digital contrast for computerised tomography towards climate neutral and sustainable health systems

computerised tomography ct scan is one of the most common medical imaging performed in healthcare each year 300 million ct scans are performed globally of which around 180m include use of radiocontrast media rcm contrast enhanced cts cect create a significant environmental impact namely 42000 tonnes of single use packaging 900 tonnes of surgical steel needles 90000 tonnes of plastic tubing and 150000000 kwh in energy consumption these generate on average 92 kg of co2 scan in addition cects generates 200000 tonnes of iodine contamination in wateryr this is a recognised form of pharmaceutical pollution cects may also harm patients needle insertion toxicity of iodinated rcms to kidneys potentially kidney failure and allergic reactions which in some cases can be lifethreatening healthcare systems are responsible for the 44 co2 global emissions 2 giga tonnesyr of this 3 mega tonnesyr are generated from cects the eu has declared its netzero targets of by 2050 through the european green deal we showed feasibility that artificial intelligence ai deep learning methods can extract high level information from noncontrast ct scans and synthesise contrast digitally this avoids the need to administer rcm for cects we seek to develop and validate 5 uses cases of ct digital contrast during this horizon award by implementing digital contrast for scans globally we aim to reduce 30 of the co2e and iodine rcm waste generated from cects by 2033netzeroaict has a grand vision to define a reference framework for scalable development of ai health tools for a future of sustainable health systems this builds on our prior efforts of aict consortium which was established to make ct imaging safer more efficient more equitable and more sustainable netzeroaict will accelerate the eus trajectory towards netzero and advance eus globally recognized leadership position on healthcare sustainability
farm animal valuescapes veterinarians and the contrasting values of european livestock production

vetvalues is a comparative ethnographic study of how european livestock farming juggles food security and economic viability with mounting concerns about biodiversity loss and global warming the development of antimicrobial resistance and zoonotic diseases and the compromised welfare needs of farm animals it approaches the wicked problems of livestock production as questions of valuation and valuingof what to value when and how specifically it explores how the values of economic production food safety public health animal welfare and ecology come together and are negotiated in animal husbandry both in assessments and in practices of feeding housing and treating animalswe focus on veterinarians professionals at the heart of the institutional and regulatory arrangements that shape the politics and governance of human and farm animal life previous studies have focused on the ethical dilemmas of veterinarians vetvalues decentres individual deliberations foregrounding instead how farmings sociomaterial contexts shape ways of negotiating values we develop the concept of valuescapes to explore how values are enacted in care practices and embedded in regulatory frameworks veterinary knowledge landscapes animal bodies barns and farming traditionsethnographic research will compare veterinary care on farms in the netherlands sweden and italy contrasting different national industrial and regulatory contexts will allow us to discern variations in the valuescapes of farm animal care in europe vetvalues will thus advance our understanding of how the broader tensions within european food production are comprisedand sometimes resolvedin situated ways it will provide a nuanced picture of the industrys troublesome biopolitical projects that will inform theorizing on contentious multispecies relations in a world facing myriad pressing challenges to the health and wellbeing of humans animals and the planet
strengthening evidencebased policy practice for sustainable food systems under the euau partnership

food and nutrition security and sustainable agriculture fnssa are among the critical development concerns in africa fnssa is among the policy priorities in many african countries and at the center of the aueu international development agenda fnssa was the priority ri area in the aueu high level policy dialogue on science technology and innovation this was further substantiated by the establishment of the panafrican network for economic analysis of policies panap steppfos thus aims contribute to the fnssa 10year roadmap and the global transition towards sustainable food systems through the implementation of activities that link panap to the fnssa partnership specific objectives are 1 to improved capacities of stakeholders 2 to enhanced sciencepolicy interface 3 to improve strategies that promote scientific support within policy development 4 to expand and strengthen the panap network steppfos will be implemented through its 8 workpackages wps over a period of 48 months capacity building stakeholder engagements participatory monitoring evaluation and learning are the main methods to be used to deliver steppfos objectives whiles adhering to open science principles and effective data management practices the consortium is well positioned to deliver these objectives as it draws on the expertise and experiences of its partners drawn from both europe and africa credible academic research and policy institutions
enabled dynamic air traffic flow configuration for flowcentric airspace management

facing the air traffic growth and the challenges in balancing air traffic between geographical sectors the air traffic control paradigm is shifting from local sectorbased solutions to crossborder flowbased approaches such flowcentric approaches can be promising to overcome the scalability limits of geographical sectors and optimize the traffic at a regional level under this paradigm this project proposes to develop a dynamic air traffic flow configuration method to assess predict manage and optimize the evolving air traffic flows to enable more efficient flowcentric atfcm and airspace management to realize this first a flowpattern extraction module will be developed to identify the major air traffic flows and to characterize the traffic flow structure second with the identified traffic flow pattern a flow monitor module will be developed to observe the evolution of major traffic flows such as flow density flow rate and flow interactions integrating as well weather and environmental impact key performance indicators third with the monitored traffic flow data a traffic flow assessment module will be designed to measure the congestion and flowcapacity imbalance in the airspace followed by a flow prediction module to provide forecasts of the future air traffic flow features the fifth module traffic flow configuration will investigate the dynamic flow management strategies such as flow merge and split and flow regulation based on the flow assessmentprediction outcome this last module will allow for installation of flow regulation gates to monitor flow interactions and to regulate flights according to flow capacity an integration of these modules into a flowcentric airspace management framework can pave the way to the dynamic airspace management finally all the developments will be integrated into an innovative platform to validate the concept and methods proposed by the project
impact of tropical fire emissions on rainforest productivity

tropical fires release large amounts of particles including essential nutrients the trade winds can transport these nutrients across vast distances depositing them in tropical rainforests and potentially enhancing their primary productivity however the link between fire and rainforest productivity remains unclear this project aims to examine the influence of fire emissions on the productivity of tropical rainforests using satellite remote sensing to achieve this i will map burned areas and fire emissions in the pantropical region using highresolution satellite data and machine learning techniques subsequently i will employ a transport model to determine the trajectories of fire particles in the atmosphere and estimate their deposition on the surface of tropical forests finally i will analyse the impact of nutrient deposition on primary productivity and biomass of tropical rainforests using three satellite products 1 leaf area index obtained from optical data 2 suninduced fluorescence emitted by plants during photosynthesis and 3 vegetation optical depth a radarbased indicator of vegetation biomass to handle the substantial volume of satellite data 100 terabytes i will use a cloudbased platform with powerful computational capabilities this processing will generate valuable geospatial datasets including annual maps of burned areas fire emissions and nutrient deposition in the pantropical region as well as trend maps depicting rainforest productivity this interdisciplinary project combines expertise in remote sensing fire ecology atmospheric transport nutrient cycling and plant productivity providing novel insights into the impact of fires on the carbon sequestration capacity of tropical rainforests
comprehensive multiscale modelling of atomistic and electronic structure of radiationinduced defects in semiconductors

despite more than a century of interest in the effects of energetic particles in matter quantitative predictions of the radiation damage remain elusive in many cases the goal of this project is to transform the study of radiationinduced damage in semiconductors from an empirical approach to one of fundamental physics to obtain reliable predictions of radiation damage crucial for practical applications particle irradiation effects are of great importance since they can modify the physical and mechanical properties of materials the outcome of which is often detrimental to the materials employed in high radiation environments conversely ion irradiation also has the potential to improve material performance and ion beam modification of materials is used widely in semiconductor technology in this project i will elucidate the fundamental quantum effects under irradiation in semiconductors and their impact on the atomic dynamics through a multiscale modelling scheme employing a combination of ab initio calculations and large scale atomistic simulations the high gain from the project will be quantitative highfidelity predictions of radiation effects in semiconductors to enable the optimal design of components for power devices and the development of next generation electronics for demanding environmentsi will develop a genuinely predictive modelling scheme using a combination of stateoftheart first principles calculations machine learning methods for modelling atomic interactions and molecular dynamics simulations in multimillion atom systems together with electron microscopy simulations and ion range calculations to obtain quantitative predictions of experimentally measurable radiation effects for different irradiating particles and energies this methodology will form a truly bottomup approach to the study of radiation damage in technologically relevant semiconductor materials
in planta jet injection efficient genetic engineering of resilient crops

feeding 11 billion people by 2100 in a changing climate is a global challenge without further innovation predicted crop yield will decrease due to climate change effects moreover the number of biotic threats is increasing with pathogen pressure and infection risk showing temperaturedependency as well thus crop breeding must be invigorated to generate plants with higher yield and climate change resilience needs to be urgently met genome editing has the potential to assist classical breeding breeding based on gene editing enables faster production of crops with improved traits such as drought tolerance disease resistance and increased yield established delivery methods for in planta crop transformation are laborintensive cannot be applied to any crop species and have low transformation efficiencies often below 1delivering genomeediting cargo efficiently and costcompetitive in vivo through the hard plant cell wall is an unmet challenge with our approach we aim to generate affordable highthroughput devices that enable fast and efficient transformation of crops thus our scalable approach is compatible with mass production this in turn will open the market for transgenic plants for newcomers leading to more innovation and competition that will drive food costs for the consumers and varied products
unravelling the jurassic radiation of averostra dinosauria theropoda from new data of its most complete argentinian early representatives and exhaustive phylogenetic analyses

averostra is the majorgroup of theropod dinosaurs that includes tetanurae and ceratosauria and it constitutes one of the most debated monophyletic groups within theropoda due to the unclear interrelationship of its basal members and the relationships between their major clades from early to late jurassic an explosive radiation of averostra happened the pliensbachiantoarcian extinction event probably being one of the major causes for the explosive evolution of theropods and the radiation of averostrans the consequent rapid radiation following this extinction event and the increase of morphological changes might be closely related to high peaks of homoplasy in the basal nodes within these principal clades these homoplastic peaks together with the fragmentary nature of the fossil record of the basal members could be the cause of the problematic phylogenetic relationship of its taxa through this research project i aim to obtain a robust and synthetic view of the evolutionary drivers of the radiation of averostra during the jurassic in order to explore when averostrans originated at the latest and unravel the impact of the pliensbachiantoarcian extinction on their radiation and how the different lineages were established in the aftermath to achieve this goal the most complete early members of the two main averostran lineages ceratosauria and tetanurae the probably late early jurassic species from chubut argentina eoabelisaurus mefi and asfaltovenator vialidadi will be studied in detail these taxa are exceptionally complete and show unique character combinations which will be essential for reconstructing character transformations and the role of homoplasy in the early evolution of averostra the opportunity to lead my research to the origin of the most important lineage of theropoda would imply the enhancement of my knowledge in this matter and the development of my paleontological career
sustainable indium phosphide inp platform and ecosystem upscaling enabling future mass market subthz applications

electronic devices evolved significantly fuelling the digital transformation towards a connected society to growing need for performance speed and efficiency pushes wireless applications to operate at subthz frequencies and beyond todays technologies however come short to efficiently and effectively utilize these frequencies even taking into account technological evolutions a disruptive yet commercially viable technology is urgently needed indium phosphide inp has outstanding and unique capabilities to surpass other technologies in terms of highfrequency performance today inp is only adopted in niche markets because of its costly and scarce substrates move2thz will transform the inp platform and build a fully integrated european value chain providing commercially attractive ecologyfriendly massmarket technologies suitable for subthz frequency operation and beyond enabling emerging applications like mobiledata connectivity imaging and sensingto achieve this move2thz will radically innovate the manufacturing process by establishing a breakthrough inponsilicon inposi global standard this facilitates to upscale the wafer size volume compatible with cmos manufacturing capacities while minimizing the use of rare inp resources and ecological footprint further up the value chain the european inp platform will be developed matured and adopted through substrates manufacturing design and foundry services including integration packaging and educationthrough move2thz the technical excellence provided by our consortium and the technologies developed in this project will significantly strengthen the competitive and sovereign position of europe it will secure its supply of semiconductors in a sustainable way for the next generations of wireless applications generate a wealth of new market opportunities and make significant contributions to a highly qualified european workforce to achieve this inps adoptability must accelerate now
disk instabilities in highly accreting neutron stars

astrophusical accretion disks are the main engine of most of high energy sources although they have been studies for decades we still do not know their exact structure and their evolution with luminosity a clear example is at high luminosity for which our best theory predicts the presence in all sources of an instability which leads to the cyclic disruptionrebuilding of the disk however from the observational point of view we have observed only a handful of accreting black holes my recent work has demonstrated that these instabilities can take place also in accreting neutron stars opening a new way to study this still poorly understood process the main objective of diana is to exploit the recent advancements in highly accreting binary systems to set the most stringent constrains on the evolution structure of the accretion disk around neutron stars near the eddington limit to achieve this i will combine for the first time xray polarization measurements with fast oir observations the synergy of these two groundbreaking techniques will allow me to link directly the variations of the accretion flow structure to the relativistic ejections observed in these systems building on these observational results i will develop the first 1d model for accretion instabilities around accreting neutron stars this will represent a significant advance in our understanding of accretion disks as will allow us to compare the appearance in bh and ns providing key constrains on the origin of instabilities and informing future 3d global simulations
protect your peerless artwork with innovative nanoengineered technology

the art market has always had to deal with an endemic problem counterfeiting all art is historically at risk of being copied and sold fraudulently by counterfeiters a report by the swiss fine art expert institute estimates that over half of all the artwork in circulation is fake all this creates an incalculable loss of value for the entire market including artists auction houses insurance companies and of course the end buyers who often find themselves spending considerable sums of money only to end up with worthless pieces or even get into legal trouble works of art are generally not protected with dedicated security devices that uniquely identify the work itself the problem historically originates from the requirement not to visibly alter the artwork itself and from the relative lack of security of existing noninvasive solutionsour team at politecnico di milano aims to develop a printable new anticounterfeiting system pypaint based on carbonbased nanostructures with a specific optoelectronic response which makes it possible to create an artworks unique identifier code that is invisible to the human eye thanks to the invisibility of inks it is possible to print them directly on the artwork or on a transparent label the inks will be printed through an inkjet printer forming a pattern of spots able to create almost infinite codes readable using a special optical reader without the need for heavy metals or toxic compounds pypaint is environmentalfriendly the verification of pypaint allows access to a remote database to guarantee not only its authenticity but also its history and relationship with the rest of the artists works creating a true digital reliable medium available to the owner it only takes a few seconds to identify and retrieve all the information of interest through a multilevel security protocol with pypaint we aim at contributing to securing the extreme value of artworks in europe and worldwide