Dragon09/odtu_chatbot huggingface dataset:
next generation toolbox for greener pharmaceuticals design manufacturing towards reduced environmental impact

pharmaceuticals have undoubtably made our world a better place ensuring longer and healthier lives however pharmaceuticals and their active metabolites are rapidly emerging environmental toxicants it is thus critical that we fully understand and mitigate where necessary the environmental impact resulting from their production use and disposal in this direction enviromed addresses two aspects of the environmental impact of pharmaceuticals a impact of the processes in manufacturing the compound and b impact of the compound itself during its lifecycle the project narrows the knowledge gap when it comes to the effect of pharmaceutical compounds and their derivatives in the environment as it enables the better understanding the environmental impact of such compounds throughout their lifecycle it aims to offer via extensive monitoring campaigns scientific studies information regarding occurrence of pharmaceuticals in the environment their persistence environmental fate and toxicity via invitro invivo models as well as application of insilico methods to provide information about the basic risk management and fate prediction in the environment brief ideas about toxicity endpoints available ecotoxicity databases and expert systems employed for rapid toxicity predictions of ecotoxicity of pharmaceuticals will also be taken into account in order to have a comprehensive approach to pharmaceuticals lifecycle assessment lca moreover the project aims at developing a set of technologies that enable greener and overall more efficient pharmaceuticals production which include a greenbydesign insilico drug development b novel sensing to allow reduction of rinsing chemicals and cycles c a robust continuous biomanufacturing line cbm which makes use of aienabled process optimisation and prediction using data assimilation based on chemical sensing and energy disaggregationmonitoring training activities and a robust exploitation
exploring the molecular properties of atmospheric freshly nucleated particles

aerosol particles are ubiquitous constituents in the ambient atmosphere ultrafine particles 10 nm show adverse effects on our public health as inhalation leads to an elevated risk of lung and cardiovascular diseases aerosol particles also influence the global climate by scattering sunlight away from earths surface and acting as seeds for cloud droplet formation combined these effects lead to an overall cooling of the earth directly counteracting the warming effect of greenhouse gases according to the ipcc aerosol particles pose the largest uncertainty in global climate forecast this uncertainty is caused by the lack of understanding of the early growth behaviour of small 3 nm particles the largest source of aerosol particles 5090 is from nucleation of vapours in the air leading to a burst of freshly nucleated particles fnps of 12 nm in size however even the basic fundamental properties of these fnps remain unknown and cannot be studied using currently available experimental techniques i propose a unique approach to target the properties of fnps by applying a versatile suite of computational methods ranging from quantum chemical calculations to application of conceptually new machine learning models the scientific objectives are 1 to determine the chemical composition and stability of fnps 2 to understand how fnps evolve over time via exchange of vapours with the environment 3 to investigate how fnps transform as a consequence of chemical reactions occurring at the surface or inside the particles the research will provide unprecedented insight into the molecular level properties of fnps this project will directly supply input parameters chemical composition thermodynamics and kinetics for atmospheric models which are crucial in order to constrain the large uncertainty in climate predictions caused by small aerosol particles
novel approach for the accurate quantitation of micronanoplastics in environmental compartments a spatialtemporal distribution study in valencia spain

plastic pollution is an issue of environmental concern intensively discussed in the scientific literature and public media in recent years particularly microplastics mps andor nanoplastics nps are a kind of pollutants potentially hazardous for ecosystems and human health that can be ingested by aquatic fauna in this context the presence of mps and a lesser extent of nps have been reported in the environment and biota however the detection of these pollutants generally it happens through techniques that allow its identification and characterization but have not enough sensitivity andor accuracy to provide quantitative reliable results therefore this project will focus on developing an accurate and reliable analytical procedure by liquid chromatography coupled to high resolution mass spectrometry for monitoring the occurrence and spatialtemporal distribution of mps and nps in environmental compartments and the further risk assessment in environmental and human health this project shows an interdisciplinary nature that involves environmental analytical chemistry and social sciences research field this latter considering the anthropogenic approach of this action in addition this proposal includes a twoway transfer of knowledge between the researcher and the host institution as well as the training of the researcher in new advanced techniques both at the host as partner institution the results of this project will allow to correlate the presence of mps and nps with anthropogenic and seasonal factors through accurate analytical methodologies moreover it will allow a better understanding of risks of mps and nps pollution for environmental and human health providing data that could be used by policymakers to emphasize this project is aligned with the european union strategy of developing accurate analytical methods for quantify mps and nps in environmental matrices and biota in order to perform appropriate risk assessment
a comprehensive method for mediumterm analysis and forecasting cmaf of global monthly prices of agricultural commodities

this is a proposal for a comprehensive methodology for mediumterm analysis and forecasting cmaf of monthly global prices of agricultural commodities the project will create a tool based on this methodology which provides a detailed explanation of the forecasts and enables their complete interpretation integrating eight econometric and machine learning ml methods cmaf will combine the joint effects of over 100 possible variables in addition it will consider the inclusion of additional potential explanators for specific needs or purposes it will use different crossvalidation techniques to avoid a priori research assumptions and realistically captures these complex relations first the learning process begins with comprehensive stationary and causality tests which detect the nature of each possible variable and its suitability to serve as an explanatory factor in the changed agricultural commodities prices secondly it performs a retrospective analysis while considering many variables from three different groups market fundamentals financial and climatic thirdly it uses relative importance analysis to reduce the number of features and include only those most essential for an accurate agricultural commodities price forecasting performance lastly it provides a detailed and intelligible visual interpretation of the results and the learning process in a straightforward manner to serve even those with no academic or financial background cmaf will be easily trained using publicly available data and will be made available open source it will also be adaptable and could be applied to forecast the prices of various agricultural commodities irrespective of budget language or other skills constraints the outcome will be a powerful and broadly applicable tool that will promote understanding in the global food trade and thus enhance food security and social equity
physics of sealevel rise contribution to shoreline erosion

global warming and accelerating mean sealevel rise slr arise the critical need for longterm multidecadal shoreline projections to inform coastal adaptation plans currently interactions among slr and other processes driving shoreline change are poorly understood and estimating the effects of slr on longterm shoreline behaviour remains an open challenge to fill this knowledge gap this project will provide new physical insights on the combined effects of waves and slr on sandy beaches and develop an equilibriumbased approach for slrdriven shoreline change shoreline data extracted from physical models satellite imagery and topographic surveys at a variety of sites worldwide allow building an unprecedented dataset of multidecadal time series of shoreline positions such time series will be analysed to investigate the relations among shoreline change and its primary drivers waves and slr and to validate the developed approach at a variety of selected sites worldwide this study will characterize the role of waves in shoreline response to slr and provide a physicsbased approach for more reliable assessment of longterm shoreline projections including the effects of slr
personality preferences and referencedependence

in recent years the study of personality noncognitive skills has significantly increased in economics there has been an explosion of empirical work that shows the promise and relevance of incorporating such factors into the field but we lack a definition of relevant personality traits in terms of primitive preferences the way we do with risk and time preferences for instance most studies rely on selfreported surveys but this is only part of the issue without a sharp agreedupon definition it is difficult to build models make predictions or elicit these measures in a way that unambiguously separates the primitives from the outcomes my aim is to provide these notionspart 1 focuses on attitudes towards success and failure and the thresholds that separate one from the other such attitudes are not only present in the way we discuss personality eg perseverance and tenacity they also appear in seemingly distant strands of economics notably through the widely used notion of gainloss sensitivity notions of aspirations etc within a standard decision theoretic setting we define such attitudes as features of the primitive preferences over lotteries we characterize the corresponding utility representations and provide indices of the intensity of each attitude in a manner analogous to the arrowpratt coefficients for riskaversion these notions have crucial implications on two main levels first they generate testable predictions for choice under risk and novel insights about central notions within the established economics toolkit second they expand the domain of economics methodology to the study of personality by providing choicebased measures grounded on preferences thereby bridging the gap between insightful notions from psychology and the desiderata of rigorous economic analysis these two aspects are the focus of parts 2 and 3 respectively which tackle the problem through a series of largescale experiments
enhancing integration and interoperability of ccam ecosystem in2ccam

in2ccam consortium according to the vision of horizon europe framework programme from 20212027 that aims to accelerate the implementation of innovative ccam technologies and systems for passengers and goods intends develop implement and demonstrate innovative services for connected and automated vehicles infrastructures and usersthe goal is providing benefits to all citizens by implementing a full integration of ccam services in the transport system the main expected positive impacts for society are i safety ie reducing the number of road accidents caused by human error ii environment ie reducing transport emissions and congestion by smoothening traffic flow and avoiding unnecessary trips iii inclusiveness ie ensuring inclusive mobility and good access for all to this aim the approach is based on the implementation and integration of enhanced physical digital and operational infrastructures to enrich ccam services and increase safety and traffic efficiency a set of physical digital and operational solutions will be proposed and implemented in 4 lead living labs lls tampere finland trikala greece turin italy and vigo spain moreover two follower lls will collaborate in the design phase by providing ideas and data assessed by simulation test and validation bari italy and quadrilatero portugal
autoantigenspecific adoptive regulatory t cell therapy against type 1 diabetes artide

type 1 diabetes t1d is an incurable disease often starting in childhood with a risk of devastating complications premature mortality and high social burden it is caused by the autoimmune destruction of insulinproducing beta cells yet the standard of care is insulin replacement acting only at the symptom level thus t1d is a disease with a high unmet need for innovative therapy ideally such therapy shall suppress selectively the immune cells driving t1d without impairing protective immunity regulatory t cells tregs are the guardians of human immune tolerance and genetic defects in tregs are associated with t1d tregs additionally possess tissue regenerative capacity making them ideal to treat t1d in cell therapy however such therapy performed with polyclonally expanded patient tregs showed limited efficacy in t1d these expanded tregs are however poor in relevant autoreactive tregs to save insulinproducing cells in fact the identification and manufacturing of autoreactive tregs remain fundamental technical challenges to successfully apply these cells in the clinic artide aims at a breakthrough in antigenspecific treg therapy in t1d by establishing the production of human tregs genetically engineered to express an autoreactive t cell antigen receptor tcr ready for clinical use to achieve this ambitious goal artide combines the complementary expertise of 8 partners providing novel technologies for the systematic identification of autoantigenspecific tregs in humans the selection of optimal tcr to produce protective tregs and innovative humanized t1d preclinical models to test their efficacy and safety as well as treg supporting strategies in vivo worldleading biotechs for adoptive t cell therapy will establish novel gmpcompatible manufacturing of highly purified tcrengineered tregs artide will deliver a treg production process and regulatory certificates that will allow launching a phase 1 clinical trial just after the project
safetravellers secure and frictionless identity for eu and third country national citizens

identity theft is rapidly expanding causing substantial financial loss to millions of people all around the world this invisible crime is also widespread across eu countries where a growing number of citizens is targeted by sophisticated fraudulent attacks each year both offline and online 56 of europeans have experienced at least one type of fraud in the last two years european security officials speak of an epidemic created by a spike in demand from asylumseekers and from terrorists carrying counterfeit documents to enter the eu security documents are increasingly being counterfeited or tampered with by criminals to facilitate transnational crime the continued vulnerability of different types of identity and travel documents makes it extremely difficult to combat this problem safetravellers value proposition aims at a strengthening the security at the borders b improving the productivity of the border authorities and leas by providing them with the appropriate tools to combat identity fraud at the hardware identity and travel document and biometrics level while c offering a frictionless border crossing experience for eutcn citizens as they will not have to stop at the border checkpoints safetravellers is both proposing a new way of citizen identification based on multiple biometrics instead of the problematic identity document as well as an enhancement of the current way of identity verification at the borders through a set of tools that will detect attacks at the biometric hardware identity and travel document fraud and attempts to falsify biometrics the proposed solution is gdpr compliant and introduces various privacypreserving mechanisms to safeguard the citizens rights through the distributed european multibiometric data space offered by safetravellers each member state will keep in its jurisdiction the personal data of its country nationals while allowing crossborder identity checks without transferring or revealing any biometric data
greenhouse gas fluxes and earth system feedbacks

the ambition of greenfeedback is to enhance knowledge of the ghg dynamics in the ecosystems and link ghg in terrestrial freshwater and marine ecosystems to provide a solid basis for estimation of regional and global climate feedback processes taking human pressure on ecosystems into account greenfeedback will study the processes in sensitive terrestrial freshwater coastal and marine areas of which some are hypothesized to be tipping elements in the climate system thus we will primarily focus on high latitude terrestrial and freshwater systems marine shelves and ocean areas and thereby advance the processbased representation of ecosystems in earth system models esm the analysis will involve codesign between scientists and stakeholders we will use data from the icos and actris stations in europe and the gios gem and smear network in greenland and finland as well as data from dedicated field and laboratory studies the enhanced knowledge will be used to improve descriptions of the ghg processes for implementation in ecosystem models and esms hence greenfeedback will improve and apply ecosystem and earth system models to advance our understanding of ghgs effect on climate variability over different time horizons
developing the thermodynamics of quantum control

arguably one of the biggest difficulties facing quantum engineers is quantum control quantum systems are incredibly sensitive which is one of their greatest assets but also and their achilles heel one can leverage the general theory of feedback and measurementbased quantum control to enhance quantum capabilities to a desired functionality but there is a problem as quantum systems can be perturbed by those very measurements leading to a loss of controlthe aim of this proposal is to develop a general and widely applicable thermodynamic framework of measurementbased quantum control which is abbreviated to the thermodynamics of quantum control tqc studying quantum control through the lens of thermodynamics is a novel idea and allows one to utilise the powerful tools developed in quantum thermodynamics i will unify the stochastic behaviour of quantum measurements and quantum control with the stateoftheart research in stochastic quantum thermodynamics we will validate our proposal by developing testable protocols that can be implemented using current quantum technology and will commence designs with an experimental team in the later stages of the project the timely results will answer fundamental questions regarding the effectiveness precision and efficiency of measurementcontrolled sensors and engines the research will be carried out in the perfectly suited thermodynamics and energetics of quantum systems qusys group of prof john goold at trinity college dublin
privacy compliant health data as a service for ai development

artificial intelligence ai enables datadriven innovations in health care ai systems which process vast amounts of data quickly and in detail show promise both as a tool for preventive health care and clinical decisionmaking however the distributed storage and limited access to health data form a barrier to innovation as developing trustworthy ai systems requires large datasets for training and validation furthermore the availability of anonymous datasets would increase the adoption of aipowered tools by supporting health technology assessments and education secure privacy compliant data utilization is key for unlocking the full potential of ai and data analyticsin this proposal we will advance the current stateoftheart data synthesis methods towards a more generalized approach of synthetic data generation we will also develop metrics for testing and validation as well as protocols that enable synthetic data generation without access to realworld data through multiparty computationwe aim to provide 1 improved methods and technical pipelines for privacypreserving data synthesis including different data formats such as ehrs and medical images 2 easy to use and configurable data services to enable ai developers access to larger pools of decentralized deidentified data through multiparty computing 3 provide anonymous data on demand or from a temporary repository 4 establish a data market facilitating data sharing and monetization incl incentivesbased provision of data to the services 5 integrate the data market and the data service ecosystem as a xeuropean health data hub in the european health data space and 6 validate the results with realworld usecases focusing on high impact diseases cancer types in particular
naturaconnect designing a resilient and coherent transeuropean network for nature and people

together with key stakeholders naturaconnect will codevelop knowledge tools and capacity building programmes to support member states in implementing an ecologically representative resilient and wellconnected transeuropean nature network tenn that builds on the existing network of protected areas and green and blue infrastructure through research engagement and dissemination activities at the european scale and in a set of six case studies we will elicit stakeholders visions and preferences about conservation objectives tap into best practices in protected areas management and funding mechanisms mobilize data and test the tenn spatial prioritization analyses and tools produced by naturaconnect this addresses two major obstacles identified by the eu nature legislation fitness check lack of stakeholder awareness and cooperation and insufficient knowledge and access to existing funding mechanisms naturaconnect will further address a third major obstacle limited availability of knowledge on biodiversity distribution drivers of change and conservation solutions to address this naturaconnect brings together a consortium of the top european scientists policy experts and ngos to produce and mobilize relevant data and knowledge this includes refining and applying stateoftheart models on biodiversity ecosystem services and environmental change across europe and under current and future climate and landuse equipped with improved data knowledge models and spatial planning methods we will identify gaps in protected area coverage connectivity and resilience under climate and landuse change we will further develop scenarios for expanding protected areas establish ecological corridors and other areas of connectivity to address these gaps thereby offering a blueprint for realizing tenn naturaconnect will further provide knowledge and decision support for policy financing and implementation of tenn at all relevant scales