Dragon09/odtu_chatbot huggingface dataset:
scalable target identification for metabolic liver disease

metabolic dysfunctionassociated steatohepatitis mash is a prevalent liver disease that affects up to 6 of the general population and 1540 of obese persons mash is characterized by intracellular triglyceride accumulation steatosis chronic inflammation and hepatocyte injury importantly mash is prone to progress into liver fibrosis cirrhosis and hepatocellular carcinoma and even if diagnosed early the disease is associated with reductions in life expectancy of 245 years despite tremendous efforts there are currently no approved pharmacological treatments for mash mash is closely linked to obesity sarcopenia dyslipidemia and insulin resistance and it has become clear that adipose tissue pancreas and skeletal muscle produce important signals that orchestrate hepatic metabolism inflammation and fibrosis however the underlying mechanisms in humans remain poorly understoodin the 3dmash project we will utilize organotypic cultures isolated from patients with a clinical diagnosis of mash and matched controls to comprehensively map tissue interactions and to identify novel targets for pharmacological interventions by combining coculture of metabolically relevant tissues from healthy and diseased individuals in microphysiological systems mps with network biology approaches we will identify novel extrahepatic signaling that positively or negatively influence mash disease phenotypesmoreover we will use the established platform to screen chemogenomic libraries of g protein coupled receptors ion channels and nuclear receptors to identify new pharmacologically accessible targets that activate healthy signals or inhibit disease cues this project thus provides a conceptually novel perspective that considers mash as a complex pathology caused by dysregulated tissue interactions and targets these disease mechanisms which are neglected by current drug development programs to finally develop effective treatments
wheelchair activity monitoring project wham

wheelchair users wcu are three to five times more inactive than the general population leading to a high risk of developing preventable secondary conditions although physical activity pa guidelines have been specifically developed for wcu we lack systematic approaches to implement them in practice as well as valid algorithms to monitor pa change in wcu through sensorbased solutions accordingly the overall scientific aim of the wheelchair activity monitoring project wham is to advance pa research and practice in wcu by developing valid digital markers for monitoring of and providing feedback on pa paving the way for implementation and intervention i will accomplish this through combining the complementary research fields of 1 behavioural intervention studies focusing on increasing pa in wcu core competence university of british columbia ubc outgoing phase and 2 sensorbased pa monitoring core competence norwegian university of science and technology ntnu returning phase consolidated by nonacademic placement at maastricht instruments which develop research prototypes including pa monitors whams scientific aim is achieved through three objectives 1 measure the effect of a pragmatic exercise intervention trial on selfreported physical activity levels and cardiorespiratory fitness 2 develop valid algorithms for tracking pa markers in wcu and 3 cocreate a framework that outlines how pa can be conjointly monitored and provided feedback on in wcu this fellowship will enable me to become established as an internationally recognized researcher in the field of physical activity and disability while bringing together ongoing national disjointed research activities in this field altogether my overall ambition is to contribute to reducing inequalities in dailylife participation among wcu compared to the rest of the population
vet participation retention and educational policies in the wake of covid 19 a crosscountry exploration

the vetprep project seeks to understand and address the challenges in vocational education and training vet related to student identification participation and retention across various european contexts focusing on students from diverse backgrounds it examines the impact of the covid19 pandemic on the sector and explores policies and strategies in croatia denmark estonia scotland and spain through comparative studies utilizing a multidisciplinary approach and mixed methods the project investigates factors affecting vet student engagement including demographics and socioeconomic backgrounds by analyzing longitudinal data and conducting indepth interviews with selected students this research aims to provide insights into young peoples educational paths in postpandemic europe highlighting differences in socioeconomic status and educational aspirations as well as differences between the pre and postpandemic cohorts vetpreps combination of generalized knowledge and individual narratives will offer a nuanced picture of youths in the postpandemic europe furthermore with a comparative focus on differences across the european countries and across different young people according to socioeconomic status academic achievements etc we get the opportunity to understand both the consequences and relevant actions in the light of individual differences and varying societal political and educational frameworks in the five european countries the project aims to help policymakers and other stakeholders a meet their obligations under the epsr everyone has the right to quality and inclusive education training and lifelong learning including reducing the neet rate to 9 by 2030 b implement the council recommendation on vet for sustainable competitiveness social fairness and resilience c meet the goals of pathways to school success including reducing early leaving from education d meet un sdgs 4 8 9 10
promisers pfas free polymer materials for proton exchange membrane pembased fuel cells and electrolysers

the promisers project goal lies in the advancement of new non per and polyfluoroalkyl substances pfas components for pemfcs and pemels utilizing materials based on hydrocarbons and cellulose the project will achieve this objective by focusing on developing multiple disruptive approaches for ionomers membranes electrode inks and meas which are free of pfas the project is aligned with sustainability principles with no projected environmental barriers sustainablebydesign approaches and nonharmful materials will be targeted to ensure the environmental compatibility besides sustainability and zero pollution for the material fabrication also aspects such as safebydesign scalability and processing routes will be taken in account promisers represents a powerhouse consortium including four major multinational companies syensqo sof chemicals and polymers fumatech innovative membranes for energy applications industrie de nora electrochemical industry and rina consulting two smes cellfion sustainable membrane solutions and hysytech engineering two international research and technology organisations leitat tno and an european university iit promisers will deliver and validate short stacks of pemfc and pemel targeting performances of 15 wcm2 at 065 v for pemfc and 30 acm2 at 18 v for pemel and with a degradation rate 5 vhr a technoeconomic evaluation and exploitation plan will be executed to move from the technological concept trl2 to a laboratory scale multicellstack trl4 pemfc and pemel to ensure a fasttrack for its commercialisation
hyperspectral fiber photometry for flexible multiplexed optical measurements of brain function

fiber photometry allows the activity of molecularly defined neuronal populations to be measured in freely behaving animals the method is based on an implanted optical fiber through which fluorescent genetically encoded indicators of cellular activity metabolites or signaling molecules can be monitored and is widely used in neuroscience research however conventional photometry systems are not flexible and typically limited to a fixed configuration of one or two readout channels we will develop a new product based on a radically redesigned concept of fiber photometry called fused fiber photometry ffp this new design is highly flexible and allows the fiber photometry setup to be easily reconfigured to a large number of spectral configurations at low cost furthermore by combining spectral detection with spectral control of the fluorescence excitation signal we will realize hyperspectral fiber photometry fused fiber photometry and hyperspectral photometry have the potential to gain large attraction in the academic research industrial rd and manufacturing processes and in medical diagnosis the technique has therefore high commercialization potential and a competitive advantage over existing commercial systems it allows companies to offer a simple outofthebox turnkey system that can be easily modified and upgraded to meet user requirements our goal is to develop a commercializable hyperspectral fiber photometry system based on ffp we will work hand in hand with established industrial partners to bring the system to market by realizing hyfiphotometry in this poc project want to exploit the full potential of hyperspectral photometry and demonstrate the feasibility of the basic idea in the long term we aim it to drive inventiveness in the fields of biomedical research medicine and beyond in this way we expect to move our product from the niche of neuroscience to a wide range of applications that are highly relevant to society
trustworthy and resilient decentralised intelligence for edge systems

developing and managing distributed systems is a complex task requiring expertise across multiple domains this complexity considerably increases in swarm systems which are highly dynamic and heterogeneous and require decentralised solutions that adapt to highly dynamic system conditions the project tardis focuses on supporting the correct and efficient development of applications for swarms and decentralised distributed systems by combining a novel programming paradigm with a toolbox for supporting the development and executing of applicationstardis proposes a languageindependent eventdriven programming paradigm that exposes through an eventbased interface distribution abstractions and powerful decentralised machine learning primitives the programming environment will assist in building correct systems by taking advantage of behavioural types to automatically analyse the components interactions to ensure correctnessbydesign of their applications taking into account application invariants and the properties of the target execution environment tardis underlying distributed middleware will provide essential services including data management and decentralised machine learning components the middleware will hide the heterogeneity and address the dynamicity of the distributed execution environment by orchestrating and adapting the execution of different application components across devices in an autonomic and intelligent way tardis results will be integrated in a development environment and also as standalone tools both of which can be used for developing applications for swarm systemsthe project results will be validated in the context of four different use cases provided by high impact industrial partners that range from swarms of satellites decentralised dynamic marketplaces decentralised machine learning solutions for personalassistant applications and the distributed control process of a smart factory
deviceedgecloud intelligent collaboration framework

the cloud computing industry has grown massively over the last decade and with that new areas of application have arisen some areas require specialized hardware which needs to be placed in locations close to the user user requirements such as ultralow latency security and location awareness are becoming more and more common for example in smart cities industrial automation and data analytics modern cloud applications have also become more complex as they usually run on a distributed computer system split up into components that must run with high availability unifying such diverse systems into centrally controlled compute clusters and providing sophisticated scheduling decisions across them are two major challenges in this field scheduling decisions for a cluster consisting of cloud and edge nodes must consider unique characteristics such as variability in node and network capacity the common solution for orchestrating large clusters is kubernetes however it is designed for reliable homogeneous clusters many applications and extensions are available for kubernetes unfortunately none of them accounts for optimization of both performance and energy or addresses data and job localityin decice we develop an open and portable cloud management framework for automatic and adaptive optimization of applications by mapping jobs to the most suitable resources in a heterogeneous system landscape by utilizing holistic monitoring we construct a digital twin of the system that reflects on the original system an aischeduler makes decisions on placement of job and data as well as conducting job rescheduling to adjust to system changes a virtual training environment is provided that generates test data for training of mlmodels and the exploration of whatif scenarios the portable framework is integrated into the kubernetes ecosystem and validated using relevant use cases on realworld heterogeneous systems
ocean observations and indicators for climate and assessments

ocean observing is executed and financed by nations according to their national interest and needs but aligned with european and international agreements and directivesobssea4clim brings together key european and international actors within ocean observing science climate assessment earth system modelling data sharing and standards with users of oceanographic products and services with the goals of improving sustained and multipurpose observations vital to european and global climate requirements and delivering an improved observation framework based on eovecvs and embedded in a rolling review of requirements approachobssea4clim will improve regional and global climate assessments and provide projections and actionable indicators for sustainable development providedthe work program is organized around four building blocks trl781 the eovecv concept2 the regional ocean indicator concepts3 the nations multipurpose climate services ocean health ocean observing4 the integration with european and global initiativesobssea4clim will make use of ocean climate application areas such as sea ice loss ocean transports stratification sea level ocean warming and marine heat waves and ocean mesoscale regional observing will be transformed into an eovecvs framework suitable for regional and global climate products esm development cmip7 and indicatorsobssea4clim will also link to the mission restore our ocean 2030 lighthouse basinsai methods will control data quality and unlock eovecvs from existing data repositoriesobssea4clim will promote the implementation of faircare data enabling and advocating their use for versatile applications and referenced to an eovecv frameworkobssea4clim will actively lead the dialogue with european and international climate and data initiatives to ensure the necessary exchanges for implementing the obssea4clim results into the international systemin this way obssea4clim will ensure sustained eu leadership in the oceanclimatebiodiversity science nexus at a global level
guiding glioblastoma treatments by decrypting tumor biomechanics via magnetic resonance elastography

glioblastoma multiforme gbm is the most common and deadly type of primary brain tumour carrying a dire prognosis with a median survival of 146 months for patients undergoing standard treatments the causes of poor clinical prognosis are late diagnosis diffuse infiltration pseudo necrosis high neovascularization and resistance to therapy in principle drugs can reach the tumors via the vascular system but the tumor microenvironment plays the role of an antagonist to any efficient drug delivery whereby reducing treatment efficacy recent treatments combine chemotherapy with drugs which aim at renormalising the tumor microenvironment by releasing the mechanical pressure andor by reducing the angiogenesis however there are yet no imaging biomarkers clinically available which can disentangle the different effects of the therapy on the components of the tme this hinders patient management in particular dosage gliobid project aim at disentangling the therapy impact on tissue integrity and pressure from the modulation of tumour vasculature by quantifying tissue rheology with magnetic resonance elastography mre this imaging breakthrough will allow to assess the effect of treatments on the main target the tumor and the pathways to reach it the vessels and the tumour microenvironment providing a unique guidance to tailor combined therapies based on componentspecific biomarkers gliobid will involve the main experts in the field of imaging and cancer biology creating a highly multidisciplinary and eminently clinical environment this together with the complementary expertise of researcher and hosting institutions will provide the best conditions for decrypting the complexity of the problem and find approaches translatable to the clinical routine gliobid will potentially allow a paradigm shift from the current treatthenobserve approach to an observethustreat approach
lay women international experts and theologians avantlalettre legacies and entangled histories 19451962

the overarching objective of this project is to demonstrate european catholic lay womens vital contributions as international agents thinkers and theologians avantlalettre from the end of world war ii up to the celebration of the second vatican council 19451962 while several studies have dealt with lay and religious women during and after the council their pioneer role as intellectuals and international experts in the preconciliar years has significantly received less attention the history of this period has mostly been written in strikingly national secular and rather masculine terms a crucial aspect of the period was the churchs attempt to expand the ranks of lay international catholic organisations icos as a result of their engagement in shaping pastoral strategies international policies and agenda setting lay women in positions of leadership became experts they travelled extensively and gradually adopted female forms of agency as a route into maledominated arenas theology international relations and action by paying particular attention to the entangled history of belgium and spain both understood in their relationship to the wider spanish and french speaking catholic worlds by adopting an interdisciplinary approach political and social sciences visual and intellectual cultures theology anthropology and a gender perspective the project will 1 systematically recover and establish a genealogy of lay womens intellectual agency 2 map and conceptualise their collective action and transnational networks 3 illustrate the strategies used to consolidate communities of secular and religious knowledge including alternative forms of governability 4 visualise their legacies in this manner the project aims to contribute to reconfigure public perceptions about women in positions of leadership and to the promotion of gender equality and more reflective european societies
reliable invehicle perception and decisionmaking in complex environmental conditions

driving is a challenging task in our everyday life as drivers we are facing unexpected situations we need to handle in a safe and efficient way the same is valid for connected and automated vehicles cavs which also need to handle these situations to a certain extent depending on their automation level the higher the automation level is the higher the expectations for the system to cope with these situations arein the context of this project these unexpected situations where the normal operation of the cav is close to be disrupted eg odd limit is reached due to traffic changes harsh weatherlight conditions imperfect data sensorcommunication failures etc are called events events is also the acronym of this projecttoday cavs are facing several challenges eg perception in complex urban environments vulnerable road users vrus detection perception in adverse weather and low visibility conditions that should be overcome in order to be able to drive through these events in a safe and reliable waywithin our scope and in order to cover a wide area of scenarios these kinds of events are clustered under three main use cases a interaction with vrus b nonstandard and unstructured road conditions and c low visibility and adverse weather conditionsour vision in events is to create a robust and selfresilient perception and decisionmaking system for avs to manage different kind of events on the horizon these events result in reaching the av odd limitations due to the dynamic changing road environment vrus obstacles andor due to imperfect data eg sensor and communication failures the av should continue and operate safely no matter what when the system cannot handle the situation an improved minimum risk manoeuvre should be put in place
diagnosing infections with multidrug resistant microorganisms using aipowered genomic antibiotic susceptibility prediction from longread sequencing data

the silent pandemic of antimicrobial resistance amr is a growing global health crisis with a projected annual mortality rate of 10 million by 2050 addressing this crisis critically depends on fast accessible and precise diagnostics to improve detection and prevention of infection and guide antibiotic therapy current diagnostics often have insufficient turnaround time or data for timely detection and prevention of outbreaks or precision antibiotic therapy guidance and accessibility is often limited due to the required infrastructure and expert personnel to overcome these shortcomings and address amr we are developing a diagnostic based on accelerated whole genome sequencing linked with aiassisted data analysis this project termed draigon includes a consortium of internationally recognized experts in sequencing platform and assay development bioinformatics and machine learning clinical microbiology infection prevention and control antibiotic therapy and stewardship and health economics to jointly develop our in vitro diagnostic solution to target virtually any pathogenantibiotic combination we propose to validate and demonstrate the clinical utility of draigon focusing on bloodstream and prosthetic joint infections at five independent sites including one located in a medium income country representative of areas with a high amr burden and reduced access to laboratory infrastructure the diagnostic will be easy to implement and functions as an early detection system to prevent the crossborder spread of pathogens in rapidly and accurately providing pathogen id and type a comprehensive antibiogram and outbreak cluster information directly from genome data and in a single assay this innovative highresolution diagnostic aims to reinforce the global fight against amr infections and enable the antibiotic stewardship goals of right antibiotic at the right dose for the right patient and at the right time