Dragon09/odtu_chatbot huggingface dataset:
identification of microbial and cellular biomarkers for short bowel syndrome in a combined in vitroin vivo study

short bowel syndrome sbs is a severe intestinal disorder that occurs in patients upon small bowel resection while rare in prevalence sbs severely affects the patients quality of life sbsmicrobe is a multidisciplinary translational project aimed at expanding our knowledge on sbs pathogenesis and the mechanisms for resectioninduced physiological adaptations through the identification of microbial metabolic and cellular hallmarks it integrates a combination of shime as dynamic gastrointestinal gi model with epithelial cellular models and in vivo patients data to gain a better mechanistic insight in disease progression severity and the interplay with the microbiota it may additionally propose attractive therapeutic strategies and provide valuable tools to address physiological aspects for both healthy and pathological conditions without the recourse to animal models hosted in the center for microbial ecology and technology at ghent university this proposal includes a secondment with sbs medical and metagenomics experts at kuleuven the applicants microbiology and cell biology expertise will be expanded with reactor engineering skills facilitating the development of novel in vitro models to address hostmicrobiota interactions in a simulated sbs environment the secondment at kuleuven offers the opportunity to gain a better insight in cohort composition and identify determinants that potentially underlie the patients clinical condition which is crucial for the mechanistic in vitro work through the development of a gi and epithelial cellular models sbsmicrobe aims at identifying key microbial and cellular signatures occurring after intestinal resection additionally this will enable the proofofconcept that targeting specific microbial and metabolic markers may significantly empower the intestinal homeostasis in sbs and ameliorate the quality of life of these patients
relapse in tall resistant clones and therapeutical options

t cell acute lymphoblastic leukaemia tall is a rare disease that affects around 1013 individuals in one million and affects pediatric and adult patients highdose chemotherapy is an adequate therapeutic treatment for most patients however 1020 of patients relapse and will require a bone marrow transplantation as a unique therapeutic window tall is a very aggressive disease and the rapidness in the response is crucial however one problem is that we cannot predict which patients will relapse several studies have been done to understand the origin of relapse and there is evidence for several strategies for leukemia evolution a the relapse clone already exists at the time of diagnosis and is selected through treatment or b treatment provides new mutations that will generate the relapse clone predicting the evolution of leukemic clones after chemotherapy pressure and understanding the specific mechanisms contributing to chemotherapyresistant cell populations appearance is necessary to improve cancer treatment in our proposal we wish to find feasible and clinically applicable ways to detect the earlierstage clones that become resistant to chemotherapy we wish to apply multiple approaches to better understand the specific clones like singlecell sequencing of primary tall samples at diagnosis and relapse and most importantly compare their evolution with or without chemotherapy treatment through 2d 3d culture and the current pdx in vivo model of leukaemia application of the 3d cell culture technique to tall clonal evolution may represent a major scientific discovery to be used for different purposes focusing on disease modelling and relapse clone study our research will be pursued to optimize a method mimicking tall in vitro characterize the cells and factors causing the relapse and use this information to identify new therapeutic options
stem cell plasticity in adult neurogenic niches

somatic stem cells scs sustain tissue renewal and regeneration in adult mammals the maintenance of their stemness and longlasting preservation in cohabitation with differentiated progeny at specific niches poses these cells to a considerable challenge to deal with it scs display a complex network of yet to be fully uncovered mechanisms that allow multilevel plasticity cellular plasticity indicates the ability of cells to reversibly change their phenotype in response to the microenvironment in the subependymal zone of the adult rodent brain selfrenewing neural scs nscs generate new neurons for preexisting olfactory circuits it is clear that nscs must be endowed with plasticity properties but the analysis of these potential traits needs a precise definition and a combination of comprehensive approaches to unravel their molecular regulation building from our new technologies and some preliminary data in this proposal we will try to advance in the molecular basis and extent of the cell plasticity repertoire of adult subependymal nscs by concentrating in three of its potential formsepithelial plasticity or the ability to dynamically and reversibly undergo epithelialtomesenchymal transitions a form of cell adaptation that has never been conceptually proposed or evaluated in adult nscscycling plasticity or the ability to move in and out of the cell cycle and remain quiescent for long periods of time this plasticity clearly exists but its molecular regulation remains largely elusiveimmune plasticity or the capacity to evade adaptive immunity our view about immunity in the brain has dramatically changed in the last few years raising interest in its potential interaction with nscsunderstanding cell plasticity traits in nscs may contribute to understand not only nsc andor sc behavior but also glioma biology and to identify pathways to intervene in brain tumor treatment
reliable conversational domainspecific data exploration and analysis

conversational ai and large language models llms such as chatgpt and bard promise to answers complex problems by performing simple conversations unfortunately their answering processes are inscrutable as well as prone to bias hallucinations and high computational costs the armada doctoral network will train 15 highly skilled early stage researchers to specialize in the area of conversational ai and the challenges associated to the recent advances in developing llms when assisting analysis in sensitive domains these specialists will acquire unique knowledge and skills in natural language processing machine learning data management and algorithms to evaluate and improve the reliability of llms a reliable llm will produce timely consistent and verifiable answers and provide guidance to the user in important decisionmaking processes this will build across 5 important axes alignment with domain knowledge explainability and soundness of answers reactivity via interactive correction workflows and effectiveness and efficiency of computations due to the highly interdisciplinary aspect the proposed program will ensure a number of training activities targeted to hone the skills of the trainees across different dimensions the network provides research training with summer and winter schools on the multidisciplinary themes as well as workshops and courses to foster complementaryskills such as scientific writing innovation supervision and management this program importantly tackles the crucial eu needs for regulating ai by offering to train experts in the area of conversational ai that will potentially advise eu bodies on technical matters related to the adoption of these technologies in critical disciplines such as medicine education and business intelligence the 8 organizations distributed in 7 countries and managed by a highly diverse team of expert researchers will form an interoperability scheme to share knowledge and skills
statedependent cloud phase feedbacks enhancing understanding and assessing global effects

the ways in which clouds change with global warming remain elusive as are the associated cloudclimate feedbacks that govern most of the spread in climate sensitivity simulated by current earth system models this uncertainty in turn limits societys ability to take necessary action to avoid dangerous climate change despite considerable research progress in recent decades additional complexities have been uncovered that further add to the uncertainty for example the understanding that many cloudclimate feedbacks change with time due to their dependence on warming levels or patterns is relatively recent cloud thermodynamic phase changes are the root cause of some of this statedependence and new research has revealed that these feedbacks could shift earths climate into a state that is more sensitive to greenhouse gas forcing than at present understanding and quantifying this statedependence is therefore critically important but such progress will require deep understanding of processes on a range of scales from the microphysics that control cloud phase to largescale impacts on climate furthermore it has become evident that different cloudclimate feedback regimes are governed by different processes with their own unique state dependence that must be investigated separately therefore the overall objective of stepchange is to understand and quantify feedbacks associated with cloud phase changes including their statedependence for three distinct cloud regimes in the following regions the arctic the tropical deep convective region and the southern hemisphere storm tracks this will be achieved through a bold and innovative research strategy which includes aircraft measurements lab experiments spaceborne remote sensing and a hierarchy of numerical model simulations stepchange builds on recent discoveries and innovations within the pis research group and is motivated by key knowledge gaps identified in recent ipcc assessment reports
innovative practices tools and products to boost soil fertility and peat substitution in horticultural crops

the main objective of spinfert is to integrate optimised and validated innovations in soil management practices and improve peatfree substrates to enhance soil health in vegetable fruit and ornamental crops spinfert will exploit outcomes including patents from several related projects in particular excalibur as 6 of its members are partners in spinfert multiactor approach is at the core of spinfert methodology and consortium for extensive knowledge transfer and codesign specifically spinfert will optimize the production process of chosen fertilising products and improve their formulation with innovative protocols to increase efficacy spinfert will leverage agrofood byproducts into resources for agricultural production exploiting them further into peatfree substrates these and reconditioned coir will be formulated with specifically selected microbial strains to improve their characteristics and applicability particularly for nursery industry all innovative products will be validated in field trials in 4 regions in europe pl i f and uk five tools will be delivered to support the correct implementation of the practices to facilitate products registration and favoring policy development including a soil holistic quality index spinfert will carry out economic social and environmental assessments of the peatfree substrates and soil management innovations to demonstrate sustainability all this information will serve to develop a comprehensive policy framework for measures fostering wide adoption of soilfriendly practices to further ensure commercial relevance of the peatfree substrates and soil management innovations smes public authorities and citizen representatives partner or advise on spinfert for effective project delivery and maximum impact artscience and imagebased tools will be utilized in communication and dissemination to increase awareness on the central role of soil health for humans and planet living
opeva optimization of electric vehicle autonomy

the project opeva aims for innovation on aggregating information from the vehicle not only from the battery but also from other internal sensors and behaviours to create a model of performance and consumption specific to the individual vehicle and its driver td1 it aims to optimize the individual driving episode using the outvehicle data such as state of the road weather charging station location and occupancy etc that are collated from the backend systems td2 opeva will further address the challenges associated with the communication between the vehicle and the infrastructure to gather data from the backend systems td3 it aims for innovation in the use of recharging stations and related applications td4 it further aims to achieve better understanding on what the battery and its constituent cells are really doing during real world use for an improved battery management system td5 finally td6 covers the driveroriented human factors for optimizing the electrical vehicle usage the tds from the most deeply embedded in the vehicle to its support in the cloud which need to interwork in an optimal fashion to deliver in one decade a better level of systemic optimisation for personal mobility that took ten decades to achieve with fossil fuels on the other hand economic factors ntd1 legal and ethical aspects ntd2 ev related development by the human ntd3 and societal and environmental factors ntd4 will be taken into consideration in the opeva methods for a higher acceptance and the awareness of the society regarding the these developments
lejo learned approaches for spatial join processing

arguably 80 of all data is spatial this calls for highly efficient and effective spatial data operations among them spatial joins are frequently needed as a key primitive in various applications such as traffic management robotics control locationbased services and even human brain modelling however existing spatial join approaches follow the traditional filterandrefinement paradigm that is data distributionoblivious as a result existing approaches are increasingly inefficient as spatial datasets to be joined become larger and more complex the project lejo is intended to make use of machine learning techniques to better understand the distributions of spatial data and accordingly design learned approaches for highly efficient spatial join processing specifically the research actions of lejo include 1 learned approaches for binary spatial joins of memoryresident data 2 learned approaches for binary spatial joins of diskresident data 3 learned approaches for multiway spatial joins the research actions will mainly concern analysis of the bottlenecks of existing approaches design of distributionaware spacedata partitioning design of learned model based indexes and join algorithms and implementation and evaluation of the proposed techniques these research actions as well as project planning and management will significantly strengthen the fellows research profile and manage skill this in turn will put him in a considerably better position for future career development after the project moreover a twoway knowledge transfer is expected as lejo combines the fellows expertise in machine learning and the host universitys expertise in spatial data management focusing on the challenging intersection of spatial data management and machine learning lejo will not only advance the frontier research in the academia but also bring about potential impacts on many spatial data application domains in and beyond europe
uncertainty prediction bias elimination in aviation technology for safety

understanding and quantifying uncertainties uq in aviation structures is vital to assessing risk and safety upbeat will create novel uq methods and tools to support the production of safer and more innovative aircraft structures and engines while reducing uncertainties in product and engineering lifecycles the project focuses on metalcomposite hybrid aerospace engine parts that are lighter more durable and cheaper innovative design solutions for hybrid interfaces can be achieved using metal additive manufacturing am bonded with carbon fiber reinforced polymers cfrp advanced models of materials and processes will be developed using sophisticated insitu and exsitu monitoring and metrology in aviation engines the outlet guide vane ogv is an essential component that helps deswirl the flow field from the fan the ogvs stiffness is crucial as it influences the engines performance and includes a major load path from its core to the wing the ogv with two types of cfrp vanes and titanium end fittings will be used as a demonstrator by combining am with advanced insitu melt pool monitoring and characterization microct nanoindentation digital models will be used to optimize design and manufacturing processes and increase awareness on efficiency safety and risk this will result in 2040 weight reduction and 5070 fewer defects streamlined product development reduces qualification time by 3040 and costs by 2535 inline quality assurance support lowers manufacturing costs by 3050 and time by 2030 upbeat will increase understanding of the process structure property performance with safety focus advance process models am cfrp for planning optimization develop verification and validation using multiscale models integrate uq in design materials manufacturing qualification certification demonstration of upbeat technologies using a complex aviation use case
cocreating a preparatory policy engagement programme for quality physical education

quality physical education pe develops healthy active and engaged citizens who form the basis of sustainable development however quality pe provision is in decline globally suboptimal policies and policy implementation have been identified as key factors in that decline due to physical educators lack of preparation for policy engagement in response this fellowship will address the need to build pe stakeholders capacity to engage in policy efforts by a identifying key facilitators barriers and content in the development of policy capacity b translating complicated policy processes into practical policy lessons and c developing a preparatory policy engagement programme for quality pe pep4qpe that is evidencebased internationallyapplicable and available as an open educational resource to do so this research engages international pe stakeholders ie teachers teacher educators policymakers professional development providers professional association directors in codesign cocreation and coassessment citizen science via the methods of a modified edelphi approach participatory research and case study the potential scientific economic and societal impacts of the proposed research are aligned with contemporary european and global development agendas including that of unesco the european commission and the who who have recently outlined that investment in quality pe is a lowcosthighimpact action and that at present there is critical need to prioritize attention to and action on pe policy to improve quality provision in addition to various advanced research and transferrable skills this fellowships research and training components draw on and contribute to the disciplines of pe education and policy studies to enhance my multidisciplinary and intersectoral career prospects and employability as a faculty member or policy leader in a european university or nonacademic organization respectively
the role of human thalamus in selective attention via novel denoising applied to magnetoencephalography

the project examines the role of the thalamus in attention gain modulation by recording brain signal in response to rhythmic auditory and visual stimulation with noninvasive magnetoencephalography the thalamus is a critical early structure modulating attention gain in the auditory and visual stream however underlying mechanisms are poorly understood not least because thalamic processes are extremely difficult to capture with noninvasive electrophysiological methods therefore this project incorporates a significant methods development element to improve source localization to obtain superior signals especially from deep sources i will employ fast rhythmic stimulation in a dual visualauditory paradigm to track attention modulation especially in the thalamus but also in early sensory areas like the retina and the early visual and auditory cortices while thalamic impact on attention modulation within a modality is thought to be weak i hypothesize that its structure and place within early sensory processing make it a prime candidate for selective attention modulation between different modalities when attention selection can happen in very early processing stages results from this project will allow better understanding of how selective attention modulates and thus filters information across the visual stream in a more realistic multimodal setting in addition the development of an improved source localization pipeline will help tap into deep cortical sources in particular and provide better source localization of noninvasive electrophysiological signals in general therefore it will benefit noninvasive cognitive neuroscience eg hippocampal activity nad also clinical research eg epileptic seizure zone detection finally this project will provide me with exceptional means to learn from worldleading scientists at aarhus university and the university of lubeck and thus form an important steppingstone towards becoming an independent scientist
implementing valuebased oncology care at european cancer hospitals an aibased framework for assessing reallife effectiveness of novel cancer therapies in realtime

oncovalue will unlock the full potential of real world data rwd collected in european cancer hospitals and institutes to ease the decisionmaking of regulators on costeffectiveness of novel cancer therapies to achieve this we build up data collection and processing capabilities of leading european cancer hospitals to create a highquality clinical quality of life and adverse events datasources with the use powerful ai technologies we will transform unstructured data originating from medical notes and medical images into structured data to enable analytics and real world evidence rwe this rwe will be directly available for clinicians for treatment management and for health regulatory and hta bodies to adopt optimized datadriven methodologies for the effective assessment of medicinal products and digital health innovations for that we will provide an endtoend infrastructure for rwd reporting in health regulatory and hta decisionmaking and address the legal constraints in the cancer hospitals to ensure secure and legal access to rwd furthermore oncovalue will ensure the implementation of the developed guidelines and methodologies by providing trainings for the collection and management of highquality rwd in european cancer centres and for the analysis of this data by hta and regulatory bodies by opening the door to widespread regulatory and hta integration of rwd oncovalue will lead to safer more efficient and affordable therapies technologies and digital solutions for personalised cancer care as such oncovalue is positioned to contribute to increased costeffectiveness and subsequent sustainability of cancer care systematic collection and evaluation of the patient reported outcomes will lead to improved wellbeing of the patients subsequently on the longterm implementation of valuebased cancer care at european cancer hospitals will aid in reducing the growing burden of cancer treatment in the eu and worldwide