Dragon09/odtu_chatbot huggingface dataset:
improving quality of life of advanced pancreatic cancer patients through an aiguided multimodal intervention combining pain and cachexia management nutrition and physical activity

pancreatic cancer has the lowest survival rate amongst other cancers and is responsible for 95000 deaths every year in the eu its treatment is usually palliative aiming at slowing tumour progression and at symptom managementthe main hypothesis of relevium is that quality of life qol of advanced pancreatic cancer patients can be significantly improved by reducing pain and cachexia through highly personalised nutrition physical activity and pain management strategies in addition to chemotherapy treatment to achieve this relevium will empower patients with digital tools that facilitate patientdoctor communication and enable them to selfmanage their disease relevium will use i a multisensor smartwatch and an innovative remote ultrasound patch ii ai algorithms for continuous remote monitoring of pain and sarcopenia as well as for decision support and iii patient and caregiver applications combined these tools will provide a stream of evidence on symptom progression and will enable physicians to apply personalised care plansrelevium brings together an interdisciplinary team of experts and will also involve patients and their caregivers in an iterative cocreation process the project will initially conduct a feasibility and data collection study releviumfdc n130 the study aims at optimizing patient adherence and compliance and at collecting data for the development of the intervention a fivecentre randomized clinical trial releviumrct will then evaluate the efficacy of the proposed personalised care plans for advanced pancreatic cancer patients n132 in terms of their qol several secondary outcomes will be investigated such as the costeffectiveness of the intervention its potential in increasing health equity and in relieving the stress burden on the patient familiesthe study outcomes will result in recommendations for integrating remote monitoring and improving qol outcomes in palliative care for advanced pancreatic cancer
incentivising future forest ecosystem services and incomes in europe

forests are crucial for climate mitigation biodiversity protection water flow regulation recreational cultural and health services and many other forest ecosystem services fes yet as our key challenge europes forests at present critically undershoot their potential to deliver fes climate change will affect future fes supply societal demand for fes will be complex and highly dynamic some fes economic values are ill explored facing these challenges intercede will help to better match future fes supply and demand from europes forests first we will project theoryinformed yet evidencebased scenarios for future fes supply and demand second as recognized in the eu forest strategy marketbased instruments mbi can be key in improving tailored incentives and incomes for forest owners to manage their forest for socially optimal fes provision mbi can thus help aligning fes supply with multidimensional demand we will comprehensively map and evaluate europes current mbi landscape adding new rigorous impact evaluations of payments for environmental services pes schemes while also assessing the eus rural development programme rdp investments from a pes angle from this we will develop effective adaptable and scalable mbi policies we can only achieve this by systematically connecting research to policy and practice creating our multiactor aligned transdisciplinary forum as key interface our consortium brings together small and mediumsized enterprises assisting forest owners in fes management practices organisations representing landowners and environmental interests and researchers who excel in modelling and valuing fes in the economics of instrument design and in governance and policy analysis the consortium will midway in the project set up an accelerator service for new or preexisting pes and mbi schemes piloting new designs and mbi business models to boost the development outcomes and impacts of targeted interventions
harnessing halogen bond in perovskite solar cells

it is established that fossil fuels enabled a huge global economic growth although resulted to a fragile equilibrium between fuel prices and economic development an unsustainable exploitation of the natural resources and prompted the ongoing environmental and societal crisis solardriven energy production is pivotal for glassarchitecture buildings public transportation domesticcorporate rooftopswindows and rural areas ie greenhouses oriented to eu policies for decarbonization of the eu building stock and european green deal for efficient clean and cheap energy in the last decade solutionprocessable metal halide perovskite solar cells pscs a technology originated from dyesensitized solar cells dsscs the most prominent alternative to the dominant 95 market stake 1st gen pvs has emerged major drawbacks towards the commercialization of pscs are the i instability in prolonged environmental exposure moisture oxygen irradiation ii toxicity of employed lead and its derivatives ie pbi2 and iii crystal defects resulting in energy losses due to nonradiative charge recombination halocell aims to hamper losses due to nonradiative recombination embody protection towards environmentally drivenhydrolysisoxidation and manage toxicity of pscs and luminescent solar concentrators lscs harnessing a holistic halogen bonding strategy multifunctional tailored organic compounds will be utilized to enable selective interplay with perovskite crystal lattice via halogen bonding interactions towards pscs with power conversion efficiencies and longterm stability under stress conditions illumination high temperature ambient air exceeding current stateoftheart the newlydeveloped pscs will be exploited as solar cells coupled to luminescent solar concentrators for the fabrication of smart architecture elements plexiglass windows
artificial intelligence for the european open science cloud

the ai4eosc artificial intelligence for the european open science cloud delivers an enhanced set of advanced services for the development of artificial intelligence ai machine learning ml and deep learning dl models and applications in the european open science cloud eosc these services are bundled together into a comprehensive platform providing advanced features such as distributed federated and split learning novel provenance metadata for aimldl models eventdriven data processing services or provisioning of aimldl services based on serverless computing the project builds on top of the deephybriddatacloud outcomes and the eosc compute platform and services in order to provide this specialized compute platform moreover ai4eosc offers customization components in order to provide tailor made deployments of the platform adapting to the evolving user needsthe main outcomes of the ai4eosc project will be a measurable increase of the number of advanced high level customizable services available through the eosc portal serving as a catalyst for researchers facilitating the collaboration easing access to highend paneuropean resources and reducing the time to results paired with concrete contributions to the eosc exploitation perspective creating a new channel to support the buildup of the eosc artificial intelligence and machine learning community of practice
topological and measurable shadowing properties in dynamical systems

in the realm of dynamical systems the study of the shadowing property has emerged as a pivotal endeavor offering profound insights into the behavior of chaotic systems this project delves into the intricacies of the shadowing property across three distinct frameworks shadowable measures and points cwhyperbolic homeomorphisms and singular flows each with their unique characteristics and challenges with a focus on these disparate contexts our investigation aims to unravel the implications of shadowing for the chaotic nature of such systems while also unraveling the obstructions that arise in continuous time casesour exploration into shadowable measures and points harnesses we seeks the existence of invariant shadowable measures and their role in the existence of odometers shedding light on the fundamental nature of periodicity in chaotic dynamics in the domain of cwhyperbolic homeomorphisms we navigate the dynamic interplay of hyperbolicity and chaos our focus extends to investigating periodic shadowing periodic specification measures of maximal entropy and the discovery of new examples that contribute to the broader landscape of chaotic systems theory furthermore our investigation extends to singular flows where we confront the nuanced challenges presented by singularities in continuous time dynamics we investigate when the existence of attached singularities forbids a flow to satisfy the shadowing property this exploration not only advances our understanding of continuoustime systems but also evidences a remarkable difference between the discretetime and continuoustime contexts
dynamics of adaptation and resistance in cancer mapping and controlling transcriptional and epigenetic recurrence

tumours evolve transforming from earlystage curable disease into treatmentrefractory deadly cancer therapy resistance is arguably the biggest problem in oncology today and much of it remains unexplained the central hypothesis of this proposal is that a large proportion of unexplained drug resistance is due to heritable epigenetic alterations and nonheritable transcriptional plasticity in cancer cells i refer to these mechanisms as the dark matter of cancer evolution genetic epigenetic and transcriptional adaptation together with changes in the tumour microenvironment may happen at the same time in the same tumour lack of knowledge of these mechanisms hinders the development of new treatments strategies tackling drug resistance requires a unique combination of clinical cohorts experimental models evolutionary biology and computational methodsi will map and quantify the mechanisms and evolutionary dynamics of genetic and nongenetic drug resistance at unprecedented scale i will focus on colorectal cancer the third most common cancer and second leading cause of cancerrelated death worldwide i will use patientderived organoid models matched to clinical cohorts followed longitudinally i will measure organoid evolution under the pressure of cancer drugs with and without the tumour microenvironment i will track cell lineages with lentiviral barcoding and perform longitudinal single cell multiomics measuring genomes epigenomes and transcriptomes of the same cell i will interpret the results within a unique computational framework that brings together evolutionary theory with machine learning to measure predict and control resistancethis project will identify new mechanisms and dynamics of cancer drug resistance deliver new predictive models and find novel collateral drug sensitivities this will allow designing rational drug combinations and schedules that will prevent or delay resistance drastically improving patient outcome
cell mechanics of megakaryocytes in 3d tissues deciphering mechanobiology of platelet formation

homeostatic platelet counts are crucial for vascular integrity and vital to life megakaryocytes meks are giant hematopoietic cells forming large protrusions that fragment to constantly replenish the circulating platelet pool nevertheless severe blood loss sepsis and aggressive cancer therapies often cause critically low platelet levels a major public health problem in europes aging population despite the unmet clinical need to control platelet production there is a major lack of knowledge about the mechanistic cell biology of meks hampering the development of innovative therapies mekanics will go beyond the state of the art and proposes a combined cell biological and biophysical approach to study meks in physiological tissue environments to uncover the mechanical principles that drive platelet formation i will use quantitative microscopy to characterize cytoskeletal dynamics of meks confined in 3d environments of controlled adhesiveness geometry and stiffness to reveal the mechanisms of force generation and transmission critical for mek protrusion formation further i will explore how protrusion mechanics affect cytoplasmic transport and partitioning of organelles required for functional platelets using superresolution intravital imaging i will investigate these processes in their physiological bone marrow niche by integrating scrnaseq and livecell microscopy i will map morphodynamics with transcriptomics to identify the gene signature initiating protrusion formation of meks in response to mechanical stimuli a novel mek cellsystem with optimized access to genetic manipulations will allow highthroughput screening of candidate genes together the unique combination of genetics engineering quantitative microscopy and intravital tools will provide a holistic cell mechanical model of meks in 3d tissues paving the way for new therapeutic approaches to control platelet formation and to advance devices for largescale platelet production
gatekeepers to international refugee law the role of courts in shaping access to asylum

pushbacks walls fences detention measures and externalisation of asylum proceedings are the most widespread barriers that states around the globe implement to keep refugees out and consequently prevent their access to international protection in a global refugee context lacking an international court to interpret the 1951 refugee convention rc the burden of assessing the compatibility of these barriers with the rc lies on domestic and supranational courts these separate jurisdictions are interpreting the same treaty are often presented with similar factual circumstances and have a duty to uphold the rule of law yet we do not know if courts around the globe have systematically yielded similar or different interpretations on the compatibility of statedeveloped barriers with the rc and if common patterns have developed whether or not they uphold those barriers in light of the rc despite these overarching problems the literature has so far had a piecemeal approach we thus lack an empirically driven sociolegal comparative analysis of the role of courts in interpreting the right to access asylum access will introduce an empirically driven theoretical model of how domestic and supranational courts develop international refugee law irl and advance the executive driven model of migration governance in response to statedeveloped barriers more specifically we will investigate 1 how do judges apply the same legal treaty rc and related international norms in different political and sociolegal contexts 2 to what extent are there any discernible patterns in the courts decisions related to barriers to asylum either restricting or expanding access to asylum 3 what are the sociolegal factors influencing adjudication and 4 how have courts developed irl in response to these barriers given that we are faced with the highest displacement figures on record and the increasing barriers to asylum access is of topical importance
the role of diversity on tropical forest biomass dynamics effects of disturbance and biogeography

the importance of biodiversity in supporting ecosystem functioning especially biomass productivity has motivated numerous research questions however controversial results have been found so far while testing a direct link between diversity metrics and biomass an approach that discards the fact that biomass is a composition of three other variables number of stems wood density and mean aboveground volume it is only possible to access the role of diversity on biomass by separating the components of agb since diversity operates through different and nonexclusive ecological mechanisms that act separately on different agb components the selection effect se and the complementarity effect ce the se or sampling effect emerge as a result of a hyperdiverse community having a greater chance of containing particularly productive species while the ce states that plant communities consisting of multiple species that coevolved to occupy different environmental niches can partition limited resources more efficiently thus providing greater biomass compared to that expected from monocultures this proposal aims at developing a new conceptual framework that will help test 1 how diversity drives variation in biomass and productivity through different ecological mechanisms acting on specific components of biomass 2 whether historical disturbances influence the current effect of diversity on biomass and biomass productivity and 3 whether the effect of diversity on biomass and biomass productivity differ among the neotropics afrotropics and asian tropical forests these objectives will be achieved via i disaggregating agb in wood density stem density and mean aboveground volume components and ii separating the effect of se and ce to assess the effects of diversity metrics on agb components through specific indirect pathways including effects related to variation in forest characteristics across continents and canopy packing
cn bond formation by nitrous oxide capture

nitrous oxide commonly known as laughing gas for its physiological effects is both a potent greenhouse gas an ozone depleting substance indeed it is a major contributor to climate change thereby posing a critical concern for contemporary society it possesses a warming potential approximatively 300 times that of carbon dioxide and due to its high chemical stability it persists in the atmosphere for over 100 years despite its chemical inertness synthetic chemists have discovered ways to harness its potential primarily used as an oxygen atom donor its applications encompass oxidation processes including the industrialscale oxidation of olefins to ketones in contrast there are limited reactions wherein nitrous oxide serves as the source of nitrogen atoms cn bonds are prevalent in natural products synthetic intermediates pharmaceutical compounds and functional materials in this project i will explore the chemical capture of nitrous oxide using carbon nucleophiles to form cn bonds i will develop new synthetic methodologies to access versatile organic functional groups such as diazenes hydrazines and amines using this approach we foresee that this research will benefit both the environmental crisis and the chemical industry it will introduce new practices that enable the repurposing of ecologically problematic gases into valuable chemical commodities
imaging and characterization for a sustainable world

i4world imaging and characterization for a sustainable world is a novel international interdisciplinary and intersectoral doctoral programme for 25 esrs hosted at the university of oulu the programme trains future research and innovation leaders for the global challenges of sustainability transition in un sustainable development goals topics good health and wellbeing affordable and clean energy sustainable industries and production and clean water biodiversity and environment i4world is based on full exploitation of the possibilities of modern imaging and characterisation methods in multidisciplinary research the programme combines six faculties and 24 research units of uoulu and is driven together with 18 international academic partners 9 private companies five research organizations two public sector organisations and an industrial association i4world brings together the complementary expertise of worldclass researchers in training esrs with interdisciplinary visions in highly relevant un sdgs research areas the programme will provide esrs comprehensive understanding on aspects of the sustainability and firsthand understanding on how research develops from science findings to interdisciplinary innovations and commercially valuable applications equality and diversity are inbuild values of the programme in its training actions as well as in dissemination and communication i4world provides structured doctoral training responding to the need to train skilled nextgeneration esrs to european job markets in industry public sector and academia programme exploits local national and international strengths of the network partners having excellence in research cuttingedge infrastructures and collaboration networks i4world builds upon a critical mass of expertise and provides a unique combination of complementary methodological approaches for highquality training that would not be possible to implement at any site or organisation alone
towards highperformance thermoelectric generators based on twodimensional conjugated metalorganic frameworks

t2dmof is targeted at offering an extremely skilled and promising emerging researcher with a phd in organic chemistry and an outstanding track record a highest quality training through research in the crossdisciplinary suprasectoral and burgeoning field of 2d electronic materials by developing a green solution to address the global challenge of energy generation thermoelectric generators can convert temperature differences directly into electrical voltages via the seebeck effect however the currently used thermoelectric materials inorganicconducting polymers have critical drawbacks as they contain highly toxic elements require high micronanofabrication costs display limited stability etc t2dmof aims to develop a novel class of twodimensional conjugated metalorganic frameworks 2d cmofs to overcome the abovementioned challenges in conventional thermoelectric materials while proposing reliable structureproperty relationships to guide the design of nextgeneration mofbased thermoelectric materials the diversity of 2d cmof synthesis methods filmpowder enables planar flexible or columnar array thermoelectric generators to be realized in view of different practical application scenarios t2dmofs overall objective is to train the fellow to become a mature and independent top scientist and to prepare him for a leading position in academia or industry in europe
unmanned aerial vehicles for nonterrestrial communications and sensing

satellites and unmanned aerial vehicles uavs represent a perfect match for nonterrestrial sensing and communications in 6g hence it is of great interest to combine uavs with satellites to maximize their respective advantages for emerging applications this project tackles the challenges of using uav for nonterrestrial communications and nonterrestrial sensing in combination with satellites for 6g the objectives of this research include1datadriven uav deployment to perform intelligent analysis of the spatial and temporal needs for uav deployment using data mining techniques in important 6g scenarios2communications and sensing channel modelling to establish realistic channel models to describe the 3d environment in nonterrestrial applications3separate nonterrestrial communications and sensing designs to develop efficient data transmission strategies to ensure the reliable delivery of information and the accurate acquisition of network perception using new channel models reconfigurable intelligent surfaces and computer vision4integrated nonterrestrial communications and sensing designs to devise robust signal processing and networking algorithms to integrate nonterrestrial communications with nonterrestrial sensing using dualfunctional waveforms and uav wireless charging based on the previous separate designs5sensingbased communications designs to design effective nonterrestrial communications methods using the network information acquired from nonterrestrial sensing6disseminate exploit and communicate the outcomes of this research to the wider community achieving the above measurable objectives will provide crucial inputs to the exploitation of uavs in nonterrestrial communications and nonterrestrial sensing for 6g by solving its major challenges which will allow us to address the digital inequality issue and to enhance the terrestrial network functionality