Dragon09/odtu_chatbot huggingface dataset:
precision oncology of spatial immune escape mechanisms in ovarian cancer

tumor progression is dependent on the ability of malignant cells to escape the recognition and attack by the host immune system the development of more efficient cancer immunotherapies has been hampered by the perplexity of immune escape mechanisms i hypothesize that tumor genetic drivers dictate the immune escape mechanisms and that these mechanisms can be exploited to develop more effective immunotherapeutic strategies for patients with highgrade serous ovarian cancer hgsc the most common and lethal ovarian cancermy group has developed an optimized algorithm based on homologous recombination hr dna repair deficiency to enable clinically meaningful stratification of the complex hgsc genotypes we will define the immunogenicity of the hgsc genotypes via profiling tumor somatic mutations and neoantigens the celltype specific gene expressions and tb cell receptor diversities using altogether 600 hgsc samples using a cuttingedge highly multiplexed technology and advanced image analysis we will reveal the singlecell spatial landscapes of the tumor microenvironment in 200 immunogeneticallydefined hgscs we will apply pioneering spatial analyses on the singlecell data and use artificial intelligence to uncover clinically relevant spatial biology of hgscs via transcriptomic profiling of 384 spatial microregions we will discover the detailed immuneescape mechanisms of the hgsc genotypes for functional testing we have developed a groundbreaking method to establish immunecompetent patientderived organoids ipdos which faithfully recapitulate the patients tumors using our highthroughput ipdo functional platform we will test mechanismspecific immunotherapeutic approaches and capture the treatment responses at singlecell resolution the discovery and functional targeting of the immune escape mechanisms gives us unprecedented potential to open new horizons in immunotherapeutic targeting of hgsc
elevating the scalability potential of eu smart cities business for green and sustainable deep tech based solutions

the finest scaleup project brings together leading research and innovation actors to establish the baltic sear region countries estonia latvia lithuania finland and poland onwards referred to as the bsr5 as a crossborder inclusive and gender equal deep tech innovation ecosystem with the main goal to support companies startups and entrepreneurs to showcase innovative technologies attract investment and reach global marketsthe finest scaleup addresses the lack of scaleup funding for startups from less connected and developing innovation ecosystems particularly those womenled and from the deep tech sector it leverages on the finest centre as a worldclass centre of excellence for smart cities research and innovation has developed a crossborder knowledge transfer infrastructure urban operating platform that supports its piloting programme with a combined 100m budget to invest in research heavy solutions that have a strong potential to develop into deep tech companies in the finest scaleup project the finest centre capitalises on finnishestonian macro regions scientific and empirical knowledge to build and strengthen the innovation potential of gender neutral deep tech entrepreneurship across the bsr5
fairness in language models equally right for the right reasons

most of us use technology related to natural language processing nlp such as google search or virtual assistants in phones and other devices on a daily basis largescale pretrained language models hereby play a crucial role as they often form the basis of those technologies those models are trained on a large amount of training data eg the entire english wikipedia and the brown corpus which makes it impossible to curate the training corpus and potential stereotypes and biases will be implemented into the model often without researchers noticing this can lead to problematic and unfair behaviour towards certain demographics often those who already suffer from implicit biases in societywith fairer i aim to get a deeper understanding of the inner workings of these language models in particular i want to investigate how well their solution strategies align with those of humans and whether this depends on certain demographic attributes such as gender race age but also reading abilities and level of education i will also probe those language models for fairness and inclusiveness ie find out whether the performance of an nlp application depends on demographic attributes of the user furthermore i will conduct this project in a multilingual setting and apply interpretability methods to better understand the rationale behind a models decisionthe main impact of fairer will be a better understanding of how language models treat different demographics these insights will help to improve the fairness and inclusiveness of nlp applications furthermore the datasets i will record and publish along with the code will encourage other researchers to replicate my findings and continue this line of research ultimately this project will have both a scientific and societal impact on the nlp community and users of nlp applications
geothermal source thermal energy for cooling and heating in industries with steam

the geostechis project targets the decarbonization of industrial thermal processes which currently account for approximately 20 of global energy consumption and predominantly depend on fossil fuels the project introduces an innovative thermal system combining a high temperature heat pump and a heatdriven cooling unit which leverages geothermal resources as heat source sink and storage geostechis focuses on industries with sub200 c process heating needs and modest cooling requirements above 0 c aiming to reduce their carbon footprint by 60 75 compared to current fossil fueldependent solutionsthe project will achieve these goals through several key initiativesdeveloping and fieldtesting an advanced thermal system using water r718 as the working medium designed for versatility across industrial applications and efficiently utilizing geothermal sources industrial excess heat and renewables like solar thermalexploring cuttingedge concepts for hightemperature thermal energy storage tes focusing on operational flexibility in industrial contexts with sustainable thermal fluidsdevising hybrid digital modelling tools to optimize industrial thermal processes and guide industries in decarbonization through tailored roadmapspromoting societal and environmental acceptance through safe operational practices comprehensive impact assessments and advanced methodologies for geothermal energy potential mapping geos techis involves 10 partners and 1 affiliated four private industry and technology providers two universities four research organizations and a specialised communication and exploitation sme all committed and experienced within thermal research innovation manufacturing testing and dissemination thus a full complementary partnership for promoting the binomial geothermal energy industry as a key pillar
joint sensing and communications for future interactive immersive and intelligent connectivity beyond communications

the instinct project is going to enable globally sustainable interactive immersive and intelligent beyond communications 6g connectivity by developing three complementary but critical breakthrough technology pillarssensingassisted communication technologies thus allowing localization tracking mapping monitoring imaging incident detection and semantics become integral parts of connectivity services pillar 1intelligent surfaces holographic radios and cell free systems which offer wavefront engineering functionalities and tuneability of the wireless environment and can act as reconfigurable and intelligent sensors pillar 2 andmachine learning ml techniquesbased codesign of sensing and communications instinct proposes a revolutionary path to 6g and has the ambition to specify the relevant kpiskvis formulate suitable models devise the theoretical framework invent new technologies evaluate via simulations and validate by means of 2 hw and 1 sw demonstrators a networked intelligence concept able to meet the unprecedented 6g requirements to realise this vision instinct consortium brings together all relevant stakeholders from across europe with an impressive record of interdisciplinary research excellence technology innovation standardisation and transfer and implementation expertise
deltahub river delta science education and modeling hub

deltahub aims to establish a competitive era chairs research centre at the university of bucharest unibuc under the supervision of an outstanding research manager in the field of river delta science this transformation will be achieved through i integrating premier research with innovative educational programs msc and phd ii attracting top scientists to bolster the academic and research rankings iii promoting structural changes within the unibuc aimed to increase researcher mobility and collaborations it aims to cultivate excellence and diversity boost visibility and increase competitiveness for eu funding significantly enhancing unibucs research excellence and administrative capacity this initiative capitalizes on existing knowledge resources expertise and recently created infrastructure at unibuc transforming deltahub into an excellence hub for interdisciplinary research of deltaic environments in the mediterraneanblack sea area over 60 months the project will involve 18 people era chair holder 4 senior and 8 junior scientists 4 administrative personnel and 1 technician out of which 9 new positions to be recruited this effort aligns with the era chairs program and with key european and global priorities such as black sea sria he mission 3 un sdgs eu green deal and eu environmental infrastructures danubiusri lifewatch and rexdan eight wps focus on management enhancing research and educational excellence capacity building collaboration and ensuring sustainable impact on environmental management and policy engaging with stakeholders policymakers and the broader public promoting sustainable sediment management practices and developing strategies to mitigate environmental challenges facing deltaic regions deltahub will create conditions for enhanced adaptability sustainability and continuity of ecosystem services in these vulnerable areas through informed decisionmaking and management
decode and cure primary focal segmental glomerulosclerosis

kidney diseases are a worldwide rising major health problem associated with an excess risk for cardiovascular disease and reduced life expectancy while general risk factors for kidney diseases such as diabetes and hypertension are being addressed through numerous research efforts causes of specific glomerular kidney diseases especially focal segmental glomerulosclerosis fsgs remain poorly understood fsgs is the most common glomerular cause of end stage renal disease characterized by scaring of the glomerular kidney filters and podocytes loss until now the development of specific therapies has been hindered by the poor stratification of fsgs entities and the lack of understanding of immune mediated forms of fsgs curefsgs will establish a new strategy to identify key factors in fsgs first curefsgs will develop a molecular classification of fsgs entities by utilizing a worldwide unique kidney sample repository registry combined with a novel analysis pipeline of single cell analytics multiplex imaging and machine learningaided image analysis to guide clinical decision making and to provide novel molecular insights second curefsgs will precisely decode immune mediators of fsgs and systematically map the podocyte response towards immune actions by devising a novel complementary platform of immune cell analytics and podocyte in vitro ex vivo perfused kidney in vivo as well as human organoid systems third curefsgs will ultimately precision target the identified immune cells soluble immune factors or podocyte injury pathways by newly developed cellspecific aav and nanobody strategies together curefsgs will set the stage to finally understand and treat fsgs effectively
hippo signalling pathway in endosymbiosis

the rice weevil sitophilus oryzae is a pest insect which can cause major damages to cereal crops worldwide s oryzae hosts an endosymbiont the intracellular gramnegative bacterium sodalis pierantonius which produces amino acids necessary for the hosts cuticle thickening this biological interaction called nutritional endosymbiosis generally increases the weevils fitness for example as a thicker cuticle protects the host against desiccation consistently the bacterial load in s oryzae has been shown to fluctuate throughout the development with a peak in young adults at the same time as cuticle thickening however maintaining endosymbiotic bacteria also constitutes an energetic cost for the host and after the peak in young adult weevils s pierantonius load decreases as the endosymbiont is present in specialised cells ie bacteriocytes organised in organs ie bacteriomes regulation of s pierantonius load relies on a strong coordination between the two partners the hippie project aims at investigating further the regulation of the endosymbiont dynamic in order to find new sustainable strategies for pest management using symbiosis disruption by using dual transcriptomics at different developmental stages in s oryzae a recent study from the host team showed that several genes from the hippo signalling pathway were differentially expressed in young symbiotic adult weevils as compared to weevils with no endosymbiotic bacteria aposymbiotic weevils suggesting a role of this pathway in the endosymbiont dynamic the hippo signalling pathway is involved in several biological responses like growth cell differentiation cell death and tissue regeneration however its role in endosymbiosis has not been studied yet during this project we will study the role of the hippo signalling pathway in the regulation of the endosymbiont load in young adult weevils using interference rna flow cytometry imaging and transcriptomics
framework to improve the integration of patient generated health data to facilitate value based healthcare

improve will use patient generated health data pghd gathered via mhealth and ehealth technologies to gain improved insights into the reallife behavior of and challenges faced by patients of all ages with complex chronic diseases and comorbidities already today a wealth of patient and citizen information is available but fragmented and therefore not coming to its full utility and value these personal data will complement and improve existing approaches for patientcentered outcome measures beyond those currently available in stateoftheart platforms the improve platform that the consortium will build will enable the smart use of patient input and patient generated evidence to 1 advance the role of patient preference and patient experience in the context of treatment selection 2 improve medical device design based on patient preferences and experiences and 3 facilitate faster market entry of patientcentric and costeffective advanced integrated care solutions improved clinical adoption of value based health care and enhanced return on research and innovation investments will be demonstrated in different care settings across the eu for 10 use cases in at least 5 different disease areas eg ophthalmology oncology cardiovascular disease chronic inflammation and neurology the use cases will be conducted using a large variety of implementation strategies building on a design thinking approach to optimally test the innovative framework of data gathering and translation into controlled change and action in addition a significant contribution from implementation science is planned to reach out to all stakeholders that are relevant for this initiative and maximise the impact to improve healthcare provision
quantumenhanced benchtop nmr spectrometer

nuclear magnetic resonance nmr spectroscopy is the workhorse of modern molecular structural analysis with countless scientific applications from materials science to drug discovery nevertheless even the most modern nmr spectrometers still employ the same principles as 80 years ago induction coils and high magnetic fields making them bulky expensive and inaccessible to many potential users however a novel type of nmr sensor emerged recently from solidstate spin quantum systems the nitrogenvacancy nv center in diamond which has demonstrated unparalleled sensitivities in detecting nmr signals in this proposal we aim to significantly enhance the sensitivity of modern benchtop nmr spectrometers by several orders of magnitude we will achieve this improvement by combining the nmr technology field with cuttingedge quantum sensing employing improved nvdiamond materials advanced microwave antennas novel pulse sequences and quantum control protocols the goal is to achieve complete control and protection from the environmental noise of the nvspin state incorporating quantum memories and logical operations to reach radiofrequency sensitivities well beyond those of classical nmr sensors the quantumenhanced benchtop nmr spectrometer will be applied and validated in an analytical chemistry lab environment to demonstrate record sensitivities in molecular analysis enabled by quantum technology with potential applications in quality control environmental monitoring medical diagnostics online monitoring of chemical reactors and materials discovery
beyond submerged landscapes defining human response to postglacial sealevel rise and climate change

the landscapes that extended for millions of square kilometres offshore of the worlds coastlines due to low sealevel during the last glaciation and were then drowned by sealevel rise are known to preserve valuable archives of landscapes palaeoclimatic change and stratified archaeological remains with the potential to transform understanding of human history in this period of dramatic change the absence of archaeological sites across much of this vast area prevents realisation of this potential in subnordica we propose a systematic approach to develop new methods for recreating the submerged landscapes and human settlement of nw europe and assess the impact of postglacial sealevel rise we will address two questions 1 what changes to the topography and environment of the submerged landscape were brought about by rising sea level and climate change 2 how was the distribution of archaeological settlements and other traces of cultural activity impacted by this changing palaeolandscape and can we recover them in sufficient detail to investigate human impact and human response combining information from 4 regions in the southern north sea and the southern baltic we will use artificial intelligence to develop machinelearning routines to a integrate existing and newly acquired geophysical and geological data to map key areas of the changing landscape and b combine this information with data from known underwater archaeological sites to identify new targets of archaeological potential for more detailed investigation investigating these targets will use highresolution geophysical methods sediment coring archaeological excavation and geochronological palaeoenvironmental sedimentological and biological analyses of recovered deposits we will reveal a new chapter in human prehistory provide a worldleading model for the investigation of submerged landscapes and offer improved policy guidance for underwater cultural heritage management
seagrass carbon cycling and local environmental drivers

seagrass meadows have been identified as hotspots for carbon c sequestration however their full sequestration potential and its response to global change remains poorly understood and quantified large temporal and spatial variability of reported seagrass meadow carbon cycling rates limit our ability to robustly estimate seagrass meadows contribution to the global carbon cycle with the scaled project i will combine ecological biogeochemical and modelling methods to develop a mechanistic understanding of seagrass meadow carbon cycling and sequestration which will elucidate the observed variability and thereby enable robust presentday estimates and future forecasting of seagrass meadow carbon cycling during the scaled project i will receive training in the stateoftheart eddy covariance technique which i will apply alongside an ecological field survey to quantify the dominant drivers of seagrass meadow carbon cycling using predictive and spatial modelling i will make mechanistic regional forecasts of presentday seagrass carbon cycling which will provide vital information for coastal managers and will help inform regional climate change policies to further advance our mechanistic understanding and to forecast the future of seagrass meadow carbon cycling under climate change scenarios i will conduct a secondment with ecological and biogeochemical modellers where i will develop an innovative dynamic seagrass carbon cycling model the proposed interdisciplinary approach constitutes an unrivalled opportunity to increase our understanding of carbon cycling in the coastal zone and will provide me with a novel skillset that will set me up as an independent and innovative researcher
datadriven market power in the production of addiction

the dataaddict project studies datadriven market power in the production of addiction it focuses on online gambling as a key empirical example of a highly addictive digital and datadriven industry commercial operation in online environments produces unprecedented amounts of data data are circulated within networks and used to increase profit via extractive commercial practices and political influence datadriven practices can be particularly harmful when employed by industries that produce and sell addictive commodities such as gambling yet and largely due to existing asymmetries in accessing data generated and held by industry actors there has been a notable gap in our understanding of how data translate to power for addictive industries in online environments what kind of data do addictive industries collect and circulate within their networks how do these industries mobilise data to influence consumers and regulationthe project builds a theoretical understanding of datadriven market power in the production of addiction via four interrelated research streams first it charts how data are collected used and circulated by the online gambling industry and related actors second it looks at how data are mobilised by these industries to leverage power over consumers third it analyses how these industries mobilise data to influence regulation fourth running alongside the three empirical streams it forms a theoretical conceptualisation of datadriven market power by using empirically informed middle range theory building and by drawing on social theories of digital capitalism and powerthe project produces a novel theoretical understanding of power in digital addictive commodity industries and beyond the project also formulates and systemises new empirical methods to access and analyse industry data at a societal level the project generates crucial information on how to prevent harmful practices employed by addictive commodity industries