Dragon09/odtu_chatbot huggingface dataset:
mental health promotion in healthcare workforce helpcare a realist and economic evaluation of an intersectoral and multilevel intervention in denmark

supporting the mental wellbeing mwb of healthcare workers hcws is a global public health priority with farreaching societal and economic consequences hcws face multiple occupational risks that can significantly affect their mental health the covid19 pandemic has exacerbated strained working conditions in hospitals leading to increased rates of stress depression and burnout particularly among women and nurses this has resulted in a concerning shortage of hcws triggering a negative cycle of deteriorating working conditions reduced job satisfaction compromised healthcare quality and patient safety to address this critical issue an intersectoral action using innovative multilevel interventions promoting mwb is necessary however the lack of robust evidence of costeffectiveness for preventive approaches in the healthcare sector hampers informed health policies and sustainable actions three major hindrances to progress are identified the absence of positive mental health indicators mwb as the primary intervention outcome the need for a multifaceted approach considering individual and organizational factors and the lack of health economic evaluationsthe helpcare project emerges as a solution aiming to provide a realist and economic evaluation of a multilevel mwbbased intervention in the public healthcare sector launched by the technological company howdycare in denmark the study will use structural equation modeling sem and costbenefit analysis on large longitudinal data of danish hcws to understand how this type of intervention works and its economic impact helpcare entails a strong intersectoral collaboration academicpublicprivatengo whose findings will pave the way for more effective interventions to enhance hcws mwbthe involvement of leading experts in the field from the department of psychology at university of copenhagen offers valuable resources and infrastructures for the success of this project and my career
advanced analysis of multiparametric volumetric ultrafast ultrasound a novel approach for noninvasive breast cancer diagnosis

tumour development follows a diversity of complementary biological pathways including the modification of the tissue structure and vascularization which are not currently captured by imaging techniques in the clinic breast cancer patients undergo a series of imaging sessions using complementary modalities including ionizing mammographies in many cases this imaging is not precise enough for a diagnosis so that tissue samples in the form of biopsies are used to further characterize the tumour and determine the appropriate treatment beyond the pain and stress associated with biopsies this complex process is costly and time consuming and delays the time to diagnosisultrasound bmode imaging is largely used in the diagnostic process of breast cancer in part because it is low cost portable and largely available as well as nonionizing and noninvasive our laboratory institute physics for medicine paris has recently developed several quantitative techniques allowing for the measurement of tissue stiffness fiber organization and vascular mapping all relevant to tumour development in this project i propose a new approach to diagnosing breast cancer noninvasively by applying machine learning analysis to rich volumetric multiparametric maps of complementary tumour aspects obtained using these innovative ultrafast ultrasound techniques the project will tackle the technological challenge of integrating these techniques into a common acquisition and analysis framework and include the collection of a large clinical dataset and the development and validation of a predictive malignancy model informing on tumour characteristics for the diagnosis this approach will open the door to fully virtual biopsies impacting society on a large scale in terms of cost diagnostic efficacy and patient comfort
an euwide springboard for regional implementation of innovation procurement

this project is a preparatory action for creating innovation procurement policies and instruments that can be effective and sustainable at regional level but also relevant at european level the preparatory work will be achieved by using four european regions that cover the full range of innovation performances defined by the ecs regional innovation scoreboard as development sites murcia es skne se bucharestilfov ro and oulu fiduring the project the project consortium will1gather information from i regional public bodies in charge of innovation policies and funding instruments and ii innovation ecosystem players which propose and execute projects using state of the art learnings and best practices2analyse this information to produce a joint programme and four regional action plans to incorporate innovation procurement to each regions policy and increase its impact by leveraging eu initiatives and fundingthe prepare consortium will produce and widely disseminate addedvalue results including a knowledge asset on the state of the art of innovation procurement and policy recommendations exploitation initiatives will deliver capacity building policy promotion at eu national and regional level and the engagement of a network of eu regions interested in leveraging public procurement instruments to foster impactful innovation
printed perovskite solar cells for large area user applications

renewable energies provide clean inexhaustible and increasingly competitive energy source differing from fossil fuels in diversity abundance and potential for use solar energy capacity in european union has been increasing in recent years with germany spain and poland leading the way in new installations in 2022 the european union added a recordbreaking 414gw of solar power increasing the total solar power capacity by 25within the solar energy market perovskitebased solar cells pscs will contribute significantly towards the overall mix of solar energy due to pscs differentiators compare to other solar photovoltaic technologies of i lowcost ii excellent powertoweight performance and iii high power conversion efficiency pce of 257 at labscale in 2022 up from 38 in 2009 a key challenge of psc technology is replication at largescale as there is a substantial difference in performance from smallarea cell labscale and largearea module performance perseus is designed to establish a foundation for psc production and application development within europe the project will develop and demonstrate 3 different large area psc architectures that offer broad adoption potential across multiple industries such as floating photovoltaics building integrated and applied photovoltaics agriphotovoltaics and urban photovoltaics as each enduser requires different properties eg performance lifetime and cost targets perseus will develop parallel solutions to meet enduser needs covering 1 singlejunction opaque modules 2 semitransparent modules and 3 4t perovskite cigs tandem module architectures these will be translated into blueprints of multistage manufacturing lines which have validated matched outputs and allow immediate postproject progress to the commercialization phase
innovative design and implementation of nextgeneration pointofcare cart

innocart is a doctoral network designed to provide training and carry out breakthrough research on the high impact field of chimeric antigen receptor car t cell immunotherapy in a carefully integrated academic and intersectoral programme we aim to develop nextgeneration cart therapy and deliver a set of young researchers uniquely qualified for a career in academia andor industrycart cell therapy represents a revolutionary advance in oncology particularly for b cell lymphoma patients however longterm response is still restricted to 50 of patients with resistance being even more prominent in other cancers thus additional innovations to overcome resistance are needed to improve cart responses unfortunately the currently centralized production of cart hampers rapid innovation and associates with prohibitive costs long veintovein time and poor carbon footprint due to intercontinental deliveryinnocart aims touse innovative academic and industrial concepts to address these issues by 1 developing innovative manufacturing solutions for cart production at local academic hospitals and 2 developing the nextgeneration of more effective cartsat the core of innocart is its training objective to offer a cuttingedge multidisciplinary training programme herewith outstanding young scientists can generate breakthrough ideas and assume leading positions in academia and industry the training programme includes an array of disciplines ranging from biomedical sciences eg immunology car engineering geneediting physical sciences to mechanical engineeringindustrial partners are central to the programme and provide pivotal expertise on how to translate scientific discoveries into commercial reality intersectoral partners will host doctoral candidates provide key secondments and networkwide training events further innocart will foster longterm multidisciplinary research and bilateral cooperations between academia and industry
innovative community engagement for building effective resilience and arctic ocean pollutioncontrol governance in the context of climate change

the iceberg project has a twofold aim to comprehensively assess sources types distributions and impacts of pollution in combination with chronic climateinduced stressors on ecosystems and communities in the european arctics landocean continuum using a one health approach and to develop strategies for enhancing communityled resilience as well as pollutioncontrol governance to this end the project focusses on three subregional case studies western svalbard southern greenland and northern iceland iceberg investigates known and emerging pollutants including macro micro nanoplastics ship emissions wastewater persistent organic pollutants dioxins pcbs pfas pahs old and new generation pesticides and terrigenous elements heavy metals to assess the effects of pollutant discharges from arctic ship traffic freshwater dischargecryosphere meltwater wastewater and landbased atmospheric pollution on the marine food web the project is using model simulations and complementing these with remote sensing insitu observations and measurements iceberg analyses the sanitary quality of the food chain by characterising chemical contaminants using an exposomics approach gaining a comprehensive understanding of the synergistic impacts of climate change and pollution on human health it evaluates toxicological impact of micro and nanoplastics and pops on human digestive health the project develops automatic marine litter detection tools combining use of drones ai and citizen science iceberg champions multistakeholder and genderbased approaches to assess the impacts risks and vulnerabilities on indigenous and local communities and cocreate scenarios of change scenario modelling is used to codesign local pollutioncontrol strategies which includes both mitigation reducing pollution and adaptation reducing vulnerability to pollution iceberg creates novel governance approaches pollutioncontrol in the arctic at multiple scales
development and characterization of a novel car tcell therapy for nhl

nonhodgkin lymphomas nhl are a group of blood cancers characterized by the expansion of malignant b lymphocytes creating tumors throughout the body the standard of care for patients with aggressive nhl is a combination of chemotherapy and immunotherapy even though it is well tolerated 40 of the patients respond poorly and eventually relapse novel personalized treatment options are now available for such individuals and engage patients own t cells genetically manipulated to express a chimeric antigen receptor car capable to recognize and attack malignant cells thus far cart products recognizing and attacking cells expressing the protein cd19 have been approved by regulatory agencies across the planet however longterm followup studies show that more than half of these patients eventually succumb to relapse after cart treatment one of the causes for this is the loss of the cd19 protein on nhl cells therefore finding other proteins beyond cd19 that could be targeted or cotargeted with cartcells is desired indeed in the proposed project i intend to develop and characterize a cart therapy directed against a cell surface protein highly expressed in nhl preliminary data herein i plan to evaluate the levels of the new target protein in a large cohort of nhl patients using immunohistochemistry and to perform a thorough preclinical assessment of this novel cartcell approach using cuttingedge preclinical nhl models to achieve these goals i will exploit the experience of the hosting institution in generating nhl patientderived xenografts and in the benchtobedside cart development process as well as the external collaborators who are experts in blood cancer treatmentthis fellowship will significantly expose me to worldclass theoretical and handson preclinical research in hematooncology and adoptive cell therapy thus boosting my career as an independent researcher
the integrate study an adaptive platform trial for the development of a new intervention to combat lassa fever in africa

lassa fever lf is an acute febrile illness associated with bleeding organ failure and shock caused by lassa virus lf causes outbreaks in west african with inhospital mortality up to 12 challenges in the clinical care of patients are multiple due to the limited availability of lf molecular diagnostics the risk for nosocomial transmission and the limited treatment optionsthere are currently no safe and effective treatment options available for lf except ribavirin the efficacy of which is debated the clinical development and accessibility of effective treatment options would be a gamechanger towards reducing mortality associated with this disease and limiting its socioeconomic impact nigeria is the country by far most affected by lf in the world with about 80 of global casesthe integrate consortium builds on a more than 15 years lasting highly successful collaboration between leading european and west african institutions focusing on the joint priority to better understand manage and combat lf in west africathe overall objective of the integrate project is to establish a gcpcompliant adaptive clinical platform trial in west africa nigeria and other countries to test the efficacy tolerability and safety of repurposed and novel drug candidates for the treatment of lf to address this objective we focus our activities on 3 specific objectives to develop and implement an adaptive randomised controlled phase iiiii clinical platform trial evaluating drugs with proven preclinical activity against lf to build capacity for sustainable and independently conducted clinical research in west africa by developing site laboratory and medical care capacity through northsouth and southsouth technology transfer and training this activity encompasses capacity building of the lead nigerian institution in gcp compliant clinical trial sponsorship to engage communities with the proposed work plan and to assess acceptability of the trial
innovative marine soundscape characterization to effectively mitigate ocean and sea noise pollution

seasounds aims to better characterize and predict marine soundscapes in order to provide recommendations for appropriate and proportionate underwater noise mitigation solutions for improved knowhow decisionmaking and standards setting for a sustainable blue growth limiting the impact on marine wildlife seasounds addresses important knowledge gaps related to understanding characterization and modeling of the entire noise transfer chain from the noise source eg offshore foundation installation unexploded ordnance uxo disposal shipping to the receiver whether a technological tool or an animal seasounds methodological approach is built around the idea that to address effectively these complex scientific questions we need to go beyond the underwater acousticsrelated approaches thus seasounds incorporates concepts models and tools from seismology and mechanics to i develop solutions based on distributed acoustic sensing das technology to monitor marine mammals and provide information on seabed properties ii characterize the soundscape of ecoregions where noise pollution is poorly known and hence insufficiently regulated and highlight the temporal noise dynamics marine life has to face iii investigate methodology biases on noise assessment biases being induced either by numerical models or by uncertainties in the environment properties iv develop efficient physicsdriven modeling of noise generation including seabed vibrations and propagation in shallow waters v study the impact of noise and vibrations on marine invertebrates and plants vi understand the link between exposures of individual animals and the overall quality of the habitat that the animals live in seasounds will train the next generation of professionals with high multidisciplinary intersectoral and transverse skills who will comprehend noise pollution issues in a holistic way and hence be highly valuable for public organizations policy makers and stakeholders who have to take sciencebased decisions
group stability and quantum information theory

the main focus of the project will be on stability properties for groups and their connections with quantum information theory intuitively the term stability refers to the phenomenon of when approximate properties are close to actual properties concretely the project will introduce for the first time stability with respect to quantum groups and provide a systematic approach towards different important notions of stability for various classes of groups notably graph productlike groups and amenable groups for the latter stability is also connected to character theory and dynamical systems which will allow for different techniques from these areas to be applied towards our results
novel small molecule attenuator of neuroinflammation in parkinsons disease

parkinsons disease pd affects 85 million individuals worldwide according to who estimates pd remains cureless and treatments are based on administration of dopamine precursors or analogues neuroinflammation is a central hallmark of pd however no molecule is present in the market to tackle neuroinflammation in pd patients neuroinflammation contributes to the exacerbation of the disease as the release of inflammatory signals leads to reduced neuronal fitness driving to neuronal death neuroshield will address this gap in pd treatment to ensure an increased quality of life of pd patients while exploiting this therapeutic market opportunity the use of nonsteroidal antiinflammatory drugs nsaids in pd has been considered noneffective or raised longterm usage complications due to adverse sideeffects neuroshield will employ a novel small molecule tackling neuroinflammation through a yet unexplored pathway different mechanism to the classic nsaid cox2 inhibitors mechanism we have identified a novel potent firstinclass small molecule that is a strong attenuator of neuroinflammation neuroshield aims to explore this new safe brainpermeable molecule addressing neuroinflammation in parkinsons disease through a novel pathway
association between genotypes and phenotypic responses of honeybee subspecies under stresses posed by xenobiotics applications in pesticide risk assessments

apis mellifera l hb is the most influential pollinator in the world hb colony decline worldwide has been associated to multiple stressors the efsa recently devised an integrated framework focused on developing a holistic approach to the risk assessments ra of multiple stressors on hb it requests research data on the influence of genetic diversity on toxicological sensitivity at subspecies sbp level hb is the model organism for ra studies and there are at least 24 sbp described surprisingly ra require no distinction among them toprab will push the known boundaries of ra by examining for the first time the genetic background of hb using 3 sbp and snp markers toprab will perform an innovative study connecting the genetic diversity in the cytochrome p450 to the pesticides and pathogens exposure in hbs wp1 entails the application of bioinformatic tools on over 176 whole genome sequences owned by the host institution wp2 will consists of designing the reduced assay from the list of snps generated in wp1 wp3 will consist of laboratorybased bioassays of exposure of bees to pesticides and pathogens and by employing the link between genotypes to the phenotypic responses the wps will help solve four of the nine data gaps raised by the current ra addressing the results for the efsas policymakers toprab brings a strong interdisciplinary intersectoral and international framework since it will deal with the principal model organism of ra the magnitude of this innovative technology and approach will be available worldwide with a high potential of being adopted for universal ra schemes the importance of the results consists of the optimization of the current and future ra and the efficiency in genotyping large sample sizes toprab will be committed to the united nations 2030 agenda lined with sustainable development goals and european green deal
screening and future enhanced mri

safemri aims to prevent needless mortality from breast cancer by optimizing the use and performance of dedicated breast mrifirst safemri aims at detecting breast cancer early in women that are currently deemed too young for population screening age 4550 early diagnosis of breast cancer in these women will lead to a large gain in dalys averted i will initiate a prospective screening study inviting women to a onetime only abbreviated breast mri at the age of 45 the primary outcome will be the cancer detection rate per 1000 women actually screened this will validate abbreviated breast mri as standalone screening technique psychosocial and risk information will be collected from all participants costeffectiveness modelling will be included 5year followup will be performed in all women up to and including the first screening round at the age of 50second safemri aims at improving breast mri by reducing the need for contrast administration this is a major downside of breast mri for women ivcanulation and a small risk of allergic reactions and the environment pollution of surface water first i aim to enhance signal changes using a strongly reduced dose of contrast with advanced deep learning dl further studies are tailored at assessment of unenhanced mri particularly i will validate novel diffusion weighted imaging dwi sequences capable of generating high resolution diagnostic images within short scan times using dlbased reconstruction furthermore i will investigate arterial spin labelling asl based breast imaging strategies that show perfusion without the need for contrast administration finally we will combine unenhanced mri techniques in a general adversarial network to construct synthetic breast mri images repeated reader studies will be conducted to assess image quality and diagnostic value safemri will thus consolidate my leading role in breast imaging and enable me to design the breast screening of the future