Dragon09/odtu_chatbot huggingface dataset:
listening to change acoustic monitoring of multitrophic community dynamics in the face of increasingly variable and extreme environmental conditions

species are often predicted to lag behind the unprecedented pace of ecological changes imposed by current human activities such changes result not only in modification of the mean environmental values in an ecosystem but also in increasingly extreme and variable environmental conditions these extreme and variable conditions operate at fine spatiotemporal scales a mechanistic understanding of these dynamics in response to new environmental conditions thus requires monitoring analysing and modelling at such fine spatiotemporal resolution passive acoustic monitoring pam is a rapidly growing field of research that allows for an unparalleled temporal resolution and a wide taxonomic diversity of sound producing species in terrestrial and aquatic environments in this context i will use pam to understand fine scale spatiotemporal community dynamics in response to increasingly extreme and variable environmental conditions for that i plan to develop a methodological and conceptual framework to understand community dynamics at unprecedented spatiotemporal resolution first i will use unsupervised learning to characterise acoustic community composition creating acoustic groups that i will ecologically identify i will then use these groups to assess spatiotemporal variation of community composition in these environments and their associations using network models finally i will use different change scenarios to investigate the potential impact of these changes on community dynamics this research will increase our understanding of the importance of extreme and variable environmental conditions in driving community dynamics
analysing of fossilenergy dependence in agriculture to increase resilience against input price fluctuations

the recent variations in the price of fossil fuels and mineral fertilisers in the wake of the covid19 pandemic and the russian invasion of ukraine threaten the incomes of primary producers and affordability of food for consumers this threat will remain as the pathway towards fossil fuel independence and related investments in less fossilfuelintensive technologies in the eu agricultural sector will take time all this shows that there is an urgent need to design realistic sustainable pathways for supporting the energy transition of the european agricultural sector and improving the income of primary producers agenres designs sustainable pathways for policy making to reduce direct and indirect dependence of farmers and the agricultural sector as a whole on fossil fuels and fertilisers and increase the resilience to volatile energy prices taking into account farmers behaviour and the synergies and tradeoffs between european economic and environmental objectives at micro and macrolevel our approach consists of three components supported by outreach activities which involve stakeholders and the general public throughout the projects lifespan the first component develops a conceptual and data framework to identify policy targets and measures promising technologies and data and model requirements component one results among others in an eu wide database on energy use and mitigation potentials at different scales the second component focuses on evidence of the past and present energy dependence of the european agricultural sector and preferred solutions the third component builds on the first two and incorporates them into a set of foresight models at farm regional and market levels to evaluate the impacts of innovations and policy measures and targets at different scales ultimately agenres develops an innovative toolbox that will decrease the energy dependence and strengthen the resilience of the european agricultural sector
elucidation of risk factors and health determinants associated with progression of monoclonal gammopathies to multiple myeloma

multiple myeloma is a chronic malignancy characterized by slow progression and recurrences currently there is no effective cure since eventually the disease develops resistance to all the available therapeutic approaches although recent advances have expanded our understanding of the cellular functions associated with health to disease transition recurrence and response to therapy critical aspects of this complex pathology remain to be elucidated application of omics technologies and bioinformatics approaches on highly annotated samples obtained from all informative states monoclonal gammopathy of undetermined significance mgus smoldering mm smm active mm mm could identify biological pathways and molecules responsible for the onset progression and resistance to therapy of multiple myeloma in parallel particular emphasis will be given to elucidating the health determinants and risk factors associated with progression to active mm from mgussmm by using extensive demographic lifestyle and exposure datasets mgus is present in 35 of the ageing european population and every year 1 progress to incurable mm that imposes a significant burden on eu societies and health systems thus the best chances of curing mm may be in preventing its progression in the first place moreover there is need of experimental models that recapitulate myeloma progressionwe propose an interdisciplinary approach bringing together clinicians and researchers aiming to integrate epidemiological clinical and experimental datasets in order to create a molecular model of cellular processes associated with the onset of active mm and response to therapy the proposed systems medicine approach could yield clinically actionable molecular features that could improve mm patient management moreover the integration of lifestyle clinical and omics information will provide specific profiles for each patient allowingpersonalized diagnosis prevention and therapeutic approachesthis action is part of the cancer mission cluster of projects on understanding
gradient clock synchronization for networksonchip and cellular networks

in large distributed computing systems there is a big performance advantage when all communication can be carried out synchronouslycurrent synchronization techniques result in long communication latencies as the systems scale up in size and operating frequency we identify two key application areas in which this is an immediate and pressing challenge1 large networksonchip nocs do not operate synchronously despite the relative ease of design and lowlatency communication this would offer2 despite issues of security and availability current cellphone networks rely on global navigation satellite systems gnss such as gps to obtain tightly synchronized timewe propose the application of gradient clock synchronization gcs as a novel clock synchronization method for these applicationsgcs minimizes the time offset between closeby parts of the systemthis results in much smaller offsets between such parts than standard techniques that aim at minimizing the maximum global offset onlygiven that in the above application settings it is the offset between closeby parts that matters this enables us to achieve large improvements in performancein particular we can eliminate the issues faced by noc designs and cellphone networks that we pointed out abovethe main objectives of the proposed poc project itself can be stated as follows development fabrication and evaluation of an asic demonstrator for soc and noc clocking development and evaluation of a secure wireless implementation of the gcs algorithm patent protection of the generated intellectual property finding industrial pilot partners for development of products in followup projects
ultrafast chemical analysis imaging with raman

most diseases including cancers viral infections neurodegenerative conditions cardiovascular and musculoskeletal disorders all originate from a molecular level disruption of the biological cell lifecycle each year the cost to the eu is ca 19 million lives and ca 200 billion in health care informal care and productivity loss for cancers alone current live cell imaging tools can only provide a limited view of the in vivo and in vitro microenvironments where diseases originate and grow the result is a gap in our understanding of the biochemical cellular makeup and how their disturbance leads to disease by increasing accuracy and speed of imaging and analysis the gap can be closed allowing novel medical treatments and diagnostics tailored to patients specific conditions ucair brings successful rd photonics smes research laboratories in optics and cell biology and worldleading microscopists and clinicians to create an innovative versatile practical multimodal photonics platform that will enhance and speed up the way cells are examined by scientists and healthcare professionals ucair will achieve breakthrough results by developing a laser platform that inventively combines nonlinear optical fibers optronics wideband coherent raman and artificial intelligence technologies to image at video rates and track cells and biological tissues with augmented chemometric digitalisation the new coherent light sources will be suitable for fundamental research microscopes and microfluidic channels but also in medical imaging instruments encompassing a value chain for new biomarker discoveries and translation into medical endoscopy for example during cystoscopy and resection of bladder cancer technology progression to trl 6 will allow first mover advantage with sustainable supply chain in this way ucair sustains the european leadership in photonics to deliver continuous innovation and outstanding benefits for its economy and the health of its population
nonstandard data and image processing from nonlinear optics to quantum computing

the optiq project is focused on nonstandard data and image processing methods which will lead to advances in quantum computing qc the project is designed as a platform for collaboration of academia silesian university of technology in poland research austrian institute of technology and security business austria and industry boson energy from luxemburg lg nexera from vienna and envelo from warsaw in a common purpose to achieve beyond stateoftheart progress in applications of quantum optics phenomena for quantum communication and computation in particular for quantum image processing and security the deployment potential of these latter applications will be exploited by boson energy in green energy sector and by envelo in digital secure communication respectively through common implementation of an ambitious research programme the project will generate novel skills for all consortium participants interdisciplinary and intersectoral staff training will serve as a basis for technology transfer and knowledge sharing between participants leading to elaboration and implementation of desired solutions in this way the project will strengthen collaboration between beneficiaries in quantum computing and communication qcc and in optical image processing oip in particular the consortium will focus on technology of entangled photons production and its application to qbit building quantum security quantum blockchain technology and quantum communication to facilitate contact with quantum optics an augmented reality aided simulator designer of optical quantum setups will be also developed particular attention will be paid to wide and efficient dissemination and communication due to these measures optiq project will strengthen career perspectives of participating scientists become the foundation for lasting collaborations in exploitation of results and increase competitiveness of european research area and industry on the worlds qcc scene
relooking at statutory rape laws in malaysia psychosocial characteristics of sexual relations among underage and adultchild partners sexual motives and perception of the criminal justice personnel

statutory rape laws are designed to protect children from the manipulation of adults into having sexual intercourse however in malaysia statutory rape laws are applied even on male adolescents who are close in age with their female partners this is problematic because applying these laws into male children will criminalize their normative sexual behaviors which has longlasting damaging effects in addition the perception of the criminal justice personnel on sexual behaviors of children also cements the blanket applications of statutory rape laws onto every case involving female children to reform the use of statutory rape laws in malaysia data on the sexual relations between closeinage partners and adultchild partners are needed this study has three research objectives first i aim to explore the perception of the criminal justice system personnel ie prosecutors police officers and probation officers towards the implementation of statutory rape laws on adolescents in malaysia second i would like to investigate the psychosocial characteristics sexual and antisocial dimensions of sexual relations involving two closeinage children in comparison with sexual relations involving adults and children lastly i aim to explore the psychosocialcultural motivations behind the pursuance of sexual relationships among asian adolescents the design of the proposed study will be a mixed design employing both quantitative to achieve research objective 2 and qualitative to achieve research objective 1 and 3 for the quantitative part of the study a hypothesis will be tested which is closeinage sexual partners differ in terms of psychosocial characteristics compared to adultchild sexual partners this will be tested using a binary logistic regression then i will employ a thematic analysis to find out the patterns from the responses the findings of this project will be disseminated through two journal articles and a conference attendance
combined ai and data solutions for large scale resource optimization with green deal impact

with the objectives of the green deal in mind cosmic aims to provide it systems that address largescale energy resource optimization challenges by leveraging ai and data solutions it will foster collaboration between small and large companies to create industrial ecosystems focused on key applications with the potential for substantial and escalable impactcosmics ecosystems are composed by 1 largeindustries facilitating big datasets and largescale pilots 2 core technical partners providing transversaltosector technical solutions 3 smes and startups bringing specific dataai based assets through open callsthe project will offer a set of dataai based platforms solutions and modules as transversal core infrastructures able to accommodate external it assets third parties mainly smes and startups will bring these assets in the form of dataai based services and solutions that are specificto an energy resources optimization key applications the integration of these core and applicationoriented technologies will result in a set of integrated ai systems iais for key energy resource optimization applications capable to scaleup to cover more key applicationscosmic will test these systems in 14 largescale pilots in 5 countries spain belgium portugal france and finland and at european level together with the validation of enduser and final beneficiaries acceptance of socialscience methodsto foster replicability a package will be offer including the lessons learned and recommendations for future adoption including suggestions for feasible winwin industrial partnerships and guidance on ecosystems sustainabilitythese ambitious objectives will be realized by a consortium of experienced and highly complementary partners from both research institutions industrial partners public authorities and ngos from eight european countries
remote nmr rnmr moving nmr infrastructures to remote access capabilities

nuclear magnetic resonance spectroscopy nmr is one of the major analytical methods applied in all chemical physical biological and medical sciences nmrs leading role stems from its analytical power in terms of molecular resolution quantification reproducibility and broad application envelope it requires sophisticated and expensive equipment operated by scientists with diverse background ranging from serviceoriented researchers to highly trained experts the aggregated capital investment in european nmr facilities operating at local national and european level exceeds 500 million euro the nmr community maintains excellent networking between sites and serves a broad community within the focal points of european research interestswith the application remotenmr rnmr we wish to establish remote access for all nmr users throughout europe while routine nmr applications are routine in every university and in industry more specialized applications are performed in dedicated research infrastructures offering access and help to local and outside users during the pandemic nmr infrastructures slowed down their operations to variable degrees and particularly access by remote users dropped significantly raising the need to establish standardized procedures for remote access to improve their resilience to adverse external factors in this proposal an inclusive network of nmrinfrastructures throughout europe will be established surveying if and how remote access can be made possible according to the needs of the community and implementing gdpr at facilities and sample shipment procedures routines for remote nmrusage will be established including dissemination of research and teaching protocols archiving of data and sample shipment the overall co2 footprint of the operation of the consortium will be evaluated as well as its reduction due to the reduction of travels
university parissaclay interdisciplinary doctoral programme in sciences of light

lightinparis is a msca cofund doctoral programme in the field of sciences of light aiming at promoting interdisciplinaryinternational and intersectoral research projects at university parissaclay upsaclay the sciences of light cover a very broad fieldfrom fundamental physics to technological applications in photonics quantum mechanics and biomedicine and open up anincreasing number of technological applications among these sciences photonics is one of the key enabling technologies identifiedin the horizon europe strategic planthe parissaclay region has been hosting numerous prestigious research laboratories for several decades to gather its strengthsupsaclay has been created in 2020 by grouping several academic and research institutions located in saclay area it joins 8100researchers working in 275 laboratories upsaclay was ranked 15th in the 2023 shanghai university ranking and 3rd in physics 1st ineurope in the global ranking of academic subjectsregarding sciences of light upsaclay gathers 700 researchers working in 28 laboratories across 5 graduate schools upsaclaygraduates every year 150 engineers and 70 phds specialized in optics in addition upsaclay hosts many world class research facilitiesthe institute for the sciences of light isl has been created in 2020 to foster interdisciplinary synergies among the graduate schoolsof physics chemistry engineering geosciences and life sciences and promote international and intersectoral relationsthe lightinparis programme through isl will recruit 30 phd fellows 2 cohorts of 36 months each industrial and international secondments will also be implemented to allow phd fellows to shape their careers by acquiring technical skills and networking relationships numerous trainings will also be offered to ensure that doctoral students have both technical skills and soft skills by the end of their phd
european cohorts of patients and schools to advance response to epidemics

the eucare project gathers a comprehensive multidisciplinary team of clinicians virologists epidemiologists statisticians and top experts in artificial intelligence to unveil the impact of sarscov2 variants on key sectors of public health as addressed by the call the specific activities include1the assessment of natural and artificial immunity to the different viral variants in health care workers with the aim of defining the crossimmunization patterns and the risk of vaccine escape informing vaccination strategies for the general population 2the analysis of the clinical course and longterm followup of hospitalized covid19 patients to derive the role of different viral variants in the outcome of the infection including postacute sequelae of sarscov2 infection 3the definition of the best strategies to control the spread of different viral variants in schools by comparing the outcome of diverse containment and prevention measures in relation to the prevalence and dynamics of the variants to ensure a suitable representativeness of the different variants vaccines and preventive measures eucare has secured the appropriate cohorts from diverse geographic areas including european countries kenya mexico russia and vietnam and will consolidate or expand interactions with other cohorts to deal with complex interactions among many variables including large dimensional parameters eucare harnesses the power of artificial intelligence to define the role of viral variants and inform clinical guidelines and prevention measuresin the longerterm eucare is committed to maintain active cooperation beyond the duration of the project with a dedicated task in the project the solid it and ethics infrastructure and the harmonised research procedures will make the cohort and laboratory network rapidly available to tackle newly emerging infectious diseases thus contributing to pandemic preparedness on a global scale
federated data sharing and analysis for social utility

availability of large volumes of user data combined with tailored statistical analysis present a unique opportunity for organizations across the spectrum to adapt and finetune their services according to individual needs having shown remarkable results in analyzing user data machine learning models attracted global adulation and are applied in a plethora of applications including medical diagnostics pattern recognition and threat intelligence however such service improvements and personalization based on user data analysis come at the heavy cost of privacy loss furthermore practice showed that systems that use such models incorporate proxies that are often inexact biased and often unfair in harpocrates we focus on setting the foundations of digitally blind evaluation systems that will by design eliminate proxies such as geography gender race and others and eventually have a tangible impact on building fairer democratic and unbiased societies to do so we plan to design several practical cryptographic schemes functional encryption and hybrid homomorphic encryption for analyzing data in a privacypreserving way besides processing statistical data in a privacypreserving way we also aim to enable a richer more balanced and comprehensive approach where data analytics and cryptography go hand in hand with a shift towards increased privacy in harpocrates we will first show how to effectively combine cryptography with the principles of differential privacy to secure and privatise databases next we will build privacypreserving machine learning models able to classify encrypted data by performing high accuracy predictions directly on ciphertexts across federated data spaces finally to demonstrate how these solutions respond to users needs we will implement two realworld crossborder data sharing scenarios related to health data analysis for sleep medicine and threat intelligence for local authorities