Dragon09/odtu_chatbot huggingface dataset:
performance optimization of a hybrid offshore windwave energy platform

floating offshore wind turbines fowts have become an emerging trend in wind energy development in the past few years they offer the possibility of a clean power supply for highly populated countries with access to a deeper offshore area the main hurdle with fowts is that they need to be stabilized since platform motion is undesirable it makes the rotor aerodynamics and control more complex and reduces aerodynamic efficiency additionally platform motion increases stress on the blades rotor shaft yaw bearing and tower base and it can reduce the component lifespans fowt platform motions in pitch roll and heave must be limited within an acceptable range some researchers hypothesized that the platform stabilization may decrease the need for the platform steel mass active ballast orand taut mooring linesperformance optimization of a hybrid offshore windwave energy platform pohowep is a project which aims to 1 combine a fowt with oscillating water columns owcs to harness both wave and wind energies and 2 improve the stabilization of the fowt using the owcs as an active structural control the owcs will be integrated into the floating barge platform which has not been investigated in previous research works a machine learningbased control strategy will be developed to control all the power takeoff systems of the owcs at once the control of multiple owcs on a single fowt requires an adequate strategy that takes into account not only the plants state variables but external environmental conditions as well wind speed wave speed wave heights etc the consideration of this external data motivates the use of a machine learning ml module for the estimation and prediction problems an ml module will help in the prediction of future wind and wave speeds and estimate the proper reference input value of the designed controllers many research works using ml for fowts have been published and proved that ml is a promising solution
natural products research at latvian institute of organic synthesis as a driver for excellence in innovation

the aim of natalion is to foster innovation excellence of lios by the establishment of the natural products research npr group and implementation of the lios innovation hub as a complementary structural change the introduction of new research strands and the structural changes will be achieved under the leadership of era chair holder dr stefano donadio an experienced research and innovation ri professional project objectiveso1 establishment of the npr group including its capacity buildupo2 setting up the research directions of the npr group with a focus on new technologies and productso3 integration of activities of the npr group into internal and external collaborative projects including 3i mobilityo4 increase competitiveness for attraction of external research fundingo5 establishment of the lios innovation hub and its integration into institutional national and eu ecosystemso6 development of a motivating and inclusive institutional environment which fosters innovations and entrepreneurial culture o7 enabling institutional compliance to era priorities and un sustainable development goals o8 dissemination and exploitation of the results of the npr group according to pedr and a communication planestablishing the npr group the international recruitment as well as the development of environment fostering innovations will nurture brain circulation for researchers and innovators the establishment of the lios innovation hub and its integration into institutional national and eu ecosystems will deliver institutional reforms with a focus on innovation setting up new research directions and integrating the npr group into internal and external collaboration networks under the competent guidance of the era chair will leverage excellence of ri and increase the competitiveness for attraction of external research funding better communication of ri results to society will be achieved by dissemination and exploitation of the project results
new life for biowaste as a sustainable soil improver

with a share of 34 biowaste is the largest single component of municipal waste in the eu recycling of biowaste is key for meeting the eu target to recycle 65 of municipal waste by 2035biowaste can significantly contribute to a more circular economy delivering valuable soilimproving material and fertiliser as well as biogas a source of renewable energy biochar is a pure high carbon form of charcoal obtained through the pyrolysis of biomass such as biowaste biochar helps regenerate soils by enhancing waterholding capacity nutrient uptake soil fertility stimulating microbial activity and diversity and acts as a carbon sinkhowever a lack of understanding and evidence of the agronomic benefits and economic returns mean that biochar faces barriers to become a widespread soil improver biogas from anaerobic digestion ad is a renewable energy source yet the cost of disposal of its effluents digestates reduces profitability and uptake of new ad projects even though the digestate is rich in nutrients and can be used as a biofertilizer research shows that the combination of digestate and biochar creates a biofertilizer with increased fertility improved stability and excellent soil regeneration properties furthermore biochar could be a powerful additive to enhance microbiological activity in ad plants the fenix project will optimise biochar for different soils using ad digestate fenix will demonstrate the agronomic and economic returns of its soil improver in field tests trl 8 in three countries in the west and south of europe fenix brings together partners that cover the full value chain and with entrepreneurs that will be ready to take up the project results successful completion of the project will contribute to the recovery of abandoned poor soils increase eus soil quality and water retention capacity climate change mitigation secure and independent energy supply and sustainable biowaste management
the multiple layers of childhood adversity

health inequality is a major societal challenge and evidence suggests that health inequality is established in childhood and may even transcend generations childhood is a sensitive period with rapid growth and development and adversity during this period may have longlasting health effects more importantly multiple forms of adversity intersect with each other and disadvantaged children are often exposed to adversity across multiple biological health social neighbourhood and environmental layers but the childhood adversity literature has almost exclusively focused on social adversity this is a major gap in our understanding and empirical data which transcends multitude layers of adversity and follows individuals over entire life courses or across generations is lacking with layers i am in a unique position to meet this challenge by creating a unified data infrastructure for life course analyses of multiple layers of childhood adversity in 2m people over three generations combined with an interdisciplinary fusion of methods from data science epidemiology econometrics and systems science within a newly developed complex systems framework this innovative combination of data and methods will allow for a systematic generation of knowledge on the patterns of health inequality that emerge in early life and transcend generations the mechanisms which generate these patterns and the dynamics that make them change over time to translate these insights into actionable public health layers will establish a realworld policy data lab which integrates evidence from nationwide policies and simulations combined these interconnected elements will redirect the next frontier in health inequality research towards the multiple layers of adversity which generate inequality over the life course and across generations ultimately this will help us break vicious circles of adversity by identifying children and families who would benefit from targeted support
the causes and consequences of firms focus on artificial intelligence

the european union eu attaches critical importance to ai with its new strategy called the european approach to ai the eu aims to boost investment to foster the uptake of ai by eu firms while the potential of ai is widely acknowledged it is not evident that the focus on ai will translate into the targeted economic benefits to date we lack empirical evidence about the firmlevel consequences of firms increasing focus on ai the reason for this lack of knowledge is a paucity of firmlevel datain this project i contribute to our understanding of the causes and consequences of firms increasing focus on ai by using a large firmlevel dataset first i use automated textual analysis to create a unique measure that captures firms focus on ai the measure is based on publicly available documents and allows separating between different ai capabilities second i investigate what causes firms to focus on ai the answer to this question will be of critical importance to policymakers it helps them to use the most effective mechanisms to increase ai uptake third i investigate the effect of firms ai focus on a efficiency b innovation and c employment understanding the consequences of firms increasing focus on ai is crucial for policymakers the findings of this project guide them in making efficient investments and designing policies that benefit the workforce
towards a gene therapy for agerelated macular degeneration amd

while the blood neural barriers represent significant hurdles for the development of gene therapies for neurological and ophthalmological conditions it is now becoming clear that many of these conditions actually present with disrupted barrier integrity as the driving force of the pathology included in these diseases is age related macular degeneration amd in which we have shown that the blood retina barrier brb is subclinically disrupted and is a key driving force for disease progression erc funded retina rhythm project specifically related to this proof of concept grant a novel form of therapy for the end stage of amd namely geographic atrophy ga is now desperately needed a targeted approach to locally delivering adeno associated virus aav to endothelial cells of the brb would offer the opportunity to restore barrier function and prevent disease however the current tools available to achieve this localized approach to gene therapy are not optimum here we will use an exosome encapsulated and endothelial cell specific aav to achieve robust transduction of retinal endothelial cells this modified and optimized aav optiaav will represent a novel tool in translating recently identified biological mechanisms into real and meaningful therapies for patients
geodesics and geometricarithmetic intersections

this project will develop several aspects of a theory of real multiplication rm seeking to be a counterpart of the theory of complex multiplication cm discovered in the 19th century classical cm theory is famed for its beauty and elegance and is important in a variety of contexts for instance 1 in the classical era it arose in the context of explicit class field theory this feature is the subject of kroneckers jugendtraum and hilberts 12th problem2 in the modern era it has been instrumental in proving known cases of the birchswinnertondyer conjecture notably the results of grosszagier which are a main theme of this proposal 3 it has been used in elliptic and hyperelliptic curve cryptography in cryptosystems based on supersingular isogeny graphs one of the front runners for a secure postquantum international standard the objectives are to develop analytic computational and geometric aspects of such an rm theory and address the full scope of these features the theory is based on the notion of arithmetic intersections of geodesics and this project gives a new approach towards rm theory based on a notion of padic weak harmonic maass forms and padic height pairings of geodesics attached to real quadratic fields emphasis will lie on analytic aspects padic borcherds lifts and padic mock modular forms computational aspects development of userfriendly software for computations in rm theory and geometric aspects rm cycles on shimura curves and applications to the birchswinnertondyer conjecture
alternative proteins from microbial fermentation of nonconventional sea sources for nextgeneration food feed and nonfood biobased applications

promiseang is a 48month project that aims to develop novel alternative proteins from marine underexploited sources marine invertebrate and macroalgae discards and industrial biowastes through biomass fermentation solidstate and submerge processes generating new microbial protein biomass meeting market requirements for food feed and nonfood biomedicine pharma and cosmetic biobased applications a technically and economically viable biorefinery for microbialbased protein production will be demonstrated during the project enabling higher production yields reduced production periods minimized environmental impacts diminish the imports and reduced production costs for proteins promiseang contributes to cbe ju with a translational multidisciplinary and multiactor approach including cooperation between industries and academia across eu to achieve a greener biobased europe following a zerowaste approach promiseang will also recover and biosynthesize interesting nonprotein bio compounds and molecules ie polysaccharides lipids polyphenols pha etc for further use in food feed and nonfood applications research on novel protein streams from sustainable alternative sources will contribute to increase the protein availability in the eu and reduce the actual dependency on imports in short promiseang will upcycle of marine food wastes wp2 apply innovative and sustainable technologies incl biotechnology biochemistry microbial fermentations digital tools and machine learning wp3 validate the nutritious safety and bioactivities of protein products wp4 valorise fermentation side streams through nanotechnology wp5 and design development and validation of food feed and nonfood products in relevant environments wp6 including improvement of environmental economic and social aspects and productionefficiency performances wp7 and strong communication dissemination and exploitation plans wp8
cooption of host circadian rhythms in cancer

circadian rhythms crs are the biological response to the periodic rotations of the earth and allowfundamental adaptations of organisms to a changing environment crs are molecularly controlled in every cellby a set of transcriptional factors that control and are influenced by core biological processes includingmetabolic immune and proliferativemy previous studies established for the first time that innate immune cells regulate the circadian physiologyof tissues including the susceptibility of the lung to be metastasized in inntime i ask the reciprocalquestion to reveal if tumors take advantage of and subvert crs of the innate immune and stromacompartments to escape antitumoral defense inntime aims to understand how oncogenic processesrewire crs of the host and to elucidate strategies that halt this subversion as a new approach to fightcancer using lung cancer as proofofprinciple i will first investigate cellintrinsic circadian programs intumors aim1 next i will define how tumors coopt circadian clocks of the host and explore how themolecular clock of innate immune aim2 and supporting stromal cells aim3 impacts tumor growth bothmolecularly and functionally by integrating multiple transcriptomics and functional approaches inntimewill discover novel regulatory programs in tumors using a circadian approach and pave the way to designstrategies to prevent cancer by interfering with tumorsupportive circadian programsinntime will revolutionize the way we understand cancer as it will identify the malignant roots ofcircadian rhythms and their impact on host defense this research will establish a new paradigm by revealingthe mechanisms underlying protumorigenic clocks and will provide robust foundations for new therapiesin a set of disorders in which circadian clock dysfunctions are implicated
peptidedrug conjugates for weight loss maintenance

the worldwide rise in obesity rates is causing significant harm to human health while effective weight loss therapies are emerging the challenge of maintaining weight loss remains unresolved with this project we will leverage expertise in drug development to engineer novel peptidedrug conjugates designed to obstruct homeostatic weight regain in a cell specific fashion in the food deprived state a subset of hunger promoting neurons undergo structural changes that increases excitability and thus drives homeostatic weight regain capitalizing on our knowledge of g proteincoupled receptors gpcrs expressed in hypothalamic cell populations we will develop gpcrtargeting peptidedrug conjugates specifically designed to obstruct weight recidivism to evaluate this drugtargeting approach neurobiological methods including fiber photometry will be employed to confirm target engagement preclinical models are used to investigate the translational potential for treatment of weight loss maintenance following dietary and pharmacological weight loss interventions the molecular mechanisms of action and receptortarget selectivity of the conjugates will be determined using lossoffunction mouse models pharmacokinetic properties of lead candidates will be optimized by incorporating chemical halflife extenders this bridging between medicinal chemistry neuroscience and pharmacology will give rise to new multimodal molecules targeting homeostatic weight regain mechanisms to address a vastly growing unmet medical need for weight loss maintenance pharmacotherapies
a programme to open the access to womenled digital deep tech startups to new opportunities under the umbrella of corporations in europe

a recent study indicates that women raise funding receive significantly lessa disparity that averages more than 1 millionthan men corporates are different players compared to venture capital firms even their investment arms cvcs do have a different approach to the investment policiesspecifically targeting womenled companies to collaborate with corporates under a paidpilot scheme that can really take womenled startups and corporate collaboration to the next level open horizons proposes a novel approach towards covering the womenled companies funding and corporate network gap by creating a full programme from scratch that relies in the work done by other initiatives women techeu or empowomenthe consortium aims to invest 12m in startups and is comprised by an experienced consortium of partners as pedal reputed consultancy in eu projects also specialised in public procurement sploro experts on cascade funding and innovx eic partner and leading acceleratorcorporates are also linked to the proposal as partners like migros retail or associated partners like siemens industry software repsol energy and stahl manufacturing and planning to expand up to 10the projects structured approach includes identifying and formulating corporate challenges inclusive talent scouting across europe and facilitating the funding and implementation of pilot projects within realworld corporate settings postpilot the programme focuses on expanding growth opportunities for startups by connecting them with investment channels and helping negotiate commercial agreements for longterm collaborationsthis comprehensive strategy not only provides a platform for womenled startups to showcase their innovations within major corporations but also integrates them into a broader corporate and innovation ecosystem ensuring sustained growth and significant market presence
performance optimisation and productivity 3

the key element to ensure efficient use of hpc infrastructures is to optimize the performance and efficiency of the applicationsthe centre of excellence on performance optimization and productivity pop coe wwwpopcoeeu was initiated in october 2015 with the fundamental purpose of assisting a broad community of hpc application developers and users in both science and industry domains helping them to understand the performancerelated issues of their applications and thus improve their efficiency and productivity this fundamental purpose is reached by externally and objectively auditing the performance of the codes to all interested users by providing not only qualitative but also quantitative analysis through the use of pop tools and methodologythe current proposal performance optimization and productivity 3 pop3 is articulated in 3 main pillars services users and codesignpop services mainly focus on performance assessments with the goal to evaluate code performance and scaling identifying the main sources of inefficiency and providing some insight and recommendation about how to improve it pop3 also provides second level services that have been extended and include proof of concepts energy efficiency and advisory studies although pop3 will continue targeting all scales and types of users with this proposal we will focus our efforts on larger scales assessing the execution on the eurohpc sites of some of the european flagship hpc applications for other coes however pop3 will still provide services to prescribers and smes to promote an efficient usage of the computing resourcesthe codesign will be covered in two dimensions internally in pop3 we will codesign the tools and methodology to be able to analyse the applications on the selected platform at the selected scale externally pop3 will identify best practices and kernels that will be offered to other european projects as well as the wide audience of parallel applications
dynamic management of aircraft configuration and route structures

the dynmars project aims to minimise the environmental footprint of flights during climb descent and approach through novel avionic functions and improved arrival routes and procedures it enables for the first time a complete holistic solution that combines airborne with air traffic management atm improvements connected by enhanced communication capabilitiesdynmars builds on previous sesar work through the development of the permanent resume trajectory function the concept of dynamic deployment of arrival route structures the dyncat projects flight management system fms energy management function and new airground data exchanges in order to enable the visibility of the flight plan at both endsthe dynmars solution will consist of both an enhanced fms for aircraft and new airspace management techniques for air traffic control atc this solution opens the path for more environmentally friendly routing of aircraft in the terminal manoeuvring area whilst maintaining todays safety levelbased on the uplink of dynamically assigned routes and other information dynmars aims to allow pilots to better plan their optimum vertical and speed profile in descent and approach while maintaining the required runway throughput downlink of the fms computed trajectory allows for further improvement in the trajectory optimisation process between the aircraft and atc increased flexibility in atm will make it possible accommodate these optimised flight profiles dynmars will conduct 5 different exercises to validate its solution from both avionics and atm points of view with related human performance aspectsdynmars includes relevant aspects of air traffic management with new aircraft flight procedures to sustainably reduce the environmental impact of aviation co2 fuel burn and the noise exposure of communities whilst supporting the demand for high airport capacity and without compromising safety standards