Dragon09/odtu_chatbot huggingface dataset:
unravelling the effects of music on sleep through musicology neuroscience psychology and computer science

music exerts strong effects on the human brain as evidenced by both subjective emotional reactions and overt changes in neurophysiology lullabies are known in all cultures and times as an effective sleep aid for children and adults musicology focuses traditionally on musical structures and cultural practice a mutual interaction with empirical neuroscience is yet missing the lullabyte project will for the first time bring leading researchers from musicology sleep research neuroscience and computer science together to fill this gap within the project ten doctoral candidates will be trained in a radically interdisciplinary research field and acquire profound skills relevant for industry and the cultural sector leveraging stateoftheart neuroscience laboratories big sleep datasets gathered with wearable technology and data science strategies the doctoral candidates will investigate the effects of music on the brains transition from wakefulness to sleep from neurophysiological details of auditory processing in the thalamicocortical system over changes in sleep structure induced by different kinds of music to psychological and musicological analyses moreover machinelearning strategies will help to algorithmically generate novel neurosciencededuced music with particularly strong somnogenic effects beyond handson training in these research projects with multiple secondments between the ten consortium partners summer schools and satellite events with active participation of trainers from innovative industry partners and artists will teach doctoral candidates complementary skills in technology transfer entrepreneurship medical device regulation and public outreach as a whole lullabyte will train a new generation of interdisciplinary researchers and thus provide the fast growing market of personalized algorithmically generated music with both a firm scientific basis and the personnel to strengthen europes position in such technologies
printing electrotomography

3d printing is literally building our future in realising components and parts which cannot either be manufactured with standard techniques milling lathing or for which the scale does not justify the use of molding techniques which require longer time and are only convenient for a high production scale the problem with current 3d printing is the tradeoff between speed and precision if we want to print fast in additive manufacturing it is more difficult to know what physically happens with the deposition and increasing speed is always at the cost of precision this is mostly due to the fact that the deposition process is basically in open loop currently there is a strong demand for insitu measurement techniques to enable real time feedback where the newest camera based techniques only allow for measurements on the outer surface of prints the proposed innovation wants to create real time feedback by using easily implementable electrical impedance measurements during the printing process together with conductively doped material measuring multipoint impedances among points on the substrate and the nozzle to possibly realize a tomographic description of the print this intrinsically cheap method can be used pervasively and has ground breaking potential for both the professional and consumer 3d printing market prints will be of higher quality printing will be faster and losses will be reduced this will increase the usability reliability and throughput of 3d printing which are the major concerns in this manufacturing technology for both the professional and the consumer market the idea has been patented and industry has already confirmed strong interest with the support of the ercpoc the pi and his multidisciplinary team will be able to address the questions still to be answered in close collaboration with the industrial partner ultimaker in order to address the correct scientific questions needed for a successful transfer to market
quartromicins enantioselective total synthesis and generating molecular libraries of druglike bioactive compounds

nature is an indispensable source of bioactive compounds but not necessarily an ideal provider of bulk or analogs total synthesis plays an important role in generating new analogs of natural molecules and as a means to reduce dependency on natural resources the outbreak of covid19 and other viruses has posed a significant global threat the urgent need arises to study and discover new antiviral it has become imperative for researchers to develop strategic research plans in order to synthesize medicines to combat these viruses quartromicins are well known for their antiviral properties but barely explored due to no known synthesis to date and low isolation yield 036006 makes them an attractive target molecule for the total synthesis for further investigation and development to combat the viruses with this proposal we address the synthetic aspects of the main bioactive molecules and their analogs being considered to be repositioned for the effective treatment of viral infections the first total synthesis of quartromicins a1 a2 a3 d1 d2 d3 is proposed by a convergent synthetic strategy that involves the use of an enantioselective dielsalder reaction the carbonylene reaction mediated by organocatalyst and the heck dimerizing coupling reaction as the key step to the macrocyclization the endo adduct is proposed to be readily synthesized by the enantioselective dielsalder reaction while the exo unit by a carbonylene reaction both mediated by the organocatalyst the exo endo fragments are proposed to be transformed to the corresponding exo endospirotetronate fragments by simple organic transformations finally the symmetrical quartromicins a1 a3 d1 d3 and unsymmetrical quartromicins a2 d2 can be synthesized by the heck dimerizing coupling and the heck double crosscoupling reactions respectively the latestage glycosylation strategy shall furnish a library of bioactive molecules essential for medicinal chemistry applications
forensic analysis of concrete through image processing

the proposal is about the forensic analysis of concrete through image processing facip which offers several improvements over traditional methods of forensic analysis fa of concrete unlike manual inspection the proposed method automates and streamlines the process reducing human effort and evaluation time fa of concrete is commonly used to determine particle size shape aggregate ratio porosity and other physical characteristics that affect concrete performance this project aims to develop an innovative approach that utilizes image processing ip and convolutional neural networks cnn to enhance fa of concrete structures by accurately and efficiently detecting characterizing and quantifying various concrete defects such as cracks spalling corrosion and delamination the project aims to extract intricate patterns and features from concrete images through deep learning improving fa accuracy this ambitious objective pushes the boundaries of current research in fa of concrete opening the door to discoveries and advancements by combining ip and cnn for facip the research aims to develop innovative methodologies and tools that surpass the limitations of existing techniques such as core cutting schmidt hammer and upvs providing accurate and reliable analysis results this contributes to developing more effective concrete maintenance repair and structural integrity assessment strategies ultimately the project aims to provide concrete forensic experts with advanced reliable and timeefficient analysis methods enhancing concrete forensic investigations overall accuracy and effectiveness
eintervention enhancing mental health in adolescents

the eintervention enhancing mental health in adolescents project improva will codesign pilot evaluate and facilitate the upscaling of a modular ehealth intervention platform that aims to improve mental health and wellbeing early detect mental health problems and prevent common mental disorders in adolescents the improva consortium includes an international and interdisciplinary group of researchers and practitioners from health educational and social sciences in addition to computer scientists a teacher association and policymakers the improva online platform will be cocreated with stakeholder groups including adolescents parents teachers school health professionals and policymakers based on materials already designed and tested in more than 20 projects carried out by the consortium members the platform will include components for adolescents parents teachers and school health professionals in complementary and synergistic modules after a series of pilot testing sessions improva will be implemented by conducting a randomized stepped wedge trial design swtd in secondary education schools randomly selected in four countries france germany romania and spain including 12800 adolescents effectiveness costeffectiveness and costbenefit will be calculated using implementation science methodology improva will codesign with policymakers and stakeholders transferable evidencebased practices methodologies and guidance for upscaling of the improva platform improva aims to provide stakeholders and policy makers with an evidencebased innovative largescale comprehensive intervention and a scaleup plan to promote mental health and prevent mental disorders in adolescents empower adolescents and families to make better decisions regarding their mental health and provide schools and the community with tools to achieve a society with better mental health and lower stigma
stratification of patients using advanced integrative modeling of data routinely acquired for diagnosing rheumatic complaints

globally 1globally 171 billion people have musculoskeletal symptoms the leading contributor to disability early disease stratification is important to ensure appropriate care most suited healthcare provider and best treatment choice currently the patient journey to diagnosis and effective treatment is long and inefficient resulting in persistent disease burden and economical loss this is due to insufficiently understood relations disease causes and similarities in symptoms between diseases insufficiently distinguishing tests trial and error approach in initial treatmentspiderr aims to disentangle the reallife complexity of early diagnosis of rheumatic diseases by considering the complete web of factors influencing patients symptoms spiderrs approach will go well beyond the stateoftheart in the following ways by identifying different disease groups requiring different therapies amongst patients with similar symptoms in contrast to the traditional approach aiming to only capture one disease early by integrating all relevant data dimensions from every healthcare level primary and secondary care and patients seeking advice online by translating and applying machine learning techniques from the omics field to clinical patient data which will result in new pipelines for translational data science spiderr will deliver three clinical models a symptom checker for patients a decision support tool for primary care providers providing guiding additional examination and referral decisionsa patientpatient similarity network to optimise diagnostic groups in rheumatology and support treatment decisionto achieve this we additionally deliver solutions for data integration and shared analyses though gdpr compliant digital research environment and federated learning pipelinesfinally we will test the acceptability of the models through stakeholders studies and provide an implementation scene tailored to current healthcare in europe
sizes matter the dust size distribution during planet formation

planets form in discs of gas and dust around young stars within these discs micronsized dust particles need to clump together to grow 14 orders of magnitude to form earthlike planets as well as the cores of giant planets it is a major challenge to understand dust growth from start to finish state of the art observations provide spectacular glimpses of the dust distribution at a limited range of sizes alma produces images of the thermal emission of mmsized dust while instruments such as sphere probe the distribution of much smaller particles however for a comprehensive theory of planet formation we need to understand the process from start to finish from micronsized to planetsized this is therefore the story of the dust size distribution how many dust specks pebbles and boulders are present while there are large size ranges that are out of reach observationally in this project we will exploit the fact that all dust sizes are coupled to the gas via friction to take a panoptic view of the size distribution for the first time since the gas feels friction from all dust sizes the size distribution is encoded in the gas kinematics and therefore in every single dust size as well we will perform hydrodynamical simulations including the full dust size distribution to write the polydisperse story of planet formation we aim to reconstruct the full size distribution from sparse observations thereby avoiding the need for expensize multiwavelength observations we will compare dust and gas distributions with observations of protoplanetary discs as well as the composition of solar system bodies we will use a novel numerical method that allows us to perform these computationally expensive simulations and employ machine learning to speed up the calculations this way we will for the first time be able to build up a complete picture of how dust particles grow into planets and construct a comprehensive model of planet formation
medtrain postdoctoral career development and mobility fellowships in medical device research evolving the cram industryacademia training initiative

medtrain is an advanced industryacademia training career development and mobility fellowship programme in medical device rd at cram the vision of this medtrain career development programme is to recruit supervise and train 50 postdoctoral fellows to meet irelands national research priority area detailing how medical device research is key to the nations innovative strategy cram is the science foundation of ireland sfi research centre for medical devices headquartered at the national university of ireland galway nuig cram is a distributed research centre composed of nine academic partners from across irelandnuig university college dublin ucd trinity college dublin tcd dublin city university dcu university of limerick ul university college cork ucc royal college of surgeons in ireland rcsi technological university of the shannon tus and the national institute of bioprocessing research and training nibrtand 36 industry partners two levels of fellowship will be offered level 1 will be open to candidates with less than four years experience post phd or equivalent while level 2 will be open to those with four or more years experience post phd or equivalent at the time of the recruitment fellowships must comply with the msca mobility rule and are open to candidates of any nationality who have not resided or carried out their main work in ireland for more than 12 months in the three years immediately prior to trecruitment fellows have the freedom to choose their research area provided it falls within crams remit their supervisor and their secondment organisation fellows will be hosted in a cram academic partner organisation and will be seconded to a suitable research performing organisation for up to 12 months in the nonacademic sector located in any country appropriate to meet the needs of the fellows research training and career development needs
automated solutions for sustainable and circular construction and demolition waste management

a suite of innovative tools solutions and techniques to build bridges through bottomup construction and demolition waste cdw prevention and handling to reach topdown european waste reduction goals is proposed the projects agenda reflects the horizoncl42021twintransition0111 call objectives with a focus on integrated decision making that would allow considering all aspects of cdw generation and involving all stakeholders within the construction industry current practices in cdw management from prevention and minimization of waste to its reuse will be evaluated and markets to support the supply chains and circular economies will be identified consequently a digital information management system for stakeholders collaboration and waste traceability will be developed tested and demonstrated it is envisaged that the cdw minimization will be achieved by empowering bim and integrating waste management relevant data into the information models processes of converting different formats of construction information to the digital twins will be automated as well as the decisionmaking system for repurposing deconstruction and demolition automation will be employed for aiassisted cdw classification and robotic segregation offsite the methodology for cdw logistics in regard to the automatic and more efficient cdw sorting and distribution will be proposed along with methodologies to provide new addedvalue uses to cdw the consortium involves 7 research institutions 10 small to medium enterprises 5 large companies and 1 association representing 5 eu countries uk and china the feasibility and efficiency of the developed solutions will be evaluated using 6 demonstrators this consortium composition will enable us to tackle the whole lifecycle cdw management propose beyondstateoftheart technologies and contribute to reaching the zerowaste construction industry in europe in the near future
smart detectors for darkfield xray imaging

the main objective of this project is to improve the early detection and accuracy of lung disease diagnosis by developing a novel detector concept for darkfield xray imaging a novel method with great potential for the assessment of pathological changes in the alveolar microstructure of the lung as recently discovered in initial patient studies our research will focus on chronic obstructive pulmonary disease copd the third leading cause of death worldwide responsible for more than 32 million deaths each year traditional chest xrays while critical for diagnosis are often inadequate for the early and accurate detection of mild to moderate copd due to their limited sensitivity similarly computed tomography ct scans are limited in detecting early stages of copd and are associated with much higher radiation doses this highlights a significant diagnostic need as current methods including spirometry and conventional imaging cannot reliably assess the severity of copdour goal is to develop a breakthrough detector technology that overcomes the key challenge of darkfield imaging the need for a 50 absorbing grating by utilizing the latest advances in nanoscintillation materials and single photon avalanche diode spad sensor technology we intend to directly resolve the interference patterns characteristic of darkfield imaging this new technology not only promises to reduce the radiation dose required by current darkfield techniques by 50 but also enables integration with singlephoton spectral detectionthis initiative is a highrisk highreward project with the potential to revolutionize xray imaging technology particularly lung imaging after more than 125 years of practice most notably it will lay the technological foundation for routine integration into the next generation of medical xray and ct imaging technology
presidency conference on the future of life sciences

on the first of january 2023 sweden took over the presidency of the council of the european union one prioritised area for sweden and the eu that will be addressed is the future of life sciences and more specifically the implementation of precision health to this end a presidency conference will be held in stockholm on this topic on 2627 june 2023 the conference is hosted by the swedish government and the objective is to provide a forum for knowledge exchange on how to utilize the opportunities that precision health brings in modernizing our healthcare the purpose of the conference is to inspire change and to identify needs for continued development of precision health through research and innovation the conference is also a means of creating conditions for fruitful collaborations within the european union four government agencies with expertise in regulatory affairs ehealth ethical approval and innovation respectively are engaged in preparing and hosting specific parts of the conference programme the main theme of the conference is precision health opportunities and challenges ahead specific areas that will be addressed are datadriven implementation ethics precision prevention and regulatory procedures patient participation as well as sustainability will be transversal perspectives throughout the programmethe conference will be held in stockholm sweden at karolinska institutet one of eus top ranked medical universities karolinska institutet is situated in the heart of the new life sciences district which also includes one of eus top ranked hospitals an increasing number of headquarters and rd facilities of big and small life science industries major national research infrastructures and more
plasma reactors for efficient fertilizer production applied in a real environment

my project aims to demonstrate the proof of concept of new plasma reactors for sustainable and energyefficient nox production from air as basis for green fertilizer production plasma is created by applying electricity it is quickly switched onoff and has no economy of scale so it is ideal in combination with renewable intermittent electricity and thus of interest for electrification of fertilizer production this project originates from my erc syg where we obtained record values in plasmabased nox production and energy cost ec now it is time to bring this into real application through optimization of the reactor design and its performancewe will build three different plasma reactor designs based on innovative computer model predictions and test the optimal matching to the power supply for maximum efficiency we will also test the effect of quenching heat recovery preheating gas recirculation and sorption materials to further improve the performance in terms of nox yields and ec subsequently we will test the reactors in real world context ie air with varying humidity and exploring the reactor robustness for both continuous longterm and intermittent operation in the last two months we plan demos for interested stakeholders serving as reallife market analysis finally we will perform a swot analysis comparing the three reactors in terms of overall performance in real world context to decide which reactor will be selected for upscaling and potential commercialization prepare aims to drive innovation for the application of hno3 and nh4no3 production that is now mainly relying on nonsustainable resources in addition it can provide a solution to curb nh3 emissions from livestock and poultry farming by letting the plasmaproduced nox react with the emitted nh3 to form nh4no3 hence prepare provides an innovative route for greening up 1 the chemicalfertilizerproduction industry and 2 the livestock and poultry farming sector