Dragon09/odtu_chatbot huggingface dataset:
development of chiral plasmonic materials with the tailored optical response of selfassembled chiral nanocomposite

the scientific community has been highly interested in developing molecular and photonic devices in recent years due to their multiple promising applications with flexible and costeffective organic materials generally nanophotonic materials are nanocomposites hybrid materials having a structural organization with unique geometries of incorporated organic molecules and inorganic metal nanoparticles or metal complexes at nanodimension the topdown and bottomup approaches are adapted to fabricate such materials taking inspiration from the inherent chiral aspect of nature artificial chiral nanocomposites are designed by scientists to manipulate their optical properties in the fabrication of chiral nanocomposites the organization and use of chiral objects at nanoscale dimensions are of extreme interest because their resultant chiral structures will have excellent optical activity and chiroptical properties with promising applications such as chirooptical sensors circular polarizers and negative refractive index of materials in our proposal we aim to create chiral plasmonic cp materials nanocomposites by organizing on the surface and creating insitu plasmonic metal nanoparticles mnps on helical polyphenylacetylenes ppas chiral template respectively the local surface plasmon resonance characteristics of achiral mnps will be an advantage for chirality transfer from template to surface plasmons of achiral mnps the helical ppas follow the dynamic helical sense under external stimuli influence which is controllable thus taking advantage of the tunability of the chiral template the switchable cp materials will be created having chiroptical properties for an opposite handedness of p and mhelix containing plasmonic nanoparticles unlike most of the natural biomolecules supporting onehandedness of chirality and the final hybrid ppasmnps cp materials will be converted into thin films to study liquid crystalline properties
uniting statistical testing and machine learning for safe predictions

recent breakthroughs in machine learning ml have brought about a transformative impact on decisionmaking autonomous systems medical diagnosis and creation of new scientific knowledge however this progress has a major drawback modern predictive systems are extremely complex and hard to interpret a problem known as the blackbox effect the opaque nature of modern ml models trained on increasingly diverse incomplete and noisy data and later deployed in varying environments hinders our ability to comprehend what drives inaccurate predictions biased outcomes and test time failures perhaps the most pressing question of our times is this can we trust the predictions for future unseen instances obtained by blackbox systems the lack of practical guarantees on the limits of predictive performance poses a significant obstacle to deploying ml in applications that affect peoples lives opportunities and sciencemy overarching goal is to put precise interpretable and robust error bounds on ml predictions communicating rigorously what can be honestly inferred from data i call for the development of protective ecosystems that can be seamlessly plugged into any ml model to monitor and guarantee its safetythis proposal introduces a unique interplay between statisticsthe grammar of scienceand mlthe art of learning from experience leveraging my expertise in both domains i will show how statistical methodologies such as conformal prediction and testmartingales can empower ml and how recent breakthroughs in ml such as semisupervised learning and domain adaptation technologies can empower statistics i will tackle challenges rooted in realworld problems concerning 1 availability and 2 quality of training data as well as 3 testtime drifting data a successful outcome would not only lead to a timely and rigorous way toward safe ml but may also significantly reform the way we develop deploy and interact with learning systems
fluidic shaping of optical components on earth and in space

we propose to develop and demonstrate a new concept that leverages the fundamental physics of interfacial phenomena to rapidly fabricate complex optical components of any size from millimeters to meters with subnanometer surface roughness without the need for any mechanical processing such as grinding or polishing we term our approach fluidic shaping to describe its core principle the ability to take a volume of liquid shape it into a desired form and finally cure it to obtain a solid object the method relies on negating gravitational forces that act on the liquid which we achieve on earth using buoyancy forces and which can be naturally achieved in space flight by dictating the boundary conditions of the liquid we vary the minimum energy state of the system and drive the liquid interface into a desired shape the proposed project is composed of five main aims 1 development of a theoretical framework that would describe the range of optical surfaces that could be produced and provide engineering guidelines for the rest of the project 2 development of a standalone device for fabrication of high quality corrective lenses 3 development of methods for fabrication of high precision optics and expansion of the range of materials that could be used 4 demonstration of inspace manufacturing of optical components and 5 development of approaches for deployment of very large meters fluidic lenses these aims serve to put in place the basic and foundational knowledge that could enable transformative changes in multiple fields a rapid prototyping of optical components by enabling fabrication of custom high precision optics in minutes b access to corrective eyewear in low resource settings by enabling fabrication of quality lenses without heavy infrastructure c space exploration by enabling inspace manufacturing of optics and d astronomy by enabling large space telescopes that overcome current launch constraints
acoustic sensor solutions integrated with digital technologies as key enablers for emerging applications fostering society 50

listen2future will boost the potential of piezoelectric acoustic transducers to provide new solutions in the key application areas of health wellbeing and digital industry energy acoustic transducer solutions and the key underlying technologies are addressing many of the challenges in emerging applications towards a more digitalized societyindeed growing demand for memsbased acoustic transducers microphones ultrasonic transducers in medical and industrial devices are creating a new high demand for miniaturized low power sensors in combination with an intelligent signal processing system algorithms and customized packaging these technologies will be the key to achieve performant low power consuming miniaturized and costsaving systemsthe demonstrators will address 14 usecases in listen2future with their benchmark in low power consumption small size and low cost to open the door for disruptive acoustic applications major impact on quality of live for humans as well as on industrial and medical appliances can be expected the european position in acoustic sensors will be therefore strengthened by new piezoelectric materials and technologies with the capability to outperform the existing ones that are based on capacitive mems technologies this will contribute to reinforcing the unions strategic autonomy in electronic components and systems to support future needs of vertical industries and the economy at large the growth of the microphone market 8 14bio units in 5 years and the growth of the ultrasound sensing modules market 500mio 800mio in 3 years should be predominantly covered with acoustic sensors made in europethe double transition of european union toward digital and greener society there poses a high demand for reliable and secure data our integral acoustic sensor solutions are listening to these needs and mapping the acoustic senses and perceptions into society 50
oral delivery of encapsulated rna nanotherapeutics for targeted treatment of ileal crohns disease

crohns disease is a noncommunicable global disease with an accelerating incidence up to 23 per 100000 personsyear and annual health costs in excess of 5 billion euro in europe despite advances in new immune modulators and biological treatment up to 30 of patients become nonresponders highlighting the pressing need for novel advanced therapies genegut will transform treatment of ileal crohns disease cd by developing a firstinclass oral rnabased therapy tackling inflammation locally in the intestinal tissue while avoiding systemic side effects the success of mrna covid vaccines demonstrated the potential of rnabased therapies the challenge is to extend this revolutionary therapeutic modality to noncommunicable diseases where rna delivery has not been achieved such as ileal cd delivery of rna will be enabled by a combination approach where novel biomaterials including amphiphilic cyclodextrins and amino polyesters both patented by partners designed to overcome the barriers in the gastrointestinal tract will complex the rna within nanoparticles nps our industry partners novel capsule technology will ensure sitespecific release of the encapsulated nps at the diseased ileum the rnananotherapeutics sirna and mrna will modulate gene expression locally in the ileum by targeting the clinically validated jakstat pathway and two exploratory targets gremlin and adrenomedullin proofofefficacy will be demonstrated in vivo and also in a 3d multicellular model of ileal cd using primary human cells genegut brings together 9 partners from 8 european countries covering the lifecycle from bench to bedside creating a network of renowned researchers expert clinical scientists smes and larger pharma companies and a patient organisation genegut will result in an oral rna therapeutic ready for early clinical trial including coherent plans for clinical trials and regulatory submission thus enabling rapid availability for patients
optimising food information and communication towards healthier and more sustainable dietary patterns

food choices are determined by a wide range of factors socioeconomic conditions gender age etc on top of this mainstream media social media and marketing play an important role in food choices but how they do so is not well understood nor is the knowledge sufficiently applied to promoting healthy and sustainable diets and discouraging less healthy and less sustainable ones infoodmation aims to fill these gaps by increasing the knowledge of how these sources of food information influence food consumption and using it to develop best practices for food system actors policies and regulations to support healthier and more sustainable dietary patterns the project will identify approaches tools channels techniques and messages used by the private sector governments and civil society infoodmation key actors to communicate about food also focusing on vulnerable groups such as children adolescents and those of a low socioeconomic status these effects will be assessed alongside the effectiveness of parental control the impact of negative vs positive messages and the effects and spread of misinformation and how to counter it eu legislation related to food information will be evaluated in light of these findings as will policy measures at the national regional and local levels in eu member states these analyses will result in a compendium of best practices policy briefs and recommendations for responsible business strategies addressing different key actors supported by capacity building tools and an openaccess knowledge hub of results recommendations and materials on food communication continuous consultation with food system actors will ensure that the recommendations are relevant fair feasible and adaptable to different contexts infoodmation consists of a multidisciplinary consortium with an extensive network of key actors multistakeholder initiatives and eufunded projects related to healthy and sustainable eating
modified gravity from compact objects to dark energy

the origin of the accelerated expansion of the universe remains elusive the socalled dark energy might be a manifestation of modified gravity at very large scales while nearfuture observatories will improve the current bounds on such a possibility they will not likely be conclusive as to its nature an opportunity arises from the study of modifications of gravity at shorter scales specifically around compact objects like black holes and neutron stars recently made possible through gravitationalwave observationsthis project aims to dramatically improve the constraints on cosmological modifications of gravity by means of an interdisciplinary approach involving tools from high energy physics and both astrophysical gravitationalwave and cosmological observations modified gravity dynamics at different scales can be described in a modelindependent way as effective field theories according to symmetry principles strong constraints will come from a combined theoretical and phenomenological study within this framework both analytical and numerical tools will be developed and employed to qualitatively and quantitatively compute the expected signatures on gravitationalwave astrophysics allowing to hold these models against observations the constraints will then be translated to the cosmological modifications of gravity drawing novel conclusions as to which theories can consistently explain dark energy while satisfying bounds across a large range of scalesultimately this project will foster the collaboration among the high energy physics cosmology and gravitationalwave astrophysics communities enabling a much faster and efficient progress in the field of modified gravity in general this includes a more focused use of the available computational resources for timeconsuming resourceintensive tasksthe multifaceted training and support received during the action and the competences acquired are aimed at the career development of the fellow
lvehicles emissions and noise mitigation solutions

lens is a project aiming at assisting enforcement authorities cities and regulators to decrease the contribution of lcategory vehicles lvs mopeds motorcycles tricycles and quadrimobiles to noise and airpollution this is achieved by developing and promoting interventions and best practices that can address the noise and pollutant emissions of current fleet vehicles and by making suggestions for regulations to improve the performance of future vehicles interventions for the current fleet range from vehicle measures speed limiters digital sealing to infrastructure traffic calming and restrictions tampering detection and antitampering enforcement and smart apps that guide riders to adopt more environmentally and less noisy riding slides suggestions for regulations include the control of emissions under real driving conditions and the regulatory enforcement of antitampering measures the expected impact of these measures will be demonstrated by simulations in three actual case studies in locations which are negatively impacted by the operation of lvs an extensive test programme of noise and pollutant emissions on more than 150 lvs is proposed including onboard ontrack and inlab tests to collect the necessary performance data portable sensorbased and minianalyser measurement systems are being developed in the project to characterise gaseous and particulate pollutants including nanoparticles down to 25 nm under actual operation conditions a new technique based on the remote detection of gaseous emissions nanoparticles and sound levels of singular vehicles on the road is being proposed with the aim to detect worst noise and emission lvs including tampered ones the technique will be deployed in 3 realworld campaigns with the intention to sample more than 3000 lvs on the road a smart app will be enhanced with project findings to assist riders adopt a more cityfriendly riding style in terms of noise and emissions
personalized medicine in ovarian cancer design and development of a tool for response prediction to targeted platinated nanocarrierbased treatments

personalized treatments are considered major challenges in clinical practice they become particularly critical for diseases with poor prognoses diagnosed at later stages such as ovarian cancer here the vague symptoms the lack of reliable screening tools and the treatment resistances have made this cancer the most lethal gynaecological malignancy 40 5year survival rate 5090 recurrence rate thus ovarian cancer patients would certainly benefit from improved therapies and appropriate treatment choices in this regard the present ovactool project aims at developing a highly sensitive mass cytometerbased tool for the prediction of treatment response against newly designed targeted nanocarriers for platinum ptbased chemotherapy in ovarian cancer specifically diverse ironbased nanocarriers for pt iv prodrugs targeting ovarian cancer cells will be evaluated such assessment will also include the understanding of ovarian cancer proteome changes after therapy all this information will then be integrated to define biomarkers of treatment response which will be combined in a mass cytometry panel up to 50 markers together with proteins to identify other cells from the tumour microenvironment aiming at the stratification of patients into responders vs nonresponders to the newly designed drugs likewise protein corona formation on the nanostructures will be investigated to recognize potential challenges after intravenous injection of the drug in the clinical setting in summary this project will provide potential enhanced anticancer drugs and a prediction tool for targeted treatment choices which will help towards better survival rates for this malignant disease
ionic liquid mediated synthesis of zeolitesupported metal oxide based catalysts for converting co2 to dimethyl ether

making dimethyl ether dme from hydrogenating co2 has attracted great interest as dme is a good propellant coolant and clean fuel this process can break the thermodynamic restriction that exists for methanol synthesis from co2 and improve the conversion of main greenhouse gasthe synthesis of wellcontrolled shapes of solid materials in nanosize using ionic liquid il solvents has received tremendous attention by taking advantage of their extraordinary properties however the remarkably high viscosity which makes dispersing the support into the il a major challenge has limited their usage to the synthesis of unsupported nanoparticles as an msca fellow i will receive crucial training at ku leuven and will work on developing a novel process for the synthesis of supported nonprecious metal catalyst using il i will synthesize two generations of supported catalysts using novel synthesis procedures i will produce the onepot generation opg catalyst by onepot synthesis of support zeolite and metal oxide whereas the wellstructured generation wsg catalyst will be made by synthesizing zeolite using the il as a cosolvent for the opg catalyst both support and metal oxide will be synthesized simultaneously while for the wsg catalyst the il that is used in zeolite synthesis will be reused to engineer the metal oxide shape interestingly to date the structure sensitivity of the co2 hydrogenation to methanol and its coupling to dme has not been investigated i will implement the new catalyst methodology to enhance the catalytic activity and selectivity of co2 conversion to produce dme and establish synthesisstructureactivity relations
hypothalamic neuronal plasticity drives response to social experience

the ability to learn and adapt in response to diverse social experiences is fundamental for animal survival while key defensive actions against social threats such as flight or fight are innate previous social experience can guide the selection of the appropriate response to minimize future harm such as the development of social avoidance following social defeat the ventromedial hypothalamus is a key brain structure in the innate defensive system and activity in its ventrolateral part vmhvl can mediate both social aggression and escape yet how previous experience influences hypothalamic social threat processing is not understood recent evidence has shown that social defeat can promote functional reorganization of neural activity in this structure but the mechanisms of such plasticity have not been studied in this project proposal i plan to systematically investigate experiencedependent synaptic and neuronal plasticity in the vmhvl first i will use stateoftheart in vitro electrophysiological techniques in mice to comprehensively explore changes in synaptic transmission in this region following social defeat second i will leverage a recently developed calcium imaging method combined with optogenetics to follow and manipulate synaptic plasticity in the freely behaving mouse together with ethological behavior quantification techniques this approach will allow me to identify and causally test the in vivo functional consequences of defeatinduced plasticity in the vmhvl if successful this project will provide novel insights into the synaptic and circuit basis of hypothalamic adaptations to social defeat gaining a mechanistic and physiological understanding of neuroadaptations following social experiences will offer new targets for therapeutic manipulation of maladaptive responses to social adversity that underlie many psychiatric disorders and pose a significant public health challenge
hydrogen fuel cell electric power train demonstration

hypotrade aims to design assemble and groundtest a set of 500kw modular fuel cellbattery hybridelectric dep powertrain architectures including cryoenabled thermal management with 012 emulating operation in a relevant environment fl 150 the ground testing campaign will lead to characterization of the optimal system architecture validation of failure mode mitigations for the groundbreaking powertrain demonstration of complex operating requirements eg operation at high coolant temperatures startup and shutdown characteristics inflight restart and battery charging etc and assessment of the failsafe capabilities of the modular powertrain further the system will be complemented with a digital twin validated using the results from the ground test campaign hypotrade covers the disruptive maturation and adaptation of fuel cell systems for aeronautical powertrain applications via ground testing of different system architectures with cryoenabled heat management and representative electric loads following the demonstrator strategy outlined in the caju sriathe main impact of hypotrade is the fasttrack characterization of fuel cell powertrain architectures in relevant operating conditions providing the members of the clean aviation joint undertaking with a comprehensive understanding on the operational characteristics of modular fuel cellbattery hybridelectric dep powertrain architectures this will enable the focus of the efforts of the 2nd phase of the clean aviation programme in the correct direction helping to fulfil the ambitious goals of the clean aviation programme for eis of her sr and smr hydrogenpowered aircraft in 2035