Dragon09/odtu_chatbot huggingface dataset:
heart attack monitoring patch hamp

every year more than 60 million people live with cardiovascular disease cvd and more than 18 million people die as a result of cvd accounting for 36 of all deaths among different types of cvd heart attack and stroke are the leading cause of death in the eu the recognized guidelines identify the first one hour after the onset of a heart attack as the golden hour to receive proper medical assistance and prevent death or damage to organs hence there is a vital need for a compact and easytouse biosensing platform that can be used outside hospital settings by the patient or the ambulance staff for diagnosis of heart attack within the golden hour ntprobnp is a desirable biomarker due to its fast release kinetics higher circulation levels and lower fluctuations although significant advances in ntprobnp biosensors generations have been achieved these face some serious limitations as most of them cannot be used outside hospital settings requiring physical attendance of patients which leads to losing time beyond the golden hour and increased risk of death in this project i propose for the first time a wearable and wireless system for early and quick diagnosis of a heart attack outside the hospital setting the heart attack monitoring patch hamp that i propose here is composed of an ac electrokinetic acekbased fastresponse labelfree ntprobnp biosensor microneedles array for interstitial fluid sampling and data processing and wireless communication circuits although the acek phenomenon is a wellestablished method for the design of rapid biosensors this is for the first time that the acek effect is employed by a wearable biosensing system for high speed less than a minute and low lod below 1 pgml detection the hamp has a compact and conformal structure that is easy to use and can be used when patients feel the first symptoms of a heart attack and results can be conveniently sent to the nearby hospitals within the golden hour
microwave squeezing with superconducting metamaterials

the miss project targets transformative progress in the emerging field of distributed quantum sensing exploiting multimode microwave squeezing the final goal is to realise a robust and scalable technology for microwave squeezing and generation of nonclassical microwave radiation based on superconducting metamaterials the three specific objectives of the miss project are 1 technological innovation investigating new material and scalable microfabrication approaches to optimise the building blocks to produce travelling wave parametric amplifiersbased squeezers 2 metrology protocols developing dedicated cryogenic measurement protocols to accurately evaluate the radiation quantumness opening the way to standardisation 3 realisation of a prototype for real world applications developing a system with scalability potential for distributed quantum sensing in the microwave regime a usecase dedicated to multiparameter sensing for material characterisation will be targeted the outcomes of this project will pave the way towards real exploitation of quantumenhanced sensing techniques in the microwave regime the miss consortium brings together a unique set of expertise in design materials metrology fabrication cryogenic characterisation and commercialisation to be able to deliver on this ambitious goal
a multiprocessor system on chip with inmemory neural processing unit

deployment of intelligence at the edge presents many challenges because devices need to be lowcost and as such they are often constrained in computing capacity memory and energy resourcesthese constraints are not compatible with the need for much more advanced ai algorithms calling for mbytes of storage and tens of gops per inference and call for leaner edge ai algorithms the current state of the art for the few edgeai chips relies on lowcost process technologies at 90 or 40nm and in some cases up to 16nm with power efficiency between 15 topsw and power densities up to 1 topsmm2recently several industrial projects and a few products have started to surface pursing neuromorphic and in memory computing but none of these efforts have reached a level of maturity compatible with a mass volume production and cost and moreover the technology base they rely on is either not scalable to more advanced nodes flash or targeting ai computing algorithms whose practical applications are yet to be fully proven eg spiking the neurosoc approach instead is to rely on a solid mature and qualified reliable phase change memory technology to create an industrially proven path to go past the state of the art as such the neurosoc chip preproduct demonstration of the technology will be the first of his kind worldwideneurosocs aim is to develop an advanced multiprocessor system on chip prototype in fdsoi 28nm cmos technology that tightly integrates an aimc imnpu unit a local digital processing subsystem and functional safe multiprocessor host subsystems based on an enhanced version of existing riscv microprocessor implementation while covering imnpu security aspects holistically to tackle the requirements of a wide set of edgeai applicationsthe project will leverage stmicroelectronicss unique highdensity embedded pcm cell process technology being the denser and only such technology qualified and mature for embedded use in the industry world
integration and harmonization of logistics operations

logistics industry is facing continuous and significant challenges during the recent years the trend is the adoption of intelligent services for increasing the performance of the provided systems and synchromodal operations transfers and deliveries can benefit from the use of novel business models that adopt the aforementioned intelligent services when the optimization of the use of shared resources is the core target and become the basis for the provision of a climate friendly infrastructure the goal of synchromodal operations and the integration of heterogeneous logistics services is the reduction of current transfers in order to reduce the carbon footprint while securing the uninterrupted deliveries and the resilience to any disruptive event trace targets to the aforementioned integration activities offering a universal platform with functionalities related to planning scheduling optimization and events management as well as the use of blockchain technology to facilitate the real time conclusion of smart contracts and financial operations thus becoming one of the first attempts to provide an intelligent cover upon the current logistics frameworks trace envisions real demonstrators in different european countries with different goals that start from transportations with the use of shared resources the disruptive events detection and rescheduling of transfers while concluding with the use of unmanned vehicles to automate the last mile deliveries trace also proposes new transfer corridors safe areas where unmanned vehicles can collect items towards the final destination and new virtual hubs trace will perform studies related to the barriers towards the new logistics era the new business opportunities the requirements for the legislation and regulatory frameworks and expose the benefits of the proposed approach in terms of the reduction for energy demand and emissions while limiting the operational costs for logistics stakeholders
structure function and regulation of antimicrobial and virulent amyloids at highresolution

selfassembly of proteins and peptides into amyloid fibrils produced across kingdoms of life is associated with antimicrobial activity microbial pathogenicity and a wide range of diseases the correlation of fibrillation and morphology to function is poorly understood and highresolution structural information and mechanistic models are lacking our lab pioneered the atomiclevel analysis of bacterial amyloids and eukaryotic functional fibrils involved in cytotoxicity biofilm structuring and antibacterial activity we revealed novel morphologies extending beyond canonical amyloid cross structures of tightly mated sheets to include for example cross fibrils composed on amphipathic helices in addition we exposed a unique lipidinduced cross secondary structure switch in fibrils of the same sequence here we investigate amyloid fibrils which serve as key virulence determinants in s aureus and pseudomonas acting as cytotoxins and in biofilm scaffolding and as antimicrobials produced across different species we will leverage the knowledge and expertise and newly emerging methods in electron light and force microscopy to understand how fibrillation propensity fibril morphology and structural switches are connected to function membrane interactions and toxicity mechanisms at high resolution the findings are expected to identify structural features that underlie the formation regulation and activity of these fibrils providing advantages in specific environments understanding these structurefunction relationships will help to clarify the link between amyloid formation and antimicrobial activity we will use the insights gained from these studies for the rational design of antimicrobial peptides and small molecules targeting virulent determinants towards potential applications in the management of infectious diseases our findings on functional amyloids can overall advance life material medical and environmental sciences
development of costeffective process for phycoremediation of dairy wastewater and valorization of algal biomass for production of biofuel and biochemical a sustainable approach towards biorefinery

currently dairy wastewater dw is seen as a major global problem difficult and expensive to treat and potentially very harmful to the environment as it contains high amounts of organic and inorganic content the current treatment methods physicochemical and conventional are energyintensive and dont sufficiently remove the nutrients but with the high amount that is produced worldwide 0210 l wastewater l of milk processed this is potentially a valuable resource that if utilized appropriately can provide highvalue green chemicals and biofuel therefore a new costeffective method for the treatment of dw along with the generation of valuable biomass needs to be developed in this context algalbb proposes the concept of biorefinery for the substantive treatment of dw via microalgae coupled with biodiesel and biosuccinic acid sa production these objectives will be pursued through 1 the designing of a microalgae consortia that can remediate dw to achieve a zerowaste process and generate lipidcarbohydraterich algal biomass 2 the green synthesis of magnetic nanocatalyst for developing a lowcost efficient method for insitu transesterification for wet algal biomass to produce biodiesel 3 development of multienzyme magnetic nanocatalyst for efficient enzymatic hydrolysis to recover fermentable sugars from algal biomass 4 immobilization of fermentative bacteria for fermentation of sugars into sa the interdisciplinary algalbb will apply cutting edge biology tools to complete the aforesaid objectives algalbb adopts a circular economy approach that directly addresses clean water clean energy actions established by the eu horizon work programme and will support the competitiveness of european biorefineries the acquisition of transferable skills through algalbb will increase my employability in industry and especially in academia allowing me to establish myself as an independent researcher and reach a professor position within 510 years
research on indigenous data governance protocols a toolkit for working with indigenous knowledge

data governance trends increasingly emphasize the need to open access to data despite growing concerns over data privacy control and surveillance indigenous peoples with different epistemological traditions for the use and sharing of culturally sensitive information add the additional concern of peoples ability to exert data sovereignty thus while interest grow on the documentation and use of indigenous knowledge current data governance trends do not align well with indigenous data rights and governance rules this is the case of data on indigenous peoples perceptions of climate change impacts collected under the licci project 771056liccierc2017cog while adhering to the highest eu ethical standards data collected under the licci project failed to address indigenous data governance to develop a set of tools to guide the management of indigenous knowledge and data in the open while adhering to indigenous data governance principles in this project i will conduct research on indigenous data governance protocols ridagop in partnership with organizations working on indigenous data governance issues ridagop will undertake four activities in 18 months i a literature review to document indigenous data governance protocols ii an assessment on requirements to operationalize indigenous data sovereignty in an open context iii the development and testing of features to operationalize indigenous data sovereignty and iv the dissemination of results ridagop will facilitate the configuration and use of indigenous data sovereignty protocols allowing knowledge holders to set granular terms of access and use of data and to track data usage ridagop has the potential to reframe how datasets concerning indigenous peoples are managed and how indigenous peoples are represented beyond indigenous data sovereignty ridagop innovation in tackling equity in data governance can be upscale to issues such as national statistics or health
infrastructures of expulsion migrant deportation and policing in india

the unfolding migrant crisis in afghanistan has once again turned the focus on neighbouring countries as key locations where eu policies seek to enhance migrant hosting capacity yet research on southsouth migration and regional modes of prevention detention and deportation of illegal migrants remains limited taking the case of india my project aims to contribute such knowledge by addressing a central paradox in migration regulation ie why despite the proliferation of increasingly stringent forms and modes of migrant policing do state anxieties regarding the detection and deportation of illegal migrants continue to thrive my projects original hypothesis is that this paradox stems from the contingent stitching together of social material and biometric forms of policing that involve a range of formal and informal actors spaces and processes in unpredictable ways in conceptualising the uneven intermeshing of social material and biometric policing as infrastructures of expulsion i will analyse how the variation in forms of deportation policing produces precarity for migrants whilst engendering governance challenges empirically located in delhi my project will achieve its goal through anthropological methods of ethnography participant observation and interviews that will document practices of deportation policing in a residential neighbourhood police station and detention centre and its impact on african and south asian migrants hosted in the leading max planck institute for social anthropology the project will aid my scientific and professional training specialisation in migration and governance and career growth as an independent researcher insights on the paradoxical complexity of contemporary security frameworks and their substantial human and institutional implications will be disseminated through conferences journals media and a policy brief that will inform accountable regional and international migration policy
novel integrated approach for assembly analysis of intrinsically disordered proteins at high resolution

protein aggregation hallmarks several neurodegenerative diseases including alzheimers and parkinsons in parkinsons aggregation of the intrinsically disordered protein idp alphasynuclein syn leads to its intracellular deposition into lewy bodies which causes neuronal dysfunction recently it was discovered that syn can undergo liquidliquid phase separation llps whereby a protein solution spontaneously separates into a dense and a dilute phase this process is initially reversible but the high concentrations of the dense phase strongly favor the aggregation of syn into amyloid fibrils structural characterization of the transient syn conformations during llps and amyloid formation is therefore crucial for understanding the disease pathology on the molecular level this project aims to develop a novel experimental concept for the highresolution conformational analysis of syn assembly and aggregation using scanning mutagenesis combined with cuttingedge highthroughput biophysical techniques and computational analysis the core idea is to apply multiple biophysical assays to quantify the effects of hundreds of syn mutations on the kinetics and thermodynamics of llps and amyloid formation the resulting multidimensional experimental datasets will be processed within the phivalue analysis framework originally derived for protein folding and combined with molecular dynamics simulations the integrated methodology will allow gaining important structural and mechanistic insights into the earlyaggregation events of syn at a single amino acid level of resolution the project includes extensive training to enhance my scientific skills in modern experimental and computational methods the proposed strategy is widely applicable to other idp systems that can undergo llps and aggregation and paves the way for the design of rational and precisely tailored intervention strategies against the diseases associated with these phenomena
satellite processing by artificial intelligence enabling satellite analytics

business need climate change leads to infrastructure disruption food insecurity and global losses and hence does directly affect safety and security of people nowadays when an event occurs emergency protocols are activated and damages are evaluated in the following days there is a need of having vulnerability assessment information before the event occurs to know where the most vulnerable area asset or population is knowing the most vulnerable point and its dynamic evolution where the impact will be worst is a key information to generate an adaptative answer to climate extreme events and minimize socio economic damageshowever current impact analysis methods are semiautomated limiting the speed coverage and number of analyses that can be done our solution interoperable fast to deploy and easy to use is based in the analysis of different data sources such as copernicus satellite data meteo patterns and opendatamarket opportunity during the last decade thousands of satellites have been put in orbit creating the new space economy the total amount of investment done just in copernicus satellites amounts to 82 billion in addition according to space capital the total equity investment over the last decade in the space economy was 1777 billion however the penetration over different industrial markets is very low putting at risk the return of investment roiearthpulse goal artificial intelligence ai is the transformational technique of our era satellite data and in particular earth observation eo will greatly benefit as other areas from its application by lowering the cost of adoption and accelerating market uptake our company goal is to accelerate the market uptake of eo data with aiat earthpulse we are working hard on overcoming these barriers with the objective to leverage the full potential of ai4eo to make satellite analytics accessible to anyone experts and nonexpert users through our software spai
physics for all

throughout the past decades cutting edge research in the frontiers of physics astrophysics gravitational waves particle physics astroparticle physics has provided us with major discoveries and applications and has launched impressive initiatives in the physics of the very big and the very small despite the dissemination effort aiming to inform both the public and the school community about these initiatives and their impact to society a gap exists between research and societyeducation which might help to spawn misconceptions about the content context and mission of science and thus lead citizens to fall prey to antiintellectual attitudes and stereotypes to this end physics for all pico aims to support all citizens to increase their awareness of fundamental cuttingedge physics and of the impact that discoveries in this field have on their everyday lives with a specific focus on equity diversity accessibility inclusion and gender equality with targeted activities focusing especially on students by bringing together major european research institutions in the fields of frontier physics and science education as well as partners with high expertise in communication media and marketing pico will forge sustained links between researchers and citizens and coordinate researchers night and researchers at schools activities in 2024 and 2025 in 4 countries greece italy france spain aiming to engage more than 40000 citizens and inspire more than 2000 students in science and attract them to scientific careers
particle emissions air quality and climate impact related to fuel composition and engine cycle

among aviations nonco2 impacts the largest radiative forcing value is attributed to contrail cirrus recent tests have revealed an opportunity for lowering soot particles emissions and ice crystals which play a pivotal role in contrail properties through the use of saf however substantial disparities remain among those test campaigns involving a large variety of fuels engine types and combustors it is therefore not straightforward to compare and reconcile resultsin this context pacific aims to bridge the gap the project will test an unprecedented set of fuels from lab up to engineaircraft level with a similarity of hardware and combustion parameters it will translate the results into modelling efforts to better correlate i soot formation based on an improved yield soot index database and prediction model ii particle emissions depending on fuel composition for the whole engine thrust range via an upgraded groundtoflight correlation methodology iii the ice forming potential of engine emissions using advanced measurement methods on ground iv the nonco2 emission mitigation potential through the impact assessment of fuel composition and engine cycle on contrail properties and radiative forcing and longerterm climate impacts including co2 emissions fuel production this will allow to consolidate the costbenefit assessment of various fuel options and provide valuable inputs to potential future fuelrelated measuresby doing so pacific will pave the way for future fuel specifications minimizing the climate and local air quality impacts and will provide important inputs to future modelling and testing workpacific leverages on 11 partners from 4 countries bringing together a unique combination of engineaircraft manufacturers fuel producers research and academic expertise at the forefront of sustainable aviation collectively driving advancements to help strengthening the european aeronautics leadership position