Dragon09/odtu_chatbot huggingface dataset:
twinning for smart water thinking and rethinking wastewater management in circular economy frame

the green agenda for the western balkans through its pillars addresses the initiatives to support the region in developing circular economy ce strategies and fighting pollution of air water and soil driven by increased demands in water energy and food and simultaneously with the necessity to reduce environmental impact the water treatment sector urges for innovative solutions according to this wastewater can potentially contribute to the nexus of water energy and material recovery concerning the circulareconomy design the smartwatertwin project aims to boost knowledge and research excellence in the area of sustainable wastewater treatment and management by increasing the scientific and technical capacities of widening institutions in the long run smartwatertwin will initiate the paradigmshifting from linear traditional toward a circular future model in the water sector in the republic of serbia in addition it will serve as a soft instrument for assessing the boundary conditions for circularity by influencing knowledge levels collaboration and policy creation analysis assessment for the potential benefits of the circular economy for serbia will be performed and can be extrapolated for wb region indicators measuring performance towards the development of ce are competitiveness and innovation which will be unleashed throughout the project objectives the project will provide an opportunity for twinning in a coherent international approach to the circular economy through developing a comparative analysis from two perspectives thinking and rethinking of circular economy in the water sector the project will change the perception of wastewater do not think about waste but about the source
promoting an environmentallyresponsible hydrogen economy by enabling product environmental footprint studies

fuel cells and hydrogen fch systems are increasingly considered in energy and climate policies roadmaps and plans all over the world in order to avoid past criticalities such as those leading to a climate emergency situation sustainability criteria are being progressively implemented in these initiatives eg by promoting lowcarbon renewable hydrogen in europe in this regard sciencebased criteria and procedures are required to guarantee the environmental suitability of fch products reporting their lifecycle environmental profile according to the principles of transparency traceability reproducibility and consistency for comparability while these principles are aligned with those of the general methodological guidance for product environmental footprint pef studies further specification is required to effectively implement them when addressing fch products hence the hypef project aspires to support and promote the establishment of an environmentallyresponsible hydrogen economy by developing and testing the first product environmental footprint category rules pefcrs specific to fch products while paving the way for subsequent related initiatives in the fch sector hypef is conceptualised as the natural step forward in methodological specification towards policy and marketrelevant lifecycle environmental assessment and benchmarking of fch products the interdisciplinary approach behind hypef leads to crucial advancements regarding i the first development and application of wellaccepted pefcrs tailored to three preselected fch product categories electrolysers for hydrogen production tanks for hydrogen storage and fuel cells for hydrogen stationary use ii increased highquality data availability for consistent environmental assessment and benchmarking of fch products and iii first peforiented policy recommendations towards official qualification of an fch product as an environmentallyresponsible investment
baryonic semitauonic measurements for beyond standard model searches

in the field of particle physics today the search for what lies beyond our standard model is a longawaited goal my proposal will push forward this search and potentially uncover what we refer to as new physics i will be measuring a unique decay that involves the transition of lambda baryon to a tau lepton this decay is an excellent avenue to test one of the main pillars of our standard model an aspect referred to as lepton flavour universality lfu specifically i will examine the ratio of the rates of lambda decay to the tau lepton as compared to the other two leptons the electron and muon this ratio is expected to have a value of 1 in the sm however similar measurements with other parent particles have been done at 3 other leading particle physics experiments and a deviation from the sm expectation has been observed as an expert in the field i have performed one of these measurements at the belle ii experiment in a channel involving the decay of a b meson at lhcb i have unique access to the lambda channel and this will allow me to perform a highly anticipated measurement in the field one which will help complete the picture for lfu tests of the sm based on my wide experience at belle ii i will perform this measurement with improved sensitivity and extend the scope of this lfu test to involve angular observables the latter are more interesting since contrary to the ratio angular observables can help uncover the nature of any new physics if it exists to achieve my goal i will develop a novel multivariate technique based on highimpact variables from the event information to suppress the persistent backgrounds in lhcbs noisy environment i will also examine at new lambda decay subchannels ones that have never been measured before with my precision measurement i will confirm or annul a persistent anomaly in the field what ever the result i will impact our current understanding of the origin of our universe
manipulating arm movement preparation via a computer interface for neural decoding

our daily behaviors critically depend on our ability to execute carefully planned movements while motor planning is known to rely on the motor cortex the logic by which specific patterns of neural activity in the motor cortex contribute to the planning of a movement remains unknown addressing this issue is not only central to our understanding of the brain but may also lead to concrete advances in neuroprosthetics a recent theory of motor planning proposes that neural dynamics in the motor cortex acts as a dynamical system whose state is optimized via a putative corrective mechanism during the planning phase of the movement while this theory has had a profound impact on the field empirical evidence corroborating the existence of such a mechanism is crucially lacking in this proposal i devise a 3step approach to fill this experimental gap and test key predictions of the theory first i will design a behavioral task in nonhuman primates to probe the neural basis of motor planning second using this task i will characterize baseline motor cortical dynamics during normal movement preparation finally i will selectively perturb neural dynamics to assess the existence of a corrective mechanism within the motor cortex this manipulation will rely on a highly innovative approach based on braincomputer interfaces bcis to perform targeted perturbations of neural activity the project will combine the technical expertise of the host laboratory in motor control with my own expertise in complex neural data analyses acquired during my phd both the host and i will benefit from the project i will acquire technical and managerial skills i intend to leverage in my future research in turn i will bring a set of new analytical tools in the host team to complement and expand their existing research the project will be a major step in the direction of my future scientific agenda and will strengthen my application for a permanent research position in france
disappearing act reconstructing the crime of disappearances in times of political violence

disact will investigate the logic of the crime of disappearances in repressive and postconflict settings even though combatants have always gone missing on the battlefield the purposeful disappearance of people is a relatively recent phenomenon around 1000 people now disappear daily with high levels of public attention to the phenomenon yet we know relatively little about the historical origins of the crime the rationale for violent state and nonstate actors to deploy it or the processes underpinning its international diffusion in answering these questions the project will draw on indepth analysis of six carefully selected cases each geared towards documenting a different stage or thematic manifestation in the historical evolution of disappearances first disact will use archival sources to examine how disappearances emerged in the context of the french colonial counterinsurgency in algeria 19541962 it will then draw on rich ethnographic evidence of violence in cyprus 19551974 to shed light on the logic of the crime in conflict settings next disact will investigate the hitherto unexplored role of illiberal intergovernmental organizations in facilitating regional diffusion by analysing the shanghai cooperation organization sco in eurasia 20052020 finally the project will innovate methodologically by using forensic evidence to uncover the strategic logic of selective removal of remains of victims from original grave sites comparing the experiences of cyprus chile and bosnia this comparative interdisciplinary and multimethod project will blend ethnographic forensic legal and archival evidence to enrich the understanding of one of the most complex human rights violations of our time understanding the motives driving disappearances could identify the unexamined and interlinked dynamics of state repression colonialism violent conflict and postconflict accountability
battery cell assembly twin

batcat is the project that realizes the manufacturability programme from the battery 2030 roadmap creating a digital twin for battery manufacturing that integrates datadriven and physicsbased methods it develops a crosschemistry data space for two technologies 1 liion and naion coin cells and 2 redox flow batteries addressing a triple challenge in digital manufacturing i design ii operation and iii trusti by improved product and process design and optimization product quality and process efficiency increase this requires decision support that makes complex decision problems accessible to human decision makers the digital twin technology from batcat provides an interpretable industrial decision support system iidss based on multicriteria optimization surrogate modelling connects the highlevel analysis firmly to groundtruth dataii process operation and control is improved by acquiring and analysing sensory and operando data at real time facilitating live interventions within an industry 50 realtime environment batcat follows a rigorous approach to actionable modelling combining datadriven methods with deductive reasoning based on ontologies and formal methods answer set programming and bpmnbased model checking to guarantee a reliable behaviouriii the approach from batcat produces trustworthy models machine learning always retains a clearly characterized connection to the ground truth and any decision support or decision making from inductive reasoning is safeguarded by constraints through formal deductive reasoning all our models and methods are explainable and all our data are fair and explainableaiready xairthe digital twin is validated in pilot production lines for 1 coin cells and 2 redox flow batteries proving its transferability across chemistries the project is closely connected to the advanced materials 2030 initiative bigmap and battery 2030 bepa digipass csa eosc emmc and the knowledge graph alliance ensuring a community and industry uptake of the results
environmental analysis and resilience for transformative humanoptimized natural environments

the mission of earthone is to address the pressing issue of preserving and enhancing earths natural terrestrial ghg sinks by understanding how different drivers including socioeconomic demographic and physical constraints affect ghg fluxes the project adopts a unique and interdisciplinary approach integrating stateoftheart datadriven technology with regional context with a special focus on the most vulnerable areas in south and mediterranean europe including spain greece italy slovenia croatia and north macedonia through living labs to offer effective multitarget solutions and guideline to all stakeholders in lulucf topics
efficient fullerenefree organic solar cells

the accelerated urgency of transitioning away from fossil fuels is driven by climate change but also by the european energy crisis inthe wake of the covid19 pandemic it reinforces the demand for competitive solar energy conversion technologies organicphotovoltaics opv based on nontoxic abundant raw materials offer an inexpensive technology with vast opportunities for largescalerolltoroll production that is scalable to the multiterawatt level after a decade of rd several european companies areentering the market with opv products however new materials socalled nonfullerene acceptors nfas have recently beendiscovered and have yielded higher power conversion efficiencies this development occurred mainly in china so that europe is atrisk of losing its leading industrial position to the asia to reverse this alarming trend europe needs to increase its strategicinvestments into opv research two key directions of particular importance are tailored novel nfa materials and nfabased solarcells with long operational lifetimeour scientific goal within eiffel efficient fullerenefree organic solar cels is to recruit train and supervise 10 talented early stageresearchers esrs to design and synthesise novel nfas suitable for both solution and vacuum processing for the next generation ofefficient and stable opv in eiffel the unprecedented combination of targeted simulations organic synthesis devicecharacterisation and engineering based on industrial needs paves the way to products that overcome opvs presentday limitationseiffels training programme is uniquely designed to provide the esrs with multidisciplinary training interlinking chemistry materialsscience physics computer science and transferable skills eiffels ambition is to form a new generation of creative entrepreneurialand innovative young researchers with the organisational abilities needed to succeed in interdisciplinary hightech sectors
human stem cellbased technologies to model parkinsons disease and drive patientspecific cell therapy

loss of dopaminergic da neurons in midbrain underlies motor dysfunction in parkinsons disease pd pd is one of the most challenging neurodegenerative diseases to study due to the limitations of existing model systems in recapitulating its complex etiology resulting from individual risk variants distinct genetic and epigenetic backgrounds and agerelated environmental triggers the spark project human stem cellbased technologies to model parkinsons disease and drive patientspecific cell therapy will use induced pluripotent stem cells reprogrammed from pd patientderived somatic cells as well as from age and sexmatched healthy individuals to model key aspects of da neurodegeneration advanced human stem cellbased technologies including brain organoids and cell transplantation will be exploited to recreate functionally mature human da tissue in an ad hoc diseaselike environment a singlecell sequencing approach will be used to obtain molecular insights into pd etiopathogenesis and the pathological mechanisms responsible for da neuron degeneration lastly gene editing in a patientspecific genetic background will be performed to create an autologous source of healthy da neurons reverted from the diseaserelated phenotype these cells will be preclinically validated in a pd rat model with a view to ultimately achieving autologous cell replacement treatments for pd
computational imaging as a training network for smart biomedical devices

our vision is to develop novel unconventional techniques for multidimensional biomedical optical imaging for the detection and mapping of absorption scattering and fluorescence in biological tissues using visible and nearinfrared light the possibility of detecting other dimensions like time and wavelength together with space dramatically improves the imaging and diagnostic power of biomedical devices so far this capability is strongly hampered by the fact that most of the biomedical instrumentation works trying to maximize the number of measurements pixel raster scans regardless of the information content thus leading to a huge amount of data to manage transfer and analyze with consequent bottleneck and gap between measurement and result concise will overcome these limitations thanks to an outstanding research and training programme based on the vision that i a system as a whole includes both hardware and software integrated and working together ii acquisition and detection are piloted by information content derived by the sample under an adaptive datadriven framework under this approach esrss will be capable of leading and boosting the biomedical imaging industry towards the development of a new generation of devices with a strong impact in the sector and in general healthcare the consortium balanced among eu experts with computational experimental and industrial competences will provide esrs with a unique advanced multidisciplinary training covering all the aspects of the biomedical imaging science modelling design development data analysis validation and translation to the application
empowering radiologists in cancer diagnostics with artificial intelligence

there is already a major shortage of radiologists who analyse ct scans for cancer diagnostics radiologists spend too much time on manual and repetitive tasks such as manually measuring lesions using inadequate tooling as the incidence of cancer is expected to grow 274 over the next 10 years according to who the pressure on radiologists will only increase leading to misdiagnosis or delay in diagnosis with potentially fatal consequenceswith better medicine artificial intelligence the time radiologists spend on interpreting cancerrelated ct scans is reduced by 4060 by automating a range of repetitive tasks to significantly streamline workflows we help reduce the shortage of radiologists while saving lives with timely and accurate diagnosticsour solution is the first aipowered tool for radiologists that takes the fullbody approach and enables dynamic assessment of tumours overcoming the biggest shortcomings of current offerings on the market
empower converged optical wireless configurations with cellfree technologies for highdensity 6g networks

empower6g proposes a novel converged opticalwireless architecture that realizes an efficient 6g cellfree cfbased access network for highdensity and highcoverage deployments the proposed architecture takes full advantage of the distributed processing cf concept as well as of wireless mmwave solutions while being inline with the oran alliance specifically the empower6g vision is based on the development of novel solutions at the radio access domain by enabling emerging cf technologies while also contributing innovations at the optical transport domain and significantly evolving the mec system towards fully elastic edge computing the empower6g network configuration deploys a distributed edge infrastructure with data centres dcs structured in 2 tiers featuring radio edge regional edge nodes where the former dcs hosts the network functions of the virtualized ran fully aligned with the oran specifications while the latter dcs host nonrealtime network functions thus empower6g will shape a novel 6g network configuration by addressing challenges at the radioedge the regionaledge and the networkmanagement domains at the radioedge domain empower6g aims at designing novel cf networking mechanisms that will allow the significant scaling up of radio unit ru deployment in a costeffective manner by exploiting the application of the distributed processing cf concept based on the disaggregation of the traditional cf central processing unit cpu into distributed units dus and a central unit cu in line with the 3gpp ngran architecture in parallel empower6g proposes an innovative mmwave hybrid mimo solution with beamsteering and beamsharing support at the regionaledge domain empower6g aims at providing a new design for an optical regional edge network with ftth support in order to achieve optimum functional splitting options while also supporting novel controlplane protocols for cf networking support
synaptic dendritic architecture as a determinant for processing emotional information of opposite value in amygdalarhippocampal subnetworks

the ability to form emotional memories of aversive or rewarding stimuli is a crucial ability to determine avoidance or approaching behavior recent reports identify specific populations of nthe ability to form emotional memories of aversive or rewarding stimuli is a crucial ability to determine avoidance or approaching behavior recent reports identify specific populations of neurons within the basal and lateral nucleus of the amygdala bla and their corresponding projections that are selectively activated during the retrieval of memories of positive or negative valence interestingly bla neurons projecting to the ca1 area of ventral hippocampus vca1 are tuned for either positive or negative predicting cues suggesting the existence of two distinct pathways routing opposite information to vca1 how emotional values originating from the bla are differentially processed by downstream vca1 neurons remains unclear an appealing possibility is that vca1 encodes different valencerelated information through distinct spiking patterns and temporal structures distinct signal processing in the two blavca1 pathways might be supported by specific nonlinear dendritic input integration a mechanism that can be promoted by input clustering induced by heterosynaptic plasticity we hypothesized that an organized synaptic distribution within blavca1 subnetworks exists and that local heterosynaptic plasticity determines different temporal structures of neuronal output vca1 in the processing of negative or positive information we will use a novel viralbased tracing approach combined with an established assemblylabeling strategy to understand the anatomical inputspecific structural organization synapses of different valencerelated information along vca1 dendritic arbour then to dissect the functional implication of such synaptic organization we will employ a combination of singlespine calcium imaging electrophysiology behaviour and in vivo endoscopic calcium imaging