Dragon09/odtu_chatbot huggingface dataset:
multiwavelength laser for fast diagnostic in biomedical and manufacturing applications

milado will provide a robust and universal technology platform for lowcost and large volume fabrication of mid infrared mir lasers enabling novel sensors in medicine and production key innovation is the technology upscale of the epitaxy of quantumcascadelasers qcls on large area substrates and the development of concepts for direct iiivepitaxy on siliconmerging iiiv and siphotonics by integrating qcls and sibased mir photonics using cmosbased technology wellestablished but very costly iiivtechnologybased manufacturing of qcl light sources for spectroscopic applications will be replaced by a costeffective and scalable manufacturing technology on ceas cmos pilot line bringing mir technology out of its niche another building block of milado towards a general platform that can be extended for further integration of sensors and actuators in mems technology are mirpics made from gesigestructures for the definition of waveguides combiners and any other passive devices required to handle the optical connection of qcls milados technology will open up new markets by enabling novel sensors for personal medical diagnostics or edgesensors in chemical production the versatility of the approach will be demonstrated in use cases covering process control and medical diagnostics reaching from the hospital to the patient covering waste anaesthetic gas detection histopathology to biomarker monitoring
bacterialderived therapeutics based on circrnas bactherna

rna therapeutics are a rapidly growing field of research thanks to their enormous potential however production costs and delivery systems represents the major issues for their widespread use in clinics bactherna aims at overcoming these issues by developing novel circular rna circrnabased therapeutics using recombinant foodgrade bacteria circrnas are advantageous over their linear counterpart for their stability due to their intrinsic resistance to nucleases which cannot cut circular molecules without free ends their production costs are thus lower as they do not need chemical or enzymatic modifications moreover production in bacteria is simpler than chemical synthesis and it is scalable with further reduced production costs circrnas will be either purified as naked molecules or will be directly secreted by the bacteria in extracellular vesicles evs embedding targeting moieties importantly nonimmunogenic circrnas can be designed intriguingly bactherna will demonstrate that it is possible to include targeting moieties directly through programming of circrnas natural packaging ie by expressing appropriate surface ligands on recombinant evs finally the potential to reach increased efficiency thanks to the possibility of amplification through rolling circle mechanisms is yet another innovative aspect of these nextgeneration rna therapeuticsas a proofofconcept circrnas produced in bactherna will be applied to type 2 diabetes mellitus t2dm as a model target disease nevertheless bactherna will demonstrate a general strategy which can potentially be exploited in several other pathologies that may benefit of rna therapeutics approaches
neuromodulatory control of intrinsic multiscale brain network dynamics

spontaneous brain activity as assessed with restingstate fmri rsfmri is increasingly used as an index of interregional braincommunication and functional connectivity in health and disease however the physiological underpinnings of brainwide rsfmricoupling and the neural effectors of its dynamic reconfiguration remain undetermined recent investigations including my ownwork have crucially shown that rsfmri largescale activity in the mammalian brain is critically shaped by a limited set of recurrentwavelike spatiotemporal patterns further investigations by us and others point at a putative link between global patterns of brainactivity and fluctuations in internal states linked to arousal these observations suggest that the dynamics and specific spatialtopography of rsfmri network dynamics could be critically shaped by the intrinsic activity of ascending neuromodulatory systems likeacetylcholine ach or noradrenaline na this project aims to formally test this hypothesis via a firstofitskind multiscalemultimodal investigation of wholebrain rsfmri activity and intrinsic neurotransmitter function as assessed with mesoscopic imagingof geneticallyencoded ach and na fluorescent sensors in the awake mouse brain to causally link these two phenomena i willsystematically modulate general arousal levels and probe neurotransmitter specificity via pharmacological and chemogeneticmanipulations importantly dualcolor mesoscale calcium and ach or ne imaging will be coupled to rsfmri mapping to disentanglethe tripartite relationship between local and global neuromodulatory tone neural activity and network dynamics these studies willshed light on the neural drivers and functional significance of rsfmri signal with important implications for the use of this method tomap functional connectivity in health and disease
green innovations in hydrogen for sustainable energy transition

the h2start project aims to establish a centre of excellence coe in stara zagora to spearhead the advancement of innovative technologies for renewable hydrogen production and uptake as an essential component of the transition towards a lowcarbon and energysecure economy renewable hydrogen holds tremendous promise for bulgaria particularly in regions like stara zagora historically developed as the energy production heart of the region economically developed and well connected to infrastructure and transeuropean roadsthe coe situated in the heart of stara zagora is strategically positioned to lead the change in replacing coal mining with renewable energy and green hydrogen production deployments and export recognised as a hydrogen valley by the clean hydrogen partnership zahyr hv the regions successful transformation hinges on excellence ri activities attracting talents and gaining recognition and international collaboration led by tru and supported by bgh2a the coe aims to drive ri initiatives which will bring institutional change to the higher education sector in the whole system opening up to reforms linked to creating highly skilled employment opportunities and positioning bulgaria as an attractive hub for scientific and technological advancement collaboration with esteemed partners such as polito and cnr alongside the guidance of international recognized leaders will ensure robust governance management and administration systemsthe coe will revolutionize bulgarias research ecosystem offering modern infrastructure and services to attract nurture and retain research talent while fostering collaboration with industry for enhanced innovation and technology transfer as bulgarias research infrastructure outside of the capital sofia the coe in stara zagora will serve as a beacon for bringing ri in regions positioning the nation at the forefront of clean energy transition technologies based on renewable hydrogen production
proposing action to control and impede betacoronavirus emergencies

the covid19 pandemic caught the world unprepared vaccines and monoclonal antibodies mabs developed in record time mitigated the health and economic damages however our reaction has always been one step behind the virus evolution and emerging variants repeatedly escaped our interventions the omicron variant escaped humoral immunity generated by most vaccines and mabs by mutating immunodominant epitopes the extremely potent mab developed by our laboratory also lost potency against omicron here we propose to develop vaccines and monoclonals neutralizing existing and future variants of sarscov2 and other coronaviruses by targeting immunologically subdominant regions which are less susceptible to antigenic variation we will isolate mabs from individuals who had infection and multiple vaccinations whose repertoire is enriched in b cells encoding broadly neutralizing antibodies to build a map of the broadly shared epitopes structural prediction and clustering of the immune repertoire through deep neural networks will be used to improve the breadth of coverage of the mabs the monte carlobased sequence design of rosetta and free energy perturbation calculations will be used to insilico design proteinbinding proteins and identify newly designed immunogens which can be loaded on nanoparticles and used as vaccines this approach will provide broadly protective mabs and vaccines proactively designed to neutralize all variants of sarscov2 and new coronaviruses that are very likely to jump from animals to humans in the future if successful the approach to map subdominant epitopes and use of genomic and structural information to design mabs and vaccines targeting subdominant broadly conserved epitopes will pave the way to approach other pathogens with high antigenic variability such as influenza and hiv viruses plasmodium spp and antibiotic resistant bacteria this will strongly increase european competitiveness in fighting infections
hidden phases in 2dquantum materials

the hidden phases in 2d quantum materials hip2dqm project hosted at institute of physics belgrade ipb establishes materials structureproperty characterization as a new unit integrated into the center of solidstate physics and new materials synergistically and complementarily tied to the existing solidstate physics nanostructures 2dmaterials and electronic materials units new thrust adds advanced total scatteringbased fourier methods to the portfolio of tools encompassing raman infrared brillouin spectroscopies spectroscopic ellipsometry afmstm and magnetotransport it conceives ipbs utilization of largescale facilities in materials research and establishes a cohesive training hub at ipb for the incoming method open to researchers in serbia the western balkan region and southeast europe it solidifies ipb as a pocket of excellence and foundation for cooperation with industrial partners in era it fosters networking knowledge circulation and mobility for sustainable talent attraction and strengthens ri ecosystem in serbia the project provides a sustainable pathway impacting the culture of excellence performance and visibility of ipb for accelerated integration in the era through ample training measures of substantial depth spanning research innovation and researchsupporting administration channels hip2dqm fosters competitiveness and collaborativeness empowering vigorous pursual of research funding led by era chair a permanent worldclass research group will propel ipb into the quantum materials realm boosting institutional reforms aligned with era priorities characterization of hidden phases in kagome metals materials that are in focus globally fuels the project mechanics enabling stronger links between different ipb centers and strengthening cooperation of actors across era tackling the most pressing materials science problems project opens the door for growth in the ultrafast domain vital for the era competitiveness
verifiably safe and correct deep neural networks

deep machine learning is revolutionizing computer science instead of manually creating complex software engineers now use automatically generated deep neural networks dnns in critical financial medical and transportation systems obtaining previously unimaginable resultsdespite their remarkable achievements dnns remain opaque we do not understand their decision making and cannot prove their correctness thus risking potentially devastating outcomes for example it has been shown that dnns that navigate autonomous aircraft with the goal of avoiding collisions could produce incorrect turning advisories thus the lack of formal guarantees regarding dnn behavior is preventing their safe deployment in critical systems and could jeopardize human lives consequently there is a crucial need to ensure that dnns operate correctlyrecent and exciting developments in formal verification allow us to automatically reason about dnns however this is a nascent technology which currently only scales to mediumsized dnns whereas realworld systems are much larger additionally it is unclear how to apply this technology in practice i propose to bridge this crucial gap through the development of novel scalable and groundbreaking techniques for verifying the correctness of large dnns and by applying them to real systems of interest i will do this by 1 developing searchspace pruning techniques which will enable us to verify larger dnns 2 creating novel abstractionrefinement techniques which will allow us to scale to even larger dnns and 3 identifying new kinds of relevant specifications and key domains where dnns are used demonstrating the verification of realworld dnnsthis project will result in a sound and expressive framework for automatically reasoning about dnns orders of magnitude larger than is possible today this framework will ensure the safety and correctness of dnns deployed in critical systems greatly benefiting users and society
isotope geochemistry to water pool conservation in vineyards

in the eu changing precipitation patterns pose challenges to the wine sector urging it to adapt to shifting climate conditions iswine aims to quantify the effect of land management practices on the water pool of vineyards providing valuable information on climate change adaptation as european winegrowers increasingly recognize the urgency of harmonizing sustainability practices with economic viability and grape quality new zealand vineyards stand out as role models demonstrating their longstanding commitment to sustainability at the intersection of environmental and agricultural sciences iswine will establish two pilots one in northern spain and another in new zealand to empirically test the correlation between different land management practices and soil moisture grapevine water uptake and water use efficiency of grapevines using isotope geochemistry this approach will allow meaningful insights into vineyard resilience and crosslearning between the two regions eu wine stakeholders will participate in defining adaptive management measures resulting from the pilots thereby delivering tangible solutions aligned with the sector by generating actionable knowledge iswine can equip european vineyards with adaptation measures to balance environmental stewardship and agricultural productivity these efforts align with the european green deal and the common agricultural policy supporting many strategies and two eu missions of the member states iswine will be hosted by three highly qualified institutions the outgoing phase 24 months will take place at the university of auckland under the guidance of asso prof luitgard schwendenmann the return phase 12 months at the neiker technology center under the supervision of dr ana aizpurua and a secondment 3 months will take place at the university of barcelona under the guidance of dr adri barbeta
poles and people geographical societies statehood and civil society in transnational perspective 18701925

this project investigates the foundation of statehood science popularisation and transnational cooperation with specific regard to the polar regions and inner africa in the nineteenth century geographical societies formed the institutional base for the rising field of geographical research their foundation mainly in european capitals coincided with the growth of a civil society and the rise of imperial claims to power by simultaneously practicing and popularizing science they developed a lasting impact on the exploration and public perception of formerly inaccessible environments such as the arctic antarctica and inner africa however the study of these blank spots followed not only political and economic interests but also served sociocultural identitybuilding purposes and promised to provide scientific answers to questions of global interest such as climatology and ecologythe project will compare the geographical societies of four capitals brussels edinburgh oslo and vienna societies in these cities considered the polar regions andor inner africa as major poles of geographical inquiry sources including the understudied archival holdings of geographical societies will be brought together for qualitative and quantitative study particular attention will be paid to 1 historical geographies in which research on the polar regions and africa was practiced networks of exchange established and scholarship popularised 2 the relationship between state governance and geographical societies in the context of national and imperial statehood 3 interaction processes between science geographical exploration and the public sphere with regard to practitioners field sites and exchange formats involved targeted dissemination and communication activities such the development and implementation of teaching materials will contribute to a higher degree of evidencebased selfreflection on global responsibility and colonial heritage
wavesim the next generation electromagnetic wave solver

maxwell solvers are widely used in science and industry for the design and analysis of photonic devices radio frequency electronics integrated circuits antennas metamaterials and more unfortunately solving maxwells equations for complex structures is extremely computationally intensivein the erc funded research project deep vision we discovered a new approach to solve maxwells equations much faster a factor 2000 and more accurate a factor 10 at least than conventional methods in this proof of concept project we will perform the necessary research and development to come from these promising results to a minimum viable product that can be used by academia and industry we gather a group of early adopters implement feedback from these users and investigate different revenue models for the software all in preparation of commercializing the software
new catalysts for synthesis of stereodefined and modifiable tetrasubstituted alkenes

tetrasubstituted olefins are key to drug discovery and the ability to such entities is a compelling goal pioneering studies have led to a number of noteworthy advances by significant shortcomings remain for example it is especially challenging to access tetrasubstituted alkenes that contain four sizeable substituents or a f atom andor a cf3 unit most protocols can only afford one of the possible isomers tetrasubstituted alkenes that contain multiple modifiable substituents are particularly attractive because they can serve as diversification points that lead to a large assortment of desirable compounds olefin metathesis offers a strategically distinct efficient and stereodivergent route to such entities yet there are only a few reported olefin metathesis reactions that generate a cyclic tetrasubstituted olefin that does not contain two methyl substituents at each carbon ie no stereochemistry a much smaller number four cases are rcm reactions that afford cyclic tetrasubstituted olefins with one modifiable ccl bond all involve a ru catalyst however olefin metathesis reactions that can generate polyhalogenated olefins cannot be effected with a ru catalyst rapid decomposition only a mo or a w catalyst must be used but such complexes do not existwe will design a new class of pivoting mo and w catalysts that can be used to promote efficient rcm and crossmetathesis cm reactions that generate a wide range of readily modifiable tetrasubstituted olefins we will accomplish this by designing catalysts wherein the rotation of the imido and aryloxide ligands is synchronized so that a proper binding pocket is made available the expected products which can serve as versatile diversification points will contain 23 easily modifiable units we will also design an entirely new class of cyclic mo and w catalysts for cm between easily accessible trisubstituted alkenes and polyhalogenated alkenes a unique feature of these catalysts is that intra
spaceairground last mile infrastructure dynamic programmable distributed environment for edge farming

agrarian will focus on the design of an open and highly dynamic environment trl 57 with respect to the tools reuse composability and orchestration so as to enable tailored opensource digital solutions that will enhance sustainability performance and competitiveness of the agricultural sector agrarian will leverage mature and sophisticated technologies addressing the requirements of different workloads through a new programming environment and tools for the automated refactoring of existing andor new applications and data management frameworks enabling them to operate in edgebased deployments as well as new edgenative programming abstractions and middleware based on widely accepted open source technologies and adoption of containerbased technologies and orchestrators agrarian platform aims to offer smart connectivity for secure access to any of the relevant network infrastructure options ability to dynamically meet latency configuration and other requirements of each of the different network technologies integration of edge and cloud for a transparent infrastructure to organize and deploy software components on demand uniform management of distributed digital infrastructure for different edge types cloud components and services dynamic deployment and provisioning of services and applications that are time and locationdependent management of data to maintain data security and optimize data processing optimisation of operations in terms of energy consumption by enabling new tools and apps for field operations and resource use the proposed agrarian environment will enable the development of new tools and apps for the agriculture by improving operational effectiveness and efficiency through real time data processing a strong adss agricultural decision support system tool will be developed taking into consideration all specificities of farmers in rural communities enabling end users and stakeholders and maximize their benefit
achieving humanmachine collaboration with artificial situational awareness

the goal of the project is to enable humanmachine collaboration by using an artificial situational awareness system which is enabling ai to anticipate and respond to human needs by understanding human intent and goals while humans are extensively trained to understand the capabilities limitations and functionality of the machines they are using further improvements in humanmachine collaboration are currently hindered by lack of awareness of humans intent on the side of machines the project will develop and test an ai assistant application providing adaptable humancentric support to enhance air traffic controllers atco performance and to reduce atcos workload despite high task complexity this will be achieved by development of humanmachine collaboration environment that relies on recognition of atco intent atco situation awareness compared to machine situation awareness and atco mental load atcos intent will be analysed by tracking their attention and humanmachine interactions and comparing them to the tasks that need solving as assessed by the artificial situational awareness system adaptable support will then be provided either in solving the task they are currently focused on or solving an unrelated task autonomously this will allow atcos to maintain their skills and expertise while preventing a shift towards supervisory control that has been demonstrated to undermine human capability to takeover in situations with degraded automation a goal of the adaptable and humanaware system is to maintain atcos in an active role to train their skills and expertise on the job while selectively using higher levels of automation to augment capacity atcos are supported in their tasks rather than substituted by automation it is expected that atcos can handle highcomplexity scenarios when assisted by an attentionaware support system atco workload is expected to decrease with the use of support functions