Dragon09/odtu_chatbot huggingface dataset:
advanced singleatom electrocatalyst design exploration evaluation and evolution from fundamental insights

singleatom catalysis has become one of the most active new frontier in heterogeneous catalysis as well as electrocatalysis singleatom catalyst sac represents the ultimate in atomic effiency to minimise the consumption of expensive metals pt pd rh etc singleatom electrocatalyst saec also draw public attention to develop cleaner energy technique such as fuel cell to replace traditional fossil fuel aided by recent advances in synthetic methodologies characterization techniques and computational modelling amounts of sacs have been developed which exhibit distinctive performances for amounts of reactions sacs are known to have specific active centres which are strongly affected by surrounding coordination structure such that unique opportunities exist for the rational design of new catalysts with high activities selectivities and stabilities however due to inevitable heterogeneities in sacs such as the nature of active sites and their distribution understand of structureperformance relationship at atomic level and rational designs from fundamental insights are still challengingherein we propose the use of the metalsupports sac model system to understand the fundamental mechanisms where we can precisely determine and even selectively modify the active site and unravel the role of structure in catalytic activity in this project i describe how we will determine the sites that robustly anchor metal atoms on typical nitrogen doped carbon support in uhv test their performance in newlydeveloping electrochemical cells and further reveal reaction mechanism by in situ spectroscopy iras raman and theoretical calculation the outcome will be promising to bridge the complexiy gap and recreate the optimal active sites on real sacs and lead the way into a new era where heterogeneous catalysts are designed based on fundermental insights
nmr relaxometry for biomedicine and advanced materials

fieldcycling relaxometry experienced a tremendous boost during the last decade it represents an ease and versatile tool to monitor structure and dynamics in a wide range of time scales from picoseconds to milliseconds providing information of great importance for understanding the properties of biological systems and improving materials and drugs despite the numerous emerging possibilities of applications theoretical approaches for the analysis of the relaxometry data are often controversial and for some systems accurate models have not been identified the fcrelax project aims at developing the theoretical knowledge of the field dependent relaxation processes taking advantage of the joint effort of some of the main european actors in the field and at exploiting all potentialities of fieldcycling relaxometry for different biomedical applications and for the characterization of advanced materials the objectives are the improvement of efficacy and safety of mri contrast agents and paramagnetic nanosystems for theranostics the exploitation of relaxometry for cancer diagnosis and for the development of partially crystalline materials and of ionic liquids for their use as electrolytes in energy storage devices the program is based on highlevel multidisciplinary and multisectoral training and on a consortium of tight and complementary experimental scientists and theoreticians fcrelax comprises 10 academic partners and 3 companies from 8 european countries and will train 10 researchers who will benefit by extensive interactions between academic and industrial partners endowed with stateofthe art scientific and technical expertise and infrastructures the industrial partners include the only company in the world producing fieldcycling relaxometers a european company leader in the research and production of mri contrast agents and a scientific oriented technology company on the world market of magnetic resonance instrumentation
protest as a democracy test protest culture under transformation and as a transformative power

there is a steady trend of global democratic decline dedemocratization transforming political opportunity structures and creating new knowledge gaps about how protest cultures evolve and adapt to changing contexts addressing this gap the projects aim is twofold first to reveal whether and how ongoing dedemocratization processes affect patterns of protest culture and how these effects vary according to democracy consolidated new and developing second to trace whether and how affected patterns of protest culture influence the state of democracy in target countries by focusing on representation as inclusion of citizen preferences in political agendas research findings will shed light on two dimensions of protest culture particularly its internal capacity and its external constraints this will be done via analyzing historical contexts of variations in protest cultures across different types of democracy factors intersecting to trigger or shape prodemocraticantidemocratic protests political elite manipulation of legal and discursive frames to curtail public discontent role of traditional and social media creating opportunities or obstacles for actors engaged in contentious politics generational differences in perceptions of and participation patterns in protest culture and finally influence of protest culture itself on the state of democracy through representation as an outcome of civic participation the interdisciplinary project relies on methodological pluralism and integrates desk research and legal analysis biographical narrative interviews and focus groups quantitative and qualitative content analysis critical discourse analysis and visual analysis network analysis for mapping actordiscourse coalitions and q methodology the project responds to the work program culture creativity and inclusive society by addressing unconventional citizen participation for better representation in different cultural and democratic settings
thronsec druginduced secretome profiling for enhanced therapy

under normal conditions cells release proteins secretome to regulate fundamental processes like metabolism and immunity many diseases and their corresponding treatments involve alterations in the secretome and the cellular microenvironment understanding druginduced changes in the secretome is vital for early assessment of drug efficacy toxicity and resistance development we have developed a metabolic protein labeling technique based on bioorthogonal threonine analogues throncat that offers sensitive and nonperturbing analysis of druginduced changes in the cellular secretome throncat enables the identification and quantification of secreted proteins in response to drug treatment even in sensitive cellular systems we envision that druginduced secretome profiling disp holds promise for improving clinical and preclinical drug development by detecting specific signaling proteins and biomarkers early in the development process and validated secreted proteins may serve as biomarkers to assess treatment efficacy during drug development and clinical trials in this proof of concept proposal we will validate the technical and commercial feasibility of a platform that allows the analysis of the cellular secretome upon drug treatment thronsec will 1 show that secretome profiling upon drug treatment allows the elucidation of a drugs efficacy and mechanism of action as well as early detection of toxicity and resistance markers and 2 perform ipr market and business case analyses to ensure commercial feasibility and entry to market
analysis of floating microplastics from the atmoshpere to lakes

plastics contaminate the environment at global level and are a major concern for ecosystem safety and human health in particular plastics of smaller size called microplastics 1 m plastics 1 mm mps are considered a higher risk for organisms due to the combination of widespread distribution and toxicity indeed mps can contaminate every ecosystem even remote regions on the globe for which the atmospheric transport plays a pivotal rolethe aim of this project float is creating a model to simulate mp emissions in the atmosphere their dispersal and deposition for assessing the contamination of terrestrial and water surfaces by airborne mps at local scale and large scale ie central europespecific objectives are1 to generate simulations of mp emissions from densely populated areas their atmospheric transport and deposition to remote regions in central europe2 to quantify the contribution of the deposition from the atmosphere on mp concentrations in land and lacustrine surface water by direct measurements3 to validate the model by the measurements then use the tuned model to upscale the measurement outputs from the local scale to central europethe flexpart model will be used for simulations direct data on airborne mp deposition will be measured by stationary passive sampling devices and lake water surface sampling microplastic contamination will be characterized in terms of polymer type shape size mass colour and abundance by the end of the project float will provide a tuned model for the dispersal of airborne mps at large scale which will be used quantify the deposition of airborne mps on lakes in central europe
in vitro reconstitution of the minimal eukaryotic cell cycle oscillator

cell growth and division are the basis of all forms of life in eukaryotes the clocklike cycles of genome duplication and cell division are orchestrated by a complex set of biochemical reactions theory suggests that a negative feedback loop regulating the cyclindependent kinase 1 generates the cell cycle oscillations however because the putative cell cycle clock is tightly interlinked with numerous other biological networks experimental validation has proven to be a challenge to date several questions key to understanding how cell cycle oscillations arise remain unanswered do the identified core components indeed give rise to oscillations which components are necessary and sufficient and what makes the cell cycle clock oscillate with varying frequency to unravel what makes the cell cycle tick we will reconstitute the core cell cycle oscillator in vitro specifically combining stateoftheart biochemistry including the powerful frog egg extract system with synthetic and computational biology we will 1 develop fluorescentbased sensors to monitor key enzymatic activities of the cell cycle oscillator 2 use computational models to identify operational conditions for the reconstitution of the oscillator 3 reconstitute and analyse the individual reactions of the predicted negative feedback loop and 4 assemble the complete cell cycle oscillator in vitro and establish its capacity to oscillate the set of necessary components and which elements of the oscillator define its frequency using in vitro reconstitution as a radically new approach to interrogating the cell cycle cellcycleinvitro will answer longstanding questions about the cell cycle clock but more than this in developing a novel in vitro experimental platform and biosensors for the study of cell division we will provide powerful new tools with applications ranging from synthetic biology to the development of new therapeutics targeting uncontrolled cell proliferation
crosssectorial integrated digital services enabling energy localized innovation and community empowerment

the digital transformation of the energy system brings numerous benefits such as improved connectivity of the energy components direct market access for endusers and seamless integration of renewable energy sources however realizing these benefits requires addressing challenges such as ensuring endusers adoption of digital technologies addressing societal acceptance issues engaging communities effectively and ensuring decentralization and data sovereignty additionally an integrated framework allowing effective data integration across the energy value chain also including data from other sectors is required to address these challenges celine introduces an innovative framework aimed at promoting the widespread adoption of digital technologies within the energy sector fostering seamless interaction and collaboration among energy stakeholders it focuses on facilitating the adoption of localized communitybased and digitaldriven energy innovations which are usercentric communitybased and tailored to address the needs of specific geographical areas or communities celine will conceptualize codesign develop and demonstrate an opensource crosssector datadriven digital ecosystem and toolbox comprising a digital twin of community energy systems and ai assistant tools enabling the creation of tailored crosssector datadriven services aimed to 1 support communityled selfconsumption and production schemes 2 enhance endusers capabilities in managing energy resources optimizing energy usage and making wellinformed energyrelated decisions 3 empower endusers by improving their digital and energy literacy enhancing user experience and overcoming potential resistance and barriers celine tools and services will be tested in three realworld demonstrators ds across different european regions offering diverse climate geographical and socioeconomic conditions valenciaes lappeenrantafi and alpe cimbrait
recasting psychological interventions for customizing optimizing validating and enhancing recovery of chronic pain patients

chronic noncancer pain cp negatively impacts all areas of functioning severely limiting quality of life and increasing the risk of mental disorders psychological interventions are a key part of treatment with metaanalyses showing small to moderate effects on pain intensity and associated outcomes psychological interventions are themselves complex with multiple distinct components there is presently no taxonomy of these components and no information about which components are the active ingredients supporting the treatment effect which are redundant or even harmful and whether some patients respond better to some components rather than others the recover project is premised on two principles 1 to optimize treatments we need to know their building blocks 2 to improve treatment response we need to examine patientlevel predictors of responses the aims of recover are a decomposing complex psychological interventions for cp b reevaluating efficacy by examining the specific contributions of components and combinations c examining patient characteristics egage gender pain history predictive of better response to components or combinations and d creating an open app based on the project findings allowing users to personalize treatment by selecting the most effective components the methodology will involve retrieving and reutilizing individual participant data from randomized controlled trials of psychological interventions for cp and using advanced metaanalytic methodology such as component network metaanalysis training activities will span the entire project duration and the outcomes will be presented at international conferences and submitted to toptier peerreviewed journals recover has the potential to make important strides toward optimizing and personalizing psychological treatment of chronic pain
bergen research and training program for future ai leaders across the disciplines

lead ai at uib will provide an exceptional inter and multidisciplinary research and training programme for 19 experienced researchers ers who are versed in or curious about ai the recruitment process will be inclusive transparent and meritbased and aims to attract excellent researchers locally and internationally the researchers will be employed in postdoctoral positions for 34 years for both incoming and outgoing mobility in lead ai uib will exploit its unique crossdisciplinary strengths in ai research providing ers in fields as diverse as computer science medicine law psychology information science and the humanities with both disciplinary expertise and the broader knowledge of ai research that is needed to develop trustworthy and ethical ai that benefits society the program will promote institutional transformation and pioneering research on ai subjects while providing exceptional ai research and training opportunities personal supervision and mentoring for postdoctoral researchers structured skillbased training and highquality working conditions the program will equip the next generation of research and society leaders with ai knowledge and skills to collaborate across disciplines sectors and borders while offering academic freedom equal opportunities and a wellconnected regional ai ecosystem
superresolution microscopy for immune checkpoint inhibitors diagnostics

in the last decade superresolution microscopy techniques have emerged as powerful quantitative tools for biology they have capabilities to visualize single molecules at the nanoscale opening the door to study biological processes at a level not accessible before in the erc stg nanostorm we showed the potential of these techniques providing new fundamental knowledge on the mechanism and design of new targeted therapies however some of the methods we developed have the potential to be translated into applied clinical diagnostic tools in nanodiagnostic we would offer a proofofconcept of the application of super resolution microscopy and singlemolecule imaging for cancer diagnostic with a focus on patients stratification for immunotherapy novel advances in immunotherapies have brought the development of immune checkpoint inhibitors ici that reactivate the immune system against the tumor despite the high success of these therapies there is one main challenge they are only effective on a limited portion of patients and current diagnostic approaches are not capable of stratifying patient successfully nanodiagnostic will translate advance optical methods from an academic setting to the clinic and holds a great potential to provide new diagnostic methods to improve the outcome of immunotherapy
randomness and structure in combinatorics

randomness plays an inseparable role in combinatorics indeed nonconstructive probabilistic arguments are a powerful way to prove the existence of various kinds of combinatorial objects and the study of random discrete structures has illuminated nearly all fields of combinatorics i propose a program to achieve a deeper understanding of this role of randomness in combinatorics emphasising the relationship between structured hence explicit objects and random or randomlike objectsa there are many situations in combinatorics where probabilistic arguments demonstrate that almost all objects satisfy a certain property but it is difficult to explicitly specify an object with the property the most notorious examples are in ramsey theory which studies how disordered it is possible for an object to be i plan to investigate the structure of ramsey graphs with the goals of unifying the area and making decisive progress on important conjecturesb conversely certain areas of combinatorics have been slower to benefit from the probabilistic method particularly areas in which algebraic constructions play a major role design theory is the study of combinatorial arrangements with very strong regularity properties most naturally obtained by exploiting symmetryregularity properties of algebraic structures i plan to investigate probabilistic aspects of design theory and in particular to build a theory of random designsc actually structure and randomness often come together due to the structure vs pseudorandomness dichotomy elucidated by tao indeed there are many important problems in combinatorics for which it is known how to solve both random instances and structured instances in such cases we hope to decompose general instances into structured and pseudorandom parts handled by different means i describe several concrete problems in this vein whose study will advance our general understanding of this phenomenon
quantum electrooptic amplifiers for the next generation quantum and supercomputers

quantum computers face many bottlenecks towards upscaling the number of qubits and increasing their computational power one of them is the radio frequency rf bottleneck between the qubit processor inside the cryostat and the room temperature control and readout electronics and like for their classical counterparts hope lies in replacing the rflinks by optical fibers resulting in a hybrid situation where rfqubits will be used for computation and optical qubits will serve for remote communication however electrooptical eo devices that parametrically amplify rfqubits directly to optical qubits and vice versa have thus far remained elusive qamp will demonstrate a new class of eoamplifiers that realize the required unity efficiency to achieve this goal this is impossible with current eoarchitectures which suffer from a deleterious tradeoff between eo interaction strength g and eo losses qfactors this originates from their device design and enhancing g requires bringing the rfsuperconducting circuit in close vicinity of the optical waveguide which comes at the expanse of excess eo losses to cope with this we will pioneer a transparent eo device technology that enhances g without the need of bringing superconductors and optical waveguides in close vicinity of each other we will do so by concentrating the rf and the optical field in the same nanoscale interaction volume via dipolar screening in ferroelectrics andor ballistic transport in graphene confining both fields within next generation eomaterials will enable an increase of g from 100s of hz prior art to megahertzlevels simultaneously light is kept away from the lossy superconducting electrodes enabling moderate qvalues of 1e51e6 qamps eoamplifiers will finally overcome the scaling limitations of current superconducting quantum computers and will provide classical superconducting supercomputers with highspeed eo gateways they desperately need
plants in the ancient near eastern texts a transdisciplinary analysis of the humanplant relations in mesopotamia during the neoassyrian and neobabylonian periods

planet project aims to reconsider the role of ten plant species in mesopotamia during the neoassyrian and neobabylonian periods 10th6th cent bce in religious ideological scholarly gender and economic spheres it aims also to prove cases of human overexploitation of plant resources causing ecological traps whose longterm effects are still experienced today the project is the first fullscale study permitting us to dramatically increase our knowledge of mesopotamian humanplant relations by producing an innovative transdisciplinary nonanthropocentric paradigm involving the methods of historicalphilological and anthropological research the archaeobotanical literature and the tools of digital humanities it will set up an openaccess database offering a systematic integration of textual data and archaeobotanical information to establish links between plant emic names identifications and activities described in textual sources such data variety will be analyzed in the light of ecological anthropology and environmental humanities this holistic approach will make the outcomes relevant to a broad academic community since the addressed questions and methodologies can be used in other research fields regions and periods the dep saras sapienza and nelc penn are the perfect places to acquire new multidisciplinary skills study of cuneiform economic texts digital humanities and archaeobotany and to open significant future academic career paths saras has an anthropological section while nelc collaborates with the penn museum crucial to the successful implementation of the project the results will be disseminated and communicated through various channels and audiences online database scientific works statement for iraqi ministry of environment conference popular science articles social media exhibition and childrens book the communication strategy contributes to a greater awareness of the important role of plants in human life