Dragon09/odtu_chatbot huggingface dataset:
revealing the nature and identity of active sites through structuredependent microkinetic modeling for co2 electroreduction reaction

the presentday chemicals industry heavily depends on fossil fuels contributing significantly to the concerning rise in global co2 emissions however for transitioning to renewables largescale and high energydensity energy storage is needed the co2 electroreduction reaction holds promise in this direction due to its unique ability to convert waste co2 emissions back into valuable base chemicals at ambient conditions using renewable electricity however it currently lacks industrial adoption due to the lack of highly selective and stable catalysts understanding the catalytic properties such as selectivity and stability at the atomic scale requires fundamental insights about the real catalyst structure under reaction conditions and its effects on the reaction mechanisms the goal of this project is to investigate this structure sensitivity of the cubased co2 electroreduction reaction by developing a structuredependent microkinetic model to achieve this i will use boltzmann statistics and dft calculations to predict ensembles of cu nanoparticles with thermodynamically most stable morphologies under experimental reaction conditions and account for the respective distribution of active sites thereafter the reaction pathways towards key products such as hydrogen methane and ethylene over the active sites will be investigated the multiscale analysis based on the structuredependent microkinetic modeling will connect the experimentally observed macroscopic reaction rates with the nanoscale true structure of the catalyst revealing the structureproperty relationships of the co2 electroreduction catalyst the potential outcomes are 1 understanding how catalyst structure at the nanoscale affects its properties in the co2 electroreduction process
strategic integration of complex networks and systems for advancing biomedical research

biomedical research is a rapidly evolving interdisciplinary field that tackles the intricacies of complex biological processes disease etiology and mechanisms an increasing amount of available health data requires new tools and approaches to characterise multiscale multilayer complex systems complex networks and systems cns science therefore offers a comprehensive framework towards a holistic vision of human health and disease and improved prevention or treatment measures cbera aims to enhance the excellence and competitiveness of the recently established catlica biomedical research centre cbr at universidade catlica portuguesa ucp portugal by strategically integrating a cns research line this will involve the setting of a permanent new research team of outstanding researchers in cns along with implementing structural changes towards the european research area priorities and open science policycbera will contribute to i establish cbr as an international reference in holistic biomedical research pursuing a unique line of inquiry within the cns field ii position cbrucp as a reference in cns education by enhancing the quality and impact of the institutional programmes iii broaden cbr international networks with leading academic and nonacademic stakeholders to propel its reputation and visibility iv foster science awareness and facilitate knowledge transfer to society v introduce sustainable structural changesa set of networking tools and events expert visits educational research and training programmes and capacitybuilding activities will raise cbrs profile and performance cbera will act as a catalyst for structural changes fostering interdisciplinary and intersectoral collaborations and promoting internationalisationin summary cbera aligns with cbrs vision of becoming a european centre of excellence in biomedical research and contributes to bridge the existing ri gap between portugal and leading eu countries
transforming crafts knowledge for a sustainable inclusive and economically viable heritage in europe

tracks4crafts examines and transforms the transmission of traditional crafts knowledge tck to enhance the societal and economic valuation of crafts and align them with a futureoriented heritage approach in europe as intangible cultural heritage ich crafts and tck can be seen as resources for competitiveness innovation and sustainable development and quality of life contributing to sdg 4 8 and 11 yet the tools formats and instruments needed to foster the transmission and employment of tck are lagging behind which hampers the full development of its potential our objectives are to enhance and transform the transmission of tck for a more effective economic as well as societal valuation of crafts this is achieved in 4 tracks in which we 1 transform learning processes in physical spaces in which crafts people collaborate in hitech environments including fablabs and maker spaces etc 2 develop new digital technologies that enhance and transform transmission of tck 3 produce tools and instruments which enable capturing and optimising the value of the produced tck business modelling certification and property protection and 4 create networks to foster and disseminate the societal and economic value of tck eg through the charteralliance the output is based on experiments in 8 craft ecosystems in which we develop and test formats for learning and tools for certification and validation in which 1 the economic and cultural barriers related to traditional tcktransmission are addressed ia the lengthy nature of learning the fear of the craft getting lost and 2 the full potential of technology is tapped ia for turning embodied tck in opensource knowledge to ensure that the solutions bridge the heritage perspective and the economic and societal needs and that our solutions are shared and transferable our approach is deeply interdisciplinary and based on processes of multistakeholder cocreation including action research
global conservation histories and theories

today museums in europe and the usa are under heightened scrutiny in light of increasing requests for artworks to be returned to their country of origin and growing questions about the appropriate display of ethnographic collections conservation practices are changing to include multiple experts to choose the most appropriate methods to preserve material culture however while museums display artefacts from many origins and deal daily with complex conservation practices there is no comprehensive monograph or array of vetted online resources about the legacies of conservation on a global scaleglobal conservation histories and theories gloco will be the first academic research project studying the histories and theories of conservation of material culture at a global level from the sixteenth to the twentyfirst century gloco approaches conservation as a set of cultural and technological practices that aim to preserve and give access to art and material culture gloco develops an innovative framework centered around the study of a selection of objects mesoamerican featherwork asian ceramic and west african wooden sculpture and organized around key transversal concepts forms and fragments surface and time and visibility and vulnerability the importance and innovative dimension of gloco lies in its broad historical and geographical scope as well as in its contemporary relevance gloco considers histories theories and forms of conservation within and beyond the west to restore a plurality of perspectives we will publish four books phds and pi three articles pds host two workshops and create an online polyphonic dictionary pds and pi that presents a range of notions tied to various cultures of conservation these new definitions will become an essential resource for academics museum professionals and beyond thus gloco will reshape the current understanding of conservation through a deep rethinking of its histories and theories
an integrated toolbox for improved verification and prevention of adulterations and noncompliances in organic and geographical indications food supply chain

theros aims to implement an integrated toolbox being capable to modernise the process of verifying organic and geographical indications food products and preventing adulterations and noncompliances through the use of various technological innovations and data sources and while demonstrating enhanced security transparency and interoperability in the quality labelled food supply chain the envisioned approach consists of i lowcost digital and scalable solutions that rely on earth observation photonics internet of things and dna authenticity methods being coupled with advanced analytics machine learning and artificial intelligence in order to ensure efficient detection of fraudulent cases as well as monitoring of associated quality and sustainability elements ii blockchain enhanced traceability system and dynamic digital product passport for improved traceability security and transparent data governance iii platforms and algorithms allowing management and harmonisation of heterogenous data as well as their consolidation for the verification and validation of transactions across the supply chain iv interfaces to facilitate monitoring and inspections by competent authorities informed decision making by supply chain actors and policy makers as well as business model driven approaches to support short supply chains of quality labelled food products theros toolbox components will be extensively evaluated in real life settings through four pilot demonstrations in four different countries and while covering diverse requirements involvement of all relevant actors and different organicgeographical indication food products and fraudadulteration cases
integrated valuebased and multiobjective wind farm control powered by artificial intelligence

for reliable and affordable design and operation of wind power plants that also consider systemlevel stability and security as well as the surrounding natural and social environment coordinated wind farm control wfc and asset management solutions play an important role additionally given the urgency of growth implied by ambitious decarbonisation targets artificial intelligence ai and other digitalisation concepts are major accelerators of the energy transition and a key enabler for integrating the processes and prospects of wfc technology into the operation and design of the future energy systemsto support wind farm ownersoperators to make better decisions for systemwide optimised performance twains concept pivots on a fullintegration of wfc at five different levels 1 integration of multisource and multiformat data of varied nature from wind farms in different life stages 2 aienabled integration of multidisciplinary processes and phenomena affecting the wind farm operation 3 integration of multiobjective prospects of wfc to assess the true added value of a certain operation mode 4 integration of multilevel controllers and scenario analyses in decision support provision for harmonious coexistence of wpps with their environment and society via optimised operation and design and 5 integration of wider audience to twain outcomes twain decision support environment is a digital environment architected for multisource data integration and optimised computing which contains a set of toolboxes with the critical analytical steps to operate a wind farm effective and efficiently it is oriented to wind power asset management by wf ownersoperators considering as asset the wt and its components within a wf
the next generation of railway crossing asset management technology

railway crossings degrade significantly faster than plain line track with lifespans commonly lasting less than 5 years despite their design lives typically being 15 years this results in billions of euros being spent on unplanned corrective maintenance crossing renewals and delayminutes which would not occur if they could be better managed to reach their design livesxcross will develop a suite of integrated disruptive technologies which combine to provide a technological process for the monitoring inspection and maintenance intervention of crossing surface profiles to achieve the objectives new crossing inspection techniques will be developed using 3d laser scanning technology and computer vision to allow for fast repeatable and high accuracy crossing measurement these 3d scans will then be used to create digital twins dt of the crossing embedded with advanced wheelrail interaction calculation algorithms considering these wheel forces and also onsite practical maintenance constraints the digital twin will use optimisation strategies to calculate the optimal geometry profile achievable via onsite welding and grinding techniques in terms of lifecycle cost then to enable practical implementation of the calculated optimum crossing profile geometries augmented reality ar and 3d printing techniques will be developed to provide visualisation guides for onsite welding and grinding these technologies will allow the maintenance engineers to see their welding and grinding progress live and thus be an enabler for a stepchange in the quality control of crossing interventions lastly an early warning system will also be developed to act as the initial trigger for the deployment of the 3d scanning ar and 3d printing it is vital for detecting the early signs of degradation and thus initiating the deployment of the new maintenance process before the onset of irreparable degradation
development of magnetic resonance in latvia

the aim of the mr latvia project is to establish a regional centre of excellence in nuclear magnetic resonance nmr at the latvian institute of organic synthesis lios with a special focus on nmr applications in biopharmaceuticals research by linking the coordinating institution with two topclass european nmr centres and facilities centre de rmn trs hauts champs in lyon and consorzio interuniversitario risonanze magnetiche di metallo proteine in florence the project aims to create a national nmr core facility enhance the research and innovation performance of lios raise the research profile of its staff as well as strengthen its research management and administrative capacities the transfer of expertise from the advanced partners to lios will be achieved through interinstitutional seminars organisation of scientific events workshops summer schools and a conference shortterm visits onthejob training of lios earlystage researchers during longterm secondments and implementation of a joint research project as a result of this project lios will develop as a regional nmr hub involved in strategic networking activities with two leading nmr european facilities and integrated into the broader european network of nmr research infrastructures through providing access to nmr instrumentation and expertise the developed research excellence will be further spread across latvia and the whole baltic see region thereby contributing to closing of the research and innovation gap within europe
valueaware artificial intelligence

by valueaware ai we mean ai that includes a component performing the same function as human moral consciousness namely the capacity to acquire and maintain a value system use this value system to decide whether certain actions are morally acceptable and be aware of the value systems of its users so as to understand the intent and motivation of their actions and to properly and correctly engage with them the valawai project will develop a toolbox to build valueaware ai resting on two pillars both grounded in science an architecture for consciousness inspired by the global neuronal workspace model developed on the basis of neurophysiological evidence and psychological data and a foundational framework for moral decisionmaking based on psychology social cognition and social brain science the project will demonstrate the utility of valueaware ai in three application areas for which a moral dimension urgently needs to be included i social media where we see many negative side effects such as disinformation polarisation and the instigation of asocial and immoral behavior ii social robots which are designed to be helpful or influence human behavior in positive ways but potentially enable manipulation deceit and harmful behavior and iii medical protocols where valawai tries to ensure medical decision making is value aligned the project contributes to the general goal of making eubased ai more competitive by being more reliable robust ethicallyguided explainable and hence trustworthy it does not make new proposals for guidelines and regulations for which there is already considerable effort but advances the state of the art in core ai technology so that ethics is embedded inside applications making them grounded in universal european and personal values
deep learning meets behavioural ecology in the wild methodological applications using the sociable weaver

studies of wild animals from conservation to behaviour are usually based on individually marked animals this requires capturing marking and sampling animals which imposes limitations as these methods can be challenging time consuming and impact individual welfare additionally following and observing or video recording animals to obtain data is further constraining recent developments in artificial intelligence in particular deep learning have the potential do radically and rapidly change the way in which animals are studied in the wild these new methods can push current boundaries by allowing not only less invasive methods of identification but also obtaining large volumes of data and importantly collection of new types of data allowing new questions to be addressed in this proposal we bring together a team of scientist and technical staff from three european countries and south africa our aim is to develop highly innovative methods based on rapidly advancing developments in deep learning which can have a substantial impact on the study of wildlife biology specifically we will streamline noninvasive methods ie no capture in order to obtain 1 individual reidentification in the field 2 identification of individual attributes eg sex size 3 automatic identification of behaviours eg provisioning young aggression in addition 4 we will establish a pipeline to process large volumes of video data combining individual and behavioural identification the project is based on exchanges between staff with different expertise and on work conducted both in the lab and in field these exchanges are expected to boost creativity and result in meaningful skills transfer and a strengthened collaborative network the expertise and the methods developed will have a meaningful and lasting impact in the field of behavioural and wildlife biology contributing to increase europes competitiveness and attractiveness
regulation of hormonesensitive lipase in neurons

several lipids and lipidderived molecules play crucial roles in regulating brain function affecting synaptic activity and plasticity cerebral blood flow regulation and neuroinflammatory processes outside of the central nervous system the hormonesensitive lipase hsl mediates the actions of catecholamines glucagon and insulin on lipolysis while hsl is present in the brain its role in brain lipid metabolism remains unknown recent findings from the host lab demonstrate that hsl is abundant in neurons and enriched in synapses additionally genetic deletion of hsl in mice leads to memory impairment when exposed to aging or metabolic stress eg highfat diet feeding suggested mechanisms by which hsl deletion leads to brain dysfunction include the production of eicosanoids and endocannabinoids and control over energy metabolism and neurovascular coupling however the mechanisms regulating hsl activity in neurons remain unknown we propose here that hsl is a relay between neuronal activity and the production of bioactive lipids that control brain physiology this pioneering project aims to explore the physiological regulation of neuronal hsl and its neurophysiological implications in neuronal cells the research will be conducted at lund university supervised by dr joo duarte combining his expertise in brain metabolism and behavior with my background in biochemistry and cell biology this project holds immense potential for advancing our understanding of brain lipid regulation and its relevance to brain function
integration of advanced experiments computation and data for innovation in freeze casting and advanced porous structures

the proposed project aims to collaboratively research on icetemplating of advanced porous materials through modern data systemsharing experiments and numericalphysical modelling the project will establish systematic data of icetemplated porous materials and predictive modelling supported by machining learning for establishing detailed structuresproperties relationship the project will investigate the cooling process through experimental phased field modelling and molecular simulation for iceemulsion structure growthevolution process the data and advanced modelling approach established will be used to develop porous systems with tunable porosities for advanced applications one key area is to control porosity and distribution to achieve uniform porosities or gradienthierarchical structures in functional ceramics carbon pizeoceramics bczygdc ceramics for fuel cells membrane for hydrogen separation etc another area is to develop tunable pore sizeshape and porosity in monoliths beads and fibres of plastics eg for pla scaffolding etc the resulted advanced data system intelligent modelling program new materials and improved scientific understanding will contribute to the research and innovation capacity in europe and the world on icetemplating porous materials and associated systems with a long term economic and social impact the network will serve as a pivoting platform for future data sharing research and innovation speeding up material or product development cycle through interdisciplinary research it will enhance the ri capacity of academic and industrial partners sustain the effort in collectively challenging issue in this most active research area and jointly developing major breakthrough technologies it will also equip researchers with modern research facilities innovation skills and critical thinking capacity through integrated data system facilities dynamic collaboration with everlasting impact