Dragon09/odtu_chatbot huggingface dataset:
simultaneous solar hydrogen and valueadded product generation by inexpensive photoelectrodes

the role of solar energy and the need for clean fuels such as hydrogen is essential in achieving a net zero future a sustainable way of green hydrogen generation is photoelectrochemical water splitting which uses only solar energy and water to produce green hydrogen and concomitantly oxygen this technology however with the currently demonstrated efficiencies is not costcompetitive a less explored application of photoelectrochemical devices is the generation of a valueadded oxidation product from abundant polymeric waste materials eg biomass plastics instead of the low market value oxygen such a device can lead to a reduced energy consumption compared to water splitting as well as high market value anodic product excitingly in this approach green hydrogen is generated as a byproduct virtually free on the cathode the solarhyvalue project proposes the use of perovskite and organic photoactive layers with a protective sheet to fabricate stable photoelectrodes for simultaneous solar hydrogen and valueadded product generation efficient biasfree operation of waste valorisation with photoelectrochemical device was only demonstrated with expensive precious metal catalysts platinum palladium the proposed large bandgap caesium lead halide perovskite layer has the potential to enable biasfree and at the same time efficient photocurrent generation even with the use of solely earthabundant materials this will be allowed by the novel device design and the development of a transition metal dichalcogenide mos2 catalyst doped at its basal plane with nonprecious metal heteroatoms resulting in excellent catalytic activity through increased scientific understanding the solarhyvalue project will lead to the first ever demonstration of a photoelectrochemical device that allows simultaneous biasfree production of solar hydrogen and valueadded product relying solely on inexpensive materials
australiafrance network of doctoral excellence

aufrande is a highly ambitious 156m interdisciplinary doctoral training program linking france and australia through 64 unique doctoral training positions led by rmit europe with participation of 22 french and 15 australian academic partners and supported by over 40 nonacademic partners aufrande aims to create a critical mass of collaborative doctoral training agreements between multiple institutions across france and australia reinforced with regular events where candidates and supervisors come together share common experiences and build a sustainable community the many legal and procedural elements developed to link the french and australian research ecosystems during aufrande implementation will lay a strong foundation for longterm impact on future collaborations and careersto ensure that aufrande attracts top talent globally all candidates will dualenrol earning doctoral degrees from both france and australia be employed in france on attractive salaries with full social security benefits able to extend contracts up to 35 years giving ample time to complete secondments research and training activities spend up to 12 months on secondment in australia with generous 10000 travel allowanceadditionally each position will be advertised with at least three topics to choose from proposed bottomup by supervisors across all disciplines all research projects will have the direct involvement of a nonacademic partner ensuring intersectoral experiences and societal relevance of the research training schools will be held regularly at multiple locations across france and australia bringing candidates and supervisor together to learn and network dissemination will aim to attract female atrisk and widening countries applicants best practises in international cosupervision and doctoral training will be documented and shared with the international community
virtual innovative learning laboratories for global engineering education village

the aim of village is to reexamine the postpandemic teaching processes and needs of engineering instructors and students for laboratory practice in a multidimensional multicultural and multidisciplinary context and to determine roadmaps for new instructional design models in line with the opinions of the stakeholders to create effective and sustainable instructional models while developing a pilot virtual lab and its learning materials to test the proposed modelvillage is a joint research and innovation ri project in the context of generating a sustainable learning model for laboratory engineering education considering the new normal and the needs of the instructors with the exchange of staff within partnerships of universities research infrastructures and smes in europe and beyond which aims to strengthen intersectoral and international collaboration in general the existence of some virtual laboratories for engineering education is known and some variables are effectively used beyond the state of the art this project aims not only to design another virtual lab but to design a sustainable model for engineering laboratories education based on a multidimensional multicultural and multidisciplinary analysis
fostering a common approach for the regulation of artificial intelligence in procedural criminal systems

artificial intelligence is rapidly permeating diverse domains in the criminal procedural field ai is enhancing the efficiency of law enforcement authorities and criminal justice systems in both preventing and prosecuting crimes through the streamlining of tasks like data analysis evidence assessment and crime prediction despite this accelerating trend a conspicuous gap persists due to the lack of a clear and comprehensive legal framework at both national and supranational levels an additional factor hindering a responsible and beneficial implementation of ai in the criminal procedural sector is that some technical characteristics of the ai prototypes developed so far eg opacity interfere with some criminal procedural principles and standards the lack of dialogue between legal scholarship and scientific community prevents the identification of suitable technical solutions given this scenario managing the legal and ethical implications of ai in the criminal justice system proves to be a prohibitive challenge the aim of future is twofold to support national legislators across the eu in the regulation of artificial intelligence in criminal procedure while fostering a harmonized approach to the subject to bridge the gap between the technical and the legal community ensuring the compliance of ai systems implemented in the criminal procedural field with its principles and safeguards to achieve these objectives future will firstly employ the legal comparison method in a groundbreaking manner it will be applied on a comprehensive legal and empirical data set covering all eu member states jurisdictions secondly it will bridge the expertise of legal and computer science professionals giving them the first tangible chance to investigate the technical issues obstructing the use of ai in criminal proceedings and to assess the feasibility of technical solutions
a novel noninvasive therapy based on injectable viscous gel for restoring the natural biomechanics of the spine and relieving patients from pain

over 400 million people globally suffer from back pain disc degeneration disease is the prevalent cause of back pain and it is responsible for high social and economic costs current treatments are only symptomatic physiotherapy pain management or surgery but they do not regenerate the disc and its functionat nc biomatrix we have developed vitadisc the first noninvasive early restorative treatment for disc degeneration that has the power to revolutionise the orthopaedics market it is an acellular porcinederived injectable biomatrix that restores disc height provides optimal support to regenerate the disc and aids in restoring healthy spinal biomechanics its mode of action is fully mechanical and it can be easily administered in an outpatient setting giving it a unique market advantageour biomatrix platform technology is readily scalable and provides a pipeline of further products for unmet needs in orthopaedic treatments such as earlystage knee joint arthritis
mof and cof hybrid ultrathin films a surface templated and scanning probe nanolithography approach

single organic molecules can be joined together to form extended frameworks materials that use metalligand coordination or direct covalent bonding as the glue between organic subunits termed metalorganic frameworks mofs and covalent organic frameworks cofs respectively are being developed for a huge variety of applications hybrid materials containing two or in some cases more distinct types of mof and cof often have an observed enhancement in their properties compared with the constituent pristine mof and cof materials thin films of mofs and cofs have emerged as promising materials for incorporation into electronic devices such as transistors and detectors it could be envisaged that in a similar manner to the bulk materials hybrid thin films containing multiple distinct types of mof and cof could provide a route to improving the performance of already promising mof and cof thin filmsinstead of layering the different materials on top of one another zdirection here it is proposed that mixing the materials in the plane of growth xy plane would enable the increase in the number of constituent mofs andor cofs without increasing the film thickness the proposed project aims to pioneer methodologies to prepare such hybrid ultrathin films in the first instance scanning probe nanolithography will underpin the approach regions with diameters of up to 100 nm will be etched into surface mounted mof or cof ultrathin films followed by the formation of distinct cof andor mof types within these confined spaces when the hybrid films have been thoroughly characterized by scanning probe microscopy and the processes by which they assemble have been established a more scalable synthetic strategy to fabricate the materials will be developed an approach which employs covalent surface functionalisation as opposed to scanning probe nanolithography to direct the selective incorporation of the different constituent materials will be taken
ai for realworld network operation

the scope of ai4realnet covers the perspective of aibased solutions addressing critical systems electricity railway and air traffic management modelled by networks that can be simulated and are traditionally operated by humans and where ai systems complement and augment human abilities it has two main strategic goals 1 to develop the next generation of decisionmaking methods powered by supervised and reinforcement learning which aim at trustworthiness in aiassisted human control with augmented cognition hybrid humanai colearning and autonomous ai with the resilience safety and security of critical infrastructures as core requirements and 2 to boost the development and validation of novel ai algorithms by the consortium and ai community through existing opensource digital environments capable of emulating realistic scenarios of physical systems operation and human decisionmakingthe core elements are a ai algorithms mainly composed by supervised and reinforcement learning unifying the benefits of existing heuristics physical modelling of these complex systems and learning methods as well as a set of complementary techniques to enhance transparency safety explainability and human acceptance b humanintheloop decision making for colearning between ai and humans considering integration of model uncertainty human cognitive load and trust c autonomous ai systems relying on human supervision embedded with human domain knowledge and safety rulesthe ai4realnet framework will be validated in 6 uses cases driven by industry requirements across 3 network infrastructures with common properties the use cases are focused on critical challenges and tasks of network operators considering strategic longterm goals such as decarbonisation digitalisation and resilience to disturbances and are formulated in a unified sequential decision problem where many ai and nonai algorithms can be applied and benchmarked
mechanistic insights into electrochemical co2 reduction reaction on copperbased alloys and intermetallics

notwithstanding the ongoing race to develop new efficient energy storage and conversion technologies and reduce greenhouse gases in the atmosphere the global emission of carbon dioxide co2 due to anthropogenic activities is reaching critic levels posing a serious threat to a sustainable development the major objective of this project is to open new avenues toward the capture and conversion of co2 through the development of novel transition metalbased intermetallic compounds as catalysts for the electrochemical co2 reduction reaction eco2rridentifying the active sites of a catalyst and the species involved in the co2rr electrochemical process is a precondition for the rational design of topperforming catalysts exhibiting both high activity and high selectivity toward valuable products for this reason this project aim to understand the dynamic evolution of the catalysts by detecting the intermediate states of the reaction process in real time using stateoftheart synchrotron scattering techniques such as operando xray powder diffraction and xray absorption spectroscopy to ultimately disclose the mechanisms of reactionreaching this goal is the key toward the successful design of technologically relevant catalytic systems able to effectively subtract co2 from the atmosphere and convert it to useful and economically relevant chemicals
catalysing scientific innovation into food safety action

the catalyse project will create a network of food safety actors with the aim to support adoption of knowledge and innovative solutions along the value chain the network will foster collaboration and food safety knowledge sharing in a model that collects and then translates knowledge and practices across our community through active education and facilitation the project aims to bridge the gap between end users innovators practitioners trainers and regulators by facilitating communication among these parties while matching practical needs with innovative solutions during network activities we will set priorities for future work provide food safety education and training and support food business startups and smes data on inventions and practices related to food safety will be made available on an open access platform to support broad communication education and facilitation will be cornerstone activities to support innovation and change management to ensure the successful implementation of newly designed solutions and adoption by member states food safety authorities catalyse will establish a community of practice to connect stakeholders from the complete value chain and promote crossfertilization of ideas to create a more resilient sustainable and equitable community
heritage activation through engaging experiences towards sustainable development

the future of europes rich cultural heritage is facing several challenges due to various threats including climate change natural or manmade disasters and lack of finance meanwhile global processes have a deep impact on the values attributed by communities to urban areas and their settings despite europes common values and creative diversity of traditions crafts arts and architecture social discrimination based on ethnicity race sex or gender and other characteristics persists in europe and is one of the key drivers of social exclusion access to cultural heritage experiences contributes to social cohesion and inclusion by strengthening resilience and the sense of belonging and improving wellbeing in this view there is a need for new design solutions that are resilient to the changing conditions and sensitive to local cultural heritage and to local topographic and climatic conditions heritact will consider cultural transformations driving sustainability and will explore new cooperation paths among relevant stakeholders interested in designing a new european way of life in line with the new european bauhaus to this end heritact intends to empower communities cocreation capacity and to redefine the role of cultural heritage in urban regeneration heritact will identify and enhance communityoriented processes and will introduce innovative and inclusive architectural and design solutions and culturalartistic practices to support environmental and cultural sustainability and to strengthen the cultural and creative industries through community awareness and policy making across european urban areas of many different scales and cultural settings interdisciplinary methodologies will provide stakeholders at 3 different cultural urban contexts across europe a decisionsupport system based on collaborative approaches for the reactivation of unused cultural heritage spaces andor for enhancing diverse communitiescultural identity and values
the trilateral magnetic exchange

the trilateral magnetic exchange initiative trilmax aims to make a transformative impact on research excellence at etvs lornd tudomnyegyetemelte through strategic collaborations with leading centres of excellence in germany helmholtzzentrum berlin fr materialien und energiehzb and spain universidad de oviedouo and universitat de valnciauv and supported locally by the associated partner budapesti mszaki s gazdasgtudomnyi egyetembme our consortium will decisively enhance eltes research capacity with a particular emphasis on magnetic van der waals materialsour research is aligned with the longstanding goal of the european commission to secure strategic autonomy in green and digital technologies we aim to identify and comprehensively characterize twodimensional magnetic materials that fulfil the requisites of powerefficient fast and scalable magnetic randomaccess memories mram our goal is to conceive a device concept at trl2 poised for a seamless transition to further exploration trl24 within the domain of horizon europes cluster 4our activities will extend beyond research and fortify eltes administrative capabilities enhancing our proficiency in securing and managing forthcoming funding opportunities within horizon europe and other international funding schemes trilmaxs overarching mission is to harness this research excellence as a catalyst for preparing subsequent proposals in the field of digital and emerging technologies under the horizon europe framework
reliable epidemic monitoring and control under geographic and demographic heterogeneities

the current covid19 crisis has highlighted the failure of existing epidemic monitoring techniques in timely predicting the epidemic situation and facilitating efficient policy recommendations because of being openloop or linearizationbased these techniques cannot handle model and data uncertainties effectively designing a feedback mechanism to enable reliable closedloop epidemic monitoring is crucial but challenging because of the nonlinearity and heterogeneities of the epidemic spread process the control mechanisms for epidemic mitigation are wellknown such as testing lockdown social distancing etc however when where and to what extent should the health authority implement these policies depends on the accurate estimation and forecasting of the epidemic situation which is very difficult with the classic observer design techniques to alleviate the difficulties posed by these observers an interdisciplinary approach of physicsinformed neural network pinn in combination with systemtheoretic tools is proposed in this project for closedloop epidemic monitoring that can effectively cope with uncertainties the task of pinn is to estimate the unknown nonlinearity ie disease transmission rate and epidemic parameters by using both the physics of epidemic spread ie model and the past epidemiological data the closedloop structure copes with the uncertainties and validates the estimation algorithm in realtime by predicting the future data and adjusting the epidemic model accordingly the information received by the pinnbased observer will be utilized by the optimal controller to devise optimal policy recommendations under socioeconomic constraints for epidemic mitigation the closedloop epidemic monitoring and control technique will be integrated to understand the geographic and demographic heterogeneities during epidemic outbreaks which will significantly enhance the effectiveness of optimal policies
maximising the cobenefits of agricultural digitalisation through conducive digital ecosystems

codecs will codevelop together with farmers and akis actors userfriendly approaches methods and tools able to document the cobenefits and the costs of technologies applied to real contexts in this way it will improve the collective capacity to understand assess and foresee the full range of benefits and costs of farm digitalisation and to build digital ecosystems that maximise the net benefits of digitalisation codecs will develop a vision of sustainable digitalization which will contribute to a multilevel transition that links social economic and ecological aspects together by adopting an innovative system based actor centred approach and an action research methodology based on coordination of 21 living labs through interdisciplinary and transdisciplinary teams the research will study the role of digital ecosystems in the rate of uptake of digital technologies and in the distribution of their costs and benefits will develop and test three indicators farmers digital readiness scaling readiness digital ecosystem conduciveness to monitor the level of digitalisation and foresee its potential costs and benefits it will assess and compare the full range of social economic and environmental costs and benefits of farm digitalisation identifying synergies and tradeoffs between different sources of costs and benefits it will test and demonstrate digital technologies in 21 living labs through in physical and virtual demonstration the codecs platform will host search demonstration and assessment tools codecs has a strong commitment to get an impact in the akis domain and in the policy field which will be put into practice through a dedicated work package on policy analysis and policy tools iii a set of policy briefs and webinars and an engagement strategy at local national european level through living labs a sciencepolicy interface an akis network and a demofarm network
sustainable seafood production

bluegrove welfare shield tackles an unresolved major issue in aquaculture fish welfare by introducing the most advanced salmon welfare monitoring and prediction solution the system monitors fish behaviour 247 gathering data which are combined with environmental models eg water temp oxygen current speed sunlight effects weather conditions and farming data eg fish size count feeding area to detect significant patterns that correlate with welfare issuesobtained data is presented in a userfriendly dashboard accessed both locally and remotely providing live analysis of fish behaviour and appetite fish welfare tracking and alerts of potential conditions that could lead to welfare issues early detection of welfare issues enables farmers to take preventive actions to avoid an outbreak and thus reducing mortality rates by 25 and improving fish growth up to 15 it also provides advice on best practices and benchmarking against the most productive fish cages