Dragon09/odtu_chatbot huggingface dataset:
climatesmart rewilding ecological restoration for climate change mitigation adaptation and biodiversity support in europe

the european union aims to reduce net carbon emissions by 55 in 2030 and become climate neutral by 2050 these goals can only be met if it boosts carbon storage in terrestrial ecosystems preferably while fostering socioenvironmental cobenefits such as conserving biodiversity adapting to climate change and safeguarding socioeconomic and cultural values both the ipcc and the ipbes have emphasised the great potential of ecosystem restoration and related naturebased solutions nbs for addressing the challengewilde introduces climatesmart rewilding as an innovative restoration approach to create climate benefits while also addressing other socioenvironmental needs the project gathers a multidisciplinary team of leading european experts to develop a research and innovation programme addressing the climatebiodiversity nexus in tight association with the socioeconomic dimension of largescale restoration the team will also project scenarios to assess europes rewilding potentials under diverse landuse and climate change futureswilde will i generate comprehensive casecomparative data on european rewilding trends and outcomes ii quantify the net social economic and environmental benefits synergies and tradeoffs related to rewilding and alternative landuse options iii develop cuttingedge projections for future land use and climate scenarios and iv develop tangible and readily accessible decisionsupport and management guidelines to enable policymakers conservation managers communities and the private sector to coconstruct climatesmart rewilding strategies as effective nbs for meeting the eus climate and biodiversity targets embedded within an ambitious stakeholder engagement communications programme wilde research will enable climatesmart rewilding as operational largescale nbs to effectively foster the natural capacity of europes ecosystems for climate change mitigation adaptation and biodiversity support
fundamental understanding of solar driven interfacial evaporation using 3d hierarchical hybrid structures

facing water scarcity that affects twothirds of the global population our planets demand for sustainable solutions has never been more critical solardriven interfacial evaporation sdie is a promising method to produce fresh water using solar energy despite many advancements in material development the fundamentals of interfacial transport have been left untouched with localized heating proximate to the interface sdie departs from conventional evaporation mechanisms by creating pronounced temperature and pressure gradients proximate to the interface substantially affecting liquidvapor interactions this distinction prompts reevaluating traditional models and concepts highlighting the pressing need for an updated framework with its primary objective as crafting a transport scheme for accurate interfacial flux predictions i will examine sdie using concurrent advanced microscopic thermography fluorescent and optical imaging techniques along with computational fluid dynamics cfd and theoretical approaches to reveal uncharted dimensions of desalination solwator proposes innovative 3d patterned hybrid structures that provide optimum hydrothermal conditions for maximum evaporation from liquid meniscus this will be accompanied by the formulation of updated cfd and theoretical models to understand the effects of localized intense heating on the coupling of interfacial heatmomentum transport and vapor diffusion in sdie with solwator identifying bottlenecks it provides optimization guidelines and sustainability studies the outputs address one of the most pressing challenges of our time making sdie highly feasible for clean water shortage challenges and enhancing the socioeconomic facets of our global community the predictive tools and the knowledge gained will also have farreaching benefits for other phase change and localized heating areas including microreactors oil recovery and propulsion technologies
neuron soundware detecting machine failures early combining sound ai and iot technologies

nsw is an aibased acoustic and vibration diagnostic technology for early detection of broken machines and process monitoring providing unparalleled insight into the operation of mechanical systems combined with its largescale applicability and ease of use it disrupts the way machines are diagnosed facilitating industrial sustainability and catering to the needs of industry 40 our technology acts as an auditory cortex understanding audio signals and detecting salient problems delivering highly reliable results with 996 accuracy nsws integrated hardware with embedded edge software and cloudbased software platform automatically detects machine faults before other methods preventing costly downtime and unnecessary maintenance our detection process utilizes our proprietary audio dataset which contains terabytes of data and is continuously expanded with each new anomaly improving the accuracy of the algorithms the faults addressed and the types of machines
active galactic nuclei and population iii stars in early galaxies

the first stars must have started the generation of heavy elements and the formation of the first galaxies in the earliest phases of the universe at the same epoch the seeds of the supermassive black holes which are detected in the centres of all nearby massive galaxies including our own milky way must have formed while theoretically predicted the detection of these first stars and seed black holes is an outstanding observational challenge in modern astronomy with the proposed apex project i will capitalise on two gamechanging capabilities of the james webb space telescope jwst to deliver upon this challenge i the coverage of previously inaccessible wavelengths and ii the power to spectrally and spatially resolve early galaxies and crucially their surroundings with the integralfield unit spectrograph nirspec this is decisive to single out the locations of the first stars and black holes through their distinct spectral signatures with guaranteed jwst observations and the largest approved opentime programme to map galaxy spectra during the first billion years of cosmic time the apex team will 1 search for and characterise the very first stars population iii that illuminate the universe 2 identify early black holes and measure the masses of active galactic nuclei to constrain supermassive black hole growth 3 derive the physical properties of the earliest galaxies and study the role of the first stars and black holes in their evolution 4 accurately compare our data to simulations to significantly improve models of the early universe building on these novel and cuttingedge data and my extensive expertise in integralfield observations the apex project comes at the right time to enable a major leap forward in our understanding of the early universe
siteselective csp3h functionalization with gaseous reagents using hydrogen atom transfer photocatalysis in flow

an essential part of synthetic organic chemistry is the conversion of raw materials into highly complex molecules while traditionally this has been achieved through conversion of functional groups nature has developed strategies to deliberately functionalize ch bonds in organic molecules mimicking natures machinery chemists have developed a diverse set of powerful ch bond functionalization strategies however undirected and selective ch bond functionalization is still very challenging and it remains a dream reaction for the community herein i propose a novel approach that combines both chemical and technological tools and is based on a continuousflow photocatalytic hydrogen atom transfer hat that uses cheap decatungstate to activate these csp3h bonds selectively four different reaction classes will be developed which forge co cno cso2x and cco2h bonds using respectively o2 no so2 and co2 as cheap and atomefficient reagents all these methods provide useful functional handles which can be seamlessly engaged in other transformations i will show that our methodology can be used to enable the latestage diversification of bioactive molecules establishing a new way of retrosynthetic thinking furthermore i propose to exploit the intrinsic ability of hat to abstract a hydrogen from volatile alkanes such as methane to generate the corresponding carboncentered radicals these nucleophilic radicals will be engaged in various crosscoupling transformations including enantioselective variants moreover i envision that a combination of continuousflow automation technology and machine learning will provide a muchneeded technological impact enabling the development of unique screening tools for the reproducible functionalization of organic molecules the synthetic methods and technological tools will provide a breakthrough in the selective functionalization of strong csp3h bonds in both gaseous alkanes and biologically active molecules
geographies of dynamic governance assemblages in development cooperation civil society spaces

interacting sociopolitical economic and environmental crises are destabilizing efforts to attain the global vision entailed in un agenda 2030 the need for adaptive and inclusive development cooperation governance has never been stronger as complex needs accelerate due to the coronavirus pandemic rapidly changing climates and increasing levels of conflict and human insecurity trust and legitimacy in traditional institutions and actors is weak and declining in efforts to achieve greater development effectiveness the international development cooperation sector is shifting towards new ways of working including increased localization decolonization greater coherence across the humanitariandevelopmentpeace nexus and adapting development practice to support deeper engagement with civil society actors however how these changes affect governance structures and processes within nonprofit nongovernmental and civil society organizations csos is not well understood with an estimated 37000 autonomous entities understanding how why and in what ways csos assemble governance structures and interact to ensure effective and appropriate governance of development programs is critically important to trust and legitimacy in this sector to date no research has systematically examined the relational and spatial dynamics of cso governance chains nor have comprehensive evaluation frameworks for such assemblages yet been developed using core geographical concepts of place space and scale drawing upon groundbreaking methodologies of assemblage thinking and critical realist evaluation combined with innovations in organizational theory through issue framing geoformations will provide radical new insights into the governance geographies of placebased development cooperation practices which can be used to radically redesign international development cooperation governance theory policy and practice
alpa kids elearning platform expansion to the polish market

alpa kids is an estonian educational technology startup that is developing elearning games for children aged 38 including provide a personalised learning experience with the help of machine learning and learning analytics alpa kids has created an aibased personalised learning path which will be available for every child alpa kids innovation is unique because of its learning algorithm distinguishable learning platform and research collaboration creating a positive impact with our work is the leading vision in our company developing our content and promoting innovation has a wide positive social impact which means that more teachers and parents can provide elearning content in their native language and personalised learning experiences to children for that reason we are planning to expand into the polish market and localise alpa kids games into polish so we could provide quality elearning opportunities in the polish language for kids aged 38 in addition to that we will implement an aibased learning path to provide personalised learning opportunities for kids and learning analytics for polish preschool teachers and parents during this 10 month project we will launch new alpa kids poland app scale in aibased learning path and reach the first 100 000 nonpaying users
skaldic poems and the conversion of norway

skaldic studies the history of the norwegian society during the period of conversion from pagansim to christian religion through the analysis of court poetry composed during the conversion period c 970s to 1028 during the reigns of hkon sigurarson 970s995 lfr tryggvason 9951000 the sons of hkon 10001016 and lfr haraldsson 10151028 this period is particularly interesting as it marked the end of the pagan viking period and the beginning of a christian society in norway a period characterized by profound religious social and cultural changes the novelty of the project lies in the fact that the history of this period has earlier been studied mainly through archaeological findings and literary texts such as the sagas but the court poetry has not been fully investigated by historians in analyzing the poetry scaldic applies a variety of methods from history philology archaeology and psychogenealogy and through this interdisciplinary approach scaldic has the potential to undiscover new elements of the conversion period in norway the scientific impact of the project lies thus in the fact that scaldic studies an unexplored facet of norwegian historyduring scaldic the experienced researcher er will largely benefit from his integration to the host institute university of bergen and from the experience of the supervisor prof kirsi salonen and prof emer else mundal he will receive training in old norse language and modern norwegian as well as medieval palaeography furthermore the er will gain experience in teaching project managment and publishing
highdimensional nonparametric bayesian causal inference

causal conclusions are at the center of research yet notoriously difficult to obtain many research studies report correlations only which in line with the maxim do not imply causation with correlations one can make predictions with causation one can intervene paradoxically causal inference can become harder when more data becomes available in the by now increasingly common highdimensional settings which are the focus of this proposal including all variables is impossible while including too few can severely bias results variable selection becomes necessary yet available methods are in short supplymy aim is to develop bayesian nonparametric methods and theory for highdimensional causal inference bayesian nonparametrics is eminently suited for variable selection in causal inference because it excels at both incorporating and describing uncertainty recent theoretical advances in particular in bernsteinvon mises theory and highdimensional nonparametric regression have now finally opened up causal inference to bayesian nonparametric approachesi will investigate highdimensional versions of the two most important causal frameworks based on unconfoundedness and directed acyclic graphs i will focus on novel aspects scarcely available in the literature including uncertainty quantification a broad range of data types and nonlinear relationshipsmy expertise in causal inference bayesian nonparametrics variable selection and survival analysis puts me in a unique position to work on this multifaceted challenge my dual track in theoretical and applied statistics enables me to identify the problems which have highest priority in practice and are mathematically interesting the novel methods with solid mathematical statistical foundation resulting from this proposal will tremendously expand the now limited settings in which trustworthy highdimensional causal inference is possible with applications in medicine economics and many other fields
epitb addressing an unmet need same day diagnosis of extrapulmonary tb in a high burden setting

better diagnostic approaches are required to improve tb control in africa which is suboptimal one neglected aspect of tb diagnosis is that of extrapulmonary tb eptb which comprises 15 of the tb caseload however in hivendemic settings over one third of cases are due to eptb the most common manifestation being pleural tb frontline same day sputumbased diagnostic tools such as genexpert perform poorly when using fluid derived from eptbspecific compartments eg pleural fluid indeed genexpert sensitivity in pleural tb is 35 ada the current standard of care used in clinical practice has poor specificity especially in pericardial tb and tbmeningitis see preliminary data by contrast unstimulated interferongamma not tcellbased igras that require overnight stimulation is an excellent biomarker for the diagnosis of eptb confirmed in 2 metaanalyses a south african university startup has now developed a lowcost sameday eptb diagnostic test irisatb which has been evaluated and published in several small clinical trials see main proposal and is lockedin for scaleup dissemination in 2022 the test is ce marked sahpra approved and endorsed by the global fund this proposal encompasses a large prospective multicentric study n 2170 patients of irisatb in various forms of eptb pleural pericardial and peritoneal tb and tb meningitis the proposed study epitb has excellent fidelity with the edctp call because it will enable the registration of a new health technology through pragmatic effectiveness studies enable uptake of results into clinical practice and facilitate who endorsement thus epitb will drive the facilitation and uptake of an important new tb diagnostic test in africa importantly an africaninvented and designed test will be promoted indeed innovation and the development of an african knowledgebased economy is a key priority of the edctp
edible metalorganic frameworks for food fortification

insufficient intake of iron is one of the most common micronutrient deficiencies with almost onethird of reproductiveaged women suffering from anaemia iron fortification of food products is an important route towards addressing this issue but it is a notoriously difficult problem as product quality is often strongly compromised while current strategies succeed in addressing some aspects of this challenge they are often inadequate from a holistic perspective resolving these issues will help address societal challenges related to iron deficiencies provide personalised nutrition and support the growing adoption of plantbased diets the objective of this research program is to explore the novel approach based on functional materials from metalorganic frameworks mofs derived from iron fe and edible plantderived organic molecules which can function as safe and bioaccessible bydesign colloidal delivery systems the approach will be based on selecting suitable organic ligands from the family of edible plantbased polyphenols and acids and use them in safe concentrations as febased mofs with ph triggered solubility ie reversal back to the mineral and organic ligand in the gastrointestinal tract to achieve this goal the following specific objectives will be met by developing new edible mofs both homogeneous and coreshell morphology from fe and plantderived polyphenols and acids and evaluating their reactivity eg oxidation discoloration and bioaccessibility in food products if successful this approach will enable the design of highquality mineralenriched plantbased food products the proposed research program will lead to an increase in highimpact research innovation output in the field of nutritious and functional food specifically addressing the issue of iron deficiency the expanded skill set of the fellow will improve his future employability and career prospects both in industrial and academic research areas
noblegas compounds meet xray charge density and highpressure research

this project aims to study noblegas compounds by xray chargedensity analysis and explore the structural behavior of selected noblegas species under highpressure in gpa range experimental electrondensity distribution of reactive fluorides is rarely studied and no experimental chargedensity analysis on noblegas compounds has been reported to this date moreover there is a genuine interest in noblegas chemistry under extreme conditions of high pressure however the vast majority of studies are computational predictions and experiment significantly lags behind the theory the project results would constitute the first xray charge density analysis on noblegas compounds this would provide new insights into the chemical bonding of noblegas compounds and nature of their intermolecular interactions moreover diamond anvil cell experiments would significantly advance our understanding of the hitherto unknown highpressure chemical and structural behavior of noblegas compounds an ambitious but challenging experimental chargedensity analysis of noblegas compound under high pressure in diamond anvil cell will also be undertaken special experimental methods and techniques will be employed for the synthesis and structural characterization of reactive and airsensitive noblegas compounds the twoway transfer of knowledge and skills therefore represents an important aspect of this project
highly efficient technologies for increased yields in steelmaking processes and reduced environmental impact

steelmaking is a key process for a climate neutral circular and digitized production on one hand it enables green technologies in providing the most relevant materials needed to achieve climate neutrality on the other hand it accounts for 7 of total world co2 emissions its transition towards a more sustainable and still competitive production requires to increase the use of scrap to minimize the pig iron usage from coal fired blast furnaces with inherent co2 emissions from reducing the iron ore furthermore scrap can be valorised by use of carbon carriers and containing alloying elements in steel scrap eg in recycling of mn steelshiyield aims to promote circular economy by progressively increasing the scrap uptake in three scenarios that represent the current european steelmaking routes with the ambition to deliver solutions with relevance to all steelmakers the consortium includes three producers with different portfolio main objectives areto maximise scrap quality by optimal technologies for removal of impurities and optimal use of alloying elementsto maximise scrap use by improved scrap identification and classification together with scrap tracking in circular economyto maximise product quality with further scrap uptake by charge optimization and ensuring the liquid steel analysis and thus the final steel product qualityhiyield contributes to the fight against climate change and to the eu steel industry competitiveness through the application of highly innovative methods and technologies to the steel sector such asdeep learning based computer vision for scrap identification and controldigital scrap information card for scrap trackinghigh speed sampling and analysis to avoid waiting times for steel analysis