Dragon09/odtu_chatbot huggingface dataset:
radicalization of gender and antidemocracy the case of incels in nordiceurope

on may 23 2014 in california elliot rodger aged 22 years and selfidentifying as a member of the incel community murdered six women and injured more than ten people by gunshot stabbing and vehicle ramming and also shared these acts on social media alek minassian a known member of the incel community committed a vehicleramming attack on april 23 2018 in toronto and killed ten people injuring more than 15 rodger and minassian shared the same motive revenge for sexual and social rejection by women incels are involuntary celibates a misogynist and antifeminist digitalbased community with radical tendencies who commit public shaming of women slutshaming or feminicide defined as misogynist violent extremism by many social scientists these attacks have not only been observed in the us and canada but also in europe the social media play a major role for the incel community helping them find allies or spread their views moreover incels digital culture is very influential in broadcasting antifeminist ideas in this regard incel communities create a visual culture in which feminicide and genderbased violence gbv are signified by heroic nationalist conservative symbols and discourses in relation to other misogynist extremist andor altright alternativeright mobilizations eg proud boys unite the right rally that take part in masculinist raising incels take less violent action nonetheless they are one of the most active communities conveying proviolence and exclusionary ideas by sacralizing hatred towards women and feminism on a daily basis our research incel norms and masculinities incelnorma sheds light on how the incels antifeminist and misogynist ideas are displayed via incel artefacts and aesthetics
new frontiers in projectionfree methods for continuous optimization

efficient algorithms for continuous and in particular convex optimization have revolutionized science and engineering in the past decades providing the engine that drives numerous key technical and computational practices used across almost every scientific and engineering discipline in particular it is one of the main pillars of the ongoing data science and ai revolution for many important large scale optimization problems that include constraints that are complex yet highlystructured the algorithmic weapon of choice are socalled projectionfree methods which are mostly based on the classical frankwolfe method despite vast interest and progress in recent years on scaling up projectionfree methods their optimization oracle complexity remains significantly inferior to their projectionbased counterparts this shortcoming prevails throughout almost every optimization paradigm of interest and is often the bottleneck in further scalingup this important family of optimization methods the overarching goal of this project is the foundational and systematic study of the landscape of continuous optimization with computationally efficient projectionfree optimization oracles my goal is to develop an understanding across a variety of central optimization paradigms of how far can we push methods that rely only on simple and efficient optimization steps towards matching the complexities of stateoftheart projectionbased methods that rely on computationallyexpensive optimization steps i envision that the novel algorithmic and methodological results that will come out of this research will lay the foundations to a new generation of far more advanced algorithms for continuous optimization with structured constraints these will allow to tackle on a practical scale a much richer variety of optimization settings and will be built to leverage in a more specialized finegrained manner favorable and plausible structure of optimization problems
matching genes with molecules for functional analysis

the magicmolfun doctorial network dn will train the next generation of specialists for transforming natural products research they will be educated in a combination of wetlab and computational skills to integrate genome mining and metabolomics with cuttingedge pathway discovery and engineering approaches there is a fastgrowing demand for these combination of skills but these are rarely taught in current integrated training programsthese multidisciplinary skills and qualifications will be acquired while achieving the scientific goals of the program namely understanding and developing the complex biosynthesis and production of microbial nps for crosssector applications such as medicine food agriculture or biotechnology specifically the doctoral candidates dcs will work in three areas i develop novel computational tools and algorithms to improve the identification and prediction quality of biosynthetic gene clusters encoding np biosynthesis in genomic data this genomecentred approach is complemented by ii the use cheminformatics approaches to link metabolomics data of nps with the genomic data of the producers which will greatly improve the compound discovery and dereplication process these two datacentric approaches will finally iii converge into experimental applications that discover and characterize novel nps with promising bioactivities eg antibiotics preprobiotics agrichemicals biopigmentsthe scientific training program is complemented by a comprehensive transferable skill training that will equip the dcs for todays demands of a successful career in industry and academia the skills obtained in the dn will enable the dcs to work not only in natural product research but also many other dataintensive areas of biotechnology
typical and atypical structures in quantum theory

quantum theory confirmed in numerous sophisticated experiments is widely believed to describe our world at the micro scale it is thus legitimate to investigate which structures are allowed by quantum theory and which of them can potentially be relevant for developments of quantum technologiesthe basic notion of a quantum state a mathematical tool used to compute probabilities characterizing the outcomes of a quantum measurement is of a primary importance furthermore one analyses quantum maps which describe how quantum states evolve in time and quantum supermaps representing evolution in the space of quantum maps assuming that the number of outcomes is finite all these sets form convex bodies embedded in a real space of a suitable dimension the case if the physical system is composed of several subsystems is of a special interest as one can analyse correlations and entanglement between subsystems main goal of this project is to investigate properties of typical quantum states maps and supermaps and to identify distinguished atypical structures with extreme properties useful for processing of quantum information we will search for new constructions of absolutely maximally entangled multipartite states which imply existence of quantum error correcting codes novel schemes of mutually unbiased bases and symmetric informationally complete generalized quantum measurements which offer optimal measurement accuracy moreover we plan to analyze quantum supermaps with distinguished properties and study how these structures behave under decoherence as quantum features become gradually suppressedto put all these structures of the same footing we are going to use generalizations of the choijamiokowski isomorphism which relates quantum maps with quantum states of the extended system and apply the theory of random matrices to elucidate differences between typical objects with generic features and the atypical ones with desired properties
exotic phases in ramancoupled quantum gases

the physical properties of materials are determined by the interactions of their constituents and the emerging band structure ultracold atoms have emerged as a powerful tool to simulate these quantum manybody processes in a highly controlled environment in this project i will explore exotic phases in bosonic mixtures of ultracold potassium by engineering the interplay of singleparticle dispersion relation and interactions via raman dressing my research will focus on two distinct scenarios the continuum and discretized chains in the continuum case i will focus on the celebrated supersolid stripe phase which simultaneously displays superfluidity and a spontaneous breaking of translational symmetry i will characterize the collective crystal modes of the phase a smoking gun for supersolidity as well as realize a novel quantum liquid with supersolid characteristics in the discretized case i will explore the effects of strong interactions in artificial gauge fields by realizing semisynthetic flux ladders a minimal instance of the hofstadter model this model is famous for capturing the fractional quantum hall effect but displays a myriad of strongly interacting yet experimentally scarcely explored phases the project will demonstrate the vast potential of ramancoupled systems by deepening our understanding of supersolids and providing new insights into strongly correlated systems in the presence of artificial gauge fields by using a common mechanism that gives rise to both supersolidity and artificial magnetic flux the project will at large reveal connections between these two important topics
symbiotic circular bioremediation systems and biotechnology solutions for improved environmental economic and social sustainability in pollution control

the overall goal of symbiorem is to improve the effectiveness sustainability circularity and costefficiency of bioremediation and revitalisation strategies for soils sediments surface water and groundwater symbiorem focuses on the intersection of advanced bioremediation methods with circular biobased systems twelve novel biobased technologies and strategies are developed as modular solutions to mutually enhance bioremediation efficiency use secondary inputs and turn residues and contaminants into valuable resources symbiorem investigates the exploitation potential of indigenous species with bioremediation capabilities including microorganisms microbiomes proteins plants and animalssymbiorem targets five archetypes of contaminated environments industrial brownfields mixed solid waste landfills urban surface water bodies with mixed contamination contaminated soils and surface water bodies and european marine environments symbiorem targets the four most common pollutants of soil and groundwater in europe heavy metals mineral oil polycyclic aromatic hydrocarbons pah and volatile aromatic hydrocarbons vah the project also targets mixed contamination eutrophication organic micropollutants and microplastic symbiorem recovers a diverse portfolio of resources from contaminated sites including several critical raw materials crm symbiorem will deliver new knowledge about bioremediation agents their functionality in combination as well as hazards of pollutant remobilisation symbiorem elaborates new avenues for circular value creation and empowers people on the ground by involving citizens and key stakeholders in participatory research codesign and comanagement of bioremediation sites to facilitate bottomup replication and increased safety and sustainability of bioremediation and revitalization strategies in aims to achieve the targets of the eu zero pollution action plan
horizon 2020 to innovation fund upscaling h2020 projects in the energy storage and hydrogen sectors to the innovation fund

the aim of this proposal is to promote and facilitate technologically financially and operationally mature projects from horizon 2020 to reach deployment phase by means of developing synergies with the ets innovation fundthe overall objective of h2if is to validate such connection could be effective between promising horizon funded ri results and innovation fund for hydrogen and energy storage projects this proof of concept will be made thanks to the scalingup and submission of 3 projects to the innovation fund instrument all of them having been selected due to their high climate neutrality potential their innovation degree while already being supported by horizon 2020
educational inequalities and generative ai a focus on language diversity

chatequity investigates the impact of generative ai genai on educational inequalities amid growing societal linguistic diversity the central hypothesis is that although multilingual genai can overcome linguistic barriers mere access to it is insufficient because competent use is essential moreover since genai language models are trained on and steered by human languagewhich reflects social class ethnic and gender differencesgenai might reproduce biases and educational disparities research on this is lacking due to underlying limitations in the prevailing concepts methods and data chatequity addresses these with three objectives1to introduce prompting literacy pil as a novel concept for competent humangenai interactions and develop a pioneering assessment instrument pilai for its measurement2to identify shifts from traditional digital divides to genai dividessocial disparities in genai access use and skills with innovative data from 3000 students and 700 teachers across 60 high schools3to evaluate the impact of genai use and pileducation on educational inequalities by examining their effects on teaching and learning with three refined rctschatequity enables researchers to move beyond merely observing the effects of genai toward understanding why and how genai affects life outcomes because pilai uniquely combines an authentic taskbased approach with scalability this tool marks a paradigm shift in the assessment of competencies that currently depends on selfreported measures the open data on genai divides establish the groundwork for research into the interplay of sociological pedagogical linguistic and technological factors finally by refining traditional binary rcts moving beyond simple comparisons between tech and nontech users we recenter education in educational technology research in essence chatequity aligns with unescos call to promote equity through genai capacitybuilding in education and research
systemic mobilisation for joint biodiversity and infrastructure

symbiosis is a pioneering interdisciplinary initiative in biodiversity aligning with the uns vision for responsible land use and the european green deal it will build a community of practice between transport infrastructure energy distribution and production and biodiversity while addressing the role of strategic planning in climate change and building resilient infrastructure the collaborative approach will accelerate action seamlessly integrating diverse stakeholders within the csa framework and the eurail master plan symbiosis offers a holistic approach integrating biodiversity consideration through the entire lifecycle of infrastructure projects introducing an impact assessment tool for linear infrastructure it promotes digitalisation contributing to a unified european biodiversity baseline through standardised data collection monitoring and mapping in transport and energy projects committed to naturebased solutions for climateresilient infrastructure symbiosis establishes a methodology contributing to the theory of change guiding decisions and facilitating information exchange for no net loss and net gain biodiversity objectives building on the momentum created in projects such as the eufunded bison project symbiosis envisions the coexistence of sustainable infrastructure with thriving biodiversity advocating for social economic and environmental wellbeing it provides guidance for regulatory changes in biodiversity standardisation globally acts as a cornerstone for sciencebased decisionmaking similar to the source platform and will contribute to a unified european biodiversity baseline including processes such as csrd and supply chain management symbiosis provides recommendations for biodiversityrelated research and innovation guiding decisionmakers and investors on pathways leading to a sustainable biodiverse future it showcases transformative change through crossdisciplinary efforts for harmonious coexistence
protecting modern opensource web applications

the modern way of creating websites relies on using opensource code and plugins that are used as preexisting building blocks this has made building websites much faster and cheaper it is the reason why this approach is now being used for creating everything from small personal blogs to large media outlets and web pages of fortune 500 companieshowever using opensource code introduces a major risk as the security of the website can be compromised with parts of code originating from a wide variety of different sources it is very complicated to check all this content and make sure the sites cannot be penetrated by hackersto solve this problem we have created a novel solution that combines the independent security researchers with our automated virtual patching technology this way we know about the security vulnerabilities first and can provide the most effective protection against opensource code vulnerabilities thus making the web safer for everybody
high performance and largescale electrodes for selective ion recovery

the growing global concern surrounding water scarcity spurs societal impact by ensuring accessible and affordable freshwater resources furthermore the increasing demand for highvalue nonrenewable resources like phosphate and lithium often found in waster or process water streams coupled with their dwindling availability requires robust strategies to establish secure supply chainselectrochemical deionization ecd stands out as a promising solution due to its ability to finetune selectivity for specific ions over the past two decades ecd has made remarkable progress driven by factors like membrane use surface functionalization innovative cell designs diverse electrochemical modes and a deeper grasp of theory and application novel electrode materials particularly intercalation materials as developed and studied in the erc consolidator project emotion have enhanced ionselectivity in ecdin passion the upscaling and electrode stability that follow from our scientific results obtained so far and our filed patent will be validated this will not only boost the desalination performance of ecd processes at larger scale but also enable employment of such processes for resource recovery in an effective and sustainable way two work packages have been defined one on the technical aspects and one on commercial activities the team will regularly meet with the strategic advisory board to be installed and engage with potential endusers and sponsors mainly via the vast networks of wetsus and our industrial mentora risk analysis has been made and riskmitigation measures are in place to boost the breakthrough innovation of combing desalination with salt recovery passion is set to achieve technology readiness levels trls 4 to 5 through validation culminating in the delivery of a market consultation report and initial commercialization plans these critical steps are essential in laying the groundwork for the development of a demonstrator
rna dynamics prediction with diffusion models

ribonucleic acids rnas are crucial polymers in biology rnas might be the key to understanding the origins of life and are extremely promising therapeutic tools just like proteins rnas numerous properties stem from their 3dimensional structure which itself arises from their nucleotide sequence however rna molecules are particularly dynamical making their structure noticeably difficult to study both experimentally and theoretically moreover rna dynamics are critical for biological functionrecently deep learning dl methods have revolutionised computational biophysics by mastering the task of protein native structure prediction from sequence comparable success can be hoped for rna but it is impaired by the less abundant data and the lack of direct transferability of current methods more importantly no attempt has been made at developing a dl approach to directly predict rna dynamicsin this proposal we aim to adapt the emergent framework of diffusion models to the task of oneshot sampling of rna conformational ensembles diffusion models constitute a new paradigm in generative machine learning ml that has attained astounding successes in conditional image generation audio graph and geometric shape synthesis our goal is to produce a neural networkbased software which given an arbitrary input sequence efficiently samples the 3d coordinates of rna conformations according to their equilibrium probabilities to do so we suggest an original approach combining 1 coarsegrained internal coordinates 2 a diffusionbased generative framework 3 an attentionbased architecture inspired by stateoftheart dl biomolecular approaches and 4 a mixed training procedure based on experimental fragments and molecular dynamics simulations our approach could be used as a replacement to extensive md simulations which are voracious both in human time and energy expense hence accelerating biophysical research and decreasing its carbon footprint
targeting er import and activation of viral glycoproteins towards broadspectrum antivirals

the vigilant consortium is dedicated to tackling the global threat posed by emerging viruses exemplified by the covid19 pandemic and the ebola epidemic in western africa these events have emphasized the profound impact of such viruses on human health and economic stability moreover anthropogenic factors notably climate change will result in an increase in the frequency of outbreaks caused by these viruses in the future to address this vulnerability the vigilant consortium pursues the development of antivirals with broadspectrum activity pioneering research conducted by the consortium has identified the inhibition of the sec61 channel and virusactivating host proteases as a promising strategy the consortiums efforts are centered on addressing priority diseases defined by the world health organization due to their epidemic potential and the lack of countermeasures thus the vigilant consortium aims to provide new insights into the protease dependence of emerging viruses including ebola virus marburg virus nipah virus zika virus and chikungunya virus furthermore vigilant will develop inhibitors of the virusactivating proteases furin and cathepsin bl that are safe and exert broad and potent antiviral activity in cell culture and animal models and are thus ready for clinical evaluation furthermore vigilant will devise inhibitors targeting sec61 and will determine breadth of antiviral activity and potential resistance mechanisms to achieve these ambitious goals vigilant has assembled an array of partners with unique resources and expertise these partners have demonstrated success in inhibitor development protease profiling protein structure determination and analysis of antivirals by leveraging their collective capabilities the vigilant consortium aims to provide important insights into er import and activation of viral glycoproteins and to bring about a quantum leap in pandemic preparedness the development of broadspectrum antiviral