Dragon09/odtu_chatbot huggingface dataset:
integervalued matrix autoregressive score models

policymakers and governmental institutions rely every day on data to make important decisions that impact citizens quality of life for instance the availability of large amounts of time series data observed in many dimensions and levels of granularity requires the development of new techniques to model and draw conclusions from such complex systems multivariate time series data structures typically deal with time series and crosssectional dimensions nowadays much more complex data structures have appeared requiring mathematical objects defined in higher dimensions and beyond continuousvalued measurements eg time series of counts related to several types of crimes occurring in different cities the final object is a threedimensional data set of counts called a discrete tensor this research proposal introduces new empirical econometric models to describe and study such discrete tensor data although in social sciences many tensor data possess a discrete structure the statistical theory for discrete tensors is still under development these specific data cannot be accommodated by existing tensor models which are specifically tailored for continuous variables and are typically described by simple linear patterns the goal of the project is to fill the existing gap in the literature by developing new models for discretevalued tensor data that possess flexible crosssectional and serial dependence structures to this aim we combine a multivariate copula framework for count data and nonlinear scoredriven models with the existing tensor literature as a result we obtain a new model class called integervalued matrix autoregressive score model imars we then successfully apply these new models to relevant empirical problems in key areas of interest to policymakers like crime data allowing to understand the distribution of different types of crimes across geographical areas forecast their incidence and study spillover effects over a spacetime grid
universal frequencycomb platform for datacenter communications

by 2028 it is expected that overall datacom capacity will reach 100000 petabits corresponding to 1 billion 100gbps equivalent serdes shipments and several hundred million oband cw laser wavelength lines 2550100 gbaud pam4pam8 comb lasers are an ideal technology platform for compact wdm solutions with the high throughput required by growing needs of the datacom industry currently two compact comblaser technologies stand out as promising platforms for datacom light sources inasgaas quantumdot based comb lasers and microresonatorbased kerr combs the project facilitated by the fundamental complementarity of both technologies will strive towards their unification in one versatile chipscale comb platform covering full range of wdm spacings ultradense to coarse and addressing key challenges of the datacenter market power efficiency harsh operating environment 85c and scalability the competitive advantage is based on current worldleading technologies of qd comb lasers and microcombs being commercialized by the partners the results of the originating h2020 caladan and phoenics projects as well as the novel features such as chirpeddbr comb laser comb soa and evanescent coupling to sip the goals of the project i to develop a novel design and technological process of cw comb laser pic fabrication with enhanced mode stability and ultralow noise ii to develop 2 prototypes of gaassinonsip comb pic including 13m comb laser evanescent coupling to sip substrate and combsoa 1 qd chirped dbr comb for udwdmdwdm and 2 microcomb for dwdmcwdm the consortium consists of innolume world market leader in inasgaas qd dublin city university highspeed communications and enlightra associated partner startup established in 2021 worlds first commercial optical comb with large frequency spacing 1001000 ghz this consortium combines scientific expertise with experience in translating ideas into products and scaling them
rational design of acat single enzyme nanogels for hepatic fibrosis treatmentnanoacatre

hepatic fibrosis is a dynamic process characterized by the progressive replacement of functional liver tissue by an extracellular matrix rich in highly crosslinked collagen with hepatic stellate cells being the main actors of this process nanoacatre intended for the treatment for hepatic fibrosis based on augmenting intracellular acylcoacholesterol acyltransferase acat in hepatic stellate cells brings together a talented researcher dr andoni rodriguezabetxuko with a background in nanomaterials and biocatalysis and inanoaarhus university an innovative and multidisciplinary research institute at the forefront of nanohybridbased biomedical solutions for liver disease nanoacatre will focus on advancing the scientific career of dr rodriguezabetxuko through the development of new single enzyme nanogels sens for the successful management of cholesterol homeostasis in activated hepatic stellate cells to prevent or reconvert their activation and prevent associated complications such as hepatocellular carcinoma under the supervision of prof brigitte stdler a globally recognized researcher on the field of bottomup synthetic biology nanoacatre will proceed in a stepwise fashion using cuttingedge methodologies to prepare and physiochemically characterize acatsens the effect of the acatsen surface physicochemical properties will be evaluated on the acat delivery in a rat hepatic stellate cell line the interdisciplinary work integrating expertise in polymeric nanogels and protein delivery will be necessary to achieve nanoacatres main goal and the cell mimicry lab led by prof stadler is the ideal place to turn this into reality nanoacatre is designed to broaden the scientific knowledge and transferable skills of dr rodriguezabetxuko in addition nanoacatre will expand his professional network on the way to eventually becoming an independent group leader in the field of nanomedicine
cofutures literacy

people around the world imagine futures differently these imaginations of the future are most clearly found in the fictions they produce future fictions or speculative fiction sf sf acts as a repository of ideas related to societal change technological change climate change and other kinds of change how do we take these different imaginations and use them to drive societal innovations how do we work with the complexity of visions around the world not merely in its richer parts but in its poorer or developing parts to think new kinds of futures economic cultural political and how do we scale and translate these visions for use in policy and policyadjacent contexts how can they inspire new social and technological developments while the need for these fictions to drive innovation is by now wellknown at research and policy level the core problem is that there have been no methodologies no tools and no frameworks that acknowledge the deep complexity of global creative imaginaries of the future and feed them directly into new ways of thinking about societal challenges in the poccofutures literacy we will take peoples imaginations of the future especially as found in sf and systematize the methods used by creative professionals globally to imagine futures these creative methods will be combined with methods used in innovations scenario and policy work to understand anticipate and generate futures together this will form the knowledge solution we term cofutures literacy the poc will develop this knowledge solution by taking some of the central ideas from diverse imaginations of the future worldwide from sf research done by the ercstg cofutures 20202024 combine these with existing models of futures and innovation research and crystallize these functions into three modules of the knowledge solution a a comparative methodological toolkit b a research and design handbook and c an open media and lecture library
visions of economic citizenship in early welfare state france networks ideas and european interwar legacies

focusing on the intellectual history of the early welfare state ecocit examines three discourses of economic governance of the early french third republic solidarisme social catholicism and revolutionary syndicalism my innovative research hypothesis is that these traditions emerged from a same late 19th century context marked by rising tensions between an expanding industrial capitalism and the consolidation of mass democracy representing alternative answers to the same set of questions these discourses not only interacted with each other but also set the key terms of the later interwar debate on the compatibility between parliamentarism and economicbased forms of citizenship two research objectives follow examining previously neglected interactions between these discourses and second mapping the debate in terms of their vision of the relation between welfarism democracy and the state so as to better trace their interwar legacies methodologically i integrate the traditional tools of intellectual history with quantitative methods borrowed from sociology social network analysis essential for exploring interactions and a morphological approach developed in the field of ideology studies important for mapping the welfare debate complementing my previous work on sorelian syndicalism the project contributes to a wider research agenda that investigates how late 19th century discourses of economic governance shaped the much more wellknown ideological clashes over liberal democracy in the interwar years a book proposal on this wider theme is among the projects deliverables besides rejuvenating the historiographies of the three discourses which fail to address the question of interactions and granting me competence in new research methods the project allows me to begin tackling a question that is relevant both to welfare state studies and to the history of political thought allowing me to develop my work towards greater interdisciplinarity
transport of reaction intermediates in the stepwise assembly of fatty acids

fatty acids are essential metabolites used in biological cell wall formation energy storage and signal transduction fatty acid synthesis is carried out in an iterative sequence of reactions conserved across all species yet different organisms have developed different solutions the most impressive is the fungal fatty acid synthase fas the 26 mda molecular complex integrates all enzymatic functions required for the stepwise assembly of fatty acids its architecture is reminiscent of a chemical nanofactory the enzymatic domains face the lumen of the barrelshaped complex where nascent fatty acids are transferred between active sites by an integral acyl carrier protein acp the function of the fungal fas has long been in focus of research not only due to its elaborate architecture but also because it is ideally suited as a platform for synthetic biology fatty acid derivatives are ideal precursors to produce biofuels or fine chemicals and fungi are well adapted for industrial applicationsadvances in experimental structural biology have established a framework for the progression of the synthesis cycle however the driving element is the transport of reaction intermediates by the acp which is inherently dynamics thus structures alone are insufficient for a mechanistic understanding of the fungal fas function trisafa aims to close this knowledge gap by integrating advances in structural biology with molecular dynamics simulations to resolve the pace and regulation of the transport process in atomistic detail this approach will address three hitherto unanswered questions first how are the transport dynamics coupled to the conformational dynamics of the fas second how is the pace of the transport regulated and finally what factors determine termination of the fatty acid synthesis cycle ultimately this project will yield a complete model for the progression of fatty acid synthesis pivotal to their exploitation for biotechnological applications
exploiting nanopore sequencing to discover what microbes eat

micmicrobial communities play a vital role in most processes in the biosphere and are essential for solving present and future environmental challenges examples include the impact of the human microbiome on health and disease the discovery of new antibiotics and turning waste products into valuables in the past 10 years new dna sequencingbased methods have revolutionized our access to the genomes of microbial communities and have sparked an explosion of new fundamental discoveries based on genomic evidencehowever despite the fundamental discoveries enabled by new methods in the past decade we are far from having a meaningful genomic representation of the tree of life and we are even further away from understanding how microbes realize their genomic potential in complex environments this is underlined by the fact that the current microbial genome databases contain genomic information on 47894 prokaryotic species while the most conservative analysis estimates millions of different species in naturethe nanoeat project will enable the next generation of largescale studies in microbial communities to answer the fundamental questions of who is there and what do they eat in nature most microbes modify their dna in highly specific combinations either as a defense system against viruses or to regulate activity in nanoeat we will exploit this feature using the raw nanopore sequencing signal that in principle enables discovery of any type of modified dna by developing new machine learning frameworks that can identify these speciesspecific modification patterns we can utilize this novel feature to supercharge recovery of individual microbial genomes from complex communities furthermore by supplying synthetic nucleotides that can be detected by nanopore sequencing we hypothesize that it is possible to estimate how microbes grow by using the incorporation rate of these synthetic nucleotides to estimate replication in complex communities at scale
selective electrochemical separation and recovery of lithium and other metals using tailored monolith electrodes

the world is awakening to alarming environmental costs and geopolitical consequences of the ongoing digital and green revolution which are replacing our reliance on fossil fuels with the one on critical raw materials crms governments are anxiously searching for alternative sources of supply and the importance of technology leadership in the recovery of crms and other valuable elements from secondary sources is evident electromonolith project will develop a new technology for selective recovery of lithium and other valuable metals eg cobalt nickel copper from complex waste streams and naturalanthropogenic brines such as battery recycling wastewater ewaste leachate and geothermal brines longstanding challenges of electrochemically switched ion exchange poor material stability low recovery rates and capacities insufficient selectivity and high energy costs will be overcome by developing monolith electrodes with mass transferenhancing structure tailored for highly selective capture of specific metals from multicomponent solutions using surfaceimprinted ionselective recognition units highly ordered electrode architectures with accessible active sites for metal ion cycling will endow the monolith electrodes with high spacetime yields minimize the pressure drop and thus hydraulic energy requirements and enable the production of large volumes of high purity crm concentrates in a more energyefficient way given the inherent modularity of electrochemical systems their scalability autonomous operation and easy coupling to renewable energy sources as well as the possibility to integrate electroextraction of target metals with electrooxidation of organic pollutants electromonolith project has the potential to provide a platform technology for both resource recovery and wastewater treatment and to respond to major challenges of the waterenergy nexus
sustainable manufacture systems towards novel biobased materials

greenloop addresses novel biobased materials solutions tackling the problem from a circularbusiness thinking perspective which will enable overcoming the barrier for new manufacture tools energy efficiency improvements and sustainable value chains the main goal of greenloop is to design and optimise 3 innovative biobased materials and components for industrial sectors construction packaging food beverage appliances and tooling 1 multifunctional panels rubber panels with fire resistance and vibrational applications 2 bioplastic bottle closures for oil and fruit juice 3 wood composites bearings for plastic injection machines the value chain of each product is optimised from raw material source to end of life of products ensuring the circular economy all manufacturing lines are retrofitted to adapt to the new enhanced bio compoundings using artificial intelligence ultrasound improvement is included in the lignin production and rubber manufacture and microwaves improve preheating of bioplastic on injection moulding and curing of wood composites the whole process is monitored and presented in a virtual platform that includes kpi evaluation business optimization in realtime training webinars and social engagement
novel recuperation system to maximize exergy from anergy for fuel cell powered geared electric aircraft propulsion system

to achieve climate neutrality in aviation by 2050 hydrogen powered aircraft propulsion can be key for this several challenges need to be tackled such as thermal management and heat rejection of fuel cells in the aircraft for each watt of electricity produced by a fuel cell one watt of waste heat is generated recuperating it to further use would be indeed an asset the exfan project will target such innovation by including a ducted heat exchanger in the nacelle of the propulsion system it will use the ram jet effect called also meredith effect me to generate thrust from waste heat the design of a lightweight heat exchanger and the recovery of waste heat using the me are promising topics further investigated in detail here the exfan system will be included in a geared electric fan propulsion system of megawatt class powered by hydrogen fuel cell technology the heat exchanger will be a bionic design duly surface finished to hinder particle accumulation corrosion and erosion additionally novel thermal management system will be designed to optimize the heat quality of the waste heat and control the heat flux of the propulsion system optimal operation conditions will also be investigated a simulation model will be set up for operation parameter optimization first functional lab scale tests of exfan will serve to verify such model the breakthrough innovations proposed in exfan will i allow european aircraft producers to offer savings in cost operation ii enable european aeronautics industry to maintain global competitiveness and leadership and iii create significant contribution in the path towards co2 and nox emission free aircrafts exfan brings together multidisciplinary experts from academia aeronautical associations and industry supported by a selected technical advisory board exfan will be in close contact with clean aviation and clean hydrogen to create synergies and speed up the development
era chair space heyrovsky chair of space science

the era chair initiative aims to enhance the integration of the j heyrovsky institute of the academy of sciences into the european research landscape despite the institutes recognized excellence in many areas of physical chemistry research within europe international peer reviews during the past 5 the era chair initiative aims to enhance the integration of the j heyrovsky institute of the academy of sciences into the european research landscape despite the institutes recognized excellence in many areas of physical chemistry research within europe international peer reviews during the past 5 years identified untapped potential in the area of mass spectrometry technology development and astrochemistry and identified weaknesses in key era priority areas to strengthen its international presence and performance the institutes directors have proposed structural changes emphasizing better utilization of research resources and personnel increased engagement with international activities and securing prestigious eu funding including erc grants the institute seeks to strengthen its role as a research leader in the czech republic by participating in european networks and coordinating international projects supported by proactive human resource policies and staff internationalization efforts the leadership of a new era chair holder in the department of space chemistry and technology and the creation of a permanent and excellent research group in the chosen scientific field will ensure excellence visibility and better integration in the european research area as well as fostering competitiveness in research funding and promoting institutional reforms aligned with era priorities these initiatives backed by significant political and financial support from management alongside collaborative projects are intended to foster greater openness international collaboration and ultimately enhance the scientific performance and appeal of the j heyrovsky institute
dynamic selection and configuration of blackbox optimization algorithms

blackbox optimization algorithms are among the most widely applied optimization techniques in practice used to solve numerous problems across a broad range of industrial branches and academic disciplines every day given this importance it is not surprising that a plethora of different blackbox optimization algorithms exist complementing each other in strengths and weaknesses in the dynabbo project we set out to obtain more efficient blackbox optimization techniques by leveraging this complementarity both with respect to different problem instances and with respect to different stages of the optimization process to this end we will develop approaches that select and dynamically switch between different blackbox optimization algorithms on the fly the two key research questions that guide our project are 1 when to switch from one algorithm to another and 2 how to warmstart the selected solver so that it can continue the search as effectively as possible both questions are largely underexplored and are handled rather naively in practice to obtain our dynamic approaches we intertwine insights about blackbox optimization algorithms obtained through rigorous theoretical analyses with automated machine learning techniques in particular we will design trajectorybased algorithm selection and configuration techniques that combine exploratory landscape analysis with newly designed algorithm features that capture information about the solverinstance interaction we compare the efficiency of these featurebased approaches with deep learning techniques reinforcement learning and approaches based on hyperparameter optimization we will further increase our projects impact by validating its results on applications in biomedicine and in computational mechanics