Dragon09/odtu_chatbot huggingface dataset:
increasing metabolic engineering efficiency using a conditionally quiescent fission yeast mutant

the proposed project aims to solve a major challenge in metabolic engineering in microbial metabolic engineering platforms consumed nutrients are primarily invested into population growth instead of the production of chemicals of interest our team is studying a temperaturesensitive mutant of fission yeast schizosaccharomyces pombe which grows normally at 26c but enters quiescence at 36c while at the same time maintaining its metabolic activity such an engineering platform could represent the holy grail of the metabolic engineering field a chassis strain that can stop growing but keeps producing metabolites application of such pseudoquiescent strain would be useful to both industrial and academic players to develop this mutant into a new metabolic engineering chassis i will first design a molecular cloning toolkit to perform metabolic engineering in s pombe which will enable construction and expression of complex biosynthetic pathways second i will characterize the phenotype of the pseudoquiescent s pombe mutant using a multiomics approach i will generate knowledge about mrna protein metabolite and flux dynamics to delineate a genomescale metabolic model of the chassis under pseudoquiescence then i will assess the ability of the s pombe mutant to overproduce 3 different highvalue compounds kavain via phenylalanine theophylline via purine and artemisinin precursor via mevalonate finally i intend to reproduce the pseudoquiescent mutant phenotype in other commonly used yeast species saccharomyces cerevisiae and yarrowia lipolytica in the short term this research will deliver a new type of a metabolic engineering chassis for the production of complex chemicals to the metabolic engineering community in the long term it will contribute to the development of metabolic engineering as a competitive alternative of total synthesis of chemicals leading to greener and renewable chemical industry
unraveling mechanisms of drug resistance apobec3a as a genomic and posttranscriptional driver of treatment resistance in pancreatic cancer

pancreatic cancer is predicted to become the third leading cause of cancerrelated death in europe drug resistance to even the most effective anticancertargeted therapies constitutes a major contributor to poor prognosis in pancreatic ductal adenocarcinoma pdac kirsten rat sarcoma virus kras mutations are found in 90 of pdac being an important oncogenic driver although krastargeted therapies have the potential to transform the clinical management of pdac drastically only a subset of patients respond and resistance is frequent the extent to which genomic and posttranslational processes drive drug resistance remains largely unknown genomic analyses have identified the apobec family as a key driver of mutagenesis in cancer including pdac among family members apobec3a a3a is involved in genomic alteration and posttranscriptional rna editing both mechanisms causative for intratumoral heterogeneity ith and drug resistance my preliminary data reveal that a3a induces chromosomal instability and likely ith in addition i found that a3amediated rna editing is prevalent in human pdacs and a mouse model for a3a importantly i observed that a3a expression increases during krasg12d targeted therapy reduces sensitivity and facilitates clonal outgrowth and thus is likely to drive drug resistance in pdac the adrip study will utilize murine and human models for a3a to unravel for the first time whether a3a plays a dominant role in increasing ith in pdac aim1 second it will elucidate whether a3amediated genomic or posttranslational modifications aim2 drive preexisting and acquired kras inhibitor resistance applying a multiomics approach the adrip study aims to identify novel regulators of a3a that could serve as therapeutic targets aim3 importantly the adrip study may have direct clinical implications as the basis for future preclinicalclinical intervention trials that target a3a to prevent drug resistance in kras mutant cancers
green crimes and joint crime ventures laundering natural resources

the high value and scarcity of natural resources increasingly attracts criminal entrepreneurs operating in the legal economy the laundering of natural resources is a prime example where illegally obtained natural resources are converted into legal products consequently consumers buy products such as a gold wedding ring a hardwood floor or endangered species as legitimate on the international market and unknowingly become part of a trade with devastating environmental effects to facilitate laundering crime groups interact with corporations and state actors as joint crime ventures the proposed research aims to understand how and why joint crime ventures launder natural resources and what the environmental impact is contemporary developments in environmental crime networks signal the expansion of grey areas of business where the separation between conventional and nonconventional criminals is no longer appropriate for understanding and dealing with the increasing complexities of environmental crime therefore it is essential to develop an innovative approach to fill this theoretical and empirical gap by analysing coercive economic and political interactions between crime groups corporations and state actors this study will build a new line of research and reveal the causes incentives and environmental harms of laundering natural resources the environmental impact of laundering is illustrated by rapidly disappearing rainforests largescale pollution and the mass extinction of species yet laundering natural resources has been the subject of rather limited study this research introduces a novel combination of cluster analysis of environmental crime cases multisited field research and crime script analysis that ensures a unique mixedmethod perspective the insights will be crucial for scientists policymakers corporations ngos and law enforcement to develop inventive solutions to prevent and tackle the laundering of natural resources
innovation excellence in construction engineering novel 3d concrete printing technologies and sustainable mixtures

the exep3d project aims to expand skills transfer knowledge and raise the innovation capacity of ttks institute of civil engineering in the field of construction engineering with the aim to become a leading competence centre in estonia and europe more specifically in 3d concrete printing 3dcp and locally produced sustainable mixtures by linking the unique competencies of eindhoven university of technology and tu dresden the two leading universities in automation and 3d printing technologies for construction engineering and environmentally friendly mixtures the project has potential to innovate the construction engineering industry as a whole with a wider aim to fill in the gap within eu and raise the scientific and technological excellence of ttk as a representative of estonia a widening country exep3d proposes a combination of staff upskilling academiaindustry partnershipbuilding and applied research activities while consulting with academia and industry experts within 36 months the consortium will deliver 8 staff study visits 13 training seminars for staff and studentsresearchers a student competition 2 openaccess publications on the newly established research direction in costefficient 3d concrete printing formwork and locally produced mixtures technical descriptions and data sheets on the novel approach and annual events with the industry to introduce and further disseminate project results to name a few
modernist childhoods the figure of the child in womens fiction 18901950

the project will examine representations of children and childhood in womens fiction of the modernist period c 18901950 the concept of childhood became central to late nineteenth and early twentiethcentury british culture when the childfigure was used to explore important questions about identity and gender scientific investigations of children led to views of childhood as a developmental stage the role of which was to prepare the child to become a rational and autonomous adult characteristics associated with ideas of masculinity the project explores how female fiction writers of the period reshaped and rejected malecentred scientific definitions of childhood in order to reimagine the child making it a vehicle for feminist ideas and a propeller of new modes of representation the project will pursue an interdisciplinary approach drawing on expertise in literary studies childhood studies and feminist studies acquired and consolidated through ku leuvens research centres mdrn focusing on modernist culture and lch2 leuven centre for health humanities with a special focus on representations of age this expertise will primarily be developed by trainingthroughresearch under the supervision of elke dhoker an expert on womens fiction and modernist literature the main deliverables will be two journal articles a monograph proposal and an edited collection arising from an international symposium organised at ku leuven the research will also lead to the delivery of four conference papers and communication to nonacademic audiences through european researchers nights a public lecture a newspaper article and a workshop for high school students
single molecule nuclear magnetic resonance microscopy for complex spin systems

nanotechnology is emerging as a key area to address global challenges in health energy environment and information technologies however we are still investigating most nanomaterials with bulk techniques averaging over large samples instead of looking at one single nanostructure with true nanoscale sensors particularly nuclear magnetic resonance nmr as our workhorse for biochemical synthesis and medical imaging is inherently limited to bulk samples the most fundamental challenge to turn nmr from an ensemblemeasurement technique commercial nmrs typically have a sensitivity of billions of molecules into a nanocale technique remains unsolved in this project we will overcome this challenge by reaching single molecule sensitivity thus converting nmr into an imaging technique thanks to the exploitation of the unparalleled atomic resolution of the scanning probe microscopy spm technology this breakthrough will be based on resonant high frequency electromagnetic excitation and readout including important advances in ghz technology we will use the capabilities of the novel technology to demonstrate detection of single spin nmr and to test the limits of our understanding of nuclearelectron interactions probing the physics of molecular nanoobjects 1d carbon nanoribbons with delocalized coherent states and 2d atomicallythin magnetic materials this novel technology will not only open up new fundamental scientific insights but should also have a strong impact in the markets of nmr and spm in this context the project will be a keystone demonstrating the novel platform conceived as a versatile upgrade for commerciallyavailable spms that can routinely operate in various environments vacuum ambient liquid with a variety of molecules and materials
industry empowerment to multiphase fluid dynamics simulations using artificial intelligence and statistical methods on modern hardware architectures at scale

multiphase transsupercritical and nonnewtonian fluid flows with heat and mass transfer are critical in enhancing the performance of energy production propulsion and biomedical systems examples include hydraulic turbomachines ship propellers co2neutral efuels and emotor cooling systems particleladen flows in inhalers and focused ultrasounds for drug delivery what all these cases have in common is the high level of complexity which makes direct numerical simulations impossible stateoftheart les simulations rely on simplified assumptions but do not have yet the desired accuracy while often require enormously expensive cpu resources the aim of scale is to develop simulation methods and reducedorder models using physicsinformed and datadriven machine learning and optimisation methods for such flow processes these will be trained against groundtruth databases that will be generated for the first time using both dns and experimentally validated industryrelevant les and multifidelity rans simulations the new simulation tools will be applied for the first time to industrial problems and their ability to accelerate design times and improve accuracy will be jointly pursued and evaluated with the nonacademic partners of scale these are international corporations and market leaders in the aforementioned areas holistic training by experts from science and industry includes broad reviews on relevant scientific topics modern high performance computing architectures suitable for performing such simulations big data analytics as well as extensive support for mastering scientific tasks and transferring the knowledge acquired to industrial practice scale will also deliver soft skills training from a wellconnected cohort of leaders with the ability to communicate across disciplines and within the general public this coupling of research with industry makes scale a truly outstanding network for doctoral candidates to start their career
a holistic digital mine 40 ecosystem

in the context of industrialization informatization and sustainable development of the mining sector mineio solution will build a novel mining digital ecosystem and a systemic structure for the implementation of industry 40 in mining industrial environments mineio solution will embrace the whole mining value chain from resources exploration extraction and processing to waste management and post mining activity our fundamental concept is the provision of a manufacturing system architecture under cloud environment to be applied in the digital twin mining shop floor mineio envisions an innovative cloud services system and a novel mining ecosystem of sharing interconnection and open cooperation mineio will establish a unified data infrastructure and collaborative platform ecosystem to promote the openness and sharing of data and improve the cooperation environment between mining enterprises mineio aims the enhanced systematization of the basic processes of the mining industry that involve asset and process equipment optimization through embedded predictive analytics and optimization procedures based on completely datadriven processes and the integrated cybervirtual and cyberphysical systems automation and robotization of mining exploration and production processes sustainable mining and post mining management to meet the increasing social and environmental concerns mineio will enable a resource optimization and digital transformation framework embedding specific circular economy and lowimpact mining strategies energy innovations including the transition to autonomous electric vehicles will lead to socially conscious profit while creating a safer and cleaner environment for frontline workers including higher air quality for those working underground mineio ecosystem will be validated in different demonstration sites involving 4 operational mine facilities and 2 historic mine sites in 5 eu countries
oxytocindriven territorial mapping in the mammalian hippocampal formation

orienting in space recruits brain mechanisms well conserved across mammalian species within the entorhinalhippocampal network a core system of spatiallyselective cells supports spatial geometry computations yet when navigating familiar surroundings neural computations of space usually escape our attention instead we parse space into socially meaningful territories territorial boundaries are social in nature since they capture the location of utilities available to individuals tied to group hierarchy and affiliation how does our brain integrate geometry and territory we propose that this process is regulated by the oxytocin ot system acting on the entorhinalhippocampal regions ot a hypothalamic neuropeptide known for its prosocial effects in mammals modulates neural activity in the hippocampal formation but its potential role in territorial representations has not yet been studied here experts in complementary fields social behaviors spatial navigation neurophysiology anatomy and cell signaling will study brain similarities and differences of socioterritorial strategies in five mammalian species bats mice rats marmosets and macaques our central goal is to investigate how neurons coding for space eg place cells boundary cells grid cells respond to perceived sociospatial parameters of ownership utility and social hierarchies we expect spatial cells to be sensitive to territorial manipulations ownership proximity intrusion regulated by ot in a contextdependent manner ot inhibition may enhance territorial defense when territories are challenged eg conspecific approaches or transgresses borders and may sharpen territorial boundary representations conversely ot stimulation could blur the boundaries of territorial perception our crossspecies perspective will be the first to provide information on possible speciesspecific vs shared neural mechanisms for territorial maps and otinduced hippocampal plasticity
dignity for irregular migrants in eu farm2fork labour markets

dignityfirm contributes to improving conditions of irregular migrants im working in farm to fork f2f labour markets in four eu member states it nl pl sp and two associated countries mo ua to derive structural recommendations for improvements we analyze regulatory infrastructures that govern these conditions distinguishing five influential spheres of stakeholders at the eu national and local levels and at the level of employers and im themselves the focus on im in f2f labour markets is timely given the instrumental role of these industries in securing eu livelihoods the high systemic dependency on im that coincides with persistent group vulnerabilities by providing knowledge and innovative tools to improve regulatory infrastructures this project enhances ims access to basic rights and services and improves their precarious working conditions doing so we contribute to systemic resilience of f2f industries and the eus ambitions for social and economic transformation our project adopts a mixedmethod research approach that includes a special focus on the division of labour in f2f markets with respect to gender ethnicity socioeconomic status health and safety doing so we provide new knowledge on 1 the multidimensional regulatory infrastructure and the conditions of im therein 2 their access to basic rights and social services and 3 employer reliance on ims we build on our analysis of the current situation and work towards innovative solutions by developing dignity tools in cocreation with stakeholders across the five stakeholder spheres we propose group sensitive policy measures at eu national and local level across four policy domains migration management eu pillar social rights labour market sustainability and corporate social responsibility doing so we create a pathway for impact towards upholding ims access to rights and services and simultaneously addressing labour market needs and wellbeing of host communities
what to expect of expec is the success of extraintestinal pathogenic e coli linked to specific genomic and cellular properties

extraintestinal pathogenic e coli expec are one of the greatest challenges for the healthcare system with a frightening prognosis for the future despite being heavily studied in recent years no unifying principle explaining their success has been identified only limited attention has been paid to the additional genomic properties of expec strains that are not virulence factors or antimicrobial resistance genes i aim to demonstrate that these additional genomic features lead to alterations in cellular features related to physiology growth ability and metabolism that contribute to expec pathogenic success to do so i will first setup a database of expec specific regions and use this to perform an unbiased largescale screen comparing them to publicly available e coli genomes this analysis will yield specific genomic regions that can be confidently assigned to expec or expec subgroups to further demonstrate the biological significance of these regions highthroughput singlecell phenomics will be employed to quantitatively examine specific strains of interest across different growth conditions and identify the genes or groups of genes present in the expec specific regions associated with specific phenotypic alterations finally the identified genomic regions will be further characterized using a deep mutational scanning approach to uncover the exact molecular mechanisms that underlie phenotypic alterations of pathogenic strains in comparison to their nonpathogenic counterparts i expect this project to bring muchneeded insights into expec physiology linking it with its specific genomic background such fundamental knowledge will contribute to managing expec more effectively in the future
devising a personalized risk stratification and holistic management for prevention of cognitive impairment in patients with different cardiovascular phenotypes

dorian gray project investigates the link between cardiovascular disease cvd and mild cognitive impairment mci in the ageing population its goal is to uncover underlying mechanisms to promote healthy independent and active living while reducing disease burden aligned with horizon europes strategic plan on ncds prevention the project focuses on two core objectives designing a multidomain intervention to delay cvdrelated mci progression and developing digital solutions to enhance its adherenceby leveraging large datasets that include omics brain imaging lifestyle behaviors and socioeconomic data the project aims to develop a trustworthy ai tool for predicting mci the ai tool will be upgraded into a stateoftheart framework for modelling and simulation digital twin integrating realworld data collected in clinical studies from smartwatches and mobile devices including these digital biomarkers enable the early detection of disease and enhance precision in healthcarethe digital twin will inform and update a personalized multidomain intervention using a novel avatarbased coaching exergame which will serve dual purposes as a cognitive enhancement tool with structured physicalcognitive tasks and as a lifestyle intervention promoting positive behaviours experienced in the virtual environment feasibility will be tested in a pilot randomized controlled trials involving patients with mci and heart failure and in an implementation study with patients having mci and cardiovascular risk factorsto achieve his aim dorian gray brings together a diverse team of experts including clinicians psychologists sports scientists computers engineers ai specialists stakeholders entrepreneurs and academics in ethics law and theoretical philosophy patients and citizens actively engage in shaping and guiding project decisions dorian gray is projected to prevent up to 2 million dementia cases over 27 years leading to a cost reduction of 485 billion