Dragon09/odtu_chatbot huggingface dataset:
female prophecy in early modern european religion

this project is the first attempt to create a theoretical account of female prophecy in sixteenth century italy spain and england as a key to understanding crucial political concepts such as authority discipline spirituality agency and expectation it identifies sixteenthcentury italian living saints and humanists spanish beatas and conversas and english visionaries as privileged actors of prophetic charisma and challenges assumptions that prophecy responds just to national or local interests and debates a transnational approach is needed to demonstrate the close parallels and exchanges in italy england and spain in this era of extensive religious mobility without neglecting the differences this project explores the circulation of female prophecy in italy england and spain before the universal church was completely divided the analysis will concentrate on a corpus of women prophets ie the texts written by women prophets and their male counterparts confessors hagiographers and devotees as well as by secular women such as humanists in order to identify interconnections and models of female prophecy in early modern religion this corpus includes sermons visions spiritual letters and poems hagiographies and inquisitorial trials the projects supervision by unn falkeid historian of ideas at the university of oslo and by nicholas terpstra socialcultural historian at the university of toronto as well as the excellent research environment of the host institutions will ensure the projects success the university of oslo hosts a growing research team on renaissance and early modern women and religion and so is the most fitting environment to carry out my project during the return phase the university of toronto outgoing phase is the perfect place in which to acquire new methodologies and archival sources thanks to terpstras expertise to its digital humanities structures and its centers for the study of the renaissance and reformation
dirac photonic metamaterial for quantum light sources

technology in photonic quantum information processing and quantum computing is advancing rapidly requiring more efficient and precise control of the generation of quantum states of light over the past decade semiconductor quantum dots qds have emerged as nearperfect photon sources with unprecedented photon emission rates compared to other technologies however two key factors photon indistinguishability and extraction efficiency are critical for practical applications such as multiphoton interferometric experiments quantum computing and boson sampling achieving both high photon indistinguishability and extraction efficiency from any quantum light source is challenging due to inherent tradeoffs between precise control of photon properties and efficient collection as well as technical and material limitations various photonic structures such as cavities and metamaterials have been used to improve the extraction efficiency of the emitters but they often introduce complexities that adversely affect photon indistinguishability imperfections such as etched surfaces around qds can lead to unwanted effects like an unstable charge environment due to exposed crystal bonds and surface interactions ultimately degrading photon indistinguishability to address these issues and improve performance a promising alternative approach is to integrate quantum dots with dirac photonic metamaterials within these metamaterials topological states can emerge as protected edge states which are known to be resilient to disorder and imperfections furthermore dirac photonic metamaterials lead to enhanced lightmatter interactions allowing a dramatic increase in spontaneous emission and the manipulation of chiral photon modes the overall aim of this project is to combine quantum dots ingaas with dirac photonic metamaterials to achieve specific goals including high photon indistinguishability efficient photon extraction and tailored singlephoton emission
building blocks for iodine thruster

in the last decade smallsats mass 500 kg disrupted the space market since they allow to access space at a markedly lower cost with respect to mediumtolarge systems and this trend is expected to further grow in the next years solid iodine propellant has proven to be an enabling technology to consolidate electric propulsion ep in the smallsat market nonetheless its widespread diffusion is still hindered by issues related to the low maturity of this technology in order to establish the groundwork for a future standardization and industrialization of iodinebased ep a modular approach will be pursued in the frame of the boost project different ep building blocks suitable for different types of thrusters grid ion thruster git hall effect thruster het will be developed and assembled reaching trl 56 a neutralizer based on an optimized rf cathode will be designed such as to be compatible with iodine propellant a fluidic subsystem conceived for iodine propellant will be upgraded and adapted to the system moreover a tank will be developed in optic of onorbit servicing in particular a smart recharging system will be conceived with cartridges of solid propellant that can be stored into the tank during thruster operations when the cartridge is completely exhausted it shall be extracted and substituted with a new one by a servicing spacecraft once every subsystem is completed and preliminary tested the overall system shall be integrated for the final verifications the outcomes of the boost project shall not only contribute to paving the way to a future standardization and industrialization of several electric propulsion building blocks but will also lead to a stronger space capacity in europe making it more attracting to the international stakeholders
quantum lightcontrolled topological phases of matter

using quantum light to control material properties is an emergent field of research that is sparked by the recent experimental advances in controlling chemical reactions enhancing transport in semiconductors or even inducing superconductivity in polymers inducing topological phases of matter with light is particularly interesting research direction due to their robustness and their possible application in quantum technologies this theoretical proposal will focus specifically on using quantum nature of light to probe control and engineer topological phases of matter arising in solidstate materials coupled to cavity photons i will study semiconductorsuperconductor heterostructures which have been under intense experimental scrutiny recently in the context of topological superconductivity coupled to cavity photons with the aim of distinguishing trivial from topological zeroenergy bound states arising in such setups cavity response will be also investigated as a tool for probing corner states in secondorder topological superconductors this proposal will explore how to control topological phase transitions in various topological materials including semiconductorsuperconductor heterostructures strongly coupled to light and also focus on topological characterization of the hybrid polaritonic lightmatter excitations arising in such systems the overarching goal of this project is to propose a protocol for engineering topological states in initially trivial electronic materials with quantum light the implementation of this proposal requires a study of various coupling regimes between a solidstate material and quantum light and is based on my experience in mesoscopic physics and circuit quantum electrodynamics moreover design of new topological systems will help to move forward the field of quantum technologies
effective delivery of nucleic acid therapeutics via designed nanocarriers

delivery of nucleic acid therapeutics to desired organs has become the current challenge of biotechnological applications advancements on the chemical synthesis or targeting ligands formulation of complex lipid systems and their bioassays are essential to establish new gene therapies therefore the main aim of natprime dn is to establish a multidisciplinary training network on the emerging topic of nanoparticlebased adjuvants to deliver nucleic acid therapeutics nat in the last decade great efforts have been spent on the development of synthetic strategies for the creation of rna based therapiesvaccines and these efforts have been acknowledged by the nobel committee in 2023 the next important step is targeted delivery which is to carry nats to the desired tissue for this purpose various nanoassemblies ie lipid nanoparticles polyplexes liposomes that are modified with targeting ligands will be utilised to encapsulate nats antibodies peptides glycans and glycopolymers open up greater possibilities in the precise targeting of nanoparticles to desired organstissuescells the combined molecular toolbox of targeting ligands charged lipids helper lipids and pegreplacement lipids need a highthroughput formulationscreening to ensure increased uptake of such particles in the desired organs 15 interdisciplinary researchers will be trained on the design synthesis and characterisation of such complex targeting ligands their formulation in nanoparticles and their utilisation in the nucleic acid based treatments last but not least biophysical understanding of molecular interactions of formulation components will bridge the gap between fundamental and applied research while broadening the horizon of esrs from an academic lab to good manufacturing practice gmp synthesis facilities that can positively impact the wellbeing of future generations
tracing dynamical evolution of dark matter via machine learning

we plan to answer two pivotal questions of modern astrophysics the nature of dark matter and its interaction with baryonic processes utilizing galaxy observations and cosmological hydrodynamical galaxy simulations across a redshift range of z 0325 we will examine 310 gyr of cosmic history we propose to trace the dynamical evolution of dark matter via machine learning tradedml that pioneers an advanced methodology for assessing the dynamical masses of galaxies aiming for unprecedented precision in the quantification of both baryonic and dark matter components unlike conventional velocity profile studies tradedml eliminates assumptions of symmetry and dynamical equilibrium substantially reducing uncertainties in dark matter estimates our project aims to exploit existing and future survey data preparing for expansive telescopic projects like elt and ska simple in concept but revolutionary in application the machine learning techniques used in tradedml are poised for transformative advances in dark matter studies particularly in determining its central density slope by synergistically integrating knowledge from observational astronomy theoretical physics machine learning and statistics tradedml aims to make significant strides in unraveling the elusive nature of dark matter as an expert in observational data analysis with privileged access to leading galaxy surveys like magpi and mightee i possess the skills to efficiently extract and analyse pertinent data the host dr benoit famaey excels in galaxy dynamics and alternative dark matter theories supported by a team versed in cosmological simulations and machine learning experts at the interdisciplinary institute irmia we form a unique research synergy utilizing advanced machine learning frameworks and leveraging expansive survey data tradedml is wellpositioned for immediate execution
lowcoordinate bimetallics for the catalytic activation of carbon dioxide nitrous oxide and ammonia

the catalytic conversion of carbon dioxide nitrous oxide and ammonia poses a major challenge in modern chemistry due to the high inertness of their strong chemical bonds these gaseous molecules are abundant and cheap therefore their use as c1 o1 and n1 building blocks in synthetic chemistry entails remarkable environmental and economic advantages nonetheless there are yet many limitations to meet their true synthetic potential and industrial applicability which clearly demands innovative catalytic solutionsin bimetalgas i will develop two unique families of tailormade heterobimetallic complexes specifically designed for the catalytic activation of carbon dioxide nitrous oxide and ammoniathe two types of cooperative bimetallic catalysts are i highly polarized bimetallic complexes and ii transition metalheavier tetrylene ge sn compounds the high polarization of the former and the distinct and flexible bonding of the latter will enable the activation and cleavage of the strong bonds within co2 n2o and nh3 importantly these systems will share for the first time the key feature of exceptionally lowcoordination environments a design principle mostly underdeveloped in bimetallic chemistry this will unlock the main mechanistic bottlenecks associated to highly challenging catalytic transformations of these gaseous molecules by reducing the existing energetic barriers through metalmetal cooperation or by introducing alternative pathways based on bimetallic synergisms of high synthetic feasibility the targeted catalysts will offer a range of tunable features and a landscape of multisite molecular reactivity unattainable for mononuclear complexesthis project will offer cuttingedge science to transform cheap and abundant yet largely inert gaseous molecules through groundbreaking bimetallic synergies bimetalgas will set new grounds towards a more sustainable production of largescale commodity chemicals with broad ranging applications
impacts of climate extremes from mining of online texts

climate extremes have multifarious detrimental impacts on human activities and ecosystems gaining a detailed understanding of these impacts is essential for disaster risk reduction and for building resilience to extremes in a changing climate however current freelyaccessible natural hazard databases present limitations in completeness updateability validation against climate data and indirect impact information this hinders scientific and practical progressin icemot i aim to build a stateoftheart impact database for extreme climate events which overcomes the above key limitations i will specifically combine textmining of freely available online sources with the use of stateoftheart climate data to ensure feasibility i will initially focus on englishlanguage texts and on wintertime cold spells in north america and windstorms and heavy precipitation in europe extreme events which i have studied extensively in my ongoing erc projecticemot builds upon the database of climate extremes developed within my ongoing erc project it further leverages the experience of my research group in datadriven and machine learning analyses for climate science i will use this interdisciplinary knowledge base to provide standardised complete and automatically updateable spatiotemporal impact information including indirect andor cascading impacts and quantify the climate conditions associated with the recorded impacts moreover the databases automated data extraction and processing pipeline will make it easily scalable to multiple regions and climate extremesthis effort is timely the recent eu strategy on adaptation to climate change explicitly seeks to gather more and better data on climaterelated risks and losses as a key adaptation tool moreover the climate extremes data gathered in my ongoing erc project provides a perfect basis to test the innovative idea underlying the icemot database an opportunity which should be rapidly exploited
mechanics of the membranecortex attachment

the interaction between the cell membrane and the underlying actomyosin cortex is vital for various cell functions and survival this project aims to delve deeper into the intricate mechanics that govern the interaction between the plasma membrane and the cortex which collectively constitute the cell surface in many cell types despite the prevailing view that the cortex completely dominates cell surface mechanics due to its increased tension this research project aims to challenge that notion a fundamental aspect influencing cell surface mechanics is the binding strength and dynamics between the membrane and the cortex facilitated by membranecortex junction proteins mcas such as erm proteins mca distribution is influenced by local cortical contractions and protrusions driven by cortical flows which in turn may affect membrane tension and mca dynamics this project aims to build a comprehensive theoretical framework for cortexmembrane interaction the framework will include several key physical elements such as membrane and cortex mechanics junctional dynamics interaction with surrounding fluids and thermal fluctuations so that it can be applied to multiple cell types and processes in addition the physical model will be implemented numerically using phase field methodology to achieve accurate predictions being open source these predictions will be used to guide experimental measurements to better understand cell migration in neutrophils through a collaboration this framework and simulations will help us discover new biomechanical loops essential for the emergence and migration of cell polarity this research project is expected to have a lasting scientific impact on the field of mechanobiology by proposing a clear and generic biophysical picture of the membranecortex interaction and help propel my career path to become a leader in the physical modeling of the cellular mechanics
learning to donate

background without blood donors there are no blood products to transfuse and no plasma for pharmaceutical drug production four million patients are annually treated with blood derived products in europe alone given by voluntary donors yet as little as 23 of the population is registered as blood donor and donor numbers are decreasing during the last decades at the same time the demand for specific blood products is increasing hence it is crucial that a countrys donor pool is sufficient to ensure access to every needed blood type and plasma product targeted recruitment and retention of donors is vital to meet these demandsaim learndo intends to develop and market a fun and interactive knowledge intervention to stimulate key motivators and overcome key barriers for individuals to become a blood donorapproach we target two main stakeholder groups with this intervention individuals children and adults who can be potential future donors and blood collection agencies that need to recruit future donors to meet the demands for blood products we propose three installation elements that manipulate key barriers and motivators of blood donation a donor picture pillar that provides information about blood donation and shows patient and donor stories a donation experience to decrease fears and psychological distance towards blood donation and a conversation couch to stimulate talking about donation among participantsorganisation and impact the project is organised in four work packages wp the overarching project management wp1 led by the pi at the host institute will ensure that the impact proposition will include all scientific wp2 technicaleducation wp3 and business wp4 aspects learndo can thoroughly change the recruitment of future donors and improve the recruitment strategy of blood collection agencies by making them more evidencebased fun and interactive and targeted to specific groups including families and members from ethnic minorities
exploring bacterial multicellularity study of longdistance metal transport and intercellular junctions in actinosynnema mirum

in recent decades research has revolutionized the conventional view of bacteria as solitary entities suspended in liquid media bacterial multicellularity which leads to the formation of complex structures such as biofilms that comprises diverse bacterial species challenges the outdated paradigm even less is known about the multicellular bacteria capable of aerial growth raising questions about their access to essential resources found only in the substrate inaccessible to themthis project focuses on the study of two closely related bacteria actinosynnema mirum and actinosynnema pretiosum which form treelike structures known as synnemata data have revealed the presence of intercellular cell junctions the functions of which remain elusive but undoubtedly important within synnemata additionally metal distribution within the synnemata has been studied using nano xray fluorescence indicating the presence of metals throughout the aerial mycelium and patterns of discrete nonuniform intracellular metal concentrationsthis project aims to challenge the existing model of longdistance metal transport in synnemata it begins with the development of translational fusion reporters labeling membrane transporters with mneongreen coupled with confocal microscopy to assess the relevance of the proposed model depicting a restrained spatial localization of the transporters at cell junctions advanced cryoem techniques will also be used to better characterize the cell junctions within synnemata by examining metal transport and distribution within these multicellular structures this research aims to shed light on their intricacies and potentially revolutionize our understanding of how bacteria efficiently share essential resources over long distancesin summary this project ventures into the fascinating world of bacterial multicellularity and resourcesharing mechanisms within synnemata providing new insights into a novel aspect of bacterial life
sustainable engaging and creative tourism as a driver for a better future in rural and remote areas

tourism is more than travelling and consuming and it has a great potential for sustainable development when it focuses on culture nature knowledge and experiences creative cultural tourism can be used as a driver for innovation and cooperation and to counteract its negative impacts secretour will primarily focus on the local communities needs perceptions and expectations tourism will be conceived as a tool to complement and diversify the income of the territories and communities but also as a way of giving visibility and recognition to rural areas and their inhabitants also promoting the installation and generation of services other than culturalby developing a fair creative and sustainable tourism facstourism approach together with heritage communities hc the secretour consortium will assess the sensitivities and affordances of different local realities needs and types of cultural heritage visualizing and avoiding touristification and promoting alternative business models facstourism and hc will therefore enable governance and citizen engagement not only for touristiceconomic planning but also for community building and cultural heritage management and protectionthrough a series of pilot cases the project will demonstrate how cultural heritage can be used as a real driver for sustainable and fair development promoting at the same time its conservation pilots have been carefully chosen to represent a full range of european territories communities and heritage including not only rural and agrarian landscapes but also memory places of local identities minorities conflictive dark heritage pilots will be a focus for every part of the research as they will enable to test general ideas and observations in local detail and in specific governance contexts and to facilitate effective communication cooperation and problemsolving through an interdisciplinary and transsectoral approach