Dragon09/odtu_chatbot huggingface dataset:
former unaccompanied minors and the transition to adulthood perspectives and insights from the lived experience in finland

the overall objective of the proposed research is to better understand the perspectives of former unaccompanied minor youth in finland regarding their transition to adulthood an unaccompanied minor is a person under 18 who has sought asylum without a parent or guardian this study utilises a qualitative singlesite case design underpinned by a voicecentred relational methodology vcrm approach that champions the voices of participants participants will be approximately 20 young refugees who were once unaccompanied asylumseeking minors there are two research objectives linked to the action of this research research objective 1 ro1 is to better understand the transition to adulthood of former unaccompanied minor youth in finland the participants of this study sought asylum as unaccompanied minors but are now young adults as such are now technically former unaccompanied minors ro1 will address the following research questions how do former unaccompanied minor youth in finland conceptualise the transition to adulthood what do former unaccompanied minor youth in finland identify as barriers and supports to the transition to adulthood research objective 2 ro2 is to innovate new ways of coconstructing knowledge and art with participants addressing the following research question how does the collaborative creation of knowledge through a participatory artsbased method amplify the voices of former unaccompanied minor youth in finland the findings of this study will have the capacity to influence the informing of needsbased policies and supports to aid in a smooth transition to adulthood for these youth as well as advancing the stateoftheart of our current knowledge on the transition to adulthood
novel approaches for halogenfree and sustainable etching of silicon and glass

current industrial plasma etching processes are not sustainable because they make use of halogens halofreeetch will take a fundamental interdisciplinary and systematic approach to find new halogenfree etching processeshalofreeetch aims to identify new halogenfree and sustainable etching processes for sustainable semiconductor manufacturing applied to deep etching of silicon and silicon oxide the novel etching processes we aim for shall be clean in terms of harmful chemicals efficient in terms of processing speed and manufacturability and precise in terms of the desired shapes halofreeetch will provide a novel model and databased methodology for sustainability and life cycle analysis of plasmaetching to quantify the carbonfootprint of all novel etching processes halofreeetch combines labscale research on three innovative technological routes with computational screening of novel and promising etchants a comprehensive multiscale modeling approach to predict potential working points and a modelbased life cycle and sustainability analysis hydrogen hbased metal catalystassisted as well as approaches inspired by atomic layer etching ale will be studied stateoftheart plasma etching machines will be modified and combined with innovative features and advanced analytics besides getting rid of halogens we will address more dimensions of sustainability such as the high energy consumption of the established plasma etching processes halofreeetch will implement a novel sustainabilitydriven process development scheme which might serve as a blueprint for sustainabilitydriven process development in electronics and many other industries the project will focus on the semiconductor industry where plasma etching is a standard industrial process used for many applications taking the lead in the development of innovative halogenfree processes will strengthen the longterm position of the eu in the global chips industry
development and commercialization of a kit for profiling enzyme activity in liquid biopsies

ubiquitination is a posttranslational modification ptm that is critical for numerous biological processes including cell cycle autoimmunity immune responses and cancer this has instigated vast interest in targeting the ubiquitin machinery and in elucidating ubiquitindependent events in pathologies however a key constraint is the lack of highthroughput methodologies for monitoring ubiquitination in clinical samples current tools mostly provide a qualitative sense of ubiquitin substrates and are limited by the need for unique expertise and large amounts of biological material to address this gap we have established a ptmprofiling tool that utilizes enzymatic activity in biological samples eg liquid biopsies enabling readouts of several ptms across thousands of proteins for multiple samples simultaneously we will employ our platform technology to the discovery and development of ubiquitinrelated diagnostics and therapeutic agents in the field of autoimmunity
locality naturepositive algaebased food agriculture aquaculture and textile products made in north and baltic sea ecosystems

locality will implement local innovative and sustainable value chains supporting the interaction of the algae value chain actors with relevant waste stream producing industries three regional ecosystems will be strategically developed in key regions considering strong and active business on which circularity and sustainability will be improved by the reutilization of wasted nutrients for algae cultivation these ecosystems will be positioned in the baltic and north sea bordering countries but multiperspectively supported by other rd and industrial experienced partners in sustainable algae production the biomass will be processed using a biorefinery approach and raw and treated ingredients applied in the food aquafeed agriculture and textile markets an integrative methodology involving rd partners industry and smes will work in each market sector to develop innovative and sustainable algaebased products the consumer readiness for the designed products will be assessed and significant constraints and legal barriers will be identified those will be evaluated and integrated into the business model to prepare a successful market implementation and exploitation of the developed products a dissemination and communication plan for maximum outreach to all relevant stakeholders will be implemented the designed products will gain a strong position in the european marketplace in the coming years
generalised integrality and applications to number theory

in this proposal semiintegral points refer to notions of rational points on algebraic varieties that satisfy an integrality condition with respect to a weighted boundary divisor they were first introduced by campana and by darmon campana points have recently risen to the attention of the number theory community thanks to a manin type conjecture in the recent work of pieropan smeets tanimoto and vrillyalvarado semiintegral points provide both an intermediate notion and a generalisation of the notions of rational and integral points thereby unifying the two theories this proposal concerns the existence of semiintegral points and the density of orbifold pairs in general families having semiintegral points the aims of this proposal are to determine good upper bounds for the density of orbifold pairs in a general family that have semiintegral points wp1 and to compute obstructions to the existence of semiintegral points and hence to integral points in key examples corresponding to longlasting questions in number theory wp2the approach will combine a variety of techniques from analytic number theory algebraic geometry and arithmetic statistics for wp1 the experienced researcher and the supervisor will develop a criterion to detect local semiintegral points together with a sieve method to estimate the number of everywhere locally soluble varieties in the family for wp2 the research team will develop a brauermanin obstruction theory for semiintegral points to compute failures of the integral hasse principle in fundamental examples and handle classical diophantine problems such as the existence of integral points on diagonal cubic surfaces and the nonexistence of consecutive powerful numbers
magnetic insilico cancer treatment magicat advanced models of magnetic hyperthermia

magnetic nanoparticles show promising perspectives for an increasing number of biomedical applications in particular magnetic hyperthermia which is proposed as a noninvasive method for cancer therapy the advances are limited by the complex behaviour of nanoparticles inside biological environments and the lack of sophisticated theoretical tools to tackle the problem the project goal is to develop an advanced theoretical and computational model to investigate the basis of magnetic hyperthermia and provide tools for personalised therapy optimisation the model will use state of the art techniques in theoretical magnetism and thermodynamics to describe in a selfconsistent way the heat generation and transport inside and around the tumour the new theoretical framework willallow quantifying the heat generated by each individual particle at nanosecond resolution this will include the case of large particle assembles where interparticle interaction play a crucial role the short time scale nanoseconds required by the fundamental aspect of the problem will be coupled with the large time scale minuteshours required for the treatments by using a multiscale approach to mimic the physical conditions of magnetic nanopaticles inside real tumour tissues particlestumour spatial configuration and properties will be based on experimental datathe model will be validated through an extensive collaboration with leading experimental groupsthe final goal is to develop a publicly available documented software which can be used by the research community for basic theoretical studies understanding of experiments and as a tool for hyperthermia optimisation
transforming gendered interrelations of power and inequalities for just energy systems

genesys advances understanding of gender social inequalities in energy transition policies processes outcomes through new research by closing knowledge gaps the group of the chief scientific advisers to the eu recommend that the transition to carbonneutrality must be just and fair just transition mechanism states that in order to be successful and socially acceptable for all the transition has to be fair and inclusive all possible mechanisms should be deployed to mitigate adverse consequences the european green deal takes a narrow focus on mitigation mostly male workers in the old fossil fuel sectors egd includes the goal of supplying clean affordable and secure energy which parallels sdg7 to ensure access to affordable reliable sustainable and modern energy for all like egd sdg7 is gender blind it has no gender indicators or targets even though access affordable are concepts that hide multitude of power and gender inequality relations genesys cooperate with partners in africa to tackle the gender concerns in the eus and uns aims to transform energy will show how to integrate gender perspectives into sdg7 for gender equality benefits genesys will improve understanding of intersectionality through analysis of existing data and by collecting analysing and theorising original data collected through extensive surveys genesys conceptualises energy transition as a dynamic gendered missionoriented sociotechnical innovation ecosystem with technological policy social environmental governance economic subsystems each with its own sustainability visions values and priorities as well as change actors and stakeholder the dynamic nature of energy transition ecosystem opensup opportunities to give women men the same chances to participate influence benefit from the changes
setting the scene developing a policy agency for sustainable forms of media tourism

this project focuses on media tourism the phenomenon of people travelling to places associated with movies television series and other forms of popular culture media tourism has gradually evolved into a multimilliondollar industry with farreaching implications for the related locations affecting their economy environment and community as a result city governments increasingly seek strategies to manage both the positive and negative impacts of these oftencapricious media and tourism flows however the extensive research data generated by the erc project words of imagination woi which has been collected in multiple western and nonwestern cities eg kingston seoul mumbai rio de janeiro and edinburgh confirms 1 the potential of new media tourism initiatives and b the need for humanities researchbased knowledge and critical and holistic advice to develop effective policies for sustainable and inclusive media tourism therefore our goal is to set up a worldleading policy development agency called setting the scene sets that is focused on providing municipalities around the world with a set of products and services to develop their media tourism industry in an environmentally sustainable socially responsible and culturally sensitive manner while several agencies advising government departments on the industry exist none of them adopt a critical and holistic humanities perspective and focus on the sustainability and inclusivity of media tourism the ultimate goal of this poc is to demonstrate the financial viability and technical feasibility of the envisioned policy development agency sets in assisting city governments with the search for tailored researchbased policies concerning sustainable and inclusive media tourism
uncovering the role and regulation of 3d dnarna nuclear dynamics in controlling cell fate decisions

at the onset of mammalian life the first lineage specification decision is made where embryonic cells opt tobecome either part of the placenta or the future body proper regulation of this choice is crucial for subsequentdevelopment however we dont know how the transcription program and 3d genome architecture ariseinterconnect and are controlled to determine the fate of each cell in a developing embryo recent studiesincluding my work suggest that in addition to canonical mrnacoding genes rnas from the dark parts ofthe genome eg transposons repeats longnoncoding rnas play a significant role during these events yethow specific classes of rna regulate gene expression and nuclear architecture post fertilization remainselusive the main aim of my proposal is to understand the interrelationship between 3d genome organizationand the transcriptome across early development and to identify novel factors that lead to the first cellfatedecision and concomitant decrease in cell potencyrecent technical advances which i codeveloped enabled simultaneous measurement of 3d genomeorganization and the transcriptome and facilitated largescale functional screens in early mammalian embryosthus i now propose to generate spatiotemporal maps of 3d dna and rna organization from early mouseembryos at singlecell resolution obj1 to build a complete picture of the relationships between nucleararchitecture and emerging celltype specific transcriptome that drive early cell fate choices i will combinethese data with largescale in vivo perturbations targeting protein coding genes obj2 and dark genomernas obj3 to identify key inducersregulators of lineage specification and to determine molecularmechanisms governing cellstate transitions the proposed research will help us to control correct andeventually employ early stages of embryonic development and their high cell potency in vitro in reproductivemedicine and stem cell research
biobased polyelectrolyte nanoformulations for foliar delivery of multitarget dsrna an approach towards novel biocontrol agents for crop protection

the impact of plant pests on global crop yields is a significant concern leading to an annual decrease of more than 30 in crop production the whitefly alone incurs losses exceeding 300 million each year primarily due to its role in transmitting harmful plant viruses like the tomato yellow leaf curl virus tylcv which poses a substantial threat to tomato crops worldwide the use of conventional pesticides raises environmental alarms negatively affects beneficial insects and contributes to pest resistance initiatives like the european green deal aim to promote sustainable agriculture by reducing chemical pesticide usage by 50 by 2030 sprayinduced genetic silencing sigs harnessing the rna interference rnai mechanism has emerged as a promising alternative to conventional pesticides this nongmo approach offers a sustainable and pathogenspecific protection method by silencing key genes in target pests through the foliar application of dsrna molecules however certain challenges remain unresolved including the costeffective production of dsrna the ability to control multiple species simultaneously and dsrna stability and transport in crop environments this project seeks to overcome these challenges by implementing innovative safe and costeffective approaches firstly we will synthesize dsrna containing regions from both whitefly and tylcv through microbial fermentation and apply a simple purification method to achieve highefficiency hybrid dsrna isolation secondly we will design new biomassbased formulations using nanopolyplexes as carriers to efficiently protect and deliver the dsrna thus we will develop advanced biocontrol strategies for dual protection against both the insect vector and its host virus in tomato through the integration of polymer science nanotechnology and biotechnology approaches our efforts aim to advance dsrnabased biopesticide technology and facilitate its labtofield transition
tau a molecular modulator of neuronal energy managment

the intraneuronal somatodendritic missorting and aggregation of tau are pathological hallmarks in neurodegenerative diseases ndds like and alzheimers disease ad and are thought to be drivers of neurotoxicity that ndds manifesting with tau missorting present with neurometabolic abnormalities often prior to pathology onset is largely overlooked energizetau investigates the groundbreaking new idea that the somatodendritic resorting of tau is a physiological response to bioenergetic challenges faced by excitatory neurons such as hyperexcitation or energy deprivation in its proposed role as modulator of neuronal energy management tau modulates the cellular energy demand through molecular interactions with key cellular functions eg synaptic activity atp production and protein translation and alters the neuronal metabolism continued energetic stress in disease results in irreversible silencing and tau aggregation in affected neurons using my uniquely broad tau expertise we decipher how tau interferes with energy demanding cellular functions to modulate neuronal energy household downstream of bioenergetic stress lightinduced tau expression and crispredited human neurons enable to study taus molecular actions by interactomics and singlemolecule imaging and the effects on cellular functions taus influence on the neuronal metabolism is determined by longitudinal live cell metabolite imaging and spatial transcriptomics in human brains and the impact on gene and chromatin regulation by cuttag and dnafish whether stressors converge on energy limitation as a driver of tau resorting is assessed by highcontent metabolite imaging energizetau introduces the metabolic component of tau pathobiology and generates a paradigm shift in ndd research it creates space for rethinking hallmark protein pathology in ndds and has the potential to result in new approaches targeting the neuronal energy metabolism to prevent and treat ndds
control of cytoplasmic inheritance in plants

in plants genetic material is stored in the nucleus and the two cytoplasmic organelles plastids and mitochondria while both the nuclear and cytoplasmic genomes are essential for plant survival the inheritance of these genomes is subject to different sets of rules cytoplasmic inheritance differs from nuclear inheritance through two unique phenomena uniparental inheritance and vegetative segregation despite extensive research efforts the molecular basis of uniparental inheritance and vegetative segregation remain elusive a major challenge in unraveling the mechanisms is the lack of methodologies excitingly recent advancements in cytoplasmic genome engineering have provided me with a unique opportunity to develop feasible approaches for exploring this crucial area of biology the ultimate goal of this project is to achieve a comprehensive understanding of cytoplasmic inheritance which will in turn enable us to control the plastid and mitochondrial inheritance to attain this ambitious goal we will pursue three specific aims 1 identifying the factors that govern maternal inheritance 2 promoting the selective transmission of cytoplasmic genomes and 3 investigating the molecular basis of vegetative segregation in this project we will utilize a combination of genetic and cytological approaches to study cytoplasmic inheritance in the model plants arabidopsis thaliana and nicotiana tabacum the success of our project would represent the first instance of controlled cytoplasmic inheritance in plants our fundamental research will provide new tools for testing existing hypotheses regarding cytoplasmic inheritance from an agricultural standpoint breeders can leverage this unprecedented capacity to selectively transmit cytoplasmic genomes thus enabling the inheritance of desired crop traits the potential application of cytoplasmic inheritance in plant breeding highlights the societal impact of our research
mapping the extreme universe with deep neural networks from simulations to rubinlsst data

the consensus cdm lambdacold dark matter model of cosmology has shown remarkable explanatory power over a variety of cosmic scales and epochs and it narrates a reassuring story of a universe currently filled mostly with dark matter and dark energy yet this explanation is not fully satisfactory because the actual nature of the dark components remains a puzzle furthermore cosmologists have recently reported significant anomalies concerning the delicate balance of cosmic expansion and structure growth without a compelling solutionthe main objective of the mapex project is to reassess this farreaching problem from a new perspective and determine if cosmological tensions can be traced to the most extreme cosmic web environments deep voids and dense superclusters this eufunded action will allow me to access unprecedented new data taken at the vera rubin observatory solidifying and broadening the hungarian contributions to the nextgeneration legacy survey of space and time lsst project based in chile to go beyond the stateoftheart i will acquire extensive skills on machine learning techniques from expert researchers at konkoly observatory to combine with my groundwork results on cosmological data analysis from above all the dark energy survey desas a key innovation i will develop deep learning models to study extreme voids and superclusters first i will apply convolutional neural network methods to augment traditional crosscorrelations between galaxy density fluctuations and the anisotropies of the cosmic microwave background then i will capture the dependence of their gravitational signals on the physical properties of dark energy and dark matter the proposed analyses of simulations and early observational lsst data will help resolve whether some asyet unknown physical effects or systematic biases complicate the picture in cosmology either way we will gather fundamentally new knowledge about the universe on the largest scales