Dragon09/odtu_chatbot huggingface dataset:
the asian origins of global capitalism european factories in the indian ocean 15001800

in the present age of deindustrialisation of the west the origins and evolution of global capitalism matters capasia locates the origins of modern industrial capitalism in the space of asian ports in the indian ocean where the portuguese as well as the dutch english french and other european east india companies operated in the early modern period 15001800 well before the rise of 20thcentury special economic zones and world financial centres the ports of maritime asia factories were areas of global trade and hubs of economic dynamism today factories are places of industrial production but they owe their name to these premodern asian trading ports europeancontrolled trade hubs headed by company servants called factors factories were places where commodities for intercontinental trade were assembled stored and shipped this project investigates the genesis evolution activities and connections of over 150 small and large such factories as the foundation for a new spatial theory of capitalist development complementing and challenging the current atlantic plantationbased explanations proposed by the new history of capitalism capasias integration of the large archival repositories of the different european east india companies and asian archives will also be the basis for the decolonization of the history of capitalism over its fiveyear duration this project will ask what kind of economic activities were carried out in these imperial trading centres what were the interactive roles of european and local merchants it will map the intercontinental movement of goods people and information across an archipelago of asian ports working with collaborators from across the globe capasias overarching ambition is to recast the narrative of global economic change and capitalism by incorporating both asian and european economic actors and their interactions in the space of the still unstudied factories of the indian ocean
retirement across countries a tripartite analysis of the welfare state family care networks and the retirement industry

in a rapidly ageing world todays retirees are moving across borders at unprecedented rates existing studies have analysed this group through singlefocused approaches to welfare family care networks or the retirement industry at one point in time retirewel will be the first study to take an integrated approach to individual experiences of spending and planning for their retirement in more than one country and their complex relationships with the welfare state family care networks and the retirement industryretirewel asks 1 what patterns of transnational retirement are observable and what new trends are emerging 2 how do older adults experience spending and planning for retirement in more than one country in relation to the nationbased welfare state family care networks and retirement industry 3 how do public and private stakeholders deal with individuals who spend or plan to spend their retirement transnationally 4 how do places shape and are shaped by transnational retirementthis multisited multimethod study focuses on three migration corridors that link european and noneuropean contexts portugalbrazil netherlandsturkey ukindia that exhibit these intricate relationships between the welfare state family care networks and retirement industry it will focus on two groupsretirees and soontobe retireesproviding novel insight into how retirement is spent and planned transnationally retirewel breaks new ground on two counts first by approaching retirement and retirement planning through a multidirectional transnational lens and second by theoretically and empirically integrating welfare state family care networks and retirement industry market in a comparative study it develops a novel theoretical framework to understand how public and private stakeholders interlock in new and uneven ways across borders and provides new insights into what retirement futures are in the making
bestestimate projections of future compound extreme heat its impacts and driving mechanisms

in a warming world extreme heat will become more likely and more extreme extreme heat can lead to devastating socioeconomic and ecological impacts especially when peak maximum temperatures occur together with other compounding stressors such as high ambient humidity lack of nighttime cooling or persistent drought when unprecedented recordshattering compound heat extremes occur it raises the question of whether current climate models are able to sufficiently capture the risk and intensity of such unlikely but devastating extremes under present and especially future climate conditions are climate model projections downplaying the risk and intensity of current and future heat due to missing or incorrect process representation can climate models sufficiently sample the most unlikely and extreme albeit still plausible events and how would such utterly unlikely extreme compound heat develop which intensity persistence or compounding could it reach these are the questions i will answer in trueheat and by doing so i will produce the bestinformed knowledge of the unlikely but plausible heat that we may come to experience in the nearterm future and how single instances of extreme heat can turn into their most devastating and unprecedented versionto do this i will first exploit the vast amount of existing large ensembles from different climate models that allows me to curate bestestimate future heat and heatimpact projections using superior evaluation and performanceweighting frameworks then i will use climate prediction ensembles to assess where chance brings the largest heat intensification while determining why forecasted black swan heat extremes did not occur or occurred in a less extreme form in reality lastly i will generate novel targeted boosted large ensembles to quantify the role that chance plays in the intensification of extreme heat and to fully sample the most unlikely but physically plausible worstcase heat storyline
magnetic hyperthermia for metastasized tumor treatment and remote manipulation of microdevices

in magnetic hyperthermia mht magnetic nanoparticles mnps convert magnetoenergy into heat under a timevarying magnetic field mht with mnps is used in catalysis to promote reactions in solution and in cancer therapy to burn primary tumors in clinic eg glioblastoma upon deposition of nanoparticles at the tumor site the power of mht being an externally triggered approach to produce heat goes beyond these actual uses in giulia project i will apply mht in tasks not yet explored to target the unmet needs of treatment of metastasized tumors and address mhtmediated locomotion mht treatment of cancer metastases is now not doable because of scarce mnp dose accumulation at the spreading tumor sites in giulia mnps designed for mht will be loaded inon natural killer nk immune cells which intravenously injected will deliver as trojan horses the right dose of magnetic materials needed for mht to the metastases i will aim at raising the capability of nk and carnk immune cells to infiltrate and recognize the tumor this will merge synergic toxic effects of nk cells immunotherapy with mhtheat damage of mnpsnext magnetic microdevices and their remote locomotion based on mhtheat gradient represent a new technological solution for delivery purposes with no tissuedepth attenuation for their actuation under mht i will explore the localization of heat spots on metallic magneticbased heterostructures as a means to generate bubbles in a liquid and drag an ad hoc designed magneticmicrodevices to which the heterostructures are anchored for the scaleup synthesis of metallicmagnetic heterostructures needed for the microdevices i will merge an inflow approach to an mhtroute synthesis the heat at the mnp surface will be used as an in situ energy source to promote the growth of the metallic domain on the mnp advanced nk cells and microdevice technology of giulia will impact the medical fields of mnpdrug delivery immunotherapy and smart robotics
solar babysitter technology to change solar world

team led by women ceo skirmante is working on disruptive ai based technology for pv plants operation able to fully replace existing operation models increasing profitability and adapting them to the distributed energy generation system needs innovative energy intelligence system is in the final stage of development trl6pv has already become recognized worldwide as the cost effective energy source but it still bears huge potential for further cost reduction contributing to one of the greatest challenges for humanity eradicating energy poverty this is achievable through a twofold approach by increasing overall efficiency and improving operation of pv systems this is where proposed innovative product solar babysitter is stepping in addressing both cost categories team main goal is to successfully and timely enter the market with the developed disruptive technology this project is an initial step on a pathway to scaling up at accelerated growth scenario supporting preparation for participation in eic accelerator team seeks to review and confirm business model establish solid partnership basis for future business and to develop a sustainable growth strategy to achieve this target following project objectives were formulated 1 prepare to become an investment ready company mentoring and coaching services are needed to gain skills and knowledge for timely upgrade of solar babysitter business model and growth strategy a series fundraising and other analysis will be prepared for fast market penetration 2 connect to establish a strong business partner network to connect and attract the companies to market validation campaign participation and representation in the dedicated networking and pitching events organised by investeu een and eic woman leadership programme etc 3 engage to engage and attract techsavvy women to the booming solar sector through campaign women leading tech and wide interviewlike dissemination events
investigating the consequences of birth by caesarean section in hypothalamic and amygdalar neurovascular development

early postnatal development is a vulnerable period during which environmental faearly postnatal development is a vulnerable period during which environmental factors significantly influence brain development among these factors the gut microbiota has been found to impact brain function and development however there is a lack of mechanistic understanding regarding how changes in earlylife microbiota composition can lead to brain dysfunction caesareansection csection delivery while lifesaving in some cases is becoming more common even when not medically indicated this trend raises concerns about the disruption of perinatal microbiota and its potential impact on newborn brain development my preliminary data showing neurovascular dysfunction in csectionborn neonatal mice support my hypothesis building on this foundation avalon aims to investigate the interactions between neonatal microbiota and neurovascular development in the hypothalamus and amygdala at molecular and cellular levels i will utilize a csection mouse model to disrupt earlylife microbiota and assess its impact on neurovascular development through invivo tracer imaging and integrated multiomics analysis additionally i will use a reporter mouse line to trace amygdalar and hypothalamic neuronal populations i will also identify key microbial functions that modulate neurovascular and neuronal development furthermore i will explore the potential of precision probiotics to mitigate microbiotainduced deficits offering valuable translational insights avalon will significantly contribute to my career by providing training in both academia and industry enhancing my research skills and expanding my professional network to ensure broad awareness of avalons outcomes a dissemination strategy will be implemented targeting scientific public and industry audiences the strategy will aim to underscore the critical role of perinatal microbiota in shaping postnatal brain development
a roadmap for industrial symbiosis standardisation for efficient resource sharing

industrial symbiosis is is a key solution to address the challenges of conserving natural resources yet the lack of standards and the difficulty in is standardisation due to its crosssectoral nature and additional bottlenecks impede the uptake of is solutions risers aims to address such bottlenecks through the development of a roadmap towards is standardisation promoting resource sharing and the integration of new ri results to support is to this aim we will operate in several dimensions 1 identification of gaps and opportunities in existing sectoral practices and standards for the uptake of priority is synergies 2 promote the uptake and contribution of ri results to is standardisation through identifying demandled ri priorities as well as through identifying barriers and enablers to market entry for innovative is solutions 3 engaging the policy community in is standardisation through suggesting new or adjusting existing policy frameworks and initiatives these activities will be conducted through constant engagement of experts and stakeholders from the industry standardization bodies academia policy funding bodies and additional relevant stakeholders and continuous dissemination op results and knowledge for their uptake fostering community building knowledge exchange and crosssectoral collaboration based on the knowledge developed and gained in all these activities risers will develop a roadmap for developing new or adjusting existing directions is standardisation to promote circularity of resources in the long run thorough facilitating is standardization risers will contribute to among others effective use of resources and crosssectoral interoperability in resource sharing easier market entry for innovative is enabling technologies improved integration of ri results in is standardization cost savings new revenues from increased adoption of is and increased eu participation in international standardization
bioinspired catalysis in aqueous coacervate droplets towards a softer chemistry

bioinspired catalysis in aqueous coacervate droplets towards a softer chemistryrecent advancements in modern synthetic chemistry have aligned with the imperative of reducing environmental impact driving the emergence of a more sustainable chemistry inspired by nature in organic chemistry the formation of cc bonds is pivotal but often necessitates the use of both metal and organic solvents however a nonenzymatic approach to forge cc bonds in water has been demonstrated through the stetter reaction a bioinspired process catalyzed by nheterocyclic carbenes nhc and thiamin cofactor mimics due to their limited water solubility organic substrates generate waterisolated organic droplets effectively promoting the stetter reaction despite nhcs sensitivity to hydrolysis our objective is to investigate the stetter reaction within polymerrich aqueous microdroplets known as coacervates which emulate primitive models of early living cells similar to micellar chemistry these droplets possess a hydrophobic inner core facilitating the spontaneous uptake and accumulation of organic molecules we hypothesize that coacervates can serve as microreactors for cc bond synthesis catalyzed by newly designed azoliumbased organocatalysts compatible with coacervates our aim is to demonstrate insitu cc bond formation via a model stetter reaction and explore the molecular mechanism akin to an onwater environment while considering the impact of coacervates internal polarity on reaction kinetics yield and selectivity altogether our findings will broaden horizons in sustainable bioinspired chemistry enhancing the soft chemistry toolbox and potentially inaugurating a new realm of research bioinspired organic synthesis within coacervates significantly the chemical synthesis of complex molecules in coacervates could also shed light on mechanisms that could have led to the formation of lifes molecules in protocells before enzymes emerged
three dimensional quantum nanomaterials

quantum nanomaterials are highly relevant for todays society playing a key role in existing technologies and promising revolutionary changes addressing global issues with the possibility for new computing architectures and highly efficient devicesuntil now most studies of quantum nanomaterials have been two dimensional extending to three dimensions results in opportunities for increased density and interconnectivity with the possibility to go beyond the physics of planar systems this has recently been exemplified by nanomagnetism where advances in methodologies have driven breakthroughs in our physical understanding leading to the discovery of exotic spin textures nonreciprocal dynamics and curvatureinduced effects however the extension of a wider range of quantum nanomaterials to 3d geometries faces experimental challengesin this erc project i propose to explore the physics of quantum nanomaterials in three dimensions developing stateoftheart experimental techniques establishing a common experimental methodology to study the fundamental physics of 3d quantum nanomaterials this project will address three scientific cases first i will develop 3d antiferromagnetic imaging to explore the formation of topological textures in antiferromagnets and their currentinduced dynamics second i will measure the dynamics of 3d nanomagnets realising nonreciprocal domain wall motion and spin waves in a lowsymmetry 3d geometry third i will harness new nanofabrication capabilities to explore the physics of 3d superconducting nanocircuits achieving local control of the state as well as exploring the behaviour of superconducting vorticesthis project will lead to advances both in experimental capabilities and in our understanding of the influence of 3d nanogeometries on the physics of quantum materials the project will facilitate a change of paradigm for quantum nanomaterials impacting both fundamental research and technological applications
tree water use under changing snowrain seasonality the forgotten treeinduced upward preferential flow in boreal soils

the project tree water use under changing snowrain seasonality the forgotten treeinduced upward fast flow in boreal soils aims to go beyond the stateoftheart in boreal tree water use twu research by 1 challenging the fundamental twu assumption of no water isotope fractionation along the boreal twu pathway 2 unravelling the hydrological importance of the forgotten upwards preferential flow in boreal forest soil and 3 being the first to systematically consider biophysical impacts of changing snow and rain on twu from the root level to individual level under the supervision of prof hannu marttila university of oulu these aims will be supported by an innovative experiment setup highresolution water isotopes and bidirectional fluxes on roots to stems and uptodate methodology and instruments insitu nondestructive water isotope probes picarro l2140i isotope analyzer heatplusmethod sap flow sensors where the research will be conducted in a boreal forest near the arctic circle on three typical boreal species with manipulated snowpack depth during the project my expertise in ecohydrology will expand from temperate forests and sap flow techniques to boreal forests and stable water isotope techniques which will be a stepping stone in my longterm academic career plan for becoming a leading and independent ecohydrologist meanwhile my knowhow in tree transpiration and tree ecophysiology complements the expertise in northern hydrology at uoulu the proposed dissemination exploitation and communication measures and activities will significantly impact the ecohydrology community and will subsequently contribute to improving sustainableuse climatesmart forest and water resource management benefitting forest and water resource related stakeholders and lowering climate risks for society
advancing machinelearned interatomic potentials for proteins simulation mlp4prosim from development to application

atomic simulation of the proteins is one of the main tools in understanding the functions interactions and dynamics of these vitally important biomolecules and plays a pivotal role in numerous cuttingedge researches such as elucidating the pathways of diseases drug discovery and so on the limited accuracy of the classical force fields specially in approximating nonbonded interactions as well as in capturing kinetics of proteins has attracted attentions towards more advanced alternatives mlp4prosim aims to develop nextgeneration transferable allatom machinelearned potentials mlps for computer simulation of proteins to assure the applicability of the developed potentials for more realistic and biologically relevant simulations training of the mlps is carried out using a critically assessed dataset containing both quantummechanically computed and experimentally determined reference data enabling transferability of the developed mlps and their applicability for the simulation of different proteins without requiring demanding retraining processes will be addressed by considering training sets containing proteins with diverse shapes functions and sizes the resulting mlps after being validated for reliability and transferability via extensive benchmark tests will be implemented in lammps as an extensively applied molecular dynamics simulation code to make it openly accessible to the community the successful completion of the project objectives is expected to have significant impacts in a broad range of scientific and technological areas in addition to the anticipated outstanding scientific impacts this project encompasses comprehensive trainings planned for the experienced researcher dr amin alibakhshi in accordance with the objectives of the horizon europe framework programme this training aims to equip him with the essential skills and innovative capabilities required to emerge as a future leader at the forefront of academic excellence
circular economy modelling for climate change mitigation

decarbonizing the production and consumption of products and materials play a critical role in reaching ambitious climate targets as a result a new circular economic system that aims to reduce primary material use in addition to energy efficiency and fuel shifts can address both greenhous gas emissions ghgs and increase resource efficiency however current ghg mitigation models and scenarios that inform climate policymakers do not generally include circular economy ce options they also do not cover the possible synergies of the ce with other societal goals such as the sustainable development goals sdgs nor the challenges involved in rearranging value chains and consumer behaviour circomod addresses these challenges by developing a new generation of advanced models and scenarios that will assess how ce can reduce future ghgs and material use the project brings together a unique consortium of leading research teams from different disciplines including industrial ecology and material flow modelling processoriented integrated assessment modelling and macroeconomic modelling it aims for a breakthrough in integrating ce and ghg mitigation assessments by developing an analytical framework that maps circular economy strategies to existing influential climate scenarios by providing robust and timely ce data in an open repository and by improving the representation of the ce in leading models used by european and global institutions while strengthening links between the models these key scientific breakthroughs enable robust scientific assessments in collaboration with stakeholders across policy and industry it will provide timely input to international assessments such as the intergovernmental panel on climate change ipcc and the international resource panel irp circomod will provide actionable insights into the circular economy and help address one of the largest challenges of the coming decades