Dragon09/odtu_chatbot huggingface dataset:
numerically exact theory of transport in strongly correlated systems at low temperature and under magnetic fields

transport in strongly correlated materials is one of the central topics in condensed matter physics due to major prospects for technological applications particular attention is paid to the cuprate superconductors and by association to kappaorganic materials and moir systems the last decade has seen great progress in the understanding of the generic hightemperature properties of these systems largely based on the microscopic yet simplified interacting lattice models however there are multiple outstanding questions regarding their lowtemperature physicsthe mechanism of the strangemetallic linearintemperature resistivity and its relation to superconductivity have so far eluded understanding there is conflicting evidence for the quantum critical qc scenario which is a common view that there is a zerotemperature qc point hidden behind the superconducting dome on the phase diagram of the cuprates recent magnetoresistance measurements in these and other materials contribute to a puzzling phenomenology the factors that determine the magnitude of the superconducting critical temperature are also poorly understood further progress is blocked by the limitations of quantum manybody numerical methodsto address these questions we propose to employ a highly promising new approach to the numerical solution of the manyelectron problem it may overcome the longstanding limitations and allow for an unprecedented accuracy and control the realfrequency diagrammatic monte carlo method will yield numerically exact results for the resistivity in a range of lattice models at low temperature and as a function of magnetic field these results will help interpret recent experimental results set new predictions and open doors to reverseengineering of functional materials the tools we develop will be readily applicable to a wide range of condensed matter physics problems and we will make all code packages publicly available
hazards of microplastics to the marine ecosystem a novel mesocosm approach to evaluate the dynamic and effects of microplastic on marine organisms health

microplastic debris pollution mp as a serious environmental problem worldwide is responsible for most of the hidden marine plastic pollution being found in organisms from algae to top predators this innovative proposal acronym plasthealth will provide a comprehensive understanding of the transfer and effect of mp pollution for the first time at the ecosystem level with two main objectives 1 assess the transfer of mps within the three ecosystem levels evaluating the effects of mp exposure on the health such as the gut content gut damage metabolic activity and oxidative stress using biochemical and histopathological analyses and recovery rate of the model species using fluorescent stereomicroscopy and 2 investigate the effects of mps on the gut microbiome of the model species and the subsequent changes in the community dynamics of the plastisphere microbial community formed on plastic debris after mps digestion by the model species using metagenomicsgoing well beyond the state of the art in several fronts a unique experimental setup that includes three functional groups mesocosm model system a prey arthropod artemia salina a predator fish sparus aurata and a filter feeder mussel mytilus sp following a highly interdisciplinary approach and using advanced techniques the research plan will test three mp concentrations 0 10 and 1000 ml1 and two mp diameters 2 and 10 mthe strong interdisciplinary and international character of the proposal will greatly contribute to development of new skills and to the expansion of the applicants research network grounded on an effective communication strategy and with potential to deliver outputs with outstanding scientific societal and policymaking impact health and safety and environmental with farreaching implications wellbeyond its focal species and systems the project will unveil new aspects of mp pollution on marine ecosystems raising awareness of mp pollution
breaking the inequalitycrime cycle biases in police decisions what works in prison and firm demand for workers with criminal records

economic inequality across the population implies vastly unequal opportunities in many dimensions that can impact an individuals chance of entering the justice system one such channel via which this can occur even holding criminal behavior constant is unequal treatment by agents of the justice system eg police the consequences of such partiality is not trivial once in the system it is hard to get out and to the extent that convictions and sanctions result in worse outcomes eg employment for offenders andor family members the cycle of crime and economic inequality will perpetuate for current and future generations this program pushes forward the evidence base on three channels police prisons firms through which this cycle can be broken part 1 aims to measure and study the adoption of implicit bias training programs by police agencies despite such programs being a goto response of agencies accused of bias there is almost no knowledge on howwhether they impact officer behavior part 2 addresses the knowledge gap on what specifically works in prison first we will study the unintended impacts of two swedish sanction reforms onto untreated populations i does more time in prison have spillover effects for family members ii did the introduction of electronic monitoring impact the conditions and outcomes of ineligible offenders left behind in prison second we will open the blackbox of prison healthcare to study how inprison treatment diagnoses medication vaccines programs impacts postrelease health medication adherence and crimepart 3 aims to further our understanding of the employment opportunities or lack thereof for workers with criminal records wcr we will use swedish registers to study i the extent to which wcr are sorted across firms and the determinants of a firms demand for wcr ii selection of wcr into selfemployment and iii how an offenders social networks impact firm hiring decisions
boosting the surface quality and geometric accuracy in laser additive manufacturing via a novel datadriven control system design

additive manufacturing has attracted the attention of industries such as aerospace and automotive as well as the medical technology sectors in recent years laser additive manufacturing technology lam has become a very promising alternative to highvalue large metal components in many manufacturing industries although major progress has been made in process development path slicing programming and material analysis a comprehensive process monitoring and control system are yet to be developed balsam project boosting accuracy of laser additive manufacturing aims to provide indepth methods models and tools of sensing and control design suitable for the lam system including technologies developed for a generic welding process using the candidate previous results on datadriven control methodology particular focus is given to the integration of sensorbased feedback control and how they could be implemented into the lam process to improve the surface quality and geometric accuracy of the final product the project concludes with different simulation and experimental results to verify the systems performance and robustness the multidisciplinary nature of the balsam project is strong involving a combination of welldeveloped control robotics laserwelding and manufacturing this proposal includes both the transfer of knowledge to the host institution and the training of the candidate in new advanced techniques results have the potential capacity to increase the use of lam in the european industries and provide room for further studies at the fundamental and applied levels this project is in line with the eu industrial strategy that aims to make the eu industry more competitive globally
point of care ultrasound for pediatric lower respiratory tract infections in subsaharan africa

imciplus is an interdisciplinary panafricaneu research partnership with emphasis on capacity strengthening and mutual learning to improve management of pediatric lower respiratory tract infections lrtithe leading cause of child morbidity and mortality in subsaharan africa ssaby working towards the adoption of point of care lung ultrasound plus into healthcare policy and routine clinical practice current integrated management of childhood illnesses imci guidelines fail to differentiate between uncommon severe bacterial infections and more ubiquitous selflimited viral illnesses inappropriate antibiotic use is thus widespread and a key driver of antimicrobial resistance equally tuberculosis cases are missed the world health organization has identified the rigorous evaluation of plus to treat children with lrti as a research priority especially its healtheconomic impacts and operational barriersincluding diverse settings within 3 ssa countries senegal south africa tanzania imciplus determines reallife health antibiotic prescription and clinical outcomes and economic cost and costeffectiveness impact of integrating plus into lrti management through a prospective randomised controlled trial combined with evidence from implementation research among 8500 children stakeholder engagement to assess acceptability and feasibility informs a codesigned implementation package with key uptake barriers explored and addressed a main barrierhealthcare provider skills gapsis innovated through aienabled automated plus interpretation imciplus generates tailored clinical decision tools integrating plus to manage lrti syndromes across a range of epidemiological and healthcare settings a comprehensive integrated translational research framework focusing on mutual learning by involving stakeholders and patients meaningfully during all evidence generation and translation stages enables adoption of research findings into policy and practice
generative understanding of ultrafast fluid dynamics

fluids are fundamental to a wide spectrum of natural phenomena and technological applications spectacular manifestations of patterns and order arise at small spatiotemporal scales from ultrafast fluid dynamics ufd initiated by focused deposition of high thermal energy causing local disruption of equilibrium violent competing fluid dynamics with extreme local state variations characterize the subsequent relaxation ufd offer a unique potential for exploration in micromanufacturing and energy conversion how can this potential be leveragedharnessed what mechanisms and inherent properties determine ufd in complex manufacturing environments how can ufd be controlled to deliver nanoparticles or microstructured surfaces with predictable properties what is the potential of employing ufd to control breakup of phase interfaces our objective is to answer these questions by decisive advances in generative computational predictions and highfidelity numerical experiments datadriven multifidelity models break the curseofdimensionality barrier identification of interpretable lowdimensional manifolds of ufd dynamics generates understanding from data transformer models produce ufd realizations without solving equations harnessing efficient sampling from these methodologies enables us to optimize ufd processes targeting applications in precision engineering developed paradigms methodologies and computational tools will be delivered to the scientific and engineering community our group has strong foundations in complexfluid physics and advanced computational methods and a strong record of successfully integrating fundamental research and technical applications our goal is to provide unprecedented insight into ufd in complex environments and to unravel the path to technical solutions leveraging the hidden potential of ufd gives access to breakthrough innovations and highimpact technologies in micromanufacturing and energy conversion
towards a systematic theory of aristotelian diagrams in logical geometry

aristotelian diagrams such as the square of opposition have been widely used throughout the history of philosophy and logic nowadays they also have several applications in other disciplines that are concerned with logical reasoning such as psychology linguistics and computer science however many of the applications of aristotelian diagrams suffer from substantial problems often due to a lack of understanding of the intricate logical properties of these diagrams consequently the tremendous heuristic potential of aristotelian diagrams has remained vastly underappreciated thus farthe overarching goal of the startdialog project is to develop a unified theory of aristotelian diagrams we will use a radically new research strategy to accomplish this goal viz developing a systematic typology of aristotelian diagrams in close interplay with a comprehensive diagram database this empirically informed typology will systematically organize all our existing and new knowledge about aristotelian diagrams similarly to the role of mendeleevs periodic table of the elements in chemistry this will enable us to clarify and solve many of the issues that currently surround the applications of these diagrams and thereby lead to a more accurate understanding of their methodological importancethis unified theory will allow us to move beyond the specific details of any given application and to study aristotelian diagrams as objects of independent interest this will constitute a major breakthrough in logical geometry ie the theoretical investigation of aristotelian diagrams however because of the widely interdisciplinary use of these diagrams the scientific impact of the startdialog project will reach far beyond the boundaries of logical geometry its results will be relevant for other philosophical logicians as well for philosophers in general and ultimately for all researchers who make use of aristotelian diagrams in their research on logical reasoning
participatory algorithmic justice a multisited ethnography to advance algorithmic justice through participatory design

ai comes with great promises but more critically it comes with demonstrated harms from racial and gender bias to discrimination wrongful arrests defamation surveillance or the extractive labor and practices required for its creation i contend that the most concerning aspect of ai is the exacerbation of existing structural inequalities and creation of new ones two prevailing responses have emerged to the social and ethical problems of ai ethicists and social scientists have focused largely on principlebased approaches and developers have focused on technical fixes for addressing problems in ai models this project speaks to an urgent gap between these approaches it centers the experiences of marginalized communities and develops interventions into ai concerns that are designed by and for those communities this project develops the novel approach of participatory algorithmic justice participatory algorithmic justice defines a concept and standards of practice for collaborative research to better understand who and what ai harms but also how these harms should be redressed the project investigates how economic cultural and political harms from ai are experienced by structurally marginalized groups through multisited intersectional ethnographic fieldwork this fieldwork informs participatory design workshops to develop specific interventions into problems identified by research collaborators this research is brought to life through an innovative combination of graphic storytelling and a publicfacing mapping platform participatory algorithmic justice brings the voices priorities and concerns of those affected by ai to the forefront of debates over what kinds of ai people want to live with tackling a critical problem of global technology justice this project is a crucial intervention for communities researchers and developers to redress ai harms
roundrobin testing for co2 electrolysis what is mightier the cell or the operational conditions

co2 electrolysis is a promising pathway to produce diverse fuels and chemicals from renewable electricity both on the fundamental research level and on trl levels around 4 6 strong activities from different stakeholders can be observed this includes universities startups such as echemicles applicant and corporates such as totalenergies or siemens energy however comparability of performances is difficult due to the lack of standardized test protocols on the one hand to push the technology to the next maturity level trl 78 substantial investments are needed on the individual project level due to high associated capex costs on the other hand the lack of thorough benchmarking and validated performances hampers further investments the development and widespread publication of a standardized and easily applicable test protocol is of utmost importance to support the scalingup of co2 electrolysis
nexasphere nexgen 3d networks spin harmonies across 6g ai and unified tnntn

the vision of nexasphere is to create a system capable of facilitating a 3d network of networks this framework seamlessly integrates multipath transmission to enhance multiconnectivity in an energysaving manner bringing together spaceborne and airborne platforms with terrestrial infrastructure the main goal is to deliver societal benefits to the future european landscape with a particular focus on mobile transportation including air mobility railway and automotive sectors smart cities and communities beyond the year 2030nexaspheres primary objective is to conceptualize and develop advanced hardware prototypes and software algorithms for a sustainable multiconnected 3d network this network will integrate radio and wirelessoptical technologies and enabling network orchestration through aidriven programmability additionally nexasphere aims to extend the edgecloud continuum into space creating a radio wirelessoptical connectivity continuum from shortrange to longrange by integrating scalable simulation models in a hardwareintheloop approach and conducting inlab and relevant environment validation nexasphere seeks to demonstrate proofofconcept for this tnntn unified network architecture targeting a technology readiness level trl of 45 these demonstrations will showcase the benefits of the proposed architecture particularly within the mobile transportation sector covering aeronautics railway and automotive industries
circulating extracellular vesicles cevs a novel nutrient delivery mechanism and therapeutic target in metabolic pathologies metev

the sensing of blood nutrient availability storage and delivery requires robust intertissue crosstalk mechanisms which for the last 70 years we have still trying to understand in health and disease when these mechanisms fail metabolic pathologies such as metabolic syndrome metsy ensue metsy is a complex entity that has emerged as a worldwide epidemic the lack of knowledge of its nature the absence of any efficient treatment and the increasing prevalence imply a major public health concern metsy is defined as abdominal obesity insulin resistance misbalance in lipid profile and high cardiovascular and diabetes type 2 risks these factors dysregulated simultaneously suggest an underlying mechanism linking all these metabolic impairments in 2019 i published an article proposing a novel nutrient delivery mechanism from blood to tissues based on extracellular vesicles evs biology since then other groups have corroborated our findings supporting the idea that as a complementation of the classical nutrient delivery mechanisms evs in circulation cevs are able to deliver metabolic fuels from blood to tissues while this new cevsbased mechanism is occurring in healthy subjects we dont know if it is falling in metsy patients or even if it is relevant enough to alter human physiopathology metev aims to study these last two concepts to address a better understanding of metabolic pathologies in particular the role of cevs in the development of metsy my main personal objective is to learn training and take advantage of cuttingedge technologies to improve the knowledge of metabolic pathologies with potential relevant implications in multiple fields of medicine this will allow forging future interdisciplinary collaborations with professionals from different areas the present msca enables the development of my own collaborative network as i will work at the hospital la fe spain with a secondment at aalborg university hospital denmark
perceptual mechanisms that support accent accommodation

understanding spoken language requires listeners to map complex acoustic input onto linguistic representations in their mental lexicons the difficulty of this process is increased by variation in the acoustics of spoken language in particular variation in how secondlanguage l2 speakers produce the sounds of a language ie foreign accents can hinder the efficiency of speech perception prior work has indicated that listeners are highly adaptable and can rapidly accommodate unfamiliar variation in accented speech but what remains unclear is how listeners rapidly adapt to accented talkers many authors have proposed that listeners may tune to accented speakers by shifting their phonemic category boundaries phonemic recalibration however attempts to directly link phonemic recalibration to accommodation of natural l2 accents have resulted in mixed outcomes an alternative perceptual mechanism that has been proposed for accent accommodation is criteria relaxation on this view when encountering an unfamiliar accent listeners relax their thresholds for accepting input as a particular phoneme lexical item and so on relatedly listeners may rely less on categorical boundaries when processing l2 accentthe primary aim of the proposed project is to improve our theoretical understanding of the perceptual mechanisms that support accent accommodation in a series of three experiments we will investigate the roles of phonemic recalibration and criteria relaxation using a combination of behavioral and psychophysiological measures specifically our interdisciplinary approach will examine shifts in phonemic category boundaries and changes to withincategory sensitivity as well as the rate and cognitive demands of lexical activation for accented items ultimately permsaa will increase our theoretical understanding of how listeners accommodate l2 accents which is a skill that can be leveraged to improve overall communication between l1 and l2 speakers