Dragon09/odtu_chatbot huggingface dataset:
twodimensional transitionmetal dichalcogenidesbased rectifier for rf harvesting

in the present day electromagnetic em signals operating within the radio frequency rf range including wifi frequencies of 24 ghz and 58 ghz and cellular telecommunication spanning from 700 mhz to 27 ghz are becoming increasingly pervasive in indoor and outdoor environments these signals constitute a prolific and continuous source of rf energy harnessing this rf energy holds great potential for powering future distributed electronics however before reaching the technology readiness level required for commercial utilization of rf harvesting numerous factors must be taken into account among these considerations the performance of diodes rectifiers is of paramount importance indeed in most cases the efficacy of the harvester heavily relies on the rectifier this component ultimately enables switchingtype conversions such as alternating current to direct current acdc conversions the most crucial parameter for assessing the rectification capabilities of a diode technology is the shortcircuit current responsivity or the voltage responsivity at zero bias in this context graphenebased rectifiers have exhibited remarkable characteristics including a zerobias voltage responsivity reaching up to 71 v1 the target rf project will continue to innovate in emerging materials and device architecture specifically it will concentrate on investigating the responsivity of emerging twodimensional 2d technologies for rectifiers particularly focusing on rectifiers based on various twodimensional transition metal dichalcogenides tmdsthis pursuit aims to enhance the efficiency of converting rf to dc power particularly in rf lowpower density scenarios target rf 24 months will be hosted at the granada university and will l be supervised by prof francisco javier garcia ruiz an internationally recognized expert in this area take advantage hence the skills of his researchers team and the infrastructure
what matters for a good life a novel approach to essential preferences skills and personal attributes

felicitas revolutionizes the way we think about preferences skills and other latent personal attributes psas estimates their heterogeneity along with its determinants and provides policy implicationspsas are key drivers of a myriad of decisions which combine to create an individuals life story differences in psas together with constraints and luck underlie inequalities in outcomes knowledge of psas is essential for policymakers to design effective public policy selfknowledge of psas is crucial for individuals to sort into occupations activities and relationships which enable them to flourishhowever unobserved psas are only noisily revealed by observed behavior i develop a decision model which separately identifies noise due to imperfect selfknowledge and endogenous effort i quantify their respective roles in different choice settings debias estimates of psas and assess their importance in essential life outcomesi use these insights along with an innovative discrete choice framework in which respondents choose between pairs of realistic life stories to provide causal estimates of distributions in preferences valuations for policyrelevant life outcomes longevity health family structure in the united states and in europe i link the estimated heterogeneity to culture demographics and other psasfinally i examine a new latent personal attribute an individuals propensity to perceive time in a distorted manner in a twist to received wisdom that time flows faster when one is engaged in a more enjoyable activity i propose that utility obtained from an activity can be inferred using differences between felt and elapsed time i conjecture that the perceived duration of a task may both be the relevant decision variable which reflects an individuals exerted effort on a task and a determinant of required hourly wages if empirically validated we obtain a cardinal measure of utility which will transform its measurement
integrating diversity in social dialogue strengthening the eus labour market in the digital and green age

integratedialogue aims to enhance the inclusiveness of social dialogue in the eu united kingdom and norway focusing on nonstandard workers nsws it addresses the need for their effective representation in the evolving labour market marked by digital and green transitions to prevent an increase in inequality inwork poverty and social exclusion the project proposes a comprehensive multidisciplinary and comparative approach encompassing multiple countries business models various forms of nsws and social dialogue at different levels the novelty of the initiative is to place nsws needs interests and motivations for representation and voice in the spotlight bottomup perspective these findings will be matched by strategies willingness and distributional costs among social partners to include nsws in social dialogue processes and how this is played out in different industrial relations and employment regimes topdown approach to investigate barriers and facilitators for integrating nsws into social dialogue we combine a social science and legal approach stakeholder engagement will be used to offer actionable insights and recommendations for policymakers social partners and other stakeholders through extensive dissemination activities including developing an open policy toolbox we will make social partners able to adjust strategies and bridge gaps between nsws and social partner the ultimate goal is to create a cohesive effective and legally robust environment that supports an inclusive and adaptive social dialogue framework ensuring that all workers are effectively represented and their interests safeguarded in the face of rapid market transformations the project comprises distinguished scholars located in eight european countries representing various industrial relations and employment regimes these scholars possesses extensive experience researching nonstandard workers and social dialogue both nationally and comparatively
metabolic antiinflammatory nanomedicines

our proposal is to create new nanomedicines for identifying antiinflammatory therapies through the optimisation of synthetic procedures we aim to control the primary sequence of the polymer the size of the nanomedicine and degradation profiles highcontent in vitro screening will be utilised to determine which formulations can most selectively target macrophages and have the strongest antiinflammatory effect to test the effectiveness of these formulations we will collaborate with specialised research groups to conduct appropriate in vivo testing using various models of inflammation
novel biomarkers of pollution in avian models paternallytransmitted epigenetic alterations in response to heavy metal exposure

with the pearl project i will investigate the role of nongenetic inheritance in the response of birds to polluted environments hosted at the university of jyvskyl and supervised by dr suvi ruuskanen a prominent figure in the field of environmental physiology this project will be the first to shed light on paternally transmitted effects of pollution in avian models its originality resides in an integrative approach to the effects of heavy metal pollution combining life history studies physiology and epigenetics applied to an experimental poultry model and to wild passerines the combination of an experimental approach and a fieldwork study will allow to 1 gauge the extent to which heavy metals can affect morphological and molecular traits in paternal sperm and their transmission to offspring and 2 validate sperm molecular traits as biomarkers of heavy metal exposure aligned with one of the key strategic orientations for greater impact of horizon europe to preserve european biodiversity pearl aims to identify novel biomarkers of pollution exposure thus bringing crucial knowledge for future research and monitoring of the impacts of heavy metal pollution on ecosystem health and for bird conservation the project will be key in advancing my career by enabling a twoway transfer of knowledge and skills with the host institution through a carefully crafted training plan and a strong emphasis on dissemination and communication with a broad panel of actors academics conservation managers nonscientific public
mobile and innovative circularity for construction products

the mobicconpro project will introduce and demonstrate a systemic circular and mobile solution in the southeast europe see region to improve the recovery and recycling of construction and demolition waste cdw the project will combine physical solutions adapted to the ground a mobile cdw treatment plant with innovative selective separation and deconstruction technologies in order to scale up both the treatment of cdw and the production and use of recycled construction materials beyond technical solutions the partners of mobicconpro are conscious of the socioeconomic drivers necessary for the transition to a circular economy therefore cornerstone of the project will be the establishment of a territorial hub for cdw through which private public and scientific key stakeholders as well as citizens will cooperate to bring circularity to the construction ecosystem in the region the innovative equipment and mobile technical solutions will be demonstrated in different environments at local and regional level in order to prove the sustainability viability and replicability of the systemic concept at a large scale moreover the project also aims to shed light on the technical and policy measures needed to improve the overall legislative framework of construction products in order to facilitate the market uptake of recycled products in line with the eus circular economy and green deal ambitions
parsing dopamines learning and motor functions

appropriate selection of situationappropriate behaviour requires both learning and motor control release of the neurotransmitter dopamine in the striatam is crucially involved in both of these processes however previous work investigated learning and motor functions of dopamine in isolation to fully understand dopamine function and dysfunction it is imperative to take both learning and motor control into account striatal dopamine release is thought to encode a reward prediction error the discrepancy between expected and obtained outcome as well as promote movement dopamine release optimises and drives behaviour by modulating the activity of striatal medium spiny neurons msns and their downstream neural pathways binding of dopamine to type1 and type2 dopamine receptorexpressing msns differentially modulate intracellular signalling cascades increasing or decreasing phosphorylation of protein kinase a pka respectively differential modulation of pka activity is thought to underlie learning and motor control ultimately driving behaviour importantly dopamines influence on msns is functionally disparate between limbic associative and sensorimotor domains and it is hypothesised that these regions differentially encode learning and movement here i aim to discern the entanglement of dopamine functions by employing a powerful behavioural task that differentiates between learning and movement while 1 simultaneously recording dopamine release in distinct striatal domains and 2 recording the activity type1 or type2 msns using a novel cuttingedge tool to detect realtime pka activity the complementary power of these innovations will enable me to drive forward the current understanding of dopamines function by combining stateoftheart neuroscience techniques elucidating the entanglement of dopamine in learning and motor control on behaviour
deconstructing the role of transcellular ion transport in organ formation and function

solute transport across epithelial cells is of vital importance for the function and development of many organs for instance the pancreas liver and intestine within the pancreas bicarbonate is secreted from the ducts in order to neutralize stomach acid in the duodenum the secretion of bicarbonate over the epithelial membrane is coupled to chloride transport in the opposite direction the mechanism of this transport is complex due to the redundancy of transporters proteinprotein interactions and multiple regulation and signaling mechanisms thus far the field relies on either bulk measurements for example using ussing chambers or studies on isolated individual proteins a more profound and quantitative understanding of epithelial transport cannot be obtained solely by either of these strategies but requires a combination of both addressing individual proteins within their native cellular environment therefore i will establish the contribution of individual transporters in epithelial chloride transport in human pancreatic duct cells by using inhibiting nanobodies to perturb the system then i will determine the plasticity and response of the cells to these inhibitions by measuring protein expression using transcriptomics and quantitative massspectrometry next i will perform quantitative chloride measurements across epithelial cells simulating inorgan conditions by changing the composition of the apical solution finally i will elucidate the role of chloride transport in pancreatic duct formation by inhibiting key chloride transporters in 3d pancreatic organoids taken together this project will yield quantitative insights into transcellular chloride transport within the full complexity of the native cellular environment
enabling sustainable combustion technologies using hybrid physicsbased datadriven modeling

at the 26th un climate change conference of the parties cop26 the reached consensus points for the need of an energy revolution in which hydrogen will play a key role especially in energy intensive industries eiis for which electrification is more challenging still current infrastructures are not ready to adopt hydrogen and other renewable synthetic fuels rsfs in an efficient safe and sustainable way encoding holds the promise to smooth the transition towards rsfs use thereby helping decarbonise eiis to do so encoding main objective is to train the next generation of digital combustion experts by offering them an innovative training programme the 10 doctoral candidates will gain multidisciplinary knowhow in sustainable fuels experimental techniques and numerical simulations of turbulent reacting flows big data analytics and machine learning and intersectoral experience academic and industrial relevant training together they will be able to create knowledge to develop a generalised hybrid mlbased digital infrastructure with the capability to solve current and future outstanding questions to decarbonise eiisthe unique training is only possible thanks to the participation of renowned academic institutions with partners specialized in combustion experiments and simulation ulb rwth cnrs cnr data analysis and dimensionality reduction upm ulb datadriven and mlbased modelling ulb rwth cnrs and different companies in the whole chain of knowledge sustainable fuels air liquid combustion systems mitis npt fuel flexible burners ws tenova pollutant remediation strategies agc ammr and cfd software converge cfd direct
add in choice optimizing students dynamic and interdependent decisions

the diversity of educational opportunities has the potential to improve the situation of everyone by providing an environment adapted to the needs and goals of all letting parents or students choose their trajectory can improve welfare as it allows them to sort into the right program using their private information on comparative advantages and preferences however personal choices are not necessarily in line with societys objectives because of externalities apart from financial externalities that are inevitable in subsidized educational systems peer effects are crucial in this context as the student composition of an educational program affects its quality furthermore from an individual perspective the right choice is difficult to make and behavioral biases or internalities are common as a result such choices are often restricted targeted vouchers open up spots for some groups of children at the cost of others grading standards prevent students from attending certain tracks or courses in high school and college admissions prevent completely free access however there is little guidance for policymakers in knowing and realizing the optimal size and composition of different options what is the right balance between choice ability and diversity requirements in school choice and tracking are seats in college programs optimally provided according to societys needs how to incentivize students to align their choices with a societal optimum this project aims to develop a methodology to empirically analyze the optimal provision of choice using novel dynamic discrete choice models that take into account externalities and internalities the objective is to apply this methodology to rich microdata from the three main levels of education school competition in primary education tracking in secondary education and admission and graduation in college
isotopes of micronutrients to trace margin sediment fluxes

copper cu nickel ni and zinc zn are essential micronutrients for phytoplankton growth and directly influence the biological carbon pump which sequesters about 10 billion tons of carbon per year thereby limiting climate warming although intrinsically linked with the oceanic carbon cycle their marine biogeochemical cycles are not fully understood the role of oceanic margins which modulate the transfer of these trace metals tms between land and ocean is critically underconstrained the overarching objective of isomargin is to characterise and quantify the fluxes of micronutrients from the sediments at the margins i will contribute to this effort by using a novel multiplemetal concentration and isotope system cu ni zn on dissolved and particulate phases suspended particles and marine sediment using both field and experimental approaches the oceanic behaviours of these three tms are distinct enough to respond differently to specific processes generating complementary information hosted by the cnrslegos i will produce the first database of cu ni zn concentrations and isotope compositions in both dissolved and particulate phases above and off two margins of the indian ocean these observations will be completed by new measurements of tm isotope signatures induced by sediment dissolution in controlled experiments the experimental data will be integrated into a thermodynamic model allowing a better description of the transfer mechanisms between the sediment and dissolved pools and thus a broader application of my findings this project is in line with the horizon europe programme priority exploring and forecasting the impacts of climate change and the geotraces programme my close involvement in the leadership and management of this project will promote me as an independent and mature career researcher in marine geochemistry the data and science products will be open source and i will share my knowledge via dedicated outreach actions
realtime growth studies of highentropy alloy thin films phase formation and stress evolution

this project aims to gain physical knowledge on the mechanisms taking place during the early nucleation and growth stages of highentropy alloy hea and highentropy nitride hen thin films hitherto only partly investigated by theoretical studies the proposed experimental investigation is a unique original approach that will rely on both the kinetics and the reactivity of the thin film growth process and will be achieved for the first time in heahen films using in situ and realtime electrical sheet resistance and optical wafer curvature nanoscale diagnostics the latter being also capable to provide reliable information on the intrinsic stress of the produced material ex situ postgrowth microstructural evaluation will be also considered as well as the film synthesis conditions prevailing on their phase formation and mechanical properties two hea that find applications in areas of importance for society will be studied the cocrfemnni and monbtavw which are archetypes of fcc and bccforming systems respectively the former is the most studied hea known for its outstanding mechanical properties even in cryogenic environments whereas the latter is an advanced refractory alloy with hightemperature strength and stability this postdoctoral fellowship will be carried out by the applicant felipe cemin under the supervision of prof gregory abadias at pprime institute host cnrsuniversity of poitiersisaeensma poitiers france
hyperdimensional modelling of the legal system in digital society

in 2018 the government of new zealand started a project called rules as code in 2020 it proposed to oecdopsi the adoption of coding methodology see cracking code report to create a macroschema of law legally binding that generates legal text in natural language it resembles a reverse engineering approach with respect to the predominant method it is backed by legal theory and ailaw literature where the digitalization of legal sources is performed from the legal provisions expressed in natural language to its formallogic representation ailaw legalxml mit stanford codex australia canada governments are investigating this new direction using language programming eg java python the intuition seems fascinating especially in the infosphere where digital artefacts eg iot smart contract ai need consumable law to take rapid decisions eg covid19 pandemic often without human intervention eg bots however such an approach can jeopardize legal heritage democratic principles institutional foundations in the context of civillaw theory and eu law human rights traditions this approach seems to neglect 30 years of ailaw literature legal theory foundations philosophy of law and language to foster a model of technocracy and efficiency as the topic calls for timely actions we aim to create a solid legal theoretical framework to allow the serialization of law in machineconsumable format while preserving legal soundness the output is a digital legal system framework hypermodelex that produces a traced process of digital lawmaking system in machineconsumable format xml rdf coding legally binding executable suitable for connected infosphere artefacts iot smart contract software bot and in the meantime explicable to human using dialogic legal design approach we need an interdisciplinary groundbreaking project to assemble various competencies different disciplines from human and computer sciences