Dragon09/odtu_chatbot huggingface dataset:
15th setplan conference 2021

the setcon 2021 proposal aims to successfully organize and hold the 15th edition of the european strategic energy technology plan conference and by its means to contribute to the goals of the set plan as it is outline on the horizon europe work programme 20212022 climate energy and mobility the european strategic energy technology plan setplan was established to accelerate the transformation of the european energy system and to bring new lowcarbon energy technologies to market it identifies actions for research and innovation throughout the whole innovation chain setplan conferences offers an unique opportunity for decisionmakers researchers and stakeholders to get together and evaluate the progress made towards achieving the setplans goals and for informing the general public about the activities and get their support under the tittle research innovation to deliver a just and sustainable energy transition present edition will also serve to present slovenia as an engaged contributor to the setplan priorities the conference will take place in ljubljana on 2526 november 2021 and will be coorganised by the republic of slovenias ministry of infrastructure as entity responsible of all activities on energy policies during the time of slovenian presidency of the council of the european union in coordination with the european commission dgs research and innovation ri energy ener and the joint research centre jrc
a toolkit for dynamic health impact analysis to predict disabilityrelated costs in the aging population based on three case studies of steelindustry exposed areas in europe

the environment is one of the most crucial determinants of health the global burden of disease report estimates an emerging impact in terms of disability and reducing the quality of life worldwide particularly for the aging populations one of the root causes of this decline is likely to derive from the interaction of socioenvironmental risk factors and subclinical conditions and the consequent increase of the primary noncommunicable disease dementia copd cerebrovascular and chronic ischemic heart diseases the multidimensional nature causal pathways of these interactions are still mostly unknown in this complex scenario where the relationship between exposure and outcomes is so different and multifaceted the health impact assessment hia process is the standard tool that provides an overview of the matter from the screening of health risk factors to the introduction of new health policies and the monitoring of effects a complete digital approach for hia that could dynamically adapt to the variability of the determinants and their interaction is still poorly investigated artificial intelligence algorithms offer innovative and highperformance possibilities for hia implementations improving elaboration and resizing of complex information and data this proposal aims to develop a technological toolkit for dynamic intelligent hia toolkit to predict the health impact of healthrelated features forecasting the trajectories of disability and quality of life reduction this method will use environmental socioeconomic geographical and clinical characteristics managed and elaborated with a federated learning architecture the generated models will be adjusted for lifestyle and individual conditions data sourced from large populationbased digital surveys the models will be trained and validated on three different exposures to the steel plants pollution taranto in southern italy rybnik in poland and flanders in belgium
artificial intelligence experimentation facility for the energy sector

aieffect will establish a european testing experimentation facility tef for developing testing and validating ai applications in the energy sector it will be distributed across nodes virtually connecting existing european facilities the solution includes a digital platform leveraging european building blocks for interoperability flexibility and scalability aieffect aims to be a central hub for testing energy sector ai algorithms fostering collaboration across utilities industry academia and regulatory authorities resilience is ensured through a decentralized design aligning with the eu energy data spaces frameworkthe project involves developing 4 use casesnodes addressing key energy challenges focusing on district heating transmission congestion management ders integration and energy communities the framework involves utilities proposing challenges vendors developing algorithms and researchers contributing solutions each use case has evaluation criteria baselines and benchmarks ai certification procedures including interpretability and verification will be implemented and the evaluation process will be automatedbenchmarks and certifications are publicly available encouraging opensource contributions the project breaks sector barriers leveraging existing infrastructures and technologies for crosssectoral collaboration the platform enforces policies for data quality integrity and privacy promoting controlled data sharing and collaboration secure apis ensure controlled interactions including risk and security assessments the consortium explores certification standardization and quality requirements in line with the eu ai actgovernance and business models for the enduring aieffect will be examined considering the eu ai act the consortium aims to make aieffect a sustained business beyond initial funding seeking input from members other tefs and regulatory authorities for the preferred model
control of body weight by specialized brainadipose loop neurons

disruption of energy homeostasis can lead to obesity a major health issue worldwide therapeutic efforts to reduce adiposity are nullified by metabolic adaptations the mechanisms underlying these phenomena are unclear precluding efficient intervention although it is well established that important hormonal factors control adiposity it is less appreciated that fat white adipose tissue wat is innervated by sympathetic and sensory fibres forming with discrete brain nuclei loop circuits these circuits are wellpositioned for enabling watbrain bidirectional nonhormonal communication yet they remained uncharacterized this project will uncover the brain circuits processing sensorysympathetic homeostatic control of body weight using labelling tracing strategies of the wat i will identify the brain areas containing loop neurons i will interrogate their role in regulating body weight and processing watderived inputs using cuttingedge and complementary singlecell imaging and transcriptomic analysis complementarily i will functionally manipulate using opto and chemogenetics tools the activity of loop neurons and their brainwat outputs in lean mice mimicking activity changes in obesity and assess systemwide effects on behavior metabolism and body weight my expertise in both central and peripheral systems gives me a unique perspective to address these fundamental questions uncovering the role of nonhormonal watbody communication in the regulation of energy homeostasis will revolutionise our understanding of weight regulation in health and disease this project will identify new molecular targets to develop better therapeutic strategies for obesity while also creating a platform for synergy between brain circuits and body organs facilitating a host of future advances and new research directions
nonuniform programmable integrated photonic waveguide meshes

programmable integrated photonics pip is an emerging new paradigm that aims at designing common integrated optical hardware resource configurations capable of implementing an unconstrained variety of functionalities by suitable programming the work carried out within the advanced grant ercadg2016741415 umwpchip of which i was the principal investigator allowed me to lay the foundation for the first technical stages of a novel revolutionary concept the field programmable photonic gate array fppga developed in the context of a proofofconcept grant ercpoc2019859927fppas currently the core of the processor is a uniform 2d programmable photonic waveguide mesh formed by replicating hexagonal unit cells this layout suffers from limited flexibility in the spectral period and sampling time values the challenge is to develop and demonstrate solutions that overcome these limitations and which can be easily incorporated into existing mesh designsin npmesh i aim to demonstrate and validate the concept of nonperiodic programmable photonic integrated waveguide meshes formed by embedding defect cells into the otherwise uniform 2d hexagonal mesh including defect cells solves the problem of spectral period limitation through the exploitation of the vernier effect as well as the as the sampling time resolution limitation of the uniform waveguide mesh my working roadmap will include 1 carrying out the required research activities linked to the development of the proposed technical concepts 2 validating them through outsourced chip fabrication in an external foundry followed by measurement and characterization experiments carried out in my lab at upv 3 generating the new intellectual property rights iprs for the new results via patent writing and application and transferring the new ipr to the spinoff company ipronics which i cofounded three years ago with the help of ercpoc2019859927fppas
a semantic 3d energy model for prosumer with integrated photovoltaics systems

to achieve the eus green transition goal buildingintegrated photovoltaics bipv is widely adopted however the efficiency of most bipv systems is limited as they primarily utilize the rooftop space of buildings using both the rooftop and facade surfaces of buildings can improve the surface utilization of bipv systems but it also poses new challenges including the heterogeneity and incompleteness of sensor data for semantic 3d reconstruction of buildings various unstable factors affecting bipv design and layout and the necessity to coordinate and integrate bipv systems with other energy systems this project aims to develop a semantic 3d energy model s3em for bipv systems which leverages multimodal data to construct accurate 3d representations of solar radiation and electrical potential across building surfaces enabling the optimal placement of bipv components and their smooth integration with other energy systems to achieve the research goal this project proposes three work packages including1 constructing highprecision and complete 3d semantic models of buildings by leveraging the complementarity of multimodal data 2 optimizing the design and placement of bipv components on building surfaces by considering multiple factors 3 integration and coordination of bipv systems with other energy systems using multiagent reinforcement learning methods s3em specifies the resources needed for this project including the quality and capacity of the host mentors data and experimental facilities this project will enhance the scientific skills and innovation capability expand research horizons and establish research collaborations of the applicant a twoway knowledge transfer approach in energy big data building modeling and energy system analysis is proposed to ensure benefits between the applicant and the host s3em will make a significant contribution to the state of the art in renewable energy production forecasting and the eu climate goals
organ and mutation dependencies shaping the tumor microenvironment

tumors are ecosystems in which cancer cells interact with diverse cell populations in each such ecosystem environmental conditions cellular compositions and paracrine signaling create a distinct tumor habitat how much the composition of the habitat is dictated by the organ versus specific mutations in the cancer cells is unknown if different organs and mutations have common microenvironmental design principles one could devise more general therapy otherwise therapy must be mutation and organ specific to approach this we will focus on major cancer mutations in brca12 and on the four organs where brca mutations drive cancer breast ovary pancreas and prostate we will dissect microenvironments of brcadriven cancers in these organs using a wide arsenal of imaging sequencing and molecular tools building on our recent discovery of distinct cancerassociated fibroblast caf compositions in brcamutated breast cancer to untangle complexity we will establish a new approach to calibrate mathematical models on exvivo cocultures and use it to identify testable targets first we will define the configuration of caf subsets in the four organs comparing brcamutated to brcawt human tumors aim 1 to unravel signaling loops common and different between organs we will explore fibroblast dynamics in normal tissues and their diseased counterparts by exvivo cocultures and mathematical modeling aim 2 we will leverage this knowledge to design caf inhibitors and combine them with brcaspecific therapies in cocultures and preclinical models to address a major unmet clinical need to exploit caf vulnerabilities for cancer therapy aim 3 this program provides a conceptual paradigm for understanding the principles of tumor microenvironment habitats using brca as a testcase and four organs of clinical interest as model systems this paradigm will be directly applicable to the major mutation classes and organ environments of cancer
a social normative model of solidaritybased collective action mobilising support for indigenous rights through social media

indigenous rights groups have become increasingly active worldwide mobilising support for indigenous rights movements aligns with a key un sustainable development goal 10 reduced inequalities this fellowship aims to elucidate how support for indigenous rights movements can be mobilised among the public by capitalising on the influences of social norms and the ease at which they are spread through social media platforms though social media can be a tool for mobilisation little is known about the psychological impacts of perceiving messages of solidarity online in this fellowship i will expand my expertise on social norms by examining whether and how these normative messages influence advantaged groups engagement in indigenous rights movements and how these messages impact the indigenous groups themselves i will employ innovative experimental and longitudinal methods to illuminate how different normative messages facilitate different psychological motivations for solidaritybased collective action i will draw on my current expertise in attitude networks to examine the issue from a novel perspective and transfer these skills to my tc host i will gain skills in social media analysis and longitudinal data analysis which are vital for the research programme and which i will transfer to my eu host the impact of this research will be enhanced by utilising a multigroup and multicontext approach comparing findings from advantaged groups and disadvantaged indigenous groups across chile and ireland this fellowship will expand the psychology of social movements by presenting a novel normative approach to solidarity findings will assist mapuche and mincir rights organisations in chile and ireland respectively in understanding how framing of social media campaigns can better mobilise public support knowledge gained through this fellowship will be pivotal for the growth of my career as a leading researcher addressing injustices facing minorities in society
effective random methods in discrete mathematics

the probabilistic method pioneered by paul erds can show the existence of combinatorial objects without hinting how to construct them effectively recent developments concerning the constructive version of lovsz local lemma lll showed how to modify the probabilistic method to make it effective this proposal lists four research directions in analysis combinatorics and cryptography where this method opened new possibilities to go beyond our present knowledge1 the measurable version of lll is the question whether the object guaranteed by lll can additionally be measurable in some special cases the answer is in the affirmative what are the constraints which guarantee measurability and when is it impossible to achieve this results are relevant for classical problems of measure group theory2 a novel approach improving the celebrated sunflower lemma also uses effective probabilistic tools we will use a similar approach to improve the best estimates for multicolor ramsey numbers schur numbers and to explore a number of other classical problems3 several new phenomena arise in extremal graphs when either the vertices or the edges are linearly ordered to investigate them we use methods from effective probabilistic sampling the answers would be relevant in discrete geometry algorithm design etc4 an emerging phenomenon in certain cryptographic primitives including secret sharing will be addressed relaxing the strict requirements of correctness by allowing negligible errors can lead to significant improvement in efficiency it is a direct consequence of the mostly unknown structure of the boundary of the entropy region using tools and results from the other parts of the project we will explore this boundary giving hints for why and tools for where and when such efficiency gaps might occur
innovative tools to control organic matter and disinfection byproducts in drinking water

intodbp will create innovative tools and strategies to improve water quality management for safe human use and a healthy environment it focuses on catchment protection and forecasting transformative drinking water treatment and realtime monitoring to combat the effects of climate and global change in particular intodbp focuses on pollution and risks related to disinfection byproducts dbps by developing and applying advanced integrated and costeffective sensors and analytical methods intodbp will expand knowledge on water quality and dbp precursors to better understand its formation and human exposure in europe intodbp monitoring results will feed into numerical forecasting tools to predict source water changes and formulate climate change adaptation pathways at catchment and treatment scale intodbp also develops transformative options for advanced and costeffective upgrade of water treatment and disinfectionin the intodbp consortium researchers small and large enterprises communication experts and public services join forces to generate interdisciplinary solutions that will generate a renewed perspective of drinking water surveillance support decisionmaking and governance and increase system resilience intodbp will implement and validate its crosscutting products in four complementary case studies from three european countries where compliance with dbp regulation currently is an acknowledged challenge the direct and visible positive impact of intodbp in the case studies will foster rapid product adoption at a european and global scale thus strengthening europes position and role in the global water marketreaching out beyond the water sector itself intodbp will directly engage society through surveys to analyse exposure to dbps collect data about catchment protection initiatives create awareness and promote sustainable consumer behaviour such as reducing bottled water consumption
surrealism as multicultural experience the transatlantic bonds of the surrealist group and the selfreevaluation of latinamerican and european cultural identities

by studying a set of surrealist cultural journals edited during the 1930s and 1940s multisurrealism will examine the intercultural exchange between surrealist latin american and european artists and writers to analyze the way their ideas agreements tensions and debates had an impact on the revalorization of the latin american artistic and symbolic production as well as on the understanding of european civilization with an interdisciplinary approach literature studies visual arts studies graphic design discourse studies history of ideas the research will focus on the literary and artistic production of the surrealist multicultural network as it has been manifested in magazines such as minotaure paris 19331939 vvv new york 19421944 dyn coyoacn 19421944 el uso de la palabra lima 1939 las moradas lima 19471949 mandrgora santiago 19381942 and leitmotiv santiago 1942 the overall hypothesis states that the surrealist multicultural relation promoted a different glance over latin american culture since the assumption that latin america is a land where surrealism arises naturally belongs to an ethnocentric perspective constructed by both european and latin american surrealists still it simultaneously allowed them to question the assumed subordination of latin american culture giving a new shape to its identity and influencing its literature until the rise of the latin american boom the project aims to connect different archive materials to analyze what this movement wanted to express and also its unintentional effects and underlying meanings to study its impact as a multicultural group the final goal is to broaden the perspective about surrealisms role in the latinamerican culture of the xx century which promoted transatlantic bonds that have enriched both cultures and opened them to the world this plan will be developed at universitat pompeu fabra under the supervision of dr domingo rdenas de moya
play to learn ludic video games and interactive experiences to improve critical and computational thinking skills

this project investigates the use of primarily ludic video games and interactive experiences aimed at transferring skills within the critical and computational thinking skill sets eg literacy numeracy using gameplay as opposed to presentation this niche of products is underresearched compressed between serious games and purely ludic games and suffers from a lack of systematic design and evaluation guidelines the main objective is to define a framework of design and evaluation principles for the development of video games and interactive experiences with education and skill transfer in mind and to explore the role of ludic technologies in education i will design develop and experimentally evaluate a series of video games and interactive experiences based on specific skills drawn from the critical and computation thinking skill sets i will engage with domain experts in the chosen skills to identify the best ways of transferring these skills through gameplay the design process and evaluation methodologies will contribute to the the definition of a framework of design and evaluation principles main objective which i will publish at the end of the project throughout the project i will publish results from the individual design and experimental phases i will create a network of industrial partners ie video game developers museums and cultural institutions for commercial exploitation and potential future collaboration this project is relevant because it addresses the social problem of improving numeracy and literacy skills through the frameworks of critical and computational thinking which is part of the eus policy in the field of adult learning the use of ludic video games and interactive experiences broadens the target audience to include younger demographics thus potentially delivering a larger impact that could have longterm effects on an engaged individuals education and wellinformed participation in public life