Dragon09/odtu_chatbot huggingface dataset:
local and systemic mechanisms for metabolic inflammation chronicity

chronic inflammation underlies several diseases and is a common basis of multiple comorbidities in obesity chronic inflammation of the adipose tissue at and liver contributes to the metabolic syndrome and related metabolicinflammatory pathologies here we propose a thorough and innovative approach to revolutionize understanding of metabolic inflammation chronicity we will address both local at the respective tissue level and systemic mechanisms involving the novel principle of trained innate immunity tii and inflammatory adaptation of the bone marrow bm i local in chronic metabolic inflammation there is an imbalance between chronic accumulationactivation of inflammatory cells and resolution of inflammation roi in favor of the former based on our recent findings regarding integrindependent chronic macrophage retention in the obese at and that developmental endothelial locus1 promotes roi we will here identify novel pathways towards counteracting chronicity of metabolic inflammation and facilitating its resolution and test their therapeutic efficacy ii systemic systemic metabolicinflammatory feedback to the bm may trigger longterm adaptations of hematopoietic progenitors fueling a feedforward loop of perpetual inflammation following our discovery that tii is initiated in the bm we will pursue the hypothesis that maladaptive training of bm progenitors in obesity facilitates metabolic inflammation chronicity via generation of myeloid cells with higher potential for tissue accumulation and inflammatory activation and promotes development of obesityrelated inflammatory comorbidities despite apparent links local and systemic mechanisms are mostly studied independently of each other rather than through an integrative approach which will be followed here for the first time our proposal will lead to breakthrough concepts in metabolic inflammation chronicity and to novel therapeutic strategies for metabolicinflammatory pathologies
personalized priors how individual differences in internal models explain idiosyncrasies in natural vision

in the cognitive and neural sciences the brain is widely viewed as a predictive system on this view the brain conceives the world by comparing sensory inputs to internally generated models of what the world should look like despite this emphasis on internal models their key properties are not well understood we currently do not know what exactly is contained in our internal models and how these contents vary systematically across individuals in the absence of suitable methods for assessing the contents of internal models the predictive brain has essentially remained a black boxhere we develop a novel approach for opening this black box focusing on natural vision we will use creative drawing methods to characterize internal models through the careful analysis of drawings of realworld scenes we will distill out the contents of individual peoples internal models these insights will form the basis for a comprehensive cognitive neural and computational investigation of natural vision on the individual level first we will establish how individual differences in the contents of internal models explain the efficiency of scene vision on the behavioral and neural levels second we will harness variations in peoples drawings to determine the critical features of internal models that guide scene vision third we will enrich the currently best deep learning models of vision with information about internal models to obtain computational predictions for individual scene perception finally we will systematically investigate how individual differences in internal models mimic idiosyncrasies in visual and linguistic experience functional brain architecture and scene explorationour project will illuminate natural vision from a new angle starting from a characterization of individual peoples internal models of the world through this change of perspective we can make true progress in understanding what exactly is predicted in the predictive brain
mechanomodulation of tumor microenvironment with mechanotherapeutics and sonopermeation to optimize nanoimmunotherapy

inefficient drug delivery to tumors can reduce dramatically treatment efficacy and thus affect negatively the life of cancer patients this is particularly evident in desmoplastic cancers where interactions among cancer cells stromal cells and the fibrotic matrix cause tumor stiffening and accumulation of mechanical forces that compress tumor blood vessels indeed in subsets of pancreatic cancers and sarcomas 95 of intratumoral blood vessels may be compressed and up to 80 totally collapsed leading to reduced blood flow hypoperfusion and drug delivery hypoperfusion also leads to hypoxia that helps cancer cells evade the immune system and increase their invasive and metastatic potential use of mechanotherapeutics and ultrasound sonopermeation are two mechanomodulation strategies that separately have been employed to treat vascular abnormalities in tumors even though these strategies have reached the clinic their promise has yet to be realized by cancer patients owning to limitations of the methods my hypothesis is that these strategies can uniquely complement each other and have not only additive but highly multiplicative synergistic effects on modulating the desmoplastic tumor microenvironment and improving the efficacy of the promising but still of limited use nanoimmunotherapy however it is crucial that specific guidelines should be developed to achieve this groundbreaking goal i will employ a mixture of cuttingedge computational and experimental techniques i will perform in vivo mice studies in pancreatic cancers and sarcomas to investigate under what conditions these mechanomodulation strategies can be optimally combined to improve treatment efficacy prevent metastasis and increase survival in parallel i will develop new mathematical models to provide useful guidelines for optimizing the experimental protocol mmscancer will introduce novel therapeutic strategies for the treatment of drug resistant tumors leading to better therapies
states practice of human rights justification a study in civil society engagement and human rights through the lens of gender and intersectionality

human rights justifications hrj are when states use human rights to justify decisions human rights regimes operate on the presumptions that only individual persons can be in possession of human rights the regulatory gaps occurring when the states use hrj for their actions are twofold one in the regulation of the states use of hrj and one in the individual human rights protection when states use hrj this activity is not regulated by any international regional or national regime in other words significant and important gaps in human rights regulations has now been identified which this project seeks to address we will develop a theory of hrj and a process for systematic ongoing civil society engagement odcse as a tool for a gender and intersectional inclusive civil society engagement through odcse we will identify gaps in human rights regulations and protection serving as underpinning data for our recommendations to eu in support of a multinational human rights system and promotion of transnational democratic governance odcse will also help us identify geopolitical elements that influence states use of hrj this will be done through 5 countries sweden finland taiwan india and ukraine through three actions human rights dialogue inclusive democratic participations and protection of human rights defenders and operationalised through three themes covid migration and climate
countering crime and terrorism and their links to transnational illegal activities by fostering international cooperation

avalanche vision while technological solutions for investigations and global cooperation do exist they are mostly fragmented and myopic focusing on providing very narrow and isolated functions within their own boundaries without ensuring interoperability and international cooperation to alleviate the limitations of existing solutions avalanche aims to make transformative steps towards the development of a highly innovative holistic multidisciplinary hightech and versatile solution for significantly increasingbroadening the operational capabilities of leas in their struggle to detect analyse track investigate and prevent crossborder illicit activities of highrisk criminal networks migrant smuggling firearms drugs child exploitation terrorism cyber and intellectual property crime coordinated through the digital world building on pillars i and ii the avalanche platform will offer tools for semiautomatic collection of evidence to foster explainable investigations and reasoning through intelligenceled methods and contextualaware gleaning of actions also building on pillar iii the avalanche platform will provide interoperable systems and interconnection with national and international databases through common standards data and schemas alignment and mediation to foster information exchange and international cooperation to guarantee the wide smes solutions adoption by the actual practitioners avalanche will produce training curricula benchmark with europols innovation lab contribute to leas operational standards and establish a broad ecosystem of crimerelevant stakeholders and complement its objectives by continuously receiving guidance from the eu policy instrument empact finally avalanche will validate the integrated platform through a demonstration in diverse business scenarios of hp that cover key operational domains from crossborder illicit activities to antisemitism and more with notable societal and market impact
bresonance algorithm using rare decays

the standard model sm of particle physics provides a cogent yet incomplete description of matter and its fundamentalinteractions many theories aim to describe particles and forces beyond the sm of particle physics but after ten years of data taking atthe large hadron collider lhc and hundreds of experimental measurements only one deviation from the predictions of the sm hasbeen observed the standard model sm of particle physics provides a cogent yet incomplete description of matter and itsfundamental interactions many theories aim to describe particles and forces beyond the sm of particle physics but after ten years ofdata taking at the large hadron collider and hundreds of experimental measurements only one deviation from the predictions of thesm has been observed in a series of semileptonic decays of bmesons b anomalies it is undeniable though that the third generationof fermion families have a special role in the sm and beyond and their study represents the pathway towards accessing new particlesand forces taking into account the current exploitation of lhc data and the constraints set to new particles and forces in recentyears it is time to devote greater scientific focus to the search for new light particles that specially couple to third generation quarksthese particles might be within reach of the lhc but havent been discovered yet due to experimental limitations triggers bard isa new experimental technique that overcomes the limitations of light particle searches and provides a new way of performing dataanalysis searches for these particles bard will achieve this goal by advancing highmomentum resonance search methods usingtools specific to the lowmomentum bphysics field in order to increase the available dataset and sensitivity for dibjet resonanceparticles bards innovation exploiting the full lhc run3 datataking will provide a concrete chance atdiscovering these new particles
waste recovery through the production of nanoparticles and biogas

smallops has developed a process for the production of biogas and zerovalent iron nanoparticles encapsulated in a carbon matrix ops through hydrothermal carbonization htc as a synthesis method applied to vegetable water this process results in ops with improved characteristics compared to the reduced iron nanoparticles currently produced on the market complying with the principles of green chemistry and at the same time reducing the cost of synthesis all this within a framework of circular bioeconomy of 0 wastethe application of its process is therefore the synthesis of nanotechnology products ops from waste generated in the olive sector and its application in biogas production processes with the aim of 1 valuing waste from the agroindustrial and livestock sectors 2 optimizing the production and quality of biogas produced from said residues and 3 valuing the digestate obtained as a highquality fertilizer for application in cultivated soilsby means of this call smallops intends to develop a project with which to scale the growth of its company under the fulfillment of the following objectives facilitate the entry of smallops into potential clients by establishing a mutual collaboration relationship from which both parties benefit develop autonomy to offer pilots to any type of client regardless of their size and the facilities available obtain metrics using mixtures of different types of raw material making it easier to go to other biogas plants that use mixtures similar to those of the olive sector being able to skip the initial testing phase and converting them directly into customerso4 ensure the development of the business in the medium term adapting and consolidating the business plan and the companys growth strategy based on future technological developments
democratising digital farming through tailored open source and open hardware solutions

the last decade has seen an explosion of interest and investment in the use of agricultural digital technologies adss the use of adss is seen by many as an opportunity to increase the economic and environmental performance of the agricultural sector despite great efforts and resources spent uptake of adss by eu farmers has been limited for reasons like a the frequently excessive cost of adss b the low trust that farmers have on adss and data sharing for a variety reasons and c the weak network connectivity problems experienced by farms in remote areas which affect the performance of the ads the overall aim of the openagri project is to democratise digital farming by enabling the development and deployment of innovative costeffective energyefficient os software and open hardwarebased adss that can operate at a high performance even in remote areas with weak connectivity this will be achieved by a ensuring the cocreation of adss by engaging farmers and farm advisors in participatory prototyping activities inspired by the makerspaces approach and b providing access to a number of reusable os software services designed to support the edge and mixed computing mode and a sociotechnical infrastructureusing a multiactor approach openagri will involve farmers adss providers farm advisors and scientists in 14 sustainable innovation pilots sips in 10 countries across europe and guide them in cocreating and piloting edge cloud and mixedmodel adss addressing important challenges of agricultural production 5 sips have been preselected and 9 more will be awarded through an open call enabling a dynamic response to a changing policy and technology landscape finally building on a thorough analysis of eu agriculture and the results from the sips openagri will create a decision support tool that will allow policy makers farmers and farm advisors to select the best possible cloud edge or mixed adss for any given set of conditions
transforming forest management for multiple ecosystem services and nature conservation via the integrative approach

the overall objective of transformit is to demonstrate and improve the effectiveness of integrative forest management ifm to combine productive forestry and biodiversity conservation by integrating existing practical and scientific knowledge and to stipulate collaboration and mutual learning amongst science policy and practice transformit will lay the basis for larger scale implementation of ifm through proactive engagement with wellestablished networks such as the integrate network and a corresponding chinese consortium capitalizing these networks tranformit will a create a stakeholder engagement platform for intensive collaboration mutual learning and sharing of knowledge among conservation and forestry bodies forest managers forest owners research institutions certification bodies and other interested stakeholders to exploit synergies and minimise tradeoffs in forest management b promote ifm though the establishment of seven living labs that serve as role models to spread ifm across european regions c create a set of practical ifm recommendations and evidencebased guidelines for upscaling and addressing multiple possibly conflicting objectives of forest management d update demonstrate and verify ifm actions to help achieve eu forest policy targets as part of the eu green deal biodiversity strategy and the eu forest strategy 2030 e demonstrate approaches for the diversification of ifm methods and appropriate use with a strong involvement of practitioners f demonstrate the active use of decision support tools dsts and forest modelling as well as innovative technologies to address effects of different forest management approaches on the provision of ecosystem services and effects of climate change on forests g apply contextdependent and siteappropriate participatory multistakeholder and interdisciplinary methods
use of extremophile helianthus species to mitigate climate change impact on feedstock and ecosystem services provided by sunflower

climateresilient sunflower crops can help to reduce the eu dependency on imports of vegetable oils and proteins shifting towards sustainable alternatives to mitigate the impact of agricultural production on water use and greenhouse gas emissions to grow resources for pollinators and to promote biodiversityhelex will generate the knowledge and use innovative tools to accelerate the breeding of sunflower varieties adapted to extreme drought and heat stresses while improving their environmental impact and assessing their socioeconomic value of the resulting innovations along the value chains helex will thereby consider two related groups of traits increasingly impacted by climate change ie the ecosystemic service to pollinators and seed quality for this helex brings together scientists smes and industries representing an international consortium of experts in sunflower ecology physiology and genomics plant biotechnology and breeding pollinator biology and ecology environmental impact assessment and feedstock processing and socioeconomic assessment at different scalesthis helex multidisciplinary consortium will explore the genetic and molecular processes involved in tolerance to drought and heat in wild extremophile helianthus species and identify favorable wild alleles introgressed into cultivated sunflower for seed quality and pollinator attractiveness resilience wp1 these processes will be transfered using classical markerassisted selection and innovative genome editing approaches wp2 and the environmental and biodiversity impact of these new climatesmart sunflowers assessed wp3 helex will investigate the socioeconomic impact and benefits in relevant value chains for different feedstock wp4 our communication strategy wp5 will engage a variety of societal stakeholders to ensure feedback and enhance project progress and outcomes and make transparent the broader dimensions of plant biotechnology biodiversity and benefit sharing
sustainable exploration and biodiscovery of novel products and processes from extreme aquatic microbiomes to expedite the circular bioeconomy

microorganisms thriving in extreme environments are a largely untapped reservoir of enzymes chemicals and pharmaceutical compounds their unique metabolic pathways and regulatory mechanisms enable them to survive under harsh conditions and represent invaluable resources to produce innovative bioproducts offering solutions to address challenges that conventional model organisms cannot however extremophile microorganisms remain remarkably underutilized as providers of biobased solutions sampling extreme environments screening identifying and isolating the pertinent microbes is cumbersome costly and imposes a significant environmental footprint resulting in low yields elevated costs and extended times to market developing innovative methodologies is imperative to surmount these barriers in the study of extremophile microbiomes and to leverage their capabilities for ecological and economic benefits xtream will unlock the potential of aquatic extremophiles for the discovery of enzymes drugs metabolites and chemicals by interdisciplinarily developing innovative tools to facilitate rapid efficient and sustainable exploration of extreme microbiomes heralding a new era in the industrial application of extremophiles the expected results of xtream include discovering microbes enzymes resistance genes and biosynthetic clusters with a hybrid workflow of in silico and microfluidicsbased discovery resulting in the commercialization of eg 200 enzymes for biocatalysis and biorefining 3 new solutions for antifouling increasing the revenue of our industrial partners by ca 10 xtream assembles 5 leading european smes 4 academic teams and 4 rtos that have pioneered approaches in functional metagenomics extremophiles microfluidics microbial ecology and synthetic biology diverse xtream partners from synthetic biology to ingredients at different stages in the researchtomarket process provides a unique opportunity for broad value creation
ondemand communication between fluorescent organic nanoparticles through energy transfer

in situ and realtime detection of analytes in complex biological media requires the development of robust and sensitive biosensors in this context the interdisciplinary comet project will develop innovative optical biosensors based on communicating nanoparticles nps whose response is modulated by the presence of opioidsto date robust interparticle communication between opticallyactive nps has only been described with inorganics involving either electron or resonance energy transfer despite their excellent optical properties inorganic nps raise environmental and biocompatibility concerns with respect to their toxicity or colloidal stability in that regard fluorescent organic nanoparticles fons are an interesting alternative fons are composed of organic dyes condensed in a small volume and engineered to display intense absorption and excellent brightness the optimal arrangement of spectrally complementary fons acting as synergistic energy donors and acceptors will address the critical challenge of achieving communication between nps and signal amplificationto meet this goal comet will reinvent the classical fons elaboration by investigating the selfassembly of dedicated dyes concomitantly with a biological recognition moiety in water spectrally relevant fons will be associated into nanoconstructions in which a donor and an acceptor fon are brought together to enable energy transfer i will then design stimuliresponsive biosensors based on the triggered disruption of these nanoassemblies by an analyte particularly opioids the detection of nanomolar traces of opioids will be achieved thanks to signal amplification through cascade energy transfers within and between fonssuch communicating nanotools will provide the next generation of continuous ratiometric biosensors in addition they will open the way to a new paradigm in excitation energy migration and impact other research fields such as optoelectronics and nanomedicine