Dragon09/odtu_chatbot huggingface dataset:
charting the token of time yaptaz transcriptional regulators at the roots of aging

a major challenge in aging research is to distinguish which agerelated alterations play a driving role and their interconnections aging ultimately implies dysregulated transcription yet the identity of signaling cascades and transcription factors that control youthfulness and aging in adult tissues remains poorly understood aging also entails maladaptive changes in how cells communicate with each other and their surrounding extracellular matrix ecm senolytics approaches have revealed the role of senescent cells as drivers of aging leaving however unclear what cell types first become senescent in real tissue and why here we aim to address and connect these fundamental unknowns into an integrative view of aging at an unprecedented spatial temporal molecular and mechanistic resolutionas preliminary results we report that aging requires decreased activity of yaptaz mechanosensors in stromal cells leading to unscheduled activation of cgassting signaling and that aging may be halted by restoring a youthful yaptazcgassting signaling balance but why do we age then building on these findings our hypothesis is that aging initiates from deterioration of our own structural frames from changes in spatialcontextual signals that cells perceive from the ecm to altered mechanotransduction and increased fragility of the nuclear envelope leading to cell senescence these processes are reversible and understanding them may reveal new routes to halt aging for this we will chart and functionally interrogate a multidimensional atlas of aging biology delving into the logics of tissue physiology and its progressive degeneration over lifetime also implementing novel methodologies our yaptaz prism offers a unique vantage point to dissect causally relevant extracellular and intracellular mechanisms of youthfulness vs aging and opens to the exploration of aging remedies to restore youthful tissue ecosystems by restoring youthful yaptaz activity
climatesmartadvisors connecting and mobilizing the eu agricultural advisory community to support the transition to climate smart farming

climatesmartadvisors is a paneuropean multiactor network covering 27 countries its aim is to boost the eu agricultural advisory community leading to an acceleration of the adoption of climate smart cs farming practices by the wider farming community within and across eu akiss to reach this objective climatesmartadvisors focuses on the crucial role of advisors in the development and dissemination of cs innovations and practices the project will organize activities focusing on strengthening the advisors capacity in providing cs advice and boosting the advisors role in the transition towards cs farming through their involvement in innovation projects csakis and eu projects and initiatives a number of complementary activities are developed to strengthen the cs advisory capacity of the eu advisory community 1 an euwide network of 260 advisory communities of practice cop to support the development of 1500 advisors will form the core of cs knowledge exchange 2 140 advisors will receive expert training on selected topics relevant for their context and for facilitating a cop 3 cops will internationally exchange knowledge on 12 thematic areas 4 a knowledge repository will provide advisors with cs tools practices and approaches developed in the climatefarmdemo project and further expanded in climatesmartadvisors 5 monitoring evaluation and learning activities will capitalize lessons learned in and outside the project activities to boost the advisors role in the cs transition include 1 connecting to local and eu multiactor innovation projects initiatives akis actors and policy makers to clarify and address joint needs challenges and lessons learned 2 the setup of codesign innovation experiments to learn on how to strengthen the advisors role in innovation processes finally to accelerate the wide spread of results an ambitious dissemination exploitation and communication strategy will be deployed at eu and national levels
measuring and mitigating risks of aidriven information targeting

we are witnessing a massive shift in the way people consume information in the past people had an active role in selecting the news they read more recently the information started to appear on peoples social media feeds as a byproduct of ones social relations at present we see a new shift brought by the emergence of online advertising platforms where third parties can pay ad platforms to show specific information to particular groups of people through paid targeted ads these targeting technologies are powered by aidriven algorithms using these technologies to promote information rather than promote products as they have been initially designed for opens the way for selfinterested groups to use users personal data to manipulate them european institutions recognize the risks and many fear a weaponization of the technology to engineer polarization or manipulate votersthe goal of this project is to study the risks with aidriven information targeting at three levels 1 humanlevelin which conditions targeted information can influence an individuals beliefs 2 algorithmic levelin which conditions aidriven targeting algorithms can exploit peoples vulnerabilities and 3 platformlevelare targeting technologies leading to biases in the quality of information different groups of people receive and assimilate then we will use this understanding to propose protection mechanisms for platforms regulators and usersthis proposals key asset is the novel measurement methodology i propose that will allow for a rigorous and realistic evaluation of risks by enabling randomized controlled trials in social media the measurement methodology builds on advances in multiple disciplines and takes advantage of our recent breakthrough in designing independent auditing systems for social media advertising successful execution will provide a solid foundation for sustainable targeting technologies that ensure healthy information targeting
structural kinetic and biophysical analysis and engineering of kitmetrnl signalling to boost heart tissue regeneration after myocardial infarction

kit a receptor tyrosine kinase is dimerized at the cell surface by the cytokine stem cell factor scf to initiate signalling pathways securing fundamental cellular processes including hematopoiesis gametogenesis and melanogenesis impaired signalling due to kit mutations or deficiency leads to various malignancies such as leukemia and melanoma however recent data have shown that kit can also initiate signalling by binding meteorinlike protein metrnl triggering unrelated stimulation of heart tissue regeneration ischemic heart diseases are the leading cause of mortality and morbidity worldwide with approximately 9 million annual deaths and over 180 million disabilityadjusted life years lost therefore revealing the molecular principles and mechanism of this completely new function of kit gives hope for new opportunities towards novel therapies that might maximize the efficiency of heart recovery after heart disease incidence however the field is currently plagued by a paucity of mechanistic details and the structurefunction relationship of the kitmetrnl complex assembly the goal of this project is to derive the structurefunction landscape of the novel interaction between kit and metrnl and to provide a blueprint for how kit can be activated by two structurally distinct protein ligands the gained knowledge will govern the rational engineering of metrnl towards improving its interaction with kit to elicit intensified signalling that can lead to amplified heart tissue regeneration this aim will be achieved by synergistically combining methods of molecular and structural biology supervisors expertise biomolecular kinetics and rational protein engineering researchers experience and single molecule biophysics secondment collectively this research endeavour will impact basic and applied cardiovascular disease research and promises to provide new possibilities for alleviating the enormous socioeconomic burden associated with these diseases
advancing sustainable textiles in the circular economy through innovative epr schemes

textile extended producer responsibility epr schemes represent a pivotal opportunity for the european union to implement circular business models and solidify its position as a global sustainability leader within the textile industry in the pursuit of this transformative goal trustex leverages invaluable insights from industrial partners and meticulous guidance from retail experts on the stakeholder board the projects primary focus is to test strategies and formulate recommendations that analyze the feasibility of epr schemes pinpointing weaknesses and proposing solutionsbased upon a robust governance foundation trustex adopts a holistic approach to cover the pivotal epr activities collection sorting reuse and recycling this multifaceted strategy is designed to identify barriers within these activities showcasing innovations that directly improve the eu industrys capacity to manage textile waste additionally trustex includes upstream solutions that while lying outside eprs activities have a direct influence on their feasibility consequently the project integrates ecodesign on new fibers and the incorporation of design for disassembly technologies additionally trustex will develop digital solutions aligned with forthcoming digital product passport and labeling regulations to facilitate garment identification and traceabilitythroughout the project trustex emphasizes continuous feedback and support from key stakeholders this engagement ensures that recommendations not only maximize their impact but also align with the needs and secure compliance of industrial partners in the final stages a robust dissemination communication and exploitation strategy will reach society consumers and endusers increasing awareness about the benefits of adopting sustainable and circular business models as a result trustex aspires to be a catalyst for positive societal impact influencing health and livelihood practices across the continent
a novel suite of technologies and an inexpensive platform based on artificial intelligence for remote access to live performing arts with an immensely improved feeling of presence

the vision of access is to create an integrated framework for remote attendance of live streamed performing arts that offers a stronger feeling of presence compared to existing live video streaming products to this end we will radically extend the latest advances in deep learning dlartificial intelligence ai we will build upon leading industrial dl capacities and we will integrate these into mature virtual reality vr technologies in a unique and innovative way specifically access will develop a virtual environment wherein users1 will be able to watch livestreamed video of performing arts processed in realtime so that the video appears more focused on areas of the video that the viewer looks at for instance a tv director usually points the camera to the person speaking however a viewer may want to look at the reactions of another actor 2 will be embodied into virtual avatars and be able to interact with a virtual companion the companion will support short discussions with the viewer both chitchat and provision of information related to the presented arts show this may be able to happen during the live streaming while waiting for it to start or at the end of it 3 will be able to interact with the virtual personas of other attendants inside a virtual foyerthese three components offer a stronger feeling of presence when attending a live show onlineto achieve this vision access pursues an intersectoral secondment program that fosters knowledge exchange between academic experts and industrial partners in the cuttingedge technological fields of ai and vr additionally the participation of an arts organization dedicated to supporting contemporary culture and digital art is crucial for the success of this project both technically as well as for implementing our communication and dissemination ambition and plans
enabling digital technologies for holistic healthlifestyle motivational and assisted supervision supported by artificial intelligence networks

h2train proposal is funded on the sixth edition of the electronic components and systems ecs strategic research and innovation agenda ecssria topics and major challenges for enabling digital technologies in holistic healthlifestyle supported by artificial intelligence ai networks biosensors for ehealth and smart tracking of sport and fitness are a class of devices that is dominating the consumer and professional market with an unprecedented growth despite the impressive capabilities of recent approaches several prospective revolutionary improvements are still open points mainly in relationship with four factors sensing new biosignals and tracking new activity patterns improving battery lifetime and energy management for continuous use and secure reliable and efficient data analysis with ai algorithms and connectivity with the ioth2train aims at advancing the state of the art in this respect taking profit from the remarkable properties and synergistic potential of onedimensional 1d and twodimensional 2d materials 1dm and 2dm enabling more sensitive efficient and miniaturized biosensing capabilities within the established cmos technology framework this will contribute to the growth of ehealth services assisted by ai and will fortify the development of internet of things iot applications in health wellbeing and digital society h2train not only facilitates digital technology but also involves the development of new 1dm and 2dmbased devices for sensing energy harvesting and supercapacitor storage these innovations serve to integrate sport and health activities into iot applications making them accessible as wearable technology h2train combines mature cmos technology products for health and sport sensing with embedded intelligence as a crosssectional technology this combination offers a broad spectrum of technology demonstrators td based on advanced sensors such as tattoo sweat creactive protein cortisol and lactate
advanced human models of the heart to understand cardiovascular disease

cardiovascular diseases cvd are the cause of the highest mortality and morbidity rates worldwide and are expected to increase in coming years leading to epidemic proportions traditional experimental in vitro and animal models are not predictive enough which hampers the emergence of novel therapies for treatment of cvd consequently there is an urgent need to establish realistic human models that lead to a better understanding of cvd providing the opportunity to identify and validate druggable targets in heart2beat i will develop innovative human heart models for mimicking cardiovascular disease i will use an innovative inair microfluidic platform for ultrahigh throughput encapsulating of human pluripotent stem cells in microgels to generate selforganised multicellular 3d human cardiac organoids that replicate the architectural design of the human heart furthermore i will integrate and develop innovative technologies from the fields of human stem cell biology and engineering to create 3d microengineered heart tissues coupled to a versatile and automated microfluidic platform enabling assessment of multifunctional analysis eg contraction relaxation metabolism morphology finally i will build a functional human miniheart with the capacity to pump fluid the main function of the human heart and then assess clinically relevant readouts in healthy and diseased conditions these firstofits kind advanced 3d human cardiac models and platforms are complementary to each other and form a highly innovative and comprehensive pipeline for modelling human cvd enabling ultrahigh throughput screening and indepth multifunctional preclinical analysis of healthy and diseased heart tissues successful implementation of heart2beat will provide insight into mechanisms of disease and will initiate a paradigm shift for personalised medicine and drug discovery leading to tailormade therapy for patients suffering from cvd
datadriven approaches in computational mechanics for the aerohydroelastic analysis of offshore wind turbines

a massive upscaling of offshore wind turbines is necessary to reach the goals of the european green deal however current methodologies for analysis and design are at their limits one of the major bottlenecks is that it is so far not possible to directly integrate experimental data into aerohydroelastic simulations of offshore wind turbines by and large including these data into the aerohydroelastic analysis is indirectly accomplished through the offline adjustment of those parameters that define instances of existing models although such a practice can reasonably improve the shorttime predictive capability the underlying models remain unmodified thus further physics available in the data remains inaccessible in the numerical simulation context this represents a main challenge to taking advantage of the experimental data in their entirety in this context datadriven offshore proposes to simultaneously integrate these highlyvaluable data into aerohydroelastic simulations through datadriven computational mechanics such an approach is one of the most advanced computing frameworks and relies on the reformulation of classical boundary and initial value problems in solid and fluid mechanics such that constitutive models boundary conditions andor applied loads are directly replaced by some form of experimental data datadriven offshore will thus enable for the firsttime investigation of the aerohydroelastic behavior of an offshore wind turbine relying truly on experimental data capturing the hidden features that these contain this will greatly improve the predictive capabilities with respect to existing models allow the conception of lessconservative designs and enable upscaling beyond 20 mw of rated power increasing the efficiency while reducing the cost per unit of power produced thus it will contribute to triggering a change of paradigm for future generations of offshore wind turbines
sociogenesis of criminal networks reconstruction discovery and disruption

europol defines criminal networks as a modern version of the hydra mythological creature with obscure genesis fluid structure and multifaceted evolutions leveraging a unique synergy between social sciences and statistics nemesis departs from current practice to translate the main obstacles ie data incompleteness and complexity underlying the reconstruction discovery and disruption of these modern criminal networks into a unique resource for crucially expanding available knowledge and policies this ambitious perspective builds on three somewhat overlooked yet fundamental observations first data missingness in criminal networks can be in fact a fundamental source of information on the structure and secrecy strategies of organized crime and as such should be embraced and not disregarded for network reconstruction second the complexity and multiplexity of covert and overt interactions among criminals may hide a wealth of yet unexplored knowledge on the formation mutation and sociogenesis of criminal networks hence invaluable for their discovery third cutting hydra heads without realistic predictions of the corresponding regeneration processes undermines not only the development of innovative lawenforcement disruption strategies but also the identification of more nuanced highvalue targets nemesis transforms these perspectives into rigorous interpretable and practicallyimpactful generative statistical models of criminal networks and introduces innovative concepts of secret criminal species covert networking activity codes and dark evolutionary trees this perspective is expected to revolutionize current practice of conceptualizing reconstructing analyzing and disrupting criminal networks while opening new avenues for the creation of frontier datarelated resources social theories lawenforcement strategies and public policies
assessing the efficacy and acceptability of timed exercise to improve glucose variability and metabolic flexibility in adults with prediabetes

being more active is an important part of treatment for adults with prediabetes exercise is one of the simplest and most effective ways to bring down blood glucose levels however lack of time is a common barrier to performing exercise regularly the highintensity interval training hiit and timed exercise are two new exercise approaches which require lesser time commitment but their health benefits are equally similar to the traditional exercise modality but whether combining both principles hiit and timed exercise could restore metabolic health in adults with prediabetes remains unknown using a mixedmethods approach the realign project aims to investigate whether performing hiit at a certain time of day is more beneficial than performing it at another time of day to improve glucose excursion profile and fuel switching whereas the secondary aim is to explore the views and experiences of adults with prediabetes on timed hiit program to achieve these aims adults with prediabetes will be randomly assigned to a 12week hiit program either in the morning or afternoon a continuous glucose sensor will be used to assess the changes in their blood glucose fluctuation profile whereas two types of calorimeters respiration chamber and ventilated hood system will be used to assess the bodys ability to switch between carbohydrates and fats as energy sources in response to feeding and fasting conditions at the end of the program some of the participants will be interviewed to explore their perceptions of the timed hiit exercise this interdisciplinary project will take place at the metabolic research unit maastricht which houses cuttingedge infrastructures in exercise and metabolism research this project is linked to key training aiming to advance the fellows competency in experimental and transferable skills to enhance professional maturity and develop independence
building gender equality through gender budgeting for institutional transformation

building gender equality through gender budgeting for institutional transformation budgetit is a threeyear project designed to use gender budgeting to transform institutions to advance inclusive gender equality and enhance the reputation inclusiveness and research excellence of the widening countries of bosnia serbia and turkey assisted by leading university counterparts in italy and spain budgetit will use of gender budgeting as a tool to move past the current stagnation surrounding gender equality geps are often implemented without the required commitment of resources and the allocation of resources often remaining unexamined with institutional budgets reinforcing gender inequalities including inequities among women the integration of gender budgeting into geps will ensure resources are distributed in an equitable and intersectional way partners will identify at least three intersections so that geps are both tailored and inclusive by the end of the project partner institutions will have produced an integrated inclusive gender equality plan and gender budget gepgb the consortium five universities and four municipalities will ensure the transfer of theory to practice and for knowledge to move beyond the walls of academia to create greater institutional and societal transformation municipalities through the provision of services impact the lives of many thousands and as such provides the opportunity to create a wider space in the public sphere for gender equalityall three of the projects widening country partners struggle with rising tides of antigender and ethnoreligious nationalism the slow mainstreaming of these antigender and nationalist discourses pose a threat to gains made towards equality and budgetit represents an opportunity to reinforce and support institutionalisation and implementation of intersectional gender equality measures including a gender budget to ensure equity in the use of resources