Dragon09/odtu_chatbot huggingface dataset:
optimizing for generalization in machine learning

recent advances in the field of machine learning ml are revolutionizing an evergrowing variety of domains ranging from statistical learning algorithms in computer vision and natural language processing all the way to reinforcement learning algorithms in autonomous driving and conversational ai however many of these breakthroughs demonstrate phenomena that lack explanations and sometimes even contradict conventional wisdom perhaps the greatest mystery of modern mland arguably one of the greatest mysteries of all of modern computer scienceis the question of generalization why do these immensely complex prediction rules successfully apply to future unseen instances apart from the pure scientific curiosity it stimulates i believe that this lack of understanding poses a significant obstacle to widening the applicability of ml to critical applications like in healthcare or autonomous driving where the cost of error is disastrous the broad goal of this project is to tackle the generalization mystery in the context of both statistical learning and reinforcement learning focusing on optimization algorithms being the de facto contemporary standard in training learning models our methodology points out to inherent shortcomings of widely accepted viewpoints with regard to generalization of optimizationbased learning algorithms and takes a crucially different approach that targets the optimization algorithm itself building bottomup from fundamental and tractable optimization models we identify intrinsic properties and develop algorithmic methodologies that enable optimization to effectively generalize in modern statistical and reinforcementlearning scenarios a successful outcome would not only lead to a timely and crucial shift in the way the research community approaches generalization of contemporary optimizationbased ml but it may also significantly transform the way we develop practical efficient and reliable learning systems
five pillars to decarbonize the last mile logistics

gathering 31 partners from 10 different countries decarbomile aims to trigger an unprecedented improvement of the green last mile logistics in europe to reach that goal decarbomile relies on a strong experience of decarbonating urban logistics through european initiatives such as civitas partners will build upon all previous results to develop improved delivery methods tools and methodologies and implement them across europe the solutions developed in decarbomile will demonstrate the full potential of decarbonised last mile logistics in four living labs in logrono spain nantes france hamburg germany and istanbul turkey and 4 satellites tallinn estonia getafe spain ghent belgium and sarajevo bosnia and herzegovina will be involved at a smaller scale to test and study the solution in their own local contexts to be successful in its implementation decarbomile will rely on developed methodologies to implement the new solutions and delivery methods in collaboration with all relevant local stakeholders based on their needs and behaviours the relation with and between stakeholders will be facilitated by the creation of a collaborative urban consolidation logistics framework that will include a digital platform methodologies for collaboration and ict and iot tools this common framework along with tailored innovative business models and recommendations on local policies will allow for a strong collaboration during the project allow to learn more about the endusers needs and behaviours the delivery methods will be strongly improved with urban consolidation centres micro urban consolidation centres including smart lockers innovations on cargo bikes and how they can be used with load pooling for instance electric barge and more the goal is to use and improve existing solutions and allow their interoperability and modularity to improve their efficiency and use their complementarity
vividye removable print evaluation

vividye offers a removable printing innovation that enables reuse of textiles the technology is integratable in existing industrial settings and is aiming to facilitate the reuse of workwear with cutting edge technology from chalmers university of technology in gothenburg sweden we develop a product in close collaboration with industrial partners the technology is strictly speaking two parted with printing easily scalable but with the unique removal functionalization more difficult to visualize and frame within the frame of this project we want to evaluate the business opportunity of the removal step while integrating a good strategy for protection of the intellectual property and continuously integrating sustainability in our business model this programme would enable us to reach the market faster and offering a removable print sooner we want to offer a circular business model in the strive for a more sustainable future and we believe this programme could give us the right tools to achieve these goals
targeting inherited cancer syndromes

transcription factors eb and e3 tfeb and tfe3 members of the mittfe family are master controllers of lysosomal biogenesis and autophagy the activity of tfeb and tfe3 is regulated by mechanistic target of rapamycin complex 1 mtorc1 a central hub of cell metabolism which inhibits their cytoplasmtonucleus translocation we recently discovered that mtorc1 phosphorylates tfeb and tfe3 via a noncanonical torc1 ncmtorc1 signaling mechanism providing the first evidence that mtorc1 can produce specific responses to different environmental cues by differential substrate phosphorylation we and others recently discovered that dysregulation of ncmtorc1 leading to constitutive activation of tfebtfe3 is the main driver of the renal cystic and tumorigenic phenotype of inherited cancer syndromes birthoggdube bhd and tuberous sclerosis complex tsc remarkably deletion of tfeb completely rescued renal cystogenesis and tumorigenesis in bhd and tsc mouse models furthermore additional types of cancer have been associated to induction of tfebtfe3 suggesting that this may be an emerging mechanism of tumorigenesis in incantar inherited cancer targeting we aim to identify novel regulators of tfebtfe3 factors by crispr screening and protein interactome analyses which may reveal new therapeutic targets we also plan to thoroughly characterize the pathogenic role of tfeb and tfe3 in tsc and bhd using transgenic mice and kidney and brain organoids finally we will explore novel therapeutic strategies for tfebtfe3 driven diseases such as selective ablation of cells expressing gpnmb a sensitive transcriptional target of mittfe factors and drug screening for mittfe inhibitors using a newly developed mittfe transcriptional reporter these studies will shed new light on the mechanisms underlying the pathogenic role of mittfe factors and are likely to generate novel therapeutic tools for several cancerassociated conditions
development of artificial phosphoinositides aiming at hiv eradication

main challenge of fighting with the hiv is to eliminate the latent viral reservoir from the body this reservoir is resistant to antiretroviral drug therapy and can cause viral rebound if the treatment is stopped the removal of the reservoir enables hiv eradication is urgently desired in hivaids research for this purpose a strategy called kick and kill was proposed based on the hypothesis that activation of latent hiv kick leads to cell death kill by physical damage andor immune activation however in clinical tests kill process was found to be not enough to reach hiv eradication to eradicate hiv from the body my work has recently suggested a new strategy called lockin and apoptosis instead of kick and kill in development of this strategy nonnatural derivative of inositol hexaphosphate ip6 named as lhippo was designed based on the fact that the ma domain of pr55gag which mediates membrane binding through its interaction with inositol phospholipid pip2 in the host membrane lhippo was administrated to hiv infected hela cells as complex with a carrier cde and suppressed membrane localization of hiv1 gag protein and induced strong apoptosis of the host cell containing the latent viruses in contrast cdelhippo induced less apoptosis on t cell line besides the complex of cdelhippo is inapplicable for oral use toward this end new lhippo derivative with alternative carrier is required an ultimate goal of this work is to develop new lhippo derivative superhippo with more potent and efficient activities my objectives to reach this goal are 1 to synthesize new lhippo derivatives and alternative carriers 2 to evaluate their activities 3 to repeat design synthesis and biological evaluation if the activities are not enough 4 to confirm the binding mode of macompound and 5 to achieve personal development and career advancement by performing this study
mediterranean island cleantech innovation ecosystem

cyprus and malta being small islands with similar needs will leverage on the work that they have been doing with eit climatekic to bring all the relevant partners together exchange ideas organize workshop and prepare action plans in the innovation field of their national energy and climate plans
services for inter and crossdisciplinary data discovery access sharing and reuse in the eosc federation

the eosc data commons projects mission is to contribute to tthe eosc data commons projects mission is to contribute to the establishment of eosc as the european research commons a global trusted ecosystem that provides seamless access to highquality interoperable research outputs and services that enable european researchers to collaborate more easily be more productive and achieve higher levels of excellence the project achieves this with innovative eosc exchange services for improving and accelerating data lifecycle management supporting discovery analysis deposition preservation sharing use and reuse of research data in a european data and compute continuum that builds on the capabilities of the eosc eu node national and european infrastructures for dataintensive research and a community of federated repositories from national institutional and thematic initiatives the project will deliver 1 a aibased analyticsoriented metadata warehouse and discovery service 2 a federation of data repositories from different providers enriched by scientific applications and data analytics tools 3 a catalogue of data analytics tools 4 an execution service for tool deployment and execution 5 metadata specifications for the reproducible and interoperable execution of analytic tools6 a fairness assessment and reproducibility toolset and related policiesinnovation is led by multidisciplinary and thematic use cases from social sciences and humanities physics life sciences biology heath and medicine and environmental science the projects paneuropean consortium involves open source technology providers major national and thematic data repositories and user communities contributing to codesign testing and validation with their use cases by working with 12 national and institutional data repositories the project has the ambition of delivering new solutions that will support the integration of nodes in the future eosc federation
onchip tomographic microscopy a paradigm shift for revolutionizing labonachip bioimaging technology

disrupt aims at revolutionising the field of biomedical imaging by developing a radically new labaonchip technology integrated tomographic microscopy this unprecedented technique will be enabled by pushing forward the science of onchip wireless photonics and tomography in combination with microfluidics and artificial intelligence ai the cmos compatibility of this technology represents a paradigm shift as it assures the realization of tomographic microscopes that are dramatically cheaper lighter and smaller than current approaches moreover the singular features of the proposed solution introduce key advantages in terms of resolution sensitivity throughput parallelisation and energy efficiency to illustrate its potential we will show that onchip tpm can be used for cancer detection and the identification of infected cells developments related to fundamental nanoantenna and diffraction tomography science nanophotonics nanofabrication microfluidics ai and clinical validation will be undertaken by a consortium comprised by 2 sme 1 he 1 nonprofit ro and 2 cancer rd medical institutions with complementary expertise leaders in their respective markets and rd fields this novel device is suited for many applications such as early cancer diagnosis cell characterisation research on cancer and infectious diseases immunocyte phenotyping stem cell multipotency identification tissue pathology haematopathology and analysis of infected cells its intrinsic massproducible compact lowcost mechanically robust and energyefficient feature makes this technology a future innovation driver for new developments in many biomedical application fields and offers an alternative toolset addressing some of the emerging needs of microscopic analysis and diagnostics in lowresource settings telemedicine applications and pointofcare having a potentially huge societal impact fostering early diagnosis of cancer and other diseases and infections
novel treatments for the mucus accumulation at chronic lung diseases

the aim of this proof of concept is to develop novel therapies based on the discoveries made during the adverc grant on mucus and mucins in the lung and intestine the discovery that the xx protein is absent or almost absent in healthy individuals and animals and heavily increased in human copd and induced lung disease in animals made us study this during the erc grant we discoverd that xx is anchoring and attaching the lung mucus by forming a cap on the accumulated mucus in the absence of xx the mucus is nonattached and transported even better than normal we have now determined the detailed molecular structure of the xx and learnt how this protein can form long large polymers by noncovalent interactions we will now develop inhibitory peptides proteins antibodies or small organic molecules to be used as therapeutic drugs for detaching the attached mucus at cystic fibrosis chronic bronchitis copd and other lung diseases with mucus accumulation
abelian varieties over finite fields

some of the most extensively studied objects at the intersection of number theory and algebraic geometry are abelian varieties which are projective varieties whose points form a groupthe main objective of the project is to concretely represent abelian varieties defined over a finite field and classify them up to isomorphism together with their polarizationsthe main goal has been achieved in previous years by work of the researcher supervisor and collaborators in several cases which enjoy two properties the varieties admit canonical liftings and the pdivisible groups do not play a special role in the classificationthe project deals with the cases where these crucial properties do not hold making them theoretically more complicated to grasp but also more interestingachieving the objective will have several consequences firstly we will obtain an efficient way to represent abelian varieties over finite fields overcoming the facts that equations are too cumbersome already in dimension 2 and that jacobian varieties give a complete description only in low dimension and with certain kind of polarizations secondly we will fill some important gaps in our current understanding of many invariants attached to the abelian varieties like the prank or the newton polygon third the project will pave the way to compute the cohomology of moduli spaces of the abelian varieties by interpolating our pointcounts over finite fields shed light one the set of conjectures connecting automorphic forms and representation theory usually known as the langlands program study isogeny graphs of abelian varieties over finite fields which have the potential of being useful in postquantumcryptography understand properties of algebraicgeometric codes via jacobians note that the last two applications could have significant impact on making digital communications more secure and reliable and hence considerably affect our society and economy
teacherai complementarity

the education and training sector plays a key role in meeting europes sustainability challenges and promoting inclusive growth with teachers at the forefront of preparing future generations of children and lifelong learners however the recent surge in the use of artificial intelligence ai in education has called this role into question therefore the taico project sets out to develop implement and validate a model of teacherai complementarity that applies to the broader teaching profession across primary and secondary general education higher education and continuing education and training our model will enhance the understanding of the potential impacts of ai in aligning with human skills for teaching and learning in 12 studies we will apply and assess ai technologies in authentic educational settings in six countries austria estonia finland germany netherlands uk aligned with the new european skills agenda these studies will focus on activities that aim to support a variety of lifelong learning skills including collaboration problemsolving and selfregulation this will allow us to derive practical and evidencebased guidelines for all stakeholders involved incl teachers educational institutions educational technology industry and policy makers and significantly contribute to the productive and ethical integration of ai in education the project will actively engage stakeholders in participatory design activities and policy dialogues to shape the future agenda for how ai is developed and deployed how teachers and edtech developers are prepared and how european policies respond to the future challenges of an aienhanced education system the taico consortium includes leading institutions on research into ai in education in europe covering all areas of the education system and key stakeholder organisations in europe covering the edtech sector the teaching profession and educational policy making
design synthesis and optimization of feiii based porphyrins for use as nextgeneration mri probes

magnetic resonance imaging mri plays a pivotal role in early diagnosis and therapy followup of many diseases the substitution of current gdbased mri contrast agents ca which raise both safety and environmental concerns is one of todays most important challenges in imagingrelated chemistry high complex stabilities and inertness attainable with feiii make it a high potential alternative to gd porphyrins have met great clinical success exhibit biocompatibility stable metal complexes and easy structural modulation but formation of oxodimers in feiii porphyrins fepo reduces their relaxation efficacy porphiron will tackle these limitations and develop new families of biocompatible fepo finetuned for mri use porphiron will focus on structural optimization to i maintain the oxidation and the high spin state of feiii yielding relaxation effect comparable to clinical ca and ii adjust physicochemical properties to preserve biocompatibility to achieve this porphiron will rely on a synergic combination of the ers experience in porphyrin chemistry and computational studies with that of the supervisor in mri ca development and an iterative approach with i initial synthesis of newly designed fepo followed by their physicochemical and biological evaluation ii computational rationalization of the experimental results and prediction of new optimized structures iii secondround optimized fepo synthesis and characterization porphiron will deliver fully characterized stable biocompatible and high efficacy fepos with preliminary preclinical in vivo mri validation thereby actively contributing to the implementation of nextgeneration nontoxic ca in clinic porphiron will strengthen ers experience in organic synthesis computational chemistry while significantly expanding his knowledge to ca development and preclinical mri it will expand his career perspectives and open new opportunities in the emerging field of theragnostics
the dynamics of healthcare systems segmentation the institutional stratification of social groups in south america

welfare states in general aim to mitigate social inequalities however in differentiating rights among social groups their institutional architecture may further deepen preexisting disparities in the field of healthcare this phenomenon has been coined as healthcare system segmentation that is the coexistence of different and independent healthcare arrangements each of them targeting distinct social groups particularly prevalent in the global south healthcare system segmentation is largely neglected by the scholarship and the few existing studies focus on contemporary manifestations of the phenomenon while its origin evolution and reasons for existence remain unexplored to fill this gap the project hess aims at investigating the emergence and development of healthcare system segmentation in twelve south american countries from a comparative and historical perspective first it will describe and analyse healthcare system segmentations a emergence and expansion b inclusion and exclusion of social groups c crosscountry variation and d temporal distribution second it will explain whether the extent of segmentation observed within and across countries can be explained by economic political social andor policyfield specific factors to do so hess will construct a novel dataset on the historical development of healthcare system segmentation in the region this data will be made publicly available on a newly developed website fostering further research in the domain adopting document analysis descriptive statistics and qualitative comparative analysis qca the project will enrich theoretical and empirical understandings of welfare states and healthcare systems of the global south as well as provide guidance for policymaking especially in light of the increasing global call for universal health coverage put forth by the sustainable development goals and most recently by the covid19 pandemic
comprehensive cancer infrastructures 4 europe

cancer is the second leading cause of death in europe with an expected increase of about 25 by 2035 a wide and unacceptable variability in terms of access to research innovation and quality care exists between and within countries possible solutions are an increase in knowledge by funding research and a more equitable transfer of what we already know to everyone comprehensive cancer centers and comprehensive cancer care networks may be the core of ccis that deliver quality care and provide resources to improve and integrate care research and education data already available confirm that the level of cci maturity in member states is widely different from some countries lacking ccis completely a european initiative implemented in all member states based on a capacity building programme cbp will help reduce inequalities in the context of other actions ongoing such as crane jane and uncan cbp is a complex intervention that requires multiple and integrated actions delivered to all the relevant stakeholders cbp will be designed with an inclusive approach tailored to the baseline status capable of creating a change and improvement in research and care with greater integration between them supported by an education programme it will operate at various levels individuals institutions and systems the csa will implement the following steps define cci maturity model including quality indicators