Dragon09/odtu_chatbot huggingface dataset:
immcare boosting clinical research for the benefit of society

immcare will deliver a pioneering centre of excellence coe in humancentred clinical and translational research in portugal by teaming up instituto de medicina molecular joo lobo antunes imm with vall dhebron barcelona hospital institute of research vhir having vhir as a role model and strategic partner will create the framework and actions to have the best health care and research on a single campus the lisbon academic medical centre caml catalysing a virtuous continuum across all stages of biomedical research from bench to bedside and back againimmcare will develop and promote excellence in clinical and translational research profoundly transforming how clinical and translational research is conceptualized planned and implemented to deliver effective solutions to the most pressing health needs the coe will have at its core a missiondriven humancentred datadriven research and innovation ri model as a new way to engage all stakeholders citizens patients healthcare professionals scientists entrepreneurs industry health authorities and government in interdisciplinary crosssectoral collaborations to solve health challenges an articulated set of coordination and support actions will be driven by diseasespecific missions place people citizens and patients at the core of the ri process and leverage the power of new digital technologies and data to accelerate the path of ri in broad collaborative efforts across the healthcare value chain the broad collaborative efforts will follow the quadruple helix approach use open innovation and open science methods to develop and enhance ri capacities and projects to facilitate a rapid uptake of advanced technologies and solutions by healthcare systems at national and international levels the upgraded coe will act as a lighthouse and role model driving structural changes leading to a modernised and more competitive biomedical and health ri system in portugal and the eu
antigenspecific treatments to target autoimmune kidney diseases

chronic kidney disease ckd affects around 10 of the population worldwide and is associated with significant overall and cardiovascular mortality ckd is a heterogeneous group of disorders characterized by alterations in kidney structure and function and is progressive in nature autoimmune diseases are a common cause of ckd and responsible for its most aggressive and progressive forms mainly in younger patients autoantibodies play major pathogenic roles in most of these disorders and multiple diseasespecific target antigens have been identified circumstances that have shifted treatment strategies from largely unspecific immunosuppression towards b and plasma celltargeted therapies however such treatments still involve broad immunosuppression with potentially severe adverse effects hence there is a huge gap between the increasing insights into the immune mechanisms and pathogenic role of autoantibodies against cellular antigens on the one side and the currently available treatments with limited specificity on the other side the vision of autotarget is the development and experimental implementation of pathogenesisbased and antigenspecific treatments for autoimmune diseases of the kidney the objectives are 1 to identify and characterize novel molecular targets on autoantibodysecreting cells 2 to target autoreactive b and plasma cells using nanobodybased compounds and 3 to engineer chimeric autoantibody receptor nk and t cells for the treatment of different autoimmune diseases of the kidney autotarget thereby revolves around a highly translational approach combining target identification and characterization in patients with autoimmune kidney diseases with unique in vitro and in vivo systems to model disease and validate therapeutics these translational studies pave the way for more specific less toxic treatments and thus may implicate a huge step forward for the large and growing population of patients with kidney disease
realtime automatic monitoring and mlbased prediction of pest insects

xtrap is an innovative smart trap solution that will transform pest management operations in farms fostering the transition towards the agriculture 40 era it combines realtime automatic monitoring of pest insects with prediction based on machinelearning models xtrap is the first predictive solution for pest lifecycle events over 95 accuracy on the market it accurately identifies crop pests and diseases in time therefore allowing farmers to prevent them effectively xtrap includes two main functions 1 automatic insect detection through smart traps equipped with sensors and highresolution cameras to count and identify insects by means of machinelearning algorithms and 2 pest prediction through algorithms based on environmental data and phenology of insects combined with the use of artificial intelligence the output from the algorithms and the predictive models will be available to farmers through our digital platform currently being commercialized by xfarm
an opensource platform for resilient secure digital identities

recitals aims to build an opensource platform that integrates into a common framework a wide variety of techniques and services for privacypreserving data sharing and identity management the platform consists of three main modules1 recitals core provides a series of fundamental components that can be used as building blocks for constructing more complex services these include the distributed ledger the identity lifecycle manager the cryptography manager the anonymization manager as well as the compliance manager for horizontal eu legislation2 recitals valueadded services combine multiple components from recitals core into endtoend pipelines that address specific needs a selfsovereign wallet privacypreserving record linkage privacypreserving federated learning llmbased user interface domainspecific compliance manager privacypreserving data analytics and explainer which sheds light into the decisions taken by trained ml and dl models3 security manager provides all necessary means for ensuring the resilience of the entire platform to this end it covers all aspects of cybersecurity from the analysis of possible cyberattacks to their automatic detection and mitigationspecial care is taken to equip each component with the stateoftheart techniques of the corresponding task as a result each component acts as a library comprising a wide variety of established methods and can be used independently of the platform for example by being integrated into any other system that leverages pythons opensource ecosystemanother goal is to tweak the methods implemented by each component so as to enhance their time efficiency and scalabilitythe performance of the recitals platform will be tested in three demanding industrial use cases to evaluate and verify its capabilities while demonstrating how it goes beyond the current stateoftheart in each considered field
chip production without friction

friction contributes to the global computer chip shortage friction and wear limit the positioning accuracy and throughput in chip production as future positioning requirements approach the atomic scale contact friction and wear need to be understood at this scale to inspire new positioning solutions which are more urgently needed than ever beforechipfriction will focus on a key interface in chip production carbon based materialonsilicon subjected to nanoslip in a hydrogenrich environment how nanoscale elasticity plasticity and adhesion control rough contact formation will be revealed by matching contact models to groundbreaking fluorescence microscopy contact observations how a local frictional stability criterion translates into the nanometre partial slip that characterizes the onset of multicontact sliding will be modelled and observed through unique presliding experiments the oxidation interfacial bonding and mechanical mechanisms that lead to wear of the carbon based material will be exposed through a combination of environmental control new nanowear visualization methods and exsitu xps characterization i am uniquely suited to conduct this work because i have fuelled the development of these experimental techniques and i have experience in conducting the associated physical modellingmacroscopic friction emerges from generic physical ingredients such as elastic deformation of surface topography and shearing of interfacial covalent bonds how friction emerges creates a scientific challenge with major impact friction is responsible for 25 of the worlds energy consumption i will address this longstanding challenge by experimenting and modelling the complex interplay between contact mechanics frictional slip and wear of the specific interface the transfer of new friction manipulation strategies for chip production without friction is facilitated by having an institutional link to the lithography industry
european centre of excellence for engineering applications on hpc and associated technplogies

excellerat p2 continues the fruitful partnership of europes leading hpc centres application specialists and supporting partners who have worked with and offered their expertise and knowledge to engineering companies and researchers from across industry and academia for the past three decades a key strength of excellerat p2 is that it will build on the achievements of excellerat p1 including the available service portal as a baseline for impact and awareness creation furthermore the critical mass knowledge and expertise of europe is reunited and extended by additional experts to continue the centre of excellence which will span the whole domain of engineering ensuring that innovations produced are applicable to other engineering challenges that codesign is handled properly that success stories are created and distributed all in all to support best the european hpc strategy excellerat p2 will base its evolution and developments on six chosen use cases requiring the full range of hpc usage profiles from small scale capacity type applications all the way to hero run type large scale applicationsthe advancements the use cases as well as further applications will make beyond the state of the art as well as the results which will be derived by the execution of the use cases and the further applications will have a clear impact in europe excellerat p2 and the brand strives to show the contribution of hpc hpda and ai in engineering to a lowcarbon more environmentally friendly and socially responsible product development and manufacturing as well as the mobility and energy sectorthe holistic view of excellerat p2 to the usage of hpc and hpda and ai is needed if engineering applications shall be supported to increase the european competitiveness thus the developments done in excellerat p2 will increase the european competitiveness in hpcapplications hardwaredesign and hpcservice provisioning to a new level
quantum simulation of jet evolution and parton structure

quantum computing has emerged as a new method to simulate manybody quantum systems especially in nuclear and high energy physics the goal of this proposal is to develop the first quantum computing framework for multiparticle jet evolution using the lightfront hamiltonian approach and parton structure functions related to core high energy experiments using available noisy intermediatescale quantum nisq computers the fruition of this 24month project will provide an alternative quantum perspective to jet physics which complements current classical models by using qubit a twolevel quantum state quantum simulation triumphs over its classical counterpart by taking asymptotically fewer computational resources especially when quantum processors become available in the next few years to this end i propose to spend the first 16 months at my main host the galician institute of high energy physics igfae of the university of santiago de compostela usc under supervisor professor carlos salgado on jet physics and quantum simulations here i will develop an efficient hamiltonian and state encoding scheme for the quantum simulation of composite jets in a dense background field to extract useful observables such as the jet quenching parameter in the next 4 months i will work at the second host the university of california los angeles ucla with supervisor professor zhongbo kang on parton structure functions i will study different quantum algorithms especially quantum imaginary time evolution to obtain various parton structure functions with quantum computing in the final 4 months i will return to usc to build and publish the first opensource quantum simulation software in high energy physics for jet evolution and parton structure calculations my project will answer some of the most challenging research questions in jet phenomenologies and quantum simulation algorithms and lay the groundwork for future quantum applications
remote microscopy nanoscopy and picoscopy by hyperspectral lidar

hypersense will spearhead hyperspectral lidars expanded to exotic spectral regions outside the imaginable by lidar community and demonstrate standoff biosensing beyond what can be resolved by existing methods by employing plasma and supercontinuum light sources leveraging my patented hyperspectral scheimpflug lidar concept adding an uncontested number of spectral bands spatiotemporal resolution and sensitivity we will reveal aspects of our biosphere inaccessible by existing lidars active remote sensing of our biosphere uncovers details that cannot be resolved in space and time by sunlight eg protein absorbance shielded by the ozone layer life in dark ocean depths narrow oxygen lines in a breath or nocturnal movements of disease vectors lidar constitute an efficient measurement technique where the same light transilluminates a volume until it interacts with the sample and simultaneously reports range and backscatter quantitatively whereas hyperspectral lidar also provide microscopic absorption pathlengths nanofeatures on biological surfaces and deformations of electron shells on the picometer scalehypersense will explode multiple boundaries of current lidar demonstrate and revolutionize biomonitoring by my inexpensive robust compact and portable scheimpflug method hypersense comprise 4 novel hyperspectral lidars with short long narrow and broad spectral coverage applied to 8 biological challenges showcasing lightbiology interactions on the micro nano and picoscopic levela duv lidar 220440 nm biomolecules specificity for classification of pollen and lichenb aquatic lidar 400800 nm profile plankton biodiversity using both oscillatory and spectral propertiesc hires nir lidar 760762 nm resolving o2 and temperature in breath to understand host seeking and hilltopping in insectsd swir lidar 9002500 nm quantify the surface nanostructures internal tissue microstructure and molecular composition of vegetation and aerofauna
the macroeconomic effects of corporate tax reforms

taxes paid by companies are a key source of government revenue among oecd countries corporate taxes in 2018 accounted for an average of 10 of total tax revenue 31 of gdp and 57 of gross business profits beyond their importance for fiscal revenue corporate taxes have large economic effects through their impact on private investment a key driver of shortrun fluctuations and longrun growth moreover recent developments revived the interest in corporate taxation including the massive debts accumulated during the pandemic the exhaustion of monetary policy the secular increase in business profits and tax competition i will develop and apply new structural frameworks to assess the macroeconomic impact of corporate tax reforms on business cycle fluctuations capital misallocation capital valuation relative to the literature my investigation integrates important dimensions that have not been jointly examined before due to their complexity including 1 the interaction of corporate taxes and empirically relevant investment frictions 2 the richness of firm heterogeneity in the microdata 3 the general equilibrium feedback and dynamic effects that differentiate short and the longrun responses and 4 the relationship with monetary policy i will apply methodological advances that i recently developed which overcome the technical challenges and allow me to contribute to the stateoftheart by incorporating all of these dimensions into the analysispart i develops the theory to formalize how corporate taxes determine macroeconomic outcomes and conduct counterfactuals part ii combines the theory with crosscountry data to provide systematic evidence on the impact of corporate tax reforms organize the historical experience and derive policy recommendations part iii examines how the corporate tax regime mediates the effects of monetary policy and how the stance of monetary policy shapes the effects of tax reforms
textile digitisation tools and methods for cultural heritage

textailes goal is to redefine the digitization of cultural heritage ch textile objects and the development of aibased processing tools aiming to establish a standardized protocol that seamlessly integrates into the eccch by studying past and present practices in textile digitization we methodically explore their strengths and limitations this comprehensive assessment enriched by contributions from codesigner groups across various use cases helps us identify the essentials of textile digitization our approach to standardization is allencompassing we develop advanced tools that address the entire digitization life cycle of textile objects focusing on nondestructive methods using robotic costeffective multisensor solutions we ensure the preservation of artefacts during digitization complemented by reliable data analysis workflows innovation lies within the core of textailes we integrate stateoftheart ai technologies to shed light on the intricate details of textiles from revealing their weaving patterns and microstructures to identifying degradation factors our aidriven toolkit offers indepth insights it further excels in motion modeling dynamics and the reconstruction of fragmented or lost objects all these capabilities merge into a groundbreaking 4d multiscale annotation interface coupled with a digital twin model and enhanced by humaninloop interactions our commitment to the ch community remains strong we aim to embed the tools and techniques developed by textailes into archaeological research facilitated by the eccch by supporting interdisciplinary research communities and providing upskilling opportunities we aim to raise the textile ch domain to new heights
sensai the digital transformation of the mining industry that will enable access to critical metals and minerals needed for the green transformation

our solution is the first complete aidriven drill core mapping solution it is unique among drill core assay methods used in mining it will use data gathered by a sensor nondestructive to the samples to provide the user with not only data but also with automatically generated geological mapping digitalising and automating this part of workflow will increase objectivity and consistency of sample analysis as well as decrease the amount of manual work required by a geologistthe datasets generated by minalyzer cs our patented sensor se1000537 granted in sweden finland canada and australia are characterised by the highest quality and consistency manual mapping based on them may still take from weeks up to a year and be subjective or biased the introduction of the ai mapping functionality will reduce that time to minutes with human oversight necessary for quality control only this will be the next step in the minalyzeled transformation of the mining industry
does population size structure affect larval viability in marine fish insights into maternal investment using stable isotopes

one of the most pervasive effects of decade long overexploitation of marine fish is the truncation of size distributions in affected populations today many populations of commercially important species such as atlantic cod gadus morhua consist of smaller individuals than just a few decades ago concurrently a general decline in recruitment has been observed with severe consequences for population growth and productivity these observations have led to the formulation of the big old fat fecund females bofff hypothesis which states that older larger females contribute disproportionally more to the recruitment because of their increased massspecific fecundity and production of more viable offspring the first part of the hypothesis has been tested and confirmed while the considerably more challenging test of superior offspring survival is hindered by the inability to link individual offspring caught in the open sea to the size of the mother in the populav project i will use sizespecific natural biochemical markers stable isotopes to link maternal size to larval viability larvae are provisioned with the maternal isotopic signature via nutrient transfer from maternal gonads to the eggslarvae a promising novel tool to provide a robust test of the bofff hypothesis the objectives are to 1 confirm the sizeeffect on maternal gonadal isotopic signature 2 assess sizedependent stable isotope transfer in laboratory experiments 3 assign wildcaught larvae to the size of its mother using stable isotope profiles and 4 use a simple model to estimate the effect of population size truncation on larval viability data obtained in populav will advance our understanding of how size truncation affects larval viability and thereby recruitment this knowledge can support decision making and fisheries management and place its coordinators and the eu at the forefront of international efforts for understanding the impacts of fishing on our marine resources
dna methylation markers to predict treatment success of biologicals in crohns disease

monoclonal antibodies have become a mainstay of therapy in common immunemediated diseases imid including crohns disease cd rheumatoid arthritis ra and psoriasis pso current therapeutics include antibodies biologicals targeting inflammatory proteins such as tumor necrosis factor adalimumab leukocyte trafficking vedolizumab or il12il23 ustekinumab at present however it cannot be predicted which biological will be effective in an individual patient with only 40 of patients showing primary response to any given therapeutic treatment failure is associated with disease complications and increased health care costs hence the overwhelming need for predictive biomarkers to guide personalised medicine in imid is evident no biomarker to target therapy is validated in clinical practice in methylomic we build on multiple previous cohort studies in which we confirmed epigenetic biomarkers specifically dna methylation as the most stringent predictor of response to biological therapy zooming in on cd specifically we discovered and validated differential dna methylation profiles in peripheral blood as biomarkers of responsedeep remission for 3 approved biologicals in cd through the use of machine learning algorithms treatment response could be predicted with up to 93 accuracy for each biological for cd and ra methylomics is committed to bringing personalised treatmentselection in cd and other imid to clinical practice we have teamed up clinical epigenetic and dna diagnostics experts patient organisations and companies across europe for further validation studies develop a marketable rapid targeted methylation assay that we than validate in a unique prospective randomised clinical trial for cd efficiency and costeffectiveness is assessed in great detail and regulatory approval is guided by experts to assure delivery of the first epigenetic kit personalised treatment of cd