Dragon09/odtu_chatbot huggingface dataset:
supporting mental health in young people integrated methodology for clinical decisions and evidencebased interventions

anxiety disorders diagnosis decision and treatment processes are still uncertain and inconsistent especially in a fastevolving real world where stressors affect people in different ways smile aims to improve the quality of mental health management and ensure affordable services by sharing information providing scalable digital tools and ensuring personalized decisionmaking and evidencebased interventions in an effective way to achieve these goals smile will develop mainly open knowledge platform okp and interactive gamification tools okp will bring together healthcare professionals scientists policymakers businesses and citizens to codesign effective decision strategies and unlock access to meaningful knowledge gamification will provide selfassessment learning and selfcare services for young people to develop thinking coping and doing skills hence smile will be able to integrate and analysis at least 7 different diagnostic data from clinical data to daily living parameters also smile will assist primarily clinicians and help patients through 3 decisionmaking tools the analytics and predictive tools will support practitioners in understanding the associations between risk factors and anxiety and recommending interventions in a personalized way the smile digital tools and services will be implemented and validated in eight reallife strategic case studies in 7 different european countries uk germany cyprus poland slovenia spain and italy to reach trl 7 also a systematic upscaling method will be deployed to sustain our program and ensure the continuity in the postproject smile will deliver durable legal socioeconomic gender and environmental values for the benefit of healthcare professionals patients eu smes and society at large finally smile has strong multidisciplinary skills and is composed of one leading research center 5 smes 3 pilot centers 4 public universities and 1 policymaker from 9 european countries
procurement capability embedding and driving innovation

procurement capability embedding and driving innovation procedinlegal reforms european national and regional policies growing expertise guidance tools and case studies and networks of early adopters are all key foundations for the adoption of public procurement of innovation poi practices bringing together business and public sectors if it is to drive deep systemic change the rate scale and scope of poi adoption must increase this project will accelerate poi in a specific domain covering two critical areas of innovation circular economy and green mobility in the context of european cities innovation for sustainability and resilience agendasthe consortium will leverage existing resources and its members extensive paneuropean professional networks and initiate new provisions to enhance and mobilise poi motivation knowledge and skills by mapping the complex landscape of growing expertise experience and learning infrastructure and relating resources to the varied needs of different stakeholder archetypes defined by organization type extent of poi experience etc key gaps in provision will be identified and addressed particular attention is paid to promoting enduring access to and increased uptake of poi guidance and learning resources for buyers and vendors and to building leadership capacity for driving and embedding innovation through strategic procurement
phylogenetic lexification patterns of meaning through time

in historical linguistics scholars often grapple with limited data nearly half of the worlds 7000 languages are endangered many of these languages are underdocumented often reduced to mere short wordlists this is a pressing challenge as the scarcity hampers our ability to understand linguistic evolution and diversity traditional methods often rely on the form of linguistic units such as phonemes or morphemes the phlex project challenges this by emphasising that semantics while less explored is not intrinsically unyielding to analysis phlex aims to innovate by incorporating semantic analysis into traditional methods enhancing both our grasp of linguistic evolution and thus better utilise underdocumented language data to validate this methodology the phlex project will focus on the oceanic language family spoken across polynesia melanesia and micronesia the first phase involves creating a comprehensive database that explores how these languages articulate concepts related to the semantic domain of perception like seeing hearing and feelingan area with notable crosslinguistic variation subsequent analysis using advanced statistical models traces the historical evolution of the semantic structures thus applying phylogenetics to lexification allowing for a comparative assessment against traditional cognateonly methods the phlex projects ultimate objective is to enhance historical linguistic methods by testing a hybrid model that integrates semantic and cognatebased approaches this model aims to optimise the use of limited linguistic data to provide a nuanced understanding of language origins and evolution the project thereby opens a new avenue for determining genetic relatedness between languages an essential factor in understanding linguistic diversification and aiding language preservation efforts in the face of underdocumentation
flexible lightweight aiaided receivers

artificial intelligence ai is envisioned to play a key role in future wireless technologies with deep neural networks dnns enabling digital receivers to learn to operate in challenging communication scenarios however wireless receiver design poses unique challenges that fundamentally differ from those encountered in traditional deep learning domains the main challenges arise from the dynamic nature of wireless communications which causes continual changes to the data distribution combined with the limited power and computational resources of wireless devices these challenges impair conventional ai based on offline trained massive dnns our ambitious goal is to introduce a new form of flexible lightweight ai that is particularly tailored for wireless communications our approach is based on a holistically revisiting the three fundamental pillars of ai the architecture dictating the family of learned mappings the training algorithm that tunes the architecture and the data based on which learning is carried out accordingly we focus on three objectives 1 design trainable receiver architectures that are lightweight and support adaptation to rapid channel variations 2 establish a new learning paradigm that deviates from conventional training and is based on viewing continual learning as a dynamic system and 3 propose techniques to accumulate online data sets that are sufficiently informative for learning purposes while being small enough not to induce notable complexity in training this is a fundamental depart from conventional deep learning based on highlyparameterized dnns trained with massive data sets using lengthy learning procedures our preliminary data show that this paradigm shift achieves substantial performance robustness and complexity gains over conventional deep receivers the project will transform how communications systems are studied and profoundly impact a multitude of applications that rely on wireless communications
improving water management in semiarid regions insights in hydrological and environmental controls of lakes using triple oxygen isotopes

lakes provide an important water resource for agricultural and industrial purposes and form a critical habitat for plants and animals understanding the hydrological functioning of lakes is fundamental to understand hydrological feedbacks related to changing environmental conditions in the context of current climate change and also of increasing importance for environmental policy stable isotope ratios of water 2h1h 18o16o are widely used in lake hydrology studies providing information on the hydrological balance of lake systems however in cases where the system is underdefined a full quantitative assessment of the lakes hydrological balance is challenging recent investigations have demonstrated that the additional analysis of the rare oxygen17 isotope can provide additional quantitative information about the hydrological and environmental conditions during lake evaporation the hydro17 project will explore the potential of the triple oxygen isotope analysis 18o 17o 16o expressed as 17oexcess for quantitative hydrological balancing of lakes by examining the seasonal isotope evolution of hydrologically different lake systems in the andalusian lowlands southern spain where agricultural overexploitation of groundwater aquifers over the last decades led to a severe water deficit current climate change will further intensify these problems the results of the project will contribute to the understanding of the hydrological functioning of lake systems in andalusia with implications for local water management strategies the approach has potential application to lakes in other regions in the world the outcomes will also help to improve the interpretation of paleoclimate and paleoenvironmental information obtained from paleolake sediment archives
molecular and neurogenic evolution of the thalamus

developmental programs are the playground for evolution it is during development when most variation occurs therefore developmental variations are the raw material for natural selection sculpting new adaptationsto unravel the evolutionary history of the thalamus a paradigmatic example within the brain i propose to compare the development of the thalamus at various levels and in various species of amniotes at the level of neurogenesis evothalamus proposes to describe the neurogenic formation of the thalamus linking thalamic nuclei neurogenic time with their location and function at molecular level i will describe the transcriptional profiles of thalamic neurons during their differentiation and maturation in the circuit understanding how transcriptomes diverge on the species along with circuit maturationat functional level i will study the broad connectivity routes of the thalamus with the rest of the brain i propose in a pioneering way to integrate multilevel information to compare all the data of development transcriptomics and axonal connectivity in a model that links the molecular variations and the developmental program with the appearance of new nuclei and thalamic connectionsi will work with chick and gecko embryos and we will compare the data with those already published in mice i will look for developmental variations novelties of the neurogenic program that are not present in the development of the reptilian thalamus i will find the changes in development that led to the greater complexity of the thalamus of birds and mammals these evolutionary trends will be a reflection of the multitude of evolutionary changes that occurred in other brain regions evothalamus will equip me with fresh insights into neurobiology and brain development and evolution this project will be instrumental for my career and will consolidate me as an independent female researcher in neuroscience
designing synthetic regulatory domains to understand gene expression

how the genome controls precise celltype specific gene expression is crucial for cell identity and differentiation short cisregulatory elements such as enhancers are distributed in extended regulatory domains surrounding their target gene which in mammals typically span hundreds of kilobases although all evidence indicates that gene regulation is controlled by the combined action of large domains our current understanding mostly focuses on enhancers if and how intervening dna sequences enhancer order or spacing within regulatory domains contribute to gene regulation is unknown the reason for this largely unexplored aspect lies in our limited ability to systematically alter large genomic regions in this study we will use recent advances in synthetic biology to overcome this limitation from synthetic dna we will create variants of entire gene regulatory domains and integrate these into mouse embryonic stem cells we will test synthetic regulatory domain function in tailored gene expression analyses using cell culture organoid and in vivo models by investigating regulatory elements with respect to their surrounding regulatory domain we will uncover hidden rules of gene regulationin variant regulatory domains we will systematically assay understudied parameters such as enhancer spacing order or interenhancer sequences we will use singlemolecule methods to measure gene expression level use organoid and in vivo systems to profile celltype specific changes in expression patterns and we will use the unique potential of synthetic dna to understand the fundamental link between dna sequence and chromatin composition of regulatory domains with this interdisciplinary approach we aim to uncover previously hidden layers of genomic information the insights generated from this work will provide a novel and unique view on the organization of the noncoding genome with the potential to expand our ability to read and write genomic dna sequences
the dynamics of genetic rescue from natural migrations in wolves

dramatic biodiversity declines are driving earth into a sixth mass extinction drastic conservation plans such as genetic rescue have been proposed to mitigate the loss of genetic diversity by introducing variation through admixture with closely related populations however the influx of new variation can also lead to an increase in genetic load which can further compromise the survival of species since current studies of genetic rescue are based on few regions of the genome and lack a population genetics model assessing the impact of these initiatives on the levels of genetic diversity and genetic load remains elusive i propose to tackle this by studying the natural populations of european gray wolves in a temporal and spatial model as their recent demographic history strong bottleneck followed by a recovery in last decades renders them an ideal case for exploring the dynamics of genetic rescue in particular i propose to leverage on an unprecedented dataset including 1000 wolves genomes sampled across eurasia at multiple time points before and after population decline and the subsequent recovery to generate the most comprehensive catalog of genomic diversity in european wolves to date taking advantage of recent developments in population genomics computational biology palaeogenomic sequencing and evolutionary modeling i will reconstruct their recent demographic history migrations patterns and adaptive potential and determine the demographic parameters that predict a successful genetic rescue this predictive modeling tool will be capable of guiding conservation management in wolves and applicable to other endangered populations the combination of my hosts extensive experience in canid evolution statistical methods and modeling together with my background on population genomics ensures the successful implementation of this action and will enhance my set of essential skills on genomics methods for conservation
innovative and sustainable high voltage liion cells for next generation ev batteries

the intelligent project answers to the need for general public acceptance of evs by facilitating the industrial deployment of nextgeneration batteries allowing for an increased driving range fast charging capabilities low cost and increased safety intelligent will develop european generation 3b high voltage 47 v libs with increased energy density 350400 whkg 7501000 whl charge acceptance 2c and cyclelife 2000 deep cycles compared to the stateoftheart while reducing cost 100 kwh on pack level and carbon footprint of the produced cells the ambitious goals will be realized through optimized cells produced with highvoltage spinel lnmo cathode materials engineered to enhance stability and enable aqueous processing whilst exploring strategies to increase specific capacity beyond the theoretical maximum of standard lnmo energy efficient highcapacity stable sigr anodes delivering 850 mahg highvoltage electrolytes with innovative additives that form protective layers on the anode and the cathode selfmitigating and healing binders and separators minimize parasitic reactions and degradation novel opensource modelling tools and highthroughput screening will be employed to accelerate the development of environmentally benign materials with minimized use of critical raw materialsoptimized electrode design 45 mahcm2 and cell designbased commercialscale automotive cells 20 ah as well as battery modules 1 kwh at trl 6from an industrial viewpoint a prerequisite for succeeding is continuity in battery rdi projects and trainingeducation of required staff which intelligent will foster by broad dissemination and exploitation of the project results across the battery value chainthe project will result in strengthening of the european battery value chain by developing european industries with leadingedge technologies on battery materials and allowing for accelerated rollout of electrification for mobility
topological solitons in ferroics for unconventional computing

topocom is a network of leading european groups from different disciplines and sectors selected to provide comprehensive training on the integrative concepts underlying the science of topological solitons in ferroic materials and their application in unconventional computing topological solitons are a rich source of emergent physical phenomena and most promising nanoscale systems for future technology enabling conceptually new pathways for lowenergy information processing and sensing as well as integrated data storage many of the developments in the field have occurred only in the past few years and it is clear that we have only scratched the tip of the iceberg concerning the topological solitons that form in electrically or magnetically ordered materials to realize their potential the consortium comprises the best groups in materials synthesis and modelling to stabilize such solitons modelling and studying their dynamical responses to external stimuli and designing and fabricating devices where solitons carry out ultralowpower computing and sensing functions while clearly a challenging topic there are major benefits that result from a unified treatment of electric and magnetic solitons as realized in this topocom the network spans the whole range from fundamental physics and applied materials science linking both experimental and theoretical aspects to industrialscale production and evaluation the scientific part training through research is complemented by advanced transferable business and cultural skills training training for life providing europe with a unique training programme at the forefront in unconventional computing based on electric and magnetic solitons topocom will establish innovative solutions for more sustainable information technology and educate the next generation of experts highly qualified to tackle the technological key challenges of growing complexity in an important sector for eu economic development
digital mythology and arabic literature a digital archive to study the dynamics of the reception of greek myths in modern arabic literature

digimyth is an interdisciplinary project that adopts the tools of digital humanities dh in arabic literary studies it plans to create an open access digital archive through which it investigates the dynamics of the reception of greek myths in arabic literature produced in egypt and in the mashreq in the period 18501950 thanks to its intersectional approach that involves dh literary studies historical and religious studies the project aims at having an impact both on arabic literary studies and on other fields of researchthe general objectives of digimyth are to investigate how and when greek myths were introduced into modern arabic literature and to evaluate their impact on its development the project envisages two primary specific objectives that address two main questions1 what are the modern arabic literary texts containing references to greek myths the project plans to digitize relevant texts of arabic literature that contain such references and create an open access digital archive this entails the application of it tools to arabic literary studies which has made little use of digital research so far 2 what are the dynamics of the reception of greek myths in modern arabic literature while there are studies on the use of myth in arabic poetry after 1948 they fail to determine the specific function of greek myths and to explain how these myths were integrated into the arabic literary system before 1948 resting on the data collected in the archive and on an interdisciplinary methodology that involves literary historical and religious studies digimyth aspires to answer the following questions when and which greek myths were introduced in arabic literature is there any relation between the place and the reception of a myth and between the latter and politics and ideology how did the meaning of the myth change over time and space
cancer prevention vs cancer treatment the rare tumour risk syndromes battle

rare tumour risk syndromes rtrs are rare diseases affecting 5 per 10000 people or less and caused by heritable genetic variants in rtrs the lifetime risk to develop various cancers can be as high as 100 and patients have a 50 chance of transmitting the disease to their offspring when undiagnosed or not surveilled many asymptomatic rtrs patients develop particularly aggressive cancers leading to premature death severely impacting theirs and their families health and wellbeing cancers in rtrs can be prevented and survival rates maximized if asymptomatic rtrs patients are intensively surveilled for rtrsprone organs cancerprone organs are surgically removed prior to disease development or very small cancerous or precancerous lesions are removed or treated rtrs are therefore a unique and tangible context for cancer prevention early diagnosis and treatment with curative intent however riskreduction strategies are not always prioritized in genetically diagnosed and asymptomatic rtrs patients and most healthcare systems keep on opting for treatment of clinically expressed cancer this occurs despite the knowledge that hospitalization has the highest weight on advanced cancer healthcare spending it is therefore urgent to demonstrate the costbenefit of the application of preventive measures in rtrs syndromes the ambition of the preventable project is to merge specialized clinical knowledge on rtrs pathways of care reallife clinical data from rtrs patients and experiences from professionals and patients with health economic models and social sciences approaches to estimate the costbenefit of riskreduction interventions in rtrs and delineate guidelines for its communication among and within clinical teams and rtrs patients preventable project results will be delivered to a diversity of stakeholders including policymakers in order to promote the implementation of costeffective rtrs patientcentered care in europe