Dragon09/odtu_chatbot huggingface dataset:
the sociocultural formation of prices in mongolian medicinal plant supply chains

this action plantecon based at sinofon a research centre unit hosted by the department of asian studies palacky university aims to investigate the sociocultural formation of price along mongolian medicinal plant mp supply chains within recent history and intensively since the spread of sarscov2 mp supply chainstrade networks that move a product from its site of origin to a consumer markethave proliferated across central asia in mongolia otherwiseunemployed poor rural populations gather wildgrowing plants and sell them at negotiated pricesthe agreedupon economic value that solidifies the exchange of the plant from one actor to anotherinto trade networks that move the plant to consumers in urban mongolia or china the action has the following objectives 1 identify the breadth and extent of the proliferating mp trade in two plants fang feng and liquorice root in mongolia 2 identify the diverse sociocultural factors that impact price negotiations in situ following the process of price formation across a chain to identify how sociocultural considerations affect prices in the aggregate and 3 establish the equitability potential of mp supply chains as rural development strategy academically this action will advance economic anthropology on pricing and environmental medical anthropology on the globalised traditional medicinal plant trade with potential for future crossgeographic erc or twinning grant proposals economically and culturally the action will draw attention to the booming unregulated medicinal plant trade in central asia to increase cultural heritage and plant conservation action but also inspire international funding bodies to either design value chain development projects that are equitable to rural populations or consider the implementation of plant benefitsharing programmes
weathergenerator

this project will build the weathergenerator the worlds best generative foundation model of the earth system that will serve as a new digital twin for destination earth the weathergenerator will be based on representation learning and create a general and versatile tool that models the dynamics of the earth system based on a large variety of earth system data the weathergenerator will be taskindependent and will improve results for a wide range of machine learning applications when compared to task specific machine learning tools it will also be more resilient for climate applications when the underlying data distributions are changing and it will lead to a significant reduction in computational costs and faster turnaround times to achieve this we will 1 collect and use the most important datasets of earth system science including data from digital twins of destination earth selected observations analysis and reanalysis datasets and output of conventional earth system models 2 build the weathergenerator as a novel representation learningbased machine learning tool that exploits the full potential of europes largest supercomputers 3 engage with the wider community via services and apply the weathergenerator for 22 selected applications that can be integrated into the destination earth framework the applications include global and local predictions local downscaling data assimilation model postprocessing and impact applications in the domains of renewable energy water health and food the project consortium that will build the weathergenerator consists of experts in machine learning supercomputing and earth system sciences and includes industry smes and leading operational weather centers the weathergenerator will lead to key innovations in weather and climate science and machine learning to enable europe to establish and defend leadership with respect to machinelearning based earth system modelling
novel and sustainable biotechnological approaches for astaxanthin and ketocarotenoids production

microalgae are photosynthetic unicellular microorganisms which can be cultivated at industrial level and adopted as sustainable platforms to produce high value biobased products astaxanthin and omega3 fatty acids are examples of high value metabolites which can be produced by microalgae and that are relevant for both human and animal nutrition astaxanthin is widely used in animal feed for its pigmentation properties but its also used in nutraceutics being among the strongest antioxidants found in nature despite the high potential of microalgae nowadays astaxanthin is mainly derived from chemical synthesis due to the high costs for natural astaxanthin production and extraction with selling price in the market reaching several thousands of kg however synthetic astaxanthin has a far less antioxidant power compared to natural one and its production processes present several sustainability issues the asteasier project starts from the results of erc poc project asteasy where novel biotechnological solutions to efficiently produce natural astaxanthin were developed reducing the production costs compared to the stateoftheart processes moreover the asteasier solution allows an easy extraction of astaxanthin in a wide range of bland solvents and the simultaneous production of both astaxanthin and omega3 required for fish feed formulation were developed here these innovations will be validated in demonstrator units and tested for aquaculture feed formulation asteasier proposal is thus focused on the development and validation of these novel methods to produce and extract astaxanthin from microalgae and aims in line with the eic transition work pogramme to take the technologies to trl6 and to spinoff a company who will become leader in engineering microalgae to produce and sell natural products such as astaxanthin for human and animal nutrition and wellness
centre of excellence for precise phenotyping and biodatabanking

the vision of personalized medicine quickly materializes with increasing computational power employed for delineating the contribution of genetic and lifestyle factors to disease and therapeutic outcomes however to help a patient it is essential to capture a disease status through detailed insight into individuals biomedical profile now enabled thanks to aibased solutions for big data integration the access to necessary emerging technologies is currently hampered in many centraleastern europe countries due to an immature culture and insufficient networking of main actors of the ri sector the objective of this project is to establish p4health a centre of excellence for precise phenotyping and biodatabanking based on the solid foundations of lukasiewiczport in wroclaw poland the design of p4health is rooted in a complementary expertise in preclinical and clinical studies contributed by advanced partners cerbm france and kings college london uk in p4health partners will unify existing resources into a coherent workflow combining participatory biobanking advanced diagnostics and comprehensive validation of therapeutic strategies in cancer and brain disorders this synergy will create pillars for new teams to efficiently generate essential data and translate them into economic and societal values on a scientific level p4health will cause structural changes leading to a modernized and more competitive ri sector in poland and other widening countries on an economic level p4health will bring together scientists clinicians pharma industry and health case users for creating a forum for knowledge exchange increased volume of commercialized ip and new business relationships on a societal level p4health will become an expert center for regulatory bodies to support interdisciplinary networks streamline operations of the health care system and mobilize the public sector for increased participation in research
creating nebourhoods together munichneuperlach as testbed for urban innovation landscapes

creating nebourhoods together will pave the way to make munichneuperlach new european bauhausready neuperlach npl was germanys biggest postwar urban expansion area with about 65000 inhabitants to make this 50yearold district fit for the future the city of munich set up an integrated urban concept and action plan based on comprehensive analysis of the challenges together with citizens and stakeholders in 202021 npl faces weaknesses eg higher than average unemployment and lower educational levels or high numbers of migration population but it has strengths that against the backdrop of these challenges can become a breeding ground for a beautiful sustainable and inclusive regeneration strong social ties and bottomup dynamics vast green areas and largescale housing and office structures in need of renovation that can grow into something new the city of munich is committed to the eumissions and aims at becoming a climateneutral and smart city in npl our testbed for this mission we will plant tangible pilots as lighthouse demonstrators and thus going beyond urban regeneration so far deliver nebourhoods inspiring and replicable nuclei of practises on the ground for the future of urban development the partnership led by the city of munich brings together unternehmertum tum hm university of applied sciences architekturgalerie munich ngos and more combining cocreation and entrepreneurship putting culture and creativity at the core of the transformation process the project will deliver accessible and empowering solutions to make the eugreen deal beneficial for all in npl and beyond the district will be carefully cultivated into a resilient urban innovation landscape within two years we will create nebourhoods together and show how we can realise circular thinking and acting in society and economy activate the green transformation in building mobility energy food and health and enhance public space
privacypreserving human mobility trajectory data generator

people travel and leave their location history as mobility trajectory data this data is invaluable for a wide range of locationbased services including city planning traffic control disease transmission and optimal control trade area analysis locationbased marketing and tourism consequently leading to the rise of new business models recognising these opportunities governments and industries have increasingly invested in exploring datadriven solutions however data challenges persist due to reduced data resolution from privacy concerns high deployment and processing costs and conflicts of commercial interests recently ethical considerations regarding human location data have become even more critical it remains unclear how organisations regulators and policymakers can effectively support the use sharing and reuse of location data across the geospatial ecosystem in ways that maximise public benefits there is an urgent need to address these spatial data not limited to trajectory data access challenges particularly for researchers and data analysts we propose using synthetic data sets as an alternative to the original data sets which could provide equal access lower costs and minimise ethical risks along this longterm pathway this project aims to develop a prototype human mobility trajectory data generator producing synthetic human trajectory data from original mobile inapp data the synthetic data should enhance the original data while preserving essential human mobility patterns the basic data will be in the form of tripactivity chains derived data sets could be in any commonly used format eg counts origindestination matrix and indicators meeting various applications in urban analytics and eliminating ethical concerns there is a broad range of potential endusers including the transport planning department local governments and organisations mobility service and facility providers and itsrelevant industries
digital design strategies to certify and manufacture robust composite structures

new certified designs for structures are critical for the new upcoming changes in conception of aircraft architectures a variety of breakthrough designs and new strategies for a better use of material and integration of functions in aircrafts are required they range from regional electrical mobility solutions to increased aspect ratio wings that will bring higher flexibility in structures digital conception and simulation need to play an everbigger role to reach a certified design that includes production scenarii before full manufacturing highend simulation is a spearhead research activity present in many fundamental and applied research activities the level of complexity of phenomena being solved through dedicated modeling techniques is constantly evolving and faces many challenges in validation and exploitation for better use of these methods the consortium will pursue the objective of scalability and representativity of results in the design process through appropriate machine learning surrogates benefiting from high performance computingthe didearot project aims at bringing a digital centrepiece approach that could integrate the move to more digital designs in the aircraft industry it will cover the robust optimization of composite structures focused on digital predictions of two key aspects in its lifetime manufacturing predicting distortions stress buildup and assembly challenges for evermore integrated industrial scale composite parts dynamic loads and impact predicting damage and effects from loads occurring at high speed or repeated loads over time that can lead to critical certification conditionswhile both aspects have been partially addressed by the research community the challenge we tackle here is to integrate them together in the testing pyramid up to an industrial scale for certification of structures and increase the reliance on digital technologies data or simulation driven to ensure optimized design approaches
modernist occupations time in the work of literary imagination

timeworks explores the temporality of work in british and american modernist writing few scholars as yet have found it worthwhile to study representations of labor in modernism assumed to be absorbed in subjectivity and form at the same time modernisms formal inventions continue to inspire reflection on temporality temporal forms timeworks argues present a key to the problem of work in modernism as work relates fundamentally to the social organization of time modernist preoccupation with the writers occupation in quest of liberated ways of living time offers a critical lens on the sociotemporality of work at a moment of historic transformation in social divisions of laborthis action proposes the first sustained study of modernist work and time examining modernist treatments of the writers time with due attention to dimensions of class gender and race this goal calls for a new approach to social time shifting focus from the diachronic axis of pastpresentfuture to the interplay of synchronous temporal forms modernist temporal experiments thereby inspire study of the sociotemporalities of work in literature and culture more broadly a new humanitiesbased approach to the socioeconomic question of labor shows how aesthetic engagements can illuminate the role of work in organizing social timethe msca positions the researcher at the leading edge of emergent research on modernist work with the aim of leading larger projects on the sociotemporality of work in literature and culture training vital to this career path is enabled by the temporal experiments group at the university of oslo specializing in the aesthetic study of temporal forms and the leading modernist milieu at the university of pennsylvania home to many scholars working on economic topics in literature and culture secondment to bard college offers further expert supervision and the unique chance to contribute editorially to the fields foremost journal modernismmodernity
language augmentation for humanverse

luminous aims at the creation of the next generation of language augmented xr systems where natural languagebased communication and multimodal large language models mllm enable adaptation to individual not predefined user needs and unseen environments this will enable future xr users to interact fluently with their environment while having instant access to constantly updated global as well as domain specific knowledge sources to accomplish novel tasks we aim to exploit mllms injected with domain specific knowledge for describing novel tasks on user demand these are then communicated through a speech interface andor a task adaptable avatar eg coachteacher in terms of different visual aids and procedural steps for the accomplishment of the task language driven specification of the style facial expressions and specific attitudes of virtual avatars will facilitate generalisable and situationaware communication in multiple use cases and different sectors llms will benefit in parallel in identifying new objects that were not part of their training data and then describing them in a way that they become visually recognizable our results will be prototyped and tested in three pilots focussing on neurorehabilitation support of stroke patients with language impairments immersive industrial safety training and 3d architectural design review a consortium of six leading rd institutes experts in six different disciplines ai augmented vision nlp computer graphics neurorehabilitation ethics will follow a challenging workplan aiming to bring about a new era at the crossroads of two of the most promising current technological developments llmai and xr made in europe
improving patient outcomes and reducing cognitive load of clinical staff in intensive care through medicaldevice interoperability and an open and secure it ecosystem

over the decades technical developments have resulted in a variety of different medical devices that dominate todays intensive care work environment beside all the clinical capabilities and benefits these technologies provide devices also contribute to an increasing complexity in care using technology stresses the cognitive strain put on healthcare providers in critical care combined with a big lack of clinical staff the complexity leads to an enormous workloadto tackle these challenges the consortium consisting of four universities and their clinics and four industrial partners plans to demonstrate the benefits in clinical outcomes and workflow efficiency through standardized bidirectional interoperability of medical devices based on the new standard isoieee11073 sdc during the project sdc solutions will be provided for different usecases to reduce the quantity of alarms around the patient bed and securely distribute them to the responsible caregiver allowing to keep the alarms silent at the bedside furthermore algorithms shall be provided to analyse the root cause and urgency of an alarm the latter is supposed to support in decision making whether immediate action is necessary the it infrastructure and algorithms will be evaluated in four different clinics in addition aibased pattern recognition will used for early detection of patient deterioration in order to prevent negative longterm outcomes and prolonged icu staykey deliverable will be a targeted alarm system tas including several it tools on the industrial side and study reports on the effectiveness of the tas from the clinical partners realising this a standardised itsolution for monitoring icu patients should be the next step after the project on the long run it is intended to reduce alarms at icus significantly decrease stress for patients and care takers and as result enhance the quality of intensive care new technologies for data analytics will be developed and clinically tested to enable more reliable and individualised clinical decision support positive results and developments in this icucentred project may also be transferred to other areas in the patient care workflow
intravenous immune boost

what if we could finally treat metastatic patients and uncurable cancers like sarcomas hephaistospharma developed oncoboost the firstinclass intravenous tlr4 immunostimulant that will be a game changer in immunotherapy this innovation was discovered after 40 years of research from a woman entrepreneur who developed a mature scalable disruptive and ecofriendly platform oncoboost can cure hard to treat cancers as a standalone treatment but can also increase the efficacy of existing treatments our cure is injected intravenously and this changes everything we can offer therapeutic options for patients with metastatic cancers and hardly accessible tumors as such oncoboost can cure 10x more patients than competitors all limited to intratumoral injection hephaistos ambition is to become the european leader in immunostimulants with a platform able to supply the market with large quantities of drugs able to save millions of patients each year
bilingual experiences cognitive ageing and underlying mechanisms

the goal of the bilingual experiences cognitive ageing and underlying mechanisms became project is to examine the functional neuroplastic mechanisms underlying mitigatory effects of bilingual experience on agerelated cognitive decline while evidence is available for structural brain changes supporting bilingualisminduced effects on cognitive aging ca functional mechanisms underlying such effects are not yet well understood became aims to fill this gap by investigating the trajectory of bilingualisminduced functional neuroplasticity across the adult lifespan ages 1885 crucially adopting an individual differences approach related to measurable degree of bilingual engagement importantly although such benefits are thought to be rooted early in the lifespan evidence for the timeframe and conditions of their early emergence is scarce the choice of including the whole adult lifespan allows us to investigate these mechanisms and their emergence more directly from a lifespan perspective i combine behavioral testing with brain recordings via electroencephalography eeg eeg is widely used in cognitive neuroscience to assess brain activity and the degree of communication between brain regions functional connectivity in response to stimuli and at rest combining behavioral and eeg modalities will allow me to test bilingualisms effect on functional connectivity as well as its consequences for functional efficiency the minimum required neural activation to successfully perform a task this will enable a detailed evidencebased account of the protective effects observed in olderaged bilinguals and how they are built from earlier life stages by illuminating the relationship between multilingualism and resulting neurocognitive adaptations became will enable to capitalize on it as a health initiative with manifold societal implications and the potential to be translated into actionable policies exploiting multilingualism to ameliorate effects of ca