Dragon09/odtu_chatbot huggingface dataset:
manufacturing guiding tool for circular and programmed biodegradable materials under open environment conditions

biodegradable alternatives offer a promising solution to plastic pollution and waste littering in the open environment in some specific contexts as they break down naturally under specific environmental conditions however it is often reported that many biodegradable plastics do not fully degrade in their receiving environmentmagicbiomat aims at developing a portfolio of circular biobased materials with programmed biodegradability demonstrated through 2 applications with highly concerning rates of littering mulching films and paperbased packaging tested in open environments conditions soil fresh water and marine and different eu climatesmoreover magicbiomat will address circularity by improving the durability of the developed biobased materials for extending lifespan of products as well as assessing mechanical recycling remanufacturing and reuseto enable programming of biodegradability of the biobased materials magicbiomat will develop a trustworthy artificial intelligence ai powered software to guide the design and manufacturing of novel materials according to applications requirements properties manufacturing and endoflife needs and conditions exploiting data from the project material development and biodegradation tests complemented with open access data this tool will foster adoption of novel biobased biodegradable materials by the industryprevention of waste littering will also be tackled through consumers and end users perspective for which behavioural studies will be carried out to develop interactive labelling and behaviour change strategies that foster useracceptance of the novel biodegradable materials
high efficiency high power density cost effective scalable and modular power electronics and control solutions for electric vehicles

focused on bev architectures with distributed multiple wheel drives and specifically inwheel powertrains highscape will explore the feasibility of a family of highly efficient power electronics components and systems and including integrated traction inverters onboard chargers dcdc converters and electric drives for auxiliaries and actuators the proposed solutions will be assessed on test rigs and on two differently sized bev prototypes the project will result in i component integration with the incorporation of the wbg traction inverters within the inwheel machines to achieve zero footprint of the electric powertrain on the sprung mass the functional integration of the traction inverter with the onboard charger and the incorporation of the latter and the dcdc converters within the battery pack and the implementation of multimotor and faulttolerant inverter solutions for the auxiliaries and chassis actuators ii novel solutions including the implementation of reconfigurable winding topologies of the drive as well as integrated and predictive thermal management at the vehicle level with the adoption of phase changing materials within the power electronics components iii the achievement and demonstration of significantly higher levels of power density specific power and energy efficiency for the resulting power electronics systems and related drives iv major cost reductions thanks to the dual use of parts subsystem modularity and modelbased design to eliminate overengineering and v increased dependability and reliability of the power electronics systems enabled by design and intelligent predictive health monitoring algorithmsthrough highscape the participants will establish new knowledge and industrial leadership in key digital technologies and therefore directly contribute to europes key strategic orientations as well as actively support the transformation towards zero tailpipe emission road mobility 2zero
forest surveillance with artificial intelligence and digital technologies forsaid

forests have an important role in the achievement of the objectives of the european green deal forest trees are increasingly threatened by invasive pests with many of them being regulated in the union territory forsaid has as an overall goal to develop a comprehensive combination of innovative digital technologies aimed at detecting regulated forest pests at an early stage surveying their occurrence in the territory and providing essential information for the adoption of phytosanitary measures to limit their spread and impacts the project adopts a multiactor and multidisciplinary approach tailored to develop and favour the adoption of digital technologies at different spatial and temporal scales associated with a selected list of important regulated forest pests the internet of things iot will be used to create networks of insect traps for major guilds of insects thanks to innovative deep learning analysis of images sent remotely from the traps robotized devices will be developed and tested for the automatic barcoding of the captured pests drones equipped with sensors will be used for the scanning of plant health status through the measure of physiological variables remote sensing techniques will be used to validate existing groundtruth data on the occurrence of tree alterations associated with abiotic and biotic factors and models based on artificial intelligence ai and machine learning ml will be developed to discriminate different types of stresses as soon as they appear an economic analysis will address the costs and benefits of using digital technologies for the detection and surveillance measures considering the economic environmental and social impacts of regulated pests in eu forests stakeholders from the forest sector will be involved in a multiactor approach to drive the research to applicable results and coconstruct guidelines for the best use of new digital technologies for forest pest detection and monitoring
deep ice deep learning artificial intelligence revealing the oldest ice climate signals

we are missing a central piece in the puzzle to understanding our earths climate its dynamics fundamentally changed during the midpleistocene transition when some 12 million years ago the oscillation between warm periods and ice ages shifted its periodicity from 41 to 100 ka a key set of information about this change was archived in the snow that fell at that time in antarctica at unique locations that snow is still preserved today in the deepest ice layers but does it still contain its original message aice will answer this key question specifically using chemical impurity signals which make up a large part of the ice core record about past atmospheric conditions for this purpose we take a new approach to study the oldest and highly thinned layers at unprecedented detail while conventional meltwater analysis delivers 1d cmresolution signals we go into 2d by imaging the chemical impurity distribution at micrometric scale in the solid ice core this way we can retrieve crucial information that is inevitably lost by melting the same ice matrix preserving the climatic record can act on it and ultimately destroy it through various processes causing impurities to relocate away from their original layer hence the goal is to identify the original layering by detecting postdepositional change through analyzing highlydimensional chemical images however human observers have clear limitations in detecting all the important details in such complex visual datasets this is why aice will add deep learning to deep ice artificial intelligence ai image analysis will be established through a comprehensive understanding of the chemical image features and their connection to postdepositional processes with this we can address the fundamental climate questions through deciphering deep ice in antarctica and elsewhere ultimately aice could revolutionize how we interpret the oldest paleoclimate signals in ice cores and other archives
intelligent and sustainable building management powered by crosssectoral lifecycle

datawise will develop and test building and building portfolio management tools leveraging crosssectoral lifecycle data on the basis of an open secure interoperable and scalable framework utilizing cuttingedge artificial intelligence and advanced analytics the methodology will integrate data from a variety of sources to provide a holistic understanding of building operations datawise will design and implement a scalable data architecture that ensures data quality privacy interoperability and sharing and a data sharing platform that will not only ensure interoperability and scalability but will also prioritize data sovereignty to secure data handling and preserve ownership control datawise will develop i a datadriven building performance management dbpm toolkit which will harness building information modeling bim data in conjunction with advanced data mining techniques through a digital twin ii an aienhanced lifecycle datadriven decision support ld2s toolkit this will serve as a versatile solution for wellinformed decisionmaking across planning renovation and sustainability domains through these tools the project will offer a suite of addedvalue services aimed at optimizing building management in various aspects electrical and thermal flexibility management aipowered energy forecasting and optimization smart sustainability comfort balancing for building occupants adaptive building risk resilience assessment circular lifecycle assessment predictive maintenance integrated sustainability performance management smart readiness assessment besides technological innovation the project also incorporates a supportive market and policy framework designed to offer evidencebased pathways for widespread adoption and commercialization
key code based on nanomaterials to protect services and products

nowadays counterfeit products seriously affect the global economy and can have a negative impact on security health and the environment due to the lower quality of their components the severity of the problem is estimated to reach 23t in 2022 causing eu companies a loss of 121b in sales and more than 671 000 jobs keeper project aims to provide a new technological solution for this challenge keeper is the first system combining a unique identification code with a virtually infinite number of combinations more than a septillion to certify the authenticity of the product and an unprecedented level of security ease of use and low pricekeeper is an innovative customizable solution based on two main assets nanoengineered inks to be applied on documents or product packaging as adhesive tags or directly printed in specific spots 3tag and an extremely selective verification technique by means of a dedicated reader 3check the specificity of the inks and highknowledge content make keeper technology extremely difficult or almost impossible to be replicated by reverse engineering processes keeper intends to complete the technological development and to validate with industrial partners the impact on massive use cases increasing the trl of the proposed solution supported by a sound and implementable commercialization strategy the first market considered is represented by the identity verification which is worth more than 10b globally and is expected to grow to 20b by 2022 according to research conducted by mckinsey the strong integration of a technology track and a business track and a multiactor approach that will bring together key actors of academia and industry sector will allow to deliver projectspecific objectives and enable alternative directions and options in the last phase of the project we will proceed to the establishment of a startup that will have the future objective of consolidating our presence in the reference market
hif1 in cancerassociated fibroblasts unveiling implications for the tumor microenvironment and therapeutic strategies

colorectal cancer crc is a leading cause of cancerrelated mortality worldwide despite significant advancements in understanding crc pathogenesis the clinical prognosis of crc patients is still poor due to metastasis dissemination cancer progression is often associated with the presence of cancerassociated fibroblasts cafs in the tumor microenvironment that regulate processes such as extracellular matrix ecm deposition and repression of the immune response the establishment of a hypoxic environment and activation of its main effector the hypoxiainducible factor1 hif1 are common features of advanced cancers hif1 is a transcription factor which regulates several genes that are exploited by tumor cells to escape from a nutrientdeprived environment and to survive as well as resist to treatment however the role of hif1 in cafs has not be addressed so far in crc this research seeks to elucidate the effects of hypoxia on different aspects of cafs function using in vitro functional assays and innovative coculture models with patientderived cafs and matching tumor organoids furthermore the study aims to unveil the role of hif1 expression in cafs during tumor initiation and progression using a colitisassociated carcinogenesis model and pinpoint the origin of hif1 cafs employing a lineage tracing model finally in silico analysis of scrnaseq data will allow to detect the subset of cafs that are responsive to hypoxia in different stages of carcinogenesis and in metastatic dissemination overall this project will study the unappreciated role of hif1 in cafs in the context of crc with the ultimate goal to pave the way to new therapeutic strategies
enabling the integration of multifunctional reliable metamaterials in reallife industrial applications for enhancing structural and vibrational behavior

the manufacturing industry is fundamental to the technological sovereignty and competitiveness of the european economy to maintain the leading position the sector requires continuous innovations exploring the limits of material properties this is particularly the case in highend technology applications such as lithography machines and microelectromechanical systems mems industry where the limits of conventional materials come into sight metamaterials built up from rationally predesigned architected substructures hold the promise to outperform conventional materials and redefine the boundaries of industrial design practices the metamaterial potential can drive the muchneeded transformational changes in european manufacturing industry however the widespread use of metamaterials is hindered by the lack of knowledge of i designforproduction principles for metamaterials ii integration at component and system level and iii designforreliability of metamaterials metramat will train and deliver 10 researchers skilled in metamaterial development by researching and creating a combined set of design simulation manufacturing testing reliability assessment and integration tools the involvement of mems lithography and additive manufacturing industries ensures that scientific training is tuned to existing industrial challenges requiring new fundamental solutions such as positioning accuracy sensor sensitivity or shielding of external vibrational disturbances with emphasis on design for manufacturability and reliability together with the transferable skills training secondments and network this will provide the doctoral candidates a strong basis for a successful career in industry or academia the new scientific insights engineering tools and educational programs to be developed within metramat program will pave the way to widespread manufacturing and application of metamaterials in european industry elevating it to the next level
an insulingold nanoplatform as enhanced antibodydrug conjugate cancer therapy

antibodydrug conjugates adcs have emerged as promising therapies by combining the precision targeting abilities of antibodies with the potency of chemotherapy drugs to directly attack cancer cells and minimize damage to healthy tissue however approved adcs show low efficacies in treating solid tumours due to inherent challenges these include design challenges which limit the drugantibody ratio and the ability to integrate multiple drug types and delivery challenges in which pharmacokinetics and tumor barriers limit adc accumulation and distribution within tumours in the framework of the erccog project we are developing gold nanoparticles gnps that harness insulin for delivery of large therapeutics including antibodies across biological barriers as part of this research we have recently revealed that these insulingnps can be further developed as an adc nanoplatform this goldenadc nanoplatform enables simple conjugation of large payloads of multiple antibodies and drug types shows efficacy in cancer cell models and enhances in vivo tumor accumulation together with deep penetration and wide distribution throughout the tumour in this poc proposal we will test our goldenadc nanoplatform for effective and safe treatment of triple negative breast cancer due to the potential high benefits that our nanoplatform can provide for this hardtotreat cancer which has a longstanding paucity of effective therapies within golden adc we aim to acheive significant progress in the technology development process by proof of concept demonstration of efficacy and safety of the goldenadc conjugated with multiple drugs in invivo triple negative breast cancer models we also intend to achieve business readiness via consolidating the ip strategy undertaking a comprehensive market analysis enduser engagement and developing the business strategy
fatigue life assessment of additively manufactured material through a hybrid framework

additive manufacturing am has been proven as a likely potential alternative to conventional manufacturing methods as it is able to reduce the global environmental impact of many industrial products one of the main obstacles that prevent am from expanding its application towards fulfilling the requisites of sustainability and green manufacturing is poor fatigue resistance of am material caused by multiple intrinsic surface and internal defects currently different postprocessing treatments are being used to tackle this challenge by enhancing surface regularity and reducing bulk defects despite the enhancement of fatigue resistance after the aforementioned treatments these are additional steps that result in longer production times and higher costs moreover due to the complexity of geometry and size sometimes am components cannot be easily postprocessed by regular treatments optimizing the am processes aiming at maximized fatigue life is a plausible solution that significantly minimizes the need for postprocessing however the main barrier here is the lack of accurate fast and economic prediction tools to correlate fatigue life directly to am process parameters flame will address the aforementioned needs and pave the way towards efficient fatigue life assessment of am via developing a hybrid framework through the association of physicsbased models and machine learning approaches it will improve the stateoftheart fatigue life prediction accuracy from 75 to 90 making them more economical by eliminating experiments and fast with an implementation time of less than 1 minute flame through its aforementioned performance will effectively maximize the fatigue life at the design stage which results in a reduction of postprocessing demand and a decrease in production costs moreover it boosts the advancement of am technology to replace the conventional methods paving the path to sustainable manufacturing and minimizing environmental impacts
providing operational economic appraisal methods and practices for informed decisionmaking in climate and environmental policies

the pattern projects general objective is to improve practitioners capacity for decision making on climate and environmental policies by developing an interactive online platform for the economic appraisal of policies and measures to reach this general objective the project will develop an operational integrated economic appraisal approach wp3 and 4 deliver guidelines to bridge expost and exante analyses wp1 build and demonstrate an effective participatory process to create 5 theories of change wp2 build a european community of practice for climate and environmental policymaking wp6 and create a onestopshop for all policy and decision makers to access and use the project results easily pattern will thus provide decisionmakers stakeholders and the public with more realistic and operational ability to systematically assess their policies and their consequences it will provide a basis for improving i methodologies techniques and models for conducting economic appraisal of climate and environmental policies ii the broader policy evaluation framework and practices currently used in european countries and their regions and iii tailored analysis and engagement strategies structures for the participation and cocreation with relevant stakeholders and key actors to enhance operational capacities and improve the impact of european policies on climate and environment overall results obtained from indepth expost and exante analysis of the patterns 5 case studies will bring new evidence on the effectiveness of various types of regulatory strategies instruments and approaches for climate and environmental policies and insights for the design and evaluation of the implementation of major european policies
divine epithets in sumerian literary texts and royal inscriptions

epithets express gods powers focussing on qualities needed for a particular ritual they create a more effective interaction with the gods this project will provide a catalogue of sumerian divine epithets from a corpus of ca 650 previously translated literary texts and royal inscriptions ca 25001600 bc the objectives of the project are 1 to create an online database of divine epithets found in sumerian literary texts and royal inscriptions from the old sumerian to the old babylonian period circa 25001600 bce which will be made available via the leipzig university website 2 to investigate their structure 3 to analyse the relationship between epithets and the intentions of the texts considering their function in narrative passages humandivine communications and intertextualitya relevant innovative aspect of the proposal is the interdisciplinary approach which combines the sumerological approach based on philology with the methodology and theoretical frameworks developed in classical and religious studies as well as jewish studiesdespite their role in understanding mesopotamian religion sumerian divine epithets have not been systematically collected hence the online database is a major desideratum in ancient near eastern studies and will fill an academic void providing for the first time an indispensable tool for further research on mesopotamian religion and languages and comparative religious studies new translations and editions of sumerian texts from the last 30 years and a better knowledge of the language now allow us to achieve a comprehensive catalogue of divine epithets being innovative the project will increase the level of research excellence in european humanities being groundbreaking in its field the online database of sumerian divine epithets will contribute meaningfully to the digital humanities in europe and worldwide