Dragon09/odtu_chatbot huggingface dataset:
innovative it tools for a circular textile economy driving sustainability and resource efficiency

the aidesigntex project aims to enhance the research profile of d university of technology tul fmttd in sustainable textile production by leveraging artificial intelligence and machine learning tools to develop easily recyclable or biodegradable textiles through networking and partnership activities with eu counterparts such as stavanger university uis ghent university gu and the catholic university of avila ucav tul researchers seek to expand their knowledge of the circular economy principles and their application to textile production the project aligns with the goals of the european green deal which aims to promote a circular economy and reduce waste the textile industry is a major contributor to environmental pollution with large amounts of water consumption co2 emissions and waste production by implementing ai and ml tools the project seeks to help textile producers adopt sustainable practices save resources and minimize environmental impact during longterm visits and complementary activities with the advanced partners tul researchers will acquire expertise in sustainable technology ecodesign awareness and administrative skills upon completion of the visits tul researchers will conduct training sessions for businesses and stakeholders in the d region to share their newly acquired knowledge and skills this knowledge dissemination will foster interest in cooperation and joint development of a future plan for sustainable textile production coordination and support activities will include lectures workshops and training sessions for experienced tul researchers and esrs to disseminate the gained knowledge and skills within the institution and beyond polish textile companies and interested entities from asian countries
ports as energy transition hubs

in february 2023 the president of the european commission highlighted a unique generational opportunity for the european union eu to secure its industrial leadership in the growing netzero industrial value chains the eu is committed to spearheading the twin transitions of digitalisation and energy system transformation and turning skills into highquality jobs the potent ports as energy transition hubs doctoral training network will explore the strategic role of europes ports in this transition it brings together a multidisciplinary network of academic and nonacademic partners to provide interdisciplinary and intersectoral research training for 15 doctoral candidates dcs the training is structured into thematic work packages transition infrastructure sociotechnoeconomic analysis and port governance and business models potent is designed as a leadership and inclusion platform with an encompassing approach for securing gender equality in recruitment supervision and training and in research design the dcs are supervised by at least three academic and one nonacademic supervisor academic supervisors are primarily category a researchers guaranteeing highquality research training nonacademic supervisors serve primarily in midmanagement and executive roles in worldclass organizations across the energy transition system guided by innovative doctoral training principles potent strengthens excellence interdisciplinarity global mobility and networking incorporating 15 academic and 18 nonacademic secondments the key innovative aspects of potent include stateoftheart knowledge integration and multidisciplinary research the programme offers robust career development support through a combination of local network and external skills training complemented by rigorous quality assurance measures the dcs will acquire the necessary knowhow and transferable skills to support the green industrial policies of the eu
rewiring the compositional security verification and assurance of systems of systems lifecycle

rewire envisions a holistic framework for continuous security assessment of opensource and openspecification hardware and software for iot devices and the development of cybersecurity certification in accordance with the requirements and guidelines of recent eu regulation cyber security act3 the proposed scalable and multifunctional cybersecurity platform will ensure the security throughout the life of the iot devices with continuous security auditing trust computing and theorem proofs for defining an hwbased microarchitecture for enhanced protection targeting to openhardwaresoftware vulnerabilities a certification procedure of the audited software and hardware components will propose new software security metrics and establish a layer of trust between stakeholders utilizing blockchain and smart contracts rewire will expand traditional cyber insurance models to account for both opensource hardware and software assets by ingesting security auditing results for estimating premium costs rewire will exploit a knowledge plane of metadata generated from application behavioral patterns and operations to determine appropriate security policies and properties to enforce on opensource hwsw to block potentially harmful instructionsrewire has invested in three carefully selected pilots automotive smart cities smart satellites which can address the ambitious objectives of the project customizable tee based on riscv micro benchmarking for quick and automated assessment of hw vulnerabilitybased on the above description rewire aims to safeguard the entire workflow of secure processing from the deployment and operation of swbased soses to their patch management when new exploits have been identified during runtime by providing new trust management mechanisms towards the auditability and certification of swhw opensource specifications
skills markets marriage and labor

the distribution of workers across jobs and across different geographic areas has major implications for growth social welfare and inequality it is complex but essential to understand the mechanisms behind the allocation of talents in the economy that is how skilled individuals choose their jobs and where they live however the existing literature on the distribution of skills faces two major challenges first it has largely neglected the role of the marriage market and family constraints although family formation and partner choice are intimately linked to career and location choices and these choices influence each other second it must go beyond the standard onedimensional classification of skills based on educational attainment alone this hierarchy underestimates the inequalities that exist between multidimensional and nonhierarchical skill sets skim2lab will address this challenge in developing stateoftheart multidimensional matching models with two specific objectives in the first objective i will analyze the interactions between the labor market and the marriage market using equilibrium models of matching where individuals and jobs are associated with multidimensional skill sets and are located in different places estimating these structural models on household data will reveal how family and labor markets affect wage disparities and occupational segregation by gender and regionin the second objective i will leverage big data such as online resumes and online job postings as well as machine learning and natural language processing technologies to extract skills at the most granular level build new relevant combinations of skills and include them in a competitive matching model this will make it possible to propose a new method to identify rapidly relevant emerging skills and their impact on wages and production
absorb nearby tidy identified candidates for ideal parteking available temporal extracapacity

besides the air traffic flow and control management atfcm benefits achieved through the implementation of stam mechanisms the fast pace timevariant dynamic characteristics of traffic during the execution phase cannot be counterbalanced by the rigidity technical staff or setup time requirements of low pace airspace capacity mechanisms diming the possibility to implement efficient and effective capacityondemand measures where and when they are needed anticipate aims to extend pretactical and tactical atfcm stam with a capacityondemand efficient and effective mechanism to benefit of the networking airspace capacity by a fine tuning distribution of workload among adjacent sector atcos at execution phase it aims to avoid the unnecessary regulations on the traffic demand on the day of operation while mitigating present latent capacity inherent to a fragmented management of sectors through a networkminded management of timestamp perishable mobile areas among sectors present proposal rely on the atm digitalization and the virtual centres to enhance present stam mechanisms with capacityondemand measures at operational level paving the way to new airspace capacity management mechanism considering the constant increment on traffic demand through the pairwise adjacentsector balancing mechanism to longer adjacentsector chains
engineering a living human miniheart and a swimming biorobot

cardiovascular disease cvd is still the n1 cause of death worldwide despite the significant efforts of academia and pharmaceutical industry to understand the different underlying causes of cvd they have been hampered by the lack of proper human cardiac models as the animal models have different physiology and gene expression from the human situation and the flat cell culture in vitro models are not capable of producing pumping motion which is the main function of the heart furthermore pesticides toxicity and risk for human health are controlled at a european level through a welldeveloped regulatory network however cardiotoxicity is not described as a separate hazard class while it can have longterm cardiovascular complications here we propose to make better predicative in vitro cardiac models by making a vascularized beating miniheart and a selfpropulsion swimming biorobot made by assembling human cardiac cells into 3d tissue structures using sacrificial molding and highresolution 3d bioprinting the miniheart and the biorobot will enable the scientific community to have a more realistic human cardiac model in vitro and a proper tool to assess the presence of cardiotoxicants in the environment this work will be done in a consortium of four parties with the necessary expertise ranging from heart development human pluripotent stem cells 3d bioprinting tissue engineering and biosensing to bring these engineered living tissues to reality
minimal submanifolds in arbitrary geometries as nodal sets towards higher codimension

the goal of this research proposal is to advance the calculus of variations of area in codimension higher than one specifically existence and regularity of its critical points minimal submanifolds and properties of its gradient flow mean curvature flow these are central objects in mathematics since three centuries and contributed to the birth of geometric analysis geometric measure theory and calculus of variations their nonexistence often reveals deep links between smallscale geometry curvature and largescale structure topology while the hypersurface case is by now well understood with several deep results in the last two decades very little is known in codimension at least two especially for unstable submanifolds not minimizing area several projects will focus on the intimate link between area and some wellknown physical energies phase transitions are understood to give diffuse approximations of hypersurfaces while vortices in models of superconductivity relate to codimension two submanifolds an energy proposed by me and d stern in this context is the abelian higgs model which i plan to use to extend the lagrangian mean curvature flow past singularities and to relate stability and regularity of minimal submanifolds which are two longstanding questions in geometric analysis among other projects by exploiting the much richer structure given by the pdes solved by critical points of this energy i will also look at candidates in codimension three and higher inspired by energies from gauge theory and others of ginzburglandau type relating stability and minimality in critical dimension and attacking other basic open questions finally i will also work on another set of projects exploiting parametrized varifolds a variational object pioneered by me and t rivire combining advantages of the parametrized and intrinsic viewpoints to study lagrangian surfaces and minimal submanifolds of higher dimension
knowledge and climate services from an african observation and data research infrastructure

the project knowledge and climate services from an african observation and data research infrastructure aims to provide concepts for developing the best available science and sciencebased services in africa that are needed to sharpen our common action on climate change as outlined in the paris agreement and the un sustainable development goals in particular sdg 13 take urgent action to combat climate change and its impacts the concepts we want to provide aim at improving the knowledge base on climate change in africa and developing the tools to combat the negative consequences of it this basic objective shall be achieved by a consortium that combines partners from africa and europe but also combines diverse experiences backgrounds and viewpoints the common goal is to provide a comprehensive concept that supports the important societal role of research outlined above by codesigning research capacities for climate change observation with societal demands and expectations in our case called climate services and to pave the way for their implementationthe specific objectives of the proposed project are a comprehensive design for a panafrican climate observation system developed on the basis of climate services as guiding design principle this shall be rooted in a comprehensive documentation of past and existing observing capability contrasted with scientifically justified requirements to identify the gaps a broad information network as basis for a successful and sustainable cooperation that connects infrastructure operators scientists data and knowledge users a community of practice in climate services agencies and funding bodies this will be achieved by a dense networking and knowledge exchange approach connecting to all important players on the global continental national and local level a solid strategy for implementation and usage in close connection to future actors and users
pulmonary drug delivery using low shear nebulization sprays

respiratory diseases are one of the leading causes of death worldwide the recent global pandemic of severe acute respiratory syndrome sarscov2 has made us realize that effective and widely acceptable therapies against such diseases are still lacking and urgently needed administering drugs through aerosolization directly to the lungs ie pulmonary delivery enables targeted therapeutic effects while minimizing side effects by reducing systemic drug exposure however generically aerosol delivery is not very efficient with only 515 of the initial medication deposited in the lungs this is primarily linked with a wide aerosol drop size distribution leading to inefficient aerosol deposition in the upper rather than lower respiratory tract in addition degradation of the medication during nebulization is also a challenge this project aims to bridge the gap between aerosol generation and the deposition and transport of medication into the respiratory tract we first propose an innovative soft nebulization method that reduces aerosol droplet coalescence by charging aerosols through friction we will then use this optimized nebulization method to investigate how medication aerosols impact on the mucus in the respiratory tract and devise strategies to enhance targeted aerosol deposition in addition we will investigate the transport of drug formulations within the airways in relation to their different rheological properties related to typical various respiratory diseases this project will establish transformable and applicable technologies for advancing aerosol drug delivery to the respiratory tract
lightfrozen dynamic covalent synthesis of organic semiconducting materials

designing the materials of tomorrow requires the development of conceptually different synthetic methodology creating large conjugated molecular scaffolds often requires many synthetic steps hindering their exploration and the discovery of new organic semiconductors photofreeze is a synthetic methodology that combines the best features of dynamic covalent chemistry and conventional covalent synthesis with this novel chemical approach a wide range of new functional materials will be developed namely underrepresented electronpoor organic semiconductors studied for their important optoelectronic properties these materials have become essential to the development of organic electronic devices such as organic light emitting diodes oleds organic solar cells oscs or organic field effect transistors ofets among others the key advantage of photofreeze is that a complex dynamic covalent library of nanographenebased polyimines in exchange can be quickly and irreversibly frozen by visiblelight irradiation via photocyclization such reaction retains and even strengthens the electronic conjugation between the starting materials this method holds a great promise in the development of a wide variety of imidebased complex conjugated molecular architectures by varying the reactants stoichiometry composition geometry and reaction conditions a specific target molecule can be prepared in a one potsequence photofreeze will be applied to synthesize various architectures including linear helical cyclic graphene nanoribbons conjugated macrocycles and covalent organic framework the methodology described here allows the synthesis of otherwise inaccessible or very tedious to prepare large and tuneable structures and solves fundamental synthetic challenges the proposed materials hold a great promise for novel high performances organic electronics and will be integrated into relevant devices guiding the design of future ntype organic semiconductors
datadriven bioinspired design of fatigue superresistant structures learning by nature and flying into the future

biological material science is a new research topic at the interface of biology and physical science having a common ground in chemistry physics mechanics and engineering during their evolution biological materials have developed a unique combination of properties to fulfil specific functions through a series of ingenious and distinctive design elements evident in different systems created by nature as an example butterfly wings have an extraordinary combination of lightness durability and iridescence we have merely scratched the surface of this knowledge exploring the basis of the unique performance of natural and biological materials a material science perspective has been widely adopted however the study of natural systems considering a structural perspective is still at its early stage and up to now we have not fully taken advantage of this potentially unique and immense source of design inspiration especially in the field of structural integrity and fatigue design butterfly is aimed to fill this gap in knowledge making a groundbreaking jump towards bioinspired fatigue design fatigue is in fact the most ubiquitous mode of fracture accounting for more than 80 of all in service failures in structural components however available design approaches are still deterministic and uselessly repetitive butterfly will for the first time develop a novel and reliable mechanistic approach able to capture the salient design principles allowing longterm durability of natural systems and will transfer this new fundamental knowledge to design fatigue superresistant structures building upon promising results from my research group i am convinced that butterfly will induce an utterly new paradigmshift in fatigue design inspired by nature with a considerable impact on industrial design practice paving the way to a new era of smart and fully optimized fatigue design
the worlds only bioprosthetic autoregulated artificial heart from total artificial heart tah to physiologic heart replacement therapy phrt

at carmat we have designed and developed aeson the worlds most advanced total artificial heart tah aiming to fulfill an unmet medical need by providing a credible therapeutic alternative to heart transplants for people suffering from endstage biventricular heart failure aeson is an active implantable medical device intended to replace the ventricles of the native heart in patients suffering from advanced heart failure the device is electrohydraulically driven with a shape close to that of a human heart once the aeson is powered it mimics the action of a normal heart providing mechanical circulatory support and restoring normal blood flow through the bodyaeson differs from other existing artificial hearts or tah total artificial hearts in its unique combination of three features pulsatility autoregulation and hemocompatibility with aeson carmat is creating a new therapeutic class of physiologic heart replacement therapy phrt
fascist literature three poetry competitions in fascist italy

fasclit investigates the relationship between literature and totalitarianism by focusing on three literary prizes which took place in the 1930s in fascist italy poeti del tempo di mussolini cervia and viareggio while mussolini never imposed predefined aesthetic criteria on art he thought a new literature would rise spontaneously from living in a truly fascist country what is common to the three prizes analysed is that they were controlled directly or indirectly by galeazzo ciano minister of press and propaganda from 1935 and from 1936 minister of foreign affairs thus they represent a prominent and concrete case study for exploring how fascist politicians tried to shape italian culture and how artistic and personal ambitions sought to contribute to the creation of the fascist civilisation mussolini called for the aim of fasclit is indeed twofold to reconstruct the history and dynamics of the three prizes and the networks of intellectuals involved based on archival work to analyse the prizewinning works by combining the traditional tools of literary analysis with the cuttingedge tools of digital textometry to understand what fascist literature meant for the fascists thanks to a multidisciplinary approach at the intersection of history sociology of culture and literature this project aims to systematically analyse the three prizes bringing together the political and institutional aspects and the cultural and literary dimension it will result in the publication of three peerreviewed articles and in the creation of an online publicly and freely accessible portal on literary prizes during fascism as such fasclit will not only offer the first scientific study of an as yet little explored historical and literary product by analysing the concrete relationships between literature and politics in fascist italy it will also pave the way for a broader understanding and further exploration of the interrelation between culture and totalitarianism