Dragon09/odtu_chatbot huggingface dataset:
automated crowd simulation with artificial intelligence

with the transformation of transportation from individual to public transport and the new climate goals of the european green deal public transportation faces major challenges in the coming years the number of passengers is expected to more than double stations must be quickly expanded to accommodate the increasing number of passengers remodeling existing stations is more complex than building new ones is error prone and quickly lead to costs and time explosionsnew methods technologies and processes are needed to solve this our project automated crowd simulation with artificial intelligence acsai focuses on exploring and combining existing deep tech solutions into a new one bim in combination with crowd simulation enables planners to digitally prototype buildings at early planning stages to prevent costly mistakes although bim speeds the process of data preparation a high computational effort is needed for the execution as a result only a few design variants or scenarios can be analysed as of todayto overcome this issue we combine simulation models with machine learning methods ai models shall be developed and trained with the help of precalculated simulation data the trained nn can give answers at the push of a button whether a design is compliant or not this accelerates the process enormously since it quickly sorts out designs that are not feasible thus only prechecked design variants will be simulated for final confirmation and optimisation the whole approach is a quantum leap in the planning process since it speeds it up and reduces the risk of planning mistakes enormouslywe have tested the approach for railway stations in a poc environment in the research project beyond the next step is to implement it in our crowd simulation software into a readytomarket product as a small company we cannot afford such big rd projects on our own and as a femalefounded company we hope to be a role model in a maledominated sector
molecular mechanisms behind filovirus entry and egress the role of viral glycoprotein glycosylation

filoviruses are amongst the most dangerous human pathogens they pose a great health concern due to a growing number of emerging species that vary in tropism and pathogenicity in my work i aim at establishing a correlation between filoviruses pathogenicity the characteristics of their interaction with the cell membrane and their entry and egress potential in this context i hypothesize that viral carbohydrates are key in modulating these processes for this study i have selected a number of filovirus species distinct in their pathogenicity for humans i will use a transcription and replication competent virus like particle system trvlp as a bsl2 virus model and will produce particles presenting the glycoproteins gp from the different filovirus species of interest gp is the sole glycoprotein found on the virus surface and is crucial for filovirus attachment and entry using an interdisciplinary approach combining virology biophysics and glycobiology i will first carry out infection assays to characterize the entry and egress potential of the different particles i will further investigate the role of two key attachment molecules heparan sulfate and dcsign in modulating those processes this will be achieved first on the cellular level and then on the molecular level using single molecule force spectroscopy to look at the characteristics of individual ligandreceptor bonds extensive glycomic analysis amongst other via mass spectrometry will further address the hypothesis that the gps glycan profile plays a key role in determining the behaviour of the different filoviruses taken together i will provide a comprehensive description of the influence of the different gps in viral entry and egress on the molecular functional and biological levels such insights will without doubt be key to the development of efficient and broadspectrum antivirals
dwelling with crisis home at spaces of chronic violence

this project elaborates ways of making home among those dwelling in societies facing protracted crises it traverses through various landscapes to look at ways in which people make home in spaces that are familiar yet repelling incapacitating and altogether negating in nature such landscapes notably in lebanon the west bank and gaza reflect various forms of crises engendered around economic collapse infrastructural shortage prolonged conflictsituation andor continuation of war by other means these crises force us to pose a key question on what it means to stay and make a home in spaces that constantly expose life to disruptions incapacitations and material negations how does one dwell in crisis the project responds to this research challenge via groundbreaking research that goes beyond the stateofart on three fronts firstly it generates vast empirical knowledge on what it takes to dwell in crisis and conflict areas and with the political conditions they establish by focusing on spaces that violently separate distance and amputate people from their familiar everyday spaces through constant affective disruptions material deprivations and conditions of incapacitation secondly it does so by developing negativity as a novel methodological tool for approaching dwelling as a tension between homemaking and spaces of exposure thirdly it offers a novel conceptual elaboration of negativity as a worldly condition which challenges the paradigmatic notions of materiality affect and dwelling in current posthuman thought designed for highgain outputs the project takes a high risk in offering groundbreaking research that aims to fundamentally rethink the negative foundations of humanworld relationship by focusing on ways in which negative material and affective bindings align with incapacitating political conditions in prolonged crisis and conflict situations
harnessing an energyexpending appetitesuppressing fatbrain axis to unlock novel pharmacotherapies

obesity and cardiometabolic diseases are global crises that threaten to cripple healthcare infrastructures these disorders originate from an excess calorie burden caused by consuming too much food and expending too little energy yet despite recent advances in obesity drugs weightlowering pharmacotherapies only reach about half the efficacy of surgical interventions this difference could be due to existing drugs only acting to reduce food intake and not boost calorieburning therefore i believe our discovery of a leptinindependent signaling axis between adipose tissue at and the central nervous system cns that both decreases food intake and increases energy expenditure poses a breakthrough in obesity research we uncovered this axis through receptor profiling and human genetic association studies and engineered a highly selective agonist that significantly decreases bodyweight and improves glucose and lipid homeostasis in obese mice our preliminary data have already led to a spinout company however the physiological signaling mechanisms of this receptor in at and the cns that shape systemic energy balance through peripheral calorieburning and central control of food intake remain unknown thus in heatup we will delineate at and cns receptor circuits with single cell resolution and functionally test this signaling in 3d cultures of mouse and human at tissuespecific contributions to wholebody metabolism will be assessed by combining our proprietary selective agonist with stateoftheart viral genetic and surgical manipulation of the receptor and neuronal wiring in at and the cns viral and genetic celllabeling strategies will be used to characterize novel secretory cells that we found in mouse and human at to contain the ligand for this receptor collectively these studies will provide a comprehensive physiological overview of a previously unknown fatbrain signaling axis and insight into its potential for counteracting metabolic diseases
timescalecontrolled transformations for colloidal multielemental nanocrystal design

colloidal nanocrystals ncs represent an exciting material class where surface and finitesize effects result in prominent physicochemical phenomena bottomup colloidal methods have demonstrated unmatched control over nc properties by enabling their synthesis with defined sizes shapes compositions elemental distributions crystal habits and surface chemistry however the field is moving toward sophisticated nanomaterials where complex compositions unconventional elemental mixing patterns and precisely engineered lattice defects offer advanced optical and catalytic functionalities among others unfortunately these nc features and their technological impact remain largely unexplored due to the high energy barriers and outofequilibrium conditions often associated with the required synthesis processwith time4nano i envision establishing a novel bottomup colloidal methodology timescalecontrolled nc transformations tnt where the combination of pulsed laser irradiation and wetchemical strategies are exploited to create highly outofequilibrium conditions required for multielemental nanomaterial creation to achieve this i will interrogate the interplay between laser conditions chemical and colloidal environment and nc characteristics in the controlled transformation of colloidal nc chemical composition objective 1 elemental distribution objective 2 and lattice defects objective 3 if time4nano succeeds it will bridge current knowledge gaps in tnt methodology paving the way for nanoscale matter manipulation by merging laser technology and wet chemistry in an unprecedented manner this will lay a foundation for producing nanomaterials with tailored physicochemical functionalities promising transformative advancements in areas like catalysis energy storage sensors and optoelectronics
terahertz optoelectronics in bilayer graphene

the terahertz thz spectrum which lies on the seam between the optical and electrical spectral ranges is ubiquitously important for science and technology from chemicalbiological sensing to stellar exploration nevertheless the development of thz applications has been hindered by the sparsity of highperformance and lowcost optoelectronic devices due to the limited response of common electronic and optical materials in this spectral range here i propose to develop a new thz optoelectronic platform that is based on 2d materials of bilayer graphene structures taking this approach i will realize a variety of new thz optoelectronic devices that can be electrically controlled and are highly compact and lowcost outperforming the state oftheart topblg will constitute a transformative breakthrough in thz optoelectronic devices beyond thz technology i envision that topblg will have great impact on the integration and dissemination of 2d materials into the microelectronicsoptoelectronics technological market
ultrastable highly efficient lowcost perovskite photovoltaics with minimised environmental impact

the decarbonization of the energy sector to mitigate climate change is a key challenge for the european union eu this mandates a rapid and widespread implementation of a clean and affordable energy infrastructure in which photovoltaics pv will be a main pillar currently pv represents only a small fraction of the global energy supply and pv modules are almost exclusively imported from outside the eu associated with supply risks and a high co2footprint emerging perovskite pv has a tremendous potential to overcome these issues and revolutionise the eu energy sector to unfold this potential the diamond project joins 6 european leading universities ugroningen uuppsala epfl urometv uporto umarburg 2 research institutes fraunhofer ise cea and 4 industry partners dyenamo bedimensional solaronix pixelvoltaic from 7 different countries to develop ultrastable highlyefficient and lowcost perovskite pv with minimised environmental impact to achieve stabilities far beyond all previous achievements of pv solar cells the project targets to develop novel hermetic encapsulation approaches and highly stable device designs that are evaluated by standardized and novel stability assessment methods diamond also aims to optimise materials and cell stacks to reach efficiencies exceeding the record values of silicon pv fully printable module architectures are targeted for rapid industrial upscaling allowing for lowest manufacturing costs and local production in the eu to minimise the ecological impact specific device designs that enable lowest co2footprint material criticality and toxicity together with enhanced recyclability are targeted combining these ambitions diamond strives to provide a strong impact on the eus future environmental economic and societal development paving the way for an eumade sustainable energy technology with lowest co2footprint that ensures a full integration into the circular economy
identity compression a fundamental breakthrough in social identity social information and social polarization

the breakthrough to be pursued in idcompression is that social polarization is information compressibility where attitudes provide redundant information about group membership idcompression proposes that a polarized social information system is a socially comprehensible one where it is easy to categorize people into groups and identify social outliers since comprehensibility depends on regularities this will consequently be a compressible social information system if successful this radical theory of social normativity will explain how 1 social identity becomes embedded in social information via social interaction 2 information thereby becomes comprehensible in social identity terms 3 comprehensibility of identityladen social information is a form of information compressibility 4 compressibility facilitates group processes making positions comprehensible and socially meaningful 5 the structure of the social information system provides conversion pathways where a the probability of someone taking a new position depends on the ones they already hold b taking a new position shifts the holders identity and makes a new range of positions accessible c chains of transition probabilities form pathways through the identityinformation space and d the structured social information system is dynamically constituted by the positions expressed by the people within it 6 compressible social information systems are ripe for pernicious polarization particularly in situations of intergroup threat affective polarization or zerosum outcomes 7 social media interlocks with psychosocial processes in ways that can accelerate pernicious polarization this radical new understanding of social normativity will show how social identity dynamically interfaces with social information allowing us to understand how important social issues eg climate change global health crises become identitycharged and polarized
an innovative implantable device and management platform to prevent chronic fluid congestion

pathologic fluid overload is a main clinical complication of congestive heart failure chf chf is a severe chronic disease affecting 28 m people worldwide around 8 m of chf patients are resistant to oral medications and undergo frequent hospitalizations to remove extra fluids with aggressive acute treatments all carrying severe complications none of these treatments can prevent fluid accumulation the israeli sme paragate medical has developed filbert a unique implantable peritoneal ultrafiltration system for diuretic resistant chf patients it enables 247 monitoring and gentle draining of extra fluids in the urinary system preventing their accumulation a remote treatment management platform allows physicians to continuously control patients conditions and timely adjust therapy to prevent fluid accumulation filbert shifts the paradigm of fluid congestion care from the hospital to the home improving patients quality of life and saving billions to healthcare systems
a dynamic ultrastable randomaccess rna retrieval database

in order for dna to become the information storage medium that serves as an alternative to existing digital storage solution technologies information must be stored stably in it with the means to repeatedly access and manipulate parts of the stored data only few in vitro approaches are capable to address some of these requirements while in vivo approaches still produce largely static data storage libraries which limits the reallife applicability of these technologies in this proposal we present a new regeneratable solid state storage system consisting of beads where information encoded in single stranded dna strands can be added selectively accessed and removed using enzymes and nucleic acid strands as inputs for the different data operations in isothermal reactions with no loss of material to achieve this a strand architecture is proposed where unique data id sequences are used on the targeted data strands for performing the intended data operations via enzymatic reactions addition deletion of data and transcriptionbased data access furthermore a variant of this system is proposed that uses rna molecules for the selective access of the data strands which we aim to implement in a bacterial data storage system as well where rna encoding bacteriophages will be used as a noninvasive way to introduce inputs for the data operations such as random data access and removal finally we present the use of damage suppressor proteins from extremotolerant organisms complementing the in vitro and in vivo system to provide the longterm stability of dna observed in resilient biological systems
pebble growth and drift across gaps carved by giant planets

the intricate processes governing the birth of planets take place inside gaseous protoplanetary discs around young stars when planets grow beyond neptune in mass their gravitational influence perturbs the gas density in their vicinity creating pressure bumps or shallow gaps that effectively halts the inward drift of millimetre to centimetresized dust aggregates often referred to as pebbles from the outer reaches of the disc consequently pebbles accumulate at these pressure bumps creating dust rings observable through observatories such as alma classical numerical simulations of planet formation frequently assume a monodisperse pebble size distribution contrary to revelations from prototoplanetary disc observations where pebbles come in various sizes and compositions influencing the dynamics of planet formation the planetdiskos project aims to develop a comprehensive model that considers grain size evolution and pebble filtration by gas giants while accounting for variations in pebble composition and porosity a novel methodology is proposed to model selfconsistent grain size evolution and pebble filtration by gas giants this approach promises to enhance our understanding of the prevalence of superearths in the presence of outer jupiterlike planets and the heavy element content of gas giants synthetic exoplanet simulations will be conducted integrating compositional properties to compare with observed exoplanet populations early results from my numerical simulations of pebble filtration demonstrate the potential to achieve the goals of the project working with a team of experts in planet formation and cosmochemistry at starplan i will acquire the needed skill set to execute the planetdiskos project opening new avenues for advancing the theoretical framework of exoplanet formation
next generation battery management system based on data rich digital twin

the eu roadmap towards a climateneutral economy by 2050 sets ambitious decarbonisation targets that shall be achieved by a massive deployment of renewable energy sources energy storage improves grid flexibility and allows higher penetration levels of renewable energy sources to create a decarbonised and more electrified society by means of leveraging secondlife batteries battery management plays an essential role by ensuring an efficient and safe battery operation however current battery management systems bms typically rely on semiempirical battery models such as equivalentcircuit models and on a limited amount of measured data therefore energetic project aims to develop the next generation bms for optimizing batteries systems utilisation in the first transport and the second life stationary in a path towards more reliable powerful and safer operations energetic project contributes to the field of translational enhanced sensing technologies exploiting multiple artificial intelligence models supported by edge and cloud computing energetics vision not only encompasses monitoring and prognosis the remaining useful life of a liion battery with a digital twin but also encompasses diagnosis by scrutinising the reasons for degradation through investigating the explainable ai models this involves development of new technologies of sensing combination and validation of multiphysics and data driven models information fusion through artificial intelligence real time testing and smart digital twin development based on a solid and interdisciplinary consortium of partners the energetic rd project develops innovative physics and databased approaches both at the software and hardware levels to ensure an optimised and safe utilisation of the battery system during all modes of operation
elucidating the cellular basis of therapeutic resistance in crohns disease

crohns disease cd is a chronic inflammatory disease that affects the gastrointestinal tract affecting millions of people worldwide and presenting a considerable economic burden to health systems cd has a serious impact in quality of life not just physically but also emotionally and socially pathogenesis results from a complex interaction between environmental factors microbiome genome and inflammatory system leading to disruption of the intestinal mucosa the imbalance between inflammatory and regulatory cells in maintaining an active disease is well known and most therapies aim to stop the cascade of inflammatory and proinflammatory cytokines ie tnfblockade one of the major challenges for treatment is the fact that not all patients respond to therapy moreover the mechanisms behind resistance are still not completely understood making it hard to correctly stratify patients as responders and nonresponders at time of diagnosis we aim to elucidate changes in immune regulation that explain primary response failure to tnfblockade in cd we hypothesise that dysfunction of regulatory cells may prevent reinstatement of homeostasis following inflammation targeting we will establish singlecell transcriptomics of immune cells from biopsies at the time of diagnosis as well as in patients responding to treatment and nonresponders then we will use computational methods to investigate how immune cells change with time acquiring a state supporting therapeutic resistance moreover we will illuminate the relationship between immune dysregulation and anatomic niches using spatial transcriptomics finally we will analyse paired peripheral blood samples for the identification of putative biomarkers for stratification of patients according to tnfblockade response this proposal will provide unprecedented insights on the mechanisms involved in therapeutic resistance in cd which could potentially lead to the development of new treatment approaches