Dragon09/odtu_chatbot huggingface dataset:
foundations for sustainable security

security and efficiency are often seen as a conflict it already consumes 11 of electricity globally with a steep upwards trend resource sharing increases efficiency but introduces information leakage vulnerabilities such as meltdown and spectre reducing reliability margins also increases efficiency but introduces fault attacks such as rowhammer and plundervolt this reveals a fundamental problem in current systems reliability mechanisms are not designed with adversaries in mind security is then patched on top of reliability mechanisms incurring additional energy costswe will overcome the conflict between security and efficiency with novel foundations to make security sustainable and use security to increase efficiency we will research how to measure the efficiency of security design principled and efficient security mechanisms utilize security to increase efficiency secure microarchitectural optimizations and secure lightweight isolationour methodology is to integrate principled cryptographygrade security into all system layers to minimize and supersede inefficient reliability mechanisms we will develop a framework for finegrained energy efficiency measurements we will research finegrained replication for sidechannel isolation maintaining efficiency we will explore selective resource sharing for secure variables enclaves and virtual machines superseding todays inefficient and insecure techniquesthe originality of fssec stands out in that energy efficiency has played no role in security so far in particular using cryptography to replace established error correction methods will be the key to our goal of using security to increase efficiency by 20 compared to current systems we will construct secure optimizations with finegrained isolation increasing the efficiency without adding side channelsasstprof daniel gruss heads an internationally renowned security research group fssec will fund 6 phd students
fostering circularity in textile innovative interoperable solutions and best practices for implementation and harmonization of epr schemes

circulatex with its multidisciplinary approach aims to support the eu strategy for sustainable and circular textiles by facilitating the redesign of textile value chains through the adoption of a circular approach and ensuring compliance with the expectations of extended producer responsibility epr schemes and european directives the project will delve into the failures and gaps in the current textile value chain particularly in terms of technological environmental economic legal and social aspects and will explore the effectiveness of epr schemes and other technological and nontechnological measures to maximize the sustainability of the textile sector the project will employ cocreation approaches to engage all stakeholders in the value chain and relevant case studies to develop actionable recommendations for circular textile management these recommendations will include solutions to enhance the scalability of textile recycling and reuse through ecodesign strategies efficient systems for material composition identification and labeling to support textile collection and sorting as well as traceability of information and innovative approaches for reuse and waste treatment circulatex aims to provide evidencebased criteria for the harmonized implementation of epr schemes and associated policies across the member states an innovative labeling system in line with the digital product passport and ecodesign for sustainable products regulation directiveespr will be developed to provide consumers waste collectors and reuserecycling organizations with valuable practical information and promote reuse and the uptake of secondary materials in the market the findings initially applied and validated across four case studies are expected to be expanded and replicated in various textile market segments and eu countries
codasip highend processor ip and highlevel design tools for riscv

codasip offers a unique combination of semiconductor processor ip based on the riscv open instruction set architecture isa and highlevel eda tool codasip studio providing outstanding flexibility and 5x faster time to market riscv isa can be used for a wide variety of applications ranging from low power and low gate count embedded cores to advanced high frequency application cores we are extending our portfolio of ip cores to include highend highperformance compute area complementing our cores that cover the power efficient embedded and mid range compute area a new generation of advanced core with a 9stage pipeline with outof order superscalar architecture called a90 the release of a90 will lead towards the a110 core with heavily speculative execution and an 11stage pipeline the design of these cores will simultaneously trigger a release of codasip studio processor design tool for highend compute including advanced features like support of out of order architectures
stretchable microorganic electrochemical transistors circuits for neural interfacing

this project is aimed at developing active soft neural probes for highresolution highdensity interfacing of the peripheral nervous system pns the availability of highresolution pns interfaces is key to the treatment and management of a number of common medical conditions such as neuropathic and chronic pain paralysis major depression and epilepsy two major challenges that hinder progress in this area are i mechanical mismatch between the neural tissue and the conventionally used neural probe materials eg metal wires ii the electrode density and spreading is limited by the use of passive linear probes this project seeks to address both these issues by developing miniaturized inert ultrasoft e50kpa multiheaded probes which can be actuated in situ to record from a large volume of the neural tissue with high spatial resolution this is combined with integration of multiple active neural transducer elements and integrated amplification circuitry for high signal fidelity and integrated multiplexing circuitry for addressing into each probe arm this approach simultaneously increases spatial resolution and signal fidelity of neural interfacing while enabling chronic implantability due to decreased chronic immune response and scarring through the inert and mechanically compliant nature of the probes as well as minimized tissue damage during implantation
tool to ensure safe digital lives for kids and teenagers

aiba creates safe digital lives for kids and teenagers we do realtime detection of fake profiles and unwanted behavior such as cyber grooming toxicity harassment and bullying in games and social media our machine learning powered moderation service will make moderation easier for our customers we risk score all ongoing conversations realtime on gaming and social media platforms and help our customers to prevent unwanted behavior before it makes any harm we help them stop cyber grooming early and our initial results show we can detect grooming coversations in less than 20 messages our service is powering our customers with increased community health and more efficient moderation through proactive and continuous risk scoring they can save huge amounts of human hours by using our solution our unique saas multimodal approach combined with machine learning makes for a new era in chatroom moderationwith a novel approach based on awardwinning research researchers and data scientists at aiba and ntnu have developed and trained machine learning models with text and keystroke dynamics to detect cyber grooming and other unwanted behavior early so they can stop conversations to minimize harm and toxicity on their platforms the solution has been trained and tested on short texts typically sent in a chat from this minimal amount of information the system has accurately been able to profile the chatter and determine both their age group and gender the solution has been further developed to perform a continuous realtime analysis of the text messages to mark suspicious conversations to do this natural language processing features turning text into numerical feature vectors are used in combination with machine learning techniques
unravelling the mechanisms for recruitment and activation of septal peptidoglycan hydrolases in staphylococcus aureus

peptidoglycan pg hydrolases are instrumental in mediating bacterial daughter cell separation via septum splitting an essential process for the ability of bacteria to multiply in a grampositive pathogen such as staphylococcus aureus the division septum is completed before pg hydrolases initiate septum splitting s aureus is an important pathogen as it is one of the most common causes of death by antibiotic resistant infections premature splitting of the division septum could expose an immature bacterial cell surface devoid of virulence factors leading to pathogen elimination by the innate immune system of an infected host hence the activity of pg hydrolases must be tightly regulated to avoid deleterious effects on bacteria including lysisinducing breaches in the cell surface that would lead to bacterial death s aureus encodes 19 pg hydrolases most of which have illcharacterized functions and regulation mechanisms in this project i will identify the complete set of pg hydrolases that have a role in septum splitting uncover their mechanisms of localization to the division septum and identify how they are regulated during the cell cycle and particularly what triggers their activation to initiate septum splitting at the right timing for this i will join the laboratory of prof mariana pinho itqb universidade nova de lisboa due to their unmatchable expertise in the field of staphylococcal cell wall biology and their commitment to promote my career development during the mscapf project this fellowship is a unique opportunity to develop my research and complementary skills acting as a critical steppingstone towards a tenuretrack faculty position
investigating transcutaneous auricular vagus nerve stimulation as a strategy to prevent cognitive aging tackling 3 basic questions

the number of people with alzheimers disorder ad and other dementia is expected to triple worldwide by 2050 to tackle the global burden of ad the european parliament acknowledges and points to the urgent need to develop interventions that can prevent or delay ad the locus coeruleus lc in the brainstem plays a key role in determining latelife cognitive decline and is considered a promising therapeutic target to prevent ad transcutaneous auricular vagus nerve stimulation tavns is a neuromodulation tool hypothesized to increase lc activity and in turn prevent cognitive aging evidence for an effect of tavns on the lc is mixed which undermines the discovery of tavns as a preventive strategy for ad the current project aims to reveal whether tavns increases lc activity in young and older adults to this end i will address 3 research questions first do short bursts of tavns increase lc activity in a parametricdependent manner in both young and older adults second does the effect of tavns on lc activity depend on the individuals background arousal state third does a short tavns intervention improve a cognitive function that relies on lc activity addressing these questions is key to learn how to effectively activate the lc through tavns and validate the mechanism through which tavns may prevent ad the project adopts a novel interdisciplinary approach integrating knowledge from psychophysiology subfield respiratory psychophysiology gerontology cognitive neuroscience of aging and neurostimulation tavns as a tavns and lc expert i am particularly suited to successfully conduct the project the fellowship will provide an exceptional chance to expand my expertise and receive topquality training from internationally established experts in the fields of cognitive neuroscience of aging and respiratory psychophysiology it will also allow me to establish my independent research line develop my career and expand my scientific network
the molecular basis of conductive and vascular tissue development in plants

plants contribute up to 80 of all biomass on earth despite their staggering diversity dominant land plants share a highly important characteristic the presence of a vascular system providing physical support and long distance transport this is however not a simple binary trait as some nonvascular mosses contain cells with conductive capacity resembling that of vascular plants available evidence indeed suggests that conductive tissues of nonvascular plants are functionally homologous to vascular tissues in vascular plants and can even be compared at a molecular level however the molecular players involved in conductive tissue development remain almost completely unknown moreover although key molecular regulators of vascular tissue development have been identified in the model plant arabidopsis very few are shown to be functionally conserved across vascular plants despite their importance for growth and development we thus have a limited understanding of the evolutionary conserved regulators of plant plumbing systemsin pipelines i will consolidate my expertise in singlecell applications and build a dedicated team to identify conserved molecular players specific to vascular and conductive tissues by combining multispecies comparative singlecell and spatial transcriptomics with gene regulatory network inference and characterize these factors using lossoffunction approaches by comparing this data i will determine the ancestral set of regulators sufficient to trigger specification and differentiation events in plants and validate these through introduction of singlecell sample multiplexing in a heterologous systemby unravelling the molecular basis of vascular and conductive tissue development and identifying conserved core developmental regulators the output of pipelines will act as a starting point for targeted engineering of vascular tissues which holds great potential for improving plant biomass and productivity in crop species
algorithms and game comonads

our modern society is driven by computers digital services and algorithms understanding their weaknesses and limitations is one of the main subjects of study of theoretical computer science probably the most studied aspect of algorithms is their efficiency of use of computational resources embodied as the running time of an algorithm parameterised complexity is a branch of theoretical computer science interested in determining whether there exists an efficient algorithm that solves a given computational problem the efficiency is determined based on the structure of the input datathe main limitation of parameterised complexity is that these analyses of computational problems are done on a casebycase basis this means that if somebody changes the problem or its parameterisation ever so slightly the whole analysis has to be redone from scratchto tackle this problem we propose to use game comonads a novel structural approach to logic in computer science the theory of game comonads draws its strength from category theory a wellestablished discipline of mathematics which specialises on compositionality reusability of its tools and highlevel of abstraction game comonads despite being relatively new have already shown to be a useful tool in the study of finite model theory which is an adjacent area of study of parameterised complexitythe primary goal of this project is to bring compositional tools of category theory into the setting of algorithms with game comonads acting as the connecting glue this project bring together expertise in category theory in the form of the applicant and expertise in parameterised complexity in the form of the host institution and the supervisor who will devote their efforts into bridging the gap between the two thusfar mostly disjoint disciplines of computer science and mathematics
finding exoearths tackling the challenges of stellar activity

fierce aims at providing the longneeded step forward to tackle the challenges of stellar activity on the search for exoearthsthe detection and characterisation of other earths planets with the physical conditions to hold liquid water and thus potential lifesustaining environments is a bold objective of present day astrophysics this goal continuously pushes the development of new ground and spacebased instrumentation however the quest for other earths is severely limited by astrophysical noise from the host stars whose signatures distort the spectra that are used to detect and characterise them existing methods usually circumvent the problem without a detailed understanding of the individual sources of variability this is insufficient to reach the required precision levels to enable the full scientific success of major exoplanet research facilities a new approach is clearly neededwith fierce the pi will employ his competitive team together with the strong participation in cuttingedge eso and esa projects and missions to break through in this obstacle the ultimate goal is to i develop novel approaches to identify model and correct stellar spurious signals in radial velocity measurements down to 10 cms and ii obtain a comprehensive understanding of the impact of stellar granulation and activity on the detection of exoplanet atmospheresto this end fierce will approach the problem of stellar noise from a whole new angle building a dedicated facility the paranal solar espresso telescope poet poet will connect to the recently commissioned espresso spectrograph and using the sun as a proxy allow to unambiguously identify and understand the sources of relevant variability in solartype starsambitious timely and feasible this project will provide crucial information for the success of present and future major efforts aiming at detecting and characterising other earths
agrobiogel international scaleup

agrobiogel is a novel soil improver that stores and slowly releases water and fertilizer it addresses many of the pain points and challenges of modern farming forestry plant nurseries and green houses all over the world1save up to 40 irrigation water2protect plantscrops from increasing droughts and erratic rainfall patterns3reduce agricultural input costs4convert agricultural non productive soils including 100 sand soil into agriculture productive soils5matching the urgent desire to replace expensive non biodegradable fossil based hydrogels with much cheaper organic hydrogels6agrobiogel as a product of widely underutilised lignin produced by the pulp and paper industry as well as the emerging biorefinery helps create value for this raw material thereby helping them not only expand their product portfolio but also reduce their carbon footprint and greenhouse gas emissions
soft actuators for wearables exoskeletons and augmenting robotics

softwear will create a highly interdisciplinary dn in the emerging and rapidly growing field of wearables with a unique focus on soft actuators for wearables and exoskeletons the primary objective of softwear is to train young researchers in the multidisciplinary science of soft actuators for integration in wearables and augmenting textiles this will be achieved by merging chemistry physics mechanics electronics textile technology design humantechnology interaction and ethics in a truly interdisciplinary manner while teaching essential skills in ethics product development ipr and industrial realisation thus providing a unique added value to the careers of the researchers this ambitious aim will be accomplished by onthejob training on innovative research projects developing beyondthestateoftheart soft actuator technology and integrating this into active garments and soft exoskeletons this will be carried out at leading academic groups and by immersion in applied projects at the industrial partners softwear will thus provide europe with highly educated researchers in the emerging field of wearables focused on integrating actuation this will put europe in a worldleading position in this field and will supply european companies with a highly skilled workforce in soft actuators and advanced smart textiles
dismantling redialing personalizing and implementing task shifting psychosocial interventions to treat and prevent common mental disorders in lowresource settings

reshift focuses on preventing and treating common mental disorders in people living in lowresource settings it aims at a dismantling psychosocial interventions delivered by non specialist providers into their components b evaluating each component efficacy and redialing the most effective components into a novel task shifting psychosocial intervention and c implementing findings through a worldwide coverage elearning platform reshift will also develop a publicly available calculator to estimate the efficacy of each component based on individual participant characteristics starting from an analysis of individual participant data from all randomized controlled trials conducted in the field of global mental health available on the matter reshift will pioneer a sophisticated study design to unravel which components work best and for whom identifying at the same time how participant provider and delivery characteristics moderate the outcome and how beneficial effects of the psychosocial task shifting interventions are mediated with this information it will be possible to tailor interventions according to the specific needs of diverse populations allowing the reshifting of available resources to the best of their use a mainstay of reshift is to activate ambitious implementation and dissemination measures to let a different range of stakeholders lay people organizations general public patient and family organization advocates to know about the project its aims deliverables and potential impact of its findings on the society training activities will last for the entire duration of the project and results will be presented in toptier international conferences and submitted to high impact factor international peerreviewed journals reshift is concrete and ambitious its findings will be globally applicable and serve as a blueprint and impetus for other projects aiming at promoting mental health equity
recapitulating and preventing epileptogenesis in early human brain network development

epilepsy is one of the most common neurological disorders yet current treatments fail to prevent seizures in more than a third of cases 37 most drug targets focus on seizure suppression however these are symptoms of abnormal developmental changes in the neural network the processes that give rise to epileptic brain regions are summarized by the concept of epileptogenesis therefore preventing epileptogenesis is critical for longlasting seizure freedom studying epileptogenesis is challenging as the developmental processes involved in it occur before birth during neurodevelopment itself recent progress in stem cell models however has the potential to change this the knoblich lab pioneered the use of human cerebral organoids to model disease invitro such as tuberous sclerosis tsc cortical tubers are the source of drugresistant epilepsy dre in tsc which our recent study eichmüller et al science 2022 uncovered to originate from a specific precursor cell type clip cells strong preliminary evidence shows that pathological processes are occurring in tsc organoids which recapitulate epileptogenic electrical biomarkers called high frequency oscillations hfosin this proposal i will utilise our brain organoid model to understand human circuitlevel dysfunction in epilepsy and identifyevidencebased causal treatment for epileptogenesis prevention therefore i plan to classify stages of epileptogenesis in human brain tsc organoids using largescale signal features and indepth molecular characterizations to identify biomarkers for abnormal circuit initiation and progression i will reveal stagespecific druggable targets for epileptogenesis and then test novel antiepileptogenic compounds on pathological network activity prevention together this project marks a change in the approach towards epileptic drug discovery to combat the significant socioeconomic burden of drugresistant epilepsy