Dragon09/odtu_chatbot huggingface dataset:
artificial intelligence and sensorfusion systems in sustainable green robotics for precision agriculture

aigreenbots is a msca doctoral network that will implement interandcross multidisciplinary training career development and research collaborations for 11 researchers ie dcs doctoral candidates by an international and complementary partnership involving top universities research institutions agriculturerelated stakeholders living lab and robotic farm infrastructures and companies from different countries pt nl uk fr es to provide tomorrows talent with the skills and knowledge to tackle one of the major challenges of our society and the environment agricultural robotics for precisiondigital agriculture by engaging the dcs on a researchtoindustrial exploitation paradigm the aigreenbots doctorallevel training brings together academic and nonacademic participants from different areas robotics automation remote sensing for precision agriculture reliable artificial intelligence ai and probabilistic machine learning systems engineering probabilistic inference sensor fusion safety and realdeployment of agricultural robotics collectively aigreenbots will work with the researchers to develop new agribots platforms wp3 robotic perception and sensorfusion systems wp4 reliable machine learning wp5 decisionmaking under uncertainty wp6 safety and important legislation aspects will be learned as well wp7 currently europewide there are no phd training programs that focus on agriculturerobotics that expose students to such broad concepts and expertise yet there is a rapidly growing need for that research after completion of the project researchers will be fully capable of driving interdisciplinary research at the international level thus aigreenbotss structure will serve as a european platform for outstanding doctoral training in intelligent robotics for precisionautomated agriculture and digital farming
autonomous robots with common sense

autonomous robots such as autonomous vehicles cars and drones have the potential to revolutionize the way we work and live unfortunately current autonomous robots do not have common sense and may enter a catastrophic condition called lossofcontrol after failures the ultimate goal of this research is to enable a new generation of autonomous robots that are aware of their physical capabilities and limitations allowing them to act with common sense after failures to achieve this i propose a new paradigm in autonomous robot control artificial physical awareness apa apa requires accurate realtime knowledge of the timevarying stochastic safe envelope which is a subset of the statespace inside which safe operations of the autonomous robot can be guaranteed the safe envelope is stochastic and timevarying it contains uncertainties and will shrink after failures reflecting the reduced postfailure performance of the autonomous robotobtaining and utilizing the timevarying stochastic safe envelope in realtime represents a currently unsolved scientific challenge for the following reasons 1 the safe envelope cannot be measured directly 2 current safe envelope computation methods are realtime intractable andor do not take into account uncertainties and 3 no control methodology exists that allows for timevarying safeenvelope informed balancing of safety and performancethis multidisciplinary research combines new insights in timevarying stochastic state reachability analysis tippingpoint forecasting bioinspired envelope sensing and recovery and nonlinear faulttolerant control to develop the new apaautopilot system which is the main output of this research this research project has the potential to lead to a revolution in autonomous robot design and operations by providing transparent safety and performance bounds even after failures
spatiotemporal shaping of electron wavepackets for timedomain electron holography

advanced techniques of electron microscopy and spectroscopy require tools which enable to control various degrees of freedom of electron beams phase profile temporal structure orbital angular momentum etc the inelastic quantum coherent interaction between light waves and electron wavepackets allows to structure the temporal probability distribution of electrons with attosecond precision which may enable probing the coherent dynamics of optical excitations or plasmonic nearfields of nanostructures and metamaterials up to now only electronphoton interactions mediated by solidstate structures have been considered which have severe limitations in this project i will develop a versatile tool for quantum coherent shaping and full characterisation of the phase profile and amplitude of the electron wave function in electron microscopes the interaction will be mediated by the ponderomotive potential of spatiotemporally shaped light fields in vacuum the electron wavepackets will be controlled on nanometer spatial and subfemtosecond time scales that are natural for light waves the optical coherence imprinted to the electron wavepackets will be exploited in two ways i i will explore the possibility to transfer the temporal coherence from densitymodulated electron wavepackets to radiation and bound electron excitations in twolevel quantum systems by detecting phaseresolved cathodoluminescence and coherent smithpurcell radiation driven by swift electrons ii i will introduce timedomain electron holography which will exploit the temporal coherence of shaped electron wavepackets for phaseresolved imaging of optical excitations in nanostructures the approaches proposed in this project open new pathways for electronmediated optical quantumcoherent control and spectroscopy with atomic spatial resolution
intrahousehold responsibilities and financial decisions

much of todays policies addressing poors welfare are based on the presumption that women are more likely than men to use income in ways that improve household welfare an approach of predominantly targeting women however may overlook opportunities from how men could be encouraged to contribute more to the household welfare i develop a framework that joins empirical and theoretical findings on intrahousehold allocations and gender norms in developing countries by incorporating the role of intrahousehold responsibilities in spouses financial decisions i use a labinthefield experiment with spouses in ghana to map these intrahousehold responsibilities and evaluate their causal role on spouses expenditures and intertemporal decisions by demonstrating causes of inefficiencies in resource allocation and low savings my findings may help to inform on how womens role can be strengthened and on the potential for harnessing mens role in improving the household welfare
accessible mri

the amri accessible mri project by chipiron aims to develop and commercialize a breakthrough compact and affordable mri scanner operating at an ultralow magnetic field of around 10mt this radical innovation eliminates the need for costly massive superconducting magnets used in standard clinical mris chipirons proprietary squidbased detection system provides ultrahigh sensitivity to enable diagnosticquality imaging at 1001000x lower field strengththe goal is to make mri a vital noninvasive diagnostic tool accessible to a much wider population especially in developing regions and rural areas where current mri costs and infrastructure are prohibitive the open design of the device also accommodates patients unable to use traditional mris due to contraindicationsled by experienced technical experts chipiron has assembled proprietary ip and demonstrated core capabilities reaching trl 5 thus far the company has raised 43m from investors and grants chipiron is requesting a 25m eic transition grant which will be followed by a request for 15m eic accelerator investment to complete development through regulatory approvals and market launch over 20242027this longterm eic support will help derisk technical milestones and provide necessary scaleup capital it represents an ideal publicprivate funding mix tailored to the needs of deep tech medtech innovation the grant and investment will catalyze chipirons progress at a crucial juncture enabling this breakthrough deployable mri technology to benefit healthcare systems and patients worldwide
campus iberus international doctoral programme of interconnected universities

iberusinterdoc is an international doctoral programme of 4 interconnected universities of campus iberus aimed at recruiting 23 doctoral candidates dcs of excellence to develop interdisciplinary phd projects for 48 months in campus iberus territories campus iberus is the consortium of international excellence of the ebro valley bringing together four public universities from neighbouring regions in northeast spain universidad de zaragoza universidad pblica de navarra universitat de lleida and universidad de la rioja campus iberus strategy is set on the principles of aggregation internationalisation and specialisation on five strategic areas in line with the priorities of the smart specialization strategies ris3 of the four regions involved aragon navarre la rioja and lleida in catalonia 1 agrifood nutrition 2 health technologies 3 energy sustainability 4 social territorial development 5 circular bioeconomy dcs will be recruited in 2 calls open for 2 months to apply for a variety of research topics across those 5 areas appointments will be no later than m12 1st call and m19 2nd call to offer 48 months contracts the last 6 months of the contracts will be fully financed by own funds of campus iberus universities to cover 4 years even if exceeding the programme m606 the programme will offer dcs excellent supervision and professional development counting with preidentified potential supervisors proving experience and work in multidisciplinary projects and large networks of collaborators a total of 116 academic 48 and nonacademic partners 52 have associated to this programme to provide secondments trainings and career enhancing opportunities besides the networking events and special training programme organised by campus iberus this programme will make an imprint on the internationalisation and excellence that is long lasting at the institutional regional national and international levels
lily a breakthrough technology to prevent chemotherapyinduced hair loss

chemotherapyinduced alopecia cia is hair loss associated with chemotherapy treatment for cancer lily is a portable comfortable and effective cia prevention device that uses localised microvasculature compression therapy lmct to prevent cia the lily device uses this unique lmct technique to reduce perfusion at the scalp and prevent the destructive action of chemotherapy on hair follicles by applying a consistent lowlevel pressure between 35 and 60 mmhg to the local micro blood vessels which could deliver chemotherapy drugs to fastdividing hair follicles the vessels are temporarily compressed inhibiting drug deliverythe device comprises a proprietary pneumatic bladder network design and soft robotics system with the ability to noninvasively induce vasoconstriction in superficial vessels of the scalp to mechanically control tissue perfusion and an electronic control system for both patient management of the system and realtime feedback into the treatment protocol
supporting innovation in healthcare public procurementinnohsupport

innohsupports main goal is to bridge those gaps that hamper the progress in the definition implementation and adoption of innovative solutions in the healthcare ecosystem by offering a portfolio of advisory services for procurers stateowned enterprises smes and startups research and technological organisations innovation agencies and other organizations like investors responsible for promoting innovation procurementthese advisory services will include among others provision of training materials executive training interventions methodologies for innovation procurement dedicated coaching sessions innovation showcases scanning of relevant bidding opportunities matching with potential bidding partners acceleration services etcproject methodology is based on three pillars pillar i capacity building focused on building capacities and skills to the innovation procurement ecosytem pillar ii inventory of innovation procurement advisory services oriented towards the design and testing of a comprehensive set of advisory services covring the whole innovation process cycle pillar iii collaboration and matchmaking to foster the innovation ecosystem building by developing spaces for codesing and matchmakinginnohsupport is made by and for innovation actors the consortium brings together 7 partners 2 affiliated entities from 6 eu countries es nl ie bu beuk including a consultancy firm a university a public buyer and several associations with highly expertise within the public procurement of innovation in healthcare systems our target groups involve the whole innovation ecosystem actors public and private procurers stateowned enterprises smes and start ups research and technological organisations innovation agencies and other public bodies responsible for promoting procurement of innovation
deciphering rhinovirusmediated macrophages impairment through the establishment of human induced pluripotent stem cellsderived macrophages

a growing body of evidence suggest that viruses can modulate myeloid cells responses leading to long term impairment of monocytesmacrophages phenotypes whereas for virus directly infecting macrophages the longterm effects on these cells function and phenotype have been extensively studied for virus infecting other cell types the effects on macrophages have been overlooked yet recent data suggest that virusmediated modulation of macrophages can even occurred when the virus do not replicate in these cells indeed viruses have broader ways to modulate the innate immune responses than the one identified in permissive cells understanding the mechanisms of action employed by viruses to modulate macrophages responses could not only provide possible targets to eliminate the infection but also offer therapeutic options to preventavoid virusassociated pathogenesishuman rhinovirus hrv impairs macrophages responses upon secondary challenge with bacteria the host laboratory identified arpin as a critical factor targeted by hrv to alter the phagocytic activity of macrophages and showed that hrv16treated macrophages present a paralysed phenotype in terms of cytokine secretion the precise mechanisms governing the reprogramming of the macrophages are however not fully elucidated furthermore it is still unclear whether hrv needs to replicate within macrophages to reprogram their phenotype and functions therefore my objectives are to decipher i if hrv can replicate in alveolar macrophages and ii what are the hrvmediated mechanisms leading to impaired macrophages functionsmoreover the models employed to study macrophages present advantages but do not recapitulate organ physiology which plays a key role on the resident macrophage phenotype therefore i will develop a model of human lung alveolar macrophagelike cell laml derived from induced pluripotent stem cells hipsc to answer the abovementioned objectives
sales marketing campaign

emm is developing smart payload solutions with the focus on satellite electronics and onboard processing our first products smart processing module spm and smart power supply sps completed its first product cycles and first hardware designs are available the products complete into a smart onboard computer for newspace satellites operating higher performant payloads than typical cubesats nowadays can afford our smart processing module spm is an fpgabased systemonmodule providing data in the range of gbitsec throughput with realtime processing with the combination of fpga and processors our spm combines parallel and serial data processing while keeping the overall power consumption very low with builtin error correction coding and redundancy a reliable system is achieved implementation of artifical intelligence on the processors customized for applications yields cuttingedge technologyin order to gain more visibility on the market the next phase of the product development requires a strong sales marketing strategy and campaign these will include activities such as publications conference attendance building demonstrators social media appearance and update of business plan the marketing campaign will be proposed as a project for 2023
deep bayesian reinforcement learning unifying perception planning and control

for robots to assist humanity in homes or hospitals the capability to manipulate diverse objects is imperative so far however robotic manipulation technology has struggled in managing the uncertainty and unstructuredness that characterize human environmentsmachine learning is a natural approach the robot can adapt to a given scenario even if it was not programmed to handle it beforehand indeed deep reinforcement learning deep rl which has recently led to ai breakthroughs in computer games has been publicized as the learningbased approach to robotics to date however deep rl studies focused on known and observable systems where uncertainty was resolved by lengthy trial and error quickly learning to act in novel environments as required for robotics is not yet within our reachthe crux of the matter is the tight coupling between perception and control under high uncertainty the robot must actively reduce uncertainty while also trying to solve the task for complex and highdimensional systems we do not have a suitable algorithmic framework for thisin this proposal our overarching goal is to develop the algorithmic framework of using deep learning in problems that tightly couple perception planning and control for advancing robotic ai to reliably manipulate general objects in unstructured environmentstowards this end we shall develop neural network representations of uncertainty and algorithms that estimate uncertainty from data we will develop theory and algorithms for decision making under uncertainty bringing in a fresh perspective to the problem based on bayesian reinforcement learning bayesrl these advances will allow us to study safety certificates for deep rl and develop a general and practical methodology for learningbased robotic manipulation under uncertainty validated on real robot experiments aside from robotic manipulation we expect impact on various fields where decision making plays an important role
prehistoric fisheries assisting marine baselines

ensuring sustainable fisheries is one of the key issues to address the conservation of marine biodiversity and socioeconomic development such approaches usually operate based on fisheries records from the last decades which are proved to be inappropriate reference criteria for evaluating longterm impacts of fish exploitation whereas archaeological data is increasingly admitted as an essential source of information one of the most severely threatened marine regions is the indopacific which also holds a rich history of marine resources exploitation since at least the neolithic specific taxonomical identification of indopacific fish remains is still a pending task mainly due to the high diversity of fishes exploited and to difficulties in species identification from morphological analysis this situation impedes acquiring a deep understanding of the prehistoric fisheries and their impacts over time through the analyses of archaeological and modern fishes from the indopacific pristine will implement a back to the future approach to provide reliable ecological baselines and enhance our current understanding of fish exploitation from a longterm perspective by identifying and quantifying the range of fish species exploited dating back 5000 years to this aim pristine will apply cuttingedge proteomic methodologies to 1 develop a fingerprint collagen reference database of representative modern indopacific fishes 2 obtain the taxonomical identification of neolithic fish remains and 3 achieve a longterm evaluation of indopacific fisheries this research will contribute to attempts on the identification of healthy tropical reef fisheries and evaluation of anthropogenic impacts over time to assist in ensuring efforts to conserve the present and manage the future of marine scenarios
a new view of young galaxies with alma and jwst

the majority of the universes star formation occurred shrouded in cosmic dust making it extremely challenginghistoricallyto obtain a clear view of young z2 galaxy assembly while the atacama large millimeter array alma has already enabled significant progress including pioneering work by the pi to directly image this dusty star formation in early galaxies their existing stellar populations remain obscured at the same time our understanding of the molecular gas fueling that star formation is still limited to unresolved detections andor biased tracers fortunately we are on the verge of a breakthrough with the newly launched james webb space telescope jwst and the imminent arrival of alma bands 12 to this end the pi has obtained a suite of competitive proprietary data on jwst alma and band 12 pilot facilities fully capitalizing on this opportunity now requires a team of capable researchers by leveraging this data and a novel resolved spectral energy distribution sed fitting technique the proposed program will 1 reveal the hidden stellar populations in the dustiest young z25 galaxies for the first time testing predictions from hierarchical galaxy formation 2 detect and map the crucial co10 and co21 emission lines in a statistical sample of these same young galaxies directly measuring their full cold gas reservoirs via stateoftheart bayesian modeling and calibrating other lesswellunderstood gas tracers and 3 push studies of dust and gas in galaxies to the earliest cosmic epochs z65 including detecting their molecular gas via co32one of the key science goals for alma band 1thus revealing how the most massive early galaxies grew so quickly given her demonstrated track record leading a group and the wealth of data secured the pi is optimally placed to take advantage of this unique confluence of revolutionary instruments to provide a completely new view into how young galaxies built up their stellar masses
control and complexity in quantum statistical mechanics

developing a comprehensive theory of thermodynamics at the quantum scale requires a fundamental change of perspective with regards to its classical counterpart on the one hand measuring a quantum system will induce a nonnegligible backaction and an energy cost that is at least comparable to the energy scale of the system on the other hand controlling microscopic degrees of freedom and harnessing quantum effects provides novel opportunities with no classical counterpart in light of these facts control over different quantum features and quantum measurements themselves become valuable resources that need to be integrated into any selfcontained theory of quantum thermodynamics in this project we aim to address this grand challenge first we will develop a formal theory that includes control over quantum systems with fixed complexity to incorporate these concepts into thermodynamic considerations at the quantum scale second we will unveil the fundamental thermodynamic limitations on information acquisition by constructing a thermodynamically selfcontained description of the quantum measurement process finally we will carefully study current quantum technologies and with the help of our own lab and experimental colleagues we will devise experimental proposals and perform proofofprinciple experiments based on existing quantum technologies to make sure that the theoretical considerations describe relevant features