Dragon09/odtu_chatbot huggingface dataset:
propelling health and sustainability through innovative food products and processes

sustainabite has the ambition to develop innovative affordable energy and water efficient minimal processing solutions for plantbased ingredient and food production the produced food prototypes will ensure maximal nutritional quality and health benefits taking into account consumer perspectives our approach is to combine bioprocesses and nonthermal treatments that enable reduction of 30 energy and 50 water consumption compared to highly processed plantprotein isolates the technology concepts developed will reduce the consumer prices of plantbased foods by 25 compared to the commodity meat and dairy products making them more affordable this novel cobioprocessing concept will make a paradigm shift by disrupting the traditional plant ingredient processes which generate substantial sidestreams during production of highly refined isolates or concentrates sustainabite food prototypes aim to diversify the use of plant ingredients in various forms including liquids semisolids and solids this goes beyond addressing just the protein challenge as it utilizes the entire plant matrix to provide not only protein but also dietary fibre essential minerals antioxidants and vitamins this approach maximizes nutritional quality and offers associated health benefits the minimal processing solutions developed in sustainabite will aim at tailoring the structural architecture of the raw materials towards reduced antinutritional factors enhanced satiety nutrient bioaccessibility and sensory quality we will evaluate the effect of processing on macro and micronutrient bioavailability protein and starch digestibility as well as gut microbiome by developing improved realistic predictive in vitro models sustainability health and economic impacts of minimal processing will be assessed both at the product and system scales
novel in situ imaging technology to explore the ladder of vertical migrations to the deepsea

the pelagic deep ocean is the largest but leastunderstood habitat on earth harboring enormous fish stocks a rich and largely undiscovered biodiversity as well as a large carbon sink in the climate system as almost all life at depth is ultimately nourished by primary production in the surface ocean pathways of vertical connectivity are critical in linking ecological and biogeochemical processes across several thousands of meters one of the most enigmatic phenomena is the so far virtually unexplored ladder of vertical migrations this mechanism is hypothesized to link foodwebs across the entire oceanic water column through a complex interplay of feedinginteractions and synchronized migrations of a multitude of species thereby supporting pelagic life at depths of up to several kilometers so far very little is known about this phenomenon mainly due to the methodological challenges of studying organisms and their behavior at ecologically relevant spatial and temporal scales particularly under the extreme pressure in the deep sea seathrough aims for a breakthrough by providing a new set of glasses to study the so far unexplored ladder of migrations to achieve this we willa develop novel in situ imaging technology for unparalleled and highly detailed observations of organisms in the deep sea to 6000m depth who is where at which time and what are they doingb use this new deepsea imaging system on ship expeditions for targeted studies of the enigmatic ladder of migrationspushing the limits of in situ observation technology will reveal a holistic picture of biodiversity and foodweb structure providing novel insights into the functioning of deepsea ecosystems and their ecological and biogeochemical connectivity across the water column knowledge that is urgently needed for evaluating the ecosystem services of the deep ocean eg fisheries co2 sequestration as well as the sustainable management of this vast habitat
development of suprasensors and assays for molecular diagnostics

suprasense combines completely new strategies to design and realize biomimetic artificial receptors for bioactive small molecules ie metabolites with the aim of overcoming longstanding selectivity and sensitivity limitations that hindered other synthetic sensory systems from reaching diagnostic applications sophisticated yet easy to fabricate suprasensors will be developed based on unprecedented hybrid zeolitic materials whose binding cavities are modulated by peptidebased cofactors thereby mimicking enzyme pockets suprasensors will be functional and directly applicable for molecular diagnostics in urine saliva and blood and will be of utility in pointofcare units and personal homes emphasis is given to the detection of metabolites that are important disease indicatorsi am an expert on conventional synthetic chemosensors and have studied both their merits and fundamental shortcomings out of this deep routed analysis i developed the proposed ambitious strategy that marries principles of molecular recognition with materials science and chemistryinformed deep learning these suprasensors will advance the field through the following elements i highenergy water release from microporous materials ensures high binding affinity ii strategically placed peptidebased recognition elements provide selectivity while offering synthetic tunability iii informationrich signal output from suprasensor libraries enables metabolite distinction in biofluids iv novel signal amplification concepts increase sensitivity suprasensor discovery will be fast and generalizable to many metabolite classessuprasense has the potential to unleash supreme opportunities for multiparameter diagnostics which will be essential for patient subgrouping based on metabolic phenotypes the new concepts developed herein have the prospect to revolutionize early detection of emerging cardiovascular events inflammations sepsis and other metabolic or agingassociated diseases
getting ready for multivendor and multiterminal dc technology

power electronics is enabling radical transformation in the power grid and in particular it is opening the opportunity for a massive application of dc technology dc technology will increase the overall flexibility and efficiency of the infrastructure nevertheless this innovation comes with challenges in terms of interoperability when we consider networks with multivendors the concrete case of offshore wind farms is then the starting point for the transformation ready4dc will create the right conditions to establish a community of experts that will discuss all the implications of the process both from a technical and a legal perspective thanks to the work of a set of working groups with open participation position papers will be produced to create the proper conditions for consensus paving the way towards changes in the regulation and in the legal framework the results of this work will impact not only the offshore use cases but in principle all the application of power electronics driven grids and at every voltage level determining a very important step towards a futuristic infrastructure in which dc will play a central role at every level
multiscale iot equipped long linear infrastructure resilience built and sustainable development

long linear infrastructure llis earthworks eg road railway slopes pipeline bedding flood protection structures are more vulnerable to cascading and escalating failures due to their topographically designed spanning length and long operational lives with increasingly frequent severe weather conditions caused by climate change maintaining a high level of safety performance especially for the aged llis remains a constant challenge leading to an everincreasing amount of investment in maintenance current knowledge about how these assets deteriorate over time and how deterioration affects risk and performance is patchy the conventional engineeringoriented approach alone became insufficient to provide a solution to the complex problem like this as we accelerate into the 21st century the latest advances in technology through digitalisation by integrating new revolutionary data technologies of internetofthings iot and artificial intelligence ai offer opportunities to upgrade our llis and achieve new heights in safety and performance highlyskilled researchers and practitioners capable of dealing with such problems are scarce and in high demand by both academia and industry therefore formed with 11 worldleading research organisations and 6 companies across europe asia and oceania with expertise and facilities in earth observation geomaterial testing constitutive modelling data mining machine learning uncertainty quantification datadriven design and optic communication upgrade aims to ensure comprehensive robust and implementable solutions are obtained for llis resilience built and sustainable development the network is carefully designed to enable research and innovation staff exchange across all aspects upgrade secondees will enjoy a highly integrated interdisciplinary and intersectoral staff exchange sharing knowhow and skills development environment through the planned secondments networkwide events and local trainings
deciphering the intrinsic and extrinsic mechanisms shaping aging and leukemic evolution of hematopoietic stem cells at the single cell level

clonal hematopoiesis ch is an age related state in which a single and genetically defined hematopoietic stem cell hsc contributes more than expected to the hematopoietic pool due to the selective advantage conferred by genetic variants termed preleukemic mutations plms ch is a significant risk factor for hematological malignancies such as acute myeloid leukemia aml and myelodysplastic syndrome mds today the mechanisms by which plms provide selective advantage and why in some cases clones become leukemic is not fully understood this project focuses on understanding the dynamic changes that occur in human hscs in aging and disease at the single cell level specifically we wish to answer the following questions 1 what are the functional consequences of aging on peripheral blood hscs 2 what are the functional consequences of plms in ch but also in aml and mds in humans 3 which microenvironmental factors provide selective advantage to the mutated clones to answer these questions we aim at developing a new innovative approach that will allow us to interrogate thousands of single hscs from youngoldchamlmds patients to extract their genotype and their dynamic expression profiles at different time point of differentiation under different culture conditions this project will be performed in the weizmann institute one of the worlds leading multidisciplinary basic research institutions in the natural and exact sciences it will be highly interdisciplinary as it will involve collaboration with renown researchers from the computer science and the chemistry department in addition to the knowledge acquired in the lab and through the different collaborations the fellow will benefit from high level training through attendance of various courses seminars and international conferences overall this project should have great benefit for the career of the fellow
computational design of multimodal tactile feedback within immersive environments

these last years have seen an explosion of novel tactile technologies providing various haptic sensations across all the users body however while these technologies have now been made available virtual reality systems are still struggling to convey compelling tactile sensations for 3d interaction as of today tactile feedback mainly fails 1 to render multiple haptic stimuli in a spatially coherent manner 2 to achieve temporal integration of the stimuli compatible with the interactive framerates of immersive environments and 3 to preserve users immersion within virtual worldsadvhandture aims at targeting all the above limitations by introducing a groundbreaking computational approach for handling multimodal tactile feedback within immersive environments my original methodology proposes for the first time the introduction of perceptual data at each step of the design of the computational models dedicated to immersive tactile haptics thanks to its innovative approach advhandture will address the design of a physicsbased models able to simulate the rendering of various tactile inputs b computationallyefficient algorithms integrating multimodal tactile stimuli within immersive environments and c 3d interaction paradigms for combining multimodal tactile stimuli with multisensory informationin addition to significant advances in the design of computational haptic rendering models advhandture in the long run will considerably enrich our 3d interaction with virtual worlds by providing realistic multisensory feedback with multiple tactile sensations thanks to its multidisciplinary aspect advhandture will propose synergistic outcomes contributing to our understanding of the haptic perception of virtual worlds as well as the underlying models in the fields of computer graphics haptics and virtual reality
design and sustainability assessment of innovative biomass production systems and valuechains in the bioeconomy

developing the bioeconomy features high on the european policy agenda to tackle societal challenges such as climate change the phasing out of fossil resources or the advent of the much needed ecological and energy transitions however transitioning into an economy based on regionally available biological resources will substantially increase the demand for biomass from forestry and agriculture and may incur adverse effects on biodiversity greenhouse gas emissions or water resources comprehensive rigorous and transparent assessment procedures are thus required to ensure that the bioeconomy will deliver on its sustainability promiseassessment methodologies have so far failed to embrace the various dimensions of sustainability and the multiple facets and stakeholders of bioeconomy systems this lack of an integrated holistic approach constitutes the key scientific question that destiny will address by developing novel methods and tools as well as demonstrating how they can be mobilised to maximise systems performance in a range of generic valuechain casesstudies since such concepts mobilise a number of disciplines from agronomy and engineering to economics political and social sciences a novel type of scientist is warranted the bioeconomist the destiny doctoral network will train this new generation of researchers and practitioners through a multidisciplinary curriculum equipping 15 doctoral candidates with the knowledge they need to design and assess novel biomass production systems and bioproduct valuechains in their research programme at the crossroads between bioeconomy and sustainability science these candidates will design sustainable bioeconomy systems for europe factoring in social economic and governance aspects destiny graduates will bridge a wellevidenced gap on the labour market for the bioeconomy and will secure jobs in the agricultural and forestry sectors the bioeconmy industry academia consultancies and governments
electrochemical fluorination under microflow conditions

despite the prevalence of fluorination reactions of organic compounds in the pharmaceutical industry these reactions still encounter several problems such as low selectivity yield high demand on safety operational process and low sustainability introduction of fluorine into drug molecules increases the drugs lipophilicity improves its stability and pharmacokinetic properties thus the fluorination chemistry is of great importance in a pharmaceutical industry this project is focusing on fluorination and trifluoromethylation of functionalized piperidines organic compounds with several biological and therapeutic properties we propose a cuttingedge interdisciplinary approach to make the fluorination reactions more sustainable safe and to increase the reaction yield by transferring electrochemical fluorination reaction into a flow microreactor advantage of electrochemical reactions is that the side products are minimized as no chemical reagents are necessary the main advantages of microreactors are excellent heat and mass transfer properties and high surface to volume ratio the precise control of the temperature profile in the reactor and the residence time enhances process safety and leads to high reaction selectivity an electrochemical flow microreactor will be developed and optimized for fluorination reactions of piperidines collaboration of organic chemist and chemical engineers is upmost importance to succeed in this interdisciplinary project connecting organic chemistry flow technology and microreactor engineering proposed innovation will show a new specific application of electrochemical microreactor this is an important step in electrification of chemical and pharmaceutical industry which leads to overall higher sustainability of the chemical production in addition by overcoming above mentioned problems with fluorination reactions in the batch we will demonstrate that microreactors have a valuable place in the chemical industry
the multisensory brain in a social world when where and how do multisensory and social processes interact in the brain

sensory experiences are a vital aspect of human existence in everyday life our senses are flooded with input constantly picking up multiple unisensory signals at once in our brain these incoming signals are either processed separately or integrated into one unitary percept a process known as multisensory integration intriguingly this integration process can be affected by the social context people find themselves in for example such that people perceive certain perceptual illusions more intensely when experiencing them jointly with another person to date this effect has been observed on a behavioral level yet it is not clear what happens in the human brain on a neurophysiological and computational level thus in the proposed research i will investigate the interplay between multisensory and social processes from a neuroscientific perspective i aim to 1 identify when the social context affects multisensory processing 2 localize where in the brain the social context affects multisensory processing and 3 model how the social context affects multisensory processing to this end i will conduct experimental studies using a combination of electroencephalography eeg and functional magnetic resonance imaging fmri complemented by a cognitive modeling approach i will use eeg to address the temporal when and fmri to address the spatial processing dimension where to address the third objective how i will fit a bayesian causal inference model to the behavioural data the overarching goal of my research is to extend the current view on multisensory processing by a social component thereby contributing to a more holistic account of human perceptual processing
the biology of syncytial cells dissecting the mechanisms and functions of nuclear differentiation inside skeletal muscle syncytium

due to their cellular anatomy syncytial cells face many unique challenges that mononucleated cells do not one of them is how syncytial cells organize gene expression among many nuclei in a shared cytoplasm how such property is linked to their biological functions remains poorly understood using the skeletal muscle as a paradigm and singlenucleus transcriptomics i recently uncovered previously unrecognized diversity and dynamics of myonuclear transcriptional programs this conceptualized the syncytial muscle cell itself as an analog of multicellular tissue where individual nuclei are counterparts of differentiated cell types my findings raise two important and unanswered questions 1 how are the diverse nuclear identities specified and maintained and 2 what are the functional contributions of the diverse nuclear subtypes in health and disease i will first focus on the nuclei at the neuromuscular junction nmj and myotendinous junction mtj which are responsible for initiation of contraction and dissipation of contractile force respectively despite their wellestablished functions the mechanisms that specify or maintain them are sparsely understood i will investigate how chromatin architecture and transcriptional regulators govern their identities i will then characterize the upstream signalling pathways from motor neuron or tendon cells that activate the specific transcriptional programs so far genetic manipulation of myofibers have targeted entire muscle nuclei to overcome this limit i will develop tools that allow genetic manipulation in specific nuclear subtypes previous works had identified a new nuclear subtype associated with muscular dystrophy and a transient time window during postnatal development i will characterize the function of these nuclei using a method that abolishes their transcriptional activities the approaches to be developed here will pave the way to understanding the pathophysiology of syncytial cells in the future
a global evaluation of public policies to mitigate and reverse land degradation

land degradation is one of the major sustainability challenges of our time it is a driver of climate change biodiversity loss and water pollution and reduces global agricultural productivity this requires effective and economically efficient policieshere i outline a project that combines the global measurement and modelling of land degradation trends with econometric research designs to estimate policy effectiveness their benefit cost ratios and how design features and contextual factors explain policy performance this research builds on the unique expertise i have developed over the last 5 years the project consists of four work packages in the first wp global datasets will be build including a new database of public policies relevant to land conditions maps of different land degradation indicators such as soil productivity trends vegetation and agricultural yield changes soil erosion and pollution and land cover changes such as cropland expansion and forest loss in the second wp econometric research designs such as differenceindifferences differencein discontinuities and synthetic control will be used to estimate the causal effects of public policies on land conditions the comprehensiveness and global scope of the analysis means that for the first time we will have the full picture largely free of selection and publication biases and methodologically unifiedin the third wp all the policies costs and benefits will be compared to each other and we will quantify how much benefit each policy has been generating per its costsin the fourth wp we will use both conventional econometric techniques and novel machine learning approaches to systematically explain when and why some public policies perform better than othersthis research will generate new insights on how to improve public policies to mitigate and reverse land degradation i expect it will generate high interest among academics policy makers and the public