Dragon09/odtu_chatbot huggingface dataset:
humanwildlife coexistence through a nutritional ecology lens

nutrients are interconnecting threads in the web of life and are vital currencies to most ecological interactions despite this our knowledge of how they shape these interactions remains limited for over two decades researchers have documented the rise of agricultural practices in detriment to wildlife habitats in african savannas these led to an unprecedented increase in the number of interactions between wildlife and local communities with technical solutions providing limited success and naturebased options still to be adequately tested a likely explanation is related to the complexity of the socioecological and nutritional dynamics involved therefore exploring humanwildlife coexistence through a nutritional ecology lens huwinutre is vital to understand whether wild mammals use humandominated areas as nutritional subsidiaries to reach their requirements huwinutre will bring a systems approach to 1 establish the natural and anthropogenic nutritional landscapes available to wildlife 2 develop cuttingedge techniques for disentangling the contribution of humanderived foods to the nutritional niches of species with different degree of anthropogenic dependence 3 explore potential reconciliation actions to improve the coexistence between heterogeneous human communities and diverse wildlife species the training and knowledge transfer provided by the host institution to the candidate during this fellowship will create an ideal intellectual environment for this pioneering research the novelty of this project is the integration of behaviour nutrition ecology and evolution that is pivotal to capture the essential nutritional dynamics that are critical for wildlife conservation and management at both fundamental and applied levels the project addresses the eu biodiversity strategy to 2030 and the un sustainable development goals of ensuring the conservation restoration and sustainability of terrestrial environments
2d graphenebased devices for biosensing cancer biomarkers

the key research goal of the msca pf project acronym grabbing is to enhance the leadership and research capability of the marie curie fellow drvanesa quintano via implementing a highly challenging and innovative research project focused on the development of highly sensitive and selective clinical biosensors based on twodimensional 2dnanomaterial graphene oxide go to address european union eu and world health organization who raised issues in public health care graphene will be used and duly functionalized to work as a sensor for the direct and accurate detection of novel biomarkers for the early diagnosis of lung cancer 2d nanomaterial research and development will be performed under the supervision of prof rakesh joshi associate professor at the school of materials science and engineering and leading the graphene research groupunsw team graphene australia additionally a oneyear return phase especially dedicated to the biosensor optimization and clinical validation will take place under the supervision of prof laura lechuga head of the nanobiosensors and bioanalytical applications group at the catalan institute of nanoscience and nanotechnology icn2 in barcelona spain researcher dr vanesa quintano is expert in nanotechnology and graphenebased biosensors for biomedical applications prof rakesh is a nanotechnology expert in graphenebased materials and prof lechuga is expert in biosensors and analytical applications the project implements a set of coordinated actions among its different partners that maximize international collaboration between universities research centers and industry in different european and worldwide countries the european competitiveness will be potentiated throughout the project with the exploitation of the research results ultimately giving highlevel eu employment and maintaining the european status quo of highlevelknowledge countries
dpp9 degradationinduced pyroptosis for treatment of acute myeloid leukemia

dipeptidylpeptidase 9 dpp9 is a prolineselective serine protease that belongs to the peptidase s9 family during recent years dpp9 inhibition has shown to cause pyroptosis selectively in acute myeloid leukemia cells pyroptosis is a lytic form of programmed cell death that has mainly been observed in immune cells the process typically recruits and activates other immune cells and inflammatory mediators causing a localized activation of the innate immune system this is particularly appealing for leukemia treatment because the immuneresponse to leukemic cells is typically severely subdued recent mechanistic insight suggests that native dpp9 suppresses pyroptosis through a stabilizing proteinprotein interaction ppi with the nlrp1 inflammasome sensor furthermore dpp9 inhibition with small molecules only has a mildly destabilizing effect on the dpp9nlrp1 ppi this proposal suggests the targeted clearance of dpp9 from the cytoplasm in acute myeloid leukemia cells to cause pyroptosis through enhanced nlrp1 activation protacs and autacs are heterobifunctional molecules that mediate the degradation of a protein of interest poi by hijacking cells own proteasome and autophagic system respectively the implementation of protac and autac technologies for targeted clearance of dpp9 and consequent pyroptosis induction in acute myeloid leukemia cell lines is proposed in this project protac and autac molecules will be designed and synthesized followed by in vitro evaluation of their cell permeability dpp9engagement dpp9 clearance potency and selectivity and dosetime dependence of dpp9 clearance furthermore a comparison of the pyroptosis signatures of protacs autacs and dpp9 inhibitors will be performed overall this proposal can provide a superior therapeutic strategy to aml and other cancer types
narrative archetypes for artificial intelligence

ai stories is premised on the hypothesis that narrative archetypes fundamentally structure the output of contemporary artificial intelligence ai large language models llms like gtp4 are trained on vast quantities of text and images and generate new texts that are statistically similar to the training data the scientific consensus acknowledges that llms replicate and sometimes exacerbate historical biases in their training dataai stories proposes that llms are also affected by a deeper bias that of the narrative structures in the social media posts news stories marketing blurbs and novels the models are trained on if this is the case it will deeply impact how we use and apply ai and how we think about bias and cultural diversity in ai models currently available llms are largely trained on englishlanguage texts with a heavy weighting towards the united states when they generate texts in nonenglish languages they may succeed in producing grammatically correct texts but if my hypothesis is correct their deeper content will be fundamentally structured by the stories that dominate in the training data this is a threat to cultural diversity that goes well beyond the purely linguisticai stories applies the humanities deep knowledge of narrative to ai research by developing and testing this hypothesis we will apply narratology to understand the narrative structures of llms training data we test the hypothesis by training llms on specific kinds of narratives then using prompt engineering and both qualitative and computational narratological analysis to reverse engineer the structures of aigenerated output three comparative case studies will look specifically at scandinavian australian and either indian or nigerian storiesthe overall objective is to develop a narratology of ai and to leverage the findings to ensure that policymakers developers educators and other stakeholders can use our research to direct the future of ai
overcoming challenges in the evolution and nature of massive stars

massive stars are the cornerstone of the dynamic and chemical evolution of the cosmos enriching it as they evolve with chemically processed material that is blown away from their surface by energetic winds and eruption processes despite their importance their evolution from cradle to death as spectacular supernova explosions still poses many mysteries due to crucial knowledge gaps in the physical processes taking place in their interior and atmosphere and the mutual influence by closeby siblings our ultimate goal is to elucidate the physical properties and evolution of massive stars impacted by companions as well as their contribution to the generation of gravitational waves for this we wish to establish a multidisciplinary international network of researchers from europe and america with expertise in various disciplines and with background in both theory and observations we will exploit the avalanche of public data archives and develop machine learning algorithms to detect massive stars in binary and multiple systems classify them and create statistically meaningful samples for diverse evolutionary states we will develop progressive methods of signal processing for the analysis of the stellar properties and cuttingedge numerical codes to unveil the impact of stellar interaction and mass ejection on the evolution of the stars and stellar systems the acquired results will significantly enhance our knowledge and lead to major advancements in all related fields the bulk of exchanges will be undertaken by phd students and postdocs whom we will educate and train in modern observing and data analysing techniques machine learning algorithms and in highperformance computing equipping them with excellent skills for their future careers we will organise schools workshops and educational activities to share knowledge as well as disseminate our results which will be major breakthroughs and will expand europes leading role in basic research
the flying timber a glocal political ethnography of balsa extractivism and its implications for its main region of supply the ecuadorian amazonia

balsa ochroma pyramidale is a type of timber that is mostly produced in ecuadorian amazonia in fact ecuador is the worlds largest balsa producer 1 and it has been so for decades balsa is not the worlds lightest timber yet it is the most resistant among the light and it is used in aeromodelism planes wings usually have a skeleton made of balsa yet thats not the only enterprise in which it is used nor is aeromodelling what inspirred this research project it started with an ethnographic observation when leaving the amazonian kichwa community in which i have been conducting research over the past two years i found out that some of the fluvial and terrestrial passages from and to the amazonia were blocked by local communities with the aim of not permitting the entry to balsa mafias i was intrigued and did some research apparently the demand for balsa has skyrocketed over the past few years and illegal balsa trade is indirectly responsible for some of the amazons illegal deforestation the unlikely reason is green energy balsa is the core material used in the construction of wind turbinblades and since windfarms have multiplied impressively all over the globe in the quest for green energy solutions so has the demand for balsa which is ironically bringing about deforestation in the amazoniathrough the combination of deskresearch on the political economy of global balsa commodity circulation and ethnographic fieldwork in ecuador the other side of green energy commodity chain and focusing on balsa extraction processes and the effects it has on local communities livelihoods and well being this project intends to connect the dots and tell the big story through the small one it is planning to explore the relationship between the global quest for green energy and its local countereffects through the case of balsa commodification and commercialization at its main region of supply pastaza region of the ecuador
functional cofactors for targeted modification of biomolecules

enzymatic addition of a methyl group methylation is the most prevalent natural modification in cells serving a myriad of regulatory and structural functions abnormal methylation of dna rna or histone proteins can lead to severe developmental defects and is associated with numerous human diseases selective methylation of biomolecular targets is carried out by dedicated methyltransferase enzymes which use the cofactor sadenosyllmethionine adomet as the source of methyl groups despite the high specificity and impressive diversity of mtases the deposited methyl groups are poor reporters and hardly amenable to further derivatization to unlock the biotechnological power of mtases strategies for repurposing these enzymes into targeting vehicles for the transfer of useful extended groups from synthetic adomet analogs have been devised however despite substantial advances over the past decade a widespread adoption of this enabling technology in scientific labs and clinical settings was grossly hindered by the poor availability of such synthetic cofactors this proposal footed on findings of our ercfunded work will seek to overcome the limitations of chemical synthesis and adapt our recently developed chemoenzymatic protocols for lowcost industrial production of functionally competent adomet analogs we will also seek the transfer of the technology to an industrial partner for its commercial exploitation and to ensure broad access of these valuable reagents to the scientific community and commercial stakeholders
worlds first sulfuric acidfree kraft lignin recovery system

ligneasy technology helps to unlock the potential of a highscale biobased raw material which is currently wasted on a 100 mta scalewith gamechanging technology a pulp mill waste stream can be processed into valueadded lignin products without affecting the pulp mills process the ligneasy technology is efficient sustainable and scalablein brief the process is integrated into pulp mills production system pulp mills side stream is utilized for lignin production lignin is sold to the chemical industry as feedstockligneasy products benefit is its high suitability for several endproduct use cases as the product can be chemically modified a flagship application has been demonstrated phenolic resin in plywood manufacturing further uses are pursuedligneasy brings to market the circular economy concept for industrial waste streams positive environmental impacts are gained both in the pulp and manufacturing industries
nontarget analysis of arctic sediments an empirical indicator of persistent chemicals overlooked by regulation

the increasing volume and type of chemicals produced worldwide every year have the potential to cause severe ecosystem and human health problems however due to largely insufficient information regarding the identities properties and emissions of these substances it is challenging to obtain a complete picture of global chemical pollution to aid in development and implementation of effective regulations despite the arctic being pristine and distantly isolated from human activities arctic sediments function as a receptor for contaminants that are transported over long distances being ubiquitous far away from sources and in the arctic requires that a chemical is sufficiently persistent amenable to longrange transport lrt and produced in reasonably large quantities therefore it is hypothesized that arctic sediments can serve as a natural indicator to identify flaws or inefficiencies in current chemical legislation and prioritize persistent chemicals that require further regulation the overarching aim of this project is to use stateoftheart mass spectrometric tools together with high arctic sediments to identify persistent contaminants of global concern and then apply advanced statistical and modeling approaches to further understand their emission sources and lrt this analysis will be used to a prioritize persistent contaminants of emerging concern based on increasing temporal trends recorded in dated sediment cores b identify major emission regions by analyzing the spatial heterogeneity of contaminants among circumarctic shelf surface sediments c identify dominant lrt pathways by comparing the chemical compositions of arctic lake sites affected solely by atmospheric lrt versus marine sites impacted by mixed pathways results of this project will generate new knowledge on emission sources and transport of persistent chemicals of global concern while providing scientific guidance to improve chemical management and regulation policies
the coming of age of a new legal discipline developing the general doctrine of energy law

intel makes a groundbreaking contribution to energy law scholarship by developing the general doctrine of energy law in a european context while all wellestablished legal disciplines have an understanding of their doctrine energy law does not a general doctrine consolidates the foundations of a discipline and guides legislators courts and lawyers in identifying valuing and interpreting legal norms in light of the energy transition and the energy crisis in europe it is imperative to solidify and cohere the foundations of energy law intel will mark a breakthrough moment in energy law scholarship by putting forward a general doctrine for the field this outcome will require constructing and analysing the concepts and principles that drive the field and abstracting its theoretical underpinnings from these analyses intel is designed around five transversal research questions rqs that each unravel layers in the development of the doctrine together the rqs explore the evolution of energy law rq1 the concepts and principles emerging from legal sources rq2 and the theories underpinning them rq3 the way in which legal professionals perceive doctrine rq4 and how doctrine can be authenticated by the broader energy law community rq5 the exploration of these rqs relies on a mixed methods approach with each method implemented in its own work package wp these combine natural language processing and temporal network analysis wp1 doctrinal legal research and jurisprudence wp2 cocreation with the community of energy law scholars wp3 and dialoguedriven expert interviews analysed through grounded theory wp4 intel will advance the field of energy law by bringing coherence and predictability to the legal system governing energy affording an understanding of the capacity of energy law to govern societal changes and advancing methodological diversity in legal research by creating a novel technique for constructing a general doctrine
gpsfree beyond the visual line of sight navigation for logistics drones in urban environments

sightec offers a unique platform based on cuttingedge algorithms which can provide visionbased orientation and navigation realtime detection tracking visual positioning and autonomous inspection sightec analytics performed on edge devices support a novel approach for determining global selfposition our system enables constant communication and realtime broadcast of analytics to mission control while using minimal network bandwidth with sightec autonomous and remotely piloted vehicles to navigate as human pilots do by crossreferencing map data with visually observed landmarks known waypoints and visible obstacles and hazards sightec enables drones to autonomously perform complex tasks that are otherwise impossible with currently available technology in february 2021 our capabilities were demonstrated through a successful flight of a delivery drone across five routes in southern israel beyond lineofsight and without the use of gps
drug hunter drug analyzer for in situ quantitative analysis of illegal drugs in oral fluid

safepas safe portable analytical systems is a deeptech startup led by three womenscientistsentrepreneurs aiming to bring to market portable and accurate aibased analyzers for agri med and health tech we want to bring our new solution drug hunter to the drug testing market drug hunter is a portable drug analyzer that measures quantities of illegal drugs in oral fluid even in multidrug use cases it can be used onsite by law enforcement agencies hospitals clinical laboratories and workplaces our core technologies are capillary electrophoresis widely recognized as a golden standard for dna analysis and ultrasensitive deep uv fluorescence facilitated by aibased expert systems therefore drug hunter provides labgrade accuracy for simultaneous identification and quantification of illegal drugs in oral fluid indicating the recent drug use as well as the severity of possible drug intoxication there are currently no reliable drug testing solutions on the market only mainstream immunoassay tests for onsite use and none of them can measure the quantities of drugs in the sample so far the strength of drug intoxication can only be determined in a laboratory using confirmatory methods increasing supportive regulations are expected to boost the growth of the drug testing market in the upcoming years nevertheless drug hunters market launch faces multiple challenges that should be overcome by safepas the current proposal aims to map the regulatory requirements and markets peculiarities fitting drug hunter to regulations our initial business model will be tested and improved the marketing strategy will be developed tested and validated and the distributors business partners and customers networks will be built we will conduct preclinical studies with our partners opening new customer segments such as clinical labs womentech eu will help us scale up drug hunters market launch and safepas growth
glialneuron crosstalk in the regulation of neurofilament dynamics

accurate communication between the central nervous system and the periphery requires rapid and efficient transmission of action potentials along the axon glial cells and neurons cooperate to regulate axonal conduction and normal physiology of the nervous system is strongly dependent on the crosstalk between the two systems neurofilaments nfs the most abundant components of the neuronal cytoskeleton are a key target of the crosstalk that regulates electrical conductance nevertheless the mechanisms by which the glialneuron crosstalk regulates nf dynamics are currently not well understood yet this knowledge is of great importance as disturbances in this system underlie disease mechanisms in various neurodegenerative diseases in the glianfish project topnotch techniques will be combined to capture for the very first time realtime dynamics of nf transport and nfprotein interactions in a living organism zebrafish larvae to understand the role of glianeuron crosstalk in nervous system physiology the project encompasses three objectives which aim to investigate 1 nf organization and dynamics in vivo 2 the impact of demyelination on nf organization and dynamics and 3 the molecular players involved in the outsidein signalling cascade that regulate nf dynamics the outcomes of the project will advance our understanding of nf dynamics and signalling in vivo and on how myelinating glia and neurons synergize to enable signal conduction in the nervous system this knowledge may permit in the future to explore how disturbances in this system lead to disease and will pave the way for novel therapeutic strategies towards nf dynamics overall this project is extremely timely and relevant as the social and economic burden of neurodegenerative diseases is expected to rise significantly in the upcoming years