Dragon09/odtu_chatbot huggingface dataset:
wellbeing and employability for youths with psychosocial disabilities through digital technologies

psychosocial disability pd refers to disabilities that arise from barriers to social participation experienced by people who have or who are perceived to have mental conditions or problems according to the world health organization mental neurological and substance use disorders mns account for more than 10 of the global disease burden of disease and are responsible for 1 in 5 years lived with disability the global loss of productivity on account of depression and anxiety is estimated to cost the global economy us1 trillion each year in low and middle income countries more than 75 of people with mns receive no treatment at all for their disorder in kenya unmet need for mental health services mhs is worse in young persons compared to adults further poverty and adversities are causes and consequences of poor mental health and persons with pd experience discrimination in mental health service employment and social life that affect wellbeing and life expectancy mental health services in kenya are sparse and elude most persons with pd access to available mhs is limited by lack of information about where and how to access it and discriminatory delivery of services in recognition of the dire need for inclusive mental health services a recent interagency government of kenya taskforce on mental health in 2021 declared mental illhealth in kenyan society as a national public health emergency also strengthening the mental health system is the fourth strategic objective of the kenya mental health action plan 20212025 this project responds to this need identified by gok taskforce and aligns with the whos vision of a world where all people achieve the highest standard of mental health and wellbeing the overall aim of this project is to develop and pilot a support framework for an inclusive mental health system using digital technologies to promote wellbeing work and employment for young persons with pd in kenya
port arrivals data automatic data collection for a largescale comparative history of 19th century shipping a digital humanities approach to maritime heritage

in the nineteenth century during the transition from sail to steam port cities were nuclei of imperial colonialism and capitalist configurations linked by maritime trade and traffic to the processes of globalisation and the international division of labour in these ports the arrival of ships represented an economic cultural and political event at the local level complex port systems were created also based on local regional and fluvial trade and traffic as such the news of the arrival of ships received a place of privilege in the local press of these port cities this project is based on the daily notices published in the majority of important port cities and that contained information about the arrival of ships in the port this was very complete and detailed information that in general included the port of embarkment ports of call and days travelled the type name and tonnage of the vessel the name of the person responsible for the vessel captain or skipper and the flag flown and the cargo and the name of the business owner to whom it was to be delivered this is a source of information that has been used in a variety of studies dedicated to maritime or economic history however because of the great effort required to exploit the source these studies have always been rather partial limited to short chronologies focusing on a single type of cargo or centred on a determined route as such in this project we will take advantage of the opportunities offered to us by changes in the technological landscape over recent years mainly the availability of extensive collections of digitalised historical newspapers and the ongoing development of software tools that facilitate bulk exploitation of these valuable resources this allows us to automatically create databases of maritime traffic from 1850s to 1910s in the ports of barcelona marseille buenos aires and havana composed of thousands of records
bioinspired oxidation of hydrocarbons in confined spaces

selective functionalization of ch bonds in hydrocarbons is a grand challenge that chemists have tried to address for decades drawing inspiration from enzymatic oxidation reactions with limited success the mimicry of metalloenzymes has typically focused on the metal center overlooking crucial aspects of the enzymatic machinery secondary coordination effects molecular recognition and confinement within the isolated active site of the proteinherein wellestablished coordination manifolds for fe and mnbased oxidation of ch bonds will be melded to a synthetic molecular receptor the novelty of the resulting metallocavitand receptors lies in the positioning of the reactive metal center in close proximity to a binding pocket with robust molecular recognition features the proposed reactions will exploit a structured microenvironment based on carefully designed noncovalent interactions the designed hosts will bind hydrocarbons and related substrates in a confined space in close proximity to a reactive metal species promoting siteselective oxidation dictated by the orientation of the substrate within the receptor rather than by the innate reactivity of the different ch bonds in the structureconfimet will deliver unprecedented siteselective functionalization reactions in molecules with multiple chemically equivalent ch bonds of important impact in the development of sustainable production methods for drugs and other chemical specialtiesthis project is a unique opportunity for the researcher to combine existing skills in coordination chemistry and transition metal catalysis with supramolecular chemistry concepts the stimulating environment provided by the institute of computational and catalysis a research unit of excellence at universitat de girona spain will allow the candidate to develop leadership communication and independent thinking skills enhancing her career prospects in the transition to an independent academic position
automorphic forms and arithmetic

this proposal is at the interface of number theory and automorphic forms and aims at a crossfertilization of both areas it focuses on explicit arithmetic problems that can be solved using the full force of the automorphic machinery conversely it develops the theory of automorphic forms in higher rank using number theoretic methodsat the core are three sets of deep and longstanding open conjectures in higher rank cases the joint equidistribution conjectures of michel and venkatesh concerning the distribution of pairs of shifted cm points the beyond endoscopy program of langlands of identifying functional lifts by a comparison of different trace formulae the density and optimal lifting conjectures of sarnak concerning the behaviour of exceptional eigenvalues and their arithmetic consequencesthe key objects are certain shimura varieties associated to abelian varieties higher rank kloosterman sums families of lfunctions trace formulae and hecke eigenvaluesby an interdisciplinary combination of analytic number theory and automorphic forms the proposal aims at definitive progress and solutions to these three conjectures each of which has been open for at least 15 years
cryoet of alphavirus replication complex cryoarc

positivesense singlestranded rna ssrna viruses replicate their genomes in membranebound virusinduced replication complexes rcs a major genus of ssrna viruses are the alphaviruses family togaviridae alphaviruses contain several mosquitoborne viruses that cause substantial human disease burden in tropical and subtropical regions eg semliki forest virus sfv and chikungunya virus chikv alphavirus rcs also referred to as spherules are outwardfacing balloonshaped plasma membrane buds of 5080nm diameter our structural understanding of spherules is still fragmental and there is no complete 3d macromolecular architecture of these megadalton complexes the proposed cryoarc project is based on extensive cryoelectron tomography cryoet proteomics and structural bioinformatics approaches to explore and resolve the in situ 3d structure of sfv spherules complete neckcomplex and identifying the host cofactors interacting with viral proteins to accomplish the main goal of the cryoarc project i will address the following objectives 1 fractionation and purification of active sfv spherules from the infected mammalian cells for proteomics and structural studies 2 in situ cryoet structure determination of the sfv spherules complete neck complex and 3 macromolecular interaction between viral and hostfactors in the rc and design potential antiviral drugs using computational approaches the result of the cryoarc project will provide a novel fundamental insight into alphavirus replication thus aiding development of future therapies for emerging medically and economically important alphaviruses the cryoarc project is further designed to allow me to utilize and share my own expertise in virology and protein structural biology and to benefit from the inspiring and wellequipped host research laboratory acquired scientific and management skills will help me on the path towards establishing an independent research lab in europe
a nanobody imaging tool to detect protein crystals and predict therapeutic response in asthmatics

asthma is characterized by airway obstruction causing difficulty in breathing the major cause of therapy resistant obstruction is mucus plug buildup in 60 of severe asthmatics mucus plugs form as a result of abnormal mucus production by airway barrier cells and recruitment of eosinophils that change the mucus from a gel to a gluelike state eosinophils also release galectin10 gal10 protein which crystallizes and forms charcotleyden crystals clc my advanced erc grant unraveled how clcs damage the epithelium to aggravate airway inflammation cause more mucus buildup and physically impede the clearance of plugs because of their needlelike shape we therefore developed crystaldissolving antibodies that improve mucus clearance in mice meanwhile we also found that chronic rhinosinusitis crs and 10 of cystic fibrosis cf patients have clcrich mucus the current problem we are facing in the further clinical development of crystal dissolving antibodies is that we do not have a biomarker for clcrich mucus and therefore it would be hard to predict which patients benefit from treatment with clcdissolving antibodies the solution is to develop a noninvasive imaging technique to visualize crystalcontaining mucus we have therefore generated a gal10 pet tracer we have developed humanized mice that express gal10 and form clcs in their airways and will be used to test the feasibility of gal10 pet tracer imaging a major challenge is to find the best conjugation format of the pet biomarker and unravel the pharmacokinetics and dynamics of the imaging modality in parallel we will test if gal10 antibodies bind to human biopsies from asthma crs and cf patients and how this biomarker correlates to clc presence gaining poc that gal10 pet imaging works as a biomarker to detect clcs will personalize the approach and create dealmaking value for our antibody program
understanding deep learning

while extremely successful deep learning dl still lacks a solid theoretical foundationin the last 5 years the pi focused almost entirely on dl theory yielding a strong publication record with 7 papers at neurips the leading ml conference including 2 spotlights top 3 of submitted papers and one oral top 1 2 papers at iclr the leading dl conference and 1 paper at colt the leading ml theory conference these results are amongst the first that break a 20 years hiatus in nn theory thereby giving some hope for a solid deep learning theory this includes 1 the first polytime learnability result for nontrivial function class by sgd on nn 2 the first such result with near optimal rate 3 new methodology to bound the sample complexity of nn that established the first sample complexity bound that is sublinear in the number of parameters under norm constraints that are valid in practice 4 an explanation to the phenomena of adversarial exampleswe plan to go far beyond these and other results and to build a coherent theory for dl addressing all three pillars of learning theoryoptimization we plan to investigate the success of sgd in finding a good model arguably the greatest mystery of modern deep learning specifically our goal is to understand what models are learnable by sgd on neural networks to this end we plan to come up with a new class of models that can potentially lead to new deep learning algorithms with a solid theory behind themstatistical complexity we plan to crack the second great mystery of modern deep learning which is their ability to generalize with fewer examples than parameters our plan is to investigate the sample complexity of classes of neural networks that are defined by bounds on the weights magnituderepresentation we plan to investigate functions that can be realized by nn this includes classical questions such as the benefits of depth as well as more modern aspects such as adversarial examples
sperm evolution and speciation in littorina

sperm cells are the most morphologically diverse animal cells but how does that diversity arise and what are its evolutionary consequences this project investigates the causes and consequences of divergence in sperm morphology between ecotypes in an intertidal snail species littorina saxatilis where it was recently discovered that sperm length has diverged both between ecotypes and among island populations i will perform transcriptomics on testes to identify spermlength related genes gene networks and their relation to chromosomal inversions in the l saxatilis genome this robust technique allows me to determine the developmental origin and genomic causes of the sperm length differentiation the project further performs experimental mating trials to measure the effect of sperm length per se on fertilization success addressing a rarelytested longstanding assumption that sperm morphological divergence translates into reproductive barriers finally i will build a genetically explicit model of sperm length divergence and its role as a reproductive barrier between populations this model will allow me to explore how female promiscuity and the genomic architecture of sperm traits impact the longterm evolutionary potential for sperm divergence to occur and be a reproductive barrier thus this ambitious project addresses sperm length evolution from several biological disciplines and perspectives to address the longstanding question of the evolutionary causes and consequences of sperm morphological diversity this project also provides me with valuable training that will increase my competitiveness as i apply for faculty positions or for positions as an analyst supporting policymakers specifically i will learn learn omics analysis an important skillset in biology that i currently lack and a new and powerful programming language useful for big data
seaclim european seas climate impact prediction through regional models

seaclim aims to provide refined information on future decadaltomultidecadal changes of the marine environment and related impacts at regional to local scales fundamental for climate policy and decision making seaclim will leverage on regional ocean models of the copernicus marine service to enable for the first time the preoperational prediction of decadal and multidecadal changes of the marine environment ocean circulation waves seaice biogeochemistry through coordinated downscaling of the latest global climate models reference simulations cmip6 seaclim will also advance the understanding of physical and ecosystem processes to further develop regional ocean models new regional ocean indicators will be developed to assess the ocean state and health over coming decades seaclim ri will be performed over three european seas the northeastern atlantic northwest shelf including the north sea and the arctic ocean but will be replicable to other regional seas seaclim regional ocean predictions projections and ocean climate indicators will be integrated in the european digital twin of the ocean providing it with climate whatif scenarios seaclim new datasets will be benchmarked in coastal and ocean climate services for targeted policy and decision makers to support climate mitigation and adaptation actions and the blue economy seaclim will codesign its ri and exchange knowledge with key stakeholders and will bridge the gap between the operational oceanography and climate science research communities ocean modelling and programmatic frameworks eg copernicus wcrp cmip cordex clivar rifs wmo goos a coordinated framework for regional ocean decadal to multidecadal predictions and their evaluation will be codeveloped to build capacity of the regional ocean climate community to produce coordinated simulations and pave the way for the development of a new service line on projected changes of the marine environment in copernicus marine
postpandemic resilient communities is the informal economy a reservoir for the next generation of digitalized and green businesses in the global south

in addition to the almost 2bln workers already active in the informal sector world bank and ilo estimate that the pandemic might have put at risk of precarious employment 500mln15bln more these losses and related consequences are not evenly distributed given that africa asia and latin america is where 93 of the worlds informal employment is located and where postpandemic crisis is likely to hit harder especially women migrants and young people yet the concern is global indeed besides vulnerability and precariousness at individual and community levels informality also eventually reduces state capacity and the ability of institutions to design and implement policies that properly address social economic and environmental issues ie sdgs in a long term perspective accordingly informalityrelated challenges have been devoted a great deal of attention and political statements but seldom have these statements been followed by concrete instructions guidelines or evidencebased policies to tackle informality across the world starting from this gap presilient is a large network comprising 14 partners of which 7 nonacademic and 15 associated partners located in africa asiapacific and latin america committed to delivering the a world class crossregional training on informality in the global south to measure it address it find viable and sustainable alternatives by doing this we have committed to four main objectives o1 train the next generation of experts on informality in the global south o2 carry out a research spanning 15 different countries and to produce novel data and significant theoretical advancements in the fieldo3 produce strategic intelligence that can be used to provide practical policy recommendationso4 enable multidirectional knowledge transfer through network events pairing of academic and nonacademic partners who will jointly supervise each fellow secondment and taskbased teamwork
controlling electrodeposition processes at the nanoscale with wellordered nanostructured electrolytes

even though electrodeposition processes have been used since the nineteenth century it is remarkably challenging to control their behaviour on the nanoscale to the naked eye deposited metal surface appears homogeneous yet their morphology at the nanoscale is anything but smooth with ramified metal structures dendrites forming on their surface the utility of electrodeposition for advanced technologies such as nextgen highenergy metal batteries is proportional to our ability to control metal growth at the nanoscale in theory this requirement may be accomplished through nanoscale control over ionic processes due to lack of appropriate material systems it appears that examining and validating this hypothesis much less meeting its requirements is currently beyond reach nanodep envisions a future in which these requirements are met by the development of nanostructured electrolyte systems with wellordered conductive and nonconductive nanodomains our early results suggest that we may be able to completely prevent uncontrolled dendritic formation by designing structured electrolytes that allow nanoscale regulation over local ionic transport processes the goals of nanodep are to 1 uncover the behaviour of uncontrolled nanoscale electrodeposition processes within nanostructured electrolytes 2 prevent them and 3 apply these newly acquired insights to the construction of a realworld system to accomplish these goals we will develop a novel insitu electrochemical platform for investigating the spatiotemporal electrodeposition behaviour in wellordered nanostructured model electrolytes the model system insights and guidelines will be translated into realworld macroscale batteries using advanced molecular engineering and selfassembly methods the successful development of wellordered nanostructured electrolytes represents an important step toward nextgen highenergy metal batteries based on fully regulated electrodeposition processes
navigating european forests and forest bioeconomy sustainably to eu climate neutrality

forestnavigator aims at assessing the climate mitigation potential of european forests and forestbased sectors through modelling of policy pathways consistent with the best standards of lulucf reporting and informing the public authorities on the most suitable approach to forest policy and bioeconomy with a primarily european scope forestnavigator zooms into carefully selected eu member states to enhance the consistency of the eu and national pathways but the project also zooms out towards the global scale and selected key eu trading partners accounting for extraeu future drivers and potential leakage effectsthe project will rely on a newly developed integrated policy modelling framework for the eu forests and forest bioeconomy covering i all relevant mitigation strategies from forest management to energy and material substitution ii climate change impacts adaptation and natural disturbances iii biophysical climate feedbacks iv systematically accounting for impacts on biodiversity forest ecosystem services and other forest functions incl jobs and green growth to increase the accessibility of the models and pathways assessments their understanding and transparency a novel decisionmaking platform will be established consisting of the webbased forestnavigator portal and a community of policymakers national authorities and modelers the forest policy modelling forumto reach its ambitious objectives forestnavigator will i harmonize integrate and continuously update existing datasets by including national inventories with new remote sensing data and models ii start from complex forest and climate models and through emulators build them into operational policy modelling tools iii integrate biophysical and socioeconomic information iv consider eu forests and forest bioeconomy in the broader context of other land use and economic sectors v rely on input from policy makers and other stakeholders