fairdataihub/poster-sentry-training-data huggingface dataset:
Coastal and Marine Innovations for Sustainability A worldwide review WHAT are we exploring? 1. What innovations, to improve the quality and/or maintenance of the ES and/or optimize the exploitation of resources in a sustainable way, already exist? 2. How, where, why, when, by whom, and under what conditions were they created? 3. Which ES have been exploited? HOW did we get answers? lines of financing for this type of innovative solutions There is an increasing interest and market for innovations focused on sustainability. The examples found indicate that such innovations can be a feasible solution for tackling: • Habitat loss • Plastic waste • Climate Change • Food shortages Final Remarks WHYare we studying this subject? • Sustainable lifestyle means understanding how our choices impact the world around us and finding ways for everyone to live better1. One way could be through the development of innovations better harnessed for sustainability. This is a key matter to support the implementation of the Sustainable Development Goals2. • If we assess the international trends in the development of innovations that exploit Ecosystem Services (ES) we might be able to understand how innovations have been contributing for sustainability. • Unemployment WHICH are our results? Figure 2. Geographic distribution of innovations, focused on sustainability, found. Figure 3. International trends in the development of innovations focused on sustainability, using coastal and marine ecosystem services as guideline. Figure 1. Tools used in the review. Contacts Cátia Marques (PhD student) catia.a.marques@uc.pt Zara Teixeira (supervisor) zara.teixeira@uc.pt Funding Host Institutions References: 1 Programa das Nações Unidas para o Meio Ambiente (UNEP). (07 de 09 de 2020). Obtido de https://www.unenvironment.org/about-un-environment 2 Walz, R., Pfaff, M., Marscheider-Weidemann, F., & Glöser-Chahoud, S. (2017). Innovations for reaching the green sustainable development goals –where will they come from? International Economics and Economic Policy, 449–480 Marques C, Teixeira Z (2021). Coastal and Marine Innovations for Sustainability. A Worldwide Review. Encontro de Ciência 2021, 28- 30 June 2021, Centro de Congressos de Lisboa, Portugal. DOI: 10.5281/zenodo.14191982
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Gaps and rings at ice lines: Icy pebbles and small rocky dust Katrin Ros, Lund University katrin.ros@astro.lu.se We modelled particle growth by condensation around the water ice line: The result is a bimodal size distribution with fast-growing icy pebbles locally at the ice line and small, rocky dust particles spreading out over the disc. This supports the idea of disc substructures forming at ice lines. Distinguishing between nucleation of ice on rock, and deposition of vapour on already ice particles, is the key to growth. 2000 4000 6000 8000 10000 t/yr 0.01 0.10 1.00 amax/cm 2B, nucl+dep 1B, dep only Key concept: Vapour can freeze out on icy particles, but not on bare rocky surfaces. Why? 0 1 2 3 4 5 Scrit 2.0 2.5 3.0 3.5 4.0 4.5 r/au 180 160 140 T/K Scrit, sil Scrit, ice rice sublimation deposition nucleation S ice line Radial distance S Particle size 1.0 0.1 Icy particles (blue) grow when vapour (red) freeze out on them — vapour deposition. Result: The difference between nucleation and deposition is the key to growth Result: Icy fast-growing pebbles at the ice line, small rocky dust elsewhere Sketch of the model ice line Critical saturation ratio for deposition on ice Scrit,ice=1 (blue), and for nucleation on silicate Scrit,sil=-0.0626T+13 (black), experimentally determined by Iraci et al (2010). The saturation ratio we find in our model is overlaid as a grey dotted line. This saturation ratio allows for sublimation and deposition, but never reaches high enough values for nucleation. Starting from micron-sized and millimeter-sized particles, after 1000 years we find cm-sized icy pebbles at the ice line, while surrounding regions are dominated by small dust. Blue is ice-covered particles, black is bare, rocky particles. Collisions are not included in this model. 2.0 2.5 3.0 3.5 4.0 r/au 0.0001 0.0010 0.0100 0.1000 1.0000 a/cm (b) Locally at the ice line: deposition-dominated growth to icy pebbles Sublimation region: small rocky dust. No growth: small particles diffuse out over the disc ice line simple model full model Pebbles move across the ice line due to radial drift (grey left- pointing arrows). Sublimation results in a silicate nucleus (black) and water vapour (red). Turbulent diffusion (grey swirls with right-pointing arrows) spread vapour and small particles out over the disc. Bare dust grains cannot get a new ice mantle (nucleation) since the vapour pressure at the ice line is too low. All vapour is instead deposited on icy particles as in 1. Saturation ratio: vapour pressure/ saturated vapour pressure 1 2 3 4 5 In our full model (blue) where we included the difference between nucleation and deposition icy particles grew from mm to cm. In a simplified model (red) where vapour freezes out equally well on rock and ice most of the vapour condenses on small dust, and particles did not grow above mm. Ros, Johansen, Riipinen & Schlesinger, A&A, 2019
Genapp GenApp WillItFit QuaFit Others … UI – GUI – Web GUI HPC – Gateway The computational code Build Calculate Simulate Analyze SCT SASSIE Bringing higher end computational tools to the bench scientist to accelerate the discovery process. Current grant coming to a close. Working on transitioning to Community efforts and how to coordinate new efforts going forward. Several new projects being proposed -- plus • Networking/workshop grants • COST action proposal in Europe • looking at various US opportunities • Nurture involvement from major facilities OTHER IDEAS WELCOME
www.gapmaps.org Sharing and modeling groundwater contamination data with the Groundwater Assessment Platform (GAP) Fields of application Joel Podgorski and Michael Berg Eawag, Swiss Federal Institute of Aquatic Science & Technology, Dübendorf, Switzerland (contact: joel.podgorski@eawag.ch) Create contamination hazard prediction maps GAP layers L. Rodríguez-Lado et al., Ground- water arsenic contamination throughout China. Science 341, 866–868 (2013). Modeling is conducted using logistic regression. Users supply their own point data as the dependent variable. Independent variables may be chosen from the publicly available GAP layers or user-supplied raster or polygon layers. The model may be used to create a map and exported as a GeoTIFF. Model output includes statistics on independent variables, model classification and an ROC curve China arsenic prediction map produced through statistical programming Comparison modeling offline vs. GAP Nearly identical map produced with much less effort in GAP Groundwater contamination maps SE-Asia arsenic prediction map Pakistan arsenic prediction map General modeling procedure GAP contains various global, regional and country-level prediction maps of geogenic groundwater contamination. These have been produced by geostatistical modeling of measured concentration points with spatially continuous environmental predictor varia- bles. The maps indicate areas that are likely highly contaminated and require testing. Introduction: The Groundwater Assessment Platform (www.gapmaps.org) is a free, interactive online GIS platform for the mapping, sharing and statistical modeling of groundwater quality data. Users can upload and control the display parameters of their geospatial data as well as share their data with individual users, community groups or the public. The modeling functionality uses logistic regression and allows users to take advantage of publicly available global datasets of various environmental parameters to produce prediction maps of their contaminant of interest. Upload own data and manage display settings Upload rasters, shapefiles or point data Set the symbology, e.g. filters, symbols Swiss Federal Institute of Aquatic Science and Technology Areas of application Although originally dedicated to addressing the geogenic groundwater contaminants arsenic and fluoride, GAP was de- signed in a general manner such that it can be applied to any other geospatial contaminants or measurements of interest. Possible other applications include anthropogenic contaminants (e.g. nitrate, salinity) or soil contaminants. Share data with a user, community or the public Communities Example of publicly shared data
Parestesias misteriosas: trastorno orgánico vs síndrome conversivo. María Ríos Vaquero1, José Barana 2, Gloria Lorenzo Chapatte1, Lorenzo Rojas Vázquez1, Teresa Jiménez Aparicio1, Luis Sobrino Conde3. 1: MIR. Servicio de psiquiatría. Hospital Clínico Universitario de Valladolid.; 2: MIR. Servicio de psiquiatría. Centro Asistencial Universitario de Palencia.; 3: PIR. Servicio de psiquiatría. Hospital Clínico Universitario de Valladolid. Se presenta un caso en el que se expone la dificultad del abordaje clínico a la hora de filiar episodios con sintomatología de posible etiología diferente frente a la categorización teórica de los mismos. Se expone el caso de una mujer de 26 años de edad, de origen extranjero que visita en repetidas ocasiones en el servicio de urgencias por presentar episodios sincopales y alteración en la sensibilidad en hemicuerpo y hemicara izquierdos que tras estudio por neurología impresiona de posible síndrome conversivo. Sin embargo al realizar historia completa en las sucesivas visitas se detallaron otros posibles factores de interés como síndrome de churg Strauss del padre, epilepsia y valvulopatía mitral en hermana gemela y sintomatología depresiva en su madre. Se le cita para realización de varias pruebas complementarias a las que la paciente no acude, lo que llama la atención. -RMN cerebral: Cisterna Magna Vs quiste aracnoideo retrocerebeloso. Nódulos subependimarios múltiples. -RMN cervical sin hallazgos reseñables. -RMN dorsolumbar, EEG y holter: no acude. En este caso planteamos realizar el diagnóstico diferencial con diferentes patologías que también cursan con misma sintomatología como el sd. Churg Strauss, compresión vertebral de raíces nerviosas o causa funcional. Se realiza seguimiento en consultas de neurocirugía y de psiquiatría realizando tratamiento con escitalopram y alprazolam con ligera mejoría. Además realiza psicoterapia. En este caso no queda claro la presencia de patología orgánica dada la poca colaboración a la hora de realizar pruebas complementarias. Si bien esto apoya la impresión de ser de causa funcional o simulada. Revisando la literatura científica en algunos casos es dificultoso esclarecer la etiología del cuadro y se debe tener en cuenta una visión multidisciplinar abordando el caso en su conjunto. INTRODUCCIÓN Y OBJETIVOS DESCRIPCIÓN DEL CASO PRUEBAS COMPLEMENTARIAS DIAGNÓSTICO DIFERENCIAL Y TRATAMIENTO DISCUSIÓN Y CONCLUSIONES BIBLIOGRAFÍA:
Efficient Approaches for Online Training of Gaussian Process Models in Multi-objective Coastal Groundwater Management Weijiang Yu1, Domenico Ba𝐮̀ 1, Alex S., Mayer2, Mohammadali Geranmehr1 1Department of Civil and Structural Engineering, University of Sheffield, UK. 2Department of Civil Engineering, University of Texas at El Paso, USA. Abstract: In coastal groundwater management, data-driven surrogate models constitute attractive tools for replacing complex groundwater simulators, providing aquifer response to pumping at a fraction of the computational costs. For simulation-optimization assisted management, building an “online” trained surrogate involves updating it at each iteration by incorporating newly identified optimal pumping patterns into the training set, enabling the derived optimal pumping solutions to gradually converge towards the ones that would be found when using full-scale simulators. This approach, however, it may be computationally challenging in multi-objective management scenarios that involve multiple non-dominated solutions. This study aims to explore efficient sampling strategies for online training of surrogates. To this end, a two-objective pumping optimization problem is initially formulated based on hydrogeological conditions observed on San Salvador Island, Bahamas. Gaussian Process (GP) techniques are employed to construct model surrogates, and four online sampling strategies are proposed. For any given pumping scheme, GP models are used emulate management objectives and constraints, alongside quantifying associated uncertainties. By conducting repeated stochastic simulations using these fast GP models, it becomes possible to ascertain the probability of Pareto-optimality for each pumping scheme. Performance assessment of each training strategy involves determining the average probability of Pareto- optimality and evaluating the correlation between predictions. Findings of this study reveal a most suitable online sampling strategy for GP models among those proposed. Keywords: groundwater management, seawater intrusion (SWI) control, optimal pumping strategies, offline training, Gaussian process (GP) model
Electronic properties of vacancy ordered double perovskites B. Cucco1, G. Bouder1, M. Kepenekian1, J. Even2, L. Pedesseau2, C. Katan1, G. Volonakis1 1Univ Rennes, INSA Rennes, Institut des sciences chimiques de Rennes, CNRS, France 2Univ Rennes, INSA Rennes, CNRS, Institut FOTON - UMR 6082, Rennes, France 1C. E. Patrick and F. Giustino, J. Phys. Condens. Matter 24, 202201 (2012) 2M. G. Ju, ACS Energy Lett., 3, 2, 297–304 (2018) Structure Splitting of the d-states Stability Optics ABX3 A = +1 (Cs) B = +2 (Pb) X= -1 (Cl, Br, I) A2BB’X6 A = +1 (Cs) B = +3 (In) B’= +1 (Ag) X = -1 (Cl, Br, I) A2BX6 A = +1 (Cs) B = +4 (Ti, Zr) X = -1 (Cl, Br, I) Electronic Properties • Cs2TiBr6 : 1.57 eV • Cs2ZrI6 : 1.65 eV DFT@GGA J. Phys. Chem. Lett. 2017, 8, 4, 772–778 Without SOC 3.87 eV 2.68 eV Band Gap (eV) DFT@PBE DFT@HSE06 Cs2TiBr6 1.57(1.64) 2.68(2.74) Cs2ZrI6 1.65(1.67) 2.58(2.59) • GoWo@HSE06 • Auto-consistent GoWo@DFT+U1 Quasi-particle corrections 2Experimental gap ~ 1.8 eV Summary • Investigation of the Ti/Zr-based VODP • The Cs2ZrI6 exhibit smaller band gap and effective masses, better stability and similar optical properties when compared to the reference Cs2TiBr6 Band structure and symmetry Charge density distribution Effective masses and its origins Quasi-particle corrections Chemical and dynamical stabilities Optical properties Acknowledgements This project has received funding from the European Union’s Horizon 2020 research and in- novation Programme under the grant agreement No 862656. The information and views set out in the abstracts and presentations are those of the authors and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained herein. Figure extracted from ref. 1
Delirios de Falsa Identificación: Diversidad clínica y de significación pronostica AUTORES: Zaida Gutierrez Hervás1, Maria E García-Llamas1,Sara Vega-García1, Michael C. Osorio Hualpa1, Eva Mª Romero Gomez1, Elena Martín Gil1, Yolanda Zapico Merayo1 José María Pelayo-Terán* 1, 2,3,4 FILIACIÓN: 1: Servicio de Psiquiatría y Salud Mental, Hospital El Bierzo. Gerencia de Asistencia Sanitaria del Bierzo (GASBI). SACYL, Ponferrada. 2: Unidad de Calidad y Seguridad del Paciente, Hospital El Bierzo. Gerencia de Asistencia Sanitaria del Bierzo (GASBI). SACYL, Ponferrada. 3: Área de Medicina Preventiva y Salud Pública. Departamento de Ciencias Biomédicas, Universidad de León, León. 4: Grupo CB07/09/2001, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid. INTRODUCCIÓN Y OBJETIVOS: Los delirios de falsa identificación, incluyen el delirio de Capgras y el de Fregoli, asociados tradicionalmente a la esquizofrenia. Objetivos: investigar la presentación de delirios de identificación en la práctica clínica en distintas patologías DESCRIPCIÓN DEL CASO - EXPLORACIÓN Y PRUEBAS COMPLEMENTARIAS  Caso 1: Mujer, 46 años, trastorno esquizoafectivo, delirios de Capgras, creyendo ser varias celebridades. Mejoró parcialmente con risperidona y olanzapina; a los 7 meses, está asintomática.  Caso 2: Hombre, 25 años, esquizofrenia y TEA, mostró delirio de intermetamorfosis, creyendo que era y se intercambiaba con su compañero de habitación. La respuesta a risperidona y litio fue insatisfactorias, por lo que se inicio clozapina, que fue suspendido por rechazo de paciente y familia. Mantiene clínica resistente y gran aislamiento.  Caso 3: Mujer, 64 años, esquizofrenia, delirio de capgras, convencida de que su psiquiatra había sido reemplazado por otras personas. Tratada con clozapina, mostró mejoría completa al alta.  Caso 4: Mujer, 31 años, hiperémesis cannabinoide, presentó delirios de Capgras e intermetamorfosis. Tras la resolución del desequilibrio electrolítico, los síntomas persistieron dos días más.  Caso 5: Mujer de 29 años, trastorno bipolar, delirio de Capgras, pensaba que sus padres eran suplantados por otras personas. Recibe tratamiento con AILP y permanece asintomática, realizando tratamiento intensivo en hospital de día y actualmente embarazada. DIAGNÓSTICO DIFERENCIAL Y TRATAMIENTO: Los delirios de identificación son complejos, presentes en el 10-15% de los pacientes con esquizofrenia, y también pueden aparecer en síndromes afectivos, neurológicos y orgánicos. Se
Technische Universität Braunschweig Institut für Informationssysteme http://www.ifis.cs.tu-bs.de ESSENCE facilitates hot topic detection by visualizing the novelty of author’s keywords relative to a query over time. User satisfaction Especially in the context of exploratory search ESSENCE achieves remarkable results encouraging use to continue research in this direction. Exploratory search remains one of the major problems for scientific literature search in digital libraries. Faceted search GUIs for digital libraries enable filtering results for a well-defined user need. However, they fail to deliver an overview when familiarizing oneself with a new scientific topic. How do scientists approach a new subject area? User study: 15 computer scientists were asked to describe their approaches on performing literature search on a new subject. We identified two major ones: • Reading survey papers • Studying the evolution of authors’ keywords to identify hot topics over time ESSENCE – Time-Based Exploratory Search in Scientific Literature Silviu Homoceanu, Sascha Tönnies, Philipp Wille, and Wolf-Tilo Balke {silviu, wille, balke}@ifis.cs.tu-bs.de, toennies@l3s.de
SciPy 2024, Tacoma, WA Workflow scalable pythonic likelihood fitting Errors Minimize Model Data Loss Loss Simultaneous Constraints Minimization Fit result Fitting something more complicated than a normal distribution or a fit is too slow? zfit allows to build multidimensional, composed models of arbitrary shaped PDFs. The backend uses speedup-techniques from TensorFlow to speedup and run on GPUs Used in High Energy Physics with large data & complicated PDFs General likelihood fitting ● Wraps minimizer libraries ● Minuit, Scipy, Ipyopt, NLOpt ●Convenient BaseClass available ●Common convergence criterion ●Automatic gradient available ● Access results ●Calculate errors ●Store results res_dilled = zfit.dill.dumps(result) res_loaded = zfit.dill.loads(res_dilled) Jonas Eschle (jonas.eschle@cern.ch) for the zfit team Compositions Mixture (plot), Convolutions, Products Parameter Data Build arbitrary compositions ● Multiple formats supported ● Full capability of Pandas DataFrames Model building Composition Custom model Product 2-D (dims defined by observables) Variety of losses Binned,unbinned, chi2, extended Fast likelihood model fitting in pure Python for complicated distributions. It allows to connect with many other libraries for a seamless workflow. Conclusion hepstats library Confidence Interval, limits, sWeights,... Inference
Zerstörtes Kulturgut Die kontextualisierte Aufbereitung von kulturellen Forschungsdaten 17 XML-Dateien im LIDO-Format zu einzelnen Kulturstätten 1 Webseite mit kontextualisierten, gesammelten Daten 1 GitHub-Repo zur kompletten Verfügbarkeit 5 Kriege geschichtlich aufbereitet Typo3 Umstellung der technischen Infrastruktur Standardisiertes Vokabular für die XML-Dateien Automatisierte Erstellung der XML-Dateien FAIR & Open Science LIDO-Schema Carl Montgomery, CC BY-SA Julia Alili & Vivien Wolter E-Mail: kulturgut@uni-trier.de <lido:titleSet> <lido:appellationValue lido:pref="preferred" xml:lang="de">Buddha-Statuen von Bamiyan</lido:appellationValue> <lido:appellationValue lido:pref="alternate" xml:lang="en">Buddhas of Bamiyan</lido:appellationValue> <lido:appellationValue lido:pref="alternate" xml:lang="fa">نایماب ىاهتب</lido:appellationValue> <lido:sourceAppellation lido:type="http://terminology.lido-schema.org/identifier_type/uri"> https://www.wikidata.org/wiki/Q484458</lido:sourceAppellation> </lido:titleSet> <lido:relatedEvent> <lido:displayEvent>Diktatur der Taliban</lido:displayEvent> <lido:event> <lido:eventID lido:type="http://terminology.lido-schema.org/lido00099"> https://www.wikidata.org/wiki/Q42418</lido:eventID> <lido:eventType>Gewaltsame Machtübernahme</lido:eventType> Status Quo - Offenes Repository - Webseitencode, Bilder mit Lizenzangaben, XML-Dateien downloadbar - Webseitenänderungen einsehbar - Waybackmachine - Verlinkungen mit GND, Wikidata In Zukunft - Langzeitarchivierung - Upload im DARIAH-Repository - Upload der XML-Dateien auf Zenodo - Standardisiertes Vokabular
spatial networks impact assessment library Tom Russell, Gordon Glasgow and Raghav Pant Environmental Change Institute, University of Oxford SIAM Conference on Computational Science and Engineering, March 2021 Code: https://github.com/nismod/snail Hazard maps Flood inundation under return periods, current and future climate scenarios, other spatial climate hazards. Infrastructure networks Energy, transport, water systems linked to population and economic activity. Infrastructure services Network models of service provision give knock-on effects and indirect impacts of individual asset failure. Fragility ∩ Exposure = Vulnerability Hazards of varying intensity will lead to direct damage to infrastructure assets. Δ Service Provision = Criticality Calculate impact of the failure of a single asset on overall service provision. Probability × Impact = Risk Introduce options to improve resilience, asset fragility, backups or redundancy, means of reducing the duration of service disruption. Summarise and prioritise options, calculate benefits of avoiding potential losses. With or without direct damage, there may also be a period of service disruption. Software sustainability We began work on this library after having conducted a number of analyses [1,2,3] which have developed both the methodology and the toolkit used to implement it. Scripts written for specific studies allow for narrow reproducibility of specific analysis. The library aims: to specify clear data requirements and possible outputs; to provide robust and efficient methods for spatial network analysis; and to be more readily reusable and teachable for similar use in other contexts. References [1] Oh et al. (2020) Addressing Climate Change in Transport: Volume 2: Pathway to Resilient Transport. World Bank. DOI: 10.1596/32412. [2] Pant et al. (2019) Planning for transport resilience under a changing climate. International Symposium for Next Generation Infrastructure. Buenos Aires. [3] Pant et al. (2020) Resilience study research for National Infrastructure Commission: Systems analysis of interdependent network vulnerabilities. Environmental Change Institute, University of Oxford. Available at: https://www.nic.org.uk/wp-content/uploads/Infrastructure-network-analysis.pdf