fairdataihub/poster-sentry-training-data huggingface dataset:
www.didip.eu @DiDip_ERC Digital contributions to a 300 years old methodology: Diplomatics & DH Computer vision approaches for diplomatics: ground truth of a random selection of 1000 charters from the Monasterium.net corpus reformulating layout analysis as an object detection problem instead of the typical image segmentation approach defined a group of visual elements of charters in 11 different classes of interest in our future studies: "Seal", "Writable Area", "Ornament", "Old Text", “Old Note”, "Neww Text", “Neww Other”, “Fold” (i.e. Plica), “Calibration Card”, “No Class” and “Ignore” Daniel Luger, Anguelos Nicolaou, Georg Vogeler, Franziska Decker, Tamás Kovács, Florian Atzenhofer-Baumgartner, Florian Lamminger, Sandy Aoun {forename.surname}@uni-graz.at Preliminary results: We annotated 1000 charters with all these 11 classes within 40 hours and trained an object detection model with similar bounding boxx regressors:  between 97% and 70% accuracyy depending on the class at a 50% intersection over union (IoU) threshold  Diplomatics = the search for characteristic features of groups of charters, information on their historical context, and for a certain chanceryy practice (“Kanzleimäßigkeit”) The problem:  number of 14th and 15th centuryy documents in Central and Southern Europe is beyond the capacityy of a single researcher: e.g. Monasterium.net contains over 600,000 charters from all over Europe (majorlyy Germany, Italyy, Austria, Slovakia, Czech Republic, Hungaryy)  Manual detection of charter features for datasets this large is not possible! Screenshot from Monasterium.net as of May 28th 2023 Object detection and other computational methods may revolutionize the study of late medieval charters! possible concrete research questions: ? influences of public notaries on the authentication of charters in the late Middle Ages (Weileder 2019) ? spread of humanistic charter script in the European context and an analysis of the humanistic networks behind it (Luger 2016) References: Luger, Daniel. Humanismus und Humanistische Schrift in der Kanzlei Kaiser Friedrichs III. (1440-1493). Vol. 60. MIÖG Erg. Bd. Wien u.a.: Böhlau, 2016. Weileder, Magdalena. Spätmittelalterliche Notarsurkunden: Prokuratorien, beglaubigte Abschriften und Delegatenurkunden aus bayerischen und österreichischen Beständen. Vol. 18. Archiv für Diplomatik. Beiheft. Köln, Wien: Böhlau, 2019. Screenshot of a charter annotated in FRAT (Fast Rectangle Annotation Tool)
> AUSBAU SCHULUNGSANGEBOT Fachspezifische Forschungs- datenrepositorien  1 repräsentatives Repositorium pro Bereich der TUD  Schulungsreihe auf der Grundstruktur des Prototyp Workshops  Veröffentlichung als OER auf Zenodo Multidisziplinär: Prototyp Zenodo Workshop  Wissensbasis FDM für weitere Schulungen nachnutzbar  repositorienspezifischer Aufbauteil veränderbar Mathematik und Naturwissenschaften: 4TU?  Spektrum: Naturwissenschaften, Ingenieurwissenschaften und Design  Core Trust Seal Geistes– und Sozialwissenschaften: GESIS  forschungsbasierte Infrastrukturein- richtung für Sozialwissenschaften  Core Trust Seal Ingenieurwissenschaften: NOMAD?  Fokus: Materialwissenschaften  von FAIRmat entwickelt Bau und Umwelt: PANGAEA  Fokus: Geodaten  Core Trust Seal Medizin: German Central Health Study Hub  Spektrum: klinische, Public Health, epidemiologische Forschung  Metadatenveröffentlichung mit Information zum Datenzugang Kontakt: forschungsdaten@slub-dresden.de | janna.little@slub-dresden.de
Development of bioprinted osteochondral tissue: an in-vitro model for drug discovery Shahrbanoo Jahangir1, Jana Vecstaudža2, Elena Canciani3, Jānis Ločs2, 4, Mauro Alini1, *, Tiziano Serra1 1- AO Research Institute Davos, Davos, Switzerland 2- Rudolfs Cimdins Riga Biomaterials Innovations and Development Centre of RTU, Institute of Genera Chemical Engineering, Faculty of Materials Science and Applied Chemistry, Riga Technical University, Pulka Street 3, LV-1007, Riga, Latvia 3- Laboratory of Immunomics, Department of Health Sciences, center of translational research on Autoimmune & Allergic Diseases, CAAD. University of Eastern Piedmont, UPO. Corso Trieste 15/A. 28100 Novara- Italy 4- Baltic Biomaterials Centre of Excellence, Headquarters at Riga Technical University, Riga, Latvia Introduction: Osteochondral (OC) disorders like osteoarthritis (OA) and rheumatoid arthritis (RA) damage the joint's cartilage and subchondral bone. Their treatment remains a significant challenge for both researchers and orthopedics. In vitro models of OC tissue have become an essential tool to help investigate pathogenesis, develop drug screening, and test potential therapeutic approaches. This study aims to create a bio-printed OC construct recapitulating the bone and cartilage compartment as drugs testing platforms. Methodology: Two different hydrogels including a blend composed of gelatin methacrylate (GelMA) with nanosized hydroxyapatite (nHA) and tyramine-modified hyaluronic acid (THA) were selected for the bioprinting of bone and cartilage tissue mimics. The composition of GelMA hydrogel (10% w/v) with different concentrations of nHA (1-10% w/v) and THA with concentrations of 2.5-5% w/v were characterized by rheology and their cytotoxicity was assessed via live-dead assay. Later, the pre-differentiated osteoblast and endothelial cells were encapsulated into GelMA-nHA and micropellet chondrocytes into THA hydrogels for bioprinting osteochondral construct. After 2 weeks of culturing, the successful generation of OC tissue was confirmed by real-time RT-PCR and histology. Results: The storage modulus (G') of all GelMA/nHA hydrogels was significantly higher than GelMA, however, there was no significant difference in G' values for the GelMA/nHA as a function of added nHA. Due to the know temperature sensitivity of GelMA, a rheological temperature sweep and series of printing tests were performed to establish a suitable printing temperature, which was confirmed to be 20°C, independent of the addition of nHA. Calcein- AM (Ca-AM) and Ethidium Homodimer-1 (EthD-1) staining for GelMA (10% w/v) with three
TÍTULO: Rompiendo el ciclo: Abordaje integral en la recuperación de trastornos disociativos y dependencia emocional AUTORES: Patricia Gil Delgado1, Sara Mayo González2, Antonia María Nogales Raedo3, Patricia Menéndez Trillo4, Manuela María Rodríguez Rincón5, Andrea Blanco Pericacho6, Laura Andrea Orozco Quiroz7, Miguel Andía Díez8. FILIACIÓN: 1: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. 2: Psiquiatra, Médico Adjunto Especialista en Hospital Fuente Bermeja. Complejo Asistencial Universitario de Burgos. 3: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. 4: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. 5: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. 6: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. 7: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. 8: Psiquiatra , Médico Interno Residente en Complejo Asistencial Universitario de Burgos. INTRODUCCIÓN Y OBJETIVOS: Los trastornos disociativos y de conversión, frecuentemente asociados a conductas autolesivas y crisis emocionales, pueden generar disfunción progresiva en diversas áreas de la vida del paciente. El manejo terapéutico integral, con enfoque multidisciplinario, es esencial para lograr la estabilización psicopatológica y promover la autonomía. Revisamos, a propósito de un caso, la importancia del abordaje integral en un dispositivo de rehabilitación como medio para la recuperación.
Evaluating hyper-resolution global hydrology by comparing spatial and temporal resolutions Jerom Aerts1 (J.P.M.Aerts@tudelft.nl), Rolf Hut1, Nick van de Giesen1, Niels Drost2, Ben van Werkhoven2, Berend Weel2, Inti Pelupessy2, Martine de Vos2, Yifat Dzigan2, Stefan Verhoeven2, Gijs van den Oord2, Ronald van Haren2, Janneke van der Zwaan2 , Maarten van Meersbergen2, Willem van Verseveld3 and Albrecht Weerts3,4 1Delft University of Technology 2Netherlands eScience Center, 3Deltares, 4Wageningen University Global hydrological models have transitioned from global scale to hyper-resolution (5 arc minutes or less). Benefits: • Greater applicability for stakeholders (e.g., comprehensive flood prediction) • Better understanding of hydrological system Challenges1,2,3,5 • Scaling issues that require explicit spatial modelling and parameterized processes • Require lateral connections between compartments of the hydrological system • Increased uncertainty from insufficient parameter data quality Guiding Question How is the hydrological model Wflow SBM impacted by changes in spatiotemporal resolutions? Project Goal Evaluate hyper-resolution global hydrology using the Wflow SBM model4 and the eWaterCycle II platform Why Wflow SBM? • Physically based distributed hydrological model • Can run with any time step • Spatial distribution within the hyper-resolution domain • No calibration required Introduction Intra-Model Comparison Setup Wflow SBM References: 1Beven and Cloke ,2012: Comment on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water” by Eric F. Wood et al. 2Bierkens et al., 2015: Hyper-resolution global hydrological modelling: what is next? 3Melsen et al., 2016: HESS Opinions: The need for process-based evaluation of large-domain hyper-resolution models 4Samaniego et al., 2017: Toward seamless hydrologic predictions across spatial scales 5Wood et al., 2011 : Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water Going Forward Analyses Input Model Runs Output Streamflow Validation (USGS) and statistics: State Comparison : Total of time series : Total of basin grid cells : Sum of coarse resolution grid cells : Sum of high resolution grid cells Next steps: • Include: soil moisture and snow pack validation, global basin, multiple global hydrological models • Perform benchmark testing • Compare the effect of different precipitation products Share your thoughts on: • Explicit spatial hydrological modelling on high spatial resolutions • Effects of higher temporal resolutions on comparison variables
www.nanorigo.eu @EU_NANORIGO www.linkedin.com/groups/12232026 NANORIGO has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the grant agreement No. 814530 Knowledge Readiness Level (KaRL) approach for nanorisk governance and beyond MORE INFORMATION: Project Coordinator: Aarhus University, Janeck James Scott-Fordsmand (jsf@bios.au.dk) Scientific Coordinator: Environmental Assessments, Rudolf Reuther (rudolf.reuther@enas-online.com) Background Regulatory decisions require reliable data and knowledge One form of knowledge is an actionable document Actionable document is a piece of grey literature prepared from operational data of high technical quality, ready to be used for an action (dossiers, public opinions, proposal, meta-analysis, scoping reviews) Usually, actionable documents are prepared by the third party, e.g. consultancies NANORIGO solution – KaRL approach A 9-level scale in analogy to TRL (technology readiness level), the KaRL (Knowledge, Data and Information Readiness Level) allows assessment of knowledge readiness for decision making and provides guidance on how to enhance the readiness level KaRL addresses SEIN principles, circular economy A specialized nanorisk governance council (being in development, NANORIGO) could perform quality check of an actionable document KaRL guarantees traceability of knowledge before its use in decision making transparency Dmitri Ciornii1,* Damjana Drobne2,* Sara Novak2, Eva Kranjc2, Nils Bohmer3, Vasile-Dan Hodoroaba1 1Federal Institute for Materials Research and Testing (BAM), Division 6.1 Surface Analysis and Interfacial Chemistry, 12200 Berlin, Germany 2Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, Ljubljana, Slovenia 3Society for Chemical Engineering and Biotechnology (DECHEMA), Theodor-Heuss-Allee 25, 60486 Frankfurt am Main, Germany E-mail: Dmitri.ciornii@bam.de; Damjana.Drobne@bf.uni-lj.si Challenges in Nanorisk Governance Actionable document‘s quality is argued among stakeholders, consensus on what is reliable document is missing Public is not involved in decision making lack of trust in nanotechnology Decisions on nanorisk are not transparent Inefficient knowledge transfer/sharing, usability Sustainability and circularity are not poperly addressed by policy Fig. 1 KaRL approach in the framework of nanorisk governance Different stakeholders provide data to the specialized nanorisk governance council (NRGC). KaRL1-9 system could be used by NRGC for assessment of data and knowledge readiness. The readiness (maturity) progresses with each level (right hand-side, green boxes): the data, information and knowledge become more reliable and trustful, traceable and ready for the regulatory use.
DISSEMINATING OPEN SCIENCE: from librarians’ watch to in-house expertise / Originality and strengths The group’s success is based on the diverse background of the participants and the sharing of various skills around open science! A deep knowledge of the needs of the French librarians and communication skills are the key factors of the group • Working and communicating widely to raise awareness on emerging themes and trends • Making surveys and analyzing outputs • Organizing free webinars or workshops, and providing handy reference material dedicated to the community • Delivering concise and accurate information to Higher Education and Research institutions Sharing intelligence to foster negotiations: • Expertise on the French Digital Republic bill, on Text and Data Mining, on Plan S. • The group is working on identifying the terms of each current and future global agreements and trying to elaborate evolving scenarios to determine what would be a successful negotiation. • Given the success of the NegOA group, there are some ongoing reflections about the way to involve data and legal specialists into negotiations / Couperin missions Couperin is a consortium for electronic resources negotiations in France. Couperin missions To build and develop a national network of skills and exchange in the field of electronic resources. To evaluate, negotiate and organize the purchase of digital documentary contents at the best price for its members. Couperin aims to : • Help clarify and develop contractual relations with publishers • Contribute to the development of a French-language digital content offering • Promote access to electronic resources for people with disabilities • Produce and support studies on the use of electronic resources. • Promote national, European and international cooperation in the field of Scientific and Technical Information. • Promote open science Consortium unifié des établissements universitaires et de recherche pour l'accès aux publications numériques CONTACT Jacqueline Gillet jacqueline.gillet@inria.fr Cédric Mercier cedric.mercier@universite-paris-saclay.fr https://gtso.couperin.org / How the group works The group supports the open science community in France. Today OSWG is organized into 4 subgroups: • Research Data Subgroup Its goal is to propose an operational approach to research data management in the context of open science. • Open Access Negotiations Subgroup Its goal is to address the need for a better understanding of the open access components of the negotiations in the context of French research. • Legal SubGroup The group investigates legal issues related to open science. • Interoperability and Networks group The group is working to assess the interoperability issues between the different open science databases, tools and services. digital identity academic visibility databases repositories read and publish agreements advices for negotiators monitor international practice sharing best practices communicate plan s – rss – tdm surveys community resources for researchers tools for research support services training sessions
Two exceptions: (a) Lottery Tickets (LTs) and, (b) Dynamic Sparse Training (DST). Q: What makes DST and LTs the exceptions? We observe poor gradient flow at initialization and during training - even for LTs! Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win Utku Evci1, Yani Ioannou2, Cem Keskin3, Yann Dauphin1 1Google, 2University of Calgary, 3Meta 1. Motivation: Unstructured Sparse NN Training results in poor generalization 2. Poor Gradient Flow at Init.: We propose a Sparsity-aware Initialization 3. Poor Gradient Flow during Training: DST Improves gradient flow during training 4. Lottery Tickets Relearn the Pruning Solution: LTs are easier to train because they initialized within the same solution basin as the pruned solution, and effectively relearn the pruning solution dense initialization dense solution good pruned solution good pruning mask only (scratch) sparse initialization LT or scratch training ϴt=T ϴt=0 training ϴ0<t≪ T early snapshot LT initialization (revised) LT initialization (original) sparse solution LT: good, scratch: bad MDS Embedding Sparse NN training use dense initialization, but sparse NN have different fan-in/fan-out! Our sparsity-aware initialization accounts for fan-in/fan-out of unstructured sparse neurons giving: (a) better gradient flow at init. and, (b) better generalization a weight mask _ 1 _ _ 2 2 fan in 0 a 0 0 b c b c We investigate LT solns to pruned solns: (a) LTs start close and move towards to the pruning solution. (b) LT solutions are in the same basin as the pruning solutions. (c) high function similarity and poor LT ensemble performance
For further information visit: http://wedc-knowledge.lboro.ac.uk/ There will be times when it is not feasible to dig a deep pit. For example, when: • the water table is very close to the surface; • it is very difficult to dig more than 1.0 to 1.5 metres below water in a confined space; • there is hard rock close to the surface; and • the ground in which the pit is to be dug is so soft that it keeps collapsing before an adequate depth can be reached. In such circumstances it is often easier to dig two shallow pits than one deep one. The pits are usually connected to the toilet by short pipes that converge at an inspection chamber. The inspection chamber must have an air-tight cover to prevent flies and mosquitoes entering and odours escaping. Twin-pit latrines 1 Using a twin-pit latrine • Before use, the inspection chamber is opened and the outlet to one of the pits is blocked with a large stone or a block of wood. This forces all wastes from the toilet to pass into only one of the pits. • The first pit fills after about two years. The inspection chamber is reopened and the stone or wooden block is moved to cover the pipe leading to the full pit. The inspection chamber is closed again and the latrine returned to use. Wastes will now collect in the second pit. • When the second pit is full, the contents of the first pit will have been standing for at least two years and virtually all of the pathogenic organisms will have died. At this point, it will be safe to remove the pit cover slab and dig out the contents. By this time the pit contents will have broken down to leave an odourless material which can be safely spread on the ground to help improve the quality of soil. • After the first pit has been emptied the cover is replaced, the blockage in the inspection chamber is moved again and the first pit reused. • From then on, a pit is emptied every two years. Side view Handles for both pits and the chamber access cover © WEDC Top view (Distance between pits (a) = width of one pit) (a) (a) (a) Pit 1 (in use) Pit 2 (not in use) Inspection chamber with stone or block of wood for blocking secondary pipe © WEDC For additional information about twin pits refer to Poster 14. Developing knowledge and capacity in water and sanitation POSTER 13
Neutrino Energy Estimation Techniques in NOvA Nitish Nayak University of California, Irvine (For the NOvA Collaboration) 2. Detection Principle • Upgraded NuMI muon neutrino beam at Fermilab (700 kW design) • Longest baseline in operation (810 km), large matter effect (±30%), sensitive to mass hierarchy • Far/Near detector sited 14 mrad off-axis, narrow-band beam around oscillation maximum 1. NuMI Off-Axis νe Appearance Experiment [2]. P. Baldi, J. Bian, L. Hertel, L. Li Phys. Rev. D 99, 012011 • Tracking Calorimeter with Low-Z scintillator (mineral oil- based) • Finely segmented • Good separation • Radiation Length ~ 6 cell depths -> Good energy resolution WLS Fiber Readout at APDs CC νµ CC νe NC e−/µ−/⇡0 3. νe Energy Reconstruction • Identify EM and hadronic clusters using a context-enriched CNN [1] • Takes into account e/h detector response 5. νµ Energy Reconstruction • Muon hits grouped by a kalman tracking algorithm • Energy highly correlated with track length, resolution ~ 3% • Hadronic energy estimated from visible hadronic activity using a spline-based fit • Includes hadronic activity overlapping with muon track • Takes into account different regions of phase space in the underlying interaction model • Energy resolution ~ 26% • E(νµ) = Emuon + Ehadron with overall resolution ~ 6% 0 5 10 15 20 Reco Muon Track Length (m) 0 1 2 3 4 5 True Muon Energy (GeV) 2 − 10 1 − 10 1 NOvA Simulation Neutrino Beam 0 0.5 1 1.5 2 Visible Hadronic E (GeV) 0 1 2 3 4 5 True Neutrino E - Reco Muon E (GeV) 2 − 10 1 − 10 1 NOvA Simulation Neutrino Beam • Individual calorimetric energies are fit to true neutrino energy • E(νe) = A*EEM + B*EHAD + C*EEM 2 + D*EHAD2 • Helps to keep resolution bias flat vs true energy • Overall neutrino energy resolution ~ 11% 4. νe Energy - Further Improvements • Use images of the νe CC interaction directly and feed it into a regression based CNN • Minimal reconstruction dependence • Flattened input true neutrino energy distribution to control bias • Significantly better performance! [2] • Better control over systematic uncertainties 6. νµ Energy - Further Improvements • Tracking is more relevant for muons than calorimetry • Makes more sense to use physics- related reconstructed quantities as input • Feed track lengths, track energies etc into a LSTM-based RNN • Useful when number of inputs not known apriori • Similar unbiased training yields very promising improvements too! [1]. F. Psihas, E. Niner, M. Groh et al. Phys. Rev. D 100, 073005 A. Back, M. Groh - ML applications in NOvA (Poster) sequential output sequential input
Als Linked Open Data wird die direkte Vernetzung von frei verfügba­ ren Daten im Internet bezeichnet. Aufgrund der ständig wachsenden Datenmenge ergeben sich für die Wissenschaften daraus ganz neue Erkenntnismöglichkeiten. Dieses Wissensnetzwerk kämpft unter anderem mit dem Problem von nicht eindeutigen Begrifflichkeiten. Der natürliche Wortlaut ei­ nes Begriffs genügt datenverarbeitenden Systemen oftmals nicht, um sich dessen exakte Bedeutung zu erschließen. Eine maschinen­ lesbare Definition beinhaltet daher neben natürlichsprachlicher Er­ läuterungen auch Verknüpfungen zu anderen Datenquellen, um den korrekten Begriffskontext sicherzustellen. Labeling System ist eine Web-App, die an dieser Stelle ansetzt und mittels einer leicht bedienbaren Nutzeroberfläche das Erstellen von Begriffen und deren maschinenlesbarer Definitionen ermöglicht. Wissenschaftler*innen haben so die Möglichkeit, ihr Wissen als ”Lin­ ked Open Data“ zur Verfügung zu stellen und somit die Qualität der Forschungsdaten in ihrem Arbeitsgebiet zu verbessern. labeling system #Linked Data #Web-App #Usability #Publizieren im Netz #Metadaten Florian Thiery Axel Kunz Matthias Dufner Features • Leicht zu bedienender Web-Editor • Suchfunktion für Referenzthesauri wie Getty oder Wikidata • Erstellen, Definieren, Bearbeiten und Publizieren von digitalen Begriffen • Offener Zugriff auf das erstellte Wissens­ netz Hochschule Mainz – University of Applied Sciences – Lucy-Hillebrand-Straße 2 –55128 Mainz – mainzed.org Mainzer Zentrum für Digitalität in den Geistes- und Kulturwissenschaften