fairdataihub/poster-sentry-training-data huggingface dataset:
The goal § Accessible (and inclusive) availability of the three runic inscriptions and their metadata according to the FAIR principles 1. The state of the art § Damaged writing support § Progressive difficulty in reading the inscriptions § No ontological description of the texts and of the metadata available to date 3. The Method § Texts: TEI- EpiDoc XML (v. 9.5) and CRMtex (2.0 model) § Metadata: CRMtex (2.0 model) 4. Example: the inscription on the right shoulder vRunic texts: TEI-EpiDoc XML (v. 9.5) vMetadata: CRMtex (2.0 model) 5. Next Steps ØRTI-Dome ØLemmatization ØLinking ontological description to the 3D model Runes in Venice. Ontological description of the runic inscriptions on the Piraeus Lion (Venetian Arsenal) Paola Peratello Università Ca’ Foscari Venezia paola.peratello@unive.it DH Benelux 2024, Leuven: Breaking Silos, Connecting Data: Advancing Integration and Collaboration in Digital Humanities <div type="textpart" subtype="fragment" n="1"> <ab> <lb n="1"/>ᛅ<unclear>ᛍᛘ</unclear>ᚢᚾ<unclear>ᛐ</unclear>ᚱ᛭ᚱᛁ<unclear>ᛍᛐ</unclear>ᛁ<damage><gap reason="lost" extent="unknown" unit="char"></gap></damage><gap reason="lost" quantity="1" unit="char"></gap><unclear>ᚾ</unclear>ᚱᚦᛁᛍᛅᚱ᛭ᚦᛅᛁᚱ᛭ᛁᛍ<unclear>ᚴ</unclear> <lb n="2"/><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage>ᚦ<unclear>ᚢ</unclear>ᚱᛚᛁᚠ<unclear>ᚱ</unclear><gap reason="lost" quantity="4" unit="char"></gap>ᛅᚢᚴ᛭<gap reason="lost" quantity="1" unit="char"></gap>ᚢ/ᚱ<damage><gap reason="lost" extent="unknown" unit="char"></gap></damage><gap reason="lost" quantity="1" unit="char"></gap>ᚬ<gap reason="lost" quantity="1" unit="char"></gap><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage><gap reason="lost" quantity="5" unit="char"></gap><unclear>ᛐ</unclear><gap reason="lost" quantity="1" unit="char"></gap><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage> <lb n="3"/><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage>ᚢᚠᚱᚢ<unclear>ᚴ</unclear><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage>ᚱ<damage><gap reason="lost" extent="unknown" unit="char"></gap></damage><unclear>ᛋ</unclear><gap reason="lost" quantity="2" unit="char"></gap><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage><gap reason="lost" quantity="2" unit="char"></gap><damage><gap reason="lost" extent="unknown" unit="char"></gap></damage>ᚢᛅᚾᚠ<unclear>ᛅᚱᚾ</unclear>᛭ </ab> </div> TEI/EpiDoc XML Photos by Paola Peratello, 2023, on concession of the Comune di Venezia and of the Arsenale di Venezia. 1. Nᛍᛘunᛐᚱ᛭ᚱᛁᛍᛐᛁ…-nᚱᚦᛁᛍNᚱ᛭ᚦNᛁᚱ᛭ᛁᛍᚴ 2. …ᚦuᚱᛚᛁᚠᚱ----Nuᚴ᛭-u/ᚱ…-ᚬ-…-----ᛐ-… 3. …uᚠᚱuᚴ…ᚱ…ᛋ--…--…uNnᚠNᚱn᛭ Check the bibliography here Transrunification from Snædal 2016 Ontological description according to CIDOC-CRM and CRMtext Check the project here
SUBUrB Software zur Unterstützung von Bibliotheken bei urheberrechtlichen Bewertungen • Problem: Bestandslücken bei Bibliotheken • Fehlende Bücher müssen beschafft werden • Prüfung des Urheberrechts • Gemeinfreie Bücher können ausgeliehen und kopiert werden • Geschützte Bücher müssen (wenn verfügbar) gekauft werden • Prüfungen sehr aufwendig • Bisher manuell erledigt Literatursoftware SUBUrB • Prüfungen lassen sich automatisieren • Urheberrecht folgt klaren Regeln • Autoren seit über 70 Jahren tot: Werk gemeinfrei • Sonst: Werk geschützt • Software recherchiert Todesdaten • Beurteilung je nach Informationsstand Idee • Nutzer können Bücherlisten anlegen • Software sucht nach Daten in Katalogen • Deutsche Nationalbibliothek • Landesbibliotheken • … • Ergänzung fehlender Daten • Urheberrechtliche Beurteilung wird erstellt • Triviale Fälle können auch bei fehlenden Daten abgehandelt werden • Buch älter als 180 Jahre • Buch jünger als 70 Jahre • Ergebnisse werden übersichtlich dargestellt Funktionsumfang • Implementierung eines Prototypen • Vorstellung der Idee+Prototyp auf dem IRIS 2015 • 2. Platz beim Best Paper Award Aktueller Stand • Kooperation mit der Europäischen EDV-Akademie des Rechts (EEAR) • Suche nach Partnern (Bibliotheken) • Anpassung an Bedürfnisse der (späteren) Kunden • Erweiterungen für Digitalisierungsprojekte • Verwaiste und vergriffene Werke Entwicklung juris-Stiftungsprofessur für Rechtsinformatik Prof. Dr.-Ing. Christoph Sorge Cand. iur. Stefan Hessel Frederik Möllers, M.Sc. Übersicht über verwaltete Bücher (Screenshot des Prototypen). Verwaltung einzelner Werke (Screenshot des Prototypen). Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz.
www.rethinkaction.eu This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101037104 A platform to support local land-use decision making. Objective The main objective of RethinkAction is to engage citizens and decision-makers to participate in the energy transition and actively support climate adaptation and mitigation. Six representative case studies form the backbone of the RethinkAction project, covering the main regional differences related to climate change. Together with our End-User-Community we create an Integrated Assessment Platform. The user-friendly platform will empower citizens, stakeholders, and decision-makers to analyse climate change and incorporate climate action into the decisions that will affect our lives in the coming decades. Analysis at EU / global level Analysis at local level Land use-based Adaptation and Mitigation Solutions (LAMS) catalogue High-resolution climate data and land use maps. Climate change impacts and risks in each case study Land use-based Adaptation and Mitigation Solutions catalogued at local, EU and global scales Multiscale evaluation framework: 1) Future scenarios consistent across scales 2) Local system dynamic mo- dels for the integrated assessment of solutions 3) An upscaling function for solutions to EU and global scales (WILIAM IAM). • • • 1 Diagnosis 2 LAMS feasibility 3 Simulati on Interested? Engage! Help to make high-level information on land-use and climate change more accessible to people’s lives. Join our End-User-Community: Help to shape the direction in which RethinkAction is to be further developed. Expand and internationalise your professional network. Receive exclusive invitations to work meetings, training sessions and conferences organised by the project consortium. • • • What would happen if the LAMS assessed at local level…. …would be applied at EU / global level in all feasible locations? Upscaling solutions Simulati on with system dynamics integrated assessment model [WILIAM] An impression of the platform
Resolving Surface Features on M Dwarfs that Host Transient Corotating Material Ben Tofflemire1,†, Adam Kraus1, Andrew Mann2, Greg Mace1 1The University of Texas at Austin, 2UNC Chapel Hill †51 Pegasi b Fellow RIK 12 Toy Model Complex Periodic Variables Complex periodic variables (CPVs) exhibit narrow dimming events with variable morphologies and depths that are periodic with the stellar rotation. Dimming events emerge and disappear stochastically. CPVs are predominantly young (<~200 Myr), low- mass (M<0.4 M⨀), and rapidly rotating (P<1 d). The most likely explanation for this behavior is magnetically confined material orbiting in co-rotation with the star [1,2,3]. Monitoring with IGRINS We have monitored four CPVs in Upper Sco using the IGRINS spectrograph ([4,5], simultaneous H and K at R~45,000). Here, we showcase the results for RIK 12 ([6], M2.5 SpT, 5-10 Myr, Prot = 0.49 d, G mag = 13.8, K mag = 9.7) We reconstruct the stellar absorption profiles by computing spectral-line broadening functions using the saphires package [7]. We find: • Large rotational velocities (vsini>150 km/s), consistent with edge on viewing angles • Evidence for large and evolving spot features • No significant radial-velocity variability Modeling Surface Features The cadence and baseline of our observations do not allow for a full surface reconstruction. Still, we can use a toy model to investigate characteristics of surface features that are consistent with our observations. We find the amplitude of the line-profile deviations are challenging to reproduce with typical spot- photosphere surface brightness ratios in the NIR (~0.5). The depth and bread of the deviations are improved when incorporating polar spots. Our most extreme cases likely require obscuring dust. In summary, our spectra suggest the presence of: • Large, high-contrast (dark) spots near equator • Large polar spots • Potentially, obscuring dust Our sparsely sampled spectra highlight CPVs as prime candidates for future Doppler tomographic studies to fully reconstruct the stellar surface, and to measure the orientation and size of the transiting material. Resolution Element Rotational Phase Rotation Periods since K2 Signature of Dark Spots (or Obscuring Material) No evidence for RV variability Flux compared to a homogeneous surface Typical Residual Depth vsini Acknowledgements & References BMT acknowledges the Heising-Simons Foundation, and TESS Cycle 3 & 4 Guest Investigator Grants (80NSSC21K0780, 80NSSC22K0302) [1] – Bouma et al. 2024, AJ, 167, 38 [2] – Stauffer et al. 2017, AJ, 151,60 [3] – Zhan et al. 2019, ApJ 876, 127 [4] – Mace et al. 2016, SPIE, Vol. 9908 [5] – Mace et al. 2018, SPIE, Vol. 10702 [6] – Rizzuto et al. 2015 MNRAS,448, 2737 [7] – Tofflemire et al. 2019, AJ, 148, 245
1 2 3 4 5 6 7 8 BTSA** 1 et 2 Licence de biologie générale 2 et 3 Master 1 et 2 en Microbiologie Doctorat Nutrition animale, parasitisme et environnement BTSA** 1 et 2 Classe préparatoire ATS* École d’ingénieur Agroalimentaire- Agronomie Doctorat Nutrition animale et qualité des produits laitiers Doctorat Microbiologie et santé animale Doctorat Nutrition animale et qualité des produits laitiers École d’ingénieur en Agriculture avec classes préparatoires intégrées Master 1 et 2 en Sciences Animales Licence de biologie générale 1, 2 et 3 Master 1 et 2 en Microbiologie Doctorat Sélection génétique et santé animale École d’ingénieur en Agriculture avec classes préparatoires intégrées Lucie Laurianne Valentin Blandine Des parcours variés vers le doctorat (bac+8), à toi de créer le tien ! Bac *ATS : Adaptation de Technicien Supérieur **BTSA : Brevet de Technicien Supérieu r Agricole Clément Centre Auvergne Rhône Alpes - Theix Route de Theix 63122 Saint-Genès-Champanelle, France Tel.: +33 (0)4 73 62 40 00
DIE STORY IN DEN DATEN Robert Köpke IfL Leipzig Unser Use Case Im Projekt arbeitet das IfL an der Entwicklung von Visualisierungsformaten und der kritischen Analyse von Biodiversitätsdatensätzen. Das IfL entwickelt (raumbezogene) Visualisierungen sowie Methoden des visuellen Storytellings, um komplexe Datensätze verständlich darzustellen und unterschiedleiche Zielgruppen zu adressieren. Girlitz im Blick Seit vielen Jahren führt der DDA das Monitoring häufiger Brutvögel durch, unterstützt von zahlreichen geschulten Freiwilligen. Diese Story beleuchtet, wie die gesammelten Daten verarbeitet werden und welche Schlüsse daraus gezogen werden können, insbesondere im Hinblick auf den rückläufigen Brutbestand des Girlitz. Sie erzählt von den langfristigen Erkenntnissen aus Jahrzehnten der Datenerhebung und zeigt, wie Technik die Arbeit erleichtert. Von Ruf und Realität Die Süßwasserfische Brachse und Äsche, obwohl häufig vorkommend, erleben einen Bestandsrückgang. Die länderübergreifende Auswertung von Bestandsdaten, wie sie das Projekt NFDI4Biodiversity vornimmt, ermöglicht es, solche Entwicklungen frühzeitig zu erkennen und Schutzmaßnahmen einzuleiten. Diese Story zeigt am Beispiel dieser Fischarten das Potenzial der einheitlichen Datenverarbeitung für den Biodiversitätsschutz. DATENGRUNDLAGE - Harmonisierter Fischmonitoring- Datensatz ZIELGRUPPE - Wissenschaftler :innen - Fachpublikum FORSCHUNGSFRAGE Kartographische Methoden zur Visua- lisierung von Unsi- cherheiten in Vorkom- mensdaten und deren Einfluss auf Interpretation und Entscheidungsfindung. DATENGRUNDLAGE - Testflächen Monitoring häufiger Brutvögel ZIELGRUPPE - Ausgebildete Helfer:innen - Breite Öffentlichkeit FORSCHUNGSFRAGE Wie können räumliche Analysemethoden ein- gesetzt werden, um Muster und Trends zu identifizieren? Data Storys Die Verwendung von digitalem Storytelling, das Karten, Infografiken und Bilder einsetzt, ist eine effektive Methode, um Inhalte für verschiedene Zielgruppen ansprechend zu gestalten. Möglichkeiten Verbesserte Entscheidungsfindung: Erleichtern das Verständnis komplexer Daten, unterstützen so umweltpolitische und wissenschaftliche Entscheidungen. Interaktive Lernerfahrung: Multimedia-Elemente wie Videos, interaktiven Karten und Animationen können Nutzer die Daten erfahren lassen. Forschung und wissenschaftliche Analyse: Kann neue Muster und Zusammenhänge in Biodiversitätsdaten kommunizieren. Herausforderungen Zeitliche Dynamik: Darstellung von zeitlichen Veränderungen und Aktualität Interdisziplinäre Integration: Zusammenführung von Expertenwissen Darstellung von Unsicherheiten: Um Fehlinterpretationen zu vermeiden und ein realistisches Bild zu vermitteln. Dateninterpretation und -verfügbarkeit: Sicherstellung der Genauigkeit, Aktualität und Vollständigkeit der Daten.
Protect Bees, Save the Future I. Madaleno1, S. Branco1, students from 10th Grade Mechatronics1 1Externato Cooperativo da Benedita, Benedita, Portugal Abstract In this project students built a hive by adapting remote control systems for its internal environment (temperature and humidity) and external environment (door, fire, location). The solution was aimed at beekeepers, and anyone interested in getting started in the beekeeping industry. The main goals of the project were to facilitate the work of beekeepers and to improve the management, control and monitoring of hives. The solution created is feasible and satisfies the project's objectives. Keywords Automation; bees; electronics; robotics; sustainability.
State-independent wind Wind-related features Observing a black hole transient Javier Sánchez-Sierras E-mail: javisansie@gmail.com Instituto de Astrofísica de Canarias Wind-type outflows from the black hole X-ray binary MAXI J1820+070: the near infrared view SOFT HARD X-ray winds (expected) Optical winds Near-infrared winds MAXI J1820+070 is a low-mass X-ray binary (LMXB) with a black hole of ~8M☉located very nearby, at only 3kpc. It was discovered during a bright outburst of the source in 2018, which showed a standard evolution in the Hardness-Intensity Diagram (see image below), passing through the main accretion states: hard and soft. THE SPECTRA We obtained 8 spectra using VLT/X-shooter, a spectrograph with a wide spectral range from optical to near-infrared (3000 Å – 24750 Å). These observations cover the different accretion states (soft, red; intermediate, green; hard, blue). Optical winds have been observed during the bright-hard state, which is consistent with previous studies in other LMXBs, such as V404Cyg, V4641Sgr or GRS 1716-249. The optical winds discovered during the hard state were observed in some optical lines, such as Ha or HeI-5876Å. The wind-related features observed include P-Cygni profiles and broad emission line wings, and they showed velocities of 1200-1800 km/s. NEAR-INFRARED SPECTRAL RANGE We analysed several near-infrared lines during the hard state and found wind-related features such as blue- shifted absorptions and broad emission line wings (see image above). These features showed similar kinetic properties to the optical ones. During the soft state, these wind features disappear in optical lines but remain visible in the near-infrared spectra. The presence of wind-related features in near-infrared lines during both hard and soft accretion states, with similar kinetic properties to the hard state optical ones, suggests that they are tracing the same wind. This state-independent wind changes its visibility depending on the conditions of the material (i.e. temperature, ionization level, ...). This idea can be seen in the sketch above, which shows the presence of the wind during the 2018 outburst of MAXI J1820+070. This represents one more step to complete the picture of winds in X-ray binary outbursts. Sánchez-Sierras J. 1,2, Muñoz-Darias T. 1,2 1 Instituto de Astrofísica de Canarias (Tenerife, Spain), 2 Universidad de La Laguna (Tenerife, Spain) Based on paper: Sánchez-Sierras & Muñoz-Darias, 2020, A&A 640 L3
Altered Physiological Conditions Lead To Antibiotic Persistence In Vibrio Cholerae. Shridhar Paranjape*, Shashidhar R. Bhabha Atomic Research Centre, Mumbai, India. shridharsonda@gmail.com Introduction The physiological heterogeneity of a bacterial population is a complex phenomenon. The asymmetric cell division and asynchronous metabolic activities result in the population with age gradients. The persister cells are the transiently dormant cells which survive prolonged exposure to bactericidal antibiotics. We hypothesized that the changes in nutrient levels, which are common in the environment, can cause significant changes in tolerance to antibiotics. Here, an attempt has been made to disturb the cell physiology using different strategies to alter the antibiotic persistence. Methods • Antibiotics used: Ciprofloxacin, Ampicillin, Carbinicillin, Kanamycin, Erythromycin, Gentamycin and Chloramphenicol. Data 1. Mulcahy LR, Burns JL, Lory S, Lewis K. 2010 Dec;192(23):6191–9. 2. Harms A, Maisonneuve E, Gerdes K. Science. 2016 Dec 16;354(6318). pii: aaf4268. 3. Sharma B, Brown AV, Matluck NE, Hu LT, Lewis K. 2015 May 26;AAC.00864-15. 4. Balaban NQ, Merrin J, Chait R, Kowalik L, Leibler S. 2004 Sep 10;305(5690):1622– 5. 5. Fauvart, Maarten & De Groote, Valerie & Michiels, Jan. (2011). 60. 699-709. 10.1099/jmm.0.030932-0. Results 1. The V. cholerae forms persister subpopulations , when challenged with ampicillin and ciprofloxacin. (Fig. 1) 2. The persistence varies with the media type, in the order of decreasing persistence: TSB > LB > M9 > APW. (Table 1) 3. The reduced respiration is key to successful persistence. (Table 2) 4. The V. cholerae was sensitive to inhibition of protein synthesis with no persistence formation. (Table 3) • The present study reveals the complex responses of cell population under antibiotic treatment. • This research could be the beginning of phylogenic clad specific studies of persister cell formation with respect to cell physiology. • The persistence may represent a unique physiological state amongst the various physiological states in a bacterial population. – Single cell based studies may reveal more about the molecular mechanisms underlying persister physiological states. References Fig. 1.Effect of different antibiotics on exponential culture of V. cholerae Table 1. Persistence as a function of media type and nutrient. Table 2. Persistence as a function of respiration Table 3. Persistence as a function of protein synthesis Discussion Fauvart et al.(2011) 0 1 2 3 4 5 6 7 8 9 10 0 2 4 6 8 10 Log CFU ml-1 Time (hours) V. cholerae Ciprofloxacin Kanamycin Ampicillin Persister frequency Media V. Cholerae E. coli Luria Bertani broth 0.1 0.1 Tryptone soya broth 10 0.1 Alkaline peptone water 0.001 NA M9 minimal media 0.01 0.01 Antibiotic V. cholerae E. coli Aerobic An- aerobic ATP - uncoupler Aerobic An- aerobic ATP- uncoupler Ampicillin 1 10 10 0.01 100 100 Ciprofloxacin 0.1 100 10 0.01 10 100 Kanamycin 0 0.01 0 0.1 10 10 Antibiotic V. cholerae E. coli Kanamycin 0 0.1 Chloramphenicol 0 1.0 Erythromycin 0 0.1 Gentamycin 0 0.1
Cuscuta campestris Cuscută mare Familia Convolvulaceae, Clasa Magnoliopsida Plantă erbacee anuală, parazită, lipsită de cloroﬁlă, fără frunze, cu tulpini volubile, foarte ramiﬁcate, galbene-portocalii, ce formează prin împletire și răsucire plase laxe ce se întind ca o pânză pe suprafețe de mai mulți metri pătrați. Florile sunt nemirositoare, dispuse câte 10-30 într-un glomerul. Corolă campanulată, cu lobii triunghiulari, acuți. Fructul este capsulă globuloasă, ușor turtită, cu 2-4 semințe brune, ovoidale, cu suprafața neregulată. Foto credit: https://www.invasive.org/search/action.cfm?q=cuscuta+campestris Flori Fruct 1 Semințe
SITool (v1.0) An evaluation tool for large-scale sea ice model simulation Xia Lin, François Massonnet, Thierry Fichefet, and Martin Vancoppenolle 1) Absolute errors at each grid cell (1980-2007) Mean: ->monthly mean over 12 months (Meandiff) Interannual variability/trend: monthly anomalies -> standard deviation (SDdiff)/linear regression (Trenddiff) 2) Average spatially weighted by grid cell areas 3) Scaled by typical errors (absolute difference between two observations) Meandiff = ∑!"# !"#$ ∑&"# &"' ()* !,& ,(#* !,& ×.& ∑&"# &"' .& × #! ∑!"# !"#$ #! (1) SDdiff = ∑&"# &"' $%(')&(')* & )($%('#&('#* & ) ×*& ∑&"# &"' *& (2) Trenddiff = ∑!"# !"$ "#$%&((%!)(%& ! ))"#$%&((#!)(#& ! ) ×,! ∑!"# !"$ ,! (3) 𝑛(months); 𝑖(grid cells); 𝐶/0, 𝐶10/ 𝐶/, 𝐶1(two monthly mean/monthly ice concentration); A (grid cell area); D (days in each month). Sea ice plays a fundamental role in the polar environment, by influencing air–ice and ice–sea exchange, atmospheric and oceanic processes, and climate change. Large inter-model spread exists in the performance of sea ice simulations. Systematic projections and evaluations on sea ice simulations are needed. Want to quantify the bias in sea ice simulations? Want to track performance across different model versions? Try SITool released on the GitHub (open-access): https://github.com/XiaLinUCL/Sea-Ice-Evaluation-Tool A performance metrics and diagnostics tool developed to evaluate the skill of Arctic and Antarctic model reconstructions of sea ice concentration, extent, edge location, drift, thickness, and snow depth. 1 The concept of the SITool 3 Application to CMIP6 OMIP 2 The methods in SITool Find more information on the sea ice edge location, drift, thickness and snow depth in Lin et al. (2021). Xia Lin, François Massonnet, Thierry Fichefet and Martin Vancoppenolle, SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP. Geosci. Model Dev., 14, 1–24, 2021. SITool provides metrics and diagnostic maps 3.1 Sea ice concentration 3.2 Sea ice extent Any comments/questions? Get in touch! xia.lin@uclouvain.be Metrics: Lower values -> better skill 1) Model errors >> observational uncertainty 2) Improved simulations from OMIP1 (CORE-II) to OMIP2 (JRA55-do) 3) Lower skill on the ice concentration variability Ice extent: total area of grid cells with the ice concentration above 15% -negative ice extent biases in the summer reduced in OMIP2 Model mean ice extent monthly anomalies; -large bias reduced under OMIP2 Diagnostic maps: Reduced negative bias of summer Arctic ice concentration in OMIP2