Contact Mag.med.vet. Cynthia Sohm: cynthia.sohm@vetmeduni.ac.at Acknowledgements This project was founded by the federal state of Lower Austria. Grant number WST3-F-5033836/001–2020 • Isolate and genotype circulating Leptospira strains from cattle in Austria, to enhance the performances of the serological diagnostic test for humans and animals. • Further the understanding of the local epidemiology of this zoonotic disease. Goals • Inclusion criteria: a) High-risk farms: Farms presenting two of these four characteristics: > 34 head of cattle on the farm, introducing new cattle (buying), access to pasture, history of abortions. b) Symptomatic cattle: Cattle presenting one of these six symptoms: abortion, fertility disorder, photosensitisation, icterus, haematuria, decrease in milk yield. Older cattle were prioritised, no systemic antibiotic treatment within two weeks prior to the sampling. • PCR: • 5/410 (1.2%) cattle positive. • Six urine samples (from four cattle) and three kidney samples. • Sequencing lfb1 gene: Successful in 5/6 urine samples: all identified as Leptospira borgpetersenii. • Culture: • Three isolates from the three PCR positive kidney samples. • Growth detected after seven, 18 and 23 weeks of cultivation. • Required addition of foetal calf serum (FCS). • cgMLST: All three isolates were identified as Leptospira borgpetersenii serogroup Sejroe, serovar Hardjobovis [5]. Results • First isolation and subsequent genotyping of locally circulating pathogenic Leptospira in Austria. • Initial step towards enhancing the performances of the serological diagnostics for both humans and animals withing the country. • Cattle may act as carrier of pathogenic Leptospira in Austria. • Zoonotic potential of the identified circulating strain. Farmers, veterinarians & slaughterhouse workers at higher risk of infection. • Leptospirosis should be considered as differential diagnosis for bovine abortions in Austrian cattle. Conclusion 1 Haake DA & Levett PN. (2015). Leptospirosis in humans. In: Adler B, editor. Leptospira and leptospirosis. Current Topics in Microbiology and Immunology. Vol. 387. Berlin, Heidelberg: Springer Berlin Heidelberg. p. 65–97. 2 O’ Doherty E, et al. (2015). Effect of exposure to Neospora caninum, Salmonella, and Leptospira interrogans serovar Hardjo on the economic performance of Irish dairy herds. J Dairy Sci 98 (4): 2789–800. DOI 10.3168/jds.2014-8168 3 World Health Organization (WHO). Leptospirosis laboratory manual https:// www. who. int/ publi catio ns/i/ item/ B2147 (2007). 4 World Organisation for Animal Health (WOAH). 3.1.12 Leptospirosis in Manual of Diagnostic Tests and Vaccines for Terrestrial Animals 2022 https:// www. woah. org/ filea dmin/ Home/ fr/ Health_ stand ards/ tahm/3. 01. 12_ LEPTO. pdf (World Organisation for Animal Health, 2021) 5 Sohm C, et al. 2024. First isolation and genotyping of pathogenic Leptospira spp. from Austria. Sci Rep 14 (1): 1–9. DOI 10.1038/s41598-024-53775-w. References • Leptospirosis is a globally spread zoonotic disease, which mainly affects humans and mammals. • The disease is caused by pathogenic bacteria of the genus Leptospira. • In humans the symptoms range from mild, influenza-like syndrome to the potentially deadly Weil’s disease [1]. • In cattle, abortions and fertility disorders are common signs of infection. Therefore, leptospirosis can lead to significant financial losses [2]. • The microscopic agglutination test is the gold standard for the sero-diagnosis. The World Health Organization and the World Organisation for Animal Health recommend the inclusion of locally circulating strains in the panel of live strains [3,4]. • In Austria no local strain has been available for diagnostic purposes. Background • Targeted sampling: Based on a systematic literature review and analysis of national serological data. • Urine and/or kidney samples of: a) Routinely slaughtered cattle from identified high-risk farms located in Lower Austria, and b) Cattle from farms


Website: https://daxfeliz.github.io/ Email: dax.feliz@vanderbilt.edu NEMESIS: Exoplanet traNsit survEy of nearby M-dwarfs in TESS FFIS Dax Feliz [1,2], Peter Plavchan [3], Samantha Bianco [1], Mary Jimenez [3] Kevin Collins [3] , Bryan Villareal Alvarado [4] and Keivan Stassun [1] Fisk University [1], Vanderbilt University [2] George Mason University [3], University of Costa Rica [4] - In this work, we’ve analyzed over 35,000 M-dwarf stars located within 100 parsecs of Earth that were observed in TESS Sectors 1 - 5 with 30 minute cadences. - Of those 35,000, we’ve identified 183 transit signals, 29 of which we’ve determined to be due to planetary eclipses. - The planet candidates we’ve detected have planet radii ranging from 1.26 - 5.31 Earth radii and orbital periods ranging from 1.25 to 6.84 days. - 24 of our 29 candidates are new detections! Project Summary From Images to Photometry to Transit Detection - Extract Raw photometry and remove short term instrumental effects by using a Pixel Level Decorrelation (PLD) algoritm based on Deming et al. 2015 - Remove long term stellar variations with a time-windowed median based smoothing function (Wötan, Hippke et al. 2019a). - Once the photometry is extracted and cleaned, we then perform an algorithmic search using Transit Least Squares (Hippke et al. 2019b) for the period range 1 - 9 days. Gallery of Detected Exoplanets Target Star Selection Criteria NEMESIS Photometric Precision All target stars are filtered using stellar parameters from TIC v8 - 2300 K < Effective Temperature < 4000 K - Stellar Radius < 0.5 Solar Radius - Stellar Mass < 0.5 Solar Mass - Logg > 3 - Distance < 100 parsecs - Targets are also cross referenced with the TESS Candidate Target List (CTL, Muirhead et al. 2018). Green borders are TOIs Grey space marks the ranges between the radius valley radius-period slopes for Sun-like stars to low mass stars 60 ppm hr -1/2


Non-reproducibility of scientiﬁc studies (e.g. 64% in pharmacological studies [2], 89% in cancer [3], and 66% in psychology [4]) is often due to imprecise speciﬁcation of the scientiﬁc protocol in publications. To address this issue, we develop methods to apply the FAIR data principles to protocols and workﬂows. Speciﬁc research questions are: 🡪 How can workﬂow and protocol speciﬁcations, e.g. standard operating procedures, be published as FAIR data? 🡪 How to abstract from concrete workﬂow to general protocol speciﬁcations (e.g., with semantic templates) to improve reproducibility? 🡪 How to model and integrate non-computational steps in workﬂow and protocol speciﬁcations? FAIR Workflows Data publishing of scientific protocols João Moreira1, Tobias Kuhn1, Michel Dumontier2, Remzi Celebi2 , Ahmed Hassan2, Harald Schmidt2, Lars Ridder3 , Valentina Maccatrozzo3, Roel Zinkstok3, Carlos Martinez3 1 University VU Amsterdam, Netherlands. 2 Maastricht University, Netherlands 3 Netherlands eScience Center, Netherlands Motivation and research questions [1] Vasilevsky, N. A., Brush, M. H., Paddock, H., Ponting, L., Tripathy, S. J., LaRocca, G. M., & Haendel, M. A. (2013). On the reproducibility of science: unique identiﬁcation of research resources in the biomedical literature. PeerJ, 1, e148. doi:10.7717/peerj.148 [2] Prinz, F., Schlange, T., & Asadullah, K. (2011). Believe it or not: how much can we rely on published data on potential drug targets? Nature Reviews Drug Discovery, 10(9), 712–712. doi:10.1038/nrd3439-c1 [3] Begley, C. G., & Ellis, L. M. (2012). Drug development: Raise standards for preclinical cancer research. Nature, 483(7391), 531–533. doi:10.1038/483531a [4] Klein, R. A., Ratliﬀ, K. A., Vianello, M., Adams, R. B., Bahník, Š., Bernstein, M. J., Brumbaugh, C. C. (2014). Investigating Variation in Replicability. Social Psychology, 45(3), 142–152. doi:10.1027/1864-9335/a000178[ Requirements based on user stories 🡪 Platform that supports reproducing experiments and their results 🡪 Share workﬂows in ﬁndable data repositories (FAIR data points) 🡪 Use community standards and tools to share workﬂows 🡪 Detailed speciﬁcation of computational and manual workﬂow steps 🡪 Track workﬂow executions with versioning and provenance Preliminary results 🡪 Workﬂow ontology and semantic templates for metadata management 🡪 Common Workﬂow Language (CWL) for interoperability of workﬂow systems 🡪 FAIR technologies: Data Points, Nanopublications, Projectors and Accessors 🡪 Prototype plug-in for IPython/Jupyter notebooks Validation 🡪 Case studies and user study with drug repositioning and systematic reviews Impact Domain-agnostic: applicable to other ﬁelds to improve reproducibility in a vast area of scientiﬁc research Pharmaceutical research eﬃciency: improve identiﬁcation of cardiovascular drug candidates Approach Workﬂow step operations edam:QueryAndRetrieval edam:Parsing edam:Mapping edam:DataHandling edam:Aggregation edam:NetworkSimulation obi:SimilarityCalculation mls:HyperParameterSetting mls:ModelEvaluation obi:WesternBlotAnalysis edam:EnrichmentAnalysis edam:PathwayOrNetworkVisualisation P-PLAN SIO: Semanticscience Integrated Ontology Ontology engineering 🡪 Systematic literature review of existing ontologies and gap analysis 🡪 Ontology-driven conceptual modelling and ontology alignments 🡪 Proof-of-concept: semantic wrapper (proxy) DOLCE+DnS Ultralite (DUL) OpenPREDICT use case 🡪 Machine learning algorithm for cardiovascular drug repositioning 🡪 IPython/Jupyter notebook


Apache Point Observatory Kepler Pseudo-Haiku Abstract Sleepy fat old suns, Not Always though. Not for them: Couples, merged, massive. Patrick Gaulme1, Federico Spada1, Jason Jackiewicz2 1 Max Planck InsKtute for Solar System Research 2 New Mexico State University During the main sequence, stars with a convecKve envelope (M≤1.3Msun) lose spin while aging because their surface magneKc ﬁelds carry angular momentum away. Intermediate-mass (1.3≤M≤3 Msun) do not lose such spin. However, a small fracKon of red giants display (large) v sini ≥ 10 km/s (e.g., Carlberg+2011 [1]). We expect the intermediate-mass stars to show large v sini but they are missing in recent surveys of acKve red giants (e.g., Ceillier+2017 [2], Tayar & Pinsonneault 2018 [3]). Photometric measurements of spoby (spinning) stars exhibit pseudo* periodic modulaKons *“Pseudo” because spots evolve As they enter the red giant phase stars spin down by convecKve envelopes expanding and gefng (Gaulme+2020, A&A 639, 63) 3+ years of photometric data of the 4500 brightest red giants observed by the NASA Kepler mission. A subsample of ≈ 100 red giants monitored with the échelle spectrometer of the 3.5-m telescope at Apache Point Red giant branch Red clump RESULTS: the magneKcally acKve red giants split into three groups: 1) red giants in close binary systems spun-up by Kdal forces; 2) solar-mass clump stars that engulfed a stellar/substellar companion on the red giant branch; 3) intermediate-mass stars that were fast rotators on the main sequence. Radial velocity variaKons + Chemical abundances References [1] ApJ 732, 39 [2] A&A 605, 111 [3] ApJ 868, 150 Database The Gaulme+2020 asteroseismic analysis is on the CDS. § Red giants in close binaries exhibit photometric variaKons 10x larger than the single ones with same spin rate. Why that? § Despite having surface magneKc ﬁelds, intermediate-mass stars have spin rates lower than expected. When and how angular momentum vanished? § About 10% of our spectroscopic red giants are lithium rich, but there is no correlaKon with any of the 3 types of magneKcally acKve red giants


CEPLAS – Cluster of Excellence on Plant Sciences – is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC-2048/1 Cooperation: Publications: One Resource to Teach Them All Dominik Brilhaus1, Martin Kuhl2, Cristina Martins Rodrigues3, Andrea Schrader4 (in alphabetical order) 1: Data Science and Management, CEPLAS, Heinrich Heine University Düsseldorf, Germany, 2: Computational Systems Biology, DataPLANT, University of Kaiserslautern-Landau, Germany, 3: eScience, DataPLANT, University of Freiburg, Germany, 4: Data Science and Management, CEPLAS, University of Cologne, Germany Teaching materials are often scattered, hard to find, and fragmented. We follow the principles of Open Educational Resources (OER) promoting easy access to educational materials and increased chances of educational equity[1]. A central collection of materials allows the respective community to add and improve contributions with transparent and traceable authorship and licensing of contents. We aim at one adaptable OER for all: a light-weighed, central, reusable, open and contribution-open resource of materials for varying learning environments. Therefore, we develop a teaching material resource based on the concept of annotated bricks along didactic paths for DataPLANT. Motivation Screenshot of the DataPLANT teaching-materials-concept GitHub repository. Implemented and further developed in the DataPLANT Knowledge Base: https://nfdi4plants.org/nfdi4plants.knowledgebase/ § Individual slides/text/paragraph § Smallest possible educational content snippet § Coherent building blocks - slide decks § Cover a complete idea, thought or topic § Combined building blocks § Composed along a didactic path adapted to a learning environment, target group or person 3 Levels Balance Customisation & Reuse Modular concept for the DataPLANT OER. § Inspired by previous recommendations[2,3] § Aggregated YAML front matter § In markdown files along didactic path upon compilation. § Didactic Path § Ordered list of paths to bricks, units, disseminations § May contain metadata in a levelled YAML header § Suggested Tools § Design: VS Code + Marp extension § Collaborate: Git + GitLab/GitHUB § Compile / Convert: (Py)MarpCombiner + Marp CLI Metadata: From Bricks to Disseminations Left: Didactic path example with paths relative to the root of the repository. Another option: paths relative to the output location. Right: Example “version control using Git” to elaborate our levelled concept. We acknowledge the support of DataPLANT, funded by the German Research Foundation (DFG) within the framework of the NFDI – project number: 442077441 & CEPLAS, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within Germany´s Excellence Strategy – EXC-2048/1 – project ID 390686111. References: 1: UNESCO (2022) UNESDOC Digital Library, Catalog Number 0000383205, accessed: Apr. 21, 2023. 2: Garcia, L et al. (2020) PLoS Comput Biol, vol. 16, no. 5, e1007854 3: Batut, B et al. - PURL: https://gxy.io/GTN:T00062, accessed: Apr. 21, 2023 Collaborations: Visit the Concept Repository Bricks Disseminations Units Didactic path


Sample Selection We selected a sample of AM CVn targets from the collection of G. Ramsay et al. (2018) [4]. The NAVOO Project: photometry for AM CVn candidates Fig. 3. BinaPhot results for an observation night of ASASSN-14mv in Open filter. AM CVn Cataclismic Binary Systems AM Canum Venaticorum (AM CVn) systems are a unique subclass of cataclysmic variables where two DB white dwarfs exchange hydrogen-depleted material (Figure 1). They are characterized by their short orbital periods ranging from 5 to 65 minutes. These systems display superhump periodicities, resulting in a broad range of photometric variability. The number of known AM CVn systems has significantly increased from just 4 in the 1990s [1] to 70 today [2]. Despite this growth, Roelofs et al. (2007) predicted a much larger galactic population of 3x105 - 3x106 AM CVn systems [3]. Furthermore, only about 60 of the currently catalogued candidates have well- determined orbital periods, highlighting the importance of each new characterization. The Nice AM CVn Optical PrOject (NAVOO) was created for revisiting known AM CVn targets to obtain or refine their physical parameters. This project has already been granted observation time: four nights of photometry with the small-size telescopes at the Observatorio del Teide (the IAC80 and Carlos Sánchez Telescopes), and one night of spectroscopy with the Isaac Newton Telescope (INT) at the Observatorio del Roque de los Muchachos. Source Period (mins) Outbursts? Mag. Range (filter) ASASSN-14mv 41:(sh) Yes 11.8(V)-18.1(V) ASASSN-14fv ? Yes 14.6(V)-20.5(B) PU Aqr (SDSS J2047+0008) ? Yes 17.0-24 Gaia16all ? Yes 16.2-20.6(G) PTF1 J1523+1845 ? Yes 17.6-23.5 CRTS j0844-0128 ? Yes 17.4-20.3 DGMetrix DGMetriX is a set of user-friendly PyRAF scripts [6] for image reduction and photometric analysis of eclipsing systems. They all have been designed to fit any telescope and set of filters, thus providing a uniform way of obtaining differential photometry for diferent observations. • PhotoRed: Script to perform the reduction process, based on bias and overscan substraction, and flatfield correction. • AstroNet: The astrometrization process is done using Astrometry.net [7]. The script automatically detects the stars of the image and saves the astrometrization results in the images headers. • BinaPhot: The core of the script uses daophot to perform differential photometry. Some important corrections (i.e. airmass calculation, mean-FWHM computation) are applied to obtain small photometric variations. First BinaPhot results for ASSAN-14mv are shown in Figure 3. More observations are required in order to refine the period. Fig. 1. Artistical representation of a standard AM CVn system. Fig. 2. Average spectrum of ASASSN-14mv from WHT. Spectral Data Spectra for ASASSN-14mv were already taken and will be soon reduced and compared with those acquired by J. Green et al. (2020) [5] (Figure 2). References [1] Ulla, A. (1994). The AM CVn systems: A bibliographic search for clues to their cataclysmic nature. Space science reviews, 67(3), 241-362. [2] Pichardo Marcano, M., Rivera Sandoval, L. E., Maccarone, T. J., & Scaringi, S. (2021). TACOS: TESS AM CVn Outbursts Survey. Monthly Notices of the Royal Astronomical Society, 508(3), 3275-3289. [3] Roelofs, G. H. A., Nelemans, G., & Groot, P. J. (2007). The population of AM CVn stars from the Sloan Digital Sky Survey. Monthly Notices of the Royal Astronomical Society, 382(2), 685-692. [4] Ramsay, G., Green, M. J., Marsh, T. R., Kupfer, T., Breedt, E., Korol, V., ... & Aungwerojwit, A. (2018). Physical properties of AM CVn stars: New insights from Gaia DR2. Astronomy & Astrophysics, 620, A141. [5] Green, M. J., Marsh, T. R., Carter, P. J., Steeghs, D., Breedt, E., Dhillon, V. S., ... & Wild, J. (2020). Spectroscopic and photometric periods of six ultracompact accreting binaries. Monthly Notices of the Royal Astronomical Society, 496(2), 1243-1261. [6] Science Software Branch at STScI. PyRAF: Python alternative


Co-Creative Decision-Makers for 5.0 Organizations Value Co-Creation Labs 6 national networks of socio-economic actors dedicated to 5.0 collaborative value creation will be established. The VCC Labs are physical installations based on the Digital Innovation Environment powered by OMiLAB, enhanced with 5.0 resources that facilitate multi-stakeholder collaboration. Innovation Boosters and Catalyzers A knowledge sharing platform dedicated to support both BOOSTERS (collaborative 5.0 networks and initiatives among socio-economic actors) and CATALYZERS (learning and educational activities for the certification and development of knowledge, skills and competences) will be developed. 30 cases studies of 5.0 collaborative innovation projects will be implemented, emphasized by an annual International Prize of Innovation. 5.0 Certification A unique European Open Badge Certification for Decision-Makers for 5.0 Organization will be created and experimented, with an objective of more than 450 badges at the end of the project. Materials and methodologies, covering knowledge, skills and competencies with a unique development frame, shared by all sectors of application (health, agritechnology, industry) are included. Educational and Vocational Training The learning content required for 5.0 organizational Decision-Makers is collaboratively designed by Higher Education Institutions (HEI) and Vocational Education and Training (VET) facilities, supported by the industry partners with case-study and praxis examples. 8 vocational training offers and 11 academic training curriculum will be implemented and experimented through 6 European countries. Project Lead: Prof. Xavier Boucher Mines Saint-Etienne, France info@codemo-project.eu Follow & Join Us on the 5.0 Journey! Duration: Oct. 23 - Sept. 26 Project Number: 101104819 Our Partners: resilient . human-centric . sustainable


New Immunofluorescence-Based Services CD BioSciences, a US-based biotechnology company focusing on the development of imaging technology, has recently launched its new services based on immunofluorescence technology to provide researchers with diverse analysis and accurate results on fixed or fresh samples. These new services can be applied to the detection of circulating autoantibodies/antigens in cells and cell membranes/ immune complexes in biopsy material/circulating immune cells. Immunofluorescence is one of many techniques used in biomedical research and diagnosis. It uses the sensitivity and selectivity of fluorescence to analyze biological tissues. The basic reaction in immunology is the antigen-antibody reaction. When an antigen-antibody reaction occurs, the high specificity of the reaction means that once one factor is known, another factor can be identified. In the immunofluorescence technique, an antibody (or antigen) is labeled with a fluorochrome that does not interfere with the activity of the antigen and antibody, binds to its counterpart, and shows a specific fluorescent reaction under a fluorescence microscope. Immunofluorescence techniques can be used to detect proteins and other biomolecules in cells and tissues. Scientists can utilize immunofluorescence technology for a variety of laboratory tests and observations, providing a new perspective on the samples being analyzed. Researchers can also apply this technique to fixed or fresh samples to obtain multiple analysis and accurate results. CD BioSciences now offers customers with customized services based on immunofluorescence technology for scientific studies, including detection techniques of Fluorescence Microscopy, Laser Scanning Confocal Microscopy, and Flow Cytometry. The basic function of a fluorescence microscope is to transfer excitation energy to a fluorescent dye in the specimen, separate the weakly emitted fluorescence from the excitation light, and deliver it to a detector to produce a contrast image. The specificity and high sensitivity of Fluorescence Microscopy allow it to study cellular and subcellular structures in biological tissues at high resolution. It provides three-dimensional spatial information and temporal variation of spatial information in living cells. Confocal Microscopy is a well-established biomedical research tool that provides enhanced light microscopic imaging of cells labeled with fluorescent dyes. Its main application is the high-resolution analysis of subcellular components in three dimensions. The main difference to conventional epifluorescence microscopy is the imaging method. The former provides an image of the entire specimen, while Confocal Microscopy focuses on a single spot of light and scans the specimen line by line.


FOR MORE INFORMATION lasar@canterbury.ac.uk www.epistemicinsight.com/ees We are working with partnership schools to investigate Big Questions! Have you ever stopped to think about how we gain knowledge?


Processus d’apprentissages et de développement de compétences en situation informelle à travers l’utilisation des TIC Valérie Payen Jean Baptiste, Haïti, valeriejbpayen@gmail.com Doctorante, Université de Genève-TECFA, Suisse Brève présentation de l’étude: cette thèse est centrée sur l’étude des apprentissages réalisés en dehors d’un milieu formel. L’objectif est de rendre compte des processus d’apprentissages et de développement de compétences en milieu informel via l’utilisation des TIC. Pour explorer l’objet d’étude les pratiques des vendeurs et réparateurs évoluant dans le secteur économique informel en Haïti furent observés et analysés. Ces pratiques regroupent les activités d’appropriation, d’exploitation, et de transformations exercées sur et avec l’outil téléphonique par les acteurs du milieu, leurs modes d’organisations, de production et leurs processus de transmission de savoirs. Cadre théorique: Trois axes théoriques son mobilisées pour étudier le concept de l’apprentissage informel 1- Les systèmes d’activité humaine médiatisée par un artefact pour l’apprentissage de nouvelles compétences (Théorie instrumentale de Rabardel , 1995. Les théories des systèmes d’action, Leontiev, 1978; Vygosky , 1978; Engerström, 1987 2- L’influence des pratiques sociales sur le processus d’apprentissage (Les trois dimensions d’influence des pratiques sociales, Wenger, 2005). 3- Parcours de développement des compétences: les trois approches de reconnaissance des compétences (Le Bortef,1998). L’influence des trajectoires sur le développement des compétences Dominice, 1999 Méthodologie: Recherche ethnographique en immersion sur plusieurs sites d’observations différentes selon l’approche ethnographique itinérante multi située (Marcus, 1995) sur deux années consécutives : 2017 – 2019. Collectes des données - Entretiens, Observation participante et non participante audios via WhatsApp - Entretiens semi diriges. - Observation participante in situ - Enregistrements audios et vidéos. Analyse des données Analyse thématique descriptive et interprétative des données Vander Maren, 1996; Braun & Clark, 2006; Miles, M. B., Huberman, A. M., & Saldana, 2013 Question principale de recherche: quelles sont les actions, les interactions, les modes d’organisation, les trajectoires qui influencent l’apprentissage et le développement de compétences des vendeurs, des réparateurs et fabricants de téléphones mobiles sur le marché informel en Haïti ? FACULTÉ DE PSYCHOLOGIE ET DES SCIENCES DE L’ÉDUCATION


Humanities for Change Un network sul futuro delle discipline umanistiche CHI SIAMO Humanities for Change è un network di giovani studiosi e studenti universitari che intende presentare un ideale alternativo per il presente e il futuro della cultura umanistica. L’assunto di base è che le discipline umanistiche debbano fuoriuscire dalle cerchie ristrette del dibattito accademico per divenire strumento dell’agire pratico e prerequisito essenziale per una società democratica. In questo modo possono offrire una maggiore consapevolezza della complessità propria delle problematiche di ordine politico, sociale ed economico. IL PUBBLICO Con la sua attività di divulgazione, il network si propone di raggiungere una vasta platea, non di soli esperti del settore. L’approccio contaminatorio e multidisciplinare di cui si avvale è perseguito con il costante utilizzo di più canali di comunicazione (social network, video, blog, rivista) in grado di intercettare diverse fasce di pubblico ed è favorito dalla distribuzione di tutti i contenuti con una licenza Creative Commons che ne incentiva la condivisione. ✦ Il blog di Humanities for Change, con i suoi articoli in italiano e/o in inglese pubblicati sul sito principale e sulla piattaforma di blog accademici Hypotheses, è uno spazio di dialogo dove i giovani specializzandi possono pubblicare i loro contributi. Accoglie anche le recensioni delle principali novità editoriali del settore. ✦ Grazie alla collaborazione con altre associazioni culturali, a partire dagli articoli di digital and public history proposti nel blog vengono realizzate alcune interviste a docenti ed esperti. In aggiunta a ciò, il network pubblica in autonomia podcast e brevi video su alcune tematiche di rilievo. ✦ Con il ﬁnanziamento degli enti universitari, il network realizza alcuni eventi nei quali un relatore esterno dialoga con un docente dell’università ospitante e con un collaboratore del network. Per raggiungere un pubblico più ampio, gli incontri sono trasmessi in streaming. ✦ L’ultima sﬁda (ancora in corso) è quella di realizzare una rivista scientiﬁca internazionale, quadrimestrale, con un sistema di double-peer review. Accoglierà contributi in lingua inglese più corposi di quelli del blog e sarà distribuita in formato open- access su un nuovo sito e sui portali tematici di riferimento. INIZIATIVE E PROGETTI www.humanitiesforchange.org ✦ www.hfc.hypotheses.org ✦ info@humanitiesforchange.org CREDITS: SARTOR 2020


MAPPING THE PATIENT JOURNEY: Understanding experiences and barriers to care in the context of poorly understood chronic illness. Natalia Duda¹ (dudan@tcd.ie), Dr Rebecca Maguire² & Dr Siobhán Corrigan¹ ¹ School of Psychology, Trinity College Dublin, Ireland ² Department of Psychology, Maynooth University, Ireland A N A L Y S I S Rich and detailed account of patients' lived experience. SURVEY LIFE GRID INTERVIEW Temporal aspects of the journey: Symptom onset, help-seeking, diagnosis, referrals, coordination of care Participant demographics Descriptive analyses Exploratory analyses Interpretative Phenomenological Analysis (IPA) C O N C L U S I O N S The present study provides a novel approach to exploring the lived experiences and journeys of patients with poorly understood chronic illness. By mapping patients' encounters with the healthcare system over time, it provides a pragmatic evaluation of healthcare quality, highlighting areas where improvements can be made to enhance patient- centred care. The study's findings will contribute to a broader understanding of the challenges faced by patients, emphasizing the significance of effective communication between patients and clinicians, especially in the face of medical uncertainty. Chronic illnesses with poorly understood or medically unexplained symptoms can be challenging for both patients and healthcare providers. Patients often experience lengthy healthcare journeys characterized by diagnostic and prognostic uncertainty, suboptimal communication, and strained consultation dynamics M E T H O D O L O G Y Snowball sampling methods Adults with poorly understood conditions Brief demographic questionnaire (online) Life grid (online or paper-based) Semi-structured interviews (virtual or in-person) A mixed-methods approach and participatory design to explore patients’ experiences of healthcare. Three components: THE LIFE GRID INTERVIEW O B J E C T I V E S To explore the journeys of patients with poorly understood chronic illness using Life Grid interview methodology; To describe and map patient pathways; To identify factors that act as barriers or facilitators to care. 1. 2. 3. R E F E R E N C E S Parry O, Thompson C, Fowkes G. Life Course Data Collection: Qualitative Interviewing using the Life Grid. Sociological Research Online. 1999 Jul 1;4(2):102–12. Richardson J, Ong BN, Sim J, Corbett M. Begin at the beginning… Using a lifegrid for exploring illness experience. Social research update. 2009;57:1-4. 1. 2. Preliminary analyses indicate suboptimal healthcare experiences among individuals with poorly understood illness. Participants described diagnostic delays, lengthy wait periods and poor continuity of care throughout their journeys. The complexity of patients’ narratives was captured by the life-grid. Figure 1 provides a visual depiction of one participant’s patient journey. P R E L I M I N A R Y R E S U L T S P A R T I C I P A N T S Participants completed a timeline outlining any significant or meaningful life events they could remember and the year/age at which they occurred. What was life like at the time? (friends, family, work) What was your health like at the time? What were your healthcare experiences like at the time? Around the time of each event identified..... Participants were invited to tell their story during an in- depth interview (virtual or in person). Follow-up questions concerned participants’ health over their lifetimes, with a focus on symptom onset, help-seeking, diagnosis, treatment and specific healthcare experiences. Emerging information was added to the life-grid during the interview Figure 1. Visual depiction of the patient journey captured by the Life Grid interview. 12 participants (8 Female, 4 Male) Age: 21-62 (M age=40) Conditions reported: ME/CFS, CRPS, FND, Lyme disease, POTS, MCAS, hEDS, Fibromyalgia, Sjögren’s syndrome B A C K G R O U N D The Life-Grid is a visual tool which can be used for exploring the narratives of individuals with chronic il


Tracking manta rays We conducted 8 years (2013–2021) of monitoring to provide the most comprehensive description to date of a reef manta ray (Mobula alfredi) nursery Investigating Reef manta ray nursery in Wayag lagoon, Raja Ampat Edy Setyawan – Institute of Marine Science Cannot swim backwards Give birth to only 1 pup every 2-6 years Largest brain- to-body ratio of all fishes Live at least 50 years Size at birth: 1.5–1.9 m from wingtip to wingtip Have NO sting! Feed on zooplankton Males are smaller than females Keep swimming to breathe QUICK FACTS! Satellite telemetry (2015 & 2017) Aerial survey (including drone photogrammetry) Boat surveys Underwater surveys Passive acoustic telemetry (May 2019–Sept 2021) VR2W acoustic receiver stations (n = 5) Acoustic transmitters (n = 9) Satellite transmitters equipped with GPS (n = 5) Shelter from predators Social interaction & learning opportunity Sufficient food source Benefits of living in a nursery Cleaning stations like ‘spa’ A nursery is a good and safe environment contributing to higher chances of newborn survival! Palmyra Atoll Flower Garden Banks Florida Raja Ampat Nusa Penida The Maldives How to define a nursery for manta rays? See Criteria! Potential manta ray nurseries 1) are more commonly encountered in this area than in other areas 2) tend to remain and/or return to this area repeatedly for extended period** 3) inhabit the area across years As applied on manta rays, pups and juveniles: Criteria of an elasmobranch* nursery The ecology of newborn and juvenile manta rays is understudied Identifying critical habitats (i.e., nurseries) is urgently required to support conservation effort Most species of sharks and rays use shallow sheltered habitats like lagoons as nurseries for their newborns Residency and continuous occupancy of juveniles in the Wayag lagoon Home range and spatial movement pattern in and around the Wayag lagoon Application of drone to locate & measure manta rays, and collect their photo IDs Each manta ray has unique spot pattern on its underside, like our fingerprints Manta ray pups live independently without parental care immediately after birth Key references: Heupel et al 2007 Mar. Ecol. Prog. Ser. Heupel et al 2019 Mar. Freshw. Res. Setyawan et al 2020 J. Ocean. Sci. Found. Setyawan et al 2022 Drones Stevens 2016 PhD Dissertation, Uni. of York Contact: Edy Setyawan edy.setyawan@auckland.ac.nz CONCLUSIONS • We conclusively confirm that the Wayag lagoon in Raja Ampat serves as a nursery for newborn and juvenile reef manta rays • Our study presents the most robust assessment and comprehensive description to date of a manta nursery Satellite telemetry • Restricted movements within Wayag lagoon • Narrow core activity space within and around Wayag lagoon • Occasional brief excursions to areas outside of the lagoon up to ~45 km Application of photo ID to identify juvenile manta rays * cartilaginous fish (sharks, rays, and skates) ** best to be assessed using satellite and/or passive acoustic telemetry MAIN findings Manta sightings The estimated body size (disc width) of juveniles ranged from 150 to 240 cm (n = 34). Two juveniles sized 218 and 219 cm were measured using drone. unique IDs 34 47 Newborn and juveniles reef manta rays in Wayag lagoon in 2013–2021 encounters 27 resighting rate (%) 21 longest sighting span Lagoon Backyard Far Inner Lagoon Inner Lagoon Main Lagoon Entrance Front Entrance VR2W acoustic receiver stations Manta nurseries are RARE! It requires massive & long-term effort to identify a nursery area Wayag lagoon is protected within West Waigeo Marine Park A touristic destination with picturesque limestone karst islands Wayag is located the northwest of Raja Ampat archipelago zooplankton Global population decline due to fishing pressure Supported by: Long-term and high residency of juvenile manta rays within Wayag lagoon! months of near-continuous detections 14.5 119 days of consecutive detections 0 detection by receivers outside of Wayag in broa


Study of vertical abundance stratiﬁcation of elements in the stellar atmosphere of HD 63401 P. Kashko¹, V. Khalack² ¹Faculty of Physics, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine ²Département de Physique et d’Astronomie, Université de Moncton, Moncton, N.B., Canada E1A 3E9 Abstract Results Chemical abundance References HD63401 is one of the magnetic chemically peculiar (mCP) stars that were recently observed by the space telescope TESS. It may possess a hydro- dynamically stable stellar atmosphere where atomic diﬀusion in combination with a magnetic ﬁeld can lead to vertical stratiﬁcation of elements abundances. The modiﬁed ZEEMAN2 code was employed to carry out an abundance analysis of high-resolution and high signal-to-noise spectra obtained for HD63401 with ESPaDOnS. We found that only iron shows clear evidence of vertical abundance stratiﬁcation in the stellar atmosphere of HD63401. Seven high-resolution spectra were acquired with the spectropolarimeter ESPaDOnS for HD63401. To reduce the obtained data the software package Libre-ESpRIT (Donati et al., 1997) was used. The estimates of the eﬀective temperature and surface gravity are obtained from the best ﬁt of Balmer line proﬁles observed in Stokes I spectra by the theoretical proﬁles with the help of FITSB2 code (Napiwotzki et al., 2004). The derived values of Teﬀ=13360 K and log(g)=4.1 were used to calculate a model of the stellar atmosphere employing the code PHOENIX (Hauschildt et al. 1997), which is required to carry out abundance analysis with the help of ZEEMAN2 code (Landstreet, 1988). To select line proﬁles suitable for analysis we used an automatic procedure developed by Khalack (2018). Fig. 1 presents an example of the FeII 5100A line proﬁle ﬁtted by ZEEMAN2 code. Figure 2. The vertical stratiﬁcation of iron in the atmosphere of HD63401. The red line is the best line ﬁt derived using Levenberg-Marquardt algorithm Table 1. Average chemical abundance of HD63401 derived from the analysis of ESPaDOnS. We have done spectral analysis of seven available spectra of HD 63401, provided by ESPaDOnS . We derived the averaged chemical abundance of 30 elements. Our estimates are in good accordance with the results published by Bailey et al. (2014), except for Mg, Fe and Pr. Using the Levenberg-Marquardt algorithm ﬁtting algorithm (Marquardt 1963) to the results of analysis of all seven spectra we detected a vertical stratiﬁcation of iron abundance in stellar atmosphere of HD63401. Bagnulo S., Landstreet J. D., Mason E., et al., 2006, A&A 450 (2), p. 777-791 Bailey J. D., Landstreet J. D., Bagnulo S., 2014, A&A 561, p. A147 Donati J. F., Semel M., Carter B. D., et al., 1997, MNRAS 291, p. 658 Hubrig S., North P., Schöller M., et al., 2006, Astron. Nachr. 327, p. 289-297 Hauschildt P. H., Shore S. N., Schwarz G. J., et al., 1997, ApJ 490, p. 803 Grevesse, N., Scott, P., Asplund, M., et al., 2015, A&A 573, p. A27 Kashko P., Khalack V., Kobzar O., et al., 2020, PTA Proc. 2020, accepted (arXiv:2003.02925) Khalack V., 2018, MNRAS 477, p. 882 Kochukhov O., Bagnulo S., 2006, A&A 450, p. 763 Landstreet J. D., 1988, ApJ 326, p. 967 Marquardt D. W., 1963, SIAM Journal on Applied Mathematics 11, p. 431 Napiwotzki, R., et al., 2004, Astronomical Society of the Paciﬁc Conference Series 318, p. 402–410 Figure 1. The line proﬁle of FeII, ﬁtting by theoretical proﬁle using ZEEMAN2 code We found the phases of spectra using the rotational period P=2.414±0.018 d, derived by Kashko et al. (2020). To check if chemical abundances have vertical stratiﬁcation in the atmosphere of HD63401 we have ﬁtted the chemical abundance estimates at diﬀerent optical depths by a line (y = a*x + b) using the Levenberg-Marquardt algorithm (Marquardt, 1963). It uses the method of least squares to ﬁnd the best ﬁt. We used Python and function curve_ﬁt from library scipy (optimize) for the implementation of the algorithm. To select a signiﬁcant stratiﬁcation of chemical abundances throughout all elemen


The Monotransit Initiative S. ULMER-MOLL 1 , M. LENDL 1 , C. MORDASINI 2 , NGTS team, CORALIE team, TSTPC and WINE contributors 1. Department of Astronomy, University of Geneva, 51 chemin Pegasi, 1290 Sauverny 2. Physikalisches Institut, Universität Bern, Gesellschaftsstrasse 6, 3012 Bern INTRODUCTION Long-period transiting planets provide the opportunity to better understand the formation and evolution of planetary systems. Their atmospheric properties remain largely unaltered by the impact of the host star, and their orbital arrangement reflects a different, and less extreme, migrational history compared to close-in objects. The sample of long-period exoplanets with known radii is still limited, but a growing number of long-period objects reveal themselves through single transits in TESS data. CONCLUSIONS Warm Jupiters have quite long orbital periods compared to Hot- Jupiters but they are still located quite close to their host star. Do these planets form in-situ? Otherwise what are the mechanisms which drive their migration? Such questions are still in debate, thus increasing the sample of warm Jupiters with precise planetary mass and radius is crucial to better understand their formation process. We detected and charaterized four warm giant planets which orbit reasonably bright host stars making these objects valuable targets for follow-up studies of the planetary atmosphere. Summary of the characterized exoplanets: TIC 124029677b: a 20 day period planet with a planetary mass of 3 Jupiter masses and a low eccentricity of about 0.18. TIC 257527578b: a 54 day period planet with a planetary mass around 2.4 Jupiter masses and a high eccentricity of about 0.4 (Ulmer-Moll, in prep) TIC 206541859b, a Saturn mass planet on a 30 day orbit and a low eccentricity (Brahm in prep) TIC 4672985b, a 12 Jupiter masses object with an orbital period of 67 days on a circular orbit. RESULTS METHOD • Vet monotransit events flagged by differents pipelines: TOI, TSTPC, NGTS (Ref 1 & 2) • Select the best candidates • Schedule these candidates for spectroscopic vetting with high-resolution spectrograph CORALIE • Photometric follow up is set up with NGTS in blind survey mode (when single transit is detected) or alias chasing mode (when a set of period aliases can be defined) • Continue radial velocity monitoring once spectroscopic vetting is successful • Optimize observation strategy for candidates revealing significant radial velocity variations • Modeling of the radial velocities to confirm the orbital period of the transiting candidates (Ref 3) • Joint modeling with additional transit events (Ref 4) ACKNOWLEDGEMENTS This work has been carried out within the framework of the NCCR PlanetS supported by the Swiss National Science Foundation. AIM Detect and characterize cool giant transiting planets orbiting bright stars and interpreting their nature using planet formation and evolution models REFERENCES 1. Gill, S., et al. (2020) MNRAS, 491, 1548 2. Montalto, M., et al. (2020) MNRAS, 498, 1726 3. Faria, J. P., et al. (2018) "kima: Exoplanet detection in radial velocities", JOSS, 3, 487 4. Espinoza, N., D. Kossakowski, & R. Brahm (2019) MNRAS, 490, 2262 5. Bayliss, D., et al. (2020) "NGTS - Uncovering New Worlds with Ultra-Precise Photometry", Msngr, 181, 28 Spectroscopic vetting and radial velocity follow-up was performed with CORALIE. This star was also monitored by other spectrographs: FEROS and HARPS. The phase folded transit lightcurves and radial velocity data and corresponding models are shown in the two figures above. A mildy-irradiated but highly eccentric gas giant A single transit event was detected in the TESS Sector 4 data. No second transit was seen in the TESS extended mission, The star was monitored by the Next Generation Transit Survey (Ref 5) in blind survey mode (star is observed every possible night). A second transit was detected by NGTS about two years later after the first one. With an eccentric orbit (e~0.4), this system is rel


Study of Fe and Fe–based additives upon the sorption properties of the 2LiBH4 + MgH2 ↔2LiH + MgB2 + 4H2 reaction J.A. Puszkiel1,2, F. Karimi1, U. Vainio3, E. Welter3, F.C. Gennari2, P. Arneodo Larochette2, T. Klassen 1, J. Bellosta von Colbe1 and M. Dornheim1 1Institute of Materials Research, Helmholtz–Zentrum Geesthacht, Germany 2Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) and Centro Atómico Bariloche, Argentina 3HASYLAB at Deutsches Elektronen-Synchrotron, Germany Motivation Results and Discussion Conclusions E-mails julian.puszkiel@hzg.de; jpuszkiel@cab.cnea.gov.ar References [1] A.S. Pedersen, J. Kjoller, B. Larsen, B. Vigeholm, Int. J. Hydrogen Energy, 8 (3), 205, 1983. [2] J.J. Vajo, S.L. Skeith, F. Mertens, J. Phys. Chem. B, 109, 3719, 2005. [3] N. Ohba; K. Miwa; M. Aoki; T. Noritake; S. Towata; Y. Nakamori; S. Orimo; A. Züttel, Phys. ReV. B, 74, 075110, 2006. [4] Ph. Mauron; F. Buchter; O. Friedrichs; A. Remhof; M. Bielmann; C.N. Zwicky; A. Züttel, J. Phys. Chem. B 2008, 112, 906, 2008. [5] P. Debye et al., J. Appl. Phys., 28, 679, 1957. Due to the beneficial catalytic effect of the Fe and Fe-based additives upon the kinetics of MgH2 and their low cost, they were added to the 2LiBH4 + MgH2 reactive hydride composite (RHC) in order to improve the operative condition at which the RHC uptakes/releases hydrogen. Suitable thermodynamic stability ΔH = 40.5 kJ/mol H2 Tdesorption = 225 ºC at 1 bar High capacity 11.45 wt.% H Sorption kinetic constraints - High Tdesorption > 390 ºC - Two steps desorption kinetic XAFS ASAXS VOLUMETRIC MEASUREMENTS + XRD results show that after milling irreversible phases such as LiCl and LiF are formed. + XANES measurements confirm that the oxidation state of Fe after milling is zero, suggesting that Fe, FeB or/and Fe2B can be present in the as-milled materials. + The of Fe is not persistent upon cycling due to the formation of FeB upon desorption and/or large Fe-based nanoparticles with typical lengths of 10 – 17 nm. The correlation lenghts (ξβ) of the Fe rich phase are between 10 – 17 nm. Random two phase model assumption: Debye–Bueche model [5]. The addition of Fe improves the absorption/desorption times during the first cycle. Irreversible phases such as LiF and LiCl are formed during milling. For all the as-milled material, the oxidation state of Fe is zero. After desorption at 400 ºC and 5.5 bar, FeB was clearly detected. XRD ξα ξβ Hydride phase Fe rich phase ) ( ) , ( ) , ( ) , ( q I E q I E q I E q I M M M Fe Fe Fe       C Bq a q a N r q I A e        2 2 2 2 2 3 2 2 ) 1( 8 ) (     / 1 / 1 / 1   a ) 1 /(      a Helmholtz-Zentrum Geesthacht • Max-Planck-Straße 1 • 21502 Geesthacht • Phone +49 (0)4152 87-0 • Fax +49 (0)4152 87-1403 • www.hzg.dehydrogen.hzg.de Acknowledgements 0 1 2 3 4 5 6 FeB Fe2B Fe 2LiH+MgB2+0.1Fe-Iso 2LiH+MgB2+0.1FeCl3 2LiH+MgB2+0.1FeF3 2LiH+MgB2+0.1Fe  (R).k2 R (Å) RHC after Desorption 0.1 Fe 0.1 Fe-Iso 0.1 FeCl3 0.1 FeF3 As-milled 9.0  0.1 nm 12.4  0.1 nm 14.6  0.3 nm 17.1  0.4 nm First absorption 15.1  0.2 nm 10.3  0.1 nm 11.9  0.1 nm 15.4  0.1 nm First desorption 11.9  0.1 nm 12.3  0.2 nm 14.4  0.2 nm 17.6  1.1 nm 0 2 4 6 8 10 Theoretical capacity 2LiH + MgB2  2LiBH4 + MgH2 wt. % H First absorption at 350 ºC and 50 bar 0 5 10 15 20 10 8 6 4 2 0 2LiBH4 + MgH2 2LiH + MgB2 wt. % H Time (h) First desorption at 400 ºC and 5.5 bar 7100 7120 7140 7160 7180 7200 E (eV) Normalized absorption (a.u.) FeB Fe 2LiH+MgB2+0.1Fe-Iso Fe-Iso 2LiH+MgB2+0.1FeCl3 FeCl3 2LiH+MgB2+0.1FeF3 FeF3 2LiH+MgB2+0.1Fe 7112 eV RHC after MM 0 2 4 6 8 10 Time (h) 2LiH+MgB2+0.05FeCl3 2LiH+MgB2+0.025Fe-Iso Theoretical capacity (wt%) wt. % H 2LiH+MgB2 2LiH+MgB2+0.05Fe wt. % H First absorption at 350 ºC and 50 bar 0 1 2 3 4 5 6 7 0 2 4 6 8 10 Second absorption at 350 ºC and 50 bar 10 8 6 4 2 0 Theoretical capacity (wt%) First desorption at 400 ºC and 5.5 bar 0 5 10 15 20 10 8 6 4 2 0 wt. % H wt. % H Time (h) Second desorption at 400 ºC an


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862357 Integrating crops and livestock: good for the sheep, good for the farmer, good for the soil? Introduction There is increased interest in revisiting the historical practice of grazing winter sown cereals to provide additional grazing during winter and early spring when grass forage is limited. Can integrating grazing livestock and arable farms have also have positive impacts on crop and soil parameters? Such integration may provide a win-win for farmer and environment providing feed and marketable crops as well as reducing synthetic inputs and improving soil health. Trials were carried out at SRUC Craibstone in Aberdeen and several other farms across Scotland testing the effect of grazing intensity on crop yield and soil health. Methods Replicated plot grazing experiments similar to those shown in Figure 1 and Figures 2 & 3. Three replicates of four grazing treatments - ‘no grazing’ and grazing for one, two and three days. Forage biomass and feeding value were assessed every few weeks from November until early May (Table 1). Tillering, disease and weed pressure assessed during the season as well as Visual Evaluation of Soil Structure (VESS) and earthworm counts after harvest. At harvest, plots were combined and measurements of yield, straw yield and 1000 grain weight were taken. Engagement with farmers held throughout the project Conclusion Winter cereals appear very resilient to being grazed - recover well with no significant impact on yield or other agronomic / crop quality - be aware of potential damage to growing points. Evidence of potential legacy effect by increasing earthworm abundance No negative effect to soil structure observed Can be “mob” grazed or more extensively grazed like many of the Network farmers. Evidence of reduced disease levels with potential scope to reduce fungicide sprays on some Network farms. Network farmers reporting reduced seed rates and N fertilizer when grazing their winter cereals Winter cereals have a very good feed value profile Figure 3 – Example of plot design showing grazed and ungrazed plots on the left. On the right is the same site but mid-season showing no visual difference in crop Sheep trampling and poaching may have been expected to have a negative impact on soil structure leading to the grazed crops being trampled into the soil, however, grazing caused no negative impact on soil structure as measure by VESS. Figure 4 – Yield data from three sites across three years for wheat (brown) and barley (beige) Luke Harrold, Niamh Barry, Kairsty Topp, Zach Reilly, David Ross, Christine Watson & Robin Walker Figure 2 – Farmer engagement at Craibstone plots as well as Network Farm Results Despite being grazed to bare soil the crops recovered well and there was no significant difference in yield (Figures 3 & 4) Grazing significantly increased juvenile earthworms abundance at sites which looked at grazed vs ungrazed (p < 0.01) (Fig 5 A-J) Timing of grazing important (Fig 5K) as yield increased from early to late grazing but all were lower than ungrazed at this site. Both early and late grazing improved yield at site L. Figure 5 – Counts of juvenile earthworms at participating farms under different grazing management Figure 1 – Plot layout showing transition area and grazing plots


Space Weather Monitoring at the Rosse Solar-Terrestrial Observatory Peter Gallagher, Eoin Carley, Pietro Zucca, Joseph McCauley, Diana Morosan, Sean Blake School of Physics, Trinity College Dublin, Ireland Alan Jones, Colin Hogg School of Cosmic Physics, Dublin Institute for Advanced Studies, Ireland ! The Rosse Solar-Terrestrial Observatory (RSTO) was established at Birr Castle in the midlands of Ireland to study solar activity and space weather effects on the Earth's ionosphere and geomagnetic field. A set of solar radio spectrometers based on CALLISTO receivers monitor the Sun at 10-400 MHz, while a magnetometer is used to measure the local geomagnetic field and associated K-index. In addition, the ionosphere is monitored using a sudden ionospheric disturbance instrument. All data are provided in near-realtime at www.rosseobservatory.ie. X-rays associated with solar flares can disturb the Earth’s ionosphere and interrupt radio-based communications systems across the day side of the Earth. The RSTO sudden ionospheric disturbance instrument is used to m o n i t o r v e r y l o w frequency (VLF) signals. The ionosphere reacts rapidly to radiation from solar flares and can take hours to recover. Solar radio bursts can cause interruptions in communications systems on Earth. At RSTO, solar radio bursts are monitored using CALLISTO spectrometers at 10-400 MHz (Zucca et al, Solar Physics, 2012). ! A bicone and a LOFAR Low Band Antenna array observe the Sun at 10-100 MHz while a log-periodic operates at 100-400 MHz. The frequency band is covered by 1,800 channels, sampling at 250 ms per sweep. ! The system is optimised to measure dynamic spectra of Type II radio bursts produced by coronal shocks, and Type III radio bursts produced by near-relativistic electrons streaming along open magnetic field lines. ! Solar Radio Bursts Ionospheric Distrubances The Future of RSTO RSTO is part of an international effort to study the physics of space weather, and monitor the effects of the Sun on the Earth. We are now exploring joining a number of networks, such as LOFAR and SuperDARN, which w o u l d e n a b l e u s t o m o r e accurately monitor the causes and consequences of space weather. I-LOFAR www.lofar.ie Geomagnetic Storms Geomagnetic storms can be produced by the coronal mass ejections and changes in the interplanetary magnetic field. ! A magnetometer at RSTO measures the geomagnetic field which is used to derive a local K-index in near-realtime.


Abstract M. Tsantaki1, D. Andreasen2 1Osservatorio Astrofisico di Arcetri – INAF, 2Instituto de Astrofísica e Ciências do Espaço Methodology We knowledge the funding from MIUR Premiale 2016: MITIC The synthetic spectra are created on-the-fly and are convolved with: 1) macroturbulence, 2) projected rotational velocity, 3) instrumental broadening to match the observations. Models atmospheres: Kurucz (Kurucz 1993) & MARCS models (Gustafsson et al 2008). Line lists: Tsantaki et al. (2018) for stellar parameters and Adibekyan et al. (2015) and Delgado Mena et al. (2015) for the chemical abundances. Spectral manipulation: local normalization and filters for cosmic rays The line list Li abundances The atomic data of the line list is calibrated based on the Solar & Arcturus Atlases. Comparison of synthetic spectrum with VALD3 data (green line), synthetic spectrum after the calibration of the atomic data (red line) and the Atlases (black line) (see Tsantaki et al. 2018). An example of the fit of the lithium line for a giant star from our recent work on Li abundances in open clusters. The synthetic fit is in green and the observations in black. Acknowledgements References Resutls FASMA has been used in the following works: - characterization of planet hosts for the Ariel mission Brucalassi et al. 2021 - characterization of high and medium resolution samples Tsantaki et al. 2018 - derivation of Li abundances for giant stars in open clusters (Tsantaki et al. 2021 in prep.) FASMA: a package for stellar parameters and chemical abundances Code description: Tsantaki et al. 2020 https://github.com/MariaTsantaki/FASMA-synthesis Science validation: Tsantaki et al. 2018 FASMA delivers the atmospheric stellar parameters: effective temperature, surface gravity, metallicity, microturbulence, macroturbulence, and rotational velocity based on the spectral synthesis technique. The principle of the technique relies on the comparison of synthetic spectra with observations to yield the best- fit parameters under a χ2 minimization. FASMA also delivers chemical abundances of 13 elements (Li, Na, Mg, Al, Si, Ca, Sc, Ti, V, Cr, Mn, and Ni). The python code is wrapped around the spectral synthesis package: MOOG version 2019 (Sneden et al. 1973) in a very user-friendly way.


Variable Star Science with Community Brokers: Overview and goals Nina Hernitschek (CITEVA, Universidad de Antofagasta; Rubin LSST Transients and Variable Stars Science Collaboration) Community Alert Brokers How LSST can help Variable Stars software systems to provide, characterize and classify big data to enable science change in luminosity few parts per million factor 1000 temporal baseline seconds centuries signal shape periodic aperiodic/ random Periodic Variable Stars: RR Lyrae, Cepheids ►measure apparent mean brightness m ►measure period P ►using period-luminosity relation, get absolute brightness M ►solve distance modulus equation: log d [parsec]= (m−M+5) /5 period (days) absolute magnitude -7 -6 -5 -4 -3 -2 -1 0 1 0.3 1 3 10 30 100 RR Lyrae Type II Cepheids Type I (classical) Cepheids Rubin Observatory's real-time difference image analysis will produce a world-public stream of alerts which will be distributed to community brokers. The Importance of Long-Time Monitoring accurate, up-to-date information (and not from data taken years ago) necessary to dynamically characterize substructure in the outer Galactic halo periodic variable stars allow for distance calculation: Their period is directly related to their true brightness. variability important for velocity calculation: vobs = vsystemic + vphotospheric from pulsation models: observe at φ = 0.37 where vphotospheric ∼0 crucial: accurate light curve information What are variable stars? A star is a variable star if we can measure its brightness changing over time. Variable stars differ regarding how those brightness changes are caused by events inside, on the surface of, or around that star. Why are variable stars important? variations provide unique information about the nature and evolution of stars and the galaxies that host them and our universe in general period-amplitude modulations (Blazhko effect) must be taken into account to correctly determine distances and velocities allow us for creating 3D maps of structures in our Milky Way typical use cases from complex data: ►immediate follow-up (e.g.: supernova, multi-messenger astronomy) ►“unknown unknowns” ►known rare “1-in-a-million” events possible with LSST: large footprint high cadence depth 10 years + ´+ + ´ LSST: ~400 kpc PS1 3π: ~120 kpc 10 kpc limit of SDSS studies for kinematics and [Fe/H] Point of Interest Broker (POI) The idea: An alert broker to enable users to get updates on variable star observations within interesting regions. predefined stellar streams, dwarf galaxies and globular clusters (frequently updated) user-defined The Implementation POI is a downstream broker of ANTARES. ►store feature history ►more specific classification ►amplitude-period-phase modulation (Blazhko effect) ►watch for modulation ►specific “Points of Interest” ►specific calculations for follow-up: phase/time from model


The work involves the use of optical resonating cavity used for light analyte interaction which is based on a coupled ring resonator geometery. The procedure is to sense the presence of a chemical and to covert the presence of chemical/biochemical analyte into a measurable optical signal. Introduction • Optical sensors fundamentally require interaction between light and target molecules. • Increased interaction result in increased sensitivity. • In a waveguide or optical sensor light interacts with target molecule only once. In a resonator, light circulates in resonator multiple times. • Ring resonators finds application as a chemical sensor for variety of applications like biochemical assays, sample preparation, genomics ,drug development and investigation, food safety and environmental monitoring. • Various chemical sensors based on ring resonating cavity had different operational geometries solely dependent on the fabrication method. Simulation • Parameters considered in simulation : Waveguide width, height, thickness, radius and coupling length to be constant. • Coupling Gap is variable. • Top clad changed from a solution to water (optimization analysis). • Method : Wavelength Scanning. • 50000 test points. • Results discussed : resonance spectrum, mainly drop port. • Optimized Geometry. Results Experimental Setup Remarks • Light Source : Collimation, Beam width and Spot Size • Test Setup : Detection, Microscope, 3 dimensional motion controllers, Spectrometer, power meter, microscope. • The detection methodology is to detect the resonance wavelength which can be identified by intensity measurement at resonant wavelength picked up at drop port. Optical Characterization Of A Polymer Ring- Resonator Used For Environmental Monitoring Of Chemical Pollutants Zain Hayat, Farida Meziane, Simon Joly, Vincent Raimbault, Laurent Bechou Laboratory Material Integration System (IMS) University of Bordeaux France


The Stellar and Observational Properties of the TESS Prime Mission 2-min Targets Joshua Pepper1, Thomas Barclay2,3, Luke G. Bouma4, Christopher J. Burke5, Michael Fausnaugh5, B. Scott Gaudi6, Ryan J. Oelkers7,8, Keivan G. Stassun8,9, Joshua N. Winn4 1 Lehigh University, 2 NASA Goddard Space Flight Center, 3 University of Maryland, Baltimore County, 4 Princeton University, 5 Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 6 The Ohio State University, 7 Texas A&M University, 8 Vanderbilt University, 9 Fisk University See upcoming paper from Fausnaugh, et al. The K-dwarf valley Photometric precision across the main sequence TESS Observing Duration Properties for all Targets 153,000 stars observed for one sector 9,000 stars observed for >260d, but only 3,900 observed continuously References: • Stassun, et al. 2018 “The TESS Input Catalog and Candidate Target List“ AJ, 156, 102 • Stassun, et al. 2019 “The Revised TESS Input Catalog and Candidate Target List“ AJ, 158, 138 Figure 3: Since photometric precision is generally a monotonic function of apparent brightness, early-type stars being more luminous have more precise light curves. Although the TESS target selection process prioritized smaller stars at a given apparent brightness, late-type dwarfs are substantially fainter, yielding light curves with lower precision. Figure 2: Stars are prioritized for transit observations according to their sensitivity to the smallest detectable transits. That depends on their brightness and size. F and G dwarfs dominate that set due to their brightness, while M dwarfs are also included due to their small size. Once the closest F and G dwarfs are included, M dwarfs (being more common) occupy the next batch of targets. K dwarfs suffer in this metric due to being too faint for good photometric precision compared to F and G dwarfs, but too big to yield deep transits compared to M dwarfs. Figure 1: TESS observed 232,705 stars with 2-min cadence in the prime mission. The stars were selected for a number of science purposes, with the largest batch coming from the exoCTL, which prioritized stars based on their suitability for small planet transit detection and the length of time TESS observes them. Stars closer to the continuous viewing zones thus have higher priority. But the mission requires a certain number of target stars in each camera and CCD. Therefore the stars observed at mid-latitudes have different population characteristics than those at high latitudes, as shown in Fig 2 above. Figure 4: Most stars (abut 153,000 out of 233,000) were observed for just a single sector in the prime mission. But just because a star is in or near the continuous viewing zone, they are not necessarily observed during every sector, due to gaps between cameras or detectors. Only 3,900 stars were observed in 13 consecutive sectors. All data described in this poster will be distributed as machine- readable tables in an upcoming paper.


OPeNDAP’s Server4 Building a High Performance Data Server for the DAP Using Existing Software Software Reuse The essential f eatures of Serv er4 are: Two process design can be adapted to a v ariety of dif f erent conf igurations The serv er supports sev eral dif f erent application protocols f or dif f erent ty pes of inf ormation Formal communication between the processes (to be published soon) will enable other groups to write their own f ront-ends In 1993 the Univ ersity of Rhode Island began a NASA-f unded ef f ort to dev elop a data sy stem f or ocean data that would take adv antage of the Internet. Out of that ef f ort, the Data Access Protocol, a serv er implementing the protocol and sev eral compatible client applications were dev eloped. The data serv er was based on the Common Gateway Interf ace (CGI) used f or many web-based interf aces, largely because of the simplicity of those ty pes of sy stems. As the use of the serv er spread, its limitations became more apparent. At the same time, other issues with the data sy stem became apparent and new work was started to address those issues (such as metadata non- unif ormity , searching dif f iculty and collection organization). Serv er4 is one aspect of that work. Its goals are to make it easier to solv e these problems and to reuse as much of our (and others’) existing DAP-compliant sof tware as possible. Sof tware reuse is an important part of the Serv er4 ef f ort. Since the start of work on the DAP, signif icant ef f ort has been made dev eloping DAP-compliant serv er sof tware (client sof tware too, although that is not the f ocus of this poster) and to make a new serv er we needed to use as much of that work (and knowledge) as possible. In the OLFS, the THREDDS implementation is 100% f rom the Unidata THREDDS library . Other elements were written new f or this project. In the BES, the f ramework itself is an extended v ersion of the Earth Sy stem Grid II data serv er dev eloped by NCAR/ESSL/HAO. It represents about 70% reuse. The BES Format Modules are about 5% new sof tware with the remaining 95% reused f rom the Serv er3 ‘Data Handlers’ (in f act the source code distributions f or the f ormat modules still build the Serv er data handlers too). The PPT modules used by both the BES and OLFS are inherited f rom the ESG II project OLFS Java Servlet Engine BES Unix Daemon BES Commands XML- encapsulated object Data files, Database, … DAP2 THREDDS HTML Optional THREDDS catalogs Server4 Supports several protocols and a high level of reuse using a two process architecture


Prof. Dr. techn. Günter Scheffknecht Institute of Combustion and Power Plant Technology (IFK) Pfaffenwaldring 23, 70569 Stuttgart, Germany www.ifk.uni-stuttgart.de Study area With 12.7 million passengers (2019) and around 400 flights per day, Stuttgart airport is the 6th largest airport in Germany. The investigations were carried out in three phases in 2020. The measuring locations were on both sides of the airport, at different distances in a direct extension of the runway. The results presented here focus on locations west of the runway at 1 km (Point 2) and 2 km (Point 1) from the start of the runway. The planes were approaching from the west with easterly winds. In addition, measurements were carried out on a bridge over the busy federal highway B27. Contribution of Airplane Engine Emissions on the Local Air Quality around Stuttgart Airport during and after COVID-19 Lockdown Measures Aim of the study Previous airport studies conducted in Los Angeles, Amsterdam and other cities have shown that aircraft can significantly increase air pollutant concentrations around the airport and can be measured even at distances of several kilometers. Since the results cannot be directly transferred from one city to another and no comparable measurements were carried out at Stuttgart airport, the aim of the study was to investigate whether increased air pollution levels can be measured at the airport fence and in the immediate vicinity of the airport in Stuttgart. Since there are busy roads in the immediate vicinity of the airport (e.g. A8, B27), it should also be investigated whether the exhaust gas plumes from road traffic and air traffic can be distinguished. Methodology The vehicle platform, a Renault Twizy, was equipped with the following measurement technology. The runway at Stuttgart airport was renovated at the beginning of the COVID-19 pandemic in April 2020. The airport was therefore closed (Measurement phase I - mid April 2020). The airport was then reopened but due to the COVID-19 lockdown measures, very few flights took place (Measurement phase II - early to mid June 2022). More flights took place during the 2020 summer holidays, but still the number of flights were around 50% fewer than before the COVID-19 pandemic (Measurement phase III - mid August to mid September 2020). Conclusions Landing planes produced increased concentrations of very fine particles. The mean diameter of the measured particles drops to very low values of 10 to 20 nm. Peaks were easily measurable even at a distance of 2 km. Road traffic emissions also produced UFP, but with slightly larger diameters. Hence, UFP can be distinguished from road and air traffic. Outlook Mobile measurements should be carried out in adjacent residential areas, also at a greater distance from the airport. Mobile measurements in combination with long-term measurements should provide information about the exposure of the population to high pollutant concentrations in the vicinity of the airport. More information regarding this research can be found in the following publication: Samad, A.; Arango, K.; Chourdakis, I.; Vogt, U. Contribution of Airplane Engine Emissions on the Local Air Quality Around Stuttgart Airport During and After COVID-19 Lockdown Measures. Atmosphere 2022, 13, 2062. DOI: https://doi.org/10.3390/atmos13122062 Contact: M.Sc. Abdul Samad – abdul.samad@ifk.uni-stuttgart.de Department of Flue Gas Cleaning and Air Quality Control (RuL) Results Measurement phase I - no air traffic: The PNC concentrations were at a low level with values < 10,000 particles/cm³, the mean particle diameter Dp at > 40 nm. Measurement phase II – less air traffic: Individual peaks from landing aircraft could be recorded. PNC concentrations were > 10,000 particles/cm³ at recorded aircraft peaks. Measurement phase III – substantial air traffic: Many UFP peaks from landing aircraft could be recorded. They generated PNC peaks of up to 300,000 particles/cm³. During the PNC peaks, the average pa


PRESERVING DATA TREASURES Akansha Rawat, Dr. Dr. Jörg Hoffmann, Dr. Tanja Rottstock Institute for Strategies and Technology Assessment, Julius Kühn Institut Role of JKI Provides data for long term research in the field of plant cultivation, genetics, soil science, plant breeding and protection. German long term field trials on JKI experimental stations. On farm investigations of cultivated plants, useful insects, animal and bird species. Our Objective We aim to secure existing data from a completed project. In a long-term study over a period of 30 years, agricultural use and biodiversity in arable landscapes were recorded and analysed. Recommendations for agriculture, nature conservation and biodiversity monitoring were derived from this. Reference: Hoffmann, J. (2023). Biodiversität im Zeitvergleich. Strukturelemente und Nutzungen räumlich identischer Ackerbaugebiete 1991-1993 und 2018-2021. Auswirkungen auf die Biodiversität. Berichte aus dem Julius Kühn-Institut 224: 940 S. We plan to ensure the visibility, accessibility and future use of the long term biodiversity data sets of e.g. plants, insects, and bird species in agricultural landscapes. Establishing the workflow For our use case, we establish a workflow using the comprehensive, existing data on landscape structures, flora, cultivated plants, birds and butterfly species from BioZeit (1991-1993, 2018-2021): Biodiversität im Zeitvergleich (Hoffmann 2023) and harmonize the structure of datasets according to the FAIR data principles accompanied with a richly described metadata based on ABCD metadata schema. To effectively manage the data, an instance of BEXIS2 software has been set up at JKI. This step will provide a good basis for standardizing, reusing and integrating the datasets. Using the available data in BioZeit new refined data structures will be developed along with the metadata which will be migrated to BEXIS2 as a starting point towards the long term archiving of this data. Overall Aim In order to ensure the use of valuable, comprehensive data sets, we plan to publish and archive the data through relevant repositories (for eg., GBIF, Pangaea), ensuring its preservation, visibility and availability for current and future research. We welcome your suggestions and collaboration: Akansha.Rawat@julius-kuehn.de Source: Dahnsdorf Experimental Station, JKI archive Source: Icons https://www.carbondesignsystem.co m/guidelines/icons/library/ Source:BEXIS2,Uni Jena, https://bexis2.uni-jena.de Scan the code to know more about the project BioZeit


Design Image Interactive resource Other Sound Musical Notation resource types Practice made Practical. Reducing the OTHER of non-text Adam Vials Moore (Jisc), Jenny Evans (University of Westminster), Rachael Kotarski (British Library), Taylor Mudd (Cayuse) Discoverability Landscape: Where does non-text / practice research fit? ‘other’ or select the ‘best fit’ Persistent Identifiers Metadata standards Discoverability Practice Research • cross disciplinary • documents process • PRAG-UK report recommends a project item type Non-text outputs as such needs a community of practice to agree on what the form is so that this can be mapped to the discoverability landscape • intersectional - crosses multiple communities and goes beyond universities - is relevant to galleries, libraries, museums and archives • may have multilple pages, files, permissions, rights, contextual images, access levels, may be dynamic Harvests PDF only, uses rioxx, OpenAIRE Indexes text only, PDFs less than 5MG, one file per article Search Engine Optimisation (SEO) mobile optimised design, semantic mark-up, include keywords in item URL, canonical links Disciplines that share research with primarily non-textual outputs do not benefit from a scholarly communications landscape that is focussed on the discovery, access and inquiry of STEM textual articles and data. Bringing together experts into a community of practice, such as repositories that have built taxonomies to address non-text outputs, we propose building on the persistent identifier and metadata vocabularies that underpin global infrastructure. Enabling richer, more descriptive work types, allowing better discoverability, and bringing a future where all research is equally valued. Audiovisual Collection Event Image InteractiveResource Model PhysicalObject Sound Other ResourceTypes Other Project item type recommended by Bulley-Salin Other also used by CRediT - Contributer Roles Taxonomy


‘Storyboarding’ in the classroom Malizukiswe V. Vacu1, Craig Ehrenreich1, Nelisiwe Chonco1, Grace Aguti2, Xiangcong A. Luo3, Bianke Loedolff1† 1Faculty of AgriSciences, Stellenbosch University; 2Earth University; 3Faculty of Arts & Social Sciences, Stellenbosch University Professional Educational Development of Academics (PREDAC) 2019 vs. https://www.storyboardthat.com/https://wordsearchlabs.com/view/108017 1 2 3 4 5 Storyboarding es una herramienta visual de aprendizaje, cooperativa y narrativa que podría beneficiar a los alumnos de todas las disciplinas en las estructuras educativas. Esta pantalla visual permite a los alumnos ver las interrelaciones entre los conceptos centrales descritos en un marco de módulos. Tanto el experto como los alumnos participan en este proceso de Storyboarding a través de una discusión continua en el aula. Los conceptos e ideas se muestran en forma visual clara en un storyboard y por lo general, pueden incluir (i) una revisión del tema e introducción a conceptos avanzados dentro del tema, (ii) objetivos de aprendizaje, (iii) tiempo de preparación dentro y fuera de la clase para estudiantes, (iv) limitaciones de aprendizaje y (v) comprensión de contenido de aprendizaje complejo. Luego, los alumnos tienen el desafío inverso de encontrar conceptos básicos dentro de un rompecabezas de palabras, identificar los vínculos entre las palabras y desarrollar una pregunta desafiante dentro de su contexto. Storyboarding en clase presenta a los alumnos la oportunidad de desarrollar habilidades de pensamiento crítico, creativo y proporciona una plataforma de aprendizaje interactiva para aplicar y contextualizar los objetivos de aprendizaje. †Correspondence: bianke@sun.ac.za


Abstract Low-light image enhancement has been very popular for improving the visual quality of image representations, while low-light images often require advanced techniques to improve the perception of information for a human viewer. One of the main objectives in increasing the lighting conditions is to retain patterns, texture, and style with minimal deviations from the considered image. To this direction, we propose a low-light image enhancement method with Haar wavelet-based pooling to preserve texture regions and increase their quality Low-light image enhancement based on U-Net and Haar wavelet Elissavet Batziou1,2, Konstantinos Ioannidis1, Ioannis Patras2, Stefanos Vrochidis1, Ioannis Kompatsiaris1 1Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece {batziou.el,kioannid,stefanos,ikom}@iti.gr 2School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road London E1 4NS {e.batziou,ipatras}@qmul.ac.uk Introduction Image acquisition in low-lighting conditions is challenging to be improved when low brightness, low contrast, a narrow gray range, color distortion and severe noise exists, and no other sensor is involved as for example multiple cameras of different specifications. Challenges: • maximize the information involved from the input image on the available patterns • extract the colour information that is hidden behind the low values of luminance. Contribution of our work: • Photorealistic style transfer for under-exposed image enhancement. Feature aggregation combines features of different scales to reach an improved image reconstruction through photorealistic style transfer to achieve a natural stylization effect. • A modified U-Net based architecture is proposed that involves dense blocks and wavelet pooling layers. • Encoding using low frequency (LL) component and unpooling using high frequency components (LH, HL, HH). Haar wavelet decomposes the original signal into channels that capture different components, which leads to better image enhancement. Methodology A modified U-Net-based network is combined with wavelet transformations and Adaptive Instance Normalization (AdaIN). The proposed network is comprised by the following three sub-components: encoder, enhancer and decoder. Results (cont.) Conclusion and Future work • A photorealistic style transfer approach is adapted and modified to low-light image enhancement. • The method is based on a U-net architecture using dense blocks and three main modules, namely encoder, enhancer and decoder. • The encoder and enhancer include a Haar wavelet based pooling layer. • Experiments in two datasets compared the proposed method with recent works in image enhancement, showing that the proposed approach achieves SoA with less computational resources in training and testing processes. • Future modifications will focus on evaluating further the impact of the wavelet incorporation and their deployment in other levels of the architecture. Acknowledgements This work was partially supported by the European Commission under contracts H2020-952133 xR4DRAMA and H2020-958161 ASHVIN. Decoder: mirrors the encoder structure (yellow box) with four upsampling blocks. Each block consists of: • an upsampling layer • three convolutional layers • a concatenation operation that receives the corresponding encoder feature coming from the enhancer module. Enhancer: passes multi-scale features from the encoder to the decoder (purple box). Feature aggregation allows the network to incorporate spatial information from various scales and keep the detailed information of the input image. Encoder: has convolutional layers and downsampling dense blocks (blue box). Downsampling dense blocks contain: • a Haar wavelet-based pooling layer • a dense block (three densely connected conv. layers) • two convolutional layers Datasets LOL dataset has 500 image pairs: • 485 pairs randomly selected for training • 15 pairs for testi


Boys and girls in the Bronze Age Europe: burial practices at the Mokrin necropolis (2100-1800 BC) Marija Krečković Gavrilović1, Mina Amzirkov1, Marko Porčić1, Katharina Rebay-Salisbury2, Fabian Kanz3, Michel Wolf4, Lidija Milašinović5 & Sofija Stefanović1 1 Laboratory of Bioarchaeology, Department of Archaeology, Faculty of Philosophy, University of Belgrade, Serbia 2 Department of Prehistoric and Historical Archaeology, University of Vienna, Austria and Austrian Archaeological Institute, Austrian Academy of Sciences, Vienna, Austria 3 Unit of Forensic Anthropology, Medical University of Vienna, Austria 4 Department of Analytical Chemistry, University of Vienna, Austria 5 National Museum Kikinda, Serbia Introduction Methods & Materials Fig. 1 – Location of the Maros culture necropolis Mokrin (2100 – 1800 BC), situated in Northern Serbia *Corresponding author: Marija Krečković Gavrilović marija.kreckovic@f.bg.ac.rs | Laboratory for Bioarchaeology | Department of Archaeology | Faculty of Philosophy | University of Belgrade Since the presence of animal bones in graves seems to represent a different dimension of variability, which is not related to sex, we decided to repeat the analysis excluding animal bones as a type of grave goods. This left us with a sample of 154 individuals (86 women and 68 men). In the repeated correspondence analysis, the first two dimensions explain 32% of the total variance. The Axis 1 (18% of total inertia) is the one separating the graves by sex (Fig. 3). In both Fig. 2 and Fig. 3 it is evident that some grave goods (like bone and metal needles, hair rings and bracelets) are almost exclusively found in the graves of women. For the subadult individuals, the first two dimensions of the correspondence analysis explain 39% of the total variance (Fig. 4), with Axis 2 (17.1% of total inertia) differentiating types of grave goods by sex. The only grave goods that seem to be specific to burials of girls, are bone needles and necklaces. As with adults, there are some weak statistically significant differences in types of grave goods, but other variables should be considered alongside sex/gender. For the adult individuals, the first two dimensions of the correspondence analysis explain 33% of the total variance (Fig. 2). Interestingly, Axis 1 is separating those graves that had animal bones from all the rest, while Axis 2 differentiates graves by sex. On the other hand, grave goods marked as typically male (like weapons), are found more often in the graves of women, than typically female grave goods are to be found in male burials. Results & Discussion Fig. 5 Grave 287 from Mokrin necropolis. Burial of an adult women in typical courched position, oriented South-North, on her left side. Photo documentation courtesy of National museum in Kikinda This research was supported by the Science Fund of the Republic of Serbia, Grant #6683 INFANO Girls and Boys in the Bronze Age Europe: Influence of biological sex on health, growth, nutrition and social position 2100-1500 BC. Conclusion References Buikstra, Jane E., and Douglas H. Ubelaker. 1994. Standards for Data Collection from Human Skeletal Remains. Arkansas Archeological Survey Research Series, no. 44. Fayetteville, AR: Arkansas Archeological Survey. Stewart, Nicolas Andre, Raquel Fernanda Gerlach, Rebecca L. Gowland, Kurt J. Gron, and Janet Montgomery. 2017. Sex determination of human remains from peptides in tooth enamel. Proceedings of the National Academy of Sciences, 114: 13649–54. https://doi.org/10.1073/pnas. Žegarac, et. Al. 2021. "Ancient Genomes Provide Insights into Family Structure and the Heredity of Social Status in the Early Bronze Age of Southeastern Europe." Scientific Reports 11 (1). Research on the role of children in prehistoric societies, particularly concerning the impact of biological sex on their growth, development, and social status, is limited. This gap hampers our understanding of intersectionality between sex, gender, kinship and social s


Evaluation of developmental toxicity, immunotoxicity and Endocrine Disruption Caused by Exposure to Triazines, Triazoles and Short-Chain PFAS Triazole fungicides, triazines and short-chain PFAS are generally persistent and mobile (PM) chemicals. Their high water solubility and slow degradation makes them particularly likely to pollute potable water, leading to potentially high degrees of exposure in humans. To gain more insight in the hazards of these compounds, 16 triazoles, 9 triazines and 10 PFAS were tested for developmental toxicity on wild type zebrafish (Danio rerio) embryos and for endocrine disruption on cell lines. We are still working on two immunotoxicity assays to show effects of chemical exposure on bacterial clearance and phagocyte migration in zebrafish embryos. The developmental toxicity was measured using a growth scoring system [1]. The zebrafish embryos were also checked on teratogenicity and heart rate. Benchmark doses (BMD5) for a 5% decreased response were calculated to compare the potency of the tested chemicals. The endocrine disruption was tested with reporter gene cell lines regarding hormone receptor agonism and antagonism. Also, effects on steroidogenesis were tested using a human adrenocortical (H295R) cell line and liquid chromatography tandem mass spectrometry on the supernatants Peter Cenijn Vrije Universiteit Amsterdam Majorie van Duursen Vrije Universiteit Amsterdam Wilbert Bitter Vrije Universiteit Amsterdam Introduction and methods • Nine of the tested triazole fungicides showed activity on zebrafish embryo growth and heartbeat (table 1). Four of these remain to be tested in dilution series. • The underlying mechanism has been described earlier as the inhibition of Cytochrome P450 (CYP) 26 that regulates the catabolism of retinoic acid which is an important signaling molecule during embryogenesis and cardiogenesis [2]. • These same triazole fungicides showed effects on steroid hormone synthesis (figure 2). The steroidogenic profile after exposure of most triazoles shows an increase of progesterone and 17aOH progesterone and decrease of all other steroids. This is caused by inhibition of CYP 17 and CYP 21 which prevents the transformation of these progestogens to the other hormones further down the steroidogenic cascade. • In addition to inhibiting CYP enzymes, the triazole fungicides also show antagonism towards the estrogen (ER) and androgen receptor (AR). This means that exposure to these chemicals have multiple mechanisms to exert endocrine disruption. This antagonistic activity may in turn lead to decreased expression of CYP enzymes. • In conclusion, possible pollution of potable water by triazole fungicides is a cause of concern due to their potential of endocrine disruption and embryotoxicity. Results, conclusion and discussion This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036756. Maxim Carlier m.p.carlier@vu.nl Vrije Universiteit Amsterdam Partners Timo Hamers Vrije Universiteit Amsterdam growth score Heartbeat ametryn BMD5: 9.815 μM no effect bitertanol BMD5: 8.811 μM BMD5: 2.802 μM fenbuconazole BMD5: 14.15 μM BMD5: 4.623 μM tebuconazole BMD5: 17.26 μM BMD5: 9.448 μM propiconazole BMD5: 13.4 μM BMD5: 2.989 μM triadimenol no effect BMD5: 5.788 μM tetraconazole to be tested to be tested cyproconazole to be tested to be tested difenoconazole to be tested to be tested paclobutrazol to be tested to be tested Table 1: BMDs for the growth scores and change in heartbeat of embryos exposed to active compounds. Prior to these dose response experiments, all 36 chemicals were tested at 100 μM. Compounds that showed toxicity were tested in serial dilutions. References: [1] Hermsen, S. A., van den Brandhof, E. J., van der Ven, L. T., & Piersma, A. H. (2011). Relative embryotoxicity of two classes of chemicals in a modified zebrafish embryotoxicity test and comparison with their in vivo potencies. Toxicology


NATIONAL RESEARCH DATA INFRASTRUCTURE FOR ENGINEERING SCIENCES100011101011000111010110001110101Finding & applying requirementsKnowing & choosing the right toolLearning & starting RDMAnd others...Automate your RDM!RDM is complex!Get support!Jarves, do my RDM!Your Journey starts here!JarvesThe Joint Assistant for Research in Versatile Engineering SciencesJarvessupportsresearchersoftheengineeringsciencesintheireverydaywork.ItfocusesonthereductionofeffortandtimeofRDM.Thisisachievedbyaddressingthefollowingpoints:GuidanceinRDMByorderingtheRDMac-tivitiesbasedontheiroccur-renceintheengineeringresearchprocess,JarvesprovidesastructureforRDMinengineering.DecisionSupportBasedontheresearch’sgeneralenvironment,likerequirementsoffundingorganisationsorinstitutionalboundaries,Jarvesprovidesinformationonthenextstepsandavailabletools.ConnectingbeyondAsJarvesisbasedonthePythonDjangoRESTFrame-work,itoffersabroadcon-nectivitytootherservices,allowingforseamless(meta-)dataexchange.The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) -project number 442146713.Meet the digital RDM assistant.Your funding:Your university:Your institution:Your discipline: Production TechnologyGenerate RDMGet Training ➢Overview: Research Data Management ↗ ➢Overview: Data life cycle (DLC) ↗ ➢How to: DMPs ↗ ➢Versioning Source Code –A Git Tutorial ↗ ➢Software Develop-ment: PyPi ↗ ➢…1000111010110001110101Tobias Hamann and Jonas Werheidt.hamann@wzl-mq.rwth-aachen.de WZL | RWTH Aachen University Chair of Production Metrology and Quality Management & Institute for Information Management in Mechanical Engineering (Prof. Robert Schmitt) Metadata4IngWhere to start?Where to find information?What to learn? The… Data collections explorerDMP tool:Code Repository:Access solution:…Your Input


Reference collection for regulated viruses and viroids (VIRUSCOLLECT) Funding Non-competitive funding mechanism. Each funder only pays for the participation of their own national researchers. Total funding € 300,000 Picture 1 Picture 1 Picture 1 Goals The goal of VIRUSCOLLECT is to establish a common plant viruses and viroids collection by linking collections of individual institutes via Q- bank and to make collection and reference materials publicly available for phytosanitary research and diagnostic laboratories. Research consortium AT-AGES, DE-JKI, NL-NPPO-NL (EZ) and UK- SASA Contact information Project coordinator: Annelien Roenhorst j.w.roenhorst@nvwa.nl Key outputs and results Accessibility of plant viruses and viroids of phytosanitary concern via Q-bank, which provides data on characteristics, i.e. biology, serology and sequences, and information on availability of isolates. Objectives • To define and implement quality standards for Q-bank linked collections (characterisation, maintenance and provision of isolates and reference material) • To collect and characterise isolates of selected regulated viruses and viroids and make both data and isolates available via Q-bank, i.e. viruses of cereals, potato, stone and pome fruits, whitefly-transmitted viruses, Tospoviruses 11/2013-10/2015


Cécile Pohar𝟏,𝟐, Yousr Rekik𝟏, Benoit Gallet𝟑, Emmanuelle Tillet𝟒, Agnès Castan𝟒, Mireille Chevallet𝟏, Nicola Vigano𝟐, Pierre−Henri Jouneau𝟐, Aurélien Deniaud𝟏 1 Univ. Grenoble Alpes – CEA – CNRS, Laboratoire de Chimie et Biologie des Métaux, Grenoble, France; 2 Univ. Grenoble Alpes, CEA, IRIG, Laboratoire Modélisation et Exploration des Matériaux, 38000 Grenoble, France; 3Institut de Biologie Structurale, CEA, CNRS, Univ. Grenoble Alpes, 71 avenue des Martyrs, F-38042 Grenoble, France; 4 Univ. Grenoble Alpes - CEA – CNRS, Laboratoire de Biologie du Cancer et de l’Infection, Grenoble, France 1 Liver Architecture : Structural unit : hepatic lobule formed by hepatocyte cords Sinusoids : fine capillaries connecting the hepatic artery and portal vein to the central vein LSEC : complex structure, wide regions + thin regions with fenestrae LSEC fenestration : bidirectional flow of small molecules like an ultrafiltration system. Figure 1 : Liver architecture 3D electron microscopy (3D-EM) enables to obtain the ultrastructure of biological samples. Liver Sinusoidal Endothelial Cell fenestration (LSEC) forms an interface that allows the transport of essential molecules between blood and hepatocytes. LSEC fenestration can be characterised by Focused Ion Beam - Scanning Electron Microscope (FIB-SEM) at nanometer resolution. Analysing how Bone Morphogenetic Protein 9 (BMP9) affects the structure of LSEC is essential to understand the role of BMP9. Context and Objectives : Analysis of Liver Sinusoidal Endothelial Cell fenestration from 3D electron microscopy data Contact : cecile.pohar@cea.fr / cecile.pohar@gmail.com Methods : 2 • Minimum voxel size ~ 3 x 3 x 3 nm𝟑 • Thickness of a FIB slice down to 3 nm • Area selected : tens of microns Results : 3 3D Electron Microscopy Figure 2 : Microscope FIB-SEM Zeiss crossbeam XB 550 Image analysis : Semantic segmentation Deep Learning : nnU-Net Figure 3 : LSEC segmentation Ilastik software • Workflow Carving • Watershed method group of supervoxels • Workflow Pixel Classification • Random Forest Classifier pixels features • nnU-Net : Convolutional neural network (CNN) architecture Model tested on data from Medical Segmentation Decathlon Train from a labeled set of Ground Truth Optimising training nnU-Net : Python code in progress Figure 4 : Hepatic sinusoid segmentation mask : Ground Truth ACKNOWLEDGEMENTS – This research is part of the LabEx GRAL. This project received funding from the Chemistry Biology Health (CBH) Graduate School of University Grenoble Alpes (ANR-17-EURE-0003). This work was also supported by the CEA DRF-Impulsion grant FIB-Bio and the Région Auvergne Rhône-Alpes. This project is supported by GRAL. This work uses the Nanocaracterisation platforms (PFNC) @ Minatec and also the ME platform of the Institute of Structural Biology (IBS). The EM facility is supported by the Auvergne Rhône-Alpes Region, the Fondation Recherche Medicale (FRM). I would like to thank Met&Or team for fruitful discussions. 4 Conclusion Perspectives • 3D Tissue environment • FIB-SEM acquisitions pixel size : 64nm𝟑and 1000nm𝟑 • Complexity of LSEC segmentation : difficult shape FIB-SEM acquisitions 2D image-stack registration 3D reconstruction Quantitative data : LSEC fenestration • Diameter, number, porosity of LSEC fenestration • Diameter between 50 and 300 nm • Defenestration liver diseases • Quantitative measurements of LSEC fenestration : method to be automated • Hypothesis to be confirmed : BMP9 maintains LSEC fenestration • Ability of the deep learning model nnU-Net to adapt to a new task nnU-Net : a deep learning-based segmentation method • Train the model on part of the sub-volume select a random region of the sub-stack by programming in Python • LSEC 3D Ultrastructure study LSEC fenestration closer to reality • Enhance our understanding on LSEC architecture in vivo Data volume : around 60 Go software limits large dataset size for segmentation software • nnU-Net generation of segmenta


Comic Books in Translation: Process and Quality in Metaphor Translation Jisue Park (jisue.park@surrey.ac.uk) Study Aim Research Questions Participants Study design Results: Process The process of translating metaphors The final quality of metaphors The influence of MT on the human translation process RQ1 What is the process for translating metaphors in comic books? RQ2 Is the quality of the final product higher when translating from scratch or when MT post-editing? RQ3 Is the cognitive effort lower when translators MT post- edit metaphors than when they translate on their own? Translator (TR) Post-editor (PE) Reviewer (R) Translate without machine translation Translate with machine translation Assess the quality of translated metaphors - Google Translate - Korean → English An excerpt of comic book (189 words) Key-stroke data Screen-recording data Interview data Evaluation data Interview data Pre-questionnaire (Translators) Train translators Pre-experiment Main experiment Interview translators Pre-questionnaire (Reviewer) Review translations Train the reviewer Interview reviewer Analyse results Percentage of pause length for each translation phase Translator Post-editor Translation phase classified by Jakobsen (2002) Metaphor TR version PE version Label Pause length Label Pause length #1 Good 01:20.625 Fair 01:26.437 #2 Fair 00:12.187 Fair 00:50.750 #3 Poor 01:08:264 Fair 02:00.781 #4 Fair 01:06.999 Fair 01:06.344 #5 Fair 00:40.796 Poor 00:30.500 #6 Fair 00:39.282 Fair 00:24.328 #7 Poor 05:40.578 Fair 05:40.312 Total - 11:48.731 - 11:58.452 Average - 01:41.142 - 01:42.571 Results: Quality Reviewer ranking & links between effort and pauses Pausing is an indicator of mistrusting machine translation. Higher effort does not equal high quality. References Jakobsen, A. L. (2002). Translation drafting by professional translators and by translation students. Copenhagen studies in language, 27, 191-204.