Introduction Couples sometimes have fewer children than they intend to, resulting in a gap between intended family size and completed fertility. Education and union patterns are considered important factors behind postponement of fertility, which in turn is a key component of the fertility gap; because physiological constraints on fertility intensify at older reproductive ages. We aim to measure how much education and union patterns contributed to the fertility gap of Dutch women born during 1974-1984 (mean of 0.23, Table 2). Research question How much did union formation and - dissolution as well as educational attainment contribute to the gap between intended family size and completed fertility for Dutch women born between 1974 and 1984? Theory We assume that most pregnancies are a conscious decision by a couple. However, significant shares of pregnancies are unplanned and unintended. Some couples who want to get pregnant are also unable to, due to low fecundity and miscarriage. By including contraceptive behaviour and physiological constraints on fertility we model both perceived and actual control over fertility. Figure 1: Conceptual framework based on literature review Data Methods We simulate the reproductive life courses of individual women (couples). We predict the fertility of the cohort by generating cumulative distribution functions based on cohort distributions and parameters derived from the data, from which we make random draws. Simulation models The simulation model is split in to two separate parts, the union formation and reproductive processes. The models iterate monthly from age 15 to 55 (or sterility) to match the reproductive window and the menstrual cycle. No conceptions occur during enrolment in education or outside of cohabitation. We simulate 100,000 women. Figure 2: Union formation simulation model (woman stays in her current state if the transition conditions are not met) Figure 3: Reproductive process simulation model (IUM = Intrauterine mortality) Results Education barely contributes to the fertility gap, because later and less partnering among highly educated women is compensated for by more stable unions. Moderate changes in marriage, separation, and re-partnering all have small contributions to the gap. Divorce essentially has no contribution (70% marry, event occurs late in life course). The contribution of postponement of first cohabitation increases with duration due to physiological constraints on fertility at older ages. A reduction in the share of women who ever partner contributes substantially to the gap. Figure 4: Distribution (%) of women by intended family size and completed fertility. Most women realised their fertility intentions (diagonal line), underachievement (below line) was much more common than overachievement (above line). The fertility gap increased somewhat with education. Table 1: Contributions to the fertility gap (mean 0.33) Parameters Adjustment Contribution to fertility gap Share of highly educated Increase by 10%-points 0.013 Share of highly educated 25-34 year-olds in 2022 0.010 Share who marry Decrease by 5%-points 0.023 Share who separate Increase by 5%-points 0.019 Share who divorce Increase by 5%-points 0.003 Share who re-partner Decrease by 5%-points 0.027 Age at first cohabitation Increase mean by 1 year 0.029 Age at first cohabitation Increase mean by 3 years 0.061 Age at first cohabitation Increase mean by 5 years 0.181 Share that ever cohabit Decrease by 5%-points 0.092 Table 2: Simulation results versus reference data Indicator Demographic data Simulation results (1974- 1984 cohort) Mean age at first marriage (CBS) 30.10 29.22 Mean age at first cohabitation 24.50 24.30 Mean age at first separation (no previous divorce) 28.50 28.15 Mean age at first divorce 37.60 38.07 Mean age at first repartnering NA 33.32 Mean number of partners (1954- 1964) 1.20 1.43 Percent ever cohabited 95.00 95.05 Percent ever married 70.00 72.20 Percent cohabited & never separated


The Role of Atmosphere Feedbacks During El Niño General Circulation Models (GCMs) still have trouble simulating the observed frequency, structure and amplitude of the El Niño-Southern Oscillation (ENSO) phenomenon. Recent work (Guilyardi et al., 2004, 2008) suggests that the atmosphere plays a dominant role in determining the properties of ENSO. The work described here builds on this by analyzing the two main ENSO-relevant ocean-atmosphere feedbacks in the WCRP CMIP3 multimodel dataset. Can differences in the modelled feedbacks help explain the diverse ENSO simulation in models? James Lloyd*1, Eric Guilyardi1, Julia Slingo2, Hilary Weller1, Adam Scaife2 1 NCAS Climate, Department of Meteorology, University of Reading, UK 2 Met Office, Exeter, UK *Email: j.b.b.lloyd@reading.ac.uk • The heat flux feedback, α, can be related to the ENSO amplitude in the models. • The SW component could help explain the model diversity in both overall α and ENSO amplitude. Next steps: • Look for links between the feedbacks and the mean state biases in the models. • Understand the dynamical µ feedback, especially the relationship with ENSO amplitude. There are two main ocean-atmosphere feedbacks relevant to ENSO: • Dynamical (Bjerknes) feedback: τxA = µSSTA Positive feedback (µ) linking zonal wind stress (τxA) and SST anomalies (SSTA). • Thermodynamical feedback: QA = αSSTA Negative feedback (α) linking total surface heat flux (QA) and SST anomalies. These feedbacks are diagnosed in GCMs by linearly regressing the relevant variables: Both feedbacks are generally underestimated in the models compared to the ERA40 and OAFlux (α only) reanalysis data. The zonal wind stress coupling with an East Pacific SST change is too weak, as is the heat flux damping response. There is thus an error compensation between the two feedbacks. The relationship of α to the ENSO strength (measured by the SST Niño 3 standard deviation) shows that the models with strongest damping have the weakest ENSO, whereas those with the weakest damping generally exhibit a stronger ENSO. However, the corresponding µ graph (not shown) shows the opposite result to expected - this will need to be investigated. Figure 1. The two ocean-atmosphere feedbacks in ERA40: (a) Zonal surface stress anomaly (Niño4) against SST anomaly (Niño3). The linear fit gives a value for µ (b) Surface total heat flux anomaly (Niño3) against SST anomaly (Niño3). The linear fit gives a value for α. Each point represents one monthly average. Niño4 = 160E-150W, 5N-5S (West Pacific) Niño3 = 150W-90W, 5N-5S (East Pacific) 1. Motivation 2. ENSO Ocean-Atmosphere Feedbacks 3. The Feedbacks in the GCMs a) Annual averages of µ and α b) Relationship to ENSO strength 5. Conclusions Figure 3. ENSO amplitude against α feedback for ERA40, OAFlux and 12 CMIP3 models. Figure 2. Average annual Niño 4 µ (blue bars) and Niño 3 α (red bars) for ERA40, OAFlux (α only) and 12 CMIP3 models. a) The total heat flux can be separated into four components: shortwave radiation (SW), longwave radiation (LW), latent heat flux (LH) and sensible heat flux (SH). The individual feedbacks are calculated for each of these in the Niño 3 region: In the East Pacific the sign of αSW depends on the large-scale circulation, with a negative feedback in areas of ascent and a positive feedback in subsident regimes. (R & C, 1991; Philander et al., 1996) By binning the vertical velocity at 500hPa (w500) according to SST we have calculated the Niño 3 ‘ascent threshold’ for each model, the average SST above the mean state at which ascent occurs. 4. Understanding the α Feedback a) Splitting up the net feedback b) The SW component, αSW Figure 5. Ascent threshold vs. ENSO amplitude. Figure 4. Average annual α feedback components in Niño 3 for ERA40, OAFlux and 12 CMIP3 models. The latent heat and shortwave feedback components dominate, but it is the shortwave component, αSW, which exhibits the most variation between models. (a) (b) µ ~ 12 x 10-3 Nm-2C-1 α ~ -19 Wm-


Jeferson Freitas, jeferson@consultead.com.br Matheus Gabriel da Silva, matheuscoelho032@gmail.com Cleonir Tumelero, cleonir.tumelero@up.edu.br A relação entre Inteligência Artificial e Inovação em Modelo de Negócios de Startups 1 INTRODUÇÃO A inteligência artificial (IA) vem promovendo a automatização de processos e operações das organizações em ritmo acelerado nos últimos anos. Tanto indivíduos quanto corporações mostram-se atentos e preocupados com essa mudança, que se apresenta contundente e disruptiva, no intuito de acompanharem as novas ferramentas tecnológicas já em uso, e para as tendências inovativas de um novo futuro que se apresenta (Junior & Torres, 2022, p. 2). As empresas têm hoje maior possibilidade de inovar. Como resultado, provavelmente, haverá uma evolução necessária dos mercados amparados pela IA. A IA é uma ferramenta de auxílio aos seus colaboradores, sendo essencial para a gestão de negócios, para a automatização de processos, para a definição de estratégias inovadoras na cadeia produtiva, para a análise de mercados, análise de desempenho de recursos humanos (Raimundo & Sebastião, 2021). 1.1 OBJETIVOS/PERGUNTA DE PESQUISA O objetivo deste estudo é minerar textos científicos na fronteira teórica do conhecimento sobre inteligência artificial (IA) e novos modelos de negócios em startups. A pergunta de pesquisa é “Quais são as relações e a intensidade semântica dos principais termos sobre inteligência artificial e inovação em modelo de negócios de startups em estudos científicos?”. 2 REVISÃO DA LITERATURA Observa-se um rápido surgimento de startups que utilizam IA como parte de seu modelo de negócios (Weber et al., 2021). Com relação à IA, Junior e Torres (2022) afirmam que ela está mudando a forma como pessoas e organizações realizam seus processos e suas operações. Os novos modelos de negócios, alinhados à transformação digital, vêm provocando uma revolução na automatização do uso de dados e informações para a tomada de decisão, por um lado, e a descoberta de novos formatos de trabalho, por outro lado. O modelo de negócios, segundo (Teece, 2010), descreve a lógica de negócios de uma empresa: a proposta de valor que é oferecida, como o valor é criado e entregue aos clientes e como a receita é gerada e capturada. Para Skala (2022), startups são empreendimentos cujo modelo de negócios é moldado pela inovação, crescimento rápido e alta ambição. Elas projetam e validam seus modelos de negócios sob incertezas e recursos limitados. O modelo de negócios deve possibilitar a escalabilidade do empreendimento, que é alcançada por meio do aproveitamento de tecnologias digitais ou outras soluções técnicas e organizacionais. A IA é uma tecnologia-chave na nova revolução industrial; pode mudar a interação entre os participantes das empresas e a sociedade como um todo (Kulkov, 2021, p. 1). Para Weber et al. (2021), atualmente, observa-se o rápido surgimento de startups que fazem uso da IA como parte de seu modelo de negócios. 3 METODOLOGIA Realizou-se uma pesquisa exploratória com o uso do software VosViewer e, em seguida, fez-se uma análise das redes bibliométricas que caracterizam a produção nacional e internacional acerca do tema com a verificação da base de dados Web of Science (WoS), de 2018 a 2022. A pesquisa fez uso dos seguintes descritores Startup, Artificial Intelligence e Innovation. Chegou-se a um número de 284 artigos quando se utilizaram esses três descritores em conjunto. 4 RESULTADOS Rede das palavras-chave de maior ocorrência em publicações nacionais e internacionais com Startups, Artificial Intelligence e Innovation e indexadas na WoS. Há a ocorrência de oito clusters, rede de palavras mais citadas e de suas respectivas frequências. No Network Visualization (Fig. 1), constata-se que há relação entre startups, inteligência artificial e inovação. Esses três termos estão presentes no cluster 4 e se formam por afinidade ou proximidade. A linha fina (arestas) de ligação entre IA e startups mostra que essa ligaç


Developed by the Community Lab at the MDI Biological Laboratory in Bar Harbor, Maine. Anecdata is a free online citizen science platform to support individuals and organizations in collecting, managing, and sharing citizen and community science data. Get started @ Anecdata.org! Anecdata is used by hundreds of individuals and organizations in 76 countries and 6 languages to gather, share, and access citizen science observations. Check out our Project Best Practices Guide! and Community Standards! Questions? Get in touch! Email us at anecdata@mdibl.org or @Anecdata_org Create Project managers create projects, choose data licenses, and create the datasheets. Collect Participants join projects and use the Anecdata website or mobile app to make measurements and collect data. Share Data are incorporated into the project and can be analyzed and shared! Download the app! App Store Google Play


Entwicklung des Anteils der Closed-Artikel im Berichtszeitraum 2016–2020 (Vergleich Berichtsjahr vs. Neuerhebung Juni 2022) Entwicklung des Anteils der Gold-Open-Access-Artikel im Berichtszeitraum 2016–2020 (Vergleich Berichtsjahr vs. Neuerhebung Juni 2022) Entwicklung des Anteils der Green-Open-Access-Artikel im Berichtszeitraum 2016–2020 (Vergleich Berichtsjahr vs. Neuerhebung Juni 2022) Entwicklung des Anteils der Hybrid-Artikel im Berichtszeitraum 2016–2020 (Vergleich Berichtsjahr vs. Neuerhebung Juni 2022) Entwicklung der Open-Access-Anteile bei Zeitschriftenartikeln von Wissenschaftler*innen an Einrichtungen des Landes Berlin 2016–2020 Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz. Anteil von 60% Open Access bei Zeitschriftenartikeln erreicht Der Gesamtanteil an Open-Access-Zeitschriftenartikeln mit Berliner Autor*innenschaft im Publikationsjahr 2020 wird untergliedert in den Anteil von Artikeln in genuinen Open-Access-Zeitschriften (Gold Open Access) und in Hybridzeitschriften (Hybrid Open Access) sowie in den Anteil von Open-Access-Zweitveröﬀentlichungen (Green Open Access). Insgesamt wurden 13.925 Artikel identifiziert. 8.858 Artikel wurden als Open-Access-Artikel veröﬀentlicht, was einem Anteil von 63,6 % entspricht. Die vom Land Berlin im Rahmen der Open-Access-Strategie im Jahr 2015 formulierte Zielstellung, bis zum Jahr 2020 einen Open-Access-Anteil von 60 % bei wissenschaftlichen Zeitschriftenartikeln zu erreichen, wurde demnach leicht übertroﬀen. Die Auswertung der im Juni 2022 für die Jahre 2016–2020 neu erhobenen Daten zeigt darüber hinaus, dass der Anteil an Open-Access-Artikeln für alle Publikationsjahre über den bislang bekannten Zahlen liegt. Werden die Zahlen der Neuerhebung zugrunde gelegt, liegt der Open-Access-Anteil insgesamt sogar bereits bei 64,6 %. In die Analyse wurden die neun publikationsstärksten öﬀentlichen Wissenschaftseinrichtungen des Landes Berlin einbezogen: ●Alice Salomon Hochschule (ASH) ●Berliner Hochschule für Technik (BHT, früher: Beuth Hochschule) ●Charité – Universitätsmedizin Berlin (Charité) ●Freie Universität Berlin (FU Berlin) ●Hochschule für Wirtschaft und Recht Berlin (HWR) ●Hochschule für Technik und Wirtschaft Berlin (HTW) ●Humboldt-Universität zu Berlin (HU Berlin) ●Technische Universität Berlin (TU Berlin) ●Universität der Künste (UdK) Bericht: https://doi.org/10.14279/depositonce-15778 (Stand Oktober 2022) Daten zum Bericht: https://doi.org/10.14279/depositonce-15780 (Stand Oktober 2022) Beitragende: Datenerhebung: Jenny Delasalle (Charité), Pamela Finke (HU Berlin), Sean Nowak (FU Berlin), Alexandra Schütrumpf (TU Berlin), Michaela Voigt (TU Berlin) Datenverarbeitung und -auswertung: Martin Hampl (FU Berlin), Pamela Finke (HU Berlin) Konzept und technische Umsetzung der Datenaggregation und -aufbereitung: Eva Bunge (Deutsches Museum München), Michaela Voigt (TU Berlin) Poster: Maaike Duine (Open-Access-Büro Berlin) Autorinnen des Berichts: Maxi Kindling (Open-Access-Büro Berlin) maxi.kindling@open-access-berlin.de 0000-0002-0167-0466 Jenny Delasalle (Med. Bibliothek der Charité – Universitätsmedizin Berlin) 0000-0002-2241-4525 Pamela Finke (Humboldt-Universität zu Berlin, Universitätsbibliothek) 0000-0001-9086-3202 Steﬀi Grimm (Freie Universität Berlin, Universitätsbibliothek) 0000-0001-5055-9492 Michaela Voigt (Technische Universität Berlin, Universitätsbibliothek) 0000-0001-9486-3189 Gesamtanzahl Zeitschriftenartikel 13.925 Gesamtanteil Open Access 8.858 (63,6 %) Gold Open Access 3.928 (28,2 %) Green Open Access 2.076 (14,9 %) Hybrid Open Access 2.854 (20,5 %) Auf diesem Poster wird die Entwicklung der Open-Access-Anteile bei Artikeln in wissenschaftlichen Zeitschriften für Gold, Hybrid und Green Open Access sowie Closed Access für die Jahre 2016–2020 gezeigt. Die Abbildungen beziehen sich jeweils auf die Datenauswertungen aus den jeweiligen Berichtsjahren und auf Daten einer Neuerhebung, die im Juni 2022 durchgeführt w


El sedimentador fue diseñado y construido en los laboratorios de Aguas y Química de la Universidad Sergio Arboleda, garantizando un entorno controlado para la realización de las pruebas experimentales. La Figura 1 presenta la metodología implementada para su diseño, así como la secuencia establecida para llevar a cabo los ensayos experimentales, con una descripción detallada de los parámetros evaluados. 1 Estudiantes del programa de Ingeniería Ambiental de la Universidad Sergio Arboleda, Bogotá, Colombia. Correos electrónicos: carlos.cadavi01@usa.edu.co, juliian.ramos01@usa.edu.co, camilo.sanchez03@usa.edu.co y ana.meza01@usa.edu.co. ORCID: 0009-0002-1932-2598, 0009-0002-8794-7880, 0009-0008-0812-7651 y 0009-0009- 5592-8002. 2 Profesor asociado del programa de Ingeniería Ambiental de la Universidad Sergio Arboleda, Bogotá, Colombia. Correo electrónico: victor.lizcano@usa.edu.co. ORCID:0000-0002-1569-4784. 1 Carlos Fernando Cadavid Zapata, 1 Julián Esteban Ramos Arias, 1 Camilo Andrés Sánchez Gutiérrez, 1 Ana Sofia Meza Julio, 2 Victor Augusto Lizcano Sandoval. Evaluación del Desempeño de un Prototipo de Sedimentador de Alta Tasa La presente investigación analizó el desempeño de un prototipo de sedimentador de alta tasa diseñado y construido en los laboratorios de la Universidad Sergio Arboleda. Los sistemas de sedimentación convencionales enfrentan limitaciones significativas en la eliminación de partículas finas, como las de arcilla, lo que afecta negativamente la calidad del agua tratada. Para evaluar la eficacia del sedimentador, se consideraron parámetros fisicoquímicos como el pH y el caudal, en un enfoque experimental que incluyó mediciones de turbidez y sólidos suspendidos totales (SST). Los resultados obtenidos revelaron que un pH cercano a 7.5 mejora las interacciones entre partículas, facilitando la formación de flóculos y aumentando las tasas de sedimentación. Asimismo, al utilizar sulfato de aluminio como coagulante a un pH de 8.4, se logró una mejora significativa en la remoción de turbidez (66%), color (55%) y SST (56%). En cuanto al caudal, se determinó que este es un factor crítico para la eficiencia del sistema: caudales excesivamente altos dificultan el asentamiento de partículas, mientras que caudales bajos comprometen la capacidad del sedimentador. Sin embargo, se identificaron problemas en el diseño y la construcción del prototipo, tales como dimensiones inapropiadas de las placas y deficiencias en su fijación, que ocasionaron filtraciones y alteraciones en el flujo hidráulico, afectando negativamente el desempeño del sistema. Estos hallazgos destacan la necesidad de un diseño robusto y una construcción precisa para garantizar un rendimiento eficiente en los procesos de tratamiento de aguas residuales. Palabras clave: Caudal; Desempeño; Turbidez; Sedimentador de alta tasa. Resumen Objetivos Conclusiones El pH afecta la carga de las partículas y la eficacia de los coagulantes, siendo un pH cercano a 7.5 ideal para reducir la turbidez. En condiciones de pH 8.4 con coagulante, s e optimizan los procesos de neutralización y formación de flóculos, mejorando las tasas de sedimentación y la eficiencia del sistema. El caudal influye en el tiempo de retención hidráulica, clave para la sedimentación. Caudales altos dificultan el asentamiento de partículas, mientras que caudales bajo s reducen la capacidad del sistema. En agua con arcilla sin coagulantes, el control preci so del caudal es esencial para mejorar la remoción de sólidos. Errores en las dimensiones y fijación de las placas generaron filtraciones y alteraciones en el flujo, impactando negativamente la eficiencia del sedimentador. Esto resalta l a importanci a d e u n diseñ o adecuad o y un a construcció n precis a par a asegura r el rendimiento. Referencias Davis, M. L. (2010). Water and wastewater engineering: design principles and practice . McGraw-Hill. Hossam, Altaher., Emad, ElQada., Waid, Omar. (2011). Pretreatment of Wastewater Streams from Petroleu


QualidataNet – das Netzwerk für Management, Data Sharing und Nachnutzung qualitativer Forschungsdaten KonsortSWD wird im Rahmen der NFDI durch die Deutsche Forschungsgemeinschaft (DFG) gefördert – Projektnummer: 42494171 Kati Mozygemba - „Central point of entry“ für qualitative Daten Services für Forschende • QualidataNet bietet einen zentralen Zugang zu qualitativen Daten der im Netzwerk vertretenen FDZ. Qualitative Daten lassen sich so leichter finden, ebenso wie die spezifischen Ansprechpartner für die jeweilige Datennutzung. • QualidataNet unterstützt interessierte Wissenschaftler*innen beim Finden des für sie und ihre Daten passenden Partners für die Archivierung und führt durch die spezialisierten Infrastrukturangebote. • Ein Portfolio an Instrumenten zum Forschungsdatenmanagement (FDM) unterstützt Forschende bei Fragen rund um das Management, das Teilen und die Nachnutzung qualitativer Forschungsdaten. • Untereinander abgestimmte Vorlagen und Handreichungen schaffen Orientierung und erleichtern es, sich mit den für das Data Sharing und das Forschungsdatenmanagement qualitativer Daten zentralen Aspekten auseinanderzusetzen. Services für Infrastrukturen • QualidataNet steht allen Institutionen, die qualitative Daten halten und zur Nachnutzung bereitstellen, offen. Die Netzwerkpartner profitieren von Austausch und gemeinsamen Entwicklungen. • Zentrale Aspekte des FDM und des Data Sharing qualitativer Daten werden gemeinsam bearbeitet, was Doppelentwicklungen vermeidet und die Expertise von spezialisierten Archivierungspartnern für einen bestimmten Datentyp berücksichtigt. • Durch die Präsentation von Datensätzen im Portal von QualidataNet erhöht sich die Sichtbarkeit und Findbarkeit der Datensätze und die Nachnutzung qualitativer Daten wird erleichtert. • Mit QualiTerm schafft QualidataNet ein gemeinsam mit qualitativ Forschenden entwickeltes kontrolliertes Vokabular für die Beschreibung zentraler Elemente qualitativer Forschung, welches Forschungsdatenzentren bei der Anlage von passenden Metadaten unterstützt. Website und Suchportal - Mitarbeit an DDI-CDI-Modell zur Erhöhung der FAIRness qualitativer Daten über Disziplingrenzen hinweg Metadaten und Kontrolliertes Vokabular (QualiTerm) FDM-Portfolio für Qualitative Daten Netzwerkpartner Forschungsdatenmanagement-Portfolio für qualitative Daten • Koordination der DDI-CDI-Subgroup Qualitative Data • Mitarbeit am DDI-CDI-Modell zur Erhöhung der Interoperabilität und Reusability qualitativer Daten über Disziplinen hinweg • Entwicklung von QualiTerm in Kooperation mit Forschenden • Implementation in Metadatenschemata • Publikation via CESSDA Besondere Bedarfe im Management Qualitativer Daten • FDM-Beratung und Vorlagen für qualitative Daten müssen Offenheit, Verweisungsdichte und Methodenvielfalt qualitativer Daten Rechnung tragen • Forschungsethische Abwägungen spielen eine zentrale Rolle • häufig müssen studienspezifische Lösungen gefunden werden • integrierende Data Sharing-Broschüre thematisiert Spezifika und Lösungen • Dokumentation der Aufwände und Kosten bei Aufbereitung, Kuration und Bereitstellung von Forschungsdaten im FDZ • Nutzerschulungen, Workshops und Vorträge zum FDM qualitativer Daten • Inputs zu rechtlichen Fragen • Auseinandersetzung mit aktuellen Entwicklungen wie des Einsatzes von KI in der qualitativen Forschung und Auswirkungen auf Data Sharing und Nachnutzung https://www.qualidatanet.com/ DOI: 10.5281/zenodo.14260129


Operational Collaborative Tool of Ongoing Practices in Urgent Sanitation Poster prepared by: Claire Papin-Stammose _ Solidarités International _ cpapin-stammose@solidarites.org 42nd WEDC INTERNATIONAL CONFERENCE ONLINE: 13 –15 September 2021 Equitable and Sustainable WASH Services Future challenges in a rapidly changing world What is OCTOPUS? Online participative platform on faecal sludge treatment in emergency Experience sharing from the field Peer to peer learning with success and challenges How OCTOPUS can help you? Contextualized cases studies on fecal sludge treatment in emergency Comprehensive case studies with technical and financial information Tool box to sort and compare technical solutions Links to technical resources on faecal sludge management Community of practioners Repertory of experts available upon request Join OCTOPUS community and share your case studies!


Canterbury mudﬁsh and severe droughts: Could an altered drought regime reduce resilience to subsequent disturbances? Why Canterbury mudﬁsh? Methods Stress-tolerant species (STS), like Canterbury mudﬁsh, typically persist in extreme habitats free from compeƟƟon Fragmented populaƟons and highly modiﬁed habitat likely make this STS extremely suscepƟble to global changes Conclusions Drought intensity and mudﬁsh size distribuƟon are not independent (χ2 = 26.60, df = 14, p = 0.02) Severe drought => shiŌ to juvenile-dominated populaƟons and decreased mean size High fecundity and fast growth enable quick recovery, but will be ineﬀecƟve if all adults die Soil moisture index Frequency (CPUE per site) Wet Mild drought Severe drought 0 50 60 75 90 110 120 140 0 50 60 75 90 110 120 140 0 50 60 75 90 110 120 140 15 12 9 6 3 0 50 0 -50 -100 -150 Sept Oct Nov Dec Jan Feb Sept Oct Nov Dec Jan Feb Sept Oct Nov Dec Jan Feb = sampling period = mean size Total length (mm) Month Increasing drought intensity = loss of adult mudﬁsh {Dry early January} {Dry early November} {Dry late September} 2006/07 2009/10 2015/16 The impact of predatory eels and trout InteracƟon with drought intensity probable because of changes to accessibility Predicted eﬀect of extreme drought Acknowledgements We thank the staﬀ and students of the Freshwater Ecology Research Group at the University of Canterbury for providing ﬁeld help, staƟsƟcal assitance and emoƟonal support as required. CGM completed this study during a UC summer scholarship and was supported by Waterways Centre for Freshwater Management Contestable Fund. We sampled sites from previous surveys along the Waianiwaniwa River Rainfall and soil moisture were downloaded from NIWA climate database Catch per unit eﬀort (CPUE) was used to quanƟfy and compare abundance 1School of Biological Sciences, University of Canterbury, Private Bag 4800, Christchurch 8104 cgm51@uclive.ac.nz AﬃliaƟons Wet -> low adult mortality suppresses juvenile recruitment, creaƟng adult- dominated populaƟons Future direcƟons Could global change (frequent severe droughts) => exƟrpaƟon? Healthy population with mudﬁsh of all sizes All adults lost and few juveniles left => Slow recovery possible Last juveniles die => Local extirpation Few adults remain, but many juveniles => Quick recovery possible {predicted} 0 -10 -20 -30 -40 -50 -60 -70 Mean soil moisture index (10-20 Nov) 8 6 4 2 0 CPUE (per site) {observed} Christopher G. Meijer1, Richard S. A. White1, Jon S. Harding1 and Angus R. McIntosh1 Hypotheses Mild drought -> moderate adult mortality allows for some recruitment, creaƟng a balanced populaƟon Severe drought -> high adult mortality, which is associated with juvenile- dominated populaƟons Got better ﬁsh puns? You’ll have to let minnow I feel like a ﬁsh out of water....... 100% 0% Drought intensity Wet Severe Percent of populaƟon Mild Extreme YES! Increased drought frequency or intensity could reduce the resilience of Canterbury mudﬁsh to future droughts Canterbury mudﬁsh (Neochanna burrowsius) Did you know weighing us can be time-consuming? Because, unlike most ﬁsh, we don’t have scales No, why?


The new Cryogenic Underground (C2U) facility: an overview The low radioactivity cryostat of CROSS (Cryoconcept) is equipped with a Cryomech PT415 pulse-tube. A special technology (Ultra Quiet Technology) is employed to mitigate the pulse tube vibrations. The cooling process take place in two phases: - precooling: from 300 K to 4 K obtained by circulating a 3He/4He mixture at high flow rate (17 mmol/s) - standard cooling: from 4 K to 10 mK, by using a dilution unit closed-cycle (condensation at 2 mmol/s). The dilution unit has a cooling power of about 6 uW at 20 mK and 340 uW at 100 mK, and can reach temperatures below 10 mK over an experimental volume of 600 cm length and 30 cm diameter. The cryostat cools down to 4 K without any exchange gas: 120 kg of internal lead-copper shielding plus few tens of kg of low temperatures detectors/holders are ready in 55 hours to be further cooled down 10 mK. In few hours the detectors reach the 20 mK temperature region and are ready to study. The Mixing Chamber temperature is stabilized around 12 mK with temperature fluctuation within 10 uK. The best detector working point is searched and noise optimization studies begin... We performed a campaign of "seismic" measurement at the installation site to built the best strategy to place the cryostat and decouple from environmental vibrations. Since the ground floor at LSC is an extremely calm reference frame (except human activity), the cryostat is referenced to the floor. With high sensitivity accelerometers we further characterized the vibration profile of the 10 mK replica plate, where detectors are installed, with pulse tube ON/OFF. Along the radial direction r, the pulse tube high order harmonics are not totally cancelled, despite the UQT system. These residual components are mainly due to the positioning/fixation of the rotary valve. An upgrade of the system is under study. The Mixing Chamber is regulated via a PID system, which typically delivers a power of about 200 nW (5.5 uW) to stay at 10 mK (20 mK). Temperature/noise stabilities are key parameters to perform high quality, long-living bolometric searches. The cryostat is equipped with shielded, twisted pair manganin wires. The wiring goes (without any interruption) from 300 K down to 10 mK: here the conductors are thermalized via Kapton pads thermally anchored to the cold stage. The cables are thermalized at every cryostat cold stages by mechanical clamping of the shielding. Experimental Space Tripode (to hold the pulse-tube head) External 25 cm thick lead shielding Rotary Valve New low noise electronics Hydroformed bellow Pulse Tube head 300 K flange The pulse tube head is coupled to the cryostat via a supple hydro-formed bellow and is firmly kept by a tripode rigid frame. The pulse tube cold stages are thermally linked to the cryostat cold stages by gas loaded exchangers which prevent any mechanical contacts. The cryostat is mechanically referenced to the floor: it is tighten to a 10 ton lead-brick loaded platform. Bricks constitute the low radioactivity external lead-shielding (25 cm thick) which protects the internal experimental volume from the external radioactivity. An internal lead socket (120 kg weight), cooled down to temperatures as low as 800 mK, shields the experimental volume from the dilution unit and cryostat upper parts (no low radioactivity materials). From below, the experimental volume is protected by a 25 cm thick lead socket. Lead socket Front-end: 6 detectors per card, directly plugged to the cryostat connector box Detectors are equipped with high resistivity sensors (Ge-NTD, 1-10 Mohm resistance). The sensor signals are read by low-noise, room-temperature amplifiers. The sensor bias current circuitries (typ: 10 pA-30 nA range) is also embedded in the amplifier modules. The signals are afterwards shaped with a programmable Bessel filter and digitized with 24 bit precision ADC (+- 10.25 V dynamic range, 5kHz sampling frequency). New electronic intrinsic noise 10


Introduction & Methodology The transformation of the energy system towards a low-carbon and decentralized model requires the integration of a wide range of energy-related data, including electricity production and consumption, weather conditions, energy storage, and grid infrastructure. However, much of this data is currently dispersed across different stakeholders, such as utilities, grid operators, regulators, and consumers, and is subject to various legal, technical, and economic barriers to sharing. To overcome these challenges, a data sharing platform can provide a common space for collecting, processing, and sharing energy-related data among different actors, thus enabling the development of new services, applications, and business models based on data-driven insights.To address these challenges, this paper proposes a framework for ensuring transparency and involvement of the energy-related industry in a data sharing platform, based on the FAIR data principles. The proposed framework in the Figure consists of three main parts: (1) the definition of technical and organizational requirements for data sharing, (2) the involvement of industry partners in the co-creation of the platform, and (3) the collection and creation of substitute data. In the first part, the relevant partners for the energy domain should be identified. The technical and organizational requirements for data sharing are based on the FAIR data principles, which provide guidelines for making data Findable, Accessible, Interoperable, and Reusable. This includes the use of standardized data formats, metadata, and vocabularies, as well as the provision of appropriate documentation, licenses, and identifiers. In addition, the platform should support data quality control, data enrichment, and data integration services, to ensure that the data is relevant, accurate, and consistent across different sources. To facilitate this process, the platform provides collaborative and participatory tools, such as forums, workshops, and hackathons, that allows industry partners to exchange ideas and feedback. The involvement of industry partners in the co-creation of the platform is essential to ensure that the platform meets the needs and expectations of the energy-related industry. This includes the identification of data sources, data use cases, and data sharing agreements, as well as the development of new services, applications, and business models based on the data. Besides data, the industry requirement for accessing and using the related services is also part of the framework. The last part of the framework is the collection and creation of substitute data. The industry partners may not always be able to provide complete data sets due to privacy concerns or other reasons. Therefore, synthetic data will be created where necessary to ensure that the platform has the data required for analysis. Tools for the anonymization of personal data are integrated to ensure that the privacy of individuals is protected. Conclusion In conclusion, the framework developed addresses the need for transparency and involvement of the energy-related industry by creating a collaborative environment where industry partners can contribute and access FAIR data, access community services, and provide feedback for continuous improvement. Additionally, the framework addresses the issue of missing or personal data through the development of tools for the creation of synthetic data and the anonymization of personal data. By incorporating industry needs and concerns, the framework facilitates collaboration between industry partners and researchers, resulting in more effective and efficient energy systems. Transparency and Involvement of the Energy- Related Industry in a Data Sharing Platform Zhiyu Pan +49 (0)241 80-49713 Zhiyu.pan@eonerc.rwth-aachen.de RWTH Aachen University | E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate Mathieustraße 10 | 52074 Aachen | Ge


Glueing Life Cycle Sustainability Assessment of Laminated Strand Lumber in the Spanish Woodworking Sector: Integrating Economic, Environmental, and Social Dimensions Lago-Olveira, Sara1; Gallego, María1; Coello-García, Tamara2; Alvarado-Morales, Merlín3; Entrena-Barbero, Eduardo1 1Contactica Innovation, C/ Embajadores, 187, 28045 Madrid (Spain) 2Cesefor, Pol. Ind. Las Casas, C/ C, Parcela 4, 42005 Soria (Spain) 3Technical University of Denmark, Department of Environmental Engineering, Building 113, DK-2800 Kgs, Lyngby (Denmark) CONTEXT & OBJECTIVE SYSTEM BOUNDARIES Silviculture Levelized Cost of Production (LCOP) LIFE CYCLE SUSTAINABILITY ASSESSMENT METHODOLOGY Cradle-to-gate approach SOCIAL PERSPECTIVE Job creation potential according to the method proposed by Pillain et al. (2019)1 ENVIRONMENTAL PERSPECTIVE ECONOMIC PERSPECTIVE This research has been supported by CALIMERO (Industry CAse Studies AnaLysis To IMprove EnviROnmental Performance And Sustainability Of Bio-Based Industrial Processes) (No 101060546), funded by the European Commission call HORIZON-CL6-2021-ZEROPOLLUTION-01. SOCIAL PERSPECTIVE Debarking and chipping Drying and screening Pressing Glueing Edge trimming and sanding Transport Laminated Strand Lumber s FU: 1 m3 of LSL ENVIRONMENTAL PERSPECTIVE Product Environmental Footprint (PEF) method v3.1 ECONOMIC PERSPECTIVE Net Present Value (NPV) Levelized Cost of Production (LCOP) Environmental externalities s Stage I Stage II 0% 20% 40% 60% 80% 100% CC ODP HTC AC FEU EC Stage I Stage II Relative contributions of each stage 0% 20% 40% 60% 80% 100% CC ODP HTC AC FEU EC Relative contributions of each step of stage II 0% 20% 40% 60% 80% 100% CC ODP HTC AC FEU EC Silviculture Logging Transport Relative contributions of each step of stage I Impact categories: Climate Change (CC), Ozone Depletion (ODP), Cancer Human Toxicity (HTC), Acidification (AC), Freshwater Eutrophication (FEU), Freshwater Ecotoxicity (EC) Debarking & chipping Drying & screening Pressing Edge trimming & sanding In the Spanish context, Laminated Strand Lumber (LSL) offers superior mechanical properties for a variety of construction applications. In addition, it is produced from parts of trees that are unsuitable for other industries, such as plywood or laminated timber, thus maximizing the use of trees. However, the woodworking sector in Spain faces a number of challenges that need to be addressed: - Cover the harmful effects of volatile organic compounds emitted during wood processing - Reduce energy consumption - Consider social risks such as job loss, apart from health and safety issues, particularly related to toxic risks Therefore, the objective of this study was to analyze the level of sustainability, including environmental, social and economic dimensions, of an LSL production system in Spain. NPV 1.12 M€ 39.63 €·FU-1 97.02 €·FU-1 LCOP (CO2 emissions price from the Emission Trading System (ETS)) (10-year period) 82 jobs 51 In-house jobs Upstream jobs Environmental externalities 39 12 Stage I Stage II 31 ¹Pillain, B., Viana, L.R., Lefeuvre, A., Jacquemin, L., Sonnemann, G., 2019. Social life cycle assessment framework for evaluation of potential job creation with an application in the French carbon fiber aeronautical recycling sector. Int. J. Life Cycle Assess. 24, 1729–1742. https://doi.org/10.1007/s11367-019-01593-y


El gráfico en anillo presenta los formatos de publicaciones realizadas durante el año 2021, siendo mayoritarias las imágenes individuales, seguidas por imágenes múltiples (tipo carrusel), videos con duración inferior a un minuto e IGTV con duración superior a un minuto. El gráfico de barras organiza los tipos de publicaciones realizadas en función de la interacción, del Avg Engagement, permitiendo visualizar que han sido las imágenes múltiples aquellas con mejor recepción por parte de la comunidad que interactúa con la cuenta. Es destacable que los vídeos de hasta un minuto tienen casi la mitad del interacción, pese a ser numéricamente inferiores. Tags y palabras clave. Son términos que los usuarios tienden a utilizar juntos en una publicación cuando escriben #Antropología. Conocerlos es útil para identificar la percepción de términos con relación orgánica, esto es, aquellos conceptos que la comunidad percibe y utiliza estrechamente vinculados. Términos relacionados POTENCIALIDADES DE LA APLICACIÓN DE HERRAMIENTAS DE MARKETING PARA DIVULGACIÓN CIENTÍFICA Casamayú, Ignacio Agustín Muiña, María Florencia Hay un número creciente de trabajos académicos sobre divulgación científica y cada vez encontramos una mayor cantidad de casos de aplicación con la creación de cuentas en redes sociales, blogs y páginas web sobre divulgación de diversas disciplinas, gestionadas por estudiantes de grado, investigadores, equipos de trabajo e instituciones como Museos y dependencias académicas de Universidades, que reconocen la relevancia social de la divulgación. En la siguiente presentación nos enfocamos en dos herramientas de marketing (escucha activa y análisis de medios sociales) aplicadas al perfil de comunicación científica @shincal_equipo_investigacion en la plataforma de Instagram. Introducción Análisis de medios sociales Conocer estos tags permite considerar las etiquetas temáticas para reproducir el tipo de contenido que ha tenido buena recepción, tanto en alcance como en interacción. Tags con mayor interacción El análisis de medios sociales se realiza sobre el perfil de la cuenta. Es utilizado para recopilar datos a fin de conocer el desempeño en redes, evaluar la estrategia implementada y planificar su optimización acorde a los objetivos que la organización tuviera establecido (Quintero Barrizonte et al., 2014; Vidal Fernández, 2016; Fernández y Sieso, 2017; Christensen y Khalid, 2018; Muiña, 2021). 45.36 K Cantidad de publicaciones que han utilizado el tag #antropología. A mayor volumen de uso, más tráfico generan y resulta más competitivo lograr visibilidad 29 Dificultad estimada para aparecer entre las publicaciones destacadas del tag #antropología. #Antropología Escucha Activa o Christensen, L. L., & Khalid, M. S. (2018). Social media analytics dashboard for academics and the decision-making process. In Proceedings of the 11th International Conference on Networked Learning (pp. 425-431). o Fernández de la Peña, F. J., & Pereira Sieso, J. (2017). El Proyecto Arqueológico BHIT: difundiendo y midiendo un proyecto arqueológico en la Web. Complutum, 28 (1): 219-242 o Quintero Barrizonte, J.L., García Pérez, A., & Medina Ruíz, G. (2014). Plan de marketing para la revista “Universidad y Sociedad”. Universidad y Sociedad, 6 (3) pp. 20-25. o Muiña, M. F. (2021). Divulgación de Arqueología en redes sociales implementando estrategias de marketing. En Actas del XV Coloquio de Estudiantes de Arqueología PUCP. En prensa o Vidal Fernández, P. V. (2016). Metodología para la elaboración de un plan de marketing online. 3C Empresa. 26 (5): 57-72 o Zapatero, G. R. (2009). La divulgación arqueológica: las ideologías ocultas. Cuadernos de Prehistoria y Arqueología de la Universidad de Granada, 19, 11-36. Bibliografía La utilización de plataformas sociales para la divulgación responde al hecho de que éstas ofrecen una infraestructura digital que facilita la interacción entre usuarios, el intercambio de experiencias y la organización de actividades comuni


Scientific Context Approach Results and Applications Case Study Name: Estrogen Receptor Model • Manuscript – Methods & ER Case Study: Internal Review • Manuscript – AR Case Study: Submitted • Manuscript – Thyroid Peroxidase Case Study: In Prep • Manuscript – Cytotoxicity: In Prep • Manuscript – Zebrafish: In Prep • R Package – Toxboot: Published • R Package – Toxpath: In Prep • Data to be available on dashboard and FTP Case Study Name: Androgen Receptor Model References Disruptive Innovation in Chemical Evaluation Assessing Uncertainty in Risk Assessment Models Eric D Watt1,2 and Richard S Judson2 1Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee 2National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina epa.gov/research CSS BoSC Meeting 2016 Fig 2 Bootstrap. A) Experimental response values (circles) and hill model fit. B) Uncertainty in response values and fitted model using 1000 bootstrap resamples. Experimental (cyan) and bootstrap resampled (black) response values (circles) and hill model fits (lines). Fig 3 Bisphenol AF ATG_ERa_TRANS_up bootstrap results. Potency (AC50) values for A) Hill, B) Gnls, C) Winning model potency (hill red, gnls blue). D) Correlation between winning model efficacy (top) and AC50 (hill red, gnls blue). E) Experimental values (black circles) and model fit (black curve). Dashed line is 3x baseline median absolute deviation and solid line is assay activity cutoff. 1000 bootstrap fits are indicated (534 hill red, 466 gnls blue). F) Hit call and model selection for all chemicals. Black bars indicate chemical not a hit, red is hill model active, blue is gnls active. Fig 1 ToxCast models. A) Constant (cnst), B) Hill, and C) Gain-Loss (gnls) models. Over 2.6 million in vitro curves • Many chemicals (> 8,000 unique) • Many assays (> 800) Broad assay coverage • Numerous assay sources (> 10) • Many biological pathways (> 400) • Representing many species including human, rat, mouse, and fish • Diverse detection methods including fluorescence, colorimetric, radioactive, electronic sensing, and RNA transcription Broad chemical coverage • Pesticides, food additives, green alternatives, endocrine reference compounds, water contaminants, fragrances, etc. ToxCast Pipeline offers consistent analysis • Multiple models fit to data to determine efficacy (top) and potency (AC50) (Fig 1) • Model selection based on AIC from model fits, hit call based on efficacy relative to cutoff for winning model Fig 7 AR model AUC. Androgen receptor model AUC values for chemicals with an agonist or antagonist AUC > 0.05 with point estimates (circles) and 95% confidence intervals (error bars) for agonist (red) and antagonist (black) values. Fig 9 Androgen receptor model uncertainty distributions. Distributions of agonist (red), antagonist (black) or combined (orange) AUC values are explored using cumulative distribution function plots. A) Equilin is clearly active with some uncertainty between agonist and antagonist modes. B) Prodiamine antagonist AUC is slightly above the cuttoff and narrow distribution around this value showing high confidence in the calculated score. C) Benzoin agonist and antagonist AUC point estimates are 0, but there is ~60% probability of an antagonist value in the range of 0.2-0.35, flagging this chemical as a potential false negative. Fig 8 Androgen antagonist activity shift. Comparison of androgen antagonist assay potency with high (black) and low (gold) agonist concentration. Chemicals acting as true antagonists are expected to see a potency shift. Using bootstrap confidence intervals, we determine which chemicals have a significant potency shift and are therefore likely to be true antagonists. Anticipated Products 1. Federal Register. Use of High Throughput Assays and Computational Tools; Endocrine Disruptor Screening Program; Notice of Availability and Opportunity for Comment. 2015 Jun pp


SSHOC social sciences & humanities open cloud “Social Sciences and Humanities Open Cloud”, has received funding from the European Union’s Horizon 2020 project call H2020-INFRAEOSC-04-2018, grant agreement #823782 Main impacts SSHOC social sciences & humanities open cloud Realising the Social Sciences and Humanities part of the European Open Science Cloud The Social Sciences and Humanities are seamlessly integrated in the European Open Science Cloud EU-wide availability of trusted and secure access mechanisms for SSH data, conforming to EU legal requirements Availability of an EU-wide, easy- to-use SSH Open Marketplace, where tools and data are openly accessible State of the art Research Infrastructure in several pilot domains advanced through dedicated SSH data pilots cluster projects EU-wide availability of high quality “cloud ready” SSH tools and high quality SSH data Maximising reuse through Open Science and FAIR principles (standards, common catalogue, access control, semantic techniques, training) Empowering Users, Building Expertise Broadening the SSHOC network of user communities and empower them to a greater level of expertise in utilizing the SSHOC services, tools, data throughout the research lifecycle and according to the FAIR on- and offline trainings and training materials and an international cross-disciplinary trainer network Join our community K sshopencloud.eu t @SSHOpenCloud l /in/sshopencloud “ SSHOC pools, harmonizes and makes easily usable tools and services that allow to process, enrich, analyse and compare the vast heterogeneous collections of SSH data available across the boundaries of individual repositories or institutions in Europe. info@sshopencloud.eu ✉ SSHOC Partners Keep an eye out for the upcoming report on LIBER 2019 workshop Social Sciences & Humanities Open Cloud and future SSHOC trainings at sshopencloud.eu


Charlie J. Galicich Student of Digital and Computational Studies, Bowdoin College, Brunswick, Maine USA, cgalicic@bowdoin.edu Lost Possible Worlds: Toward a Narrative Approach to Computing Ethics Rather than an “a posteriori'' approach to addressing the ethics of developing digital technologies, in which movement toward more ethical practice or deployment of technology occurs only after a certain technology negatively impacts certain populations, technological development must take an a priori approach in which multiple ethical ramifications of the technology are considered beforehand. This paper illuminates the power that narratives can provide to such an a priori approach, providing imaginative variations of potential technologies that those seated at the development table may consider. Using Paul Ricœur’s view of narratives as “ethical laboratories,” I argue that narratives, whether fictions or case studies, effectively provide good ethical deliberation at technology development tables through offering specific, contextual possibilities of how technology can affect or fail certain groups or populations. The narrative approach suggests a method of embedding ethical principles through viewing predictive narratives as imaginative variations of technologies that are distanced from such ethical principles. I dissect the short story “Burning Chrome” by William Gibson as a narrative that successfully predicted ethical and social discussions of digital networks and their impacts to prove the value of narratives in making a more informed developmental decision and serving as a crucial method for an a priori approach to technological development. I then discuss Gibson’s predictions in the context of the “Metaverse” to demonstrate how this narrative can serve as a crucial component of a priori deliberation in the development of this new networked environment. Find below the link to this paper. Keywords: Computing Ethics, Technological Design and Development, Narrative, A Priori, Representation and Equitability https://zenodo.org/record/6595433#.YpYUwpNBx_Q Storytelling in the Computing Ethics Narratives Project: Narrative Ethics Theory in Practice The Computing Ethics Narratives (CEN) project is a multidisciplinary collaboration between professors at Bowdoin and Colby colleges located in Maine, US. The purpose of this website is to provide undergraduate computer science professors with narratives related to ethical uses and ethical failures of a variety of technologies so that lessons on ethics may be embedded seamlessly into their curricula. Narratives featured vary in length, medium, and place and time of origin, and are both nonfictional (journalistic articles, podcasts) and fictional (film clips, prose reading). Each narrative features two types of taxonomy: technologies involved, and ethical themes implicated. Additionally, each narrative comes with a brief summary of its contents and their relation to the taxonomic terms as well as discussion questions for learners. The website contains a search term mechanism, as well as filtered searching by ethical theme, technology involved, media type, among others. Future additions to the website ideally involve more lesson modules, an increased presence of globally diverse narratives, and the ability to create an account to accumulate and bundle one’s own selection of narratives. Find below the link to this website. https://www.computingnarratives.com/


Event reconstruction and tau neutrino appearance using CNNs for KM3NeT / ORCA T. Eberl*, M. Moser, S. Hallmann, J. Hofestädt, and S. Reck for the KM3NeT Collaboration Erlangen Centre for Astroparticle Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg KM3NeT / ORCA: a water Cherenkov detector in the deep sea several Mtons instrumented mass 115 strings 18 DOMs/string ~ 64k PMTs ~200 m ~20 – 23 m ~9 m Letter of Intent for KM3NeT 2.0, J.Phys. G43 (2016) no.8, 084001 Simulated sets of KM3NeT data, on the level of individual recorded photosensor signals above a set threshold, are binned in space and time, and then used as inputs for different Convolutional Neural Networks (CNNs). A complete data classification and regression chain using these CNNs is provided, cf. arXiv:2004.08254. The classification tasks consist of the rejection of background events, induced by atmospheric muons and random noise, and the separation of track-like and shower-like event topologies induced by different neutrino flavours and interaction modes. The regression CNN allows for the reconstruction of the neutrino interaction position, the neutrino energy and direction, and of their corresponding uncertainties. This analysis chain reaches a competitive and partly superior performance with respect to classical approaches pursued in KM3NeT. Gains in sensitivity of 10% and more can be reached compared to classical approaches in event reconstruction and classification. The CNN-based reconstruction results are then used to calculate the sensitivity of KM3NeT/ORCA to deviations from the standard-model expectations for the purely oscillation-induced flux of tau neutrinos from the atmosphere. Classification: Background suppression Recorded event data is dominated by atmospheric muons (several tens of Hz trigger rate) from cosmic- ray air-showers reaching the detector from above and pure-noise events due to 40K decays and biological background light. An efficient selection of neutrino events (mHz rate) is necessary for physics analyses. Fraction of atmospheric neutrinos having passed classical analysis pre-selection that survive the anti-muon cut vs. the contamination (fraction of atmospheric muons) in the final sample for the CNN and Random Forest (RF) anti-muon classifier. References: [1] http://github.com/KM3NeT/OrcaNet [2] http://www.tensorflow.org [3] http://keras.io KM3NeT is a distributed neutrino research infrastructure in the abyss of the Mediterranean Sea. One part of KM3NeT is the ORCA (Oscillation Research with Cosmics in the Abyss) detector. It is under construction and has been optimised to study the properties of neutrinos with GeV energies. Neutrinos are detected through the Cherenkov radiation induced by secondary particles generated in neutrino interactions in the water. To this end, several megatons of seawater will be instrumented with a 3D array of 2070 glass spheres (DOMs), each housing 31 3’’ PMTs. Classification: Event topology Neutrino interactions lead to different event topologies: Track-like: !" charged-current (CC) interactions create a final-state # that travels ~4m/GeV leaving a long track-like light signature. Shower-like: e with short radiation length ($eCC), % with short lifetime ($%CC) and neutral current (hadronic cascade only) events are localised around the interaction vertex. Top: Fraction of events classified as track (track score > 0.5) by the CNN as a function of neutrino energy. Bottom: Relative improvement using the CNN compared to the RF classifier in terms of classification distance between $#CC and the respective shower-dominated electron neutrino channels. Regression: Energy reconstruction Reconstructed energy vs. true MC neutrino energy for $eCC. The distribution is normalised to unity in each true energy bin. KM3NeT preliminary Default CNN Tau neutrino sensitivity KM3NeT preliminary CNN Non-appearance (=0) exclusion at 5s level possible within a few months of operation with full ORCA detector. Fit results robu


A REFERENCE SET OF RUMEN MICROBIAL GENOMES: THE HUNGATE1000 PROJECT. William J. Kelly*1 (bill.kelly@agresearch.co.nz), Graeme T. Attwood1, Peter H. Janssen1, Adrian L. Cookson1, Gemma Henderson1, Suzanne C. Lambie1, Rechelle Perry1, Kenneth Teh1, Nikola Palevich1, Samantha Noel1, Lynne A. Goodwin2, Nicole Shapiro2, Tanja Woyke2, Christopher J. Creevey3, Sinead C. Leahy1. 1AgResearch Ltd, Grasslands Research Centre, Palmerston North, New Zealand; 2DOE Joint Genome Institute, Walnut Creek, California, USA; 3Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, UK. Introduction. Acknowledgements. Research is funded by the New Zealand Government to support the objectives of the Livestock Research Group of the Global Research Alliance on Agricultural Greenhouse Gases. The information contained within this poster should not be taken to represent the views of the Alliance as a whole or its partners. Table 1. Comparison of rumen bacteria covered by culture information ,16S rRNA gene-based studies and genome sequencing. Phylum Cultured genera Cultured isolates Meta-analysis Hungate1000 Actinobacteria 11 (13%) 25 (17%) 41 (2%) 13 (6%) Bacteriodetes 6 (7%) 5 (3%) 907 (38%) 15 (7%) Fibrobacteres 1 (1%) 7 (5%) 16 (1%) 1 (0%) Firmicutes 45 (51%) 90 (62%) 1263 (53%) 186 (84%) Fusobacteria 1 (1%) _ 1 (0%) 1 (0%) Proteobacteria 20 (23%) 16 (11%) 64 (3%) 3 (1%) Spirochaetes 1 (1%) 2 (1%) 48 (2%) 2 (1%) Synergistetes 1 (1%) 1 (1%) 11 (0%) _ Tenericutes 2 (2%) _ 21 (1%) _ Development of the host-microbe relationship begins at birth and continues throughout adult life. The rumen is undeveloped at birth and incomplete information exists about the microbial diversity and colonization dynamics that result in a functioning rumen after weaning. It is conceivable that early-life microbial intervention represents an opportunity to manipulate the indigenous microbial populations of the ruminant and influence the lifelong environmental impact and productivity of the animal. Bifidobacteria are a major component of the microbiota of the ruminant digestive tract from birth until weaning. Two different species were sequenced and their genomes reflect different lifestyles. Genomes of six other rumen Bifidobacterium species are in progress. Bifidobacterium longum subsp. infantis AGR2137 encodes genes for the utilization of bovine milk oligosaccharides and also host-derived glucans. This strain resembles those isolated from human infants but lacks the capacity to utilize fucose and sialic acid substituted oligosaccharides. Bifidobacterium pseudolongum AGR2145 encodes genes for the utilization of a range of plant derived oligosaccharides including fructo-oligosaccharides, galacto- oligosaccharides, arabinoxylo-oligosaccharides and raffinose. This strain also encodes genes that specify sortase-dependent pili which may facilitate host-microbe interaction. Early life. B. longum subsp. infantis 2.27 Mb B. pseudolongum 1.99 Mb Diversity. Butyrivibrio is one of the main genera of rumen bacteria able to initiate the breakdown of hemicellulose and pectin found in plant cell walls. We sequenced and compared the genomes of several strains identified as Butyrivibrio on the basis of 16rRNA analysis. Figure 2 shows three main clusters of strains belonging to the genus Butyrivibrio, although these do not correspond to the three currently recognised species. Strains belonging to the genus Pseudobutyrivibrio form a separate cluster while one additional strain (AE2032) presumably represents a novel genus. The genomes of the Butyrivibrio strains range in size from 3.4 to 5.1 Mb and encode between one and seven multi-domain xylanases belonging to the GH10 and GH11 families. Figure 2. Comparison of the complete ORFeomes of Butyrivibrio genomes by functional genome distribution analysis (Altermann 2012, Front. Microbiol. 3, 48). Figure 3. Genome atlas of Ruminococcus flavefaciens AE3010. From outside to the centre: Genes on forward strand; Genes on reverse


muralir@cbs.mpg.de Discussion Conclusion Introduction Results The present study I would if I could but I can't: Different types of non-prototypical Actor arguments are processed in a qualitatively similar manner R. Muralikrishnan1, Matthias Schlesewsky2, Ina Bornkessel-Schlesewsky1,3 1Research Group Neurotypology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany 2Department of English and Linguistics, Johannes Gutenberg-University, Mainz, Germany 3Department of Germanic Linguistics, University of Marburg, Germany Language is a uniquely human ability and also one of the most complex human cognitive skills. It thus appears plausible to assume that there is an intimate relationship between the structure of human language(s) and basic characteristics of human neurobiology / neurocognition. One possible way of shedding further light on this relationship is to draw conclusions about possible "universals" of language by identifying cross-linguistically recurring patterns of lan- guage processing. These universals can be con- sidered potential candidates for links between language and cognition / neurobiology. A potential universal of language processing that has been identified in this way is the en- deavour towards unambiguous identification of the "actor", i.e. the participant primarily responsible for the state of affairs described (Bornkessel-Schlesewsky & Schlesewsky, 2009). The aim of the present study was to provide a more fine-grained characterisation of linguistic actorhood and its neurocognitive ramifications by examining the role of "volitionality" as a key feature of prototypical actors. Actorhood and Volitionality: A Cross-linguistic View In English, states of affairs such as (1) and (2) are encoded in a grammatically identical manner. Prima facie, this appears to suggest that linguistic structure is primarily attuned to encoding causality or the "starting point" of an event (MacWhinney, 1977): the protagonist, the old man, is treated identically whether he voli- tionally causes the event (example 1) or experi- ences it (example 2). In many other languages, by contrast, non-volitionality of an actor can be grammatically encoded, for example via dative case marking as in example (3) from Tamil: Similar structures occur in a range of other lan- guages, e.g. Hindi, Japanese, Icelandic, and Russian. This recurring pattern suggests that volitionality may be a key feature in the defini- tion of linguistic actors, since non-volitional actors are consistently flagged with additional morphological marking. Previous Neurocognitive Findings Previous studies examining the processing of non-volitional actors have focused on inanimate actors. In this regard, it has been demonstrated for several languages (including German, English, Chinese and Tamil) that inanimate actors engender an N400 effect in terms of event-related brain potentials (ERPs) and that this effect can be reduced neither to lexical differences between animates and inanimates nor to the infrequency of inanimate Actors (for an overview, see Bornkessel-Schlesewsky & Schlesewsky, 2009). However, inanimate actors are not only non- volitional but also lack other prototypical actor properties such as sentience and the capability for autonomous movement (Primus, 1999). Previous findings on inanimate actors are thus not suited to isolating the individual actor characteristic(s) that are particularly important for the cognitive definition of a prototypical actor. The aim of the present study was to isolate the neurophysiological response to non-volitional actors and to compare it to that for inanimate actors. To this end, we examined the processing of "dative subject" constructions in Tamil (cf. example 3). Participants listened to question-answer pairs such as those in Table 1. The context questions ensured that dative arguments would be inter- preted as actors rather than as indirect objects. All sentence types were also presented in a neu- tral c


The GALAH survey: Stellar chemical tagging using phylogenetic trees Traversing the tree structure The tree structure may be regarded as any other dimensional reduction and/or clustering technique with the diﬀerence that here we are given an exact path or relation between any two objects in our dataset. The path we are following is represented and explained by above image. At every step we assume that the objects have very similar chemical composition, but can have diﬀerent position and velocity through the Galaxy. To calculate full 6D position and velocity information, Gaia observation are used. This it is used to select object with similar kinematics and possibly ﬁnd stellar clusters. Phylogenetic representation A phylogenetic or evolutionary tree is a diagram that shows evolutionary relations among our data, where the position on the tree is based upon similarities and diﬀerences in the parameters that represent our observations. The trees were invented to show the evolution of the DNA sequence, where similarity is deﬁned as number of matching nucleotides (Lemey P., 2009, The phylogenetic handbook). Similarity between chemical composition of stars In our case distances between stellar abundances were determined in a mathematical way. We tested diﬀerent algorithms to compute distance between objects: - euclidean (best for clustering repeats) - manhattan - sorensen - canberra (had the smallest number of nodes between repeated observations). The only information that we used to determine the distance between stars were abundance values itself. They were standardized before the computation in order to remove the diﬀerences in mean and variance value between individual abundances. No additional information about physical properties or kinematic information was used. Determining properties of the tree Based on how the trees are constructed, we know that objects with identical or very similar chemical composition should be located together at the top of the tree (Jofrè et al. 2017, MNRAS, 467, 1140). Our selected set of observations has nearly 500 repeated objects and some members of known stellar clusters. With them we can estimate: - how many of the repeated observations are located together (14% in our case) - what is the expected average number of nodes between objects to be still considered to have similar composition (20 nodes in our case) - do cluster members have chemical composition similar enough to get clustered in one part of the tree Objective: The GALactic Archaeology with HERMES (GALAH) spectroscopic survey aims to provide stellar spectra for 1 million stars in four diﬀerent wavelength intervals. They are selected in a way that it should be possible to obtain more than 20 diﬀerent chemical abundances per star. Chemical composition of the stars can be used to ﬁnd (tag) members of long dissipated stellar clusters (De Silva et al. 2015, MNRAS, 449, 2604). Our method uses abundances of 13 elements (determined by Cannon (Ness et al. 2015, ApJ, 808, 1) method) to asses the similarity in chemical composition of stars. The similarity information is then used to construct a phylogenetic tree that gives us a visual representation of similarity in composition between individual stars. The tree is then traversed in a direction from tips to the root of the tree to further analyze kinematic relations between stars with similar chemical composition. Klemen Čotar*, Tomaž Zwitter* and the Galah team *Faculty of mathematics and physics, University of Ljubljana, Slovenia 1. 2. Datasets and ﬁltering For this analysis we used GALAH radial velocities and abundances determined by the Cannon (pipeline version 1.2) approach for more than 200k stars. The positions and proper motions are taken from the Gaia-TGAS objects, which greatly reduces the ﬁnal number of useful object as GALAH usually observes dimmer objects (12 < G < 14) that were not observed by the Hipparcos satellite. In order to select a reliable dataset, we applied multiple ﬁlters


Crop Transport information, Physiology & Signalling Knowledgebase - CropTiPS Integration of crop transporter data Rakesh David1, Cornelia M Hooper2, Ian R Castleden2, Matthew Gilliham1, Stephen D Tyerman1 1ARC CoE in Plant Energy Biology, University of Adelaide, SA, Australia ; 2ARC CoE in Plant Energy Biology, University of Western Australia, WA, Australia Membrane transporters are ubiquitous proteins that play crucial roles in physiology, metabolism and signalling through their function in translocating ions and small molecules across biological membranes. In plants, approximately 10-20% of the coding sequences encode transport proteins and can be functionally classiﬁed into channels, carriers and pumps (Figure 1) (Saier and Ren, 2006). Membrane transporters are the focus of extensive research in crop species (Figure 2) due to their importance in protecting plants from environmental stresses. However, this data remains dispersed and unconnected, with only limited attempts made to integrate the vast amount of molecular, physiological and biophysical information available. Here, we address this issue with the development of a database that contains a comprehensive collection manually curated experimental data related to transport proteins in major crop species. 1. Key features of CropTiPS 2. Experimental data classiﬁcation 4. Conclusion The CropTiPS repository connects physiology and biophysics of transporter proteins from four important agronomic species into a single online resource. The resource is an important step in developing new strategies to manipulate transporter function to ultimately enhance crop yield and resistance to key stresses Saier. MH Jr., Ren Q. Journal of Molecular Microbiology and Biotechnology (2006) Taiz. L., and Zeiger. E. Plant Physiology 5th Ed (2010). Channel protein Carrier protein Pump 1971-1975 1976-1980 1981-1985 1986-1990 1991-1995 1996-2000 2001-2005 2006-2010 2011-2016 0 100 200 300 Rice Wheat Barley Maize Published transporter studies • Knowledgebase of membrane transporters and signalling systems in rice, wheat, barley and maize. • Source is published literature and reference transport proteins. • Searchable for experimental curated data/transport protein. Taiz and Zeiger (2010) Plant Phys Transporter Transport properties Physiology Signalling Expression proﬁle Number of publications Published experimental data related to a transporter is categorized into three functional groups - Transport, Physiology & Signalling and Expression proﬁle. Experimental approaches used to study these functions are stored in a MySQL database. Experimental data is linked to the current genome annotations through the Ensembl Plants identiﬁer system. CropTiPS is linked to the AgriConnect platform that aims to connect high value crop data collections across key Australian agricultural research institutions. 3. CropTiPS user interface Query page Results tabular view Transporter Factsheet Expression Proﬁle Tissue Localization Transport properties Yeast expression Xenopus oocyte Phenotype Transporter Protein Interaction Protein modiﬁcations Physiology and Signalling Natural Variation Other heterologous system 67 experimental parameters Ensembl Plants Identiﬁer linking CropTiPS user Interface & query builder http://www.croptips.org/ AgriConnect portal https://agriconnect.latrobe.edu.au/ Transporter information can be retrieved using the query builder: • Choice of four crop species. • Quick search of text or protein identiﬁers. • Experimental information organised under functional categories. The results table offers compact view of protein hits matching the query and a summary of curated experimental data: • Results table is organised based on protein identiﬁers and annotation for each species. • Summarised experimental data and PubMed links to the related articles are provided for each protein. • Columns can be customized to display additional features such as Arabidopsis homology, length, isoelectric point, molecula


Strategy Removal mechanisms & efficiency INSIGHTS INTO NATURAL ORGANIC MATTER AND ITS REMOVAL BY ION EXCHANGE RESINS INDUSTRIAL CATALYSIS AND ADSORPTION TECHNOLOGY Elien Laforce, Emile R. Cornelissen, Pieter Vermeir and Jeriffa De Clercq Problem Statement Natural organic matter (NOM) • Originates from degradation and byproducts of living organisms and plants • Complex mixture (wide range of MW, hydrophobicity, functionalities) • Separation via Liquid Chromatograpy – Organic Carbon Detection (LC-OCD) into 5 fractions: • Biopolymers (1) – Humic substances (2) – Building blocks (3) – Low MW acids (4) – Low MW neutrals (5) Challenges • Complete removal not achieved by classical water treatment processes (e.g. demineralisation via ion exchange (IEX) → remaining NOM: biopolymers & low MW neutrals) • Increased risk on corrosion in steam cycle • Formation of disinfection by-products during drinking water production • Microbiological growth in water distribution systems Problem Statement pH effects Contact Jeriffa.DeClercq@ugent.be Elien.Laforce@ugent.be Conditioning procedure influences equilibrium pH and ionic strength, affecting removal efficiency and mechanisms – especially in batch mode experiments Selection of resin and conditioning procedure enables optimal removal of targeted NOM (fraction) Insight in removal mechanisms helps to optimize regeneration procedures Future work on (NOM fractions from) real surface water to investigate the effects of this more complex water matrix on NOM removal Conclusions Anion exchange resin (AER) conditioning Batch experiments: AER and NOM model compounds Weak Basic AER Strong Basic AER Set-up: 50 ppm model compound → BSA / dextran / alginate / HA / resorcinol 2 g resin OH- form (equivalent capacity Cl-form) 22h – 200 rpm – 25°C Analysis: pH – UV - TOC Resin Functionality MP62a WBA MP68a W/SBA (3.5/1) MP64a W/SBA (2.0/1) MP600a SBA (type II) MP500a SBA (type I) a Lewatit, Lanxess (NaOH) (HCl) (NaOH) (NaCl) Model compound SBA – OH- form NaOH conditioning pHeq. 9-10.5 SBA – Cl- form NaCl conditioning pHeq. 4.5-6 WBA – FB form NaOH conditioning pHeq. 6.5-8 WBA – Cl- form HCl conditioning pHeq. 3-3.5 Removal mechanism Removal a Removal mechanism Removal a Removal mechanism Removal a Removal mechanism Removal a BSA IEX - IEX + + + H-bond - n.a. - Dextran H-bond + + + n.a. - n.a. - n.a. - Alginate IEX, H-bond - / + IEX + IEX + H-bond, IEX + Humic acid IEX, H-bond, π- π + IEX + + H-bond, π- π + H-bond, π- π + Resorcinol H-bond, π- π, IEX + + + π- π + / + + π- π + + + π- π + + a removal efficiency (%) range coding: - : 0-20%; + : 20-60%; + + : 60-80%; + + + : 80-100%1 M solutionLow electrolyte Effluent Effluent • Aromatic NOM: π- π interactions (all counter ion forms) • Carboxyl groups: H-bonding with Cl- WBA & OH- SBA • Hydroxyl groups: H-bonding with OH- SBA • Charged (anionic) NOM: Ion exchange • W/SBA resins: behaviour depends on ratio weak versus strong basic functionalities • Release of ions in subsequent batch experimtent → ionic strength ↑; pH ↑or ↓ References: Laforce E, et al. Revealing the effect of anion exchange resin conditioning on the pH and natural organic matter model compounds removal mechanisms, Journal of Environmental Chemical Engineering, (2022)


Towards a community-endorsed data steward description for lifesciences Mijke Jetten1, Inge Slouwerhof1, Salome Scholtens2, Jasmin Böhmer3, Marije van der Geest2, Christine Staiger4 & Celia W.G. van Gelder4 (1) Radboud University, (2) UMC Groningen, (3) UMC Utrecht, (4) DTL (Dutch Techcentre for Life Sciences)/ELIXIR-Netherlands Contact: Mijke Jetten, m.jetten@ubn.ru.nl Background 1 Responsibilities examples of activities/tasks Results • Embed data steward roles and competencies in a formal function proﬁ le including function levels (junior, senior), and add formal job evaluation and grading • Add discipline-speciﬁ c knowledge, skills and abilities to the function description • Develop a self-assessment tool for data stewards to assess responsibilities, tasks and competencies, combined with navigating directions to training and materials • Use the matrices and the (self-)assessment tool to assess data stewardship roles in organisations • Develop certiﬁ ed training for data stewards T e project originally focused on the lifesciences. However, the outcomes show to be relevant for other domains as well. Starting September 2019, the project will be continued in a one year NPOS (National Platform Open Science, the Netherlands) funded project on professionalising training in open science and data stewardship. T is ZonMw project (Aug. '18 - Sept. '19) has delivered a function description for three data steward roles: policy, research and infrastructure. For each data steward role, competence areas with tasks were deﬁ ned, i.e. 1) policy/strategy, 2) compliance, 3) alignment with FAIR, 4) services, 5) infrastructure, 6) knowledge management, 7) network, and 8) data archiving. Table 1 shows a section of the matrices (full version via Zenodo). Tasks were translated into learning objectives based on Bloom (example shown in table 2). In two workshops (June '19) with Dutch data stewards (± 60 participants), existing and desired training was mapped. T ese mappings are included in the ﬁ nal report. Policy/strategy Responsible for advice on and development, implementation and monitoring of a RDM policy and strategy for the research institute, which includes the complete research data life cycle and supports FAIR data and Open Science, in alignment with the relevant stakeholders and within ﬁ nancial and legal constraints, within the institute and in the context of the institute. T e policy is the basis for (project) DMPs. Responsibility Compliance Skill/ability - Translate RDM policy and legislation and codes of conduct with regard to research data to practical implications and guidelines that researchers can understand. Learning objectives - List relevant legislation, ethical principles, and codes of conduct for RDM (remembering). - Examine and list the practical implications of legislation, ethical principles, and codes of con- duct with regard to research data (analysing). - Translate RDM policy and legislation, ethical principles, and codes of conduct with regard to research data to researchers (applying). - Create guidelines and procedures based on legislations, ethical principles, and codes of con- duct with regard to research data (creating). • Develops, implements and monitors the institute's RDM policy. • Advises the institute's management on short- and long-term actions to advance RDM in the institute. • Assesses and monitors the institute's time and ﬁ nancial investments in relation to the institute's needs for RDM. • Explores new needs, opportunities and trends in RDM. This project is funded by the ZonMw Personalised Medicine Programme under dossier number: 80-84600-98-3007. Compliance Responsible for compliance of the RDM policy to the Netherlands Code of Conduct for Academic Practice, the Netherlands Code of Conduct for Research Integrity and the General Data Protection Regulation (GDPR), as well as continuous alignment with legal and ethical standards. • Ensures compatibility of the RDM policy and monitors compliance. • Contacts


Introduction HD-tDCS of the dorsolateral prefrontal cortex A: Electrode position B: Simulated electrical field Stimulation The effect of transcranial direct current stimulation on the interplay between executive control, behavioral variability and mind wandering: A registered report - Mind wandering (MW) is a mental phenomenon we humans experience on a daily basis - High-Definition transcranial direct current stimulation (HD-tDCS) can modulate neuronal excitability and potentially lead to changes in cognition - This study aimed to replicate a previous finding of reduced mind wandering using HD-tDCS over the dorsolateral prefrontal cortex (DLPFC) in adult humans (Boayue et al., 2020) - Additionally we investigated if we could find neurophysiological markers of MW, and whether they were influenced by HD-tDCS, by recording electroencephalogram (EEG) and pupil size (pupillometry) Andreas Alexandersen aal077@uit.no +4791854015 Cognitive task and measured variables Finger-tapping random sequence generator task (FT-RSGT) - Press two buttons in a random order - Match every button press to a rhythmic tone - The tone is presented for 75ms, with an interval of 750ms - Behavioral variabiliy Standard deviation of inter-tap intervals - Approximate entropy Randomness of tapping pattern - Self reported mind wandering score Sampled by thought probes Where was your thoughts focused right before this question appeared? 1 2 3 4 Clearly on-task Clearly off-task Results Andreas Alexandersen1, Gábor Csifcsák1, Josephine Groot1, Matthias Mittner1 Registered hypotheses 1. Expected propensity to mind-wander to be reduced in the real relative to the sham stimulation group. 2. We expect behavioural variability (BV) to be increased prior to mind wandering when compared to on-task periods. 3. We expect the utilisation of executive resources (AE) to be reduced prior to mind wandering. 4. We expect an interaction effect of BV and AE such that the BV-MW effect is more pronounced during periods of high AE. Statistical model Bayesian hierarchical ordered-probit regression model Dependent variable: Thought-Probe responses Predictors: Behavioral variability (BV), Approximate entropy (AE), BV x AE, Trial (probe number), Group (sham vs real stimulation), Block (baseline vs stimulation) and Group x Block - Block nested in subject - Posterior mean and high density intervals of the regression coefficient as well as evidence ratios Methods 1Institute for Psychology, The Artic University of Norway (UiT) Baseline Stimulation Sham Offline Instructions and preparing equipment Training, miniquiz and baseline Stimulation or sham protocol Offline protocol Questionnaires and removing equipment Approximately 90 minutes total 10 minutes, 10 probes EEG & Pupillometry 800 trials N=100 10 minutes, 10 probes EEG and Pupillometry 800 trials (~70 oddballs) N=100 20 minutes, 20 probes HD-tDCS and Pupillometry 1600 trials N=50 20 minutes 20 minutes 20 minutes 10 minutes 10 minutes N=50 20 minutes, 20 probes HD-tDCS and Pupillometry 1600 trials Design Apparatus EEG A) Mismatch negativity waveforms for sham and real HD-tDCS groups B) Occipital alpha power spectra for the sham and real HD-tDCS groups C) Individual mismatch negativity amplitudes D) Posterior occipital alpha power values for sham and real HD-tDCS groups Pupillometry Predictors and coefficientsfrom the two Bayesian hierarchical linear regression models with tonic (left) and phasic (right) pupil responses as dependent variables C) Frequency (Hz) Time (ms) Power (µV²) 10 5 0 -800 -400 400 -1200 -1 0 1 Fz 5100 5400 high low Power (µV²) A) Voltage (µV) Time (ms) -100 0 100 200 300 400 0 1 2 3 4 -1 Difference waveform (Fz) Standard (Fz) Oddball (Fz) Difference waveform (POz) Difference waveform (Oz) B) Frequency (Hz) Power (µV²) 0 2 4 6 8 10 12 14 16 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 Difference waveform On-task Mind wandering POz/Oz 3.6 4.8 MW OT Power (µV²) A) Mismatch negativy in the expected time window B) Increased occipital alp


All-sky Wide Infrared Survey Explorer (AllWISE) DR3. For this poster, we focus on Abell 2485 cluster field, with the following details: As a final step, we manually checked for candidates against the NASA/IPAC Extragalactic Database to look for any redshif t information , o r whethe r a sourc e exist s i n othe r optical/ IR catalogues. Our final HzRG candidate list contains a total of 331 sources: 229 USS sources and 102 potential HzRG candidates with n o spectral index information. 5σ Searching for high-redshift radio galaxies with the MeerKAT Galaxy Cluster Legacy Survey 1, 2 1, * Centre for Radio Astronomy Techniques and Technologies, Department of Physics and Electronics, Rhodes University, Makhanda, South Africa South African Radio Astronomy Observatory, Fir Street, Observatory, South Africa cossav25@gmail.com 1 2 Vasco Cossa , Kenda Knowles * Abstract MGCLS data Exploring the high redshift Universe is critical to our understanding of cosmological and astrophysical processes. This poster presents a search for high-redshift radio galaxies (HzRG) using 1.28 GHz da ta fr om t he MeerK AT Gala xy Clust er Lega cy Surv ey (MGCL S). Thro ugh rigor ous select ion criter ia, we identif ied 331 HzRG candid ate s in the A bell 2485 fi eld. This s hows that the MGCLS d ata's sensit ivit y and band width ma ke it a s trong to ol for discovering potential HzRG candidates in the Southern sky. The MGCLS DR1 products provide a compact source catalogue for 115 fields. Utilizing Knowles e t al . (2021) , w e filte r fo r field s wit h goo d dynam ic range and astrometry corrections. Subsequently, we narrow down to 39 fields with complete coverag e in both Dark Energy Camera Legacy Survey (DECaLS) DR10 and Methods and results for Abell 2485 7170 RMS Noise Step 1: Signal-to-noise and angular size requirements Abell 2485 field poses few bright-source artifacts, however, the image noise does vary across the field due to the primary bea m correction, with the local RMS noise increasing away from t he ima ge centr e. Rath er th an implementi ng a fix ed fl ux dens ity cut, we apply a signal-to-noise ratio (SNR) restriction using the fi tted flux den sity ve rsus its associ ated uncertai nt y. We simultaneously apply an angular size restriction. Step 2: Multi-wavelength cross-matching This study highlights the potential of MGCLS DR1 data for identifying HzRG candidates. Among the 115 fields, 39 offer a goo d dynami c rang e an d comprehensiv e coverag e i n DECa LS and AllWISE. Expanding the study to these fields could yield more candidates for spectroscopic follow-up. Likelihood ratio method We use the likelihood ratio (LR) method, introduced by Sutherland and Saunders (1992), to cross-match our radi o catalo g wit h multi-wavelengt h catalogues , an d t o exclu de optical and infrared counterparts as HzRGs candidates. The LR is defined as the ratio of the probability that an optical source is the true counterpart, to the probability that the sam e source is a spurious alignment, i.e., q(m) is the expected magnitude distribution for the true counterparts; f(r) is the probability distribution function of the positional uncertainties in the involved catalogues; n(m) is the surface density of the unrelated background objects with magnitude m. Step 3: Ultra-Steep Spectrum (USS) selection We are currently exploring the now-established correlation between galaxy redshift and radio spectral steepnes s (Röttgering et al., 1994). Step 4: Manual cross-checking with NED and Vizier Conclusion References 3512 3046 SNR Angular size smaj ≤ 10'' Fig 1. MGCLS Abell 2485 field with DECaLS and AllWISE coverage Fig 2. Angular separations between the positions of radio sources in the Abell 2485 and their DECaLS counterparts. In each panel, the red line shows the normalise d Gaussian distribution Fig 3. MGCLS Abell 2485–DECaLS cross-match results. The vertical dashed line indicates the optimal threshold LR > 0.1 Fig 4. Angular separations between the positions of ra


26 de septiembre de 2024 Boletín Informativo el ornitorrinco tachado. revista de la facultad de artes uaeméx ornitorrincotachado.uaemex.mx Existen diferentes tipos de publicaciones que se usan para manifestar diferentes aportaciones a la red de arte, conocerlas permite crear a favor de ellas para difundir mejor el trabajo y la obra artística. fanzines/autopublicaciones Creada como un medio de expresión directo, pretende ser un fin en sí mismo de creación artística y de divulgación e inclusión de cual- quier tipo de temas (literarios, musicales, de cine, políticos, sociales, artísticos, etc.) que invita a idear tramas narrativas que son intere- santes para un tipo de lectores específicos, usando mano y reflexionando a su vez sobre el diseño gráfico, el dibujo y la escritura. revistas no académicas de arte Son las revistas que establecen y siguen sus propios criterios de publicación, no están bajo el brazo de los lineamientos requeridos por los índices, sino que publican y crean a partir de las aportaciones artísticas que desean hacer. Tratan sobre el mercado, la historia, la crítica, las noticias y la información sobre el arte, su práctica, estética y política. Los requisitos para publicar en ellas suelen ser menos rigurosos que en una revista indexada. revistas no indexadas Publicaciones que siguen normas de una revista indexada, pero que no pertenecen a ningún índice, cumplen con los estándares de calidad dándose libertades creativas que no les permiten formar parte de las bases de datos. Publican manifestaciones artísticas que no cumplen con la presentación para ser una aportación académica. catálogo de exposición y/o de obra Manifestación en formato libro que suele ser publicada por el propio artista, abarca los aspectos técnicos, históricos y/o ambientales de una obra o colección. Contiene fotografías y diagramas que brindan la máxima información sobre la obra y amplían el conocimiento que se tiene, muchas veces es detras de escena que muestra desde la concepción de la idea hasta la elaboración de la misma. fuentes de consulta Espejo, B. (2012). ¿De qué hablamos cuando hablamos de libro de artista? El Español. https://shorturl.at/bi- DEG Libreta de Bocetos. (2021). Revistas de arte y arte de revistas. Libreta de Bocetos. https://shorturl.at/d- grH5 Mikucionyte, Z. (2014). Catalogación de obras artísticas: Análisis de problemas y mejoras en el fondo de arte y patrimonio de la Universidad Politécnica de Valencia. http://shorturl.at/dkmnz Osorio, A. (2018). Sistematización praxeológica: El fanzine como escritura contrahegemónica para la comunicación, el desarrollo y el cambio social. https://doi.org/10.15332/tg.mae.2018.00497 Otras publicaciones


Legal, Constitutional and Ethical Principles for Mandatory Vaccination Requirements for Covid-19 General Principles Statutes are better than regulations • Schemes should be provided in statutes instead of executive rules (i.e. regulations). • The making of laws should follow three principles: – Consultative – last a minimum of 4-6 weeks and involve sub-national governments, opposition parties, trade unions, academics, the public, and others. – Transparent – the consultation and government responses should be published well before the introduction of any bill. – Clear – legislation should not leave major policy questions for interpretation by government departments or private actors. • Temporary or fast-tracked legislation should be replaced promptly with laws following the three principles outlined above. Protection of rights through equality and proportionality • Human rights protections are not absolute, but restrictions should adhere to the principle of proportionality (see Box 1). • A proportionality test requires any scheme to: – Pursue the clearly defined and legitimate aim of protecting public health and/or securing greater freedoms for others. – Be necessary and minimally impairing in relation to the pursuit of the legitimate aim. – Strike a fair balance, with penalties imposed for non-compliance relevant to the strength of the requirement of the scheme. • Schemes should allow fair access to vaccinations, i.e. by not discriminating against individuals based on protected characteristics. Exemption for some, engagement with others • Exemptions legally excuse groups from compliance with schemes, but alternative measures (e.g. testing) can be required. • Consultation with a range of public bodies should guide exemptions. • Legal systems vary, but exemptions for religious beliefs/freedom of conscience are not generally required by human rights law. • Reasonable vaccine hesitancy (see Box 1) should be met with constructive engagement and education but not exemptions. Information... This briefing document summarises a more detailed set of principles (available here) signed by 50 academics within The Lex-Atlas: Covid-19 (LAC19) network (more information on the LAC19 project can be found here). The point of the principles is to set out best or ideal practice for the design and implementation of mandatory vaccination schemes for Covid-19. To achieve this, the principles address the legal, constitutional, and ethical dimensions of mandatory vaccination requirements. Five Key Points 1. Well-designed mandatory vaccination schemes are both compatible with human rights AND have the potential to advance human rights. 2. Schemes should be regulated by statute, rather than executive rules. 3. Extensive consultation with a range of groups is essential for an effective scheme. 4. Constructive engagement with reasonable vaccine hesitancy should be part of any scheme, but it does not need to lead to exemptions. 5. Strong oversight is needed to ensure schemes do not depart from their stated aims. Box 1: Key terms Mandatory vaccination requirements Any law making vaccination compulsory, or any public or private vaccination requirement for accessing a venue that cannot be avoided without undue burden. Principle of proportionality The principle that the burdens placed on an individual when complying with a mandatory vaccination scheme are proportional to the aims of the law. The greater the burden, then the higher the bar of proportionality is set. Reasonable vaccine hesitancy Reluctance to take a vaccine resulting from distrust in dealings between the state and a given group or community. Reasonable vaccine hesitancy is often prevalent in groups and communities who have experienced a history of state-complicit persecution, discrimination, marginalisation, or neglect. Particular Sectors Workplace schemes must be clearly regulated • International and domestic law recognises the right to safe and healthy workplaces. • Occupational schemes should:


THE EFFECT OF DIURNAL SEA SURFACE TEMPERATURE WARMING ON THE MEDITERRANEAN SEA HEAT AND WATER BUDGET S. Marulloa,P. Minne/b, R. Santoleric , V. Artalea a Italian Na)onal Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Frasca) Research Center, Italy bRosenstiel School of Marine & Atmospheric Science, Miami, USA cItalian Na)onal Research Council (CNR)-‐ Ins)tute of Atmospheric Sciences and Climate (ISAC), Roma, Italy) ABSTRACT Diurnal Warming and Mediterranean Heat Budget Data and Methods ValidaDon The diurnal cycle in sea-‐surface temperature is reconstructed by combining numerical model analyses and satellite measurements in the context of the Op)mal Interpola)on theory. The method (Marullo et al., 2014) is applied to reconstruct hourly Mediterranean SST ﬁelds during 2013 using data from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) and Mediterranean Forecas)ng System analyses provided by the Copernicus Marine environment monitoring service. The Diurnal OI SST (DOISST) ﬁelds reproduce well the diurnal cycles including extreme diurnal warming events as measured by driQing buoys. The evalua)on of DOISST products against driQer measurements results in a mean bias of −0.1°C and a RMS of 0.4°C. We evaluate the impact of resolving the SST diurnal cycle on the heat budget of the Mediterranean Sea over an en)re annual cycle. The mean annual diﬀerence in the heat budget derived using SST’s with and without diurnal varia)ons being -‐4 Wm-‐2 with a peak monthly diﬀerence of -‐9 Wm-‐2 in July-‐August. Input data: ü Satellite data: hourly SEVIRI SST ﬁelds, distributed by OSI-‐SAF (Ocean and Sea Ice -‐ Satellite ApplicaCon Facility) ü CMEMS (Copernicus Marine Environmental Monitoring Service) Mediterranean ForecasCng SST Analysis Method: Diurnal OpCmal InterpolaCon SST method which combines numerical model analyses and geostaConary satellite data (Marullo et al. RSE, 2014). Output: L4 Hourly reconstructed SST maps Monthly Bias (Sat – In Situ) DriSers PosiCon (2013 Data) SEVIRI (Measured) SST ReconstrucDon (sat-‐buoy) -‐0.03 °C -‐0.13 °C STD 0.47 °C 0.39 °C Corr. Coef. 0.9957 0.9953 N. of matchups 26149 13846 Diurnal Warming in the Mediterranean Sea A Diurnal Warming (DW) Event in The Mediterranean Sea on June 18° 2013. Figure (a) shows the maximum day – night temperature excursion during this day. DW events require sustained low winds under favorable insolaCon condiCons. The DW pa/ern in ﬁg (a) highlights this eﬀect downwind of the Crete Island and on its east and west side. Diurnal Warming Event are very frequent in The Mediterranean Sea. Figures below (a), (b) and (c) show the number of occurrence of Diurnal Warming Event with day-‐night diﬀerence above 1, 2 and 3 K respecCvely during 2013 (a) ba ) (c) Spa$al distribu$on of the number of DW events with amplitude greater than 1°C for each month of the year 2013. The impact of the SST Diurnal Warming on air-‐sea Heat Fluxes. Diﬀerence between ocean heat loss es$mated using founda$on SST or hourly DOISST Radia$ve and Turbulent Heat Flux formulae: monthly spa$al distribu$on (to the right) and monthly mean (below) April 9 2015: Sea Surface Temperature The COSIMO 2015 Experiment 1. CTD Casts 2. Near surface Thermistor Measurements 3. Meteo data 4. M-‐AERI conCnuous skin SST Measurements (SST retrieval uncertainty <<0.1 K) Hourly CTD Casts During the COSIMO Experiment ( from 2015/04/08 22:14:00 to 2015/04/10 07:59:00) GOTM Run (25 cm verCcal resoluCon) using in situ iniCal condiCon and Meteo data acquired on board (no SST assimilaCon) The COSIMO Diurnal Experiment was conducted in the north AdriaCc Sea from 2015/04/08 22:14:00 to 2015/04/10 07:59:00 The M-‐AERI Mounted on Italian R/V Minerva Uno CTD Casts Acknowledgments This research was supported by the Italian Ministry of Foreign Aﬀairs and InternaConal CooperaCon in the framework of the DeclaraCon Italia – United States 2014-‐2015. The research was also supported by MyOcean 2 a