Tau Neutrino Appearance with 8 Years of IceCube Neutrino Data Étienne Bourbeau, for the IceCube Collaboration Niels Bohr Institute etienne.bourbeau@icecube.wisc.edu References [1] S. Parke, M. Ross-Lonergan. Phys. Rev. D, 93, 113009 (2016) [arXiv:1508.05095] [2] Aartsen et al (IceCube Collaboration). JINST 12 P03012 (2017) [arXiv: 1612.05093] [3] Aartsen et al (IceCube Collaboration). Phys. Rev. D, 99 032007 (2019) [4] A. Fedynitch. Matrix Cascade Equation. https://github.com/afedynitch/MCEq [5] G.D. Barr et al. Phy. Rev. D, 74, 094009 (2006) [arXiv: astro-ph/0611266] The IceCube and DeepCore Detectors Neutrino Oscillations in IceCube Unitarity • Significance based on likelihood Test Statistic : 𝑈!" 𝑈!# 𝑈!$ 𝑈%" 𝑈%# 𝑈%$ 𝑈&" 𝑈&# 𝑈&$ + + ² ² ² = 1 + + ² ² = 1 Analysis Principle Digital Optical Module (DOM) • 30 cm photomultiplier tube + digitizer encapsulated in a pressure vessel • Designed to detect Cherenkov radiation from particle interactions in the ice • Elementary unit of the detector 0 m 1450 m 2450 m IceCube Neutrino Observatory [2] • Deployed to detect neutrinos of astrophysical origin • Consists of 86 strings of sensors buried underneath the South Pole The DeepCore Sub-Array • 8 strings of high quantum efficiency DOMs • 10 Mton fiducial volume • ~ 500 sensors in closer spacing • Rest of IceCube is used as a veto region Systematics Uncertainties: Analysis treats uncertainties as nuisance parameters in the fit: • Neutrinos and muon spectral index • Atmospheric Neutrino Flux ([4], [5]) • Quasielastic and resonant form factor • Deep Inelastic scattering cross section • Earth Model (neutrino propagation) • Dom Efficiency • Refrozen ice parametrisation • Bulk Ice absorption & scattering Reconstruction of neutrino events • Charge and time of hits from all DOMs are fed into a likelihood-based event reconstruction algorithm • 𝝊𝝁,𝑪𝑪interactions have mostly track- like profiles, while 𝝊𝒆,𝑪𝑪, 𝝊𝝉,𝑪𝑪and all 𝝊𝑵𝑪interactions produce point-like (ie cascade) profiles • Neutrino oscillations constitute the only experimental evidence of non- conformity to the Standard Model (potential evidence for new physics) • It describes transitions between flavor states to mass states Sensitivity Projections Event Selection Production (as 𝝊𝝁‘s) Propagation (as superpositions of 𝝊𝟏‘s, 𝝊𝟐 ) 𝐬and 𝝊𝟑’s) Detection (as 𝝊𝒆‘s, 𝝊𝝁) 𝐬and 𝝊𝝉’s) • PMNS unitarity constraints are weakest for the third generation of neutrinos, an area where IceCube is highly sensitive [3] • Non-unitarity could indicate that the 3x3 PMNS matrix is a subset of a larger N x N mixing matrix • IceCube operates in energy ranges were 𝝂𝝉,𝑪𝑪cross- section is much less kinematically suppressed than in accelerator experiments • We count the number of neutrinos detected per particle ID (ie flavor), energy and zenith bins • We then compare the result to our expectations from standard oscillation • Tau neutrino fraction is fit as a statistical excess of events in non-track events (ie we don’t identify individual tau neutrino events) Cascade-Like Events Mixed Events Track-Like Events Neutrinos from cosmic-ray interactions in the atmosphere are reconstructed with associated energy and direction (proxy for distance travelled). They allow IceCube to cover a wide range of oscillation baselines (~10 to 10000 km, and 5 to 300 GeV) • We perform a multi-dimensional fit of a Monte-Carlo template to our data. The fit includes both physical (𝜟𝒎𝟑𝟐 𝟐, 𝜽𝟐𝟑, tau normalization 𝑵𝝉) and nuisance parameters to handle systematics. • Ratio of a scenario with 𝑵𝝉= 0.5 w.r.t standard oscillation paradigm −2 𝐿𝐿𝐻+,-./01. 𝐿𝐿𝐻2!34 The Sample in Numbers • Consists of eight years of detector data (mid-2011 to mid-2019) • Several cuts applied to eliminate atmospheric muons and self-triggered noise events (our main backgrounds) • Use of new machine-learning classifiers (boosted decision trees) to perform final- level muon rejection + PID classification • Yields a large statistics sample of neutrinos that well suited for 𝝊𝝁disapp


Opening mathematical Astronomy by Searching for Orbital Constant that Hidden in variable star cylinder on earth ID 89 1, 2.Department of physics, Dambi Dollo University,Dambi Dollo,Ehiopia Abstract The study of astronomy is needed to integrate variable star with mathematics and science education. In this study we examined the cylinder constant hidden in the formula of the volume of any circular cylinder. Volume of the cylinder(V)= r2h.V= .This Study and digging out the mystery part of a cylindrical coordinate system needed to understand the origin and the nature of celestial (Astronomical) coordinate system that allows Oromo Educators to calculate Oromo Calendar and register it on UNESCO. Keywords:cylinder,height,diameter,circumference, volume, variable constant. 2.Introduction In the history of science, physical science in the geometry, optics, mechanics and astronomy compiled and allowed scientists to develop Physics.This work focused to open the variable star physics experiment in the geometry. Variable stars talk to human kind through their variability. As explained in Serway (2004), Archimedes was the first to compute accurately the ratio of a circle’s circumference to its diameter. 3. Research Question: Can we find a hidden "cylindrical constant" related to variable cylindrical materials 4.Methods: Measurements were taken using local and cultural materials like variable rings, Rope, Qubeelaa Ce'umsaa Figure1.Variablering&Qubeelaa Ce'umsaa 5.Result and Discussion During the variable constant training for every one we have measured the following data is using variable ring. Table 1 No C D 1 51 16.2 The average value of π = = = 3.148 % error = x100%= 0.164% Table 2 .The variable data of the experiment Qubeelaa Ce’umsaa No C D π 1 125.9 40 3.1475 2 126.1 40.1 3.14463804 3 126 40. 3.15 4 126.1 40.1 3.14463804 5 126 40 3.15 Πaverage= =3.147355376 %of error = = 0.1432697% If the percentage error is very small (in variable ring) 0.164% our achievement is 99.836% true. The percentage error of Qubeelaa Ce’umsaa 0.1433% our achievement is 99.867% true. The materials which we use called variable ring and Qubeelaa Ce’umsaa the percentage error is very small which means our experimental error is nearly to the constant or π. π is one of the cylinder constant on the cylindrical objects on the earth. The ratio of volume of cylinder to the product of its circumference, Diameter and height which yield us constant . show the = V = r 2 h ,Since r= ,V= 2 H .Divide both sides for CDH, = Therefore 0.25 is the numerical value of cylinder constant or cylinder geometric pattern. 6.Conclusion We discovered that the origin of π is not solely confined to circular objects, but also extends to ellipses.. The result suggest that the ratio of the volume of a cylinder to the product of its circumference, Diameter, and height is a hidden mathematical constant whose value equal to 0.25.These findings, presented at IAUGA2024, shed light on previously overlooked aspects of physics and geometry. Our work at Dambi Dollo University aims to innovate the study of variable star physics within the context of ancient geometry,contributing the advancement of modern astronomy and sharing our discoveries with the IAU community. 7 .References 1.A text Book of Analytical Geometry of Three Dimensions, by P.K. Jain and Khaleel Ahmed, Published by Wiley Eastern Ltd., 1999.Khaleel Ahmed, Published by Wiley Eastern Ltd., 1999 .2.A text book of Mathematics for BA/B.ScVol 1, by VKrishna Murthy & Others, Published by S. Chand & Company, New Delhi. Delhi.3Archimedes' Secret, transcript ofhe BBC television program Horizon broadcast 14 March 2002;


Barium daughter tagging using single molecule ﬂuorescence imaging Austin D McDonald, Fernanda Psihas For the NEXT Collaboration Currently, the only known method to determine the Majorana nature of the neutrino is a direct observation of neutrinoless double beta decay. The NEXT experiment employs a series of high-pressure xenon gas TCPs with energy resolution of ~0.7% FWHM at the Q value. The gas phase allows for accurate track reconstruc- tion. Sensitivity to the topology allows for discrimination between back- ground and signal. The theoretical spectrum for the two neutri- no and no neutrino spectrums. 2D diagram of the NEXT detector. Example of NEXT-new data events. The difference between signal and background are the large depositions at the end of electron tracks (two for signal). N N P P e – e – N N P P e – e – ν– ν– Ton-scale neutrinoless double beta decay (0νββ) experiments expect only a few events per year. Radioactive backgrounds in the form of alpha, beta, and gamma decays can mimic the double electron signal. Barium is not produced by any of the backgrounds to ββ decay. Edan Bainglass, Frank Foss, Ben Jones, David Nygren, Pawan Thapa Exploiting a bio-chemistry technique to enhance sensitivity to ββ decay !"#$%&'&"() !"#$%&'()*+,-)- *%+(#,-.$/'&"() ./01 ./01 We employ ﬂuorescent dyes to do Single Molecule Fluorescent Imaging (SMFI). The dye molecule con- sists of a ﬂuorophore, which naturally de-excites via ﬂuoresence, and a receptor, which quenches the ﬂuorescence. The dye molecules are non-ﬂuorescent in the ab- sence of ions. When bound to an ion, the energy levels for ﬂuorescent de-excitation become avail- able. The receptor may be ion speciﬁc and can be coupled to different dyes. Development of a dye for use in high pressure xenon gas is currently underway, in collabora- tion with the department of chemistry at UTA. This custom dye is based on PSMA, a molecule know to have high sensitivity to Ba++, and a good candidate for use in xenon gas. Our SMFI implementation may also allow for super-resolution reconstruction, since it local- izes molecule positions to within a few nm. FLUOROPHORE RECEPTOR O O O Cl O Cl HO CH3 N N CO2H CO2H CO2H CO2H FLUOROPHORE RECEPTOR O O O Cl CH3 O O O N N O O O O O O Cl HO Baa++ Total Internal Reﬂection Fluorescence (TIRF) utilizes evanescent wave excitation to excite the molecules that are a few wavelengths away from the surface. Left: Dye molecule used in our ﬁrst demonstration of single molecule barium sensitivity. Top: Un-chelated molecule (not ﬂuorescent). Bottom: Molecule chelated to Ba++ ion (ﬂuorescent). Right: Single molecule imaging setup at UTA. The 498 nm excitation light is delivered by a colimated laser, focused on the objective’s backfocal plane. The ﬂuores- cence emmision is collected by the CCD. The objective is used to convert the focused laser light into parallel rays at the critical angle. Single barium di-cation sensitivity has been achieved utilizing the method of Single Molecule Fluorescent Imaging (SMFI) described above. Solutions are made with a speciﬁc pH, and diluted to small ion concentration. Trace ions are then removed with a chelation agent. The molecules are immoblized for imaging by trap- ping them in a matrix. Typical TIRF image, showing single molecules located at various depths in the sample. Pixel sixe is 160 nm. The dye’s ﬂuorescence is diffraction limited, this allows for super-resolution reconstruction which localizes the molecule to ~2nm . TIRF was used to image near the surface and minimize ﬂuorescence from deep in the sample by means of evanescent wave excitation. Single barium ion ﬂuorescent tra- jectory, demonstrating the abrupt single step photobleaching. The analysis of barium rich vs no barium samples showed a signal over back- ground at the 12.9 sigma level. Single molecules are identiﬁed by the characteristic photobleaching process, where the molecule transitions to a non-ﬂuorescent state in one step. First demonstration of single Ba++ i


Services OPERAS versteht sich als verteilte europäische Forschungs infrastruktur, die die offene Wissenschaftskommunikation in den Geistes- und Sozialwissenschaften unterstützt. OPERAS-GER ist ein Projekt zur Vernetzung von OPERAS in der deutschen Wissenschaftslandschaft. Kontakt https://operas-ger.hypotheses.org/ www.operas-eu.org @OPERAS_GER Zertifizierungs- service Entwickelt im Projekt: Metrics-/Altmetrics Service Entwickelt im Projekt: Discovery Service (GOTRIPLE) Entwickelt im Projekt: Research for Society Service Entwickelt im Projekt: Weitere Services sind in Planung Publishing Service Portal Entwickelt im Projekt: Über 50 Organisationen aus mehr als 15 Ländern National Nodes - als Kontakt- und Verknüpfungsstelle außerhalb OPERAS - zur Verknüpfung nationaler Infrastruktur mit der europäischen Ebene zuständig für - die Einbindung neuer Mitglieder in die OPERAS Community - den Kontakt zu Forschenden und Akteuren im Bereich Open Access - sowie die Vernetzung mit (potentiellen) Geldgebern Ziele 1. Bekanntheit in der deutschen Wissenschaftslandschaft steigern 2. Zielgerichtet Infrastruktur- und Forschungseinrichtungen, Institutionen, Bibliotheken etc. kontaktieren und einbinden 3. Services präsentieren und Workshops organisieren, um die Bedarfe der deutschen Forschungslandschaft zu sammeln & zu verstehen Poster und Präsentation: Larissa Saar (Max Weber Stiftung/ OPERAS-GER)


Hochschule für Gesundheit · University of Applied Sciences · Gesundheitscampus 8 · 44801 Bochum alina.napetschnig@hs-gesundheit.de Hintergrund und Ziele Methodik Ergebnisse und Diskussion Die Entwicklung des Gütekriterienkernsets für senior*innengerechte VR-Anwendungen beruht auf einem mehrschrittigen, multimetho- dischen Studiendesign. Die Definitionen und Inhalte der jeweiligen Anforderungen der Kriterien werden in einem iterativen Prozess entwickelt (vgl. Abb. 1). Der Vorgang orientiert sich an dem „Plan, Do, Check, Act“-Kreis (PDCA) und beschreibt vier Aufgaben, die sich zyklisch im Sinne der laufenden Verbesserung wiederholen3. In den einzelnen Teilschritten werden qualitative Forschungsmethoden, wie die Framework Analyse, Gruppendiskussionen sowie Aspekte der Grounded Theory angewendet. Die aufgestellten Kriterien des vorläufigen Gütekriterienkernsets werden anhand einer VR-Trainingsanwendung zur Straßenüber- querung mit Senior*innen zielgruppengerecht und partizipativ in einer Interventionsstudie mit anschließender Gruppendiskussion evaluiert. Die abschließenden Ergebnisse stellen das evaluierte standardisierte Gütekriterienkernset dar. Literatur 1) Baas, J. (2020). Digitale Gesundheit in Europa. Berlin: Medizinisch wissenschaftliche Verlagsgesellschaft. 2) Deiters, W., Höcker, P., Napetschnig, A. & Preissner, L. (2022). Innovationsräume für die partizipative Entwicklung digitaler nutzer*innenzentrierter Anwendungen. In: Department of Community Health (Hrsg.): Community Health - Grundlagen Methoden, Praxis; Weinheim Basel, Beltz Juventa, S. 411 - 423 3) Schönsleben, P. (2016). Integrales Logistikmanagement: Operations und Supply Chain Management innerhalb des Unternehmens und unternehmensübergreifend. Berlin: Springer-Verlag. Die aktuellen Ergebnisse beziehen sich auf den dritten PDCA-Zyklus und bilden das vorläufige Gütekriterienkernset zu den Kategorien: Die Kriterien bilden die Grundlage für die Entwicklung der VR- Trainingsanwendung (vgl. Abb. 2) und können detailliert durch Scannen des QR-Codes eingesehen werden. Die Resultate stellen erste Erfordernisse zu VR-Gestaltungsanforderungen dar. Abbildung 1: Implementierung des PDCA-Kreises in den Produktentstehungsprozess (PEP) zur Entwicklung des Gütekriterienkernsets Quelle: Eigene Darstellung Abbildung 2: Screenshot VR-Trainingsanwendung für Senior*innen zur sicheren Straßenüberquerung Quelle: Eigene Darstellung Virtual Reality (VR) ist nicht nur in der Spieleindustrie vertreten, zunehmend etabliert sich diese innovative Technologie im Gesund- heitssektor1. Ein Leitfaden, der essentielle Gütekriterien für die Entwicklung von VR-Anwendungen für Senior*innen enthält, existiert bisher nicht. Lediglich bestehen allgemeingültige Kriterien für digitale Gesundheitswendungen, die weder zielgruppenspezifisch sind, noch eine Eingrenzung der Technologien beinhalten2. • • • Definition und Evaluierung Anforderungskriterien für den Einsatz von VR in der Gerontologie Problemstellung Bewertung bestehender allgemeingültiger Kriterien für digitale Gesundheitsanwendungen Ergebnis Partizipativ-evaluiertes Gütekriterienkernset mit gültigen Kriterien für senior*innengerechte VR-Anwendungen Take Care 09./10. März 2023 Hauptforschungsfrage: Welche Anforderungen muss eine Gesundheitsanwendung in VR für den Einsatz in der Gerontologie erfüllen? Nutzer*innenorientierte Gestaltung und Bewertung von Virtual Reality-Anwendungen für Senior*innen Alina Napetschnig (M.A.) Allgemeine Anforderungen (I) VR-spezifische Anforderungen (II) 1. Qualitätssicherung med./ gesundheitlicher Inhalte 1. Grafik/ Qualität 2. Datenschutzbestimmungen 2. 3D-Charakter/ Avatar 3. Qualitätsanforderungen 3. Bereitstellen von spielinternen Anweisungen und Aufforderungen 4. Verbraucherschutz 4. Interaktion 5. Interoperabilität 5. Navigation 6. Förderung der Nutzermotivation und Nutzungstreue WEGFEST. – SCAN ME!


https://www.researchobject.org/ro- crate/community.html info@elixir-belgium.org RO-Crate Toolbox Higher level interfaces for interacting with RO-Crates RO-Crate is a generic packaging format containing datasets and their description using standards for FAIR Linked Data. The format is based on schema.org annotations in JSON-LD, which allows for rich metadata representation of (data-) artifacts as external references when necessary. The format has been implemented in a wide range of services such as WorkflowHub and Galaxy. ro-crate-py The core RO-Crate Python library: ro-crate-py (https://pypi.org/project/rocrate/) provides a high-level interface to create, load and manipulate RO- Crate objects. The core library is in the process of being wrapped in different platforms such as Galaxy tools and other GUI environments. Workflow Run RO-Crate We are co- developing Workflow Run RO-Crate profile to store workflow execution data and metadata, including prospective and retrospective provenance, as well as associated tooling for its generation. from rocrate.model.person import Person alice_id = "https://orcid.org/0000-0000-0000-0000" bob_id = "https://orcid.org/0000-0000-0000-0001" alice = crate.add(Person(crate, alice_id, properties={ "name": "Alice Doe", "affiliation": "University of Flatland" })) bob = crate.add(Person(crate, bob_id, properties={ "name": "Bob Doe", "affiliation": "University of Flatland" })) RO-Crate in Galaxy We have integrated RO-Crate in Galaxy, using ro-crate-py, to allow for the export of RO-Crates. Galaxy can now, for example, generate a Workflow Run RO-Crate from a workflow run and provide it for export by processing the Galaxy workflow definition and - execution details.


 Stoichiometric ratios of 1:1, 1:2, 1:3, 2:1 and 3:1 of Febuxostat and the coformer (probenecid, adipic acid and α-ketoglutaric acid) respectively, were subjected to a liquid assisted grinding (LAG) approach, with the drop wise addition of acetonitrile (25µL) in a mortar and pestle.  The ground mixture was then dried in an oven at 80 ºC for 2 hours. Post drying, it was transferred into a dry container and kept in the desiccator.  The solid-state characterization of FXT and its eutectic systems was carried out using a differential scanning calorimeter (DSC) and powder X-ray diffraction (PXRD). The DSC results were in turn used to construct the binary phase diagram (BPD) for each system.  pH dependent solubility studies were carried out at 25 ºC using the shake flask method over a pH range of 4-10 using different buffered solutions.  And the micro-environmental pH studies were performed using the slurry method. Poster No. 21M1200 Febuxostat Eutectics: lost moieties in the quest for Co-crystals Moksh Jagia1, Ruchi Daptardar1, Kinjal R Patel1, Sameer Modi2, Pawan Kumar Singh2, Arvind Kumar Bansal2, Sarsvatkumar Patel1 1Arnold and Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, NY 2National Institute of Pharmaceutical Education and Research (NIPER), India PURPOSE METHOD RESULTS & DISCUSSION Screening, preparation and characterization of eutectic systems of the drug Febuxostat (FXT), using thermal and analytical techniques, with the initial goal of screening for co- crystals. CONCLUSION REFERENCE  DSC indicated towards the formation of eutectic systems by the presence of an invariant low melting endotherm in each case.  PXRD confirmed the systems as eutectic with combination peaks of drug and coformer  The presence of an acidic micro-environment imparted by the coformers resulted in a substantial loss of eutectic system solubility.  Further cocrystallization studies with better coformer selection strategy for the weakly acidic FXT drug needs to be carried out.  S. Cherukuvada, A Nangia, “Eutectics as improved pharmaceutical materials: design, properties and characterization,” Chem. Commun. 2014, 50, 906.  Badawy, Sherif I. Farag, and Munir A. Hussain. "Microenvironmental pH modulation in solid dosage forms." Journal of pharmaceutical sciences 96.5 (2007): 948-959.  A single invariant low melting point (solidus) in all molar compositions is the characteristic of the eutectic phase.  While a small variable liquidus point manifests for the near- eutectic or non-eutectic compositions  A typical BPD of a eutectic assumes a ‘U” or ‘V’ shape, with the point lacking the liquidus peak representing the pure eutectic phase.  While the BPD of a co-crystal assumes a ‘W’ shape. 160 170 180 190 200 210 220 160 170 180 190 200 210 220 0 0.25 0.5 0.75 1 Temperature (°C) Mole Fraction of FXT Solidus Peak Liquidus Peak FXT PROB FXT:PROB Eutectic 130 140 150 160 170 180 190 200 210 220 130 140 150 160 170 180 190 200 210 220 0 0.25 0.5 0.75 1 Temperature (°C) Mole Fraction of FXT Solidus Peak Liquidus Peak FXT ADP FXT:ADP Eutectic 90 110 130 150 170 190 210 90 110 130 150 170 190 210 0 0.25 0.5 0.75 1 Temperature (°C) Mole Fraction of FXT Solidus peak Liquidus peak FXT a-KETO FXT: a-KETO Eutectic 0 2000 4000 6000 8000 10000 12000 14000 4.01 5.63 8.21 10.13 Solubility (µg/mL) pH FXT Drug FXT:Probenecid (1-1) Eutectic FXT:Adipic acid (1-3) Eutectic FXT:a-Ketoglutaric acid (1-3) Eutectic The invariant endotherm for FXT:PROB system appeared around 174ºC, with the single phase melting transition (1-1 ratio) at 175.23 ºC representing the pure eutectic phase. The BPD exhibited a ‘U’ shape characteristic for eutectic formation. The invariant endotherm for FXT:ADP system appeared around 149ºC, with the single phase melting transition (1-3 ratio) at 150.23ºC representing the pure eutectic phase. The BPD exhibited a ‘V’ shape characteristic for eutectic formation. The invariant endotherm for FXT: a-Keto system appear


Project Sherlock Generating better leads for criminal investigations Technologies Big Data Analytics Volume: Criminal cases can involve many terabytes of data. Velocity: The search for clues is often time-bound by circumstances as well as by law. Variety: Storage devices can contain a great variety of file types, and the layout of individual files is not known beforehand. distributed computing The task of analyzing a storage device breaks down into many smaller tasks, which need to be distributed over the available hardware resources. hardware accelerators Photos and videos can be analyzed much more quickly using dedicated hardware such as GPUs. image analysis Computer vision methods allow for automatically annotating photos and videos with metadata such as the names of people, places, and weapons. data management A dedicated data management solution makes the data searchable, and enables feeding selections of data to visualization tools. Digital storage devices such as harddisks, mobile phones, and USB drives are increasingly common in criminal cases. Extracting viable leads from such a device poses various technological challenges. The Netherlands eScience Center is helping the Netherlands Forensic Institute face these challenges by extending their toolchain with a number of eScience technologies. visualization Interactive visualizations provide insight into the course of events. natural language processing More and better clues are produced more quickly using techniques that extract meaning from textual data. Video Mobile phone Photo Person Camera Camera Location Credit card transaction Mobile phone Person Mobile phone Photo Photo Photo Photo Storage devices Camera Video Video


IRPPS E-PUBLISHING SERVICE: PERFORMANCE ASSESSMENT AND DEVELOPMENT OF FUTURE SERVICES Roberta Ruggieri, Fabrizio Pecoraro, Marianna Nobile, Rosa Di Cesare National Research Council, Institute for Research on Population and Social Policies, Rome, Italy • Irpps library supports Open Access (OA) promoting digital scholarship as an alternative channel to diffuse niche products in Humanities and Social Sciences • In 2012 Irpps launched “Cnr-Irpps e-Publishing”, a service to manage internal editorial products based on Open Journal System (OJS). The software was customized to support the research needs of its community • Two series are published: Monographs and Working Papers (WPs) • Contents & submission: guideline for the submission and for the management of final editing • Peer review: internal peer review of the WP series, external peer review for Monographs • Copyright & licensing: creative commons, version 3.0. Free access for all contents • Access & preservation: persistent identifier and long-term preservation in Solar - CNR institutional repository Improvements • Quality of abstract • Complete metadata • Accuracy of cited references Background Background • Upgrading to OJS 3.0 with additional functionalities implemented (Altmetrics) • Digitization of previously published works that represent important achievements of IRPPS research results • Development of a data repository linked to IRPPS publications to increase the replicability and reusability of research in Social Sciences • Improvement of the practices and infrastructures to support data sharing and citations Publication workflow Publication workflow Continuity …..and changes to improve quality and quantity of IRPPS publications Continuity …..and changes to improve quality and quantity of IRPPS publications Further enhancements Further enhancements Policies Policies This work is licensed under a Creative Commons Attribution 4.0 International License. Roberta Ruggieri: r.ruggieri@irpps.cnr.it Editorial quality Editorial review and technical editing, that occur before publication in two phases: pre- and post-acceptance Scientific quality Peer review process Improvements • Relevance • Usefulness • Methodological and ethical soundness of research Library catalogue: 118 WPs + 12 Monographs 2012 1981 Page views in 2011: around 5000 2018 Cnr-Irpps e-Publishing service: 100 WPs + 10 Monographs Page views: 2013-2018 around 110000, 16000 users Page views: 2017 around 11000, 3000 users 29 WPs cited 151 citations 70000 downloads 85000 views


A WLS Reﬂector, made of copper-tetratex foil, surrounds the LAr instrumenta6on and the HPGe detector strings: Eur.Phys.J.C 82 (2022) 5, 442 CIEMAT Leibniz Inst. for Polymer Research South Dakota Mines Univ. of North Carolina at Chapel Hill Comenius Univ. Los Alamos Natl. Lab. Tech. Univ. Dresden Univ. of Padova and INFN Czech Tech. Univ. Prague and IEAP Max Planck Inst. for Nucl. Phy. Tech. Univ. Munich Univ. of Regina Daresbury Lab. Max Planck Inst. for Physics Tennessee Tech. Univ. Univ. of South Carolina Duke Univ. and TUNL Natl. Res. Center Kurchatov Inst. Univ. of California and LBNL Univ. of South Dakota Gran Sasso Science Inst. Natl. Res. Nucl. Univ. MEPhI Univ. College London Univ. of Tennessee Indiana Univ. Bloomington North Carolina State Univ. Univ. of L'Aquila and INFN Univ. of Texas at Austin Inst. Nucl. Res. Rus. Acad. Sci. Oak Ridge Natl. Lab. Univ. of Cagliari and INFN Univ. of Tuebingen Jagiellonian Univ. Polytech. Univ. of Milan Univ. of California San Diego Univ. of Warwick Joint Inst. for Nucl. Res. Princeton Univ. Univ. of Houston Univ. of Washington and CENPA Joint Res. Centre Geel Queen's Univ. Univ. of Liverpool Univ. of Zurich Lab. Naz. Gran Sasso Roma Tre Univ. and INFN Univ. of Milan and INFN Williams College Lancaster Univ. Simon Fraser Univ. Univ. of Milano Bicocca and INFN Leibniz Inst. for Crystal Growth SNOLAB Univ. of New Mexico 40K 4- 1.15 Gyr 0+ Qβ = 1.5 MeV Stable 89% 40Ca EC 11% 1461 keV 11% 0+ 40Ar Stable zoom 42Ar 0+ 32.9 yr Qβ = 599 keV 2- 42K 12.355 h Qβ = 3.5 MeV 0+ 2+ 0+ 82% 18% 0.34% 42Ca 313 keV 1525 keV Stable 2. LAr Scin+lla+on o 1 μm TetraPhenyl Butadiene (TPB) surface coating by evaporation; o 58 SiPM channels: 58 x 9 Ketek PMT33100T 3x3 mm2 SiPMs. 1. LAr Instrumenta+on Setup The LAr scintillation light emission is superposition of two excimer states (Ar! ∗), which both decay producing 128 nm Vacuum-Ultra-Violet (VUV) light 5. Performance in LEGEND-200 LEGEND-200 experiment for neutrinoless double beta decay search, using HPGe detectors immersed in LAr cryostat To op6mize the LAr instrumenta6on performance the LAr was puriﬁed from N2, O2 and H2O. PoS PANIC2021 (2022) 102 q The LAr quality is monitored con6nuously by the LEGEND LAr Monitoring Apparatus (LLAMA). EPJ Web Conf. 253 (2021) 11014 Liquid Argon Instrumenta2on for Background Suppression in LEGEND-200 Experiment 1500 mm Gabriela Araujo1, Laura Baudis1, Nina Burlac2,*, Valerio D’Andrea2, Rosanna Deckert3, Maria Fomina4, Konstan6n Gusev3,4, Patrick Krause3, Alexey Lubashevskiy4, Francesco Paissan2, Laszlo Papp3, Nadya Rumyantseva3,4, Giuseppe Salamanna2, Stefan Schönert3, Mario Schwarz3, Egor Shevchik4, Diego Tagnani2, Daniya Zinatulina4 for the LEGEND collaboraVon 1Universität Zürich, Switzerland 2Rome Tre University and INFN Roma Tre, Italy *currently at Laboratori Nazionali del Gran Sasso (LNGS) of INFN, Italy 3Technische Universität München, Germany 4Joint InsHtute for Nuclear Research, Dubna, Russia q TPB shi]s the VUV light to blue (420 nm); q WLS ﬁbers shi] the blue light into green (490 nm); q The green light is read out by SiPMS (440 nm). 𝜏fast= 30 ns q Event Topology Classiﬁer (ETC) parameter o ra6o of the light emided in the single component to the total light intensity of an event (N = Ns+Nt): ETC = 𝐍𝐬 𝐍 𝜏slow= 8 μs RiseHme 48 ns q The 9 SiPMs are read out in parallel and diﬀerenVally by the front-end electronics. q Overall noise level of 250 μV (peak-to-peak) and RMS = 58 μV (mean value). JINST 18 (2023) 09 q Charge and Vme reconstrucVon performed with two independent methods based on rising edge of the trace and diﬀering in the signal ﬁltering: o HyperCurrent algorithm – a Gaussian ﬁlter is applied to smooth the electronic noise: 95% charge reconstrucVon eﬃciency. o DPLMS ﬁlter-based algorithm Eur.Phys.J.C 83 (2023) 2 – an op6mum ﬁlter is synthe6zed and applied to SiPMs traces: 96% charge reconstrucVon eﬃciency. LAr veto condi1on: q Test staVsVc-based classiﬁer that categorizes events as true (TC) or random co


NEED HELP? Designing and Implementing the RITMARE Help Desk to Support Research Data Management Zilioli M.1, Lanucara S1., Oggioni A.1 and Carrara P.1 1National Research Council of Italy, Institute for Electromagnetic Sensing of Environment ISSUES • RITMARE SDI sustainability depends on its data population • RITMARE Data flows differ according to the research groups’ data management practices • Research groups have different data management practices according to disciplinary domains and to data management competences of their members (about informatics, data policy, data sharing) • Different research groups need differential support in order to distribute geospatial data through RITMARE SDI Nodes FRAMEWORK • RITMARE Project involves a Community of research groups working on different marine issues and belonging to different thematic areas • RITMARE Spatial Data Infrastructure (SDI) is built to assure interoperability among geospatial data produced by the different research groups • RITMARE Data flow from the OGC services made available by the distributed nodes of RITMARE SDI, which are either built on purpose during RITMARE or in other projects (External Nodes) • Interoperability is obtained by exploiting OGC standards; data are made accessible through the RITMARE Data Portal, an OGC compliant web client DESIGNING THE RITMARE HELP DESK • Survey the RITMARE Community to identify the different data management practices • Identify different levels of data management competences inside the RITMARE Community thanks to contacts between research groups and RITMARE Data Team • Identify the Helpdesk activities to support research groups according to their data management competences • Identify facility tools and service types to enable research groups to acquire new data management competences in order to distribute geospatial data through RITMARE SDI Nodes IMPLEMENTING THE RITMARE HELP DESK • Identify a webplatform to provide facilities to RITMARE Community • Estabilish the RITMARE Data Team to create contents and provide assistance through a single contact point RESULTS • 20% of new RITMARE SDI Nodes • 32% of new Data Resources distributed through RITMARE Data Portal • 15% of target research groups attended every webinar session CHALLENGES • To define a workflow to engage scientists in data sharing • To manage different use-cases • To manage different raw data formats RITMARE Data Node RITMARE Data Portal RITMARE SDI Node External Data Node RITMARE Research Groups Data Management Practices Data Management Enablement RITMARE SDI Nodes GLOSSARY •45 items •Contents related to collection, format, organization, storage, web distribution, access of geospatial data and their metadata FAQ • 24 items • Contents: RITMARE Data Portal, RITMARE Data Nodes, RITMARE Data Policy TECHNOLOGICAL services EDUCATIONAL facilities Supporting Learning Training LEVEL 0 Not GIS enabled Geospatial data collection and storage via spreadsheets or texts without georeference LEVEL 1 GIS enabled Data storage without distribution LEVEL 2 GIS enabled WebGIS distribution LEVEL 3 GIS enabled Geoservice distribution via interoperable OGC standard services, metadata aware DATA MANAGEMENT COMPETENCE LEVELS GLOSSARY GLOSSARY Data Transfer to RITMARE Data Nodes INSTRUCTIONS/ VIDEO TUTORIAL Installing and assisting new RITMARE Data Nodes Data Connection to RITMARE Data Nodes WEBINAR HELP DESK SUPPORT ACTIVITIES WEBINAR WEBINAR • 2 items • Contents: (I) RITMARE SDI: what is it? Policy and Technological Components; (II) How to create own RITMARE Data Node: GET-IT software suite INSTRUCTIONS / VIDEO TUTORIAL • Contents: How to create own RITMARE Data Node: GET-IT software suite REFERENCES • GET-IT software suite • RITMARE Data Portal (v0.0) ACKNOWLEDGEMENTS The activities described in this poster have been funded by the Italian Flagship Project RITMARE http://www.ritmare.it/ This work is licensed under a Creative Commons attribution 4.0 http://creativecommons.org/licenses/by/4


The Keystone Women of British and Irish Botany 1856 to 1932 The network of British and Irish Botanists created from herbari- um specimens digitised on Herbaria@home. Each dot represents a botanist, each line represents a connection between the bota- nists. These links between people are that they either collected together, swapped specimens or determined each others speci- mens. Botanists with only one connection have been filtered out to improve readability and also highlight the most connected botanists. The network has been partitioned into 9 modularity classes to give a rough indication of community structure. Fur- ther details can be found in Groom et al. (2014). Only Woman botanists have been named in order to show how well integrated they were into the network of botanists at the time. The network has been laid out using a Fruchterman Riengold algorithm using Gephi 0.8.2 (Bastian et al., 2009) Bastian M., Heymann S., Jacomy M. (2009). Gephi: an open source software for exploring and manipulating networks. Internation- al AAAI Conference on Weblogs and Social Media. Groom QJ, O’Reilly C & Humphrey T (2014). Herbarium specimens reveal the exchange network of British and Irish botanists, 1856– 1932. New Journal of Botany. 4(2) 95-103. Quentin Groom


María J. Álvarez-Pérez, Carlos A. Padilla-Jaramillo, B.Sc., Luis M. Díaz-Sánchez, M.Sc., Marianny Y. Combaiza, PhD., Cristian Blanco-Tirado, PhD., and Aldo F. Combariza, PhD. 1. Departamento de Biología, Universidad de Sucre, Sincelejo, 700001, Colombia. 2. Escuela de Química, Universidad Industrial de Santander, Bucaramanga, 680002, Bucaramanga, Colombia. S w e e t e n i n g t h e c h e m i s t r y w o r l d w i t h s p r i n k l e s o f q u a n t u m b i o l o g y Proton and Cation Affinities of Biosignature phytoplankton pigments and MALDI matrices from RI-MP2 quantum calculations Phytoplankton is a bioindicator useful to measure environmental health. Pigment-Biosignature compounds detection for these organisms by MALDI MS, allows its chemotaxonomic identiﬁcation. Feasible MALDI matrices with thermochemical features (Proton/Cation Affinities -PA/CA- and Ionization Energies -Ei-) guarantees a satisfactory ionization process. So, to establish these properties is a topical issue. We used quantum chemical methods (HF and Pos-HF) to calculate PA/CA energies of MALDI matrices and biosignature pigments. Ⓞ Ⓥ Ⓔ Ⓡ Ⓥ Ⓘ Ⓔ Ⓦ Geometry Optimization Aquatic Ecosystem Vibrational Frequency Electrostatic Maps MALDI MS and Proton/Cation matrices Löwding Charge Analysis δ+ δ- Acknowledgments ●Universidad Nacional de San Agustín (UNSA), Arequipa, Perú for providing access to INKARI cluster facilitis, located at the Observatorio Astronómica Pedro Paulet. ●Thanks to Guatiguara Technology Park and the Central Research Laboratory Facility at Industrial University of Santander for infrastructural support. ●We also acknowledge a graduate fellowship and ﬁnancial support from SGR- BPIN: 2019000100020 and VIE-UIS project 2815 - 2021. Conclusions Geometry Setup protocol is feasible for our systems, and IR spectra are in agreement with experimental reports. From MEP it would be ideal to perform a Löwding population analysis for determining the protonation sites and associated charge. Next step is to optimize and calculate the SPE to build cation-structures. References ● Denis, Elizabeth H.2022, et al. Proton Affinity Values of Fentanyl and Fentanyl Analogues Pertinent to Ambient Ionization and Detection. Journal of the American Society for Mass ● Padilla Jaramillo, C.A., Díaz Sánchez, L.M. , Combariza Montañez, M.Y. , Blanco Tirado, C. y Combariza Montañez, A.F. 2021. Photon Harvesting Molecules: Ionization Potential from Quantum Chemical Calculations of Phytoplanktonic Pigments for MALDI-MS Analysis. Orinoquia. 25, 1 (jun. 2021), 13–23. DOI:https://doi.org/10.22579/20112629.676. ● Gross, H. J., 2017. Mass Spectrometry.Third Edition. ISBN 978-3-319-54397-0. Springer International Publishing.DOI 10.1007/978-3-319-54398-7 Optimization Method: RI-MP2 Basis set: Def2-TZVP ETol: 1E-08 a.u. MEP maps Method: RI-MP2 Basis set: Def2-SVP IsoValue: 0.004 PS: Protonation Site PS PS PS -0.167 -0.037 -0.052 -0.058 𝛼-CHCA 𝛼-CHCA Method: RI-MP2 Basis set: Def2-TZVP Grapher: XMGRACE Avoiding negative frequencies and comparing the IR spectral The overlapped experimental and calculated IR have good agreement Proton Enthalpy Reaction Zero Point Energy Protonated - Ground Electronic Energy Protonated - Ground Gas Constant Absolute Temperature PS ID: Phys50


A photometric study of the ULLYSES/PENELLOPE T Tauri star sample in Ori OB1 and 𝛔Ori: the accretion process at the highest time resolution The ULLYSES/PENELLOPE project on YSO accretion • A legacy spectroscopy survey of accreting pre-main sequence stars, including ~70 T Tauri stars • Synchronized HST COS/STIS as well as VLT UVES/ ESPRESSO/X-Shooter observing campaigns; for a few sources multiepoch observations • ULLYSES (Roman-Duval et al. 2020): accretion and ejection tracers at ultraviolet/optical wavelengths; ODYSSEUS (Espaillat et al. 2022): archive research to model and interpret the HST spectral observations; PENELLOPE (Manara et al. 2021): stellar parame- ters; interstellar extinction, veiling; disk wind and jets; • Unique and contemporaneous UV, optical, and near- infrared legacy dataset of a large YSO sample, covering all evolutionary stages from full disk to transitional disks and Class III disk-less objects The Orion sample • 10 stars in Ori OB1, 3 stars in σ Ori • Sp. type: K6-M3.5, Mass: 0.25-1.1 M⊙ • Distance ~400 pc • CVSO 17, CVSO 36, CVSO 58, CVSO 90, CVSO 104, CVSO 107, CVSO 109, CVSO 146, CVSO 165, CVSO 176, SO 518, SO 583, SO 1153 • ULYSSES/PENELLOPE papers: Manara et al. (2021, survey presentation), Frasca et al. (2021, CVSO104), Espaillat et al. (2022, CVSO109), Froebrich et al. (2022, σ Ori), Pittman et al. (submitted, Ori OB1) • Our goals: (1) extend the project in the time domain; (2) put the spectroscopic results into variability context; (3) identify the underlying physical processes Accretion rates estimated from optical photometry • The X-Shooter UV-optical-infrared spectra were fitted with a model composed of a stellar photospheric template and a slab of gas to simulate the accretion hot spot (Manara et al. 2021) • Adopting stellar and extinction parameters from the X-Shooter model, slab models were fitted to optical broad-band photometry from Konkoly Observatory. We assigned chi2-based probability to each fit, and determined the most likely accretion rate value and its uncertainty at each epoch (left figure) Typical accretion rates: ~10-8 M⊙/yr; variation ⪅3 Variability timescales • The observed timescales of variability are related to the physical processes causing the flux changes • Accretion rate (left) and TESS magnitude (right) differences vs. Δt between any two measurements: • Variability amplitudes steadily increase up to ~2 days, and level off afterward Probably related to rotational timescales Hot accretion spots, funnel flows Does this pattern changes on yearly timescales? References Cody et al., AJ 147, id.82 (2014); De et al., PASP 132, id.025001 (2020); Espaillat et al., AJ 163, id.114 (2022); Frasca et al., A&A 656, id.A138 (2021); Froebrich et al., MNRAS 510, 2883 (2022); Manara et al., A&A 650, id.A196 (2021); Roman-Duval et al., RNAAS 4, id.205 (2020) Acknowledgement This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 716155 (SACCRED). Observations • BVr’i’ images from Konkoly Observatory, Hungary, 2020 Nov 5 – Dec 26 • BVRCICz’ images from OACt, Catania, Italy, 2020 Nov 25 – Dec 16 • BVr’i’ images, AAVSOnet, 2020 Nov 8 – Dec 19 • J-band images, GATTINI survey (De et al. 2020), 2020 Oct 29 – Jan 2 • g-band photometry, ASAS-SN survey • TESS white light (~i-band), 2020 Nov 20 – Dec 16, 10-min cadence TESS (credit: NASA) Characterization of the light curves Left: Example multi-wavelength light curves of CVSO 146. Middle: Distribution of the T Tauri stars in the QM parameter space (based on Cody et al. 2014) • Variability amplitudes: typically ΔV=0.3-0.7 mag, up to 2 mag. Usually decrease with wavelength • Two-parameter description (Cody et al. 2014): degree of periodicity (Q) and flux asymmetry (M), computed from the TESS light curves • QM distribution: three light curves are periodic or quasi- periodic, the remaining ones are close to aperiodic • Most light curv


Predic'on of an'bio'c resistance from genomic data using machine learning and deep learning approaches Valen&n Laroche, Edithe Selwa, Bogdan I. Iorga Ins$tut de Chimie des Substances Naturelles, CNRS UPR 2301, Université Paris-Saclay, Gif-sur-YveDe, France bogdan.iorga@cnrs.fr We propose a very efficient knowledge-based approach for input data encoding or dataset enrichment to overcome the intrinsic limitations (small amount of experimental sample, imbalanced datasets) encountered with the use of genomic and biomedical data in machine learning or deep learning predictive models. The KNOTE package for unbalanced dataset enrichment is freely available at the URL: hJps://github.com/IorgaLab/KNOTE Conclusion Introduction This work was supported in part by the Laboratory of Excellence in Research on Medication and Innovative Therapeutics (LERMIT) [grant number ANR-10-LABX-33], by the JPIAMR transnational project DesInMBL [grant number ANR-14-JAMR-0002] and by the Région Ile-de- France (DIM MALINF). Acknowledgements Results Three diﬀerent encoding modes of genomic data, each one with its advantages and limita'ons, were used for the prepara'on of input datasets. The performance of several machine learning and deep learning approaches was evaluated using these datasets. The best performance was obtained with Convolu'onal Neural Network approach and knowledge-based dataset encoding. However, a clear limita'on was the unequal distribu'on of classes leading The availability of increasing amounts of genomic and biomedical data makes machine learning and deep learning the methods of choice for the prediction of antibiotic resistance, a worldwide health problem of utmost importance. However, several strong limitations have hampered the development of this field. to imbalanced datasets. The dataset enrichment performed with publicly available soaware (SMOTE, ROSE) provided only liJle improvement in the predic'on accuracy, due to errors introduced during enrichment. In these condi'ons, we have developed a new tool called KNOTE (KNowledge-based Oversampling TEchnique) for the error-free enrichment of imbalanced data from genomic and biomedical studies, to be used in machine learning or deep learning predic'ons. The use of KNOTE- enriched datasets provided up to 95-98% accuracy in the predic'on of an'bio'c resistance. 1. Kos, V.N.; Déraspe, M.; McLaughlin, R.E.; Whiteaker, J.D.; Roy, P.H.; Alm, R.A.; Corbeil, J.; Gardner, H. "The resistome of Pseudomonas aeruginosa in relationship to phenotypic susceptibility" Antimicrob. Agents Chemother. 2015, 59, 427-436. Reference Materials and methods Input datasets were prepared from 390 genomes of Pseudomonas aeruginosa with known minimum inhibitory concentra'on (MIC) values for 4 an'bio'cs [1], using three approaches: knowledge-based (output of ResMiner, a bacterial genome analysis tool developed in our group), n- grams and k-mers. Data availability


Laura Bader, Marie-Christine Ramel, Toby G. R. Andrews, Kirti Gupta, Jennifer Pearson-Farr, Lucy M. Collinson and Rashmi Priya Summary Nuclear lobularity increases with cardiac forces in ventricle but not in atrium. How the nucleus, one of the stiffest organelles inside a cell, sustains and responds to mechanical forces in vivo remains understudied. The developing zebrafish vertebrate heart is a unique model system to address this fundamental problem as it generates and withstands substantial mechanical forces. Using in toto imaging, 3D morphometrics, genetics, pharmacological perturbations and scRNA-seq, our work reveals that the two heart chambers, ventricle and atrium, have strikingly distinct cardiomyocyte nuclear morphologies, possibly correlating with Lamin A/C expression and microtubule localisation. Manipulation of cardiac forces and knockdown of Lamin A/C affects only ventricle nuclear morphology while microtubule manipulation affects nuclear morphology in both chambers. Of note, overexpressing Lamin A/C in atrium, which naturally lacks Lamin A/C expression leads to nuclear fragmentation. Together, these results indicate that the two chambers have distinct nuclear mechanics, possibly reflecting the underlying difference in the biomechanical environment. 3dpf Ventricle Atrium High Lamin A/C expression Low Lamin A/C expression Microtubules (MT) Cardiac forces Cardiac forces Ventricle Atrium Lamin A/C Lamin A/C MT stability MT stability 1. Nuclear morphology differs between ventricle and atrium a Ventricle Raw image Binary image Label map Nuclei segmentation Morphological filtering, CCL 3dpf myl7:H2B-mScarlet ventricle atrium Ventricle Heart rate + contractility myl7:mScarlet-LAP2b myl7:H2B-mNeongreen myl7:BFP-CAAX 3dpf Atrium Ventricle Atrium Ventricle Atrium Nif (10μM) DMSO IBMX (50μM) Manipulating microtubule stability alters cardiomyocyte nuclear morphology. myl7:EMTB-mNeongreen 3dpf myl7:H2B-mScarlet myl7:BFP-CAAX 3dpf Taxol DMSO Colchicine Ventricle Ventricle Ventricle Atrium Atrium Atrium Ventricle Ventricle Atrium myl7:mScarlet-LAP2b 5dpf Atrium Ventricle outer layer inner layer 4dpf Atrium Ventricle Ventricle 2. Cardiac force manipulation alters ventricle nuclear morphology vmhc amhc vmhc:laminA-mScarlet myl7:laminA-mScarlet myl7 * * * *enucleated cells amhc:laminA-mScarlet myl7:H2B-mNeongreen; myl7:BFP-CAAX 5dpf Overexpression of Lamin A/C is less tolerated in atrium. Microtubules are load-bearing cytoskeletal filaments that regulate mechanics6 and maintain nuclear architecture7. The Francis Crick Institute, 1 Midland Road, London NW1 1AT contact: laura.bader@crick.ac.uk 3. Lamin A/C is differentially expressed in ventricle and atrium The nuclear lamina is composed of lamins, intermediate filaments required to maintain the nuclear integrity1. Lamin A/C (lmna) is thought to regulate nuclear stiffness and mechanosensing2 and to mechanoprotect the genome3. Depletion of Lamin A/C softens nuclei and leads to increased number of mishappen nuclei2,4. In contrast, overexpression of Lamin A/C stiffens nuclei5. - How Lamin A/C regulates nuclear morphology – role of phosphorylation. - How microtubules regulate nuclear morphology – genetic tools. - Functional implications of differential nuclear morphology in ventricle vs. atrium. - Role of LINC (linker of the nucleoskeleton and cytoskeleton) complex. 4. Microtubule organisation regulates nuclear morhology 5. Further work We would like to express our gratidue to the Light Microscopy, Bioinformatics and Biostatistics STPs at the Crick, for their guidance and support at every stage of the project. Special thanks to the BRF for their assistance with fish husbandry. Without their knowledge, hardwork and expertise, this project would not have been possible. Lastly, we would like to thank the organisations who have provided financial support for this work, including The Francis Crick Institute and the British Heart Foundation. Acknowledgements [1] Gruenbaum, Y. and O. Medalia (2


Prescott College — For the Liberal Arts, the Environment & Social Justice Critical Review: Is Earth's Outer Core Liquid or a High Density Plasma? Daniel S. Helman Sustainability Education, Prescott College, 220 Grove Ave., Prescott, AZ 86301 danielhelmanteaching@yahoo.com Abstract This work explores composition and melting point data (or lack of data) related to Earth's outer core, and also the possibility of a high-density plasma composition, plus gives a background on Inge Lehmann's seismological observation demonstrating a solid inner core. Implications related to geomagnetic field dynamics are also presented, as are evidence in the rock record for changes to the geomagnetic field over time, including the intersection (if any) of such changes and the origin and development of life on the planet. Keywords geodynamo, plasma, metallic liquid, solid-density plasma, plasma channel, origin of life, geomagnetic field Inner and Outer: How Do We Know? Here are the words of Inge Lehmann, who made this discovery: Evidently, there was a reflection of the waves in the interior of the earth that caused them to emerge at a shorter epicentral distance. It was shown in a simple example how this could happen. I considered a globe in which a hard mantle surrounded a softer core, the radius of which I took to be five ninths of the surrounding sphere. The velocity of the longitudinal waves was 10 km/s in the mantle and 8 km/s in the core. It was then a simple matter to calculate the time curves arising from an earthquake that took place at the surface of the globe. The P curve that resulted from waves confined to the mantle ended at 112° distance from the epicenter. P' consisted of two brances, as observed in the New Zealand earthquake. When the variation of the travel time was considered in relation to the angle of incidence, an estimate of the intensity could be obtained. In this way it was found that the intensity of the waves corresponding to the upper branch of the P' curve would be small. This was in accordance with the fact that it had been difficult to observe the upper branch. No rays emerged at epicentral distances between 112° and 154° (Figure 6). I then placed a smaller core inside the first core and let the velocity in it be larger so that a reflection would occur when the rays through the larger core met it. After a choice of velocities in the inner core was made, a time curve was obtained (Figure 7), part of which appeared in the interval where there had not been any rays before. The existence of a small solid core in the innermost part of the earth was seen to result in waves emerging at distances where it had not been possible to predict their presence. Gutenberg accepted the idea. He and Charles Richter (California Institute of Technology, Pasadena) placed a small core inside the earth and adjusted the radius of this small core until the calculated time curves agreed with the waves observed. Jeffreys was slower to accept the inner core. Jeffreys- Bullen time curves had been completed in 1935. In 1939, a new edition was published in which the inner core had been accepted. ... Inge Lehmann was born in 1888 and received her degree in mathematics in 1920. She later became chief of the Seismological Department of the Geodetic Institute of Denmark, which was established in 1928. As described in this article, she aided in setting up seismic stations in Greenland and Copenhagen. Her studies of the travel times of a special phase led to the discovery of the inner core of the earth in 1936. [1] Is the Outer Core a Liquid or a Plasma? Consider the following quote in light of how a plasma is defined: “The best hard sphere model for the core is a transition metal liquid whose valence electrons form an electron sea bathing and charge-compensating the spherical ionic cores.” [2] The term metallic (or metal) liquid also appears in text related to the core of Jupoter: “Jupiter's magnetic field is caused by convective dynamo motion of electrica


INTRODUCTION On the frontlines of fighting the COVID-19 pandemic, chest imaging serves as an indispensable tool in the assessment of disease severity, monitoring the disease progression as well as for treatment planning. With only a handful of reports on radiographic patterns of COVID-19 infection across the literature, we aim to describe the radiographic characteristics of COVID-19 pneumonia in Malaysia. Chest radiographs (CXR) of laboratory confirmed COVID-19 patients in Hospital Tawau, Sabah were retrieved and retrospectively analyzed by two radiologists. The radiographic patterns, distribution among subgroups, and evolution of the disease over time were determined. Criteria Findings Frequency (%) Baseline Chest Radiographs Normal 45 (54.9) Abnormal 37 (45.1) Lung Changes Ground glass opacities 29 (35.4) Consolidation 7 (8.5) Interstitial opacities 4 (4.9) Nodular opacities 1 (1.2) Distribution Peripheral 29 (35.4) Central 2 (2.4) Diffuse 5 (6.1) Lung Involvement Right lung 6 (7.3) Left lung 16 (19.5) Bilateral lungs 15 (18.3) Zonal Predominance Upper zone 4 (4.9) Middle zone 3 (3.7) Lower zone 24 (29.3) No zonal predominance 6 (7.3) Focality Focal 17 (20.7) Multifocal 20 (24.4) Other features Pleural effusion 3 (3.7) Pneumothorax 1 (1.2) Pulmonary nodules 1 (1.2) Lymphadenopathy 0 (0) Follow up Radiographs (n=38) Normal baseline CXRs becoming abnormal 0 (0) Resolution 6 (15.8) Improvement 9 (23.7) Progression 3 (7.9) Computed Tomography (n=5) Typical COVID-19 features 3 (60.0) 82 patients included MATERIALS AND METHODS RESULTS 65 (79.3%) 17 (20.7%) Mean age of 37 ± 15 years 25 8 18 16 1 5 9 24 40 9 16 33 6 2 4 45 M ale Female Symptomatic Asymptomatic Child ren Elde rly Comor bid No Comorb id DISTRIBUTION OF RADIOGRAPHS ACCORDING TO SUBGROUPS Normal CXR Abn ormal CXR with CO VID-1 9 pn eumon ia fe atu res CXR shows ground glass opacity at right lower zone. Coronal CT image shows ground glass opacity at right lower zone corresponds to the finding on radiograph. Asymptomatic COVID-19 patient with consolidation at the left upper zone (arrow) in the baseline radiograph with complete resolution of the opacities on day 5 of admission. REFERENCES C-07 NMRR NO:20-698-54570 CORONAVIRUS DISEASE -2019 (COVID-19): A RETROSPECTIVE REVIEW OF CHEST RADIOGRAPHS IN 82 PATIENTS. Mohana Letchumanan1, Adi Afiq Bin Md Anour1, Shubash Shander Ganapathy2, Syaman Harry1, Nik Shah Hizan Binti Nik Lah1, Norlimah Binti Arsad3, Nur Farhana Binti Ahmad Fisol4 1Department of Radiology, Tawau Hospital, 2Institute for Public Health, National Institutes of Health, 3Director of Tawau Hospital,4Clinical Research Center, Tawau Hospital 1. Choi H, Qi X, Yoon SH, Park SJ, Lee KH, Kim JY, et al. Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation. Radiology: Cardiothoracic Imaging 2020; 2(2): e200107. 2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395:497-506. 3. Lomoro P, Verde F, Zerboni F, Simonetti I, Borghi C, Fachinetti C, et al. COVID-19 pneumonia manifestations at the admission on chest ultrasound, radiographs, and CT: single-center study and comprehensive radiologic literature review. Eur J Radiol 2020; 7: 100231. CONCLUSION COVID-19 pneumonia presented with a specific radiographic pattern, comprising of ground glass opacities in peripheral and basilar distribution, affecting a single lung field. We observed these lung changes in both symptomatic and asymptomatic group of patients, and was more frequently manifested by patients with symptoms and comorbid, and those over 60 years of age. Chest radiograph is a useful adjunct screening tool, and in combination with clinical and epidemiological assessment may facilitate in early diagnosis of COVID-19 pneumonia. The authors would like to thank the Director General of Health, Malaysia, for the permission to present this poster


Workflow Tool for Archaeological Experiments and Analytics Workflow Tool for experiments We are developing an easy-to-use visual workflow tool that will allow researchers to record and illustrate meta- and paradata: experimental design, the protocol of sample preparation, procedure or analysis. The tool incorporates different types of experimental setup, ranging from high-tech controlled automated procedures in a lab to full-scale reconstructions in the field or well-documented re-enactment by a broader public (CC). Users will be able to customize the developed prototype, and increasing familiarity with their needs will be used to improve it. Experiments, reconstruction, replication and reproduction A lack of standards and tools for recording and reporting on archaeological experiments and analytics hinders comparison, scientific knowledge exchange and the evaluation of data quality. We are trying to fill this gap by developing a flexible, easy-to-use visual work-flow tool that will allow researchers to record meta- and paradata: experiment design plus protocols of sample preparation procedures and/or analysis. The need for such a tool has long been recognized, but resources have been lacking. The aim is to produce a prototype of a tool that can be continually improved in line with the needs of our community. About the Poster NFDI4Objects Community Meeting 2024, Mainz. Leibniz-Zentrum für Archäologie (LEIZA) Ivan Calandra, Geoff Carver, João Marreiros, Allard Mees, Guido Heinz, Florian Thiery Leibniz-Zentrum für Archäologie Citation Callandra, Carver, et al. (2024). Workflow Tool for Archaeological Experiments and Analytics. Zenodo. DOI: 10.5281/zenodo.13799052. 1) Monrepos 2) https://denkmalstiftung-baden-wuerttemberg.de/wp-content/uploads/2022/10/Denkmalstiftung-Baukunst_Pfahlbau.jpg 3) https://i.pinimg.com/736x/0c/a0/87/0ca087ca4ce96a5038eaf4608a7f4f2e.jpg 4) https://www.crystalking.com/hubfs/ancientrome.jpg 5) TraCEr List and reorder tasks Start menu Generate task flowchart Populate inventory Plan an experiment 1 2 3 4 5 https://tools.leiza.de/workflowtool/


z The Impact of Digital Behavior on Poly-substance Use Among American High School Students: An Analysis using YRBS 2017 to 2021 Laggy George MPH Brooks College of Health INTRODUCTION § Poly-Substance Use (PSU): Significant public health concern especially among adolescents. • Age of Onset: 15-19 years critical for substance use initiation (Blanco et al.,2018). • Poly substance use is more prevalent than single substance use (CDC,2023). • Screen Time (ST): Associated with physical, social, and psychosocial health impacts (Connolly et al., 2024 ) • Explore the association between screen time and PSU in American High School students, using a cross-sectional analysis with YRBS 2021 data. • PSU includes concurrent use of 2 or more drugs intentionally or unintentionally (CDC,2023). • Excess screen time defined as more than 2h/day apart from course work ((AACAP, 2024) OBJECTIVE • Data Source: YRBS 2017-2021, (N=45,132). • Dependent: PSU (concurrent use of substances). • Independent: Screen time, Socio-demographic (gender, age, race/ethnicity, grade), Lifestyle factors (mental health, physical activity, sleep, smoking, alcohol use, opioid misuse). • Statistical Analysis: Chi-square and Multiple logistic regression Using SAS 9.4 English. RESULTS • Baseline characteristics: • Final sample size n=7,251 • 48% females, 52% males. • Majority aged 16-17 years (24%). • Non-Hispanic Whites 53%, Hispanics 25%. • PSU: 21%, and Screen Time >2 h: 91% • ST and PSU Association: • Higher odds of PSU with >2 h per day of ST (AOR = 1.6, 95% CI = 1.03-2.54) Increased odds of PSU also with: • Dose response with age, >18yrs, (AOR = 27.7, 95% CI = 5.84-131.9) • Opioid misuse and Alcohol 3 times higher odds, while smoking 10 times higher odds. • Gender and Race differences: Males, non- Hispanic Blacks had higher odds (Table 1) • Physical activity 5 days a week for 60 mins/day (AOR = 0.8, 95% CI = 0.68-0.99) • Trends (2017, 2019, 2021): • PSU higher odds 2019 (AOR = 1.3, 95% CI 1.05-1.56, p=0.015) • Excess Screen Time: Significant predictor of PSU; higher likelihood of PSU. • Mental Health: Poor mental health linked to higher likelihood of PSU. • Smoking, alcohol, opioid misuse increased the likelihood of PSU. • Physical Activity: Protective effect against PSU. • Prevention Strategies: Focus on reducing screen time, promoting physical activity, and integrating mental health services. METHOD Table 1 Multiple Logistic Regression Analysis Note: n = unweighted sample size. % = weighted percentage. Significant at p<0.05 • Target lifestyle modifications, including physical activity in highschoolers to reduce screen time. • Health education for parents and adolescents regarding prescription misuse, and substance misuse. • Emphasis on High-risk subgroups. 10% 68% 11% 55% 17% 51% 15% 21% 90% 32% 89% 45% 83% 94% 85% 79% NONE CURRENT ALCOHOL NONE CURRENT OPIOID MISUSE NONE PRESENT SCREEN TIME <=2 H/D >2H Prevalence of Polysubstance Use among High School Students in the United States from 2017-2021 Poly Substance Use (No) Poly Substance Use (Yes) • Chi-square analysis • All values significant at p <0.05 Smoking Variable Odds ratio 95% CI Gender Female reference Male 1.3 1.04-1.63 Age (years) >12-13 reference 14-15 21.7 4.92-95.76 16-17 24.5 5.40-111.24 >18 27.7 5.84- 131.91 Race NH White reference NH Black 1.8 1.24- 2.47 Physical Activity >= 1h/day <5 days a week reference >=5days 0.8 0.68-0.99 Mental Health Good reference Not good 1.9 1.47-2.37 Current Smoking <=30 days None reference Current 9.7 7.78- 12.09 Current Alcoholism <=30 days None reference Current 3.4 2.58-4.54 Prescription Opioid Misuse No reference Yes 3.1 2.50-3.72 Screen time <2h per day reference >2h per day 1.6 1.03-2.54 REFERENCES ACKNOWLEDGEMENTS • Aacap. (n.d.). Screen Time and Children. • Blanco, C., Flórez-Salamanca, L., Secades-Villa, R., Wang, S., & Hasin, D. S. (2018). • Centers For Disease Control and Prevention. (2023). • Connolly, S., Govoni, T. D., Jiang, X., Terranella, A., Guy, G. P., Gr


UNAVCO VIVO ingest (python scripts) Curated author disambiguation Disambiguation Match List VIVO Triple Store Check for existing objects in VIVO using VIVO Query API Get metadata from CrossRef using CrossRef API Employees MS Dynamics Membership xml ORCID Datasets UNAVCO API (in development) Abstracts web scraping > json RDF Publications Web of Science Google Scholar 0% 25% 50% 75% 100% Connect with social media databases that contain information about the researcher (e.g. Research Gate, LinkedIn, Twitter, Facebook) Generate biographies, CVs, resumes or other information Connect to institutional web page Be discoverable (efﬁciently and accurately) in Google or other search engines Which other features would you like an information platform that displays/describes your work to have? Not essential, should not be added Not essential, but could be added Important Very Important 0% 25% 50% 75% 100% Podcasts produced Meetings attended Past professional volunteer services/leadership positions Teaching tools produced Videos produced Webinars/workshops taught Presentations given Past grant awards Courses taught Students advised Software tools produced Algorithms/models developed Images/graphics created Professional awards received Instruments/tools developed Datasets produced Which of the following “products” are most important to include in an information platform that displays/describes your work (e.g. on a faculty webpage or in a researcher proﬁle)? Ask a colleague Web sites of individual researchers Institutional library catalog Literature indexes, e.g. Web of Science Google or another search engine How do you search for publications? Never Sometimes Often Always Social/researcher networking services (e.g. Research Gate, LinkedIn, Facebook) Ask a colleague Published literature, e.g. journal articles University web sites Google or another search engine How do you search for people (e.g. a colleague who may have moved from one university to another)? 0% 25% 50% 75% 100% Institutional library catalog Ask a colleague Google or another search engine Published literature, e.g. journal articles Data center web sites How do you search for data (e.g. All time series from GPS stations in southern California)? Company or tool- producer web sites Institutional library catalog Ask a colleague Published literature, e.g. journal articles Google or another search engine How do you search for tools (e.g. all geodetic and seismic instruments in or around the Marmara Sea)? Figure 2 (above): The VIVO application comes pre-packaged with an ontology (semantic vocabulary) that doesn’t cover many geodetic concepts. Figure 2 illustrates a relationship not fully supported in the VIVO-ISF ontology. A project will have many stations which may host multiple instruments (e.g. GPS and meteorological equipment), which are attached to one or more platforms (see Figure 3 for an example). Figure 4 (above): Datasets can be linked to a major geophysical event, such as an earthquake. The products shown, and others such as software and models, are tied to skos:Concepts, which are pulled from controlled vocabularies whenever possible. Geodesy-specific concepts were added to the application to capture research areas and expertise. The VIVO application was customized to better capture the needs of the geodesy community. The customizations implemented so far include ontology extensions and mapping capabilities. For the initial rollout, the database was populated from a diverse array of sources, summarized below (Figure 5). As the application matures, relevant data will be added automatically using APIs from the NSF, ORCID, and CrossRef. Guiding development of a semantic web app: End-user engagement in the EarthCollab project Gross, M. Benjamin1, Johns, Erica M.2, Rowan, Linda R.1, Mayernik, Matthew3, Khan, Huda2, Daniels, Michael D.3, Krafft, Dean B.2 1) UNAVCO, Boulder, CO 2) Cornell University, Ithaca, NY 3) National Center for Atmospheric Research, Boulder, CO This materi


Lost in scientiﬁc literature? Too busy to stay on top of your ﬁeld? Find inﬂuential research with a click of a button. Get to highly cited articles, follow updates on new publications, browse grant database to see what is funded in your ﬁeld. Too few or too many results, having to search in numerous places - literature research can be time-consuming. Europe PMC provides free access to biomedical peer-reviewed publications and oﬀers advanced search tools to help you navigate the world of scientiﬁc knowledge. Try Europe PMC for A-Z of life sciences literature: publications, patents, theses, and more. It combines the power of PubMed and PMC with a single search for both abstracts and full text. Even most speciﬁc requirements can be addressed with Europe PMC advanced search. Find clinical reviews, or search speciﬁcally for articles that mention CRISPR in the methods section. Hard to locate primary data and ﬁnd evidence? Want to re-use a dataset from a study? Discover links to data records directly from the full text. Europe PMC links to PDBe, UniProt, ChEMBL, and many more public molecular resources. Looking for evidence to support your hypothesis? Scan articles for concepts like chemicals or organisms, and spot protein interactions or gene-disease relations with an annotation tool. No time to gather the evidence of your impact? Claim your works to your unique ORCID identiﬁer with a simple tool from Europe PMC and enjoy immediate beneﬁts - an Author Proﬁle showcasing your publication list and citation rate. Find your way with Europe PMC! www.europepmc.org


Experiment 1: 4 Amaranthaceae species & Glycine max • The study was conducted at the following field sites in southern Illinois: Cypress Creek National Wildlife Refuge (A. japonica), Chestnut Hills Nature Preserve (A. japonica), Belleville Research Center (A. palmeri, A. tuberculatus, G. max), and Beall Woods State Park (I. rhizomatosa). • Ten individual plants of each species at each site were randomly selected for measurements (see Sampling Method above). • Differences among wavelengths in % reduction taking into account plant height as a covariate were tested using an ANCOVA in SAS. Experiment 2: Achyranthes japonica in competition with Microstegium vimineum • The field site was located at Chestnut Hills Nature Preserve in Pulaski County, Olmsted, Illinois. • Twenty 1m2 quadrats containing mixed communities of A. japonica and M. vimineum with different proportions of A. japonica were sampled three times (T1, T2, T3) during July. • Vegetation was sampled by visually estimating plant cover in each 1m2 quadrat based upon the modified Daubenmire method for cover estimation. • Four individual plants within each plot were randomly selected for measurements (see Sampling Method above). • The relationship between the proportion of A. japonica and height to the mean % reduction of each light wavelength was examined using a stepwise regression in SAS. Introduction Materials and Methods Experiment 1 • All five species had significant differences between light wavelengths (Fig. 1). • The mean % reduction of the blue wavelength was consistently the highest among the four wavelengths, nearing 100%, followed by the red and far-red wavelengths, respectively (Fig. 1). • The far-red and white wavelengths had similar levels of reduction at approximately 44% in A. japonica at Cypress Creek and 59% in I. rhizomatosa, (Fig. 1a, e), while A. japonica at Chestnut Hills had a greater reduction in the white than far-red wavelength (Fig. 1b). Experiment 2 • There was a positive relationship between the mean % reduction in both the blue and red wavelengths and height for T1 and T3 (Fig. 2a, c). • There was a negative relationship between the mean % reduction in the far-red wavelength and the proportion of A. japonica for T1 (Fig. 2b). • There was a positive relationship between the red:far-red ratio and height for T1 and T2 (Fig. 2d). • There was a negative relationship between the mean % reduction of red wavelength and the proportion of A. japonica and a positive relationship with height for T2(Fig. 2e). • There were no significant relationships detected for the white wavelength. a) Blue Wavelength (Height) Height (cm) 20 30 40 50 60 70 80 90 100 Mean % Reduction 96.0 96.5 97.0 97.5 98.0 98.5 99.0 99.5 100.0 Time 1: blue = 97.666 + 0.01798 (height) F1,18 = 8.44, p = 0.0094, R2 = 0.3192 Time 3: blue = 97.744 + 0.01443 (height) F1,18 = 5.16, p = 0.0356, R2 = 0.2229 40 50 60 70 80 90 100 40 50 60 70 80 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 Mean % Reduction Height (%) Proportion of Achyranthes japonica e) Red Wavelength (Height & Proportion of Achyranthes japonica) 40% 50% 60% 70% 80% 90% 100% Time 1 Time 1 Regression Time 2 Time 2 Regression Time 3 Time 3 Regression c) Red Wavelength (Height) Height (cm) 20 30 40 50 60 70 80 90 100 Mean % Reduction 40 50 60 70 80 90 Time 1: red = 44.248 + 0.44211 (height) F1,18 = 11.35, p = 0.0034, R2 = 0.3868 Time 2: red = 60.15926 - 9.66842 (propachj) + 0.34795 (height) F2,17 = 9.8; p = 0.0015; R2 = 0.5354 Time 3: red = 56.29869 + 0.25306 (height) F1,18= 11.79, p = 0.0030, R2 = 0.3958 b) Far-Red Wavelength (Proportion of Achyranthes japonica) Proportion of Achyranthes japonica 0.2 0.4 0.6 0.8 1.0 Mean % Reduction 35 40 45 50 55 60 65 70 Time 1: far-red = 53.72696 - 9.15980 (propachj) F1,18 = 6.00, p = 0.0248, R2 = 0.2501 d) Red:Far-Red Ratio (Height) Height (cm) 20 30 40 50 60 70 80 90 100 Red:Far-Red Ratio 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 2.4 2.6 Time 1: ratio = 0.85063 + 0.01217 (height) F1,18 = 7.63, p = 0.0128, R2 =


NHS East Genomics has 4 main partner NHS Trusts: Cambridge University Hospitals | Norfolk and Norwich University Hospitals Nottingham University Hospitals | University Hospitals of Leicester www.eastgenomics.nhs.uk Learning from the implementation of DPYD pharmacogenetic testing across 18 acute NHS Trusts Authors: Aris Saoulidis1, Paul Selby1, James Drummond1, Sarah Hunter1, Colin Spencer1, Sarah Pacey1, Richard Sandford1 1NHS East Genomic Medicine Service Alliance & Genomic Laboratory Hub (East Genomics). Correspondence: Aris.Saoulidis@nhs.net Informatics interoperability between genetic labs and prescribing software is key Clinical teams have no or limited functionality to seamlessly track the test progress, and test results are primarily transferred as PDF reports. Current manual methods of tracking and reporting test results to clinicians contribute to perceived longer test turnaround times by clinicians, despite timely lab reporting. Thus, automated reporting between NHS systems is needed. The current healthcare informatics exchange standards and channels (HL7 and FHIR) offer opportunities to support PGx interoperability.4 However, the community requires consensus on standardising the nomenclature of PGx reporting to clinicians agnostic to prescribing systems. Currently, Ontology and Medical terms (SNOMED CT) are not aligned with clinical PGx guidelines, introducing challenges of clinical PGx reporting, as for example, the UK Chemo Board guidance have six levels of DPD classification as opposed to three SNOMED CT codes. Figure 1: Number of medicines with pharmacogenomic potential prescribed by pharmaceutical class Patient outcomes and data collection Interoperability will support systematic data collection needed on treatment efficacy and toxicity for large scale adoption of PGx. Finally, we welcome the community’s approach to further identify how to increase and review systematic toxicity reporting, alongside re-assessment of expanded testing for other DPYD variants across different ethnicities. Background Fluoropyrimidines (capecitabine, 5-fluorouracil/5FU) are systemic anti-cancer therapy (SACT) in solid cancer. Fluoropyrimidines are metabolised by the enzyme dihydropyrimidine dehydrogenase, encoded by the DPYD gene. Pre-treatment genetic screening for DPYD pharmacogenetic (PGx) variants can predict and prevent fluoropyrimidine toxicity and was mandated prior to 5FU/capecitabine treatment by the MHRA in October 20201; a Clinical Commissioning Urgent Policy Statement was published by NHS England in November 20202. DPYD testing already takes place across 18 East of England and East Midlands NHS Trusts offering fluoropyrimidine systemic anti-cancer treatment, albeit with significant variation. Most Trusts are currently following the UK Chemotherapy Board’s 2020 Personalised Medicine Approach for fluoropyrimidine-based therapies3. Overall, DPYD testing is now established in the NHS, preventing toxicity and improving treatment for patients with clinically-significant DPYD variants. We share our key learnings from the East Genomics DPYD transformation project. 1. 5-fluorouracil (intravenous), capecitabine, tegafur: DPD testing recommended before initiation to identify patients at increased risk of severe and fatal toxicity. Medicines and Healthcare products Regulatory Agency. October 2020 accessible from https://www.gov.uk/drug-safety-update/5-fluorouracil-intravenous-capecitabine-tegafur-dpd-testing-recommended-before-initiation-to-identify- patients-at-increased-risk-of-severe-and-fatal-toxicity 2. Clinical Commissioning Urgent Policy Statement Pharmacogenomic testing for DPYD polymorphisms with fluoropyrimidine therapies– NHS England, November 2020 (URN 1869) accessible from: https://www.england.nhs.uk/publication/clinical-commissioning-urgent-policy-statement-pharmacogenomic-testing-for-dpyd-polymorphisms-with-fluoropyrimidine-therapies/ 3. Personalised Medicine Approach For Fluoropyrimidine-based Therapies. UK Chemother


Research Libraries have a long history of studying the users of their collections, but these theories and methods have not translated easily into stud- ies of digital services, much less of digital data services. By combining information from DANS transaction logs with a user database we gain insights into who uses the archive and how. Curation Images form the largest part of the archived ﬁles. Most of them stem from archeological data- sets. One of the biggest challenges in long-term preserva- tion is to still be able to read/display digital content - ﬁle type recognition is a prerequisite. Monitoring of the amount of datasets, their composition in terms of ﬁles, ﬁle size, and ﬁle type is needed to design strategies for storage and access. Here we show a polar bar chart of mime type frequencies (above) and the growth of the archive (below). Datasets with a later creation date have more ﬁles, and there are more datasets each year. Before 2000 the archive grew yearly by less than 2 GB. After 2000 we observe a dramatic change in the growth regime, adding between 100 and 500 GB each year. Navigation From the transactions logs, we extracted the 70 most frequently used search terms across all sessions. Clustering strings reveals groups of topics: archeological sources (see cluster 1-4), elections (*kiezer*), mobility (*mobiliteit*), or living conditions (*woon*). OPACs (Online Public Access Catalogue) determine how the user sees the collections of a digital library or archive. Visualizations of a collection can bridge the gap between the old physical and the new digital. But what to visualise? Geographic regions and periods in time? The interconnectedness of search terms and their possible targets or the composition of the collection in terms of targeted audiences? As of May 2015, EASY contains 29,743 published datasets (the equivalent of a “collection” in Dublin Core ). The majority of submitted datasets originate in archaeology, for which EASY is a legal deposit archive. The majority of downloaded datasets are from the social sciences. See a showcase of a visual exploration of EASY at: http://www.drasticdata.nl/projects.htm#DansEasy Christine Borgman, Andrea Scharnhorst, Henk van den Berg, Herbert Van de Sompel, Andrew Treloar christine.borgman@ucla.edu, andrea.scharnhorst@dans.knaw.nl, henk.van.den.berg@dans.knaw.nl, herbertv@lanl.gov, andrew.treloar@ands.org.au Surprisingly little is known about the uses and users of digital data archives, about relationships between users and the staﬀ of data archives, or how these behaviors vary by discipline, geographic region, policy, and other factors. Digital data archives are not a single type of institution - they vary widely in organizational structure, mission, collection, funding, and relationships to their users and other stakeholders. We present an exploratory study of EASY, the Electronic Self-Archiving SYstem, a digital archive hosted at DANS. DANS was founded in 2005 as an institute of the Royal Netherlands Academy of Arts and Scienc- es (KNAW) and of the Netherlands Organisation for Scientiﬁc Research (NWO). DANS is responsible for archiving 50 years of digital research data in the social sciences and humanities. We present a number of visual explorations with the goal of identifying methods for studying the contributors, consumers, and role of archivists in digital data archives. In particular we address RESEARCH about users; CURATION of digital content, and interfaces for NAVIGATION. [1] Christine L. Borgman, Andrea Scharnhorst, Henk van den Berg, Herbert Van de Sompel, and Andrew Treloar. "Who Uses the Digital Data Archive? An Exploratory Study of DANS" Information Today (2015). ! magnitude: 1000, 100, 10, 1 users sessions Number of logged in users and sessions, world!wide, 2011 ! 2014 ! magnitude: 1000, 100, 10, 1 users sessions Number of logged in users and sessions, 2011 ! 2014 !"##$"%&' (#$)* *+,-.(%$, -..+-.++*-" /-#'. .$.)#0".+-.#1%!"*-%0.)#%'#$!%. .-01#*)*,%# .-01.#*)


Biological processes underpinning soil ecosystem services Methods Preliminary assessment A summary report, Soil Ecosystem Services: the current status and research priorities (Paterson, Glies, Yeluripati & Neilson, 2022) was completed, identifying knowledge-gaps with respect to biologically mediated processes underpinning soil ecosystem services. This report also identified research within the current RESAS Strategic Research Programme contributing to understanding of soil ecosystem services, and how this research links to current policy for soil governance in Scotland. Experimental approach Soils representing a diversity of classifications across cultivated land in Scotland were identified, including long-term experimental sites, where land use and management are known and supported by existing monitoring data. A set of approaches to quantify soil biological functions were applied, focusing on processes underpinning greenhouse gas fluxes, nutrient cycling, crop productivity and nitrogen leaching. The biological functions were selected, both for their direct relevance to soil ecosystem services, and as functions that are represented in biogeochemical models (i.e., the data will support refinement of these models). Results Example of soil functional analysis: Balruddery Centre for Sustainable Cropping Sustainable management, reduced tillage and application of organic amendments to substitute for mineral fertilisers, significantly affected microbial community abundance and composition, strongly impacting the physiological capacity of the soil microbiome to utilize a diversity of organic compounds (Fig. 1). Eric Paterson and Clare Cameron The James Hutton Institute, Craigiebuckler, Aberdeen Email: eric.paterson@hutton.ac.uk Introduction • Soil is a fundamental resource supporting delivery of ecosystem services underpinning societal, environmental and economic benefits. • Historically, these benefits have been linked closely to soils’ capacity to sustainably support plant primary production for food, fibre, and fuel, thereby supporting human life and activities. • These provisioning services remain vital, particularly in the context of increasing global populations, a changing climate and competing pressures on land use. However, a host of other services that soils provide are now recognised to underpin environmental and cultural services that need to be considered in management and policy decisions relating to soils and land use. • The soils of Scotland are highly diverse, shaped by climate and their underlying geology, meaning that the ecosystem services that they can potentially support is variable. • Management of soils for single ecosystem services (e.g., greenhouse gas mitigation) has consequences for others (e.g., food production), and understanding these potential trade-offs, across diverse soils, is a focus of this research. Conclusions  The desk review of existing knowledge on soil ecosystem services identified successful use of soil properties to predict services that are primarily controlled by physico-chemical processes (e.g., resistance to erosion, water infiltration), but that prediction of biologically-driven functions (e.g., greenhouse gas fluxes, nutrient cycling), is more difficult, particularly in the context of dynamic changes associated with management practices.  The soil functional analyses identified strong soil-type effects on biological processes, and that for a single soil, management has a significant impact on the capacity of that soil to mediate processes underpinning greenhouse gas fluxes, element cycling, plant productivity and nutrient retention. Figure 1: Canonical Analysis of Principal Coordinates (CAP) of soil microbial community physiological diversity (MicroRespTM) for conventional (CON) and sustainable (SUS) management practices. These impacts of sustainable management practices on microbial communities were associated with significant effects on soil functions affecting nitrogen availabil


H63D Research Consortium Konferenzposter www.H63D.org Nur für akademische Zwecke! Typ 1, 2 & Oshtoran H63D-Syndrom Typ-1 H63D Syndrom Typ-1 führt zu einer spezifischen Konstellation: niedriges Ferritin und hohe Transferrinsättigung, was zu einer Speicherung von nicht entfernbarem NTBI (nicht an Transferrin gebundenem Eisen) führt. Diese intrazelluläre NTBI- Akkumulation verursacht zunächts unbemerkt subklinische Entzündungen, die wiederum zu ersten Funktionsstörungen, aber auch bereits zu meist erheblichen Organschäden führen können, insbesondere an Leber, Herz, Endokrinium und Gehirn. Typische Symptome basieren somit auf nur mit sehr speziellen Tests fassbaren subklinischen Entzündungen, ungleich verteilt im Parenchym, oft bereits früh begleitet von einer schleichenden Degeneration der Hoden, was zu Verkalkungen führen kann. Zudem treten Narkolepsie mit Kataplexie und nahezu die gesamte Palette der so genannten non-motor Parkinson Symptome auf (wenig überraschend beim Vorliegen einer Degeneration der Substantia nigra mit Bezug zu den Basalganglien). Vor Chelattherapien aller Art und Aderlässen muss gewarnt werden, da sie das Ferritin weiter reduzieren, während das toxische NTBI-Eisen im Körper verbleibt. H63D-Syndrom Typ-2 Typ-2 zeigt einen unspezifischeren Phänotyp mit einem bunten Strauß an Symptomen und erfordert eine ausgesprochen umfassende Diagnostik durch Endokrinologen. Die Eisenregulation und dessen Auswirkungen auf den Körper sind jedoch auch hier der Kern des Problems. Die Anwendung von Aderlässen hängt vom Ferritinwert ab und muss sorgfältig überwacht werden. H63D-Syndrom Typ-3 Oshtoran-Syndrom Das Oshtoran-Syndrom (H63D Typ-3) beginnt mit einer immunologischen Schädigung (progressiv, persistierend) nach einer Infektion, insbesondere nach dem PANS/PANDAS Syndrom. Die in der Folge klinisch aktivierte homozygote HFE H63D Mutation führt langsam aber sicher zu Symptomen, die jenen von Typ-1 ähnlich sind, doch erheblich radikaler und persistierender. Typisch für Typ-3 (Oshtoran) ist eine wellenrtige Progredienz mit teils vital gefährlichen Symptomen. Wie auch bei dem o.g. Typ-1 kommt es wellenartig zunehmend zu ernsten Organschäden (strukturell und funktionell). Merwürdig oft findet man in der Leber eine FNH. In den fortgeschrittenen Stadien tritt oft eine PDH- Zytopathie (eine Mitochondriopathie) auf. Die durch ANS/ZNS, Pathways, Botenstoffe und zusammen über die Innervation auslösbaren Fehlsteuerungen von Organen, Endokrinium und Immunsystem macht das Oshtoran Syndrom zu einem potentiell letal endenden, äußerst schwer diagnostizierbaren und nicht kausal behandelbaren Phänotyp. Daher ist die Behandlung fast immer nur supportiv und nicht kurativ, mit außerordentlich starker Medikation. H63D-SYNDROM Eine der riskantesten Orphan Diseases kondensiert für Laien und Eilige erklärt. Das H63D-Syndrom Das H63D-Syndrom ist eine genetische Erkrankung, die durch eine homozygote Mutation im HFE-Gen H63D verursacht wird. Diese Mutation kann in seltenen Fällen zu einer Vergiftung durch NTBI-Eisen führen, wie dies in sehr ähnlicher Weise beim Morbus Wilson mit Kupfer geschieht. Eine Vielzahl von immer schlimmer werdenden Funktions- und Organschäden ist die Konsequenz. Auch hier die Parallele zum Morbus Wilson. Im Gegensatz zu herkömmlichen Formen der Eisenüberladung (das H63D- Syndrom ist keine Hämochromatose) die durch hohe Ferritinwerte gekennzeichnet sind, zeichnet sich das H63D-Syndrom durch niedriges Ferritin und eine erhöhte (>50%, meist >60%) Transferrinsättigung aus. Dies führt bei jedem Menschen zur Bildung von toxischem NTBI-Eisen und folglich zu einer Ablagerung von NTBI-Eisen in kritischen Organen wie z.B. Leber, Herz und Gehirn. In kleinen Mengen ist dies normal, kann aber erhebliche Folgen haben, wenn man zu lange (meist Jahre) zu viel NTBI in seinen Parenchymzellen und Gehirn speichert, wie dies am H63D-Syndrom Erkrankte erleben. Meist leiden die Patienten daher über Jahre hinweg an immer mehr Symptomen: 50 bis 90 sind


Combined effects of alternative casing materials and biostimulants on Agaricus bisporus yield and disease incidence Florien A. Gorter1, Marc Hendriks1, Odette Mendes1, Carin Lombaers1, Marjon Krijger1, Ed Hendrix1, William Kay2, Gail Preston2, Jaime Carrasco2,3, Pablo Martinez3, and Jean M. van der Wolf1 1 Wageningen University and Research, Biointeractions and Plant Health, Wageningen, NL, 2 University of Oxford, Department of Plant Sciences, Oxford, UK, 3 Mushroom Technological Research Center of La Rioja (CTICH), La Rioja, Spain Background Casing soil is a complex substrate that is essential for the fructification of Agaricus bisporus mushrooms. Currently, casing soil mainly consists of peat, which is used because of its excellent physical, chemical and biological properties. However, peat excavation is associated with CO2- emissions and biodiversity loss. As such, the mushroom industry is looking for alternative casing materials that can be used to—partially or wholly—replace peat. We identified materials that can be used to partially replace peat without major negative effects on mushroom yield or disease incidence. Performance of alternative casing materials might be improved by the addition of beneficial microbes. Bacterial strains from peat have been isolated that potentially enhance fructification of the mushroom crop. Strains have also been identified that selectively inhibit fungal pathogens such as Lecanicillium fungicola (dry bubble disease) in vitro. Addition of selected biostimulant strains might thus help to overcome the drawbacks associated with the use of alternative casing materials and reduce the use of pesticides. Results Objective Experimental set-up Conclusions • Biostimulants had no effect on yield or dry bubble disease incidence. • Biostimulant A was able to persist in casing soil during two flushes. • Biostimulant B populations decreased rapidly in casing soil. Button mushrooms were grown on three different casing soils (peat, alternative I and alternative II) under standard conditions in an experimental mushroom facility for two consecutive flushes. Mushroom yield was determined in the absence vs. presence of biostimulants A, B or a mix of A, B, and C. Disease incidence following inoculation with Lecanicillium fungicola was determined in the absence vs. presence of biostimulants A, B or a mix of A, B, and C. Population dynamics of biostimulants A and B in the absence of Lecanicillium was determined using targeted TaqMan qPCR assays. Acknowledgements The work presented here was performed as part of the H2020 BIOSCHAMP project (Grant Agreement 101000651), which aims to take an integrated approach to tackle mushroom cultivation challenges. BIOSCHAMP partners are: the Spanish Associations of Mushroom Growers (ASOCHAMP), Research Center of Mushrooms (CTICH), Inagro vzw, Wageningen Research, IRNASA-CSIC, University of Oxford, Kekkilä- BVB, NEWFOSS, FERTINAGRO, EUROCHAMP, UGLK, EKOFUNGI and Innovarum. Wageningen University & Research P.O. Box 123, 6700 AB Wageningen Contact: florien.gorter@wur.nl T + 31 (0)317 48 44 45 Figure 4. Population dynamics of biostimulants in the absence of Lecanicillium fungicola. Absolute abundance determined using TaqMan assays. Ct = cycle threshold, i.e. number of PCR cycles required for the fluorescent signal to cross the threshold. Detection threshold: 35. Biostimulants were added at the beginning of the 1st and 2nd flush (orange arrows) and sampling was performed at multiple time points during the flushes. A) Biostimulant A. B) Biostimulant B. 0 5 10 15 20 25 30 35 40 45 T0 T1 T2 T3 T4 T5 T6 T7 Ct Sampling timepoints A 0 5 10 15 20 25 30 35 40 45 T0 T1 T2 T3 T4 T5 T6 T7 Ct Sampling timepoints B Figure 1. A) Agaricus bisporus growing in the experimental mushroom facility. B) Lecanicillium fungicola (dry bubble disease) causes deformations and brown spots on the mushroom (pictures from Berendsen et al., 2010, A = healthy, B-D = diseased). A B Figure 2. Effect of biostimulants


How does this discipline interpret the question? What methods would this discipline use to investigate the question? How would (someone in) this discipline know they had a good answer? Helping Hands… What expertise/ methods/norms of thought can you draw on from other disciplines to support or contrast? Additional notes. 3 Building Permeable Classroom Walls: Forming links across the curriculum What is the misperception/ boundary/ epistemology you are trying to address? Can this be checked in another classroom? Will the session(s) be co-taught? Taught separately across subjects? Draw on knowledge from other subjects Building on Current Practice 5-minute lesson plan – bridging subject boundaries Developing Epistemic Insight: How can the students be supported to answer these three questions? What is the Big or Bridging Question? Learning Objectives: Before they investigate, what Do they already need to know? How does this map on to other areas of the school curriculum? Is this building on existing knowledge? Challenging misperceptions? Acting as extension? 1 2 How ‘Green’ are electric cars? Science: Identify how fuel production is sourced RE/Stewardship: Discuss who holds responsibility and who we are responsible to and why when mining resources and taking care of the environment. Geography: Investigate the location of where fuel resources are mined Identify previous learning/gaps in learning. Science: batteries, electrolysis, disposal, rare resources/recycling RE/Stewardship: The ethics of enforcing electric cars Geography: Location of resources Economics: Affordability, Accessibility (Market forces) Science: Establishing sources for electricity (fossil fuels/renewables) and how they are mined, pollution RE/Stewardship: Consider who benefits and who is disadvantaged from electric car production (inc sourcing materials). Awareness of demand on resources, production processes, politics, monopolise materials. Science: Undertake reliable tests, and reproducible experiments. Field studies. RE/Stewardship: Investigate the impact on quality of life (i.e. emissions, noise, global versus local perspective, impact on wildlife, rights of individuals, changes to/effects on societal behaviour Science: Reliable data checked against wider sources (misperceptions by car co’s). Replicable and tested by multiple sources. RE/Stewardship: Focus on judgements, beliefs and values in religious texts, ethical principles. Justifying actions from religious texts or worldviews. Geography – location of resources, damage to the environment, impact on local population. Geography – fieldwork, data analysis focused on people, places and spaces. Geography (physical and human) - data collection is both quantitative (mapping, surveys) and qualitative (interviews). Is this purely a science question? Are the environmental benefits of electric cars overstated? Collaborate with teachers of other disciplines. Learn from colleagues by talking about the same topic/big question and share their expertise and space to break down classroom boundaries. Co-planning/co-teaching with other subject specialist to work on the same topic/question from various disciplinary perspectives.