Testing the formation mechanism of sub-stellar objects in Lupus (a SOLA team study) Brown dwarfs (BDs) are substellar objects with masses too low (M≤0.08MSUN) to burn hydrogen in their cores, some of them comparable with the mass of giant planets (M<0.013MSUN). Over the past two decades, a large number of brown dwarfs have been identified in star forming regions, open clusters, and in the field. However, it is still unclear how these objects form. The most widely discussed scenarios for the formation of BDs include turbulent fragmentation (Padoan & Nordlund 2004), disk fragmentation and subsequent ejection (Stamatellos & Whitworth 2009), photo-evaporation of massive pre-stellar cores (Whitworth & Zinnecker 2004), and ejection from multiple protostellar systems (Bate et al. 2002). Since stars and brown dwarfs evolve very rapidly during the first million years, the answer to the formation mechanism (or mechanisms) must be in the study of their properties when they are deeply embedded in the natal cloud, what we call the pre- and proto-BD stage. I. de Gregorio-Monsalvo1,2, C. López1,3; S. Takahashi1,4; A. Santamaría-Miranda2, 10, P. Cortés,1,3; F. Comerón2; A. Hales1,3; L. Knee5; D. Mardones6; K. Muzic7; A. Plunkett2; M. Saito4; K. Tachihara8; T. van Kempen9 , and the rest of the SOLA* collaboration. (1) Joint ALMA Observatory (Chile), (2) ESO (Chile), (3) NRAO (USA), (4) NAOJ (Japan), (5) CNRS (Canada), (6) U. Chile (Chile) , (7) CENTRA, U. of Lisbon (Portugal), (8) Nagoya U. (Japan), (9) SRON Netherlands Institute for Space Research, (10) U. Valparaíso (Chile), (*) Soul of Lupus with ALMA collaboration Submillimeter emission of substellar objects in Lupus I and III Lupus I and III southern molecular clouds are excellent laboratories to study the formation processes of sub-stellar objects. Our group (SOLA team) has identified a set of pre- and proto-stellar candidates of substellar nature using the literature as well as 1.1mm ASTE/AzTEC maps and analyzing its SED using our optical to submillimeter database. We performed ALMA continuum observations at 1.3mm and CO(2-1) using 0.8" spatial resolution towards the most promising pre- and proto-brown dwarfs candidates found in Lupus I and III molecular complexes. Our sample comprises 33 pre-stellar objects, 7 Class 0 and I objects, and 22 Class II objects. Lupus I Lupus III A B C D E F G H A B C D E F a b a b Fig 1 and 2: Central big maps represents Herschel SPIRE emission at 250 microns of Lupus I (left) and Lupus III (right). Smaller maps surrounding SPIRE maps are new ALMA continuum detections (> 6 sigma) at 1.3 mm. I Preliminary Results • Preliminary analysis of our data reveals ALMA continuum emission at 1.3mm in 17 source (see small panels in Figures 1 and 2), with object Lupus I-D being a submillimeter galaxy gravitationally lensed (Tamura et al. 2015) . Assuming the rest of the sources are associated to Lupus, we obtained a detection rate of ~30%. • Assuming emission at 1.3 mm is coming from dust, and adopting a Tdust = 10-15 K, a distance to Lupus d = 150-200 pc, a κν = 0.009 cm2 g-1 , and a gas to dust ratio of 100, we infer a Mass <0.013 Msun for all objects except for Lupus III-G (a known young stellar object surrounded by a protoplanetary disk), which falls into the range of planetary masses. • Using our multiwavelength SOLA catalog we checked for counterparts at other wavelengths and we analyzed the SEDs. LupusI- B, C, Ab, Fa, Fb, and E, and Lupus III – A, B, E, and F are deeply embedded protostars or starless pre-BD candidates, with no known counterpart at shorter wavelengths. Most of them are not resolved spatially and they would need to have a radius between 3 to 42 AU to be gravitationally unstable. Their real nature need to be further investigated. No extragalactic counterparts are found in the NED catalogue at the position of these objects. Lupus I – Aa is a sub-luminous (Lbol = 0.0026 Lsun) Class 0-I source, and Lupus III-C is a sub-luminous (Lbo l= 0.023 Lsun ) C


Affective Modeling of Users in Cognitive Elements Exercise Program for Design Creativity Enhancement Yong Se Kim, Mee Kim, Yun Kyoung Shin, Hyejung Henny Park, In-Sook Lee Post-test Improvement over Pre-test Association Rules: Less Negative Emotion Learning Improvement Creative Design Institute, Sungkyunkwan University, Korea Creative Design Learning Framework Affective Modeling Experiment Result Design Creativity Cognitive Element Exercise Program Filling Black Box Classification Negation Sensitization Making Stories Decision Tree Experiment Process: Pre-test Post-test Cognitive Elements of Creativity Flexibility http://pssd.or.kr Product- Service Systems Design http://cdi.skku.edu Self-Reporting Format Originality Elaboration Problem Sensitivity Cognitive Elements Fluency Pre-test: Reading Devise Concept Design Exercise Program Post-test: Camera Device Concept Design Pre-test and Post-test: Conceptual Design Task Contact: yskim@skku.edu


Mike Taylor, University of Wolverhampton, UK; Digital Science. Jenny Ghith, Pfizer, USA Open Access medical research (2011-23): OA journal articles are associated with accelerated research and socio-clinical impact BACKGROUND AND OBJECTIVES • Open Access (OA) has been predicted to accelerate medical science (Woelfle et al., 2011) and expand the audience for research (UNESCO, 2022). • The annual cost of OA publication fees has been estimated to be $2B (Zhang et al., 2022). • Other researchers have identified potential issues with the growth of poor quality OA research (Beall, 2015). • Previous limited research (Holmberg 2019; Taylor, 2023) has reported some advantages for OA publications, however such research has not addressed the phenomena at scale, nor attempted to understand the consequences of the dominance of OA research. CONCLUSIONS • The growth of OA research and the associated impact indicators suggest that OA has increased the overall level of coverage and discussion linked to medical research, and that different forms of OA are not equivalent. • Traditional journals, whether supported with strong preprint (Green) policies or mixed Gold/Bronze OA publishing dominate all forms of impact. • The explosive growth of Gold OA journals is not delivering accelerated impact. • Rates of discourse in News and on X / Twitter have dropped since COVID, although Green maintains a strong advantage. • There is no evidence that the gap between OA and non-OA closes over time. Beall, J. (2015). What the Open-Access Movement Doesn’t Want You to Know. American Association of University Professors. https://www.aaup.org/article/what-open-access-movement-doesn%E2%80%99t-want-you-know Holmberg, K., Hedman, J., Bowman, T. D., Didegah, F., & Laakso, M. (2019). Do articles in open access journals have more frequent altmetric activity than articles in subscription-based journals? An investigation of the research output of Finnish universities. Scientometrics. https://doi.org/10.1007/s11192-019-03301-x Taylor, M. (2023). Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status. Scientometrics. https://doi.org/10.1007/S11192-023-04653-1 UNESCO. (2022). Understanding open science. https://doi.org/10.54677/UTCD9302 Woelfle, M., Olliaro, P., & Todd, M. H. (2011). Open science is a research accelerator. Nature Chemistry 2011 3:10, 3(10), 745–748. https://doi.org/10.1038/nchem.1149 Zhang, L., Wei, Y., Huang, Y., & Sivertsen, G. (2022). Should open access lead to closed research? The trends towards paying to perform research. Scientometrics, 127(12), 7653–7679. https://doi.org/10.1007/S11192-022-04407-5/FIGURES/8 Gold in Open Journal Gold in Hybrid Journal Closed with Preprint (Green) Closed Bronze 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 0 100,000 200,000 300,000 400,000 500,000 600,000 700,000 Year of Publication # Publications Explosive growth in Gold in Open Journals over the decade Papers from 2023 still embargoed Increased in paid-for OA, decrease in preprint OA Growth in all forms of OA following federal / national funding policy changes Gold in Open Journal Gold in Hybrid Journal Closed with Preprint (Green) Closed Bronze 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 0.00 1.00 2.00 3.00 4.00 5.00 6.00 7.00 Year of Publication Annual Mean Citations per Year Citations are a lagging indicator, so lower rates expected in recent years, embargo still applies to 2023 publications Increased OA in traditional journals accelerated research during COVID Although in a minority, Green OA in Closed journals out-performs all other OA/non-OA publications Gold in Open Journal Gold in Hybrid Journal Closed with Preprint (Green) Closed Bronze 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 0.00 2.50 5.00 7.50 10.00 12.50 15.00 17.50 20.00 22.50 25.00 Year of Publication Mean Altmetric Attent


12x HWT or 12x K9R ∆HisC ∆HisC Increased chromatin accessibility and gene expression in K9R mutants. A-B) Ratio of K9R to HWT FAIRE-seq (A) or RNA-seq (B) signal prepared from third larval wandering (3LW) imaginal wing discs. Darker color indicates higher density of peaks. Published in Penke et al. (2016). A WT K9R H3 H3K9me3 H3K9me2 WT K9R Reduced H3K9me3 in K9R mutants. A) Immunofluorescence of polytene chromosomes prepared from 3rd instar larval (3LW) salivary glands. Blue, DAPI; Green H3K9me2; red, H3K9me3. Published in Penke et al. (2016). B) Western blot from total cellular histones from whole 3LW larvae. Published in Penke et al. (2016). RNA-seq signal K9R/HWT (log2) B RNA-seq FAIRE-seq A B H3K9me3 Cut-n-Run C B A A chr3R chr3L chr2R chr2R chr2L Future Directions Interrogating the role of the histone mark H3K9me3 in D. melanogaster Genome Organization and Gene Regulation Abstract H3K9R mutation results in loss of H3K9me3 and HP1 binding at pericentromeres Methodology Purpose and Hypotheses Acknowledgements UNIVERSITY of NORTH CAROLINA at CHAPEL HILL Dowen Jill & McKay Dan Labs Telomere architecture is maintained in H3K9R HP1 Background: H3K9me3 and HP1 The histone replacement platform. We delete the endogenous histone locus from chr2L (∆HisC) and insert a designer histone cassette harboring 12 copies of the replication-independent histone gene cassette to a chr3L. Mutant or wild type histones are expressed from the designer histone cassette (12x WT or 12x K9R) to replace all endogenous replication-dependent histones in the fly (McKay 2015). We investigate the role of H3K9me3-mediated HP1 binding in establishing architectural features by performing HiC in H3K9me3-deficient D. melanogaster. Given the roles for HP1 and H3K9me3 in heterochromatin structure, we hypothesize that H3K9me3-deficient flies will exhibit dramatic changes to genome architecture, particularly in transcriptionally silent (aka B) compartments and known regions of constitutive heterochromatin. Eukaryotic genomes are packaged into basic units known as nucleosomes, which are comprised of DNA wrapped around a bundle of 8 core histone protiens. Histone tails are post-translationally modified (PTM) to act as a substrate for effector proteins to bind. One such PTM, tri-methylation, occurs at lysine 9 on histone H3 (H3K9me3). H3K9me3 is canonically referred to as a heterochromatic histone mark, and has been implicated in repressing gene expression. H3K9me3 recruits an effector protein, HP1a, which has strong self-associating properties. It has been hypothesized that engagement of H3K9me3 by HP1 is responsible for establishing heterochromatin. Organization of chromatin in three-dimensional (3D) space impacts DNA-templated events by controlling the accessibility of transcriptional machinery to the underlying DNA sequence. Despite its importance in regulating genome function, the mechanisms controlling 3D architecture remain poorly understood. Here, we examine the contribution of histone post-translational modifications (PTMs), a feature of chromatin that is highly correlated with 3D genome organization, but whose role has not been directly tested. In particular, we interrogate the role for the heterochromatin-correlate, histone H3 lysine 9 trimethylation (H3K9me3), in governing 3D organization of the D. melanogaster genome. We directly test the contribution of H3K9me3 by using a genetic platform in which the endogenous histone gene locus has been deleted and replaced with transgenic versions encoding non modifiable histone H3K9. H3K9me3 provides a binding site for heterochromatin protein 1 (HP1), which has been implicated in liquid-liquid phase separation, a biophysical property that separates molecules in 3D space. Given this property of HP1 and it’s localization to H3K9me3, we hypothesize H3K9me3 demarcates regions of the genome that become physically separated from other regions of the genome. We perform a comprehensive analysis of genomics data, including Hi


AVG Art 5 Principes en Passende Technische & Organisatorische Maatregelen Marlon Domingus, Erasmus University Rotterdam marlon.domingus@eur.nl Februari 2021 Artikel 8 De bescherming van persoonsgegevens 1. Eenieder heeft recht op bescherming van zijn persoonsgegevens. 2. Deze gegevens moeten eerlijk worden verwerkt, voor bepaalde doeleinden en met toestemming van de betrokkene of op basis van een andere gerechtvaardigde grondslag waarin de wet voorziet. Eenieder heeft recht van inzage in de over hem verzamelde gegevens en op rectificatie daarvan. 3. Een onafhankelijke autoriteit ziet erop toe dat deze regels worden nageleefd. Rechtmatigheid Behoorlijkheid Transparantie Doelbinding Minimale gegevensverwerking Juistheid Opslagbeperking Integriteit Vertrouwelijkheid 8. Integriteit Toon AVG compliancy aan door: 8.1. monitoring van logging mbt toegang tot en wijziging van de data. 8.2. gebruik maken van Privacy Enhancing Technologies (PETs), en de versleuteling van data in rest en in transit. 9. Vertrouwelijkheid Toon AVG compliancy aan door: 9.1. monitoring van logging mbt toegang tot en wijziging van de data. 9.2. gebruik maken van PETs, waar mogelijk obv zero trust architecture en geldige ISO certiﬁcaten voor de beveiliging van de data en de systemen en de communicatie daarmee. 1. Rechtmatigheid, 2. Behoorlijkheid en 3. Transparantie Toon AVG compliancy aan door: 1. wettelijke grondslag voor de verwerking van persoonsgegevens in het onderzoek, gedocumenteerd in: onderzoeksplan, register van verwerkingen en indien relevant in het consortium agreement en de DPIA. 2. doel van het onderzoek beschreven in onderzoeksplan, register van verwerkingen, het privacy statement van het onderzoek (publiek online toegankelijk) en, indien relevant in het toestemmingsformulier en DPIA. 3. Beschrijvingen van doel van onderzoek en evt risico’s, helder en transparant, in eenvoudig taalgebruik en beknopt. 4. Doelbinding Toon AVG compliancy aan door: 4.1. gedocumenteerde onderbouwing van te verwerken data in onderzoeksplan, register van verwerkingen en evt DPIA. 4.2. gedocumenteerde onderbouwing van het doel van de verwerking(en) in het onderzoek in het privacy statement (publiek online toegankelijk), en, indien van toepassing, in het toestemmingsformulier. 5. Minimale Gegevensverwerking Toon AVG compliancy aan door: 5.1. gedocumenteerd en onderbouwd gebruik van alleen gegevens relevant voor het doel van het onderzoek, indien relevant: getoetst door een internal review board (IRB). 5.2. gedocumenteerde toegang binnen de onderzoeksgroep op basis van need to know in een autorisatiematrix. 5.3. gedocumenteerd gebruik van zero knowledge diensten (leveranciers hebben waar mogelijk by default geen toegang tot persoonsgegevens). 5.4. gebruik van gepseudonymiseerde data, geaggregeerde data indien mogelijk of van synthetische data. 6. Juistheid Toon AVG compliancy aan door: 6.1. toetsing van te gebruiken methodiek, bestaande datasets en nieuwe dataverwerkingen door een IRB of, indien relevant: Ethische Commissie. 6.2. documentatie van onderzoeksdata en wijzigingen in de onderzoeksdata, ook ten behoeve van pseudonimisering, in een data dictionary of codeboek. Geldt ook voor beschrijven en beheren van data linkage, sleutelbestanden van pseudonymisering en bewerkingen tbv pseudonymisering. 7. Opslagbeperking Toon AVG compliancy aan door: 7.1. documentatie vooraf, in het datamanagement plan, van de te hanteren bewaartermijnen van ruwe data, analysedata en verschillende versies van bewerkingen van data en media. Ook van de termijn van archivering en wie op welke wijze toegang mag krijgen voor welk doel. 7.2. bewaartermijnen zijn opgesteld cf de VSNU gedragscode wetenschappelijke integriteit, de Archiefwet, en beleid van de instelling. AVG Art. 5.1.Beginselen inzake verwerking van persoonsgegevens Handvest van de Grondrechten van de Europese Unie Art. 8.


Led by STAKEHOLDERS CHALLENGES AMBITION Improve pricing policies system with local stakeholders Maintain the quality of surface water, fight against saline untrusions Need of investment in infrastructures Improve the socio-economic performance of local water pricing policies Improve the vertical (between stakeholders at different levels) and horizontal (between local stakeholders) dialogues Fostering the co-construction of public water policies, with a focus on the crossed sectors Improving the citizen engagement by providing relevant socio- economic information and tools Local Water Agency DEAL La Réunion Parliamentary Attaché Chamber of Agriculture Electricité de France Water compagnies Representatives of water users INNWATER PARTNERS RÉUNION ISLAND France Pilot Site #1 CONTACT: Michel PAUL - michel.paul@univ-reunion.fr This project has received funding from the European Union’s Horizon EUROPE research and innovation program under grant agreement No. 101086512. This project was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [grant number 10066637]. contact.innwater@oieau.fr www.innwater.eu © OiEau 2023 @InnWater_EU @InnWater A consortium gathering 13 organisations (Research and Technology Organisations, SMEs, end users, associations with EU and international coverages). Promoting social innovation to renew multi-level and cross‑sector water governance


group II AG006_mChr3_MAX5 References 1. Latorre et al. BMC Biology (2020). 2. Langner et al. PloS Genetics (2021). 3. de Guillen et al. PloS Pathogens (2015). Mini-Chromosomes as Horizontal Gene Shuttles in the Multihost Blast Fungus A. Cristina Barragán1, Sergio M. Latorre2, Angus Malmgren1, Adeline Harant1, Joe Win1, Kurt Lamour3, Hernán A. Burbano2, Sophien Kamoun1 and Thorsten Langner1 1The Sainsbury Laboratory, University of East Anglia, Norwich, UK 2Centre for Life’s Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, UK 3Department of Entomology and Plant Pathology, University of Tennessee, USA M. oryzae infects both rice and wild grasses across Italy’s Po Valley + ++ + - deletion complementation host virulence Mini-chromosome content in M. oryzae includes “alien” mini-chromosomes of unknown origin Working Model “alien” mChr3 in AG006 “Alien” mChr3 from rice-infecting AG006 is similar to Lolium & Triticum M. oryzae group −150 −100 −50 0 50 normalized variant depth “Alien” mChr3 carries MAX effector3,4 which is present across multiple M. oryzae lineages mini-chromosomes may act as horizontal gene shuttles, promoting host adaptation Triticum Lolium Leersia Cenchrus Bromus Elinorus Urochloa Echinochloa Avena Digitaria Zea Oryza Setaria Panicum group I Brachiaria Rhynchelytrum Hordeum Eragrostis Eleusine Pennisetum Inferred AG006 mini-chromosome (mChr) composition Sampling trip August 2021 M. oryzae M. oryzae wild grasses as reservoirs for genetic variation rice M. oryzae mChr Common host plants Echinochloa Cyperus What other fungi are found in and around rice fields in the Po Valley? Ribosomal sequences SSU LSU 5.8S ITS1 ITS2 413 M. oryzae strains collected from different hosts NG0153 W-NGR-58 W-NGR-13 NG0135 W-NGR-59 NG0054 NG0012 W-TOG-5 W-TOG-5- W-GHA-7 CD0203 E-BRD-54 KA1-3-1 NG0104 NG0110 WD-3-1 1 BN0252 BN0293 W-BEN-12 W-BEN-12- W-GHA-7- AV1-1-1 W-BEN-11 CH0680 HN10-1604 GD-05-029b BF32 W-BKF-15- CH0328 FJ2000-69A FJ13SH05-2 Sar-2-20-1 SC-10-120-65-2 YN07205e CH0595 FJ99138 FJ72ZC7-77 FJ95085AZB13-116 GD06-53 CH0549 CL3.6.7 ML0025 KE415 UG08 E-RWD-4- E-UGD-47 E-TZA-22- A-PH-38 E-UGA-34 BD0024 MD0929 BF17 W-BKF-16 BF48 CM0028 ML0060 364 GY0040 CL0026 E-BRD-52 E-BRD-55 W-BFA-16- CD0073-1 FJ98099 FJ11SH-527-1 FJSH0703 SC-10-25-44-1 FJ11YD-673-1 HN-158 GD08-2025 FJ0204804 H08-1a H08-1c FJ2003-001A1 FJ2005113B FJ2001-112B FJ2000-62A MG10 NP0061 FJ12JN-084-3 FJ2006-60A3 658 678 NP0041 A-PHL-39- PH0103 A-PH-71 10100 PH0118 Nich-2-3-2 Nich-2-7-4 Sar-AD3-5 10880 LA0005 TH0014 TH3 TH0017 TN0001 TN0002 KE491 - 1 2 - A Z T - E 0 7 - A Z T - E 0 9 0 0 N T 1 2 0 0 A L 9 9 9 0 H C 9 1 0 1 H C CH0043 CH1164 CH1103 VT0030 VT0027 TG004 W-NGR-14 TG0032 TG0004 W-TOG-6 W-MAL-17 W-MAL-18 ML0062 CD0065 IN0054 IN0114 IN0115 IN0116 E-UGD-32 13FM-24-1 13FM-5-1 70-15 76 3 Guy11 GUY-56 CD0142 KA2-1-1 VO104 CH0072 E-TZA-25 E-TZA-69 TN0050 KE473 E-TZN-24 E-TZN-22 E-TZN-27 TN0057 TZ090 KE210 KE255 E-KYA-65 KE332 E-UGD-36 KE443 B157 IN0072 CH0701 HB-14 IN0082 MG01 IN0059 IN0017 MG02 BN0123 W-BKF-15 IN0094 US0031 VO108 VO113 KE002 KE029 KE021 KE017 KE019 E-KEN-29 KE016 KE041 NP0037 CH0452 CH0333 YN08181e YN8773R-27 CH0461 YN8773-19 CH0532 YN08182c 13FM-16-1 YN072313 JUM1 US0041 CH1016 HB-LTH18 TW-12YL-TT4-1 TW-6-43-1 TW-PT1-1 TW-12YL-DL3-2 JS09-138 JS-10-6-1-2 CH0092 82 0835 FJ81-JY E-RWD-43 AG038 BJ-90-611 SP0005 DB11-621 BJ08-8 BJ08-8-1 NP0052 TW-12TN-HB2-2 TW-12YL-DP1-1 TW-12CY-TB1-2 TW-PT6-1 TW-12HL-YL2-1 TW-CYBP1-3 TW-TN4-2 TW-PT3-1 TW-12TD-RH1-1 TW-1-1-1-B-1 TW-2-7-2-A-1 AG059 San Andrea EG308 13FM-3-2 13FM-9-1 YN072311 YN126311 YN126441 E-BRD-1- E-RWD-41 CH0860 YN072310 FJ86061ZE3-39 HN0001 TW-12HL-DF1-2 TW-6-2-2-B-1 JS08-611 JP0010 AG098 PR003 AG039 IT0010 FR13 MC0016 US0098 W-BEN-9 BN0202 AG0004 BR0026 AG032 TR0025 E-UGD-49 AG002 AG006 PR0009 FJ81-ZP JX11-141 FJ81221ZB11-14 GLHN3 GLHN4 FJ95054B ZJ00-10 ZJ2011-7-1 ZJ08-41 FJ81-MH FJ78-JJ CH0052 FJ86-CT FJ81-SW JX-09Z116-1 JX10-102 INA168 90 4


Molecular tracing of dissemination routes of Salmonella spp, Hepatitis E virus and other viruses as fecal indicators in pigs at slaughterhouse Ianiro G.1, Pavoni E2., Alborali G. L.2, Guadagno F.2, Delibato E.1, Treglia I.1, De Sabato. L.1, Monini M.1, Ostanello F.3, Di Bartolo I.1 1 Istituto Superiore di Sanità, Rome, Italy 2 Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini", Brescia, Italy 3 University di Bologna, Scienze Veterinarie, Bologna, Italy RESULTS & DISCUSSION 4th One Health European Joint Programme Annual Scientific Meeting - 11th-13th April 2022, Orvieto, Italy AIM The aim of this study was to investigate the occurrence of Salmonella spp. and hepatitis E virus (HEV) in pig slaughterhouses, and to identify critical points of the slaughter chain associated with the fecal contamination of carcasses. To this purpose, the detection of animal fecal indicators (porcine adenovirus PAdV, Torque teno sus virus TTSuV and group A rotavirus RVA) was also performed. Swabs were collected from 2 abattoirs in Italy at the end of the slaughtering cycle before cleaning. Environmental (floor, lairage, and trucks), equipment (knives and splitter) and external part of carcasses were sampled. HEV, RVA, TTSuV, PAdV and Salmonella spp. were detected by Real time PCR. Salmonella detection was confirmed by EN ISO 6579- 1:2017. Artificial contamination of samples was performed by using murine norovirus (MNV) to assess the nucleic extraction recovery rate. No samples were positive for HEV. Salmonella spp. was detected in one slaughterhouse, in 2 swabs sampled on the floor under the evisceration station and at lairage (Table 1). The result highlights the presence of Salmonella spp. positive pigs, able to shed the pathogen in feces in both the contaminated areas. In both abattoirs, the presence of PAdV was revealed (7/23 swabs) in several points, including external part of carcasses which was probably cross-contaminated by feces for improper handling (Table 1). Sus TTV was also revealed in both abattoirs (6/23) (Table 1). However, since it can be retrieved in blood and feces, we cannot establish if it is linked to fecal contamination. CONCLUSIONS Results confirmed that Salmonella spp. carriage may occur in pigs at slaughterhouses. HEV is rarer and co-infection with other viruses is frequent. The application of GHP is a main factor for managing carcass contamination at slaughterhouse. METHODS Funding acknowledgement This work was partially supported by funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 773830: One Health European Joint Programme and from Italian Ministry of Health, grant RF-2016-02361926 (Ricerca Finalizzata anno 2016). Sample Recovery Rate (MNV) HEV TTV PAdV RVA Salm spp. Sampling Site Date ISS1 Not sampled Floor truck after washing ISS2 33.22% 0 0 pos 0 pos Lairage pens (floor) before cleaning 14 July 2021 ISS3 22.38% 0 pos 0 0 0 Scalding water tank caroussel arm 14 July 2021 ISS4 21.92% 0 0 pos 0 0 Surface at 2-knives system tank 14 July 2021 ISS5 100.00% 0 0 0 0 0 Carcass splitter surface 14 July 2021 ISS6 100.00% 0 pos 0 0 0 Evisceration knife 14 July 2021 ISS7 11.19% 0 pos pos 0 pos Evisceration step (floor) 14 July 2021 ISS8 22.22% 0 0 pos 0 0 Outer surface of 3 carcasses after evisceration 14 July 2021 ISS9 100.00% 0 pos 0 0 0 Outer surface of 3 carcasses after evisceration 14 July 2021 ISS10 68.30% 0 0 0 0 0 Outer surface of 3 carcasses after evisceration 14 July 2021 ISS11 95.93% 0 0 0 0 0 Outer surface of 3 carcasses after evisceration 14 July 2021 ISS12 100.00% 0 0 0 0 0 Outer surface of 3 carcasses after evisceration 14 July 2021 BS1 100.00 0 0 pos 0 0 Floor truck after washing October 2021 BS2 37.57 0 0 0 0 0 Lairage pens (floor) before cleaning October 2021 BS3 42.82 0 0 0 0 0 Carcass splitter surface October 2021 BS4 12.44 0 0 pos 0 0 Scalding water tank caroussel arm October 2021 BS5 25.14 0 pos 0 0 0 Evisceration


Citations 1. Vidal, M., Cusick, M., & Barabasi, A.L., 2011. Interactome Networks and Human Disease. Cell. 986-998. 2. Sahni et al 2015. Macromolecular Interaction Perturbation Human Disorders. Cell. 161:3, 647-660. 3. Fragoza, R., et al 2019. Extensive disruption of protein interactions by genetic variants across the allele frequency spectrum in human populations. Nat Comm. 4.Albers & McVean 2020. Dating genomic variants and shared ancestry in population-scale sequencing data. PLoS Biology. 18(1):e30000586. Conclusion Takeaways ●Taken together, the younger age and lower chance of lying in long ROH suggest that PPI disruptive variants are indeed deleterious. ●And simulations show that recent demography can push recessive deleterious mutations to higher frequencies as observed in PPI disruptive variants, although the vast majority of common polymorphisms are neutral. Population Genetic Attributes of Variants That Disrupt Protein-Protein Interactions Mitchell G. Lokey1,2, Robert Fragoza1, Philipp W. Messer2, Haiyuan Yu1,2, Andrew G. Clark1,2 1Department of Molecular Biology & Genetics, Cornell University, Ithaca, New York 14853, USA 2Department of Computational Biology, Cornell University, Ithaca, New York 14853, USA Email: mgl77@cornell.edu @mitch_lokey Background • We seek improved methods to discover genotype to phenotype relationships. One approach to this problem focuses on the network of macromolecular interactions known as the interactome. Of great importance for cellular function, and our focus here, are networks of Protein-Protein Interactions (PPIs).1 • Yeast-2-Hybrid (Y2H) and similar assays have allowed mapping of the human protein interaction network by identifying large numbers of binary PPIs.1 • Studies of the effects of disease-associated variants on the known network of PPIs have shown that ~1/2 of tested Mendelian disease- associated variants disrupt PPIs.2 • Until recently, no work had looked at the extent to which naturally segregating variants in the human population affect PPIs. Fragoza et al (2019) sampled variants from the ExAC database and tested PPIs of >2,000 non-synonymous SNPs (nsSNPs) with the Y2H assay.3 • Fragoza et al (2019) showed that 10.5% of tested variants disrupted PPIs, a larger estimate of functional variation than previously reported. Surprisingly they also found that disruptive variants often segregate at relatively high allele frequencies.3 • As the links between cellular phenotypes, such as PPIs, and impacts on fitness are not straightforward we seek to illuminate population genetic attributes of PPI disruptive variants by leveraging large human databases and simulations. Future Directions ●Investigating the evolutionary signatures of PPI disruptive variants may help us to better identify which variants within a protein interaction network are important for disease. ●The results presented here should be tested against a control set of variants with similar allele frequencies. Acknowledgements ●This work is supported by NIH grant R01 GM125639 to H. Yu and A.G. Clark ●Clark Lab ●Messer Lab ●Yu Lab ●Sarah Kunz Naturally Segregating Variants & PPIs • Fragoza et al investigated fitness impacts of PPI variants using PolyPhen-2 a machine learning tool that probabilistically classifies the deleteriousness of missense mutations. PolyPhen-2 scores show that PPI disruptive variants are more deleterious than non-disruptive and even more so for variants that disrupt all of their PPIs. • Theory tells us that deleterious variants such as disease-associated variants, and likely PPI disruptive variants, will be kept at low allele frequencies due to purging selection. However, Fragoza et al found that although ~20% of very rare variants disrupt PPIs, ~9.6% of common variants (allele frequency > 10%) also disrupt PPIs.3 • To better understand the evolutionary history and impact of PPI disruptive variants we first looked at the ages of our disruptive and non-disruptive variants using Genealogical Estimati


The research leading to these results has received funding from the project titled "Cluster for innovative energy" in the frame of the program "HORIZON-MSCA- 2022-SE-01" under the Grant agreement number 101129820 REGIONAL SYSTEM OF ALTERNATIVE ENERGY SOURCES dr. Marcin Rabe, Institute of Management, University of Szczecin; Centre of Sociological Research, Szczecin, Poland; marcin.rabe@usz.edu.pl dr. Katarzyna Widera, Faculty of Economics and Management, Opole University of Technology, Opole, Poland; k. widera@po.edu.pl dr. Andrzej Gawlik, Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, Szczecin, Poland; andrzej.gawlik@zut.edu.pl mgr Tomasz Pudło, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Poland, pudlo.tomasz95@gmail.com Methodology Results The main goal is to identify and analyze the conditions relating to the conduct of regional energy policy, with particular emphasis on unconventional energy sources occurring in a given area. The methodological goal is to build a mathematical model of the regional energy system, related to the region's development strategy in specific time periods (years), and to generate development scenarios taking into account sustainable development criteria, i.e. economic, ecological and social. The aim of the work is to propose to regional authorities the desired direction of energy policy development in the analyzed periods and to offer a model for creating energy policy in other local government units: counties and communes. Research hypothesis It is advisable and possible to build a regional system of obtaining energy from alternative sources, meeting the principles of sustainable development, increasing energy security and increasing energy efficiency and full use of renewable energy sources. The research also formulated three specific hypotheses. The first one concerns the lack of interest in building regional energy systems, both on the part of the central energy sector and regional and local authorities, caused by the variability of EU and national regulations, which do not support the development of prosumer and renewable energy. The second concerns the lack of appropriate infrastructure for the development of renewable energy The third one concerns the high risk and uncertainty of investments in renewable energy in the current legal and economic conditions . Results .


Iterative fast equivalent-layer technique INTRODUCTION The equivalent layer technique (Dampney, 1969) has been used for: 1) interpolating and gridding data, 2) computing the upward (or downward) continuation of data, 3) computing the reduction to the pole of magnetic data, 4) merging multiple datasets and, 5) jointly processing multiple components of airborne gravity gradient data. The classical equivalent layer technique consists in constructing a linear system of equations and solving a linear inverse problem to estimate a set of coefficients describing a discrete layer of equivalent sources. Usually, the equivalent layer technique deals with intractable large-scaled matrix computations for processing large data sets. This obstacle propels the development of computational strategies to make the equivalent layer technique computationally efficient. APPLICATION TO REAL DATA BACKGROUND AND NEW INSIGHTS The Dirichlet integral, that is also called upward continuation integral (Henderson, 1970) is defined as: CONCLUSIONS • A new fast iterative equivalent-layer technique for processing gravity data grounded on excess mass constraint. • Iteratively, our approach estimates the mass distribution that fits the gravity data within the measurement errors. • The initial approximation to a mass distribution is proportional to the gravity observation • Iteratively, we estimate a mass distribution correction that is proportional to the residual gravity data. • This mass distribution correction is the excess mass constraint. • The algorithm has low processing time and computer memory usage AIM Faced with the demand for fast and computationally efficient equivalent layer method able to handle with large datasets, we have developed a new iterative equivalent layer technique that do not solve linear systems. We validate our method using synthetic and real data. For full details of the proposed method please read Siqueira et al. (2017). ACKNOWLEDGEMENTS This research is supported by the Brazilian agencies CNPq (307135/2014-4) and FAPERJ (E-26/203. 091/2016) and CAPES. The authors thank Bell Geospace Inc. for permission to use the real data. REFERENCES Dampney, C. N. G. [1969] The equivalent source technique. Geophysics, 34, 39–53. Henderson, R. G. [1970] On the validity of the use of the upward continuation integral for total magnetic intensity data. Geophysics, 35, 916–919. Grant, F. and G. West [1965] Interpretation theory in applied geophysics: McGraw-Hill. Oliveira Jr, V.C. and Barbosa, V.C.F. [2013] 3-D radial gravity gradient inversion. Geophysical Journal International, 195, 883–902. Siqueira, F.C.L., Oliveira Jr, V.C. and Barbosa, V.C.F. [2017] Fast iterative equivalent-layer technique for gravity data processing: A method grounded on excess mass constraint. Geophysics, 82, G57–G69. Uieda, L., Oliveira Jr, V. C. and Barbosa, V. C. F. [2013] Modeling the Earth with Fatiando a Terra. Proceedings of the 12th Python in Science Conference, 91–98. CONTACT INFORMATION valcris@on.br – OBSERVATÓRIO NACIONAL, RIO DE JANEIRO, BRAZIL FILLIPE C. L. SIQUEIRA1, VANDERLEI C. OLIVEIRA JR1 and VALERIA C. F. BARBOSA1 1 Observatório Nacional, Rio Janeiro, Brazil                               d d z z y x z z g o i i i o i 1 ) , , g( 2 1 2 / 1 2 2 2 N Potential-field observations can be exactly reproduced by a continuous and infinite 2D physical-property distribution Potential-field observations produced by a 3D physical-property distribution Equivalent-layer principle y x E Depth z 2D physical-property distribution • This 2D physical-property distribution is approximated by a finite set of equivalent sources arrayed in a layer with finite horizontal dimensions and located below the observation surface. We assume that the set of equivalent sources are distributed in a regular grid with a constant depth zo forming an equivalent layer y x N E z Depth Layer of equivalent sources Equivalent sources (e.g., point masses) zo where gi ≡


Daya Bay, Double Chooz and RENO combined analy- sis J. Garc´ıa Belloa, B. Vargas Perezb, J. Garc´ıa-Raveloc, Dionisio Tund, Carlos L´opez Limae Instituto Polit´ecnico Nacional, Escuela Superior de F´ısica y Matem´aticas, Departamento de F´ısica, Unidad Profesional Adolfo L´opez Mateos, Mexico City, Mexico. Jes´us Escamilla Roaf Instituto Polit´ecnico Nacional, Unidad Profesional Interdisci- plinaria de Ingenier´ıa, Ciudad del Conocimiento y la Cultura, Hidalgo, Mexico. afisjorge@live.com, bfis.vargas.perez@gmail.com, cg.ravelo@hotmail.com, ddtun@outlook.com, ecarlosomega40@hotmail.es fjesus.escamilla.roa@gmail.com Abstract Through a global statistical analysis from the public experimental data of the three LBL reactor experiments, Daya Bay, Double Chooz and RENO. We obtain the Daya Bay, Double Chooz and RENO conﬁdence regions for the neutrino oscil- lation mixing angle θ13 and the effective squared mass difference ∆m2ee in the three neutrino mixing model. Our single results are consistent with those published by the collaborations and corroborate that this statistical analysis improves individual results. Introduction The main objectives of Double Chooz, RENO and Daya Bay experiments are the precise measurement of the mixing angle θ13 and the ∆m2ee, [1][2]. These experiments detect reactor Anti-neutrinos by means of Inverse Beta Decay, mea- suring the positron kinetic energy produced. The three-ﬂavor survival probability P of a νe with energy Eν(MeV) after traveling a distance L(m), is given by P(ee) = 1 −sin2(2θ13)sin2 (1.27∆m2eeL Eν ) −cos4 θ13 sin2(2θ12)sin2 (1.27∆m2 12L Eν ) (1) where θ12 and ∆m2 12 are ﬁxed by others experiments. The average survival probability in the ith energy bin, P i is used to determine oscillation parameters. 1 Double Chooz The Double Chooz collaboration determined sin2(2θee) = 0.090+0.032 −0.029, without showing conﬁdence regions and using the value obtained by MINOS of 2.44+0.09 −0.10 × 10−3eV2/c4 for ∆m2ee in a simpliﬁed two ﬂavor mixing model, [3]. Double Chooz was designed to run with two detectors located at LF = 1050 m, (Far), and LN = 400 m, (Near). We use only the Double Chooz far data in χ2 tests to determine both sin2(2θ13) and ∆m2ee as well as their conﬁdence regions1. The experiment measures visible energy between 0.5 and 20 MeV, divided into 40 bins. The Rate + Shape analysis is determined by the function χ2 DC = 40 ∑ i=1 40 ∑ j=1 (N obs i −N exp i )M −1 ij (N obs j −N exp j ) + χ2 δE(ϵa,ϵb,ϵc) + 5 ∑ k=1 ϵ2 k σ2 k + χ2 off. (2) N obs i (N exp i ) are the observed (expected) number of IBD in the ith energy bin, Mij is the co- variance Matrix and N exp i is proportional to the expected number of antineutrinos without oscillations, nexp i , and to the average survival probability. Also, we write N exp i as follows N exp i = nexp i Pi(θ13,∆m2ee,L) + f(ϵ1,...,ϵ4), where the last term is a correction due to the background sources. Eight systematic uncertainties are considered in the second and third terms of χ2 R+S, using pull parameters ϵx. The fourth term in (2) is the contribution when the two reactors are turned off. We report the minimization of the function χ2 R+S and its level curves Fig. 1. Figure 1: It is shown the behavior of the χ2 DC statistics for Double Chooz and its con- ﬁdence regions up to 68, 95 and 99% of C. L. for (sin2 2θ13, ∆m2ee) for Full Covariance Matrix analysis. This graph is an improvement of the shown in [2]. This is because we have used a three mixing model and we have taken in account the Double Chooz collab- oration suggestions. In this case, we do not obtain two disjoint regions and the value for ∆m2ee is in good agreement with the currently acepted value. 2 RENO analysis The RENO collaboration determined sin2(2θee) = 0.0896 ± 0.0067 and 2.68 ± 0.13 × 10−3eV2/c4 for ∆m2ee, [5]. RENO runs with two detectors and six nuclear reactors in a linear conﬁguration. We use only the RENO far data in χ2 tests to determine both sin2(2θ13) and ∆m2ee as well as their conﬁd


Facilitating Effective Collaboration under the JWCRP using the JASMIN Platform Ag Stephens (ag.stephens@stfc.ac.uk). Science & Technology Facilities Council, Didcot, Oxon, OX11 0QX. UPSCALE - massive HPC outputs, transfers and analyses! MONSooN HPC Overflow Converting Climate runs to CF-NetCDF Atmospheric Dispersion Modelling Regional Climate Modelling 4. RUN YOUR OWN VMs (Root included!) 1. SHARE “LARGE” DATA WITH COLLABORATORS 3. EFFICIENT DATA TRANSFERS The Joint Weather & Climate Research Programme ( ) is a shared programme between NERC and the Met Office. Its goals are to ensure that the UK maintains and strengthens its leading international position in weather and climate science, and hence in weather and climate forecasting and provision of advice for policy. The JWCRP involves a commitment to sustain and grow the UK's national capability and research in observing, understanding, modelling and predicting weather and climate, along with the infrastructure required to deliver that national capability and research. It also focuses on aligning major research initiatives and programmes to ensure the most effective impact of that research and pull-through into the delivery of services to government and business. B. N. Lawrence, V. Bennett, J. Churchill, M. Juckes, P. Kershaw, P. Oliver, M. Pritchard & A. Stephens (2012). The JASMIN super-data-cluster. http://arxiv.org/abs/1204.3553 Pascoe, S. (2013). Growing a community analysis platform with JASMIN and the Community Intercomparison Suite. NCAS Staff Meeting 2013. Poster. Stephens, A. (2013). Running the Met Office NAME dispersion model on the JASMIN computing platform: A new community tool and trajectory service. NCAS Staff Meeting 2013. Poster. UM Conversion Tool page on the CEDA Services wiki: http://proj.badc.rl.ac.uk/cedaservices/wiki/JASMIN/SupportForScience/UMConversionTool JASMIN website: http://www.jasmin.ac.uk JWCRP website: http://www.jwcrp.org.uk CEDA website: http://www.ceda.ac.uk is a data and computing platform designed to meet the needs of scientists working with very large datasets that require complex and computationally expensive analysis. Managed by STFC’s Centre for Environmental Data Archival (CEDA) the platform now holds the complete archives of the NCAS BADC and NEODC. JASMIN also provides access to high-performance disk, a virtualisation environment, compute cluster and high-speed networking. Satellite nodes are deployed in the Universities of Leeds, Bristol and Reading. Plans to expand this capability are being developed. The JASMIN computing platform at NCAS BADC provides access to high-performance disk, a virtualisation platform, compute cluster and high-speed networking. One key aspect from the NCAS perspective is that resources are equally accessible to researchers in UK universities and the UK Met Office. This makes JASMIN an excellent candidate for hosting services to support collaborations under the Joint Weather and Climate Research Programme (JWCRP). 2. ANALYSE DATA 5. PARALLEL PROCESSING Specific projects may require dedicated computing resources and/or specific software environments. JASMIN provides root access to project-specific virtual machines so that external administrators can build and maintain specialised environments with minimum overhead and support. Projects, such as those discussed below (UPSCALE, NAME and PRECIS), typically marry this provision with a Group Workspace to store their inputs and outputs. Many projects are making JASMIN a focal point for collaboration by setting up a “Group Workspace”. This is a shared disk made accessible to a chosen group of scientists working on the same project. Group Workspaces currently range between 5Tb and 380Tb in size. Typically they are used for: • Sharing large data – pushing from remote sites • Accessing data – retrieving to remote sites • Analysing data – space for storing big outputs • Intercomparison – comparing data with established archived datasets, such as CMIP5 and ERA-Interim


To achieve the objectives, the following tasks will be carried out: Design of a separation system for the closed-loop superheated steam drying process in the paper industry Felipe de Oliveira a*, Marcel Meinders b, Edwin Zondervan a a University of Twente, Drienerlolaan 5, 7522 NB, Enschede b Wageningen University & Research, Droevendaalsesteeg 4, 6708 PB, Wageningen Methodology Introduction Questions / Tips References Objectives ➢Validated contaminant separation model with device cleaning mode ➢Optimized operational scheduler to minimize energy use and CO2 emissions ➢Feedback control loop ➢User-friendly digital twin The paper industry is highly energy-consuming with the paper drying step accounting for 70% of the energy requirements, i.e. there is scope for improvement [1], [2]. Scheme of the main units of a typical paper-making process De-barker Chipper Digester Dryer Mixer Wood Paper Superheated steam drying can reduce energy use by 70% compared to traditional air drying [2]. As the paper is dried, the steam is contaminated, causing operational issues and reducing the efficiency of the process. Effective contaminant control is needed for a closed-loop process. [1] – Eurostat: Final energy consumption in industry - detailed statistics – Retrieved from: https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Final_energy_consu mption_in_industry_- _detailed_statistics#The_largest_industrial_energy_consumers_in_the_EU [Accessed on 2024-07-05] [2] – Wilk, V., Knöttner, S. B., Drexler-Schmid, G., & Barz, T. (2023). Superheated steam drying for paper production: process efficiency assessment. In Proceedings of ECOS 2023: 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (pp. 1411-1421) https://doi.org/10.52202/069564-0128 - Units of the paper process scheme designed by Freepik Separation / device cleaning model • Review separation technologies • Analyse contaminated steam composition • Select separation technology • Model contaminant separation from steam • Model device cleaning process • Integrate models with switching capability • Experimental validation of model Process optimization • Identify performance indicators • Optimization constraints • Develop an optimization algorithm • Propose an operational scheduler System Implementation • Develop the feedback control loop • Create the digital twin Separation mode Device cleaning mode Feel free to ask or send me an e-mail using the QR code below Expected outcomes Deliverables on the left with the related tasks on the right Optimized operational scheduler Controller Process Correcting device Measuring device Setpoint Feedback control loop and digital twin


The X/Ka-band (8.4/32 GHz) 2024a Celestial Reference Frame C.S. Jacobs1, S. Horiuchi2, D. Firre3, Y. Murata4, H. Takeuchi4, T. Uchimura4 13th International VLBI Service General Meeting, Tsukuba, Japan, 4-9 March 2024 (1) Jet Propulsion Laboratory, California Institute of Technology (2) Canberra DSCC/NASA, CSIRO, Australia, (3) European Space Agency, Darmstadt, German (4) JAXA, Sagamihara Kanagawa, 252-5210, Japan Abstract: The X/Ka-band (8.4/32 GHz) Celestial Reference Frame became one of three components of the ICRF-3 in 2018. In the five years since, the X/Ka data set has increased by about 93% as well as adding the much needed north-south geometry from Japan to Australia. The latest solutions have 686 sources with median formal precisions of 43 μas in α cosδ and 62 μas in δ. The large spherical harmonic distortions seen in the ICRF3-X/Ka are greatly improved with the Z-dipole term reduced from 314 μas to a statistically insignificant -49 +- 40 µas and with the quadrupole 2,0 magnetic term of 186 +- 15 µas and a quadrupole 2,0 electric term of 80 +- 24 µas. We note that the X/Ka frame is derived from a limited geometry of only five observing sites of which the two DSN baselines dominate with 85% of the total data thus creating a susceptibility of this frame to geometric distortions. The prospects for future improvements are bright and we expect the distortions to be reduced as more data from the ESA Malargüe and JAXA Misasa stations are added. Fig. 1 NASA-ESA-JAXA Ka-band network. The addition of Argentina & Japan adds 6 baselines & Full Sky coverage. For d = +45 to +90 deg coverage is from California-=Spain and Japan-Spain baselines. For d -45 to -90 deg, coverage is only from the Australia-Argentina baseline. Three sites are susceptible to earthquakes. V. Conclusions: The X/Ka-band CRF has 686 sources covering the full sky and is making rapid improvements in the precision. The median precision is 43 / 62 µas in acosd / d. Spherical harmonic differences vs. ICRF3-S/X are <= 190 µas. wRMS scatter vs. Gaia is ~230 µas. Improving accuracy depends on controlling systematics via increased observations using a North-South baseline geometry. Acknowledgements: Copyright © 20234 All Rights Reserved. This research was carried out in part at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). Fig. 4: Schematic of Active Galactic Nuclei (Marscher, 2006, Krichbaum, 1999, Wehrle, 2010) X-band 3.6 cm S-band 13 cm Ka-band 0.9 cm W-band 0.3 cm Water:1.3 cm/ 22 GHz O2 line: 0.5 cm/ 60 GHz L-band 19-24 cm Fig. 5: The radio “window” is transparent compared to most of the spectrum (credit: NASA) Ka-band (32 GHz) is in the saddle point between H20 (22 GHz) and O2 (60 GHz) lines. Fig. 7: Dec precision: Median s is 62 µas for 686 sources. Median = 150 µas for Dec < -45 deg. I. High Frequency Radio Frames: As radio frequencies increase, sources tend to be more core dominated as the extended structure in the jets tends to fade away with increasing frequency (fig. 3,4). The spatial offset of the emissions from the AGN engine due to opacity effects (“core shift”) is reduced as frequency increases. Advantages of Ka-band compared to S/X-band: • More compact, stable sources (Fig. 3,4) • Reduced opacity effects: “core shift” • Ionosphere & solar plasma effects reduced by 15X. Disadvantages of Ka-band: • More weather sensitive (fig. 5) • Shorter coherence times • Weaker sources, many resolved • Antenna pointing is more difficult,. • Combined effect is lower sensitivity, But increasing data rates are rapidly compensating. We have increased JPL operations to 2.0 Gbps. Executive Summary: Celestial angular coordinates (a,d) are derived from VLBI measurements at 8.4/ 32 GHz (36/ 9 mm) of Active Galactic Nuclei. Agreement with S/X is at the part per billion level. X/Ka has reduced astrophysical systematics vs. S/X. Fig. 2. Antennas of combined NASA-ESA-JAXA X/


A fala de migrantes internos: uma agenda de estudos Motivações para o estudo da fala de migrantes ▶Migrantes compõem grande parte da população das cidades atualmente (IPEA, 2011) ▶Migração: tópico relativamente pouco estudado ▶Estabilidade da fala adulta? • Hipótese do período crítico (Lenneberg, 1967) • Estudos em tempo real (p.ex., Paiva & Duarte, 2003; Sankoﬀ& Blondeau, 2007) ▶Mudanças linguísticas devido ao contato dialetal (Oushiro, 2015) ▶Relação entre padrões individuais e da comunidade Desaﬁos ▶Mais variação do que na fala de “nativos” (Trudgill, 1986; Chambers, 1992) ▶Grande variação entre indivíduos ▶Múltiplas variáveis sociais: sexo/gênero, idade, classe social, idade de migração, tempo de residência, rede social, atitudes, identidades, habilidade pessoal... ▶Múltiplas variáveis sociolinguísticas Projeto “Processos de Acomodação Dialetal” (Processo FAPESP 2016/04960-7) ▶Corpus: 72 gravações com migrantes + 84 com nativos (corpus controle) ▶Métodos • Análise de 6 variáveis (ver Quadro 1) ▶4 fonéticas (vogais pretônicas, /r/ em coda, /t, d/ antes de [i]), 2 morfossintáticas (negação sentencial, concordância nominal) ▶NE vs. SE, rural vs. urbano • Entrevistas sociolinguísticas ▶Bairro, Infância, Família, Trabalho, Lazer ▶Avaliações sociolinguísticas ▶Lista de Palavras • Questionário de Rede Social, Hábitos e Identidade. Exemplos de perguntas: ▶Quem são as 5 pessoas com quem você mais conversa? ▶Seus vizinhos são nordestinos? ▶Com que frequência você come comida nordestina? ▶Numa escala de 0 a 10, o quanto você se considera alagoano? • Questionário socioeconômico (Mendes & Oushiro, 2013) • Análises na plataforma R (R Core Team, 2018) ▶Sexo/gênero se correlaciona com variáveis do continuum rural–urbano ▶Idade de migração se correlaciona sistematicamente com variáveis fonéticas ▶Tempo em SP se correlaciona somente com (-r) Quadro 1: Resumo dos resultados das Amostras 1 e 2 em modelos de efeitos mistos (e) (o) (-r) (td) (NEG) (CN) Sexo/Gênero x x x ✓* x ✓* Faixa Etária x x x ✓ ✓ ✓ Escolaridade x x ✓ x ✓ ✓ Motivo de Migração x x x x ✓ ✓ Idade de Migração ✓ ✓ ✓ ✓ x x Tempo em SP x x ✓ x x* x *Resultados divergentes entre Amostras 1 e 2 Uma agenda de estudos Tipologia de variáveis: há variáveis mais ou menos propensas à aquisição dialetal? Se sim, elas se deﬁnem por: (i) saliência? (Trudgill, 1986); (ii) existência na comunidade de origem? (cf. /r/ em coda e /t, d/ antes de [i]); (iii) nível de análise: fonética, fonológica, morfológica, sintática etc.? Direção da aquisição: um falante de um dialeto A adquirindo o dialeto B passa pelos mesmos processos que um falante do dialeto B adquirindo o dialeto A? É mais interessante examinar um fenômeno da perspectiva da aquisição ou da perda de traços? Papel de variáveis sociais: para além de sexo/gênero, faixa etária, nível de escolaridade, qual é o papel (i) da rede social dos migrantes?; (ii) de suas atitudes?; (iii) de sua(s) identidade(s)?; (iv) de seus hábitos? Como operacionalizar essas variáveis? Papel de variáveis linguísticas: além de aumento ou diminuição de uso de variantes, os falantes também são capazes de adquirir regras variáveis mais abstratas, como hierarquia de restrições? (ver Guedes, no prelo) Referências CHAMBERS, J. K. 1992. Dialect acquisition. Language, vol. 68(4), 673–705. GUEDES, S. (no prelo) Emprego do artigo deﬁnido em situação de contato dialetal: um estudo da fala de migrantes paraibanos em São Paulo. Domínios da Linguagem. HORA, D. 1993. Projeto Variação Linguística no Estado da Paraíba. IPEA. 2011. Comunicados do IPEA no. 115 – Perﬁl dos migrantes em São Paulo. LENNEBERG, E.H. 1967. Biological foundations of language. Wiley. MENDES, R.B.; OUSHIRO, L. (2013) Documentação do Projeto SP2010 – Construção de uma amostra da fala paulistana. Disponível em <http://projetosp2010.ﬄch.usp.br/producao-bibliograﬁca>. OLIVEIRA, A. J. 2017. Projeto PORTAL: variação linguística no português alagoano. Disponível em <http://www.portuguesalagoano.com.br/>. OUSHIRO, L. 2


2. Paleomagnetic analysis 3. Petrographical analysis 1. Magnetic Surveys Acknowledgements: This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 730041 and the Spanish National Plan project 2016 ESP2015-70184-R. The main objective is to develop a methodology to achieve a better interpretation of future on ground geophysical characterization on - board planetary vehicles. The methodology is structured as follows: 1) In situ vector magnetic surveys and sample collection. This investigation allows having a preliminary magnetic signature of the crater. (Figures left below) 2) Laboratory analyses to improve the interpretation. These analyses involve two disciplines: a. Paleomagnetic analysis of collected samples performed at INTA and in the Complutense University of Madrid. (Figures below) b. Petrographical analysis performed at Göttingen University. (Figures on the right) 3) The experimental results are complemented with magnetic models which simulate the magnetic signature of the crater as a whole. Objectives and methodology Example of IRM analysis (Sample PA 15) is shown in the figure above. All the studied samples have at least 4 magnetic carriers. First component identified is titanomagnetite (Ti-Mt). The second component represents probably a combination of a paramagnetic phase and titano- hematite, based on the trend of the curve and supported by the petrographic analysis (SEM photo in the upper left corner and the petrographic analysis, which show a significant amount of ilmenites and hematites). The other components correspond to a minority composition and low magnetic moment (< 0.2 emu/g). In the upper right figure the percentages of contribution of the different magnetic components are calculated for all investigated samples along the transect of the crater. Improved understanding of magnetic signatures of basaltic lava flows and cones with implication for extraterrestrial exploration Amanda Arlensiú Ordóñez Cencerrado1, Marina Díaz-Michelena1, Francisco Ríos2, and Rolf Kilian2 (1) INTA, Torrejón de Ardoz, Spain, (2) University of Trier, Germany PS 2.3 References: Day, R., Fuller, M. and Schmidt, V. A. (1977). Phys. Earth Planet. Inter., 13: 260-267; Dunlop, D.J. (2002). J. Geophys. Res., 107 (B3), 10.1029; Díaz-Michelena, M., et al. (2016). Geosci. Instrum . Meth., 5: 127-142.; Diaz-Michelena, M. & Kilian, R. (2015). Phys. Earth Planet. Inter, 248: 35 – 54. D’Orazio, M., et al (2000). Tectonophysics, 321: 407–427; Ejima, T., et al. (2013). Mineral. Petrol. Sci., 108: 25-36; Filiberto, J., et al. (2016). 47th Lunar and Planetary Science Conference (2016), 2171 p; Gunnlaugsson, H.P et al. (2006). Phys. Earth Planet. Inter, 154: 276–289; Haggerty, S.E. & Baker, I. (1967). Contrib. Mineral. Petrol. 16, 233–257; Kruiver, P. P., et al. (2001). Earth Planet. Sci. Lett., 189 (3), 269-276; Lowrie, W. (1990). Geophys. Res. letters, 17 (2), 159-162; Moskowitz, B.M., et al. (1998). Earth Planet. Sci. Lett., 157: 141–149; Peters, C., & Dekkers, M. J. (2003). Phys. Chem. Earth, Parts A/B/C, 28 (16): 659-667; Peters, C., & Thompson, R. (1998). J. Magn. Magn. Mater., 183 (3): 365-374; Rasmussen, H., et al. (2014). Geochim. Cosmochim. Acta, 134: 275-288; Roeder, P.L. (1994). Canadian Mineralogist, 32: 729–746; Tauxe, L. (2010). Essentials of paleomagnetism. Univ of California Press. Chapter 7.7 • NRM and susceptibility to calculate the Köningsberger ratios which show a predominant remanent magnetization of the rocks. • Hysteresis loops for the Day plots to ascertain the grain size and the domain structure information. • Coercivity spectrum based on Isothermal Remanent magnetization (IRM) to identify magnetic carriers (Tauxe, 2010, Kruvier et al. 2001). Day plot (Day et al. 1977) with the analyzed rock samples in between Single and Multidomain (SD and MD) and Pseudo Single Domain (PSD) areas. This is compatible with a content in MD Ti-Mt and some SD ones as an al


Alzheimer’s Disease Co-pathology and its Influence on Biofluid Biomarkers in Autopsied Subjects from the PPMI Study David Coughlin MD MTR1, Kristy Hwang MD1,2, Ece Bayram MD PhD1, Douglas Galasko MD1 1. University of California San Diego Department of Neurosciences La Jolla CA 92037 2. Long Beach VA Medical Center, Long Beach CA Objective: To examine the relationship between biofluid biomarkers and post-mortem pathological findings in autopsied subjects from the Parkinson’s Progression Marker Initiative (PPMI) with a focus on Alzheimer’s disease (AD) co-pathology. Methods: CSF measurements Platform Aβ1-42 Elecsys (Roche) total-tau (t-tau) Elecsys (Roche) phosphorylated tau (p-tau181) Elecsys (Roche) Total CSF alpha-synuclein (aSyn) ELISA (Biolegend) aSyn-Seeding Amplification assay (aSyn-SAA) Amprion Serum measurements Platform Neurofilament light chain (sNfL) Simoa (Quanterix) Please see www.ppmi-info.org for more details Autopsies were performed per local methods. Biofluid markers and clinical features from PD cases with no or low AD neuropathological change (PD-ADNC) and PD cases with intermediate or high AD neuropathological change (PD+ADNC) were compared cross sectionally at last available assay and longitudinally. Data used in the preparation of this research were obtained from the (PPMI database (www.ppmi-info.org/access-data-specimens/download- data). For up-to-date information on the study, visit www.ppmi-info.org . Conclusions • AD co-pathology is common and associated with more rapid cognitive and motor decline in the PPMI autopsy-validated cohort. • CSF biomarkers can accurately identify AD co- pathology in vivo. • High rates of genetic variants may result in bias in current dataset • The PPMI autopsy cohort will provide unique opportunities to examine relationships between clinical, imaging, biofluid biomarkers and histopathological changes as it expands. PD-ADNC N=11 PD+ADNC N=9 Clinical Features p (t-test, fisher exact) Age onset N=10 60.7 (12.3) N=8 65.1 (5.1) 0.4 Sex 4 Female, 7 Male 3 Female, 6 Male 1.0 Disease Duration (y) N=10 11.4 (5.4) N=8 10.4 (3.4) 0.6 UPDRS-III (OFF, last) N=9 34.4 (8.8) 43.3 (20.6) 0.25 MoCA (last) N=9 23.4 (4.6) 19.2 (6.6) 0.12 LRRK2, GBA GBA: N409S N=1 LRRK2: R1441G N=1 G2019S N=2 GBA: N409S N=2 LRRK2: G2019S N=1 NA APOE Genotype 2/4: 1, 3/3: 7, 3/4: 1 2/4: 1, 2/4:1 3/3: 4 3/4: 1 E4 dominant: 0.6 Last Biofluid Assessments (mean (SD). Test-death interval 5.1y [IQR 2.9-7.2] P (LR controlling for test-death) CSF Aβ1-42 pg/ml N=7 887 (315) N=7 544 (254) 0.06 CSF t-tau/Aβ1-42 N=7 0.20 (0.06), N=7 0.47 (0.13) 0.02 CSF p-tau/Aβ1-42 N=7 0.017 (0.005) N=7 0.030 (0.01) 0.04 CSF total-αSyn pg/ml N=7 1378 (444) N=7 1099 (289) 0.2 CSF aSyn-SAA N=8 8/8 positive N=8 8/8 positive NA Serum NfL N=9 18.9 (8.3) 27.6 (11.9) 0.1 Neuropathological Features p (fisher exact) Braak aSyn 5/6: 4 6/6: 7 5/6: 1 6/6: 8 0.3 Braak Tau B0:1, B1:6, B2:4 B2:6, B3:3 0.007 CERAD Plaque Stage C0:10, C1:1 C2:2, C3:7 <0.001 Thal Aβ Phase A0:4, A1:5, A2:1 A2:2, A3:7 <0.001 AD Neuropath. Change Not: 5, Low: 6 Inter.: 6, High: 3 <0.001 TDP-43 None: 7, Hipp: 1, MF: 1 None: 6, Hipp:2 1.0 Cerebral Amyloid Ang. None:4 Mild:2 Mod.:2 None:3 Mild:1 Mod.:3 Severe:1 0.7 Hippocampal Sclerosis 1 2 0.7 Arteriolosclerosis None:3, Mild:2, Mod:3 None:1, Mild:2, Mod;5, Severe:1 0.7 Results: Data from 22 autopsied subjects was available (17/22 from Stanford University). One subject had MSA and another had a LRRK2 G2019S mutation without Lewy body pathology (both aSyn-SAA negative). 11 cases were PD-ADNC and 9 were PD+ADNC as below. Contact: David Coughlin MD MTR. dacoughlin@ucsd.edu P<0.001 P values reflect results of group differences in GLM models Longitudinal Changes P<0.001 P<0.001 P=0.003 P<0.001 P<0.001 P=0.3 A. Clinical B. Biomarkers


Photovoltages in perovskite-type oxide thin film cells Introduction Mechanistic Investigation for LSCr10/STO Conclusion Maximilian Morgenbesser(a)*, Alexander Viernstein(a), Niklas Bodenmüller(a), Stefanie Taibl(a), Markus Kubicek(a), Jürgen Fleig(a) (a) TU Wien, Institute of Chemical Technologies and Analytics, Vienna, Austria Contact Information maximilian.morgenbesser@tuwien.ac.at TU Wien - Institute of Chemical Technologies and Analytics Getreidemarkt 9 – 1060 Vienna, Austria References Current and Voltage Measurements for LSCr10/STO Material Optimization Experimental SrTiO3 (STO), a perovskite-type oxide, shows many interesting effects under UV light illumination, such as an increase in oxygen incorporation rate,1 an enhancement in conductivity and a change in color in Fe doped STO single crystals.2 The increased oxygen uptake under UV light has also been used for a battery-type voltage in STO under UV light irradiation.3 With a top layer, e.g. (La,Sr)CrO3 (LSCr), much higher photovoltages can be realized.4 Such high temperature solid oxide photovoltaic (PV) cells are promising due to their possible combination with solid oxide electrolyzer cells (SOEC). By using a common electrode of a PV cell and an underlying SOEC it is possible to directly transfer light to chemical energy. However, optimization of voltage and power of such high temperature PV cells is still required. In this study, different materials (e.g. (La, Sr)(Cr,Mn)O3 (LSCrM), (La,Sr)CoO3 (LSC), (La,Sr)FeO3 (LSF) and NdNiO3 (NNO),…) were tested for their applicability in oxide solar cells and mechanistic insight in processes under UV is gained. 1. Merkle, R., De Souza, R.A., Maier, Angewandte Chemie - International Edition 2001, 40(11), 2126-2129. 2. Viernstein, A., Kubicek, M., Morgenbesser, M., Walch, G., Brunauer, G.C., Fleig, J., Advanced Functional Materials 2019, 29(23). 3. Walch, G., Rotter, B., Brunauer, G.C., Esmaeili, E., Opitz, A.K., Kubicek, M., Summhammer, J., Ponweiser, K., Fleig, J., Journal of Materials Chemistry A 2017, 5(4), 1637-1649. 4. Brunauer, G.C., Rotter, B., Walch, G., Esmaeili, E., Opitz, A.K., Ponweiser, K., Summhammer, J., Fleig, J., Advanced Functional Materials 2016, 26(1), 120-128. Poster Design by Eva Pycha and Stefan Smetaczek Sample preparation: On a single crystaline STO substrate, a thin film, e.g. LSCr or Au is deposited. Pt stripes are applied as a current collector. A porous Pt paste is brushed on the bottom side as a counter electrode. The top layer as well as the substrate are varied in this study. Measurements: The characterization is performed in air at 350 °C. The voltage/current is measured for 15 min withouth UV light, then for 15 min under UV light and then for 15 min after switching the UV light off. Multimeter / Impedance analyzer SrTiO3 single crystal La0.9Sr0.1CrO3 thin film UV lamp Porous Pt paste Pt stripes 15 min 30 min time voltage UV off UV on UV off Figure 1: Sketch of the sample (a) and a typical measurement (b) a) b) Optimization of the high temperature solar cell: The LSCrM/STO system is a very robust high temperature solar cell with photovoltages higher than 1 V at 350 °C. Other top layers also work with high photovoltages, such as Au. The variation of the substrate shows that STO as a substrate generally leads to high photovoltages in this study. Mechanistic insight in processes under UV light: Under UV light illumination, the resistance of the space charge region is switched off. Additionally, stoichiometry polarization leads to an increase in current under UV light (self-enhanced HT solar cell). A change in oxygen stoichiometry occurs forming an oxygen depleted region under the top layer (negative battery voltage). Top Layer Variation: LSCrM/STO Top Layer Variation: Other Materials Substrate Variation Current and Voltage Measurement Long-term Measurement: Current Figure 2: Variation of Sr and Mn content in LSCrM as a top layer Figure 4: Variation of the substrate Figure 3: Variation of the top l


The NanoCommons e-infrastructure – A quick guide to the „what and how“ of nanoinformatics in safety assessment suiting basic to expert users in academia, industry, and regulatory authorities Martin Himly1, Lucian Farcal2, Anastasios Papadiamantis3, Cristiana Gheorghe3, Albert Duschl1, Iseult Lynch3 and the NanoCommons consortium Paris Lodron University of Salzburg1 Edelweiss Connect2, and University of Birmingham3 Nanotechnologies and the resulting novel and emerging materials (NEMs) represent major areas of investment and growth for the European economy. Recent advances have enabled confidence in the understanding of what constitutes toxicity of NEMs in relation to health and environmental hazards. However, the nanotechnology and nanosafety communities remain disparate and unconnected, whilst knowledge and data remain fragmented and inaccessible. The NanoCommons‘ TA service categories & available online training tools Background NanoCommons is a research e-infrastructure project offering access to high quality nanoinformatics tools and services for nanotechnology and nanosafety stakeholders (academia, industry, regulators). It is user-led, offering and developing the services needed by the user community of nanotechnology, nanosafety and related fields. NanoCommons is built on 3 main pillars: joint research activities, networking activities and transnational access (TA) services. Aim This work is funded by the European Union’s H2020 Research & Innovation Action „NanoCommons – The European Nanotechnology Community Informatics Platform: Bridging data and disciplinary gaps for industry and regulators“ (grant agreement No 731032). Acknowledgment II. Data processing & analysis NanoCommons consortium More info on TA: helpdesk@nanocommons.eu www.nanocommons.eu I. Experimental workflow design & implementation III. Data visualization & predictive toxicity IV. Data storage & online accessibility TA services are designed to promote data FAIRness (Findable, Accessible, Interoperable, and Reusable). NanoCommons provides innovative solutions for data mining, harmonisation, utilisation and re-utilisation, including incorporation of a range of modelling and decision support tools that require and/or can produce organised, high-quality datasets. TA service category Nanoinformatics services Training formats Level Experimental workflow PC characterization protocols Written tutorial Basic Data processing & analysis Biomax data templates Recorded webinar Basic NIKC data templates Written tutorial Advanced Jaqpot platform Demo video Advanced Demo video Expert Enalos NanoXtract for TEM image analysis Demo video Basic Online tutorial Basic Biocorona in silico modelling Recorded webinar Advanced OpenRiskNet e-infrastructure Recorded webinars incl demo videos Basic Recorded webinars incl videos and documentations Advanced Data visualization & toxicity prediction Enalos cloud for zeta potential Demo video Basic Recorded webinar Basic Enalos cloud for Safe-by- Design Demo video Basic Online tutorial Basic Guidenano Recorded webinar Basic Data storage Scinote Demo video Basic Online tutorial Basic ACEnano knowledge infrastructure Online tutorial Basic For access to services, info resources & events: www.infrastructure.nanocommons.eu


Application of Artificial Neural Networks on improving predictions of nuclear radii Vasilis Skarlis1, Emmanuel Bratsolis1, Eleni Charou2, Theo J.Mertzimekis1 1Department of Physics, University of Athens, Zografou Campus, GR-15784, Athens, Greece 2IIT, NCSR “Demokritos”, GR-15310, Ag. Paraskevi, Greece Abstract Artificial Neural Networks (ANN) [1] are mathematical computing paradigms imitating the operations of biological neural systems. Their nonlinear nature and ability to learn from the environment make them highly suited to solve real-world problems from those that are still under development. In the field of Physics there are many problems that cannot be adequately solved with the physics-based methods and the use of ANN may yield better results. In the present work ANNs have been tested in predicting nuclear charge radii considering as input the atomic and mass numbers, exclusively. The performance of different supervised ANNs is evaluated. The dataset used for the training and testing was based on evaluated data of nuclear radii available in IAEA tables . Experimental Method In the first experiment, a training set was constructed from 300 randomly selected elements of the dataset and the ability to predict the nuclear radius was tested on the remaining 609 elements. In order to test the capability of networks to predict unknown nuclear radii a second experiment was performed using a subset of 400 elements randomly selected from the first 600 elements of our dataset. The networks were tested in the remaining “unknown” 309 elements. The results of those experiments are shown below. Results & Discussion Conclusion and future work The Feed Forward Neural Network (FFNN) has shown promising results and can be proven useful in predicting unknown radii in exotic regions of the isotopic chart. Work in the near future will pursue radii predictions in the superheavy region and compare the FFNN results with existing theoretical models. References [1] C.M. Bishop, Pattern Recognition and Machine Learning, Springer, Singapore (2006) [2] I. Angeli and K.P. Marinova, At. Data Nucl. Data Tables 99, 69 (2013) Figure 1: Results of FFNN by using 300 randomly nucleus as training set. With blue are the experimental errors and with orange the network errors Figure 2: Results of RBF by using 300 randomly nucleus as training set. With blue are the experimental errors and with orange the network errors Figure 3: Results of our two networks with 400 randomly selected nucleus form the first 600. With blue are the experimental errors, with orange the FFNN and with yellow the RBF errors. • After some experimentation the appropriate FFNN was the one with two hidden layers, 10 and 5 nodes respectively. • From figures 1,2 we can clearly see that FFNN has smaller errors than RBF. For this reason we can say with certainty that it is suitable for predicting an unknown nucleus radius in the known regions of the isotopic map. • If we look at the errors of the smaller nucleus we can see that our networks have relatively big errors and this is due to their incapability to understand the deeper nuclear phenomena that are present. Those phenomena have small contributions for big nuclei, therefore we can have better predictions as we go near the region of super heavy. Introduction & Motivation The information about size and nuclear density distributions in unstable (radioactive) nuclei is usually extracted from the data on interaction of radioactive nuclear beams with a nuclear target thus doing the experiments and analyzing the data is a difficult and time consuming task. Assuming the nucleus is described by the liquid-drop its radius can be described/predicted by the relation R=r0 A1/3, which is in general a rough estimate. The purpose of this work is to assess whether ANNs are capable of predicting nuclear charge radii given the atomic and mass numbers for a given nucleus. This is particularly useful for exotic species, where experimental data are very scarce


5-25Hz Σ Power/sec Threshold (T , mm) 0 0.5 1 0 5 10 15 e Object Localization and Vibrissal Behavior in 3D Per Magne Knutsen, Armin Biess, Maciej Pietr & Ehud Ahissar Departments of Neurobiology and Mathematics, Weizmann Institute of Science, Israel Whisking behavior in 3D We trained rats to discriminate the relative horizontal (posterior-anterior) offset of two vertical poles. Offsets were adjusted according to a staircase procedure, allowing us to estimate psychophysical thresholds. Summary Horizontal object localization Whisker torsion enables labelled-line encoding of horizontal object location Whisker azimuth and torsional rotation Rats can resolve horizontal spatial offsets with hyperacuity resolution, an ability that relies on actively generated whisker movements. The major components of whisking are azimuthal and torsional rotation. These two angles are tightly coupled during whisking, ensuring per- ceptual stability across whisking cycles. Furthermore, the existence of torsion suggests that neurons with different directional selectivity are gradually recruited during active palpation, which enables mapping of contact information onto the circumference of the whisker follicle and a labelled-line code for horizontal object location. High-speed camera Mirror Head bolts Z X z x Y y ϕ θ ζ 0 20 40 -10 10 30 -20 -10 0 Medio-lateral (mm) Rostro-caudal (mm) Dorso-ventral (mm) A B C D E α (dζ/dθ) Whisker Row −1 0 1 R2 = 0.97 A1 B1 C1 D1 E1 = 0.77 (0.77) R2 = 0.74 (0.9) R2 = 0.90 R2 = 0.98 R2 200 ms 40 deg 40 deg θ 40 deg ζ Azimuthal protraction (deg) 0 45 90 135 180 A B C D E Whisker Row A B C D E R(α) Whisker Row 0 0.5 1 0 50 100 150 θ ζ ϕ Angles Amplitude Whisker deflection angle ζ Protraction θ Retraction 0 π -π Follicle orientation Normalized spike-rate Backlit discrimination area Behavioral box Reward well Touch sensor Vertical poles Servo motor IR beam A B C D 1 2 3 4 10mm Offset (mm) Trial number 20 40 1 5 20 0.9 20 2.7 20 40 60 0.5 60 80 100 Angle (deg) 0 250 500 750 50 Time (msec) distance (mm) Nosepoke 0 5 10 15 20 0 50 100 150 Trials Whisks/trial 0 5 10 15 20 0 .25 .5 .75 1 Initial groups After trimming Control groups Sessions (%) 0 5 10 15 20 0 5 10 15 20 0 .25 .5 .75 1 0 .25 .5 .75 1 ALL ARC ROW C2 ROW/ARC-FN ROW-C2-NONE ALL-ARC ALL-ARC-C2 ALL-C2 ARC-C2 ROW-C2 Threshold (T , mm) e,s Threshold (T , mm) e,s Threshold (T , mm) e,s 0 10 20 30 -10 0 10 Radial distance (mm) Horizontal distance (mm) C3 C3 C1 C1 C2 C2 Power/sec (dB/Hz/s) 2 4 6 8 10 .001 .01 .05 1 20 50 5 P-value Frequency (Hz) Whisking frequency (Hz) 0 5 10 15 20 25 0 .05 .1 .15 Probability W The visual system may also employ popula- tions of directionally tuned neurons to encode visual features in a gaze dependent manner. Accuracy of horizontal localization is correlated with whisking power. Spatial acuity depends on whisker configuration Spatial acuity exceeds whisker spacing Horizontal localization is an active process and depends on whisker movement The correlation between torsion and azimuth is reminiscent of Donder's Law in vision, which states that eye torsion is directly related to gaze direction. Such relationships ensure visual/tactile stability across sequential fixations/whisks. Upon contact with an object, the touch signal will be conveyed primarily by a population of primary afferents, whose direc- tional preference coincides with the torsional angle. Reconstructions of whisker movements in 3D using high-speed, stereo videography enabled us to extract 5 degrees of freedom: 3 rotational, and 2 translational movement components. Whiskers undergo torsional rotation (up to 100 deg) during whisking. Torsion was highly cor- related with azimuthal rotations, in a manner consistent for individual whiskers, similar along rows, but systematically varying across rows such that rows A and E counter-rotated. Torsion predicts that neurons with different directional selec- tivity are gradually recruited during active palpation. Thus, tor- sion adds another


Dynamics of mesoplankton community related to sea ice melting in Terra Nova Bay during the austral summer: a diachronic analysis Aim: Characterize mesoplankton dynamics during austral summer, studying sea-ice melting moment to normalize data from several years Study area : Terra Nova Bay (Ross Sea) Why plankton? Plankton represents the base of the sea trophic web and is a fundamental compartment for marine system (also Antarctic) Samplings: 44 samplings were collected in Faraglione Station (74° 43' S ,164° 6’ E) during 12 years of PNRA (Italian National Project for Antarctica Research) expeditions Network Analysis: Provides Ecological Indicators describing functional and structural characteristics of a system 𝑇𝑆𝑇 = ෍ 𝑖=1,𝑗=1 𝑛 𝑇𝑖𝑗 𝑇𝐿𝑗= 1 + ෍ 𝑖=1 𝑛 𝐷𝐶𝑗𝑖× 𝑇𝐿𝑖 𝐴𝑀𝐼= 𝐾 × ෍ 𝑖,𝐽 𝑇𝑖𝑗 𝑇𝑆𝑇 × 𝑙𝑜𝑔𝑇𝑖𝑗 × 𝑇𝑆𝑇 𝑇𝑖× 𝑇𝑗 Trophic Level (TL): TL=1 to primary producers and detritus, other calculated as: Total System Throughput (TST): Sum of all flows in the system Average Mutual Information: Measure of flows organization Mass balanced models Modelling approach based on mass-balanced models flows analysis (Ecopath with Ecosim) Required: - Biomass - Production/Biomass, - Consumption/Biomass - Diet Matrix Days Since Sea-Ice Melting (DaSIM): A novel method to normalize data from different years on the same temporal scale, based on sea ice melting threshold (Dataset of Sea-Ice Coverage from Copernicus), defining four phases in austral summer General Additive Models (GAM) was used to study statistical relationship between DaSIM and Ecological Indicators. Ecological Indicators Discussion - Biomass evidencing the importance of copepods in plankton composition, particularly for Calanidae family. - Phytoplankton biomass and Primary Production identify the moment of phytoplanktonic bloom (Early Season) in correspondence to sea ice melting. A possible second bloom, with the increase of this parameters during end of season. - However, the second phytoplankton bloom is not mirrored by system functionality indicators, probably because the response is too slow or the biomass produced is addressed to other compartments (e.g. microplankton) not considered here. - In Late Season Mean Trophic Level, AMI, TST having they’re maximum values pointing out a system well developed and efficient together with higher equilibrium in term of biomass distribution and groups presence. The mesoplanktonic compartments in Terra Nova Bay starts with the Phytoplanktonic bloom in Early Season, producing a lot of biomass. The system uses this biomass very rapidly, in the beginning, and optimizes the flows organization later when the biomass decreases and the trophic level raises. Biomass GAM Results A. Guida 1,2, P. Povero 1,3, M. Castellano 1, S. Magozzi 1,3, A. Novellino 2, C. Paoli 1,3, P. Vassallo 1,3 Introduction Materials and methods Results 1 DISTAV, Dipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, corso Europa 26, 16132, Genova, Italia 2 ETT S.p.A., Via Sestri 37, 16154, Genova, Italia 3 NBFC (National Biodiversity Future Center), Palermo, Italia 𝐷𝐶𝑗𝑖= fraction of prey i in diet of predator j 𝑇𝐿𝑖= Trophic Level of prey i 𝑇𝑖𝑗= flux out of i- group going in j- group K= scalar constant Distribution of twelve years of expeditions, colors connected with the samplings in the austral summer period Ecopath master equations Consumption = production + respiration + unassimilated part Production = predation mortality + fishing mortality + biomass accumulation + net migration + other mortality DaSIM Temperature Salinity Legends Total System Throughput 0.0102 . 0.1-0.05 Average Mutual Information 0.00296 0.0486 0.0331 * 0.05-0.01 Mean Trophic Level 0.00245 0.0057 ** 0.01-0.001 Primary Production 1.19E-03 *** <0.001 Total Biomass 2.00E-16 0.0669 Phytoplankton Zooplankton - Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Copernicus Climate Change Service (C3S) (2024): Sea Ice Concentration Daily Gridded Data from 1979 to Present


IODP Expedition 393: South Atlantic Transect 2 Chiara Amadori, University of Pavia THE ITALIANS ON BOARD! PHYS-PROP CORNER CORE REPOSITORY College Station, TX • The South Atlantic Transect (SAT) The SAT drilled seven sites on 7, 15, 31, 49, and 61 Ma ocean crust along a slow- to intermediate-spreading rate Mid-Atlantic Ridge at ~31°S. This was possible thanks to two engineering Expeditions 390C & 395E and two scientific Expeditions 390 & 393. STRATIGRAPHIC CORRELATION • Post-cruise activities • The Editorial meeting and basement Sample Party in College Station (TX, USA), November 2022: • During the Editorial Meeting, a selected group of the science party from both expeditions works to produce a complete summary describing methods and preliminary results of the Expeditions 390 and 393. These final proceedings will be available to the entire scientific community by 2024. • We sampled basement rocks to perform additional paleomagnetic and physical property analyses. • The XRF-scan analysis in College Station (TX, USA), November 2022: • X-ray fluorescence (XRF) core scanning was conducted on all sediment core sections used to construct the Splice. Data report with these results will be published in January 2024 (Amadori et al., 2024, Site U1560). • Sediment Sample Party in Bremen (Germany) in January 2023: • We sampled sedimentary rocks (stored at MARUM, in Bremen) to perform additional geochemical analyses. • The ECORD Training School in Bremen (Germany) in March 2023. Travel grant provided by IODP Italia. • The ECORD Research Grant for outstanding Early Career Researchers 2023: 3000 EUR. Project Title: Investigating the effects of a novel analytical method on Moisture and Density estimates: porosity correction of basement rocks from the South Atlantic Transect (X390-393). • Exp. 393 – Physical Property Specialist & Stratigraphic Correlator on board The Physical Property Specialist The Phys-prop Specialist characterizes the physical, chemical, and structural properties of the recovered sediment and hard rock cores. Physical properties I’ve measured include bulk density, natural gamma radiation, magnetic susceptibility, compressional and shear velocities, thermal conductivity, porosity, shear strength, and electrical resistivity. They were characterized using a variety of techniques and methods on core sections and discrete samples. The Stratigraphic Correlator As the Stratigraphic Correlator aboard, I used petrophysical and paleomagnetic data to correlate adjacent holes and construct a a complete stratigraphic section for sites drilled during X393. This requires multiple holes at a given site referenced to a composite depth scale (i.e., Splice Section).


U.S. Environmental Protection Agency Office of Research and Development EPA www.epa.gov Hindered phenols are phenols with one or more bulky functional groups ortho to the hydroxyl group. E.g. 3-Chloro-4- hydroxybenzoic acid ( ) Distribution of hindered and non-hindered phenols in the source analog dataset A Systematic Evaluation of Analogs for Read-across Prediction of Estrogenicity Prachi Pradeep1, Kamel Mansouri1, Grace Patlewicz2 and Richard Judson2 1Oak Ridge Institute for Science Education Fellow, National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA 2National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, USA INTRODUCTION METHODS ANALYSIS ILLUSTRATIVE EXAMPLES CONCLUSIONS Prachi Pradeep l pradeep.prachi@epa.gov l 919-541-5150 Read-across is a data gap filling technique which is commonly used within category and analog approaches to predict a biological property for a target (data-poor) chemical using known information from similar (source analog) chemical(s). Analog identification and evaluation are critical steps in deriving a robust read-across prediction. Potential source analogs are typically identified based on structural similarity. Despite the available frameworks for read-across, few guiding principles exist to help evaluate the scientific validity of any source analogs identified. This case study used a two-tiered approach to analyze structurally related source analogs to read-across estrogenicity for target chemicals of interest. Structural source analogs were identified using 3 different chemical descriptor approaches (Pubchem, Chemotyper and MoSS MCSS) and Tanimoto similarity index as a cut-off. The measured estrogenicity outcomes for the source analogs were then compared with those for the target chemicals to determine the extent of their agreement. A dataset of 2834 phenols as taken from the CERAPP project was used as an inventory of potential source analogs for 2231 hindered phenols (targets). The analysis suggests that none of the 3 descriptor approaches could be considered as an unequivocal method for analog identification for reading across estrogenicity. Analog Selection Method Binding Agreement (%) Number of Target-Analog Pairs Pubchem/ Chemotyper/ MCSS 92.5 87 Chemotyper/ MoSS MCSS 90.0 124 MoSS MCSS 83.9 226 Pubchem/ MoSS MCSS 83.8 136 Chemotyper 67.0 1060 Pubchem/ Chemotyper 63.5 358 Pubchem 59.6 2274 Analog Selection Method Binding Agreement (%) Number of Target-Analog Pairs Chemotyper/ MoSS MCSS 76.5 930 Pubchem/ Chemotyper 76.5 3722 Pubchem/ Chemotyper/ MCSS 76.0 830 Pubchem/ MoSS MCSS 70.0 1780 Chemotyper 69.0 7878 MoSS MCSS 68.0 2314 Pubchem 62.0 19456 Analog Selection Method Number Pubchem Chemotyper MCSS Pubchem/ Chemotyper Pubchem/ MCSS Chemotyper/ MCSS Pubchem/ Chemotyper/ MCSS True Positives (Binders) 502 206 136 172 120 90 90 False Negatives 314 79 50 39 39 19 19 Total Positives 816 285 186 211 159 109 109 True Negatives (Non-binders) 528 148 78 82 64 34 30 False Positives 314 79 50 39 39 19 19 Total Negatives 842 227 128 121 103 53 49 Analog Selection Method Number Pubchem Chemotyper MCSS Pubchem/ Chemotyper Pubchem/ MCSS Chemotyper/ MCSS Pubchem/ Chemotyper/ MCSS True Positives (Binders) 209 94 39 35 25 28 21 False Negatives 25 18 1 10 1 0 0 Total Positives 234 112 40 45 26 28 21 True Negatives (Non-binders) 52 52 13 19 6 8 4 False Positives 152 54 9 11 5 4 2 Total Negatives 204 106 22 40 11 12 6 Number Assay Hindered Non-hindered Total Actives Total Actives Binding 462 207 257 155 Agonist 396 45 204 96 Antagonist 360 46 169 14 Underlying basis for each of the three chemical descriptor approaches Analog Evaluation Method • Select hindered and non-hindered analogs using both: 1. Tanimoto similarity cut-off (0.1 – 0.9), & 2. Number of analogs (1-10) • Analyze the consistency in experimental estrogenic


While productivity is typically the focus of grassland site management, plant biodiversity is another important characteristic of grasslands, which does not necessarily coincide with high productivity. However, both are important for long-term feed and bioenergy supply, food security, and the diversity of other trophic levels (e.g. pollinators). We therefore investigate how different climate change scenarios, soil conditions and management regimes affect grassland biodiversity and productivity. We apply the grassland model GRASSMIND and develop it further. GRASSMIND is an individual-based, mechanistic ecological model. For a given grassland site, it explicitly simulates the processes that let biodiversity dynamics emerge: individual plants can establish, grow and die. q For the pilot study, we focus on one site in Germany (GCEF, run by UFZ) with multiple grassland plots under different, well-controlled management and climate conditions. Observations were biomass, vegetation cover, mowing yield and leaf area index (2013-2022)K q The pipeline elements developed (cf. UC scheme below) include data preparation as input for simulations or as patterns for model recalibration. Also scripts were developed that minimize deviations between observations and model results (parallelized, using Matlab), and the model was and is further improved. q GRASSMIND runs on LUMI, incl. parallelization over hundreds of cores. LUMI results match accurately to those from Windows or the UFZ Linux cluster. Test runs on LUMI were used to assess the number of single stochastic replicate runs required such that the mean results get approximately invariant. We will test the transferability of the recalibration to Python and LUMIK q We also developed result visualization scripts, so far specific to the pilot study. They can be adapted to suite data from additional sites. Introduction Technical description Outputs Biodiversity Dynamics Grassland Biodiversity Dynamics Authors: Thomas Banitz, Franziska Taubert Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany Biodiverse grassland in Germany. © André Künzelmann, UFZ Use case DT development scheme


Investigating Data-Related Practices in Neuroscience, Psychology, and Beyond Background Research Questions Data Management in Neuroscience Data Management in Psychology Next Steps Neuroscience research presented an ideal test case for studying discipline-specific data management practices. The data involved is often large and complex, small changes in analytical pipelines have significant downstream effects, and there are ongoing efforts to facilitate data sharing and other open science practices. Survey Results To understand the data management practices of active researchers in the field of neuroimaging, we surveyed researchers whose work involves magnetic resonance imaging (MRI) about how they store, organize, document, and preserve their data. A total of 144 researchers from 11 countries, 69 institutions, and a range of research areas participated in our study. Lack of time, professional incentives, and community- supported best practices commonly limiting their current data related practices. Our results indicate that neuroimaging researchers collect data in a variety of forms and that data-related practices differ between and within research groups. Though current levels of adoption were low, a substantial number of participants indicated they would publish preprints, preregister studies, and publish in OA journals in the future. To ensure that our questions would be meaningful to active researchers, we consulted with the neuroimaging community throughout the survey design process. Following up on our survey of MRI researchers, we are currently preparing to investigate data-related practices in the field of psychology. Our survey instrument is being designed in consultation with psychology researchers as well as individuals who work on data-related issues in academic libraries. In addition to advertising through social media and discipline- specific listservs, we will also e-mail corresponding authors of recent articles in psychology journals. We are revising the form and content of our survey to reflect the terminology and tools of psychology research and also to provide us with more information related to limits, motivations, and outstanding needs. 1 2 3 4 5 Field Self Field Self Field Self Da ta Sha ring Da ta Ana lysis Da ta Colle ctio n Maturity Rating Ad-Hoc Mature 1 2 3 4 5 Re late d files ar e lin ked D ocu me nt atio n: Dat a o rg an izat ion File n am in g a nd or ga niza tio n Sen sitiv e d ata is sec ure d Ra w d ata is b ac ked up Da ta Colle ctio n 1 2 3 4 5 Re late d files ar e lin ked Ana lysis wor kflo w is con sist en t Do cum e nta tio n: So ftw ar e a nd co de Do cum e nta tion : An alys is p ipe line Ana lyze d dat a is ba cke d u p Da ta Ana lysis 1 2 3 4 5 Da ta is sh ar ed Pro ce du re s sh ar ed Re sea rc h m at er ials (e. g. stim uli) sh ar ed Da ta cur at ed for r ep rod uc ibility Re late d ma ter ials ar e lin ke d Da ta Sha ring Data Management Maturity Ratings Participants often stated that their RDM practices are more mature than the field as a whole (and they may be right). Participants rated practices related to data collection and analysis as more mature than those related to sharing (and they may be wrong). John A. Borghi, Stanford University Ana E. Van Gulick, Carnegie Mellon University We hope to increase our engagement with the neuroscience and psychology communities and develop follow-up studies and researcher-focused educational materials related to data management and open science. We’re also exploring how to investigate data-related practices in other research areas. Our Paper: https://doi.org/10.1371/journal.pone.0200562 Open Data: https://doi.org/10.1184/R1/5845656.v1 1. How are researchers in different scientific disciplines actually managing and sharing their research data? 2. What are the current levels of adoption for emerging open science practices including publishing preprints, sharing research materials, and publishing in open access journals? 3. How do we, as librari


AutSPACEs: a co-created & open-source project to improve environments for sensory processing in autistic people Bastian Greshake Tzovaras, Georgia Aitkenhead, Callum Mole, Helen Duncan, Martin Stoffel, David Llewellyn-Jones, Sophia Batchelor, James Scott, Susanna Fantoni, Kirstie Whitaker, the AutSPACEs community ✉bgreshaketzovaras@turing.ac.uk https://github.com/alan-turing-institute/AutSPACEs Introduction AutSPACEs stands for Autism research into Sensory Processing for Accessible Community Environments. Together with a team of neurodiverse co- researchers and open-source developers, we are using participatory research to co-create an open source, citizen science platform. AutSPACEs will collect rich, qualitative data on how sensory processing differences affect autistic people’s daily lives. 9/10 autistic people experience sensory processing differences compared to non- autistic people, like finding lights brighter, sounds louder. This can lead to everyday spaces such as school, hospitals, public transport and offices being suboptimal, uncomfortable, or totally inaccessible to many autistic people. While autism is not a disability, AutSPACEs is inspired by the disability rights movement social model of disability and motto : “Nothing About Us Without Us” Goals Methods A Diverse Community Next & ongoing steps 1. Last design improvements: - Improve copy, thanks to Autistic writers & editors - Accessible visualizations, thanks to Autistic illustrator 2. Launch of AutSPACEs platform – already got conditional ethics approval 3. Collect data and open to researchers Supporting our community Susanna Fantoni MODERATION DILEMMA STANDARD APPROACH AUTSPACES STRATEGY Instant rewards vs. protecting users from discriminatory or abusive content Post-publication review Pre-publication review to significantly reduce risk Protecting users from triggering content vs. censoring negative experiences Binary moderation options - publish or remove Traffic-lights system with trigger labels that can be filtered Positive feedback vs. risks of negative feedback (or no feedback at all) Anyone can use or comment No comments on posts Scan to listen to Susanna talk about moderation for a podcast: Scan to watch Otis share his personal account of being a citizen scientist: Otis Smith Collaborator Stories Meet-up sessions Monthly newsletters Twitter GitHub support and upskilling Co-working Inclusive facilitation Sharing opportunities Creating inclusive spaces “…it’s not just expert advice, everyone is…coming from their life experience, from their relative’s experience, and they’re saying, ‘it helped someone, I’m sure it would help others’, so I think a project like this is important” Autistic adult and parent to an autistic child Co-design case-studies Moderating the AutSPACEs platform Scan to read our preprint on the moderation approach: Green= Meets all requirements Amber= Doesn’t break CoC but contains potentially triggering content so will be flagged Red= Breaks CoC and will not be approved for public sharing User testing our platform implementation So far, we did two cycles of user testing, with a total of 24 autistic participants (20 new to the project, 4 existing contributors). In response platform improved in many categories, including: - Finding & fixing bugs - Optimizing user flows - Improving digital accessibility (dark mode, sensory requirements) Run task-based user tests Aggregate & anonymise feedback Analyse feedback Prioritise improvements Further develop & improve platform Done by/with larger AutSPACEs community