1 3 ABUNDANCE 2 Unvegetated Microplastic retention in the sediment of small-bodied tropical seagrass meadows This study presents the first assessments of MP contamination in seagrass meadows of the Southwestern Tropical Atlantic bioregion. Our results showed that the MPs are ubiquitous even in a Marine Protected Area. There was no difference in the abundance of MPs between vegetated and unvegetated areas. Seasonal influence was not relevant in the MP abundance in the three studied seagrass species. Identifying the drivers leading to MP accumulation in seagrass meadows may include a wider assessment of seagrass species with different plant traits and meadow complexities, as well as the local environmental factors is necessary. 66% Fiber 21% Film 4% Fragment First study to investigate MP in Halodule wrightii, Halophila decipiens and H. baillonii Now 25% of the 72 seagrass species have been investigated. Brazil Halodule wrightii Halophila decipiens Halophila baillonii MICROPLASTIC IN TROPICAL ESTUARINE SEAGRASS MEADOWS: DOES SEAGRASS SIZE MATTER? 1 Department of Biology, Federal Rural University of Pernambuco (DB/UFRPE), central campus, Recife, Brazil. 2 Department of Fisheries and Aquaculture, Federal Rural University of Pernambuco (DEPAQ/UFRPE), central campus, Recife, Brazil. 3 Centro de Ciências do Mar do Algarve (CCMAR), University of Algarve, Gambelas campus, Faro, Portugal. * Corresponding author: viegasmao@gmail.com DOI: 10.5281/zenodo.12709067 Published: July, 10, 2024 ACKNOWLEDGMENTS Study area INTRODUCTION OBJECTIVE RESULTS Ana M.C. Souza , Guilherme V.B. Ferreira , Carmen B. de los Santos , Flávia L. Frédou , Karine M. Magalhães 2 1 * 3 2 1 METHODS Seagrass meadows have been appointed as efficient microplastic (MP) trapping hotspots. MPs accumulation in the seagrass sediments from the Tropical Atlantic bioregion, such as those found i n South America, have not been investigated yet. Also, small-bodied segrass species are much less studied than large ones onther capacity to retain s MPs. Research sedimentary MP retention in areas vegetated by small-bodied seagrass species Halodule wrighti i (HW), Halophila decipiens (HD), and H. baillonii (HB) a nd an adjace nt unvegetat ed (U N) ar ea in a tropi cal estuary in the Brazilian coast, according to seasonality. Sampling was carried out in a multispecific seagrass meadow and an adjacent unvegetated area durin g the dry and rainy seasons. Biomass, shoot density and canopy height did not variation between seasons. Sediment between sand and fine sand CHARACTERIZATION Sediment samples (N = 80) A total of 227 MP particles Microplasctic Meadow and Sediment Analysis 1. Characterization Seagrass meadow Sediment 2. Microplastic Extraction (NaCl / NaOH) Visual identification 3. Literature review All types of documents Web of Science Environmental Protection Area (APA) of Santa Cruz MPs abundance (particles Kg dw) Unvegetated Vegetated p > 0.05 MPS VARIATION Species/season No significant variation among species and the adjacent unvegetated area, neither for seasonality was detected. However, we found a positive correlation betwee n MPs abundance and sediment grain size. South Atlantic Ocean CONCLUSION Fibers (73%) Blue (51%) < 1 mm (80%) Areas/season Unvegetated = 125 ± 117 (Itens/kg dw) = Vegetated = 144 ± 143 (Itens/kg dw) -1 -1 Total = 142 ± 140 (Itens/kg dw) -1 MEADOW CHARACTERIZATION -1 MPs abundance (particles Kg dw) -1


• • • • • • • • • • • • ➢ • • ➢ • • • • × • • • 1990 1995 2000 2005 2010 2015 2020 4000 6000 8000 10000 12000 1 10 100 1000 Spill amount Spill amount (million gallons) Spill frequency Year Spill frequency Deepwater Horizon spill Hurricane Katrina • • • • ：


PE5 Changes - Spoke 4. D2 – Data Management Plan. https://doi.org/10.5281/zenodo.7977103 Producing FAIR research data within a NRRP project: PE5 Changes - Spoke 4 The Italian National Plan for Open Science 2021-2027 sets out four objectives related to scientific research data. The first is to contribute to the fulfilment of the FAIR data paradigm in the Italian research system. As part of the National Recovery and Resilience Plan, the project PE5 Changes - Spoke 4: virtual tehcnologies for museums and art collections, led by the University of Bologna, is applying the FAIR data paradigm to Cultural Heritage (CH) data. The activities of Spoke 4 focus on the impact of digital cultural heritage. Its objective is to make the digital enhancement of cultural heritage a permanent and widespread practice in museums and art collections, to increase the knowledge and organization of artifacts, expand public involvement, improve accessibility, inclusiveness, participation, and sustainability. This is achieved by involving different museums and collections (high-density and innovative museums, natural history and scientific museums, widespread art galleries, site museums, historical palaces, demo-ethnic-anthropological museums) that work as pilots for best practices to be adapted and reused in similar institutions. The collaboration with Cultural Heritage Intitutions is indeed one of the main strenghts of the project. Each Spoke partner and CH institution involved has: Bianca Gualandi - Research Division (ARIC), University of Bologna, Bologna, Italy Silvio Peroni - Dept of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy identified someone internally responsible for the creation and management of data set up an internal data governance, including guidelines for data storage and deposit in a data repository identified intellectual property rights and selected a reuse license for CH data identified and described a number of planned datasets, describing e.g., their scope, formats and technologies used transmitted all this information to the Spoke leaders in order to coalesce on a common Data Management Plan, to serve as project documentation and as roadmap Typically someone senior, who is involved in the digitisation process Piano nazionale di digitalizzazione del patrimonio culturale. https://docs.italia.it/italia/icdp/icdp-pnd- dmp-docs/it/v1.0-giugno-2022/attivita-preliminari.html Some decisions are necessarily provisional but the DMP is a living document and will be updated! Working with CH data poses legal, technological and organisational challenges, both for researchers and for CH institutions. Planning their management from an early stage ensures that CH data are usable, interoperable, and last long-term.


●The use of the ML prediction shows a better identiﬁcation on the blobs that are likely to be a photon pair increasing the purity of the ﬁnal selection. Coming soon: ●Diﬀerential cross section for muo, pion and neutrino kinematic variables, also for interaction variables Q2 and W will be reported. ●Comparisons to GENIE-based simulation. ●The eﬀects of pion ﬁnal-state interactions on these cross-sections. ●Neutral pions can be misidentiﬁed as electrons. ●Cross-section for Delta production since Delta production with an absorbed neutral pion would appear as quasielastic-like. ●Resonance production is the most abundant interaction mechanism in DUNE energy. ●Pion kinematics is a background for neutrino oscillations analysis. ●FSI simulation models can be improved by analyzing the CC(𝜋) scattering on diﬀerent nuclei. Barbara Yaeggy for the MINER𝝂A Collaboration - Fermilab Neutral Pion Reconstruction in CH at < E𝝂 > ~ 6 GeV UNIVERSIDAD TECNICA FEDERICO SANTA MARIA MINER𝜈A Experiment Neutral Pion Reconstruction A pair of Electromagnetic Showers as gamma candidates produced via 𝜋0→ 𝛾𝛾 ●Clusters: nested set of hits in a single plane in the same time slice. ●The available clusters are grouped into conical regions about the neutrino interaction vertex (Bayesian Algorithm). ●With the assumption being that they arise from an electromagnetic shower originating at the neutrino interaction vertex. PhotonScore: ●Based on a score Z via log likelihood radio (LLR) for the dE/dx proﬁle for charged pions and neutral pions. ●Events having a score less than 2 are likely to be have a photon, those are selected. Summary References Acknowledgments Selection: ●All the selected events require one and only one neutral pion. ●The invariant mass of the selected gammas is used as a feature for selecting the neutral pion. ●The pair of gammas are most often reconstructed into a 𝜋0 candidate between 60 < m𝛾𝛾 < 200 MeV. This document was prepared by members of the MINERvA Collaboration using the resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Oﬃce of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE-AC02-07CH11359. These resources included support for the MINERνAconstruction project, and support for construction also was granted by the United States National Science Foundation under Award No. PHY-0619727 and by the University of Rochester. Sup-port for participating scientists was provided by NSF and DOE (USA); by CAPES and CNPq(Brazil); by CoNaCyT (Mexico); by Proyecto Basal FB 0821, CONICYT PIA ACT1413, Fondecyt 3170845 and 11130133 (Chile); by CONCYTEC (Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica), DGI-PUCP (DirecciÛn de Gestión de la Investigación - Pontiﬁcia Universidad Católica del Peru), and VRI-UNI (Vice-Rectorate for Research of National University of Engineering) (Peru); and by the Latin American Center for Physics (CLAF); NCN Opus Grant No.2016/21/B/ST2/01092 (Poland); by Science and Technology Facilities Council (UK). We thank theMINOS Collaboration for use of its near detector data. Finally, we thank the staﬀ of Fermilab for support of the beam line, the detector, and computing infrastructure. [1] O. Altinok et al.[MINERvA], Phys. Rev. D 96, no.7, 072003 (2017).Doi:10.1103/PhysRevD.96.072003 [arXiv:1708.03723 [hep-ex]] [2] G. Perdue et al. [MINERvA], JINST 13, no.11, P11020 (2018) doi:10.1088/1748-0221/13/11/P11020. [arXiv:1808.08332 [physics.data-an]] [3] Jonathan Long and Evan Shelhamer and Trevor Darrell “Fully Convolutional Networks for Semantic Segmentation," CoRR abs/1411.4038 (2014) [4] C. Adams et al. [MicroBooNE], Phys. Rev. D 99 , no.9, 092001 (2019) doi:10.1103/PhysRevD.99.092001 [arXiv:1808.07269 [hep-ex]] [5] C. Adams et al. [MicroBooNE], JINST 15, no.02, P02007 (2020) doi:10.1088/1748-0221/15/02/P02007 [arXiv:1910.02166 [hep-ex]] [6] D. Coplowe et al. [MINERvA], [arXiv:2002.05812 [hep-ex]] Motivations Ba


Bacterial cyclooxygenase homologs might be associated with multicellularity Georgy Kurakin1 and Nadezhda Potapova2 1Pirogov Russian National Research Medical University, Moscow, Russia, email: georgykurakin@gmail.com ❑Lipoxygenases (LOXs) could be evolutionarily associated with multicellularity (Paper 1, Paper 2). ❑Some bacteria might use LOXs for cross-kingdom pathogenicity and immune response evasion. ❑Oxylipins are almost universal signalling compounds across all multicellular eukaryotes. ❑Oxylipin biosynthesis is provided by homologous lipoxygenase- like and cyclooxygenase-like enzymes in different kingdoms. What did we know? What was recently found? What about cyclooxygenase-like (COX-like) enzymes? Are they associated with multicellularity? NO- 2 ❑We constructed a series of phylogenetic trees of bacterial cyclooxygenase homologs, animal cyclooxygenases (COXs), plant α-dioxygenases (αDOXs), and fungal COX homologs. ❑Some of these enzymes perform different function, but a biochemically characterized Nostoc COX-like enzyme with a lipoxygenase activity (in the green cluster) indicated a supercluster of bacterial enzymes with probable oxylipin biosynthesis finction. We called it “Our cluster”. 2Kharkevich Institute of Information Transmission Problems RAS, Moscow, Russia, email: nadezhdalpotapova@gmail.com LOX Alginate lyase Pseudomonas aeruginosa LOX LOX LOX Cyp 450 FA desaturase Myxobacteria COX Nitrosomonadales Cyanobacteria Cyp 450 24 15 68 Confidences for Nostoc punctiforme Confidences for Myxococcus xanthus 36 Confidences for Nitrosomonas europaea 1 Confidences for Pseudomonas aeruginosa Indirect extra-phylogenetic confirmation of the close proximity of animal COX and nitrosomonadal homologs: LOX and COX-like protein in one operon in Nitrosomonadales and their functional synergy in animals. (OperonDB data). COX1 ovine ppoC Asp. Fum. αDOX COX-like Nostoc Myeloperoxidase V116 R V L R120 L L L F205 I M F F209 I W F Y348 Y W Y V349 L T I L352 I L I Y355 L T Y N375 N Y N I377 C L M F381 F F F F Y385 Y Y Y F W387 W M W Y M522 I A V I523 A F A G526 Y F I A527 T L G S530 A A A G533 L R Q L534 V L A E-val ~10-11 ~10-4 N.S.S. Substrate-binding residues are conserved between COXs ans Nostoc COX-like protein, but evolved independently in αDOXs and fungal COX-like enzymes. COX PDB ID: 1diy This is confirmed by the substrate placement in COX and αDOX — it is almost opposite (PDB IDs: 1diy, 4kvl, UCSF Chimera model). αDOX PDB ID: 4kvl COX PDB ID: 1diy Nostoc enzyme Model, docking In contrast, the docking results suggest that the bioclemically characterized Nostoc enzyme might bind the substrate like COX (AutoDock Vina docking, UCSF Chimera model). conserved carboxylate- binding Tyr Corynebacteriales Burkholderiales Caulobacterales Rhizobiales Rhodobacterales Oceanospirillales Nitrosomonadales Sphingomonadales Rhodospirillales Geodermatophilales Propionibacteriales Streptosporangiales Methylococcales Alteromonadales Synechococcales Nostocales Chroococcales Oscillatoriales Streptomycetales 0 2 4 6 8 10 12 COX-like enzyme occurrence ❑We have obtained the indirect evidence that “our cluster” proteins are oxylipin-producing enzymes of bacteria closely related to our COXs. ❑The occurrence of “our cluster” enzymes (at the left) is at the highest in filamentous cyanobacteria and Streptosporangiales actinobacteria. They are multicellular. ❑This leads to a conclusion that COX-like enzymes in bacteria are statistically associated with multicellularity (like LOXs). ❑They might be involved in oxylipin cell-to-cell signalling for maintaining complex structure, like human COXs and plant αDOXs. Find out more in our slide deck on ResearchGate: Kurakin, G.F., Potapova, N.A. (2023) Insights into the cyclooxygenase phylogeny. Unpublished. https://doi.org/10.13140/RG.2.2.35390.46402 Methods and full references are included. ResearchGate (@ResearchGate) | Twitter BioRender - Crunchbase Company Profile Funding Created with BioRender.com We used Tree visuali


The HADES Program with HARPS-N@TNG HADES: THE HArps-n red Dwarf Exoplanet Survey L. Affer1 and HADES Team, 1 INAF – Osservatorio Astronomico di Palermo, Piazza del Parlamento 1, 90134 Palermo, Italy - laura.affer@inaf.it Many efforts to detect Earth-like planets around low-mass stars are currently devoted to almost every ex- tra-solar planet search. M dwarfs stand as ideal targets for Doppler radial velocity searches as their low masses and luminosities make low-mass planets orbiting within their habitable zones more easily detectable than those around higher-mass stars. Nonetheless, the statistics of the frequency of this kind of planet hosted by low-mass stars remains poorly constrained. Our M-dwarf radial velocity monitoring with HARPS-N within the HARPS-N Red Dwarf Exoplanet Survey Radial Velocity (HADES) project started in 2012 and is contributing to the widening of the current statistics through the in-depth analysis of accurate radial velocity observations in a narrow range of spectral sub- types from M0 to M3, to investigate the planetary pop- ulation around a well-defined class of host stars. The HADES project is the result of a collaborative effort between the Italian Global Architecture of Plane- tary Systems (GAPS) Consortium, the Institut de Cièn- cies de l’Espai de Catalunya (ICE), and the Instituto de Astrofísica de Canarias (IAC). Figure 1: Overview of the HADES detected planetary sys- tems.The sample’s published planets are shown as red circles: the symbol size is proportional to the minimum planetary mass. Each sys- tem’s Habitable Zone conservative and optimistic limits, are shown as thick dark green and light green bands, respectively (from [3]). Two photometric programs regularly and almost simultaneously follow up the sample of M stars to char- acterize the stellar activity, to highlight periods that are due to chromospheric inhomogeneities modulated by stellar rotation and differential rotation, and thus to dis- tinguish from the periodic signals those due to activity and to the presence of planetary companions. We present the complete analysis of the HADES survey and the results obtained concerning the statistical ([1], [2], [3]), activity ([4], [5], [6]), and characterization ([7], [8]) part as well as the planet revealing part ([9] to [18]), around M dwarfs. Figure 1: Known radial velocity planets (planetary mass vs. or- bital period diagram) around M dwarfs (as listed at http://ex- oplanet.eu/ in December 2020. Planets discovered by the HADES sur- vey are shown as red triangles (from [18], the planet GJ 9689 is shown as a black star). References: [1] M. Perger et al. (2017) A&A, Volume 598, id.A26. [2] E. Gon- zález-Álvarez et al. (2019) A&A, Volume 624, id.A27. [3] M. Pina- monti. et al. (2022) A&A, Volume 664, id.A65. [4] J. Maldonado et al. (2017) A&A, Volume 598, id.A27. [5] G. Scandariato et al. (2017 A&A, Volume 598, id.A28. [6] A. Suárez Mascareño et al. (2018) A&A, Volume 612, id.A89. [7] J. Maldonado et al. (2015) A&A, Vo- lume 577, id.A132. [8] J. Maldonado et al. (2020) A&A, Volume 644, id.A68. [9] L. Affer et al. (2016) A&A, Volume 593, id.A117. [10] A. Suárez Mascareño et al. (2017) A&A, Volume 605, id.A92. [11] M. Perger et al. (2017) A&A, Volume 608, id.A63. [12] M. Pinamonti et al. (2018) A&A, Volume 617, id.A104 [13] L. Affer et al. (2019) A&A, Volume 622, id.A193. [14] M. Perger et al. (2019) A&A, Volume 624, id.A123. [15] M. Pinamonti et al. (2019) A&A, Volume 625, id.A126. [16] B. Toledo-Padrón et al. (2021) A&A, Volume 648, id.A20. [17] E. González-Álvarez et al. (2019) A&A, Volume 649, id.A157. [18] J. Maldonado et al. (2021) A&A, Volume 651, id.A93.


References: Ohyama, Terashima, & Sakamoto 2015, ApJ, 805, 162 ● Sakamoto et al. 2014, ApJ, 797, 90 ● Sanders et al. 2003, AJ, 126, 1607 ● Stierwalt et al. 2013, ApJS, 206, 1 ● Sun et al. 2018, ApJ, 860, 172 ● ALMA Project Code 2015.1.00714.S 10 1 10 0 10 1 Peak TB (K) 0.0 0.5 1.0 1.5 Mass Fraction per dex Centers Non-centers Combined 10 1 10 0 10 1 10 1 10 0 10 1 PHANGS PHANGS NGC 3256 Build GMC catalog in NGC 3256 to compare with spirals ● Sizes ● Masses ● Boundedness ● CO conversion factor (expect LIRG to be low and from measurements XCO ∝ Σ / (𝜎TB), Narayanan+ '11) Replicate pixel-based and cloud-based analyses in new maps of entire NGC 4038/9 merger Next steps NGC 3256 additionally split into northern (triangles) and southern (stars) nuclei. Vertical lines show 𝛼vir of 1 and 2. Per-galaxy, mass-weighted, inner 68% of pixel value distributions. Squares are centers, circles are non-central regions. Mass-weighted densities of pixels from 120 pc resolution maps. Initial PHANGS sample for comparison (Sun+ '18). 10 3 10 6 10 9 Pturb ∝ Σ 𝜎 2 10 0 10 1 𝛼vir ∝ 𝜎 2Σ-1 10 0 10 1 10 2 𝜎(km s 1) 10 0 10 2 10 4 Σ ☉ (M pc 2) 10 0 10 1 10 2 10 3 10 4 ☉ Σ (M pc 2) 10 0 10 1 10 2 𝜎(km s 1) NGC 3256 M31&M33 PHANGS Sample NGC 4038/9 Comparison to "normal" galaxies 10 h27 m53.0 s 51.5 s 50.5 s -43°54'05" 10" 15" 20" 25" 30" RA (J2000) Dec. (J2000) 1 kpc 53.0 s 51.5 s 50.5 s RA (J2000) 1 kpc 0.5 1.0 1.5 2.0 2.5 Σ (10 4 ☉ M pc 2) 30 60 90 120 150 𝜎(km s 1) Bulk dense gas surface density and velocity dispersion ● Channel width: 5 km / s ● Per-channel RMS: 0.9 mJy / beam ● Integrated RMS: 80 mJy / beam km / s (34 M☉ / pc2) ● Milky Way conversion factor used here Marked regions ● Elliptical 1 kpc projected distances from nuclei ● Rectangles around southern nucleus jet CO (2-1) maps ● Data cover central 7 kpc at 235 GHz ● CO (2-1) and CS (5-4) observed with 2.5 km/s resolution ● Continuum bandwidth: ~7 GHz ● Two main array configurations ● ACA and total power data were obtained ● Interferometric maps sensitive to scales from 53 pc to 6200 pc ALMA observations HST optical and IR view of NGC 3256. Square shows ALMA FoV (Evans+). ● Distance: 44 Mpc (0.2" = 43 pc) ● LIR = 6.5 x 1011 L☉ (Sanders+ '03) ● Ideal LIRG to study GMC-scale star formation ● Late-stage merger (Stierwalt+ '13) ● Starburst driven outflow in face-on northern nucleus (v ~ 750 km / s) ● Jet in edge-on southern nucleus has AGN contribution (Sakamoto+ '14, Ohyama+ '15) NGC 3256 ★brunettn@mcmaster.ca Nathan Brunetti★ & Christine D. Wilson Molecular gas in nearest LIRG denser and more turbulent than local disks


Introduction Valorizing Agro-Industrial Waste: Exploring Antimicrobial Peptides Prepared from Feather Keratin Justine Horner,a Amira Ben Mansour,a Sutida Jansod,a Claire Gay,a Roger Martia* a University of Applied Sciences Western Switzerland (HES-SO), Haute Ecole d’Ingénierie et d’Architecture de Fribourg (HEIA-FR), Boulevard de Pérolles 80, CH-1700 Fribourg, Switzerland Results and outlooks Microbial colonization on surfaces contributes to infections, imposing significant health and economic burdens. Biobased alternatives to commercial antimicrobial coatings are increasingly sought after for sustainable solutions. Antimicrobial peptides (AMPs), biomolecules found in various natural sources, are known for effectively inhibiting microbial growth. Bioactivity of peptides are associated with their structural characteristics. Therefore, our strategy was to generate a large pool of antimicrobial candidates, by a large screening of various preparation methods, combining sometimes several hydrolysis approches The RELIANCE consortium consists of 15 partners spanning 8 EU and 2 non-EU countries. Partners include research institutions, universities, SMEs, and large industries. Acknowledgements Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HADEA). Neither the European Union nor the granting authority can be held responsible for them. This work is part of a project that has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No. 101058570 (RELIANCE). This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI). The goal of this project is to explore keratin- based AMPs from feather waste, a sustainable and abundant source, to produce contact-killing coatings for self- disinfecting surfaces. Various extraction and purification strategies were employed to generate a wide range of AMP candidates with optimal bioactivity. Peptides extraction Peptides size also matters. That’s why ultrafiltration has been used not only as a purification methods, but also in a way of separating peptides mixtures into fractions of several mass intervals. From feathers to antimicrobials Feather Waste Contact killing antimicrobial peptides Keratin hydrolysates Peptides mixtures Surface functionalization The project now advances to the next phase: coupling keratin-based antimicrobial peptides with nanoparticles, which will be applied to surfaces via cold atmospheric plasma deposition to create self-disinfecting materials. Keratin structure Feathers are mainly composed of keratin, a mechanically strong structural protein, insoluble in water, and resistant to degradation. To break down this protein into a mixture of peptides, different types of bonds must be broken : • Disulfide (S-S) bonds that contribute to the strength of keratin • Some peptide bonds that constitute the backbone of this molecule, but not all of them. Screening of peptides preparation methods In accordance with the process flow delineated on the left, more than 50 distinct samples encompassing various keratin peptide fractions were produced, in quantities ranging from a few milligrams to over 1 gram. Antimicrobial activity Preliminary analyses have shown promising antimicrobial activity of keratin-derived peptides in solution, particularly against viruses and Gram-negative bacteria. Process scale-up Production has been scaled-up 20 x for one of the most bioactive peptides samples, revealing different technical challenges, in particular for the work-up stages, but generating yields very close to the equivalent small scale experiments (around 40% of purified peptides regarding the mass of feather feed). cys-S-S-cys CAP DEPOSITION CHEMICAL COUPLING Nanoparticles AMP Functionalized nanoparticles + Self disinfectant surfaces t = 0 t


The observation and future prospect of temperature gradient in the shock of SN1006 T. Kasuga, H. Odaka, A. Bamba, Y. Kato (The University of Tokyo), S. Katsuda (Saitama University), H. Suzuki (Konan University),K. Nakazawa (Nagoya University) [1]Vink, J., Laming, J. M., Gu, M. F., Rasmussen, A., and Kaastra, J. S., “The Slow Temperature Equilibration behind the Shock Front of SN 1006”,The Astrophysical Journal, vol. 587, no. 1, pp. L31‒L34, 2003. doi:10.1086/375125. [2] Yamaguchi, H., Eriksen, K. A., Badenes, C., et al. 2014, ApJ, 780, 136. doi:10.1088/0004- 637X/780/2/136 [3] http://x-ifu.irap.omp.eu/x-ifu/key-capabilities Introduction We find that the electron temperature increases toward downstream in the northwestern shock-heated plasma of SN 1006. Athena observation expects to show us the spatial variation of ion temperature. This will lead to our understanding of the shock heating and relaxation mechanism in SNRs. Our recent study with Chandra : Electron temperature of SN1006 NW shock Data set • ObsID 1959 (April, 2001, 88.98 ks) • ObsID 13737 (April, 2012, 87.09 ks) Region size : 140” ×15” Fig.4 Comparison of observed temperatures to a Coulomb scattering model ATHENA study : Ion temperature Our objective : Understanding the mechanism of collisionless heating and thermal relaxation after heating Fig.3 The spectra and besf-fit models. These spectra imply that the inner region, layer 1, has higher temperature than the outer region, layer 4 10−3 0.01 0.1 1 normalized counts s−1 keV−1 0.6 0.8 1 1.2 1.4 1.6 1.8 2 −2 0 2 4 (data−model)/error Energy (keV) 1959 - layer1 - layer4 13737 - layer1 - layer4 Result • Electron temperature increases toward inner region • Electron temperature increase is estimated to be slower than Coulomb scattering Fig.2 Chandra X-ray image of the northwestern region of SN 1006 with our analysis regions We want to observe the variation of ion temperature Why? → To understand shock heating and energy transfer system Near the shock front → Evaluate the efficiency of shock heating Inner region → Comparison to Coulomb scattering How? → From the width of each ion emission line ➡ Need observation with good energy and spatial resolution of Athena Spectral fitting Model : phabs × vnei kT, nt and some abundance are free Simulated Athena spectrum ・Using the best-fit model of center layer 1 ・Exposure time of 10 ks in total ・Smoothing spectrum with Gaussian to reproduce the line width derived from ion temperature from Rankin-Hugoniot relation Ne ( ) → Mg ( ) → Si ( ) → ・Replacing line emission by some gaussian, linking the width of each gaussian to show the same temperature Estimated temperatures : Ne → Mg → Si → ➡ Athena observation can distinguish mass-proportional ion temperature 307 keV 3.66 × 10−3 keV 370 keV 5.33 × 10−3 keV 428 keV 7.28 × 10−3 keV 335+15 −13 keV 404+258 −113 keV 566+438 −189 keV Reference Conclusion masahiro.ichihashi@phys.s.u-tokyo.ac.jp Masahiro Ichihashi (The University of Tokyo) Particle temperatures just after the collisionless heating are thought to be different between electron and ion[1] Ideal → (Rankine-Hugoniot relation) Several studies suggest breaking of this relation in the electron-to-proton ratio[2] The energy transfer of particles is caused after collisionless shock heating The simplest way → Coulomb scattering However, no observational evidence exist ➡Need to evaluate absolute values of each particle’s temperature by observation kTi = 3 16 miv2 s We sliced the shocked region to eaxmine the shock heeting mechanism. Fig.1 Schematic diagram of particle heating near shock wave shock front ISM vs post shock region Ion Electron Collisionless heating Equilibrium state kTi = 3 16 miv2 s (ideally) Energy transfer cold hot Fig.5 Simulation results of the Athena X-IFU spectra and Gaussian replacement of Ne line 0.01 0.1 1 10 counts s−1 keV−1 data and folded model 0.85 0.9 0.95 1 1.05 0 5 10 (data−model)/error Energy (keV) ichihashimasahiro 25−Oct−2022 16:58


Multi-scale computational modelling of neuronal dynamics in genetic epilepsies Rosch RE1,2, Heilbron M1, Peters C3, Ruben P3, Lim M4, Pal D4,5, Goyal S6, Hughes E4, Baldeweg T2, Friston KJ1 1Wellcome Trust Centre for Neuroimaging, University College London. 2Developmental Neurosciences Programme, University College London. 3Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada. 4Department of Paediatric Neurology, Evelina London Children’s Hospital. 5Department of Basic and Clinical Neuroscience, King’s College London. 6Department of Clinical Neurophysiology, Evelina London Children’s Hospital. Richard E Rosch BMBCh r.rosch@ucl.ac.uk dynamic-brains.com roschkoenig τ3 Thalamic Reticular Thalamo- cortical Intrinsic Thalamic τ4 h3 h1 h4 h2 A τt1 τt2 τt3 RF LF LT RT Th Frontal Cortical Thalamic Temporal Cortical B Neuronal models bridge observational scales in neurological disorders with genetic causes SCN1A channel gating abnormalities Network changes in GRIN2A-epilepsy Single SCN1A mutant causes loss of function and gain of function Sleep dynamics associated with GRIN2A are explained by thalamic microcircuitry Multi-scale models of dynamic pathology reveal links between genotype and phenotype • Exonic deletion identified in GRIN2A gene in a child with acquired aphasia and EEG features suggestive of focal epilepsy • Overnight sleep EEG was performed using telemetry setup to monitor for continuous spike-wave discharges in sleep (CSWS) as observed in affected sibling Can network modelling identify possible causes for abnormal sleep dynamics in this patient? fMRI Developmental Period EEG / MEG Animal Models Cell Models Genetics SCN1A ECOG / SEEG microscale macroscale mesoscale GRIN2A Spatial Scale Modelling describes hidden states • SCN1A-mutation (A1273V, AV) identified in a child with diagnosis of Dravet-spectrum epilepsy, onset at 6 months of age (Fig 1) • Patch clamp measurements in CHOk1 cells at 37 and 40ºC were used to estimate steady state activation, fast inactivation, and fast inactivation recovery curves Can changes of channel dynamics in this patient explain the temperature-sensitive phenotype? Fig 1: SCN1A variant. The patient had heat-induced seizures and a de novo mutation in a transmembrane domain of the SCN1A gene. Fig 3: Simple corticothalamic network model for sleep dynamics. Using dynamic causal modelling, EEG dynamics are explained with a network of cortical (not shown) and thalamic (A) neural mass models connected in a simple distributed sleep network . • Empirical measurements alone often focus on macro- or microscale abnormalities • Emergent properties may be better understood in terms of mesoscale features at the level of neuronal circuits • Computational models allow bottom up or top down inference based on empirical data Fig 4: Hodgkin Huxley model of abnormal cortical action potential dynamics. Empirical patch clamp measures were implemented in HH model for wild type (left) and variant (right) SCN1A, for normal (black) and febrile (red) temperatures. Bottom panels show bifurcation analysis for varying input currents. The AV variant can sustain firing at higher input currents than the wildtype, especially at high temperatures. Fig 2: Empirical techniques. Currently used empirical techniques allow inference on restricted developmental and spatial scales only • A single variant in SCN1A can explain both loss of function (reduced firing frequency), and gain of function (increased tolerance to high inout states) • High temperatures cause distinct gating patterns that cause reduction in depolarision block during febrile temperatures, which may relate to seizure disorder Fig 5: Sleep dynamics can be reduced to limited set of model parameters. Different sleep stages have distinct spectral signatures (A). The differences in spectra between sleep stages can be summaries in a subset of parameters identified using Bayesian Model Comparison (via free energy, B). Two thalamic


LexFCS – Extending the Federated Content Search for Lexical Resources Contributions • (backwards) compatible extension of FCS for lexical resources, • “lexical resources” capability to indicate endpoint support, • LexCQL – query language based on Contextual Query Language (OASIS/Library of Congress) with constraints for searchable fields, operators and relation modifiers, • Lex Data View – key-value based result serialization, (optional) LexHits Data View as extension of BASIC Hits Data View with inline annotations. • First prototypes in Text+ including client and endpoint implementations, custom visualization in FCS Aggregator Query Language • Based on Contextual Query Language with constraints • Boolean operators: AND, OR, NOT • Relations: =, ==, is with Modifiers: unmasked, lang ignore/respectCase, ignore/acceptAccents, honorWhitespace, regexp, partial/fullMatch • Indexes (searchable fields): based on data model, with additional entry-based language field “lang” • Examples • lemma = "car" · car · "car" · "car wash" • pos = "NOUN" AND synonym = "house" • lang = "deu" AND translation =/lang=eng "member of parliament" • pos is https://universaldependencies.org/u/pos/NOUN Motivation • CLARIN Federated Content Search (FCS) focussed on (annotated) full- texts, corpora or similar flat text structures → unable to include more structured information, especially lexical resources like dictionaries, word nets and graphs • Difficulties for querying and displaying lexical resources in flat structures without loss of information → LexFCS extension required Data Model • Key-value based Lemma entries • Entry: a single result, with optional language info • Field: set of values grouped by type, e.g., entryId, lemma, phonetic, translation, transcription, definition, etymology, case, number, gender, pos, segmentation, sentiment, antonym, hyponym, hypernym, meronym, holonym, synonym, subordinate, superordinate, related, ref, senseRef, citation • Value: actual “content”/value with attributes for additional context, e.g., xml:id, xml:lang, langUri, preferred, ref, idrefs, vocabRef, vocabValueRef, type, source, sourceRef, date • Natural serialization in Lex Data View (XML) Entry Field Value Value Value Type Attribute Attribute Attribute Field Value Type Attribute Attribute Example from https://corpora.wortschatz-leipzig.de/en/res?corpusId=deu_news_2023&word=Auto Example from https://https://thesaurus-linguae- aegyptiae.de/lemma/104730?lang =en Erik Körner, Uwe Kretschmer koerner@saw-leipzig.de The NFDI consortium Text+ is funded by the Deutsche Forschungsgemeinschaft (DFG) – project number 460033370 Next Steps • Collecting more feedback about • Lex Data Model, • Requirements and use-cases of users and data providers, • User interface and visualization • Finalizing LexFCS specification proposal with CLARIN FCS Task Force TPPSSI demonstrator https://tppssi-demo.saw-leipzig.de/lex/ Specification draft and examples https://gitlab.gwdg.de/textplus/ag-fcs-lex-fcs-dataview Features Overview and Demo • Grammar with optional speech playback • Hierarchical structure of e.g. definitions • Highlighting of relations between values using xml:id and idrefs attributes, e.g., for definitions, examples and senses • Citations, examples with date and source / reference • Internationalization (user interface, with vocab(Value)Ref translation of POS Examples from https://tppssi-demo.saw-leipzig.de/lex/


U.S. Environmental Protection Agency Office of Research and Development EPA www.epa.gov EVALUATION OF 1066 TOXCAST CHEMICALS IN A HUMAN STEM CELL ASSAY FOR DEVELOPMENTAL TOXICITY TB Knudsen1, AM Richard1, PG Kothiya1, RS Judson1, KA Houck1, KC Crofton1, RS Thomas1, S Little1, ES Hunter2, NC Baker3, CKM Leung1,4, JA Palmer5, AM Smith5, MR Colwell5, PR West5, RE Burrier5, LA Egnash5 1. National Center Computational Toxicology, US EPA, Research Triangle Park, NC 27711 (RTP), 2. NHEERL, US EPA-RTP, 3. Lockheed Martin-RTP, 4. ORISE-RTP, 5. Stemina Biomarker Discovery, Inc., Madison, WI 53719. A. INTRODUCTION B. METHODS C. METRICS OF ASSAY QUALITY Thomas B. Knudsen l knudsen.thomas@epa.gov l 919-541-9776 EPA’s ToxCast program has generated data on a battery of 821 in vitro endpoints for 1066 compounds including pharmaceuticals, natural products, pesticidal active ingredients, consumer use chemicals and industrial ingredients [1]. To increase the diversity of in vitro assays used to assess developmental toxicity, the ToxCast library was evaluated in the Stemina ‘devTOX quickPREDICT’ (qP) platform [2]. This assay measures two small molecules (ornithine, cystine) in medium conditioned by human embryonic stem (hES) cells yielding an ornithine:cystine ratio (o/c ratio) indicative of an imbalance in metabolism predictive for teratogenicity in a human system. Here, we provide a preliminary evaluation of the results focusing on metrics of assay quality, performance, and predictivity. Platform: Metabolomic analysis of the hES cell secretome for predictive developmental toxicity (devTOX platform) was reported in 2010 [3]. A 2011 pilot study conducted with 11 ToxCast chemicals predicted developmental toxicity in concordance with animal data with 83% accuracy [4]. In 2013, the Stemina ‘devTOX-qP’ platform was developed as a high throughput screening (HTS) assay for developmental toxicity testing [2]. The model was trained with 23 pharmaceuticals (96% accurate). An independent 13 pharmaceutical test set with known (human) teratogenicity was 77% accurate. Dosing: H9 cells (WA09 line, WiCell Research Institute) were cultured in 96-well plates. Each experimental plate included methotrexate (MTX) reference controls as calibration standards for negative- (5 nM) and positive- (1 uM) response as well as media blanks and 0.1% DMSO vehicle. Undifferentiated cells were exposed for 72h to test compound (blinded and in triplicate) with media and test compound replacement every 24h; maximum test concentration (MTC) for single concentration screen and/or 8-point conc. series set at 1-, 10- or 100-uM based on ToxCast cytotoxicity burst (TC-Cyto-Burst) [1] or compound availability. Evaluation: Cell-conditioned media from the final 24h treatment period was analyzed by LC- MS to determine ornithine/cystine (o/c) ratio. Concurrent cell viability was assessed with the CellTiter-FluorTM assay (Promega). The cytotoxicity Relative Fluorescence Unit (RFU) was background corrected and normalized to mean RFU of the neutral control (0.1% DMSO). Teratogen Index (TI) was defined by the o/c ratio, using the default threshold value < 0.88 and concurrent cell viability (RFU values for test compound relative to DMSO control). D. METRICS OF ASSAY PERFORMANCE and PREDICTIVITY LEFT • DMSO control (n=415) • MTX-negative reference (5 nM, n=208) • MTX-positive reference (1 uM, n=207, 210) • MTX-sample in ToxCast (3 nM, 1 uM, n=1) RIGHT • MTX-sample crosses TI threshold at 0.38 uM • ToxCast cytotox burst for MTX = 0.69 uM Quality Standards. Methotrexate (MTX) in the ToxCast library (blinded) gave ornithine/cystine (o/c ratio) and cell viability (cv) measures identical to the calibration standards. DISCLAIMER: The views expressed in this article are those of the authors and do not necessarily reflect the views of policies of the USEPA. Mention of trade names or commercial products does not constitute endorsement or recommendation for use. Replicate Samples. Concentration (8-point) resp


RESEARCH POSTER PRESENTATION DESIGN © 209 www.PosterPresentations.com Panama is known for its remarkable ”four distinct oceans”, driven by seasonal and stationary changes in physical and chemical conditions in the Caribbean side, the Gulf of Chiriqui, and the Gulf of Panama by the dynamic position of the Intertropical Convergence Zone (ITCZ) each year (Fig. 1). In this case, the Gulf of Panama, is part of a climate zone known as the Panama Bight, influenced by the propagation of the ITCZ due to the Bermuda high. During its southernmost position at 1°N, from December to April, the north trade winds from the Bermuda high, pass through the lower elevations of the isthmus, inducing a sea level drop by a subtle divergence of waters to the west. This process triggers the Coriolis effect, leading to the upwelling of deep-sea waters, resulting in a drop in sea surface temperatures (14° to 22° Celsius), increased salinity (SSS), a surge in photosynthetic organisms and nutrient-rich waters (nitrates and phosphates), and various other factors that support a commercially valuable fisheries industry on a large scale (Graph 1). This event concludes between May and October, coinciding with the boreal summer, when the ITCZ migrates to its northernmost position where the Choco surface jet winds dominate the area, rotating towards the northeast due to the Coriolis effect, halting the upwelling effect, letting water get to its average temperature (28° to 31° Celsius) while introducing substantial moisture inland and simultaneously, the SSS decreases due to an influx of freshwater, and the temperature rises (Graph 2). INTRODUCTION OBJECTIVES METHODOLOGY The Physical Monitoring Program (PMP) of STRI has established seven strategic sites along the Gulf of Panama (Fig. 2), an ongoing venture since 2017. These sites are dedicated to collecting data regarding the water column, tracking temperature variations, and more parameters. We cross-verify our on-site measurements with remote sensing data obtained from satellites, enabling detailed comparisons between upwelling and non-upwelling events. Our sites span a range of locations within the Bay of Panama, from Taboga Island close to the City of Panama, out to the Las Perlas archipelago. Each site is characterized by its maximum depth and distance from the possible anthropogenic effects of Panama City and Panama Canal Shipping: sites 1 and 2 (20 and 35 meters) are positioned farthest from the coast, and sites 3, 4, and 5 are located in the deepest waters (40 to 60 meters) between the coast and the Las Perlas Islands, sites 6 and 7 (25 to 27 meters) are located closest to the coast and Panama City. Sites 1 and 2 are the most productive and biodiverse of the seven sites—sites 6 and 7 are likely to be the most affected by Panama City and ocean-going traffic. Sampling was carried out using EXO 2 and 3 (Fig. 3) multiparametric sondes (Xylem YSI). Sondes were equipped with pH, temperature, DO, Chlorophyll, turbidity, and conductivity sensors) programmed to record every second as they were allowed to descend through the water column (pausing 15-30 seconds every meter) until they reached the bottom (Fig 4). At the end of every sampling trip, data were retrieved, transferred to an Excel file where they were examined for any anomalies, and then transferred to final storage. An Excel file is used to analyze and visualize trends and summary statistics related to depth, site, and date. In conjunction with our on-site measurements, we use Remote Sensing Systems, specifically the NOAA Daily Optimum Interpolation Sea Surface Temperature (OISST) Satellite, providing extensive data on Sea Surface Temperature (SST) anomalies dating back to 1981. We set the data ranging from a 7-day compilation of anomalies. We integrate data from the Copernicus Marine Service, featuring the Global Ocean Hourly Sea Surface Wind and Stress from Scatterometer and Model satellite data, offering wind variables, divergence, and curl (Fig. 5). 1


Teff (K) Log  Teff(K) Log calibration for He I 10830 Teff(K) Log calibration for Hα Log calibration for Ca II IRT- a Analysis of chromospheric flux-flux relationships of M Dwarfs using visible and near-infrared CARMENES spectra F. Labarga1; D. Montes1; C. Duque-Arribas1; A. López-Gallifa1; J. A. Caballero2; S. V. Jeffers3; A. Reiners4; I. Ribas5; A. Quirrenbach6; P. J. Amado7; and the CARMENES Consortium 1 Dpto. Física de la Tierra y Astrofísica & IPARCOS-UCM (Instituto de Física de Partículas y del Cosmos UCM), Fac. CC Físicas, Univ. Complutense de Madrid, Spain 2 Centro de Astrobiología (CSIC - INTA), ESAC campus, camino bajo del castillo s/n, 28691, Villanueva de la Cañada, Madrid, Spain 3 Max Planck Institute for Solar System Research, Göttingen, Germany 4 Institut für Astrophysik, Georg-August-Universität, Göttingen, Germany 5 Institut de Ciències de l’Espai & IEEC-CSIC, Campus UAB, c/ de Can Magrans s/n, E-08193 Bellaterra, Barcelona, Spain 6 Zentrum für Astronomie der Universität Heidelberg, Landessternwarte, Heidelberg, Germany 7 Instituto de Astrofísica de Andalucía (IAA, CSIC), Glorieta de la Astronomía s/n, E-18008 Granada, Spain Fig. 1: Results of applying the spectral subtraction for selected chromospheric activity indicators (He I D3, Na I D1, D2, Hα and the first two of three Ca II IRT lines in the VIS) with the CARMENES spectra of J22468+443 (EV Lac) at the maximum level of chromospheric activity (Flare) and in a previous quiescent phase as well as the synthetic spectrum obtained with a M3.5 V reference star (J22096-046). The spectra to perform the subtraction are shown at the bottom and the obtained subtracted spectra at top from where we derived the EW of the chromospheric contribution. The algorithm makes use of the python code iSTARMOD as described in Labarga & Montes (2020). The spectral subtraction technique (Barden, SC; 1985, Montes et al., 2000) is well suited for the study of chromospheric activity in M-dwarfs, given that this type of stars does not have a well-defined continuum, especially in its late-types. The detailed analysis of the activity indicators is important from one side in order to confirm or discard all the possible planets around these stars and by the other studying its dependency with other stellar parameters as rotation, age and depth of the convective zone. This is the case for the stars of the CARMENES survey (Quirrenbach et al. 2020), where a WG on stellar activity, elaborating on its characterization in order to discount the jamming effect on stellar spectra of activity and rotation in the detection of exoplanet candidates. The CARMENES has the aim of detecting Earth-mass planets orbiting in the habitable zones of their host stars, focusing on over 300 M-type dwarf stars, spread over the complete M spectral range. For the work carried out in this study, the spectral subtraction technique (see Fig. 1) has been applied using the Python code iSTARMOD (Labarga & Montes, 2020). ABSTRACT: Exploiting the huge amount of data provided by the CARMENES survey, this work aims to study the chromospheric activity of M dwarfs based on a sub-sample (active RV-loud M dwarfs) of CARMENES GTO sample. Using the spectral subtraction technique and calibrations of the continuum-flux near the line of interest, the available information on the chromospheric activity flux is extracted. Most of the chromospheric indicators included in the spectral range of the spectrograph, ranging from visible (VIS) - that include the Na I D1&D2 He I D3, and Hα lines - to near-infrared (NIR) - that include the Ca II IRT, He I 10830, Paschenα and Paschenβ lines - are used. For the implementation of the spectral subtraction technique, a Python code (iSTARMOD) based on a previous FORTRAN one, formerly used by the research group, is used. The synthetic spectra for effective temperatures in the range [2400, 7000] K, allows through the calibrations a comparison of the flux-flux relationships with previous works performed


SUMMARY METHODS This study implements a deep convolutional neural network with the great potential to recognize patterns of pollen phenomena that enable the prediction of pollen concentrations. The model is trained using data from 2009 to 2015 from multiple meteorological data sets, satellite data, and processed data reflecting pollen flux as input for the model. The model forecasts pollen counts one to seven days ahead for the entire year of 2016. The performance of the algorithm for pollen prediction was evaluated using statistical parameters and categorical statistics evaluation by comparing 1-7 forecast to observation. The algorithm obtains a relatively high index of agreement (0.81-0.90) and Pearson correlation coefficient (0.88-0.75). Evaluation of categorical statistics based on defined threshold levels show satisfactory results. Highlights • Model developed and tested for real-time daily forecast • Model can forecast daily pollen concentrations within minutes • Good accuracy for daily weed and tree pollen forecast for 2016 Pollen data has been measured and acquired from the Houston Department of Health and Human Services (HDHHS) archives. Pollen data contains daily pollen (count/m3) of 25 tree species, 15 weed species and one generalized grass species. We obtained meteorological data from the Texas Commission on Environmental Quality (TCEQ), which operates the Continuous Ambient Monitoring Sites (CAMS) in various metropolitan areas within the state of Texas. We selected data from CAMS station 695 (Moody Tower, near Downtown Houston) for its close proximity to the HDHHS pollen measurement station. Map of Study Area Fig. 1: Map of the study area in Houston. Moody Tower (Red) is the location of collected meteorology data. Pollen Station (Blue) is the location of collected pollen concentration data. A grey area (centered on the Pollen Station) represents the Leaf Area Index (LAI) based on MODIS data for pollen flux calculations. Real-time 7-Day Forecast of Pollen Counts Using Deep Convolutional Neural Network Yannic Lops1, Yunsoo Choi1 (ychoi6@uh.edu), Ebrahim Eslami1, Alqamah Sayeed1 1Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX 77204, USA RESULTS Acknowledgement: We acknowledge the Texas Commission on Environmental Quality (TCEQ) and Houston Health Department for sharing their data. STUDY AREA RESULTS Deep CNN Forecasting System Fig. 2: Structure of the Deep CNN pollen forecasting system. Input data consist of pollen measurements, meteorological data, and processed data. Processed data consist of: • Meteorological adjustment factor (Ke) Tte, RHte, and WSte represent the threshold values for temperature, relative humidity, and wind speed respectively. C1, C2, and C3 are meteorological resistance factors. • Normal pollen distribution (Ce) Where d is the number of consecutive days which pollen measurements meet or exceed the pollen count, µ is the mean distribution, and σ is the standard deviation. • Characteristic concentration (C*) Where canopy height (hc) is the mean canopy height of the vegetation species. LAI is the computed mean Leaf Area Index from MODIS satellite image data for the respective time period. pq is set as ‘Pollen Count +1’. • Pollen flux (Fp) Where u* is the averaged frictional velocity Deep CNN Model Fig. 3: Simple representation of the Deep CNN model. For evaluation, the categorical statistics evaluation, and pearson correlation coefficient (r) and index of agreement (IOA) statistical evaluation methods are used. Each pollen category and days predicting ahead are evaluated. The categorical statistics evaluation consist of: • Hit Rate (HIT) • Critical Success Index (CSI) • False Alarm Rate (FAR) • Equitable Threat Score (ETS) • Proportion of Correct (POC) Categorical statistic evaluation from 4 quadrants: Na - Predictions above and observations below threshold Nb - Prediction and observation above threshold Nc - Predictions and observations below threshold Nd - Predi


Title: An Overview of Data Science Courses in Hungary and the Philippines Authors: Joseph Yap, Doctoral Student, Eötvös Loránd University, Budapest, Hungary, jomyap@student.elte.hu ORCID: 0000-0002-7852-1047 László Nemes, Doctoral Candidate, Eötvös Loránd University, Budapest, Hungary, nemes.laszlo84@gmail.com ORCID: 0000-0001-9629-3677 Keywords: LIS training, curriculum, data science education, Hungary, Philippines Abstract: Introduction Data, information, and knowledge are the basic components of librarian training. In practice, having an organized library collection, adhering to system protocols, and providing quality service must be aligned with LIS education through theory learning. In the last decade, data operations and their systematization have become more widespread, and data science has emerged. Data science is covered in several fields, from informatics to data visualization and art courses. Higher education programs in most countries have three levels: bachelor, master's, and doctoral. This is also true for some library and information science programs. The goal of our poster is to compare the data science programs offered at higher education institutions in Hungary and the Philippines. Objectives As we understand the global role of data science in LIS education, this study aims to answer the following questions: 1. Why do we need to find a link between data science and Library and Information Science (LIS)? 2. Are data science courses being offered and integrated in existing LIS programs? 3. Is librarianship training including data science courses the same for Hungary and the Philippines? 4. How can Asia and Europe share experiences in building a data science course? Methods Data selection is based on existing LIS school directories from the Philippines and Hungary. We examined open access information and available public curricula from the webpages of known LIS universities or schools. We searched their national qualifications, frameworks or any relevant training and output requirements in becoming a librarian. As an output, we are presenting the data and process visualization to give us an idea of their similarities and differences.


INTERNATIONAL PARTICLE PHYSICS OUTREACH GROUP Engaging the world with science S. Goldfarb, University of Melbourne, Lepton-Photon 2021, Manchester, UK, 10-14 Jan 2021 Fundamental Components of Scientific Research Communication • Develop messages & strategies • Optimise platforms & networks • Create effective material • Implement and evaluate Education & Outreach • Establish understanding of scientific process • Instil appreciation of fundamental research • Build trust with communities • Train the next generation of scientists The IPPOG Collaboration International Scientific Collaboration • Active researchers, experts in communication and education • 32 countries, 6 experiments, 1 intl. lab (CERN), 2 assoc. members (DESY, GSI) • Twice annual collaboration meetings Goals • Sustainable development of particle physics outreach • Improvement of scientific educational standards worldwide Working Groups • Explanatory content for hot topics in particle physics • Expansion of physics Masterclasses to new audiences worldwide • Applications of particle physics research to society • Development of exhibitions and material supporting public engagement IPPOG’s Worldwide Activities International Particle Physics Masterclasses • Students invited to local institutes to become “Researchers for a Day” • Introductory lectures, analysis of real data, worldwide videoconference • 2019: 60 countries, 220 labs, 14,000 students • 2022: 24 Feb - 9 Apr & 11 Feb (UN Day for Women & Girls in Science) physicsmasterclasses.org Global Cosmics Portal • Central Hub for worldwide classroom cosmic ray programmes globalcosmics.org Organisational Support and Promotion of • International Muon Week, Worldwide Data Day (QuarkNet) • International Cosmics Day (DESY) • Beamline for Schools (CERN, DESY) Preparing the Future Support for particle physics and related fields • Develop material and activities in support of European Strategy Update 2020 • Extend partnerships in scientific, educational and communication societies and networks, including APS, EPS, NuPECC, APPEC, IAPS, EPPCN, Interactions Support for science education • New online platforms for educational programmes • New resource database targeting teachers and students worldwide Support for everyone • Continued global expansion of membership and programme reach • Diversity, Inclusion Accessibility Working Group to support new audiences The Education, Outreach & Communication we do today lay the foundation for tomorrow’s support and secure the next generation of scientists. Poster presented on behalf of the IPPOG Collaboration © 2022 CERN IPPOG’s efforts stretch well beyond particle physics by teaching students to think critically, thus becoming knowledgeable and productive citizens. New online platforms for 2022 ippog.org ippog.org/ippog-resource-database IPPOG Timeline 1997 Birth of European Particle Physics Outreach Group (EPOG) formed under the joint auspices of ECFA and EPS-HEPP 2005 Birth of International Particle Physics Masterclasses Now in over 60 countries worldwide 2011 Global Expansion to IPPOG Israel, Australia, USA, South Africa, Brazil, India, Mexico,… 2016 Formal Scientific Collaboration Memorandum of Understanding 2022 Celebrating 25 Years of Outreach Excellence Dedicated workshops to extend our capability “…the particle physics community has a moral obligation to inform the public on its activities. To do this well, experiences must be shared among countries in view of the need to optimize the use of resources.” - Chris Llewellyn-Smith, CERN Director General, 1997Coming soon!


FACULTY OF COMPUTER SCIENCE Katrin Krieger - Faculty of Computer Science - Otto von Guericke Universität Magdeburg/Germany - katrin.krieger@ovgu.de Creating Learning Material from Web Resources Motivation Observation: Learners use unstructured legacy Web resources as learning material, although those resources have not been created as content in formal learning settings. Katrin Krieger Otto-von-Guericke-Universität Magdeburg, Germany PhD supervisor: Prof. Dr. Dietmar Rösner Semantic Fingerprints A semantic ﬁngerprint is a graph which describes the concepts and their relations of the corresponding resource. This ﬁngerprint can then be used to compute the semantic relatedness of resources, which enables us to decide if a resource is relevant for a learning context. With this information we can decide, whether the resource is indeed useful as learning material in this particular learning context or not. interactivity type LOM learning resource type semantic density description title 1687 down vote accepted Im going to order this guide b Absolute Beginner Firstly haskell is capable of However there are some problem Firstly a good guide to learni A good list of problems to try Once you have done a few of th Beginner After that you should have a f Working through the problems i After a while you will get to Also it takes a while for the To make sure that you are unde Intermediate Once you understand Monads I t Now you can finish the real wo With the knowledge you would h Parsec for parsing program Quickcheck A very cool tes HUnit Unit testing in hask gtk2hs The most popular gu happstack A web developmen Also there are many concepts l Applicative An interface l FoldableTraversable Typecl Monoid A Monoid is a type Arrows Arrows are a way of Arrays the various mutable ST Monad lets you write co FRP Functional Reactive Pr There are a lot of new languag Multiparameter type classe Type families Existentially quantified t Phantom types GADTS others A lot of haskell is based arou Finally you will want to learn ghc and all its features cabal the haskell package darcs a distributed versio haddock a haskell automati While learning all these new l Expert It will take you years to get Getting Help Finally while at any stage of the haskell irc channel the mailing lists These ar other places listed on the Conclusion Well this turned out longer th Adopting some of the educational categories of the Learning Object Metadata standard (LOM), we will extract and derive data about educational objectives such as interactivity type, learning resource type, semantic density, etc. To obtain this kind of data we will analyze the Web resource itself as well as the corresponding semantic ﬁngerprint. Linked Learning Items We create Linked Learning Items (LLI) and make them available as Linked Data. The LLIs contain data from the Web resource, its corresponding semantic ﬁngerprint, and the gathered educational metadata. These data packages can then be integrated directly in Web-based learning management systems (LMS) and oﬀer learners the opportunity to access this learning material right from within the recent learning context.


Facilitating Author Agency in Open Access Negotiations This flowchart helps UU researchers to implement their publication strategy in an Utrecht context. How can I negotiate in my role as an… author reviewer, editor, … copyright/ licensing costs policies Interactive tool used to collect and share best practices and negotiation strategies, with additional resources. CC-BY Jeroen Sondervan why what when how where as my goal is to… we intend to publish these… at these moments … while trying to… using these platforms/venues … Interactive tool to help researchers determine their publication strategy. CC-0 Jeroen Bosman Hanna de Vries h.devries1@uu.nl https://orcid.org/0000-0001-8454-7596 Jeroen Sondervan jeroen.sondervan@nwo.nl https://orcid.org/0000-0002-9866-0239 At Utrecht University we strive for 100% Open Access, which works best when researchers are actively involved in the process from the start. Libraries and consortia often stand between researchers and publishers as intermediaries; could we stand behind our authors instead? What would that look like in terms of library services and support? Try out the various tools we have been using at Utrecht University and come talk to us about facilitating author agency in Open Access publishing strategies and negotiations. publication strategy negotiating strategy costs licensing ownership incentives policies goals output types time- lines additional Open Science practices venues


Mass function and chemical abundances of the three distinct populations in the globular cluster NGC 6752 Roman Gerasimov 1 Adam Burgasser 1 Derek Homeier 2,3 Luigi R. Bedin 4 Michele Scalco 5,4 Jon Rees 6 Maurizio Salaris 7,8 Jay Anderson 9 1University of California San Diego 2Förderkreis Planetarium Göttingen 3Aperio Software Ltd. 4INAF -- Osservatorio Astronomico di Padova 5Università di Ferrara 6Lick Observatory 7Liverpool John Moores Uni. 8INAF -- Osservatorio Astronomico di Abruzzo 9Space Telescope Science Institute Photometric abundances Halo globular clusters are valuable tracers of the early history of chemical en- richment in the Milky Way due to their old ages [10] and comparatively uniform coeval stellar populations contained within. The latter allow constraints on the age and composition of a given cluster to be derived from its colour-magnitude diagram. The colours of ultracool dwarf (UCD) members of the cluster (including low Main Sequence stars and brown dwarfs) are expected to be most sensitive to element abundances due to molecular opacity and chemistry enabled by the low effective temperatures (Teﬀ) of such objects. Furthermore, brown dwarfs cool continuously throughout the lifetime of the cluster and, therefore, their magnitudes are directly related to the cluster age [4]. While no brown dwarfs in globular clusters have been detected so far, they are expected to be uncovered in large numbers in scheduled cycle 1 observations with the James Webb Space Telescope [2, 3]. In this study, we derive photometric constraints on the composition of the glob- ular cluster NGC 6752, known to host three distinct stellar sub-populations [11]. Theoretical isochrones were calculated from new grids of stellar evolutionary models and model atmospheres and iteratively fitted to existing Hubble Space Telescope (HST) observations (GO-15096, GO-15491; PI: Bedin). Our modelling setup is described in [5]. At Teﬀ> 4600 K, model atmospheres are calculated with the ATLAS 9 code [8, 9]. UCD model atmospheres are computed with PHOENIX 15 [6, 1, 7], including the Allard & Homeier cloud model. Evolu- tionary models are computed using MESA [13] with surface boundary conditions derived from our model atmospheres. Figure 1 summarizes the effect of enhancement of individual elements on the colour of UCDs in NGC 6752. We found the photometric effect of [Ca/M], [Co/M], [Cu/M], [Mn/M], [N/M], [Ni/M], [Si/M], [Ti/M] and [V/M] to be negli- gible within 3000 K < Teﬀ< 4500 K. The variation in colour shown in the figure is computed with respect to the approximate abundances of the red-most sub- population of NGC 6752 and does not include the effect of perturbed abun- dances on stellar evolution. Note that every enhancement shown in the figure displays a unique dependence on temperature and may therefore be inferred from the colour-magnitude diagram of the population. 3000 3300 3600 3900 4200 4500 Effective temperature [K] C O Al Mg Na M 0.1 mag blue red Figure 1: Sensitivity of HST/WFC3 mF110W −mF160W colours in the red-most sub-population of NGC 6752 to en- hancements of individual elements as well as the overall metallicity ([M/H]) as a function of effective temperature. Sensitivity is represented by the width of the cyan and pink bars and is defined as the difference in colour magni- tude as the enhancement is varied by 1 dex compared to the nominal abundance. Cyan/pink bars correspond to the case where the increased abundance offsets the colour blueward/redward. Isochrones 0.4 0.5 0.6 0.7 0.8 mF110W mF160W 15 16 17 18 19 20 21 22 mF160W 3300 3600 3750 3900 4200 Pop A [M/H] = 1.65 [Na/M] = 0.03 [Mg/M] = 0.51 [Al/M] = 0.65 [O/M] = 0.67 [C/M] = 0.2 Pop B [M/H] = 1.61 [Na/M] = 0.26 [Mg/M] = 0.49 [Al/M] = 1.1 [O/M] = 0.5 [C/M] = 0.3 Pop A Pop B Pop C [prelim] Teff [K] Observation 0.2 0.4 0.6 0.8 mF110W mF160W 16 18 20 22 24 26 28 mF160W Pop B M dwarfs L dwarfs T dwarfs Prelim Observation HBL Figure 2: Observed colour-magnitude diagram of NGC 6752 and b


Combination of regional modelling and in-situ data analysis for groundwater assessment in the Mediterranean region Nahed Ben-Salem1, Robert Reinecke2, Alexander Wachholz1, Michael Rode1, Dietrich Borchardt1 and Seifeddine Jomaa1 1. INTRODUCTION AND MOTIVATION 4. METHODOLOGY Models’ outputs will be compared against observations at countries and case studies scales (e.g., Spain, Greece, Crete Island, La Mancha aquifer). Set-up of G3M (v1.0) in the MED (at steady and transient condition). REFERENCE 1 Reinecke, R. et al. 2019. Challenges in developing a global gradient-based groundwater model (G3M v1.0) for the integration into a global hydrological model. Geosci. Model Dev. 12, 2401-2418. 2 de Graaf, I. et al. 2017. A global-scale two-layer transient groundwater model: Development and application to groundwater depletion. Adv. Water. Resour. 102, 53-67. 3 Fan, Y. et al. 2013. Global patterns of groundwater table depth. Science 339, 940-943. 8. FUTURE WORK 7. RESEARCH SIGNIFICANCE and SCIENTIFIC MERIT We argue that large-scale groundwater modelling is crucial tool to confront the challenges of climate change impacts on groundwater availability and to implement science-based adaptation and mitigation measures in the Mediterranean. Description of the selected models Time series from all Spain, Portugal and France as well as some wells in Greece and Tunisia were collected. 2. RESEARCH OBJECTIVE 5. EXPLANATORY VARIABLES 6. PRELIMINARY RESULTS ACKNOWLEDGEMENT: This study is supported by the Sustain-COAST R&I project co-funded under the PRIMA 2018 programme section II. For more information, please visit: https://www.sustain-coast.tuc.gr/en/home ABSTRACT #22  To advance our understanding of large-scale groundwater modeling, which in turn can be an important tool for an improved groundwater resources management by using modelling as means for predicting the effect of climate change and anthropogenic pressures on groundwater levels in data-scarce regions. (EOMAP)  This study aims to evaluate the performance of three global gradient-based groundwater models to represent the steady-state of groundwater levels in the Mediterranean region using ensemble-models (de Graaf et al., 2015, Reinecke et al., 2019 , Fan et al., 2013), Figure 4: Histograms of the three compared models. Figure 2: The MED grid with4 4..4444km km Figure 6: WTD (m b.g.l) Fan et al., 2013.  Three global gradient-based groundwater models are currently available and suitable for regional scale application (de Graaf et al., 2015; Fan et al., 2013; Reinecke et al., 2019). These models are introduced briefly below and Table 1, is presenting the main characteristics of each model (modified from Reinecke et al., 2020). Karstic map of the MED (Derived from the World Karst Aquifers Mapping project WHYMAP (WOKAM, Chen et al., 2017) shows that, 41% of the Mediterranean contains karstifiable rocks and Continuous Carbonate Rocks. Figure 3: Karstic map of the MED (Derived from the World Karst Aquifers Mapping project WHYMAP (WOKAM) (Chen et al., 2017)) The comparison between the three models has been done by aggregation to a rectangular grid that covers the Mediterranean region; with spatial resolution of 4.44 km. 1Helmholtz Centre for Environmental Research‐UFZ, Magdeburg, Germany (nahed.ben-salem@ufz.de, Alexander.wachholz@ufz.de, michael.rode@ufz.de, dietrich.borchardt@ufz.de, seifeddine.jomaa@ufz.de), International Center for Water Resources and Global Change (UNESCO), Koblenz, Germany (Reinecke@bafg.de) 3. MODELS’ DESCRIPTION Figure 1: GW wells distribution in Portugal, Spain, France and Italy. Portugal - 982 wells Spain - 3024 wells France - 4443 wells Italy - 808 wells WTD_Fan et al., 2013 WTD_G3M, 2019 Preliminary results showed that there is a big discrepancy between the three compared model outputs. More specifically, the de Graaf et al. (2017) model presents a deeper water table than Reinecke et al. (2019) and Fan et al. (2013). de Graaf et al. (2017) generally shows


92% 49% 37% 37% 33% 24% 18% 11% 5% Making Academic Medicine’s First Cut: Analysis of Reasons for Rejec8on a9er Internal Editor Review Holly S Meyer1, Steven J Durning1, David P Sklar2, Lauren A Maggio1 1. Uniformed Services University 2. Arizona State University Objec8ve: To inform scholars of common reasons for internal peer review rejecNons. DescripNve content analysis of editors’ internal peer review comments for manuscripts (n = 369) rejected prior to external peer review from the journal Academic Medicine (AM). Text diﬃcult to follow / understand BACKGROUND rejected during the internal editor review process RESULTS ABSTRACT DISCUSSION The volume of submission received by Academic Medicine can cause a burden on external reviewers (green shirts). To reduce the burden, an internal editor review was insNtuted in 2012. While this review was completed by an associate editor, it was not clear what the main reasons for rejecNon at this ﬁrst review. METHODS To characterize the internal ﬁrst review, content analysis of the associate editors free-text comments from 369 manuscripts was completed. Internal Editor Review Inadequate or incomplete introducNon Issues with scienNﬁc conduct SubopNmal data collecNon process Weak discussion and/or conclusions Weak data analysis and/or presentaNon Publishing consideraNons IneﬀecNve study quesNon and/or design Unimportant topic to the journal’s mission ? 65% Author Contact: holly.meyer.ctr@usuhs.edu Authors’ TwiRer Handles: Holly Meyer @hollysmeyer and Lauren Maggio @laurenmaggio References: 1. Bordage G. Reasons reviewers reject and accept manuscripts: The strengths and weaknesses in medical educaNon reports. Acad Med. 2001;76:889–896. 2. Durning JS and Caroline J. Review Criteria for Research Manuscripts. 2nd ed. Washington, DC: AssociaNon of American Medical Colleges; 2015. hhps:// members.aamc.org/eweb/upload/Review%20Criteria%20For%20Research%20Manuscripts.pdf. Accessed May 13, 2017. Disclaimer: The views expressed in this arNcle are those of the authors and do not necessarily reﬂect the oﬃcial policy of the Uniformed Services University of the Health Sciences, Department of Defense, or U.S. Government. Acknowledgement: A special thanks to Eric G. Meyer for his help with the conveyer built visual. In addiNon to the use of constant comparison, the authors (LM & HM) employed Bordage’s “Top 20 Reasons Reviewers Recommend RejecNon”1 as sensiNzing concepts to structure the coding. TIP FOR AUTHORS VALUE OF COMMUNICATION BETWEEN AUTHORS AND EDITORS Check out the AAMC’s Review Criteria for Research Manuscripts2. Find it here: hhps://Nnyurl.com/reviewcriteria Manuscripts must move the current literature forward; Research quesNon sets the stage for the study design; Study is informed by, and subsequently informs, the literature; TAKE HOME MESSAGES Results: Comments were analyzed for explicit ‘reasons for rejecNon’. Nine categories emerged. The top ﬁve are, [1] ineﬀecNve study quesNon and/or design (n=338, 92%), [2] subopNmal data collecNon process (n=180, 49%), [3] weak discussion (n=165, 45%), [4] unimportant or irrelevant topic (n=137, 37%), and [5] weak data analysis and/or presentaNon of results (120, 33%). Conclusions: Clear idenNﬁcaNon of a research quesNon, a strong methodology, and a topic aligned with the journal’s mission are key to avoiding a ‘desk’ rejecNon. Enhanced communicaNon improves the quality of manuscript submissions; Clarify the ambiguity surrounding editor rejecNons; Eases the burden on peer reviewers. Increase the likelihood of moving to external peer review; This study is being published in Academic Medicine. Use the QR code for access to the arNcle


THE EVENT On 22nd September 2017, a high energy neutrino was detected by the IceCube observatory in spatial coincidence with the blazar TXS 0506+056, which was observed to be ﬂaring in the GeV band by the Fermi-LAT telescope. The increased activity in the high energy band and the relation to the neutrino event triggered multi- wavelength observations. On the 4th of October, MAGIC reported the detection of VHE gamma rays from TXS 0506+056 sky position. MAGIC observations of VHE gamma rays from the ﬂaring blazar TXS 0506+056 coincident with high- energy neutrino IceCube-170922A THE MODEL Here we present the results obtained from the observations performed on the blazar with the MAGIC telescopes, the multi-wavelength data collected during the ﬂaring event and the modelling of the emission of the source using the so-called spine-layer scenario. We assume that the jet is structured, with an internal faster core (or spine) and a slower layer. Photons from the layer are ampliﬁed in the spine frame and are used by relativistic protons for photo meson reaction. W. Bhattacharyya1, C. Righi7,E. Bernardini1,2, M. Cerruti9, V. Fallah Ramazani8, L. Foﬀano2,4, S. Inoue6, E. Prandini2,4, K. Satalecka1, F. Tavecchio7 for the MAGIC Collaboration RESULTS • The model allows us to nicely reproduce the EM SED and the neutrino ﬂux. In particular we can keep the proton power to a moderate value (1045-1046 erg s-1). • We ﬁnd that gamma-gamma absorption start do be important close to the MAGIC band, consistently with the measured soft spectrum. • Gamma-rays are dominated by leptonic processes (lnverse Compton emission from electrons in the spine) • Radiation from absorbed and reprocessed hadronic gamma-rays can provide a non negligible contribute in the X-ray band. • Physical conditions in the jet are consistent with a maximum (comoving) protons energy of 1016 eV MAGIC is a system of two 17m Imaging Atmospheric Cherenkov Telescopes (IACTs) designed for the detection of very high energy (VHE) gamma-rays and situated in the Roque de los Muchachos Observatory, Canary Islands, La Palma. 1DESY Zeuthen, 2University of Padova, 3University of Udine, 4INFN Padova, 5INFN Trieste, 6RIKEN, 7INAF, 8 Tuorla Observatory, 9Institut de Ciències del Cosmos - Universitat de Barcelona References: [1] Ghisellini, G., Tavecchio, F., & Chiaberge, M. 2005, A&A, 432, 401 [2] Tavecchio, F., Ghisellini, G., & Guetta, D. 2014, ApJ, 793, L18 [3] Ansoldi S., et al., (The MAGIC Coll.) 2018, ApJ, 863, L10 Parameters used for the model Maximum p energy Ep = 1016 eV electron magnetic ﬁeld total jet power = PB+Pe+Pp =1046erg s-1 }


Halizah Mat Riﬁn, Wan Shakira Rodzlan Hasani , Tania Gayle Robert Lourdes, Nur Liana Abd Majid, Jane Ling Miaw Yn, Thamil Arasu Saminathan, Hasimah Ismail, Mohd Ruhaizie Riyadzi, Muhammad Fadhli bin Mohd Yusoﬀ. NMRR-18-3085-44207 P-31 Hypercholesterolemia is one of the major risk factors for coronary heart disease[1]. Overall, raised cholesterol is estimated to cause 2.6 million deaths and 29.7 million disability adjusted life years (DALYS)[2]. As the result, knowing the cholesterol level status, treatment and control have received a great deal of surveillance. • The ﬁndings showed that the prevalence of hypercholesterolemia escalated from 35.1% in 2011 to 47.7% in 2015 but decreased to 38.1% in 2019. This was lower compared to study in Philippine in 2011 (46.9%)[3] and higher compared to study in Korea in 2016(19.9%)[4]. • Meanwhile, there is an increase in the prevalence of known hypercholesterolaemia from 8.4% in 2011 to 13.5% in 2019. The ﬁnding was lower compared to a study in Korea (47.4%) in 2012 and 58.4% in 2016[4]. • The proportion those reported on medications among those who were aware that they had hypercholesterolaemia increased from 64.2% in 2011 to 80.1% in 2019. It was higher than a study in Korea (37.3%) in 2012 and 49.1% in 2016[4]. • The proportion whose hypercholesterolemia was controlled among those who were on medications increased slightly from 59.6% in 2011 to 62.6% in 2019. This ﬁnding was higher compared to Korea (29.7%) in 2010 and lower (84.3%) in 2016[4]. The objective of this study was to examine the trends in hypercholesterolaemia prevalence, known hypercholesterolaemia, treatment and control among adults in Malaysia • Data from the three cycles (2011,2015,2019) of the NHMS were used. • The NHMS is a cross-sectional community-based survey which employed a two-stage stratiﬁed cluster random sampling design to ensure national representativeness. • Respondents aged 18 years and above were asked via face-to-face interview to respond to the hypercholesterolemia module. • Hypercholesterolaemia was deﬁned as a total cholesterol equal to or more than 5.2 mmol/L. • For respondents with hypercholesterolemia, awareness was deﬁned as ‘Yes’ if they had been informed previously by medical personnel that they had high cholesterol. • Treatment for hypercholesterolemia was deﬁned as ‘Yes’ if they were currently receiving medication from a doctor in the past 2 weeks for high cholesterol. • Controlled hypercholesterolemia was deﬁned as having a desirable blood cholesterol level at the time of the survey among respondents who were on treatment • Complex sampling design analysis was used to account for sampling weights and study design properties. There is a promising trend in hypercholesterolemia prevalence, treatment and known hypercholesterolaemia from 2011 through 2019. However, hypercholesterolemia control remains poor. The government and health authorities must intensify disease control intervention to achieve the desired cholesterol levels. Keywords: Trends, hypercholesterolaemia, known hypercholesterolaemia, treatment, control, NHMS 2019 . CONCLUSION Trends in Hypercholesterolemia, Trends in Hypercholesterolemia, INTRODUCTION OBJECTIVE METHODS RESULTS & DISCUSSION 4 Treatment and Control among Adults in Malaysia Hypercholesterolaemia Table 1: Prevalence of Overall Hypercholesterolaemia for Respondent Aged 18 years and above for NHMS 2011, 2015 and 2019 Figure 1: Hypercholesterolaemia Trend in Malaysia Figure 2: Trends of treatment and control of hypercholesterolaemia in 2011, 2015 and 2019 Sociodemographic Total Gender Male Female Locality Urban Rural 2011 35.1%(33.9,36.2) 30.1%(28.7,31.6) 40.2%(38.7,41.7) 34.3%(32.9,35.7) 37.0%(35.1,39.0) 2015 47.7 %(46.5, 48.9) 43.5%(42.0, 45.1) 52.2%(50.7, 53.7) 47.7%(46.3,49.2) 47.7%(45.6,49.7) 2019 38.1%(36.2,40.0 ) 32.0(29.7,34.4) 44.5(42.2,46.8) 38.0 (35.7,40.4) 38.2 (35.5, 53.7 ) NHMS year 1. Ford ES, Li C, Pearson WS, Zhao G, Mokdad AH. Trends in hypercholesterolemi


D ire c tor: P rof. D r. Ma rc W olfra m R e s ea rch A re a : A uthors /C onta c t : D re s de n, Research Data Strategy "Anno Zero" From scratch, toward impacts Stefano Della Chiesa Research Data Management (RDM) is a cross- functional, multi-level, multidisciplinary endeavour among various actors. The key in RDM is to maximise the research data value chain, knowledge transfer and impact. The Leibniz IOER is developing a research data strategy, governance and stewardship program with a socio-technical approach, improving engagement, coordination and RDM procedures. 1. Strategy and Policy 1.1 Strategy development 1.2 Strategic goals 1.3 Commitment and incentives 1.4 RD policy 3. Management procedures 3.1 RDM into project planning 3.2 Integration into the Research Information System 3.3 Integration into the processes of law and ethics 2. Business Model 2.1 Governance and organisational development 2.2 Personnel investments 2.3 Technology investments 2.4 Cost model 4. Communication 4.1 Information 4.2 Counselling 4.3 Public relations 5. Training 5.1 Training materials 5.2 Training events 6. Active Data Management 6.1 Basic IT services 6.2 Services for collaborative working 7. Data Publication 7.1 Publication services 7.2 Archiving services 7.3 Risk management 8. Service Requirement 8.1 Failure safety 8.2 Data security 8.3 Metadata and indexing 8.4 Standards compliance and long term archiving services The proposed new scheme for the RISE-DE reference model1 for strategy processes in institutional research data management deals with 3 strategy pillars, 8 thematic areas and 25 topics (Adaptation of Figure 1 of the RISE-DE reference model). The Data Strategy encompasses the long-term strategy aligned with the organisation's mission. Data Governance focuses on aligning with high-level policies and procedures at the organisational level and developing the organisation's steering practices in terms of corporate and resources development. Data Stewardship focuses on operational services and best practices implementation. The RISE-DE reference model 1RISE-DE – Referenzmodell für Strategieprozesse im institutionellen Forschungsdatenmanagement. https://doi.org/10.5281/zenodo.3585556


ESO Extremely Large Telescope • MICADO Near Infrared Diffraction Limited Camera λ= 800nm – 2.5µm T≤100K R≤5000 • METIS (PI Institute) Mid Infrared Camera & Spectrograph λ= 2.8µm – 14µm T≤30K R≤100000 • MOSAIC Multi Object Spectrograph λ= 500nm – 1.7µm T=300K R≤10000 • EPICS Extreme AO Planet IFS & Spectro-Polarimeter λ= 500nm – 930nm T=300K R≤300 ESO Very Large Telescope 2003 MIDI 2 Telescope Interferometer Spectrometer 2003 λ=7µm – 14µm T≤40K R≤700 2004 VISIR Mid InfraRed Imager and Spectrograph 2004 λ= 7µm – 27µm T≤30K R≤25000 2004 SPIFFI 2k Spectroscopic Camera for SINFONI 2005 λ= 1µm – 2.5µm T≤100K R≤4000 2009 X-Shooter UV-VIS-IR Spectrograph 2009 λ= 300nm – 2.5µm T≤100K R≤10000 2014 Sphere-ZIMPOL Extreme Adaptive Optics Imaging Polarimeter 2014 λ= 570nm – 900nm T=300K >25 Filters 2017 MATISSE 4 telescope Interferometer Spectrometer 2015 λ= 2.8µm – 14µm T≤35K R≤6000 James Webb Space Telescope MIRI Mid InfraRed Instrument Spectrometer Main Optics λ=5µm-28µm T=6.8K VLT in 2030 Heritage ELT in 2030 GAIA Future VLT more surveys - less individual small projects. MAVIS (optical AO high resolution imaging – excellent complement to MICADO) Moderate resolution Cass UV spectrograph (CUBES / UVES upgrade) ERIS & MOONS BLUEMUSE MUSE-like AO-assisted IFU spectrograph operating up to K band micron FLAMES upgrade / replacement (complementary to 4MOST / MOONS). Wide field IFU - spectroscopic wide field survey (SDSS V but deeper, better and everything). - repeat observations for transients - slave spectroscopic-imager IFU to Athena's WFI (FoV 40’x40’). VLT prime focus camera for larger field of view / VLTI capabilities? new wide field multi-fibre spectroscopy faculity - high spectral resolution: R>40-60k - Complementary to 4MOST & WEAVE & GAIA - 130fibres over 30arcmin diameter (or more?) wide field MOS on a 10m telescope dedicated to surveys. - R=20k - galactic archaeology (GAIA), cosmology (Euclid). Transients (LSST). Wide field with massive MOS (4most on an 8m) careful tradeoff with VLTI Wide-field NIR imager (VISTA/VIRCAM detectors) complementary to Euclid in K band and better image quality than Euclid. - large-scale structure and galaxies at redshift ~1. - wide area survey, 100s of nights. Very wide-field VIS+IR imaging capabilities - >1 square degree area - find targets in the EoR redshift range via photo-z's. - Complementary to SKA deep fields, targets selection for follow-up and HI absorption measurements with SKA. All sky survey with MOS doing polarimetry Dedicated UT for Transiting Exoplanet Atmospheres - similar to having the HARPS instrument on a dedicated La Silla Telescope. - high resolution spectroscopy from Optical to IR, something like ESPRESSO+CRIRES+. - 50-to-100 nights/year Improved FORS – better calibrate instrumental systematics 2 UT’s working in parallel - both low and high resolution spectroscopy simultaneously IFU high-dispersion spectroscopy with high-contrast imaging at the VLT for exoplanet characterization (RISTRETTO) SPHERE upgrade: AO, coronagraphs, polarimetry, IFU Synoptic, time-domain astronomy, Follow-up BlackGEM & LSST - longer time-series spectroscopy/photometry - lower-resolution spectroscopic identification. - spectroscopic surveys - ToO overrides - Long term monitoring Support / enhance / capitalise on ESA's Large missions Athena & LISA JWST and Euclid follow-up HIPERCAM X-Shooter with VIS/NIR AO fast-and-dirty low res R=1000 spectroscopy Robotised VLT as a transient follow-up machine VLT in 2030 VLT in 2030 Synergy Exoplanet wishes and ideas Wide Field Trade off Ramon Navarro NOVA instrumentation Manager with input from NOVA community


DUBLAGEM EM SALA DE AULA EETI Bilíngue Professor Djalma da Cunha Batista Ensino fundamental II- 9º ano Alécio Vaneli Gaigher Marely - alecio.marely@seducam.pro.br Introdução-Línguas adicionais entrelaçam o nosso sujeito e auxiliam o desenvolvimento do indivíduo. Segundo Gadiolli (2013)”ajudar alunos a aprender a aprender e também a aprender a se emancipar, empoderar-se e se descobrir como agentes de mudança social”.A problemática é situada na questão onde os estudantes passam anos em uma escola tendo aula de língua inglesa e saem das escolas alegando pouco rendimento na língua adicional.A fala em língua inglesa é o desejo da maioria dos aprendizes como Al Hosni,2014 “Speaking is the active use of language to express meaning, and for young learners, the spoken language is the medium through which a new language is encountered”, ao pensar nesta questão vem a necessidade de devolver essa habilidade.Objetivos Instigar o uso da língua inglesa em sala de aula Propagar a fala de língua inglesa Promover o encontro de culturas através da música Registrar os momentos históricos-literários do período em que as músicas foram escritas e gravadas. Materiais e Métodos- A atividade proposta foi um, lipsync, ou seja,uma atividade de dublagem. Os alunos deveriam escolher dentre as músicas mais ouvidas de bandas consagradas no idioma de língua inglesa para poderem gravar uma dublagem. As bandas eram I)Rolling Stones II)Queen III)The Supremes IV)The Beatles.Os vídeos poderão ser visualizados por formato de qr codes como seguem: QR code: I e II - Vídeos


NHS – Implementation and Delivery DHSC -policy and funding UK health security agency- public health surveillance RCGP- guideline and best practice BSAC – research and advocacy WHO global coordination and leadership Antimicrobial stewardship: Promoting responsible use to Combat resistance: The UK’s initial 5-year AMR strategy (2013-2018) was followed by the 20-year AMR vision and the second National action plan 2019-2024 To prevent antibiotic resistance [02] ❖AMR is creating a new generation of "superbugs" that are untreatable by current drugs, generating financial, health, food, environmental, and socioeconomic problems. [05] ❖ AMR harms public health and modern medicine by making infection treatment difficult or impossible, increasing morbidity, mortality, and healthcare costs.[04] ❖This multi-sectoral strategy coordinates efforts to optimise antimicrobial usage, minimise antibiotic use, and increase infection prevention, surveillance, and innovative therapy development.[01] ❖The partnership uses a "One Health" strategy across sectors to fight AMR, understanding its complexity and establishing realistic goals.[06] ❖The partnership seeks to build confidence among varied stakeholders while preserving their organisational independence and duties [07] Disabling Factors ❖The partnership's high-profile position in AMR and public health concerns may raise attention and pressure, altering decision-making and operations [07] ❖Guiding. The alliance has strong governance systems, with global Leaders Group quadripartite organisations coordinating and the [06] Enabling Factors ❖Ideological alignment might restrict the range of techniques and viewpoints required to solve a complicated, multi-sectoral problem.[07] Recognise and Accept the Need for Partnership Given the agencies' various aims and operational frameworks, the collaboration recognises the need for a single strategy but struggles to get partner commitment. [01] Develop Clarity and Realism of Purpose The many AMR problems may lead to unrealistic expectations, therefore realistic and adaptive goals are needed to respond to continuing reviews.[01] Ensure Commitment and Ownership Despite conflicting objectives and financial restrictions, long- term commitment demands continual involvement and resource allocation to sustain momentum.[03] Develop and Maintain Trust is fragile and needs constant communication, dispute resolution, and shared success to survive.[01] Create Clear and Robust Partnership Arrangements Formal structures must be reviewed often to adapt to changing conditions and new problems.[01] Monitor, Measure, and Learning Effective assessments and responsive initiatives depend on accurate and timely data from all partners.[01] Through stakeholder coordination, the UK AMR Partnership combats antimicrobial resistance. Despite difficulties sustaining long-term commitment and realistic expectations, it shows good teamwork, defined goals, and comprehensive monitoring. AMR prevention requires continual participation and flexibility. Aim Reduce Misuse and Overuse: Promote antimicrobial stewardship in healthcare and agriculture. [08] Aim Surveillance and Research: Increase antimicrobial resistance monitoring and encourage innovative therapy and diagnostic research.[04] Aim Increase Public and Professional Knowledge: Raise public and healthcare professional knowledge of AMR to promote appropriate antimicrobial usage. [04]


RESEARCH IMPACT 2.0 ANALYSIS OF NEW TRENDS IN SCHOLARSHIP METRICS Daniela Solomon, Research Services Librarian Kelvin Smith Library, Case Western Reserve University INTRODUCTION Impact is defined as 'the demonstrable contribution that excellent research makes to society and the economy‘1. However, quantifying impact is a difficult task because there is uncertainty in how to define excellence in research, what aspects to take in consideration when evaluating a scholar, and how impact could be demonstrated. Impact metrics have become more important than ever and could affect hiring decisions, promotion and tenure, status among peers, university rankings and academic funding. First attempt at measuring impact was the number of citations based on the implication that what is cited must be good. Citation analysis applies to authors, papers, journals, and institutions. Citation analysis has many flaws and created many controversies (ie, using journal impact factor in evaluating scholars). As a result, citation analysis is deemed insufficient. Moving away from citation analysis is the developing trend altmetrics, which attempts to assess impact based on social web activity. As such, altmetrics constitute an improved answer to public’ expectations for speed, collaboration and openness, and allow the inclusion of new types of scholarship. However, it is argued that altmetrics measure the “reach” and not the quality, and that there is limited availability of data. Altmetrics complement bibliometrics, and the combination of citation analysis with altmetrics could offer an enhanced image of a scholars’ “impact.” MEASURING IMPACT ALTMETRICS CONCLUSIONS Three factors contribute to increased impact metrics: VISIBILITY “It’s not about where you publish, but who you reach.” Cameron Neylon CONSISTENCY “Researcher identification: the right needle in the haystack”12 AVAILABILITY “Not only are items difficult to find but, once found, they often disappear without notice”13 MAXIMIZE IMPACT • write to be discovered • retain copyright • publish in open access publications2-4 • publish works in digital repositories • use social media to disseminate information on your papers and research5-8 • post datasets on the Web9 • post other types of documents (images, illustrations, slides, specimens, etc) on the Web10 • claim incorrect citations to your papers11 • use an unique ID12 • collate scholarly profile • get permanent identifiers13-14 REFERENCES Presented at ALAO 2013 October 25, 2013 Image credits: altmetrics: a manifesto http://altmetrics.org/manifesto/ BIBLIOMETRICS 1. Research Counsils UK. Knowledge Exchange and Impact. Available from: http://www.rcuk.ac.uk/kei/Pages/home.aspx 2. Gargouri, Y., et al., Self-Selected or Mandated, Open Access Increases Citation Impact for Higher Quality Research. PLOS ONE, 2010. 5(10): e13636 doi:10.1371/journal.pone.0013636 3. Moed, H., Does open access publishing increase citation or download rates? Research Trends, 2012(28 - May 2012). Available from: http://www.researchtrends.com/issue28-may-2012/does-open-access-publishing-increase-citation-or-download-rates/ 4. Eysenbach, G., Citation Advantage of Open Access Articles. PLOS Biology, 2006. 4(5): e157. doi:10.1371/journal.pbio.0040157 5. Priem, J., Costello, KL., How and why scholars cite on Twitter., in American Society for Information Science & Technology Annual Meeting. 2010. Available from: https://docs.google.com/a/case.edu/presentation/d/15J41q9EzK3CiMMoIPKY545ACndORpa6Wtj75v1YjrzQ/edit#slide=id.i0 6. Groth, P., Gurney, T. Studying Scientific Discourse on the Web using Bibliometrics: A Chemistry Blogging Case Study. in Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC. Available from: http://journal.webscience.org/308/ 7. Thelwall, M., et al., Do Altmetrics Work? Twitter and Ten Other Social Web Services. PLOS ONE, 2013. 8(5): e64841 doi:10.1371/journal.pone.0064841 8. Allen, H.G., et al., Social Media R


تغييرات رنگيزه هاي فتوسنتزي و تركيبات فنلي و فﻼونوئيديLemna minor تحت تيمار كروم معصومه اصﻼن زاده ، عذرا صبورا :* ،گروه علوم گياهي، دانشكده علوم زيستي، دانشگاه الزهرا تهران- ونك- ايران مقدمه: فلزات سنگين بعنوان سمي ترين آﻻينده هاي محيط زيست شناخته شده اند كه در نتيجه فعاليت هاي مختلف انساني به آب هاي سطحي و زير زميني آزاد مي شوند. در مطالعات گوناگون توانايي گياهان جنسLemna در جذب فلزات سنگين بررسي شده است. در اين پژوهش براي بررسي تاثير آلودگي فلز سنگين وم كر ) Cr ( و قدرت گياه پاﻻيي عدسك ،آبي ) Lemna minor (، اين ماكروفيت آبزي به مدت روز ٧ در معرض غلظت هاي مختلف كروم شش ظرفيتي ) mg/L ٠٠١-٠ ( در محيط كشت هوگلند رقيق قرار گرفت. سنجش محتواي ،كلروفيل تركيبات فنلي و فﻼونوييدي تام عدسك آبي تحت تيمارmg/L ٠٠١- ٠٥ نشان دهنده ي آسيب پذيري گياه در اين غلظت ها بود. كد مقاله : bio3- 06930446 مواد و روش: يافته ها : •تغييرات ظاهري سطح برگ ،ها مانند ،كلروز جدا شدگي برگها از ،هم از روز سوم مشهود بود )شكل زير( و تا پايان دوره آزمايش ميزان كلروز در تيمارهاي ٠١، ٠٥ و ٠٠١ ميلي گرم در ليتركروم به نسبت ،شاهد به ترتي ب حدود ٠١%، ٠٥% ٠٨ و% افزايش يافت. • كاهش معني دار محتواي كروم باقيمانده در محيط كشت ٤٢ ساعت پس از تيمار به نحوي كه در پايان روز هفتم، غلظت كروم باقيمانده در محيط كشت به ويژه در تيمار ٠٥ ميلي گرم در ليتر كروم ٠٤ % كاهش يافته بود . با افزايش غلظت كروم در محيط كشت، محتوي كلروفيلa، b ، و كلروفيل كل و محتوي تركيبات فنلي و فﻼونوئيدي كاهش يافت. بحث و نتيجه گيري: در غلظت باﻻي فلز ،سنگين كاهش محتوي كلروفيل ها مي تواند به دليل تاثير بازدارنده فلز سن گين بر فعاليت آنزيم هاي مسير بيوسنتز كلروفيل و فعاليت كلروفيﻼز باشد. تركيبات فنلي و فﻼونوئيدي با پاكسازي راديكال - هاي آزاد قدرت آنتي اكسيداني گياهان را افزايش مي دهند. كارآيي گياه پاﻻيي اين گياه در حضور غلظت هاي پايين كروم چشمگير بوده اما غلظت هاي باﻻتر روم ك در بلند مدت منجر به مرگ سلول ها مي شد. Uysal نيز طي تحقيقات خود روي عدسك ،آبي در ٤٢ ساعت اوليه تيمار بيشترين ميزان جذب فلز سنگين كروم و سرب را مشاهده كرد. برخي منابع: 1.Beketov MA (2005) Species composition of stream insects of northeastern Altai: mayflies, caddisflies, and stoneflies (Ephemeroptera, Plecoptera, and Trichoptera). Euroasian Entomological Journal 4, 101–105. 2.Chandra, P., Kulshreshtha, K. (2004) Chromium Accumulation and Toxicity in Aquatic Vascular Plants. The Botanical Review 70(3): 313-327. 3.Choudhury S, Panda SK (2005) chromium stress in plants.Braz J. Plant Physiol., 17(1):95-102. 4.Frick, H. (1985) Micronutrient tolerance and accumulation in the duckweed, Lemna. Journal of Plant Nutrition, Vol.8,1985-Issue 12. شستشو با هيپوكلريت سدي م ١ % و انتقال به محيط كشت هوگلن د باpH 5.5 گياه عدسك از محيط زيست طبيعي، تاﻻب ،سراوان رشت جمع آوري شد اناليز داده ها بانرم افزار SPSS تيمارگياه ٠ با ،١ ، ٠١ ،٠٥ ،٠٠١ ميلي گرم در ليتركروم (K2Cr2O7) نمونه برداري از محيط كشت ٢١، ٤٢ ،٨٤ ، ٦٩،٢٧ ،٠٢١ و ٨٦١ ساعت پس از تيمار برداشت گياهان در روز هفتم و سنجش باقيمان ده كروم در محيط كشت با دستگاه ICP(OES) سنجش محتوي رنگيزه هاي فتوسنتزي و محتوي تركيبات فنلي تام