Decellularized extracellular matrix (ECM) hydrogels can be used to recapitulate the in vivo peri-islet niche. Creative Proteomics provides protein characterization services that can qualitatively and quantitively analyze the target protein and its post-translational modification. Characterization of Porcine Decellularized Tissues Protein Characterization Organ-on-a-chip platforms are cost-efficient testbeds for screening pharmaceutical agents, mimicking biological systems, and modeling human diseases. In the field of diabetes, the development of an islet-on-a- chip platform would have broad applications on understanding pathology and discovering potential therapies. Leveraging microphysiological systems for the long-term culture of primary pancreatic islets, however, has been limited by poor stability of these cells ex vivo, with the key factor being the disruption of islet-matrix interactions following isolation. The use of decellularized tissues integrates a diverse spectrum of biochemical and biophysical cues, adapted from natural biomaterials, for the encapsulated cells to be viable and functional. The composition of the ECM can be tailored by selecting the tissue source and the decellularization approach. In order to determine the protein composition of porcine decellularized tissues, protein characterization was performed. To characterize protein composition, decellularized tissue samples were analyzed using Dionex Ultimate 3000 Nano LC system coupled with an Orbitrap Q Exactive mass spectrometer. ASSAY OVERVIEW


Bayesian Regression on segmented data using Kernel Density Estimation Extending Bayes‘ theorem The challenge of having to deal with dependent variables in classification and regression using techniques based on Bayes' theorem is often avoided by assuming a strong independence between them, hence such techniques are said to be naïve. While analytical solutions supporting classification on arbitrary amounts of discrete and continuous random variables exist, practical solutions are scarce. However, not only can we extend Bayes’ theorem to any number of events, we may also use continuous random variables instead, or any combination of both. Random variables however require a conditional density, which, in practice, is not given. We can estimate that density, by first segmenting the dataset using conditions for discrete variables, or the empirical conditional distribution function. This allows us to practically solve a non- naïve version of Bayes’ theorem where we assume full conditionality between all variables. The full general form for classification is shown below: Centre for Data Intensive Sciences and Applications Data-driven Software and Information Quality Group Sebastian Hönel, Morgan Ericsson, Welf Löwe, Anna Wingkvist Data-driven Software and Information Quality Group – Centre for Data Intensive Sciences and Applications Linnaeus University, 351 95 Växjö, Sweden {sebastian.honel, morgan.ericsson, welf.lowe, anna.wingkvist}@lnu.se 𝑃𝐿= 𝑙𝑋1 = 𝑥1, … , 𝑋𝑛= 𝑥𝑛= 𝑝(𝐿=𝑙) ς𝑚=1 𝑛 𝑝(𝑋𝑚=𝑥𝑚|𝑋𝑚+1=𝑥𝑚+1,…,𝑋𝑛=𝑥𝑛,𝐿=𝑙) ς𝑚=1 𝑛 𝑝(𝑋𝑚=𝑥𝑚|𝑋𝑚+1=𝑥𝑚+1,…,𝑋𝑛=𝑥𝑛) , where each conditional p(𝑋𝑚= 𝑥𝑚| … ) is one of ൝𝑃𝑋𝑚= 𝑥𝑚𝑋𝑚+1 = 𝑥𝑚+1, … , 𝑋𝑛= 𝑥𝑛[, 𝐿= 𝑙]), 𝑖𝑓𝑋𝑚𝑖𝑠𝑑𝑖𝑠𝑐𝑟𝑒𝑡𝑒, 𝑃𝐷𝐹𝑋𝑚|𝑋𝑚+1=𝑥𝑚+1,… ,𝑋𝑛=𝑥𝑛[, 𝐿=𝑙] 𝑥𝑚, 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒. And, accordingly, ∀𝑋𝑚∈𝑋segmentation is done by ቊ𝑋𝑚= 𝑥𝑚, 𝑖𝑓𝑋𝑚𝑖𝑠𝑑𝑖𝑠𝑐𝑟𝑒𝑡𝑒, 𝑋𝑚≤𝑥𝑚, 𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒. If all variables are discrete, the general form yields a probability for L = 𝑙, a likelihood, otherwise. This is still useful, as we can simply determine the most likely label መ𝑙= 𝑎𝑟𝑔𝑚𝑎𝑥𝑃𝐿= 𝑙… ∀𝑙∈𝐿. This is called the maximum a posteriori estimation (MAPe). For each label, the strength of the class membership is also indicated. The general form can be simplified to become a Bayesian network, by waiving conditioning over the desired label. Then also, the evidence (denominator, normalizing constant) would become equal to the likelihood (numerator). If relinquished, the simple form looks as in the following equation: 𝑌′ = 𝑃𝑋1 = 𝑥1, … , 𝑋𝑛= 𝑥𝑛= ෑ 𝑚=1 𝑛 𝑝(𝑋𝑚= 𝑥𝑚|𝑋𝑚+1 = 𝑥𝑚+1, … , 𝑋𝑛= 𝑥𝑛) This simplified form still assumes dependence between all variables. Note that 𝑌′ holds all remaining values after segmenting. This allows us to perform a regression, by estimating a kernel density (KDE). Using that empirical PDF, similar to MAPe, a most-likely value can be obtained by finding the highest mode of the PDF, i.e., ො𝑦= 𝑎𝑟𝑔𝑚𝑎𝑥𝑃𝐷𝐹𝑌′ 𝑦, 𝑦∈𝑌′. The developed models allow for a few hyperparameters. We demonstrate the effect of each w.r.t. the current performance metric, i.e., Accuracy or 𝑅2 (the squared Pearson covariance). In order to be able to utilize the full general form, a label would be required. If our target variable were to be continuous, we can discretize it, and then find the most likely range. That range can be used to obtain a Y′ that also holds the most likely values for 𝑦. Using those remaining values, again, we can estimate a kernel density for regression. Predicting the mean would imply assuming a gaussian distribution. KDE, however, allows to estimate an arbitrary distribution from the remaining samples. While the simplified form does not require a label, it is required for the full form. Hence, such a regression is preceded by a classification. Acc. Impr. Kappa Runt.(s) Method Dataset 0.65 0.00 0.00 0.12 ZeroR breast (Class) 0.65 0.00 0.00 8.00 Simple 0.89 0.24 0.75 43.80 Full 0.38 0.00 0.00 0.12 ZeroR chick (Diet) 0.93 0.55 0.90 5.95 Simple 1.00 0.62 1.00 16.89 Full 0.70 0.00 0.00 0.12 ZeroR credit (Class) 0.69 -0.01 0.06 6.37 Simple 0.70 0.00 0.00


Institute of Mineral Engineering, RWTH Aachen mail: kieliba@ghi.rwth-aachen.de Ilona KIELIBA ESR Position 05 Thermal cyclic characteristic of alumina-spinel steel ladle brick Dr.-Ing. Thorsten TONNESEN, RWTH Aachen Prof. Marc HUGER, University of Limoges The study of the thermal cyclic characteristic of alumina-spinel steel ladle brick constitutes an initial part of the Ph.D. ATHOR project dedicated to monitoring of gradual fatigue to thermal cycling. Within the framework of this project alumina – spinel refractories, both brick and monolithic solutions will be characterized under thermal cycling conditions. Obtained results will contribute to a better understanding of the microstructural and thermomechanical degradation phenomena taking place in industrial processes and support modeling surveys by providing valuable data regarding damage kinetics. EXPERIMENTAL PROCEDURE: • Resonant frequency and damping measurements have been utilized for the continuous monitoring of microstructural changes taking place in alumina – spinel brick exposed to heating-cooling cycling. • Temperature dependence of the Young’s modulus has been shown to exhibit typical for refractories hysteresis shape. • As expected high temperature damping measurement has been proven to be more sensitive to microstructural alterations and therefore reveals some phenomena that are undetectable by Young’s modulus measurements. • Two step evolution of microstructural changes in the temperature range 1000 -1500°C should be further investigated, but it is very likely that complex alumina spinel solid- state reactions determine material behaviour at this heating and cooling stage. Supervisors & Industrial mentors Acknowledgments This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no.764987 Consortium of 15 European Partners Dr. Erwan GUÉGUEN, RHI MAGNESITA References: 1. Tonnesen, T. & Telle, R. Thermal shock damage in castables: microstructural changes and evaluation by a damping method. Ceramic Forum Int. 84, 1–5 (2007). 2. Tessier-Doyen, N., Glandus, J. C. & Huger, M. Untypical Young’s modulus evolution of model refractories at high temperature. J. Eur. Ceram. Soc. 26, 289–295 (2006). Alumina-spinel brick is being increasingly used in steel industry applications, especially in steel ladles mainly due to growing need of ultralow carbon metallurgy. Damage of refractories in secondary furnaces is induced by several factors like corrosion and abrasion but also thermal spalling and extensive thermal cracking, originated from prolonged thermal cycling, constitute a serious concern. For the design of the cyclically loaded material, knowledge of the elastic properties and their evolution with temperature and thermal history is a fundamental requirement. Continues monitoring of Young's modulus value and damping behaviour versus temperature provide a substantial information about the microstructural alterations taking place in the material exposed to thermal cycling conditions. Especially damping measurements, which have been proven to be very sensitive in detecting and following microstructural phenomena as: crack initiation and propagation1, stress relaxation, phase transition, diffusion and precipitation, should by increasingly implemented in the microstructural studies. Determination of damping temperature dependency can deliver information undetectable by other techniques, which will constitute an additional scientific basic for further development and microstructural material optimization. Young's modulus behaviour under thermal cycling conditions Prof. Rainer TELLE, RWTH Aachen In the literature2 typical hysteresis curve and stages observed during heating and cooling of the refractory material are described and explained as follow: • At intermediate temperatures because of CTE mismatches between the phases a crack closure and therefore, an increase in Young's modulus is observed. During cooling an


www.helmholtz-hzi.de P04: Chemical and biological diversity of secondary metabolites from basidiomycetes. Blondelle Matio Kemkuignou1, Khadija Hassan1, Kathrin Wittstein1, Clara Chepkirui1, Ashaimaa Y. Moussa2, Cony Decock3, Josphat C. Matasyoh4, Marco Kirchenwitz5, Theresia E. B. Stradal5, Monique Rascher-Albaghdadi6, Reinhard W. Köster6, Marc Stadler1,* 1Department of Microbial Drugs, HZI, Inhoffenstrasse 7, 38124 Braunschweig, Germany 2Department of Pharmacognosy, Faculty of Pharmacy, Ain Shams University, 11566 Cairo, Egypt 3Mycothéque de l’Université Catholique de Louvain (BCCM/MUCL), B-1348 Louvain-la-Neuve, Belgium 4Department of Chemistry, Egerton University, P.O. Box 536, Njoro 20115, Kenya 5Department of Cell Biology, HZI, Inhoffenstrasse 7, 38124 Braunschweig, Germany 6Department of Cellular and Molecular Neurobiology,TU Braunschweig, Spielmannstraße 7, 38106 Braunschweig, Germany New Amylosporanes A-G (1-7) isolated from Amylosporus sp. together with 8 previously reported compounds C H3 CH3 C H3 CH3 CH3 OH OH O H O H H 1 C H3 CH3 C H3 CH3 CH3 OH OH O H O 1 OH OH Cl O H N NH O O H OH OH H O OH OH H OH O H H OH H OH O OH 12 13 14 10 9 15 11 8 3 5 1 8 1'' 2'' 1' 2' 5' 4' OH OH 7 O H O 4'' 5'' 3 5 1 1'' 2'' O 8 1' 2' 5' 4' 7 O OH OH 5'' 4'' O H 3 4 6 1 1'' 2'' 5'' 4'' OH 8 7 O OH O 1' 2' 5´ 4´ O H 3 1 5 1´ 2´ 5´ 4´ O O 1´´ 2´´ OH 5´´ 4´´ 7 1 2 3 7 5 6 3 5 1 1'' 2'' 5'' 1' OH OH 8 7 4'' 2' 5' 7' 4' 10' 9' OH O (E) (E) (E) (E) 3 5 1 1'' 2'' 5'' 4'' 1' 2' 4' 5' H OH OH 8 1´ 7 3 6 5 O H O O O 1 2´ 4´ 5´ 3 2 4 5 O 6 OH 1 O 1´ 3´ 4´ 5´ 3 5 1 OH OH 7 O OH 8 1´ 2´ 5´ 4´ 7´ 10´ 9´ H (E) (Z) 3 5 1 1´´´ 2´´´ 5´´´ 7´´´ 10´´´ 9´´´ 1´´ 5´´ 4´´ O 1´ 5´ 4´ 7 O O H 8 OH 4´´´ 4 (E) Orsellinic acid-derived carbons 1H-1H COSY 1H-1H NOESY 1H-13C HMBC Structure Elucidation The structures of the compounds were determined using spectroscopic methods (HR-ESIMS, UV, IR, CD, 1D and 2D NMR) Introduction Natural products have played a key role in drug discovery, especially for cancer and infectious diseases. However, the rampant rise of antimicrobial resistance to known drugs is the biggest threat to public health worldwide, which necessitates the search for hitherto untapped sources of novel, effective drugs. Basidiomycota has been recognized as a prolific source of secondary metabolites, with prominent and selective biological activities even though it remains widely underexplored. In particular, not only African relatives of the traditional edible and medicinal Asian mushrooms such as Sanghuangporus and Laetiporus but also rare and endemic tropical species of genera that have never been studied before for bioactive constituents, such as Heimiomyces, have recently yielded interesting secondary metabolites. This study describes the evaluation of Amylosporus cf. campbelii and Amylosporus cf. graminicola that were isolated from specimens collected in Zimbabwe and Cuba, respectively, and from which no secondary metabolites have hitherto been reported. Extracts of the strains of the Amylosporus spp. showed moderate antibacterial effects in our screening for novel anti-infective metabolites along with a unique HPLC/ DAD-MS metabolite profile, and we selected these fungi for an evaluation of the active principles. [1] Additionally, the neurotrophic properties of triterpenes isolated from fruiting bodies of Laetiporus sulphureus [2] and a mycelial culture of Antrodia sp. MUCL 56049 was investigated. Several triterpenes potently stimulated the expression of neurotrophic factors, namely, NGF (sulphurenic acid, 15α-dehydroxytrametenolic acid, fomefficinic acid D, and 16α-hydroxyeburicoic acid) and bdnf (sulphurenic acid and 15α-dehydroxytrametenolic acid). The triterpenes also potentiated NGF-induced neurite outgrowth in PC-12 cells. This is, to the best of our knowledge, the first report on the compound class of lanostanes in direct relation to bdnf and ngf enhancement [3]. L. sulphureus Photo: Marc Stadler Laetiporus sulphureus Antrodia sp. MUCL 56049 Am


mMass as a Software Tool for the Annotation of Cyclic Peptide Tandem Mass Spectra Timo H. J. Niedermeyer1, Martin Strohalm2 1 Institute of Pharmacy, EMA-University, Friedrich-Ludwig-Jahn-Str. 17, 17489 Greifswald, Germany, and Cyano Biotech GmbH, Magnusstr. 11, 12489 Berlin, Germany 2 Institute of Microbiology, Academy of Sciences of the Czech Republic, v.v.i., Vídeňská 1083, 142 20 Prague, Czech Republic Introduction Natural or synthetic cyclic peptides often possess pronounced bioactivity. Their mass spectrometric characterization is difficult due to the predominant occurrence of non-proteinogenic monomers and the complex fragmentation patterns observed. Even though several software tools for cyclic peptide tandem mass spectra annotation have been published, these tools are still unable to annotate a majority of the signals observed in experimentally obtained mass spectra. They are thus not suitable for extensive mass spectrometric characterization of these compounds. The lack of an advanced and user-friendly software tool has motivated us to extend the fragmentation module of a freely available open-source software, mMass (http://www.mmass.org), to allow for cyclic peptide tandem mass spectra annotation and interpretation. The resulting software has been tested on several cyanobacterial and other naturally occurring peptides and has been found to be superior to other tools currently available concerning both usability and annotation extensiveness. Thus it is highly useful for accelerating the structure confirmation and elucidation of cyclic as well as linear peptides and depsipeptides. Main Features and Implemented Fragmentation Pathways • off-line tool with advanced spectrum manipulation and processing abilities (e.g. support for various data formats, baseline correction, peak picking etc.) • ability to save spectra, sequences and interpretation results for future use • monomer database and editor for easy monomer and sequence management • matching of calculated theoretically possible fragments to and annotation of experimental data • backbone fragmentation pathways after initial break-up to a b-like ion resulting in a-, b-, c-, x-, y-, and z-like fragment ions (Figure 1) • alternative initial a/x-like ring opening resulting in +CO fragment ions (Figure 2) • sequence scrambling • neutral losses of e.g. H2O and NH3 as well as custom side chain losses from individual monomers • multiple neutral losses from one fragment • formation of b+H2O fragment ions (Figure 3) Figure 1 Backbone fragmentation of a cyclic peptide taking Microcystin LF as an example. Figure 3 Proposed mechanism for the formation of observed b+H2O ions of Cryptophycin-1. Microcystin LF Cryptophycin-1 NRP-Annotation 23 32 mMass* 23 32 mMass** 95 80 Figure 1 Proposed pathway for the formation of an observed N-formyl fragment ion of microcystin LF after initial protonation of D-alanine. Figure 5 Tandem mass spectra of Microcystin LF (A) and cryptophycin-1 (B). Signals discussed are indicated with a star (filled star: not annotated by NRP-Annotation). Table 1 Percentage of the ion intensity annotated using NRP-Annotation or mMass. * options chosen reflecting the fragments NRP-Annotation can calculate ** all available options chosen Case Study I – Microcystin LF The fragmentation behavior of microcystins, cyclic heptapeptides found in several cyanobacterial genera, has been very well studied. Thus microcystin LF (Figure 4) has been used to examine the accuracy and comprehensiveness of our fragmentation algorithms and to compare the results to the software NRP-Annotation. The tandem mass spectrum of microcystin LF (Figure 5) shows several significant peaks that had not been assigned by NRP-annotation, but were annotated by mMass. • m/z 478.2644 annotated as c4[7|1][1-4] (Δ 3.3 ppm) • m/z 561.3017 annotated as c5[6|7][1-5] (Δ 2.5 ppm) • m/z 559.3127 annotated as z5[2|3][3-7] - C9H10O, at (Δ 0.2 ppm) • m/z 693.3816 annotated as z5[2|3][3-7] (Δ 3.1 ppm) * • m/z 852.4


PRESENCE OF SALMONELLA SPP. AND HEPATITIS E VIRUS IN ITALIAN PIG FARMS G. Ianiro1, E. Pavoni 2,G. Aprea3, R. Romantini3, G. Alborali2, D. D’Angelantonio3, G. Garofolo3, S. Scattolini3, L. De Sabato1, F. Ostanello4, I. Di Bartolo1. 1) Istituto Superiore di Sanità, Dept. Food Safety, Nutrition and Veterinary public Health, Rome Italy; 2) Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini", Brescia, Italy; 3) Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "Giuseppe Caporale", Teramo, Italy; 4) University of Bologna, Faculty of Veterinary Sciences, Ozzano dell’Emilia, Italy. • Salmonella spp. was detected in 14/47 (29.8%) farms, while HEV was detected in 16/47 (34.0%) farms. • The highest Salmonella spp. prevalence was in breeding farms (8/18 positive farms, mean individual prevalence 14.4% per farm), while for HEV was in fattening farms (9/22 farms positive, mean individual prevalence 53.9% per farm) by testing young animals aged 3-4 months. . This poster is part of the European Joint Programme One Health EJP. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 773830. RESULTS METHODS EU is the second worldwide producer of pig meat after China and the biggest exporter worldwide. Due to the importance of this production for both economy and public health, being pork widely consumed, its whole food chain is strictly monitored to guarantee highly safe food. Salmonella spp., is a main cause of foodborne outbreaks, while hepatitis E virus (HEV) is a recently recognized emerging zoonotic foodborne pathogen, whose role need to be still defined. Pigs are reservoirs of both. In the framework of the European Joint Programme “Biosecurity practices for pig farming across Europe (BIOPIGEE)”, the presence of Salmonella spp. and HEV in pig farms over EU countries was evaluated. In Italy, 47 pig farms were investigated, including 22 finishing, 18 breeding, and 7 farrow-to-finish farms, by collecting a total of 958 pooled fecal samples. CONCLUSION AND PERSPECTIVES In conclusion, the main source of contamination of pigs is represented by the farming stage, probably due to the environmental contamination. Subsequently the monitoring of pigs at farm and the implementation of biosecurity measures remains critical to reduce the risk of slaughtering infected animals. BREEDING Total tested Positive (%) Total tested Positive (%) HEV 5 (27,77%) 20 (5,37%) Salmonella 8 (44,44%) 23 (6,18%) FATTENING Total tested Positive (%) Total tested Positive (%) HEV 9 (40,90%) 97 (21,74%) Salmonella 6 (27,27%) 23 (5,15%) 22 446 Farms Fecal pool samples 18 372 Farms Fecal pool samples FARROW-TO-FINISH Total tested Positive (%) Total tested Positive (%) HEV 2 (28,57%) 17 (12,14%) Salmonella 0 (0,00%) 0 (0,00%) TOTAL Total tested Positive (%) Total tested Positive (%) HEV 16 (34,04%) 134 (13,98%) Salmonella 14 (29,78%) 46 (4,81%) Farms Fecal pool samples 47 Farms Fecal pool samples 7 958 140


The Social Media for Learning in Higher Education Conference 2019 Dawne Irving-Bell, Edge Hill University and Lauren S. Schlesselman, University of Connecticut Beginning as strangers selected for participation in an International Collaborative Writing Group (ICWG), where group members are geographically located thousands of miles apart this work serves to address the question “Can social media be utilised to effectively support international collaborative writing?” Adopting an approach informed by collaborative autoethnography, focused on their experiences this work illuminates the stories of two of the six participants as they sought to establish themselves and their position within the group. Illuminating the challenges encountered the purpose of this preliminary study is to support others who may be engaged in or considering undertaking work of a similar nature. As such this presentation will be of interest to any colleagues thinking about using social media as a means of communication when engaged in collaborative academic work where geographical locations prevent physical engagement. Telling our stories Using social media to bridge geographical boundaries • Cultural differences in expectations and approaches to work • Finding suitable dates, and especially a suitable time to meet virtually • Interpreting written communication (namely emails) to understand the nuances of what was actually being said • Collating everyone’s ideas, ensuring everyone had a voice and an equal stake in the conception of the paper • Don’t assume anything! Don’t be afraid to ask for clarification, and always double check everything • Start by identifying who is good at what, and we don’t just mean in relation to writing, so who is best placed to set up work areas or host and schedule online meetings • Take time to reflect your understanding of what has been said and then articulate it back to the group to ensure everyone is on the same page • Use multiple means of communication • Meet online as often as you can, always consolidating discussions with follow up messaging, emails and texts • Try to meet physically if you can and when you do start with a social activity and schedule as many social activities together as you can! What were our Success Our tips for differently? What would we do Challenges?


Star Formation in SpARCS J0330: Bridging the Gap Between Protoclusters and Clusters 1Imperial College London, Blackett Laboratory, Prince Consort Road, London, SW7 2AZ, UK ● 2ASU School of Earth and Space Exploration, 781 Terrace Mall, Tempe, AZ 85287, USA 3MIT Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA 4Departamento de Ciencias Físicas, Universidad Andres Bello, Fernandez Concha 700, Las Condes 7591538, Santiago, Región Metropolitana, Chile ● 5Department of Physics and Astronomy, University of California, Riverside, CA 92521 J. Cairns1, D. L. Clements1, A. Noble2, M. McDonald3, Y. Ding1, J. Nantais4, G. Wilson5 1. Background At z > 2, many studies have identified protoclusters - overdensities of galaxies spanning tens of Mpc in size and hosting some of the most vigorous star formation observed in the Universe to date. Conversely, galaxy clusters are typically observed at z < 1 and are massive, virialised and abundant in quiescent, elliptical galaxies. Current models of galaxy formation and evolution predict that protoclusters will evolve into z ~ 0 massive galaxy clusters (e.g. Cooke et al. 2015), and so there must be some rapid, environmentally-driven quenching of star formation at that transforms high-z, star-forming protoclusters into massive, quiescent galaxy clusters. However, the exact nature of this evolution remains poorly understood. In order to understand this evolution, we must search for overdensities of galaxies at the onset of cluster formation at which time we can observe the full web of activity: the assembly of a collapsed cluster core feeding on the star-forming filamentary material that resides in the protocluster web. z ∼1 4. SED Fitting 2. SpARCS J0330 We present observations of SpARCS J0330, one of the most massive, high-z galaxy clusters ever discovered (Lidman et al. 2012). SpARCS J0330 resides in the Chandra Deep Field South (CDFS) at a redshift of , with a dynamical mass of . We combine the photometry and spectroscopy compiled by Nantais et al. (2016) with our own observations, as well as ancillary data in the field, to build up Spectral Energy Distributions (SEDs) for the 40 spectroscopically confirmed cluster members, as well as potential cluster members, with up to 20-band photometry. We use the photometric fitting codes EAZY (Brammer et al. 2008) and CIGALE (Boquien et al. 2019) to estimate the properties of these sources and hence map out distant, star-forming galaxies over a region in the cluster. z = 1.626 ∼2.5 × 1014 M⊙ ∼15 Mpc 3. Sample Selection 1. Spec-z sample: Comprising the 40 spectroscopically confirmed cluster members. Available photometry includes u, g, r, i, z, y, J, H and K observations from IMACS, HAWK-I and HST, IRAC and MIPS photometry from Spitzer and PACS and SPIRE photometry from Herschel. 2. Photo-z sample: Sources with the same photometry as the spec-z sample but without a spectroscopically confirmed redshift. 3. Photo-z wide sample: Sources in the wider field from the Spitzer Data Fusion catalogue, including photometry from the HerMES, SWIRE, SERVS, VHS and VIDEO surveys, as well as CTIO MOSAIC2. 4. Field sample: We additionally assemble a field sample of sources from the Spitzer Data Fusion catalogue spread across the XMM-LSS field. We use the photometric fitting code EAZY to estimate photometric redshifts for the photo-z, photo-z wide and field samples, allowing us to select likely cluster candidates (see Figure 1). We then use CIGALE to estimate galaxy properties for all four samples. We use the sfhdelayedbq module to parameterise the star formation history according to: for with the option of an instantaneous recent variation in SFR. We include a Chabrier IMF with solar metallicity and a dust attenuation curve based on that of Calzetti et al. (2000). We use the nebular emission module and the Casey2012 dust module which models the FIR dust peak as a simple modified blackb


for Julia Priess-Buchheit, Joeri K. Tijdink, Katharina Miller, Sean Lacey, Peter Eduard, Marie Alavi (and more from NERQ_OS Group)Julia Priess-Buchheit, Joeri K. Tijdink, Katharina Miller, Sean Lacey, Peter Eduard, Marie Alavi (and more from NERQ_OS Group) OS enables transparancy, accessibility, collaboration, knowledge circulation & valorisation and innovation. Higher education lacks tailored OS training resources for various stakeholders of the scientific community. Recognising that while openness is vital, only high-quality research output with legally and ethically justified openness is reliable and reasonable. We reviewed literature, activated representatives for the OS learner groups and screened the OS training resources from the groups 1, 4 and 7. We extracted RI and RE principles provided in these training resources. We statuated umbrella concepts of OS training resources: We create OS target groups Educational Goals RESEARCHER POLICY MAKER OS EDUCATOR As open as possible - as closed as necessary FAIR data & other outputs As open as possible - as closed a s necessary Data protection & Intellectual property Open research: Data, Access, Code, OER, Source etc. Monitoring & Evaluation Reproducibility (data/ methodology etc. sharing) Reproducibility Open science & inclusiv e infrastructures Proceeding data collection Help us to create an intersection of of high-quality and reliable OS training using our questionnaire: your training resources on principles recommended by the research community using our questionnaire. gaps or needs for further training and your resources. Get your training resources if you meet at least 80% of the recommended principles. your training resources to the Open Science Learning Gate. the intersection for your training of specific stakeholders. reach out: buchheit@paedagogik.uni-kiel.de alavi@zke-kiel.de NERQ's intersection of OS training resources targeting specific learning groups promoting principles inevitable for current research Principles RESEARCHER POLICY MAKER OS EDUCATOR Accountability Awareness Accountability (Self-)Awareness Collaboration, Community building, Hollistic engagement Awareness Honesty, Equity & Fairness Honesty, Diversity & Inclusiveness Quality & Integrity Ethics Openness Reliability Incentives, Recognition, Encouragement Reliability (tools, infrastructures, actors) Respect Data confidentiality Respect Responsibility Explainability Responsibility Transparency Traceability Proceeding data collection (see QR-code) Accessibility Bias-free speech, data and outcomes Fairness Harm- monitoring Guardrails to ensure scientific values Data confidentiality, quality Privacy, Data & IP protection Safety Transparency Value-based algorithmi c decision-making Proceeding data collection (see QR-code)a Collection of important OS training principles Assesment and hig h quali ty badging OPEN SCIENCE Learning Gate tailored capacity building for OS training Open Science Learning Gate Data Research Infrastructure Support Professional RESEARCH INTEGRITY RESEARCH ETHICS ETHICS of AI operating with OS NERQ’S OS Principles in the OPEN SCIENCE LEARNING GATE OS Educator/ Trainer 7 8 Join us in the OPEN SCIENCE LEARNING GATE Policy Maker Data Curator Data Steward/ Data Librarian/ Figure: Adapted from EOSC’s definition of Actors in the EOSC Ecosystem (1) 4 5 6 Authors: Julia Priess-Buchheit, Marie Alavi With contribution of: Joeri K. Tijdink, Katharina Miller, Ruth Moran, Varga Orsolya, Maruxa Martinez, Ulf Tölch, Sean Lacey , Peter Eduard, Anita Lunić (and more from NERQ_OS Group)With contribution of: Joeri K. Tijdink, Katharina Miller, Ruth Moran, Varga Orsolya, Maruxa Martinez, Ulf Tölch, Sean Lacey, Peter Eduard, Anita Lunić (and more from NERQ_OS Group) Lack of tailored OPEN SCIENCE training for different stakeholders OPEN SCIENCE Learning Gate as tailored & high-quality intersection The Problem 1 Researcher University Student Citizen Research Soft- ware Engineer Data Scientist/ Analyst En


I Repositories e il caso di “BASE” (Bielefeld Academic Search Engine) Lepri Francesco Antonio, Lupparelli Luca, Pazzagli Francesca, Romeo Lorenzo Studenti dell'insegnamento di Documentazione (A.A. 2020/21), Dipartimento di Lettere-Lingue, Letterature e Civiltà antiche e moderne, Università degli Studi di Perugia Una introduzione all’Open Access: La “Via d’Oro” e la “Via Verde” Che cos’è un Repository e a che cosa serve? Quali tipologie di Repositories ci sono? Quali contenuti possiamo trovare in un Repository? Il caso di “BASE” (Bielefeld Academic Search Engine): Bibliografia: - Abadal Ernest, Open Access. L’Accesso Aperto alla letteratura scientifica, Milano, Ledizioni, 2014, consultabile gratuitamente e liberamente all’URL: http://www.ledizioni.it/stag/wp-content/uploads/2016/03/Open-Access_def.pdf - Sito di BASE consultabile all’URL: https://www.base-search.net/ - Sito di OpenDOAR consultabile all’URL: https://v2.sherpa.ac.uk/opendoar/ - Sito di Wikipedia consultabile all’URL: https://it.wikipedia.org/wiki/Pagina_principale - Le immagini sono ad uso gratuito e libero secondo gli standard Creative Commons (CC) e sono state scaricate dal sito: https://search.creativecommons.org/ This presentation poster was designed byFPPT. Aspetti tecnici e “harvesting” : Open Access, Repository, Via Verde, Harvesting, BASE (Bielefeld Academic Search Engine) Nell’ambito della comunicazione scientifica, l’insieme delle dinamiche utilizzate dai ricercatori affinché i risultati delle loro ricerche trovino diffusione, si inserisce l’accesso aperto. La letteratura ad accesso aperto si contraddistingue per due capisaldi: la gratuità dei suoi contenuti e la loro libertà da ogni restrizione di diritti di licenza. L’obiettivo primario è quello di liberare la ricerca scientifica da tutti i lacci, sia economici che legali, che ne possano ostacolare la diffusione dal momento che un contenuto in accesso aperto può non solo essere consultato gratuitamente da un utente ma anche scaricato, copiato, stampato o distribuito. In tale contesto lo sviluppo e la diffusione di internet hanno assunto un ruolo chiave: senza la possibilità di digitalizzare i contenuti e di diffonderli in maniera immediata non sarebbe stato possibile favorire un accesso libero e gratuito alla scienza. Una tappa fondamentale per la nascita del movimento dell’accesso aperto è stata segnata dalla Dichiarazione di Budapest del 14 febbraio 2002, partorita da una conferenza organizzata a Budapest nel dicembre 2001 dall’Open Society Institute. La Dichiarazione oltre a contenere una prima definizione di accesso aperto individua due strategie da seguire per raggiungerlo: ●La pubblicazione di riviste ad accesso aperto, strategia che si riferisce all’opzione in cui gli autori pubblicano i propri articoli direttamente in riviste ad accesso aperto e che prende il nome di “via d’oro”. ●L’archiviazione in repositories, strategia che prevede per gli autori il deposito delle proprie pubblicazioni (preprints o postprints) in repositories ad accesso aperto e che prende il nome di “via verde”. Proprio dei repositories ci occuperemo più nel dettaglio in questo poster. Il logo dell’Open Access. Fonte: CC Search. Un repository è un sito web che raccoglie, conserva e diffonde la produzione accademica di un’istituzione, permettendo l’accesso agli oggetti digitali che contiene e ai suoi metadati. I repositories: ●Contengono pubblicazioni derivate dalla ricerca: articoli di riviste, relazioni sulla ricerca, congressi, tesi di dottorato. In molti di essi si possono trovare informazioni accademiche di portata più ampia come: materiale didattico e attività istituzionali. ●Di solito contengono i testi completi di questi documenti, la disponibilità del testo completo è un elemento basilare per permettere gli obbiettivi dell’Open Access. Tuttavia, a volte possono anche contenere solo alcuni capitoli o sezioni di un documento. ●Autorizzano l’accesso ai metadati, di modo che i riferimenti bibliografici di ogni documento


Design, Implementation and Iteration of a Digital Preservation Processing Workflow Eamon Smallwood (eamon.smallwood@kaust.edu.sa), Marcelo Garcia (marcelo.garcia@kaust.edu.sa) University Library, King Abdullah University of Science and Technology (KAUST) https://library.kaust.edu.sa/ Iteration 1 Iteration 2 Iteration 3 Design Workflows describe, justify, and plan for the implementation of a sustainable, long-term digital preservation service at KAUST University Library Each workflow was designed with a specific audience in mind: Iteration 1: University Library Management and University IT Iteration 2: University Library Preservation and Digital Services Team Iteration 3: University Library Systems Team Designed in accordance with international standards and best practice for digital preservation(OAIS ISO 14721) Designs evolved due to: Assessment of existing storage solutions at KAUST Procurement of dedicated digital preservation technology and services Automation of workflow processes Implementation In 2020, the University Library began implementing the preservation processing workflow(Iteration 1) to bring our digital preservation capabilities in line with international standards and best practice Assessments revealed that the existing storage infrastructure was not well suited for long- term preservation In 2021, the University Library procured two key components of the preservation processing workflow: Dedicated digital preservation service – Preservica Dedicated digital preservation workstation – FRED (Forensic Recovery Evidence Device) Processed all University Library Archives digital collections into Preservica via FRED(Iteration 3) in December 2021 In 2022, the University Library began automating the preservation workflow processes(Python), available on Github - https://github.com/kaust-library/ArchiveAutomation/ ClamAV Archivera to Bagger integration DROID JHOVE Iteration Iteration 1: Making the case for a dedicated digital preservation service • High level • Designed to justify investment in a digital preservation service to Library Management and University IT • Minimal detail • Workflow components based on existing KAUST IT Infrastructure Iteration 2: Comprehensive preservation processing workflow • Internal documentation • Represents the end to end preservation workflow process, from appraisal to long-term preservation • Pre-Preservica implementation Iteration 3: Preservation ingest workflow • Internal documentation • Maps the first series of steps in the long-term preservation process • Working documentation for digital preservation processing procedures • Ideal workflow for identifying workflow process appropriate for automation Future Work Continued automation of the preservation workflow Identify and assess redundant processes in the preservation workflow


SEGMENTATION OF CLOUD PATTERNS FROM SATELLITE IMAGES TO IMPROVE CLIMATE MODELS Kirill Vishnyakov† and Mukharbek Organokov‡ †Peter the Great St.Petersburg Polytechnic University, ‡Universit´e de Strasbourg kirill.a.vishnyakov@gmail.com, mukharbek.organokov@gmail.com Introduction Climate change has been at the top of our minds and at the forefront of important political decision-making for many years [1]. Classiﬁcation of different types of clouds is substantial for understanding climate change. Human ability to identify patterns is limited and murky boundaries between different forms of clouds lead to obstacles in traditional rule-based al- gorithms cloud features separation [1]. In these situations, machine learning techniques, particularly deep learning, have demonstrated their ability to mimic the human capacity for identifying patterns in the clouds using satellite images [2]. This work focuses on seg- mentation of four subjective patterns of clouds organization [2] (see Fig. 1): Sugar, Flower, Fish, Gravel. (a) Sugar (b) Flower (c) Fish (d) Gravel Figure 1: Canonical examples of the four cloud organization patterns. Method Dataset The dataset used in the analysis is released on the Kaggle platform [1]. The images with three regions, spanning 21 degrees longitude and 14 degrees latitude, were taken from NASA Worldview [3]. The labels were created on a crowd-sourcing platform [4]. On cloud labeling days at two institutes, 68 scientists screened satellite images, identiﬁed areas of cloud patterns in each image, and each image was labeled by approximately 3 different sci- entists [1]. Ground truth was determined by the union of the areas marked by all labelers for that image, after removing any black band area from the areas [1]. The ground-truth masks presented in the dataset are quite noisy meaning they include a lot of areas that ac- tually do not contain clouds at all. Also, the masks of different classes can overlap. These two facts signiﬁcantly increase problem complexity. The resolution of original images is 1400×2100, in our experiments we use downscaled images, namely we work with three different image resolutions: 352×512, 512×768, 768×1152. Example of images containing different number of clouds patterns is shown in Fig. 2. Figure 2: Images of clouds with corresponding masks. Metric The mean Dice coefﬁcient (DC) [5] is chosen as the metric to measure the performance of the model by pixel-wise comparison of the predicted segmentation (Ypred) output and the corresponding ground truth (Ygt). If Ypred = ∅and Ygt = ∅, then DC = 1; otherwise, it is deﬁned as: 2|Ypred ∩Ygt| |Ypred| + |Ygt| (1) The objective of this research is to develop a DL model that ensures higher accuracy. Thus, the goal is to maximize the model on the mean DC so that a perfect model achieves an accuracy of 1. Architecture and Implementation This problem was treated as a semantic segmentation task with four different classes. During the past years numerous architectures (see Fig. 3) have been developed to tackle the problem of semantic segmentation including the most famous U-Net [6], LinkNet [7], FPN [8], PAN [9]. In this work, we used U-Net architecture. Figure 3: Simpliﬁed schematic view of the architecture. We developed a two-stage (S1 and S2) semantic segmentation pipeline [10] (see Fig. 4) that accepts images with corresponding ground-truth masks and outputs raw (non- normalized) predictions for each of four classes. Then during the post-processing proce- dure predictions are normalized with sigmoid function to eliminate masks of insufﬁcient size. Thus, ﬁnal processed predictions were generated. Figure 4: Pipeline. Experiments Our main experiments with data included training on two stages with different image res- olutions and different set of pseudo-labels (PLs). Recently, a semi-supervised approach became popular and provided improvements in training procedure. We used approach similar to [11] in which authors ﬁrst trained an EfﬁcientNet model


Vigneshwari Subramanian1,a, Bence Szalai1, Luis Tobalina1, Julio Saez-Rodriguez1,2,b Application of network diffusion approaches to drug screenings: A perspective on multilayered networks derived from drugs and cell lines References PrECISE is supported (in part) by the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number 15.0324-2. The opinions expressed and arguments employed therein do not necessarily reﬂect the ofﬁcial views of the Swiss Government. The PrECISE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 668858. Funding www.saezlab.org @sysbiomed • RWR-MH can be used effectively to identify the most relevant genes associated with drug response • RWR-MH offers the possibility to predict patient-speciﬁc drug responses based on patient-cell line networks Conclusions / Perspectives PrECISE (Personalized Engine for Cancer Integrative Study and Evaluation) is a European H2020 project focused on prostate cancer, an international collaboration that aims to translate into clinical advances many of the technical and methodological developments achieved during the last years. • Identify the genes related to drug response by applying RWR-MH to a multilayered network that incorporates protein-protein interactions, drug-drug similarities, cell line-cell line similarities and co-expressed genes • Decipher targets for drugs whose mechanism of action is not well-elucidated • Guide drug sensitivity predictions based on the genomic status of a selected list of genes identiﬁed through RWR-MH Study Aims 1. RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine, MTZ, Pauwelsstrasse 19, 52074-Aachen, Germany 2. European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus CB10 1SD Hinxton, United Kingdom b) saezrodriguez@combine.rwth-aachen.de a) subramanian@combine.rwth-aachen.de • Multiplex heterogeneous networks (networks with multiple interconnected layers) could provide signiﬁcant information to understand the global topology, when compared to the networks that rely on single type of information1,2 • Random Walk with Restart on Multiplex Heterogeneous networks (RWR-MH) have been shown to effectively identify candidate genes of not well-studied diseases2 • Random walk with restart algorithm allows to explore all neighbours in close proximity to the seed nodes (diseases/ genes/ drugs) Background 1. Li, Y., Patra, J.C. (2010) Bioinformatics 26 (9), pp.1219-1224. 2. Valdeolivas, A., Ticket, L., Navarro, C. Et al. (2017) bioRxiv. DOI:10.1101/134734 3. Iorio, F., Knijnenburg, T.A., Vis, D.J. et al. (2016) Cell, 166(3), pp. 740-754. Drug-Drug similarity (766): Pearson’s correlation coefﬁcient based on normalised IC50s from GDSC (one drug against all cell lines) > 0.6 Cell line-Cell line similarity (1548): Pearson’s correlation coefﬁcient based on normalised IC50s from GDSC (one cell line against all drugs) > 0.6 Pathways / PPI (254766): Reactome, Biocarta, KEGG, InnateDB, Uniprot Coexpression (15319): Pearson’s correlation coefﬁcient based on Gene expression from GDSC (One gene across all cell lines) > 0.6 Construction of Drug-Gene-Cell Line Networks Seeds 265 drugs from GDSC3 Key Inferences Decipher targets of uncharacterised drugs based on Drug-Drug similarities Genes used Pearson’s correlation (Average of all drugs) All genes available in GDSC (17419) 0.42 Network genes identiﬁed by RWR-MH (500) 0.44 Performances of Random Forests drug response prediction models based on gene expression ANOVA: Prioritised genes from RWR-MH are among the most signiﬁcant ones that relate to drug response. Models based on network genes are as predictive as the models with all the available genes. ANOVA Correlation between Drug sensitivities and Mutation / CNV of network genes + MSI status +GDSC tissues IC50 ~ Mut / CNV / Gene Expression (gene) + MSI status + GDSC


LOS MEDIOS INFORMATICOS AL 2023 JACKELLINE SUSANA FELIPE RIVERA LEIVIZ OMAR GARCIA ALCEQUIEZ ONELDY AQUINO RAMOS YANIRA POLANCO PACHECO Docente: Kenia Arias Introducción A continuación presentamos nuestra investigación acerca de los medios informáticos en el 2023 cuyo propósito es contribuir al objetivo 4 de desarrollo sostenible al 2030 que propone las Naciones Unidas (2018) “asegurar el acceso igualitario a todos los niveles de la enseñanza y la formación profesional para las personas vulnerables, incluidas las personas con discapacidad, los pueblos indígenas y los niños en situaciones de vulnerabilidad”. daremos a conocer tres aspectos, primero hacemos una descripción de conceptos, características tipos y clasificación en segundo lugar indicamos cuales son los medios informáticos mas utilizados en el ámbito educativo y ejemplos en tercer lugar proponemos un medio informático que podría ser útil a la sociedad. I Conceptos Universidad Abierta Para Adultos, R.D. USIN ARTIFICIAL INTELIGENCE uapa. Autores: Jackelline Susana Felipe Rivera Leivys Omar Garcia Alcequiez Oneldy Aquino Ramos Yanira Polanco Pacheco Docente: Kenia Arias Multi media Chats A continuación presentamos nuestra investigación acerca de los medios informáticos en el 2023 cuyo propósito es contribuir al objetivo 4 de desarrollo sostenible al 2030 que propone las Naciones Unidas (2018) “Asegurar el acceso igualitario a todos los niveles de la enseñanza y la formación profesional para las personas vulnerables, incluidas las personas con discapacidad, los pueblos indígenas y los niños en situaciones de vulnerabilidad”. daremos a conocer tres aspectos, primero hacemos una descripción de conceptos, características tipos y clasificación en segundo lugar indicamos cuales son los medios informáticos mas utilizados en el ámbito educativo y ejemplos en tercer lugar proponemos un medio informático que podría ser útil a la sociedad. LOS MEDIOS INFORMATICOS Iimagen creada por ia DALLE Universidad Abierta Para Adultos, R.D. I Conceptos ¿QUE ES UN MEDIO INFORMATICO? Cabero (1998) destaca que los medios informáticos se refieren a documentos digitales que tienen la capacidad de integrar una variedad de componentes, como textos, sonidos, animaciones, imágenes fijas y en movimiento, así como fragmentos de vídeos. Barajas (2009) que los medios tecnológicos en los procesos de enseñanza-aprendizaje son las Tecnologías de la Información y la Comunicación (TIC) que se conforman a partir de procesos y productos derivados de las herramientas de hardware y software, las cuales actúan como soportes en el almacenamiento, procesamiento y transmisión digitalizada de la información LLuquinga-Quispe et al., (2022) Se incluyen diferentes soportes creados en función de garantizar la adquisición de conocimientos. CARACTERISTICAS DE LOS MEDIOS INFORMATICOS Cabero (1996) los clasifica en inmaterialidad, interactividad, instantaneidad, innovación elevados parámetros de calidad de imagen y sonido, digitalización, influencia más sobre los procesos que sobre los productos, automatización y diversidad. Podemos distinguir tambien según Barajas (2009) Almacenamiento de Datos: Los medios informáticos permiten el almacenamiento de grandes cantidades de datos en formato digital. Rapidez y eficiencia: Facilitan la rápida lectura, escritura y manipulación de datos. Capacidad de Procesamiento: Los medios informáticos pueden procesar datos de manera eficiente mediante dispositivos como procesadores, CPUs, entre otros. CLASIFICACION Y TIPOS DE MEDIOS INFORMATICOS Imagenes tomadas de Garcia Aretio, Lorenzo (2014) García.(2014) clasifica los medios informáticos en dos grandes tipos, los medios uno el cual se puede usar en la educación a distancia o virtualidad y la otra que se podría usar en la presencialidad. También clasifica los medios de acuerdo a la metodología que se desee usar , de acuerdo al software y de acuerdo a los dispositivos que se usen. Capacidad de Conectividad: Los medios informáticos suelen tener


Innovative Research for a Sustainable Future www.epa.gov/research Developing tools for high resolution mass spectrometry-based screening via the EPA’s CompTox Dashboard Andrew D. McEachran1,2*, Kamel Mansouri3, Hussein Al-Ghoul4, Alex Chao4, Chris Grulke2, Jon R. Sobus5, and Antony J. Williams2 1Oak Ridge Institute of Science and Education (ORISE) Research Participant, Research Triangle Park, NC 2U.S. Environmental Protection Agency, Office of Research and Development, National Center for Computational Toxicology, Research Triangle Park, NC 3Integrated Laboratory Systems, Inc., Morrisville, NC | 4Oak Ridge Associated Universities, Research Triangle Park, NC 5U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park, NC * mceachran.andrew@epa.gov l ORCiD: 0000-0003-1423-330X Problem Definition and Goals The CompTox Dashboard MS-Ready Structures for Database Searching MS/MS Data in NTA/SSA References Acknowledgements 1. Williams, AJ, et al. 2017. The CompTox Chemistry Dashboard: a community data resource for environmental chemistry. J Cheminf. https://doi.org/10.1186/s13321-017-0247-6 2. McEachran, AD, et al. 2017. Identifying known unknowns using the US EPA's CompTox Chemistry Dashboard. Anal. Bioanal. Chem. 409(7): 1729-1735. doi:10.1007/s00216-016-0139-z 3. McEachran, AD, et al. 2017. A comparison of three chromatographic retention time prediction models. Talanta. https://doi.org/10.1016/j.talanta.2018.01.022 4. McEachran, AD, et al. 2018. “MS-Ready” structures for non-targeted high-resolution mass spectrometry screening studies. J Cheminf. Accepted for publication. 5. Allen, et al. 2015. Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification. Metabolomics. https://doi.org/10.1007/s11306-014-0676-4 6. Newton, SR, et al. 2018. Suspect screening and non-targeted analysis of drinking water using point-of-use filters. Environ Poll. https://doi.org/10.1016/j.envpol.2017.11.033 Applications The authors would like to thank Emma Schymanski and Christoph Ruttkies for their valuable contributions on the MS-Ready Structures, associated publication, and integration to MetFrag. The authors would also like to thank Reza Aalizadeh and Nikolaos Thomaidis for use of the UOA-RTI software for retention time index prediction (manuscript submitted for publication). The authors would like to acknowledge the Dashboard development team for their efforts in surfacing all functionality. This work was supported in part by an appointment to the ORISE Research Participation Program at the Office of Research and Development, U.S. EPA, through an interagency agreement between the US EPA and DOE. This presentation does not necessarily represent the views or policies of the U.S. Environmental Protection Agency. Chemical metadata for ranking Problem: Non-targeted and suspect screening studies using high resolution mass spectrometry (HRMS) have revolutionized the detection of chemicals in complex matrices. However, data processing remains challenging due to the vast number of chemicals detected in samples, software and computational requirements of data processing, and inherent uncertainty in confidently identifying chemicals from candidate lists. Goals: Develop tools, data, and visualization approaches within an open chemistry resource to provide a freely available software tool to support structure identification and non-targeted analysis. Home page. The CompTox Dashboard (https://comptox.epa.gov) is a comprehensive chemistry resource containing chemistry data on more than 760,000 chemical substances. (Left and Below) To facilitate database searching, structures in DSSTox were processed into their “MS-Ready” form [4]. This processing workflow removes salts and stereochemistry and separates components of mixtures while retaining linkages to the original structure and substance. This enables the form of a structure observed via HRMS to be relat


A History Of Changes Millennial Sea Level In The Southwestern AtlanƟc Karla Rubio-Sandoval, Timothy Shaw, Ben Horton, Nicole Khan, Augusto Luiz Ferreira-Júnior, Rodolfo Angulo, Guilherme Lessa, Maria CrisƟna de Souza, MaƩeo Vacchi, Deirdre Ryan, SebasƟan Richiano, Evan Gowan, Ciro Cerrone, Paolo Stocchi, Thomas Lorscheid, Thomas Felis, Ann-Kathrin Petersen, & Alessio Rovere * LIG: SL values from ~5.6 to 20 m a.s.l. in the continent and from ~2 to 10 m a.s.l. in the islands. * HOL: Mid-Holocene maximum transgression rising RSL from 2 to 4 m above its present level. * Relative sea level (RSL) changes result from the interactions between land motion and the global mean sea level. * The elevation of a sample is not the RSL. It requires quantifying other parameters associated with the mean sea level (MSL). Figure 2. Beach ridge indicaƟve range Level is NOT Sea Level! Results Holocene (HOL; ~11 ka – to present) Conclusions Figure 1. Example of a SL indicator. Modiﬁed from Rovere et al., 2016 The database ﬂow * Geographic location. * Accurate chronology. * Elevation of the sample with respect to a tidal datum. * The indicative meaning. Four main criteria: Last Interglacial (LIG; ~128-116 ka) The ﬁgures on this panel represent the RSLs during the LIG in the Southwestern AtlanƟc. How to study Paleo Sea Levels? * Sea level (SL) reconstructions are developed using sea-level indicators. * The past position of the sea level is deﬁned by sea-level index points or limiting data. Figures on this panel represent the RSLs during the HOL in the Southwestern AtlanƟc. A) Map showing locaƟons of records. B), C), & D) Sea level curves by area.


Preliminary impacts of reduced mowing in highway ROWs on roadside pollinator abundance and habitat quality Kaitlin Stack Whitney, PhD Introduction • Insect pollinator populations are declining worldwide, primarily due to degradation and loss of habitat. • Roadside ROWs can potentially serve as alternative habitats, but they are also disturbed by road traffic and roadside maintenance. • Reduced mowing may result in more quality habitat through increased floral presence for habitat and foraging. (A) Sites Sites were selected using a multivariate cluster analysis to best represent the surrounding land use, geographic distribution, climactic factors, and road attributes (size, speed limit, traffic) of highways across upstate New York. Each site (n=30) had a block design of 2 miles in a control mowing treatment and 2 miles in a modified mowing treatment. Within each, we had 3 sampling locations per treatment and site. At each sampling location, we visited at least twice per year (generally between May and October). During each visit, we conducted multiple monitoring activities that directly measured pollinator abundance, as well as pollinator habitat quality. (B) Mowing Treatments Control treatment areas received the current mowing schedule. Modified treatment areas received reduced mowing; they were not mowed (except for the safety strip) in 2019 and were mowed in 2020 only after a plant-killing frost. . The experiment will continue into 2021, and modified treatment areas will again (like 2019) not be mowed all season (except for the safety strip). This presentation includes only a portion of the data collected and pollinators observed in the project. Data is preliminary, as another year of data will be collected. Project information is not yet approved by NYSDOT. Study Sites Science, Technology & Society Department, College of Liberal Arts Environmental Science Program, College of Science Rochester institute of Technology Correspondence: kxwsbi@rit.edu Acknowledgments This report was funded in part through grant(s) from the Federal Highway Administration and United States Department of Transportation under the State Planning and Research Program, Section 505 of Title 23, U.S. Code provided by the New York State Department of Transportation. The contents of this report do not necessarily reflect the official views or policy of the United States Department of Transportation, the Federal Highway Administration, or the New York State Department of Transportation. This report does not constitute a standard, specification, regulation, product endorsement, or an endorsement of manufacturers. Thank you to all the NYSDOT staff who supported the planning and safety of this project along NYS highways. Thank you to research assistants who helped sample: Alyssa Schoenfeldt, Virginia Aswad, Debmalya Ray Choudhuri,, Shereef Ghoneim, Jacob Horn, Alyssa Juergens, Matthew Madsen, Thuy Huong Vu, Jay Wickard, and Andrew Yoder. Native Bee and Honey Bee Abundance • Methods: We counted wild bee and honeybee abundance on flower blooms along a 75m linear transect (1). We collected this data twice per year in both 2019 and 2020. While a direct measure of pollinator presence and abundance, it is also a measure of habitat quality for pollinating insects. Invasive/Noxious Plant Species Abundance • Methods: We assessed the proportion of invasive and noxious plant species along a 100m vegetation transect using the line intercept method (2). The species included were: common reed (Phragmites australis), Japanese knotweed (Fallopia japonica), purple loosestrife (Lythrum salicaria), poison ivy (Toxicodendron radicans), wild parsnip (Pastinaca sativa), mile-a-minute (Persicaria perfoliata), oriental bittersweet (Celastrus orbiculatus), Poison sumac (Toxicodendron vernix), and Porcelain berry (Ampelopsis glandulosa). We collected this information twice per year both years. ROW Habitat Working Group Scorecard • Methods: We also used the Rights-of-Way as Habitat Work


A citizen science approach to govern demand patterns of ecosystem services and their influencing factors – lessons learned from Austria Katrin Karner1, Florian Danzinger2, Thomas Wrbka2, Martin Schönhart3 1 Institute of Sustainable Economic Development, BOKU university, Vienna, Austria katrin.karner@boku.ac.at 2 Department of Botany and Biodiversity Research, University of Vienna, Austria 3 Federal Institute of Agricultural Economics, Rural and Mountain Research, Vienna, Austria Methods Background Nature provides many valued services to people including provisioning (e.g. food), regulating (e.g. filtration of pathogens which improves water quality) and cultural services (e.g. areas for recreation). These services contributing to human well-being are referred to as ecosystem services (ESS) in academic literature. Past research proved the importance of land use (e.g. how farmers manage their agricultural land) for ESS supply. Most academic ESS assessments focused on the supply. However, lacking information on the demand of ESS risks that areas are prioritized for the supply of ESS where the demand of society is small. In the citizen science project ServeToPe, we aim to • test methods for ESS demand assessments by citizens in the Austrian Biosphere Reserve Wienerwald (BRWW), • identify overlaps and gaps of ESS supply and demand in the BRWW, and • inform citizens and regional decision-makers about ESS and sustainable landscape governance. Aim Results Next, results from the online tool and the survey at five locations across the BRWW are presented. The surveys were taken from June 2023 to December 2023 and we obtained 268 full questionnaires/data sets and 359 partial. Results include frequencies of undertaken or observed activities in the BRWW, the importance of different ESS, improvement needs for matching supply and demand of ESS, governance criteria and good governance practices (like the mountainbike platform). 0% 20% 40% 60% 80% 100% Collecting food (Herbs /… Meditation Other Sports (Biking, Running) Learning (from/about… Nature observation Walk / Hike Daily Weekly Several times a month Once a month Several times a year Once a year Never The citizen scientists mentioned following needs for improvement regarding recreation and habitat for species. Conclusions Overall, the citizen scientists identified highest demand for cultural services but services related to biodiversity and habitat conservation were evaluated as high likewise. Our lessons learned show that (i) engaging different citizens groups leads to complementary results on ESS, (ii) effective and tailored communication to each citizen group is of key relevance and (iii) online tools proved particularly useful. However, the evaluation of the tested instruments identified the supply of ESS and the need for improvement by the citizen scientists rather than the demand. Acknowledgments This research was part of the resrach project Servives to the people – better governane of ecosystem services at local scales in the Wienerwald region (ServeToPe) funded through the Top Citizen Sciences initiative of the Austrian Science Fund (FWF). N=70 N=359 Figure 2: Overview of the frequency of observed and undertaken activities in the biosphere reserve Wienerwald Figure 3: Overview of the need for improvement for recreation and habitat for species in the biosphere reserve Wienerwald (a) identification of the extent of the need of improvement and (b) word cloud on mentioned needs Figure 1: Overview of the methods applied in the research project ServeToPe We engaged with different citizen groups, applying different methods. E.g., we designed one online tool for a one-time reporting of regularly undertaken and observed uses of ESS in the BRWW, one for a regular reporting and held workshops.


Stable soliton comb from dual ring microresonators Motivation Frequency combs are usually generated using mode locked lasers, featuring narrow comb line spacing (~100MHz). Whereas, microresonator based combs present:  Large comb line spacing (10 to 500 GHz)  Low optical power operation The stability of microresonator based combs depends on the detuning of the laser with respect to the pump resonance. Our work aims at increasing the stability and the spectral purity of the comb lines. Spectroscopy Telecommunication Astronomy Precision measurements Frequency synthesizing LiDAR Frequency comb Applications 1. Helgason, Ó.B., Arteaga-Sierra, F.R., Ye, Z. et al. Dissipative solitons in photonic molecules. Nat. Photonics 15, 305–310 (2021). 2. Xue, Xiaoxiao, Qi, Minghao and Weiner, Andrew M.. "Normal-dispersion microresonator Kerr frequency combs" Nanophotonics, vol. 5, no. 2, 2016, pp. 244-262. References Abstract: We present a packaged SiN dual-ring resonator for frequency comb generation. Using a low frequency noise pump laser and active temperature stabilization we alleviate frequency drifts and detuning fluctuations. The resulting solitons are stable over several hours. Anamika Karunakaran1,2, Angelo Manetta1, Poul Varming1, Óskar B.Helgason3,Patrick Montague1, Minhao Pu2, Victor Torres-Company3, Kresten Yvind2 1 NKT Photonics, Birkerød, Denmark, 2 Technical University of Denmark, Kgs. Lyngby, Denmark, 3Chalmers University of Technology, Gothenburg,Sweden Dual ring microresonator In our experiment, we use dual ring resonators manufactured in Chalmers University of Technology, Sweden [1]. These achieve the localized anomalous dispersion by evanescent coupling between two rings with slightly different free spectral range. The degeneracy point of these rings can be tuned using a heater on the auxiliary ring which enables use of pump lasers at any convenient frequency. Figure : a) Dispersion profile of our microresonator [1] b) Drawing of the dual ring resonator c) Wavelength of mode crossing with respect to heater voltage Microresonators • High Q (~106) with 𝜒3 nonlinearity • Exhibit either anomalous or normal dispersion • Free spectral range ranging from ~10 GHz to 500 GHz In normal-dispersion microresonators, a mode with localized anomalous dispersion can be engineered by coupling different resonator modes.[2] Solitons are then generated by pumping this mode. Normal-dispersion microresonators typically yield combs with higher conversion efficiency than anomalous dispersion microresonators. Comb generation When light is coupled to the main ring, thermal effects redshift its optical resonance. Tuning the laser from the blue side to the red of the main resonance allows to generate our comb. In order to attain a coherent mode-locked state, both the voltage to the auxiliary-ring heater and the laser frequency are finely tuned. Frequency combs are generated via cascaded four wave mixing process exploiting the 𝜒3 properties and high Q value of our microresonator. Figure : Experimental setup for comb generation Figure : Generation of soliton. The laser is first detuned to the blue side of the resonator (Step 1). Fine adjustment of both the laser frequency and heater voltage bring about the appearance of comb lines (Step 2 and 3). Step 4 shows the final comb. Results We generated a soliton comb from a dual ring microresonator. Soliton stability depends on the detuning between the laser and the optical resonance of the main ring. To improve the stability, • Our device was packaged using buttcoupled high NA fibers. • Using low frequency noise NKT single frequency laser, we reduced detuning fluctuations . • By temperature stabilisation of the packaged device, the thermal drift of the resonance was curbed. After adding the TEC, the life span of solitons increased from 20 minutes to up to 5 hours. Figure : (a)The optical spectrum of the generated soliton comb. (b) The corresponding ESA spectrum of the comb lines. Figure (a) The packaged and


Economic and Operational Reliability Benefits of Wave Energy Integration in the U.S. Western Interconnection Kerem Ziya Akdemir1, Bryson Robertson2,3, Konstantinos Oikonomou2, Jordan Kern1, Nathalie Voisin2,4, Diane Baldwin2, Saptarshi Bhattacharya2 1 North Carolina State University; 2 Pacific Northwest National Laboratory; 3 Oregon State University; 4 University of Washington 1. Introduction 2. Methods 3. Results 4. Conclusions 5. References Motivation: • Renewable energy integration is critical for ensuring a sustainable and decarbonized future energy landscape. As grids are decarbonized, grid operators need to find alternative methods to maintain reliability during normal operations and extreme weather events. • Marine energy resources (including wave, tidal, and ocean currents) have significant potential to emerge as effective clean generation alternatives. • Compared to other renewable resources such as solar and wind, wave energy and tidal energy are more periodic, persistent, and predictable. • Wave energy is the most scalable among marine energy resources and its integration into bulk power system operation has proven potential to improve operational reliability and resiliency. Research Objective: Studying the effect of wave power integration on power system operations through an optimization-based unit commitment/economic dispatch (UC/ED) model under: ➢Different transmission expansion scenarios, ➢Extreme weather scenario, ➢Transmission line contingency scenario. [1] Akdemir, K. Z., Robertson, B., Oikonomou, K., Kern, J., Voisin, N., Hanif, S., & Bhattacharya, S. (2023). Opportunities for wave energy in bulk power system operations. Applied Energy, 352, 121845. https://doi.org/10.1016/j.apenergy.2023.121845 [2] Akdemir, K. Z., Oikonomou, K., Kern, J. D., Voisin, N., Ssembatya, H., & Qian, J. (2024). An open-source framework for balancing computational speed and fidelity in production cost models. Environmental Research: Energy, 1(1), 015003. https://doi.org/10.1088/2753-3751/ad1751 [3] Bhattacharya, S., Pennock, S., Robertson, B., Hanif, S., Alam, M. J. E., Bhatnagar, D., Preziuso, D., & O’Neil, R. (2021). Timing value of marine renewable energy resources for potential grid applications. Applied Energy, 299, 117281. https://doi.org/10.1016/j.apenergy.2021.117281 Figure 1: Reduced order 134-node representation of U.S. Western Interconnection (GO WEST model) Session Number/Abstract ID: GC15/1292933 Contact Information: kakdemi@ncsu.edu • Open-source production cost modeling framework for the U.S. Western Interconnection (GO WEST) is used as a baseline to create the specific test case for wave energy integration. This is a Python-based software where the users can create a reduced network representation of U.S. interconnections through customization parameters and simulate grid operations through a UC/ED model. • In order to study the impact of marine renewable energy (MRE) resources in a scalable manner, a systematic model reduction is performed to design an equivalent reduced topology for the entire U.S. Western Interconnection. • In this study, we selected 134 nodes to represent grid operations. 10 nodes throughout the Western Interconnection are selected specifically to host wave power generators (2 in Washington, 4 in Oregon, and 4 in northern California). • GO WEST’s objective is to minimize the total cost of providing necessary electricity to meet the total demand across the entire power system, subject to constraints that restrict the generator commitment and dispatch decisions such as generator ramp rate limits and maximum generator capacities. • Model outputs include the generation schedule of each generator, power flow on each transmission line, locational marginal prices (LMP) at each node, and unserved energy at each node. Integrating Wave Energy without Transmission Expansion Figure 2: Average nodal LMP changes due to wave power integration for 2 wave power capacities in 2019 without transmission expansion (


SGD and the Alliance of Genome Resources Stacia R. Engel, Edith D. Wong, Robert S. Nash, Felix Gondwe, Kevin A. MacPherson, Patrick Ng, Suzi Aleksander, Stuart Miyasato, J. Michael Cherry, and The SGD Project Department of Genetics, Stanford University, Stanford, CA 94305, USA The yeast research community has long enjoyed the support provided by the Saccharomyces Genome Database (SGD), and has flourished because of its existence, making great breakthroughs and technological advances, and contributing countless key insights to the fields of genetics and genomics over the past decades. SGD has recently joined forces with five other model organism databases (MODs) - WormBase, FlyBase, ZFIN, RGD, and MGI - plus the Gene Ontology Consortium (GOC) to form the Alliance of Genome Resources (the Alliance; alliancegenome.org). The Alliance website integrates expertly-curated information on model organisms and the functioning of cellular systems, and enables unified access to comparative genomics and genetics data, facilitating cross-species analyses. The site is undergoing rapid development as we work to harmonize various datatypes across the various organisms. Explore your favorite genes in the Alliance to find information regarding orthology sets, gene expression, gene function, mutant phenotypes, alleles, disease associations and more! The Alliance is supported by NIH NHGRI U24HG002223-19S1, NIH NHGRI U41HG001315 (SGD), NIH NHGRI P41HG002659 (ZFIN), NIH NHGRI U24HG002223 (WormBase), MRC-UK MR/L001020/1 (WormBase), NIH NHGRI U41HG000739 (FlyBase), NIH NHLBI HL64541 (RGD), NIH NHGRI HG000330 (MGD), and NIH NHGRI U41HG002273 (GOC, which also provides funding to WB, MGD, SGD). Goal: develop and maintain sustainable genome information resources that facilitate the use of diverse model organisms to understand the genetic and genomic bases of human biology, health, and disease Yeast, human, and model organism orthologs ! Alleles and phenotype variants ! Disease associations ! Expression sgd-helpdesk@lists.stanford.edu ! @yeastgenome @alliancegenome ! help@alliancegenome.org


I) Extinction ( ) and accretion luminosity ( ) Av Lacc ✓In this analysis we considered the following lines as accretion diagnostics: , , , and lines, together with the Ca II triplet lines. ✓The measured fluxes of these emission lines have been combined with the Gaia DR2 distance (Gaia Collaboration et al. 2018) of pc to derive the line luminosities ( ). ✓From each of them we evaluated the accretion luminosity ( ) by making use of the empirical relations of Alcalá et al. (2017). In this way, we estimated the weighted mean accretion luminosity ( ), as illustrated in Fig. 1. ✓We have developed a new approach to estimate the extinction of our source, which corresponds to the value minimizing the relative error of (Fig. 2). To this end, we corrected the observed spectra for extinction using the extinction law by Weingartner & Draine (2001) that covers the wavelength range of the X-shooter spectra. Hα Hβ Hγ Hδ 151 ± 14 Lline Lacc,line Lacc,line −Lline ⟨Lacc,line⟩ Av ⟨Lacc,line⟩ Variability of the mass accretion rate in the very low-mass star Par-Lup3-4 A. Klutsch1, B. Stelzer1,2, J. M. Alcalá3, A. Frasca4, C. F. Manara5, A. Scholz6 1 IAAT Tübingen, Germany, E-mail : klutsch@astro.uni-tuebingen.de • 2 INAF-OA Palermo, Italy • 3 INAF-OA Capodimonte, Napoli, Italy 4 INAF-OA Catania, Italy • 5 European Southern Observatory, Garching bei München, Germany • 6 SUPA St. Andrews, UK Acknowledgments • This work is supported by the Deutsche Forschungsgemeinschaft (DFG) project number 413113723. References • Alcalá, J. M., et al. 2017, A&A, 600, A20 ; Comerón, F., et al. 2003, A&A, 406, 1001 ; Gaia Collaboration, Brown, A. G. A., et al. 2018, A&A, 616, A1 ; Manara, C. F., et al. 2013, A&A, 558, A114 ; Weingartner, J. C. & Draine, B. T. 2001, ApJ, 548, 296. Virtual conference March 2-4, 2021 Accretion and outflows are key processes in early stellar evolution. The material accreted at the edge of the inner disc is channeled along magnetic funnel flows onto the star. Its kinetic energy is dissipated in standing accretion shocks. The accretion process is therefore sensitive to the spatial and temporal variations of the structure of the magnetic field and its mass load. Due to the change of view of the star-disc system throughout the rotation cycle, geometric effects are superimposed on such intrinsic variability and likely dominate the observed variability. An assessment of changes in the mass accretion rate is essential to understand the structure of the star-disc-magnetosphere system. The young, very low-mass star Par-Lup3-4 displays a rich emission-line spectrum, hosts a disc with an almost edge-on inclination, and is in the critical mass range near the star/brown dwarf transition, where the knowledge of the accretion/outflow connection remains rather poor. These properties make this star a prime target for conducting a variability study of mass accretion. We make use of X-shooter's unique capabilities to monitor its broad-band spectrum in the range from ultraviolet to near-infrared. The sampling of our ten spectra covers timescales of hours, days, weeks, and years. ✓The values are almost constant over time (Fig. 3), with the exception of the spectrum acquired in 2012 (i.e., epoch 2). ✓Due to a bad seeing, the error on is higher and, as a consequence, the determination of is poorer in epochs 3 6. ✓We evaluated the weighted average extinction at: ‣ mag with the method described by Manara et al. (2013). ‣ mag with the approach presented in Sect. I. ✓These values agree with each other within the errors and are consistent with those in the literature for Par-Lup3-4, which range from 2.4 to 5.6 mag (Comerón et al. 2003). ✓We also obtained a good agreement between the values derived with these two methods (Fig. 4). ✓After correcting for the extinction, a small variation of can be seen (Fig. 5). We obtained , which corresponds to a mass accretion rate of or . Av Lacc,line Av − ⟨Av⟩ 1.95 ± 0.25 2.35 ± 0.25 Lacc Lacc log(Lacc/L⊙) = −3.0 ± 0.1 log( ·Macc)


ww w.uni-frankfurt.de Hintergrund In Zentraloman gibt es viele verlassene Lehmziegelsiedlungen und Lehmzie- gelquartiere, letztere in den Zentren der modernen Städte. Es wird davon aus- gegangen, dass ihre Auflassung im Zuge von Modernisierungsprozessen seit den 1970er Jahren erfolgte. In jüngerer Zeit stehen die Lehmziegelsiedlungen im Zentrum konfliktiver Deutungsprozesse. Wissenschaftler und nationale In- stitutionen warnen vor dem Verfall dieses einzigartigen kulturellen Erbes; die lokale Bevölkerung hat an einer aktiven Nutzung eher geringes Interesse, will die Siedlungen aber auch nicht aufgeben. Die verlassenen Siedlungen sind damit zwar bauliche Vergangenheit, ragen aber deutlich wahrnehmbar und zugleich umstritten in Gegenwart und Zukunft. Öffentlichkeitsarbeit Verschiedene Maßnahmen wurden ergriffen, um das Projekt in der Öf- fentlichkeit sichtbar zu machen. Dies umfasst unter anderem eine Kurz- filmserie der Gerda-Henkel-Sfitung, verschiedene Zeitungsartikel sowie eine geplante Posterausstellung an den verschiedenen beteiligten Uni- versitäten. Ziele Ziel dieses von der Gerda Henkel-Stiftung geförderten interdisziplinären Ver- bundprojektes zwischen Archäologie, Soziologie und Islamwissenschaften ist es, die soziale Relevanz der verlassenen Lehmziegelsiedlungen verstehbar zu machen. GIS-Verteilungskarte der Funde in Al-Qabrayn Münzen aus Al-Malah Arbeiten zu den Kurzfilmen der Gerda Henkel-Stiftung Keramik aus Al-Qabrayn und Safrat al-Khashbah Ergebnisse Eine der wichtigsten Erkentnisse des archäologischen Teilprojekts ist, dass die meisten untersuchten Siedlungen lange vor 1970 verlassen wurden und damit deutlich früher als bislang allgemein angenommen. Daher müssen andere Ursachen als die Modernisierung des Landes für ihre Auflassung in Betracht gezogen werden. Kleinfunde Tonobjekte Lithik Metallobjekte Schmuckobjekte Tierknochen Keramik feine und mittelgrob, mineralisch gemagerte Waren grobe, mineralisch gemagerte Waren glasierte Waren Porzellan Fundverteilung Al Qabrayn Methoden Irini Biezeveld Archäologie: Das archäologische Teilprojekt be- fasst sich zum einen mit der Kartographie und Bauaufnahme fünf ausgewählter Lehmziegelsiedlungen in der Region Al-Mudhaybi. Ein anderer Schwerpunkt sind Oberflächensur- veys mit Artefaktsammlung sowie Ausgrabungen, um die Frage zu klären, wann die Siedlungen ge- gründet, wann aufgelassen und wann und wie nachge- nutzt wurden. Für die Frage der Datierung spielt insbesondere die Keramikauswertung eine Rolle. Josephine Kanditt Thomas Schmidt-Lux Soziologie: Das soziologische Teilprojekt be- schäftigt sich zum einen mit theoreti- schen Konzepten zu „Lost Cities“, insbesondere der Frage, was eine „Lost City“ ist, untersucht aber auch empirisch den Wandel der Lehmziegelsiedlungen in Oman anhand von Berichten in Zeitun- gen, Social Media, Tourismus-Por- talen und anderen Quellen. So wird eine wissenssoziologischen Diskursana- lyse zur Wahrnehmung und Be- wertung von Lehmziegelsiedlun- gen durchgeführt. Birgit Mershen Islamwissenschaften: Im islamwissenschaftlichen Pro- jektteil steht die räumliche Manifestation sozialer Strukturen im Vordergrund. Um diese zu untersuchen, kommen Begehungen sowie die Auswertun- gen historischer und aktueller Fo- toaufnahmen sowie historischer Schriftquellen zum Einsatz. Eine wichtige Frage hierbei ist es, welche Strukturen proaktiv erhal- ten und welche dem Verfall preis- gegeben werden. Eng verbunden damit ist die Frage, wie die Lehm- ziegelsiedlungen heute wahrge- nommen werden. Stephanie Döpper PD Dr. Stephanie Döpper Irini Biezeveld, MA doepper@em.uni-frankfurt.de irinibiezeveld@gmail.com @Archaeo_Oman @Irini0696 www.archaeoman.de Zwischen Verklärung und Vernachlässigung


Overview Seismology is a data and model-intensive field. Data-driven computations benefit from Cloud Computing because observational seismology relies on horizontal scalability. Model-driven computation benefits from High-Performance Computing because simulations necessitate large memory and a high number of workers for efficient parallelization. Our project SCOPED (Seismic COmputational Platform for Empowering Discovery) aims to bridge both observational and theoretical fields by building a CyberInfrastructure (software, data) as a service to the seismic community. The challenges ahead are the benchmarking of open-source codes in cloud and HPC environments, the containerization of these codes adapted to various computing architectures, and the choice of data formats adapted to both Cloud and HPC computing, among others. PI TEAM: Carl Tape (ctape@alaska.edu); PI: full waveform modeling, earthquake source characteristics and uncertainties [UAF: OAC-CSSI 2104052] Ebru Bozdag (bozdag@mines.edu), co-PI: full waveform inversion and tomography [MINES: OAC-CSSI 2103621] Marine Denolle (mdenolle@uw.edu); co-PI: ambient noise seismology and cloud computing [UW: OAC-CSSI 2103701] Felix Waldhauser (felixw@ldeo.columbia.edu), co-PI: earthquake source precisions and catalogs [Lamont/Columbia: OAC-CSSI 2103741] Ian Wang (iwang@tacc.utexas.edu), co-PI: high-performance seismology, filesystem, database [TAAC/UT: OAC-CSSI 2103494] References and Links SeisNoise: https://github.com/tclements/SeisNoise.jl MSPASS: https://www.mspass.org/ MTUQ: https://uafgeotools.github.io/mtuq/index.html SPECFEM3D: https://github.com/geodynamics/specfem3d SPECFEM3D_GLOBE: https://github.com/geodynamics/specfem3d_globe Pyatoa: https://pyatoa.readthedocs.io/en/latest/ SCOPED base container: https://github.com/SeisSCOPED/container-base SCOPED containers: https://github.com/orgs/SeisSCOPED/packages Ambient Noise on the cloud: https://github.com/Denolle-Lab/C4-Project.jl ASDF: https://seismic-data.org/ ADIOS: https://adios2.readthedocs.io/en/latest/ SCOPED: Seismic COmputational Platform for Empowering Discovery [Year 1] NSF Cyberinfrastructure for Sustained Scientific Innovation (CSSI) Frameworks Project Advancing science with SCOPED codes SCOPED focuses on four seismological applications enabled by several open-source software packages. We seek to improve these packages, while also containerizing them for easier use by others. Seismic wavefield modeling with spectral-element method simulations Wavefield simulations within 3D Earth models provide synthetic seismograms that can be compared with recorded seismograms, either to better understand earthquake sources or to improve the subsurface characterization of Earth’s structure. A schematic diagram of the proposed SCOPED Cyberinfrastructure that combines computation (left) and data (right). The SCOPED deliverables will be either fully functional (dark blue) or prototyped (light blue). The external components that SCOPED will interact with (gray) are either computing facilities, data archives, and users. Representation of the unified and interconnected SCOPED Cyberinfrastructure described in the science components and cyberinsfrastructure. At the top, the global map of seismic stations represents one of several featured sources of data sets. Data are hosted and processed on HPC and on Cloud clusters, which overly pillars of wavefield simulations (left column) and data processing and analysis (right column). Cross-disciplinary research will facilitate the investigations of outstanding questions about Earth and fault dynamics Containerizing SCOPED software Once SCOPED-participating codes are mature (and meet best practices), we will containerize them for use on HPC systems and cloud systems, as sketched in the figure below left. These containers will be used both for research and training purposes. Zoom snapshot of a slide shown on Day 1 of the MTUQ2022 virtual workshop [April 2022]. The slide features the simultaneous


JobManagement Slurm Light-weight Grid Computing for Small Group Use Cases Aiqiang Zhang, Qimin Zhou, Xu Deng, Benda Xu Department of Engineering Physics, Tsinghua University zhangaq19@mails.tsinghua.edu.cn CHEP, 4-8 November 2019 1. Introduction In modern physics experiments, data analysis need considerable computing capacity. While several largescale grid solutions exist, for example DiRAC (Distributed Infrastructure with Remote Agent Control) [1], there are few schemes devoted to solve the problem at small-scale. For the cases when light-weight grid computing is more desirable, our project provides a simple solution in connecting and managing the distributive computing resources of a small group. The components are all freely available as official Debian packages. [1] Fifield, Tom, et al. "Integration of cloud, grid and local cluster resources with DIRAC." Journal of Physics: Conference Series. Vol. 331. No. 6. IOP Publishing, 2011. [2] Juliusz Chroboczek. The Babel Routing Protocol. RFC 6126. Apr. 2011. doi: 10.17487/RFC6126. url: https://rfc-editor.org/rfc/rfc6126.txt. [3] ”Slurm Workload Manager”. 2019. Web. Oct 2019. https://slurm.schedmd.com/overview.html. [4] Ming Chen, Dean Hildebrand, Geoff Kuenning, Soujanya Shankaranarayana, Bharat Singh, and Erez Zadok. 2015. Newer Is Sometimes Better: An Evaluation of NFSv4.1. SIGMETRICS Perform. Eval. Rev. 43, 1 (June 2015), 165-176. DOI=http://dx.doi.org/10.1145/2796314.274584 2. Overview 2.1 Network: Overlay 2.2 Storage: NFS 2.3 JobManager: Slurm 3. Performance 4 Conclusions References Acknowledgements 5 Upcoming Research tinc and babel are installed in every nodes. network is fault-tolerated and has low latency. hosts in private network could be connected. NFS (Network File System) was developed to allow machines to mount a disk partition on a remote machine as if it were a local disk.[4] run NFS server on the storage sharing host run NFS client on the hosts which can mount the shared filesystem Slurm is an open source, fault-tolerant, and highly scalable cluster management and job scheduling system for large and small Linux clusters.[3] slurmd daemon runs on each computing node slurmctld daemon runs on management node Requirement: 1.distribute filesystem 2. job management 3. maintainable without support team limitation: 1. several hosts, number range 2~4 2. different hosts in private isolated network Network: Overlay Storage: NFS HOST1 HOST3 SLURMCTLD SLURMD HOST2 NFS client NFS server VFS(virtual File System) network 3.1 Network Performance 3.2 System Performance slurmctld slurmd slurmd ENVIRONMENT: • The system is setup with 2 hosts in different private network. • The NFS server and Slurm controller run on the same node. • Server CPU: 32 cores, Intel Xeon E5-2630 • Client CPU: 16 cores, Intel Xeon E5-620 Figure 6 shows a time cost comparison between local file copy and remote file copy. The different size of files cost different time to copy. Copying file use NFS need network transport, which leads to more time delay. Figure 7 shows an experiment to measure the data processing time using single core without Slurm, single core with Slurm, five cores with Slurm. In the experiment, the job is to process many waveform files (the waveform generated from PMT voltage readout). The NFS cost a lot of time in the whole system. It is faster to use Slurm on more cores than single core. A unified interface is achievable with a few available packages from popular GNU/Linux distributions. Compare NFS with other distribute filesystem. Find the best strategy to allocate jobs to reduce the delay from network. Compare performance with other grid solutions, such as DIRAC. This work is support by SRT (Student Research Training) of Tsinghua University. The whole project is mentored by Professor Benda Xu. Qimin Zhou and Xu Deng did the main part of this project with me. Figure 1: small scale group Figure 2: Concepts maps of our solution Figure 3: The overlay network Figure 7: Time d


The dataset can be downloaded at https://openneuro.org/datasets/ds004215 RESULTS 1. Data cleaning is a non-trivial step in curating FAIR datasets. 2. Systematically searching for data errors is better than incidentally discovering them.1 3. Documenting data decisions with reasoning is key to isolating the source of errors. Data curation of the NIMH Healthy Volunteer dataset Arshitha Basavaraj1, Eric Earl1, Travis Riddle1, Jeﬀrey D. Stout2, Anna M. Namyst2, Adam Thomas1, Allison C. Nugent2, Joyce Chung3 1Data Science & Sharing Team, NIMH, 2Magnetoencephalography Core Facility, NIMH, 3Oﬃce of the Clinical Director, NIMH TAKEAWAYS ●Resolving data problems once they have occurred is referred to as data cleaning.1 ●About 80% of the time preparing a dataset is spent on data cleaning.2 ●Here we share some curation good practices based on our experience curating the NIMH Healthy Volunteer dataset.3 INTRODUCTION METHODS ●Four types of data collected ○Online questionnaires ○Clinical Assessments ○Magnetic Resonance Imaging (MRI) ○Magnetoencephalography (MEG) ●Raw data was cleaned, and transformed to BIDS4-6 standard format using semi-automated scripts. All manual steps were documented to ensure reproducibility. ●Data cleaning phases can be divided into error detection, diagnosis and treatment. ●Errors were detected through exploratory analysis tools such as: ○Summary statistics ○Outlier detection ○Expected variable ranges ●Cleaning tabular data7 required the most eﬀort due to ○Loss of data provenance1,8 ○Manual data entry8 errors 1. Compile a version-controlled list of participants for each type of data. 2. Maintain a change log to document modiﬁcations to data collection processes. 3. Communicate frequently with study collaborators to speed up discovery and correction of data inaccuracies. 4. Allocating resources to monitor and clean data at every stage of data ﬂow can greatly reduce errors. RECOMMENDATIONS Scan the QR code for references and other links or visit: See also posters: ➔#1283 for more speciﬁcs on the study protocol. ➔#2464 for the phenotype standardization software tool. linktr.ee/arsh.b Fig. 1: Flow of data from collection to sharing. Fig. 2: Phases of data cleaning Detect Diagnose Fix


A Schoolyard to Play H. Guerra1, N. Cortes1, C. Santos1, students from class 4.º I1 1Escola Básica da Quinta dos Franceses, Agrupamento de Escolas Dr. António Augusto Louro, Seixal, Portugal Abstract This is an entrepreneurship project that promotes awareness, as its main action is to make the school more appealing. Students have raised this problem, and identified the main goal of improving the schoolyard spaces. Problems were surveyed and solutions presented, with the focus of intervention in green spaces, new paintings and organization of leisure spaces. Contacts were initiated with different stakeholders, for the potential implementation of the solutions found in this project. Keywords Awareness; biodiversity; cooperation; entrepreneurship; responsibility; schoolyard.


I SIMPOSIO DE OBSTETRICIA CON ÉNFASIS EN LA SALUD MATERNA Y NEONATAL REVISIÓN SISTEMÁTICA: OBSERVACIONES DE LOS COMITÉS DE ÉTICA A PROTOCOLOS DE INVESTIGACIÓN MÉDICA Cristhian Vasco-Toapanta 1, Alisson Guanoluisa-Vasco 2, Gabriel Vasco-Toapanta3 1Interno Rotativo, Colegio de Ciencias de la salud, Universidad San Francisco de Quito, Quito, Ecuador 2Estudiante, Carrera de Fonoaudiología, Facultad de Ciencias de la Discapacidad, Universidad Central del Ecuador, Quito, Ecuador 3Estudiante, Ingeniería Civil, Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito, Ecuador Introducción: 1. Autonomía: Los pacientes eligen libremente participar, con protección para quienes no pueden decidir y consentimiento informado. 2. Beneficencia: Se maximizan los beneficios y se protege al paciente, evitando cualquier daño. 3. Justicia: Garantiza que los beneficios de la investigación se distribuyan de manera equitativa y que la selección de participantes sea justa. Metodología: Revisión sistemática de 9 estudios, incluidos estudios transversales, cohortes retrospectivas y estudios descriptivos, abarcando diversas regiones y tipos de investigación. Resultados Figura 1 Discusión: Hay disparidades significativas entre regiones y tipos de estudio, probablemente debido a diferencias culturales, interpretativas y en los recursos humanos e institucionales disponibles. Los CEIs deben mejorar sus procesos de evaluación para asegurar una selección justa, respeto por la autonomía y maximización de los beneficios, minimizando al mismo tiempo los riesgos para los participantes. Conclusión: El estudio destaca la necesidad de reforzar las prácticas éticas en la investigación médica, centrándose en mejorar el cumplimiento de principios fundamentales como la justicia, Referencias: Vasco-Morales, S., Vasco-Toapanta, G. A., Vasco-Toapanta, C. S., & Toapanta-Pinta, P. (2024). Ethics in medical research: A quantitative analysis of the observations of Ethics Committees in research protocols. MedRxiv, 2024.06.23.24309373. https://doi.org/10.1101/2024.06.23.24309373


www.ikts.fraunhofer.de © Fraunhofer IKTS HOW TO INVESTIGATE ADDITIVE-RELATED EFFECTS FROM MICROPLASTICS? Annegret Potthoff1, Axel Müller-Köhn1, Anita Jemec Kokalj2, Dana Kühnel3 1Fraunhofer Institute for Ceramic Technologies and Systems IKTS, Dresden, Germany; 2University of Ljubljana, Ljubljana, Slovenia; 3Helmholtz-Center for Environmental Research GmbH – UFZ, Leipzig, Germany Contact: Annegret Potthoff | Fraunhofer Institute for Ceramic Technologies and System IKTS | Department Materials and Process Characterization | Group Powder and Suspension Characterization | Winterbergstrasse 28, 01277 Dresden, Germany | Phone +49 351 2553-7700 | annegret.potthoff@ikts.fraunhofer.de INTRODUCTION When assessing potentially harmful ecotoxicological or toxicological effects of microplastics, researchers are in a quandary:  To suit the requirements of interpretable experimental data, they wish well characterized small particles, ideally with a narrow particle size distribution and ideally doped with a well detectable element like Europium. The wished polymer particles should not contain any other substances.  To obtain results that represent real exposure scenarios, the characteristics of the test material are completely different: Microplastics found in the environment, differ in sizes and shapes – and they do not only contain the polymer itself, but an unknown quantity of unidentified chemicals. An approach that combines both, well-known characteristics and environmentally relevant properties, should be developed. The sample preparation procedure should work not only for a variety of polymers and chemicals, but also for different organisms. AIMS AND HYPOTHESIS To bring both – researcher´s needs and a relevant scenario – together, a defined sample preparation of close-to-reality particles under controlled conditions is required. For this, a polymer, "almost free" of chemicals, is needed, and chemicals, that are relevant for various applications, as well as organisms for ecotoxicological testing must be selected. A case study based on Low-density Polyethylene (LDPE) as widely common polymer, available as granules, was conducted. The filler Zinc Oxide (ZnO) was chosen because it acts as flame retardant for polymers. For the ecotoxicological tests, effects are expected: Due to leaching of Zinc ions when ZnO is exposed to water, the filler containing polymer particles could exert a higher toxicity than the control polymer particles. Figure 1: Compounding and extrusion of polymer tapes containing organic and nonorganic additives at Fraunhofer IKTS. Figure 5: Unknown quantity of unidentified chemicals – to be considered for ecotoxicological testing. ACKNOWLEDGEMENTS PlasticsFatE has received funding from the European Union’s Horizon 2020 Research and Innovation programme, under the Grant Agreement number 965367. CONCLUSIONS AND OUTLOOK  Here we present an approach of using well-known additives in known concentrations in polymer particles for ecotoxicological testing.  The described procedure opens the opportunity to assess the impact of additive compounds and polymer particles on organisms independent as well as in combination.  The accompanied characterization work depends on type of the chemicals in polymer (Figure 5). A detailed understanding of mechanisms is required.  Mixtures of chemicals can be tested in the same way.  It can be combined with aging protocols to mirror environmental conditions – polymer particles might be tested before and after ageing. EXPERIMENTAL APPROACH - POLYMER SAMPLE PREPARATION Three steps of sample preparation were applied to produce well-defined particle for testing:  Extrusion of tapes (Figure 1): In a first compounding step polymer and additives were mixed and granulated. This granulated feedstock was used in film extrusion process to produce endless tape, which can be separated in specific dimensions. 5 wt.% of ZnO were homogenously distributed in LDPE.  Cryo-Milling (Figure 2): The milling bowl wa