Epidemiological studies on reservoir hosts and potential vectors of Grapevine flavescence dorée and validation of different diagnostic procedures for GFD (GRAFDEPI) Funding Mixed non-competitive-virtual pot funding mechanism. Each funder only pays for the participation of their own national researchers. Total funding € 213,000 Picture 1 Picture 1 Picture 1 Goals The goals of the GRAFDEPI project are: • to improve the knowledge on epidemiological cycle of the disease; • to harmonize flavescence dorée diagnostic procedures within the EU. Research consortium IT-CRA-PAV, AGES-AT, CRAW-BE, TR-PPRS, PT-INRB, ACW-CH, BE-ILVO, DISTA-IT, DIPROVE-IT, CRA-ABP-IT, IPEP-SB, NIB-SI, IRTA-SP Contact information Project coordinator: Graziella Pasquini graziella.pasquini@entecra.it Key outputs and results • availability of validated conventional and real time PCR protocols for phytosanitary labs • identification of new potential vectors of FD phytoplasma • upgrading of the geographical distribution of FD strains in involved countries and individuation of ‘unusual isolates’ • design of surveillance schemes for the disease control Objectives • Validation of diagnostic protocols at European level • evaluation of new alternative hosts and vectors in the epidemiological cycle of the disease • characterization of FD isolates in different countries • suggestions for new control strategies 05/2012-04/2014


Comparison of Numerical Schemes to Solve the Newton-Lorentz Equation Jabus van den Berg1 1 Centre for Space Research, North-West University, Potchefstroom, South Africa 24182869@nwu.ac.za Abstract To better understand the transport of solar energetic particles, a conceptual understanding of the micro-physics of charged particle propagation in electric and magnetic ﬁelds is needed. The movement of charged particles are governed by the Newton-Lorentz equation, which becomes increasingly diﬃcult to solve analytically for complicated electric and magnetic ﬁelds. In this work, the methods of Boris (1970) and Vay (2008), as well as a forth-order Runge-Kutta scheme, are investigated for numerically solving the Newton-Lorentz equation. This work focuses on accuracy rather than computational speed, since these numerical schemes will be used to analyse the motion of particles in turbulent electric and magnetic ﬁelds. The Larmor radius, deviation between the ﬁnal numerical and analytical position, as well as the execution time, are calculated and recorded for diﬀerent time steps. 1 The Newton-Lorentz Equation The motion of a particle with mass m and charge q, moving with velocity ⃗v in an electric ﬁeld ⃗E and magnetic ﬁeld ⃗B, is governed by the Newton-Lorentz equation md(γ⃗v) dt = q  ⃗E + ⃗v × ⃗B  , (1) where γ = 1/ p 1 −(v/c)2 is the Lorentz factor, with c the speed of light in vacuum (Griﬃths, 1999). This can be split into two, ﬁrst-order diﬀerential equations d⃗r(t) dt = ⃗v(t) and md⃗u(t) dt = q h ⃗E (⃗r(t); t) + ⃗v(t) × ⃗B (⃗r(t); t) i , (2) where ⃗u(t) = γ(t)⃗v(t). This is solved in Cartesian coordinates since the vector product is easily calculated and it is diﬃcult to ﬁnd a symmetry axis for a general magnetic ﬁeld. The numerical methods used to solve this equations should be accurate to simulate charged particles in turbulent electric and magnetic ﬁelds, as shown in Fig. 1. The Larmor radius of the particle’s gyration is deﬁned as rL = v⊥/ωc, (3) where v⊥= v sin[arccos(⃗v · ⃗B/vB)] is the particle’s speed perpendicular to the magnetic ﬁeld and ωc = |q|B/γm (4) is the cyclotron frequency. s 1 3 2 1 0 1 s 2 3 2 1 0 1 2 3 s 0 2 4 6 8 x [m] 6 5 4 3 2 1 0 1 y [m] 1 0 1 2 3 4 5 z [m] 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 Fig. 1: Left panel: Background (black) and turbulent (green) magnetic ﬁeld lines of a composite slab-2D turbulence model at time t = 0. The magnetic ﬁeld lines can be though of as the path of the particle’s guiding centre if the particle is stuck to the ﬁeld line. Right panel: Trajectory (red) of an electron in the composite turbulence model, simulated using the Runge-Kutta method. A single background magnetic ﬁeld line (black dashed) and the particle’s guiding centre (blue dotted) is also shown. 2.1 The Method of Boris (1970) The position can be calculated by a time-centred approximation of Eq. 2a ⃗rn+1/2 −⃗rn−1/2 ∆t ≈⃗vn =⇒ ⃗rn+1/2 = ⃗rn−1/2 + ⃗vn∆t, (5) where a subscript n denotes that quantity at time tn = t0 + n∆t, with t0 the initial time and n = 0; 1; 2; . . . , and it should be remembered that ⃗vn = ⃗un/γn. Boris (1970) suggested a decoupling of the electric and magnetic ﬁeld to solve Eq. 2b by ﬁrst applying half of the electric ﬁeld, then applying the rotation of the velocity vector by the magnetic ﬁeld and lastly applying the other half of the electric ﬁeld: ⃗u−= ⃗un−1 + q∆t 2m ⃗En−1/2 ⃗un+1/2 = ⃗u−+ f1⃗u−× ⃗Bn−1/2 (6a) ⃗u+ = ⃗u−+ f2⃗un+1/2 × ⃗Bn−1/2 ⃗un+1 = ⃗u+ + q∆t 2m ⃗En−1/2, (6b) where f1 = tan qBn−1/2∆t/2mγ−  /Bn−1/2, (7a) f2 = 2f1/  1 + (f1Bn−1/2)2 and γn = p 1 + (un/c)2, (7b) with ⃗En−1/2 = ⃗E(⃗rn−1/2; tn−1/2), ⃗Bn−1/2 = ⃗B(⃗rn−1/2; tn−1/2) and Bn−1/2 = |⃗Bn−1/2|. 2.1.1 An Approximation Since tan θ ≈θ to ﬁrst order in θ if |θ| ≪1, as should hold for a small time step, Eqs. 6a to 7b can be simpliﬁed (Birdsall & Langdon, 1991): ⃗u−= ⃗un−1 + q∆t 2m ⃗En−1/2 ⃗un+1/2 = ⃗u−+ ⃗u−× ⃗f1 (8a) ⃗u+ = ⃗u−+ ⃗un+1/2 × ⃗f2 ⃗un+1 = ⃗u+ + q∆t 2m ⃗En−1/2, (8b) where ⃗f1 ≈q ⃗Bn−1/2∆t/2mγ− and ⃗f2 = 2⃗f1/(1 + f 2


Estimation of physicochemical properties using WebTEST 2.0, a database centered modeling platform for building and deploying QSAR models email: martin.todd@epa.gov Overview of WebTEST 2.0 Martin, T1.; Ramsland, C.2; Charest, N.1; Lowe, C.1; Williams1, A. 1 US EPA/CCTE; 2 ORAU US EPA Disclaimer: The findings and conclusions in this poster have not been formally disseminated by the U.S. EPA and should not be construed to represent any agency determination or policy. WebTEST2.0’s database has the following schemas: Datasets, molecular descriptors, and QSAR methods can be versioned Schema Purpose exp_prop Raw experimental data qsar_datasets Datasets used for QSAR modeling qsar_descriptors Molecular descriptor values and QSAR ready SMILES qsar_models QSAR models, predictions, reports, and statistics QSAR Modeling Procedure Chemicals can be automatically mapped to DSSTox records using their source identifiers (name, CAS, SMILES) (or can be manually curated) Records are omitted if they have invalid molecular structures, property values, units, or experimental parameters A record for QSAR modeling consists of an identifier (e.g. QSAR ready smiles), the property value, and the molecular descriptor values WebTEST2.0 can generate Mordred, PaDEL, RDKit, ToxPrints, and WebTEST descriptors Using Python, WebTEST2.0 can develop random forest (RF), support vector machine (SVM), k Nearest neighbors (kNN), and consensus models Genetic algorithm (GA) feature selection can be used to tailor kNN models to specific datasets Physicochemical property data by source* Source HLC VP WS BP LogP MP Sum OChem 0 10241 17257 15365 38566 60424 141853 OPERA 694 2786 5074 5375 13549 8464 35942 Zang, et al 2017 N/A N/A N/A N/A 13798 N/A 13798 Open Melting Point Dataset N/A N/A N/A N/A N/A 11057 11057 PubChem N/A 0 2125 0 0 7896 10021 eChemPortalAPI 0 0 2129 0 0 5658 7787 AqSolDB N/A N/A 7374 N/A N/A N/A 7374 Sander 6322 N/A N/A N/A N/A N/A 6322 Kovdienko et al. 2010 N/A N/A 2593 N/A N/A N/A 2593 Bradley N/A N/A 2481 N/A N/A N/A 2481 QSARDB N/A 34 945 N/A 607 807 2393 Yalkowsky et al. 2002 N/A N/A 1017 N/A 691 N/A 1708 Oxford University Chemical Safety Data N/A N/A N/A 0 N/A 1205 1205 Tetko et al. 2001 N/A N/A 1103 N/A N/A N/A 1103 Lewis et al. 2016 N/A N/A 1065 N/A N/A N/A 1065 … Sum 7279 13680 44566 22118 67584 96009 251236 Property Property Range Parameter range Raw Mapped Flattened* HLC 1e-13<HLC (atm m3/mol)<1e2 20<T(C)<30 6.5<pH< 7.5 10521 7279 1910 VP 1e-14<VP(mmHg)<1e6 20<T(C)<30 34849 13680 3454 BP -150<BP(°C)<800 740 < P (mmHg) < 780 375470 22118 7061 WS 1e-14<WS(M)<100 1e-11<WS(g/L)<990 20<T(C)<30 740<P(mmHg)<780 6.5<pH< 7.5 82142 44566 9814 LogP -6<LogKow)<11 20<T(C)<30 107514 67584 14711 MP -250<MP(°C)<550 740 < P (mmHg) < 780 450775 96009 29513 * Number of records which can be mapped to DSSTox structures * Flattened records (one property value per structure) are used for modeling Physicochemical property data sets Modeling results Dataset knn rf xgb svm con HLC 0.70 0.81 0.82 0.80 0.82 VP 0.85 0.89 0.90 0.88 0.91 WS 0.76 0.82 0.82 0.82 0.84 BP 0.70 0.75 0.76 0.72 0.77 LogP 0.82 0.87 0.90 0.91 0.91 MP 0.65 0.74 0.76 0.76 0.77 Average 0.75 0.81 0.83 0.82 0.84 Q2_CV Dataset knn rf xgb svm con HLC 0.77 0.86 0.85 0.84 0.87 VP 0.87 0.90 0.92 0.89 0.92 WS 0.78 0.84 0.84 0.84 0.86 BP 0.74 0.76 0.77 0.72 0.78 LogP 0.84 0.89 0.91 0.93 0.93 MP 0.67 0.75 0.76 0.77 0.78 Average 0.78 0.83 0.84 0.83 0.86 R2_Test 2.0 HLC WS VP HLC WS VP Beta: https://www.epa.gov/chemical-research/cheminformatics QMRF Excel model summary Pred. report WebTEST2.0 Prediction report


GEODESIC NEIGHBORHOODS FOR PIECEWISE AFFINE INTERPOLATION OF SPARSE DATA Gabriele Facciolo and Vicent Caselles Departament de Tecnologies de la Informaci´o i les Comunicacions, Universitat Pompeu Fabra - Barcelona gabriele.facciolo@upf.edu, vicent.caselles@upf.edu Abstract We propose a new interpolation method for sparse data that al- lows incorporation of geometric information of a reference image u. The idea consists in deﬁning a geodesic Voronoi cell for each data sample, and ﬁt a model to interpolate inside each cell. A geodesic distance permits both: to effectively adapt the shape of the cells to the image structures; and to compute a set of neighboring samples that are used for ﬁtting a piecewise afﬁne model at each cell. Objective Interpolate a set of range measurements (LIDAR or sparse disparity data [1]) using the additional knowledge provided by a photograph u of the scene. Samples with known depth (5% of the total pixels). Reference image u. Interpolated samples. Lambertian hypothesis: a uniform surface with a constant angle has a constant inten- sity in the image. Allows to extrapolate information across uni- form regions of the image. Geodesic Voronoi Cells and Neighborhoods We use the geodesic distance to incorporate the radiometric information provided by the im- age u into the interpolation as in [2]. Reference Image u(x) : Ω→R+, with Ω⊂R2. Positions of the samples Λ ⊂Ω. Depth values of samples G(λ) : Λ →R, λ ∈Λ. Curve C(p) : [0, 1] →Ω, and Cs,t curve con- necting s and t. Geodesic distance between s and t measures the minimum variation of u between s and t d(s, t) = min Cs,t Z 1 0 |∇u · ˙Cs,t(p)| + ε| ˙Cs,t(p)|dp Observe: The shortest path is the one with less discontinuities of u along it. Geodesic Voronoi diagram of the sites in Λ, successfully accounts for discontinuities in the image. Geodesic neighborhood GNK(p) of the point p, is the set formed by the K-nearest (in the geodesic sense) samples of Λ to the point p. Samples in GNK(p) are likely to have the same model as p. Reference image Samples & Voronoi cells Geodesic Voronoi cells Geodesic Neighborhood Robust afﬁne plane interpolation using GNK Proﬁle: Linear blend of the 5 nearest (geodesic) samples Proﬁle: Afﬁne plane estim. using the same 5 samples For each point p ∈Λ we ﬁt an afﬁne plane trough GNK(p). Then we extended the plane to the entire cell, the initial piecewise afﬁne model H is the union of all the cells. If GNK(p) contains outlier samples (that do not belong to the same surface as p) then the result will be bi- ased. To remove these outliers we use a modiﬁed RANdom SAmple Consensus (RANSAC) [4]. Constrained region merging Problem: When interpolating noisy data • the model of each cell is independently estimated, • adjacent cells may end up with different models. Our solution: Merge adjacent regions with compati- ble models, and compute a common model to reduce noise effects. Result without merging Before merging After merging Simpliﬁed Mumford-Shah [5] minimizes E(B, f) = P R∈P(Ω) RErr(R, f) + λ R B g(s)ds, λ ≥0. • Error term: RErr(X, f) = P x∈X∩Λ |fX(x) −H(x)|2 H: the initial plane interpolation fX: the afﬁne model for the region X • Boundary lenght: g(s) is big at poorly contrasted bound- aries and small at well contrasted ones. • Also constrained by the segments of the original image [6]. • Greedy algorithm: merges pair of regions while the error term is small. Results Image Sample Positions Result model Regions Discussion • Method for interpolating range data that incorporates the geometric infor- mation provided by an image of the scene. • Geodesic neighborhoods constitute a fast and robust tool for modelling the local information, it can be adapted to other (non-afﬁne) models [3]. • Poor results for badly contrasted edges between strongly textured regions. More results at: http://gpi.upf.edu/static/geoint . References 1. N. Sabater, A. Almansa, and J-M. Morel, “Rejecting wrong matches in stereovision,” CMLA Preprint, 2008. 2. L. Yatz


Results: Baseline characteristics for the healthy study group: The LV myocardium was significantly thicker in all segments for men compared with women. Mean segmental LVMT were 5.4±0.8mm for women and 6.6±0.9 mm for men. By multivariate analysis, male gender, age, body surface area, systolic blood pressure, hard physical activity, and smoking were significantly associated with thicker LV myocardium. The LV showed same overall geometrical patterns for men and women. However, the LV of women where significantly more heterogenic. LV geometry: Women Men Background: Left ventricular hypertrophy is associated with cardiovascular complications and geometry is important for prognosis. Computed tomographic coronary angiography (CTA) is increasingly being accepted as a key diagnostic modality for the non-invasive detection of coronary artery disease. Precise imaging of the cardiac geometry is available as a spin-off from each CTA, without increasing the imaging time, radiation exposure, or administered contrast media to the patient. Contact: Louise Hindsø, Email: louisehindsoe@hotmail.com, Phone: +45 51948114 Methods: 4,295 participants from the Copenhagen General Population Study were randomly enrolled in a MDCT sub study and a CTA were performed in late diastole. We defined a healthy study group (n=805) by following exclusion criteria: [1] evidence of cardiopulmonary disease, [2] hypertension, [3] subjects taking prescription medications for cardiovascular disease [4] overweight defined as BMI ≥25, and [5] diabetes. Images were analyzed by semi-automatic computer software, Vitrea 6.3, and regional left ventricular thickness was assessed using the American Heart Association 17 segment Model. The 17th segment was excluded due to artefacts. LV geometry was illustrated, by dividing segmental thickness, in each individual segment, with mean overall thickness of the LV. Conclusion: The normal human heart was found to be morphologically heterogenic, and significantly more heterogenic for woman than men. This study provided gender specific reference values for regional LVMT and LV geometry, derived with MDCT in a healthy population. The aim of this study was to derive reference values of regional LV myocardial thickness (LVMT) and geometry, with the use of 320-detector computed tomography (MDCT). Moreover, we wanted to determine gender related differences. Regional left ventricular myocardial thickness and geometry – assessed with 320-detector computed tomographyin a healthy population in a healthy populationL Hindsø L Hindsø1,21,2, A Fuchs, A Fuchs11, T Kühl, T Kühl11, BG Nordestgaard, BG Nordestgaard3,43,4, L Køber, L Køber1,31,3, KF Kofoed, KF Kofoed1,21,21: Department of Cardiology, 1: Department of Cardiology, RighospitaletRighospitalet, University of Copenhagen, Denmark, University of Copenhagen, Denmark2: Department of Radiology, 2: Department of Radiology, RighospitaletRighospitalet, University of Copenhagen, Denmark, University of Copenhagen, Denmark3: 3: Faculty of Health Sciences, University of Copenhagen, Denmark 4: Department of Clinical Biochemistry, Herlev Hospital, University of Copenhagen, Denmark Characteristics Men (n=276) Women (n=529) P-value Age (years) 57 (10) 55 (9) 0.04 Height (cm) 180 (7) 167 (6) <0.01 Weight (kg) 75 (7) 63 (6) <0.01 BMI (kg/m2) 23 (1) 22 (2) <0.01 BSA (m2) 1.9 (0.1) 1.7 (0.1) <0.01 Systolic BP (mmHg) 128 (10) 125 (12) <0.01 Diastolic BP (mmHg) 77 (7) 76 (8) 0.23 Smoking Former 42 (15%) 77 (15%) 0.79 Current 115 (42%) 204 (38%) 0.38 Hard physical activity 53 (19%) 39 (7%) <0.01


XLII CONVEGNO NAZIONALE DELLA SOCIETÀ ITALIANA DI CHIMICA AGRARIA 35 Soil Abstract 102 A LIMING AGENT BY RECYCLING MOLLUSC SHELLS Dell''Orto M.*[1], Nisar S.[2], Overmo M.B.[3], Josué G.[2], Andreola C.[2], De Nisi P.[1], Tambone F.[1], Baldi C.[5], Føreid B.[4], Fatone F.[2], Adani F.[1] [1]Università degli Studi di Milano-Dipartimento di Scienze Agrarie e Ambientali ~ Milano ~ Italy, [2]Università Politecnica delle Marche ~ Ancona ~ Italy, [3]Norsk Landbruksrådgiving Nord Norge ~ Trofors ~ Norway, [4]Norsk Institutt for Bioøkonomi ~ Ås ~ Norway, [5]Co.Pe.Mo- Cooperativa Pescatori Molluschicoltori ~ Ancona ~ Italy The total EU fishery production amounted to around 4.5 million tonnes in 2022, of which 1.1 from aquaculture. This poses a challenge regarding the huge volume of wastes derived from seafood production and processing, in both economic and environmental terms. Anyway, these wastes contain valuable compounds that can be recovered in agriculture. The EU-funded SEA2LAND project, based on the circular economy model, explores the production of large-scale fertilisers in the EU from fishery and aquaculture wastes. In mollusc cultivation and fishery, the main waste is composed by shells, composed of CaCO3 and, at a lesser extent, of MgCO3, making them a promising source of liming agent for acidic soil correction. Several areas in Europe have low pH soils, due both to natural and anthropogenic processes, requiring lime distribution for agricultural production. Agricultural lime products are categorized as ‘EC Fertiliser Liming Materials’ in the EU Fertilizing Product Regulation (2022), the most used being ground limestone, dolomitic ground limestone, chalk, ground chalk, burnt lime and hydrated lime. However, although needed for soil quality and agricultural production, liming is often discarded due to its costs. The possibility to use waste products as liming agents allows to address both economic and environmental issues. The shellfish waste used in this work is a mixture of mussel, clam and murex shells discarded from a mollusc processing facility located in Ancona (Italy), whose production of discards accounts for about 1.4 ± 0.2 t·d-1. Waste was pre-treated by shredding the feedstock in the presence of water in a 1:3 (water: shellfish) ratio and the crushed shells (around 80% dry matter) were separated by gravity. The obtained shells were dried, milled and finally, sieved at 1 mm to obtain the liming agent with different particle sizes. These milled shells were first compared to reference liming agents (CaCO3 and CaO) in an incubation experiment to determine their effect on soil pH (UNI EN 14984:2006 method). Then the recycled liming agent was applied in two sites in northern Norway that needed liming, one with oceanic climate and one with more continental climate. The recycled liming agent was compared to conventional liming agent and no liming. Grass was sown at both sites. Results from the incubation trial suggest that the recycled liming agent has a high pH corrective power, similar to CaO and CaCO3. The results on soil pH and yield from the field trials will also be presented.


Lipase Activity Assay: Improvements to the Classical p-Nitrophenol Palmitate Spectrophotometrical Method Rafael Picazo Espinosa, University of Granada, Spain rafaelpicazo@hotmail.com Abstract Gupta's lipase activity assay is widely used for checking lipase activity of isolates from different sources (olive oil mill wastewaters, sludge from waste water treatment plants, dairy industry effluents, oil contaminated soils, etc) when seeking for biotechnological applications for lipolytic strains in biofuels production, cosmetics, food and even pharmaceutical industry. However, this assay shows several limitations when the study of lipase activity requires the use of different pH, organic solvents or temperature conditions for one single strain or the comparison of the activity levels of several strains. In the present study, several improvements have been realized so the lipase assay can be applied to the simultaneous study of lipase activity of several bacterial strains under different conditions of pH, temperature and presence of organic solvents. Studied strains' lipases showed different performances at different pH, solvents and temperature conditions, and the most interesting conditions for using the isolates for methanolysis and ethanolysis of fatty acids were determined. Particularly, Microbacterium sp. S18 and Proteus sp. S53 showed a better activity level at pH 5 in presence of methanol, while their performance was quite similar both in ethanol and methanol at pH 8. Besides, feasibility of studied lipases for their application in different biotechnological fields could be sugested from the activity levels in presence of most used organic solvents. Gupta's lipase activity assay limitations Lipase assay developed by Gupta and colaborators is based in an spectrophotometrical method to determine the lipase activity of a bacterial culture throw the quantification of the p-nitrophenol released by lipase enzymes from the substrate p-nitrophenol palmitate (pNPP) (Gupta, et al., 2002). In the normal assay, 1 ml of cell-free medium obtained by centrifugation of an overnight culture is mixed with 9 ml of substrate solution. This reaction mix is incubated at 30ºC for 30 minutes. The reaction is finished by incubation at 100ºC for 4 minutes before the spectrophotometrical determination. Improvements to the protocol Nevertheless, this lipase assay requires relatively long volumes of reagents and cultures, and the prolongated incubation time for each sample creates a bottleneck that reduces the applicability of the method to the study of multiple samples or multiple parameters. Besides, the assay has a low replicability because of p-NPP absorbance changes; as well as Triton X100, p-NPP and arabic gum emulsification problems when pH values are far from standard pH 8. Briefly, the changes made to the original protocol have been: 1.The buffer system includes citrate buffer to adjust pH 5-6, Sorensens' phosphate buffer to adjust pH 7-8, glycine-NaOH buffer to pH 9-10.4. Thus, pH of the reaction mix can be modified according to the needs of the study and the performance of the lipases can be analysed under pH conditions far from the standard and it is possible to make a more realistic prediction of the behaviour of the system where the enzyme will be deployed. 2.The emulsification problems have been fixed by directly disolving Triton X100 in isopropanol (200 µl/ml), resuspending the p-NPP directly with the obtained emulsifying solution (6.6 mg of p-NPP per ml of detergent solution) and suplementing the buffer with arabic gum (11 mg of arabic gum in 20 ml of buffer) prior to mixing it with the p-NPP-isopropanol-Triton solution. After incubating at the desired temperature for 45 minutes, absorbance at 410nm is readed in a microtiter reader. 3.The proportions of the different components of the reaction mix have been modified to improve the replicability and adapt the assay to 96 wells plates. Thus, 1 ml of TritonX100-isopropanol-p-NPP is added t


‘Storyboarding’ in the classroom Malizukiswe V. Vacu1, Craig Ehrenreich1, Nelisiwe Chonco1, Grace Aguti2, Xiangcong A. Luo3, Bianke Loedolff1† 1Faculty of AgriSciences, Stellenbosch University; 2Earth University; 3Faculty of Arts & Social Sciences, Stellenbosch University Professional Educational Development of Academics (PREDAC) 2019 vs. https://www.storyboardthat.com/ https://wordsearchlabs.com/view/108017 1 2 3 4 5 Ibhodi elixoxa indaba insiza-kufundisa exoxa indaba ngokusebenzisa izithombe engalekelela abafundi kuzona zonke izinhlaka emkhakheni wezemfundo. Isibonisi sezithombe sinika amandla imiqondo eyisisekelo esekwe kwisifundo ngasinye. Bobali othisha kanye nabafundi babamba iqhaza kulenqubo yokubekwa kwendaba ngezingxoxo eziqhubekayo egumbini lokufundela. Imiqondo nemibono ikhonjiswa ngendlela ebonakalayo ebhodini elixoxa indaba futhi ngokujwayelekile ingafaka (i) ukubuyekeza isihloko kanye nokwethulwa kwemibono ethuthukile ngaphakathi kwesihloko, (ii) izinjongo zokufunda, (iii) iskhathi sokuzilungiselela kwabafundi ngaphandle nangaphakathi kwegumbi lokufundela, (iv) izithiyo zokufunda kanye (v) nokuqonda imiqondo yokufunda eyinkimbinkimbi equkethwe. Abafundi baphonswa inselela yokuthola imqondo esemqoka ngaphakthi kwendida-magama, ukuxhumana kwawo amagama, nokukhuliswa kwemibuzo eyinselelo yengqikithi. Ukusetshenziswa kwamabhodi axoxa indaba kunika abafundi ithuba lokukhulisa amakhono abalulekile okucabanga nokudala futhi kunikeza abafundi inkundla yokusebenzisa nokuhlanganisa okuphokophelwe kulesosifundo. †Correspondence: bianke@sun.ac.za †Correspondence: bianke@sun.ac.za


KIT – The Research University in the Helmholtz Association First transmission of electrons and ions through the KATRIN beamline KATRIN collaboration 2018 JINST 13 P04020 Modeling of the response function of the KATRIN experiment J. Behrens and L. Schimpf for the KATRIN collaboration e e e e e Cyclotron radiation depends on pitch angle and z- position Asymmetric broadening of transmission function by amount of emitted cyclotron radiation We acknowledge the support of Helmholtz Association (HGF), Ministry for Education and Research BMBF (05A17PM3, 05A17PX3, 05A17VK2, and 05A17WO3), Helmholtz Alliance for Astroparticle Physics (HAP), and Helmholtz Young Investigator Group (VH-NG-1055) in Germany; Ministry of Education, Youth and Sport (CANAM-LM2011019), cooperation with the JINR Dubna (3+3 grants) 2017–2019 in the Czech Republic; and the Department of Energy through grants DE-FG02-97ER41020, DE-FG02-94ER40818, DE-SC0004036, DE-FG02-97ER41033, DE-FG02-97ER41041, DE-AC02-05CH11231, and DE-SC0011091 in the United States. Emission of cyclotron radiation Influence visible at 83mKr-campaign by broadening of lines up to 3% (see poster #13) Properties of the transmission function Electric and magnetic field studies Impact on 𝒎𝝂measurement Correction of cyclotron radiation compensates the systematic shift of Δ𝑚𝜈2 = −24.1 ⋅10−3 eV2 not to exceed the total error budget of 𝜎sys,tot = 0.017 eV2 Kassiopeia: a modern, extensible C++ particle tracking package Daniel Furse et al 2017 New J. Phys. 19 053012 Detailed magnetic and electrostatic simulations required for modeling of transmission function Δ𝐸 𝐸= 𝐵min 𝐵max ∼1 eV at 𝐸0 = 18.6 keV Analytical transmission function (isotropic source) defined by MAC-E filter properties 𝑇𝐸0, 𝑈a = 0 for 𝐸0 < 𝑞𝑈a 1 − 1 −𝐸0 −𝑞𝑈a 𝐸0 𝐵S 𝐵a for 𝑞𝑈< 𝐸0 < 𝑞𝑈a + Δ𝐸 1 − 1 − 𝐵S 𝐵max for 𝑞𝑈a + Δ𝐸< 𝐸0 Energy resolution Near future: Investigation by dedicated electron source (see poster #26) Response function is convolution of spectrum, transmission function and other systematics Field inhomogeneities in analyzing plane lead to radial dependencies (due to large spectrometer size) 𝑈a, 𝐵min computed by detailed simulations using full beamline with 3D main spectrometer geometry Impact on 𝒎𝝂measurement Correcting for radial dependencies compensates the systematic shift of Δ𝑚𝜈2 = +3.3 ⋅10−3eV2 (𝐵min) and Δ𝑚𝜈2 = −3.6 ⋅10−3eV2 (𝑈a) β Decay Spectrum, Response Function and Statistical Model for Neutrino Mass Measurements with the KATRIN Experiment Marco Kleesiek et al 2018 Analyzing plane of the MAC-E filter Comparison with measurement results from calibration sources (e.g. 83mKr) to validate simulation model (see poster #8) 𝐵min 𝐵max Analyzing plane Magnetic Field (T) 2 4 𝐵S 𝑈a Kassiopeia software package used for particle-tracking and field calcu- lations z in m (from center of WGTS) Pitch angle Θ 𝐸C in meV


MY MIDA JOURNEY ITN - N°813547 IDA Marie-Curie Skłodowska Actions Mohamed El-Moursi ESR 1 Paris


Ian Berry 1, Stanley Owocki 1, Matt Shultz 1, Asif ud-Doula 2 Abstract: σ Ori E is a prototypical magnetic B star with a rapid 1.2 day rotation period. Two dips in brightness can be seen in its photometric light curve, which was well fit by the Rigidly Rotating Magnetosphere (RRM) model. This model shows that if a star is rotating rapidly enough, then material will become trapped in the centrifugal magnetosphere (CM). However, this model only considers considers absorption and as such does not fully explain the light curve of σ Ori E. We must take emission into account as well. To do this, we examine the possibility of electron scattering from the CM being responsible for extra emission seen in σ Ori E’s photometric light curve. These initial results could provide insight into explaining photometric light curves of other magnetic stars measured by measured by TESS. 1 University of Delaware 2 Penn State Scranton 13 - 17 July 2020 MOBSTER-1 ₋ Rotation, winds & outflows Conclusion: For this poster we set out to examine if simple electron scattering could be responsible for extra emission previously unaccounted for in the predicted light curve of σ Ori E. So far the results, which indeed show extra emission from electron scattering are encouraging. In the future we will tune the results to σ Ori E, as well as to other stars observed by TESS via fine-tuning of the oblique rotator model parameters. Finally, we will incorporate these results into the RRM model. will incorporate these results into the RRM model. S = 0 Pure Absorption Figure 4. Bottom: Surface intensity plotted at the same four phases as Fig. 3, with emission in red. The black disk represents the star, with the red cloud showing occultation of the star by the CM. Top: Resulting light curves, for both the scattering source function case (solid curve) and a pure absorption model (dotted curve). Note the scattering flux exceeds the continuum (dashed line) by a few percent in the scattering case at phases phases 0.1 and 0.6. The arrow connects the relevant phases of the light curve to their associated surface brightness panels. Figure 2. Diagram showing how a CM can form if a star is rotating fast enough such that Rk < RA , as is the case with the 3D MHD simulations used in this model. S = J Instead of RRM, we use 3D-MHD simulations (see ud-Doula contributed talk on Friday for more details) with Rk=1.25 R* < RA = 5.5 R* , and magnetic obliquity angle β = 45 degrees. This gives us the associated 3D distribution of mass density in the CM above the Kepler radius. Ignoring material below the Kepler radius, we use this to synthesize light curves wherein electron scattering from the CM both reduces the brightness from the star, but but also provides extra emission from outside the stellar limb. The plot below shows electron scattering optical depth at four different rotational phases for an observer viewing the star at an inclination angle i = 45 degrees. Can Magnetospheric Scattering Explain Inferred Emission in Photometric Light Curves of σ Ori E and Magnetic Stars Observed with TESS? Figure 3. Surface plot of electron scattering optical depth τ for the 3D MHD model with a magnetic obliquity angle β = 45 degrees at four rotational phases and an inclination angle i = 45 degrees. The observer is looking directly down onto the magnetic pole during phases 0.5 and 1, and along the magnetic equator at phases 0.25 and 0.75 . The rotation axis is vertical. This gives us a visual representaion of material in the CM rotating around the sta star, which is not shown. Figure 1. The photometric light curve for σ Ori E, with the solid line being the predicted light curve from the RRM model and the diamonds being observations (Townsend et. al 2005). Extra emission can be seen at phase 0.6, denoted by the red circle. where µ* = (1-R2/r 2) 1/2 is the cosine of the angular size for the stellar radius R at circumstellar radius r. S = J = ์⁄ ๗ I * (1-µ*) (2) We compute the surface intensity I from


conservation of somatic cell replacement during early development of mouse female germline cysts Wanbao Niu, Allan C. Spradling HHMI lab, Department of Embryology, Carnegie Institution for Science Abstract In mice fetal ovary, Wnt4-expressing somatic cells we term "escort-like cells (ELCs)" in- teract with early developing cysts of both sexes. After E12.5, Lgr5+ pre-granulosa cells ingress from the ovarian surface epithelium, and our lineage tracing showed that they replace escort-like cells in the cortical region to establish the wave 2 granulosa cell pop- ulation supporting primordial follicles. In contrast, lineage marking of ELCs at E10.5 showed that early somatic cells are not heavily replaced in the medullar ovarian region that give rise to wave 1 follicles. Reflecting their distinct somatic cellular origins, second wave follicles were ablated by diptheria toxin treatment of Lgr5-DTR-EGFP mice at E16.5, while first wave follicles developed normally and supported fertility. These findings argue that somatic cell replacement in mice and Drosophila has been evolu- tionarily conserved, and while not essential, likely aids female gamete development. Figure 1 (A) In situ hybridization (ISH) analysis shows Wnt6 (blue) and Fmr1 (red) mRNA expression in the E14.5 ovaries. (B) Cellular localization of Id1 in E14.5 ovaries. Ovaries were stained for Id1, and the oocyte marker DDX4 at E14.5 by immunofluorescence. (C) Cellular localization of Gata4 in E14.5 ovaries by immunohistochemistry. (D) Electron micrograph of E14.5 ovary showing part of a germline cyst sur- rounded by ELCs (yellow asterisks). Squamous membranes of ELCs surrounding the germ cells are indi- cated by arrowheads. Figure 2 (A) Differentiation trajectory of E12.5, E14.5, and E18.5 ovary beginning with escort-like cells and epithelial cells and splitting into two branches (Gw1, Gw2) constructed by Monocle. Cell colored by the developmental state. (B) In situ hybridization analysis shows Wnt6 (blue) and Lgr5 (red) mRNA expres- sion in the E14.5 ovary. Lgr5+ pregranulosa cells were detected in the cortical but not in the deeper sub- regions. E14.5 Ovary wnt6 fmr1 E14.5 ovary wnt6 lgr5 F’ F’ F’’ F’’ Developmental State E12.5 E14.5 E18.5 Component 2 Component 1 0 5 -5 0.0 2.5 5.0 -2.5 Gw1 Gw2 Escort-like cells Epithelial cells Epithelial cells E10.5 E19.5 E12.5E15.5 P21 Tmx Analyze CreERT2 Crossing: Axin2CreERT2/+; R26RYFP/+ YFP Stop Axin2 Rosa26 } Cortex Medulla E12.5 10 μm Cortex Medulla E19.5 30 μm 10 μm YFP DDX4 DAPI DDX4 tdTomato DAPI P1 30 μm 30 μm 30 μm 20 μm E14.5 20 μm 20 μm 20 μm 10 μm WT-control Ddx4 DAPI (P21) WT-control Lgr5DTR/+ Lgr5DTR/+ Ddx4 DAPI (P5) 30 μm 30 μm 30 μm 30 μm 30 μm 30 μm 30 μm 30 μm WT-control Lgr5DTR/+ PrimordialPrimary Antral Number of follicles (P21) *** * NS Number of follicles (P5) *** NS Primordial Primary WT-control Lgr5DTR/+ E16.5 P5 P21 DT Analyze DTR-EGFP Lgr5 promoter (chromosome 10 in) 10 μm E14.5 Gata4 20 μm E14.5 A B C D A B B A C D E F A B C D 2 μm ELCs ELCs * * * * E13.5E14.5 E16.5 E18.5 P1 Tmx Analyze CreERT2 Crossing: Lgr5CreERT2/+;R26RtdT/+ tdTomato Stop Lgr5 Rosa26 } Number of labeled ELCs Number of labeled pre- granulosa cells Figure 3 (A-B) Schematic of ELC and surface granulosa cell trac- ing strategy. (C) Lineage tracing of Axin2+ escort-like cell proge- ny for E12.5 and E19.5 demonstrates that Axin2+ escort-like cells mainly contribute to the first wave follicles. (D) Lineage tracing of Lgr5+ surface-derived pregranulosa cell progeny demonstrates that surface pregranulosa cells mainly contribute to the cortical second wave follicles. (E-F) YFP labeled ELCs and tdTomato la beled cortical cells were quantitated. Results Discussion Figure 4 (A) Experimental strategy to ablate Lgr5-expressing cells using the Lgr5-DTR-EGFP mouse model. (B) Histological analysis of the ovary from wild-type mice and Lgr5DTR/+ animals at P5 and P21. (C-D) Follicle quantification in the ovary at P5 and P21 after DT administration at E16.5. N


Acknowledgments Το έργο «Μυθολογικές Διαδρομές στην Ανατολική Μακεδονία και Θράκη» έχει στόχο να αναδείξει τον πολιτισμικό πλούτο της Περιφέρειας Ανατολικής Μακεδονίας και Θράκης (Π.Α.Μ.Θ.) ως άξονα τουριστικής ανάπτυξης της περιοχής, με αφετηρία τη συστηματική καταγραφή, χαρτογράφηση και ανάδειξη των μύθων που αναφέρονται σε περιοχές της Π.Α.Μ.Θ. Το έργο υλοποιείται από το ΙΕΛ/Ε.Κ. Αθηνά-Παράρτημα Ξάνθης και το ΤΕΦ/Δημοκρίτειο Πανεπιστήμιο Θράκης. Το υλικό που συλλέχθηκε από την έρευνα αξιοποιήθηκε για την ανάπτυξη εκπαιδευτικής εφαρμογής που απευθύνεται σε διδάσκοντες και μαθητές όλων των βαθμίδων εκπαίδευσης. Εισαγωγή Μυθοτοπία, η εκπαιδευτική Εφαρμογή Συμπέρασμα Π. Καριώρης, Ά. Βακαλοπούλου, Γ. Γιαννόπουλος, Β. Γιούλη, Α. Δούπας, Ν. Μιχαηλίδου, Γ. Μούρθος, Ν. Μπικάκης, Π. Μποτίνη, Δ. Σαραφοπούλου, Ν. Σιδηρόπουλος, Γ. Σταϊνχάουερ, Δ. Τσιαφάκη, Χ.Φλούδα Ινστιτούτο Επεξεργασίας του Λόγου, Ερευνητικό Κέντρο ΑΘΗΝΑ {pkarior, avacalop, giann, voula, adoupas, amixaili, jmourthos, bikakis, pbotini, domna.sarafopoulou, nsidir, stein, tsiafaki, cflouda}@athenarc.gr Η εκπαιδευτική εφαρμογή περιλαμβάνει πρωτότυπα φύλλα εργασίας, σχέδια μαθημάτων, ασκήσεις και δραστηριότητες. Αυτά ανάλογα με το επίπεδο και την ηλικία των χρηστών, αξιοποιούν παιδαγωγικά τα αποτελέσματα της έρευνας στο πλαίσιο του έργου. Τα μαθήματα που καλύπτουν είναι η Γλώσσα, η Αρχαία Ελληνική Γλώσσα και Γραμματεία, η Ιστορία, η Πληροφορική, οι Ερευνητικές Δημιουργικές Δραστηριότητες, ο Ελληνικός και Ευρωπαϊκός Πολιτισμός. Στην Τριτοβάθμια Εκπαίδευση στα Τμήματα της Σχολής Κλασικών και Ανθρωπιστικών Σπουδών αλλά και σε άλλα σχετικά τμήματα καλύπτουν την Αρχαία Ελληνική και Λατινική Λογοτεχνία, την Ιστορία και άλλα. Μεθοδολογία Άλλα στοιχεία Παράλληλα με το ήδη υπάρχον υλικό, οι εκπαιδευτικοί μπορούν εύκολα να προσθέσουν δικά τους εκπαιδευτικά σενάρια και δικές τους δραστηριότητες και να σχεδιάσουν πρωτότυπο εκπαιδευτικό υλικό για τις ανάγκες των μαθητών ή των φοιτητών τους, βασισμένο στο πλούσιο πολυμεσικό υλικό της πλατφόρμας. Επίσης οι χρήστες – καθηγητές μπορούν να παρακολουθήσουν την πρόοδο των χρηστών - μαθητών τους μέσω δημιουργίας εκθέσεων. Δυνατότητες 1st Workshop on Human-Centric Sciences and Technologies in Greece | October 20, 2022, Xanthi, Greece Μέσα από την πλατφόρμα της εκπαιδευτικής εφαρμογής, η ΜΥΘΟΤΟΠΙΑ περνάει από τους μύθους στον τόπο και από εκεί ξεδιπλώνει πολλές λεπτομέρειες για κάθε πτυχή και κάθε άξονα ενδιαφέροντος. Τόσο το έργο από μόνο του όσο και ο τρόπος παρουσίασης του υλικού προσφέρονται για πρωτότυπες εκπαιδευτικές και διαδραστικές παρουσιάσεις. Το πλούσιο πολυμεσικό υλικό μπορεί να γίνει το μέσο για άπειρα εκπαιδευτικά σενάρια σε πολλά γνωστικά αντικείμενα ανάλογα με τη βαθμίδα εκπαίδευσης. Παράλληλα οι μύθοι μπορούν να αποτελέσουν την αφόρμηση για την προσωπική ανάπτυξη των μαθητών και στην καλλιέργεια κοινωνικών και συναισθηματικών δεξιοτήτων. Μέσα από το υλικό της ΜΥΘΟΤΟΠΙΑΣ ο εκπαιδευτικός μπορεί να σχεδιάσει ενότητες, σε συνδυασμό με το Αναλυτικό Πρόγραμμα Σπουδών, παρέχοντας στους μαθητές καινοτόμες και ενδιαφέρουσες δραστηριότητες. H εργασία αυτή υλοποιήθηκε στο πλαίσιο της Πράξης «Μυθολογικές Διαδρομές στην Ανατολική Μακεδονία και Θράκη» (MIS 5047101) που εντάσσεται στη Δράση «Υποστήριξη Περιφερειακής Αριστείας» και χρηματοδοτείται από το Επιχειρησιακό Πρόγραμμα «Ανταγωνιστικότητα, Επιχειρηματικότητα και Καινοτομία» στο πλαίσιο του ΕΣΠΑ 2014-2020, με τη συγχρηματοδότηση της Ελλάδας και της Ευρωπαϊκής Ένωσης (Ευρωπαϊκό Ταμείο Περιφερειακής Ανάπτυξης). Η διάρκεια του έργου είναι από 02/12/2020 έως 15/05/2023 Υπάρχει η δυνατότητα λήψης του υλικού καθώς και η εκτύπωσή του. εκπαιδευτική εφαρμογή: σενάρια εκπαιδευτική εφαρμογή: δραστηριότητες https://mythotopia.eu


References: EGP+ Mayorga et al. (2021) ApJ, PICASO Batalha et al. (2018) ApJ, NASA Exoplanet Archive. Further Reading: Robinson & Marley (2014) ApJ, Marley & McKay (1999) Icarus, Ackerman & Marley (2001) ApJ, Winn & Fabrycky (2015) ARA&A ⊕ 1 2 3 4 In the era of multi-method planet characterization, eccentric planets offer the opportunity to holistically understand a planet’s atmosphere. The time-variable radiation deposited in the atmosphere of an eccentric planet induces variations in the thermal and chemical structure that may be detectable with current and future missions. Using EGP+, we explore a grid of cloudless atmospheres to ascertain the dominant variables that control atmospheric response to periastron passage and predict observable features indicative of their response. Our preliminary grid (★) explores: orbital period, eccentricity, stellar effective temperature, and planet gravity, resulting in 48 model giant planets. Overview A year in the life of an atmosphere… 1 At apastron the planet is cold and in equilibrium Cloud decks may be found 2 The planet begins to heat up Cloud decks shift upwards and begin to evaporate 3 The planet is rapidly heated Only the hottest condensates remain, if any 4 The planet begins to cool Clouds begin to reform Planet’s Orbit Direct Imaging Occulted Region Direct Imaging High-Res Ground-Based Spectroscopy Primary Transit Secondary Eclipse Observed by… Chemical Responses in the Atmosphere I’m actually an animation! Please scan me! With PICASO, we can explore where each chemical species has the most dominant effect on the observed spectrum as brought on by changing temperatures. We track gasses such as methane, carbon monoxide, carbon dioxide, water, and ammonia as well as high temperature oxides and alkalis. A. The planet-star flux ratio B. The flux ratio with an equilibrium temperature blackbody removed to highlight chemical changes, rather than temperature changes C. The temperature-pressure profile as the planet progresses through each orbital location (inset) D. The pressure level at which the chemical species would make the atmosphere optically thick E. The abundance profiles of the chemical species A B C D E Future developments to EGP+ include enabling self-consistent clouds. The addition of cloud opacity could drastically change the resulting spectra! As the planet approaches periastron, the atmosphere heats, altering the behavior of clouds. Cloud decks may shift upwards, or they may become cold trapped below the observable region of the atmosphere until the planet sufficiently cools at the lowest pressures. Adding Clouds Observational Signatures of Atmospheric Variability Laura Mayorga1, J. Lustig-Yaeger1, M. Marley2, T. Robinson3, K. Stevenson1, E. May1 1Johns Hopkins University Applied Physics Laboratory, 2Lunar and Planetary Laboratory, 3Northern Arizona University Eccentric Giant Planets laura.mayorga@jhuapl.edu


FBN / Wilhelm‐Stahl‐Allee 2 / 18196 Dummerstorf / www.fbn‐dummerstorf.de Wer? Wo? Zum Einfluss des Zuchtziels auf die Lernfähigkeit und Verhaltensflexibilität von Ziegen – erste Ergebnisse Christian Nawroth1, Katrina Rosenberger2, Nina Keil2, Jan Langbein1 1 Leibniz‐Institut für Nutztierbiologie, Institut für Verhaltensphysiologie, Dummerstorf 2 Bundesamt für Lebensmittelsicherheit und Veterinärwesen, Zentrum für tiergerechte Haltung: Wiederkäuer und Schweine, Agroscope Tänikon, Ettenhausen Zuchtziele (z.B. Milchleistung) können indirekt Physiologie und Verhalten von Nutztieren beeinflussen (Rauw et al., 1998) Ressource Allocation Theory: Energie in Produktion lässt weniger Energie für andere Merkmale (Schütz & Jensen, 2001) Bisher ist wenig bekannt, inwiefern Zucht auf Leistung auch kognitive Parameter beeinflusst Wir verglichen die Lernleistung und ‐flexibilität von Zwerg‐ (geringe Milchleistung, extensive Nutzung) und Milchziegen (hohe Milchleistung, intensive Nutzung) anhand einer visuellen Diskriminierungsaufgabe sowie einer Umkehrlernaufgabe. Wie? Diskriminierungsaufgabe Umkehrlernaufgabe 8 Zwergziegen 9 Milchziegen Zwerg‐ und Milchziegen unterschieden sich nicht in ihrer Geschwindigkeit, eine Diskriminierungsaufgabe zu lernen Zwergziegen waren tendenziell schneller als Milchziegen, eine Umkehrlernaufgabe zu lernen Die Geschwindigkeit zum Lernen einer visuellen Diskriminierungsaufgabe korrelierte mit der Leistung in einer folgenden Umkehrlernaufgabe @GOATSTHATSTARE Beispielvideo  Anzahl Sessions bis zum Lernkriterium für Zwerg (dunkelgrau)‐ und Milchziegen (hellgrau) (t‐test, Diskriminierungsaufgabe: t8 = 0,870; P = 0,40; Umkehrlernaufgabe: t8 = 2,050; P = 0,058) Anzahl Sessions bis zum Lernkriterium für Diskriminierungs‐ und Umkehrlernaufgabe (Spearman Rangkorrelationstest) P = 0,058 P = 0,40 R2 = 0,58 P = 0,033 Versuchsaufbau NAWROTH@FBN‐DUMMERSTORF.DE CHRISTIAN.NAWROTH.WORDPRESS.COM DU WILLST MEHR WISSEN? GEFÖRDERT DURCH Einleitung Ergebnisse Zusammenfassung Methoden vs. 20 Sessions mit je 12 Trials Lernkriterium: 2 x 10/12 Trials korrekt


Canonical X-Ray Fluorescence Line Intensities as Column Density Indicators in X-Ray Binaries Roi Rahin and Ehud Behar Department of Physics, Technion, Haifa 32000, Israel X-ray line fluorescence is ubiquitous around powerful accretion sources, such as X-ray binaries. The brightest and best-studied line is the Fe Kα line at 6.4 keV, but the Kα lines of other elements hold essential information about the source. We present a survey of well-measured Chandra/HETG grating spectra featuring several Kα fluorescence lines from elements between Mg and Ni. We identify a common trend that dictates the Kα line intensity ratios between elements. The line intensities are well described by a simple, plane-parallel approximation of a near-neutral, solar-abundance, high column density (> 1024 cm−2) medium. We interpret deviations from these intensity ratios as due to excess column density along the line of sight beyond the Galactic column. Specifically for Vela X-1 and GX 301-2, our method shows phase-dependent estimates of the excess column, which sheds light on the varying environment of the binaries as the system rotates. In GX 301-2, we can differentiate between the excess obstruction on the line of sight towards the ambient ionized gas and the neutral fluorescing medium. Conclusions Several conclusion follow from our analysis: • Kα intensity ratios between elements follow similar trends in most sources, except for a few cases in which the lower-Z lines (Mg, Si) are reduced by orders of magnitude. • For the most part, the relative Kα intensities follow a simple plane-parallel approximation of a dense, near-neutral optically thick medium. • The reduced Kα intensities in the low-Z elements is explained satisfactorily and self-consistently by excess column density along the line of sight. This excess column is corroborated by independent measurements • Kα intensity ratios thus can be used to measure ambient column density in the X-ray binary system Excess column density and canonical values X-ray Fluorescence Relative Line Intensities The relative intensities of X-ray fluorescence lines are derivable from fundamental physics under a few simple assumptions. Using a simple plane-parallel approximation, we derive line intensities using only the source spectrum I, the elemental abundances AZ, the fluorescence yield ωKα, and the reflector column density. By assuming an optically thick reflecting medium, we reduce the dependency to be on the source spectrum, abundances, and fluorescence yield. The resulting expression is: We compare the relative intensities derived from this model to observations. The figures clearly show a discrepancy that is more pronounced for low-Z elements. Notice especially GX 301-2, where disparity of two orders of magnitude is visible for Si. Another discrepancy is between different Vela X-1 phases, where it is clear the abundances cannot change, and the source spectrum is unlikely to change drastically. The model gives a good fit for NGC 1068 and MRK 3, implying a missing ingredient in the model for the other sources. We find excess line-of-sight column density as a possible solution. Top: relative intensities of Kα fluorescence lines originating from different column densities of the fluorescing medium. Bottom: relative intensities for different power-law indices for an optically thick medium Relative intensities of Kα fluorescence lines for an optically thick medium compared to actual observations from various sources. Relative flux of Kα fluorescence lines compared to theoretical values after excess column density correction. The green line in the bottom figure corresponds to a finite reflector medium with 𝑁𝐻= 2 × 1023cm−2 We propose a simple explanation for the relatively weak low-Z lines. Since the deficiency is Z- dependent, excess line-of-sight column density beyond the Galactic column could explain the observed ratios. If this explanation is correct, a single column density value must account for the quenching of a


Stella Thoben, Franziska Weng, Thilo Paul-Stueve Kiel University Service Centre Research, IT and strategic Innovation, Computing Centre and University Library https://www.synfo.uni-kiel.de Synergy Creation on the Operational Level of Research Data Management Procedures Work flows for a cross-institutional research data management Model cooperation agreements Legal basis for the implementation of procedures infrastructurally Policy drafts Binding regulations for cross-institutional research projects In the first work package of the project, a survey on research data management practice of the researchers of universities and other institutions in Schleswig- Holstein was conducted. First results show demand for storage solutions, legal and technical advice by over 50% of the respondents, while most respondents publish research data and software code without a license specification. Project SynFo Organisational  Workflows  Involved parties  Responsibilities Legal  Authorship  Right of use  Data protection  Licenses Technical Data- and metadata formats Protocols Access Different Scientific Cultures ■Disciplines ■Institutions Research data management takes place under complex organisational framework conditions, especially in research associations, such as CRCs, forms of Excellence Initiative, BMBF or EU projects. Not only can researchers from one institution be involved in several alliances and thus be subject to different data management plans for identical data sets. A majority of cooperating institutions with their own institutional or superior guidelines and strategies for research data management are often involved in a research network. Each type of research institution is characterized by its institutional and scientific culture; it has a specific mandate due to the sponsoring and is usually associated with other research institutions in an umbrella organisation. This can lead to different or even contradictory data management policies and plans within one research alliance. The combination of an increasing proportion of transdisciplinary research with very different types of research data and the often formulated requirements for structured data management thus creates a difficult situation for researchers and providers of data management infrastructures. The project is therefore to develop a researcher-centric solution for a pragmatic research data management. Based on an evaluation of concrete organizational and technical implementations in various institutions involved in a research network, the commonalities are revealed in structural and legal context. The aim is to define organisational and technical interfaces and, where possible, to harmonise data management for researchers. The research location Kiel is predestined for this project: due to the diversity of research subjects at the Kiel University (Christian-Albrechts-University of Kiel; CAU) as the only full University of the state of Schleswig-Holstein, there are partly overlapping research data management cooperations with non-university institutions such as Helmholtz institutes (notably GEOMAR and Geesthacht), Leibniz institutes and service facilities (such as IfW, IPN, ZBW, Research Centre Borstel) or the Max Planck Institute for Evolutionary Biology in Plön; all institutions maintain close cooperation with the CAU and with each other. Example Workflow Possible results for a cross- institutional perspective can be harnessed as a basis for cross-cutting, synergetic services in the form of procedures, model cooperation agreements, and corresponding policy drafts for collaborative projects. Kiel Marine Science Kiel Life Science Societal, Environmental and Cultural Change Kiel Nano Surface & Interface Science SFB 1182 J o h a n n a M e s t o r f A c a d e m y Zentrum für Baltische und Skandinavische Archäologie Research Landscape at Kiel – CAU Perspective Project SynFo is sponsored by the German Ministry of Education and Research (BMBF). The results of th


0 200 400 600 800 1000 1200 CPU Time cg-pc_uw-no_scale cg-bfbt-scale cg-pc_uw-no_scale-unpcnorm fgmres-bfbt-scale fgmresR-upper-K_inexact-pc_uw-scale gmresR-upper-K_inexact-bfbt-scale gmresR-upper-K_inexact-pc_uw-no_scale gmresR-upper-K_inexact-pc_uw-scale [Citcom style] Comparison of preconditioned iterative methods applied to Stokes flow 0 200 400 600 800 1000 1200 CPU Time cg-pc_uw-no_scale cg-bfbt-scale cg-pc_uw-no_scale-unpcnorm fgmres-bfbt-scale fgmresR-upper-K_inexact-pc_uw-scale gmresR-upper-K_inexact-bfbt-scale gmresR-upper-K_inexact-pc_uw-no_scale gmresR-upper-K_inexact-pc_uw-scale [Citcom style] Comparison of preconditioned iterative methods applied to Stokes flow 0 200 400 600 800 1000 1200 CPU Time cg-pc_uw-no_scale cg-bfbt-scale cg-pc_uw-no_scale-unpcnorm fgmres-bfbt-scale fgmresR-upper-K_inexact-pc_uw-scale gmresR-upper-K_inexact-bfbt-scale gmresR-upper-K_inexact-pc_uw-no_scale gmresR-upper-K_inexact-pc_uw-scale [Citcom style] Comparison of preconditioned iterative methods applied to Stokes flow Quasi 2D problem Fast healing Slow healing Strong softening Blue paint Shear bands Plastic layer Velocity boundary conditions Periodic boundary conditions Velocity boundary conditions Motivation We are interested in exploring how the knowledge of shear- band spacing from 2D (and 3D) extension — see ﬁgure M1 — models carries over to transform environments. The experimental setup is a simple 2 layer box with plastic material over a viscous substrate — ﬁgure M2 — to which simple-shear boundary conditions are applied. The shear bands that form are relatively stable to further deformation because of the geometry involved and so we can watch how the population of structures evolves knowing that the effects of block rotations are minimal. We can also look at quasi 2d experiments (thin boxes) to further simplify the analysis of the results. Low contrast High contrast 2 3 7 6 3 6 6 8 8 8 9 3 4 4 5 6 7 7 0 1 2 3 4 5 h i 0 2 4 6 8 10 12 number of faults along 160 km ! = cst rh = 0.5 rh = 0.4 rh = 1.0 r" = 1.0 wf = 0.1 Wijns et al M1 M2 DI31A-1779 V∥ V↑ Softening rate Weak lower layer Strong lower layer Very strong lower layer 0 0.5 1 1.5 2 2.5 0 100000 200000 300000 400000 FAST: Viscous layer FAST: Plastic not failed FAST: Plastic failed SLOW: Viscous layer SLOW: Plastic not failed SLOW: Plastic failed 0 0.5 1 1.5 2 2.5 0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 FAST: Deep shear bands FAST: Shallow shear bands SLOW: Deep shear bands SLOW: Shallow shear bands V∥ Softening rate 3D Shear band vol Dissipation


Characterization, modification and applicability of an in vitro placental transfer assay for screening purposes P92 Caroline Gomes*; Catharina W. van Dongen; Barbara Birk; Eric Fabian; Julian Doersam; Bennard van Ravenzwaay; Robert Landsiedel Experimental Toxicology and Ecology, BASF SE *Contact: caroline.a.gomes@basf.com Ø Alternative methods to animal testing are being developed to address developmental toxicity and the placental transfer is essential to determine the potential embryo toxic effects of a substance. Ø The objective of this study was to improve and characterize the methodology of this model, and to assess the placental transfer of 7 substances to assess the model applicability. Introduction Figure 1. Schematic overview of in vitro BeWo transfer assay. Ø An in vitro placental transfer assay using the human trophoblastic cell line, BeWo b30 clone, has been developed using a transwell system (Figure 1) and showed good correlations with ex vivo data1,2 Methodology BeWo cells b30 clone (Addexbio, USA) were cultivated in the “regular condition” which refers to the methodology described in literature1. An optimization was tested to avoid refreshing the cell culture medium every day (Figure 2). The parameters used to check the barrier integrity, cell growth or cytotoxicity of the control substances are summarized in Figure 2. The Papp values were calculated by the equation: !"## (%&/() = ∆,/∆- .∗01 where ΔQ is the amount of compound entered in the basolateral compartment (nmol), Δt is the time (seconds) of the transfer experiment, A is the cell surface area in cm2 of the insert and C0 the exposure concentration (µM). Figure 2. Methodology scheme of the in vitro placental transfer using the BeWo b30 cell line. The parameters assessed overtime or at the testing transfer day (day 6) are numbered from 1 to 4. Fluorescein was measured by spectrophotometer. Amoxicillin and antipyrine were determined by LC-MS analysis at Pharmacelsus GmbH, we are grateful to Dr. Ursula Müller-Vieira. TEER: trans-epithelial electrical resistance. WPI: World Precision Instruments (USA). Results: characterization and optimization Figure 3. TEER measurements of BeWo b30 cell layer from day 3 to day 7 after seeding (A). Fluorescein transfer in the in vitro placental transfer model from day 3 to 7 after seeding (B). Data are shown as mean ± standard deviation of triplicates per experiment. Substance Ex vivo placental transfer index In vitro placental transfer Relative Papp Papp (10-6 cm/s) Recovery (%) Acyclovir 0.327 0.41 18 ± 1.2 128 Caffeine 0.958 1.34 59 ± 11 103 Cimetidine 0.469 0.30 13 ± 0.9 109 0 10 20 30 40 50 60 70 2 3 4 5 6 7 8 TEER (Ω·cm2) Days (post-seeding) 0 2 4 6 8 10 12 14 16 18 20 2 4 6 8 Papp value (x10-6 cm/s) Days (post-seeding) Run 1 - Regular Run 1 - Optimized Run 2 - Regular Run 2 Optimized Run 3 - Optimized 15 25 35 45 55 65 Papp value (x10-6 cm/s) Antipyrine Li et al., 2013 (1) Li et al., 2015 (3) Li et al., 2016 (4) Kloet et al., 2015 (5) Strikwold et al., 2017 (6) Run 1 - Regular Run 1 - Optimized Run 2 - Regular Run 2 - Optimized Run 3 - Optimized Results: model applicability Methodology The applicability of the model was assessed by: a) Comparing the in vitro relative Papp values of 3 substances (caffeine, acyclovir and cimetidine) with data from the ex vivo human placental transfer assay in the optimized condition b) Assessing the in vitro placental transfer of 4 azoles (difenoconazole, flusilazole, miconazole and triadimefon) in the regular condition R² = 0,9913 R² = 0,5991 R² = 0,9945 R² = 0,9742 0 2 4 6 8 10 0 20 40 60 80 100 Basolateral amount (nmol) Time (minutes) Flusilazole Miconazole Difenoconazole Triadimefon 0 5 10 Papp value (x10-6 cm/s) Amoxicillin Regular Optimized Whole insert Diverse layers Uniform layers Figure 4. Papp values of the permeability controls, Antipyrine and Amoxicillin, determined at day 6 (at 60 minutes) in the in vitro placental transfer model compared to literature. Data are shown as mea


3 REASONS WHY DOAJ MATTERS 4 WAYS DOAJ MAKES AN IMPACT 5 REASONS WHY JOURNALS WANT TO BE IN DOAJ THE FACTS ABOUT DOAJ INCREASED SITE TRAFFIC GREATER VISIBILITY PROMOTION PRESTIGE OPEN ACCESS CERTIFICATION Many aggregators and databases and hundreds of library catalogues use our metadata in their products. This includes Scopus, Serial Solutions and Ebsco. We have established standards and best practice for open access journals and publishing. DOAJ is the most important community-driven, open access service in the world.* Open access publication funds often require DOAJ indexing to release funding. *http://www.knowledge-exchange.info/event/oa-dependencies helps publishers to serve authors better helps publishers to adopt best practice and make journals more attractive publishing channels Operates globally via a network of Ambassadors and volunteers Indexing in DOAJ increases traffic to journal sites and visibility of content doaj.org


RESEARCH POSTER PRESENTATION DESIGN © 2019 www.PosterPresentations.com Sustainability Issues: • Each ton of cement production-one ton of carbon-dioxide, 1 kg of sulphur dioxide (SO2), 2 kg oxides of nitrogen (NOx) and 10 kg dust into the atmosphere (Zhang et al., 2018) • Shortage of Landfill sites Optimum Solution: Geopolymer concrete (GPC)- novel form of concrete, synthesized by the alkali activation of source materials (aluminosilicate rich materials) ( Davidovits, 1991). On Site Feasibility Problems: • Highly corrosive alkaline solution-based reagents • Heat Curing Feasible Solution: Dry Mixing Technique • Powder-based reagents: required in less quantity • Source Materials: aluminosilicate rich materials • No need of heat curing Geopolymerisation (Komnitsas, 2011) IINTRODUCTION OBJECTIVE RESULTS AND CONCLUSIONS • The mix combination (M1A2) achieved the highest compressive strength of 64.2 MPa at 56 days. • The mix M1A1 exhibited a comparable compressive strength of 55.45 MPa at 56 days and higher slump flow than mix M1A2. • The initial and final setting time of the mix M1A1 was determined to be as 119 minutes and 259 minutes respectively. • M1A1 was designated as the best performing mix based on slump flow and compressive strength characteristics. REFERENCES Zhang, J., Zhang, P., Zheng, Y. and Wang, K. 2018. A review on properties of fresh and hardened geopolymer mortar. Composites Part B, Volume 152. Davidovits, J. 1991. Geopolymers. Journal of Thermal Analysis, 37(8):1633–1656. Li, V. C., & Kanda, T. (1998). Engineered Cementitious Composites for structural applications. Journal of Materials in Civil Engineering, 10(2), 66–69. Komnitsas, K. A. (2011) ‘Potential of geopolymer technology towards green buildings and sustainable cities’, Procedia Engineering, 21, pp. 1023–1032. doi: 10.1016/j.proeng.2011.11.2108. Standard Test Method for Compressive Strength of Hydraulic Cement Mortars (Using 2-in. or [50-mm] Cube Specimens)1’ (ASTM, 2016). doi: 10.1520/C0109_C0109M-16A. Standard Test Method for Flow of Hydraulic Cement Mortar 1’ (ASTM, 2015). doi: 10.1520/C1437 Designation: C191 − 18a Standard Test Methods for Time of Setting of Hydraulic Cement by Vicat Needle 1’ (2018). doi: 10.1520/C0191-18A. ACKNOWLEDGEMENTS • CRH Canada • ATCO Power • WESTLAB Canada • NSERC • Develop cement free binder for the production/development of sustainable engineered composites. • Geopolymer Technology (Si2O5.Al2O2) n + H2O + OH- →Si(OH)4 + AL(OH)4- Si(OH)4 + AL(OH)4 →(-Si-O-Al-O-)n + 4H2O Department of Civil Engineering, Ryerson University Sood, D., Krisht, J. and Hossain, K.M.A. DEVELOPING GEOPOLYMER COMPOSITES USING DRY MIXING TECHNIQUE EXPERIMENTAL WORK Binder* Mix Design ation** Activator Activator/ Binder Activator component ratio Water/Binder HRWRA*** FA(C)+ GGBS M1A1 Ca(OH)2+ Na2SiO3.5H2O 0.09 Na2SiO3.5H2O/ Ca(OH)2=2.5 0.35 0 M1A2 Ca(OH)2+ Na2SO4 0.12 Ca(OH)2/ Na2SO4=2.5 0.35 0.01 FA(F)+ GGBS M2A1 M2A2 Ca(OH)2+ Na2SiO3.5H2O Ca(OH)2+ Na2SO4 0.09 0.12 Na2SiO3.5H2O/ Ca(OH)2=2.5 Ca(OH)2/ Na2SO4=2.5 0.3 0.35 0 0 GGBS M3A1 M3A2 Ca(OH)2+ Na2SiO3.5H2O Ca(OH)2+ Na2SO4 0.09 0.12 Na2SiO3.5H2O/ Ca(OH)2=2.5 Ca(OH)2/ Na2SO4=2.5 0.35 0.35 0 0.02 Figure 3-(a) slump flow spread, (b) setting time test, (c) compressive strength test 0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 Compressive Strength (MPa) Days M1A1 M1A2 Linear (M1A1) Linear (M1A2) 0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 Compressive Strength (MPa) Days M3A1 M3A2 Linear (M3A1) Linear (M3A2) Figure 4- (a) Influence of two types of activators on mix-1, (b) Influence of two types of activators on mix-3 0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 Compressive Strength (MPa) Days M2A1 Linear (M2A1) 0 10 20 30 40 50 60 70 0 10 20 30 40 50 60 Compressive Strength (MPa) Days M1A1 M2A1 M3A1 0 10 20 30 40 50 60 70 80 0 10 20 30 40 50 60 Compressive Strength (MPa) Days M1A2 M3A2 Linear (M1A2) Linear (M3A2) Figure 5- Effect of activator on different source materials (a) A1, (b) A2 0 1 2 3 M1A1 M2A1 M3A1 Re


DISCRIMINATION M: 2.5 % N: 48 EDUCATION M (sum): 20.6 %; N: 57-59 M (qt.): 9.8 %; N: 57 M (ql.): 11.0 %; N: 59 Expert Opinion on the Causes of International Differences in Intelligence - 2013 Survey of Expert Opinion on Intelligence David Becker Department of Psychology Chemnitz University of Technology, Germany david.becker@s2009.tu-chemnitz.de Heiner Rindermann Department of Psychology Chemnitz University of Technology, Germany heiner.rindermann@psychologie.tu-chemnitz.de Thomas R. Coyle Department of Psychology University of Texas at San Antonio, USA thomas.coyle@utsa.edu GENES M: 15.3 % N: 60 WEALTH M: 8.8 % N 59 CULTURE M: 7.2 % N: 58 POLITICS M: 5.2 % N: 51 MIGRATION M: 3.9 % N: 45 TEST BIAS M: 3.2 % N: 49 HEALTH M: 10.0 % N: 59 MODERNIZATION M: 7.6 % N 54 TEST KNOWLEDGE M: 5.7 % N: 54 SAMPLING ERROR M: 4.0 % N: 49 GEOGRAPHY M: 3.4 % N: 53 CURRENT CLIMAT M: 2.5 % N: 52 1. Mean rating of the causes of InatD in cognitive ability and intelligence. 3. Qualitative and quantitative education as causes of InatD. [Red: quant. edu.; blue: qual. edu.; figures in %] FINLAND 0 2 4 6 8 10 12 14 16 18 ROMA (GYPSIES) M(qt.): 13.8; N: 50 M(ql.): 14.0; N: 49 ISRAEL M(qt.): 9.1; N: 34 M(ql.): 10.9; N: 36 0 2 4 6 8 10 12 14 1 6 1 8 0 2 4 6 8 10 12 14 1 6 1 8 2. Genes as causes of InatD. [M in %] FINLAND M: 13.6 N: 48 SOUTH EUROPE M: 16.8 N: 48 LATIN AMERICA M: 17.0 N: 40 SUB-SAHARA M: 16.5 N: 49 ARAB.-MUSLIM M: 17.0 N: 42 EAST-ASIA M: 17.9 N: 49 ROMA (GYPSIES) M: 20.0 N: 40 ISRAEL M: 19.4 N: 38 JEWS (in Western world) M: 23.9 N: 44 IMMIGRANTS (from Middle East in Western world) M: 21.6 N: 37 4. Identified deviations in rating of the causes of InatD (≥ 3%). SUB-SAHARA +2.6 (minor dev.) M:13.2 17.3 N: 45 48 SOUTH EUROPE 0 2 4 6 8 10 12 14 16 18 M:10.7 14.6 N: 39 42 LATIN AMERCIA 0 2 4 6 8 10 12 14 16 18 M:12.9 14.7 N: 39 42 SUB-SAHARA 0 2 4 6 8 10 12 14 16 18 M:11.2 11.9 N: 47 47 ARAB.-MUSLIM 0 2 4 6 8 10 12 14 16 18 M:12.5 14.0 N: 41 42 EAST-ASIA 0 2 4 6 8 10 12 14 16 18 M:16.0 14.2 N: 50 49 JEWS (in Western world) M(qt.): 12.0; N: 39 M(ql.): 13.2; N: 41 0 2 4 6 8 10 12 14 1 6 1 8 IMMIGRANTS (from Middle East in Western world) M(qt.): 12.0; N: 35 M(ql.): 13.0; N: 36 0 2 4 6 8 10 12 14 1 6 1 8 Introduction This poster examines expert opinions on the causes of international differences (InatD) in cognitive ability and intelligence using responses from a larger survey (overview of the 2013 Survey of Expert Opinion on Intelligence presented in Rindermann et al. at ISIR 2013). The survey of expert opinions consisted of 62 main questions with follow-up questions and space for comments. Experts were sampled from publications (including the journals Intelligence and Cognitive Psychology) on intelligence, cognitive abilities, and student achievement. Notice of the study was emailed to ISIR members and posted to the ISSID homepage, and colleagues were asked to inform other researchers of the study. Only people who received a participation code could participate. The poster is divided into four parts. Part 1 presents expert opinions on the causes of international differences. Parts 2 and 3 present opinions on the two as most important rated factors, on influences of genes, and on qualitative (ql.) and quantitative (qt.) aspects of education, both in different regions and groups. Part 4 presents regional and group-related deviations from the general average in expert ratings. All sections report mean expert ratings in percentages (M in %), and the number of responses (N). 14th ISIR Conference, Melbourne, Australia, December 12-14, 2013 Reference: Rindermann, H., Coyle, T. R. & Becker D. (2013). 2013 survey of expert opinion on intelligence. Presented at the 14th ISIR conference, Melbourne, Australia, December 12-14, 2013. JEWS (in Western world) +8.6 +8.0 +9.0 +6.3 IMMIGRANTS (from Middle East in Western world) FINLAND ql. qt. +6.4 +3.4 EAST-ASIA +6.7 qt. +6.2 ql. +3.2 SOUTH EUROPE ql. +4.8 +4.6 +3.6 ARAB.-MUSLIM +7.0 +3.9 LATIN AMERICA +3.8 ql. +3.7 q


U.S. Environmental Protection Agency Office of Research and Development Influence of Transcriptomic Descriptors on the Generalized Read-Across (GenRA) Performance T. Tate.1, G. Patlewicz1, J. Wambaugh1, I. Shah1 1Center for Computational Toxicology and Exposure, US Environmental Protection Agency, Research Triangle Park, NC 27711, USA Abstract 245 Objectives Impact/Significance Approach Key Results Read-across is a data gap filling technique utilized to predict the toxicity of a target chemical using data from similar analogues. GenRA attempts to make automated read-across predictions of toxicity outcomes for untested chemicals. Previous efforts utilizing GenRA focused on the enhancement of read-across prediction through characterization of chemical structure, physiochemical, and bioactivity similarity. In this work, the feasibility and performance of targeted High-Throughput Transcriptomic (HTTr) data in assigning in vivo toxicity read-across predictions was investigated. Tia Tate l tate.tia@epa.gov l 0000-0002-7359-1660 Binary ‘hit calls’ for targeted HTTr data on 93 transcripts for 1060 chemicals in HepaRGTM cells that measure nuclear receptor activation, xenobiotic metabolism, cell stress, cell cycle progression, and apoptosis, were derived from TCPL multiple concentration level 5 data. Newly developed python package, genra-py was utilized to evaluate the baseline chemical structure fingerprint approach versus these transcriptomic fingerprints as well as a hybrid combination of both for predicting ToxRefDB v2.0 hazard outcomes using Area under the Receiver Operating Characteristic (ROC) Curve (AUC). For all endpoints, there were modest improvements in ROC AUC scores of 0.01 (2.1%) and 0.04 (7.3%) with transcriptomic and hybrid descriptors, as compared to baseline (Morgan) chemical structure fingerprints. For liver-specific toxicity endpoints, ROC AUC scores improved by 10% and 17% for transcriptomic and hybrid descriptors, respectively. Thus, significant differences appear to be either study type or target specific. Previously, the GenRA approach was shown to be effective in characterizing source analogues using binary and quantitative measures for chemical and bioactivity descriptors, as well as physiochemical property information. In this present study, we found that in specific cases, the utility of transcriptomic hit- call information in addition to chemical structure information was promising in making in vivo toxicity predictions. While the coverage of this dataset was limited, we anticipate that these and future expansions to more comprehensive transcriptomic datasets will provide stronger justification for the use of NAMs to enhance read across predictions.


IDENTIFICACIÓN DE LA SUSTANCIA O DEL PREPARADO Y DE LA SOCIEDAD O EMPRESA Nombre del producto Cloro Nombre comercial Cloro Cloro 2.8 Número CEE (EINECS): 231-959-5 Número CAS: 7782-50-5 Índice Nº 017-001-00-7 Fórmula química Cl2 Utilizaciones: Sustancia multipropósitos, principalmente utilizado en la desinfección de áreas médicas IDENTIFICACIÓN DE PELIGROS A. PANORAMA DE EMERGENCIA: Aspecto físico y olor: polvo sólido blanco, inoloro. Advertencias: En base a los datos disponibles actualmente, este producto no cumple con la definición regulatoria de una substancia peligrosa. Sin embargo, deben utilizarse buenas prácticas de higiene industrial durante su manipulación. POSIBLES EFECTOS EN LA SALUD: Oculares agudos: Tal vez cause irritación por cuerpo extraño únicamente, Los polvos


Technosignature Grading System to Optimize Detection on G-type Exoplanets Using Next-Generation Space Telescopes Advait Huggahalli, Horace Greeley High School, Chappaqua, NY, United States https://exo planets.na sa.gov/ https://ww w.sciencen ews.org/ar ticle/james -webb-tele scope-que nched-gal axy


Heterologous expression of CECMEL11 bactericidal peptides against Xylella fastidiosa in Nicotiana benthamiana plants Aina Baró1, Pasquale Saldarelli2, Maria Saponari2, Emili Montesinos1 and Laura Montesinos1 1 CIDSAV, Institute of Food and Agricultural Technology, University of Girona, Girona (Spain) 2 Institute for Sustainable Plant Protection, National Research Council (CNR), Bari (Italy).


62ª Reunión Anual 13 al 16 de octubre de 2020 Chemical analysis of early-type stars with planets J. Alacoria1, P. Miquelarena12, D. Calvo2, G. Martin2, M. Flores12, M. Jaque Arancibia3, A. Collado12, F. Gunella1 & C. Saffe12 1 Instituto de Ciencias Astronómicas, de la Tierra y del Espacio (ICATE-CONICET), San Juan, Argentina 2 Universidad Nacional de San Juan, Argentina 3 Departamento de Física y Astronomía, Universidad de La Serena, La Serena, Chile To date, important metallicity trends are known for the case of late-type stars with planets, while early-type stars with planets are comparatively poorly studied. In this contribution, we present some preliminary results obtained for a sample of early-type stars with planets (mostly A-type stars) with and without planets. We want to study the possible relation between the presence of planets and the  Boötis chemical pattern. The  Boötis stars are a group of chemically peculiar objects on the upper main-sequence, showing underabundances (1-2 dex) of iron peak elements and near-solar abundances of C, N, O and S. We also want to search for possible trends between the stellar metallicity and planetary characteristics such as the mass and radius.


Open Schools Journal for Open Science Vol. 3, 2020 Nanotechnology and azo-dyes in sweets Staudinger M. BG/BRG Schloss Wagrain Punz E. BG/BRG Schloss Wagrain Joubert I.A. Dept. Biosciences, University of Salzburg Himly M. Dept. Biosciences, University of Salzburg Geppert M. Dept. Biosciences, University of Salzburg https://doi.org/10.12681/osj.22600 Copyright © 2020 M. Staudinger, E. Punz, I.A. Joubert, M. Himly, M. Geppert To cite this article: Staudinger, M., Punz, E., Joubert, I., Himly, M., & Geppert, M. (2020). Nanotechnology and azo-dyes in sweets. Open Schools Journal for Open Science, 3(2). doi:https://doi.org/10.12681/osj.22600 http://epublishing.ekt.gr | e-Publisher: EKT | Downloaded at 02/03/2021 02:43:30 |


Informe Layman El proyecto LIFE Biogasnet ha recibido financiación del Programa LIFE de la Comisión Europea con el número de contrato LIFE18 ENV/ES/000426


How Citizen Scientists are Monitoring Global Meteor Shower Activity with ML Open Source Research 1 Siddha Ganju Nvidia, SpaceML, Frontier Development Lab 3rd Shaw-IAU Workshop https://meteorshowers.seti.org/


Density Functional Theory Calculation Service Density functional theory (DFT) is a computational quantum mechanical modeling used in physics, chemistry, and materials science to evaluate the electronic structure (or nuclear structure, principally the ground state) of many-body systems, in particular atoms, molecules, and the condensed phases. A many-electron system's properties can be determined using functionals, i.e., functions of another function. In the case of DFT, these are functionals of the spatially dependent electron density. DFT is among the most popular and versatile methods available in condensed-matter physics, computational physics, and computational chemistry. Overall solutions • The essence of density functional theory is to transform the wave function into an electron density function as the basic unit of research, thereby simplifying the calculation process, and converting the multi-electron problem into a single-electron problem for solution. • Assuming that the number of electrons is N, the total number of variables in the wave function is 3N, and the solution is extremely complicated. Using density functional theory, the number of variables can be reduced to three, that is, only three spatial variables are included. Using DFT can simplify the calculation process, and ensure the calculation accuracy.


T L @FAIRsFAIR_eu www.fairsfair.eu /company/fairsfair Essential on Research Data Management MOOC Use case: collaboration among national and institution actors to support the uptake of RDM and FAIR data skills Type of initiative: Massive Open Online Course (MOOC) Organiser of the initiative: Lead by the University of Minho and commissioned by the General Secretariat for Education and Science from the Portuguese Ministry of Science, Technology and Higher Education uminho.pt Scope and objectives The Essentials on Research Data Management MOOC is a 30-hour online course with six modules aimed at training doctoral candidates in the fundamentals of RDM practices, including writing Data Management Plans (DMPs), applying the FAIR data principles, identifying the right tools and the legal issues involved in sharing research data. The course is made available to all Portuguese higher education institutions in the online platform “NAU”. While developed by the University of Minho, the initiative to create the RDM MOOC came from the Secretariat of State of the Ministry of Science, Technology and Higher Education. Developing a MOOC focused on addressing RDM practices was seen as a way to feed into two different policy initiatives that the Ministry was working on at the time (2016-2018). First, the MOOC could provide support to the implementation at the institutional level of the objectives of the emerging national Open Science Strategy. Second, the MOOC could be integrated within the broader national strategy in support of the uptake of digital skills. With regards to this second aspect, respondents from the University of Minho highlighted the importance of linking the promotion of RDM and FAIR data skills and practices with other priorities in the agenda of national governments. This can be instrumental not only in finding additional financial and capacity resources for teaching those skills, but also in identifying new motivations and drivers to support their implementation. The University of Minho agreed to develop the content of the RDM MOOC, recognising the potential that this could have in addressing internal institutional priorities on promoting Open Science skills and practices and in contributing to the objectives of the national strategies. At the national level, UMinho was also actively engaged in the Working Group (WG) responsible for defining the roadmap of the National Open Science Policy and developing new opportun¬ities for training in data-related skills was among the recommendations identified by the WG. In addition, respondents underlined that a third driver for their engagement in the RDM MOOC was to be identified with the decision of Portugal’s major national funder, the Foundation for Science and Technology (FCT), to update its policy data sharing and management, recommending the implementation of new training activities related to research data at the institutional level. The University of Minho Documentation and Libraries Service (UMinho) developed an Open Online Course (MOOC) in Research Data Management Massive in 2019 commissioned by the General Secretariat for Education and Science from the Portuguese Ministry of Science, Technology and Higher Education. The course is open to doctoral candidates and other researchers from all Portuguese higher education institutions who are interested in acquiring a basic understanding and knowledge of practices related to RDM and FAIR data. The case study shows the added value and mutual benefits of national and institutional-level actors working together to promote and support the uptake of RDM and FAIR data skills. The initiative to create the MOOC came from the Ministry for Science, Technology and Higher Education, who via the General Secretariat for Education and Science collaborated with the University of Minho to develop the content and implement the course in a new online platform aimed at fostering digital skills in Portugal. From the university’s perspective, the objecti


The psychology of the online offender – challenge and opportunities About me Understanding how and why technology is utilised for ‘good’ and ‘bad’ behaviours has been the central component to my professional experience to date. With a background in sociology and social policy, I studied psychology as a postgraduate before teaching in primary education in the Middle East using 1-to-1 iPad technology. From there, I went on to specialise in forensic psychology (MSc) and focus on the case formulation of online sexual offending. I was a research assistant and associate lecturer within the Online- Protect research cluster at the University of Lincoln before taking up my current PhD position. ACM Classification Keywords J.4 Social and behavioural sciences Personal experience with online communities Both my personal and professional identity communicated via my Twitter (@DarraghMcCashin) has afforded me insights into online communities. For example, in acquiring research participants for sensitive topics via Twitter (such as attitudinal research on contact versus online sexual offending), it became clear that both appropriate and inappropriate communities • ACM copyright: ACM holds the copyright on the work. This is the historical approach. Darragh McCashin University College Dublin Dublin 2, Ireland darragh.mccashin@ucd.ie


Pau Aragó/ Procedia Environmental Sciences 00 (2015) 000–000 1 Available online at  www.sciencedirect.com ScienceDirect Procedia Environmental Sciences 00 (2015) 000–000 www.elsevier.com/locate/pr ocedia Spatial Statistics 2015: Emerging Patterns Filtering Volunteered Geospatial information (VGI) using Spatial Point Pattern. Birds observer’s credibility Pau Aragó 1 , PabloJuan 1* , DiegoVarga 2 , Marc Saez  2 1. Universitat Jaume I, Avda Sos Baynat s/n, 12071 Castelló, Spain. *Corresponding author: juan@uji.es 2. Universitat de Girona, Plaza de Sant Domènec, 3, 17004 Girona, Spain Abstract Volunteered geographical information (VGI) [1] has become an important source of geospatial information. Nevertheless this source has a lack of credibility and quality assurance [2]. This is in fact because part of the spectrum of VGI contributors are not professionals or are casual users of VGI tools [3]. Therefore, it is difficult to trust VGI data and used it in scientific or professional environments without filtering it. The approach of this paper is to analyse point pattern data contributed by volunteers using Integrated Nested Laplace Approximation (INLA) and Stochastic Partial Differential Equation (SPDE) in order to be able to get some data classification depending on and response variable base on the data coming from the VGI source. © 2015 The Authors. Published by Elsevier B.V. Peerreview under responsibility of Spatial Statistics 2015: Emerging Patterns committee. Keywords: Birds, INLA, SPDE, Volunteered Geographic Information; 1. Introduction There has been several approaches to check and measure data quality. Firs quality of VGI data has been checked using traditional methodologies [4, 5]. Those methodologies are coming from spatial technologies professional approach, where professionals are producing a product, therefore it has a guarantee or certified level of quality. This approach for is not useful for VGI, because spatial data is create from a variety of users, motivations or goals, and where a user is not required to get an accreditation to starts its contribution. This first approach measures lineage, positional accuracy, attribute accuracy, logical consistency, completeness, semantic accuracy, temporal quality, metaquality, variation in quality and usage purpose Second approach is to compare VGI to an “official" or professional spatial data. There are several works done with Openstreetmap such us [4, 5, 6, 7]. Nevertheless this approach requires having something to be compared. Openstreetmap is made by volunteers but building a map where traditionally governments and companies has been working on during years and there is spatial data available to be compared with. * Corresponding author. Tel.: +34 96 72 83 81 ; . Email address: juan@uji.es


1 CALL FOR PAPERS JOURNAL OF CONTEMPORARY ADMINISTRATION (RAC – REVISTA DE ADMINISTRAÇÃO CONTEMPORÂNEA) ISSN 1982-7849 (online) rac.anpad.org.br SPECIAL ISSUE: Data reuse: What new information can we learn from used data? Submission Deadline: October 10th, 2020 Review Process Ends: March 30th, 2021 Special Issue attempt of publication: July, 2021 Associate Editor: Henrique Castro Martins – PUC Rio, IAG, Brazil Guest Editor: Marcelo S. Perlin - UFRGS, EA, Brazil RATIONALE FOR CALL: One of the most critical tasks of executing empirical research in Business Administration is to collect reliable data. This is usually costly, time-consuming and, sometimes, demands legal agreements along the process to guarantee the rights of those who own the data. Thus, the open access to empirical data is of extreme value for researchers of several fields (Piwowar & Vision, 2013; Van Raaij, 2018; Wallis, Rolando, & Borgman, 2013; Wegener & Rüping, 2011; Zimmerman, 2008). In the past few years, the worldwide community (Wilkinson, Dumontier, Aalbersberg, Appleton, Axton, Baak, et al., 2016) initiated a process to make research data FAIR (findable, accessible, interoperable, and reusable) throughout Open Science practices. RAC supports this movement and is committed to boosting open science practices (including open data) in the local community. One of the cornerstones of Open Data is to make it accessible for reuse. To foster reuse of data, RAC is inviting the submission of articles that build upon reused data. We encourage authors to access data used in previously published works to investigate new or current issues that are of interest to the management community. We are looking for articles that, building upon open data, take a different look than the original article either by developing further the original research or providing new insights to it. Articles also may try to validate the original results using different estimation techniques or different theories. We emphasize that reused data must come from public repositories or journals with open data practices. We are looking for articles that reassess public data used in already published articles. Thus, neither non-public data from published articles nor data collected in secondary sources will be accepted. Also, submitted articles need to contribute to the literature, either theoretically or empirically. Simply having reused data does not guarantee publication. Finally, submitted articles might also be a tutorial-article guiding readers on how to estimate the methods and how to reach the published article findings. For more information about RAC’s tutorial-articles, see Martins and Mendes-da-Silva (2020). An ideal, but not mandatory, structure of a data reuse article is: 1) An introduction section motivating the topic, the research question of the original work, the research question of the submitted research, and its contribution; 2) Discussion of the theory and proposition of a research framework; 3) Statement of the hypotheses and how they differ from the original work; 4) Discussion of the data and the results of the original work; 5) Elucidation and explanation of the conducted estimations and presentation of results; 6) Main findings and concluding remarks.


Cancer is the leading cause of death in Grenada. Although the age- standardized mortality rate for all cancer has been decreasing since 2000, the age standardized breast cancer mortality rate has been increasing overtime from 17.9 per 100,000 in 2000 to 37.82 per 100,000 in 2017. This suggests that improvements are needed in order to reduce the breast cancer mortality rate. The objective of this study is to identify several health education strategies that can be used to improve breast cancer screening among Grenadian women Methods Conclusions Bibliography Based on previous studies and interviews, three possible strategies for improving breast cancer screening among Grenadian women were evaluated: 1) Maintaining the status quo 2) The use of effective and targeted health promotion and health education strategies to increase the public knowledge, awareness and recognition about the benefits of breast cancer screening 3) The increased use of advanced tests and technology such as mammography to improve breast cancer screening. Literature review was conducted using databases such as PubMed and interviews were conducted with several Grenadians including women who have experienced breast cancer. 1. Pan American Health Organization. (2013). Grenada Cancer Profile 2013. Retrieved from https://www.paho.org/hq/dmdocuments/2014/GRENADA-CANCER- PROFILE-2013.pdf 1. LeDuc, T. (2017). Breast Cancer in Grenada. LeDuc Media. Retrieved from https://www.worldlifeexpectancy.com/grenada-breast- cancer Affiliated with St George’s University, School of Medicine, Grenada, West Indies Upon analysis, we recommended only the second approach because it is the only strategy that fulfilled all three evaluation criteria which include the evidence-based, feasibility-based and ethics-based criteria Based on the evidence-based criteria, this strategy will most likely reduce the breast cancer mortality rate as it will result in more awareness about the benefits of breast cancer screening among Grenadian women. This strategy is also feasible and ethically justified because it can be achieved effectively through the aid of donations, volunteers, as well as forming partnerships with non- governmental organizations, schools and the media. Introduction Results The Use of Health Education and Health Promotion to Improve Breast Cancer Screening among Grenadian Women Ibraheem Alimi1, Dr. Shawn Charles2, Dr. Satesh Bidaisee1 , Dr. Emmanuel Keku1 1St. Georges University School of Medicine (SGUSOM) / Department of Public Health and Preventative Medicine (DPHPM) . 2Ministry of Health Grenada Figure 1: Age standardized breast cancer mortality rate in Grenada (2000-2017)1,2 Table 1: Summary of analysis and evaluation criteria supporting the alternatives for improving breast cancer screening among disadvantaged Grenadian women.


1 Investigating User Account Control Practices Abstract Non-administrator user accounts and the user account control (UAC) approach of Windows Vista are two practical solutions to limit the damage of malware infection. UAC in Windows Vista supports usage of lower privilege accounts; a UAC prompt allows users to raise their privileges when required. We conducted a user study and contextual interviews to understand the motives and challenges participants face when using different user accounts and the UAC approach. Most participants were not aware of or motivated to employ low-privileged accounts. Moreover, most did not understand or carefully consider the prompts. Keywords Usable security, Least privilege, User account control ACM Classification Keywords H.5.0 Information Interfaces and Presentation: General; D.4.6 Software: Access controls, Invasive Software General Terms Human Factors, Security Introduction In 2005, it was said that 85% of computer users log in as an administrator [2]. This is convenient for users in terms of performing their daily activities; however, it also means that malware can install and run with administrative privileges. The principle of least privilege Copyright is held by the author/owner(s). CHI 2010, April 10–15, 2010, Atlanta, Georgia, USA. ACM 978-1-60558-930-5/10/04. Sara Motiee Department of Electrical & Computer Engineering The University of British Columbia Vancouver, BC, Canada motiee@ece.ubc.ca Kirstie Hawkey Department of Electrical & Computer Engineering The University of British Columbia Vancouver, BC, Canada hawkey@ece.ubc.ca Konstantin Beznosov Department of Electrical & Computer Engineering The University of British Columbia Vancouver, BC, Canada beznosov@ece.ubc.ca


Page | 1 Quick Mapping of historical urbanization in France, case study of Scan Histo 1950 using spatial pixel based approach Walid Rabehi*1, Rémi Lemoy†1, Marion Le Texier‡2 1UMR IDEES 6266/CNRS, University of Rouen 2University of Montpellier 3 GISRUK 2023 Summary Automatic detection of human settlement and cities forms on historical maps remains a challenging topic regarding the complexity of the maps semiology, but also because of the general conditions of maps (ink degradation, color change…). The aim of this contribution is to establish an urban layer of France based on historical maps of 1950 using pixel-based approach and multitemporal landcover map. This work will use the produced layers to test whether large cities are more or less parsimonious in terms of land use than smaller cities, at different periods. KEYWORDS: Pixel based analysis, Remote sensing, Historical maps, Urban areas, France 1. Introduction Spatial analysis of city size and urban forms is a very popular topic, widely addressed due to the availability of open-access databases such as GHSL (Global Human Settlement Layer), Urban atlas, Copernicus. etc., produced from satellite imagery, available for the last five decades. In this context, the challenge is to produce urban layers older/prior to 1975, using historical maps (starting with Scan histo 1950 data (IGN, 2014)), in order to obtain a deeper spatiotemporal view for the 19th and even 18th centuries, and especially on national scale in France. The complexity of automatic detection on these maps, is related to several factors, such as color degradation (effect of maps’ bad conservation or just old age causing ink degradation), or certain technical hazards such as discrepancies between maps (”the band completeness linked to projections issues on a national scale” (Lenc et al., 2022)). In France, very few studies have focused on detection of urban areas using historical support (Drapeau et al., 2017), in particular because of the difficulty of automatic classifications on this type of data, where traditional remote sensing algorithms are quite inefficient (Ignjatić et al., 2018). (Combes, Gobillon and Zylberberg, 2022) use machine learning techniques combined with a “Random Forest” algorithm/classifier to classify urban areas. They also point out some limits of this method: a tedious time of manual sampling (model learning and validating), and regarding the results a confusion with the text (nomenclature inside the map and linear networks lie roads or railways). The aim of this work is to provide a cartography of urban forms at medium resolution (20m) covering the French territory based on a “Scan histo 1950” mosaic, using a combination of classic remote-sensing classifiers and morphological filters, as well as an automatic cleaning method to detect confusion based on recent land cover map (Corine Land Cover 2012). This is the first attempt, to our knowledge, to detect urban areas automatically on this national 1950 map. This quick mapping approach is indeed a correct quality/time compromise, yielding cartographic support comparable in quality with GHSL urban layers (Florczyk et al., 2019). Indeed, we obtain a confusion rate of 75%, which is very acceptable on a national scale, sparing time-consuming approaches like manual vectorization or machine learning manual sampling processes. The produced urban layers will be analysed as part of the project using a combination of radial analysis * walid.rabehi@univ-rouen.fr † remi.lemoy@univ-rouen.fr ‡ marion.le-texier@univ-montp3.fr


Avenida Circunvalación del Club El Golf Los Incas 202 - Surco Lima Perú Telefax 3587002 Celular 992793067 E-mail: dcordova@dcr.com.pe DCR Ingenieros S.R.Ltda. Geomecánica en Minería y Obras Civiles La Importancia de la Capacidad de Deformación del Shotcrete AGOSTO, 2020 Antecedentes Problemática El deterioro progresivo del shotcrete debido a las deformaciones de las excavaciones que exceden sus capacidades, incrementa el costo operativo por mantenimiento de labores. El incremento por mantenimiento del refuerzo puede llegar en algunos casos a ser el 50% del costo de sostenimiento. Además, de la sensación de inseguridad que el shotcrete agrietado provoca y los posibles problemas de seguridad y demoras operativas que esto significa. Deformación del túnel Simulación numérica de deformaciones en la intersección de labores: En minería subterránea es común lidiar con deformaciones de 1% hasta 5% en los casos más críticos. La simulación numérica presentada en la figura superior muestra desplazamientos de hasta 3 cm en la corona y piso, ó 1.2% de deformación para una excavación de 5 m altura, tanto en los hastiales como en la corona o techo de la excavación. Ruptura shotcrete Deformaciones en una excavación vs el esfuerzo aplicado: Hoek (2007), mediante múltiples simulaciones demuestra los límites de deformación que una excavación presenta, variando las propiedades mecánicas del macizo rocoso, el campo de esfuerzos y las secciones de los túneles evaluados. Este gráfico sirve como referencia de las deformaciones aproximadas que las excavaciones subterráneas sufren hasta mantener condiciones límites de estabilidad. El shotcrete ha proliferado en los últimos 30 años debido a los avances tecnológicos. Para el diseño y aplicación, los parámetros más usados son, la resistencia a la compresión simple y la absorción de energía del shotcrete, también es monitoreada la evolución de la resistencia con el tiempo (resistencia compresiva y de tracción). Sin embargo, el módulo de deformación rara vez es considerado en la operación. El módulo de deformación (módulo de Young en el pre pico), define la capacidad de deformación antes de perder capacidad de carga. Ruptura shotcrete Modelo numérico de intersección de excavaciones subterráneas DCR, 2019. Desplazamientos en el modelo de intersecciones de excavaciones subterráneas. DCR, 2019.