Eggsplorer: A workflow to rapidly evaluate insect resistance based on oviposition 1 Micha Gracianna Devi, Dan Jeric Arcega Rustia Main advantages: 1. 2 . 3. Documentedimages of leaves. High throughputscreening . Handles eggsbetweenhoneydew. 4. Website-based (internal). 5. Exporteddata (.xlsx) of egg countand processedimage wit h level of confidence. Things to be optimized: • Under/overestimationof egg count . ↳The more variationin imag es fortraining, thesmarter the program becomes. Thingsto consider: 1. How low canitgo? Magnification, resolution, cost. 2. How efficientin termsof time & human resource? Acknowledgement: Bart van Marrewij k Jochen Hemmi ng Kas Swink els Lize B raat Wendy van’tWestende 1 2 1 Insect Resistance Breeding, Wageningen University and Research, The Netherlands 2 GreenhouseTechnology, WageningenUniversityandResearch, TheNetherlands Federico F. Espinosa Gina Pavloupolo u Harlino Prayud ha Keming Su 1.High quantityof samples forphenotypingpopulation. 2.Manual quantificationusingbinocularrequiresconstant focus adjustment; a lot of time is required. 3.Leafsamples aftercountingare thendiscarded; no documentation. 4.Variationin human eyecapacity; human error. Tomato Potato , Lotte Caarls Arabidopsis Challengesin conductingwhiteflyassays Abstract Up to date, conventional method is still used to quantify insect eggs for evaluating plant resistance. Commonly, this method includes the use of a binocular and manually adjusting the focus over a leaf segment, followed by counting with a ticke r whenever an egg is spotted. This procedure is laborious and require a good eye skill to distinguish the eggs. In susceptib le toma to a nd pota to plant s, whitefli es c an l ay mo re th an a hundr ed eg gs insi de a cl ip ca ge (⌀ 2 cm ). The se eg gs are sometimes packed in an area and ranges from translucent green to brown depending on the age. Moreover, whitefly eggs that are cov ere d in whit efly h oney dew and hi dden a mong trich omes are diffi cul t to det ect. Furtherm ore, t her e is a limitation to electronically document samples using images from a binocular. Eggsplorer is a workflow especially dev eloped to rapidly evaluate whitefly oviposition. This include the use of a digital microscope that can quickly capture high res olution Z-stacked collages of the whole leaf surface, then importing the images to the Eggsplorer program for egg quantific ation. A deep learning model, based on YOLOv5 , was trained to detect the eggs automatically in the images and deployed using an executable graphical user interface. As evaluated using a testing image dataset, the algorithm has an average accura cy of 0.93 with an error of ± 7 eggs per image and average r2 of 0.95, relative to the manual count.Up to date, conventional method is still used to quantify insect eggs for evaluating plant resistance. Commonly, this method includes the use of a binocular and manually adjusting the focus over a leaf segment, followed by counting with a ticker whenever an egg is spotted. This procedure is laborious and require a good eye skill to distinguish the eggs. In susceptible tomato and potato plants, whiteflies can lay more than a hundred eggs inside a clip cage (⌀ 2 cm). These eggs are sometimes packed in an area and ranges from translucent green to brown depending on the age. Moreover, whitefly eggs that are covered in whitefly honey dew and hidden among trichomes are difficult to detect. Furthermore, there is a limitation to electronically document samples using images from a binocular. Eggsplorer is a workflow especially developed to rapidly evaluate whitefly oviposition. This include the use of a digital microscope that can quickly capture high resolution Z-stacked collages of the whole leaf surface, then importing the images to the Eggsplorer program for egg quantification. A deep learning model, based on YOLOv5 , was trained to detect the eggs automatically in the images and deployed using an executable graphical user interface. As e


GENGA, a GPU N-body integrator for planet formation and planetary system evolution Simon L. Grimm Center for Space and Habitability, University of Bern The Solar System contains more than 1 Million known asteroids. Some on near Earth orbits. Timing on NVIDIA and AMD GPUs Dynamics of small bodies in the Solar System. Including Yarkovsky effect, Poynting Robertson drag and mean motion resonances. 10 million years after an asteroid collision, fragments collide with the Earth. Planets are formed by collisions of planetesimals. Gas drag leads to an inward drift of the bodies. Mean motion resonances of Jupiter and Saturn increase the eccentricities. The N-body problem includes N2 force calculations per time step. A symplectic integrator is used to conserve energy over many billions of time steps.


Wan Shakira Rodzlan Hasani , Shubash Shander Ganapathy , Chong Zhuo Lin , Halizah Mat Riﬁn , Mohammad Nazaruddin Bahari , Muhammad Haikal Ghazali , Noor Aliza Lodz , Muhammad Haﬁzuddin Tauﬁk Ramli , Nur Liana Ab Majid , Jane Ling Miaw Yn , Muhammad Fadhli Mohd Yusoﬀ , Noor Ani Ahmad , Anita Suleiman , Ahmad Faudzi Yusoﬀ , Venugopalan Balan , Sha’ari Ngadiman Institute for Public Health, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia Selangor State Health Department (JKNS), Ministry of Health Malaysia, Shah Alam, Selangor, Malaysia Disease Control Division, Ministry of Health Malaysia, WP Putrajaya, Malaysia Institute for Medical Research, National Institutes of Health, Ministry of Health Malaysia, Setia Alam, Selangor, Malaysia NMRR-20-720-54598 1. Wold Health Organization. WHO announces COVID-19 outbreak a pandemic - WHO Director-General’s opening remarks at the media briefing on COVID-19- 11 March 2020. Geneva2020 [cited 2020 14 April]. Available from: https://www.who.int/dg/speeches/detail/who-director-gener- al-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. 2. Ministry of Health Malaysia. Official Portal Ministry of Health Malaysia, Latest COVID-19 Statistic in Malaysia by MOH as at 5:00pm, April 14th: Ministry of Health Malaysia; 2020 [cited 2020 14 April]. Available from: http://ww- w.moh.gov.my/index.php/pages/view/2019-ncov-wuhan. 3. Li B, Yang J, Zhao F, Zhi L, Wang X, Liu L, et al. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clinical Research in Cardiology. 2020:1-8. 4. Ruan Q, Yang K, Wang W, Jiang L, Song J. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive care medicine. 2020:1-3. 5. Guan W-j, Ni Z-y, Hu Y, Liang W-h, Ou C-q, He J-x, et al. Clinical characteristics of coronavirus disease 2019 in China. New England Journal of Medicine. 2020. 6. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavi- rus in Wuhan, China. The Lancet. 2020;395(10223):497-506. 7. Novel CPERE. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua liu xing bing xue za zhi= Zhonghua liuxingbingxue zazhi. 2020;41(2):145. 8. COVID-19 Surveillance Group. Characteristics of COVID-19 patients dying in Italy: report based on available data on March 20th, 2020. Rome, Italy: Instituto Superiore Di Sanita; 2020. 2020. 9. Yang J, Zheng Y, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities in the novel Wuhan coronavirus (COVID-19) infection: a systematic review and meta-analysis. International Journal of Infectious Diseases. 2020. References related to Invasive Ventilatory Support among COVID-19 cases in Selangor, Malaysia P-16 Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). On March 11, 2020, the World Health Organization declared COVID-19 a pandemic1. Malaysia has also not been spared from the pandemic with a total of 4,987 infected people and 82 deaths up to April 14, 2020 2. A number of studies have shown that underlying comorbidities are predictors of severe disease outcome and greatly aﬀect the prognosis of the COVID-19 patients3-4. COVID-19 causes severe acute respiratory syndrome and is often associated with intensive care unit (ICU) admission and subsequent mortality. Identifying the risk factors that predicts severity and outcome of COVID-19 patients early in the presentation would be extremely helpful for clinicians in managing the patients • This is a retrospective study using data collected during COVID-19 outbreak in Selangor, Malaysia. • COVID-19 conﬁrmed cases in Selangor that were notiﬁed up to 13th April 2020 were included into this study. • A positive case of COVID-19 is conﬁrmed based on positive Reverse Transcriptase-Polymerase Chain React


Innovative Research for a Sustainable Future www.epa.gov/research Tom Knudsen | knudsen.thomas@epa.gov l 919-541-9776 Computational Modeling of Limb-Bud Dysmorphogenesis: Predicting Cellular Dynamics and Key Events in Developmental Toxicity with a Multicellular Systems Model BK Ahir1, ES Hunter2, NC Baker3, RM Spencer3, RS Dewoskin4, TB Knudsen1 U.S. Environmental Protection Agency, Office of Research and Development 1National Center for Computational Toxicology, 2National Health and Environmental Effects Research Laboratory, 3Lockheed Martin, 4National Center for Environmental Assessment 4. TOXICODYNAMICS: predicting key events 5. PRACTICAL APPLICATIONS OF A MULTICELLULAR SIMULATION o Predictive Toxicology :- new way to integrate masses of HTS data into knowledge of a system o Parameter Sweeps :- high-throughput hypothesis testing to inform experimental design o Mechanistic Models :- track lesion propagation through higher levels of biological organization o Temporal Analysis :- pinpoint key events and mine for quantitative relationships o Dose Predictivity :- compare diverse exposure scenarios across dose, time, duration & mixtures DISCLAIMER: does not reflect EPA policy GENETIC PERTURBATION: hindlimb-bud shown at MCS intervals 10k, 20k, 30k & 40k with SHH field for normal and ‘virtual knockouts’ disabled for Shh or Gli3 genes (wild-type contour traced magenta). Apical Ectodermal Ridge (AER) and Zone of Polarizing Activity (ZPA) are major signaling centers; pivotal signaling pathways fibroblast growth factor (FGF), sonic hedgehog (SHH), bone morphogenetic protein (BMP) and retinoic acid (RA) were modeled in CellDesigner (www.celldesigner.org/). 1. COMPUTATIONAL EMBRYOLOGY & PREDICTIVE TOXICOLOGY HYPOTHESIS: a computer model that simulates cellular function in a growing embryo can be used to predict the potential impact of chemical exposure during early limb development. 2. SIGNALING NETWORK: spatial information processing Query of Mouse Genome Informatics database (www.informatics.jax.org/) by ‘abnormal limb bud morphology’ (MP:0005650) returned genes for 132 relevant genotypes. An e-Library developed from these genes (31,701 PubMed records annotated by MeSH terms for limb development) returned 81 genes regulating early limb morphogenesis. CONTROL NETWORK CELL AGENT-BASED MODEL (ABM): multicellular and signaling dynamics were modeled in CompuCell3D (www.compucell3d.org/); the small working prototype simulated mouse hindlimb-bud development between Theiler stages 16-19 (~42h) in ~42,000 Monte Carlo Steps (MCS). 3. CELLULAR DYNAMICS: translation of spatial information o Disabling Shh in the model simulates undergrowth of limb-bud o SHH: posterior regulation of digit number & identity o Disabling Gli3 in the model leads to precocious overgrowth o GLI3R: blocked by SHH but negatively regulates Shh-expression o Future Goal: Model the emergence of digital rays Wild-type Shh-null Gli3-null Rate of elongation (n=5) Shh cell lineage (n=5) Wild-type Shh-null Gli3-null Predicted outcomes digital patterns inferred from the literature; not yet implemented in the model exposure Adhesion Apoptosis Differentiation Migration Mitosis Shape Size AER ZPA Cellular behaviors Signals Simulated outgrowth Shh cell lineage (n=10) control excess apoptosis mitotic arrest mixed effect exposed at MCS 32-38k Excessive apoptosis (n=10) CONTROL APOPTOSIS MITOTIC MIXED scan QR codes to run simulation on mobile device CHEMICAL DISRUPTION: How might local effects predicted by in vitro high-throughput screening (HTS) data such as ToxCast™propagate through the pivotal SHH cell lineage in silico to predict, therefore, a key event in vivo? EXAMPLE: 5-Fluorouracil, a teratogen that disrupts digit formation, perturbed 13 of 650 ToxCast HTS assays at ≤15 µM: impaired differentiation and increased cell loss (excessive apoptosis); p53- induction, mitotic arrest and cell death. These effects can be fed into the model for translation into predicted outcomes. o Model reac


Effects of C-peptide on Adipocytes and Mesenchymal Stem Cells in Human Adipose Tissue Ahmad Ghorbani1, Mohammad Taghi Rajabi-Mashhadi2, Seyyed Abbas Zojaji1, Reza Shafiee-Nick1 1Department of Pharmacology & Pharmacological Research Center of Medicinal Plants, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran 2Endoscopic & Minimally Invasive Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran ABSTRACT Recent studies suggest that proinsulin connecting peptide (C-peptide) may show physiological functions in various tissues. This study was aimed to determine whether C-peptide could be involved in the regulation of lipolysis, adiponectin release, and function of mesenchymal stem cells (MSCs) in adipose tissue. Human subcutaneous adipose tissue was cultured in the presence of C-peptide and lipolysis was determined by glycerol measurement in the conditioned media. Effect of C-peptide on adiponectin secretion was evaluated in differentiated adipocytes. The adipogenic and osteogenic abilities of adipose MSCs were evaluated using Oil Red and Alizarin Red staining, respectively. C-peptide induced a significant decrease in basal lipolysis, a slight decrease (statistically insignificant) in isoproterenol-stimulated lipolysis, and a slight increase in adiponectin secretion at concentration of 8 nM, 16 nM and 4 nM, respectively. It had no effect on adipogenic and osteogenic differentiation of MSCs. However, at concentration of 4 nM, C-peptide significantly increased the proliferative capability of MSCs (p<0.05). These results suggest that C-peptide has physiological effects in human subcutaneous adipose tissue and contributes to the regulation of basal lipolysis and pool of MSCs. INTRODUCTION Recent data suggest that proinsulin C-peptide may exhibit characteristics of a peptide hormone and show physiological functions in various tissues. Diabetic patients show a spectrum of abnormalities in lipid metabolism including uncontrolled lipolysis, and dysregulation of adipogenesis and lipogenesis in adipose tissue. These abnormalities are associated with development of atherosclerosis and cardiovascular diseases. Also, there are some reports that diabetes may impair mobilization ability and wound healing capability of mesenchymal stem cells (MSCs) in the patients with type 1 and type 2 diabetes. Until now, the effects of C-peptide on adipose tissue are not yet well known. The aim of this study was to examine whether CP could be involved in the regulation of lipolysis, adiponectin secretion, and proliferation and differentiation abilities of MSCs in human adipose tissue. MATERIALS AND METHODS Subcutaneous adipose tissue samples were obtained from patients undergoing conventional intra- abdominal surgery. Effect of C-peptide on lipolysis was evaluated in ex-vivo organ culture condition and the level of lipolysis was determined by measurement of glycerol. In separate experiments, MSCs were isolated from adipose tissue samples using collagenase-based technique. Effect of C-peptide on proliferation of MSCs was evaluated using MTT assay. The adipogenic and osteogenic differentiation abilities of adipose MSCs were evaluated using Oil Red and Alizarin Red staining, respectively. Effect of C-peptide on adiponectin secretion was evaluated in differentiated adipocytes. RESULTS C-peptide significantly reduced the level of basal lipolysis (p < 0.05) and showed a slight inhibitory effect (statistically insignificant) on isoproterenol-stimulated lipolysis (Fig. 1). Flow cytometric analysis showed that the MSCs were positive for stem cell-associated markers (CD44 and CD105) and negative for haematopoietic markers (CD34 and CD45). C-peptide at concentrations of 1-16 nM increased proliferation of MSCs (Fig. 2). The effect of C-peptide at 4 nM was statistically significant. Figure 3 shows that C-peptide at concentrations of 4-16 nM had no effect on the level of osteogenic differentiation. Figure 4 demonstrates that


1. Periodic representation 2. Modular organization with different periods: – relatively narrow range of periods – no grid with very low or high spatial frequencies; e.g. 0.3 ~ 1.3 m [Hafting 2005, Stensola 2012] 3. Uniform phase coverage within a module. An Optimization Principle for the Emergence of Grid Cell Codes Tzuhsuan Ma1 and Ila Fiete1 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts Definition of grid cells Inferred properties of grid representation Background / past work on emergence of grid cells Results Advantage of using constant frequency ratio? Exploring contribution of the loss terms Conclusions 1. We find a minimal set of sufficient conditions for the emergence of grid cell codes. 2. These conditions demand a high-capacity, robust, and translationally-invariant code, and we find that grid cell code is the only solution satisfying them simultaneously. 3. We find no structure in period ratio in these conditions. The observed constant period ratio must come from the other constraints. 1. Remarkable advantages in coding: – exponential-capacity code [Fiete 2008] – robust, error-correcting code [Sreenivasan 2011] – accurate path-integration code [Burak 2009] – parallel operations [Fiete 2008], and many others. 1. Unsupervised, single module – Hebbian learning of recurrent weights with place-cell inputs → grid cells [Widloski 2014] – Hebbian learning of feedforward weights with place-cell inputs → grid cells [Dordek 2016] 2. Supervised – Learning of RNNs with a spatial integration task → periodic responses, no modules [Cueva 2018] – Learning of RNNs with a spatial integration task and a 50%-drop out layer → periodic responses with modules [Banino 2018] Cons: 1) Results largely depend on many constraints and fine-tuning of many hyperparameters. 2) No single explicit objective → architecture, dynamics, input/output encoding, and various other constraints all influence the solution that emegences. References 1. Banino, A. et al. Vector-based navigation using grid-like representations in artificial agents. Nature 26, (2018). 2. Burak, Y. & Fiete, I. R. Accurate path integration in continuous attractor network models of grid cells. PLoS Comput. Biol. 5, (2009). 3. Cueva, C. J. & Wei, X.-X. Emergence of grid-like representations by training recurrent neural networks to perform spatial localization. ICLR 2018 1–19 (2018). 4. Dordek, Y., Soudry, D., Meir, R. & Derdikman, D. Extracting grid cell characteristics from place cell inputs using non-negative principal compo- nent analysis. Elife 5, 1–36 (2016). 5. Fiete, I. R., Burak, Y. & Brookings, T. What Grid Cells Convey about Rat Location. J. Neurosci. 28, 6858–6871 (2008). 6. Hafting, T., Fyhn, M., Molden, S., Moser, M. B. & Moser, E. I. Microstructure of a spatial map in the entorhinal cortex. Nature 436, 801–806 (2005). 7. Sreenivasan, S. & Fiete, I. R. Grid cells generate an analog error-correcting code for singularly precise neural computation. Nat. Neurosci. 14, 1330–1337 (2011). 8. Stensola, H. et al. The entorhinal grid map is discretized. Nature 492, 72–78 (2012). 9. Widloski, J. & Fiete, I. R. A Model of Grid Cell Development through Spatial Exploration and Spike Time-Dependent Plasticity. Neuron 83, 481–495 (2014). 10. Wei, X. X., Prentice, J. & Balasubramanian, V. A principle of economy predicts the functional architecture of grid cells. Elife 4, 1–29 (2015). What do we want to optimize? The loss functions Loss 1 maximizes coding separability. → high capacity robust code. Loss 2 minimizes variance along the diagonals of distance matrix. → translationally invariant (TI) code. Loss 3 minimizes sparsity of the representation. → representation with narrow range of firing rate. Our appoach 1. We define an optimization problem purely from coding perspective. 2. Our setup is transparent without implicit dynamical constraints of RNNs position (m) cell i initial tuning curves initial spectrum final unsorted tuning


Figure 3.4: Body size governs relative time invested in temperature regulation Ratios of the time it takes to cool down versus the time it takes to warm up in crocodiles in air and in water (Smith 1976) compared to a stacked histogram of terrestrial and aquatic body masses. Larger sizes require less warming time with respect to cooling time. Living in air is thermally advantageous at smaller size whereas living in water is preferable at larger size. 3. Results 1. Introduction Twenty-four species of crocodile populate the globe today, but this richness represents a minute fraction of the diversity and disparity of Crocodyliformes since their origin early in the Triassic. Across this clade, three major diversification events into the aquatic realm have occurred. Aquatic and terrestrial habitats impose differing selective pressures on body size. However, previous research on this topic in Crocodyliformes remains qualitative in nature. In this study, our goal was to quantify the influence of habitat (terrestrial versus aquatic) on the evolution of body size in Crocodyliformes. We find a history of repeated body size increase and convergence following shifts to an aquatic lifestyle, suggesting common selective pressures on life in water spanning multiple independent aquatic clades. Convergent body size evolution of Crocodyliformes upon entering the aquatic realm 2. Materials and Methods William Gearty* and Jonathan L. Payne Department of Geological Sciences, Stanford University *wgearty@stanford.edu 4. Conclusions • All three aquatic clades converge on greater optima, with shorter phylogenetic half-lives and smaller stationary variances • Lung volume, which has long been proposed as the main constraint on diving capacity, is only a constraint at sizes greater than 10 kg • The rate of cooling strongly constrains diving capacity at sizes smaller than 10 kg and may be the primary driver of larger body sizes in diving crocodyliformes General Equation of an OU Model: 𝒅𝑿𝒕= 𝜶𝜽−𝑿(𝑡) 𝒅𝒕+ 𝝈𝒅𝑩(𝒕) 𝑋𝑡: initial body size 𝛂: strength of selection 𝑑𝑋𝑡: change in body size 𝛔: intensity of random drift 𝑑𝐵(𝑡): random variation 𝛉: body size optimum Figure 2.1: Maximum clade credibility tree of Crocodyliformes showing invasions of the aquatic realm within three clades Summary tree of posterior distribution of trees from MrBayes characterless tip-dating analysis of the Crocodyliformes supertree. Tips without habitat and/or size data were dropped. Tip labels indicate terrestrial and aquatic species. Figure 3.1: Aquatic clades converge on larger body size optima Weighted means and 2σ confidence intervals of model-averaged body mass optima (θ) as estimated by OUwie analyses for terrestrial and aquatic regimes. Aquatic clades have statistically greater body mass optima than the terrestrial regime (p < .001, Mann-Whitney test). • Calculated body masses of 249 crocodyliformes (living and extinct) using measurements from primary literature • Assigned habitats based on compilations and primary literature • Crocodyliformes supertree (Bronzati et al. 2015) • Species fossil ranges from compilations and PBDB • Characterless tip-dating analysis using R and MrBayes • Macroevolutionary Ornstein-Uhlenbeck (OU) model fitting • OUwie R package (Beaulieu et al. 2012) • Results model-averaged across 17 different models using AIC Figure 3.2: Aquatic clades converge on shorter phylogenetic half-lives Boxplots of model-averaged phylogenetic half-lives (ln(2)/α) as estimated by OUwie analyses for terrestrial and aquatic regimes. Outliers have been removed. Aquatic clades have statistically shorter phylogenetic half- lives compared to the terrestrial regime (p < .001, Mann-Whitney test). Figure 3.3: Aquatic clades converge on smaller stationary variances Boxplots of model-averaged stationary variances (σ2/(2*α))as estimated by OUwie analyses for terrestrial and aquatic regimes. Outliers have been removed. Aquatic clades have statistically smaller stationary variances compared t


Principal soil series Blount series -On till planes of Wisconsin age, formed in silty clay loam or clay loam till -Fine, illitic, mesic Aeric Epiaqualfs Pewamo series -On moraines, near-shore zones,and lake planes, formed in till -Fine, mixed, active, mesic Typic Epiaqualfs Obtain and prepare yield monitor data. Original estimates from yield monitor -2 0 2 4 6 8 10 % IncMSE Relationships between crop yield and landscape features Ashley Kissick, James Camberato, and Robert Nielsen Purdue University, West Lafayette, IN, USA U N I V E R S I T Y R Introduction Sound agronomic recommendations are crucial for today’s agronomists as they strive for improved yields, profits, and sustainability. Determining the spatial relationships between yield and landscape variation including soil properties, soil texture, and terrain attributes may improve management decisions, particularly with regards to proper nitrogen applicaiton for minimizing both costs to farmers and environmental impacts. Here, we investigate relationships between landscape features and corn yield as part of a preliminary study to model corn yield with variations in landscape attributes, soil properties, and weather. Use cluster analysis to select unique terrain attributes. Select most important variables for model using Random Forest. Variable importance 1. Topographic position index 5. Vertical distance to channel network 4. Valley depth 6. Convergence index 7. Flow accumulation 8. SAGA topographic wetness index 9. Catchment area 10. Topographic wetness index 11. Longitudinal curvature 12. Slope 13. Catchment slope 14. Cross-sectional curvature 15. Diurnal anisotropic heating 3. Modified catchment area 2. Relative slope position -2 0 2 4 6 8 10 %IncMSE 0 10 20 30 40 50 Height 6. Convergence Index 2. Relative Slope Position 1. Topographic Position Index 5. Vertical Distance to Channel Network 3. Modified Catchment Area 4. Valley Depth 8. SAGA Topographic Wetness Index 9. Catchment area 7. Flow Accumulation Field site Questions? Ashley L. Kissick, Ph.D. akissick@purdue.edu 5m raster of yield Calculate terrain attributes from digital elevation model. Catchment area Catchment slope Convergence index Cross-sectional curvature Diurnal anisotropic heating Flow accumulation Longitudinal curvature Modified catchment area Relative slope position Slope Topographic position index Topographic wetness index SAGA topographic wetness index Valley depth Vertical distance to channel network 657200 657300 657400 4456850 4456950 4457050 293.0 293.5 294.0 294.5 295.0 295.5 296.0 Elevation, m 293.0 293.5 294.0 294.5 295.0 295.5 296.0 Lag distance (m) Yield residuals 0.8 1.0 0.4 0.6 0.0 0.2 0 100 150 200 50 250 Semivariance range SAGA GIS Use variogram range as distance for spatial weight matrix Run two models for spatial processes: Predicted Yield 1. Spatial lag model: Υ = ρWΥ + Xβ + ε 2. Spatial error model: Υ = Xβ + η, η = λWη + ε Lowest AIC (Akaike Information Criterion) Predictors W Results Discussion The most important terrain attributes for predicting corn yield were relative slope position, topographic wetness index, topographic position index, and catchment slope. These results demonstrate that models for predicting corn yield in Indiana need to include landscape features for increased model performance. Since this preliminary study, we have added soil texture and soil properties to the models at the Davis Purdue Agricultural Center. This has substantially improved all models. This analysis met one objective of a larger investigation that will incorporate soil properties, soil texture, and weather patterns into models of corn yield across Indiana landscapes. The focus of future work will investigate relationships between yield and terrain attributes, soil properties, and weather patterns aross Indiana, USA. Standardized coefficient Estimate p-value Topographic position index -0.49 5.51e-05 Catchment slope -0.19 0.03 Silt 0.70 2.20e-16 Topographic wetness index 0.30 9.00e-04 Longitudin


Language as a Reflection of Mental Time Travel Leon Derczynski, Department of Computer Science, University of Sheffield Basic tenses need mental time travel Languages communicates temporality in verbs in two ways: tense and aspect. There are formal models for these, e.g. Reichenbach. This breaks verbs into three times: E – event time – when it happened R – reference time – the viewpoint S – speech time – when it was uttered Ref. time invokes an abstract viewing point Determining R tells you where observer is Temporal expressions relate distance Expressions of time may give a granularity “It will happen in two weeks” “And two minutes later, it landed” However, while we might use “one year”, we will rarely say “three hundred and sixty five days” Granularity gives not only precision - it also the distance from “now” Larger units → longer conceptual distance The grounding time is reference time, R, which tends to centre narratives. “ON an exceptionally hot evening early in July a young man came out of the garret in which he lodged in S. Place ...” Tense with specific distance Each system of describing time evokes temporal contexts Their semantic vary depending on listener, word choice, and world model I will be there soon I will be there soon I will be there soon Some language systems attach specific distances to tenses Bamileke-Dschang: 1. She [has just] bargained 2. She bargained [earlier today] 3. She bargained [yesterday] 4. She bargained [before yesterday; some days ago] 5. She bargained [a long time ago, e.g. a year or more] “I had eaten” “I will have eaten” “I ate” E S,R E E S E R S R Target near to current time: small, precise unit Target far from current time: large unit, unfocused Funded by the EC’s FP7 under grant 611223


COUNTRY Finland KEY WORDS Remote sensing, drones, decision support systems, precision agriculture DISCLAIMER This Practice Abstract reflects only the author’s view and the Branches project is not responsible for any use that may be made of the information it contains. 46 Drones detect local variations and provide tools for agriculture Drone technologies provide tools for improving processes in agriculture and horticulture. Drones are utilized to gain knowledge for precision farming actions, document interesting phenomenon and to get general information from the fields. Drones can contribute the farming firstly by providing relative information about variation within the studied area like the yield amount, secondly by providing absolute information about the studied phenomenon like infestation status and thirdly by accomplishing small works like reseeding. The first two examples are based on imaging and the third applies specific tools developed for the drone. The drone imaging is based on passive remote sensing. The imaging data is processed to georeferenced orthomosaic of the studied area and then classified to relative classes that can be converted to absolute values by additional information. Results are like a yield map, a specific nutrient status map, soil moisture map, vegetation density or crop loss map, a weed area map or a relative infestation map. Spatial analysis methodologies or machine learning technologies are used for the classification. Additional methodologies are needed to put the classification information into actions. By the decision support systems by the detected nitrogen level variation is adjusted to the additional nitrogen fertilizer application plan. The drones that accomplish works are fully integrated systems with maximum payload being tens of kilograms. Drones do not harm the cultivated vegetation, so they can work on demand. The drones are doing pollination, fertilizer application, spraying, seeding, biological plant protection. The aviation rules regulate these operations. Drones will not replace heavy machinery and new approaches are under development. The potential of reducing chemical usage and reducing nutrient leach with working drones is huge since their capability of working repeatedly on demand without disrupting the primary vegetation. DOWNLOAD www.branchesproject.eu AUTHORS Jere Kaivosoja Oiva Niemeläinen


Modulation of early visual processing alleviates capacity limits in solving multiple tasks Sushrut Thorat1, Giacomo Aldegheri1, Marcel A. J. Van Gerven, Marius V. Peelen 1 Equal contribution Donders Institute, Radboud University, Nijmegen, The Netherlands Correspondence: s.thorat & g.aldegheri @donders.ru.nl E X P E R I M E N T A L M A N I P U L A T I O N R E S U LT S C O N C L U S I O N S R E F E R E N C E S N E T W O R K D E S C R I P T I O N P R O B L E M D E S C R I P T I O N Cheung, B., Terekhov, A., Chen, Y., Agrawal, P., & Olshausen, B. (2019). Superposition of many models into one. arXiv preprint arXiv:1902.05522. Gilbert, C. D., & Li, W. (2013). Top-down influences on visual processing. Nature Reviews Neuroscience, 14 (5), 350–363. Thorat, S., van Gerven, M., & Peelen, M. (2018). The functional role of cue-driven feature-based feedback in object recognition. In Conference on Cognitive Computational Neuroscience, CCN 2018 (pp. 1–4) Identity? Emotion? modulation Object detection as multiple one vs. all classification tasks (is this object present/absent?) • Objects: MNIST digits and their permutations When could early modulation be beneficial, in addition to late modulation, in a neural network? (i.e. overcome its wiring cost) When there are capacity limits, caused by e.g.: Small number of neurons in the network Large number of tasks the network has to perform How does the detection performance boost provided by the addition of early modulation vary with the number of tasks and units in the network? Main contrast: modulating early & late neural processing (L1 → L2 & L2 → L3) vs. modulating late only (L2 → L3) • Measure of interest: detection performance • Manipulation: number of tasks (100, 250, 500), and number of units in the hidden layer (32, 64, 128) The performance boost provided by additionally modulating early processing is • directly proportional to the number of tasks • inversely proportional to number of units in hidden layer M E T H O D S In a multi-task scenario, extracting features common to all tasks might not always be possible. Modulating early visual processing can allow early selection of task-relevant information (Gilbert & Li, 2013) 784 N CUE L1 L2 L3 x3 = [W3(g2 ∘x2)+ b3]+ L1 → L2 L2 → L3 Decision (Present / Absent) • MLP with one hidden layer • Variable number of units (N) in the hidden layer • One-hot cue indicates the task (which digit to detect) • Cue modulates transformations via bias and gain • Main network and modulation are trained jointly • Cue either modulates only the late or both early & late transformations Modulation of early neural processing increases multi-tasking performance in conditions of limited network capacity. Are the advantages of early modulation dependent on a neural network’s capacity limits? Capacity limits can be a result of there being limited number of neurons in the network and/or too many (difficult) tasks. Is this the role of early sensory modulation in biological brains? Forgoing wiring costs in favour of optimality? Further work should look at more natural datasets and tasks: Permuted-MNIST limits the sharing of early visual features In a naturalistic dataset (CIFAR, ImageNet) the effect of early modulation might be different because low-level features are shared across categories Bias modulation does not aid performance on top of gain modulation. e.g. Network (32 units, 25 tasks, early+late) trained with: • gain only modulation: 94.8% • bias only modulation: 90.9% • bias & gain modulation: 94.7% I N T R O D U C T I O N Increasing task difficulty (adding noise to digits) also increases performance boost. Modulation Permutation 1 Permutation 2


Listing of patient-matched 3D-printed radiotherapy bolus on the Australian Register of Therapeutic Goods Scott Crowe1,2,3,4, Becca Murray2, Tania Poroa1, Jenna Luscombe1, Debra Vincent1, Alex Livingstone1, Rachael Wilks1,2,3, Tanya Kairn1,2,3,4 1 Royal Brisbane & Women’s Hospital; 2 Herston Biofabrication Institute; 3 University of Queensland; 4 Queensland University of Technology Introduction 3D-printed radiotherapy bolus meets the Australian Therapeutic Goods Administration (TGA) definition of a patient- matched medical device and is therefore subject to regulatory provisions. Specifically, a manufacturer must have the device listed on the Australian Register of Therapeutic Goods (ARTG) as a class I non-measuring, non-sterile device before it can be supplied (i.e. used clinically). This requires a statement or demonstration of compliance with Essential Principles, which define the requirements for safety and performance, the satisfaction of which is summarised for bolus devices. Hazard and risk assessment A risk assessment was performed by a medical physicist, and peer reviewed by an engineer, radiation therapist and physics director. Potential hazard categories were taken from the essential principles checklist, and where potential failure modes existed, controls to minimise risk were conceived and implemented (e.g. quality control tests, instructions for use, technical file documentation). Design and manufacturing plan The technical file for the type of device included a design and a manufacturing plan, informed by ISO 13485.These: • described the device and how it differed from other solutions (e.g. sheet bolus, wax); • identified the stakeholders in design and production; • listed the design and manufacturing requirements (e.g. radiological, geometric, material properties); • described the design and manufacturing processes (e.g. segmentation, printing, post-processing); • established the responsibilities of staff members; • described how the design or manufactured device was verified or validated as meeting the requirements (e.g. quality control tests); • summarised the instructions for use (e.g. assessment of fit, handling, cleaning, disposal of device). Conclusion The supply of in-house manufactured radiotherapy bolus was facilitated with the ARTG listing. The document templates and processes developed for bolus (and other Herston Biofabrication Institute devices) have subsequently been used for the ARTG listing of radiotherapy immobilisation and positioning devices manufactured and supplied at point-of-care. Case specific documentation For each patient case, the documentation requirements were specified in the technical file for the type of device. The request, design approval (within contour system), fabrication and quality control was captured within our oncology information system, MOSAIQ. This approach allowed responsibilities to be assigned to specific staff or staff groups, and allowed the planning therapist ultimately responsible for the device to monitor progress. Patient specific quality assurance require the acquisition of a CT image of the device, which was used for an assessment of relative electron density (by Hounsfield Unit conversion) and geometric agreement with approved model (by Hausdorff distance calculation). This process was automated through in-house developed software. Ongoing maintenance and quality control testing of the printer was implemented within the departmental QATrack+ system database. A consumable inventory system was implemented within our mould room.


Classification of Open Access Tupels 2,4,2,1,1 Green We want your Data! → Der Aufruf wirkt! Mittlerweile sind die Daten von 24 Institutionen im Datahub erfasst und abgebildet, das heißt 17 öffentliche Universitäten und ISTA + private Universitäten, Fachhochschulen und Forschungsinstitute. Die abgebildeten Daten im Hub veranschaulichen einen sehr großen Teil der österreichischen, akademischen Publikationslandschaft. Open-Access-Anteile pro Jahr Publi- kation FIS / CRIS Teilprojekt 2 Austrian Datahub for Open Access Negotiations and Monitoring AT2OA2-Abschlussveranstaltung Universität Wien, 09.10.2024


GIO Structure (partial) The genetic interaction ontology (GIO) incorporating the genetic interactions structured terminology (GIST) Genetic Interaction: Phenotype Modification vs. Unexpected Whereas many published definitions of “genetic interaction” assert that there must be a deviation from an expected double perturbation phenotype1-4, many examples of genetic interactions in the literature and in biological databases5-7 include phenotype modifications like suppression or enhancement that are not necessarily reported with an expected double perturbation trait value, precluding an analysis of expectation or deviation from it. For this reason, this genetic interaction ontology has two terms for genetic interaction distinguished by their meanings as either “sensu phenotype modification” or “sensu unexpected”. Both types of interactions provide meaningful insights into the biology of the genes in question, yet they have distinct sets of conclusions that can be drawn from them. This will be important for future curation and interpretation of genetic interactions catalogued by genetic interaction databases. References 1. Eddy SR. Genetics. Total information awareness for worm genetics. Science. 2006 Mar 10;311(5766):1381-2. PubMed PMID: 16527956. 2. Mani R, St Onge RP, Hartman JL 4th, Giaever G, Roth FP. Defining genetic interaction. Proc Natl Acad Sci U S A. 2008 Mar 4;105(9):3461-6. doi: 10.1073/pnas.0712255105. Epub 2008 Feb 27. PubMed PMID: 18305163; PubMed Central PMCID: PMC2265146. 3. Dixon SJ, Costanzo M, Baryshnikova A, Andrews B, Boone C. Systematic mapping of genetic interaction networks. Annu Rev Genet. 2009;43:601-25. doi: 10.1146/annurev.genet.39.073003.114751. Review. PubMed PMID: 19712041. 4. Baryshnikova A, Costanzo M, Myers CL, Andrews B, Boone C. Genetic interaction networks: toward an understanding of heritability. Annu Rev Genomics Hum Genet. 2013;14:111-33. doi: 10.1146/annurev-genom-082509-141730. Epub 2013 Jun 26. Review. PubMed PMID: 23808365. 5. Harris TW, Arnaboldi V, Cain S, Chan J, Chen WJ, Cho J, Davis P, Gao S, Grove CA, Kishore R, Lee RYN, Muller HM, Nakamura C, Nuin P, Paulini M, Raciti D, Rodgers FH, Russell M, Schindelman G, Auken KV, Wang Q, Williams G, Wright AJ, Yook K, Howe KL, Schedl T, Stein L, Sternberg PW. WormBase: a modern Model Organism Information Resource. Nucleic Acids Res. 2020 Jan 8;48(D1):D762-D767. doi: 10.1093/nar/gkz920. PubMed PMID: 31642470. 6. Oughtred R, Stark C, Breitkreutz BJ, Rust J, Boucher L, Chang C, Kolas N, O'Donnell L, Leung G, McAdam R, Zhang F, Dolma S, Willems A, Coulombe-Huntington J, Chatr-Aryamontri A, Dolinski K, Tyers M. The BioGRID interaction database: 2019 update. Nucleic Acids Res. 2019 Jan 8;47(D1):D529-D541. doi: 10.1093/nar/gky1079. PubMed PMID: 30476227; PubMed Central PMCID: PMC6324058. 7. Thurmond J, Goodman JL, Strelets VB, Attrill H, Gramates LS, Marygold SJ, Matthews BB, Millburn G, Antonazzo G, Trovisco V, Kaufman TC, Calvi BR; FlyBase Consortium . FlyBase 2.0: the next generation. Nucleic Acids Res. 2019 Jan 8;47(D1):D759-D765. doi: 10.1093/nar/gky1003. PubMed PMID: 30364959; PubMed Central PMCID: PMC6323960. 8. Grove CA, Oughtred RW, Lee R, Dolinski K, Tyers M, Sternberg P, Baryshnikova A. Genetic Interactions Structured Terminology (GIST): A new standard for describing and annotating cross-species genetic interactions data. Biocuration 2017, Stanford University, Stanford CA. 9. Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000 May;25(1):25-9. PubMed PMID: 10802651; PubMed Central PMCID: PMC3037419. 10. The Gene Ontology Consortium. The Gene Ontology Resource: 20 years and still GOing strong. Nucleic Acids Res. 2019 Jan 8;47(D1):D330-D338. doi: 10.1093/nar/gky1055. PubMed


Funded by the European Union Milestones to be delivered during the 2nd year of RD-Connect include the development of a centralised, searchable catalogue of registries, biobanks, and locus-specific database for rare diseases (M2.1) and the publication of guidelines for standardized access and operational workflow (M3.1). The catalogue is being developed in collaboration by WP2 and WP3. Sources : ORPHANET, EPIRARE, Treat-NMD, BBMRI, EuroBioBank, Telethon Network of Genetic Biobanks, among others. Searchable by: disease name, Orpha number, ICD-10, OMIM code, type of database, country. As compared to existing inventories, the RD- Connect catalogue should offer more detailed information on the content of each database (N of samples/registered cases for a certain disease) and be regularly updated by an automatic alert system and through the active participation of biobanks/registries. That would help researchers find information on the availability of the biomaterial/data they need and shorten the times required to achieve their research results. Also, the catalogue will promote networking interaction of its members. RD-Connect online catalogue of biobanks and registries: what do we add to the existing? Sabina Gainotti*, Paola Torreri*, Elena Bravo*, Domenica Taruscio*, Heimo Muller**, Robert Rehis**, Peter Abuja**, Gaelle Blandin***, Estrella Lopez****, Manuel Posada****, Marco Crimi*****, Lucia Monaco***** *Istituto Superiore di Sanità, Rome, Italy; **Medical University of Graz, Austria; ***Univeristy of Marseille, France; **** Istituto de Salud Carlos III, Madrid, Spain; *****Telethon Foundation, Milan, Italy A template for a “visit/identity card” (ID card) has been created for pilot biobanks and registries included in the catalogue, providing essential information that researchers may need to know when they consult the catalogue: Name of the database; name of the P.I. and contact person(s); hosting country; year of establishment; sources of funding; diseases covered; procedures used for quality control. P.I. or registries/biobanks contact persons will be invited to check their ID cards with the request to accept/deny inclusion into the RD-Connect catalogue, and to provide further detail about quality standards and accessibility of samples and information. In order to achieve this goal the design of the “ID-card” will be based on proven Web 2.0/social media principles.


IODP Exp395: Reykjanes Mantle Convection and Climate Anita Di Chiara, Istituto Nazionale di Geofisica e Vulcanologia ..to reach the objectives of Expedition: 1) Oceanic crust: to test contrasting hypotheses for the formation of V-shaped ridges and troughs 2) Ocean circulation: to understand temporal changes in ocean circulation and explore connections with plume activity 3) Chemistry and hydrothermal circulation: to reconstruct the evolving chemistry of hydrothermal fluids with increasing crustal age and varying sediment thickness and crustal architecture. Fig.1 Bathymetry of North Atlantic Ocean. Black labels = Expedition 395 sites, gray labels = Expedition 384 and 395C sites, brown polygons = contourite drifts A transect over the North Atlantic.. • Expedition 395 (July-August 2023), following the previous Expedition 384 (July-August 2020) and Expedition 395C (July-August 2021), drilled a transect of a total of six sites in the Reykjanes Ridge (North Atlantic Ocean), southwest of Iceland (Fig.1). • Around the Reykjanes Ridge, the oceanic crust is characterized by a series of V-shaped ridges and troughs (Fig.2), whose origin is uncertain. • In the North Atlantic there are (contourite) sediments, deposited over the last 5 million year, which allow for reconstructing past Ocean circulation. Fig.2 Free-air gravity anomaly, red star = Iceland plume center, arrows = V-shaped ridges. A paleomagnetist job on the JOIDES Resolution: • Dating the sediments: As the marine sediments retain a record of the past magnetic field variations, a paleomagnetist can use these variations (magnetic polarity changes) to assign an age by comparing these magnetic polarity changes to a reference Geomagnetic Polarity Time scale. The oldest age of the recovered sediments is 32 million of years. • How? Measuring remanent magnetization in all the archive half-cores (Fig. 3A) and on discrete cubes (Fig. 3B) collected in the working half- cores. Fig.3. A) Measuring the half-core magnetization using the shipboard Superconducting Rock Magnetometer; B) Measuring discrete cubes with the JR6 magnetometer. (Photo credit Jen Field-Outreach Officer). A B


A comprehensive approach to computational mass spectrometry quality control Wout Bittremieux, Hanny Willems, Lennart Martens, Bart Goethals, Dirk Valkenborg and Kris Laukens biomina Pattern mining Due to the curse of dimensionality, specialized data mining techniques are required to detect patterns in the high-dimensional quality control data. Subspace mining: • Find a suitable subset of the original feature space by disregarding irrelevant dimensions • Within each subspace: clustering, outlier detection, … Subspace clustering: 1. Subspace detection: Cartification4 & frequent itemset mining5 2. Clustering in the detected (low-dimensional) subspaces Detected subspaces: • Related metrics: significant overlap with previous manually defined groups of co-occurring metrics • New relationships between metrics to be validated using expert knowledge Detected clusters: • Highly dependent on projected subspaces • Capture valid relationships between experiments (Figure 2) • Indicate faulty experimental results (Figure 3) Figure 2: Subspace clustering is able to detect rela5onships between metrics. For example, experiments that have a higher number of MS1 scans due to a higher MS1 collec5on frequency are clustered together. Figure 3: Clusters can be linked to instrument performance. For example, the highlighted cluster indicates experiments where no MS2 scans were collected due to a broken S-‐lens. The awareness has risen that suitable quality control informa5on is mandatory to assess the validity of a mass spectrometry experiment. A complementary source of qualita5ve informa5on is available in the form of the mass spectrometer instrument seHngs, which provide addi5onal insights into the opera5onal characteris5cs of a mass spectrometer. Furthermore, we have developed specialized paJern mining algorithms to interpret this high-‐dimensional data. The derived paJerns could subsequently be used to op5mize experimental design and mass spectrometry instrument seHngs. Conclusion Biomedical Informatics Research Center Antwerp (biomina) & Advanced Database Research and Modeling (ADReM) research group Department of Mathematics and Computer Science, University of Antwerp / Antwerp University Hospital, Belgium 1. Rudnick et al. (2010) Molecular & Cellular Proteomics 9:225–241. 2. Ma et al. (2012) Analytical Chemistry 84:5845–5850. 3. Bittremieux et al. In preparation. 4. Aksehirli et al. (2013) ICDM ’13 937–942. 5. Naulaerts et al. (2013) Briefings in Bioinformatics. References wout.biJremieux@uantwerpen.be Instrument monitoring Advantages of monitoring instrument settings: • Can be directly related to the part of the instrument that is malfunctioning • Highly sensitive ➞ Small differences in instrument behavior will be rapidly detected Logging of external events that occurred to the mass spectrometer instrument: • E.g. calibrations, (periodic) maintenance, unexpected incidents, … • Vital information when interpreting the evolution of the instrument settings over the course of multiple experiments iMonDB: Instrument MONitoring DataBase • Tools to extract instrument settings from experimental raw files and store these in a database for longitudinal analysis • Tools to visualize instrument settings and to record structured information about external events (Figure 1) • API for use by developers • Tools, documentation and source code released as open source and freely available from: https://bitbucket.org/proteinspector/jmondb/ Figure 1: Instrument behavior can be monitored over 5me and can be related to external events. For example, the turbo pump of the mass spectrometer broke down, resul5ng in an increased power consump5on, and had to be replaced. Mass spectrometry quality control Quality control data = standardized quality control samples (e.g. BSA samples): • Extensive frequency: Periodically ran before, during, and after experimental samples ➞ Detect problems as soon as possible • Low complexity ➞ Limited variability Two sources of quality contro


CONOCIMIENTO PARTICIPATIVO -Producción de conocimiento nuevo -Beneficios personales y sociales -Avances para el conocimiento científico Insumos para la transformación social TERRITORIO -Recurso natural -Espacio relacional -Dominación política -Representación simbólica -Territorio inmaterial Desigualdades socio- territoriales JUSTICIA AMBIENTAL Asimetrías en la toma de decisiones Movilización social y política -Movimiento social -Desigualdad en la distribución del riesgo ambiental Riesgo ambiental La producción de conocimiento participativo desde el territorio. Aportes para la justicia ambiental en la Cuenca Matanza-Riachuelo, Buenos Aires-Argentina Castro, Leticia y Arza, Valeria ¿De qué manera la participación social en la producción de conocimiento desde el territorio puede contribuir a impulsar soluciones que promuevan la justicia ambiental? CASO: CUENCA MATANZA RIACHUELO MARCO TEÓRICO MATRIZ DE ANÁLISIS DE CASOS EN PROCESO…. -Habitada por más de 4,5 millones de personas -Abarca 14 municipios,9 comunas 64 km, 2047 km2 -Valorado como recurso natural y patrimonio histórico, arqueológico y cultural -Contaminación de diversas fuentes: industriales, cloacales, residuos sólidos, producción agropecuaria CAUSA MENDOZA ANTICIPANDO LA CRECIDA- Arroyo Dupuy Laferrere INATURALIST Biodiversidad en la CMR CUENCA EN RED- Biocorredor del Cildañez TERRITORIO RS AN AN sobre representaciones previas corredor bio-cultural de la CMR Cuenca-Biocorredor- Red DESIGUALDAD P P P selección de más barrios afectados subcuencas; vulnerabilidad social zona Sudoeste de la CABA (Comunas 8 y 9) ASIMETRÍA EN LA TOMA DE DECISIONES RS RS AN asesoramiento a la gestión, jerarquización de actores comunitarios participación ciudadana-gestion responsable y sostenible gestión asociada RIESGO AMBIENTAL RS AN P medición y concientización sobre percepciones previas involucramiento y concientización factores de contaminación, contra el entubamiento MOVILIZACIÓN RS P RS trabajo con redes preexistentes énfasis en la participación ciudadana participación institucionalizada CONOCIMIENTO AN AN AN complementariedad de fuentes de datos crowdsourcing-grandes volúmenes de datos sobre el patrimonio enfoque transdisciplinario INSUMOS PARA LA TRANSFORMACIÓN AN AN AN para los sistemas de alerta temprana medición/reconocimient o de la biodiversidad para propuesta de corredor diseño de proyecto. orientación a la gestión -Entrevistas semi-estructuradas para conocer las percepciones de los beneficios personales, sociales y científicos de estas experiencias de conocimiento participativo -Fallo de la CSJN-2008 -Ordena la recomposición ambiental -Se instala como uno de los principales conflictos socio-ambientales del país This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA. Referencias: AN- Aporte novedoso P- Problematización RS-Resignificación


SI2-SSE: Foundations for as an Extensible Tool for Power Systems Research and Education Ray Zimmerman, Cornell University The information, data, or work presented herein was funded in part by the National Science Foundation (NSF), under Award Number 1642341. The views and opinions expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. What is MATPOWER? • Set of free, open-source, Matlab language tools compatible with MATLAB® and GNU Octave • For steady-state power system simulation and optimization, including: • power flow (PF) • continuation power flow (CPF) • extensible, optimal power flow (OPF) • unit commitment (UC) • stochastic, secure multi-interval OPF/UC. MATPOWER Websites http://www.pserc.cornell.edu/matpower/ https://github.com/MATPOWER/matpower MATPOWER’s Unique Combination • free, open-source license (BSD) • code that is easy to understand, customize • state-of-the-art, high performance solvers • ready-to-use realistic data included MATPOWER boosted to de facto standard • benchmark platform for power systems research • educational tool for power systems engineers and optimization What is MATPOWER? MATPOWER Core Software MATPOWER already provides robust and flexible implementations of power flow (PF) and optimal power flow (OPF), some of the most foundational problems in power systems operation and planning. Redesign core software around a general modular architecture to enable more flexible user customization and facilitate significant user contributions, while retaining and enhancing the simplicity that makes it attractive in education. To enable: • new device types (3-winding transformers, FACTS, etc.) • new power flow and optimal power flow controls • foundation for 3-phase unbalanced models for distribution networks Project Summary Expand MATPOWER’s future impact as a successful research-enabling tool for the problems of the power systems of the future by providing the project infrastructure and core software architecture needed to facilitate ongoing community-supported growth. Project Overview MATP WER MATPOWER Project Infrastructure Transition to fully open collaborative development paradigm with • public code repository (GitHub) • issue tracker (GitHub) • documentation • user and developer forums • contributor guidelines • public list of project descriptions MATPOWER Project Infrastructure MATPOWER Core Software Architecture MATPOWER Core Software MATPOWER is a research-enabling tool, used worldwide in teaching, research and industry. It’s growing momentum and impact are evidenced by • more than 2,500 citations* of 2011 MATPOWER paper [1] • more than 20,000 downloads per year (> 156,000 total) 2557 total citations (*according to Google Scholar 4/19/18) [1] R. D. Zimmerman, C. E. Murillo-Sánchez, and R. J. Thomas, “MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education,” Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12-19, Feb. 2011. [2] C. E. Murillo-Sánchez, R. D. Zimmerman, C. L. Anderson, and R. J. Thomas, “Secure Planning and Operations of Systems with Stochastic Sources, Energy Storage and Active Demand,” Smart Grid, IEEE Transactions on, vol. 4, no. 4, pp. 2220- 2229, Dec. 2013. [3] A. J. Lamadrid, D. Muñoz-Álvarez, C. E. Murillo-Sánchez, R. D. Zimmerman, H. Shin, R. J. Thomas “Using the MATPOWER Optimal Scheduling Tool to Test Power System Operation Methodologies Under Uncertainty,” Sustainable Energy , IEEE Transactions on, revise and resubmit. MATPOWER Impact 0 100 200 300 400 500 600 700 2011 2012 2013 2014 2015 2016 2017 2018 Annual Citations of MATPOWER Paper 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Annual MATPOWER Downloads by Version 6.0 5.1 5.0 4.1 4.0 3.2 3.0 2.0 1.0 MATPOWER Core Software MATPOWER 7.0 – first beta release imminent • Three new power flow algorithms for radi


Assessing the Problem The Undergraduate Learning & Community Center ULCC A day at the Rohan Kapoor & Tamana Ranka Faculty Advisor: Connie Hanel The foundation of the center’s success is twofold; first the environment created by the undergraduate school of management presents an inviting space exciting space that welcomes students in while providing supportive work stations, the next key component are the tutors that welcome and embrace our students with positive energy as they share their knowledge to promote individual success. What is the ULCC? The ULCC offers tutoring in all 7 of the School of Management prerequisite courses. • ECO 181 – Macroeconomics • ECO 182 – Microeconomics • MGA 201 – Introduction to Financial Accounting • MGA 202 – Introduction to Management Accounting • MGQ 201 – Introduction to Statistics for Analytics • PSY 101 – Introductory Psychology • Mathematics – PreCalculus and Calculus Whether you’re struggling with fundamentals or just want to boost your GPA, tutors are center-certified and here to help you meet your academic goals. If English is not your first language and you want to strengthen your communication skills, an ESL Coach is also available. ULCC tutors possess a GPA of 3.5 or higher in their designated course(s) and go through vigorous training including 10 hours of new hire training session, as well as a FERPA tutorial on maintaining confidentiality. Located in the lower level of the Jacobs Management Center, the Undergraduate Learning and Community Center includes three classrooms, a community area, tutoring facilities and a group study area all dedicated exclusively to our undergraduates, with technology throughout to enhance their experience. The project was made possible by a $500,000 lead gift from Frank, BS '66, and Marilyn Clement, with matching funding from the UB Provost's Office and an additional anonymous contribution. ULCC is place where students can walk in and feel excited to be a part of a learning and community Hub. Tutoring at the ULCC Sept. Oct. Nov. Dec. Fall Total Jan. Feb. Community Area 984 1102 815 730 3631 117 989 Learning Center & Tutoring 172 220 167 61 620 9 358 Total: 1156 1340 1000 796 4292 126 1338 The ULCC Success Story Connie Hanel Manager, ULCC


RADseq phylogenetic inferences using de novo downstream analyses as compared to single gene sequencing of the ectomycorrhizal fungus Cenococcum geophilum Jessica M. Vélez1,2, Todd W. Pierson7, Reese M. Morris1, Steven J. Lebreux1, Jessy Labbe1, Luz M. Serrato-Diaz5, Rytas Vilgalys3, Scott J. Emrich4, Christopher W. Schadt1,2,6,* 1Oak Ridge National Laboratory, 2The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, 3Duke University, 4Min H. Kao Dept of Electrical Engineering and Computer Science, University of Tennessee, 5University of Puerto Rico - Río Piedras Campus, 6Department of Microbiology, University of Tennessee, 7Department. of Ecology and Evolutionary Biology, University of Tennessee • Agricultural security is essential to economic security. • A significant portion of land is contaminated with heavy metals. • Biofuel crops such as Poplar could be planted instead. • Increasing the ability of Poplar to grow in these areas increases the potential for agricultural development and can remediate the land. • A soil symbiont may be able to increase heavy metal tolerance. • The ubiquitous and hardy fungus Cenococcum geophilum will be studied to determine if this species can increase Poplar heavy metal tolerance. • The genetic complexity of C. geophilum promotes the use of the novel ddRAD-seq technique. BACKGROUND The fungal species Cenococcum geophilum, an ubiquitously distributed ectomycorrhizal fungus which is positively associated with plant health, growth, and increased contaminant resistance. This fungus is known to associate with both angiosperm and gymnosperm tree species across 40 genera, representing over 200 total species, and is generally tolerant across a salinity gradient, water stress conditions, and extreme heavy metal contamination conditions. This wide-ranging resistance to stressful conditions in a soil environment is often attributed to a high melanin content, as C. geophilum is phenotypically deep black in coloring. This high concentration of melanin has been directly implicated to play a role in increased resistance to heavy metal contaminants. The genome of C. geophilum is among the largest in the fungal kingdom, with a mapped size of 178 Mbp and a total estimated size of up to 203 Mbp. Cenococcum geophilum has no documented sexual or asexual spore production, and is considered asexual as a species despite high levels of genetic and physiological diversity. Due to these high levels of intraspecies diversity found among C. geophilum isolates, even within isolates from a single tree, C. geophilum is proposed to be a species complex, with many studies finding significant variations in cultured isolate characteristics and physiology. This type of cryptic species population implicates the incorporation of morphologically identical members which are separate species on the genetic level. As a result, while C. geophilum appears to have a myriad of potential benefits for agricultural applications, this fungus has been difficult to study phylogenetically, as this research is necessarily resource-intensive in order to delineate the phylogenetic relationships observed within the species complex. Cenococcum geophilum SINGLE GENE versus RADseq DE NOVO ASSEMBLY 231 unique strains were isolated from 60 sites, with a total geographic range of 283 miles from central Oregon to northern Washington State. A maximum likelihood phylogeny of the Pacific Northwest isolates (left) using the glyceraldehyde 3-phosphate dehydrogenase (GAPDH) gene region revealed 15 strongly resolved (>80%) clades (numbered). Fifteen well-supported clades (>80%) were implicated within the RADseq dataset (right). Generally, there is a negative correlation (r = -0.82) between the de novo cluster and the clade assigned based on the GAPDH gene. However, when the largest GAPDH clades, 10 and 11, are examined separately, there is a positive correlation (r = 0.70) between the de novo assigned clade and the clad


GLOBAL ANALYSIS Two density peaks for winter and summer SST Progressive widening of the curve towards the high/maximum values Higher positive trend in the Eastern Mediterranean basin Mean Mediterranean SST time series SST daily trend 1982-2019 The Mediterranean, almost 40 years of continued warming Global density plot Mean Mediterranean SST presents a warming trend since the 80s of the XX century to the present time but with a strong seasonal component that can mask actual trend Positive trend for the global mean SST with the higher warming rate in the Eastern Mediterranean basin and the lower trend in the Central Mediterrane- an basin (south of Italy) REGIONAL TREND ANALYSIS SST trend component Positive trend for all quantiles for global Mediterranean Accelerated warming for 75 and upper quantiles than in lower quantiles Highest quantile trend for 75 quantile in the Western Mediterranean SST trend quantiles time series Three different zones regarding daily warming trend for SST: Western, Central and Eastern Mediterranean basins. Highest values in the Eastern basin and the northern half of the Western basin Lower values in the Central Mediterranean basin • Mediterranean SST has been consistently warming since the 80’s • Warming presents spatial variability, being higher in the Eastern Med basin • Warming made up of a higher “most frequent SST” rather than an incre- ment of extreme values • Positive warming trend in the whole Mediterranean basin • Highest trend in most of the Eastern basin and northern half of the West- ern basin, lowest but still positive trend in the Central Mediterranean CONCLUSIONS Francisco Pastor Meteorology and Pollutant Dynamics Area Fundación CEAM (Spain) Website: http://www.ceam.es/SST This work is part of the research project VERSUS CGL2015-67466-R (MICINN/FEDER), funded by the Spanish R&D&I national plan of Spanish Ministry of Science, Innovation and Universities and European Regional Development Fund and the IMAGINA-PROMETEO (PROMETEU/2019/110) fund- ed by the Generalitat Valenciana. Data source GHRSST Level 4 AVHRR_OI Global Blended Sea Surface Temperature Analysis (GDS ver- sion 2) from NCEI obtained from PODAAC (https://podaac.jpl.nasa.gov/dataset/AVHRR_OI- NCEI-L4-GLOB-v2.0)


www.p4play.eu @P4Play_EU Fiona Loudoun, Ines Wenger, Supervisors: Dr Bryan Boyle, Prof Maria Larsson-Lund, Dr Maria Prellwitz, Dr Helen Lynch, Prof Christina Schulze References: 1. Stephen, C., & Plowman, L. (2014). Digital Play. In L. Brooker, M. Blaise, & S. Edwards (Eds.), Sage Handbook of Play and Learning in Early Childhood (pp. 330–341). Sage Publications Ltd. 2. Waller, G., Suter, L., Bernath, J., Külling, C., Willemse, I., Martel, N. & Süss, D. (2019). MIKE – Medien, Interaktion, Kinder, Eltern: Ergebnisbericht zur MIKE-Studie 2019. Zürich: Zürcher Hochschule für An-gewandte Wissenschaften. 2. Moore A, Lynch H. Accessibility and usability of playground environments for children under 12: A scoping review. Scandinavian Journal of Occupational Therapy. 2015;22(5):331–44. 3. Prellwitz M, Skär L. Usability of playgrounds for children with different abilities. Occupational Therapy International. 2007;14(3):144–55. 4. Green, L., Holloway, D., Stevenson, K., Leaver, T., & Haddon, L. (2021). The Routledge Companion to Digital Media and Children; First Edition. 5. ‘Boy Playing on Ground‘ by Jiawei Cui is licensed under Pexels License. 6. ‘Girl and Boy Playing on Tablet Device’ by Alex Green is licensed under Pexels License. 7. ‘Globe image’ licensed under pinclipart.com This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No: 861257. These two projects are anchored in the concept of PLACES exploring children’s participation in play in digital spaces and the design of community play spaces incorporating universal design and natural elements. P4PLAY: RESEARCHING PEOPLE, PLACE, POLICY and PRACTICE for PLAY from the LENS of OCCUPATIONAL SCIENCE Oh’ The Places You’ll Go: Adventures Outdoors and in Digital Playgrounds Background The P4Play Marie Sklodowska-Curie (MSC) Training Network is an innovative European Joint Doctorate (EJD) programme in Occupational Science for Occupational Therapists. This EJD was established in 2020 when 2.2 m was awarded to a consortium of researchers and play advocates, in the highly competitive Horizon2020 scheme. P4play is a collaboration between 4 academic universities in Ireland, Sweden, Scotland, and Switzerland, and 15 partner organisations in Europe and the USA. The P4play programme adopts a child's rights-based perspective and aims to investigate the nature of play through the lens of People, Place, Policy and Practice (P4Play). A refocus on play as a right requires further study as a central concern (or occupation) in children's lives. Occupational Science, a science dedicated to the study of humans as doers or as occupational beings, offers a unique lens to explore play as an occupation. Methodology The centrality of participation is acknowledged by positioning children as active and agentic individuals with a to right to engage in play (4). By conceptualising children as the holder of rights, participatory methods will be utilised throughout the research to explore children’s experiences and subjective understanding of play outdoors and in digital spaces. Play in Digital Spaces A scoping review will be initially conducted to identify and examine the literature exploring children’s perspectives of play in digital spaces for children from infancy through to adolescence. This research will consist of 3 participatory studies which will involve children across the trajectory of childhood. Age appropriate methodologies such as observation, photo-elicitation interviews, and storyboard collage groups will be used throughout data collection. Play in Outdoor Play Spaces This research will consist of four studies, investigating the perceptions of playground users (children with and without disabilities aged 7-12 years and their parents), playground builders (e.g. architects, landscape architects), and experts of Universal Design regarding inclusive playgrounds through multiple methods (interviews, focus


in 2013 and 2015, respectively. He is currently a Marie Skłodowska-Curie research fellow. His research topic is the development of driver distraction detection and human-machine interface evaluation methods for multi-actuated ground vehicles. His research interests include human-machine interface, fuzzy systems, machine learning, vehicle safety, ADAS. A novel robust driver distraction detection and evaluation algorithm based on machine learning and fuzzy theory combination is developed. Driver-in-the-loop experiment with Skoda Auto facilities (advance testing of driver decoy workshop) and in cooperation with IPG Automotive GmbH (Secondment 1; 3 month). Publications: “Driver distraction while performing a secondary task evaluation approach based on fuzzy expert system”, 10th Graz Symposium 2017. “A Method of Driver Distraction Evaluation Using Fuzzy Logic”, IEEE ICAT 2017. “Design of Regenerative Anti−lock Braking System Controller for 4 In−Wheel−Motor Drive Electric Vehicle with Road Surface Estimation”, TBD “Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic”, TBD “Driver performance prediction by solving regression analysis”, TBD “Induced by In-Vehicle Information System Driver Distraction Detection and Evaluation Method”, TBD “Driver performance prediction with regression analysis”, TBD Interdisciplinary Training Network in Multi-Actuated Ground Vehicles DRIVER ASSISTANCE MEASURE FOR LOW-EMISSION MAGV https://iteam-project.net CONTACT INFO FUTURE STEPS OUTCOMES PROGRESS ACHIEVED ESR 08: Andrei Aksjonov, MSc. ŠKODA Auto a.s. | Concept Development | Volkswagen Group Tř. Václava Klementa 869, 293 01 Mladá Boleslav II, Czech Republic +420 734 249 830 | andrei.aksjonov@skoda-auto.cz ACKNOWLEDGEMENT This Research receives funding from the European Community Horizon 2020 Framework Programme under grant agreement No. 675999. · Development method of testing and assessment the secondary task impact to the safe vehicle operation, which is exploited for different human-machine interaction technologies comparison and as a benchmark for safe and clear in-vehicle information system design with minimal driver’s burden; · Development software tool for on-board simulation driver decoy on in-vehicle secondary task execution; · Verification simulation results with respect to correctness and completeness on the advanced driving simulator based on a real vehicle platform with identical control elements like steering wheel, pedals, 3D scene and consistent road topology with real test field. Host institution: ŠKODA Auto a.s. Primary supervisor: Pavel Nedoma, PhD Secondary supervisor: Zdeněk Franc, MSc Planned secondments: IPG Automotive GmbH (3 month); Università degli studi di Pavia (2 month) MSc. Andrei Aksjonov OBJECTIVES AND WORK PLAN Andrei Aksjonov received his BSc and MSc in electrical drives and power electronics with automation specialization from Tallinn University of Technology The method capable not only to detect driver distraction induced by secondary activity, but also to evaluate its impact on traffic safety is developed. The algorithm operates as follows: vDesign each individual driver normal driving model using machine learning (ANFIS, ANN, ED, k-NN); vPredict driver behavior and compare it with driver distraction lap; vEvaluate (fuzzy logic) level of driver distraction based on vehicle dynamic performance. Predictor dx dv Vl r dvp dxp dvr dxr DD        dv dv dv dv dv dv dv p p p r , ,0        dx dx dx dx dx dx dx p p p r , ,0 Driver Vehicle Environment Dynamics Performance Distraction detection Secondary task Actuation Performance prediction Road Elaboration of the driver advisory functions related to the vehicle and traffic safety improvement, emission reduction and energy-efficiency increase. These functions will be realized in human-machine interface (HMI) systems with visual and haptic channels supporting interactions between the driver and on-board systems of Multi-Actuated G


Recovery of TESS Stellar Rotation Periods with Convolutional Neural Networks Zach Claytor and Jennifer van Saders Institute for Astronomy, University of Hawaiʻi Conv2D MaxPool2D Dense x3 x2 We train our network on wavelet power spectra of simulated light curves with real TESS systematics, then predict both the rotation period and its uncertainty. Predicting the period uncertainty lets us select objects with more confident estimates. With this selection, we recovery 60% of objects’ periods to within 10% accuracy. TESS period recovery efforts are confounded by mission systematics. But can neural networks see through the noise? zclaytor@hawaii.edu @AstroClayt zclaytor ●NNs can “learn” the noise and ignore it to some extent. ●We are currently testing our network on a number of simulated and real light curves. ●Look for this on the arXiv in the coming weeks!


Backfilling the Maxwell HPC User demands on resources the Maxwell HPC cluster correlates with the data taking of the EuXFEL and photon experiments on site. During low demand, we backfill sections of the cluster with opportunistic grid jobs through a dedicated ARC CE. As demand can change quickly and for data taking responsiveness is crucial, evacuation time has to be in the order of seconds. Authentification As users require long-running jobs over several days and rely on their AFS-HOME directories as well as scratch and long-term storage mounted over NFSv4, token handling is crucial. We implemented a token renewal service to allow for such long-running jobs to access the mounted network home directories over their whole lifetime. Chaining Storage and High-Throughput Computing to each other Event-driven Automatised Workflows and FaaS-Offloading Consolidating the interactive analysis and Grid infrastructure at DESY. Classic workflow engines rely primarily on “polling” the different states in their connected systems such as storage instances and compute clusters. In contrast event based workflows allow for a “push” approach, where different actions can be combined, chained and forked to powerful workflows. To integrate various systems into such a workflow engine, a common message bus for exchanging events as well as a function registry for acting on events is needed. With dCache Storage Events as prime example [4], we are working on combining our storage instances and offline computing resources into one workflow environment, e.g., to allow new files to automatically initiate their own processing as for calibration tasks. Here, a dCache instance creates for each file change a Storage Event and relays it over the Kafka bus. To react on matching events and initiated further actions, functions are registered in a dynamically scalable OpenWhisk Function-As-A-Service platform. However, FaaS lambdas are intended as primarily low-latency, fast processing programs with a standardised API, we are working on offloading the actual heavy processing tasks via functioninalised remote submission to our HTCondor batch system. Combined with anonymous jobs, this allows for dynamically scaling out to computing resources. Anonymous Jobs with Authorization Tokens While classical jobs run under a user ID and read files belonging to such an user ID, this requires a common global identify namespace over all involved resources. Moving from authentication to an authorisation based resource control will allow to be more secure and especially flexible with function workflows. In a token-based scheme, only a central token generator and authentication instance is be needed. Here, a lambda token generator is the only compute instance matching an identity to resources. On a matching event, it request on behalf of the ID authorisation tokens from the storage and compute elements. The tokens can be strictly limited to the needs of the actual processing event, e.g., requesting from a dCache instance read-only Macaroon tokens [4] for input files and limit write abilities to a confined output path. Similarly a submit token to the HTCondor batch system might be requested and added to the compute event. The aim is for a self-sufficient event, that includes as tokens all necessary file inputs and outputs as well as compute resources. Followingly, a compute job based on such a self-sufficient event could run locally under an anonymous user and stage files in/out by its Macaroons. Such an anonymous job could also be scaled out to other compute resources, as it is decoupled from the inital ID namespace. Anonymous Job File I/O Macaroon LRMS Token predef. Fcn/Job f(x) LRMS Storage Storage { "read": { "path": "/pnfs/.../myinfile.root", "macaroon": "MDAx...97MK", "endpoint": "https://dcache-door.in:2880" }, "write": { "path": "/pnfs/.../output.d", "macaroon": "MDAx...5JCg", "endpoint": "https://dcache-door.out:2880" } "exec": { "function": "my_fcn_ns.my_reprocessing_fcn" },


The toxicity testing experiments resulted in a final list of 22 compounds that interfered with development of the neuromasts. Example Results of Toxicity Testing Many industrial chemicals are released into the environment every year without a full assessment of their adverse effects on human life and the ecosystem. We are in urgent need of new screening methods that are rapid and can predict toxicity across species. We aim to understand the developmental toxicity effects of some of these environmental pollutants on the zebrafish posterior lateral line which is made up of neuromasts. Zebrafish, like other fish species, use their neuromasts to sense water flow. Introduction Acknowledgements • This research was funded by National Institute of Health (P30ES023512). • The transgenic fish (GW57A) were obtained from Vladimir Korzh Institute of Molecular and Cell Biology (IMCB), Singapore References Gallardo, V. E. et al. Phenotype-driven chemical screening in zebrafish for compounds that inhibit collective cell migration identifies multiple pathways potentially involved in metastatic invasion. Disease models & mechanisms 8, 565-576, doi:10.1242/dmm.018689 (2015) The views expressed may not reflect US EPA policy Conclusions/Future Directions • We developed a method for rapid screening of large number of chemicals to identify zebrafish neuromast disruptors. • We identified serotonin as a possible pathway being targeted by the disruptors which we confirmed through some preliminary experiments. • We theorize that Serotonin doesn’t only regulate mood, but also plays a role in cell proliferation/motility. Our next step would be to test the newly identified serotonin effectors on different cancer cell lines to better understand the role of serotonin in cancer metastasis. Serotonin http://tobeagenius.tumblr.com/tagged/infographic • Zebrafish embryos expressing green fluorescence in neuromasts were exposed to ~300 pesticides/antimicrobials at 3 concentrations within hours of being fertilized. • After 4 days of exposure to the chemicals, the embryos were imaged and analyzed. • All chemical testing was completed within 6 months. Methods and Results High Throughput and Follow-up Screens *dpf – days post fertilization; **hpf – hours post fertilization Testing Serotonin Effectors on Neuromast Development https://sapiensoup.com/serotonin Gilmour Group – Eu. Mol. Bio. Laboratory Monroe et al. – Front. Cell. Neurosci., 2015 Rachna Mirchandani1, Savini Thrikawala1, Cliff Stephan2, Nghi Nguyen2, Mary Sobieski2, Richard S Judson3, Jan-Åke Gustafsson1, Maria Bondesson4 1Dept. of Biology and Biochemistry, University of Houston 2Center for Translational Cancer Research, IBT 3National Center for Computational Toxicology, US EPA 4Intelligent Systems Engineering, Indiana University Developing the Zebrafish Neuromast Assay as a Predictive Toxicity Model André Künzelmann, UFZ


Title: Subtitle Leeroy Jenkins, author2, author3, author4 ! ! Can we understand exoplanets better if we use both high res spectra and direct images in a machine learning pipeline? Simultaneous detection and characterization of exoplanets using machine learning Rakesh Nath (rakesh.nath@uliege.be), Olivier Absil η = 0.01 Obtain raw cube for consisting of images and spectra • Use a 1DCNN to discriminate between spectra with and without plane. • Use a deep MLP to regress to ! and ! log(g) Teff 1. Measure the spectrum for each spaxel and normalize by total 2. Compute a reference spectrum and divide it out of the bins 3. Compute PCA and subtract most of the stellar components from the spectrum. HIGH CONTRAST IMAGING HIGH RESOLUTION SPECTROGRAPHY MACHINE LEARNING η = 0.1 Exoplanet detection and characterisation are typically conducted independently. In principle, however, complete information of the diversity in exoplanetary systems cannot be captured by either method independently. A number of recent papers have combined detection and characterisation simultaneously(Hoeijmakers et al 2016 etc.). However, these papers have only combined both detection and characterisation by processing the same data through independent methods. Therefore there is a need to combine these co-dependent techniques using a common pipeline. We phrase the detection of planet using pure spectra as a classification problem. We use synthetic data to train a 1D CNN. The hypothesis equation is defined as ! Where ! if a planet is present. We use the Pickles catalog to generate ! of G-M type stars and the BT-SETTL Ames to generate ! of planets with ! . We have tested this for different values of contrast ! . If a planet is detected then we feed the spectra to an MLP to regress to ! . F(λ) = F⋆(λ) + μFp(λ) μ = 1 F⋆(λ) Fp(λ) 800 < Teff < 1200K η (Teff, log(g)) INTRODUCTION METHODS Regress to ! , completed training, testing in progress Combine the disparate steps into a single integrated pipeline HCI+new data from Keck planetary imager and characteriser (KPIC) (Teff, log(g)) RESULTS NEXT STEPS ML Crosscorrelation


#1.40 - DETERMINANTES DE RENDIMIENTO EN EL JUEGO DE CARTAS DE PERCEPCIÓN VISUAL "SET" de la Hera, Diego Pablo1,*; Rosso, Anahí2; Roulet, Nicolás2; Sigman, Mariano1; Calero, Cecilia Inés1 1. Laboratorio de Neurociencia, UTDT - CONICET; 2. FCEN, Universidad de Buenos Aires * delahera@gmail.com http://cor.to/aacc19 ¡Llevá una copia! CLASIFICACIÓN 1x PRÁCTICA 3x PRUEBA 10 40 40 40 * SUBTIPO: ATRIBUTO EXTRAÑO forma color textura número 4 atributos EL JUEGO © 2017 Set Enterprises, Inc. EJEMPLOS (NoSet) (Set) Set 1-diferente 2-diferente 3-diferente 4-diferente i- 1-roto 2-roto 3-roto 4-roto i- NoSet forma diferente color diferente textura diferente número diferente forma igual color igual textura igual número igual forma rota color roto textura rota número roto forma sana * color sano textura sana número sano TIPO SUBTIPO ATRIBUTO EXTRAÑO si para todos y cada atributo REGLA SET ó (igual) (diferente) * sano = no roto METODOLOGÍA 1 2 3 A B C La identificación correcta de NoSets es más rápida que la de Sets. La identificación de NoSets es más rápida cuanto mayor es el número de atributos rotos. La identificación de Sets es más rápida cuanto menor es el número de atributos diferentes. Los ejercicios tipo Set son más fáciles de identificar correctamente. Muestra: 30 jóvenes adultos universitarios (rptas correctas ≥ 80%, n=26) 3 cartas por ejercicio. Responder Set/NoSet con teclado. 10 segundos máximo por ejercicio. Feedback en respuestas incorrectas 10 ejercicios de práctica 120 ejercicios de prueba, divididos en 3 bloques 10 ejs. - 1 Set 4-dif. - 2 Set 1-dif. - 2 Set 3-dif. - 5 NoSet (al azar) 120 ejs., 40 por bloque - 6 Set 4-dif. - 6 x 4 Set 1-dif. - 6 x 4 Set 3-dif. - 2 x 6 Set 2-dif. - 54 NoSet (al azar) más lento más rápido Si sólo un atributo es diferente, es preferible que sea el color o el número, frente a la textura. Si sólo un atributo está sano, es preferible que sea la textura o la forma, frente al número. Si sólo un atributo es igual, es preferible que sea el número o la textura, frente al color o la forma. Identificar factores perceptuales y cognitivos que modulan la identificación de Sets y NoSets. Comparar: (i) Sets vs NoSets, (ii) Sets en función del número de atributos diferentes, (iii) NoSets en función del número de atributos rotos, y (iv) la saliencia perceptual de los atributos. OBJETIVOS ACIERTOS TIEMPO DE RESPUESTA (respuestas correctas) SALIENCIA DE ATRIBUTOS Set NoSet i si para al menos un atributo (roto) REGLA SET * z-score por subtipo * Test del signo Test t pareado Set 1-diferente (atributo diferente) ejemplos ilustrativos Set 3-diferente log(rt) z-score * (atributo igual) ejemplos ilustrativos log(rt) z-score * ejemplos ilustrativos Set i-diferente 0 p<.001 Modelo mixto NoSet i-roto 0 p<.001 ejemplos ilustrativos Modelo mixto NoSet 3-roto log(rt) z-score * (atributo sano) ejemplos ilustrativos ANOVA + Tukey SET es un juego de cartas de percepción visual, desarrollado en 1974 por la genetista de poblaciones Marsha Falco. Aunque su estructura ha motivado varios estudios en el campo de las matemáticas1, sus características cognitivas y perceptuales no han sido estudiadas en la misma profundidad2,3. En este trabajo examinamos factores que modulan el desempeño en el juego SET, con el objetivo de caracterizar este paradigma para su uso en nuestros estudios sobre enseñanza entre pares. CONCLUSIONES - Los ejercicios tipo Set son más fáciles de identificar. - La identificación correcta de NoSets es más rápida que la de Sets. - En Sets, la diferencia es más demandante que la igualdad. - En NoSets, el número de atributos rotos acelera la identificación. - Describimos saliencia relativa de atributos en distintos contextos. Las barras de error en los gráficos de barras, y las bandas translúcidas en los gráficos de dispersión, representan intervalos de confianza del 95% obtenidos con el método bootstrap de remuestreo. *: p < .05, **: p < .01, ***: p < .001. Se verificó el cumplimiento de todos los supuestos de las pruebas


expert authors of the DINI Certificate 2022 DINI e. V. Support improvement of information and communication services and further development of information infrastructures: At higher education and research institutions, On regional and national level. For Repository Operators / Hosts: Get orientation about best practices in the repository landscape; Ensure that you remain interoperable (metadata schemes, interfaces, technical side ...); Gain trust for your repository (the DINI Certificate stands for quality and trustworthiness / reliability). 32 Outreach License information (logos excluded): Creative Commons Attribution 4.0 International, https://creativecommons.org/licenses/by/4.0/deed.de On behalf of the DINI working group of Electronic Publishing: Pascal-Nicolas Becker, The Library Code, https://orcid.org/0000-0003-2169-1261 Daniel Beucke, Göttingen State and University Library, https://orcid.org/0000-0003-4905-1936 Isabella Meinecke, Hamburg State and University Library, https://orcid.org/0000-0001-8337-3619 Marcel Meistring, Helmholtz Open Science Office, https://orcid.org/0000-0001-6347-9926 Jochen Schirrwagen, RWTH Aachen University, https://orcid.org/0000-0002-0458-1004 This poster is an updated version based on: Vierkant et al. (2019). Trust me, I‘m a repository manager. Open-Access-Tage 2019 (OAT19), Hannover, Deutschland, https://doi.org/10.5281/zenodo.3449041. The Certificate The DINI Certificate of Open Access Publication Services 2022 pursues the following goals: Improving the publication infrastructure for electronic publishing; I. Strengthen Open Access based forms of publishing; II. Integration into national and international research infrastructures. III. 103 Submissions since 2004 7 The DINI Certificate Is frequently referenced in working papers of international infrastructure projects and initiatives for repositories and Diamond Open Access, such as DIAMAS, COAR, OpenAIRE; Is presented and discussed with the repository community at national and international conferences (e.g. Open Access Days Germany, PUBMET); Has taken steps towards internationalization (adaption to the requirements of Austrian publication services); Is recommended by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for publication in trustworthy repositories; On-going development of the certificate also in the context of projects of the WG members (e.g. PID Network, openCost, CRAFT-OA); Is available in English and German. Who is DINI ? DINI (Deutsche Initiative für Netzwerkinformation / German Initiative for Network Information) founded in 2002; Member institutions such as research libraries, IT centers, media and service facilities; Organized in seven working groups. Aim and Mission No. of certificate versions since 2004 Publicize and recommend best practices; Foster the development of standards and their implementation; Register and advertise Competence Centers using modern web-based technologies; Improve interdisciplinary exchange through congresses, workshops, expert conferences, etc. Advertise funding programs and encourage new ones. Goals The present catalog of criteria translates these general expectations of scientific publishing into concrete minimum requirements of Open Access publication services. 71 Minimum requirements 53 Recommentations Within 11 certification aspects: Visibility of the services; Guidelines (policy); Support of authors and publishers; Legal aspects; Information security; Indexing and interfaces; Open metrics; Long-term archiving; OAI interface; OAI-PMH: additional requirements; Metadata requirements of the OAI interface. Revised by experts every three years. For Users: Deposit your resource in a reliable / trustworthy repository; Be sure your work will be permanently available; Be sure your work can be found in the best possible way / has optimal visibility (metadata, interfaces, indexing ...). For Institutions: Show the world your efforts and Commitment for the permanent operation of a


TOI 4562 b young planets are key: HIP 67522 and TOI 4562 Alexis Heitzmann, Marsden S., Zhou G., Wright D., Petit P., Huang X. C., Quinn S. Observations are mandatory for validating models explaining the formation & evolution of planetary systems Specifically, we need to map planet characteristics (mass, radius, orbital eccentricity, spin-orbit alignment...) as a function of time It is of utmost importance to focus on young (between disk dissipation and a few 100 Myr) systems because: It is where most of the changes happen (atmospheric evaporation, planet migration...) This primordial population is lacking in the current sample But young stars are very challenging to find and planet characterisation is greatly hindered by stellar activity We built from scratch a model to recover the obliquity, accounting for stellar surface spots The orbital plane of HIP 67522 b is aligned with its star's spin-axis HIP 67522 b is the youngest Jupiter sized planet with precisely measured obliquity HIP 67522 b is a significant addition to the planet obliquity distribution, where planets below ~100 Myr all seem to be well-aligned! Scan the QR code Age: 17 Myr Period: 6.96 days Radius: 0.93 (10 ) Mass: Unknown Obliquity: 6 ± 6 degrees HIP 67522 Age: 300 ± 190 Myr Period: 225.1 days Radius: 1.15 Mass: 2.3 Eccentricity: 0.77 1 Myr 10 Myr 100 Myr 1 Gyr 10 Gyr Second longest period planet in the TESS sample 2 years of RV follow-up yielded precise mass and eccentricity One of the most eccentric young planets (see poster background) Why is this TOI 4562 b so eccentric? Well, one (out of 4) transit is late by ~25 min, a strong indication of a perturbing companion! Probably not on its path to becoming a Hot Jupiter, unless eccentricity oscillations can trigger tidal circularization. 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 1.0 0.1 0.01 0.3 0.5 0.8 0.03 0.05 0.08 0 50 150 100 10 100 1 000 10 000 TOI 4562 ⊕ R (Heitzmann et al. 2021) (Heitzmann et al. to be submitted) alexis.heitzmann@usq.edu.au Jup R Jup M Jup R b b Semi major axis (AU) Eccentricity Age (Myr) Obliquity (degrees) By following up 2 young planets found by TESS (HIP 67522 b and TOI 4562 b), we meaningfully contribute to the young planet sample! My ADS & > 6 (Jupiter sized) < 6 (Neptune sized) ⊕ R ⊕ R HIP 67522 b (If you like this plot, go check out poster 102.174 by J. Dong) b b


ChatBot Duel: AI vs. Online Surveys ONLINE SURVEYS: YOUR INPUT, THEIR SILENCE Online surveys aim to collect information from participants who respond to the link through internet-based communicatio n technologies ( i.e., platforms and email). Structure Including open-ended and close-ended questions (i.e., yes/no questions, multiple choice, scaled questions) based on the purpos e of the survey. predominance In the 1990s, the emergence and proliferation of online surveys replaced the predominance of traditional surveys owing to thei r strengths relative to cost and speed. 89% of clients and suppliers use online surveys on a regular basis to gain insights from customers. Advantages Reduces data collection time and costs by being available 24/7 for respondents to access and complete. Be safer and more confidential for respondents when being asked about sensitive questions or discussing sensitive topics. Disadvantages Lack of engagement, questionnaire design without interactivity, surve y fatigue , complexity , inconvenience , a nd respondents’ lack of diligence. Chatbots: Get Your Survey BACK! Statistics Surveys Compared to online surveys, chatbots can generate higher response rates and higher quality information in the aspect of ite m differentiation and missing questions. By using such natural and conversational interfaces for chatbot-led survey design, participants may feel more comfortable an d interested in proactively interacting with this survey tool. This humanlike conversation between chatbots and respondents in the process of survey completion can trigger a high level of self -disclosure because they treat chatbots as interaction partners. Beyond Human: Chatbots Crafting the Future of Surveys This research incorporates the notion of media richness theory that the degree of information dissemination is capable o f enhancin g th e degre e o f a receiver’ s understanding , providi ng theoretic al suppo rt f or t he equivale nt potenti al of chatbo ts to online tools in conducting surveys for market research. Contribute to the existing literature on AI conversational marketing. 1 Contributions Provide guidance for marketing practitioners about the strategic use of chatbots in surveys to obtain insightful information and data from respondents. 2 Presenter: Liz Yingxue Zhao (UABS Marketing PhD Candidate)