†, June Young Lee, JinhyukYun, SejungAhnKorea Institute of Science and Technology Information, 66 Hoegi-ro, Dongdaemoon-gu, Seoul 02456, Korea 23rd International Conference on Science and Technology Indicators The application of scientometric indicators is crucial to both research evaluation and the advance of science itself also (Chen & Song, 2017). In keeping with these factors, Korea Institute of Science and Technology Information(KISTI) developed the ‘Insightful Integrated Indicators Metrics(i*Metrics)’ to calculate scientometric indicators for journal publications patents. In this study, we investigate the research profiling of gender studies for 11 countries using journal papers published from 1999 to 2017 by KISTI i*Metrics system with 11 indicators INTRODUCTION 01 Using SCOPUS Database developed at KISTI from the SCOPUS XML Custom Data provided by Elsevier 02 Creating the dataset applying ASJC codes classification system of SCOPUS for the ‘gender studies’ 03 Analysing 29,219 research publications with document type of article, conference paper, and review published by 11 countries (1999 ~ 2016 ) DATA & METHODS Number of Publication (NP) Activity Index (AI) Compound Annual Growth Rate (CAGR) Times Cited (TC) Citations per Paper (CPP) Attractivity Index (AAI) Mean Normalized Citation Score (MNCS) Excellent Journal Rate (EJR) Paper Collaboration Size (PCS) Diffusion Rate to Others (DRO) Absorption Rate from Others (ARO) 11 INDICATORS Chen, C., & Song, M. (2017). Measuring Scholarly Impact. In Representing Scientific Knowledge: The Role of Uncertainty (pp.139- 204). Springer. Tsay, M. Y., & Li, C. N. (2017). Bibliometric analysis of the journal literature on women’s studies. Scientometrics, 113(2), 705-734. REFERENCESSCIENTOMETRICINDICATORSOFGENDERSTUDIESBYCOUNTRYThe table shows the overall results of the scientometricindicators analysis of gender studies in 11 countries. All figures for each indicators excluding NP and TC are averaged for the yearly calculated values. The USA has the highest NP and AI, and Sweden and the Netherlands are strong at EJR and MNCS values. Meanwhile, Asian countries such as India and South Korea were particularly vulnerable to productivity and influence & excellence indicators such as NP, AI, CPP and so forth. (a) (b)RESEARCHACTIVITIESANALYSISOF11COUNTRIESThe USA published the most journal papers with share of 57.45% of total NP, and had the highest values for AI and AAI indicators also. It shows that the USA has played a leading role in terms of research activities in gender studies. As a result of analysing the qualitative aspect of publications applying MNCS and EJR (Figure (a)), Sweden and the Netherlands were outstanding countries. Figure (b) shows the degree of collaboration by discipline and country through DRO, ARO and PCS. Generally, gender studies is referred as interdisciplinary field (Tsay& Li, 2017), and the analysis result partially support this opinion for gender studies. (a) (b)INDICATORCOMBINATIONANALYSISOF11COUNTRIES †Corresponding author: kisti0746@kisti.re.kr


Postinfectious Bronchiolitis Obliterans (PIBO) Among Children In Malaysia: A Retrospective Study LUI Sze Chiang1, CHE DAUD Che Zubaidah1, MOHAMMAD N.Fafwati Faridatul Akmar1, KAMAL Maria1, MUSA Azizah1, SHARIBUDIN Nor Khailawati1, ZAINUDDIN Hafizah2, MOHD HAIRI Farizah3, GAN Eu Ann4, KAILASAM Pavithira Devi5, NG Eunice Chin Nien6, GAN Cheng Guang7, GANAPATHI Rasheila8, ABU OSMAN Mohd Shahrulfahmi9, A RAZAK Hasliza10, ABD RAHIM Siti Aishah11, NG Wen Ying12, KASSIM Asiah1 1. Hospital Tunku Azizah, Kuala Lumpur 7. Hospital Segamat 2. UiTM Selayang Campus, Kuala Lumpur 8. Hospital Enche’ Besar Hajjah Kalthom, Kluang 3. Faculty of Medicine, University of Malaya 9. Hospital Duchess of Kent, Sandakan 4. Hospital Melaka 10.Hospital Sultanah Aminah, Johor Bahru 5. Hospital Pakar Sultanah Fatimah, Muar 11.Hospital Wanita dan Kanak-kanak, Likas, Kota Kinabalu 6. Hospital Sultanah Nora Ismail, Batu Pahat 12. Hospital Sultan Ismail, Johor Bahru. Table 1: Demographic Characteristics of the Study Population ID : P-115 NMRR-19- 3699-49459 INTRODUCTION: Postinfectious bronchiolitis obliterans (PIBO) is an irreversible obstructive lung disease following lower respiratory tract infection (LRTI) in children, especially during the first three years of life1. PIBO diagnosis is based on clinical and radiological changes. It is estimated that 1% of LRTI in children will develop PIBO. However, the local data are scarce. OBJECTIVE: To describe the characteristics of the children less than five years old diagnosed with PIBO from the year 2015-2019 (5 years period). METHODOLOGY: A retrospective study involved ten hospitals under MOH visited by a Respiratory Paediatrician. Children less than five years old diagnosed with PIBO between 1st January 2015 and 31st December 2019 were recruited. The diagnosis was made by the Visiting Respiratory paediatrician from clinical and radio-imaging. For the study, all radiological images were reported by a designated paediatric radiologist. Data were entered into SPSS version 26 and analyzed. Table 2: Clinical history among patients with PIBO in Malaysia Figure 3: Pathogens causing LRTI and PIBO in children ACKNOWLEDGMENT: We would like to thank the Director-General of Health Malaysia for his permission to present this poster. REFERENCES: 1. Yu J. Postinfectious bronchiolitis obliterans in children: lessons from bronchiolitis obliterans after lung transplantation and hematopoietic stem cell transplantation. Korean J Pediatr. 2015;58(12):459-465. doi:10.3345/kjp.2015.58.12.459. 2. Li YN, Liu L, Qiao HM, Cheng H, Cheng HJ. Post-infectious bronchiolitis obliterans in children: a review of 42 cases. BMC Pediatr. 2014;14:238. Published 2014 Sep 25. doi:10.1186/1471-2431-14-238. 3. Chan KC, Yu MW, Cheung TWY, et al. Childhood bronchiolitis obliterans in Hong Kong-case series over a 20-year period. Pediatr Pulmonol. 2021;56(1):153-161. doi:10.1002/ppul.25166. 4. Eber CD, Stark P, Bertozzi P. Bronchiolitis obliterans on high-resolution CT: a pattern of mosaic oligemia. J Comput Assist Tomogr. 1993;17(6):853-856. doi:10.1097/00004728-199311000-00003. DISCUSSION: In this study, children with PIBO were young (median age=15 months), male, and Adenovirus was the commonest pathogen, similar to the previous study2,3. Diagnosis of PIBO can be made as early as one-month post lung infection(Median age=2 months). Prematurity and history of ventilation during the neonatal period were found in at least 28% and 16% of children, respectively, which may be due to abnormal growth of a premature lung postnatally. Environmental factors like tobacco smoke exposure in 50% of children may increase the risk for the development of PIBO. At least 30% of them had a family history of atopy that may be related to an immunological response following lung infection in this group of children. More than 70% of the children required respiratory support during their first respiratory infection leading to PIBO. This may indicate the severity of infection, which


Objective helene.hoffmann@tu-dresden.de http://tu-dresden.de/med/imb Contact Helene Hoffmann Institute for Medical Informatics and Biometry Medizinische Fakultät Carl Gustav Carus Technische Universität Dresden HaematoOPT is funded via the BMBF 0 500 1000 1500 2000 time [days] 10-2 100 102 NPM1/Abl [%] 0 500 1000 time [days] 10-2 100 102 NPM1/Abl [%] Correlation of relapse time and parameters Measurement error and time Relapse prediction A Ω LA HA LO HO KA KO ↯ X ⟳ph ↯ X ⟳pl tlo therapy action - leukemic - healthy tla tho tha dl dh cl ch quiescent stem cells cycling stem cells A Mathematical Model for Relapse Prediction in AML Patients Based on Continuing NPM1 Measurements H. Hoffmann1, I. Glauche1, C. Thiede2, M. Bornhäuser2, M. Kramer2, C. Röllig2, I. Roeder1,3 1Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, TU Dresden, Germany 2Medizinische Klinik und Poliklinik I, Faculty of Medicine Carl Gustav Carus, TU Dresden, Germany 3National Center for Tumor Diseases (NCT), Partner Site Dresden, Dresden, Germany In order to detect minimal residual disease (MRD) with high sensitivity in AML patients it is necessary to monitor molecular leukemia markers, such as mutations in the NPM1 gene (Shayegi 2013, Blood), which occur in about one third of AML patients (Falini 2005, N Engl J Med). Today the relative NPM1 abundance in the bone marrow is routinely used for relapse detection (Gorello 2006, Leukemia; Papadaki 2009, Br J Haematol.). For more precise relapse time predictions to improve individual treatment strategies and final outcome we developed a mathematical model describing the effected stem cell compartment in the bone marrow and used the NPM1 measurement data for individual relapse predictions. Furthermore, we analysed the impact of measurement error and time point of measurements on the prediction accuracy. Clinical data Example fits Available data set for our study: Number of patients 271 Number of relapsed patients 74 Median Age 53 (20-79) Median number of measurements 5 (3-21) Median number of therapy cycles 4 (1-10) - AML2003 (NCT00180102) - AML60+ (NCT00180167) Clinical trials: Bone marrow NPM1 time courses of AML patients: of the Study Alliance Leukemia Conclusions The developed mathematical model is able to reproduce the decline of leukemic burden, remission and molecular relapse of AML patients. The individual patients' model parameters are strongly connected with their time of relapse and they can be used for estimating relapse probabilities. Theoretical analyses showed that individual relapse time prediction can be strongly improved by reducing the measurement error and by increasing the measurement frequency. to - activation rate ta - inactivation rate p - proliferation rate c - therapeutic kill rate d - differentiation rate K - capacity Mathematical model ˙XA = Inactivation −Activation ˙XO = Activation−Inactivation+Proliferation−Differentiation−TherapyKill • two bone marrow compartments: one with quiescent (A) and one with cycling cells (Ω) • cells switch between compartments • therapy kill acts only on cells in Ω • leukemic and healthy cells compete for bone marrow space • leukemic cells proliferate faster, are faster activated and slower inactivated Model assumptions: - AMLRegistry High vs. low parameters: 0 5 10 15 20 25 tl o/pl 0 0.2 0.4 0.6 0.8 1 one-year relapse probability no relapse relapse Probability of relapsing within the first year using relapse information from data: Low activation and high proliferation of leukemic cells is connected to earlier relapse. Using the leukemic activation to proliferation ratio a probability of relapsing within one year can be estimated. Low pl High pl 0 500 1000 1500 2000 relapse time [days] Low tl o High tl o 0 500 1000 1500 2000 relapse time [days] p-value < 0.001 p-value < 0.001 U-test Fitting leukemic activation (tlo) and proliferation (pl) to the data: best fit to complete data best fit to first 9 months corresp. 95% confidence


(RFG) (LFG) (SF*) Probing Nuclear Effects Using Transverse Kinematic Imbalance (for the Collaboration) stephen.dolan@llr.in2p3.fr Result disfavours an RFG-like cliff Clear requirement for 2p2h contribution in tail Preference for SF model The “bump” is not predicted by simulation (but could just be a statistical fluctuation) Stephen Dolan Measuring the Single Transverse Variables • For simple 𝜈-𝑁scattering, any deviation from 𝛿𝑝𝑇= 0, 𝛿𝜙𝑇= 0 is caused by nuclear effects. • A naivety of these nuclear effects is the cause of dominant systematics in 𝜈 oscillation analyses. Measuring STV provides a direct probe of nuclear effects. Conclusions • Measurements of the STV allows a novel probe of the effects most pertinent for 𝝂-oscillation analyses: • Fermi motion: rejection of the widely used RFG model • 2p2h: contribution clearly required to describe result, definite preference for =0 initial state Single Transverse Variables (STV) [Phys. Rev. C 94, 015503] • T2K measures a fiducial differential 𝐶𝐶0𝜋+ 𝑁𝑝(N≥1) cross section on CH using its near detector 𝑝𝜇> 250 𝑀𝑒𝑉, cos 𝜃𝜇> −0.6, 𝑝𝑝> 450 𝑀𝑒𝑉, 𝑝𝑝< 1 𝐺𝑒𝑉, cos 𝜃𝑝> 0.4 arXiv: 1802.05078, 1804.09488 Preference for slightly stronger FSI NEUT, Super-K 1 ring 𝝁-like selection But we measure Φ × 𝜎 Oscillation analysis requires knowledge of oscillated Φ - Need good idea of 𝜎 Φ →𝜈-flux, 𝜎→𝜈-interaction cross section Diagrams by Patrick Stowell Reconstruction of 𝐸𝜈depends on contribution of interaction modes Even reconstructing 𝐸𝜈 from simple CCQE requires knowledge of nuclear effects CCQE 2p2h • Aims to characterise 2p2h, understand the role of FSI and distinguish different models of Fermi Motion RFG is the model used in NOvA and T2K oscillation analyses. *[Phys. Rev. C 62, 034304] arXiv 1802.05078 Characterising 2p2h with GiBUU [Phys. Rept. 512, 1-124] • GiBUU is a theory framework that has been successful at predicting a wide variety of nuclear reactions. • Describes 2p2h in 𝜈𝑁interactions by likening to known e𝑁scattering. • Link is via simple factors where the only free parameter is the isospin ( ) of the initial state. • The physical ground state of Carbon is =0, but old data (weakly) prefer (2p2h) = 1 = 0 Definite preference for =0 configuration arXiv 1804.09488 • FSI: slight preference for stronger FSI (in NEUT) =1. [Phys. Rev. C 94, 035502] GiBUU 2017 GiBUU 2017 [JPS Conf. Proc. 12, 010032] [JINST 12, P01016] Simulation comparisons made using NUISANCE Inlays are same plots on a log-scale Data ~6 × 1020 protons on target NEUT: Acta Physica Polonica B 40, 2477 NuWro: Phys. Rev. C 86, 015505


@ F A C E I TA rc t ic @ F A C E I TA rc t ic @ fa c e _i t _a rc t ic @ The F A C E -I T Pro j e c t www.face-it-project.eu FACE-IT has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869154. Capture_d_Ã©cran_2023-02-20_Ã _14.29.31-removebg-preview.png Tanks of mixed kelp communities were maintained for 2 months in Ny-Ålesund, Svalbard, via a flow-through automated seawater delivery system that mixed heated and cooled seawater from Kongsfjorden. In each of 12 tanks, about 4 kg of kelp (3 species) and various small animals (e.g., sea urchins) were exposed to 4 different future scenarios. Even higher temperature (+5 °C) + even less light + even less salty water Higher temperature (+3 °C) + less light + less salty water Just higher temperature (+5 °C) Same conditions as Fjord Experimental study suggests tolerance of Arctic kelp to future climate changeCale A. Miller1, Anaïs Lebrun1, Jean-Pierre Gattuso1,2, Pierre Urrutti1, Samir Alliouane1, FrédéricGazeau1, SteeveComeau1 1Sorbonne Université, CNRS, Laboratoire d’Océanographie de Villefranche, 06230 Villefranche-sur-Mer, France 2Institute for Sustainable Development and International Relations, Science Po, Paris, France cale.miller@imev-mer.fr The fjords of Svalbard are undergoing rapid climate change due to incoming Atlantic water mixing with cold Arctic water in combination with a warming atmosphere. Making this process worse is the rapid retreat of sea-ice and glaciers, which historically have helped cool the region by reflecting sunlight. These environmental changes are restructuring the habitats of Arctic fjords such as kelp (macroalgae) communities. To examine the response of habitat forming kelp communities to a future Arctic, experimentally changing the physical and chemical conditions reflects the future Arctic ecosystem. Photosynthesis did not change in response to decreased salinity or increased temperature. Kelp production decreased slightly as a result of continuous low light conditions. Kelp photosynthesis and biomass production appear tolerant under future Arctic conditions but expansion of kelp may be reduced if light is perpetually reduced. Winged kelp Sugar kelp Digitate kelp Experimental set-up in Ny-Ålesund, Kongsfjorden, Svalbard


UNIVERSIDADE FEDERAL FLUMINENSE UNIVERSIDADE FEDERAL FLUMINENSE CURSO DE GRADUAÇÃO EM ENFERMAGEM CURSO DE GRADUAÇÃO EM ENFERMAGEM DEPARTAMENTO DE FUNDAMENTOS DE DEPARTAMENTO DE FUNDAMENTOS DE ENFERMAGEM E ADMINISTRAÇÃO ENFERMAGEM E ADMINISTRAÇÃO DISCIPLINA DE GERÊNCIA DE ENFERMAGEM I DISCIPLINA DE GERÊNCIA DE ENFERMAGEM I PROFESSORES: MARITZA CONSUELO ORTIZ SANCHEZ, MIRIAM MARINHO CHRIZOSTIMO E PEDRO RUIZ BARBOSA NASSAR. ALUNAS: ANA LUIZA FERREIRA PEREIRA, ANA BEATRIZ SANTANA RAMOS DE ALMEIDA, ANDRESSA MARTINS ALVES DE OLIVEIRA, AYRA SOUSA DE AGUIAR TEIXEIRA, CLARA PEREZ DA CRUZ ULHOA TENORIO, ELEONORA SILVEIRA SCATOLINI, ISABELLE PEREIRA DOS SANTOS, JULIANA GARCIA DE MELLO, KAREN CALLEGARIO GALVÃO, LETÍCIA D'LUCCA FELIX MONTEIRO E MARIANA FERRAZ CABRAL. EXEMPLOS EXEMPLOS POP – O Procedimento Operacional Padrão Os profissionais de saúde devem atualizar seu calendário vacinal periodicamente A enfermagem deve zelar pelo cumprimento de suas atividades privativas Na escola de enfermagem aurora de afonso costa os discentes devem preservar a estrutura da faculdade


UKDS Data Product Builder The Path to Open Access for Restricted Data Machine Learning for Key Variable Identification Current machine learning (ML) focus: Machine-assisted Disclosure Risk Analysis An essential prerequisite of this is accurately identifying ‘key variables’ – socio-demographic variables which when combined could be potentially disclosive. Example: Age, Geographic region, Sex, Occupation Harnessing the power of Machine Learning (ML) makes scaling to the entire collection feasible Workflow orchestration software will allow us to have a ‘human-in-the-loop’ step to validate the ML outcome Input features: Variable characteristics: label, question text, group, categories ML Challenges: The number of tags/combinations of tags can be very large The difference between variables can be very subtle and thus hard to solve computationally for a single model Deirdre Lungley, Principal Developer dmlung@essex.ac.uk Thomas Gilders, Data Engineer tg21783@essex.ac.uk Enhanced Combination Frequency Calculations • Example of scale of computation required: • 15 key variables – 1365 4-way combinations to be calculated • Recalculate 4-way combinations for each mitigation offered • The existing tool we use is sdcMicro: • GUI would not allow load of dataset as large as QLFS • With scripting – possible but quite slow • We use C++ bitmask operations in place of the original R code • Makes real-time disclosure analysis feasible Population-level Combination Frequencies to aid Automated Disclosure Risk Analysis (DRA) • The GSS Guidance for Microdata from Social Surveys states in relation to DRA: “those with extensive knowledge of the data should take the lead..” • We’re currently exploring the feasibility of using Census aggregate data to inform automated DRA • Population-level combination frequencies can be checked when sample frequencies are below threshold • Example – female, 60-65 age group, N. East, Veterinarians • Dataset frequency: 1 • Census frequency: 5 • This necessitates harmonizing key variable study representation (categories) with census representation Key DDI-CDI Components for our DPB Why? Data Depositor • Transparent disclosure risk methods Data Curator • Allows increased volume of data Researcher • Reduce time to access data • Reduce workload • Bespoke


NANO PATTERNS FOR INDUSTRIAL APPLICATIONS This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°768636. APPLICATIONS FOR MEDICAL COMPONENTS Boosting the healing process of dental implants with the help of laser induced periodic surface structures (LIPPS) Bone cells develop better on a nano structured surface.


Measuring Protoplanetary Disk Alignment in Young Binary Systems Eric Jensen1, Rachel Akeson2, and Aaron Hersch1, 1Swarthmore College, 2Caltech/IPAC, NExSci Acknowledgments We thank Geoﬀ Blake for permission to use the DoAr 24E data in advance of publication. This work makes use of the following ALMA data: ADS/JAO.ALMA#2015.1.00637.S and ADS/JAO.ALMA#2015.1.00168.S. ALMA is a partnership of ESO (representing its member states), NSF (USA) and NINS (Japan), together with NRC (Canada), MOST and ASIAA (Taiwan), and KASI (Republic of Korea), in cooperation with the Republic of Chile. The Joint ALMA Observatory is operated by ESO, AUI/NRAO and NAOJ. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associat- ed Universities, Inc. Figure 4: First-moment maps of the primary (GK) and secondary (GI) disks in the binary system GK/GI Tau. Although this system has the largest projected binary separation in our sample at 13.2’’ (1700 AU), its disks show similar position angles. Figure 5: Work in progress: we are exploring the ﬁtting of the ﬁrst-moment maps, along with constraints on the stellar mass, to determine disk inclinations in order to ﬁnd the full three-dimensional orientation diﬀerence in these systems. Above, left to right: data, model, and residuals for a ﬁt to GK Tau using eddy (Teague 2019). Observations and Methods We used ALMA to observe continuum and CO(3-2) emission from 14 young binary systems in Taurus-Auriga, Ophiuchus, and Lupus. The kinematics of the CO emission allows us to deduce the spatial orientation of the disks, even for disks that are near our resolution limit. Six systems had strong enough emission for both components to be detected in CO. We used CASA to image the sources and create velocity maps. We also included in our analysis the previously measured position angles of the disks in V2434 Ori (Williams et al. 2014) and HK Tau (Jensen & Akeson 2014) . Most of the disks are unresolved in the continuum, but the channel-to-channel movement of the CO emission allows us to determine the disk position angle. We measured the CO emission centroid in each channel and ﬁt a straight line to the points to ﬁnd the disk PA. References Bohm, K. H. & Solf, J. A sub-arcsecond-scale spectroscopic study of the complex mass outﬂows in the vicinity of T Tauri. Astrophys. J. 430, 277-290 (1994). Foucart, F., & Lai, D., Evolution of linear warps in accretion discs and applications to protoplanetary discs in binaries. MNRAS 445, 1731-1744 (2014). Jensen, E. L. N. & Akeson, R. Misaligned Protoplanetary Disks in a Young Binary System. Nature, 511, 576 (2014). Jensen, E. L. N., Mathieu, R. D., Donar, A. X. & Dullighan, A. Testing Protoplanetary Disk Alignment in Young Binaries. Astrophys. J. 600, 789-803 (2004). Kurtovic, N. T. et al. DSHARP IV. Characterizing Substructures and Interactions in Disks around Multiple Star Systems Astrophys. J. Lett. 869, L44 (2018). Lubow, S. & Ogilvie, G. On the Tilting of Protostellar Disks by Resonant Tidal Eﬀects, Astrophys. J 538, 326-340 (2000). Monin, J. L., Menard, F. & Duchêne, G. Using polarimetry to check rotation alignment in PMS binary stars. Principles of the method and ﬁrst results. Astron. Astrophys. 339, 113-122 (1998). Ratzka, T. et al. Spatially resolved mid-infrared observations of the triple system T Tauri. Astron. Astrophys. 502, 623-646 (2009). Roccatagliata, V. et al. Multi-wavelength observations of the young binary system Haro 6-10: The case of misaligned discs. Astron. Astrophys. 534, A33 (2011). Salyk, C. et al. ALMA Observations of the T Tauri Binary AS 205: Evidence for Molecular Winds and/or Binary Interactions. Astrophys. J. 792:68 (2014). Skemer, A. J. et al. Evidence for Misaligned Disks in the T Tauri Triple System: 10 μm Superresolution with MMTAO and Markov Chains. Astrophys. J. 676, 1082-1087 (2008). Stapelfeldt, K. R. et al. An Edge-on Circumstellar Disk in the Young Binary System HK Tau


4/29/13 Frontiers | Manage Abstracts | My Submissions | All Abstracts www.frontiersin.org/Journal/MySubmissionViewDetails.aspx?stage=100&articleid=54810&submissionid=54913 1/2 Towards Automated Analysis of Connectomes: The Configurable Pipeline for the Analysis of Connectomes (C-PAC) Cameron Craddock1, 2*, Sharad Sikka2, 3, Brian Cheung1, Ranjeet Khanuja1, Satrajit S. Ghosh4, Chaogan Yan2, Qingyang Li1, Daniel Lurie1, Joshua Vogelstein1, 5, Randal Burns6, Stanley Colcombe2, Maarten Mennes7, Clare Kelly3, Adriana Di Martino3, Francisco X. Castellanos3 and Michael Milham1, 2* 1 Center for the Developing Brain, Child Mind Institute, USA 2 Nathan Kline Institute for Psychiatric Research, USA 3 Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, New York University Child Study Center, USA 4 McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA 5 Departments of Statistical Sciences, Duke University, USA 6 Department of Computer Science, John Hopkins University, USA 7 Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Netherlands Introduction To successfully examine the brain’s functional architecture (connectome) and its behavioral associations, researchers need tools that facilitate reliable, replicable connectivity analyses. Here we introduce C-PAC, a configurable, open-source, automated processing pipeline for functional MRI data that builds upon a robust set of existing software packages. Users can rapidly orchestrate automated large-scale pre-processing and data analyses, and can easily explore the impact of processing decisions on their findings by specifying multiple analysis pipelines to be run simultaneously. C-PAC can reliably process hundreds or thousands of subjects through a variety of preprocessing strategies in a single run. Thus C-PAC has been optimized for use on large data sets such as those made public by the International Neuroimaging Data-sharing Initiative (INDI, http://fcon_1000.projects.nitrc.org/). Methods C-PAC has been implemented in Python using the Nipype pipelining library. Nipype provides C-PAC with mechanisms to automatically detect and exploit parallelism present in a pipeline, iterate over several parameter settings, and to restart a pipeline without having to recompute previously completed processing steps. C-PAC extends Nipype functionality by providing workflows specific to connectivity analyses, functional connectivity derivatives and analyses not present in other neuroimaging packages, and a simplified interface for specifying and running pipelines. The CPAC workflows are built from AFNI and FSL tools, as well as algorithms coded in Python using Scipy, Numpy and scikit-learn. The C-PAC processing and analysis pipeline (fig. 1) is configured through a simple configuration file, which permits the inclusion and exclusion of different steps, and setting of a variety of parameters. A variety of input data organization schemes and subject specific acquisition parameters (slice acquisition, slice timing information, time point censoring) are easily configured through a subject configuration file. Available preprocessing options include: motion correction, anatomical/functional coregistration, spatial normalization, spatial and temporal filtering, tissue segmentation, slice-timing correction, several variations of nuisance signal removal and volume censoring (motion “scrubbing”). C-PAC also includes a number of advanced analysis methods that facilitate detailed exploration of connectivity patterns, network structure, and brain-behavior relationships. Individual-level measures include: Seed- based Correlation Analysis, Amplitude of Low Frequency Fluctuations (ALFF) and Fractional ALFF, Regional Homogeneity, Voxel-Mirrored Homotopic Connectivity, and Network Centrality (Degree and Eigenvector). At the group level, C-PAC features Connectome-Wide Association Studies, Bootstrap Analysis of Stable Clusters, and


Process to obtain the differential Library of semi-empirical stellar spectra with varying abundance element ratio Iveth A. Gaspar-Gorostieta1,2, Alexandre Vazdekis1,2, Carlos Allende Prieto1,2, Ariane Lançon3, Adam T. Knowles1,2 1 Instituto de Astrofísica de Canarias, 2 Universidad de la Laguna, 3 Observatoire Astronomique de Strasbourg . Contact: igaspar@iac.es SEA 2022. Tenerife, Islas Canarias, España Why do we want a semi-empirical stellar library? The data Stellar libraries we are working on: X-shooter Spectral Library (XSL): Gonneau et al. (2020), Lançon et al. (2021) MILES: Sánchez-Blázquez et al. (2006) To build up the semi-empirical library, these choices are made: Stellar mixture: Caffau (C, N and O) and Lodders (all other elements) Stellar atmosphere models: MARCS (Gustafsson 2008) Kurucz (Meszaros et al. 2012) The adopted element partition shows a significant similarity with BaSTI stellar evolution models and isochrones. Conclusions New and old molecular line lists were tested and contrasted with new and old versions of synple (spectral synthesis codes, a python wrapper to the fortran code Synspec), so the best fit of each spectrum can be made. The new line lists and the new version of the code have been used to make the spectra. The parameters to compute the synthetic spectrum are are adopted from Arentsen et al. (2019) for the XSL and Garcia-Perez et al. (2021) for MILES. A number of small but key model grids with varying stellar parameteres. Some grids with different values in the parameters (effective temperature, gravity, metallicity and the different chemical abundance ratios) were made to test the interpolated spectra made by using the code FERRE, a fitting code (Allende Prieto et al. 2006). We succesfully tested our models with 8 solar-like stellar spectra from the XSL and the grid with the parameters of this subsample is changing as follows: effective temperature (5250<Teff<6000), gravity (3.5<logg<4.5), metallicity (-2<[M/H]<2), α abundance (-0.25<[α/H]<0.25). Examples: semi-empirical spectra in the visual and NIR Differential spectral responses from varying the abundance ratios in the theoretical stars will be used to correct the empirical spectra and obtain a set of semi-empirical XSL and MILES stellar libraries with varying abundances. These new libraries will be very useful to feed stellar population synthesis models predicting galaxy spectra (Vazdekis et al. 2015, 2016, Verro et al. 2022). References Allende Prieto et al., 2018, A&A, 618, A25 Knowles et al., 2021, MNRAS, 504, 2286 Gonneau et al., 2020, A&A, 634, A133 Lançon et al., 2021, A&A, 649, A97 Sánchez-Blázquez et al., 2006, MNRAS, 371, 703 Lodders et al. 2003, AJ, 591,1220 Caffau et al. 2008, Nature, 477, 67 Gustafsson et al. 2008, A&A, 951-970 Meszaros et al. 2012, AJ, 144, 120 Vazdekis et al., 2015, MNRAS, 449, 1177 Vazdekis et al., 2016, MNRAS, 463, 3409 Verro et al. 2022, A&A, 661, A50 Arentsen et al., 2019, A&A, 627, A138 García-Pérez et al., 2021, MNRAS, 505, 4496-4514 Allende Prieto et al., 2006, ApJ, 636, 804A External galaxies show differing abundance element ratios with respect to the solar neighbourhood. Such patterns are intimately linked to the Star Formation History experienced by a galaxy, as dying stars release their freshly- forged elements in characteristic time scales that depend on their masses. These scales reflect on galaxy spectra. Such responses will be applied to the real stars to create semi- empirical spectral libraries, which will feed our population synthesis models to compute stellar population spectra with the corresponding abundance ratios. Process to obtain the differential correction We aim to build up a set of semi-empirical stellar libraries from the Near-UV to the Near-IR, with varying abundance ratios of α-elements, among others. This requires computing extensive libraries of theoretical stars that will be used to derive differential spectral responses to the varying abundances (Allende Prieto et al. 2018


HYBRAIN Shaping the future of Artificial Intelligence Key Exploitable Results Main technology domains Cross- domain impact Edge Computing Photonics Artificial Intelligence HYBRAIN aims to develop a hybrid electronic- photonic super-fast and energy-efficient computing system inspired by the human brain to enable innovative Edge Computing and Artificial Intelligence solutions. Techniques on how to define the interfaces to AIMC cores to facilitate ultra-low latency inference Brains-Py platform Improved disease detection and more accurate and personalised medicine. Health Cybersecurity Improved novel cybersecurity threats prevention, increased cyber threat detection rates. Improved soil and crop monitoring and automated plant disease detection. Reduced carbon emissions through value chain insights and optimisation, optimised energy grid and household energy management. Efficient car assembly robots, more accurate supply chain forecasts and accidents prevention. Automotive Financial Agriculture Climate change Customised financial advice, improved credit scoring through cash flow predictions.


• IRAF/PHOT AstroImageJ Short and Long-term Observations of X-ray Binaries with Neutron Star Components Tuğçe İçli 1, Dolunay Koçak 1 and Kadri Yakut 1 1University of Ege, Faculty of Science, Department of Astronomy and Space Science, 35100, İzmir-Turkey Robotic Telescope -T60 • Feb. 2015- Jan.2021 • V, R, and I filters • 5-20-60-120s exp. • 3 months obs. period • (V-R); (R-I) T100 • December 8-9 2015 • Feb 7, April 3-4 2016 • March 6-20 2018, • April 4 2018 • R filter • 4 months obs. Period TUG(2015-2021) Long-term Acknowledgements.This study is supported by the Turkish Scientific and Research Council (TUBITAK - 117F188-119F077). We thank TUBITAK for partial support in using the T60 telescope with project numbers 15AT60-776 and 18AT160-1298. TI thanks TUBITAK-BIDEB for its 2211-C and 2214-A fellowship, Max-Planck Institute for Astrophysics for their support during her scientific visiting, and S. De Mink. New Observations & Results 14th – 18th Nov.2022, Munich “The Impact of Binaries on Stellar Evolution” IRAF/PHOT AstrolmageJ New long and short-term photometric variation results of the selected high-mass (HMXB) and low-mass (LMXB) X-ray binaries with neutron star component (PSR J1023 +0038, BQ Cam, XTE J1946+274) have been presented in this study. We obtained new observations of the systems during 2015-2021 with V, R, and I filter at TÜBİTAK National Observatory (TUG) with 60cm and 100cm telescopes. All optical datasets of the systems have analyzed, combine with some X-ray light variations. The studies' results got new periods for selected binary systems and multiple periods for some systems (Icli et al. 2020). References Collins, K. A., Kielkopf, J. F., Stassun, K. G., et al. 2017, Astron. J., 153, 77 Icli, T., Kocak, D., Yakut, K., 2020, CosKa, 50, 2, 499p Bogdanov, S., et al. 2015, ApJ, 806, 148, 23p Reig, P., Fabregat, J., 2015, A&A, 574, A33, 14p Müller, S., et al. 2012, A&A, 546, 125p


Estimation of the Moisture Content in Solanaceae Seedlings using Hyperspectral Image Sae-rom Jun*1, Chan-seok Ryu1, Seong-heon Kim1, Jeong-gyun Kang1, Ye-seong Kang1, Won-jun Kim1, Tapash Kumar Sarkar1, Si-hyeong Jang1, Dong-hyeon Kang2, Yang-gyu Ku3, Dong-eok Kim4 1Department of Bio-Systems Engineering, College of Agriculture and Life Science, Gyeongsang National University (Institute of Agriculture and Life Science), Jinju 52828, Republic of Korea 2Department of Agricultural Engineering, National Academy of Agricultural Science, RDA, Jeonju 54875, Republic of Korea 3Department of Horticulture Industry, College of Life Science and Resource, Wonkwang University, Iksan 54538, Republic of Korea 4Department of General Education, Korea National College of Agriculture and Fisheries, Jeonju, 54874, Republic of Korea Introduction This research was performed to develop the moisture prediction model for salanaceae seedlings such as chili pepper and tomato based on hyperspectral imagery. Materials and Methods The reflectance of chili pepper(n=45) and tomato (n=45) seedlings were calculated using the hyperspectral imagery, and the moisture content of all seedlings was measured. Then the predicting models for estimating moisture content were developed using PLS-Regression analysis with two factors Equipment Sample Schedule Image Processing Materials and Methods Statistical Analysis Results and Discussion The chilli model showed 0.68 of R2, 1.43% of RMSE and 1.61% of RE, which indicate accuracy and precision respectively. The tomato model showed 0.74 of R2, 2.77% of RMSE and 3.09% of RE. Combining all samples (n=90), the solanaceae model showed 0.67 of R2, 2.53% of RMSE and 1.61% of RE. Finally the full-cross validation showed 0.59 of R2, 2.83% RMSE and 3.17% of RE. Moisture Content Reflectance Ratio PLS Regression Model For the normalization, hyperspectral images of chili pepper and tomato seedlings were calibrated by the values of reference board in same image and camera noises were removed by dark current image. For the segmentation, The images were divided into the crop and background area by GNDVI (Green normalized difference vegetation index) - NDVI (normalized difference vegetation index). For the extraction, The images were calculated by image processing program (ENVI 4.7, Exelis Visual Information, USA). Variety Chilly Pepper (n=45) Tomato (n=45) Solanaceae (n=90) Moisture Content[%] (Mean±S.D.) 91.6 ± 2.83 89.6 ± 5.48 89.2 ± 4.27 LV 5 5 5 Cal. R² 0.68 0.74 0.67 RMSE [%] 1.43 2.77 2.53 RE [%] 1.61 3.09 2.84 Val. R² 0.45 0.60 0.59 RMSE [%] 1.88 3.44 2.83 RE [%] 2.12 3.84 3.17 Tomato (n=45) Chilly Pepper(n=45) Moisture Content [%] (Mean±S.D.) 89.9±5.60 88.8±2.56 Acknowledgement This work was carried out with the support of "Cooperative Research Program for Agriculture Science & Technology Development (Project tile: Development of Heating and Cooling Energy Reduction Technology using Seedling Quality Monitoring for Nursery, Project No. PJ0116932017)" Rural Development Administration, Republic of Korea.Image ProcessingStatistical Analysis Hyperspectral Camera Estimation of Moisture Content 75 80 85 90 95 100 75 80 85 90 95 100 Measured moisture content [%] Predicted moisture content [%] Calibration Validation Fig. 1. Estimating Mechanism - Hyperspectral Camera Device name : VNIR spectral camera PS Manufacturer : Specim Spectral imaging Ltd, Finland Photographed Wavelength Range : 400 ~ 1000nm (resolving power : 2nm) - Dry Oven Device name : VS-4048D Manufacturer : Vision Scientific Co. Ltd., Korea Temperature range : Ambient +5 ℃ ~ 220 ℃ Capacity : 48L - Software Spectral DAQ ENVI 5.2 R project 3.3.3 Fig. 2. Hyperspectral Camera Fig. 3. Dry Oven Fig. 4. Software - Chili Pepper Vienna (53 growth days) - Tomato Noggwang (37 growth days) Fig. 5. Hyperspectral Image of Chili Pepper Fig. 6. Hyperspectral Image of Tomato Fig. 7. Schedule of Scanning and Sampling Reflectance Ratio PLS Regression Analysis Moisture Content R Full-Cross Validat


Integer facilisis arcu Cras imperdiet sapien nec sem Seasonal Variation of Solar Neutrino Flux at Super-Kamiokande Susana Molina Sedgwick REFERENCES http://www-sk.icrr.u-tokyo.ac.jp http://t2k-experiment.org http://www.hyper-k.org Super-KamiokaNDE Tank made of stainless steel ~ 50,000 tons of ultra-pure water ~ 13,000 Photo-Multiplier Tubes ✦Neutrino observatory and water Cherenkov detector situated in the Kamioka area of Hida, Japan. ✦International collaboration of ~ 150 people from 40 institutions in 10 countries. Speciﬁcations The ﬂux of solar neutrinos detectable on Earth would be expected to fall proportionally to 1/r 2, due to spherical symmetry. Seasonal Variation 𝝋 Since the distance r from the Earth to the Sun changes as a yearly cycle due to the orbital trajectory, it follows that there will be a seasonal variation in the ﬂux. Previous Method Variation consistent ✴ SK-I: 1996 - 2001 ✴ SK-III: 2006 - 2008 ✴ SK-II: 2002 - 2005 ✴ SK-IV: 2008 - 2018 Variation out of phase Month 1 2 3 4 5 6 7 8 9 10 11 12 DATA/MC(unoscillated) 0.35 0.4 0.45 0.5 0.55 0.6 SK-1 ALL SK-I Month 1 2 3 4 5 6 7 8 9 10 11 12 DATA/MC(unoscillated) 0.35 0.4 0.45 0.5 0.55 0.6 SK-2 ALL SK-II Month 1 2 3 4 5 6 7 8 9 10 11 12 DATA/MC(unoscillated) 0.35 0.4 0.45 0.5 0.55 0.6 SK-3 ALL SK-III Month 1 2 3 4 5 6 7 8 9 10 11 12 DATA/MC(unoscillated) 0.35 0.4 0.45 0.5 0.55 0.6 SK-4 ALL SK-IV & & 𝜈PHYS 2019 - POSTER SESSION Conclusions ✦The two methods now verify each other and function as a cross-check. ✦Possible applications to future direct dark matter experiments. ✦SK-III reanalysis in progress. Oct 2008 May 2018 New Method phi rebinned 0 10 20 30 40 50 60 70 Data/SSM 0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5 0.52 phi rebinned 0 1 2 3 4 5 6 7 8 Data/SSM 0.35 0.4 0.45 0.5 0.55 0.6 E range = 4.5 - 20 MeV Zenith angle = all Uses astronomical distribution rather than analysing by date (72 azimuthal bins). 𝝌2 value = 64.03 / 72 Fitting Amplitude, Phase + Amplitude


Ecuadorian Glass Frogs (Centrolenidae) Current state of knowled8e, new research trends and conservation 0 Smithsonian National Museum of Nmural History Di11isio11 of Amphibians and Hcptiles Diego F. Cisnero s-Heredia & Roy W. McDiarmid (DFCH) Laboratory of Amphibians (!;f Reptiles, Museoo de Ciencias de la u&FQUniversidad San Francisco de C)uilo. Ave. Inleroceanica, (RWM) u&c& Paluxenl Wddlife Research Center, Smithsonian Institution, PO I'>ox 37012, National Museum of Natural lli!,lory, (DFCH) E-mail: dieyiranci!>co ci!.neroo@yahoo.com herpelolqcia@mail.usfg.edu.ec Ecuador ha s the bigge st number of amphibian specie s per unit of area in the w orld (425 specie s in 276 ,840 km2), which is almo st three time s the den sit y of specie s from Colombia and 21 time s that from Bra sil (Coloma & Quiguan go 2000-2002). In the la st decade several source s of data sugge st that a significant proportion of thi s biodi ver sit y is endan gered. Con servati ve estimate s indicate that at lea st 26 specie s of Ecuadorian amphibian s ha ve declined or gone extinct (Ron et al. 2000, Coloma per s. comm. 2003). The rea son s NEW RE&>EJ\RCH TREND&> for thi s cri sis are not clear but ha ve been related to habitat de struction, climate chan ge, and / or di sea se such a s Chytridiom yco sis (Young et al 2001). Centrolene prosoblepon (Boettger 1892) Centrolene geckoideum Jimenez de la Espada 1872 Gla ss Fro gs belon g to the Neotropical famil y Centrolenidae , which currentl y compri ses three genera: Centrolene, Cochranella, and Hyalinobatrachium (Ruiz-Carranza & Lynch 1991). Mo st of them are small frog s (20-30 mm) (L ynch & Duellman 1973) and differ from other Anura by the fu sion of the a stra galu s and calcaneum, T -shaped terminal phalange s, and a proc ess on th e third metacarpal. The fir st E cuadorian centrolenid fro g de scribed w a s Centrolene geckoideum Gimenez de la E spada 1872). In 1973, Lynch & Duellman revie w ed the nineteen E cuadorian specie s then known from the country. Currentl y, there are 31 specie s of gla ss frog s reported from E cuador, nine (9) of that are endemic. Two characters of the Family Centrolenidae: a = process on the third metacarpal; b = T-shaped terminal phalanges. Some of the new species from the western lowlands of Ecuador: (a) New Hyalinobatrachium previously confused with H. fleischmanni, (b) new Centrolene known just form the type locality that was destroyed by the agricultural expansion and transformation of the forest remnants into oil palm and banana plantations, the species is critically endangered, ( c) new Hyalinobatrachium previously confused with H. valerioi, ( d) new species of Centrolene very similar to another new species but differed by the yellow iris. Ch aracte r s th at h ave b ee n u se d to sep ara te glass frogs sp ecies dorsa l coloration patterns color of visceral membranes, bones and iris skin texture sno ut profiles webbing between fingers and toes nostri ls and loreal region tympanum post-cep halic constrictio n humeral and prepollica l spine anal ornamentation nuptia l excrescences number, color and form of eggs calls However, some are useless because are subjected to preservation artifacts, intraspecific variation or sexual dimorphism. The most useful characters are: ( a )Dorsal Coloration Patterns with caution ( some key patterns fade on alcohol, and sometimes ,vhat seems to be an ocelli is just an random aggregation of dots (false ocelli). (b )Humeral and prepollical spines, the best way to see its form is to dissect or get ax-ray radiograph. (c)Nuptial excrescence, it is useful to differ between individual disperse glands, glandular aggregations, and granular pads. ( d)Profiles of the snout, on well-preserved specimens. (e)Anal ornamentation (f)Color of visceral membranes, bones and iris, best taken just after the specimen presenration (g)Calls, (h) Behavior. BE HAVIOR FALSE OCELLI HUM ERAL SPINE BULLA, a much more widespread feature The bulla was described by Myers


“97.4% of the world's top one million websites don't offer full accessibility” - Cudd Scope & Maturity Nature of Violation & Disability Nations, including Qatar incorporated web accessibility laws Many governments worldwide passed or revised legislation protecting disabled people Mada is an Assistive Technology Center Qatar 2010 Aims at promoting digital inclusion and building a technology-based community that meets the needs of PWD Improving ICT accessibility for PWD in Qatar and worldwide Qatar National E-Accessibility Policy - ensures equitable access to technology for PWD What is the current state of accessibility regulations? Are these regulations widely adopted globally in response to the CRPD, particularly for the digital context? How effective are such regulations, in terms of adoption, impact and enforcement, in ensuring equity for people with disabilities? Significance: Influence of CRPD The UN Convention on the Rights of People with Disabilities (CRPD) enforces web accessibility laws. The research aims to understand the scope and maturity of accessibility regulations worldwide and their enforcement. Relevance to Qatar Questions: CRPD Effectiveness Awareness & Adoption State of Regulations Effectiveness of Regulations Created six regions (European Union, Americas, Australia, Asia-Pacific, Africa) Complied accessibility regulations for each region From a sample of 120 accessibility lawsuits, found ~40 organizations that were Fortune 500 Studied Fortune 500 Companies Annual reports and accessibility statements shows inconsistent interest around the topic of accessibility Twitter advanced search tool Conducted a web audit using WCAG criteria (Level A and Level AA) Scope Maturity Nature of Disability Nature of Violation Results Web Accessibility Regulations How are they effective for people with disabilities? Methodology 2003 European Year of Person with Disabilities 1990 ADA accessibility regulations missed digital context 1980s Australia activism for disability rights continues Asia-Pacific development of regulations are still in progress Africa, accessibility regulations established but not effective ADA had the most violated violation for most lawsuits Inaccessible websites have affected visually impaired users Hearing impaired users faced troubles with some educational and healthcare websites Annual report analysis shows inconsistent interest around the topic of accessibility Accessibility statements had accessibility relevant words, which are not compliant with the WCAG standards Work still needed towards effective accessibility regulations and compliance by organizations Accessibility regulations are known, but organizations aren't following them to improve user experience Conclusion Sara Al-Emadi | Advisor: Divakaran Liginlal Information Systems Program


5GMED Connected and Automated Mobility and Future Railway Mobile Communication Use Cases in the Mediterranean Cross-Border Corridor Jad Nasreddine∗, Ricard Vilalta‡, Giovanni Rigazzi§, Philippe Veyssiere†, Ra¨ul Gonz´alez§ and Francisco V´azquez-Gallego∗ ∗i2CAT Foundation, Barcelona, Spain †IRT Saint Exup´ery, Toulouse, France ‡ Centre Tecnol`ogic de Telecomunicacions de Catalunya (CTTC/CERCA), Castelldefels, Spain § Cellnex Telecom, Barcelona, Spain Abstract—The 5GMED project will demonstrate advanced Cooperative, Connected and Automated Mobility (CCAM) and Future Railway Mobile Communications System (FRMCS) use cases along the cross-border corridor between Figueres (Spain) and Perpignan (France), enabled by a multi-stakeholder compute and network infrastructure based on 5G and offering support for AI functions, and deployed by MNOs, neutral hosts, and road and rail operators. Several large-scale trials will be conducted to evaluate the capabilities of 5G to meet the requirements of the use cases in the cross-border mobility scenario. In this paper, we present the 5GMED project, its use cases and the proposed 5G network architecture. Keywords—5G, use cases, CCAM, FRMCS, cross-border, trials. I. INTRODUCTION A number of critical Cooperative, Connected and Auto- mated Mobility (CCAM) use cases imply stringent real-time connectivity requirements, leading to a scenario where best- effort connectivity provisioning does not comply. The majority of current 5G deployments are not designed to meet those requirements, which include the support for ultra-reliable low- latency communication (URLLC)-type services as well as availability in sparsely populated areas for delivering high data-rates. To achieve such objectives, dense cell deployments, including necessary optical fiber roll-out as well as Multi- access Edge Computing (MEC) will be important [1]. In cross-border corridors, Mobile Network Operators (MNO), neutral hosts, and road/rail operators usually own separate network and compute infrastructures, each with their own service orchestration capabilities tailored to the business of each specific stakeholder [2]. As 5G is also expected to be instrumental for railway communications, there is the main objective to adopt novel network architectures that consider all the rail communication services over a single network, instead of the expensive mixture of access networks used today, which leads to the design principles of the Future Railway Mobile Communication System (FRMCS) [3]. Motivated by this context, the 5GMED project aims at the deployment of a multi-stakeholder network and compute infrastructure based on 5G to demonstrate advanced CCAM and FRMCS use cases along the Mediterranian cross-border corridor between Figueres (Spain) and Perpignan (France). In 5GMED, several novel technologies are under investigation to meet the requirements of the use cases. These technologies include enhancements to accelerate 5G roaming procedures across MNOs and neutral hosts, multi-connectivity solutions supporting vehicles and high-speed trains, novel broadband ac- cess network architectures for railways, cross-operator service orchestration, and the ability to execute AI-enabled functions at the edge of the network. This paper introduces the 5GMED project, the proposed use cases, and the main features of the network architecture to be deployed along the Mediterranian cross-border corridor. II. 5GMED PROJECT OVERVIEW The 5GMED project is an innovation action funded by the European Union’s Horizon 2020 research and innovation programme under the 5G Public Private Partnership (5G- PPP). 5GMED will deploy a 5G Stand-Alone (SA) network infrastructure along 65 km of the European highway E-15 and the high-speed rail track of the Mediterranean cross- border corridor. It will conduct large-scale trials to evaluate the capabilities of 5G to meet the requirements of CCAM and FRMCS use cases under mobility conditions across the border. Before the executio


Automatic Lidar and Ceilometer Framework (ALCF) ALCs Lidar data processing Model evaluation using ALCs Available at alcf-lidar.github.io Noise removal Cloud detection Mie scattering Absolute calibration Peter Kuma¹, Adrian McDonald¹, Olaf Morgenstern² Acknowledgments Luﬀt CHM 15k Sigma Space MiniMPL Vaisala CL51 and CL31 ¹) University of Canterbury, Christchurch, New Zealand, ²) NIWA, Wellington, New Zealand ALCs are ground-based lidars operating by sending pulses of laser radiation in the near-infrared or visible spectrum and measuring received radiation. ALCs can measure cloud base, cloud layers, cloud phase, backscatter, boundary layer height and aerosol concentration. Closed ﬁrmware processing of raw signal hinders comparison between instruments, GCMs and NWP models. What? ALCF is an open source lidar processing tool and a lidar simulator written in Python and Fortran. Why? A large number of automatic lidar and ceilometers (ALC) are deployed worldwide, but there is a lack of open tools for processing lidar data and comparison with general circulation models (GCM) and numerical weather prediction (NWP) models. How? ALCF processes data from lidars and runs a lidar simulator on model atmospheric ﬁelds to enable 1:1 comparison between observations and the model. The ALCF lidar simulator is based on a lidar simulator of the COSP project provided under a BSD license. Luﬀt CHM 15k is a near-infrared (1064 nm) ceilometer with a range of 15 km. Vaisala CL51 (CL31) is a near-infrared (910 nm) ceilometer with a range of 15 km (7.6 km). MiniMPL is a visible spectrum (532 nm) dual-polarisation lidar with a range of 30 km. Model cloud ﬁelds can be compared to cloud measured by ALCs. Due to strong laser signal attenuation in thick clouds, a lidar simulator has to be used to achieve 1:1 comparison with model ﬁelds. The COSP simulator suite has been used for the past decade with the space lidar CALIPSO, with no equivalent available for ground-based lidars. ALCF extends and integrates the lidar simulator in COSP with additional processing to allow for easy 1:1 comparison with oﬀ-the-shelf ALCs. The simulator transforms model cloud liquid (clw) and ice (cli) ﬁelds to backscatter proﬁles. The simulator works "oﬄine" on model output in NetCDF in standard format such as the CMIP5 format. The same post-processing steps are applied on measured and simulated backscatter. Lidar backscatter is aﬀected by noise which scales with the square of range. Noise can obscure thin cloud above approx. 4 km in some instruments. ALCF removes noise by estimating noise distribution mean and standard deviation. Cloud detection in ALCF is performed by applying a n-sigma (3-sigma by default) threshold on the backscatter. This way false detection is avoided and comparison with models can be unbiased. Models do not repreduce vertical gradients of backscatter well due to low resolution. Absolute threshold based comparison is most likely to work comparably across models and observations. Absolute calibration can be performed using the vertically integrated backscatter method in thick stratocumulus clouds, which is equal to a known value of lidar ratio. ALCF can plot this value along backscatter proﬁles, which allows instrument absolute calibration factor to be determined. We have used ALCF for Southern Ocean cloud evaluation in the HadGEM3 GCM and MERRA-2 reanalysis (Kuma et al., 2019). We compared the models with ship observations collected over 4 years. ALCF was used to compare vertical cloud occurrence and the total cloud cover between the Luﬀt CHM 15k and Vaisala CL51 observations and models. Thanks to this approach we found that the models underestimate low cloud below 500 m and fog and the total cloud cover is underestimated by up to 18%. The laser radiation interacts with cloud droplets and ice crystals via Mie scattering, which depends on the laser wavelength and particle size distribution. We have modiﬁed the lidar simulator in COSP to account for diﬀerent ALC l


Widespread synuclein pathology in hyposmics precedes dopamine transporter deficit in PARS PARS Introduction Conclusions Support for this study is provided by the Department of Defense award number W81XWH-06-067, The Helen Graham Foundation and by the Michael J Fox Foundation for Parkinson Research PARS Funding α-syn SAA is positive in 47% of PARS hyposmics K Marek, D Russell, L Concha, SH Choi, D Jennings, M Brumm, C Coffey, E Brown, M Stern, J Seibyl, C Soto, A Siderowf for the PARS Investigators The Parkinson Associated Risk Syndrome Study (PARS) is a longitudinal, observational study designed to investigate a sequential biomarker strategy using hyposmia followed by dopamine transporter (DAT) imaging to identify individuals from community populations at high risk of developing PD and related disorders. Data from PARS have shown that individuals with hyposmia are enriched for DAT deficit and in turn those individuals with hyposmia and DAT deficit are at high risk to develop a diagnosis of clinical PD . We now report α-syn SAA data (in collaboration with Amprion). from the PARS study on the frequency of positive results with and without concurrent hyposmia. We further examine the temporal relationship between α-syn SAA status, DAT deficit and onset of clinical PD symptoms. We propose that a biomarker signature for PD can be detected that may enable screening and therapeutic interventions earlier in the pathological process at a point prior to onset of classical motor or cognitive symptoms. Clinical PD PARS Cohort Ascertainment PART 1 - Community ascertainment – remote data collection PART 2 - In clinic longitudinal clinical and biomarker data collection N = 10,139 Returned screening and background questionnaire N = 4330 Normosmic CSF was acquired in 100 PARS participants, 27 normosmic and 73 hyposmic. Participants were followed for up to 10 years. Investigators were unaware of UPSIT or imaging data. In this analysis the PARS study visit at which CSF was obtained has been designated as a reference visit time 0. N = 4999 Completed UPSIT N = 669 Hyposmic Hyposmia <15% by UPSIT N = 100 Normosmic N = 203 Hyposmic N = 27 Normosmic N = 73 Hyposmic CSF acquired during follow-up Comparison of PARS CSF cohort clinical and biomarker characteristics by olfactory and SAA status SAA Status and DAT binding in PARS Hyposmics vs Normosmics % age-expected lowest putamen SBR UPSIT Percentile Longitudinal DAT in SAA Hyposmic Positive and Negative Time relative to CSF collection (years) Circles (o) refer to time of clinical PD diagnosis (if time of DAT imaging and clinical PD diagnosis overlapped). In the two remaining cases, the last imaging visit occurred 4 years prior to clinical diagnosis • Most SAA positive PARS participants have normal DAT at baseline. • Most SAA positive PARS participants have normal DAT for at lease 4 years. • Approx 30% of SAA+ PARS hyposmics compared to 8% of of SAA- PARS hyposmics show reduction of DAT at baseline and/or follow-up. • Only PARS hyposmic SAA+ participants developed symptoms of NSD (8 of 12 DAT deficit). None of the SAA – hyposmics or normosmics developed symptoms. lowest putamen SBR % age-expected lowest putamen SBR Proposed Model for PD Biomarker Signature prior to PD symptoms Clinical PD SAA NEG SAA POS ENRICH These data suggest: •in a community population > 60 years, ~7.5% are asyn SAA+ •hyposmia enriches for synuclein pathology •there is a temporal progression to DAT deficit and clinical PD is some individuals • These PARS data suggest that olfactory function testing may be a simple and easily accessible tool to identify α-syn SAA positive individuals before DAT imaging abnormalities or symptoms of PD occur. • Further the proposed PD biomarker signature provides a new roadmap for therapeutic development to prevent or slow disease onset and will enable further studies to elucidate molecular disease subsets and ultimately more precise therapeutic targets based on disease biology. ABSTRACT 253


Community Cluster Provenance Research Formate Neben den vom Community Cluster initiierten Temporary Working Groups (TWGs) bietet das CC Provenance Research weitere Möglichkeiten zum fachspeziﬁschen Austausch. Quartalsweise ﬁnden Clustertreffen statt, die sich einem Themen- schwerpunkt widmen und Mitgliedern die Chance geben, eigene Projekte vorzustellen. Weiterhin werden regelmäßig Workshop-Formate angeboten, die sich in nächster Zeit z. B. mit der Gemeinsamen Normdatei (GND) und der Modellierung von Unsicherheiten und Vagheiten in Provenienzangaben beschäftigen werden. TWG “Prototypische Modellie- rung eines Provenienzgazetteers zur FAIRen Bereitstellung in einer Wikibase” Ziel dieser TWG ist es, Personen und Körperschaften prototypisch in einer Wikibase-Instanz mit ihnen zugeschriebenen Objekten zu verknüpfen. Zudem sollen Informationen über Personen und Körperschaften, die über keinen externen Identiﬁer verfügen, offen bereitgestellt werden. Die Ergebnisse sollen über ein automatisiertes Skript aus der Wikibase-Instanz abgefragt und in eine SKOS-Darstellung zur Integration des Provenienzgazetteers in DANTE umgewandelt werden. TWG “Tools and Services for Research Collections and Provenance Research” Die TWG identiﬁziert Dienste und Werkzeuge für Forschungssammlungen sowie für die Provenienzforschung. Ziel ist es, einen internationalen Online-Katalog zu erstellen, der domänenspeziﬁsche Bedürfnisse widerspiegelt. Somit wird ein Status Quo der momentanen digitalen Arbeitsmittel in der Provenienzforschung erhoben. Ein besonderer Fokus wird dabei auf die objektspeziﬁsche Verwaltung von (Namens-) Normdaten gelegt, also Daten zu Vorbesitzer*innen und Veräußernden, wobei es sich einerseits um Personen und andererseits um Körperschaften handelt. Speziﬁsch sollen hierbei Charakteristika zu archäologischen und ethnologischen Objekten sowie deren immanente, rechtliche Komponenten Berücksichtigung ﬁnden. Wer sind wir? Ansprechpartnerinnen ●Angela Berthold (Münzkabinett, Staatliche Museen zu Berlin - Stiftung Preußischer Kulturbesitz) a.berthold@smb.spk-berlin.de ●Katharina Martin (Münzkabinett, Staatliche Museen zu Berlin - Stiftung Preußischer Kulturbesitz) k.martin@smb.spk-berlin.de Chairs ●Meike Hopp (Technische Universität Berlin) ●Petra Winter (Zentralarchiv, Stiftung Preußischer Kulturbesitz) Digitale Provenienzforschung Das Cluster richtet sich an Wissenschaftler*innen, die digitale Provenienzforschung in Museen, Archiven, Bibliotheken etc. betreiben. In diesem CC bildet das einzelne Objekt mit seiner Erwerbungsgeschichte den Ausgangspunkt der Provenienzforschung. Das CC beschäftigt sich mit der Etablierung der Verwendung von Normdaten bei der digitalen Publikation von Vorbesitzer*innen und Veräußernden. Diese möglichst international anerkannten Normdaten sollen helfen, Personen und Körperschaften im Zusammenhang mit Erwerbungs- vorgängen sammlungsübergreifend zu identiﬁzieren und Netzwerke zu rekonstruieren. Durch die Verwendung gemeinsamer, standardisierter Normdaten für Personen und Körperschaften und den dadurch entstehenden Informationsgewinn können, ausgehend vom Einzelobjekt, über Datenbanken verschiedener Institutionen hinweg Objektbiographien nachvollzogen und ehemals zu einer Sammlung oder Person gehörige Objekte in ihre Ursprungszusammenhänge gebracht werden. About the Poster NFDI4Objects Community Meeting 2024, Mainz. Stiftung Preußischer Kulturbesitz (SPK) Technische Universität Berlin Zitation Berthold et al. (2024). Community Cluster Provenance Research. Zenodo. DOI: 10.5281/zenodo.13798294. Vernetzung Das CC arbeitet mit den Beteiligten innerhalb von NFDI4Objects, mit weiteren NFDI-Konsortien sowie mit der Community der Provenienzforschenden eng zusammen. Eine solche großﬂächige Vernetzung ermöglicht einen Überblick über den Status Quo der digitalen Provenienzforschung sowie eine passgenaue Bedarfserhebung im Bereich des Forschungs- datenmanagements für die Provenienzforschung. Beteiligte Organe innerhalb von NFDI4


Amanda Truitt & Patrick A. Young Arizona State University, School of Earth and Space Exploration Using TYCHO [13] we have modeled the evolutionary tracks for a total of 1232 stars, each with a different combination of mass, scaled metallicity, and speciLic elemental composition. TYCHO is a 1D stellar evolution code with a hydrodynamic formulation of the stellar evolution equations. It uses OPAL opacities [14, 15, 16], and a combined OPAL and Timmes equation of state [17]. TYCHO outputs data on stellar surface quantities for each time-step of the evolution, which we use to produce a predicted radius for the inner and outer edges of the HZ as a function of the star’s age. To calculate the HZ for an individual star at each point in its evolution, we use equations from [6], combined with TYCHO outputs. Our program CHAD (Calculating HAbitable Distances) then determines the inner and outer HZ boundaries, discussed in [7]. The original grid of 376 models [18] includes “solar-type” stars, with masses ranging from 0.5–1.2 M¤. Models are also calculated for scaled metallicity values of 0.1–1.5 Z¤, and four models for oxygen abundance values (0.44, 0.67, 1.28, and 2.28 O/Fe¤) calculated at Z¤. The end-member oxygen models are also calculated at each scaled Z value. The grid is complete for the MS until hydrogen is exhausted in the core. Since it has been determined observationally that carbon and magnesium make the most difference (after oxygen) to the stellar evolution [19, 20, 21], we have simulated tracks to represent variations in these elements as well. The spread in values we use reLlects the diversity in abundances that have been directly measured in nearby stars [12, 22, 23, 24, 25]. This more recent grid includes a total of 480 models: 240 models each for variations in carbon and magnesium (ranging from 0.58–1.72 C/Fe¤ and 0.54–1.84 Mg/Fe¤) [paper in prep]. 1. Catanzarite, J. & Shao, M. 2011, ApJ, 738, 151 2. Petigura, E.A., Howard, A.W., & Marcy, G.W. 2013, PNAS, 110, 19273 3. Gaidos, E. 2013, ApJ, 770, 90 4. Batalha, N.M., Rowe, J.F., Bryson, S.T., et al. 2013, ApJS, 204, 24 5. Borucki, W.J., Koch, D., Basri, G., et al. 2011, ApJ, 736, 1 6. Kopparapu, R.K., Ramírez, R.M., Kasting, J.F., et al. 2013, ApJ, 765, 131 7. Kopparapu, R.K., Ramírez, R.M., SchottelKotte, J., et al. 2014, ApJL, 787, L29 8. Kasting, J.F., Whitmire, D.P., & Reynolds, R.T. 1993, Icarus, 101, 108 9. Selsis, F., Kasting, J.F., Levrard, B., et al. 2007, A&A, 476, 1373 10. Anbar, A.D., Duan, Y., Lyons, T.W., et al. 2007, Science, 317, 1903 11. Young, P.A., Liebst, K., & Pagano, M. 2012, ApJ, 755, 31 12. Hinkel, N.R., Young, P.A., Timmes, F.X., et al. 2014, ApJ, 148, 54 13. Young, P.A. & Arnett, D. 2005, ApJ, 618, 908 14. Iglesias, C.A. & Rogers, F.J. 1996, ApJ, 464, 943 15. Alexander, D.R. & Ferguson, J.W. 1994, ApJ, 437, 879 16. Rogers, F.J. & Nayfonov, A. 2002, ApJ, 576, 1064 17. Timmes, F.X. & Arnett, D. 1999, ApJS, 125, 277 18. Truitt, A., Young, P.A., Spacek, A., et al. 2015, ApJ, 804, 145 19. Neves, V., Santos, N.C., Sousa, S.G., et al. 2009, A&A, 497, 563 20. Mishenina, T.V., Soubiran, C., Bienaymè, O., et al. 2008, A&A, 489, 923 21. Takeda, Y. 2007, PASJ, 59, 335 22. Bond, J.C., Tinney, C.G., Butler, R.P., et al. 2006, MNRAS, 370, 163 23. Bond, J.C., Lauretta, D.S., Tinney, C.G., et al. 2008, ApJ, 682, 1234 24. Ramírez, I., Allende Prieto, C., & Lambert, D.L. 2007, A&A, 465, 271 25. González Hernández, J.I., Israelian, G., Santos, N.C., et al. 2010, ApJ, 720, 1592 26. Pagano, M.D., Truitt, A., Young, P.A., Shim, D. 2015, ApJ, 803, 90 27. http://bahamut.sese.asu.edu/~payoung/AST_522/ Evolutionary_Tracks_Database.html 28. Blackman, E.G. & Owen, J.E., 2016, MNRAS, 458, 2 We are working to understand how stars of different mass and composition evolve, and how stellar evolution directly inOluences the location of the habitable zone (HZ) around a star. It is now estimated that more than 20% of all Sun-like stars and 50% of M-dwarfs may host a planet in the H


ALMA allows us to study these regions buried within thick gas layers since mm-wave emission is almost unaffected by dust up to column densities up to Also, ALMA allows us to resolve each nucleus, thanks to its unprecedented resolution of 0.03 arcsec. MRK463 NGC6240 ARP220 LEDA17883 ESO509 ESO253 RESULTS SUPERMASSIVE BLACK HOLE PAIRS AT SEPARATIONS <1 KPC AND THEIR ROLE IN BLACK HOLE GROWTH Instituto de Astrofísica, Facultad de Física, Pontificia Universidad Católica de Chile Centro de Astrofísica y Tecnologías Afines National RadioAstronomy Observatory This investigation aims to study the growth in black holes undergoing a merging process, specifically those at separations below 1 Kpc. This is not a straightforward task since it has been found that merging-triggered AGNs are likely to become heavily obscured by gas and dust (Ricci et al., 2017, 2021) Objective Method Millimetric and X-ray emission relation It has been studied that X-rays are a good tracer for black hole growth. A relation between x-rays and mm-emission has recently been found for isolated AGNs (Kawamuro et al. 2022). If this relation holds for dual AGNs it could be used to trace the black hole growth at these separations. Macarena Droguett Callejas , Ezequiel Treister , Loreto Barcos-Muñoz CONCLUSIONS MJDROGUETT@UC.CL SAMPLE AND OBSERVATIONS INTRODUCTION 3 The sample of this study can be divided into two groups. The first one is a selection of known dual AGNs and dual nuclei (Mrk463, NGC6240, ARP220 and UGC4211); this is ALMA archival data with observations from the main array. The second group is a selection from the GOALS survey. This is a survey of the most luminous infrared galaxies in the local universe, which is a great place to look for dual AGNs. The observations of this group correspond to ALMA archival from the ACA configuration. 1,2 1,2 Figure 1: ALMA continuum images of two dual AGN candidates and one dual nuclei. The Magenta line depicts 0.1 arcsec. Each nucleus of confirmed dual AGNs follows the studied relation. Isolated AGNs in the GOALS sample also follow the relation. In-band spectral indexes were computed, indicating emission coming from dust from the sources distant from the relation. This value indicates that if an AGN was present, it would not be dominant. The correlation between mm and X-ray emission established for isolated AGN also holds for dual systems. The relation between mm and x-ray emission can be used to identify heavily obscured AGN in previously unidentified systems. A better understanding of the black hole merging process will be key in predicting the number of gravitational wave events. Ricci, C. et al. MNRAS 468(2):1273–1299, June 2017. doi:10.1093/mnras/stx173 Ricci, C. et al, MNRAS. 506(4):5935–5950, October 2021. doi:10.1093/mnras/stab2052 Kawamuro, T. et al., The Astrophysical Journal, 938(1):87, October 2022. doi: 10.3847/1538-4357/ac8794 Koss, M. et al., The Astrophysical Journal, 942(1):L24, January 2023. doi: 10.3847/2041-8213/aca8f0. 1 2 3 Figure 2: The blue-filled circles are the data that Kawamuro et al. (2023) used to compute the relation (red line) between mm-emission and x-ray emission for isolated AGNs. Black dots are our selection from GOALS. Confirmed dual AGNs and other sources of interest are appropriately labelled. For sources without an exact value of column density, repeated labels filled with colours indicate the change in the position of the source when corrected by column densities of 10 (light purple) or 10 (dark purple). The black arrow indicates a lower limit. 24 REFERENCES FUTURE WORK Perform the same analysis for dual AGN candidates observed with ALMA’s cycle 9. This program aims to determine the incidence of dual AGN in late state-merger systems by observing 12 sources. Project Code: 2022.1.01348.S Using the prescription of Murphy et al. (2012) and IR luminosities reported by Sanders et al. (2003), we estimated that the contribution of star formation to the mm and x-ray emission could account


WALK IN STYLE Received By 240 Institutions UNESCO SOCIAL / HEALTH CARE PRIMERY / SECONDARY SCHOOLS Positive Vote on Its Impact 99% Songwriter / Project Lead | Mosi Dorbayani About: Artists from 25 countries, spanning 5 continents united to record Walk in Style, a message song to raise awareness on bullying. A MESSAGE SONG TO VICTIMS OF BULLYING Project | Recorded in 10 different genres What It Entailed: The project became a subject of discussion and dialogue, received national / international media coverage – providing a thinking tool, and comfort to very many. With over 7.2 million streams/downloads and having broadcast to 700,000,000 listeners, this message song is considered as one of the most impactful artistic projects for humanity in the world. Hollywood Music in Media Awards| Nominated Social Impact Song: The project received two nominations for best Lyrics and best RnB style in category of social impact songs. To find out more about this project, consult my publication titled: Message Song, or refer to my critique (Cultural Diplomacy), which is available from University of Salford’s research repository. ONE OF THE BIGGEST MUSICAL PROJECTS FOR HUMANITY IN THE WORLD AMERICA AFRICA ASIA EUROPE Broadcast to over 700,000,000 Listeners Around the Globe AUSTRALIA To Stream The Latest Version Click on HERE Global Out-reach: Continents with most number of streams/downloads/broadcast America Europe Africa Asia Australia America 40% Europe 36% Africa 8% Asia 11% Australia 5% Source: Publisher/Release Metadata/Nielsen Audio/Play Count Across All Digital And Social Media Platforms Over 1,000,000 Streams on Its First Month of Release from the Project’s Players Such as SoundCloud / Google… Estimated 3,000,000 Streams Across Artists’ Pages / Their Public Players on Its First Months of Release Over 3,200,000 Free Downloads on Its First Six Months of Release from the Project’s Sites/MTV site & Players Such as Google/ WixPlayer /SoundCloud


LMAS Report C I Mendes1, P Vila-Cerqueira1, Y Motro2, J Moran-Gilad2, J A Carriço1, M Ramirez1 1. Instituto de Microbiologia, Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal 2. Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel Email: cimendes@medicina.ulisboa.pt Twitter: @ines_cim ABPHM’21 Abstract The de novo assembly of raw sequence data is a key process when analysing data from shotgun metagenomic sequencing. It also represents one of the greatest bottlenecks when obtaining trustworthy, reproducible results. LMAS is an automated workflow enabling the benchmarking of traditional and metagenomic prokaryotic de novo assembly software using defined mock communities. Several steps were implemented to ensure the transparency and reproducibility of the results. The mock communities can be provided by the user to better reflect the samples of interest. New assemblers can be added with minimal changes to the pipeline, so that LMAS can be expanded as novel algorithms are developed. LMAS accepts as input raw short-read paired-end sequencing data and tripled reference sequences. The resulting assembled sequences are processed and the global and per reference quality assessment is performed. The results are presented in an interactive HTML report where selected global and reference specific performance metrics can be explored. LMAS is implemented in Nextflow using Docker containers to provide flexibility. The use of Docker containers for each assembler allows versions to be tracked, and the use of Nextflow, a workflow management software, allows the effortless deployment of LMAS in any UNIX-based system, from local machines to high-performance computing clusters with a container engine installation. Usage Implementation ZymoBIOMICS Community Standards The eight bacterial genomes and four plasmids of the ZymoBIOMICS Microbial Community Standards were used as reference, and raw sequence data of the mock communities, with an even and logarithmic distribution of species, and a simulated sample of the evenly distributed reads generated from the reference genomes were used as input for LMAS. Our results show that the choice of a de novo assembler depends greatly on the computational resources available and the species of interest, with the performance of each assembler varying greatly with the abundance in the sample. Overall, multiple k-mer De Bruijn graph assemblers outperform the alternatives but no major performance gains were obtained when using dedicated metagenomic assemblers. No single assembler emerged as an undisputed ideal choice. The resulting report is available at https://lmas-demo.herokuapp.com. LMAS is open-source and freely available at https://github.com/cimendes/LMAS. Contig size distribution for log (A), even (B) and mock (C) ZymoBIOMICS samples A B C Misassemblies for log (A), even (B) and mock (C) ZymoBIOMICS samples A B C PLS Metrics for log (A), even (B) and mock (C) ZymoBIOMICS samples A B C


P-67 DISCUSSION / CONCLUSION The median IP of COVID-19 of 5 days is within the range of IP estimated by the World Health Organization. A higher infecting dose as well as higher virulence of the strain could possibly lead to a shorter IP. Based on the longest median incubation period in our study (cluster religious), medical observation or quarantine period should be of a minimum of 8 days to halt the spread of disease. Therefore, our recommendation is to maintain current practice of quarantine of 14 days which will suffice to curb the spread of disease. NMRR-20-793-54770 The Incubation Period of Coronavirus Disease 2019 (COVID-19) in Petaling District, Malaysia Acknowledgements The authors would like to thank the Director General of Health Malaysia in the support of publishing this poster. Our special thanks goes to the staff of the Petaling District Health Office. References 1. Brookmeyer, R. (2015). Incubation Period of Infectious Diseases.Wiley StatsRef: Statistics Reference Online, 1–8 2. Ministry of Health Malaysia. (2020a). Guidelines on COVID-19 Management in Malaysia No. 5/2020. 3. Petaling District Health Office. (2020). Laporan Harian Wabak COVID-19, Daerah Petaling, 22 April 2020. INTRODUCTION A total of 219 cases were included in this study. Four main clusters were identified; corporate (n=44, 20·1%), religious (n=43, 19·6%), imported (n=74, 33·8%) and others (n=58, 26·5%). The median IP of COVID-19 among the cases was 5·0 days (interquartile range 3·0-8·0). The longest median IP was found in religious cluster (8·0 days, IQR 4·0-11·0), while the shortest median was corporate cluster (3·5 days, IQR 3·0-6·8). Significant difference was observed between corporate and religious clusters (p=0·001) (Table 1). 219 Cases Median IP = 5 days N = 74 33.8% Median IP = 6 days Imported N = 44 20.1% Median IP = 3.5 days Corporate N = 43 19.6% Median IP = 8 days Religious N = 58 26.5% Median IP = 5 days Others Male Female 4 Clusters N = 114 52.1% Median IP = 5 days Cluster n Median IQR X2 statistic* (df) p Corporatea 44 3.5 3.0 – 6.8 15.2(3) 0.002 Religiousb 43 8.0 4.0 – 11.0 Importedc 74 6.0 3.8 – 8.0 Othersd 58 5.0 3.8 – 8.0 *Kruskal Wallis test Post Hoc tests: abp =0.001; acp =0.153; adp =0.478; bcp =0.203; bdp =0.100; cdp =1.00 Table 1: The median incubation period of COVID-19 by clusters N = 105 47.9% Median IP = 6 days RESULTS Ridwan Sanaudi1, Ainul Nadziha Mohd Hanafiah2, Lee Soo Cheng3, Lim Kuang Kuay4, Waramlah Ramlan5, Diana Raj5, Shiehafiel Fieqri Hussin5, Roslinda Abu Sapian1, Nurul Syarbani Eliana Musa1, Mohamed Paid Yusof3 MATERIALS & METHODS A cross-sectional study was conducted between 3 February 2020 and 13 April 2020 by using secondary data from the Petaling District Health Office. The IP was classified as the time elapsed between exposure to a confirmed case and the date of onset of symptoms. The Kruskal-Wallis test was performed to compare the differences of IP between the groups. Globally, over 2 million population have been affected by the COVID-19 outbreak and over five thousand in Malaysia, with almost 100 deaths as of 22 April 2020. Knowledge on the incubation period (IP) of COVID-19 is scarce due to the novelty of the virus. The aim of this study was to determine the IP of COVID-19 infection in the district of Petaling, Selangor, Malaysia. 1 National Institutes of Health (NIH), Ministry of Health, Malaysia 2 Institute for Health Systems Research, NIH, Ministry of Health, Malaysia 3 Petaling District Health Office, Selangor, Ministry of Health, Malaysia 4 Institute for Public Health, NIH, Ministry of Health, Malaysia 5 Ministry of Health, Malaysia


Investigating health disparities and AI bias in models to predict development of chronic kidney disease in patients with Type II Diabetes Introduction ●Chronic kidney disease (CKD) is estimated to affect more than 1 in 7 adults in the US and is more prevalent in non- Hispanic Black adults than in other races/ethnicities. ●One of the most common preventable risk factors for CKD is type 2 diabetes (T2DM), also shown to have higher prevalence in racial and ethnic minorities and low-income populations. ●Machine learning (ML) can help to identify patients at risk of developing CKD who may benefit from early interventions. ●However, ML models have been found to demonstrate bias in their predictive performance, which has the potential to exacerbate existing health disparities or create new ones. AIMS: Investigate health disparities in development of CKD in adult patients with T2DM and develop fair models for predicting CKD, with a focus on race groups. Methods ●Criteria: Adult patients in the OCHIN database from 2012-2021 with a diagnosis of T2DM based on ICD9 and ICD10 codes, documented date of T2DM onset and CKD onset where applicable, and no CKD prior to T2DM. ●Multivariable logistic regression to quantify health disparities ●Random Forest (RF) and XGBoost (XGB) for ML predictive modeling. Table 3. XGB model fairness results Conclusion ●In a population of patients with T2DM, Black and Asian patients had a higher likelihood of developing CKD compared to White patients. ●Predictive models did not perform equally across race groups. ●High performing models may not perform equitably for all patient populations, therefore evaluation and reporting should extend beyond overall performance metrics to include fairness assessment and reporting of any biases in model performance across demographic groups. Ongoing / future work: - time to event analysis to evaluate disparities in progression to CKD; - more comprehensive evaluation of model biases, including gender, age, and intersectional biases; - Incorporate ML explainability methods; - investigate potential approaches for bias mitigation to develop fair models that perform equitably across groups. Mary M. Lucas1, Christopher C. Yang1, Mario Schootman2 1Drexel University; 2University of Arkansas for Medical Sciences This work was conducted with the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) Clinical Research Network (CRN). ADVANCE is a CRN in PCORnet®, the National Patient-Centered Clinical Research Network. ADVANCE is led by OCHIN in partnership with Health Choice Network, Fenway Health, and Oregon Health & Science University. ADVANCE’s participation in PCORnet® is funded through the Patient-Centered Outcomes Research Institute (PCORI), contract number RI-OCHIN-01-MC. This research was, in part, funded by the National Institutes of Health (NIH) Agreement NO. 1OT2OD032581-01. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the NIH. Results Table 1. Patient cohort distribution by race and CKD Table 2. Multivariable logistic regression results for race Figure 1. Predictive models performance Race Overall N = 343,347 No CKD N = 308,933 CKD N = 34,414 White 199,729 (58%) 180,749 (59%) 18,980 (55%) Asian 20,707 (6.0%) 18,152 (5.9%) 2,555 (7.4%) Black/African American 70,525 (21%) 62,392 (20%) 8,133 (24%) Other or Not Reported 52,386 (15%) 47,640 (15%) 4,746 (14%) Race aOR 95% CI p-value White — — Asian 1.10 1.05, 1.16 <0.001 Black/African American 1.39 1.35, 1.44 <0.001 Other or Not Reported 0.96 0.92, 0.99 0.024 FNR Difference FPR Difference White-Black/AA 0.094 (p=3.69e-05) -0.085 (p=1.159e-09) White-Asian 0.118 (p=7.84e-05) -0.108 (p=1.684e-07) Black/AA-Asian 0.024 (p=0.099) -0.023 (p=0.001)


Female limited X chromosome evolution and its effect on sperm competitiveness Yesbol Manat*, Georgios K., Katrine K. H., and Jessica K. Abbott Department of Biology, Lund University, 223 62 Lund, Sweden Contact: * yesbolmanat@biol.lu.se Conclusion vThe increasing trend in male attractiveness may due to increased body size, and the decreased offence ability may trade-off against pre copulatory success.


Fig 2 - WHERE TO FIND LINKED MICROSATELLITES Fig 1 - STAR-LIKE GENEALOGIES Demographic expansions produce characteristic genealogies where most coalescent events occurred at the time just before the expansion, when population size was small. The mismatch distribution expanded to linked microsatellites Miguel Navascués* & Olivier Hardy Laboratoire Eco-Ethologie Évolutive, Faculté des Sciences, Université Libre de Bruxelles, Avenue F.D. Roosevelt 50, Campus du Solbosch, 1050 Brussels, Belgium * Current address: Laboratoire d'Ecologie, École Normale Supérieure, 46 rue d'Ulm 75230 Paris Cedex 05, France. E-mail: m.navascues@gmail.com Pi ;0 ,1 ,=∑ j=i ∞ Pj ;0 ,1 ,×Pi ; j The use of genetic data to make inferences on demographic dynamics is one of the common applications of population genetics. Many statistical methods employed on this task are based on coalescent theory which describes the genealogical relationships among a group of genes as a function of population demography (fig 1). The theoretical background provided by the coalescent describes the distribution of mutations among the sample of genes under different demographic scenarios. However, the applicability of these predictions to empirical genetic data will be hampered by the mutational mechanisms that can erase or distort some of the useful information with back or parallel mutations. The inclusion of mutation models in theoretical predictions can improve the performance of statistical methods. Li (1977) described the probability distribution for the number of mutations (j) between a pair of haplotyes evolving under a demographic expansion. Schneider & Excoffier (1999) introduced a correction on that equation that allowed describing the distribution of the number of genetic differences (i) for mutation model for DNA sequence polymorphisms (see equation). Polymorpshim on linked microsatellites (repetitive DNA sequences of short repeat motif, fig 2) is sensitive to demographic expansions (Navascués et al. 2006). However large number of homoplasious mutations are expected on these markers which affects the estimation of demographic parameters. In order to improve the accuracy on these estimates we have developed a correction similar to that of Schneider & Excoffier (1999) but using the stepwise mutation model to describe microsatellite evolution. REFERENCES ● Li (1977) Genetics 85:331–337 ● Navascués et al. (2006) Molecular Ecology 15:2691–2698 ● Schneider & Excoffier (1999) Genetics 152:1079–1089 ACKNOWLEDGMENTS I am grateful to Brent Emerson & Concetta Burgarella for their support and discussion. This study was partially funded by the European Science Foundation ConGen Exchange Grant 1142 0 2000 4000 6000 8000 10000 12000 1 6 11 16 21 26 31 36 41 46 generations population size -0.216 2.725 6.784 -2.639 7.328 4.361 Sim τ = 7 -0.100 0.872 4.900 -1.498 2.398 3.502 Sim τ = 5 -0.144 0.493 2.856 -0.654 0.564 2.346 Sim τ = 3 0.025 0.154 1.024 -0.115 0.083 0.885 Sim τ = 1 bias mean squared error mean among estimates bias mean squared error mean among estimates Maximum likelihood estimator, model with homoplasy Maximum likelihood estimator, model without homoplasy Table 1 θ0=2N0μ θ1=2N1μ τ=2tμ Data was simulated for a set of linked loci evolving under a stepwise mutation model in a population going through a demographic expansion. Four different ages (τ) for the expansion were simulated and maximum likelihood estimates were obtained for the time of expansion using a model without homoplasy [using only Li's P(j;θ0,θ1,τ)] and a model accounting for homoplasy [using P(i;θ0,θ1,τ) with the correction based on the stepwise mutation model]. Table 1 shows how bias and error decrease when using the model corrected for homoplasy, specially for older expansions. probability distribution of the number genetic differences (i) given a demographic model (θ0,θ1,τ) probability distribution of the number of mutations (j) given a demographic model (θ0,θ1,τ) probability distribution of


The NCORES program: HARPS follow-up of TESS discoveries near the photoevaporation gap David Armstrong, NCORES consortium University of Warwick, LAM, IA-Porto, Geneva Observatory, CAB, ESO, INAF Torino, IAP, IAFE d.j.armstrong@warwick.ac.uk The Survey Targets and Current Results TOI-849b The NCORES program uses HARPS data to measure the masses of TESS planets near the photoevaporation gap. Our goal is to investigate the mass dependence of the gap at small planet-star separation. We are coming to the end of the survey, with 26 precise (<20% error) masses published or in prep, some in collaboration with other teams such as KESPRINT and Chile-MPIA. We are a member of TFOP, and almost all of our targets will contribute to the TESS Level 1 science requirement to measure masses for planets smaller than 4R⨁. Current targets in the mass-radius diagram. Published or submitted NCORES targets are in red, in prep is purple. The background of TESS planets is in blue. Planets span the range from terrestrial to Neptune-like, and include planets with masses of 3- 10M_Earth in the ‘fully evaporated’ region below the gap. Current targets as a function of insolation and planet radius, as compared to the original photoevaporation gap detection in Fulton et al (2017), AJ 154, 3. Planets in multiple systems are joined by dashed lines, some of which cross the gap. TOI-849b is a standout discovery from the program, the remnant core of a giant planet found inside the Neptunian desert. The planetary core may have been exposed through tidal disruption, planetary impacts, or extremely gas-poor formation. See Armstrong et al (2020), Nature 583, 39-42 for details. TOI-849b in the context of the Neptunian desert. The planet is near the size of Neptune but as dense as the Earth, implying an unusual formation or evolution pathway, particularly combined with its desert location.. 1 4 10 40 0ass (M⊕) 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5adius (R⊕) 100% H2O 50% H2O (arth-like 100% Fe TESS discovery Follow-up NGTS photometry Precise HARPS radial velocities High resolution imaging Rare planets revealed in the desert a b c d e Multi-instrument follow-up TFOP and data from multiple instruments like the NGTS facility is critical to the program. This figure shows the combination of data used to characterize TOI-849b.


Fitting equations of state User deﬁnes a start guess for mineral properties, the parameters they wish to change the pressure, temperature and volume data and optional uncertainties. Function returns ﬁtted parameters and the associated covariance matrix. The authors are thankful for input from (alphabetically by surname): Wolfgang Bangerth, Zack Geballe, Marc Hirschmann, Yu Huang, Jessica Irving, JiaChao Liu, Valentina Magni, Bill McDonough, Motohiko Murakami, Wendy Panero, Barbara Romanowicz and Quentin Williams. We thank Lars Stixrude for providing benchmarking calculations. This project was initiated at the CIDER workshop in 2012 (www.deepearth.org). The project is funded and supported by: BurnMan: Towards a multidisciplinary toolkit for reproducible deep Earth science Sanne Cottaar1, Robert Myhill2, Timo Heister3, Ian Rose4, Cayman Unterborn5, Juliane Dannberg6 1 University of Cambridge, 2 University of Bristol, 3 Clemson University, 4 University of California, Berkeley, 5 Arizona State University, 6 Colorado State University/Texas A&M University We present BurnMan[1], an open-source mineral physics python toolbox to determine thermodynamic and elastic properties for Earth minerals and rocks. BurnMan currently includes: Several equations of state (including Vinet, Birch Murnaghan, Mie-Debye-Grueneisen, Modiﬁed Tait) Popular solid solution models (ideal, symmetric, asymmetric, subregular) Published databases of minerals (Holland and Powell, 2011 [2]; Stixrude & Lithgow-Bertelloni, 2005; 2011[3]) Different averaging schemes for seismic velocities (Reuss, Voigt, VRH, Hashin-Shtrikman) Reference seismic models- 1D and soon 3D Reference geotherms Repository of work published using BurnMan A wide range of examples, benchmarks and unit tests BurnMan is designed to be simple and intuitive to use. For example, calculating and printing the properties of Mg0.9Fe0.1SiO3-bridgmanite at 30 GPa and 2000 K is just four lines of code: BurnMan is available at www.burnman.org and is being openly developed at https://github.com/geodynamics/burnman. Latest mineral physics additions Summary Interface with seismology Interface with planetary science Interface with geodynamics $ burnman.tools.fit_PVT_data(mineral, fit_params, PT, V, V_sigma) Hugoniot calculations (for shock experiments) User deﬁnes the reference conditions at the start of the shock, the set of pressures along which to calculate the Hugoniot, and an optional reference mineral. Function returns the volumes and temperatures along the Hugoniot. $ burnman.tools.hugoniot(mineral, P_ref, T_ref, pressures, reference_mineral) Equilibrium assemblage calculations (work in progress) User deﬁnes a bulk composition, a set of phases (endmembers or solutions), two constraints (compositional or P-T), and optional compositional guesses. Function updates assemblage with equilibrium compositions and conditions. [right] Olivine phase diagram constructed using BurnMan. $ burnman.equilibriumassemblage.equilibrate(composition, assemblage, constraints, guesses) $ bdg = burnman.minerals.SLB_2011.mg_fe_al_bridgmanite() $ bdg.set_composition([0.9, 0.1, 0.0]) $ bdg.set_state(30.e9, 2000.) $ print bdg.gibbs, bdg.S, bdg.K_T, bdg.heat_capacity_p Example applications • High pressure experimental data analysis • Geodynamic model interrogation for seismic properties • Forward-modelling for seismic proﬁles using bulk/mineral composition and temperature constraints • Self-consistent planetary mass/moment of inertia/pressure-depth calculations An example of using BurnMan in an MCMC inversion of outer core elastic properties will be presented at DI43A-2660 3D reference models So far, BurnMan has provided a range of seismically derived 1D radial models of the elastic properties of the Earth. An average 1D model however is not a true representation of the Earth. Constraints from fully 3D seismic models are needed to test, which thermo-chemical models ﬁt the velocity variations observed. Currently, we are working on provi


SST analysesIn In--situ Measurementssitu MeasurementsError Analysis Methodology Error Analysis Methodology Table. Information on the sea surface temperature (SST) analyses used in this study, where the input data were investigated based on the SST analysis information on January 1, 2014, or on information from the respective database website. where 𝑥𝑖represents the SST analysis, 𝑦𝑖stands for the buoy temperature, and 𝑥and 𝑦represent the average values of the SST analysis and buoy temperature, respectively. N represents the number of the data • The data used in this study covered the period 2014–2018. • During the study period, water temperatures were measured at 35 coastal wave buoys located around the Korean Peninsula, with 10 of these located in the EJS, 15 buoys in the southern region, and 10 buoys in the Yellow Sea. • The precision and temporal resolution of their water temperature measurements were 0.1 K and 1 hour, respectively. Kyung-Ae Park1), Hye-Jin Woo1), Hee-Young Kim2) 1) Dep. of Earth Science Education, Seoul National University, Seoul, Korea, Email: kapark@snu.ac.kr 2) Dep. of Science Education, Seoul National University, Seoul, Korea. This study presents results from the validation of seven global blended sea surface temperature (SST) analyses using the in- situ temperature measured from the coastal wave buoy and inter-comparison of them in the seas around the Korean Peninsula from 2014 to 2018: OSTIA (Operational SST and Sea Ice Analysis) CMC (Canadian Meteorological Centre) analysis, OISST (Optimum Interpolation SST), REMSS (Remote Sensing System) analysis, MURSST (Multi-scale Ultra-high Resolution SST), and MGDSST (Merged Satellite and In situ Data Global Daily SST). Overall, the root-mean square error of each analysis for the in-situ measurements was relatively high at a range from 1.27°C (OSTIA) to 1.74°C (REMSS). All analyses had warm biases over 0.29°C, which were distinctive in the southwestern coastal region of the Korean peninsula with remarkable SST cooling due to strong tidal currents in summer. In the comparison of temporal variability, most analyses revealed low coherency (< 0.5) in the period shorter than 10 days. The SST analyses have been compared against each other by investigating the spatial distributions of RMSE and bias errors. While most SST analyses tended to show good agreement in the open ocean, the differences had tendency to be amplified at the coastal regions and frontal regions. We discussed potential factors that cause the errors of SST analyses at the coastal regions by presenting the effects induced by grid sizes, distance from the coast, energy spectra, wavelet coherence, and thermal fronts in the marginal seas of the Northwest Pacific. Inter-comparisons of Daily Sea Surface Temperature Data and In-Situ Temperatures at Korean Coastal Regions • Our results indicated that SST analyses had a positive bias errors ranging from 0.31 K to 0.77 K and RMSEs ranging from 1.27 K to 1.76 K, in the coastal region of the Korean Peninsula. • Temporal scales and similarity between the in-situ temperatures and satellite- based SST database were examined using comparison of the wavelet coherence. This coherence was high (>0.8) for long periods (>180 days) and much less for short periods (<30 days). • This study revealed the SST differences between onshore and offshore regions and addressed the importance of using as many coastal buoy measurements as possible in the production of the SST analysis database. This is particularly important for the coastal phenomena with small spatial scales, which exist over short time-scales in the coastal regions. [Acknowledgement] This study was supported by the National Research Foundation of Korea (NRF), grant funded by the Korean government (MSIT) (No. 2020R1A2C2009464).Study Area Study Area Fig. (a) Currents in the study area, where the color blue represents water depth; (b) enlarged bathymetry map for the seas around the Korean Peninsula. Blue, green, and ye