EVAL R(0,1,8) CONFIRM S(y,x) R(3,4,10) CONFIRM S(x,y) R(0,2,9) CONFIRM T(x,w) R(0,1,8) CONFIRM T(x,w) R(0,1,8) CONFIRM S(y,x) CONFIRM T(x,w) Fill in Boolean Formula (False AND True) OR True Project R(x,y,z) on (x,y) (0,1) Output (0,1) S E M I - J O I N S P A R A L L E L I S M G R O U P I N G Parallel Evaluation of Multi-Semi-Joins Jonny Daenen Frank Neven Tony Tan Stijn Vansummeren Poster presentation VLDB 2016, New Delhi, India Semi-Joins R ⋉S = πR.∗(R ⋊⋉S) Semi-Join Reducers GYM (Afrati et al. 2014) Yannakakis 1981 Reduce Communication Overhead Bernstein et al. 1981 R1 R2 R4 R3 R5 R6 R ⋊⋉S = (R ⋉S) ⋊⋉(S ⋉R) 0 1 1 1 1 1 4 3 8 2 2 8 SGF Queries GF ~ Semi-Join Algebra Stricly = no top-level Boolean combinations Nesting Strictly Guarded Fragment Z1 = SELECT aut FROM Amazon(title,aut,’bad’) WHERE BN(title,aut,’bad’) AND BD(title,aut,’bad’) Z2 = SELECT newttl FROM Upcoming(newttl,aut) WHERE NOT Z1(aut) MSJ 0,1 REQUEST R(0,1,8) S(x,y) 1,0 REQUEST R(0,1,8) S(y,x) 0 REQUEST R(0,1,8) T(x,w) 1,0 ASSERT S(x,y) 1,0 ASSERT S(y,x) 0 ASSERT T(x,w) REQUEST R(0,1,8) S(x,y) REQUEST R(0,1,8) S(y,x) REQUEST R(0,1,8) T(x,w) ASSERT S(x,y) ASSERT S(y,x) ASSERT T(x,w) 0,1 0 1,0 0 1 8 0 3 2 9 10 4 R 4 3 1 3 0 2 S 1 0 0 7 4 9 T 1 Guard Atom Conditional Atoms EVAL(R, ϕ) MSJ(X1, X2) MSJ(X3) SELECT x,y FROM R(x,y,z) WHERE S(x,y) AND S(y,x) OR NOT T(x,w) BSGF Queries Boolean Combination X1 = SELECT x,y,z FROM R(x,y,z) WHERE S(x,y) X2 = SELECT x,y,z FROM R(x,y,z) WHERE S(y,x) X3 = SELECT x,y,z FROM R(x,y,z) WHERE T(x,w) 2 Rounds 100% 200% 300% 400% 500% 600% Net Time SEQ 100% 100% 100% 100% 100% PAR 59% 54% 68% 63% 63% GREEDY 60% 98% 56% 60% 74% HIVE1 241% 243% 129% 208% 465% HIVE2 139% 134% 138% 115% 476% PIG 217% 245% 201% 189% 237% 1-ROUND 43% 200% 400% 600% 800% Total Time 100% 100% 100% 100% 100% 253% 242% 245% 191% 265% 238% 170% 149% 168% 186% 225% 218% 142% 78% 211% 324% 317% 319% 117% 640% 540% 614% 490% 373% 576% 120% 200% 400% 600% Input 100% 100% 100% 100% 100% 240% 240% 240% 240% 291% 171% 110% 120% 132% 139% 246% 246% 124% 140% 298% 361% 361% 361% 181% 437% 344% 433% 344% 344% 535% 70% 100% 200% 300% 400% 500% A1 A2 A3 A4 A5 Communication 100% 100% 100% 100% 100% 133% 133% 133% 133% 161% 133% 108% 90% 120% 124% 202% 202% 122% 101% 244% 322% 322% 322% 161% 389% 304% 304% 304% 304% 367% 70% 50% 100% 150% 100% 100% 22% 44% 17% 36% 83% 69% 59% 92% 44% 131% 18% 100% 400% 700% 1000% 100% 100% 361% 43% 106% 27% 844% 61% 479% 58% 560% 87% 18% 100% 300% 500% 700% 900% 100% 100% 411% 51% 80% 25% 749% 80% 570% 77% 653% 73% 18% 100% 300% 500% 700% B1 B2 100% 100% 206% 28% 76% 18% 620% 67% 505% 66% 323% 63% 18% 25% 50% 75% 100% 125% 150% 175% Net Time SEQ-UNIT 100% 100% 100% 100% PAR-UNIT 31% 51% 73% 32% GREEDY-SGF 56% 71% 78% 42% 25% 50% 75% 100% 125% 150% Total Time 100% 100% 100% 100% 107% 121% 108% 67% 58% 74% 92% 57% 25% 50% 75% 100% 125% 150% Input 100% 100% 100% 100% 104% 108% 100% 79% 52% 61% 64% 50% 25% 50% 75% 100% 125% C1 C2 C3 C4 Communication 100% 100% 100% 100% 105% 105% 95% 76% 69% 79% 85% 72% Icons from “Business People Icons 11” via vectorpage.com, Creative Commons Attribution 3.0 License Hasselt University National Taiwan University Université Libre de Bruxelles Problem Cloud (AWS, GCP, etc.) Pay-as-you-go Minimize resource usage Keep low time SGF Queries Minimize total time Parallel queries ∩ R ⋉S R ⋉T R ⋉U ⋉ ⋉ ⋉ R S T U BSGF-OPT NP-hard (Nykiel et al. 2010) Greedy: 0 0 0 +200 +300 -100 X1 X2 X3 X1 X2 X3 EVAL Z := X1 ∧(X2 ∨¬X3) MSJ X1 := R(x, y) ⋉S(x, z) MSJ X2 := R(x, y) ⋉T(y) MSJ X3 := R(x, y) ⋉U(x) (a) EVAL Z := X1 ∧(X2 ∨¬X3) MSJ X1 := R(x, y) ⋉S(x, z) X3 := R(x, y) ⋉U(x) MSJ X2 := R(x, y) ⋉T(y) (b) EVAL Z := X1 ∧(X2 ∨¬X3) MSJ X1 := R(x, y) ⋉S(x, z) X2 := R(x, y) ⋉T(y) X3 := R(x, y) ⋉U(x) (c) SGF-OPT NP-hard Greedy: for each leaf find group with highest overlap +dependencies if no overlap, add one query to new group else add a max. overlap query to group remove leaf Z ⋉I H ⋉Q R ⋉S ∧T G ⋉S ∧T Z ⋉I H ⋉Q R ⋉S ∧T G ⋉S ∧T Multi-BSGF Cost


Translational Advances in Stem Cells for Diabetes Symposium | Minaretein, Education City, Doha, Qatar | March 8-9, 2023 Uhrf1 regulates adipogenesis through GPNMB mediated TGFBeta axis Background: The increased prevalence of obesity has led to a concomitant increase in the incidence of type 2 diabetes (T2D). Obesity-linked inflammation is the major cause of insulin resistance, contributing to the onset of T2D. Therefore, understanding the cellular mechanisms responsible for adipogenesis, the conversion of preadipocytes to adipocytes, is critical for identifying anti-diabetic therapeutic targets. Uhrf1 is a key epigenetic regulator that coordinates DNA methylation and histone modifications; however, the function of Uhrf1 in metabolic diseases is not known. Objective: Therefore, here, we aimed to understand the role of Uhrf1 in adipogenesis by studying Uhrf1 loss of function cells. Methods: We performed CRISPR/ Cas9 and shRNA-mediated gene silencing in addition to whole transcriptomics analysis on Uhrf1 KO cells. Results: We identified altered molecular and cellular pathways indicating that Uhrf1 is a critical factor required for adipocyte metabolism, and in its absence, cells exhibit adipocyte dysfunctions with higher levels of inflammatory markers. Conclusion: Our results highlight the possibility of Uhrf1 and its targets to have clinical applications in obesity and T2D treatment. Muneera Vakayil1,2, Aisha Madani1, Yasser Majeed1, and Nayef Mazloum1 1. Weill Cornell Medicine-Qatar, Doha, Qatar; 2. Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.


BUTANEXT: NEXT GENERATION BIOBUTANOL BUTANEXT CHALLENGES  Develop a two-step (mechanical-micronising & chemical-enzymatic pretreatment technology) that is versatile (works with different types of lignocellulosic feedstocks and wastes including recalcitrant materials) and low cost (reduces energy demands between 15-25%) both in terms of CAPEX and associated downstream OPEX for hydrolytic processing  Reduce enzyme dosage and costs (up to 25%) using a boosting cocktail, adapted to the Clostridium butanol fermentation process.  Increase fermentation efficiency by improving the butanol tolerance using non-GMO techniques to produce homo- fermentative next generation microorganisms, high productivity fermentation with in-situ product recovery (ISPR). The project targets a 2-fold increase in volumetric productivity versus a conventional ABE batch process.  Validate the technical performance of the whole integrated process from feedstock handling to product recovery in a centralised pilot facility (100L fermentation scale).  Perform a techno-economic and sustainability assessment of the integrated process in order to evaluate and guide further process developments and upscaling. ACKNOWLEDGEMENTS  MetGen Oy for the supply of enzymes for enzymatic hydrolysis assays.  The ButaNexT project has received funding from the European Union Horizon 2020 Research and innovation Programme under grant agreement n° 640462 Inés DEL CAMPO/ Irantzu ALEGRIA/ David SANCHEZ National Renewable Energy Centre (CENER) – Biomass Department. C/ Ciudad de la Innovación 7. 31621 Sarriguren, Navarra (Spain). Tel: +34-948-25-28-00. / idelcampo@cener.com/ialegria@cener.com/ dsanchez@cener.com Tim Davies/ Jenna Hewitt.Greenbiologics Ltd. ButaNexT@greenbiologics.com. Alvaro Pallares/Clemente Garcia. Técnicas Reunidas.apallares@tecnicasreunidas.es /cgredondo@tecnicasreunidas.es. Heleen De Wever/ Wouter Van Hecke. Vlaamse Instelling Voor Technologisch Onderzoek N.V.(VITO). heleen.dewever@vito.be / Wouter.vanhecke@vito.be. Magìn Lapuerta/David Fernández. University of Castilla la Mancha. Magin.Lapuerta@uclm.es / davidfdez232@gmail.com. Lucy Natrass. E4tech Limited. Lucy.natrass@e4tech.com. Bob Crawford. C-TECH Innovation Limited. bob.crawford@ctechinnovation.com. Juan Sanciñena. Zabala Innovation Consulting. JSancinena@zabala.es / Guillaume Corradino. Greenovate Europe. Guillaume.Corradino@greenovate.eu THE PROJECT TEAM BUTANEXT OBJECTIVES ButaNexT aims to develop and validate a cheaper, more energy saving, social and environmentally friendly integrated process able to efficiently convert sustainable feedstocks (lignocellulosic biomass and wastes) into biobutanol and define optimal biobutanol blends with fossil fuels and conventional biofuels (ethanol and biodiesel). Overall, the project aims to: • Validate for a relevant commercial concept significant cost reductions in biobutanol production vs 1st generation biobutanol production using the ABE process with starch. ButaNexT aims to reduce costs by up to 50% (targeting $800/T). The aim is to achieve price parity with the “best in class” bioethanol and biodiesel production in the EU. • Demonstrate enhanced energy balances and reduced carbon emissions vs 1st generation biofuel production. A reduction of 85% GHG emissions compared with fossil fuels (gasoline) is targeted. • Demonstrate butanol superior properties as fuel extender by optimising blends with gasoline and diesel and conventional biofuels (ethanol & biodiesel) to improve their performance characteristics and reduce emissions. The most promising diesel blends will be tested for performance and emissions in a diesel engine. • Demonstrate process sustainability via the utilisation of low cost and sustainable feedstocks (agricultural residues, energy crops and municipal wastes), the improvement of process conversion efficiencies (sugar and solvent yields and productivity) and the reduction of the environmental footprint (reduced energy requirements, water usag


Nefrolitiasis indolora en adolescente deportista de alto rendimiento. Reporte de caso. Autor: Trujillo-Sánchez Alan Uriel Coautores: Lara-López Analisse, Trujillo-Sánchez Ximena Estefania Trujillo-Sánchez Francisco & Vega-Ramírez José Rafael. Universidad de Guadalajara; Centro Universitario de Ciencias de la Salud; Nuevo Hospital Civil de Guadalajara "Juan I. Menchaca". INTRODUCCIÓN Se solicitó estudio de sedimento urinario, donde se encontraron eritrocitos dismórficos. Tras sospecha de patología glomerular, se complementa el abordaje con proteinuria de 24 horas (875 mg). Se indica biopsia renal percutánea guiada por ultrasonido, reportándose nefropatía por IgA. JUSTIFICACIÓN CONCLUSIONES Es importante considerar nefrolitiasis en pacientes jóvenes y atletas, incluso cuando no se presentan síntomas típicos, ya que ante la sospecha diagnóstica de nefrolitiasis y una evaluación integral se puede llegar al diagnóstico de certeza, en este caso la nefropatía por IgA. Referencias: 1. Clark M, Aronoff S, Del Vecchio M. Etiologies of asymptomatic microscopic hematuria in children - systematic review of 1092 subjects. Diagnosis (Berl). 2015;2(4):211-216. doi:10.1515/dx-2015-0020 2. Expert Panel on Pediatric Imaging:, Dillman JR, Rigsby CK, et al. ACR Appropriateness Criteria® Hematuria-Child. J Am Coll Radiol. 2018;15(5S):S91-S103. doi:10.1016/j.jacr.2018.03.022 3. Marra G, Taroni F, Berrettini A, Montanari E, Manzoni G, Montini G. Pediatric nephrolithiasis: a systematic approach from diagnosis to treatment. J Nephrol. 2019;32(2):199-210. doi:10.1007/s40620-018-0487-1 4. Van Batavia JP, Tasian GE. Clinical effectiveness in the diagnosis and acute management of pediatric nephrolithiasis. Int J Surg. 2016;36(Pt D):698-704. doi:10.1016/j.ijsu.2016.11.030 5. Velásquez-Forero F, Esparza M, Salas A, Medeiros M, Toussaint G, Llach F. Risk factors evaluation for urolithiasis among children. Bol Med Hosp Infant Mex. 2016;73(4):228-236. doi:10.1016/j.bmhimx.2016.05.006 Describir el caso clínico de un paciente con nefrolitiasis y ausencia de dolor. El fin es contribuir al conocimiento de esta variante sintomatológica. REPORTE CLÍNICO Masculino de 17 años de edad, atleta de alto rendimiento, que acude a consulta por hematuria macroscópica (3 días de evolución), refiriendo que 3 meses atrás tuvo un episodio similar (Un día de duración), episodios que se presentaron después de ejercicio demandante, el primero acompañado de lumbalgia, el segundo episodio sin presencia de dolor u otra sintomatología. DISCUSIÓN Este caso ilustra la importancia de una evaluación integral en pacientes jóvenes con hematuria macroscópica recurrente, especialmente aquellos que practican deportes de alto rendimiento. Aunque la presencia de cálculos renales puede explicar inicialmente la hematuria, es fundamental investigar otras posibles causas, como las enfermedades glomerulares. Examen de orina confirma hematuria verdadera. Fue referido por médico que solicitó Urotac, reportando nefrolitiasis derecha, contando con un lito de 1mm en el polo superior, además de tres quistes simples, el mayor de 1.4 cm. PROTOCOLO DIAGNÓSTICO INTRODUCCIÓN La nefrolitiasis es una patología que afecta a una parte significativa de la población, siendo más común en hombres. Generalmente se presenta con dolor lumbar intenso y cólicos renales, aunque en casos atípicos, como en este paciente joven atleta de alto rendimiento, los síntomas pueden ser sutiles o incluso estar ausentes, lo que dificulta un diagnóstico precoz. Figura A, B, C y D. Resultados obtenidos de la biopsia renal. C JUSTIFICACIÓN DISCUSIÓN INTRODUCCIÓN A C B D A Congreso de Actualidades Médicas de Pregrado ‘’CAMED’’.


Production of ATMPs: What are the specificities for quality aspects? Aurélie Mahalatchimy1, Eloïse Gennet2, Michael Morrison3, Véronique Andrieu4, Julie Véran5, Florence Sabatier6 1 Permanent Researcher in law at the French National Centre for Scientific Research (CNRS, CR), Law Faculty, UMR 7318 DICE CERIC, CNRS, Aix Marseille University, Toulon University, Aix-en-Provence, France; 2 Post-doctoral Researcher in Law, Law Faculty, UMR 7318 International, Comparative and European laws (DICE) CERIC, CNRS, Aix- Marseille University, Toulon University, Aix-en-Provence, France; 3 Senior Research Fellow in Social Sciences, Centre for Health Law and Emerging Technologies (HeLEX), University of Oxford, United Kingdom; 4 Senior lecturer in Industrial Pharmacy and Pharmaceutical Regulation, Faculty of Pharmacy, Aix-Marseille University, Research Unit Microbes Evolution Phylogeny and Infection (MEPHI) Aix-Marseille University, IRD, France; 5 Responsible of Cell therapy/Advanced Therapy Medicinal Products’ production at Marseille Public Hospital (AP-HM), Biotherapies Clinical Investigation Center, France; 6 Professor of Hematology and Biotherapy, Pharmaceutical Sciences Faculty, C2VN INSERM INRAe 1263 AIX Marseille University, Director of the cell therapy research centre at Marseille Public Hospital (AP-HM), France. Acknowledgements: This work has been supported by ANR-funded I-BioLex project (ANR-20-CE26-0007-01, coord. A. Mahalatchimy). M. Morrison is funded by the Leverhulme Trust through grant no RPG-2017-330. INTRODUCTION Advanced Therapy Medicinal Products (ATMPs) is a European classification of medicinal products based on genes, cells and tissues that have been specifically regulated in the European Union (EU) from 2007. Their manufacturing (i.e. their production) raises specific challenges for ensuring quality and complying with regulatory requirements in order to obtain manufacturing and marketing authorizations. Hence, on top of its guideline on the manufacturing of Biological active substances and Medicinal Products for Human Use (26 June 2018, 25 pages revised to consider the new ATMP guidelines), the European Commission also issued Good Manufacturing Practice specific to Advanced Therapy Medicinal Products (22 November 2017, very detailed text of 90 pages). Our hypothesis is that the biological nature that commonly characterizes ATMPs and biologicals may give rise to significant similarities in the manufacturing aspects as addressed by the respective guidelines. Through a comparative textual analysis of the GMP guidelines for biological medicinal products and ATMPs, this poster will highlight the key areas of similarities and differences. This analysis reveals why we have two different texts and whether they are based on substantial differences regarding production between ATMPs and other types of biological medicinal products. DISCUSSION & CONCLUSION Explicitly stated that the text on biologicals does not apply to ATMPs which are covered by specific guidelines, but the two texts share common aspects related to the biological nature of the product: Relevance of having two distinct and exclusive texts? The two texts could benefit from being formulated in a more similar manner to facilitate full understanding and implementation by stakeholders, especially manufacturers. COMMON TOPICS Main similarities Manipulation of raw and starting materials of biological origin raising common risks and challenges of quality reproducibility and sustainability, traceability and risk of cross or exogenous contaminations (compatibility of containments, importance of process controls, strategy for initial and final certification and batch release) Similar spirit of the two texts § Crucial role of manufacturing and control processes in determining the quality § Biological origin and related inherent variability à requested standards of quality SPECIFICITIES OF BIOLOGICALS VERSUS ATMPs ATMPS BIOLOGICALS Specific risks as presented in the scopes and


Use of a 3D printed auxiliary module for the quality improvement of Ni-P/SiC nanocomposite coatings A. Chouliara1,2, E. Papaioannou1, K. Mavronasou1, A. Bairamis1, A. Grigoropoulos1, A. Zoikis Karathanasis1 1Creative Nano PC, 4 Leventi Street, Peristeri, 12132 Athens, Greece 2Department of Material Science, School of Natural Sciences, University of Patras, 26504 Rio, Patras, Greece e-mail: anastasiachouliara22@gmail.com; e.papaioannou@creativenano.gr INTRODUCTION Ni-P/SiC composite electroplated coatings are considered as one of the most cost-effective and best-performing combinations that could replace hard chromium coatings, due to their excellent microhardness, as well as wear and corrosion resistance. These properties depend, among others, on the phosphorus content of the Ni-P matrix and the amount, distribution and particle size of the embedded SiC nanoparticles (NPs) [1]. Ni-P/SiC coatings can be divided in three main categories: low (1-5%), medium (5-8%) and high phosphorous content (above 9%) [2]. Pillai et al. observed that the incorporation of phosphorous in the nickel lattice can reduce the nickel grain size from microns to nanometers.[3] In addition, the utilization of pulse current electroplating has been shown to improve the quality and the properties of the Ni-P/SiC coatings [4, 5]. Nevertheless, the electroplating process also depends on other factors such as the design and actual set-up of the electroplating cell, the hydrodynamic conditions and the positioning and geometrical characteristics of the anode and the cathode. In this work, the modification of the electrolytic cell set up by designing and printing a plastic auxiliary module, made by ABS with the aid of a Fused Filament 3D printer is presented. This module was installed in the bath to alter the hydrodynamic conditions in the area of the cathode. The effect of the current density and the duty cycle on the pulse current Ni-P/SiC electrodeposition was subsequently investigated. REFERENCES [1] X. Yuan et al. (2009), Intern. Journal of Minerals, Metal. and Mater. 16, 444-451. [2] A. Lelevic et al. (2019), Surf. Coat. Tech. 369, 198-220. [3] A. M. Pillai et al. (2012), J. Coat. Technol. Res. 9, 785-797. [4] L. Wang et al. (2006), Scripta Mater. 55, 657-660. [5] A. Zoikis-Karathanasis et al. (2010), J. Alloys Compd. 494, 396-403. This project has received funding from the European Union’s Horizon 2020 research and innovation programmes under grant agreement No 862296, “Sabydoma” and grant agreement No 862583, ‘’NanoPat’’. CONCLUSIONS • A 3D printed barrier designed and printed using ABS filament in a FFF 3D printer was used to improve hydrodynamic conditions during electroplating. • The 3D printed barrier enhances the incorporation SiC NPs in the Ni-P metal matrix. • Optimization of duty cycle and current density in Ni-P/SiC electroplating produced the best Ni-P/SiC coating at f = 10 Hz, duty cycle = 37% and current density= 3 A/dm2 • A microhardness of 865 HV was obtained. Ni/SiC electrolyte g/L NiSO4∙6H2O 260 NiCl2∙6H2O 48 H3PO3 40 H3PO4 20 Saccharin 2 SDS surfactant 2.5 SiC NPs 10 Operating conditions pH = 2, T = 50 °C, Pulsed current with 20, 30, 35, 37and 40 % duty cycle, f = 10 Hz, Current density= 2, 2.3, 2.5, 2.7 and 3 A/dm2 , t = 5 h Figure 5. Optical microscope images (100x) of Ni-P/SiC coatings at (a) 20% (b) 30% (c) 35% (d) 37% and (e) 40% duty cycle at (f) 0.2 (g) 0.23 (h) 0.25 (i) 0.27 and (j) 0.3 A/dm2 current density. Figure 7. Microhardness and SiC content versus duty cycle (left) and current density (right) Figure 3. Comparison of silicon content in Ni-P/SiC coatings w and w/o 3D printed barrier Table 1. Ni-P/SiC electrolyte bath composition and Electroplating conditions Optimization of plating parameters After the establishment of the critical contribution of the 3D printed barrier, the plating parameters were optimized. Firstly, five different values for the duty cycle and the current density were examined. Moreover, particle size was m


www. ecotoxchip.ca Nil Basu1, Doug Crump2, Markus Hecker3, Jessica Head1, Gordon Hickey1, Natacha Hogan3, Steve Maguire1,2, Jianguo Xia1 1-McGill University, Montreal, Canada; 2-Environment and Climate Change Canada, Ottawa; 3-University Saskatchewan, Saskatoon, Canada; 2-University of Sydney, Australia Contact: info@ecotoxchip.ca; www.ecotoxchip.ca; www.ecotoxxplorer.ca ECOTOXCHIP: A TOXICOGENOMICS TOOL FOR CHEMICAL PRIORITIZATION AND ENVIRONMENTAL MANAGEMENT CHALLENGE • Chemical contamination threatens the health of humans and wildlife globally • Regulatory agencies and businesses are tasked to manage chemicals but are challenged: • many chemicals (e.g., 4.3K in Canada, 84K in USA, 101K in EU) need to be tested within short timeframes; • mandate to monitor many complex environmental samples (e.g., sediment, water, effluents); • testing is costly, time-consuming, and uses many animals; • tests on limited model species poorly predict risk in native species of concern. Urgent worldwide demand for improved testing tools that are more efficient, affordable, flexible, predictive, and less dependent on live animal studies ACKNOWLEDGEMENTS Funders: Génome Québec, Genome Prairie, Genome Canada, Environment and Climate Change Canada, the Government of Canada, the University of Saskatchewan, and McGill University People: Pascal Poulin (Project Manager), Emily Boulanger, Jenny Eng, Anita Masse (Local Project Managers), several graduate students, postdoctoral fellows, and technicians, staff at Génome Québec, Genome Prairie, and Genome Canada Research Oversight Committee: Drs. Nancy Denslow (chair), Kevin Crofton, Daniel Schlenk, Roy Suddaby, and Carole Yauk Core Partners: Government (Environment & Climate Change Canada, US Army Corps of Engineers, US EPA) & Business (SGS AXYS, Qiagen, Shell USA) Global paradigm shift in toxicity testing from historical whole-organism testing to mechanistic studies Human Health: • U.S. National Research Council’s “Toxicity Testing in the 21st Century-Vision and Strategy” • New Approach Methods - NAMs (e.g., toxicogenomic tools, alternative testing strategies) and stakeholder acceptance helping to transform the field Ecological Risk Assessment: • Avian ToxChip qPCR array developed by Environment and Climate Change Canada researchers via commercial partnership: à used to screen and prioritize chemicals; study real-world contaminated sites à embraced by Canadian regulators, environmental monitoring programs, and the scientific community OPPORTUNITY PROJECT DELIVERABLES 1. EcoToxChips for three key vertebrate model species used globally in ecological risk assessment (fathead minnow, Japanese quail, Xenopus laevis; fish, bird, frog); 2. EcoToxChips for three native species of commercial, recreational, and Aboriginal concern (rainbow trout, double- crested cormorant, northern leopard frog); 3. EcoToxXplorer.ca is an online and intuitive data evaluation tool that provides functions to allow users to upload EcoToxChip data and interpret results; and 4. Technical Guidance Document is informed by our GE3LS (social sciences) research and will be a government-vetted resource to advise end-users on how to adopt EcoToxChips. ACTIVITIES & UPDATE (60 month) Deliverable 1: • Currently we have EcoToxChips for Japanese quail (v0.1, v1), fathead minnow (v0.1, v1), and Xenopus laevis (v0.1, v1) • Moving ahead, the goal is to test these in a range of diverse case studies which can be viewed on our project website (http://www.ecotoxchip.ca/case.html) Deliverable 2: • Native species EcoToxChips have largely been designed, with production scheduled for late 2021 Deliverable 3: • Design and use of EcoToxXplorer.ca is well underway (you can use the tool!) • Refinement of algorithms that consider relevant approaches (points of departure, chemo- informatics, gene set signatures) to support interactive data mining and exploration • We are now evaluating different gene prioritization approaches based on this resource Deliverable 4: • T


ABSTRACT The RDP was created to systematically describe the current data licensing landscape from the perspective of data aggregation, reuse, and redistribution of publicly funded biological & biomedical data resources. We hope to engage the scientific community in discussion regarding the legal use and reuse of scientific data. EXAMPLE SCORES IMPLICATIONS SCORE OVERVIEW RUBRIC AT A GLANCE LICENSE HETEROGENEITY Evaluating scientific data licensing with the (Re)usable Data Project Technical, logistical, and legal barriers impede data reusability and interoperability, and are significant burden and expense. Being unable to integrate and redistribute our collective data resources blocks innovation and development of life-improving diagnostic & drug selection tools. Most seemingly “open data” does not provide legal permissions for reuse and redistribution. 5 star 3 out of 5 stars 56 sources 4 star 3 star 2 star 1 star 0 star 18% 21% 20% 18% 18% 5% custom unlicensed all rights reserved inconsistent GPL-3.0 MIT CC-BY-4.0 CC-BY-NC-4.0 CC-BY-ND-3.0 CC-BY-SA-3.0 CC-BY-SA-4.0 CC0-1.0 ODbL-1.0 public domain 22 5 3 5 1 1 8 1 3 1 1 3 1 1 permissive restrictive copyright unknown copyleft private pool 22 16 8 5 4 1 Public, discoverable, & standard • Is the license easily findable? • Is there one, unambiguous license? • Is the license standard? ? ? ? ? ?? To help biomedical research & research support communities understand & navigate the data licensing landscape, we created a rubric to determine the reusability of data resources and have applied it to 56 scientific data resources (e.g. databases) to date. Few restrictions on kind of reuse • Are all types of reuse (copying, editing, building upon, remixing, distributing) allowable? Easily accessible data • Is all data covered by the license? • Is the data in a reasonable place? • Is the data easily accessible in bulk? Complete scope • Are terms of reuse clearly defined without need for negotiation with data creators/curators? • Is the data easily accessible in bulk? Few restrictions on who can reuse • Can any type of user group reuse the data? 22 permissive 16 permissive 8 copyright 5 unknown 4 copyleft 1 private pool 22 custom 5 incon- sistent 5 unlicensed 3 all rights reserved 1 1 8 1 3 11 3 1 1 Non-permissive licenses are the largest group License landscape is very diverse ACKNOWLEDGEMENTS & INFO @monarchinit info@monarchinitiative.org See the full rubric at: http://reusabledata.org See the preprint at: https://doi.org/10.1101/282830 Community contributions welcome! https://github.com/reusabledata/reusabledata This heterogeneity and restrictiveness severely complicates the ability to combine & reuse data. Highly reusable data sources This work is supported by NIH Grants OT3TR002019, U24TR002306, R24OD011883, and the U.S. Department of Energy Contract No. DE-AC02-05CH11231. We would like to thank Arvin Paranjpe, Senior Technology Development Manager, OHSU, for his thoughtful discussion. SCORING BY CATEGORY 0 10 20 30 40 50 Have a violation Unknown No violations Clearly stated Accessible Comprehensive & non-negotiated Avoids restrictions on kinds of (re) use Avoids restrictions on who may (re) use 1. Oregon Clinical & Translational Research Institute, Oregon Health & Science University, Portland, Oregon, USA 2. Berkeley Bioinformatics Open-source Projects, Lawrence Berkeley National Laboratory, Berkeley, California, USA 3. OHSU Library, Oregon Health & Science University, Portland, Oregon, USA 4. Neurology, Oregon Health & Science University, Portland, Oregon, USA 5. Linus Pauling Institute, Oregon State University, Corvallis, Oregon, USA Nicole Vasilevsky 1, Seth Carbon 2, Robin Champieux 3, Julie A. McMurry 1,5, Lilly Winfree, Letisha R. Wyatt 4, Melissa A. Haendel 1,5 No license is found, but data is accessible. The license is clearly stated & standard, & has clear data access, but has terms that greatly limit reuse & redistribution. The license is custom, does not apply to all the data,


GRMHD Simulations of accreting neutron stars with dipolar and complex magnetic fields Pushpita Das, Oliver Porth, Anna Watts Anton Pannekoek Institute for Astronomy University of Amsterdam Abstract Accreting neutron stars (NS) and accreting millisecond X-ray pulsars (AMXPs) are one of the most interesting laboratories to study the physics of compact objects. Recently, along with providing highly precise mass and radius measurements, NICER also indicted the requirement of complex magnetic field structures to explain the observed X-ray spectra in some of the isolated millisecond pulsars. Rotation-powered millisecond pulsars are assumed to have undergone significant magnetic field evolution during the accretion phase. However, the details of this process are still poorly understood. We performed a suite of GRMHD simulations of accretion onto neutron stars, contrasting dipolar with non- dipolar field structures. Besides exploring processes in different accretion regimes, the simulations inform on the variability properties of the hotspots which can aid in future pulse-profile modeling of accreting sources. Numerical Setup We solve ideal general relativistic magnetohydrodynamic equations using the Black Hole Accretion Code (BHAC) in Schwarzschild coordinates. A few details of the numerical setup is illustrated below. • Effective resolution: 𝑁! × 𝑁" = 1920 × 768 • We initialize the magnetosphere with 𝜎= 100 and 𝛽= 0.01. • We ensure force-free like conditions in the magnetosphere by modifying 𝑝, 𝜌and 𝑢∥following Tchekhovskoy et al., 2013 • At 𝑟= 𝑅⋆, we put outflow boundary conditions at the accreting regions, thus allowing all the materials to pass through the surface undisturbed. Dipoles For reference we show three different accretion states for stars with dipolar magnetic fields rotating at an angular frequency of 0.03𝑐%/𝐺𝑀corresponding to ~572 Hz. Depending on stellar magnetic strength we can push the magnetospheric radius in or out of the corotation radius leading to various accretion states (Parfrey et al., 2017). Figure 1 : Logarithmic density for different values of surface dipolar moment at a fixed snapshot of t = 24570𝐺𝑀/𝑐!. (a) boundary layer, (b) Channeled accretion and (c) propeller regime. Dashed and solid lines represent the corotation and the light cylinder radius respectively (also for all the other density profiles) 𝑟"# 𝑟"# 𝑟"# 𝑟$" 𝑟$" 𝑟$" Conclusions • Hotspot visibility : Number and size of stream are strongly affected by field geometry! • In the parameter regime that we consider, on an average, the neutron star is always spinning down. • The effective spin-down torque at the stellar surface in case of quadrupoles is smaller compared to dipoles for the same surface polar field strength. • Addition of a quadrupolar field enhances the mater torque (causing more spin-up torque) and less spin-down EM torque. • We observe 1ms variability in the temperature profiles. Whether this leads to an observational signature affecting pulse-profile modeling depends on the thermal timescale on the surface and the details of the radiation transport. This is left for future work. Quadrupoles • The initial opposite polarities of the stellar field in the upper and lower hemispheres has a huge impact on the geometry of the accretion flow. • Fig: 2 shows the time evolution of the disk for Q = 70 where the initial disk magnetic field is anti parallel to the stellar field in the northern hemisphere and parallel in the southern hemisphere. • The asymmetric disk-magnetosphere coupling modifies the initial quadrupolar magnetosphere to resemble a quadrudipolar field in the vicinity of the stellar surface. • Fig: 3 shows density profiles for different quadrupolar strengths. Depending upon quadrupolar moment, we get different accretion states. At the lowest quadrupolar moment (Q = 25), the disk crushes the northern closed zone leading to boundary layer accretion. Increasing quadrupolar strength (Q) mainly has two effects. First, it halts the dis


Environmental damage assessment of conflict-affected coastal waters in Eastern Ukraine using ocean color Contact information Tetyana Kuchma, PhD, tanyakuchma@gmail.com +38-050-587-2066 Tetyana Kuchma National University of Kyiv-Mohyla Academy, Institute of agroecology and natural management, Kyiv, Ukraine Motivation The military action in Donbas region (eastern Ukraine) started from May 2014 among other devastating consequences affected the inland and coastal ecosystems. The recovery measures highly depend on the effectiveness of impact and da-mage assessment, but to this day the large area remains inaccessible for ground field studies. The objective of the research was to use the осеan color for the environmental changes detection due to hostilities influence. Result Time series of month-averaged values of SST, Chlorophyll-a, NO2, SO2 та CO were analyzed. A seasonal variability was demonstrated with the highest values between April-September and the minimum in October-March for most of the parameters, except of NO2. Thus the seasonal-averaged dynamics and trends was also analyzed. seasonal mean Methodology and study area In conflict zone the considerable anthropogenic pressure on the environment due to coal and ore mining and metallurgical production was multiplied by massive use of shell artillery. Based on satellite imagery analysis the 15,505 shell bursts craters were detected on the territory of 225 km2 over the period of 2014-2015. Thus a significant amount of chemical compound, such as CO, CO2, NO, N2O, CH2О, and SO2, has been released into the atmosphere. Water and soil samples revealed a considerable amount of heavy metals, sulfates and nitrates at the shell explosion sites [1,2] It should also be emphasized that armed confrontation zone is located in close proximity to the Sea of Azov coastal waters (in 100-km distance) and the hydrological conditions of the Sea of Azov due to its inland situation, are largely formed by external factors such as temperature, river run-off, etc. The methodology was based on the analysis of the variability of sea upper layer parameters and its relation to the atmospheric factors which affect them. The dynamics of Sea Surface Temperature (SST), Chlorophyll-a (Chl-a) and Particulate organic carbon (POC) concentration over 12-year period (2005- 2016) were studied using Modis imagery as the sea upper layer parameters and the dynamics of NO2, SO2 and CO concentration, obtained using OMI and AIRS sensors were used as indicators of atmospheric change. Data was downloaded from https://giovanni.gsfc.nasa.gov A significant decrease in Chl-a concentration in summer period was showed, starting in 2007 and followed by slight increase in 2014. SST positive trend showed a sea surface water warming, especially in summer period. The sharp increase in CO concentration was evident in August 2014, which could be associated with the beginning of intense artillery shelling and fires, as about 3,000 fires occurred in summer of 2014 in eastern Ukraine [1]. The increasing of NO2 and SO2 concentration in winter, and decrease in warm season was showed in recent years. References 1. Military Conflict in Eastern Ukraine - Civilization Challenges to Humanity - «Environment-People-Law», 2015. http://epl.org.ua/wp- content/uploads/2017/04/1817_EPL_Posibnuk_ATO_English.pdf 2. Civilization Challenges to Humanity»Assessment of the Environmental Impact of Military Activities during the Yugoslavia Conflict. Preliminary findings. — The regional Environmental Center for Central and Eastern Europe, 1999. http://www.monde-diplomatique.fr/cahier/kosovo/ecologie-rapport The analysis of year-averaged spatial distribution in 2015 showed that the highest Chl-a concentration is observed in northern-eastern coastal waters, and the highest SO2 and NO2 values are revealed in Donbas area and around big cities. Conclusion 1. Based on the regression analysis the relationship between coastal water parameters and atmospheric variability is


INTRODUCTION The stellar evolutionary theory, the stellar pulsation and binaries are the three most common ways help astronomers to study celestial objects as well as to study about the universes. The investigation and review by Murphy (2017) pointed out that the existence of the stars in binary and multiple systems outnumber of single stars by at least 2:1 (Murphy et al. 2017). With this work we arrived at the possible way the binarogram helpful to recognize the orbital peaks of low orbit delta Secuti stars from factious peaks with a strong confidence. Then, we obtained two a small kepler binaries with the method by modifying it. DATA AND MATHOD The method which we modified and used for detecting binarity is that of Balona (2014) using Kepler light curves. He discussed that the uniqueness of the method is that a direct periodogram of the orbital frequency is derived using all possible information to extract the time delay from the stellar pulsations. They also suggested that the particular advantage of using the time delay through constructing the binarogram curve in identifying that a Kepler pulsating star has a companion is that the curve displays the orbital frequencies from which all other orbital parameters are determined. The central messages of obtaining equal numerical values of forb at each pulsation frequency is that the causes of the time- delay is the presence of a companion of a Kepler pulsating star. And the reciprocal of this orbital frequency gives the orbital period of a star. RESULT AND DISCUSSION We modified the method through extracting several highest orbital frequencies with their corresponding a(sin(i)) from our final data which provides the banarograms at each pulsation frequencies. This is because of it can avoid several error may introduced during we read the numerical value of orbital frequencies from the graph directly. Then, we have introduced the horizontal vertical lines in previous binarogram so that clarify the how the orbital frequencies at each pulsation frequencies do not show a large variations unlike that of a(sin(i)). Figure-1: The three binarograms of KIC 4150611. The right panel is the modified binarogram which is the first out come of this our present work. The right panel is the modified of the middle one. Then we identified two δ Scuti stars wich has the orbital period of less than 50 d. That is KIC 8042044 and KIC 3952623 are 46.08 d and 19.5d respectively. These are shown in the figure-2 and fgure- 3. Figure-2: The modified binarogram (frequency versus a(sini)) of KIC 3952623 which shows the orbital frequency and period are 0.0217 d- and 46.08 respectively d. Figure-3: The modified binarogram of KIC 8042044 which shows the orbital frequency and period are0.0513 d- and 19.49 d respectively. CONCLUSSION AND FUTURE WORK This study shows that the orbital peak of KIC 8042044 and KIC 3952623 are 46.08 d and 19.5d respectively. The additional peaks in the binaroram of the second object needs further investigations. This shows thatit is possible to determine the orbital period of small orbits for a few binaries. Thus, the modified method is applicable to find a small orbit Kepler Binaries by overcoming others interference limit us to recognize the correct orbital peaks. We also intended to apply this modified binarogram on a plenty of unsolved problems pointed out in Murphy et. al (2017) and similar others. Acknowledgement This task includes data collected by the Kepler mission. Funding for the Kepler mission is provided by the NASA Science Mission directorate. YAM wish to thank the Kepler team for their generosity in allowing the data to be released and for their outstanding efforts which have made these results possible. REFERENCES L.A. Balona, 2014, Binary star detection using the time-delay method: application to 34 Kepler objects of interest, MNRAS 443, 1946–1954 S. Murpy, 2017, Finding binaries from phase modulation of pulsating stars with Kepler, Monthly Notices of the Royal Astron


alexander.snegirev@ugent.be © 2022 Ghent University, Campus UFO, Technicum Blok 4 Sint-Pietersnieuwstraat 41, 9000 Gent Flame evolution modes Growing spherical segment Steady flame Unsteady transient flame Top extinction Bottom extinction Symmetric oscillations Non-symmetric oscillations Steady oscillations Full extinguishment Spiral Capuchin Incomplete recovery Incomplete recovery Complete recovery Until fuel termination Motivation and objectives What is studied? • Zero gravity diffusion flame • Very low momentum of fuel flow, Re < 10 • Flat fuel source • Stagnant atmosphere, various oxygen content Two prototypes studied to date • Jet laminar flame: larger Re • Spherical flame around a point-source (droplet or candle): much smaller size of fuel source Practicality • It is this kind of flame that develops when a condensed fuel (liquid or solid) burns • Flammability of such a condensed fuel is directly coupled with the stability of gaseous flame Objectives • To provide interpretation of the orbital experiment BRE (Flamenco), 2019-2021 • To develop the model and evaluate its capability • To explain the dramatic effects incurred by the reduced gravity • To investigate the extinction mechanism and to analyze transient flame dynamics This kind of flame has not been investigated earlier The flame of interest is dissimilar to these prototypes FIRE INCEPTION IN MICROGRAVITY ORBITAL EXPERIMENT BRE-FLAMENCO ONBOARD THE INTERNATIONAL SPACE STATION, 2019-2021 A. Snegirev Ghent University, Faculty of Engineering and Architecture Department of Structural Engineering and Building Materials (Combustion, Fire and Fire Safety) Radiative extinction • In normal and zero gravity, characteristic velocities differ by two orders of magnitude, so do the flame residence times (≈ 0.04 in 1g and 8 s in 0g) => • The radiative heat loss in zero gravity is much higher than that in normal gravity. Its ratio to the heat release rate is ≈ 0.08 (1g) and ≈ 0.7 (0g, prior to extinction) • Maximum flame temperature: ≈ 2100 K (1g) and ≈ 1200 K (0g, prior to extinction) • As a result, the zero-gravity flame cannot attain the steady state: the initial stage of the steady growth is interrupted by the local extinction followed by flame oscillation and extinguishment (unless the oxygen concentration is increased to 30-40%) The experiment 59+139 orbital tests (2019 and 2020-2021) • Oxygen mole fraction in the ambient atmosphere: 0.21-0.4 • Pressure: normal (14.3-14.7 psi) and reduced (8.1-10.3 psi) • Burner mass flux 1.5-11 g/(m2·s) • Fuels: C2H4 - N2 mixtures, CH4 - N2 mixtures (0, 33 and 50% N2) • Burners: 25-mm and 50-mm diameter Recordings and measurements • Video 30 fps • Burner surface temperatures and heat fluxes (center, off-center) • Remote radiometer (radiative fraction) • Filament temperatures • A. Snegirev, E. Kuznetsov, E. Markus, P. Dehghani, P. Sunderland, Transient dynamics of radiative extinction in low-momentum microgravity diffusion flames, Proc. Combust. Inst. 38 (2021) 4815-4823 https://doi.org/10.1016/j.proci.2020.06.110 • E. Kuznetsov, A. Snegirev, E. Markus, Radiative Extinction of Laminar Diffusion Flame above the Flat Porous Burner in Microgravity: a Computational Study, Combust. Explos. Shock Waves, 56:4 (2020) 394-411 https://doi.org/10.1134/S0010508220040036 • A. Snegirev, E. Kuznetsov, E. Markus, P. Dehghani, P. Sunderland. Transient dynamics of radiative extinction in low-momentum microgravity diffusion flames. 38th Int. Combust. Symp., Adelaide, Australia, 24 – 29 January 2021 (Paper 1J05: 19-01152 • Kuznetsov E., Snegirev A., Markus E., Radiative Extinction of a Diffusion Flame in Microgravity. Proc. Ninth International Seminar on Fire and Explosion Hazards, 21-26 April 2019, St. Petersburg, Russia, SPbPU, 2019, Vol. 1, pp. 214-224 http://doi.org/10.18720/spbpu/2/k19-73 Publications • A. Snegirev, On radiative extinction of microgravity diffusion flames, Combust. Flame 2022 (submitted) Approximate theory • ( ) 2 2 3 2 1 3 , ,0 , O , 4 4 O


Characterizing cool giants in symbiotic binaries using the Gaia EDR3 data Jaroslav Merc1,2; Rudolf Gális2; Marek Wolf1 1Astronomical Institute of Charles University, 2 Institute of Physics, P. J. Šafárik University Jaroslav Merc Astronomical Institute of Charles University V Holešovičkách 2, 180 00 Prague, Czech Republic Email: jaroslav.merc@gmail.com Website: https://sirrah.troja.mff.cuni.cz/~merc/ http://astronomy.science.upjs.sk/symbiotics Contact 1. Gaia Collaboration et al. (2020). arXiv:2012.01533 2. Lindegren, L., Bastian, U., Biermann, M., Bombrun A., de Torres, A. et al. (2020). arXiv:2012.01742 3. Merc, J., Gális, R., & Wolf, M. (2019), Research Notes of the American Astronomical Society, 3, 28. 4. Merc, J., Gális, R., & Wolf, M. (2020a), Contributions of the Astronomical Observatory Skalnate Pleso, 50, 426. 5. Merc, J., Mikołajewska, J., Gromadzki, M., Gałan, C., Iłkiewicz, K., et al. (2020b). Astronomy & Astrophysics, 644, A49. 6. Mikołajewska, J. (2012), Baltic Astronomy, 21, 5. 7. Sion, E. M., Godon, P., Mikolajewska, J., & Katynski, M. (2019), The Astrophysical Journal, 874, 178. 8. Teyssier, F. (2019), Contributions of the Astronomical Observatory Skalnate Pleso, 49, 217. References Symbiotic stars are strongly interacting binaries, which consist of a cool giant of spectral type M (or less commonly K) and a hot compact star, mostly a white dwarf (see e. g. the review by Mikołajewska, 2012). Both stellar components radiate at distinct wavelength intervals (see Fig. 1). Their orbital periods range from hundreds to thousands of days. Symbiotic binaries are unique astrophysical laboratories in the study of the stellar evolution, mass transfer and accretion processes, stellar winds, jets, dust formation, or thermonuclear outbursts. Gaia observations made public in the Gaia EDR3 (Gaia Collaboration et al., 2020), as demonstrated in this contribution, could be very suitable for characterizing the Galactic symbiotic population. Introduction A factor that significantly limits analysis of the parameters of the components of symbiotic binaries is their unknown distance. Astrometric observations of the Gaia satellite can significantly help in this task. However, in the case of symbiotic binaries, many parallaxes are only poorly measured: some of them are even negative or are measured with large relative errors (Fig. 3). Moreover, the zero-point offset of parallaxes is present in the data (Lindegren et al., 2020). Another issue may be related to the binarity of symbiotics and their orbital motion, as the astrometric parameters from Gaia are obtained considering only the one-star model. In nearby long-period binaries, the shift caused by their orbital motion can be comparable to the effect caused by their parallax (e. g. as noted for AG Peg by Sion et al., 2019). Therefore, all the Gaia distance measurements for symbiotics must be interpreted with regards to these issues. In Fig. 4, we show the distribution of vertical distances of symbiotics from Galactic plane. Positions Thanks to several programs focused on discovering symbiotic binaries, the number of known symbiotic stars is growing rapidly in the recent decades. Based on the recent progress in the study of symbiotic stars, we have decided to prepare a new database of these interacting binaries (New Online Database of Symbiotic Variables; Merc et al., 2019). The purpose of the database is not only to serve as a catalogue of data for all known symbiotics with consistent references, but we have also prepared a web-portal for easy access to this information. For the catalogued symbiotic stars, we have prepared specific object pages covering all available information included in the database. Making the database online allows us to add new objects as soon as they are discovered and update data when new information becomes available. Database of symbiotics In addition to precise astrometric measurements, photometric data from the Gaia satellite could be used to monitor varia


Selection on positive length variants contributed to genome shrinkage in Arabidopsis Robin Burns, Magnus Nordborg Gregor Mendel Institute of Plant Molecular Biology, Vienna BioCenter Introduction The genome of the outcrossing perennial A. lyrata (207Mb) is larger than that of the selfing annual A. thaliana (125Mb), despite the two species diverging only about 6 Mya. This difference was previously attributed to numerous small deletions occuring in A. thaliana after the species split [1], and this was based on the use of a single reference genome for both species. Could, instead of just deletions, selection acting against positive length variants from standing variation have contibuted to the smaller genome size of A. thaliana? By comparing whole genome alignments for multiple long read assemblies of both species. We find that these indels are segregating in A. lyrata in agreement with selection against positive length variants contributing to genome shrinkage. Examination of short reads for a population of A. lyrata is ongoing. or a b A. thaliana reference (125 Mb) A. lyrata reference (207 Mb) ancestor (~200 Mb - family average) ancestral population A. thaliana population A. lyrata population / = Presence/Absence of Indels 1. More than half the A. lyrata reference is missing from A. thaliana 2. Long read assemblies show that these same indels are segregating in A. lyrata 3. Kmer approach to calling presence or absence of indels in short reads A. ly A. th insertion Whole Genome Alignment k-mers 1. 2. 3. presence/absence Chromosome level assembly of 2 Nanopore A. lyrata genomes 7 published A. thaliana long read assemblies available [2] 5. References 4. Conclusions and follow up Search for matching k-mers in short Illumina reads in a population of A. lyrata lines k-mers specific to sequences present in A. lyrata reference but missing from A. thaliana Aly.Unaligned Ath.Unaligned Aly.Aligned Ath.Aligned Alyrata Athaliana 0.0e+00 5.0e+07 1.0e+08 1.5e+08 2.0e+08 Base−pairs N unassigned DNAtes RNAtes intergenic introns CDS a ●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●● ● ● ●●●●● ● 0e+00 3e+07 6e+07 9e+07 0e+00 1e+06 2e+06 Size of indel Cumulative length species ● Alyrata b ●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●● ● ●●●● ● 0e+00 1e+07 2e+07 3e+07 4e+07 0 20000 40000 60000 Size of indel Cumulative length species ● Athaliana c 0 30 60 lat Location of Arabidopsis lyrata sub-species A. lyrata lyrata A. lyrata arenicola A. lyrata petraea A. lyrata petraeaumbrosa Self compatible Self incompatible 4. 0 20000 40000 60000 2 4 6 Athaliana Individual Frequency count a 0.0e+00 2.5e+07 5.0e+07 7.5e+07 1.0e+08 Deletions Base pairs Species Al At b ●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●●● ● ● ● ● 0e+00 1e+07 2e+07 3e+07 0 500000 1000000 1500000 2000000 Size of indel Cumulative length (34Mb), N=21748 c Population level whole genome alignments reveal that regions related to genome size differences between the A. thaliana and A. lyrata references are segregating in A.lyrata. Caution for such future comparions. SNPs around the locations will be examined along with kmer analysis for a population of A. lyrata. How does selection act on these regions in A. lyrata. Different mating types? Use of outgroups hindere


Genomics tools at your service Australian BioCommons provides bioinformatics tools that researchers ask for. We offer fully subsidised access to a range of services for Australian researchers. Galaxy Australia Genome Lab The simple web interface of Galaxy Australia opens up over 1,500 bioinformatics tools and 350 workflows to researchers - with no requirement for command line skills. Galaxy Australia’s Genome Lab provides quick access to ready-made workflows and powerful computation, and is complemented by the personalised support that you’d expect from a national service. Data preparation Genome assembly Genome annotation For more information about Galaxy Australia and the partnerships that make the Genome Lab possible, please visit usegalaxy.org.au


Una población vulnerable de Hetaerina vulnerata (Odonata: Calopterygidae) en la zona urbana de la Ciudad de México Rocío J. Guzmán-Ojeda y Enrique González-Soriano Instituto de Biología, Departamento de Zoología, Universidad Nacional Autónoma de México. email: rocio.j.guzman@gmail.com Métodos y área de estudio Para conocer el estado de la población se muestrearon adultos por Captura-Marcaje-Recaptura de Septiembre a Noviembre de 2017 (Fig. 1). Se colocaron 138 parcelas de 3 m × 3 m (1,242 m2) en 186 m del cauce (Fig. 2), realizándose recorridos entre las 10:00 y 15:00 h. Se registraron datos meteorológicos cada hora a través de un higrómetro (temperatura y humedad) que se complementaron con las lecturas de la estación meteorológica más cercana (Centro de Ciencias de la Atmósfera, UNAM, a 4.5 km). Se calculó el patrón de dispersión a través del índice de Morisita (Iδ) [5]. Figura 2. Mapa del área de muestreo. Se colocaron parcelas entre los 100 – 400 m y 600 – 700 m dirección de la corriente. Figura 1. Macho adulto de H. vulnerata. Los individuos se marcaron con un identificador único usando un marcador indeleble a prueba de agua. Hetaerina vulnerata es una libélula que habita en cuerpos de agua corriente en buen estado de salud y con presencia de vegetación riparia [1, 2] además de poderse encontrar hasta por encima de los 2,000 msnm. Esta especie se pensaba extirpada de la zona urbana del valle de la Ciudad de México debido a la desaparición o contaminación de su hábitat [3]. Sin embargo, en 2016 se descubrió una población pequeña de esta especie en el Parque Nacional Fuentes Brotantes de Tlalpan (PNFB) [4]; dicha población se encuentra aislada por el ambiente urbano a su alrededor y en uno de los pocos lugares que aún tiene un cuerpo de agua lótico en buen estado de salud para la presencia de odonatos. El propósito de este trabajo es conocer la condición actual de la población de H. vulnerata en el PNFB. Hetaerina vulnerata en la Ciudad de México Literatura Citada [1] García-García et al. 2017. Hydrobiologia 785(1):19–33 [2] Williamson. 1923. Occas. Pap. Mus. Zool. (130) [3] Mendoza-Trejo & González-Soriano. 1999. pp. 215–216 en Biodiversidad de la región de montaña del sur de la Cuenca de México. [4] González-Soriano. 20116. pp. 285–289 en La biodiversidad en la Ciudad de México, vol. 2 [5] Morisita. 1959. pp. 215–235 in Memoirs of the Faculty of Science, Kyushu University, Series E, vol. 2 Capturas y recapturas diarias Se capturaron 68 individuos adultos maduros: 64 machos y 4 hembras. Las capturas iniciaron a partir de las 11:00 h, lo cual coincidió con la hora de radiación más alta de la temporada (Fig. 3), sin encontrarse un patrón por temperatura o humedad. Sólo se registraron 5 eventos de apareamiento, de los cuales en 4 se capturó a la hembra por primera y única ocasión (Fig. 3). Dispersión El patrón de dispersión fue agregado (Iδ = 3.08; F0 < F138 ∞(0.05)) (Fig. 4), tendiendo a perchar principalmente en áreas abiertas, iluminadas, dentro o contiguas a la corriente, y que contaran con la presencia de hierbas acuáticas, arbustos o rocas. En las perchas dominaron 4 especies vegetales, 3 acuáticas (Fig. 6), mientras que las otras 12 especies representaron menos de 2% cada una. Esto indica la importancia de la presencia de plantas acuáticas bajas para el hábitat de H. vulnerata. Figura 3. Capturas y radiación por hora. Las barras indican los individuos capturados y recapturados; (●) radiación registrada por hora (CCA, Sep-Oct 2017); (*) eventos de apareamiento. Figura 6. Proporción de perchas. La vegetación acuática y rocas dentro o contiguas a la corriente fueron las perchas más utilizadas por H. vulnerata. Próximos análisis • Calcular movimiento diario. • Estimar el tamaño poblacional. • Calcular la longevidad del adulto. * * * * * Resultados Figura 5. Alturas de perchas. Figura 4. Dispersión de individuos adultos. Porción de parcelas entre 200 y 300 m del cauce. Los números indican capturas y recapturas por parcela. U


Meat quality and lipid composition of loin and topside from dairy-beef crossbred yearling calves and 2-year-old steers Introduction Results and Discussion • Livestock farming is challenged with finding alternative production systems due to the current impacts on animal welfare, the environment and climate change. • Producing veal from surplus dairy calves within 10 days of birth leads to animal welfare concern and compromises the social licence to operate. • Alternative farming systems are being considered in New Zealand by producing meat from crossbred surplus dairy calves finished on pasture at 8-12 months of age [1]. • It remained unclear the differences in quality and lipid composition of meat produced from dairy-beef crossbred yearling calves finished on pasture compared to commercial beef. Aim Evaluate the meat quality and lipid composition of loin and topside from dairy-beef crossbred yearling calves compared to 2-year-old steers. Methodology • Striploin and topside were obtained from yearling calves (n=12) and 2-year-old steers (n=12) of dairy-beef crossbred cattle finished on pasture. Meat samples were wet-aged at -1.5°C for 21 days (23 days post-mortem) and subsamples were taken for determining meat quality and nutritional compositions as shown in Fig 1. • Total fatty acids, %IMF and %MUFA were lower (P<0.05), while % PUFA, n-6 and n-3 PUFA were higher (P<0.05) in yearling calves. • Both meat types had healthy n-6:n-3 ratios (≤4.0) while higher values were observed in topside from 2-year-old steers than yearling calves. • The levels of vitamin A and β-carotene were lower (P<0.05) in meat from yearling than 2-year-old cattle. Conclusion • Beef from yearling calves and 2-year-old cattle differed in colour properties with similar cook loss and tenderness. • Producing beef from yearling calves can provide high-quality meat to meet the growing demand for lean meat products, while contributing to mitigate issues related to animal welfare and the environmental impact of meat production. Fig 1. A schematic illustration of meat samples and experimental design of this study. REFERENCES [1] Hunt, J. J., 2019, New Zealand Journal of Animal Science and Production 79: 153-155. . [2] Agnew, M.P., 2019, Metabolites 9(9): 189. [3] Nimalaratne, C., et al. 2014, Food Research International 66: 69-77. ACKNOWLEDGEMENTS This work was supported by AgResearch Strategic Science Investment Fund, SSIF-A27235 (Consumer Experience: pathways to premium foods). Renyu Zhang Romera, A., Deb- choudhury, S. Jacob, N., Alfante, R., Agnew, M., Farouk, M. M., & Realini, C. E* AgResearch Ltd, New Zealand *Carolina.Realini@agresearch.co.nz Table 1 Meat quality traits, fat-soluble vitamins (mg/g meat), intramuscular fat (IMF) and fatty acid profile (g/100 g meat) of loin and topside from yearling and 2-year-old beef. • Meat pH values were measured using a portable pH probe and in- strumental colour (CIE L*, a* and b*) was measured at three ran- dom positions of steaks using a Minolta Chroma Meter (CR-400). • Shear force (N) of cooked steaks (core temperature of 75°C) was measured by shearing perpendicular to the fibre axis direction of cross sections (10 mm×10 mm) using a Warner-Bratzler blade. • Intramuscular fat (IMF) content and fatty acids (FA) profile of sam- ples were analysed by a direct trans-methylation method [2]. • Fat-soluble vitamins (vitamin A and E, Lutein, β-carotene) were de- termined based on the method by Nimalaratne et al. [3]. • Data were analysed using R software and “lme4” and “predictmeans” packages. One-way ANOVA and Tukey’s honest significant difference were used to separate the means at P<0.05. IMF = intramuscular fat. SFA = saturated fatty acids = C10:0 + C12:0 + C14:0 + C15:0 + C16:0 + C17:0 + C18:0 + C20:0 + C24:0. BCFA = branched chain fatty acids = Iso-C15:0 + Anteiso-C15:0 + Iso-C16:0 + Iso-C17:0 + Anteiso-C17:0. MUFA = monounsaturated fatty acids = C14:1 + C16:1 + C17:1 + C18:1 trans-9 + C18:1 trans-11 + C18:1 cis-9 + C18:1


An online repository of body segment parameter models wspr.io/body-segment-param/ Will Robertson, School of Mechanical Engineering, 2016 Introduction Body segment parameter estimates of mass, moment of inertia, &c., is a requirement for biomechanical analyses. Errors in parameters propagate to calculated joint moments and muscle forces [1], in some cases leading to considerable sensitivity in results to segment parameter errors [2]. However, subject-speciﬁc modelling is time- consuming and there have been few studies on the variety of extant body segment pa- rameter models. These consist originally of cadaver studies completed before the 1970s, after which time medical scanning and photo- graphic approaches began to be used in more comprehensive studies. This work collates such studies into a pub- lic repository for general use and historic interest. The repository currently contains over twenty separate body segment param- eter models in studies conducted from 1860 to 2011. Relative mass models The relative mass models provide a scaling factor for the mass of each segment relative to the total mass of the subject. The repos- itory current includes eighteen such models, brieﬂy described in Table 1. – Only whole-body models with complete analysis of masses for all major segments and divisions are included. – Trunk mass is combined from up to four subsegments for cross-model comparison. – The model closest to the mean (RMSE = 8.0%) was the male data from Pavol et al. [3], a study on an older population. – Large ranges (±30%) gives credence to the approach of subject-speciﬁc modelling. The mean segment masses from the sixteen non-juvenile studies are shown in Figure 1. Figure 1: Average mass per segment for the rela- tive mass models for adults. 7.4 % 46.6 % 3.0 % 1.6 % 0.7 % 11.9 % 4.4 % 1.5 % Figure 2: Relative masses for each segment of each model, excepting models eight and nine, which deviate signiﬁcantly from the others. -40 -30 -20 -10 0 10 20 30 40 Percentage difference from mean HEADNECK RMS = 7.5% 1 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 TRUNK RMS = 6.3% 1 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 ARM RMS = 14.6% 1 2 3 45 6 7 10 11 12 13 14 15 16 17 18 FOREARM RMS = 16.0% 1 2 3 4 56 7 10 11 12 13 14 15 16 17 18 HAND RMS = 18.8% 1 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 THIGH RMS = 13.6% 1 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 LEG RMS = 7.3% 1 2 3 4 56 7 10 1112 13 14 15 16 1718 FOOT RMS = 18.5% 1 2 3 4 5 6 7 10 11 12 13 14 15 16 17 18 A visualisation of the non-juvenile models is shown in Figure 2, in which segment mass for each is compared to the mean. A deviation of at least ±10% is seen for each segment, indi- cating a large degree of variation in diﬀerent populations and with diﬀerent techniques. Mass–height regression models The repository also includes two comprehen- sive works that deﬁne segment parameters using mass and height as regression variables [16, 17]. These works describe six models, respectively: Chinese F & M, German F & M, and Russian F & M. Each contains data for mass, centroid, and moments of inertia. Figure 3 shows variation in segment mass be- tween models, for three heights per subject. High variability (e.g., head–neck segment for model 2, Chinese M) indicates caution should be used when applying these models outside of their original subject population ranges. Table 1: Relative mass models in the repository. Ref. Name Pop. Method Sex N SDev CoM 1. Harless (1860) Cadaver M 2 2. Braune et al. (1889) Cadaver 3 3. Dempster (1955) Cadaver M 8 ◦ 4. Fujikawa (1963) Japan Cadaver 6 5. Clauser (1969) Cadaver M 13 ◦ ◦ 6. Zatsiorsky et al. (1979) Russia CT F 15 ◦ 7. Zatsiorsky et al. (1979) Young adult CT M 100 ◦ 8. Jensen (1986) 12 yr Photo M 12 9. Jensen (1989) 6 yr Photo M 8 10. Jensen (1989) 18 yr Photo M 8 11. Jensen et al. (1994) Photo F 12 ◦ 12. Jensen et al. (1994) Elderly Photo M 7 ◦ 13. Cheng et al. (2000) China MRI M 8 ◦ ◦ 14. Pavol et al. (2002) Geometric F 50 ◦ ◦ 15. Pavol et al. (2002) Older G


Application of Physics-Informed Neural Network in prediction of chromatographic concentration profiles Filip Rękas1, Marcin Chutkowski2, Krzysztof Kaczmarski2 1 Doctoral School of the Rzeszów University of Technology, Poland 2 Rzeszow University of Technology, Poland The Physics-Informed Neural Network is an emerging technique that has been used for solving various problems involving partial differential equations (PDE). The main concept of the PINN is to reach consistency with the governing physical laws by using training loss function that takes PDEs into account and allows to obtain the results with better accuracy. In this work application of the PINN method to predict the gradient elution profiles of single-component and a binary mixture systems is presented. The dataset for training and testing the PINN was collected by solving the ED column model using the volume method. The following dimensionless form of the Equilibrium Dispersive Model is considered: ௧ ௧ ௘ ௧ ௘ ௧ ଶ ଶ with ௙ ᇱ ௙for ௣ and ௙ ᇱ for ௣ The dimensionless parameters were defined as follows: ௭ ௅ ௧௨ ௅ఌ೐ y ஼ ஼ೝ ௤ ஼ೝ ௦ ௤ೞ ௖ೝ ௨௅ ஽ಽఌ೐ where cr was assumed to be equal to 1 and L is - column length. A scheme of the PINN architecture was illustrated in Fig. 1, where the three input neurons, corresponding to spatiotemporal coordinates (x, ) and injection features ( ) were placed. The injection features are the inlet concentration ( ଴) and the time during the constant concentration is fed into the column ( ௣). On the other hand, the outputs are spatiotemporal fluid-phase concentrations contained in the pores, y(x, ), and concentration in the stationary phase, Q(x, ), which is similar to that proposed by Subraveti et al. [1]. The given outputs are subsequently fed into automatic differentiation layer, which computes partial derivatives. Obtained PDE loss ( ௉஽ா) is further factored into the total loss ( ). Fig. 1 The sketch of Physics-Informed Neural Network structure. INTRODUCTION RESULTS AND DISCUSSION CONCLUSIONS Presented model was implemented in PyTorch framework with the Adam optimizer as the gradient descent based algorithm. The weights were initialized by the Glorot initialization. The fully-connected neural network was made up of 5 hidden layers with 50 neurons in each. Latin hypercube sampling (LHS) was employed to determine the collocation points. To cover the spatiotemporal domain, the number of collocation points was set to 5000. The Hyperbolic tangent was utilized as the activation function. The following formula for the loss function has been proposed: ௉஽ா ூ஼ ஻஼ where corresponds to trainable parameters, in turn ௉஽ாdenotes: ௉஽ா ௙ ௧ ௧ ௘ ௧ ௘ ௧ ଶ ଶ ଶ ே೑ ௜ REFERENCES [1] Subraveti et al., Ind. Eng. Chem. Res. 2023, 62, 5929−5944. Fig. 5 Case study for various injection time: comparison of the PINN predicted and the ED model solution. Fig. 2 Case study for various inlet concentrations: comparison of the PINN predicted and the ED model solution: a) single-compound system, b) binary mixture system. Fig. 3 Case study for various injection time: comparison of the PINN predicted and the ED model solution: a) single-compound system, b) binary mixture system. Fig. 4 Case study for various tg: comparison of the PINN predicted and the ED model solution. a) single-compound system, b) binary mixture system. ACKNOWLEDGMENT This work is supported by: Grant NCN 2022/45/B/ST8/00591 “Analytical and preparative gradient chromatography – advanced modeling” from the Polish National Science Centre The presented concept of using the PINN to predict gradient elution profiles is novel and previously unreported. The effectiveness of the PINN's prediction of elution curves has been verified by comparing them with ED model solutions. The optimization of the efficiency of species separation can be a tedious task that often requires up to several thousand model solutions. It seems that the solution of this problem may be the application of the physics-informed neural networks. Future work


Expert Resources & Support for Data Management Planning Carly Strasser & Patricia Cruse carly.strasser@ucop.edu | patricia.cruse@ucop.edu In brief: Many funding agencies require data management plans (DMP) as part of grant proposals. The DMPTool helps institutions & researchers to create high-‐quality DMPs that meet funder requirements. The DMPTool collaboration has two grant-‐funded projects underway: 1. Support from the Alfred P. Sloan Foundation to expand functionality and release a second version of the tool 2. Support from the Institute of Museum and Library Services to provide librarians with information to better integrate the DMPTool into their services. What is the DMPTool? Coming soon: DMPTool2 Free step-‐by-‐step web application for creating data management plans for funders Founding partners: DataONE; Digital Curation Centre; Smithsonian Institution; UC Curation Center, California Digital Library; UCLA Library; UC San Diego Libraries; University of Illinois; University of Virginia Libraries General & institution-‐ speciﬁc resources Funder-‐provided information & plan outline Suggested answers & help text Space to answer questions Log in with institution credentials dmptool.org blog.dmptool.org bitbucket.org/dmptool/main @TheDMPTool For administrators: • Better plan template granularity (discipline, funder, question) • Better institution granularity (department, college, lab group, …) • Role-‐based user authorization & access • Enhanced search and browse of plans • Access to metrics for reporting & follow-‐up For plan creators: • DMP life cycle management • Collaborative plan creation • Role-‐based user authorization & access • Better plan templates & resources Plus… • Institutional branding • Open API website blog resources twitter Learn More


0 99% same polymer matrix E.g., Two tyres from different brands 1% difference in additives Remaining sample pyrolysed GC Polymer detected GC (compound separation) MS (compound identification) Thermal desorption of sample Minimal amount of sample needed Direct analysis (no sample preparation required) Better resolution of volatile compounds - including additives Py-GC/MS components: Pyrolyser Cryo-trap GC MS Polymeric product = Polymer matrix + Additives Manufacturers' additive preferences drive chemical variation between brands Analytical technique: Double-shot Pyrolysis-GC/MS Scene compare with Suspect's possession provide link between Suspect Crime scene Polymeric evidence found at a scene: Detects additives MS Compounds condensed at the column using cryo-trap with N then released at the same time 2(liq.) Advantages for forensic analysis Comparison of SS vs DS Supported by: Elution time (min) Relative intensity Figure 1. Total ion chromatograms of tyre rubber (tread). The numbered peaks are examples of the common compounds detected in tyres. Contacts: nieo326@aucklanduni.ac.nz https://www.linkedin.com/in/chloe-ieong/ Results for tyre rubbers Single-shot (SS) Py-GC/MS involves pyrolysis at a set temperature Double-shot (DS) Py-GC/MS involves thermal The DS-TD allows the detection of 3 additional desorption (TD) followed by pyrolysis (Py) additive compounds (Bold in Fig. 1) Isobutylamine: Rubber accelerator Cyclohexanethiol: Chemical intermediate, stabiliser 1,2-dihydro-2,2,4-trimethyl-quinoline: rubber antioxidant References: 1. PubChem. (n.d.). Isobutylamine. Retrieved 22 August 2023, from https://pubchem.ncbi.nlm.nih.gov/compound/6558 2. New Jersey Department of Health and Senior Service (2000) Hazardous substance fact sheet-Cyclohexanethiol. Retrieved 22 August 202, from https://nj.gov/health/eoh/rtkweb/documents/fs/0568.pdf 3. Nowicki, J., Jaroszewska, K., Nowakowska-Bogdan, E., Szmatoła, M., & Iłowska, J. (2018). Synthesis of 2,2,4-trimethyl-1,2-H-dihydroquinoline (Tmq) over selected organosulfonic acid silica catalysts: Selectivity aspects. Molecular Catalysis, 454, 94–103. https://doi.org/10.1016/j.mcat.2018.05.016 4. Lv, Y. (2020). Py-GC/MS analysis of tyre rubber in traffic accident cases. Australian Journal of Forensic Sciences, 52(3), 313–322. https://doi.org/10.1080/00450618.2018.1545869 5. Causin, V. (2015). Polymers on the Crime Scene: Forensic Analysis of Polymeric Trace Evidence. Springer International Publishing. https://doi.org/10.1007/978-3-319-15494-7 6. Canvas (2023). Images of the forensic scientist and car tyre DS-Py 2 3 8 5 6 DS-TD 4 1 7 2 3 5 6 — — SS-Py 2 3 8 5 — 6 — 1: Isobutylamine 2: Benzene 3: Toluene 4: Cyclohexanethiol 5: D-Limonene 6: Benzothiazole 7: 1,2-dihydro-2,2,4- trimethyl-quinoline 8: Styrene Rubber and plastic-like products are composed of polymeric materials. Wads from shotgun DOUBLE THE SHOT, DOUBLE THE GAIN Chloe Ieong Supervised by Sally Coulson and Mickayla Dustin Common Polymeric Products found at Crime Scenes Disposable gloves Rubber smears from tyres Road cone fragments Aim: Increased Discrimination by Analysis of Additives Background a. School of Chemical Sciences, University of Auckland b. The Institute of Environmental Science and Research Ltd Current analytical methods focus on the detection of only the polymer. Based on the prevelance of polymeric products they are frequently found at crime scenes. A technique that detects both polymers and additives will provide better discrimination. (b) (b) (a) 1 2 3 Tracing chemical clues: Additive analysis of polymeric products using Double-Shot Pyrolysis Gas Chromatography/Mass Spectrometry (Py-GC/MS) —


EFFECTS OF LIGHT EXPOSURE ON DAYTIME FUNCTIONNING OF PATIENTS SUFFERING FROM SLEEP DISORDER Illuminating daily struggles related to sleep disorders VAIDA VERHOEF, MSC. SUPERVISOR TEAM: PR.DR.IR. YVONNE DE KORT, PR.DR. SEBASTIAAN OVEREEM, DR.IR. KARIN SMOLDERS HUMAN TECHNOLOGY INTERACTION GROUP_ DEPARTMENT OF INDUSTRIAL ENGINEERING & INNOVATIONS SCIENCES TO START Excessive daytime sleepiness (EDS) is a frequent concern among the clinical and the non-clinical population1,2. Despite its high prevalence, daytime sleepiness remains difficult for people to describe and thus to recognize, diagnosed and treat3,4. Generally defined as a propensity to sleep, sleepiness is often called tiredness, misjudged as fatigue, or described as a lack of alertness, attention or vigilance3,5,6. The overlapping constructs around sleepiness mirror the multitude of assessments methods and contribute to the complexity of sleepiness detection3. Further research is needed in order to improve the detection and monitoring of sleepiness and other sleep related daytime impairments. A PATIENT CENTERED PERSPECTIVE A qualitative study was performed to gain more insight into what patients sufferings from sleep disorders are experiencing and how they describe it. Among 20 patients suffering from narcolepsy or sleep apnoea, we conducted semi-directed interviews centred around the daytime consequences of their diagnosis. The data collected are currently under thematic analysis. First insights: • Patients found it important to discuss and share their daytime struggles. • Different definitions were used to describe sleepiness, fatigue, tiredness and other complaints. • The terms, metaphors and definitions used by patients don’t always correspond to validated subjective measures used by clinicians and researchers. “Walking through syrup” “Fog in my head” “A empty savings account of energy” “A hollowness” “A white light in my head” “Heavy legs” 1Thorpy & Billard, 2011;2Jaussent et al.,2017; 3 Shahid et al. 2010; 4 Slater & Steier, 2012; 5Shen et al., 2006; 6Yun et al., 2015 A FIELD MEASURE OF SLEEPINESS To investigate the validity, sensitivity, and specificity of new and existing metrics of sleepiness for field assessments, we designed a quantitative study combining field and lab measures. We will apply a sleep restriction paradigm among 20 healthy participants. This will enable us to monitor field-levels of sleepiness in response to the cumulative effect of continuous partial sleep restriction, and compare them to commonly-used and validated lab measures. The field assessments of sleepiness include: • Continuous keystroke monitoring • Self-reports (KSS, SSS, VAS) using the experience sampling method (10 short questionnaires per day) • Continuous skin temperature recording and Actiwatch monitoring • Daily questionnaires (ESS, PROMIS) and performance task (PVT) A FUTURE IN DAYLIGHT Insights into the patients’ experiences and into field measures of sleepiness will enable us to pursue the main aim of this project: Investigating how daytime light exposure might benefit patients suffering from sleep disorders. Future studies will evaluate how the field measures respond to patient’s experiences and how they might be affected by daylight and manipulated light exposure patterns. This endeavour is part of the LIGHTCAP7 consortium, a European project that focuses on the study of both image and non-image forming pathways of light. In particular, this project is part of the second work package, that investigates the effects of light on human’s cognition, attention and perception, in both laboratory and field studies. 7LIGHTCAP This research is part of the European Training Network LIGHTCAP (project number 860613) supported by the Marie Skłodowska-Curie actions framework H2020-MSCA-ITN-2019. Figure1. Overview of the experiment protocol


Methods Results CO_AutoCorr DN_CompareKSFit FC_LocalSimple FC_Surprise IN_AutoMutualInfoStats NL_BoxCorrDim NL_TSTL PH_Walker SB_TransitionpAlphabet SC_FluctAnal ST_LocalExtrema SY_KPSStest TSTL_localdensity Prediction of time samples Self-similarity Angus Leung, Ahmed Mahmoud, Travis Jeans, Ben Fulcher, Bruno van Swinderen, Naotsugu Tsuchiya angus.leung@monash.edu Background • The neural mechanisms of consciousness remain elusive • Proposed mechanisms are derived from consciousness markers • BUT current consciousness markers have issues: ◦Identified markers have no principled link with consciousness ◦Bias towards time-series features which are visually identifiable ◦Bias towards specific analyis methods from researcher background ◦Bias towards specific data sets • NEW approach: agnostically evaluate as many analysis methods as candidate consciousness markers ◦Made possible by highly comparative time-series analysis [1] ◦hctsa provides a library of >7,000 univariate time-series features from various research fields ◦Evaluate generalisation of candidate markers to multiple, wide-ranging inde- pendent datasets 0.4 0.5 0.6 0.7 discovery accuracy 0.35 0.4 0.45 0.5 0.55 0.6 evaluation accuracy sig. in all flies 0.4 0.5 0.6 0.7 0.8 0.9 discovery consistency 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.7 ApEn EN_MS_LZcomplexity EN_PermEn EN_SampEn SP_Summaries evaluation consistency 100µm ch1 ch15 x13 discovery flies (D) x49 evaluation flies (E) V 2.25s D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D11 D12 D13 E14 E15 D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D11 D12 D13 E1 E2 0 0.5 1 norm. value anest wake 0 1 D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D11 D12 D13 -1 1 E1 E2 0 1 W-A wake - anest anest wake e.g. StatAvl250 e.g. MD_rawHRVmeas_SD2 DN_FitKernelSmooth DN_Mean DN_Moments DN_Spread MD_rawHRVmeas ch6 ch6 ch6 ch1 ch1 ch1 ch1 ch1 ch1 ch1 ch3 ch3 ch3 ch3 ch3 ch3 ch3 ch4 ch4 ch4 ch4 ch4 ch4 ch4 ch4 ch4 ch3 ch9 ch9 ch9 ch9 ch9 ch9 ch9 ch8 ch8 ch4 ch3 ch1 ch9 Top 40 features Variability of time samples Variability of kernel-smoothed samples 1000 2000 3000 4000 5000 6000 feature discovery multidose8 multidose4 singledose sleep -0.6 -0.4 -0.2 0 0.2 0.4 0.6 Δ value 1000 2000 3000 4000 5000 6000 feature train W multidose8 W singledose W sleep W train A multidose8 A singledose A sleep S fly 0 0.5 1 scaled value 1.5 • hctsa values for each fly (channel, epoch averaged) • Differences (wake - anaesthesia) in hctsa values for each fly (channel, epoch-pair averaged) • Features related to previously identified markers (coloured x’s; e.g. spectral power, SP) fail to strongly generalise to evaluation flies • Top feature, NL_BoxCorrDim_50_ac_5_minr13, related to fractal geometry • Direction of effect of anaesthesia/sleep is consistent for many features, including those which did not strongly generalise (e.g. SP) • Failure to strongly generalise due to high inter-fly and -dataset variability • Only 47 features strongly generalised across all flies, at centre of fly brain • Features related to self-similarity and -prediction measures • 5280 features across whole fly brain weakly generalise across all flies • Top features related to variance measures strong generalisation weak generalisation 500 1000 1500 2000 t (ms) -2 -1 0 wake unawake discovery multidose8 multidose4 singledose sleep NL_BoxCorrDim_50_ac_5_minr13 log( +12.2) discovery multidose8 multidose4 singledose sleep 0.2 0.4 0.6 0.8 SP_Summaries_fft_area_5_1 Summary • Apply hctsa to neurophysiological recordings obtained during wakefulness and loss of consciousness, using registered report framework • Stage 1 for each feature, train and evaluate a classifier on a discovery dataset: ◦N = 13 flies (D; wake / isoflurane anaesthesia; cross-validation) • Stage 2 for each feature, evaluate generalisation of trained classifier across indi- viduals to independent, previously blinded, evaluation datasets (strong generali- sation) ◦N = 8 + 4 + 18 + 19 = 49 flies (E; wake / isoflurane aneasthesia / sleep) • Stage 2 for each feature, evaluate the co


Predicting Clinical Deteriorations using Wearable Sensors Peter.Charlton@kcl.ac.uk Peter H Charlton 12, T Bonnici 1, L Tarassenko 2, PJ Watkinson 3, DA Clifton 2, R Beale 1, J Alastruey 1 1 Faculty of Life Sciences and Medicine, King’s College London, UK; 2 Department of Engineering Science, University of Oxford, UK; 3 Oxford University Hospitals NHS Foundation Trust, UK Clinical Problem Aims Monitoring breathing rate unobtrusively Predicting deteriorations using wearable sensors Next Steps Hospital patients are at risk of clinical deteriorations such as heart attacks and strokes. Early signs of deteriorations can be identified from clinical measurements such as heart rate and blood pressure. These are measured by hand every 4-6 hours. It may be possible to monitor patients continuously using wearable sensors. Breathing rate is a key marker of deteriorations, but it is difficult to measure electronically. 1. To develop a technique for monitoring breathing rate unobtrusively using wearable sensors. 2. To assess whether wearable sensors can be used to reliably predict deteriorations using this technique. Wearable sensors gave advanced warning of physiological changes hours before routine practice Wearable sensors predicted deteriorations with similar accuracy to routine practice AUROCs: 0.79 0.78 AUROCs: 0.69 0.73 Many wearable sensors monitor the heart using the ECG signal, which is influenced by breathing. Errors (in breaths per minute) 0 -10 10 -5 5 By hand Intensive care monitor A novel technique was developed to estimate breathing rate from the ECG. Laboratory tests showed that it was at least as precise as existing methods. New technique cardiac arrest normal range The novel technique was able to identify elevated breathing rates (BRs) in the hours preceding a cardiac arrest, when routine practice did not. ECG (BW) Time [s] 0 2 4 6 8 10 ECG (AM) ECG Acknowledgments This work was supported by the UK EPSRC (Grant EP/H019944/1), the NIHR Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London, the NIHR Oxford Biomedical Research Centre Programme, the Oxford and King's College London Centres of Excellence in Medical Engineering funded by the Wellcome Trust and EPSRC under grant no. WT88877/Z/09/Z and grant no. WT088641/Z/09/Z, a Royal Academy of Engineering (RAEng) Research Fellowship awarded to DAC, and an EPSRC Challenge Award to DAC. The views expressed are those of the authors and not necessarily those of the EPSRC, NHS, NIHR, Department of Health, Wellcome Trust, or RAEng. Smart watches routinely measure a signal which is influenced by both the heart and blood vessels. 0 1 2 3 4 5 6 7 8 9 10 Time [s] PPG The signal is indicative of cardiovascular health, providing opportunity to predict deteriorations in the wider population. Atrial fibrillation is an arrhythmia affecting 25% of patients after heart surgery. Here, the wearable sensor identified an increase in heart rate, indicating atrial fibrillation, prompting treatment. Here, the wearable sensor detected a drop in oxygen levels hours before routine practice, prompting earlier initiation of oxygen therapy to maintain healthy oxygen levels. A system was designed to predict deteriorations from wearable sensor data. Its performance was assessed in a clinical trial of 184 patients. Its predictions were of similar accuracy to those made in routine practice. relaxed stressed Detecting serious deteriorations Detecting minor deteriorations Source: Charlton, Peter H. (2016, July). The Processes and Benefits of Sharing Clinical Data. Zenodo. http://doi.org/10.5281/zenodo.166546 Source: Peter H Charlton. (2016). Wireless Wrist Pulse Oximeter Photo. Zenodo. http://doi.org/10.5281/zenodo.569814 Adapted from:: Charlton, P.H. et al., 2017. Extraction of respiratory signals from the electrocardiogram and photoplethysmogram: technical and physiological determinants. Physiological Measurement, 38(5), pp.669–90. DOI: 10.1088/1361-6


REDUCED BAYESIAN INVERSION Reducing Bayesian Inverse Problems with Balanced Truncation Christian Himpe (christian.himpe@uni-muenster.de) Mario Ohlberger (mario.ohlberger@uni-muenster.de) Synopsis Combined reduction enables the concurrent reduction of state and parameter space dimensions, which accelerates the integration. Here the reduction of state space is based upon experimental observations which are balanced against a models output. The parameter space is reduced based on the identiﬁability inside the model. In a Bayesian inversion setting with undetermined posterior parameter distributions, the estimation duration can be signiﬁcantly shortened. Balanced Truncation Control Systems As an underlying model to the (Bayesian) inversion, control systems are considered: ˙x = f (x, u, θ) y = g(x, u, θ). First, to introduce balanced truncation the focus is narrowed to linear control systems: ˙x = Ax + Bu y = Cx. The empirical gramians are based on the same approach, yet allow nonlinear and thus more general control systems. Controllability + Observability Controllability quantiﬁes how well a state can be driven by input or control. The controllability gramian WC characterizes the controllability of a linear system and is computed as the smallest semi-positive deﬁnite solution of the Lyapunov equation: AWC + WCAT = −BBT. Observability quantiﬁes how well a change in state is reﬂected by the outputs. The observability gramian WO characterizes the observability of a linear system and is computed as the smallest semi-positive deﬁnite solution of the Lyapunov equation: ATWO + WOA = −C TC. Balanced Truncation The Hankel operator maps past inputs to future outputs via the impulse response: H(t) = Z 0 −∞ CeA(t−τ)Bu(τ)dτ. The singular values of the Hankel operator σi indicate the importance of the associated state to the system dynamics. To determine the least controllable and least observable states, the controllability and observability gramians are balanced by a similarity transformation that balances the systems components (A, B, C). Truncating the balancing transformation U, V with VWCV T = UTWOU = σi, the reduced linear system is given by (VAU, VB, CU). Empirical Gramians Empirical Controllability Gramian The empirical controllability gramian ([1]) is computed by averaging the outer product of state time-series centered around the steady state ¯x: WC = 1 |Qu||Ru| |Qu| X h=1 |Ru| X i=1 m X j=1 1 c2 h Z ∞ 0 Ψhij(t)dt Ψhij(t) = (xhij(t) −¯x)(xhij(t) −¯x)∗∈Rn×n. xhij is a state time-series generated using the perturbed input uhij(t) = chSieju(t) + ¯u based on the perturbation sets: Eu = {ei ∈Rj; ∥ei∥= 1; eiej̸=i = 0; i = 1, . . . , m} Ru = {Si ∈Rj×j; S∗ i Si = 1; i = 1, . . . , s} Qu = {ci ∈R; ci > 0; i = 1, . . . , q}. For linear systems the empirical controllability gramian equals the classic controllability gramian, but since being based on snapshots extends also to nonlinear systems! Empirical Observability Gramian The empirical observability gramian ([1]) is computed by averaging the inner product of output time-series centered around the steady state output ¯y: WO = 1 |Qx||Rx| |Qx| X k=1 |Rx| X l=1 1 d2 k Tl Z ∞ 0 Ψkl(t)dt T ∗ l Ψkl ab = (ykla(t) −¯y)∗(yklb(t) −¯y) ∈R. ykla is an output time-series generated using the perturbed initial state xkla 0 = dkSlfa + ¯x based on the perturbation sets: Ex = {fi ∈Rn; ∥fi∥= 1; fifj̸=i = 0; i = 1, . . . , n} Rx = {Ti ∈Rn×n; T ∗ i Ti = 1; i = 1, . . . , t} Qx = {di ∈R; di > 0; i = 1, . . . , r}. For linear systems the empirical observability gramian equals the classic observability gramian, but since being based on snapshots extends also to nonlinear systems! Empirical Identiﬁability Gramian A system can be augmented by a constant state for each parameter with the parameter value as initial state: ˙xa = ˙x ˙θ  = f (x, u, θ) 0  xa(0) = x0 θ  . Then the empirical identiﬁability gramian ([2]) is given as the empirical observability gramian of this augmented system: WO,a = WO WM W ∗ M WP  .


R. Silvotti, INAF-Osservatorio Astrofisico di Torino Single vs binary hot subdwarfs: towards a 200-pc volume-limited complete sample Abstract From current statistics, based on mag-limited samples, 35% of sdO/B hot subdwarfs are in close binaries with M-dwarf/WD companions, ~30% are in wide binaries with F/G/K MS stars, 35% are apparently singles. However, without a companion it is hard to explain the huge mass loss near the RGB tip needed to form an sdB star. The presence of a substellar companion, difficult to detect, is a possibility. The goal of this project is to shed light on the formation mechanisms of single sdO/B stars by searching for binary signatures on a small but complete 200-pc volume-limited sample using different data/methods: TESS light curves, Gaia spectra, SEDs, and precise RVs from Harps/Harps-N spectra. Introduction, selection of the targets, data/methods The target list was extracted from the catalog of Culpan+2022 (A&A 662, A40), based on Gaia EDR3, which was complete up to about 250 pc as we can see from Fig.1. As a first step we considered the sample within 200 pc (20 stars) and later we added one missing star from the more recent 500-pc volume-limited sample by Dawson+2024 (A&A 686, A25). These 21 stars are listed in Table 1. We can see that 2 are in tight binaries with a WD, 1 is in a tight binary with an M-dwarf, and 3 have MS companions in larger orbits. Among the remaining 15 stars, 3 show tiny periodic variations in their TESS light curves, and one shows irregular photometric variations. The objective of this project is to verify how many of these stars are truly single, moving down as much as possible the detection limit of a faint, low-mass companion. The HARPS and HARPS-N instruments are ideal to obtain a homogeneous set of high- resolution spectra in both hemispheres, from which accurate radial velocities (RVs) can be derived. Using the cross correlation function (CCF) on 100-200 metal absorption lines (up to 500 in one case), we can reach typical errors of 100-200 m/s (Fig.2). Preliminary results and short discussion At least 6 out of 15 apparently single sdO/B stars within 200 pc do not show TESS photometric variations nor RV variations within measurement limits. Three stars show short-period variations in their TESS light curves, presumably due to a companion, which may or may not be confirmed by ongoing RV measurements (an example is given in Fig.3). One star shows irregular photometric variations in its TESS light curve and it should be observed soon with HARPS@3.6m. Two stars (PG0342+026 and PG0044+097) are known g-mode pulsators (Sahoo+2020, MNRAS 495, 2844; Silvotti+2020, MNRAS 489, 4791) and for this reason their RV data are not shown in Fig.2. These 2 articles report some limits on the presence of a companion, however the RV variations caused by g-mode pulsations make it more difficult to set reliable strong limits. Finally, 3 stars do not have yet RV measurements: one has only 1 spectrum but should be reobserved this summer with HARPS-N@TNG, another should be observed this autumn with HARPS@3.6m, the third does not yet have scheduled observations. A few stars show a weak flux excess near 400 nm in their Gaia BP/RP XP spectrum that might be due to a WD companion but further analyses (and additional RV data) are needed to confirm this finding. Fig.2. Radial velocities obtained from Harps-N spectra using the CCF method with 4 masks, corresponding to 4 different models: 25000 K He-poor, 35000 K He-poor, 38000 K He-rich, 50000 K, He-rich. The masks were built from 4 line lists kindly provided by Matti Dorsch. Fig.3. Upper panel: TESS Fourier spectrum of one of the targets showing periodic photometric variations (top) and phase diagram of the RV measurements folded onto the main photometric period at 0.315 d (bottom). These RV measurements are not yet sufficient to confirm the presence of a low-mass companion (they are compatible with constant RVs) and more data will be needed. Lower p


•s # 14 Group B SYNERGISTIC MONITORING OF MULTI-SENSOR AND MULTIPLE OCEAN PARAMETERS: SST, SALINITY, HEIGHT, WIND AND COLOR Prasanjit Dash1,2, Paul DiGiacomo1, Veronica Lance1,3, Heng Gu1,4 , Michael Soracco1,4 1NOAA STAR SOCD, College Park, MD, USA 2CIRA, Colorado State Univ ; 3CICS, Univ of MD ; 4RIVA Solutions, Inc. Fig. 1: A monitoring framework for satellite-based all ocean parameters for the CoastWatch/OceanWatch program of NOAA/STAR/SOCD. Monitoring is performed in Global and 19 additional Regions of Interest (RoI) for simultaneous analyses of SST, SSS, SSH, SSW and OC from different sensors. The objective is to comprehensively evaluate the products and steps beyond conventional validation approaches in an interactive web-interface useful for users, producers and scientists. Most of the diagnostics provided online can also be numerically (data in ASCII) accessed by the web-users. The users can interactively perform a variety of operations on time series plots and export the output to raster images. Wish to see a first-hand demo? Catch me during the breaks. 2. Diagnostics in OceanWatch Monitor 3. A future Ocean Viewer: The SOCD OceanView (OV) mock-up The 20th International GHRSST Science Team Meeting (GHRSST XX) – ESA ESRIN, Frascati, Italy – 3rd to 7th June 2019. Contact: prasanjit.dash@noaa.gov • This OceanWatch Monitor (OM) is a continuing effort to set a comprehensive monitoring tool for NOAA SOCD CoastWatch/OceanWatch products. The initial list of EDRs include: SST, Salinity, Surface height, Surface winds and Ocean Color. All diagnostics are made available online. • Currently, products are compared against Level-4 fields and model output. Routine validation against in situ data will be undertaken in the future. • A modern visualization tool is being conceptualized for a year 2021 release or earlier. 4. Summary and Outlook • P. Dash, S. Baker-Yeboah, V. P. Lance, S. Ramachandran, H Gu, P. DiGiacomo (2018), Towards an enterprise monitor for simultaneous monitoring of multiple ocean parameters: SST, SALINITY, HEIGHT, WIND AND COLOR, The 19th GHRSST Science Team Meeting, 4-8 June, 2018, EUMETSAT HQ, Darmstadt, Germany. • P. Dash, A. Ignatov, Y. Kihai, J. Sapper (2010), The SST Quality Monitor (SQUAM) , J. of Atm. & Oceanic Tech, 27(11), 1899-1917. https://www.star.nesdis.noaa.gov/sod/sst/squam/ References Collaborating partners and product team leads at NOAA NESDIS STAR SOCD Acknowledgments •The OceanWatch Monitor (OM) is designed for monitoring and validation of satellite-based CoastWatch/OceanWatch (CW/OW) ocean products and make the diagnostics available at: https://www.star.nesdis.noaa.gov/socd/om/. •Currently, the monitor is a standalone system but serves as a companion site to the NOAA CW/OW main web-page: https://coastwatch.noaa.gov/. In the future, efforts will be made to integrate the most relevant features of this monitor into the CoastWatch web-interface. •This monitor aims at providing an easy way to the CW/OW users to assess the state of the available products under one URL. The scope includes: • Assisting users/producers to remain aware of the state of the data they use/generate (data monitoring) • Providing a framework for synergistic ocean studies (scientific application), and • Bridging the gap between the satellite community and the modeling community (retrieval and model intercomparison). •The OM performs both Global and pre-defined Regional analyses. Currently, 20 oceanic regions of interest (ROI) are pre-selected (Fig. 1), and this can be expanded as required. •The current capability includes monitoring of five different environmental data records (EDRs): Ocean Color (OC) Chlorophyll-a, Sea Surface Height (SSH), Sea Surface Salinity (SSS), Sea Surface Temperature (SST) and Sea Surface Wind (SSW). The system is Scalable and Flexible for including other types of EDR and more product types for a given EDR. For example, considerations are being made at the NOAA STAR Satellite Oceanography and Climatolog