[PO4-131] Artificial Intelligence applications in Personalized Nutrition Vassilios Solachidis, Kosmas Dimitropoulos, Lazaros Gymnopoulos, Dimitris Konstantinidis, Thomas Theodoridis, Petros Daras Information Technologies Institute, Cente for research and technology Hellas, Thessaloniki, Greece INTRODUCTION: Recent advances in Artificial Intelligence (AI) resulted in a multitude of applications of this technology in a wide range of fields. At the same time, the extensive use of smartphones and smart devices, which are equipped with a large variety of sensors, allows for capturing and analysis of numerous personal health related data by the user himself. In this work, we will provide an overview of the algorithms and applications – related to personalized nutrition – that are developed by the authors, including methods performing food identification, eating analysis and meal planning and recommendations. METHODS: The proposed food identification method can be applied to identify a certain food and its ingredients using only a single photo (of the food) captured with a standard mobile phone camera. The method is based on a deep learning neural network that employs Variational Autoencoders and is trained with a large database of a million images. The eating analysis method can be applied to analyse a video captured by a mobile phone and identify when someone bites and hence calculate his eating rate. This method initially uses a deep learning network that extracts body and face features from each video frame and, then, a second one that uses the extracted features and identifies the frames in which bites occur. Finally, the meal planning method can be used to propose personalised meal plans, based on expert knowledge (ontology), the user’s health profile, physical activity, food intake as well as the user’s preferences. RESULTS: Eating analysis method has been tested with real users achieving results similar to the manual annotation while food identification method outperforms the state of the art. Meal planning and recommendation algorithm is currently being tested using promising results. CONCLUSION: In this work three types of applications of AI in personalised nutrition have been presented. The eating analysis method is significant, especially for people with eating disorders, since it can identify abnormal eating rates and notify the user/ her/his medical doctor. The food identification method can be used as a component in nutrition applications, enabling the user to log his food intake in an easy and fast way. Even though it does not reach very high accuracy (despite being at the state of the art), it can however be used in a semi-automatic setup. Finally, using the meal planning method a user can improve her/his dietary health and, thus, achieve optimal health. 1. Conflict of Interest: None 2. Funding: This work was supported by the European Project: PROTEIN Grant no. 817732 within the H2020 Research and Innovation Programme. Keywords: artificial intelligence, deep learning, personalized nutrition, meal planning and recommendations, Details Status : Accepted:Poster sessions Presentation Type : Oral Presentation Abstract Category/Topic : Management and Intervention » Behavioural and lifestyle interventions Language : English Saved: : 25.01.2020 07:43:55 Submit: : 26.01.2020 21:02:35 Con¦dential to Author and Editor Presenter : Vassilios Solachidis (vsol@iti.gr) Close Print


References [1] W. Karlen et al., “Multiparameter respiratory rate estimation from the photoplethysmogram”, IEEE Trans Biomed Eng., vol. 60, no. 7, pp. 1946–53, Jul. 2013. [2] C. Orphanidou et al., “Data fusion for estimating respiratory rate from a single- lead ECG”, Biomed Signal Process Control., vol. 8, pp. 98–105, Jan. 2013. The Influence of Recording Equipment on the Accuracy of Respiratory Rate Estimation from the Electrocardiogram or Pulse Oximeter P. Charlton12 and T. Bonnici12, D. Clifton3, J. Alastruey1, L. Tarassenko3, P.J. Watkinson4, R. Beale12 1King’s College London 2Guy’s and St Thomas’ NHS Foundation Trust 3University of Oxford 4Oxford Biomedical Research Centre Summary: ECG, PPG and reference RR signals were acquired from 58 healthy adults. ECG and PPG signals were acquired simultaneously using: (i) laboratory equipment with minimal filtering, (ii) a routine clinical monitor, and (iii) a routine wearable pulse oximeter. There were no significant differences in the accuracy of RR estimates derived from the routine and laboratory equipment when using any of the five estimation methods applied to the ECG, and only when using one of the five methods applied to the PPG. In conclusion, using unfiltered signals may not change the accuracy of RR estimates significantly. The null hypothesis, that filtering had no impact on accuracy of RR estimates was accepted, when using all but two of the estimation methods (Table 1). In one of these instances the filtered signals provided more accurate estimates (blue), and in the other the unfiltered signals gave higher accuracy (red). The accuracy of RRs estimated from PPG and ECG signals differed minimally between minimally filtered and routinely filtered signals in this healthy cohort. We found no evidence to suggest that more accurate RR estimates could be obtained from unfiltered signals in this cohort. Patient monitors filter electrocardiogram (ECG) and pulse oximeter (PPG) signals prior to output. Would respiratory rate (RR) estimates derived from these signals be more accurate if unfiltered signals were used? Fig. 2: Respiratory Modulations Fig. 1: Diminished modulation after filtering PPG and ECG signals were band-pass filtered (6 – 60 rpm). AM and FM signals were extracted as shown. BW was extracted by decimating the signals to 5 Hz using a low-pass filter below 50 rpm. Only high quality 30 s windows were used. Table 1: The median (quartiles) subject-specific RMSEs of RR estimates derived from ECG and PPG signals. RR was estimated in the time and frequency domains from the three respiratory modulations: AM, FM and BW (as shown in Fig. 2). Signal Acquisition: 42 young (18-40 years), and 16 elderly (≥ 70) healthy volunteers took part. Minimally filtered PPG and ECG signals were acquired using laboratory equipment. Filtered signals were acquired from a tethered monitor. Filtered PPG was also acquired from a wireless monitor. Reference RR was obtained from oronasal airflow and chest impedance signals. RR Estimation: Breaths were detected from the respiratory modulations (Fig. 2) in the time- domain using 3-point peak detection. In the frequency- domain, the RR was identified as the frequency with the maximum FFT power within 6-40 bpm. Statistical Analysis: The null hypothesis, that the difference between RMSEs obtained using laboratory and routine equipment is zero, was tested using the paired, two-sided Wilcoxon signed rank test at 5% significance level. Contact T. Bonnici and P.Charlton contributed equally to this work: Peter.Charlton [at] kcl.ac.uk Timothy.Bonnici [at] ndm.ox.ac.uk RR is a sensitive sign of clinical deterioration. Current practice in most UK general hospital wards is to measure RR by manually counting chest movements over approximately 30 s. However, this has been shown to be inaccurate. RR can now be estimated automatically from the PPG [1] using filtered signals from wireless sensors. RR can also be estimated from the ECG [2]. It may be possible to obtai


Samuel Grunblatt1, Nicholas Saunders2, Daniel Huber2,3, Daniel Thorngren1, Shreyas Vissapragada4 1. Department of Physics and Astronomy, Johns Hopkins University, 2. Institute for Astronomy, University of Hawaii, 3. Sydney Institute for Astronomy, University of Sydney, 4. Center for Astrophysics | Harvard & Smithsonian An unlikely survivor: A low-density, hot Neptune orbiting a red giant star A targeted visual search for giant planets transiting giant stars with the giants pipeline (Saunders+ 2022) revealed a shallow (~400 ppm), long-duration (~9 hr) transit signal at a 4.2 day period. This signal was not found by other pipelines until 120-second cadence TESS data was available and a SPOC light curve was produced. An atmosphere saved by re-inflation? Key Points A needle in the haystack The first hot Neptune with an evolved host ❖The shallow, long-duration transit signal of this planet could initially be found only with the giants FFI pipeline, but has now been confirmed with a high-cadence, SPOC light curve detection and ground-based RV followup. ❖With a mass of 19.2 +/- 4.2 Earth masses and 6.2 +/- 0.8 Earth radii, this is the first hot Neptune found around an evolved star. ❖ The planet is predicted to have lost ~65% of its mass to atmospheric mass loss, which should have stripped its atmosphere entirely, unless the star was unusually inactive, or the planet experienced late-stage migration and/or re-inflation. Using exoplanet (Foreman-Mackey+ 2018), we modeled the available data for this system to determine the planet mass and radius. References 1. Saunders, N., Grunblatt, S., Huber, D., Collins, K., Jensen, E., et al. “TESS Giants Transiting Giants. I. A Noninflated Hot Jupiter Orbiting a Massive Subgiant,” AJ, 163, 53, 2022. 2. Foreman-Mackey, D., Luger, R., Agol, E., Barclay, T., Bouma, L, et al. “exoplanet: Gradient-based probabilistic inference for exoplanet data and other astronomical time series,” JOSS, 2021. 3. Watson, A.J., Donahue, T.M., Walker, J.C.G. "The dynamics of a rapidly escaping atmosphere: Applications to the evolution of Earth and Venus,” Icarus, 48, 150, 1981. Integrating the XUV flux expected for this and all other well- characterized planets with ages, we determine the cumulative expected atmospheric mass loss as a fraction of total planet mass. This planet is expected to have lost 65% of its mass, more than any other gaseous planet, despite models suggesting the atmosphere is only 20-30% of the planet mass (Lopez & Fortney 2014, Chen & Rogers 2016). How did this planet retain its atmosphere? Subsequent Keck/HIRES RV followup detected a signal at the same period and phase as giants and SPOC. Taking stellar parameters into account, we found that this is the first well-characterized hot Neptune known orbiting an evolved star. Rp = 6.21 +/- 0.76 REarth Mp = 19.2 +/- 4.2 MEarth Atmospheric mass loss depends on the planet density (Watson+ 1981): Thus, if the planet’s density was higher in the past, it can retain significantly more atmosphere. A 16% reduction in early planet radius results in a 50% reduction in atmospheric mass loss, allowing this planet to survive. 0 2 4 6 Age (Gyr.) 4 5 6 7 8 Radius (R©) Re-inﬂation Mass Loss 16% difference in radius at 1 Gyr = 50% difference in mass loss rate! Link to arXiv: https://arxiv.org/abs/2303.06728 (or use QR code above!)


Introduction Hepatitis B Virus (HBV) interaction with the immune system is a key determinant of infection outcome1. However, efforts to identify relevant circulating biomarkers of liver immune status have been disappointing. As the HBV field advances towards novel therapies (including immunoregulatory drugs)2, enhanced risk stratification, and cancer prevention, there is a pressing need to better understand the immunological profiles that underlie diverse disease outcomes3.We set out to compare circulating levels of ten cytokines, alongside host and viral biomarkers, in people living or not with HBV, based in the United Kingdom (UK), in order to develop new approaches to surveillance and risk stratification. Contrasting immune fingerprints of adults living with chronic Hepatitis B Virus infection, compared to non-infected individuals, from the UK Marion Delphin1, Gavin Kelly1, Elizabeth Waddilove1, Joshua Gahir1, Louise O Downs2,3, Sheila Lumley2,3, Catherine De Lara2, Sue Wareing3, Polyxeni Fengou3, Jacqueline Martin4, Tongai Maponga5, Monique Andersson2,3, Emma Wall1, Paul Klenerman2, Eleanor Barnes2,4, Azim Ansari2 and Philippa C Matthews1,6,7 Conclusions Adults living with HBV in the UK have a distinct immune profile that distinguishes them from matched adult controls. GM-CSF, IFNα2a, IL-2 and IL-10, PD-1 and TNFα seems to be the main modulated cytokines, with no covariance with known host parameters. In the CHB cohort, lower IL-2 and IL-10 was associated with a decreased HBV DNA, mostly attributed to treatment status. Further studies wiht increased numbers of individuals are needed to unravel these immune phenotypes. Developing insights into immune biomarkers may help us to develop enhanced understanding of the mechanisms that determine infection outcomes and treatment response, support better patient-stratification and guide evidence-based interventions. 1 The Francis Crick Institute, 1 Midland Way, London, UK 2 Nuffield Department of Medicine, Medawar Building for Pathogen Research, University of Oxford, Oxford, UK 3 Department of Infectious Diseases and Microbiology, John Radcliffe Hospital, Headley Way, Oxford, UK 4 Department of Hepatology, John Radcliffe Hospital, Headley Way, Oxford, UK 5 Division of Medical Virology, Stellenbosch University / Tygerberg Academic Hospital, Cape Town, SA 6 Division of Infection and Immunity, University College London, London, London, UK 7 Department of Infectious Diseases, University College London Hospital, London, London, UK Contact Informations: Marion Delphin: marion.delphin@crick.ac.uk @MarionDelphin Philippa Matthews: philippa.matthews@crick.ac.uk @pippa_matt Methods Cohort description: Adult living with HBV were enrolled at Oxford University Hospitals, UK (n=60), and age/sex matched non-infected adults were enrolled in the Legacy Study, London, UK (n=60) Patient meta-data were recorded at the time of recruit- ment, supported by Electronic Patient Records where available. Serum Sample Analysis: Liver Biomarkers: ALT/Fibroscan score HBV Biomarkers: HBsAg, HBeAg, HBV DNA Cytokines: GM-CSF, IFNα2a, IL-2, IL-6, IL-8, IL-10, IL-21, IP-10, PD-1 and TNF-α (multiplex ELISA, MSD) Statistical Analysis Using a euclidean distance, samples were hierarchically clustered based purely on stand- ardised log-transformed cytokine measure- ments using Ward's method for linkage. P values were calculated using Mann Witney or Chi-Squared test in Prism v. 8.0. **P ≤ 0.01; ***P ≤ 0.001; P ≤ 0.0001. References 1 M.Maini et al, Nat Rev Gastroenterol Hepatol; 2019 2 J.Feld et al, Clin Gastroenterol Hepatol, 2023. 3 A.Gehring et al, J.Hepatol, 2022. Results 3 Figure 2: Log-standardised heatmap representation of NI and CHB individuals Age 70 60 50 40 30 Sex Female Male HBV status CHB NI Color code Results 2: Result 1 We compared the immune profile of two cohorts of CHB and NI individuals that are age and sex-macthed, using quantification of a panel of 10 cytokines. The CHB cohort is dominated by an increase


Let's Turn the Lights Off to Turn the Stars On G. A. Pinto1, students from classes 7.ºD, 8.ºD and 9.ºD (school year 2017/2020) 1 1Escola Secundária/3 Camilo Castelo Branco, Agrupamento de Escolas Camilo Castelo Banco, Vila Real, Portugal Abstract In this project, the causes and consequences of light pollution were discussed. The students concluded that light pollution is not only responsible for the “disappearance” of the starry sky in cities, but also a threat to living beings and a huge waste of energy. They also concluded that the measures to avoid light pollution are within the reach of citizens and municipalities and are based on the use of energy-efficient exterior lighting that directs light only downwards. Students shared their findings with the community and, at the same time, developed an interest in Astronomy, together with their families. Keywords Astronomy; ecological footprint; energy efficiency; light pollution; starry sky.


The Agricore project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No. 816078 FOLLOW US! #Agricore www.agricore-project.eu info@agricore-project.eu Agent-based support tool for the development of agriculture policies The AGRICORE project is developing a novel tool for improving the current capacity to model policies dealing with agriculture by taking advantage of the latest progress in modelling approaches and ICT. Specifically, the AGRICORE tool is being built as an agent-based approach where each farm is to be modelled as an autonomous decision- making entity that individually assesses its own context and makes decisions on the basis of its current situation and expectations. This modelling approach will allow simulating the interaction between farms and their context at various geographic scales – from regional to global. The AGRICORE suite will be a highly modular IT architecture in which modules can be exchanged, improved, and updated by other researchers and reused in other solutions. The architecture will be defined in a way to allow making use of the high computing and flexibility capabilities of cloud infrastructures both at public (Amazon Web Services, Azure, Google Cloud) and private (VMWare, OpenStack, HyperV) levels and always with a strong focus on data security (allowing the definition of private and public sections). 1. ARDIT 2. Data extraction module 3. Data fusion module 4. Generator of synthetic populations module 5. Agent-based simulation module 6. External interface module 7. Model interaction modules 8. Impact assessment modules (IAM) 9. Policy environment module 10. AGRICORE interface module USE CASE #1 will focus on the ex-ante (2018-2020) and ex-post (2014-2017) analysis of the impacts of a regional measurement (M11) (new and maintained ecological exploitations) in the field of olive exploitations in Andalusia, being this region the world leader on olive oil production. USE CASE #2 will focus on the ex-ante (2019-2020) and ex-post (2014-2018) analysis of the impacts of a national level measurement (M10.1) (agri-environment-climate commitments) in the overall Polish agricultural system and specifically, on ecosystem services in the country. USE CASE #3 will focus on the ex-ante (2018-2020) and ex-post (2014-2017) analysis of the impacts of a national level measurement (M6.1) (Business start-up aid for young farmers) in the overall Greek agricultural system. POLAND ANDALUCIA GREECE Carlos Leyva Guerrero1, Konstadinos Mattas2, Myrto Pelopida3, Ioanna Deligkiozi3, Mario Veneziani4, Giorgia Eranio5, Piotr Baranowsk6, Alicia Arce7, César Díaz Barroso8, Ahmet Ali KOÇ9, Waldemar Bojar10, Nikolaos Tsiantis11 1 IDENER, ES, 2 AUTH, GR, 3 AXIA, DE, 4 UNIPR, IT, 5 STAM, IT, 6 IAPAS, PL, 7 AYESA, ES, 8 CAAND, ES, 9 AKD, TR, 10 UTP, PL, 11 EXE, GR AUTHORS


Tailoring PLA surface with anchor lipids to fabricate transmembrane protein-loaded nanometric bioresorbable platform. 1 IMEM-BRT Group, Departament d’Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, C/ Eduard Maristany 10-14, Ed. I2, 08019 Barcelona, Spain 2 Barcelona Research Centre for Multiscale Science and Engineering, EEBE, Universitat Politècnica de Catalunya, C/ Eduard Maristany 10-14, Ed. I-S-1, 08019 Barcelona, Spain 3 Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, Zwirki i Wigury 101, Warsaw 02-089, Poland ahammed.hussain.madhani@upc.edu @m_s_a_h_m_8_6 1. Introduction In biomedicine, bioresorbable sensors hold great promise due to their ability to breakdown and resorb after use. As a result, patients wouldn't have to undergo a second, potentially risky surgical procedure to have non-bioresorbable sensors removed. However, developing reliable, biodegradable sensors remains difficult. In order to create such platform for biosensing that can support artificial lipid bilayers and transmembrane proteins such ion channels as biomimetic models, this research was initiated with the overarching goal of mimicking the cellular environment. The well-studied channel-producing peptide gramicidin (gA)(1) served as a template for this work. Acknowledgements This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No.955643 3. Conclusions Self-assembly, alkaline hydrolysis, and surface activation were the three stages of development that yielded a functional bioresorbable platform. The lipid layers were anchored to the polymeric scaffold with poly(ethylene glycol)-cholesterol (Chol-PEG- NH2). Furthermore, electrochemical impedance spectroscopy (EIS) was employed to detect the transport of monovalent cations on the polymeric substrate using Gramicidin A (gA). These lipid- and transmembrane-protein-based biomimetic systems hold great promise for future biofiltration and biosensing technologies.(2) This research provides a novel bioinspired method for fabricating a completely bioresorbable and biocompatible platform. 1) Zhangfei Su et al. Electrochim Acta, 2017 343 ,364 372 2) Mohammed-Sadhakathullah et al. Int. J. Mol. Sci. 2023, 24, 10312. 3500 1500 -0.05 0.00 0.05 0.10 0.15 0.20 DAbsorbance (a.u) Wavenumber (cm-1) PLA-PEG-Chol PLA-EDC PLA-NaOD C=O Amide C-H -0.2 -0.1 0.0 0.1 0.2 0.3 0.4 -1.0 -0.5 0.0 0.5 1.0 1.5 2.0 PLA PLA-PEG-Chol PLA-PEG-Chol-DMPC PLA-PEG-Chol-DMPC-gA s / mC cm-2 E / V vs Ag|AgCl -1.0 -0.8 -0.6 -0.4 -0.2 0.0 0.2 0 5 10 15 20 25 30 35 40 PLA PLA-PEG-Chol PLA-PEG-Chol-DMPC PLA-PEG-Chol-DMPC-gA C / mF cm-2 E / V vs Ag|AgCl 1M 0 50k 100k 150k 200k 250k 300k 350k 0.0 500.0k 1.0M 1.5M 2.0M 2.5M 3.0M PLA PLA-PEG-Chol PLA-PEG-Chol-DMPC PLA-PEG-Chol-DMPC-gA Z'(Ohm) -Z''(Ohm) -1 0 1 2 3 4 5 2 4 6 Log Z/ Ohm -F/ deg Log F/Hz 0 20 40 60 80 100 PLA PLA-PEG-Chol PLA-PEG-Chol-DMPC PLA-PEG-Chol-DMPC-gA R1 R2 CPE1 CPE2 PLA-PEG-Chol-DMPC-gA R1 R2 CPE1 PLA-PEG-Chol-DMPC 0 50k 100k 150k 200k 0.0 300.0k 600.0k 900.0k PLA-PEG-Chol-DMPC-gA with Ca2+ Z'(Ohm) -Z''(Ohm) -1 0 1 2 3 4 5 2 3 4 5 6 7 0 20 40 60 80 100 PLA-PEG-Chol-DMPC-gA with Ca2+ Log Z/ Ohm Log F/Hz -F/ deg Cholesterol-PEG-Amine Anchor Lipid Au Self assembled monolayers (SAM) Poly (Lactic acid) (PLA) Surface modification Gramicidin 2. Results 3500 1500 0.00 0.05 C-H C=O DAbsorbance (a.u) Wavenumber (cm-1) PLA-PEG-Chol-1H PLA-PEG-Chol-2H PLA-PEG-Chol-4H Fig 1. Change in the frequency w.r.t time Different lines correspond to 3,5,7,9,11 harmonics. Quartz Crystal Microbalance (QCM-D) ❑The quartz crystal microbalance (QCM-D) can spot changes in mass per unit area as little as a nanogram. Accordingly, as mass is added to the surface, the frequency decreases. Electrochemistry A B C D E F G Fig 4. Electrochemical characterization of PLA after every step (A-D) (A). Potential of Zero charge. (PZC) (B). AC Voltammetry (ACV) and (C,D).


  Typischer collared rim storage jar der Eisenzeit I (Tall Zir¯a a). Westjordanlandes (Israel), wo dieser Bautyp zun¨achst entdeckt wurde, gegen¨uber dem Ostjordangebiet (Jordanien). Zu : Die collared rim storage jars (Abb. ) sind eine Form der Gebrauchskeramik, die f¨ur den pal¨astinischen Kulturraum typisch war. An der Wende zur Eisenzeit traten sie geh¨auauch im Ostjordanland auf. Sie wurden dort ebenso hergestellt und genutzt wie im zentralen Bergland westlich des Jordan. Ohnehin sind sie nicht als Neusch¨opfung durch neu eingewanderte Siedler im pal¨astinischen Bergland (die die Israeliten und Jud¨aer auch nicht waren) anzusehen, sondern stehen deutlich in einer sp¨atbronzezeit- lichen Tradition.13 Zu : Kreisf¨ormig bzw. elliptisch angelegte Berglandsiedlungen (enclosed settlements) hatte Israel Finkelstein14 als Indikator israelitischer und jud¨aischer Siedler vorgeschla- gen (Abb. ). Viele Forscher folgten ihm, zumal er zeigen konnte, dass w¨ahrend der Eisenzeit I viele nachmalig israelitische Gebiete mit derartigen d¨orﬂichen Siedlungen ausgestattet waren. Doch selbst Finkelstein musste schließlich feststellen, dass auch 13 Fritz , . 14 Finkelstein , –.    Die Amazonen fallen ins attische Land ein. Attisch rotﬁguriger Krater um v. Chr. Nach Steinhart , . konnte so f¨ur bestimmte Teile der attischen Landbev¨olkerung Ankn¨upfungspunkte bieten, ohne dass diese sich direkt mit den Amazonen h¨atten identiﬁzieren m¨ussen. Nach den Perserkriegen hatte sich aber die Einstellung gegen¨uber den barbari- schen Fremden grunds¨atzlich ge¨andert. Ein erster propagandistischer H¨ohepunkt die- ser Griechen-Barbaren-Dualit¨at war um v. Chr. erreicht.51 Hier treten nun neue Amazonenbilder auf, die sie als gef¨ahrliche Gegner der Griechen verbildlichen, die aggressiv ins Bild st¨urmen, so dass die Athener nur defensiv ihr Land, auf das sie den Fuß verteidigend stellen, sch¨utzen k¨onnen (Abb. ).52 Nun war die Figur der Antiope problematisch geworden. Noch einmal kommt sie auf einem Krater in Basel auf Seiten der Athener k¨ampfend zur Darstellung, allerdings bereits in untergeordneter Position unter den Henkeln (Abb. ).53 Die j¨ungste Darstellung der Antiope stammt aus der 51 Hall , –, –und passim. 52 Attisch rotﬁguriger Kolonettenkrater des Ariana- Malers in M¨unchen, Antikensammlungen um v. Chr.: Beazley , Nr. ; Beazley , ; Bothmer , Nr. Taf. .; Steinhart , , , Kat. Abb. .; .; Koch, Börner und Busse , ; Beazley Archive Nr. . 53 Attisch rotﬁguriger Volutenkrater in Basel, Antiken- museum und Sammlung Ludwig BS um  v. Chr.: Beazley , Nr. ; Carpenter , ; Steinhart , Abb. .–; Beazley Archive Nr. .  Die von uns bereitgestellten Digitalisate und Publikationen können nach dem Prinzip des Open Access schnell, kosten los und barrierefrei genutzt werden. Durch konsequentes digitales Publizieren von Forschungsergebnissen und die Bereit stellung digitalisierter Ressourcen tragen wir maßgeblich dazu bei, Einschränkungen abzubauen und den wissenschaftlichen Impact unserer Autorinnen und Autoren zu erhöhen. Durch die freie Verfügbarkeit unserer Publikationen kommen wir zudem der Verpflichtung nach, die mit öffentlichen Geldern erzielten Forschungsresultate rasch und in uneingeschränktem Zugriff zu veröf fentlichen. Gleichzeitig wahren wir mit einem Open-Content-Lizenzmodell die Interessen der Autorinnen und Autoren, die zu übertra genden Nutzungsrechte selbst zu definieren und ihre Forschungsinhalte weit zu verbreiten. BERLIN STUDIES OF THE ANCIENT WORLD EDITION TOPOI Genealogie und Migrations mythen im antiken Mittelmeer- raum und auf der Arabischen Halbinsel Almut-Barbara Renger Isabel Toral-Niehoff (eds.) ...ist Publikationsorgan und innovative Forschungs plattform des Exzellenzclusters 264 Topoi –The Forma


Ambulatory patients are monitored intermittently Clinical deteriorations of hospital patients must be recognised early to maintain patient safety and minimise treatment costs. Routine practice on UK wards is to measure physiological parameters intermittently every 4- 6 hours to aid recognition of deteriorations. Thus there may be a prolonged period of deterioration prior to recognition. Deteriorations may be detected earlier by continuous monitoring Wireless sensors, combined with risk prediction algorithms, may enable earlier detection of deteriorations by continuously monitoring physiology. However, such systems depend on reliable data acquisition. We assessed the proportion of patient stay for which continuous ECG and pulse oximetry data could be captured using wireless sensors. References [1] Bonnici T et al. Testing of wearable monitors in a real-world hospital environment: what lessons can be learnt? In Ninth international conference on wearable and implantable body sensor networks, 2012. Washington DC: IEEE, 2012; 79–84. Acknowledgements This research was supported by the EPSRC [Grant EP/H019944/1], the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre at Guy’s & St Thomas’ NHS Foundation Trust, and the NIHR Oxford Biomedical Research Centre Programme. The views expressed are those of the authors and not necessarily those of the EPSRC, the NHS, the NIHR or the Department of Health. Contact T. Bonnici and P.Charlton contributed equally to this work: Timothy.Bonnici [at] ndm.ox.ac.uk Peter.Charlton [at] gstt.nhs.uk Continuous Physiological Monitoring of Ambulatory Patients T. Bonnici12 and P. Charlton12, J. Alastruey1, L. Tarassenko3, P.J. Watkinson4, R. Beale12 1King’s College London 2Guy’s and St Thomas’ NHS Foundation Trust 3University of Oxford 4Oxford Biomedical Research Centre For what proportion of patient stay can continuous ECG and pulse oximetry data be captured using wireless sensors? 222 patients were monitored wirelessly during their recovery from cardiac surgery on a general ward. ECG data were acquired for the majority of patient stay, whereas pulse oximetry data were acquired for less than a fifth of the time. Furthermore, over a third of patients requested to stop wearing sensors. Therefore, there is room for improvement to the design of wireless sensors, particularly the pulse oximetry component. Method A post-surgical cardiac ward was equipped with wireless sensors which transmitted data to a central monitor in real time. 222 patients consented to wear a sensor whilst recovering from cardiac surgery. Results 196 patients wore a sensor (22 did not stay on the ward, 3 requested not to wear a sensor, and 1 was not given a sensor for clinical reasons). 122 wore a sensor until discharge, 66 requested to stop wearing the sensor early, 6 had the sensor removed for clinical reasons, and 2 were transferred elsewhere. The median length of ward stay was 4.5 days. The 196 patients wore sensors for 898 out of 1344 days. ECG and pulse oximetry data were acquired from each patient for 62% (52) and 18% (41) of their stay respectively. Conclusions ECG data were acquired for the majority of patient stay, whereas pulse oximetry data were acquired for less than a fifth of the time. Furthermore, over a third of patients requested to stop wearing sensors. Therefore, there is room for improvement to the design of wireless sensors, particularly the pulse oximetry component. Using wireless sensors for earlier detection of physiological derangements than routine observations. Patients’ tolerance of wireless sensors is unknown In a previous assessment of patients’ tolerance of wireless sensors, none acquired data consistently for 24 hours [1]. Therefore, wireless sensors which are routinely used in the NHS were chosen for this study. Whilst more cumbersome than state-of-the-art sensors, they may be more reliable. Future Work This trial aims to determine the proportion of physiological derangem


ABSTRACT Proteogenomic searches allow the identification of protein variants by extending canonical protein sequence databases with the predicted product of genomic variation. In this study, we investigate how including germline sequence variants influences the scoring and yield of proteogenomic searches. Then, we show how the peptides distribute relatively to their predicted retention time and fragmentation. By combining these features, we anticipate proteogenomic pipelines to enable the calling of genetic variants in proteomics data, which in turn will be helpful for the analysis of their consequences and pathogenicity. How including germline sequence variation influences the search space in proteomics Dafni Skiadopoulou1, Jakub Vašíček1, Ksenia Kuznetsova2, Pål R. Njølstad1,3, Stefan Johansson1,4, Lukas Käll5, Marc Vaudel1 ACKNOWLEDGEMENTS This project is supported by the Research Council of Norway (project #301178). 1Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway 2Research and Clinical Center of Physical-Chemical Medicine, Moscow, Russia 3Children and Youth Clinic, Haukeland University Hospital, NO-5020 Bergen, Norway 4Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway 5Science of Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, Royal Institute of Technology – KTH, Stockholm, Sweden Fig. 1: Proposed proteogenomics pipeline. Fig. 2: Posterior error probability density (left) and number of peptide-spectrum matches at a given q-value (right) for searches using the UniProt database and the extended protein sequence database. REFERENCES [1]Umer, H.M., Zhu, Y., Pfeuffer, J., Sachsenberg, T., Lehtiö, J., Branca, R. and Perez-Riverol, Y., 2021. Generation of ENSEMBL-based proteogenomics databases boosts the identification of non-canonical peptides. bioRxiv. [2]Bouwmeester, R.; Gabriels, R.; Hulstaert, N.; Martens, L.; Degroeve, S. DeepLC Can Predict Retention Times for Peptides That Carry As-yet Unseen Modifications. Nat. Methods 2021, 18, 1363–1369. [3]Sven Degroeve, Lennart Martens, MS2PIP: a tool for MS/MS peak intensity prediction, Bioinformatics, Volume 29, Issue 24, 15 December 2013 [4]Käll, L., Canterbury, J. D., Weston, J., Noble, W. S. & Mac Coss, M. J. Semisupervised learning for peptide identification from shotgun proteomics datasets. Nature Methods 4, 923–925 (2007). [5] Wang, D. et al. A deep proteome and transcriptome abundance atlas of 29 healthy human tissues. Mol. Syst. Biol. 15, e8503 (2019). RESULTS ❖Including variants in the protein database increases sequence redundancy and reduces the yield of peptide identification (Fig. 2). ❖The retention time and fragmentation features show outlying peptides that are assigned a high confidence score by Percolator but show a large difference between the measured and the predicted values (Fig. 3 and 4). ❖Decoys distribute differently from targets in the space defined by agreement with retention time and fragmentation with prediction (Fig. 5). Variant peptides confidently identified by Percolator show a high prevalence of outliers in both retention time and fragmentation (Fig. 5). Fig. 4: Predicted vs. observed retention time of the peptide-spectrum matches obtained by searching in the UniProt database (left) and the extended protein sequence database (right). Fig. 3: Density of the retention time (left) and fragmentation (right) for all peptide-spectrum matches using the UniProt database and the extended protein sequence database. METHODS Protein sequence database created with py-pgatk[1]: ●canonical proteome ●variants with minor allele frequency > 1% (Ensembl, no population filter) ●variants acquired from exome sequencing of the studied tissue samples ●common sample contaminants Peptide features agreement with predictors: ●Retention time using DeepLC[2]: distance evaluated using a linear model ●Fragmentation using MS2PIP[3]: spectral log-distance Identificat


VisualizingHealthcareSystemDynamics(HSD)inBiomedicalBigData Acknowledgements Biomedical Big Data, such as electronic health records (EHR) and administrative claims, are records of patients’ interactions with the healthcare system; for example, the date of a diagnosis is when a physician entered the code into the EHR, not when the patient developed the disease. Most researchers are either unaware of the distinction or naively treat it as noise. However, using data visualizations, we show that these subtle effects of the healthcare system on observational clinical data actually contain valuable information that could benefit biomedical research, clinical care, and health care policy. NickBenik1;KatyBorner,PhD2;NickBrown1;DanielHalsey2;IsaacKohane,MD,PhD1;GriffinWeber,MD,PhD1 1HarvardMedicalSchool;2IndianaUniversityhttp://HealthcareSystemDynamics.org AddingHSDtothei2b2Platform Abstract This work was conducted with support from National Institutes of Health, National Cancer Institute, RFAͲHGͲ14Ͳ020, Targeted Software Development: Data Visualization, Grant Number 1 U01 CA198934Ͳ01. PrototypeVisualizations 3DWLHQW3DWKRSK\VLRORJ\ +HDOWKFDUH6\VWHP'\QDPLFV 1RUPDO $EQRUPDO 1RUPDO +LJKHVW6XUYLYDO 0RGHUDWH6XUYLYDO $EQRUPDO 0RGHUDWH6XUYLYDO /RZHVW6XUYLYDO 3DWLHQW3DWKRSK\VLRORJ\ +HDOWKFDUH6\VWHP'\QDPLFV 'DWD4XDOLW\ 3DWLHQW'HPRJUDSKLFV 'LDJQRVHV /DERUDWRU\7HVW5HVXOWV 9LWDO6LJQV *HQHWLF0DUNHUV 1XPEHURI2EVHUYDWLRQV 7LPHRI'D\RI2EVHUYDWLRQV 7LPH%HWZHHQ2EVHUYDWLRQV &RVWRID7HVWRU7UHDWPHQW &OLQLFDO6HWWLQJ&OLQLFLDQ7\SH 'DWD(QWU\(UURUV 'LFWDWLRQ0LVWDNHV 'DWD&RPSUHVVLRQ/RVV 8QVWUXFWXUHG'DWD 0LVVLQJ'DWD Hypothesis Every observation in EHR data combines both patient pathophysiology and healthcare system dynamics (HSD). Each predict patient outcomes. PredictingSurvivalUsingHSD The table indicates the fraction of patients alive 3 years after a white blood cell (WBC) test. Columns correspond to patient pathophysiology categories and rows correspond to HSD categories. An abnormally high WBC in the evening has a higher survival (85.74%) than a normal WBC in the morning (82.91%)! Lowest survival combines both abnormal patient pathophysiology and abnormal HSD. FactCountGrowthCurves Fact count is the total number of diagnoses, medications, procedures, etc. in a patient’s record. Fact count rate grows over time, but at different rates for different patients (blue curves). Patients with a normal fact count (50th percentile) have the highest 3 year survival. For example, a 70 yearͲold man with a median fact count has the same survival rate (90%) as a 45 yearͲold man in the 95th fact count percentile and a 58 yearͲold man in the 5th fact count percentile. 0DOH )HPDOH DerivingNormalLabValueRangesUsingHSD Clinicians repeat laboratory tests more frequently (an HSD variable) if the values are abnormal. As the values become more extreme, the variance in repeat interval across patients decreases. Thus, more clinically useful normal ranges for lab tests can be defined based physician ordering behavior. Subgroups of patients can also be identified from the HSD data (right, pediatric age groups). HSD concepts (e.g., fact count, day of the week, etc.) are added to the i2b2 ontology and can be used in queries in combination with patient pathophysiology concepts (e.g., diagnoses, lab values, etc.). Download from http://HealthcareSystemDynamics.org PatientSurvivalbyWhiteBloodCell(WBC)CountandTimeofDay AgeandFactCountDistributionsofMultiplePatientCohorts This project integrates two widely adopted open source software platforms for querying clinical data repositories (Informatics for Integrating Biology and the Bedside, i2b2, https://www.i2b2.org) and developing modular data analysis and visualization tools (Science of Science, Sci2, https://sci2.cns.iu.edu). Below are screenshots of HSD visualizations built using these two systems. For more information visit htt


ACE-DATA: Delivering Added value To Antarctica Jenny Thomas1 (jenny.thomas@epfl.ch) and Julia Schmale2 1Swiss Polar Institute, Lausanne, Switzerland, 2Paul Scherrer Institute, Villigen, Switzerland. Polar2018, June 2018 ACKNOWLEDGEMENTS The Antarctic Circumnavigation Expedition was funded and made possible by the ACE Foundation and Ferring Pharmaceuticals. ACE-DATA is funded by the Swiss Data Science Center and the Swiss Polar Institute. REFERENCES Antarctic Master Directory, https://gcmd.gsfc.nasa.gov/KeywordSearch/amd/about_us.html Jupyter, http://jupyter.org/ Renku, Swiss Data Science Center https://datascience.ch/renku-platform/ air mass movement sea-spray primary aerosol trace gases ●DMS ●isoprene ●amines ●halogens secondary aerosol particles aerosol-cloud interactions precipitation evaporation Antarctica Southern Ocean catabatic winds microbial communites J.Schmale Open-access ACE data Swiss Polar Institute data portal Antarctic Master Directory (AMD) Digital Object Identifiers (DOIs) Subject-specific repositories RENKU RENKU Data in Data in Algorithms applied to data are recorded Data out Data out ACE data RENKU, developed by the Swiss Data Swiss Data Science Center (SDSC) Science Center (SDSC) allows users to: • View algorithms applied to data • Re-use and modify of code • Collaborate with Jupyter notebooks COLLABORATIVE DATA-SHARING PLATFORM What? What? Open-access ACE data available through a data-sharing platform. Why? Why? • Antarctic Treaty requires that all data collected south of 60°S is openly available. • Easier inter-project collaboration with data in a common format in one place. • Data are available to the international community to allow benchmarking of global change. INTRODUCTION INTRODUCTION Over 30 TB of data and almost 27,000 samples from a wide variety of scientific disciplines, collected simultaneously as part of the Antarctic Circumnavigation Expedition (ACE), offer us the unique opportunity of a holistic view of the Southern Ocean in the austral summer of 2016/17. The ACE- DATA: Delivering Added value To Antarctica project will provide a collaborative data-sharing platform and explore cross-disciplinary questions using data science techniques. ACE data summary ACE data summary - 90 days of measurements (20th Dec 2016 – 19th March 2017) - > 300 variables measured (ocean, atmosphere, land, ice, biodiversity) - continuous (down to 1 sec resolution), semi-continuous (~once a day) and discrete (event- based) measurements - in-situ, remote sensing and simulation data What? What? Antarctic Sea-Atmosphere Interactions Data (ASAID) project A subset of data from ACE will be used to explore air-sea interactions in the Southern Ocean using machine learning techniques. Why? Why? • Current models struggle to simulate Southern Ocean processes. • Interactions are still very unknown, yet influence clouds, radiation and climate worldwide. Approach Approach Data science methods are used to identify relationships between various sets of a small number of variables, followed by a statistical model that will be based on these relationships. Resulting information will be fed into coupled ocean-atmosphere models CROSS-DISCIPLINARY DATA EXPLORATION


The HST-JWST Transmission Spectrum of Ultra-hot Jupiter WASP-178b How: After reduction of the spectra with FIREFLy4 (see Figure 1), we then use the PETRA5 retrieval framework to measure the abundance of refractory and volatile elements (see Figure 2). We fit for the temperature structure, reference radius, offsets between instruments, and an opaque cloud layer alongside [(Fe+Mg+Si)/H], [O/H], and [C/H] in chemical equilibrium. [1] Hellier, C., et al. (2019), MNRAS, 480, 1. [2] Rodríguez Martínez, R., et al. (2020), AJ, 160, 3. [3] Lothringer, J. D., et al. (2022), Nature, 604, 7904. [4] Rustamkulov, Z., et al. (2023), Nature, 614, 7949. [5] Lothringer, J. D., et al. (2020a). AJ, 159, 6. [6] Lothringer, J. D., et al. (2021), 914, 1. @JDLothringer jlothringer@uvu.edu joshualothringer.faculty.uvu.edu What: We observed four transits of WASP-178b1,2 (Teq = 2450 K) from 0.2-1.7 µm with HST/WFC3 G280, G102, and G141 and JWST/NIRSpec G395H from 2.8 to 5.0 µm. In the NUV, SiO, Fe+, and Mg absorb over nearly 20 scale-heights.3 At IR wavelengths, absorption from CO and H2O is evident. References Results: Initial retrievals suggest sub-solar [O/H] and [C/H], sub-solar C/O, and approximately solar [Fe/H]. This tentatively implies the accretion of refractory and oxygen-rich material (e.g., silicate rock) into the planetary atmosphere. These retrieval results are very preliminary yet emphasize the informative nature of ultra-hot Jupiter spectra with respect to planet formation.6 Acknowledgements This work is based on observations made with the NASA/ESA-Hubble Space Telescope and JWST obtained at the Science Institute (Programs 16086, 16450, and 2055), which is operated by the Association Space Telescope of Universities for Research in Astronomy, Inc. FIGURE 2 – Posterior distributions for [Fe/H], C/O, [O/H], and [C/H] from PETRA using the combined HST-JWST transit spectrum of WASP-178b. These preliminary results suggest enrichment of the planet’s atmosphere by oxygen-rich rocky material like silicates (e.g., (Fe,Mg)xSiOy). Joshua D. Lothringer 1 2 (!) Zafar Rustamkulov3, David Sing3, Audrey Elison1, Neale Gibson4, Jamie Wilson5, Kevin Schlaufman3, Henrique Reggiani6 Affiliations 1) Utah Valley University 2) Space Telescope Science Institute 3) Johns Hopkins University 4) Trinity College Dublin 5) Queens University Belfast 6) The Observatories of the Carnegie Institution for Science Retrieval Results SiO, Mg, Mg+, Fe, Fe+ HST/WFC3/G102+G141 JWST/NIRSpec/ G395H H2O H2O, H- CO FIGURE 1 – Combined HST-JWST transmission spectrum of WASP-178b reduced with FIREFLy4 plotted with the best-fit spectrum from the retrieval with PETRA.5 Data points from different instruments have been shifted using offsets fitted for in the retrieval. HST/WFC3/G280 JWST/NIRSpec/ G395H H2O CO UV-O-IR Transmission Spectrum of WASP-178b Future: Determination of the stellar abundances is underway, with high-resolution spectra in-hand. Our retrieval results and modeling interpretation will further solidify. Expect a paper by the end of the year! A large population sample of UV-IR ultra-hot Jupiter transit spectra can help reveal the origin of giant planets.


Habitat edges aﬀect stand diversity more than biomass regeneration in a wet neotropical secondary forest Nicholas Medina Ecology and Evolution, University of Michigan Biology and Environmental Studies, Brandeis University; Land Stewardship, Osa Conservation HIGHLIGHTS - Old plantations may facilitate wet tropical secondary forest regeneration - Aboveground biomass and light were resilient to edge eﬀects across 300 m, while wood and stem density tended to increase across 300 m habitat edge - Diversity lowered non-linearly and community composition varied notably - Taxa associated with early- and late-stage succession tended to lose biomass - Future forests likely show some resilience in functions but not biodiversity INTRODUCTION Secondary forest regeneration - Forest and landscape restoration is a key international conservation and climate change adaptation strategy (De Pinto et al. 2020), and while tropical forests speciﬁcally store most land biomass (Pan et al. 2013), most are now secondary (FAO 2020) and regenerating degraded functions (Hubau et al. 2020) amid increasing climate stressors (Anderegg et al. 2022) yet insuﬃcient policy support (Robin L. Chazdon 2018) via skewed priorities (Pyron and Mooers 2022). - Secondary forests can regenerate relatively quickly compared to old-growth forests in some ways, but in other ways remain distinct. - Neotropical secondary forests can grow quickly enough to accumulate biomass >10x faster than old-growth forests (Finegan 1996; Poorter et al. 2016), and substantially oﬀset carbon emissions, with estimates ranging from ~10% from Amazonian deforestation (Smith et al. 2020) to a decade of fossil fuel emissions from all of Latin American and the Caribbean (R. L. Chazdon et al. 2016). - They also recover taxonomic richness and biomass quite quickly, as well as tree height, averaging 80% of old-growth forest levels in just 20 years, especially in wetter regions (Rozendaal et al. 2019). - The recovery of species richness alone is beneﬁcial in that it also tends to correlate with the recovery of some ecosystem services (Guariguata and Ostertag 2001; Stanturf, Palik, and Dumroese 2014) like biomass and carbon storage (Liu et al. 2018). - However, secondary neotropical forests diverge widely in taxonomic composition (Norden et al. 2015), potentially taking over a century to recover (Poorter et al. 2021) with added variability (Atkinson et al. 2022). - Despite being one of the slowest ecosystem properties to recover, restoring recovering community composition is often important for preserving rare taxa (Carlo and Morales 2016), which can be keystone to locally-adapted food webs, including birds (Maas et al. 2016). - Understanding secondary forest regeneration is key for global biodiversity conservation at the global scale, yet local management remains the strongest driver of tropical forest carbon stores (Pyles et al. 2022). Edge eﬀects - Secondary forest regeneration is often aﬀected by edge eﬀects, or changes near an ecosystem boundary, as well as land-use history, especially in heterogeneously-managed landscapes (Perfecto, Vandermeer, and Wright 2009; Melo et al. 2013). - About 70% of all forests have been estimated to be within a km of their edge (Haddad et al. 2015), resulting in tropical forests having been estimated to lose ~22% aboveground carbon along heavily-managed edges >100m, in part due to shortening trees and lighter leaf mass (Ordway and Asner 2020). - Edge eﬀects also have the potential to shape community composition, based on the local dispersal kernel patterns of existing taxa (Wandrag et al. 2017), which while complicated (Muller-Landau and Hardesty 2009), can also correlate with simpler plant traits like height and seed mass (Thomson et al. 2011; Tamme et al. 2014). - The traits of existing taxa also depend on land-use history and previous management (Omeja et al. 2012), which historically has favored tree taxa that tend to pioneering, or be faster-growing, have lower wood


Use Cases Next-GENeration IoT sOlutions for the Universal Supply chain www.ingenious-iot.eu ingenious_iot @ingenious_iot ingenious_iot Automated robots with heterogeneous networks use case foresees the use of 5G-enabled multi-task automated robots in future smart factory production lines or warehouses, targeting the interoperability of wireless and wired environments and the tactile internet where sensors and actuators synchronously work with latencies of few milliseconds. Improved driver’s safety with Mixed Reality (MR) and haptic solutions is a safety-centric use case that foresees to remotely control transportation of goods with Automated Guided Vehicles using tactile internet, edge computing and immersive enablers (MR engines, haptic gloves). Employees will be safe, away from hazardous working locations such as fuel port terminals. Inter-modal visibility in the supply chain with containers use case aims to provide End-to-End (E2E)intermodal asset tracking with satellite connectivity for enabling enhanced real-time monitoring of shipping containers when they are sailing through oceans without connectivity to terrestrial IoT networks. Supply chain ecosystem integration use case overcomes the absence of a virtual interoperability IoT and DLT layer that will be capable of securely and semantically exchange the information flows between the different actors that can take part along the supply chain ecosystem. Transportation platforms health monitoring use case pursues the asset health tracking in order to decrease operational costs and increase asset availability with new data-based service provided by low-power edge distributed network and intelligent sensor modules installed in the transportation platforms. iNGENIOUS aims to design and evaluate the Next-Generation IoT (NG-IoT) solution, with emphasis on 5G and the development of Edge and Cloud computing extensions for IoT, as well as providing smart networking and data management solutions with Artificial Intelligence and Machine Learning. The project embraces the 5G Infrastructure Association (5G IA) and Alliance for Internet of Things Innovation (AIOTI) vision for empowering smart manufacturing and smart mobility verticals. Architecture MANAGEMENT AND SECURITY SERVICES SMART APPLICATIONS NETWORK THINGS AR/VR GEOLOCATION AI PRIVACY SECURITY DLT INTEROPERABILITY RADIO NETWORK EDGE NETWORK IT NETWORK SENSORS SOC ACTUATORS MODEMS Security and privacy ●At the Management and Security level: data interoperability with pseudonymization for handling personal data according to European General Data Protection Regulation (GDPR); data integrity using Distributed Ledger Technology ●At the Network level: security enhancements over previous 3GPP standards ●At the Things level: policy analysis and definition for Identity & Access management for 5G-connected IoT devices Artificial Intelligence and Machine Learning (AI/ML) ●At the Smart Application level: accurate prediction of arrival times for vessels at maritime ports optimisation of truck turn-around times in ports ●At the Network level: adapting the assignment of network resources to IoT devices ●At the Things level: data processing at the edge within energy-constrained IoT sensors Cross-layer Innovations in the iNGENIOUS Architecture Situational understanding and predictive models in smart logistics scenarios use case aims to integrate artificial intelligence to improve the access of vehicles to ports and reduce the waiting times, leading to corresponding savings on direct costs for carriers.


Computer vision methods for monitoring outdoor recreation and wildlife Rachel Shively, Ryan Sharp, and Sarah Jackson Park Management and Conservation, Kansas State University Method Coding Time Accuracy Notes Manual Timelapse2 ●●●●● ●●●●● 2.7 sec/photo ●●●●● Depends on observer Slow handling. Limited output options. No coding required. DigiKam (recommended) ●●●●● ExifTool required ●●●●● 2.1 sec/photo ●●●●● Depends on observer Tags attached to meta- data of photos for more output flexibility. Computer vision (pretrained models) YOLOv4 ●●●●● ●●●●● 2.6 sec/photo (computer time) ●●●●● Mislabeled multiple objects Less accurate in low light. Did not detect all objects. Simpler batch coding. Detectron2 (recommended) ●●●●● ●●●●● 0.7 sec/photo (computer time) ●●●●● Mislabeled wildlife and ORVs Detected all objects. Easier to train for improving accuracy. Smart camera Raspberry Pi4 ●●●●● Comes with tutorials ●●●●● Immediate once programmed ●●●●● Requires specific objective Programmed tasks required. Low-cost camera option. Good for detecting thresholds (e.g., full parking lot) or specific animal/object. YOLOv4 Performed well on daylight detections of domestic animals, people, and common objects when entire object was in frame Table 1. Selection of options for processing trail camera photos for analysis. Trail cameras are useful for collecting large amounts of data from multiple locations with minimal disturbance; however, analysis of resulting photos can be time-consuming. Computer vision can improve analysis efficiency. We tested manual and computer vision options to analyze a set of photos from trail cameras placed at Cimarron National Grassland in southwestern Kansas. Considerations • Access to all required software is free • Camera placement matters • Detectron2 could eliminate empty images prior to manual analysis • Many tutorials are available – GitHub, RoboFlow, MatLab($) • Training to improve accuracy requires a labeled set of images. Pretrained models are rapidly improving as more labeled datasets become available. Detectron2 Detected objects even in low light. Labeled wildlife as domestic species. Training to correctly label ORVs was accomplished in 54 minutes.


Northern Gallego Thrust (NGT) Northern Gallego Thrust (NGT) Poor outcrop and reforestation made it diﬃcult to get measuerments Guara forms a topographical high, the ridgeline from WNW to ESE. Its beds are stronger than sorrounding formations Formations inferred in from localised peaks in topography and dip contrasts indicating possible faulting Outcrop between Guara and marl poor, however transistion characterised by sharp change in topography Talus slope of conglomerate phase visible in hillside looking east from the gorge 118 17 107 50 110 63 105 64 104 46 111 62 111 52 100 47 119 40 109 60 113 51 107 39 121 62 104 47 091 41 107 50 110 47 118 41 111 51 098 60 111 56 102 48 105 33 114 64 114 53 106 45 113 43 096 49 105 31 110 39 131 52 104 49 109 46 103 52 104 51 104 51 106 50 107 51 101 51 126 31 112 53 112 47 108 40 119 39 112 72 107 42 112 47 113 43 114 46 108 66 109 46 112 45 111 36 112 39 112 45 127 54 100 51 114 60 109 60 111 58 115 56 104 50 098 59 104 54 111 51 107 53 089 40 089 44 124 39 074 24 089 19 189 22185 36 129 44 137 32 100 27 094 40 094 42 184 22 189 29 137 50 103 52 097 44 080 56 103 61 129 31 102 57 122 19 135 35 120 39 109 31 107 34 110 23 105 33 117 52120 49 043 47 051 51 109 09 148 17 097 53 096 29 093 33 100 38 095 42 097 58 111 41 109 40 031 52 074 51 083 49 150 42 126 44 111 39 106 42 115 40 103 43 116 32 109 28 105 40 108 39 089 43 092 41 117 56 115 60 113 55 122 62 127 65 121 58 114 61 122 48 093 63 099 65 100 40 104 43 089 63 079 71 140 30 GLS GLS GLS AM AM AM AM CHL CHL CST CST 120 51 129 53 100 60 100 47 110 38 100 47 114 39 119 52 126 51 106 59 100 51 093 33 114 42 103 31102 41 173 44 177 35 129 40 128 48 138 44 131 43 135 42 118 54 098 50 106 62 128 48 042 31 036 28 193 43 029 28 052 19 022 21 134 80 082 60 073 46 070 26 070 26 082 30 046 29 000 27 025 26 069 31 020 31 015 23 010 21 072 90 111 31 106 62 113 22 150 50 081 63 199 43 183 39 168 87 176 87 145 70 147 66 104 42 135 19 126 78 138 22 130 21 120 35 111 31 124 44 119 38 201 20 305 70 158 36 136 42 081 63 135 61 131 62 041 42 064 36 143 90 090 41 107 43 087 61 093 32 079 03 083 02 094 04 083 02 086 39 099 29 042 49 055 46 019 42 097 37 091 39 116 39 106 51 188 69 183 86 109 42 123 38 086 72 081 66 084 69 082 43 CHL CST GLS AM AM CHL GLS GLS CST 185 07 111 37 109 41 113 48 095 49 098 62 098 64 093 54 132 32 123 37 119 39 098 57 082 53 100 66 101 76 091 72 064 53 033 51 135 72 025 51 032 54 093 54 342 26 348 30 014 29 001 24 008 27 340 33 344 36 344 36 332 50 023 19 015 15 TR TR TR ADB ADB ADB ADB ADB ADB ADB TR TR GLS AM 088 10 084 10 076 35 063 39 017 26 074 15 110 19 109 24 119 22 112 18 094 25 099 20 111 23 107 26 109 24 105 54 114 44 105 54 091 32 106 51 083 42 069 51 128 39 031 24 130 11 119 43 122 21 123 42 109 24 090 29 088 30 089 32 086 32 152 32 107 25 100 62 132 22 094 44 119 38 130 28 142 19 125 44 133 89 151 60 091 29 150 42 129 90 151 85 159 89 133 57 130 11 129 50 174 41 128 37 090 57 101 60 138 57 085 04 ADB ADB PDS SC SC SC PDS PDS PDS PDS SC CG1 CG2 CG3 CG4 CG5 CG3 GLS LNA LNA LNA CG2                                                                                Azoic silty and friable grey marls with no discernible bedding planes. Thin bands of laterally extensive Calcite exhibit slickenlines which are oriented downslip.


Mead Mead is an ancient alcoholic beverage made from fermented honey and water. Recently, mead has come back from the brink of obscurity and seen a global resurgence in popularity. Mānuka honey Mānuka honey contains the potent bioactive compound methyl glyoxal (MGO). MGO has significant and well- established antibacterial properties,1 and is responsible for mānuka honey’s international fame. High MGO-honey’s fetch premium prices in NZ and abroad. Mānuka mead… MGO? In previous qualitative studies, we’ve shown that MGO is not consistently preserved through the fermentation of mānuka honey mead – most of the time it doesn’t survive the fermentation process. To further probe this mechanism, a quantitative method was needed for its analysis. Quantitative method requirements • MGO has been quantified in mānuka honey – but never in mead. We set out to develop an HPLC method. • MGO requires derivatisation to be visible on an HPLC instrument. Two options for derivatising agents, PFBHA2 and o-phenylene diamine,3 have been used From Nectar to Glass: Quantification of Methyl Glyoxal in NZ Mānuka Honey and Mead Survey of commercial NZ meads The method was applied to a survey of all commercially available (explicitly) mānuka (n=8), and three non-manuka meads. Findings Only three of the commercial mānuka meads tested (MM1, MM4 & MM7) contained detectable levels of MGO. MM7 was noted to have been back-sweetened with mānuka honey - honey was added into the finished mead after fermentation. The other samples with MGO, MM1 and MM4, may also have been back-sweetened as they have high sugar content. Conclusions • Our developed method can efficiently quantify MGO in mānuka honeys and meads • MGO is NOT consistently present in mānuka meads –likely does not survive fermentation. Impact Our results show that producers should choose to reserve their more expensive mānuka honey for back-sweetening if an MGO- containing mead is desired. Next steps To further probe the interaction of yeast with MGO, we will apply the developed method to controlled lab-scale mānuka honey ferments – quantify MGO pre, mid, and post fermentation. Influence of: • MGO content of honey used? • Yeast strain? • Fermentation conditions? Comparison of derivatisation methods PFBHA o-Phenylene diamine Sample Preparation: ✓Simple sample prep ✓One hour incubation period ⨯Some phase splitting ⨯Precipitate at higher MGO concentrations ✓Simple sample prep ✓Overnight incubation period ✓Homogeneous samples High Concentration MGO: Low concentration MGO: o-Phenylene-diamine method selected due to better performance at lower MGO concentration (greater sensitivity), and fewer sample prep issues. Subsequently, the method was optimised at all steps: • Sample preparation • Incaution period/derivative stability • HPLC instrument method Then assessed for sensitivity: ✓LoQ = 0.58 mgL-1 in honey, 6.35 mgL-1 in mead And repeatability: ✓Experimental recovery 98-103 %, %RSD <4.5% Honey type MGO (mgL-1) Sugars (g L- 1) MM1 Mānuka 4.11 110.3 MM2 Mānuka Not detected 9.0 MM3 Mānuka Not detected 0.4 MM4 Mānuka 7.50 85.6 MM5 Mānuka Not detected 18.6 MM6 Mānuka Not detected 49.3 MM7 Mānuka 19.86 41.7 MM8 Mānuka Not detected 43.6 RM1 Rewarewa blossom Not detected 41.2 KM1 Kāmahi blossom Not detected 1.9 PM1 Pōhutukawa blossom Not detected 9.1 Claire Webstera, Rebecca Deedab, David Barkera, Lisa Pilkingtonac a) School of Chemical Sciences, The University of Auckland Waipapa Taumata Rau b) School of Biological Sciences, The University of Auckland Waipapa Taumata Rau c) Te Pūnaha Matatini References 1) J. Apic. Res. 1988, 27 (1), 62–67. https://doi.org/10.1080/00218839.1988.11100783 2) PLoS ONE 2016, 11 (11), e0167006. https://doi.org/10.1371/journal.pone.0167006. 3) Carbohydr. Res. 2008, 343 (4), 651–659. https://doi.org/10.1016/j.carres.2007.12.011.


Stellar magnetic ﬁelds are generated by dynamo mechanisms deep inside the stars. However, the type of dynamo cannot be the same for every star. It depends on the internal structure of the star which, in turn, depends on the stellar mass. In the Sun, for example, it is thought that ﬁeld generation primarily occurs in a thin layer between the radiative core and the outer convective zone. This type of dynamo cannot operate in very low mass stars that are fully convective and therefore lack such an interface. The differences in the underlying dynamo manifest themselves in the properties of the magnetic ﬁelds at the stellar surface. Using Zeeman-Doppler imaging (ZDI), the strength and geometry of stellar magnetic ﬁelds can be mapped. In this poster, we use ~100 Zeeman Doppler maps to probe the underlying dynamos of ~50 stars. Introduction Saturated and unsaturated regimes The poloidal and toroidal components both follow the well known activity-rotation relation from X-ray studies. Both display the unsaturated and saturated regimes with the transition occurring at a Rossby number of ~0.1. The similarity between the two plots indicates that the poloidal and toroidal ﬁelds are generated from each other. The magnetic energy at the stellar surface can be broken down into various components that reﬂect the geometry of the magnetic ﬁeld. The most commonly used components are the poloidal/toroidal components as well as the axisymmetric component. Field geometry When plotting the the toroidal magnetic energy against the poloidal magnetic energy, we ﬁnd that the sample splits into two subsamples. Stars more massive than 0.5 M⊙ (circles) are able to generate toroidal ﬁeld more efﬁciently and follow a different power law to stars less massive than 0.5 M⊙ (pentagons). This change in power laws is likely due to a change in internal structure as stars cross the fully convective boundary. See poster by Lisa Lehmann for further discussion. When plotting the percentage of magnetic energy in axisymmetric modes against the percentage of magnetic energy that is toroidal, we ﬁnd that the most toroidal stars also have the most axisymmetric ﬁelds. This is a strong indication that toroidal ﬁelds are generated via differential rotation - an axisymmetric ﬁeld generation mechanism. Conclusions In this poster, we have analysed ~100 ZDI maps of ~50 stars. This is the largest sample of stars gathered to date to study the behaviour of toroidal ﬁelds as a function of various parameters. We also ﬁnd that the internal structure of a star affects the relative strengths of the poloidal and toroidal components. Fully convective stars appear to be remain dominantly poloidal whereas stars with radiative cores are able to generate dominantly toroidal ﬁelds. Lastly, we ﬁnd that the most toroidal stars also have the most axisymmetric ﬁelds. On the other hand, the orientation of the magnetic axes of dominantly poloidal stars appear to be unconstrained relative to their rotation axis. We ﬁnd that that the magnetic ﬁeld strengths follow the activity-rotation relation. This provides another link between X-ray emission and the magnetic ﬁelds that generate them. Victor See1, M. Jardine1, A. A. Vidotto2, J.-F. Donati3, C. P. Folsom4 et al. The magnetic ﬁeld geometry of cool stars 1University of St Andrews, 2Trinity College Dublin, 3University of Toulouse, 4University of Grenoble arXiv: 1508.01403 See et al. (2015) wcvs@st-andrews.ac.uk


Poster sessions 80 | P a g e estimating the efficacy of control measures is paramount to avoid potential outbreaks and have a better understanding of the epidemiology of the pathogen in such different environmental conditions (i.e. compared with geographical regions where Xylella was previously detected). Being pathogen-free, there are no epidemiological data regarding the UK, therefore we used all the available information to formulate qualitative and quantitative predictions, and theorise different scenarios. In particular, we model short-distance dispersal, stochastic long-distance dispersal, control zones (in agreement with the methodology employed in Apulia), and different levels of surveillance and detection efficacy. Modelling xylem temperature in olive and almond trees to estimate Xylella fastidiosa infection in woody hosts Navas-Cortés JA*, Román-Écija M, Landa BB, Testi L *Instituto de Ciencias Agrarias (ICA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid (ES) The present work was presented in the framework of the Joint Annual Meeting of the EU Horizon 2020 Projects POnTE ‘Pest Organisms Threatening Europe' (GA 635646) and XF-ACTORS ‘Xylella fastidiosa Active Containment Through a multidisciplinary-Oriented Research Strategy' (GA 727987). Abstract: Xylella fastidiosa (Xf) can infect a wide range of woody crops that are grown extensively worldwide. The temperature patterns inside the woody plant parts which are the habitat of Xf cells may nevertheless be different to those of the standardly recorded air temperature, due to the wood thermal inertia, wind speed or incident radiation energy and its shading by the canopy. To investigate the relationship between the temperatures that can be reached in different parts of the xylematic system and those of the surrounding air, an experiment was conducted in Córdoba, southern Spain, from 2017 to 2019. In a high-density plot, a set of four mature olive trees (two with maximum exposure to sunlight on the southern border and two in the middle of the plot) were instrumented with a multiplexed set of specially-made thermocouples placed in different parts of the active xylem tissues. Measurements were made uninterruptedly from winter 2017 to spring 2019 at 10-min. intervals: inside small branches (1 cm diameter), inside the trunk at 2 and 4 cm depths, and in the soil underneath the trees at 20 cm depth. This set was replicated on the southern (sunlit) and northern side of each tree; in situ standard measurement of air temperature at 1.5 m height was also recorded. The experiment was replicated in a nearby almond tree plot. Solar radiation, air temperature and wind speed were measured concurrently in a nearby meteorological station. Our results indicate that winter standard air temperature minimums closely match those of all the above-ground xylematic systems, while maximums may differ substantially (> 20 °C), especially in the deeper xylem rings. For these parts and the root xylem, a model of heat transfer which includes the shading effect may be necessary. These results would allow a better parametrisation of epidemiological models used to estimate the development of Xf infection in woody hosts. Acknowledgement This work has received funding from 727987 XF-ACTORS (EU-H2020), E-RTA2017-00004- C06-02 from AEI-INIA Spain and FEDER, and the Spanish Olive Oil Interprofessional. Session: Insect vectors Vector parameters relevant to model the management of Xylella fastidiosa pauca ST53 invasion Porcelli F*, Liccardo A, Fierro A *Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, University of Bari Aldo Moro (IT) Abstract: We present a model, based on both Life Table and Statistical Mechanics techniques, aimed at identifying a valid Integrated Pest Management strategy to mitigate


• Background: QCD di-jet events • Anomalous signatures: - Narrow and Broad RS gravitons ( ) - New scalar boson ( ) G →W W A →HZ →Z Z Z Quantum anomaly detection in the latent space of proton collision events at the LHC V.Belis1,2, Ema Puljak1,3, K.A.Woźniak1,4, G.Dissertori2, F.Reiter2, M.Grossi1, M.Pierini1, P.Barkoutsos5, I.Tavernelli5, S.Vallecorsa1 We propose a new strategy for anomaly detection at the LHC based on unsupervised quantum machine learning algorithms. To accommodate the constraints on the problem size dictated by the limitations of current quantum hardware we develop a classical convolutional autoencoder. The designed quantum anomaly detection models, namely an unsupervised kernel machine and two clustering algorithms, are trained to find new-physics events in the latent representation of LHC data produced by the autoencoder. The performance of the quantum algorithms is benchmarked against classical counterparts on different new-physics scenarios and its dependence on the dimensionality of the latent space and the size of the training dataset is studied. For kernel-based anomaly detection, we identify a regime where the quantum model significantly outperforms its classical counterpart. An instance of the kernel machine is implemented on a quantum computer to verify its suitability for available hardware. We demonstrate that the observed consistent performance advantage is related to the inherent quantum properties of the circuit used. Abstract LHC pp collision (MC simulation) Physics signatures Features (Δη, Δϕ, pT) 100 particles x ... ... ... ... ... ... ℓ Dimensionality reduction Models for Quantum anomaly detection • To address limitations of NISQ devices • Convolutional AE - acts per-particle level Quantum Kernel: k(xi, xj) = |⟨0|U†(xi)U(xj)|0⟩|2 Unsupervised quantum kernel machine Designed data encoding map to be hardware efficient, adequately expressive and have non-trivial interaction between input features U(x) G (θ, ϕ, λ) ∈SU(2) data encoding c o s ( θ 2 ) e−iλ s i n ( θ 2 ) eiϕ s i n ( θ 2 ) ei(ϕ+λ)s i n ( θ 2 ) Clustering algorithms Use amplitude encoding to map inputs to quantum states Cluster assignment using quantum circuits for distance calculation and optimization procedures QK-means / QK-medians QK-means quantum circuit 1. Distance calculation (Figure below/ H gate on MSQ - destructive interference probabilities) 2. Grover search algorithm / Hybrid quantum-classical optimization Results Convolutional AE Conclusions • We presented a systematic study of QML models for anomaly detection in proton collisions, comparing them as a function of anomalous physics signatures, latent dimensionality and training size • We observed the window of quantum advantage for unsupervised quantum kernel machine • Quantum clustering algorithms show advantage for smaller training size • Preprint: arXiv:2301.10780 Quantum harware results Kernel Machine Run AUC htr⇢2i Hardware L = 1 0.844 0.271(6) Ideal L = 1 0.999 1 Hardware L = 3 0.997 0.15(2) Ideal L = 3 1.0 1 Classical 0.998 - L = number of repetitions of U(x) Quantum advantage window • Consistent performance advantage ( > 1) in parameter space () • Inscrease of expressibility and entanglement of circuit leads to rise of performance up to maximum L=4 (left figure) • For L=3 algorithm performs better for higher number of qubits (inner plot in left figure) ΔQC 1 2 3 4 5


INSTITUTE FOR INTERNATIONAL RESEARCH ON CRIMINAL POLICY FINANCIAL CRIME SCRIPT OF SYNTHETIC DRUG PRODUCTION Sophia De Seranno | Prof. dr. Charlotte Colman Sophia.Deseranno@Ugent.be | +32 (0)9 264 68 38 Department Criminology, Criminal Law and Social Law Universiteitstraat 4, 9000 Ghent De Seranno, S., & Colman, C. (2024). Geldstromen gerelateerd aan synthetische drugsproductie in België. In. T., Snaphaan, & P., Klerks (eds.). Crime Scripting; Theorie en Praktijk, Boom. Sources: Snaphaan et al. (2023); Snaphaan & van Ruitenburg (2024); Van Santvoord & van Ruitenburg (2022) The production, wholesale, middle level and retail of synthetic drugs (syndrug): all present in Belgium Large-scale production of (meth)amphetamine & MDMA = profit-driven crime by organised crime groups Money flows: costs, revenues, financing related to syndrug production in Belgium? judicial case file study + interviews with inmates Financial Crime Scripting (FCS) + Social Network Analysis (SNA) S1 S2 S4 S6 S1 S2 S4 S6 Financial actors: network position and connections of financers/investors/ money launderers? FCS of large-scale syndrug production Position and connections of financial actors - 119 financial actors involved in 4 scenes of syndrug production (S1, S2, S4 and S6) - Frequently interconnected →clusters - FCS is a useful tool for both practice ánd scientific research: provides insights into money flows of complex and profit-driven crime by organised crime groups - A combination of quantitative and qualitative data is preferable - FCS and SNA can strengthen each other ? ?


19°0'0"E 18°E 17°E 16°E 15°E 14°E 13°E 45°N 44°N 43°N 42°N 41°N 40°N 0 100 200 50 km A B -200 -1200 -500 (m) A B Slope section ADW NAdDW LIW -0 A NAdDW production area NAdDW LIW ADW Ionian Sea Tyrrhenian Sea Italy Adriatic Sea Hotspot Ecosystem Research and Man's Impact On European Seas Annual meeting 2011 Malaga, 11-15 April 2011 CONSIGLIO NAZIONALE DELLE RICERCHE Istituto di Scienze Marine Submarine slides Canyons Gondola deformation belt Seamount Mooring stations 0 10 20 30 40 5 Km - 35 m -1205 water depth A 0 10 20 30 40 5 Km Giant grooves Barchan crest Furrows Mud waves ridge Scour Mud waves area Furrows area Giant sediment drift area Moat area Comet mark area Complex area N 3 km 50 m 1200 m AR89 D AR89 0 45 90 135 180 225 270 315 0 4 8 12 (cm/sec) 0 45 90 135 180 225 270 315 0 5 10 15 20 25 (cm/sec) 2 4 3 5 6 1 2 3 4 5 6 1 12 Km N 6 km N SE120 SE151 SE151 600 575 625 550 msec 1200 m -850 -900 -950 -1000 m 1 km The reshaping of the South West Adriatic Margin by pervasive dense shelf water cascading Foglini F., Trincardi F., Campiani E. & Langone L. Istituto di Scienze Marine ISMAR – CNR, Bologna, Italy Simplified intermediate- and deep-water circulation in the Adriatic Sea: NAdDW=North Adriatic Dense Water; LIW=Levantine Intermediate Water; ADW=Adriatic Dense Water. Cascading NAdDW impact the seafloor of the SW Adriatic margin, eroding and depositing large amounts of fine-grained sediment below a markedly erosional upper slope. By cascading across the slope over a prolonged interval (several weeks each year), the dense NAdDW impinges the seafloor and interacts with the margin morphology, generating: patchy fields of large-scale mud waves; a variety of erosional bed forms, such as moats, furrows and comet marks; an area of widespread sea floor erosion. The Southwest Adriatic Margin includes a steep and morphologically complex continental slope stretching about 400 km from the Pelagosa sill to the Otranto strait. The area has been investigated through multibeam surveys accompanied by high-resolution seismic stratigraphic surveys investigating glacial and post-glacial deposits. The margin is dissected by submarine slides, with head scars up to 10 km along the shelf edge and run-out distances of tens of km, an active fault system (the Gondola deformation belt), Bari Canyon and a set of shallowly incised and relatively straight canyons located further south. After the end of the last glacial sea level low stand the North Adriatic shallow shelf became progressively drowned as a consequence of the eustatic rise. Through its progressive drowning, this region became a shallow shelf and one of the Mediterranean key sites for the formation of dense shelf waters through wind-forced winter cooling. The dense waters formed through this process move to the south, along the western side of the Adriatic, and reach the South Adriatic slope across which they cascade hugging the sea floor and generating a myriad of depositional and erosional effects such as: giant sediment drifts down to 1200m water depth, muddy and sandy sediment waves, comet marks against pre-existing slide blocks, furrow fields, large scours at the shelf edge and large erosional moats against major morphological barriers. CONCLUSION -The cascadings of dense shelf watersconcur to a thorough “restyling” of the margin morphology interacting with the pre-existing and markedly differentiated morphologies and sediment distribution. -Mapping the active bedforms and the areas of dominant seafloor erosion allows quantification of the extent to which bottom-hugging currents are effective in reshaping the margin morphology. -The seasonal impact of cascadings water has also a major effect on benthic fauna distribution. Furrow fields at the base of the southern slope with an area of 71.69km2 in water depth between 753 and 960m. The field emanates from the mouth of a slope gulley oriented roughly N-S and appear to expand and diverge eastward. The typical depth of the furrow is 0.5m and


“source beam filling factor” τ = 1000 s background temp.: 300 K Towards a Broadband Q-Band VLTI Heterodyne Instrument E. A. Michael 1, L. Labadie 2, N. Honingh 2, K. Jacobs 2, U.U. Graf 2, S. Schlemmer 2, J. Stutzki 2 1 Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago, Chile 2 1. Physikalisches Institut, Universität zu Köln, Zülpicher Str. 77, 50937 Köln, Germany Abstract- Expanding VLTI long-baseline interferometry to some atmospheric windows in the Q-band (e.g. 20.5 or 24.5 µm) would offer strong complementarity between the Paranal instrument suite and ALMA to observe bright, massive, embedded objects but also giant stars. In this limited spectral range, the heterodyne approach is appropriate considering the high thermal background, along with recent experimental findings on a quantum-limit heterodyne detection scheme allowing to envision competitive spectral resolution. A new class of heterodyne mixers to be developed in the next years may extend the bandwidth up to hundred GHz. IF-processors could sub-divide this into por- tions manageable by next generation digital correlators. QCL telescope-LOs could be phase-locked to a central reference laser at 1550 nm. Fringe tracking information from ex- isting shorter wavelength instruments could generate a suitable phase-modulation of the LOs to compensate piston phase jitter making very long integration times possible. MOTIVATION AND GENERAL CONCEPT  Proof of Concept at 1.55µm with small telescopes on very bright stars  1.4 – 1.8 mm is an atmospheric window with >95% transmission (H-band)  High-precision phase control beneficial for largest baselines + nulling interferometry  Mobility: connect any group of existing less-used medium size optical telescopes (e.g. at La Silla, Paranal, Las Campanas, or Tololo, Chile)  Baselines of many km should be possible: try the 14” Goto-Dobsonians with the ALMA buried fibers to run a demonstration experiment ESO VLTI workshop München Garching, 17 June - 20 June, 2019 4. Visions  Migrate the near-IR prototype to mid-IR by developing the graphene mixers and tunable mid-IR LOs  Use triple-correlation signals (containing phase closure) to enable long integration times  Increase the IF-bandwidth, use faster digital correlators  proof frequency averaging mode and dispersed heterodyne receiver concept (optionally first at 1550 nm)  Use our interferometer prototype as a test bench for fast mid–infrared receivers  identify and adapt tunable sources or frequency combs in the mid-infrared for LO-purposes 3. Heterodyne versus direct detection thanks to CONICYT-ALMA funds Nº 31090018 and 31140025, QUIMAL Nº150010, CATA-Basal PFB-06, ESO Mixed-Committee 2016 + 2018 ©NASA ©ALMA ©ESO Science goals for using very large telescopes in the N– and Q-band Active Galactic Nuclei Planet Formation Stellar Formation and Evolution Two-telescope version 2. Proposal: Develop BCRs at mid-infrared wavelengths  Various options ffor universal and fast IR-materials/architectures  In synergy with SOFIA developments, try microfabrication and test, first as single mixers: 1. Graphene-based plasmonic coupling photoconductive mixers reaching >50 GHz IF: 2. Alternative 1: Traveling-wave metal-insulator-insulator-metal tunneling junctions (TW-MIIM): 1. New concept of Balanced Correlation Receivers (BCR)  De-correlation of quantum noise of local oscillator at power splitters enables to reach quantum-noise limit and even overcome it: experimental evidence at 1550 nm  Investigated with digital correlation using a ROACH-board (Xilinx FPGA-board with two 3 GSPS) 3. Alternative 2: Travelling-wave (new!) HgCdTe-photodiodes (“TW-MCT”)  Then try to combine pairs of single mixers to balanced mixers  Conducting a BCR experiment at 450 GHz to check quantum effect observed at 1550 nm Developed tip-tilt correction with magnetic fiber actuator  Plotted are pre-detection SNRs: radiation- noise limited  worsens by detection efficiency + post-


1ª SEMANA CIENTÍFICA MULTIDISCIPLINAR "ESPERANÇARTE" Não há distância para quem canta! 1 2 4 3 INTRODUÇÃO Esta pesquisa tem como objetivo promover a prática de artes integradas com base nas Artes Visuais e na Música associadas ao conhecimento das Tecnologias aplicadas à Educação Infantil. Como campo para o exercício dessas práticas, utilizou-se o espaço escolar, equipe pedagógica e parceiros comunitários do Centro Municipal de Educação Infantil Odila Simões, localizado no bairro Quadro na capital Vitória-ES. Em outras palavras, vale considerar a importância dessas práticas, tendo em vista que, em geral, desde os primeiros anos de formação do sujeito, as artes e as tecnologias desempenham um papel fundamental no desenvolvimento cognitivo dos alunos. Nesse sentido, essas práticas contribuem significativamente para uma aprendizagem que estimula a sensibilidade e o exercício da cidadania ativa na sociedade atual. MATERIAIS E MÉTODOS A proposta metodológica assume uma abordagem qualitativa, uma vez que os materiais utilizados foram estabelecidos de acordo com a formação acadêmica de cada profissional envolvido na organização do evento. Para a realização das atividades foram empregados instrumentos musicais, softwares, vetores, materiais para pintura e arte, que culminaram em dinâmicas musicais e coreográficas com alunos, professores e demais parceiros comunitários da referida escola. PREFEITURA MUNICIPAL DE VITÓRIA SECRETARIA MUNICIPAL DE EDUCAÇÃO CENTRO MUNICIPAL DE EDUCAÇÇAO INFANTIL CMEI ODILA SIMÕES RESULTADOS Essas práticas no ambiente escolar contribuem para a promoção da criatividade e a ampliação da visão de mundo dos alunos da instituição. Além disso, a realização dessas atividades possibilitou a publicação de dois volumes do livro MUSICOLORIR. Portanto, as reuniões de planejamento deste evento proporcionaram engajamento social entre a comunidade e profissionais de diferentes áreas do conhecimento e, com isso, os alunos da escola puderam se familiarizar com conhecimentos sobre símbolos e instrumentos musicais, artes visuais e tecnologias. CONCLUSÃO As artes são fenômenos da natureza que estão presentes em diversas manifestações sociais, inclusive nos ambientes escolares. Nesse sentido, ao iniciarmos os primeiros processos de desenvolvimento humano — a infância — as artes terão um papel fundamental na promoção da sensibilidade coletiva. Ademais, o uso das tecnologias na educação pode contribuir para a valorização das habilidades artísticas, o desenvolvimento escolar e o exercício da cidadania de todos os envolvidos. Portanto, os desdobramentos dessas atividades didático- pedagógicas contribuíram para proporcionar acessibilidade a essas práticas, atingindo um público amplo de diferentes atores da educação infantil. REFERÊNCIAS BRASIL. Ministério da Educação. Base Nacional Comum Curricular. Brasília, 2018. Esp. Luciene Rodrigues Bernardino luarter1@gmail.com Me. Thiago Pessanha Correa thipesscorr@gmail.com Esp. Elenisio Rodrigues Barbosa Junior elenisiopiano@gmail.com


[1] R. Voytovych, V. Bougiouri, N. R. Calderon, J. Narciso, N. Eustathopoulos, Reactive infiltration of porous graphite by NiSi alloys, Acta Mater. 56 (2008) 2237–2246. [2] B. Drevet, N. Eustathopoulos, Wetting of ceramics by molten silicon and silicon alloys: a review, Journal of Materials Science 47 (2012) 8247–8260. [3] M. Naikadea, B. Fankhänel, L. Weber, A. Ortona, M. Stelter, T. Graule, Studying the wettability of Si and eutectic Si-Zr alloy on carbon and silicon carbide by sessile drop experiments, J- Eur. Ceram. Soc., 39 (2019) 735-742. Conclusions Wetting behavior and reactivity of liquid Si-10Zr alloy in contact with Glassy Carbon and SiC Donatella Giuranno1, Adelajda Polkowska2, Wojciech Polkowski2, Grzegorz Bruzda2, Enrica Ricci1, Rada Novakovic1 1Institute of Condensed Matter Chemistry and Technologies for Energy, National Research Council, CNR-ICMATE, Via De Marini 6, 16149, Genova, Italy 2Foundry Research Institute, ul. Zakopianska 73, Krakow, Poland donatella.giuranno@ge.icmate.cnr.it Acknowledgements The NCN-National Science Center, Poland is greatly acknowledged for the financial support through the POLONEZ project number UMO-2016/23/P/ST8/01916. This project was carried out under POLONEZ-3 program which has received funding from European Union’s Horizon 2020 research and innovation program under Marie Skłodowska-Curie grant agreement. No 665778. Materials Science Materials Design MexSiy SiC Impact Currently, the main challenges facing the development of advanced refractory MMCs (SiC- ZrSi2) and CMCs (C/C-ZrC-SiC) are related to the costly fabrication of tailored and performant interfaces microstructures for highly demanding applications, to optimize the fabrication process and to identify ad-hoc the metal matrix for each application. Goal Aiming to ‘‘mimic’’ the conventional operating conditions imposed in fabricating MMCs via liquid assisted processes such as reactive infiltration, the contact heating sessile drop method (CHSD) was applied for better understanding the interaction phenomena occurring between the liquid Si-10at%Zr alloy in contact with Glassy Carbon (GC) and SiC substrates. Specifically, the contact angles behaviors as a function of time were obtained over the temperature range of T = 1354-1500°C under an Ar atmosphere. Why? Fundamental investigations performed under well-defined operating conditions on the occurring interfacial phenomena between liquid Si-Zr alloys in contact with C and SiC substrates, are key steps for optimizing liquid assisted processes (reactive infiltration). Targeted wettability and reactivity studies can easily provide useful indications for solving many technological problems affecting the reactive infiltration mechanisms, such as pore closure/narrowing phenomena. Introduction Computational models are enabling the design and manufacture of costless and high quality advanced complex metal-based materials such as SiC-based composites, since longer gaining interest for the use in aerospace, automotive, defense, nuclear reactors and various other engineering applications. In particular, the production of tailored SiC-based composites via reactive infiltration of Si-based alloys into C-and SiC-based preforms, mainly by assisting computational simulations, is currently one of the main goals of materials design. T ≤ 1700°C, 1 Ptot 10-6 mbar C-heater acting as O2-getterSi-Zr Phasediagram ZrSi2 ZrSi2 Si-8.6at%Zr 20 mm 20 mm Si-10at%Zr as-cast Arc melting 1 mm W ≈ 50 - 60 mg Glassy Carbon (GC) Alfa Aesar, Ra ≈ 20 nm HP SiC (SiC) Goodfellow, Ra ≈ 1mm 3D Profilometer/confocal optical microscope Substrates Sample C-tube Coil Water-cooling CCD Camera Pyrometer Heating rate ≤ 15/s, Cooling rate = 20/s Thermocouples/Pyrometer Real-time residual gas analysis Real-time acquisition data (ASTRAview) CCD camera Feed GAS HV Pump MV Pump Water cooled quartz tube CoilExperimentalset-up Materials & Method SEM/EDX analyses (top drop) of Si-10Zr/GC couples after wetting tests at T = 1354-


Scan the QR code to access an electronic copy of the poster (‘smart poster’) that includes links to the audio poster summaries from these co-authors DIA 2020 Global Annual Meeting; #89465 What pharmaceutical company leaders say and what patient leaders think: Quantitative and qualitative analyses Introduction • Pharmaceutical company leaders (eg, board chairs) can help drive a patient-focused cultural shift in their organizations. • Cultural change could be signalled through the words used by board chairs in their widely circulated, highly visible, and influential annual reports. • This ‘top down’ signalling could reinforce a company-wide commitment to partnering with patients, as well as reflecting ‘bottom up’ patient-centric initiatives being pursued across the company. Objectives To investigate: A. The frequency and context of the use of the word ‘patient’ by board chairs of the top 10 global pharmaceutical companies, and whether this usage changed from 2008–2018 B. How usage related to patient groups’ views of these companies. References 1. INVOLVE UK. What is public involvement in research? Available from: https://www.invo.org.uk/find-out-more/what-is-public-involvement-in-research-2/ 2. Corporate reputation of pharma in 2018 - the patient perspective (publicly accessible information only). Available from: https://www.lundbeck.com/upload/global/files/pdf/features/PATIENTVIEW%20PRESS%20RELEASE%2 0APRIL%202018.pdf Acknowledgments and disclosures We thank Envision Pharma Group for funding poster development. KW, LA, AB are Envision employees. CS was paid by Envision to prepare the audio script; no payment was received for authorship. All authors support patient involvement in medicines development. Results A. Frequency and context of the use of the word ‘patient’ by board chairs in annual reports Karen L. Woolley,aCarole Scrafton,b Amanda Boughey,cLauri Arnsteinc aEnvision Pharma Group, Australia, and University of Queensland, Australia; University of the Sunshine Coast, Australia; bFibroFlutters, UK; cEnvision Pharma Group, UK Methods 1 Obtain e-copies of the 2008 and 2018 annual reports of the top 10 global pharmaceutical companies (based on 2018 sales). 2 Use summative content analysis to assess the frequency and context of use (based on definitions adapted from INVOLVE UK1). 3 Compare results to PatientView rankings of these companies based on input from 1500 patient groups in 78 countries.2 0.44% 0.69% 2008 2018 • Use of the word ‘patient’ was low (<1% of words used) • Use remained low, but increased in 2018 Mean word count of annual report = 1627 Mean use of ‘patient’ = 7.5 (0–21) Mean word count of annual report = 1390 Mean use of ‘patient’ = 10.1 (0–45) B. Comparison with PatientView rankings 0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 Pfizer Roche Novartis J&J Merck & Co (MSD) Sanofi AbbVie GSK Amgen Gilead % of annual report word count 2008 2018 • Use of ‘patient’ as an active partner was low (<5% of use)* • Use as an active partner remained low, but increased in 2018 1.86% 3.87% 2008 2018 We listen intently to healthcare communities, starting with patients, who visit our facilities to speak with, teach, and inspire us. Robert A. Bradway, Board Chair, Amgen, 2018 Example of active partner use““ * For reporting integrity and completeness, board chairs would need to review robust metrics on ‘patients as active partners’ initiatives across their companies (eg, via a Patient Partnership Dashboard with metrics for active partnerships by region, by function, by therapeutic area). Words matter. Pharmaceutical company leaders could help drive a patient-focused culture by enhancing the frequency and context of their use of the word ‘patient’ in their annual reports ^can Limitations • Pharmaceutical companies could have had active partnership projects with patients that were not reflected in board chair reports. • Our sample only included the top 10 global pharmaceutical companies. • We could only use the publicly accessible ranking inf


EGU24-20264 Erlendsson et al. (2024) REFERENCES Blischke, A., Brandsdóttir, B., Stoker, M. S., Gaina, C., Erlendsson, Ö., Tegner, C., Halldórsson, S. A., Helgadóttir H. M., Gautason, B., Planke, S. & Hopper, J. R. (2022). Seismic volcano-stratigraphic characteristics of the Jan Mayen microcontinent and Iceland Plateau rift sys-tem. Geochemistry, Geophysics, Geosystems, 23, e2021GC009948. https://doi.org/10.1029/2021GC009948 Blischke, A., Brandsdóttir, B., Karson, J. A., and Erlendsson, Ö. (2024). Fracture zones and rift systems of eastern Iceland: Tectonic and geodynamic links to extinct rifts on the Iceland-Faroe Ridge and Iceland Plateau. EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12369. https://doi.org/10.5194/egusphere-egu24-12369 Erlendsson, Ö., Blischke, A., Hjartarson, Á., Óðinsson, D.Þ. & Vésteinsson, Á.Þ. (2023). The Geological mapping of Iceland’s Insular Shelf and Adjacent Deep Ocean. EGU General Assembly 2023, EGU23-15536. https://doi.org/10.5194/egusphere-egu23-15536. Gaina, C., Nasuti, A., Kimbell, G. S. & Blischke, A. (2017). Break-up and seafloor spreading domains in the NE Atlantic. Geological Society, London, Special Publications, 447(1):393. https://doi.org/10.1144/SP447.12 Hjartarson, Á. & Erlendsson, Ö. (2018). The Geology of Iceland´s Insular Shelf and Adjacent Deep Ocean: The Contribution of Iceland GeoSurvey to EMODnet. Íslenskar orkurannsóknir, ÍSOR 2018/027, p. 125. Hopper, J. R., Funck, T., Stoker, M. S., Árting, U., Peron-Pinvidic, G., Doornenbal, H. & Gaina, C. (2014). Tectonostratigraphic Atlas of the north-east Atlantic region. The geological survey of Denmark and Greenland (GEUS) (1st ed.). ISBN 9781786202789 Höskuldsson, Á., Hey, R., Vésteinsson, Á.Þ. & Kjartansson, E. (2009). Þróun eldvirkni við Vestmannaeyjar síðustu 20 þúsund ár. Í Sjór og sjávarlífverur, ráðstefna haldin 20.–21. febrúar 2009. Reykjavík, Hafrannsóknastofnun, Hafrannsóknir, 143, p. 19. Höskuldsson, Á, Kjartansson, E., Vésteinsson, Á.Þ., Steinþórsson, S. & Sigurðsson, O. (2013). Eldstöðvar í sjó. In: Sólnes, J., Sigmundsson,F. & Bessason, B. (ed). Náttúruvá á Íslandi — Eldgos og jarðskjálftar. Reykjavík, Viðlagatrygging Íslands/ Háskólaútgáfan. Magnúsdóttir, S., Brandsdóttir, B., Driscoll, N. & Detrick, R. (2015). Postglacial tectonic activity within the Skjálfandadjúp Basin, Tjörnes Fracture Zone, offshore Northern Iceland, based on high resolution seismic stratigraphy. Marine Geology, 367, 159-170. Nasuti, A. & Olesen, O. (2014). Magnetic data. In J. R. Hopper, T. Funck, M. S. Stoker, U. Árting, G. Peron-Pinvidic, H. Doornenbal & C. Gaina (Eds.). Tectonostratigraphic Atlas of the north-east Atlantic region. The geological survey of Denmark and Greenland (GEUS) (1st ed.). ISBN 9781786202789 Þórarinsson, S. (1965). Neðansjávargos við Ísland. Náttúrufræðingurinn, 35, 49–74.


Methods Conclusions Synthesis of porous MnO2 nanorods and electrochemical performance Yogesh Kumar1, A. Gupta1, S Chopra1, A Kumar2, Y Kumar3 1School of basic and applied science, G.D. Goenka University, Gurugram, Haryana, India, 122103. 2Institute Instrumentation Centre, I. I. T. Roorkee, Roorkee Uttarakhand, India, 247667. 3Department of Physics, ARSD College, University of Delhi, New Delhi-110021. Bibliography 1. Z. Yang et al., “Electrochemical Energy Storage for Green Grid,” Chem. Rev., vol. 111, no. 5, pp. 3577–3613, May 2011, doi: 10.1021/cr100290v 2. Trasatti S, Buzzanca G. Ruthenium dioxide: a new interesting electrode material. Solid states structure and electrochemical behaviour. J Electroanal Chem. 1971;29(2):A1–A5. 3. Cao JY, Li XH, Wang YM, et al. Materials and fabrication of electrode scaffolds for deposition of MnO2 and their true performance in supercapacitors. J Power Sources. 2015;293:657–674 4. Augustyn V, Simon P, Dunn B. Pseudocapacitive oxide materials for high-rate electrochemical energy storage. Energy Environ Sci. 2014;7(5):1597–1614 5. H. Y. Lee and J. B. Goodenough, “Supercapacitor Behavior with KCl Electrolyte,” Journal of Solid State Chemistry, vol. 144, no. 1, pp. 220–223, Apr. 1999 A facile one-step hydrothermal method to prepare porous MnO2 nanorods at 110 °C for their application as electrode materials for high-quality supercapacitors. The materials is characterized by X-ray diffraction, Transmission electron microscope. The electrochemical utilization of manganese dioxide (MnO2) is investigated by cyclic voltammetry, galvanostatic charge discharge in aqueous 1M KOH electrolyte. Since very similar specific capacitance values of about 236 F/g at 5 mV/s is found for samples, MnO2 electrochemical utilization is more related to the pore size distribution as well as nanoroad size. The supercapacitor exhibits specific energy 5.18 Wh/kg and specific power of 242 W/kg. Introduction Results Coal 42% Natural Gas 21% Oil 5% Nuclear 14% Hydroener gy 15% Renewable 3% Coal Natural Gas Oil Nuclear Hydroenergy Renewable Global energy demand continuously increasing, fossil fuels are the major sources of electrical energy but are in limited amount so we need renewable energy sources. As renewable energy sources are not available round the clock, so energy storage is required. Figure 1. Source of electrical energy [1]. Supercapacitor Electric Double-layer Capacitors (Electrostatically) Activated Carbon Carbon Aerogels Carbon Nanotubes Pseudocapacitor (Electrochemically) Conducting Polymers Metal Oxide Hybrid Capacitors (Electrostatically and Electrochemically) Composite Asymmetric Battery-type Literature Review: MnO2 based Supercapacitors: qThe chemically fabricated metal oxides such as RuO2, MnO, TiO2, NiO, CoO, NiO, CuO, and composite materials are potential candidate for supercapacitor applications qRuO2 and MnO2 are the prominent electrode material due to higher energy density material with higher theoretical capacitance about 1450 and 1270 F g−1 respectively [2,3] qHowever, RuO2 suffers from being extremely expensive (5000/- @1g), not earth abundant, and somewhat toxic [4] qManganese exists in a variety of stable oxides (MnO, Mn3O4, Mn2O3 and MnO2) qAnother benefit of MnO2 is cheap material cost, plentiful in the earth’s crust, and environmentally friendly qThe charge storage capacity depends on crystal structure, surface area, porosity and intercalated cations. Grinding Magnetic stirring Hydrothermal reactor Oven Centrifuge Muffle furnace • For nanostructured MnO2, 2 gm of KMnO4 and 0.8 gm of Mn(CH3COO)2·4H2O) was added in the premixed solution of ‘5ml TEA ethoxylate and 50 ml double distilled water’ under magnetic stirring • The hydrothermal reaction temperature were kept at 110 °C for 12 hr to obtained MnO2 powder • Further, the as-synthesized precursor is calcined at 300 °C in the air for 6 hrs at ramping rate for 1 °C per min to get the final products Structural Parameter (110 OC) Number of space group