First Results of the 2021 FASER Calorimeter Test Beam Charlotte Cavanagh, University of Liverpool FASER is a new experiment at CERN designed to complement the LHC's ongoing physics programme, extending its discovery potential to light and weakly-interacting particles such as long-lived dark photons (A’). These are characterised by a signature with two oppositely-charged tracks or two photons with very high energy (∼TeV) that emanate from a common vertex inside the detector. The FASER tracker consists of 72 double-sided silicon microstrip modules. • A 150 GeV muon beam with approx. 3.5M tracks was used to study local alignment in middle layer of 1 station • Local x and y residuals before (after) alignment shown in red (blue) displaying the results after alignment • Global alignment results are in progress • The test beam saw efficient data taking with good overall beam quality and purity • The relative calorimeter response to different electron energies and MIPs (high energy muons) were measured • Tracking studies have provided local alignment results • Preliminary results have been compared to simulation and fair agreement has been found in terms of energy resolution • Raw calorimeter data has been analysed and corrected to account for pre-shower, improving resolution • Analysis continues as an ongoing process, more than 150 million events were recorded during the week of the test beam • Detector once again situated in TI12, ready for data taking during Run 3 Experiment The main aims of the 2021 Test Beam are: • Calibration of calorimeter using electron (5-300 GeV) and muon (150 GeV) beams, scanning through 24 spatial points across 6 modules • Study uniformity of MIP response and pion scan Setup consists primarily of the tracking stations, the preshower and the calorimeter. Test Beam Tracking Studies • When the pre-shower sees more charge, the calorimeter sees less charge • A correction factor was derived and applied to calorimeter energy measurements to account for this imbalance in charge • The resulting calorimeter response increases mean charge/energy deposition and improves resolution Pre-shower Correction Outlook A full simulation of the calorimeter system is implemented in FASER’s Calypso framework. • Specific test beam geometry designed to compare simulation to data • Crystal ball fitted to distributions to extract μ and σ, where σ is derived from width of crystal ball, converting to energy resolution (σ/E) allows for direct comparison (see table) Corrected data - includes pre-shower correction, removal of noisy channels, 5 + 10 GeV data points excluded (limit of beam) to further reduce resolution Raw data - no corrections, event selection applied to waveform, μ = deposited charge/beam energy Simulated data - no pre-shower correction, comparable to raw data, μ = fraction of energy deposited in calorimeter Previous LHCb results - 2004 test beam extending to 100 GeV, using same ECAL modules but without a pre-shower, comparable to corrected data Next stage: calibrate response of calorimeter in terms of energy. Calorimeter Performance Tracking stations = 3 Planes per station = 3 Modules per plane = 8 FASER is supported by: Errors on plot are too small to be visible at this scale. Test Beam setup and event display.


Kyung-Ae Park(1), Hye-Jin Woo(2), Sung-Rae Chung(3), Seong-Hoon Cheong(3), Byung-Il Lee(3) (1) Dep. of Earth Science Education, Seoul National University, Seoul, Korea, Email: kapark@snu.ac.kr (2) Dep. of Science Education, Seoul National University, Seoul, Korea, (3) National Meteorological Satellite Center, KMA, Chungbuk, Korea Geo-KOMPSAT-2A (Geostationary Korea Multi-Purpose Satellite-2A, GK-2A), which was launched successfully on 5 December 2018, is a second geostationary satellite of Korea, following on the Communication, Ocean and Meteorological Satellite (COMS). Advanced Meteorological Imager (AMI) on the GK-2A, which is quite a similar to the ABI of GOES-16/17 and the AHI of Himawari-8/9, has sixteen channels and has an overall wavelength range from 0.4 to 13 μm. The spatial resolution is 0.5 km or 1 km for the visible channels and 2 km for the infrared channels. The temporal resolution is 10 minutes for the full disk images. In this study, for operational GK-2A/AMI sea surface temperature (SST) retrieval, we developed SST algorithm using 8.7, 10.5, 11.2, and 12.3 μm channel data of Himawari-8/AHI as proxy data. In addition to cloud mask using the cloud detection algorithm, a quality control process of the estimated SSTs using real-time radiative transfer model data and climatology data was also applied for stable and accurate SST retrieval. The estimated SST is compared with the quality controlled GTS buoy temperature observation data. The daily, 5-day and 10-day SST composite data were produced based on the simple average method. In addition, daily blended SST composite data are also produced using retrieved Himawari-8 SST data, NOAA/AVHRR local area coverage data, microwave SST data from AMSR2 and GMI, drifter temperature data, and in-situ moored- buoy temperature data. Preliminary results of SST estimation from GK-2A data are presented. Algorithm Assessment and Error Characteristics STATUS OF ALGORITHM DEVELOPMENT FOR SEA SURFACE TEMPERATURE RETRIEVAL OF GEO-KOMPSAT-2A/ADVANCED METEOROLOGICAL IMAGER Summary and Conclusion • The GK-2A/AMI SST is basically retrieved using the multi-band (4 band) SST retrieval algorithm by default, and can be retrieved using the empirical regression SST algorithm and the hybrid SST algorithm optionally, depending on user demand. The retrieved SST does not represent the skin temperature; instead, it represents the temperature at a depth of approximately 20 cm, because the drifter data are used as in situ data. Therefore, it is reasonable that this retrieved SST is considered as the temperature between the skin and subskin layer. • At thermal infrared (IR) wavelengths, the SST can be retrieved only under clear sky. The accuracy of the satellite SST measurement is limited by the accuracy of sensor radiances, the quality of cloud screening, and correction for the effects of atmospheric absorption and scattering and surface reflection in the retrieval algorithms. GK-2A/AMI SST Retrieval and Validation  Period 1st Aug 2016 ~ 31st July 2017  Hybrid SST Positive bias (> 30oC)  Multi-band Positive bias (< 10oC) Fig. Comparison between (a) Hybrid SST and (b) Multi-band SST and in-situ measurements and distributions of (c) Hybrid SST and (d) Multi-band SST as a function of the in-situ SST. The color scale represent the percentage of the data. Fig. Time series of RMSE and bias of retrieved SSTs using static SST coefficients from 1 August 2016 to 31 July 2017. Algorithm Assessment using Proxy Data (Himawari-8/AHI)  Hybrid SST positive error (SZA <15o)  Multi-band SST SST error increase at the high SZA Fig. Spatial distribution of errors of (a) Hybrid SST and (b) Multi-band SST and distributions of (c) Hybrid SST and (d) Multi-band SST as a function of satellite zenith angle (SZA). Error Characteristics GK2A/AMI SST Retrieval GK-2A/AMI Himawari-8/AHI OSTIA Fig. An example of spatial distribution of retrieved SST from GK-2A/AMI data at 00:30 UTC on 1 April 2019. Comparison of GK-2A SST with ot


Faculty of Psychology and Neuroscience Fast quantitative T1-mapping at ultra-high field using inversion-recovery echo planar imaging Dimo Ivanov, Benedikt A Poser, Sriranga Kashyap, Martin Havlicek, and Kâmil Uludağ Maastricht Brain Imaging Center, Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands RESULTS/DISCUSSION • The generation of high-resolution distortion-matched quantitative T1 maps at 7 and 9.4 T using an optimized inversion-recovery EPI sequence is possible • Anatomical data that is geometrically identical to the functional data provides means to localize brain activations more accurately • M0 maps have proton density and T2 *-weighting and therefore offer complementary anatomical information especially in subcortical regions • The T1 values of grey and white matter increase at 9.4 in comparison to 7T • The inversion efficiency was at least 95% throughout the brains of all participants at 7T. At 9.4T comparable inversion efficiency was achieved in most of the brain except for regions around and inferior to the left basal ganglia. Parallel transmission[7] can be used to increase B1 in these areas • The presented approach allows high-resolution accurate quantitative T1 mapping in less than 6 minutes, which makes it also applicable for clinical studies, as changes in T1 have been linked to many neurological disorders • Further scan time reductions using simultaneous multi-slice techniques[8,9] are still possible INTRODUCTION • In a typical fMRI analysis, the results are displayed overlaid on an anatomical image • A good co-registration between the fMRI and anatomical data is essential to achieve accurate localization of function • The differing image properties (contrast, distortions) of both datasets pose a challenge for the registration and often lead to errors • Co-registration between functional and anatomical data is most important, but also most difficult, in high-resolution fMRI at ultra-high field (B0- and B1-inhomogeneities) • Ultra-high field (≥7 T) offers fMRI substantial benefits due to increases in signal-to-noise ratio and specificity[1] • The problem with co-registration between anatomical and functional data can be circumvented by acquiring distortion-matched anatomical images using inversion-recovery EPI with identical readout parameters • We demonstrate the feasibility of the approach at both 7 and 9.4 Tesla, utilizing recent advances in methods for fast quantitative T1-mapping[2] References [1] Uludağ et al. Neuroimage, 2009. 48:150-65 [2] Renvall et al. Proc. ISMRM, 2014. 22:4282 [3] Shajan et al. MRM, 2013 71:870-9 [4] Norris DG. J Magn Reson Imaging, 2000. 11:445-51 [5] Clare & Jezzard. MRM, 2001. 45:630-4 [6] Hurley et al. MRM, 2010. 63:51-8 [7] Bazin et al. Neuroimage, 2014. 93 Pt 2:201-9. [7] Grissom et al. MRM, 2006. 56:620-9; [8] Moeller et al. MRM, 2010. 63:1144-53 [9] Setsompop et al. MRM, 2012. 67:1210-24 CONCLUSION The approach presented delivers geometrically-matched reference for fMRI studies at ultra-high field and can be applied for tissue segmentation and brain morphometry. METHODS • 7T and 9.4T Siemens scanners with 32-channel (Nova Medical) and 31- channel[3] head coils, respectively • Five healthy volunteers (28±4 years old) participated after giving informed consent • The acquisition rapidly obtains several inversion times (TI) by placing EPI readouts following an inversion pulse and permuting the slice order each repetition[4,5] • The slice-order permutation was done stepping through several slices at a time according to the reordering scheme proposed in Renvall 2014[2] • The inversion was done using an optimized 10 ms tr-FOCI pulse[6], which achieves high inversion efficiency at ultra-high field despite B1- inhomogeneities and SAR constraints • Acquisition parameters: 1 mm3 isotropic resolution; TR/TIs/slices/step = 10 s/32/128/4; TE = 24 ms (7T) & 20 ms (9.4T); TA = 5 min 30 s • Quantitative M0, T1 and inversion eff


L = 1032 cm-2s-1 at 2 GeV Lpeak = 2*1031 cm-2s-1 at 1 GeV - DC — 1218 hexagonal cells with sensitive wires. σp/p — 1.5-4.5% for 200-1000 MeV/c, σdE/dx/dE/dx = 14%. - SC solenoid magnetic field 1.3 T. - LXe-calorimeter and CsI-calorimeter are in barrel part and BGO-calorimeter is in the end caps. - the vacuum pipe inside DC is made of 0.5 mm aluminum with 17 mm inner radius. - inner shell of the DC is made from CFRP and has 20 mm radius. Search for the decay ω→ηe+e- in η→π+π-π0 decay mode with the CMD-3 detector Budker Institute of Nuclear Physics, Novosibirsk, Russia — V. Mishin, on behalf of CMD-3 collaboration Events selection Abstract A set of selection criteria has been elaborated using Monte-Carlo modeling simulation (MC) to extract the ω→ηe+e- decay events. Using a data sample of 6 pb-1 collected in 3 central points in the energy range close to ω-meson invariant mass the upper limit on the branching ratio of decay has been estimated: B(ω→ηe+e-) < 5 ∙ 10-6, which does not contradict to the Vector Dominance Model (VDM) prediction: (2.0 – 4.8) ∙ 10-6. Preliminary results, further plans Secondary selection criteria To start signal events selection one has to determine charge particles types. Charge particles types are defined using kineamtic property of the decay, by a spatial angle between their tracks. Two tracks are leptonic, if the spatial angle between them less than 1.5 radian. The efficiency of such separating algorithm is 60% approximately. Difference in e/π ionization losses used as additional veto for selected events. Primary selection criteria These criteria have been used to extract the events with appropriate signature having good reconstructed tracks: 1. Transverse momentum is > 40 MeV / c; 2. Total momentum absolute value is < 470 MeV /c; 3. Minimal distance between every track and beam axis is < 1 cm; 4. A number of points on each track is > 10; 5. A track polar angle value is between 0,9 and π - 0,9 radian; 6. 4 charged tracks in event; 7. The total track charge is equal to zero; 8. More than one photon in the signal event. To suppress main background coming from decay ω→π+π-π0 with consequent π0 Daliz decay π0 →e+e- γ one has to investigate ω→ηe+e- kinematic properties. Two missing masses have been chosen to separate the signal events and main background. An event is the signal one in case if parameters matches corresponding regions. Deviation between the signal event parameters and corresponding Gauss curve means have to be less than 3 standard divergences. Additional feature of decays ω→ηe+e- and ω→π+π-π0 has been found in the dependence between π+π- and e+e- total momenta. This feature gives an extra oppotunity to separate signal and main background events, nevertheless, it also suppresses signal events by a half. However, this gives possibility to check, wether selected events are likely being the signal samples or not. Among all used experimental events 3 of them satisfied enumerated selection constraints. Only one of them has 2 photons, however, they are located in the region filled with dense background. Among all used experimental events 3 of them satisfied enumerated selection constraints. Only one of them has 2 photons, however, they are located in the region filled with dense background. Assuming all picked out events are background, the decay relative probability B(ω→ηe+e-) upper limit has been estimated: B(ω→ηe+e-) < 5 ∙ 10-6, which does not contradict corresponding VDM prediction (2.0 – 4.8) ∙ 10-6. Now we are going to modify described selection conditions to take into account Initial State Radiation (ISR). To enhance results objectivity we are going to apply blind-analysis method. To use it one has to choose two independent variables which have sharp prominent peak for the signal and quite flat or monotonous for the background. These variables are presented above. Width of each variable has been measured and blind-box size has been determined (3σ for each variable). All events into area will


HOMICIDE RATES IN BRAZILIAN STATE OF PIAUÍ: COMPARISON AMONG FOUR PERIODS: 1982-1990, 1991-1999, 2000-2008, AND 2009-2017. CONCLUSION: There was a significative increase in annual homicide rates over time, during period 1982- 2017, in PIAUÍ State, Brazil. A C Raimondi 1, A M Raimondi 2 1 Father Albino Integrated Colleges – Faculty of Medicine (FIPA - MEDICINE), Catanduva, São Paulo State – SP, Brazil; 2 AM Raimondi Medical Services Company, Ribeirão Preto, São Paulo State – SP, Brazil . INTRODUCTION: The aim of this study is comparing the homicide rates of Brazilian State of PIAUÍ, among four different periods: 1982- 1990, 1991-1999, 2000-2008, and 2009-2017 . References: [1] Gomes, F. P. (2000). Curso de estatística experimental. [2] Callegari-Jacques, S. M. (2009). Bioestatística: princípios e aplicações. Artmed Editora. [3] Raimondi, A. M. (2002). Dicionário fundamental de bioestatística. AM Raimondi.. DATA ANALYSIS: Data were provided from Brazilian government. The period 1982 to 2017 was divided into four equal periods of nine years each: 1982-1990, 1991-1999, 2000-2008, and 2009-2017. The Annual Homicide Rate (AHR) of State of PIAUÍ was calculated: AHR = LN[(H/N)*105)] AHR = Annual Homicide Rate, LN = natural logarithm, H = number of homicides per each year of period, N = number of inhabitants in the State of PIAUÍ in respective year. One-factor ANOVA procedure was employed to study the effect of levels (periods) on AHR. After ANOVA, a Tukey’s test (a≤0.05) was employed to comparing pairs of means by period. Table 2. One-factor ANOVA results: comparing period means of AHR, State of PIAUÍ, Brazil. RESULTS: Table 1. Statistical summary of AHR in four periods, State of PIAUÍ, Brazil. PERIOD N MEAN STANDARD ERROR OF MEAN 1982-1990 9 1.50 0.07 1991-1999 9 1.47 0.05 2000-2008 9 2.39 0.05 2009-2017 9 2.85 0.08 D.F. MEAN SQUARE F P PERIOD 3 4.17 118.06 < 0.0001 ERROR 32 0.04 - - TOTAL 35 - - - PERIOD 1982-1990 1991-1999 2000-2008 2009-2017 1982-1990 - - 0.89 1.34 1991-1999 - - 0.92 1.38 2000-2008 - - - 0.46 2009-2017 - - - - Table3. Significative differences* of means (AHR) between periods. *Evaluated by Tukey’s test (a≤0.05).


1. Mendapatkan komitmen dan dukungan terhadap inisiatif kesehatan dalam bentuk kebijakan, personel, pendanaan, fasilitas, akomodasi, partisipasi dalam kegiatan, dan banyak bentuk lainnya, tergantung pada situasi dan upaya. 2. Adanya pemahaman atau pengenalan atas kesadaran 3. Adanya ketertarikan dan minat yang sama 4. Adanya keinginan dan kemauan atas kepedulian atau kesanggupan untuk membuat dan menerima perubahan 5. Adanya Tindakan/perbuatan/kegiatan yang berbasis bukti 6. Adanya kelanjutan yang diharapkan 1 2 3 4 5 6 Kasus 18-356 1. Kami menyerukan kepada semua dosen untuk membuat dan mengembangkan Program Pemberdayaan Mahasiswa (PPM) berbasis bukti untuk mencegah masalah kesehatan mental di pendidikan tinggi. 2. Selama ada program, perlu dibentuk pendampingan dan ruang konsultasi pada setiap kelompok dan kelas untuk memberikan dukungan menyeluruh kepada mahasiswa yang menjadi sasaran utama. 3. Selain itu, untuk menciptakan lingkungan pendidikan yang bebas dari masalah kesehatan mental, kami menyarankan untuk menyediakan pendidikan promosi kesehatan di berbagai bidang. 1 2 3 IMPLEMENTASI Hal ini dapat dilakukan melalui kerjasama dengan institusi di lingkungan PTS/PTN sebagai upaya awal untuk mendukung dan berkolaborasi dalam pencegahan permasalahan kesehatan jiwa di perguruan tinggi DUKUNGAN ORIENTASI ORIENTASI KEBERHASILAN PENCEGAHAN KESEHATAN MENTAL DI LINGKUNGAN PERGURUAN TINGGI SWASTA/NEGERI (PKMPTS/PTN) DI JAWA TENGAH, INDONESIA 2021 2045 Yang di Harapkan adalah Terjadinya Penurunan Kasus Kesehatan Mental, Bunuh Diri, Percobaan, Depresi dsb Ardiansyah Jumaedi Nasir | Sulistyawati Suyanto Tujuan Utama 10 Provinsi Dengan Kasus Bunuh Diri Dari Data Tersebut, Jawa Tengah, Indonesia Urutan Pertama Komitmen Bersama


Open Science Conference 2020 - Call for Poster Presentations Driving institutional change for open, responsible research and innovation Abstract Open Science (OS) and Responsible Research & Innovation (RRI) seek to achieve a cultural change in our research environment. We are moving forward, but still Open Science and RRI seem not yet widely implemented. There is a gap between the actual and the potential role of open responsible research. In an extensive literature review, we analyzed what trends drive Open Science and RRI forward and what barriers prevent their wide implementation in the current system. To name a selection of critical trends, hyper-competition, increasing staff mobility and pressure, shrinking research funds etc. influence research practices negatively. These trends oppose the values of democracy, quality, self-protection, sustainability, technological innovation etc. which are driving RRI and Open Science. In addition, a comparison of different sectors and national contexts showed that indeed the variation across sectors is substantial: The type of research and stakeholder relationships is very important for the performance of RRI and Open Science. In particular, it matters how established or novel these sectors are. Whereas the differences in national settings seem to be less important for RRI and OS implementation. Building on this analysis, we conducted four case studies to observe how to deal with these findings to allow and support institutional change. Four institutions, including three universities and one company, conducted co-creation experiments: They engaged various internal and external interest groups in the design and implementation of a research project, e.g. by organizing focus groups, conducting interviews etc. This effort led to a RRI-model for the company, a brand new responsible research center at one university and an advanced approach to the implementation of ethics policies at another university. The findings on how institutions need to change their organizational frameworks to allow better embedment of responsible research and enable enhanced values for the quadruple helix actors (academia, industry, policy makers & society) are currently summarized. The result of this three-year work is a guiding document with recommendations on how to initiate and foster institutional change. These guidelines are complemented by a set of online courses to support different interest groups from academia and industry in initiating open and responsible practices. These include, but are not limited to, an introduction to RRI, RRI in industry, public engagement and ethics. The poster will present the main findings of our analysis and highlight the mutual learnings from the co-creation experiments. It will also present and refer to the online courses and guideline document as useful resources for the community to initiate institutional change.


Komparative Analyse der Einschlusskriterien für Journal Blacklisten und Whitelisten Michaela Strinzel, Anna Severin, Matthias Egger und Katrin Milzow Schweizerischer Nationalfonds Hintergrund •Journal Blacklisten (BL) und Whitelisten (WL) versuchen die Legitimität und Integrität wissenschaftlicher Fachzeitschriften zu bestimmen [1]. •Mit wachsender Bedeutung sog. Predatory Journals sind sie für Forschende auf der Suche nach geeigneten Journals zu zentralen Konsultationsstellen geworden [2]. •Obwohl ihre Objektivität und Reliabilität angezweifelt und dadurch ihr Nutzen in Frage gestellt wurde [3], sind die Listen bisher noch nicht systematisch analysiert worden. Ziel Systematischer Vergleich der Ein- schlusskriterien und Inhalte (Journals und Publisher) von Journal BL und WL: •Um ihren Nutzen als Indikatoren von Legitimität und Integrität wissenschaftlicher Fachzeitschriften zu verstehen •Um die Ansprüche an die Qualität und Legitimität wissenschaftlicher Fachzeitschriften aufzuzeigen und einzuordnen Methode Qualitative Kodierung und komparati- ve Analyse der 198 Kriterien von 2 BL (Beall’s List und Cabell’s Internatio- nal) und 2 WL (DOAJ und Cabell’s International) auf 3 Ebenen: •Gegenstand des Kriteriums: auf welchen Aspekt einer Fachzeitschrift bzw. Publikationspraktiken bezieht sich das Kriterium? •Auskunftsfunktion des Kriteriums: gibt das Kriterium Auskunft über (1) die Qualität, (2) die Transparenz, (3) die Legitimität oder (4) den Etablierungsgrad einer Fachzeitschrift? •Veriﬁzierbarkeit des Kriteriums: wie leicht lässt sich ein Kriterium veriﬁzieren? Vergleich der Inhalte der Lis- ten (Journals und Publishers) mit dem Jaro-Winkler Abstand und Darstellung der Überschneidungen in Form von Venn-Diagrammen. Ergebnisse Abbildung 1: Gegenstand der Kriterien Abbildung 2: Auskunftsfunktion der Kriterien Abbildung 3: Überschneidung der BL Beall’s List of Publishers und der WL DOAJ Listen Transparenz Qualität Etablierungsgrad Legitimität BL 3 2.4 2.5 2.1 WL 3 2.4 2 1.7 Tabelle 1: Veriﬁzierbarkeit der Kriterien unterschiedlicher Auskunftsfunktion im Mittel (bewertet auf einer Skala von 1=schwierig bis 3=leicht) Kontaktinformationen •Schweizerischer Nationalfonds: http://www.snf.ch •E-Mail: michaela.strinzel@snf.ch Erläuterung der Ergebnisse •Gegenstand der Kriterien Bei BL liegt der Fokus auf Geschäftspraktiken und Qualitätskontrolle von Journals; bei WL liegt der Fokus auf der Qualitätskontrolle sowie Richtlinien und Bestimmungen von Journals •Auskunftsfunktion der Kriterien BL: der grösste Anteil der Kriterien gibt Auskunft über die Integrität und Legitimität von Journals WL: der grösste Anteil der Kriterien gibt Auskunft über die Transparenz von Journals •Veriﬁzierbarkeit der Kriterien Im Schnitt ist die Veriﬁzierbarkeit der Kriterien gegeben, wobei es Unterschiede zwischen Kriterien unterschiedlicher Auskunftsfunktionen gibt. •Vergleich der Inhalte Die Überschneidung der Inhalte von BL und WL (hier anhand der Publisher in Beall’s List und im DOAJ aufgezeigt) ist relativ gering Schlussfolgerung Methodologisch scheint die Klassiﬁzie- rung und Gewichtung der Kriterien möglich. Inhaltlich, hinsichtlich des Ge- genstand eines Kriteriums sowie hin- sichtlich ihrer Auskunftsfunktion, er- gänzen sich die Kriterien von BL und WL und scheinen somit unterschied- liche Zwecke zu erfüllen. Das spie- gelt sich auch in der geringen Über- schneidung der Inhalte der Listen wider. Die systematische Klassiﬁzierung der Kriterien kann dazu dienen ein Set an Kriterien für die gesamtheitliche Betrachtung der Qualität, Legitimität und Transparenz von Journals zu deﬁ- nieren. Referenzen [1] Vence, T. (2017). On Blacklists and Whitelists. The Scientist. [2] Swauger, S. (2017). Open access, power, and privilege: A response to ’What I learned from predatory publishing.’ College & Research Libraries 78:11. [3] Olivarez et al. (2018). Format Aside: Applying Beall’s Criteria to Assess the Predatory Nature of both OA and Non-OA Library and Information Scie


Access to the tools & documentation: Widget Storybook: https://t.ly/Aad7- TS4NFDI repo: https://github.com/orgs/ts4nfdi/repositories TSS widgets repo: https://github.com/ts4nfdi/terminology-service-suite TS4NFDI: Harmonizing Terminology Services within NFDI Roman Baum1, Syphax Bouazouni2, Naouel Karam2, Oliver Koepler3, Pooya Oladazimi3, Julia Sasse1 1 ZB MED - Information Centre for Life Sciences; 2 Institut für Angewandte Informatik e.V. (InfAI); 3 TIB Leibniz Information Centre Goal: Terminology Services 4 NFDI (TS4NFDI) is a cross domain service for the provision, curation, development, harmonization and mapping of terminologies. It aims to facilitate consensus-building and interoperability of services across disciplines to achieve a shared knowledge representation and knowledge engineering framework. The service seeks to integrate and converge individual solutions into a standardized, interoperable, and sustainable Terminology Service Suite. Standardised, harmonised and interoperable access to Terminologies across all integrated Terminology Services, available for all NFDI-services via the Terminology Service Suite widgets or the API Gateway. 1 Interconnection of existing Terminology Services via a Service Wrapper. This allows for terminology use and management across disciplines, serving as a basis for terminology harmonisation efforts (Integration and Interoperability). 2 Javascript-based widgets that can be embedded in graphical user interfaces (UIs) to simplify UI development and visualization of semantic information in other NFDI services. This streamlines the process of integrating standard vocabularies and performing semantic annotation on data, as well as supporting the data discovery process. 5 SSSOM based Cross-domain Mapping Service to manage and provide mappings for terminologies as a central service. 3 Support of external terminology services as backbone is possible. 4 5 1 2 3 4 More information and contact details: Mail: ts4nfdi@lists.nfdi.de NFDI Rocket.Chat: https://all-chat.nfdi.de/ Channel: #ts4nfdi; join: https://all-chat.nfdi.de/channel/ts4nfdi About the project: https://terminology.services.base4nfdi.de/ Funded by DFG as part of NFDI. Grant Numbers: 521453681, 521460392, 521462155, 521463400, 521466146, 521471126, 521473512, 521474032, 521475185, 521476232 3rd Annual Conference 04.+ 05. Dec. 2024 KUBUS, Leipzig


ID #40; arXiv:2404.17559 amann16.iitr@gmail.com Investigating Quantum Decoherence in ν-Oscillation at ESSnuSB Experiment Author: Aman Gupta 1,2; Presenter: Monojit Ghosh 3 on behalf of the ESSnuSB collaboration 1Saha Institute of Nuclear Physics,Kolkata, India, 2HBNI,Mumbai, India,3Ruđer Bošković Institute,Zagreb, Croatia Introduction •Neutrino oscillation is a quantum mechanical phenomenon that arises due to the coherent superposition of neutrino mass states. However, if neutrino as a quantum system is coupled to an environment, the coherence between two or more propagating states may be lost leading to the suppression of flavour oscillations. •Such type of environmentally induced quantum decoherence (QD) in neutrino states might emerge from quantum gravity effects or space-time “foam” which acts as dissipative sources and can modify the ν-oscillation probability in various ways [1]. QD: Formalism The time evolution of neutrinos in an open quantum system is given by ∂ρ(t) ∂t = −i[H, ρ(t)] + D[ρ(t)] , (1) where H is the neutrino Hamilto- nian which can be written as H = 1 2E   U                    0 0 0 0 ∆m2 21 0 0 0 ∆m2 31                    U†   + VCC                    1 0 0 0 0 0 0 0 0                    . (2) The effect of decoherence is given by the dissipator matrix D which on imposing relevant physical con- ditions can be parametrized as D = −diag(Γ21, Γ21, 0, Γ31, Γ31, Γ32, Γ32, 0) . (3) The solution to the Eq.1 is given by ρα ij(x) = ˜U∗ αi ˜Uαje−(Γij+i ˜∆ij)x (4) and the oscillation probabilities in the presence of decoherence read as P(να →νβ) = Tr  ρα(0)ρβ(x)   (5) Here, ˜U is the modified PMNS ma- trix in matter and ˜∆ij = ∆˜m2 ijL 4E , with ∆˜m2 ij being the mass squared differences in matter. •L = 360 km, Water Cherenkov detector of fiducial volume 538 kt and 5 years run-time of neutrino + 5 years of antineutrino [2]. Oscillation Probability including Decoherence P(να →νβ) = δαβ −2 X i>j Re " ˜U∗ αi ˜Uβi ˜Uβj ˜U∗ βj #  1 −cos  2 ˜∆ij  e−ΓijL  + 2 X i>j Im " ˜U∗ αk ˜Uβk ˜Uβj ˜U∗ βj # sin  2 ˜∆ij  e−ΓijL , QD induces terms similar to damping phenomena of the form e−ΓijL in the oscillation probability. Fig.: Effect of Γ21 and Γ32 on the appearance probability for the ESSnuSB. •The Pµe probability is mostly affected by Γ21 in comparison to Γ32. •The effect of Γ21 is significant when δCP is −90◦. Important Analytical Formulae For maximal CPV, the relevant contributing terms for Γ21 and Γ32 are |P CP−odd µe | ∝|2α∆31(Γ21L −2 sin2 ∆31) −Γ21L sin 2∆31| . |P CP−odd µe | ∝|Γ32L cos 2∆31 + 2 sin2 ∆31| . For δCP = 0, 180◦, expression for CPV precision is given by: ∆δCP ∝ 1 |2α∆31(Γ21L −2 sin2 ∆31) −Γ21L sin 2∆31| ; 1 |α∆31Γ32L cos 2∆31 + 2α∆31 sin2 ∆31| . On the other hand, for maximal CP violation, we obtain ∆δCP ∝ 1 |Γ21L(cos 2∆31 + cos 2θ12) + 2α∆31 sin 2∆31| ; 1 |α∆31(1 −Γ32L) sin ∆31| . Bounds on Γ21 and Γ32 Other experimental bounds at 90% C.L. are [3, 4] Γ32 = Γ21 < 9.4 × 10−24 GeV [MINOS/MINOS+], Γ21 < 1.2 × 10−23 GeV [DUNE], Γ32 < 4.7 × 10−24 GeV [DUNE] . CPV Sensitivity & Precision 24.0 23.5 23.0 22.5 22.0 21.5 21.0 log10 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 2 (CPV) solid: true CP = + 90° dashed: true CP = 90° 21 when 32 = 0 32 when 21 = 0 21 = 32 For small Γ21, the sensitivity first slightly decreases and when the de- coherence term becomes dominant, the relevant probability increases along with Γ21, improving the sen- sitivity. 24.0 23.5 23.0 22.5 22.0 21.5 21.0 log10 0 1 2 3 4 5 6 7 8 CP[in deg.] solid: 21 when 32 = 0 dashed: 32 when 21 = 0 dot dashed: 32 = 21 true CP = 0° true CP = 180° 24.0 23.5 23.0 22.5 22.0 21.5 21.0 log10 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 20.0 CP[in deg.] solid: 21 when 32 = 0 dashed: 32 when 21 = 0 dot dashed: 32 = 21 true CP = + 90° true CP = 90° 2.24 cm Correlations Key Takeaways •For the first time, we explore the sensitivity of ESSnuSB to const


C How much am I exposed? Exploring public perceptions of EMF exposure from mobile communication technology and 5G B32 FB01 Sarah Link1, Marie Eggeling1, Ferdinand Abacioglu1, Christoph Böhmert1 1IU International University of Applied Sciences A B D E1 E2 F1 F2 G H I1 I2 RESULTS: Base Station Siting Initially, most participants (n=32) chose a location outside the village (locations 1, 3, 5, 6) A relative majority of participants (n=16) selected location 3 on the factory building Arguments for the initial choice: Distance from the reference point (n=13) Aesthetic aspects (n=12) Reception (n=8) Radiation only played a role in the choice of location for three participants After informing participants that for regular MP users individual exposure increases with increasing distance to a BS, about half (n=8) of those initially choosing a remote site (locations 5/6) changed to a location closer to the reference point. “I would then perhaps change to location 3. Well, [...] I didn't know that the transmission power would be correspondingly higher.” (male, 42, city) RESEARCH AIMS 1st Aim: Investigate in which situations lay people feel particularly exposed to EMFs emitted by MC/5G. 2nd Aim: Learn about people’s preferences for the siting of 5G emitting base stations, and about the reasons for these preferences. RESULTS: Exposure Perception Situations in which BSs were central were associated by 20 participants with a higher personal exposure than the mobile phone (MP) situations As reasons for their assessment participants referred to the BS as “abstract”, “the common enemy”, “hostile” or “ugly”. The MP, on the contrary, was perceived as “kind”, “familiar” or “something one enjoys”. A higher number of BS antennas was associated with a higher exposure For MPs 10 participants associated a higher number of distant devices with a higher exposure level than one close device The closer the mobile device is to sensitive body parts (head, reproductive organs), the higher the situation tended to be ranked 23 participants ranked at least one of the situations (phone call, phone in pocket) prior to an other MP situation For BS EP, participants tended to rank the 5G prior to the 4G situation (n=21) No relevant difference between Wi-fi, 4G, and 5G situations regarding MP EP Lay People’s Exposure Perception Quantity Data transfer Antenna vs. Phone Proximity to particular body parts Distance Duration Visibility Location Network type Change 4G 5G METHODS Structure: 35 individual interviews + 6 focus groups Sample: 18f/17m, mean age: 39y (range 18-67y) Variables assessed: sociodemographic variables, exposure perception (EP), base station (BS) siting preferences, further variables (see handout) Interactive tasks: Ranking task: Participants had to rank situations (see fig. 2) according to their EP Base station siting task: Participants had to select a BS site in a fictious scenario (see fig. 3) CONCLUSION Exposure to EMF is a subordinate factor influencing site selection and negative attitudes towards BS No evidence that 5G is evaluated / perceived significantly different than previous MC standards CONTACT Sarah Link, sarah.link@iu.org DISCUSSION Siting preferences are influenced by many factors EP depends on a variety of factors similar to other EMF sources (e. g., power lines) Dimensions and EP EP is higher for BS than for MP Proximity and quantity play a rather important role Network type seems to be irrelevant for MP EP Limitations: No complete variation of dimensions within the situations Difficult to attribute EP / results of the ranking task to a single criterion (such as 5G reception) Site selection partly in the interest of multiple stakeholders (not only related to reference point) Findings will be used to implement a quantitative online survey in multiple European countries Figure 1: Dimensions possibly affecting exposure perception Figure 2: Exposure situations used in the ranking task Figure 3: Results of the


https://webappsx.ugent.be/eventManager/events/DigitisingtheHumanitiesPleaseregisterhere Contactjulie.birkholz@ugent.beannemieke.romein@ugent.bettps://www.ghentcdh.ugent.be/dhresearchlabUniversiteitGent@ugent; @ghentcdhBringing transcriptions together –Transcription Network BE/NLThisjoint effort fromDutch and Belgium institionsis (soontobe) launchedtogathertranscriptionsand photo’sof archivalmaterialin Dutch. These couldbeusedtocreatemore genericmodelstobeabletodecyphertextsmore quicklyor buildmodelsforspecificeras. Ifyouhappen tohave or knowpeoplewhohave transcriptionsin Dutch fromanyperiod, do nothesitatetocontact Annemieke whocaninformyoufurther. The Dutch National Archivewillsupport thisproject witha part-timecoordinatorthatwillassist withfaciliatingtheuseof automatic transcritpionsoftwaresand platforms foranyresearch usingDutch languagemanuscripts. Workshops and training willalsobecoordinatedthroughtheDutch National Archive.The Scantentis a useful aid to scan documents with your phone (especially with the Android DocScan-app)


Sum Rear Tire Front Tire Lat. Acc + Yaw Rate Roll Acc. Roll Rate unstable stable Analysis of High speed instability of Weave Mode in Motorcycle by Using Energy Flow Method Hirotaka TAMOTO1, Tetsuya KIMURA1, Masayuki MIKI1, Tsuyoshi KATAYAMA2 1Fundamental Technology Research Division, YAMAHA MOTOR CO., LTD. Shizuoka, Japan 2New Mongol Institute of Technology, Ulaanbaatar, Mongolia Bicycle and Motorcycle Dynamics 2019 Symposium on the Dynamics and Control of Single Track Vehicles, 9 – 11 September 2019, University of Padova, Italy Degree of freedom in weave mode Real part of eigenvalue ∝1/m Imaginary part of eigenvalue ∝1/√m Characteristics of damped vibration system Equation of motion m 𝒙+ 𝒄 𝒙+ 𝒌𝒙= 𝟎 m 𝒄 𝒌 Eigenvalue 𝝀= −𝒄± 𝒄𝟐−𝟒𝒎𝒌 𝟐𝒎 Given the vibration system with one degree of freedom, Which degree of freedom is the weave mode? X Component : Proportional to real part of eigenvalue Y Component : Proportional to imaginary part of eigenvalue Eigenvector ×Coefficient 𝑋= 𝑦 𝜓 𝜙 𝛿 𝑌𝑓 𝑌𝑟 Eigenvectors normalized with yaw rate (Mf k2 +Irz + Ifx sin2ε+ Ifz cos2ε) 𝜓= - Mf k 𝑦1 -｛Mf jk-Crxz + (Ifz-Ifx)sinεcosε｝ 𝜑 -(Mf ek+Ifz cosε) 𝛿+｛ify/Rf+(iry+λi)/Rr｝ 𝑥1 𝜑 - Mf k 𝑥1 𝜓+ ify/Rf sinε 𝑥1 𝛿+ l1 Yf –l2 Yr Yaw system equation Unit vector of yaw rate The contribution to the stable direction of Sum ⇒Larger at 120km/h than at 200km/h Damping ratio (Real part) Frequency (Imaginary part) Only the Yaw system almost matches ! Main freedom of weave mode is Yaw system m 𝒙= −𝒄 𝒙−𝒌𝒙 ×1.1 Rear tire force that most affects the stability of the weave mode. The main reason why the rear tire force decreases is a phase delay. Cause of the phase delay is the decrease of the Yaw Rate coefficient. Main factor of the decrease in the Yaw rate coefficient is the increase in the vehicle speed. X-component divided Into Tire and Body X-component divided into Front tire and Rear tire 【Analysis using the Yaw system equation】 【Analysis using the Rear tire equation】 The change of Phase and Magnitude Sum Yaw Rate Lat. Velo. unstable stable The cause is CYs2 or 𝒙1 120km/h 200km/h Rate of change [%] 120.00 200.00 166.67 3.34E+03 3.65E+03 109.07 𝒙 1 CYs2 ※l2 is unchanged Change rate of CYs2 and 𝒙1 Main factor! Yr = －CYs2/ 𝑥1 𝑦1 ＋CYs2l2/ 𝑥1 𝜓＋CYc2φ Rear tire equation Lat. Velo. Yaw Rate Roll Angle Main cause Energy Flow Method (EFM) Analysis result Summary Introduction In this report, we investigate the cause of the decrease in the stability of weave mode in high speed region using Energy Flow Method. Rear tire gives most influence on the weave mode In Front and Rear tire, the ratio of Rear tire is larger The main factor determining stability is Energy Flow of tire Most of the breakdown of change is the delay in the Phase of the Rear tire Yaw Rate ⇒Reduction of coefficient Main factor of the decrease in the Yaw rate coefficient is the increase in the vehicle speed


An efficient, tunable solution for pre-capture multiplexing in targeted sequencing via novel chemistry and semiconductor DNA synthesis technology Irene Song, Raymond Miller, Jiashi Wang, Jianpeng Wang, Long Fan, Lumeng Ye, Hong Li, Heidi Huang Oligo Department, GenScript USA Inc., 860 Centennial Ave., Piscataway, NJ 08854 GenScript Tunable target enrichment by semiconductor technology GenScript CMOS Semiconductor electrochemistry T T T T TT T T T T TT Deprotected Amidite Electrochemical deblocking Electrode activated Electrolyte Solution Acidic Environment T T T T TT T T T T T T AAAAAA A A A A A A A Amidite Solution Coupling T T T T T T T T T T TT AAAAAA Wash Figure 3. GenScript used Semiconductor DNA Synthesis platform a) GenScript-CustomArray CMOS semiconductor chip b) Electrochemical synthesis of DNA oligo in transient micro-reactors c) NGS analysis concludes 99.7% coverage. Interdecile # < 2.5 Semiconductor technology offers a fast and cost-effective way to synthesize capture probes panel for target enrichment. Moreover, since the sequence and abundance of each probe on the chip can be precisely controlled, the panel performance can be evolved based on NGS data feedback. Figure 4. Comparison of semi-conductor based dsDNA hybridization probe panel with column-based ssDNA probe panel. ~8000 120nt probes covering a 600kb target region. Figure 5. Comparison of different technology. Semiconductor chip synthesized GenFisher custom hybridization probes panel provides better capture efficiency compared to other vendors’ panels using single-stranded DNA, RNA or inkjet synthesized double-stranded DNA. All data are average of two independent technical replicates. a b c Simplified pre-capture target enrichment workflow with TRUE Universal blockers 0% 20% 40% 60% 80% 6nt 8nt 10nt On Target Rate Universal Blocker Performance Universal blockers by novel chemistry To enable the maximum pooling potential of targeted NGS libraries, here we introduce a novel design and chemistry to hybrid capture blockers, an essential component in the experimental workflow to block the permissive interactions between library adapters and target probes, and adapters themselves, both of which lead to wasteful sequencing. The conventional blockers, whose sample index-matching portion uses either degenerate bases or universal pairing bases, depends on the length of the sample index for the libraries, dramatically impeding the flexibility of index-blockers pairing. Our new invention, GenFisher Universal Blockers, create a novel solution to the annealing between sample indexes on libraries and blockers regardless of the index length. Figure 6. GenFisher Universal blocker makes pre-capture pool easier a)GenFisher Universal Blocker uses novel chemistry to block indexes of different lengths. b)Hybridization capture by GenFisher Hybridization kit and Universal Blockers show similar on target rate regardless of index length c)1-plex vs 8-plex pre-capture pooling with and without Universal Blockers. Multiplexing has no effect on the efficiency of blockers. a) b) c) www.genscript.com 860 Centennial Ave., Piscataway, NJ 08854, USA Toll-Free: 1-877-436-7274 Telephone: 1-732-885-9188 Fax: 1-732-210-0262 Email: Irene.Song@genscript.com Figure 1. GenFisher 16hr Hybridization kit is compatible with both dsDNA probe and ssDNA probes. 1hr fast hybridization kit allows 1 day workflow for library preparation and target enrichment without compromising capture efficiency. All data without considering flanking regions when calculating on-target %. 50.00% 52.00% 54.00% 56.00% 58.00% 60.00% 62.00% 8-plex 12-plex 16-plex 24-plex Pre-capture pooling with GenFisher hybridization kit On target base % 56.1% 49.5% 36.7% 66.0% 66.6% 55.5% 0.0% 20.0% 40.0% 60.0% 80.0% Competitor W Competitor X Competitor Y GenScript Competitor Z GenFisher Hybridization kit 16hr On target base % High compatibility hybridization and wash kit with 24-plex pre-capture pooling Figure 2. GenFisher Hybridization kit


II Poster No. A-5 National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California www.nasa.gov Copyright 2015. All rights reserved. National Aeronautics and Space Administration Herschel Galactic plane survey of ionized gas traced by [NII] [ ] plays a significant role in star formation as it is produced only in ionized regions; in HII regions as well as diffuse ionized gas. The ionization potential of nitrogen (14.5 eV) is greater than that of hydrogen (13.6 eV), and carbon (11.3 eV), therefore the ionized nitrogen [NII] lines reflect the effects of massive stars, with possible enhancement from X-ray and shock heating from the surroundings. Motivation Results [NII] has two fine structure transitions at 122 and 205 µm. The two lines can be used to calculate the electron density and column density of N+, if one assumes that the emission from both transitions originate in the same gas and under roughly uniform conditions. [NII] detections are mainly toward the Galactic center. [NII] electron densities are found to be between 10 to 50 cm-3 (Fig. 2) and N+ column densities range between 1016 to 1017 cm-2. High densities indicate that the source of the emission is not the WIM (Warm Ionized Medium), which has densities 10-100 times smaller. Far infrared and sub-/millimeter atomic & ionic fine structure and molecular rotational lines are powerful tracers of star formation. Although CO lines trace cool to moderately warm molecular gas, ionized carbon [CII] produces the strongest lines, which arise from almost all warm (T >35 K) parts of the ISM. However,[CII] alone cannot distinguish fully ionized gas from weakly ionized gas. Methods Two far-infrared 122 µm and 205 µm [NII] fine structure spectral lines are observed via Photodetector Array Camera and Spectrometer (PACS) onboard Herschel Space Observatory. The sample consists of 149 lines-of- sight (LoS) positions in the Galactic plane, following those of the [CII] 158 µm observations obtained with the GOT C+ survey. PACS data have 5x5 spatial pixels therefore all 25 spectra are averaged to improve S/N, and that led to increase the number of detections in the averaged spectra. [CII] is the most important coolant of atomic hydrogen clouds and the photon dominated regions (PDRs) of molecular clouds and is widely used as a tracer of star formation. We found that [NII] measured with HIFI as well as PACS are linearly correlated with the [CII] emission. Fig 3: Position vs. intensities of [NII] and [CII] are shown through the Galactic plane. Fig 4: [NII] vs [CII] intensities shows tight correlation. Fig 2: Electron densities are shown as function of the position in the Galactic Plane. Galactic longitude (l) log I (W m-2 sr-1) # of LoS Int Ratio n(e) = 100 cm-3 n(e) = 50 cm-3 n(e) = 10 cm-3 n(e) = 1 cm-3 [NII] Fig 1: Histogram of intensities [NII] emission is highly correlated with that of [CII], implying that between 1/3 and 1/2 of the [CII] emission arises in the ionized gas. Possible origin of the observed [NII] include the ionized surfaces of dense atomic and molecular clouds, the extended low density envelopes of HII regions, and low-filling factor high-density fluctuations of the WIM. The pixel to pixel variation of the emission within a single Herschel pointing is relatively small, which is interpreted as the [NII] emission comes from an extended gas. N [NII] detections are mainly toward the Galactic center (intensity distribution shown in Fig. 1), but the opposite side of the Galactic center gives upper limits of ~4x10-10 W/m2/sr-1 for the 122 µm line and ~2x10-9 W/m2/sr-1 for the 205 µm line (Fig. 3). Principal Investigator: Umut Yildiz (3266) Paul Goldsmith (3266), William Langer (3200), Jorge Pineda (3266) It is important to quantify what fraction of [CII] emission arises in the ionized gas, to resolve the different parts of the ISM, leading to determine the total mass of the ISM.


Conclusion Outlook Introduction In materials science, the understanding of new materials is becoming increasingly complex. Without suitable data managing concepts, it will no longer be possible to handle the constantly growing amounts of data generated from simulations and experiments. The Karlsruhe Data Infrastructure for Materials Science (Kadi4Mat)[1] therefore presents a research data infrastructure that aims to resolve these challenges while taking the FAIR data principles[2]into account. Its functionalities can be summarised as a repository and an electronic lab notebook. Kadi4Mat Functionalities Kadi4Mat presents an ecosystem that encompasses different modules –Repository,Electronic Lab Notebook,Workflows,Ontologies, Machine Learning– which in sum create a FAIR research data infrastructure. Through its REST-API Kadi4Mat further offers defined interfaces for connecting it to other systems, allowing for the simple extension of the available functionalities. lars.griem@kit.edu www.iam.kit.edu/cms References [1] Brandt, Nico et al. Data Science Journal, vol. 20, 2021, p. 8. [2] Griem, L, et al. Data Science Journal, vol. 21, 2022, p. 16. [3] Sangya Pundir / CC BY-SA 4.0 KIT – The Research University in the Helmholtz Association Automated Documentation of Research Processes Using RDM L. Griem 1, R. Thelen2, M. Selzer 1 1Institute of Nanotechnology (INT-MSS), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany 2Institute of Microstructure Technology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany Ecosystem Micro gear Job ticket Green job ticket Batch number: 04552 602 Editor: see above Page: 1 of 2 IFA-Number: 11-935F-01F Provided parts, masks etc.: Manufacturing item: Object number: 05841 See FS02 Micro gear for demonstration Customer: Mustermann lfd.- Production process Speciﬁcations Amount Finished No. Production & test steps (e.g. AA, PA, Text etc.) in out Name, Date 1. Create job ticket and folder AA605.xx --- --- (MF-FVB) 2. Obtain job ticket and all provided parts AA605.xx (GL-FAF) 3. Take substrates of type SP403009.xx for the batch numbers: 1.) Batch No.:__________________ 2.) Batch No.:__________________ 3.) Batch No.:__________________ 4.) Batch No.:__________________ from the clean room storage and mark the wafer box. AA619.xx 4 4. Vapour deposition of metallic layers. AA653.xx Cr-Thickness: 5nm Au-Thickness: 15nm Current Documentation Implementation Automated Documentation The FAIR management of research data is undoubtedly an important step in accelerating scientiﬁc work. However, a signiﬁcant part of knowledge often lies not in the research data itself, but in the processes that led to its creation. Therefore, the research data infrastructure Kadi4Mat [1] provides, in addition to a data repository, a workﬂow editor [2] for process documentation and automisation. In combination, these modules allow the automated and FAIR documentation of scientiﬁc processes and the data generated within them. The implementation of such an automated documentation is illustrated through the example of the experimental production of microstructural components at the Institute of Microstructure Technology of the KIT. Introduction Conclusion Integrating the job ticket documentation into the research data infrastructure Kadi4Mat offers many beneﬁts. The job tickets can be quickly searched for speciﬁc parameters, equipment or processing facilitating the development of new production processes. Additionally, the user is interactively guided through the manufacturing process in the workﬂows. This not only ensures quality assurance but also helps new unexperienced employees to produce components eﬃciently. Main Takeaway The Kadi4Mat ecosystem offers the possibility to store and structure data and automise their documentation.This makes FAIR data handling effortless in everday research. KadiWeb Structured data management and exc


Archivieren am Data Center for the Humanities der Universität zu Köln Kontakt: info-dch@uni-koeln.de https://dch.phil-fak.uni-koeln.de CC-BY 4.0 Anke Debbeler (Camunda BPMN 2.0 Dia- gramm, Text), Felix Rau (Text), Elisabeth Mollenhauer (Lay- out) Stand: August 2024 (Version 1.0.0) https://doi.org/10.5281/zenodo.13375261 LAC DATA & METADATA CONVERSION PIPELINE Das Diagramm dokumentiert formal den Konvertierungsprozess, den Daten und Metadaten nach der Übergabe während der Ge- nerierung des Archival Information Package (AIP) durchlaufen, bevor sie ins LAC überführt und publiziert werden. Zur Datenübergabe gibt es mehrere Optionen: Diese hängen von der Datengröße und dem Zugang der Datengeber*innen zum Cloud-Service Sciebo ab, der vom DCH verwendet wird. Das LAC nutzt das Proﬁ l Basic Language Archive Metadata (BLAM) des ISO 24622-Standards Component Metadata Infrastructure (CMDI). Die Datengeber*innen liefern die Metadaten in einem auf das LAC angepasste Excel Sheet, das im Rahmen der AIP- Generierung in dieses Proﬁ l überführt wird. Die Architektur des LAC basiert auf dem Oxford Common File Layout (OCFL), für dessen Anforderungen die Ordnerstruktur der überreichten Daten angepasst werden muss: Eine für das LAC speziﬁ sche Besonderheit ist hierbei die Unterteilung eines Datensatzes (Collection) in mehrere Bundles. Ein Bundle ist in der Regel äquivalent zu einer Aufnahme(session), zu der jeweils eine Medien- und eine Annotationsdatei zugeordnet werden. Die Datengeber*innen haben die Möglichkeit, der Collection bzw. den Bundles zusätzliche Metadatendateien hinzuzufügen. Die Generierung des AIP ist Teil des LAC Depositing Workflow, dessen formale Dokumentation hier einsehbar ist: https://doi.org/10.5281/zenodo.13375243. Das Data Center for the Humanities (DCH) bietet über das Language Archive Cologne (LAC) die Sicherung und Publi- kation audiovisueller Daten an. Im Sinne der FAIR-Prinzipien (Findable, Accessible, Interoperable, Reusable) stellt das LAC einen offenen, webbasierten Zugang zu hochwertigen digitalen Sprachressourcen zur Verfügung. Als ein mit dem CoreTrustSeal (CTS) zertiﬁ ziertes Reposito- rium innerhalb der europäischen Common Language Resources and Technology Infrastructure (CLARIN) arbeitet das LAC nach dokumentierten Arbeitsprozessen, die Qualität und Integrität von Daten und Metadaten sichern.


Case study Climate Change : How Earth System Science benefits from FAIRCORE4EOSC components Anna-Lena Flügel1, Heinrich Widmann1, Beate Krüss1, Hannes Thiemann1, Stephan Kindermann1 , Fanny Adloff1 EGU General Assembly 2024, Vienna, Austria The European Open Science Cloud (EOSC) is an ecosystem of federated research data and services, and an open science infrastructure. FAIRCORE4EOSC (FC4E) supports a FAIR EOSC by developing nine new core components improving cross-domain interoperability. Challenges ●EOSC services need to be cost-effective, scalable, reliable, trustworthy and sustainable long-term ●Required adaption on ENES side to offer customized and easy-to-use services ●Technical incompatibilities due to different technologies and standards Requirements of Case Study ‘Climate Change’ Five thematic case studies drive the development of the FAIRCORE4EOSC (FC4E) technical components. DKRZ1 specifies the user requirements for the case study ‘Climate Change’ and works with the FC4E developers on the integration of several components into ENES RI. RAiDs (Research Activity identifiers) are being assigned to the CMIP6 project, providing an aggregated view on related entities (data provenance, software, people involved, etc). PIDGraph assigns DOIs to different aggregation levels of CMIP6 data, connects DOIs and RAiDs, links data collection metadata and makes it findable within the RD Graph. The EOSC RDGraph (Research Discovery Graph) enables advanced and cross domain data discovery and access for the ENES community and researchers from other scientific areas. MSCR (Metadata Schema Crosswalk Registry) improves cross-domain reuse of ENES data by mapping climate variable vocabularies to other ontologies. DTR (Data Type Registry) defines and registers standardized simple and complex data types and thus enhances machine actionability. 1 German Climate Computing Center (DKRZ, https://www.dkrz.de) Integration of FAIRCORE4EOSC components into ENES-RI Services Benefits ●improved interoperability and traceability of research activities ●enhanced discovery, access and reuse of data collections (FAIR) ●high scientific relevance for Earth system Science data producers and reusers Summary This poster gives an overview of the integration of five FAIRCORE4EOSC components into ENES RI and the long-term benefits for Earth System Science researchers and beyond. The use of FAIRCORE4EOSC components RAiDs, DTR, MSCR, PIDGraph and RDGraph improve discoverability, reusability and traceability of ENES data. Adaption of FAIRCORE4EOSC components for FAIR data management for Earth System Science within the case study ‘Climate Change’ ENES-RI ENES-RI is the research infrastructure for European Network for Earth System modelling (ENES), a collaboration of partners in climate modelling, climate impact research, IT and data management. The ENES-RI aims to ●deliver services to access climate model data ●develop tools to boost the understanding of future climate variability and change ●provide climate projections for policy decisions on mitigation and adaptation strategies, e.g. by the Intergovernmental Panel on Climate Change (IPCC) Anna-Lena Flügel fluegel@dkrz.de Acknowledgement This work has been funded by the European Commission under the projects IS-ENES grant no. 824084 (H2020) and FAIRCORE4EOSC grant no. 101057264 (HE) References FC4E https://faircore4eosc.eu ENES https://is.enes.org EOSC https://eosc.eu


Display of Results Running Taverna Workflows within IPython Notebook Alan Williams, Aleksandra Pawlik, Carole Goble, University of Manchester, UK Future Work Collation of provenance • The provenance of the workflow runs will be linked with the history generated by IPython Notebook Creation of Research Objects • Combine the IPython Notebook, the workflows and the linked provenance within a “Research Object” - http://www.researchobject.org/ Creation of documentation • Use IPython or dexy to generate reports about workflow runs Running the Taverna Player directly on the Taverna Server • The Taverna Player currently has to be within a Taverna Portal, or similar workflow registry. • In the future, Taverna Player will be extended to run directly against a Taverna Server • Will allow running of “arbitrary” workflows and allow them to be exposed in IPython Notebook Improved interaction • Allow the data entered in an interaction to come from values within IPython Notebook Teaching • Use the combination of IPython Notebook and Taverna to provide training materials Taverna Player • Allows Taverna workflows to be run as part of a website like embedding a video from Youtube • Uses Taverna Portal for user authorization • Reads workflows from a Taverna Portal • Runs workflows on a Taverna Server • Has a REST API Links IPython and IPython Notebook www.ipython.org The Taverna Player code on GitHub at www.github.com/myGrid/taverna-player The Taverna Player Client package at www.pypi.python.org/pypi/tavernaPlayerClient and the code on GitHub at www.github.com/myGrid/DataHackLeiden Taverna’s homepage at www.taverna.org.uk Acknowledgments This work was enabled by the BioVeL project, that has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 283359, and also enabled by the Software Sustainability Institute supported by the UK Engineering and Physical Sciences Research Council (EPSRC) through grant EP/H043160/1 Much of the work on the Taverna Player Client was carried out during the “Data enrichment hackathon” organized by pro-IBiosphere. Thanks are due to Ross Mounce of the University of Bath, UK and to Youri Lammers of Naturalis, Netherlands for their work on the client during the hackathon. Thanks are also due to the developers of IPython Notebook for their help and advise during the hackathon. Architecture Use Case The example notebook shows the running of a series of workflows for Ecological Niche Modelling (ENM), using the Taverna Player Client and the pandas and random Python packages. A file of csv data representing occurrences of species is read. 100 rows are selected at random for use in the Ecological Niche Modelling. A model is created and projected for the present day and for 2050. The results of the ENM are re-organized and then used as inputs to two other workflows: one to produce statistics and one to calculate the differences (climatic effects) between the projections. Client Creation Taverna Player Client • Uses Taverna Player and its Server to run workflows within an IPython Notebook • Data passed from the Notebook to the executing Taverna Workflows • Workflow run’s requests for data answered within the Notebook using Taverna’s interaction service • Results retrieved from the run and fed back into the Notebook • Available from the PyPi registry • Tested with BioVeL workflows for data refinement and ecological niche modelling. Interaction with Run Organization of Data Taverna Server • Runs arbitrary Taverna 2 workflows • Secure, isolated, user-specific workflow execution • Manages data for separate runs • Publishes interactions and provenance Use Case Introduction IPython Notebook, originally developed by Fernando Perez of University of Berkeley (where the core development team is currently based) is a browser-based environment for interactive computing. Users can write, edit and re-run Python scripts. IPython Notebook has suppor


An MPC Framework for Online Motion Planning in Human-Robot Collaborative Tasks Motion planners in human-robot collaboration must:  Be fast (online with sampling period of few ms)  Be optimal  Reactto the human state (and prediction) We propose a recedinghorizonframework thatruns online in less than1 ms and adapts the robot motion to the state of the operator. Main features: Stackof tasks(SoT) : Online trajectoryscalingto slow down the task whenthe operator isclose to the robot without modifying the path Redundancyisusedto keep the robot far from the human Robot constraintsare explicitly taken into account Marco Faroni Manuel Beschi Nicola Pedrocchi CNR-STIIMA marco.faroni@stiima.cnr.it Thanks to the trajectory scaling, the geometrical curve is preserved: when the human is closer than the safetythreshold, the trajectory is slowed down when the distance is below the stoppingthreshold, the trajectory reaches null velocities The plannerusesthe redundancy to keepthe robot farther from the operator whenthe human is in the robot workspace(blackline always above blue line) stopping threshold scaling activation threshold clearance activation threshold Experimental test case: Universal robot UR5 on a linear guide (7 degrees of freedom) Pick-and-place ripetitive cartesian task Limits on joint positions, velocities, and accelerations Human position is provided by 4 time-of-fly cameras The research leading to these results was partially funded by the European Union H2020-ICT-2017-1 – Pickplace: Flexible, safe and dependable robotic part handling in industrial environment (grant agreement: 780488). 1. CARTESIAN TASK 2. VELOCITY SCALING 3. CLEARANCE


Henning Lange-Asschenfeldt Response of assumed interfacial charge carrier turbulence in interconnected electrical conductors to thermal diffusion or gravitational force Section from circuit or particulate structure 1 2 Two-component design (e.g. Fe/Ni or Si/C, roughly schematic) 1 2 - A comparative view - Interfacial transition zone (ITZ) Original (unaffected) state (Dynamic polarisation site) Available heat consumption Minor support current Translocation of charge carrier turbulence Gravitational force particulate solid structure Summation effect in ? (regulated) (Attraction) Gravitoelectric effect 2 Proportionate intensification Heat supply Thermoelectric effect (Seebeck) 1 of charge carrier turbulence Poster contribution


Resistance breaking strains of tomato spotted wilt orthotospovirus: distribution and evaluation of their impact on tomato and pepper production Funding Non-competitive funding mechanism. Each funder only pays for the participation of their own national researchers. Total funding € 50 000 Picture 1 Picture 1 Picture 1 Goals The goal of the project is to investigate the tomato spotted wilt orthotospovirus’ genome differences between resistance breaking (RB) isolates from tomato and pepper and non-RB isolates of these hosts. This investigation seeks to clarify if previous reports of genome motifs responsible for RB phenotypes are universally present in RB isolates from geographically distant areas Research consortium DAF (AU), CREA (IT), NIB (SI) Contact information Project coordinator: Cherie Gambley Cherie.Gambley@daf.qld.gov.au Key outputs and results The expected project results are: • knowledge of the impact of resistance breaking isolates in Australia, Italy and Slovenia • a collection of geographically diverse, phenotypically and molecularly characterised, isolates of tomato spotted wilt orthotospovirus • knowledge of the virus genetics: clarification of the presence of the putative single amino acid changes at positions Y118 or N120 in the non- structural protein (NSm) gene in RB-tomato isolates or identification of alternative putative motifs responsible for the RB phenotype in tomato, pepper and weed hosts Objectives The project objectives are: • to collect and phenotype a range of tomato spotted wilt orthotospovirus isolates from pepper, tomato and other hosts including weed species from Australia, Italy and Slovenia • to generate full genome sequences of these isolates • to compare full genome sequences of RB isolates and non-RB isolates to identify differences that potentially confer the RB phenotype • to review diagnostic protocols for the detection of RB isolates on the basis of the newly derived genomic data 03/2021-02/2023


Metadata: Conditions data Handling Detector Characterization Data (Metadata) in XENONnT Conditions Data Processed Data Metadata Storage As an example, in XENONnT we needed to track crucial detector conditions like liquid xenon purity, which we monitor in terms of the electron lifetime. The electron lifetime determines the likelihood of electron absorption by impurities, thereby affecting energy reconstruction of interactions. How we calculate this value has changed over time so we needed to keep track of these multiple methods via different versions. Red: 222Rn alpha, Blue: 83mKr, green: 37Ar. Including the condition by charge up Electric ﬁeld model. Gray band is the measurement by purity monitor, with systematic uncertainty. RFrame is a metadata framework that offers indexing features, similar to Pandas dataframes, but can operate on multiple storage backends. The goal of RFrame is to provide the following properties: ● Support for multi-indexing using discrete or continuous values, allowing for complex data structures to be easily represented. ● Checking and enforcement of values and index data types to ensure data integrity and consistency. ● Arbitrary rules for reading and writing to the database, giving developers ﬂexibility in how they interact with the data. ● Support multiple data access storages. ● Python functions can be used to insert, delete, and modify data, allowing for easy integration with existing codebases. Xedocs was built based on RFrame and it handles the XENONnT speciﬁc needs for metadata management. At its core, xedocs consists of a collection of schemas that deﬁne the rules that different kinds of metadata need to follow. Base corrections Time sampled Time interval Base resource reference Map corrections Example: Electron Lifetime By: Luis Sanchez, Rice University, USA Yossi Mosbacher, Weizmann institute of science, Israel Aaron Higuera, Rice University, USA Christopher Tunnell, Rice University, USA RFrame Xedocs JSON Mongo Tinydb Our processing pipeline uses global versions, which is a list of lineages specifying the version of all the conditions metadata used to process a set of data. The conditions metadata can be separated into 2 broad categories: ● ONLINE version: Updated periodically and allows for extrapolation of values. Values here can only be changed in the future in terms of the time index. ● OFFLINE version: Allows for interpolation when processing a data segment with values before and after the time the data was taken. Ofﬂine versions can become obsolete as they are replaced with new versions. Raw Data Processing Pipeline Experiment Links To code: ●https://github.com/jmosbacher/rframe ●https://github.com/XENONnT/xedocs Experiment Monitoring Tools Manual Inputs - Version indexing - Time indexing - Updating rules - Other conditions metadata dependent requirements xarray API ODM API Has its own versioning system Pandas df Lists Dicts - _Alias attribute is always unique - Schemas include a versioned index - Changing already set values is not allowed - Adds an interpolation index of type datetime - Enforces rules on inserting new data points - Adds an interval index of type datetime. - Enforces rules on updating intervals. - Requires existence of resource in a database prior to inserting a new document - Requires an ‘algorithm’ index of type string. These schemas can be used to deﬁne the different kinds of conditions metadata we need and are built inheriting for the previous one. API’s Data backends In memory datatypes Many experiments have their own system to store, organize and track conditions data, but in many cases it is not possible to copy the system of another experiment due to how specialized to their experiment this system will be. In XENONnT we developed an open source tool in python to facilitate conditions data management and storage, which we call rframe and xedocs. We needed tools to handle versioned and time-indexed conditions data, as well as to impose rules regarding how the va


Rapid “mix-n-match” evolution of a housekeeping protein in response to bacterial antagonism EmilyClare Baker ¹, Kristin Kohler¹, Matt Barber¹ ¹University of Oregon Institute of Ecology and Evolution Based on PAML⁵ analysis of CEACAM proteins from 19 hominid, Old World Monkey and New World Monkey primates. The CEACAM protein family⁴ A multifunctional cell adhesion family in vertebrates N domain (IgV-like) IgC2-like domains* TM Cytoplasmic domain protein-protein binding domain includes ITIMs and other signaling motifs* (*presence and composition variable) *Number varies from 0 to 6 between different proteins and isoforms CEACAM protein domain structure Several bound by bacteria • CEACAM1 • CEACAM5 (CEA) • CEACAM6 • CEACAM3 Functions include... • Cell adhesion • Intra- and Intercellular signaling • Immune function • Cell cycle modulation CEACAMs 1, 5 & 6 • strong markers of cancer progression and prognosis • expressed on epithelia (esp. gastric) and immune cells • housekeeping proteins involved in cellular signaling CEACAM3 • expressed on immune cells • likely a dedicated immune protein Region bound by bacterial adhesins CEACAMs bound by bacterial adhesins the most rapidly evolving in primates • niche construction • immune evasion Bacterial adhesin proteins can exploit cell surface proteins for...⁴ • movement through the host Potentially decreasing host fitness bacterial adhesin – host protein interactions Consequences of evolutionary conflict between pathogens and host ‘housekeeping genes’ • Pathogen antagonism is predicted to lead to an ‘evolutionary arms race’ – characterized by rapid evolution host and bacterial proteins. Model of bacterial adhesin host protein evolutionary arms race 1 Bacterial adhesin is unable to bind to the host epithelial protein 2 Pressure to manipulate host drives evolution of bacterial adhesin to bind host protein 3 Pressure to prevent exploitation favors evolution of host protein away from adhesin binding 4 Pressure to evolve shifts back to the bacterial adhesin If and how housekeeping genes can evolve against pathogen exploitation is unclear. How host ‘housekeeping’ proteins can evolve to evade pathogen exploitation and maintain essential functions is an open question. Sites under selection are concentrated in the N-domains* domain targeted by bacterial adhesins * based on NS-sites analysis in PAML HopQ CEACAM1 N-domain Some sites under selection localize to interface with H. pylori HopQ Highlighted sites indicated as under selection by phylogenetic analysis programs PAML, FEL⁶ and MEME⁷ Bonobo CEACAM1 N-domain is unable to bind HopQ and has unusually divergend protein sequence 1. Correa P, Piazuelo MB. Evolutionary history of the Helicobacter pylori genome: Implications for gastric carcinogenesis. Gut Liver. 2012;6: 21–28. doi:10.5009/gnl.2012.6.1.21 2. Ishaq S, Nunn L. Helicobacter pylori and gastric cancer: A state of the art review. Gastroenterol Hepatol from Bed to Bench. 2015;8: S6–S14. 3. Javaheri A, Kruse T, Moonens K, Mejías-luque R, Debraekeleer A, Asche CI, et al. Helicobacter pylori adhesin HopQ engages in a virulence-enhancing interaction with human CEACAMs. Nat Microbiol. 2016;17: 16189. doi:10.1038/nmicrobiol.2016.189 4. Gray-Owen SD, Blumberg RS. CEACAM1: Contact-dependent control of immunity. Nat Rev Immunol. 2006;6: 433–446. doi:10.1038/nri1864 5. Yang Z. 2007. PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 24:1586–1591. 6. Kosakovsky Pond SL, Frost SD. Not so different after all: a comparison of methods for detecting amino acid sites under selection. Molecular biology and evolution. 2005 May 1;22(5):1208-22. 7. Murrell B, Wertheim JO, Moola S, Weighill T, Scheffler K, Pond SL. Detecting individual sites subject to episodic diversifying selection. PLoS genetics. 2012 Jul;8(7). 8. Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst


Demobase: DEsign and MOdelling for improved BAttery Safety and Efficiency Headline Converging the efforts of the GV7 call, which is addressing efficiency and cost reduction on the integration related aspects of motors, power electronics and transmission, DEMOBASE aims at the generation of the necessary tools and technology solutions that will drastically reduce price differences between conventional and electric vehicles while assuring much lower operational cost, higher efficiency, higher availability, increased driving range as well as improved comfort and attractiveness. In DEMOBASE, cost reduction activities, higher car performances and availability, mainly on the key battery system component, will be achieved through incremental and breakthrough research activities and demonstrated in a dedicated demonstration vehicle. The EV demonstration focuses on the sector of electro-mobility with the highest growth, i.e. four wheels urban vehicles. These activities will be supported by highly advanced multi- level and multi-domain simulation. A key aspect will be gateway development to ensure the seamless process effectiveness for a variety of software environments. Specific objectives: • Cost reduction of batteries: will be tackled by a seamless development chain with drastically reduced development time and costs, enabling as an additional benefit also faster integration of new cells. An innovative seamless development process from cell and from active material to vehicle using multi-level modelling integrating battery management, ageing, safety, recycling and availability will cut down development time by at least factor 2. • Cost reduction of chassis: The methodology developed with the FP7 PLUS MOBY project ended December 2016 will be further advanced in DEMOBASE making it (ubiquitous) parametric and applicable to most vehicle categories. DEMOBASE will develop and demonstrate breakthrough methodology that allows the design and development of novel safe chassis in less than one tenths the usual time and at a small fraction of the usual cost. • Battery safety: improved without additional expense, battery risks will be addressed by a fail aware concept to ease vehicle fleet management. DEMOBASE develops new safety approach based on tests at cell level and innovative battery model to manage fire risk, gas flammability, gas toxicity at vehicle level. • Battery availability: The new battery system functionalities make it immune to thermal runaway events. Residual fire or thermal runaway risk will be managed inside the vehicle without stop of service, which is the today’s standard fail safe management, with fail operational concept supported by specific battery architecture and innovative safety components. • Accelerated battery ageing modelling: Innovative characterization technics are used to develop battery ageing models within 4 months. • Battery recycling as part of the process: To close the life cycle, tools and recommendations for safe and efficient recycling will be elaborated. DEMOBASE develops End to End safety activities from active material to recycling where recycling is part of the overall development process. Moreover the novel approach for chassis design leads to radical reduction of the large quantity of adhesives currently used in the automotive world, easies disassembling of the elements composing the full vehicle; it is another mind shift in auto world. This will reduce the recycling costs by up to 25%. • Radical reduction of the necessary investments: Process capability for a variety of different vehicle architectures derived from a single chassis will be demonstrated. • Scalability of design for both vehicle and battery system: a parametric methodology to design and developed batteries and a new chassis will be demonstrated for different vehicle classes. • The efficiency of e-drivetrains under real conditions will be increased by 20%. For this purpose, the project will develop and demonstrate wheel-tire design wit


t Funded by the Horizon 2020 Framework Programme of the European Union THIS PROJECT HAS RECEIVED FUNDING FROM THE EUROPEAN UNION’S HORIZON 2020 RESEARCH AND INNOVATION PROGRAMME UNDER GRANT AGREEMENT NO. 818309 (LEX4BIO). THIS OUTPUT REFLECTS ONLY THE AUTHOR’S VIEW AND THE EUROPEAN UNION CANNOT BE HELD RESPONSIBLE FOR ANY USE THAT MAY BE MADE OF THE INFORMATION CONTAINED THEREIN. Plant nutrient and harmfull heavy metal concentrations in agricultural soils of EU27 and UK Kari Ylivainio1, H. Eigner3, S. Geyer3, A. Skyttä1, L. Jauhiainen1, A. Delgado4, A. Jones5, J. Santner2 1Natural Resources Institute Finland (Luke), Jokioinen, Finland, 2Department of Crop Sciences, Institute of Agronomy, University of Natural Resources and Life Sciences, Vienna, Austria, 3Agrana Research & Innovation Center GmbH, Tulln, Austria, 4University of Sevilla, Spain, 5Joint Research Center (JRC), Ispra, Italy Introduction Farm-to-Fork strategy aims to reduce nutrient losses by 50%, which is expected to decrease the requirement for fertilisers by 20% by the year 2030. To reach these ambitious targets, it is of utmost importance to know the nutrient status of agricultural soils for optimising fertilisation according to crop requirement. Furthermore, substitution of mineral fertilisers with bio-based fertilisers (BBF) reduces the need for finite phosphorus (P) resources and production of energy intensive mineral nitrogen (N) fertilisers. However, BBFs may contain other elements than only desired plant nutrients. Therefore, both nutrient and harmful heavy metal concentrations in BBFs and agricultural soils needs to be known in order to select technologies for producing safe BBFs for ensuring food and feed safety. Material and methods In this study, a sub-set of soil samples from the LUCAS soil sample archive, collected in 2015 (https://publications.jrc.ec.europa.eu/repository/handle/JRC 107926), were analysed for their soluble elemental composition. The selection of soil samples from the EU27+UK was based on proportional allocation with the following criteria: soil pH, carbonate content, texture, organic carbon content, and Olsen-P values. A total of 1,661 soil samples from cropland (out of 9,246 samples) were selected and soluble concentrations of P, K, Zn, Cu, Pb and Ni were analysed with the electro-ultrafiltration (EUF) method . Results Soluble P concentration varies greatly across Europe with highest concentrations in western Europe (Fig. 1) Soil K concentrations are evenly distributed in Europe Highest concentration of Zn follows the same pattern as P High Cu concentrations were found from the Mediterranean region. Highest average Pb concentrations were found from the western Europe, whereas Ni concentration were more elevated in the eastern Europe. Conclusions  Requirement for P fertilization varies across Europe and high soil P and Zn concentrations are found in regions with high animal density  Concentration of soil Cu high in regions with vineyards and orchards, probably originating from pesticides  Soluble Pb concentration follows the same trend with Zn, whereas high Ni concentrations may be due to indigenous soil properties  Due to the variation in soluble elemental composition of agricultural soils in Europe, properties of BBFs needs to match to local soil conditions in order to secure food and feed safety and minimize environmental losses Figure 1. Soluble P, K, Zn, Cu, Pb and Ni concentrations in European croplands (EU27 + UK) according to the EUF-method


Filter Testing Services for Pharmaceutical and Medical Device Manufacturers STEMart, a US-based provider of comprehensive services for all phases of medical device development, has announced the launch of its new Filter Testing Services for pharmaceutical and medical device manufacturers. These services are designed to help manufacturers ensure the safety and efficacy of their products by verifying the performance of filters used in the manufacturing process. Filtration sterilization is an important unit operation in the aseptic manufacturing process. It requires proper process validation to verify the performance of the filters used for sterilization filtration. Filter testing is used to evaluate a filter's ability to separate microorganisms of various sizes and helps manufacturers determine membrane pore size. This test is also an excellent batch release test. Test data can also be used as an effective marketing tool. STEMart provides comprehensive facility and process validation for medical devices. With extensive expertise in Filter Testing, STEMart can provide a full service experience to assist manufacturers in meeting regulatory goals and minimizing compliance risks. The comprehensive Filter Testing services are guided by "Sterile Drug Products Produced by Aseptic Processing - Current Good Manufacturing Practice", the FDA guidance document for industry, which outlines the general considerations the FDA believes should be taken into account when performing filter testing for a medical device. STEMart offers a wide range of Filter Testing services. For example, Retention Capacity and Filtration Efficiency Test demonstrates the filter's ability to remove all bacteria from a liquid bacterial suspension under specified conditions according to ASTM 838-05. Validation of the filtration process takes into account all factors that may affect the performance of the filter, such as pH, viscosity and compatibility of the material being filtered with the filter, flow rate, pressure, temperature, and hydraulic shock. Filter Extractables Test identifies and quantifies compounds that have the potential to become leachables. Suitability Test verifies that the filter meets all requirements under product and process conditions, including, but not limited to, resistance to high temperatures, resistance to fatigue under pressure and flow changes, and resistance to high pressure changes. Based on ISO 10992 and ISO 18562 standards, FDA guidelines, ASTM (American Society for Testing and Materials) standards and other international guidelines, STEMart's experts have many years of experience in a wide range of testing services for Class I, II and III medical devices and can help clients ensure that every aspect of the medical device is properly tested. If you have additional questions about Filter Testing or would like to find out more


Estimating Mutation Parameters and Population History Simultaneously from Temporally-Spaced Genome Data Arman Bilge, Tanja Stadler, Matthew Kearse, and Alexei J. Drummond email: abil933@aucklanduni.ac.nz Estimating Mutation Parameters and Population History Simultaneously from Temporally-Spaced Genome Data Arman Bilge, Tanja Stadler, Matthew Kearse, and Alexei J. Drummond email: abil933@aucklanduni.ac.nz Motivation and Primary Challenges ▷Very feasible to sequence entire genomes ▷More recently, even possible to recover ancient genomes ▷Temporally-spaced genome data ▷Opportunity to do inference previously only possible for fast-evolving organisms (e.g., viruses) ▷mutation rate ▷population size through time But. . . ▷Diﬃcult to phase diploid genomes ▷Recombination ▷Low coverage and sequencing error, especially for ancient genomes ▷Cannot use existing Bayesian phylogenetic methods Sequencing Depth and Error ▷Assume that all individuals have about same number of SNPs ▷Average sequencing depth of sample is correlated with observed SNPs ▷Our dataset approaches complete SNP recovery at 22x coverage ▷Ancient genomes are sequenced at lower depth and thus missing many SNPs ▷Leads to systematic bias in estimates 4 8 12 16 20 24 28 4 4.5 5 5.5 6 6.5 7 ·106 Average Depth Recovered SNPs Overview of Methodology ▷Want to estimate mutation and population parameters θ from pileup data ▷pileup data is unsummarized, aligned reads for each sampled individual ▷To compute posterior need to marginalize over individual’s genotypes ▷Computationally intractable so use importance sampling ▷The importance distribution assumes independence of individual’s genotypes P (θ | D) = X G P (θ | G) P (G | D) = lim n→∞ n X i=1 P  θ | G (i) P G (i) | D  ˆP G (i) | D , G (i) ∼ˆP (· | D) ▷Finally, use standard MCMC to sample parameters for a given genotype P (θ | G) ∝P (G | θ) P (θ) Sampling an Individual’s Genotype ▷Want the genotype g1, g2 ∈{A, C, G, T} of individual at a position in its genome ▷Data is the observed base calls at this position with their Phred quality scores D = (bq : b ∈{A, C, G, T} , q ∈N) ▷Number of base calls |D| is the sequencing depth at this position ▷Sample genotype from the posterior distribution P (g1, g2 | D) = P (D | g1, g2) P (g1) P (g2) P (D) ▷To compute P (D | g1, g2) assume base calls are multinomially distributed with probabilities P (bq | g1, g2) = 1 2P (bq | g1) + 1 2P (bq | g2) ▷Using the deﬁnition of a Phred quality score (assuming equal error rates for all bases) P (gi | bq) = ( 1 −10 −q 10 ifb = gi 1 310 −q 10 ifb ̸= gi we have P (bq | gi) = P (gi | bq) P (bq) P (gi) ▷Use empirical estimates for P (gi) and P (bq) Genotype Probability ▷Assumes that sites are unlinked; i.e., phylogenetically independent ▷Models recombination with no dependence on correct phasing ▷Assumes a site is biallelic; i.e., has only two possible nucleotide states ▷Often true in practice ▷Can be handled rigorously with ascertainment bias correction ▷Want the probability of all the individuals’ genotypes by marginalizing over all phylogenies P (G | θ) = Z T P (G | T, θ) P (T | θ) dT ▷Integral is computed numerically using similar technique to SNAPP [2] ▷Divide time into intervals using sampling times and population change times ▷Each interval i can be described by a linear system of diﬀerential equations Qi ▷Solve each system by taking the matrix exponential exp Qi [1] ▷Can be done eﬃciently by caching and reusing matrix exponentials Simulation Study ▷8 diploid taxa, including 4 ancient individuals up to 50k years old ▷Mutation rate µ = 10−9 s/s/yr ▷HKY model with κ = 5 ▷Constant size population with Ne = 3 × 106 ▷Simulated 50 datasets of 104 total sites ▷Attempted to infer parameters ▷True values always within 95% HPD ▷Mean ˆµ within ±1.8 × 10−10 of true µ G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G G 0e+00 1e−09 2e−09 3e−09 0 10 20 30 40 50 replicates Mean Summary ▷Fully Bayesian inference of mut


An assessment of potential Plato Observing strategies to maximize science return from the Kepler Field. J.F. Rowe, D. Jontof-Hutter, J. Lissauer Bishop’s University, University of the Pacific, NASA-Ames The Plato Mission has the unique capacity to provide long-base observations of thousands of stars and their transiting planets. The current mission plan includes a 2-year stare than includes the Kepler Field. Plato observations have the potential to improve science return from the Kepler field. Including, the reliability of Kepler planet candidates in the low S/N regime, detection of long-period planets and an overall improvement of exoplanet occurrence rates and transit timing variations and long-term stellar variability and stellar cycles. The low S/N transit regime includes potential Earth-sized habitable zone planets around Sun-like stars, which is of high intellectual interest. Abstract Kepler Planets Plato detection SNR in the Kepler Field The baseline Plato mission includes a 24 month continuous stare that includes the Kepler Field. Due to orbital constraints, the Kepler is located towards the periphery of the Plato FOV and will be covered by 6 - 12 cameras. This is roughly equivalent to 1/8 to 1/4 of the Kepler light gathering ability. Figure 2, shows an estimate of the expected SNR of a planet transit in the Kepler Field observed by Plato. Of note, is the very low SNR recovery of long-period planets with a radius less that ~ 4 R⊕. Figure 3 shows the hypothetical scenario of observing the Kepler Field, but centred in the Plato FOV. Note, this configuration is not possible. However, by centring the FOV, there is an overall increase in transit SNR recovery which greatly benefits planets smaller than 4 R⊕. Figure 4 shows our proposed observing plan which would centre the Kepler Field, and to break the observing campaign into four 6-month campaigns. This gives the benefit of more Plato Glass on the Kepler field, but extends the observing baseline to 4- years, which allows for recovery of approximately half of Kepler’s long-period Earth-sized planets. Notice the significant increase in SNR for planets with periods greater than 300 days and radii less than 4 R⊕. Figure 1 shows the average SNR per transit vs orbital period and radius. The average SNR generally increases with radius. Trends associated with period are a result of the Kepler mission requiring a total SNR ≳ 7.1 for candidate selection, thus few transits requires a large average SNR per transit for detection threshold. Figure 1 Figure 3 Figure 4 Also: see Talk by J. Lissauer and Poster by D. Jontof-Hutter Figure 2


Meta The case: Nanocatalytic powders as coating in automotive industry Cu/Pd/Rh doped on Ce/Zr mixed oxide Nanosized copper-based catalyst for automotive: physicochemical characterization. A. Soto Beobide1, A. M. Moschovi2, G. N. Mathioudakis1, M. Kourtelesis2, Z. G Lada1, K. S. Andrikopoulos1,3, L. Syggelou1, V. Dracopoulos1, I. Yakoumis2, G.A. Voyiatzis1 1 Foundation for Research and Technology / Institute of Chemical Engineering Sciences FORTH/ICE-HT, Patras, Greece 2Monolithos Catalysts & Recycling Limited, Athens, Greece 3Department of Physics, University of Patras, Patras, Greece * E-mail address of presenting author: asoto@iceht.forth.gr I) Outline In the automotive industry, catalytic devices accumulate concentrated loading of platinum group metals (PGMs, platinum, palladium, rhodium) as the active catalytic phase. The aim of MONOLITHOS Catalysts Ltd is the partial substitution of an amount of PGMs (mainly platinum) with abundant non-PGMs (transition metals). Several efforts have been made to use transition metals as substitutes and among them copper seems to be one of the best. PROM100 “fresh”: catalyst that has not been used at all PROM100 “aged”: artificially aging by submitting to hydrothermal (10% water) heating at 1050 oC for 4h. EU Directives for simulating more than 60,000Km of mileage of a car. Rama II) www.iceht.forth.gr Nanotechnology is conceived as a Key Enabling Technology, becoming an increasingly research area providing functional materials to many industrial sectors, such as automotive, health, packaging, textiles, construction, etc. The main objective of DIAGONAL project is to increase the understanding on Multi-Component NanoMaterials (MCNM) and High Aspect Ratio Nanoparticles (HARNS) behavior along their life cycle from NM design and production to its application into Nano-Enabled products (NEP). DIAGONAL aims to bring new methodologies to guarantee long-term nanosafety and contribute to fill current gaps in: Risk Assessment, Risk Management and Risk Governance. DIAGONAL will bring Safe-by-Design knowledge and tools to a development stage which can be implemented in the MCNM and HARNs related industries, relying on experimental (in vitro) and modelling (in silico) research to understand and ultimately predict the interactions among the NM components, their transformation products, and between the NMs and the environment, promoting a better understanding of potential adverse effects on human health, and biota. Metallic oxide NPs (Cu, Pd, Rh) over ceramic substrates of CeO2/ZrO2 (automotive catalytic converters for the transformation of toxic gases Physico-chemical characterization of PROM100 catalyst and its transformation along life cycle C) Raman Characterization E) X-ray diffraction, XRD Definition of Nanomaterial According to Commission’s recommendation [1] Prometheus catalyst (PROM100) Material with 50% or more of the particles in the number size distribution, present one or more external dimensions in the size range 1 nm-100 nm A material should be also considered nano when the specific surface area by volume of the material is >60 m2/cm3 D) X-ray photoelectron spectroscopy, XPS A) Gas porosimetry Surface area Specific surface area by volume PROM100 fresh: 81m2/g 528 m2/cm3 (*) PROM100 aged: 1 m2/g 6.5 m2/cm3 *Density (CeZrO4)= 6.52 g/cm3 B) Scanning electron microscopy, SEM PROM100 fresh PROM100 aged 200 300 400 500 600 700 800 Relative Intensity Raman Shift, cm -1 470 615 0=514 nm 200 300 400 500 600 700 800 Relative Intensity Raman Shift, cm-1 472.5 PROM100 fresh CeO2cubic fluorite: intensity peak at 465 cm-1 Ce1-xZrxO2mixed oxides: increasing x value -> shift to 470 cm-1 Broad and weak peak at ~620 cm-1: presence of oxygen vacancy in the fluorite phase which causes defects sites in Ce-Zr oxides for the activity of the catalyst [2] 200 300 400 500 600 700 800 638 616 567 537 383 348 333 306 258 221 190 Raman Shift, cm-1 178 Increase intensity peak Ce1-xZrxO2 at 472 cm-1 New peaks: ZrO2


Open-Access-Büro Berlin Der Berliner Senat hat im Rahmen der Open- Access-Strategie ein Koordinationsbüro eingerichtet. Das Open-Access-Büro Berlin ist am Center für Digitale Systeme der Freien Universität Berlin an- gesiedelt und hat am 1. September 2016 die Ar- beit aufgenommen. Das Open-Access-Büro Berlin hat die Aufgaben, die Berliner Wissenschafts- und Kultureinrich- tungen über die Kernziele der Berliner Open- Access-Strategie aufzuklären, sie bei deren Um- setzung zu unterstützen und die verschiedenen Akteure zu vernetzen. Kontakt Dr. Andreas Hübner E-Mail: andreas.huebner@open-access-berlin.de Dr. Katja Mruck E-Mail: katja.mruck@open-access-berlin.de Tel.: + 49 (0)30 838-50244 Adresse für Besucher/innen: Freie Universität Berlin Ehrenbergstraße 26-28 14195 Berlin Postanschrift: c/o Freie Universität Berlin Center für Digitale Systeme (CeDiS) Ihnestr. 24 14195 Berlin www.open-access-berlin.de kontakt@open-access-berlin.de Andreas Hübner und Katja Mruck, Open-Access-Büro Berlin Das Land Berlin hat Ende 2015 eine Open-Access- Strategie verabschiedet, um den offenen Zugang und eine umfassende Nutzbarkeit im Sinne von Open Access in den Bereichen wissenschaftliche Publikationen, Forschungsdaten und Kulturelles Erbe zu fördern. Zielsetzungen Wissenschaftliche Publikationen Mit dem Jahr 2020 soll der Anteil an wissenschaft- lichen Open-Access-Publikationen (Grün und Gold) für Zeitschriften-Artikel aus allen wissenschaftli- chen Einrichtungen in der Zuständigkeit des Lan- des Berlin möglichst bei 60% liegen. Monografien und Sammelbände sollten ebenfalls Open Access verfügbar sein. Forschungsdaten Das Land Berlin setzt sich für den offenen Zu- gang zu und die Ermöglichung einer umfassenden Nachnutzung von Forschungsdaten ein und beab- sichtigt, konkrete Beiträge im Rahmen einer nati- onal und international abgestimmten Strategie zu leisten. Kulturelles Erbe Die bereits begonnene Digitalisierung des kultu- rellen Erbes des Landes Berlin wird fortgesetzt und erweitert. Das Land Berlin setzt sich für den offenen Zugang zu und die umfassende Nutzbar- keit von Kulturdaten ein. Der Aufbau von Kreativ- partnerschaften zwischen Akteuren aus Kultur, Kunst, Wissenschaft, Bildung, Forschung und Wirt- schaft wird unterstützt. Open-Access-Strategie für Berlin Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz. Siehe http://creativecommons.org/licenses/by/4.0/ Text: Andreas Hübner und Katja Mruck, verwendetes Bildwerk: Matten Vogel


Sea slugs from the Gulf of Mexico