In this work, the drawings collected from healthy individuals and people with PD were classified by RFC. The proposed method employed pencil drawings digitized from ordinary sheet of paper, making it very simple to be applied in the context of scarce financial resources. Despite the small number of images in the available data set (51 per class), the obtained results were satisfactory and accurate by discriminating drawings of healthy people from those with PD. HOG parameters were tested in default values (10x10 pixels per cell, 2x2 cells per block and 9 bins in the histogram with 0-180° orientation) focus on good performance showed by Dalal and Triggs [4] and the HOG result was passed to the classifier. This is the first reported study considering the application of HOG estimates in combination with the RFC applied to the automatic classification of data obtained from people with PD. In the future, it will be necessary to obtain more image drawings and different shapes to increase the database and test more parameters. ACKNOWLEDGEMENTS DISCUSSION AND CONCLUSION Parkinson’s disease (PD) is a neurological disorder that is progressive and causes losses of dopaminergic neurons from the substantia nigra, a region in the human brain. The decrease of dopamine in this area implies the worsening of motor symptoms such as tremors, bradykinesia, rigidity, gait impairment, and non-motor symptoms such as depression, loss of cognitive functions, sleep problems and nerve pain [1]. PD affects 1% of the world’s population aged 60 years and over, and despite scientific advancement, the disease remains incurable. The diagnosis of PD is complex, with a seasoned specialist being necessary to make it [1, 2]. Tremors are a common symptom in PD and it can be classified into many types: resting tremor, postural tremor, kinetic, essential, cerebellar, and others. Each type manifests in different situations and frequency ranges [3]. This work proposes to classify images of handwritten drawings collected from healthy individuals and people with PD. The identification and discrimination of motor symptoms in PD is a fundamental step in the diagnosis and follow-up of the disorder. INTRODUCTION 1. de Lau LM, Breteler MM (2006) Epidemiology of Parkinson’s disease. Lancet Neurol 5:525–535. doi: 10.1016/S1474-4422(06)70471-9 2. Cancela J, Mascato SV, Gatsios D, et al (2016) Monitoring of motor and non-motor symptoms of Parkinson’s disease through a mHealth platform. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. IEEE, pp 663–666 3. Andrade AO, Pereira AA, Almeida MFS de, et al (2013) Human Tremor: Origins, Detection and Quantification. In: Andrade AO (ed) Practical Applications in Biomedical Engineering. InTech, Croatia 4. Dalal N, Triggs B (2018) Histograms of Oriented Gradients for Human Detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05). IEEE, pp 886–893. The present work was carried out with the support of the National Council for Scientific and Technological Development (CNPq), Coordination for the Improvement of Higher Education Personnel (CAPES – Program CAPES/DFATD- 88887.159028/2017-00) and the Foundation for Research Support of the State of Minas Gerais (FAPEMIG-APQ-00942-17). A. O. Andrade, A. A. Pereira and M. F. Vieira are a fellow of CNPq, Brazil (304818/2018-6, 310911/2017-6, and 306205/2017-3). RESULTS REFERENCES The Federal University of Uberlândia’s Research Ethics Committee approved the research under the number 07075413.6.0000.515. In the study, 51 images were collected from each group, i.e., healthy individuals and people with PD. A total of 102 images were available. MATERIALS AND METHODS Group Total Sex (F/M) Age (years) Health 12 8/4 60.08 ± 6.13 PD 15 7/8 65.33 ± 9.17 Fig. 1. (A) Samples of handwritten drawings collected from people with Parkinson’s disease (PD) and healthy individuals (H); (B) Pre-processed ima


According to Google: How does Google Images see and show climate change and biodiversity loss? Data collection Data curation Visualisation and Analysis The Google Images search engine is probably the most important online gatekeeper of visual culture worldwide, with over two billion searches conducted on the platform every day. Despite the platform’s importance, there is a scarcity of analyses on how Google determines the visibility of images within its search rankings. For example, is “authority” determined in a similar way to its textual web search results? Or do computer vision techniques offer new criteria for promoting images and the websites that host them? This research project focused on the visualisation of [climate change] and [biodiversity loss] by building a dataset of country-specific search rankings from Google Images. We scraped data from six different countries, selected for their political and geographic diversity in relation to the environment: Australia, Netherlands, Nigeria, China, Mexico and Brazil. We built on findings from a 2019 DMI Summer School project, Climate Image Spaces, that suggested Google Images shows a dehumanised visual vernacular of climate change dominated by landscapes, charts and the Earth. Google Images has a homogenising effect on the visual vernaculars of both climate change and biodiversity loss. For climate change, generic representations of climate change dominate. In particular, a small number of “iconic” stock images are highly ranked across the different countries. Many of these images have a half and half “left/right” layout suggesting the current, often dystopian, situation on the left, with a more hopeful utopian future on the right (occasionally this implied temporality is reversed). Examples of these images include “hand in earth”, “landscape” and “tree”. For biodiversity loss, there is also homogeneity, although with some greater country-specific diversity. Stock imagery is less dominant, but half and half images remain important, such as ‘forest as lungs’. Although biodiversity loss covers many different aspects of environmental degradation, the imagery focuses almost exclusively on deforestation. Images appear to be ranked on whether they “accord” with Google’s envisioning of climate change as time-less, place- less, human-less and cause-less. Websites not according to Google’s visions of climate change and biodiversity loss are unlikely to be ranked highly by Google Images. We used a Python script and VPNs to collect the top 50 images associated with [biodiversity loss] and [climate change] on Google Images for six countries: China, Brazil, Netherlands, Nigeria, Mexico. This resulted in a corpus of 300 images for each search term. We identified the most similar/mobile images across datasets using Google Cloud Vision, Clarifai and Memespector. Using vision APIs we identified labels and web entities associated with the images, which we used to gain a deeper understanding of the logic underpinning the sorting of images. Manual coding was then used to identify specific types of images which were not characterised by Google or Clarifai labels (e.g. half and half images, degraded forests). Using semiotics to inform our analysis manual coding served to differentiate between identical and similar images. Country specific datasets were then merged into a master spreadsheet for each term and used to identify top 10 images. We repeated the same process and expanded our data collection using the Search Engine Scraper developed by the DMI to scrape the top 10 ranking websites of Google. We extracted web domains and used the Triangulate tool to compare Google's Search and Images results in each country. Data and protocols were collated in a shared Google Drive folder. A range of tools were used for data collection, in particular a Python script and DownThemAll, and for data analysis: Clarifai, Cloud Vision, Memespector, Imagesorter, Rawgraph and Gephi. Data was centralised in csv for


MICROBIAL AND ANTIMICROBIAL RESISTANCE GENE DIVERSITY IN EXTRACELLULAR AND TOTAL DNA ACROSS RURAL ECOSYSTEM BARRIERS IN EUROPE Olivença D1, Cabal A2, Tenson T3, Hassan M4, Manageiro V1, Dias E1, Rosado T1, Kõiv V3, Kisand V3, Rab G5, Jeremejeva J6, Telling K3, Arbo K3, Chambers M4, Laragione R4, Voit E7, Drahošová Z8, Kořínková M8, Woegerbauer M9, Ruppitsch W2, Caniça M1, de Menezes A10 1National Institute of Health Dr. Ricardo Jorge – Lisbon, Portugal; 2Institute for Medical Microbiology and Hygiene, AGES-Austrian Agency for Health and Food Safety, Vienna, Austria; 3University of Tartu, Estonia; 4University of Surrey, Guildford, United Kingdom; 5Vienna University of Technology, Vienna, Austria; 6Estonian University of Life Sciences, Estonia; 7Georgia Institute of Technology and Emory University, Atlanta, USA; 8The National Institute of Public Health, Prague, Czech Republic; 9 Division for Risk Assessment, Data and Statistics, AGES - Vienna, Austria; 10National University of Ireland Galway, Galway, Ireland Aim: To determine the microbial community composition and antimicrobial resistance genes (ARGs) diversity in total and extracellular DNA in agricultural ecological compartments in Europe. This work is part of the OHEJP FED-AMR consortium, which aims to investigate the role of free extracellular DNA (exDNA) in the spread of AMR genes across ecosystem barriers via bacterial transformation. Methods: Sampling was carried out in Austria, Portugal Czech Republic, Estonia, UK and Ireland. Both total (tDNA) and extracellular DNA (exDNA) were extracted along one crop-growing season, and sequencing of the 16S rRNA genes and ARG-capture coupled with metagenomic sequencing were performed. Results: The 16S and ARGs sequencing results were obtained for 511 samples, including 258 exDNA samples. Naturally- transformable bacteria, capable of incorporating exDNA into their cells, were present in the samples. Conclusions: Further analyses will link microbiome and ARGs with contaminants, antibiotics, heavy metals and trace elements to better understand the importance of exDNA as a vector for AMR spread in agricultural ecosystems. WILD ANIMALS (faeces) PIG BARN (faeces, waste) Manure CROP FEED (on site/imported SOIL (different crops, fertilization WATER (field drainage) FARMERS (swab samples, faeces) WATER (surface, river, irrigation) WASTEWATER TREATMENT PLANT WATER (drinking, ground) Figure 2. Ordination plot of microbial diversity. Ecological compartment influenced microbiome and ARG diversity. Figure 3. ARG composition of exDNA of wastewater sludge from Ireland. Sludge exDNA had a large number of ARGs, showing their potential for ARG spread in the environment Figure 1. Possible routes of ARG spread across ecosystem barriers and targeted ecological compartments in FED-AMR Acknowledgements: This work was supported by funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 773830: One Health European Joint Programme; FED-AMR project.


A brain can perform tasks more complex than the sum of the brain parts involved We measure this difference (Phi) Phi correlates well with fitness / evolution (Edlund 2011) Fitness implies minimally required Phi Only engineered or unrealistic systems have been measured Phi could be used to quantitatively diagnose brain states (Fig.1) Here we measure Phi of a detailed model organism interacting with a fully modelled physical environment There are several potential challenges Will the temporal effect of Phi be problematic? We expect a Minimum Phi Fitness effect. Is this true? Toward the Measure of a Brain J. Schossau, C. Adami - Department of Computer Science & Engineering - Michigan State University Conclusions The measure called Phi could be useful to aid basic research on cognition and consciousness or help doctors quantitatively diagnose states of mental existence. However, complexity of performing this measure mandates a controlled environment and neuron-precision measurements. We've shown the first application of this measure to a sufficiently realistic simulation of a highly detailed modelled forward locomoting C. elegans and realistic environment. This work is the first step toward making the detailed version of Phi measure a biological reality and we validate the model by comparison to previous work. Introduction 1 Used a detailed differential equation based neurological model of C. elegans forward locomotion by Jan Karbowski et al Results All double and single ablations collectively show the characteristic Minimum Phi Fitness effect (red line). The system performs similarly to other systems that are a product of evolution. There is no large temporal effect on measuring Phi in a real system, which was originally thought to be biggest problem. Phi as a measure of information integration can be useful in many other contexts, such as evolutionary computation. For instance, we're studying Phi's effect on evolvability concerning a primary fitness criterion. Another direct application of Phi which we're pursuing is to aid in developing technology to automatically detect breast cancer. Fig. 1 Consciousness is not on or off, but a gradient. Phi could help us quantitatively measure this gradient. (Noirhomme 2010) Brain death Coma VS MCS LIS Fig. 2 Original model by Karbowski. Continuoum of Consciousness Fig. 3 Recreated DiffEQ results. Muscle activations over time. Fig. 4 Ablated Neurons to test Phi measure and behavioral effect. 3 Created a fully 3-D virtual world and an articulated virtual worm body with muscles to enable environmental interaction driven by the mathematical neural model 2 Implemented this model as a computational simulation and recreated their results 4 Recorded neural activity as the worm wiggled through the environment, then calculated Phi from the recordings Fig. 4 Initial 3-D virtual worm. 5 Performed neural ablation experiments (knockouts) to validate experimental setup. We expected the resulting diversity of architectures to exhibit the Minimum Phi Fitness effect. (see Fig. 5) Fig. 5 Current 3-D virtual worm. Delta Distance Fig. 5 Minimum Phi Fitness effect 0 Delta Phi Each dot represents one replicate from all neural ablation experimental conditions. Some are single ablation and others are double ablations. The distribution shows that better task ability requires a minimum of ability to integrate information (phi) and suggests the system is a reasonable representation of an evolved decision-making network. (Edlund 2011) [ Jory @ msu . edu ] Thanks To BEACON — Paul Allen Foundation — ICER Methods


CLARIAH-DE Work Package 3 Skills Training and Promotion of Junior Researchers Goals For a research ﬁeld that is characterised by rapid technical development, CLARIAH-DE has to include the promotion of data literacy necessary for the efﬁcient use of this digital research infrastructure as part of its objective. To develop, consolidate and reﬁne a common programme in this area, work package 3 set itself the following sub goals: Task and Co-Taskleaders: Fotis Jannidis (Institute for German Philology, Würzburg University) Andreas Witt (Leibniz-Institute for the German Language, Mannheim) Centralised search For ﬁnding recommended teaching and training materials of digital research tools, methods and approaches work package 3 developed a centralised service in close cooperation with work package 4. The Tutorial Finder is targeted at enabling: ●students to acquire or deepen knowledge in self-study. ●lecturers to ﬁnd materials to use in their teaching. ●researchers to acquire new methods, to discover new resources or to achieve international visibility of their material and research. ●the general public to get a quick and easy overview of available materials. Courses Work package 3 analysed abstracts on quantitative text analysis from Digital Humanities conferences to identify gaps in the range of courses. It closed remaining gaps by writing tutorials tailored to the needs of the target audience: ●Word Embeddings – Machine Learning for NLP ●Linear Algebra – Introduction for researchers from the Humanities and Cultural Sciences ●Statistics – Overview of quantitative methods ●Digital Editions – Workﬂow for Digital Editions Promotion of junior researchers Training and promotion of junior researchers are based on durable teaching materials for interdisciplinary reach, targeted training courses with greater impact on speciﬁc disciplinary communities and individual support for junior researchers. Junior Researchers were enabled to participate in conferences relevant to their current research. Travel grant winners share their reﬂections: ●Nadine Sutor: „I know you from Twitter // #DHd2020” ●Ramona Roller: DHd 2020 - “What is a model and why do we need it?” The CLARIAH-DE Tutorial Finder Analysis of 164 abstracts from Digital Humanities conferences Selected Events: ●2019: European Summer University in Digital Humanities → "Culture & Technology" ●2019: Topic Modeling Workshop → "Topic Modelling. Hands-on Training and Discussion Session" ●2020: Poster presentation → „Authentic spoken data and applied conversation analysis as a resource for the improvement of communicative competence in healthcare“ at the → „Teaching and Language Corpora Conference“ ●2021: Lecture series on "Digital Humanities – Theorie und Methodik ‘Data Literacy and Digital Humanities’" Skills training of, individual support for and the promotion of junior researchers Cataloguing and reﬂecting on the methods and tools used in the research ﬁeld, with the aim of identifying remaining gaps. Consolidation of the activities from the previous projects into a joint service Reﬂecting on the methods and tools used in the research ﬁeld to identify and cloe remaining gaps Poster of the European Summer University, 2019 Twitter post for Dhd 2020


@ F A C E I TA rc t i c @ F A C E I TA rc t i c @ fa c e _i t _a rc t i c @ The F A C E -I T Pro j e c t www.face-it-project.eu FACE-IT has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 869154. @ No ra _D i e hl No r a D i e hl M a ri ne B o t a ny U ni ve rs i t y o f B re m e n ndi e hl@ uni -b re m e n. de Fig. 2 Experimental set-up using adult sporophytes of L. hyperborea. w = week: w0, w4, w8, w12 = experimental samplings Fig. 1 Dots mark the current distribution of L. hyperborea. Orange line marks AMAP borders. Will L. hyperborea be able to spread throughout the High Arctic under future climatic conditions? Photoperiod and temperature interactions drive the latitudinal distribution of kelps under climate change Nora Diehl1,2*, Philipp Laesekea, Inka Bartsch2, Margot Bligh1,3, Hagen Buck-Wiese3, Jan-Hendrik Hehemann1,3, Sarina Niedzwiedz1, Niklas Plag4,5, Ulf Karsten4,6, Tifeng Shan7 & Kai Bischof1 Background: Due to global rise of temperatures, recent studies predict an expansion of kelps to higher latitudes. One of these is the cold-temperate kelp Laminaria hyperborea. It has been shown in different single-factorial experiments to survive several months of cold temperatures and darkness. Therefore, it is striking that it has not yet spread throughout the high Arctic. Aim: Find strategies how L. hyperborea can to acclimate to past, present and future conditions in the Arctic. Introduction Laminaria hyperborea is a dominant and important European bioengineering species. As ‘season anticipator’, it grows at low temperatures and during the short days of winter and early spring. Long and polar day conditions have been shown to restrict its growth. To investigate the potential ability of L. hyperborea to invade high Arctic sites under future warming scenarios, we conducted a long- term multifactorial experiment using tissue of adult sporophytes from Porsáŋgguvuotna/Porsangerfjord, Finnmark, Northern Norway – a site close to its northernmost distribution margin. Material & Methods Physiological Results & Discussion We quantified the physiological conditions of L. hyperborea and biochemical metabolites, including storage carbohydrates, under polar night, polar day and long day conditions at 0, 5 and 10°C. Cold temperatures in combination with light stressed L. hyperborea, while long polar night conditions did not harm it at any temperature (Fig. 1). Still, samples gained weight under light treatments, due to their physiological modulation to accumulate carbohydrates as reserves for winter (Fig. 2). The physiological results strongly indicate that L. hyperborea is restricted only by the long cold light periods in the Arctic and will benefit from increasing temperatures in summer. The warmer the Arctic becomes, the better L. hyperborea will cope with polar day. New species can have multiple consequences on the functioning of marine ecosystems. The stipe of L. hyperborea is rich in epibiont assemblages, which act, for example, as food source for associated mobile species, such as fish and sea urchins. Hence, the spread of L. hyperborea in the High Arctic will have cascading effects on the entire ecosystem. ©Uli Kunz References Lüning K (1986). New frond formation in Laminaria hyperborea (Phaeophyta): A photoperiodic response. Schaffelke B & Lüning K (1994). A circannual rhythm controls seasonal growth in the kelps Laminaria hyperborea and L. digitata from Helgoland (North Sea). Scheschonk L, Becker S, Hehemann J, Diehl N, Karsten U, Bischof K (2019). Arctic kelp eco-physiology during the polar night in the face of global warming: A crucial role for laminarin. Acknowledgements The authors are grateful to T. Wernberg, K. Filbee-Dexter and their diving team for collecting the kelps. Thank you to A. Wagner for his support in the experimental procedure and to B. Iken for the support in the laboratory. 1 Faculty of Biology and Chemistry & MARUM, University of Bremen, D


Viewing FSL results with SPM and vice versa Thomas Maullin-Sapey1, Peter Williams2, Guillaume Flandin3, Thomas E. Nichols1,4, Camille Maumet4 1. Department of Statistics, University of Warwick, Coventry, UK 2. Department of Mathematics, University of Warwick, Coventry, UK 3. Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, UK. 4. WMG, University of Warwick, Coventry, UK Acknowledgments: We would like to acknowledge the work of all the INCF task force members as well as of many other colleagues who have helped the task force. We are particularly indebted to M. Abrams and the INCF secretariat staff. We also acknowledge the long-standing support of DDWG activities by the BIRN (NIH 1 U24 RR025736-01), and the Wellcome Trust for support of (CM, TEN). Fig. 1. Viewing the results of the same group fMRI study with SPM and FSL. The corresponding NIDM-Results pack is available at: http://neurovault.org/collections/1692/fsl_group_ols.nidm. Introduction A growing number of efforts are emerging in the neuroimaging community to increase reproducibility of research findings (e.g. [1,2]). In an attempt to facilitate publishing of neuroimaging data and metadata, the NeuroImaging Data Model (NIDM) defines a set of specifications based on semantic web technologies. The NIDM-Results specification was recently introduced, providing a machine-readable representation of mass univariate statistical results, including extensive metadata and key images summarising the findings [3]. NIDM-Results packs can be generated from SPM [5] and FSL [6]. However few tools exist to read and display NIDM-Results. Here, we introduce two NIDM-Results viewers, one each oriented for users accustomed to SPM and FSL, two of the most widely-used neuroimaging analysis softwares [7]. Results Conclusion SPM-style viewer: https://github.com/incf-nidash/nidmresults-spmhtml, FSL-style viewer: https://github.com/incf-nidash/nidmresults-fslhtml, NIDM-Results specification: http://nidm.nidash.org/specs/nidm-results.html. Getting started with NIDM: http://nidm.nidash.org/getting-started/. We hope that the viewer will facilitate the adoption of the NIDM-Result format for sharing of statistical results in the neuroimaging community as well as interoperability across software packages. This work is part of a growing ecosystem of tools for NIDM and it is our intention to develop more applications to further to increase the practical utility of NIDM-Results. Other projects also include the creation tools for meta-analysis of neuroimaging data. [1] Gorgolewski, Front Neuroinform. 2015 [2] Poldrack Front Neuroinform. 2013 [3] Maumet Scientific Data. 2016 [4] http://www.equator-network.org [5] Penny Academic press. 2011 [6] Jenkinson Neuroimage. 2012 [7] Carp Neuroimage. 2012 [8] https://rdflib.readthedocs.io/ [9] http://neurovault.org/collections/1692/ [10] Pauli et al. Front Neuroinform. 2016 References We acknowledge the work of all INCF task force members as well as the Wellcome Trust for support of CM and TEN. Acknowledgments Usage -style view -style view Publication Unthresholded statistic maps All cluster & peak locations Machine-readable metadata NIDM-Results Selected peak locations Figure (selected slices) Thresholded statistics Installation NIDM-Results Useful links addpath(PATH_TO/spm12) addpath(PATH_TO/nidmresults-spmhtml) 1. Download SPM-style viewer from https://github.com/incf-nidash/nidmresults-spmhtml 2. Update the Matlab path pip install git+git://github.com/incf-nidash/nidmresults-fs lhtml.git 1. Install the FSL-style viewer using pip nidm_results_display(‘fsl_group_ols.nidm.zip’) View a NIDM-Results pack with: nidmviewerfsl fsl_group_ols.nidm.zip


Optimally weighted ensemble for sub-seasonal forecasting Julien Brajard1∗ François Counillon1,2 Yiguo Wang1 Madlen Kimmritz3 1NERSC, Bergen, Norway 2Geophysical Institute, University of Bergen, Norway 3AWI, Bremerhaven, Germany Introduction 1 Seasonal forecasts are issued as the arithmetic mean (equal weights: EW) of an ensemble of simulations initialized by assimilating observations. 2 During the operational production of the forecast (considering the buﬀer-time needed to ensure timely delivery), new unused observations can be available (typically a week). Objective Deﬁning an optimal weighted average (OW) that can use independent data to enhance the skill of the forecast on a subseasonal time scale with respect to equal weighted averages (EW). Setup of the experiment • Forecasts x: The Norwegian Climate Prediction Model (NorCPM) is providing skillful seasonal forecasts (Wang et al. 2019). A 60 member ensemble reanalysis reanalysis has been recently produced by assimilating monthly sea-surface temperature (SST) and T-S proﬁle data with the ensemble Kalman ﬁlter. Retrospective hindcasts of 60 members - initialised from the reanalysis - have been produced for the period 1985 to 2010 with 4 start dates per year. • Observation y: A weekly NOOA sea-surface , optimally interpolated (Reynolds et al. 2002) after the analysis month is used to determine the weights. Estimation of the Optimal Weights (OW) For a forecast xn of index n (1 ≤n ≤N, N is the size of the ensemble) and a grid point i, the weight is determined by: wn,i ∝exp −1 2(ρi ◦d)TR−1(ρi ◦d) ! , where • d = (y −xn) • ρi is a localization vector whose elements are: ρik = f (d(i, k)/L) , ρik = 0 if d(i, k) > L • R = (λo)2Eobs, is the observation error. Eobs is the diagonal error provided with the NOAA product and λo is an inﬂation factor. Illustration with a Lorenz model The algorithm has been tested using a Lorenz 96 model with a observation at 0.2 time after the analysis time. • The forecast skill (in RMSE) is improved until a time of 1 (> 3 Lyapunov time) • The error of the OW mean at the observation time is comparable to the error of the analysis (initial time) Results The validation is performed on the sea-surface temperature by comparing with future observations. All the conﬁ- dence intervals and signiﬁcativity of the results are computed by bootstrapping with 100 samples. Figure: Global correlation space- and time-wise as a function of the lead month for the optimal weights (OW) and the equal weights (EW) hindcast. ▶The optimal weights hindcast has higher skill up to 2-3 leading months. Figure: Gobal correlation space-wise for a two monhts leading time as a function of the date for the optimal weights (OW) and the equal weights (EW) hindcast. The ﬁlled circles (resp. unﬁlled) correspond to the dates where the diﬀerences are signiﬁcant (resp. not signiﬁcant). ▶The improvement is found for the whole period. Figure: Time-wise correlation 1985-2010 at a two months leading time for the hindcast computed with equal weights (the baseline on the left panel) and with optimal weights (the center panel). The right panel shows the diﬀerence between the weighted hindcast correlation and the equal weights hindcast correlation, positive values indicating that optimal weights have improved the correlation. ▶The improvement is consistent on the whole domain but has diﬀerent magnitude depending on the region. Regional improvement Correlation at a two month leading time globally and for diﬀerent regions Region Correlation OW EW Global 0.50 0.44 ENSO 0.93 0.90 Bar 0.50 0.33 Norw 0.63 0.63 ▶Some regions with low skill using EW have better skill with the optimal weights (OW), e.g. the Barents Sea. Conclusion ▶Seamless update of the forecast between two oper- ational forecast releases with the arrival of fresh data ▶Improvement up to a 3 months lead-time ▶No need to recompute the forecast ▶Little sensitivity to the hyperparameter tuning Sensitivity Two hyperparameters need to be tuned to det


Introduction: The 2022 crisis has significantly changed European countries' approach to energy security and demonstrated the need to become independent from Russian energy imports. It has also revived the discussion on accelerating renewable energy changes to increase the share of green energy in the total energy balance of the associated countries. The main goal of the Research: primary analysis of selected conditions for energy security of European Union countries, in the context of turbulence on energy markets in Europe after the year 2022, using the non-parametric Wilcoxon signed-ranks test Application: desirability, possibility, and necessity of building an inter-state model, which can optimize energy flow management based on the principles of sustainable development, influencing the increase of energy security in Europe. Research hypothesis: The crisis of 2022 significantly changed the approach to optimizing energy flows Variables included in research: Total Energy Supply, which includes all the energy produced in or imported to a country, minus that which is exported or stored. It represents all the energy required to supply end users in the country. Energy trade balance, which is the difference between Energy import and export Change in energy balance in the European Union after 2022 dr Beata Szetela, dr hab. Grzegorz Mentel, prof. PRz – faculty of Management, Rzeszow University of Technology, Poland Prof. Najiba EL AMRANI EL IDRISSI, Faculty of Science and Technology, USMBA, Fez, Morocco Energy mix changes in UE between 2000 - 2022 Systematic decline in the amount of coal used Increasing role of energy obtained from renewable energy sources Reduction of the natural gas demand Increase in the total European Energy imports by 3% and decline of exports by 0,5% between 2021 and 2022 independence from energy supplies from Russia- Results In the case of coal, there are no significant changes in its share in the total energy mix, especially compared to the previous four years, when a systematic decline in the amount of coal used was observed. There are statistically significant differences in wind- and solar-based produced Energy, towards significant increases in renewable energy production There are significant differences in the amount of energy imported among developed and emerging European countries. In 2022, compared to 2021, the increase in imports among developed countries ranged from 2% in Belgium to 22% in Austria, while in developing countries the largest increase was recorded in Slovenia, where it amounted to 19%. All countries that recorded a decline in fuel imports in 2021 saw a significant increase in imports in 2022, which was undoubtedly due to the turmoil in energy markets caused by Russia's attack on Ukraine. The research leading to these results has received funding from the project titled "Cluster for innovative energy" in the frame of the program "HORIZON-MSCA-2022-SE-01" under the Grant agreement number 101129820 29.02-01.03. 2024 Szczecin V Edycja Międzynarodowej Konferencji Naukowo-technicznej "Energia Nowoczesnych Miast" https://energia.usz.edu.pl/


Resistant Starch 5: A Novel Approach to Reducing Postprandial Glycaemia and Lipaemia • Factors that affect the formation of RS5 include temperature, time, stirring speed, size of stirring rod • RS5 can be produced with small quantities of fat/oil added to starchy food 1 WHO (2018). Diabetes. World Health Organisation. Online. Available from: https://www.who.int/news-room/fact-sheets/detail/diabetes [Accessed 27 April 2020]. 2 Saeedi, P. et al., (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Research and Clinical Practice. 157; 107843. 3 Lehmann, U. and Robin, F. (2007). Slowly digestible starch - its structure and health implications: a review. Trends in Food Science and Technology. 18; pp. 346 – 355. 4 Fuentes-Zaragoza, E., Riquelme-Navarrete, M. J., Sánchez-Zapata, E., and Pérez-Álvarez, J. A. (2010). Resistant starch as a functional ingredient: A review. Food Research International. 43; pp. 931 – 942. • In 2016, diabetes caused about 1.6 million deaths, and the global prevalence of diabetes in 2019 was estimated to be 9.3%, projected to rise to 10.2% by 2030. • Cardiovascular diseases (CVDs) are one of the common complications of diabetes which may lead to early death. • Diabetes is a disease that occurs when the blood glucose is too high. It has also been identified as a secondary cause of lipaemia. • Lipaemia is the presence of an abnormally high concentration of fat in the blood. Figure 1. Pictorial illustration showing the formation of RS5 (amylose-lipid complexes). • The nutritional quality of starch depends on how it has been processed and the major physiological effect of starch is the release of glucose, as a source of energy for the body. • Starch can be processed to form a kind of dietary fibre called resistant starch (RS). • RS is the fraction of starch that is not broken down to glucose in the small intestine within 120 minutes of being consumed. It is therefore fermented in the large intestine and serves as a source of fibre. • Types of RS classified based on their physical and chemical characteristics: RS1 - RS5 • Objective: To investigate the formation and digestion process of resistant starch 5 – RS5 (amylose-lipid complexes). Background Introduction Conclusion Method Results References How does the consumption of resistant starch 5 (amylose-lipid complexes) affect the levels of glucose and fat in the blood? A. O. Adewuni*, T. Grassby, M. D. Robertson School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU27XH, UK *a.adewuni@surrey.ac.uk Research Question Study 1 •Production and characterisation of RS5* Study 2 •In vitro digestion of RS5 - Simulated gastro- intestinal digestion Study 3 •In vivo study – Human study Figure 2. Percentage complexing index with different ratios of palmitic acid and gelatinised starch. Proposed Impact • To proffer recommendations on the use of RS5 as a functional food ingredient in the management and subsequent treatment of illnesses such as diabetics and lipaemia • To promote healthier nutrition and lifelong health Discussion • Complexing Index (CI) ranged from 41% to 55% for 1:1 to 1:24 ratios of palmitic acid and gelatinised starch. • In reality (oil:starch): 91% 4% ≈1:23 • High percentage complexing index shows high values of RS5 *Note: This poster presents the work I have done so far (study 1 only). No information on study 2 and 3.


O projeto OSTrails visa contribuir para a melhoria dos processos e instrumentos de planeamento, monitorização e avaliação dos resultados de investigação cientíﬁca. A operacionalização dos seus objetivos vai decorrer trabalhando com vários parceiros nacionais e temáticos, com vista à otimização da infraestrutura existente e estabelecendo ligações com as partes envolvidas no ecossistema cientíﬁco europeu. Desaﬁos Abordagem Interoperabilidade insuﬁciente nas diferentes fases de investigação. Sistemas de informação académica não interoperáveis ou reduzida harmonização das melhores práticas adotadas. Incerteza quanto ao cumprimento dos princípios FAIR e das práticas de PGD. Mecanismos insuﬁcientes de monitorização. Diferentes níveis de maturidade de Ciência Aberta, FAIR e EOSC. Pilotos Para deﬁnir, criar, validar e avaliar as suas atividades e resultados, o projeto vai pilotar a adoção dos seus desenvolvimentos, contando com a colaboração de várias instituições, estando previstos 15 pilotos nacionais e 9 pilotos temáticos, entre as quais a Universidade do Minho e a Fundação para a Ciência e a Tecnologia. Contributos Reduzir as barreiras na adoção dos princípios FAIR nas diferentes fases de investigação; melhorar a avaliação da investigação através de um sistema de investigação interligado. Principais resultados Planeamento: melhorar a eﬁciência dos Planos de Gestão de Dados, transformando-os em recursos interligados e acionáveis por máquina. Monitorização: estabelecer um ecossistema aberto, interoperável e de elevada qualidade de sistemas de informação de conhecimento cientíﬁco, beneﬁciando da implementação dos princípios dos dados FAIR. Avaliação: disponibilizar ferramentas de avaliação dos princípios FAIR, com vista a obter métricas acionáveis por máquina integradas nas ferramentas que apoiam cada uma das fases do ciclo de vida de investigação. Face a estes desaﬁos, propõe-se a otimização do cumprimento dos princípios FAIR, interconectividade e automatização dos sistemas, nas fases de planeamento, monitorização e avaliação da investigação. Autores: André Vieira, Paula Moura, Pedro Príncipe, Antónia Correia Universidade do Minho Rumo ao planeamento, monitorização e avaliação dos resultados de investigação cientíﬁca


a) b) c) Filling proces: pressure profiles 0 50000 100000 150000 200000 250000 Mean Pressure (Pa) -24 -20 -16 -12 -8 -4 0 4 8 12 16 20 Time (s) Mean Pressure (Pa) Experimental (-) (2) Air (1) Premixed Air+Fuel P = 0,368 bar 0,184 bar CH4 + 0,184 bar Air up to target pressure Ptarget = 2,28 bar ζ Geometry of a combustion chamber Mesh Geometry simplification Air test simulation Initial and boundary conditions Sim. pressure profile Exp. pressure profile Inputfroman air test Dead volume adjustment Non-knocking combustion simulation Initial and boundary conditions Exp. pressure profile Sim. pressure profile ‘Combustion model calibration’ Knocking combustion simulation Initial and boundary conditions Self-ignition occurence Self-ignition occurence ‘Knock model calibration’ Dead volume: 70 cm of a pipe, closed 0 1e+06 2e+06 3e+06 4e+06 5e+06 6e+06 7e+06 8e+06 9e+06 1e+07 Mean Pressure (-) Experiment Simulation Dead volume: 20 cm of a pipe, closed 0 1e+06 2e+06 3e+06 4e+06 5e+06 6e+06 7e+06 8e+06 9e+06 1e+07 Mean Pressure (Pa) Simulation Experiment λ λ λ=0,52 EQR=1,924 λ=1,29 EQR=0,775 λ=1,08 EQR=0,928 5.5 mm/s Velocity: EQR/λ: λ Pressure profile: dead vol. adjusted based on Airtest 415 0 2e+06 4e+06 6e+06 8e+06 1e+07 1.2e+07 1.4e+07 1.6e+07 Mean Pressure (-) 500 525 550 575 600 625 650 675 700 Crank Angle (-) Experimental (-) Simulated, SF 1.4 (Pa) Simulated, SF default (-) Pressure profile: dead volume tuning... 0 2e+06 4e+06 6e+06 8e+06 1e+07 1.2e+07 1.4e+07 1.6e+07 Mean Pressure (-) 500 525 550 575 600 625 650 675 700 Crank Angle (-) Exp. (aligned) (-) dead_volume (-) real_dead_vol_adj_pos_all_t (-) ..._tuned_comb_model (-) real_dead_vol_all_time (-) λ λ λ Dead volume: 70 cm of a pipe, closed 0 1e+06 2e+06 3e+06 4e+06 5e+06 6e+06 7e+06 8e+06 9e+06 1e+07 Mean Pressure (-) 500 520 540 560 580 600 620 640 660 Crank Angle (s) Experiment Sim. adjusted piston profile Sim. org. piston profile Volume profile 0 0.0001 0.0002 0.0003 0.0004 0.0005 0.0006 0.0007 0.0008 0.0009 0.001 Total Volume (m^3) 500 520 540 560 580 600 620 640 660 Crank Angle (deg) Total Volume (m^3) org. piston (m^3) Total Volume (m^3) adjusted piston (m^3) Pressure profile: dead volume tuning... 0 2e+06 4e+06 6e+06 8e+06 1e+07 1.2e+07 1.4e+07 1.6e+07 Mean Pressure (-) 500 525 550 575 600 625 650 675 700 Crank Angle (-) Exp. (aligned) (-) real_dead_vol_all_time (-) kf 0.85 (-) kf 0.75 + piston min 0.5 mm (-)


*L. Graziani[1], B. Ciardi[2], M. Glatzle[2], M. B. Eide[2], M. C. Orofino[1], S. Gallerani[1] [1] Scuola Normale Superiore di Pisa, Pisa, Italy [2] Max Planck Institute for Astrophysics, Garching bei Muenchen, Germany Massive black holes in evolving galaxies: from quasars to quiescence June 25-29, 2018 Institut d'Astrophysique de Paris (IAP), Paris - France Xrays ionization and heating by highredshift quasars Here we discuss the impact of quasars (QSOs) on the ionization and heating of host and field galaxies and on the intergalactic medium (IGM), by showing the results of radiative transfer simulations accounting for Xrays and secondary electrons. By adopting a multiscale approach (100 h1 / 25 h1 / 1 h1 cMpc boxes) we study the importance of feedback in different environments and the impact on observables present at different scales. The role of QSO in the general context of a full reionization simulation [12] and their relative contribution in the evolution of the first Gyr of our Universe is addressed in the first box. The second box considers a single QSO HII region in a case matching a ULAS J1120+0641like QSO. Implications for the HII region properties are also discussed [3]. Finally, new small scale simulations accounting for Xrays triggered photodissociation regions and metal ions are introduced in the last box [567]. Abstract Large scale reionization: impact of different sources Figure 1: 3D visualization of the HII, HeII and HeIII fractions in the QSO environment, as produced by both the central QSO and the surrounding galaxies with full UV and X-ray physics [1]. The images refer to a time tQ = 107 yr after the QSO has been turned on at z = 10. The simulation box is 50h-1 cMpc. Large scale reionization is dominated by the concerted impact of different sources. Galaxies drive the process during H-reionization, while QSOs create peculiar high-redshift environments and drive He-reionization [1,2]. Figure 2: Maps of temperature at z = 10 for galaxies only models with different assumptions of escape fractions ( GAL*), and galaxies+QSO models (GAL*+QSO) with UV and X-Rays [1]. Galaxies start to reionize the IGM at z = 15, while the QSO is turned on at z = 10 with a lifetime of 107 yr. The maps have a side length of 50h-1 cMpc and the width of the slice is 195h-1 ckpc. The galaxy and QSO H II (He III) I-front is shown as green and blue solid (dotted) contour, respectively. Figure 3: Maps in the plane of the first QSO at z = 12. Columns indicate different combinations of source types [2]. The upper rows show either HII or T, while the lower rows show the difference with respect to the first panel (stars only case). Simulation Box 100h-1 cMpc [3]. [1] Kakiichi, K.; Graziani, L.; Ciardi, B.; Meiksin, A.; et al., 2015, MNRAS, 468, 3 [2] Eide, M. B.; Graziani, L.; Ciardi, B.; Feng, Y.; et al., 2018, MNRAS, 476, 1 [3] Khandai, N.; Di Matteo, T.; Croft, R.; Wilkins, S.; et al., 2015, MNRAS, 450, 2 [4] Graziani L.; Ciardi B.; Glatzle, M., 2018, MNRAS, in press (DOI:10.1093/mnras/sty1367) [5] Barai, P.; Gallerani, S.; Pallottini, A.; Ferrara, A.; et al., 2018, MNRAS, 473, 3 [6] Graziani, L.; Maselli, A.; Ciardi, B., 2013, MNRAS, 431, 1 [7] Orofino, M. C.; Graziani, L.; Gallerani, S., et al., 2018, MNRAS, in prep. [8] Graziani, L.; Gallerani, S.;Orofino, M. C., et al., 2018, MNRAS, in prep. Reference Local scale: QSO host and field galaxies Figure 6: Slice cut of the simulation in [5] showing the gas number density (left panle), the velocity field ( middle) and the temperature field (right) in a plane intercepting both the QSO outflow and the galaxy host. The box is 1h-1 cMpc and it is shown in cell units (1 cell = 0.78 kpc physical). The simulation redshift is z=6. Figure 8: Star formation rate (SFR) evolution in redshift of a massive halo invested by the QSO outflow. Two feedback configurations are shown: spherical and conical. The evolution of star formation is strongly impacted by different modeling of QSO outflow [7


M F U DATE: Thursday 3 December TIME: 6.30-8pm LOCATION: The Alderman (upstairs) 134 Lygon St East Brunswick FORMAT: 45 minute panel presentation 45 minute open discussion From the romance of fairy-tales to the sexual appeal of popular culture, the characterisation of girlhood in the Western media landscape presents a passive and commodified image of femininity in a hegemonic fashion. The development of new media technologies and the rise of consumer culture have increased anxieties surrounding the social identity and the corporeality of girls. How do girls interpret and negotiate these mainstream narratives? Is there room for alternatives? What can we learn from how girlhood has been defined in other times and cultures? Join ELODIE SILBERSTEIN (Monash University) in conversation with MICHELLE SMITH (Deakin University), SOFIA RIOS (Monash University) and FREYA BENNETT (founder of Tigress Magazine) as they problematise the idea of girlhood across borders and across time. FROM CINDERELLA TO TELENOVELAS NARRATIVES OF GIRLHOOD IN A GLOBALISED WORLD A PANEL DISCUSSION WITH ELODIE SILBERSTEIN, MICHELLE SMITH, SOFIA RIOS & FREYA BENNETT SPECIAL SEMINAR f i n d MELBOURNE FREE UNIVERSITY on twitter & facebook .org MELBOURNEFREEUNIVERSITY


Making Ice Penetrating Radar More Accessible A tool for ﬁnding, downloading, and visualizing georeferenced radargrams within the QGIS ecosystem NSF: 2209726 PI: Laura Lindzey Abstract Ice Penetrating Radar has been a fundamental tool for understanding polar ice sheets since the ﬁrst ﬂights in the 1960’s. The US alone has spent many tens of millions of dollars on direct grants to enable the acquisition and analysis of radar data, and even more on related infrastructure and support costs. The QIceRadar project tries to make these critical datasets more FAIR. It will index data that is distributed across multiple international data centers (ﬁndability) and will provide a consistent interface to the many diﬀerent formats this data is published in (interoperability). We chose to build this functionality as a QGIS plugin because QGIS is already used by much of the polar community: Quantarctica and QGreenland have rapidly become indispensable data indices for researchers, making diverse data sets readily available. Thus, with no additional work on our part, QIceRadar will enable interpreting radargrams in context with many map- view datasets. Ice Penetrating Radar As an aircraft ﬂies above the ice sheet, the radar system emits VHF pulses. After each pulse, it records the intensity of reﬂected echoes, which correspond to the air/ice surface, features within the ice, and the ice/bed interface. Radargram Interpretation Data Availability QIceRadar Left: QGIS screencap showing existing radargrams over Thwaites Glacier. Other active layers show the MODIS mosaic [1] included in Quantarctica [2] and hypothesized active lake outlines from [3]. Above: Segment of radargram THW/X63a [4] corresponding to the orange line in the map. The yellow dot in the map view corresponds to the location of the vertical red line in the radargram. [1] Scambos, Ted A., et al. "MODIS-based Mosaic of Antarctica (MOA) data sets: Continent-wide surface morphology and snow grain size." Remote sensing of environment 111.2-3 (2007): 242-257. [2] Matsuoka, Kenichi, et al. "Quantarctica, an integrated mapping environment for Antarctica, the Southern Ocean, and sub-Antarctic islands." Environmental Modelling & Software 140 (2021): 105015. [3] Smith, Benjamin E., et al. "Connected subglacial lake drainage beneath Thwaites glacier, west Antarctica." The Cryosphere 11.1 (2017): 451-467. [4] Chu, W., Culberg, R., Hilger, A., Jordan, T., Schroeder, D., Seroussi, H., et al. (2021) "Radar Sounding Observations of the Amundsen Sea Embayment, 2004-2005" U.S. Antarctic Program (USAP) Data Center. unavailable unsupported supported Intensity Time since transmission Air Ice Rock Polar ice penetrating radar data is collected by over a dozen countries/research groups, all of which utilize diﬀerent data centers and formats. Both Antarctica and Greenland / the Canadian Arctic are included in our index, and our viewer will work with data formats from every major provider. Unfortunately, much of Bedmap 3’s data [5] are not available as radargrams. Our project includes a database of all known polar ice penetrating radar datasets, provided as a geopackage, and a plugin that enables visualizing them in context with other map-view datasets. In the radargram above, there is likely a deep valley where the bed was not observed, so an ice ﬂow model based on smoothed interpreted horizons (shown in red) and observed surface velocities may not converge. Modeling subglacial drainage networks is also sensitive to this eﬀect. AGAP A38b [6] Radargrams contain far more information than the proﬁle and gridded ice sheet geometry that is currently readily available. In the radargram above, there is an additional bright reﬂector above the bedrock reﬂection. [7] interpreted this to be a buried ash layer, corresponding to historical volcanism in West Antarctic and enabling the eruption to be dated to 8 kya. THW/Y53a [4] ICP3/F56T03a [8] Englacial layers observed in radargrams can be traced between core sites, inf


Investment barriers in renewable energy in tourism industry enterprises dr Svitlana Bilan, Centre of Sociological Research, Poland dr Katarzyna Chudy-Laskowska, Department of Quantitative Methods, Faculty of Management, Rzeszow University of Technology, Poland dr Nawrot Łukasz, Centre of Sociological Research, Poland Introduction Renewable energy is an alternative to traditional energy sources. Its use helps mitigate the negative effects of greenhouse gas emissions and reduce global warming. Poland is considered a promising market for investments in renewable energy sources, but it encounters a number of barriers in the process of achieving the goals related to their implementation, preventing or hindering their use, negatively affecting the development of this sector. They are analyzed both at the EU level and in individual Member States. The aim of the study is to identify barriers limiting investments in renewable energy sources, which makes it possible to limit or eliminate mistakes and bad decisions that prevent the development of this sector. The main barriers related to the development of renewable energy in Poland included: limited possibilities of financing investments by entrepreneurs, legal regulations, administrative and procedural difficulties, as well as problems with the operation of transmission networks. It is also worth mentioning the barriers on the part of people related to the lack of knowledge, information about sustainable energy carriers, the possibility (willingness) to use them, related problems, benefits, etc. The research included entrepreneurs who use renewable energy technology (140 - 12%) and entrepreneurs who did not use any renewable energy technology in their business (1056 - 88%). The companies that were surveyed operate in the tourism industry. The presented results concern only part of the research involving the identification of barriers among people who have not yet invested in renewable energy. The research used graphical analysis, factor analysis and econometric modeling. Factor 1 Factor 2 Factor 3 Factor 4 Factor 5 Lack of credible benefits from using renewable energy sources for environmental protection 0,7236 -0,0430 0,0900 0,0321 -0,0276 Fears about introducing new technologies into the company 0,7341 0,0473 0,0245 0,1903 0,0382 Decrease in demand in the enterprise 0,0670 0,7177 0,0319 0,0346 0,0179 Increased investment risk in the economy 0,0874 0,7490 0,1357 0,0638 0,0404 Loss of financial liquidity 0,0255 0,7513 0,0173 0,1017 0,1022 Dynamic changes in legal regulations 0,0378 0,1376 0,7360 0,0160 0,0285 Lack of appropriate legal regulations in the field of renewable energy 0,0200 0,0182 0,7843 0,1135 0,0441 Inappropriate location of the company in relation to renewable energy resources 0,0850 0,0940 -0,0495 0,7169 0,0225 Lack of experience in implementing innovations 0,0476 0,0084 -0,0249 0,7364 0,1734 Lack of own financial resources -0,0582 0,1239 0,0312 0,0256 0,7551 Variance 1,8775 1,8745 1,7198 1,8707 1,5311 % Variance 0,1043 0,1041 0,0955 0,1039 0,0851 (1,36) (0,15) (0,16) (0,16) (0,12) (0,17) The model of fears about renewable energy investments is presented below. Results: The model fits the data by 40%. (R2 =0.40). The research shows that all constructed factors turned out to be statistically significant and were I ncluded in the model. The respondents assigned the greatest importance t o factor 4, which was the first to enter the model - it is responsible for concerns regarding the location of investments and the lack of experience in introducing innovative investments. If the value of factor 4 increases by one point, the synthetic indicator corresponding to concerns increases by 2.24 points. The second most important factor is the factor responsible for concerns about legal regulations and the variability of regulations regarding renewable energy. The third most important factor was factor 1, i.e. the fear of lack of benefits from the investment. It is surprising that t


I. Introduction III. Inpainting IV. Results and discussion One of the fundamentals of the standard model of cosmology is the statistical isotropy of the universe at large scales. However, WMAP and Planck temperature data show evidence of several anomalies hinting that the large-scale anisotropies are not fully compatible with the statistical isotropy assumption. In particular, one of them, known as “hemispherical power asymmetry” [1], suggests a directional dependency of the anisotropies. This asymmetry has been found using different estimators with a significance close to 3σ [2, 3, 4]. Modeling the asymmetry in terms of a dipolar modulation [2] allows us to determine the statistical significance, the direction, and the amplitude. In temperature the observed asymmetry is compatible with a modulation of ~7% [2, 4]. Applying the same analysis to the Planck third release (PR3) data, a dipolar modulation was found at modest significance [4] in the E-mode maps. However, anisotropic noise and large scale systematics plays an important role in this analysis. In this work we repeat the analysis using both, PR3 and the new Planck fourth release (PR4) data [7], which provides an improved data set (especially in polarization) with reduced systematics and noise. In addition, we also work with a new alternative inpainting approach, which is necessary to reduce the E/B mixing. The preliminary results show that using a set of 300 simulations the p-value increases up to 3.3%, while we have not found differences in the intensity analysis. II. Dipolar Modulation Analysis REFERENCES [1] Eriksen H.K. et al. 2004, ApJ, 605, 14 [2] Hansen F. K. et al. 2009, ApJ, 704, 1448 [3] Akrami Y. et al. 2014, ApJ, 784, L42 [4] Planck Collaboration VII. 2020, A&A, 641, A7 [5] Tegmark M. & Oliveira-Costa A. 2001, PhRvD, 64, 063001 [6] Marcos-Caballero A. et al. 2019, JCAP, 10, 53 [7] Planck Collaboration LVII. 2020, A&A, A42 Following [3], we study the asymmetry by computing the local- variance maps over disks of a certain size. A dipolar modulation, of the form in the fluctuation map would manifest itself as a dipole structure in the local-variance map, so we can fit it by a χ2. The first figure shows how a local-variance map looks like starting from a modulated E-mode map. Using simulations we can calibrate numerically the proportionality between the amplitude of the local-variance dipole and the amplitude of the modulation. We can also predict the ability of the method to detect modulations of a given amplitude (see figure on the left). If we apply a mask, we only consider disks where at least 10% of the pixels are unmasked. HEMISPHERICAL POWER ASYMMETRY IN INTENSITY AND POLARIZATION FOR PLANCK PR4 DATA C. Gimeno-Amo1, R. B. Barreiro1 and E. Martínez-González1 1Instituto de Física de Cantabria, CSIC-Universidad de Cantabria, Santander, Spain E-mail : gimenoc@ifca.unican.es Local-Variance map at Nside = 16 Working with masked QU maps produce an E/B mixing. In order to have a better E-mode reconstruction we need to fill masked pixels by using an inpainting technique. For the first time in polarization we have implemented an inpainting technique known as “Gaussian constrained realization” [6]. We fill the masked pixels coherently with a cosmological model and taking into account the unmasked pixels. The pixel covariance matrix needed for this has 2 contributions: the CMB signal, and the noise and systematics. CMB can be computed from the angular power spectra [5, 6], while noise must be estimated numerically. We have split the noise simulations and used the first half for estimating the covariance matrix and the second for the analysis. Unfortunately, the number of simulations is not enough for the matrix to reach convergence, and the inpainting is not as good as we predicted using only CMB. We have tried a variety of ways of estimating the matrix, and we have chosen the one that minimizes, for the same fsky, the maximum relative error (see green line in the fi


This project has received funding from the European Union's Horizon Europe Framework Programme under grant agreement number 101058554. This work was co-funded by the Swiss State Secretariat for Education, Research and Innovation (SERI) and the UK Research and Innovation (UKRI) under the UK government's Horizon Europe funding guarantee grant number 10042534 & grant number 10055606. 2nd NOVA General Assembly| Smolenice Castle| 2023 Stability/Lifespan Durability Chemical/ Abrasion resistance Surface material compatibility Ease of application Water- or solvent-based Appearance Possible impact on the function of the coated object Leaching Toxicological/environmental concerns More information about the Author? Permanent coatings: model paint formulations for photocatalysts Fraunhofer IFAM, Bremen (D) DOI: 10.5281/zenodo.8332165 Claus Schreiner, Dorothea Stübing, Malinn Kastens and Thalea Czarnik Strengths • identification of an efficient photocatalyst in combination with a durable matrix would open up ways for very long lasting effects • combinations with the upconverter pigments could lead to synergistic booster effects • pure anatase is a pigment commonly used in cosmetics and pharmaceuticals, so no toxicity is expected concerning the undoped material Weaknesses • as the particles are based on TiO2, all functionalized coatings are at least hazy and can be white to greyish/beige (in case of doped TiO2) • the effects observed are lasting, but only moderately active • quite high concentrations of particles can be necessary which influences the general coating performance • the coating matrices must be robust, otherwise they are decomposed as well Opportunities • the applicability is very universal, all common coating matrices can be used • TiO2 is a friendly pigment referring to viscosity properties; in case of white/grey coatings, the functionalization is “invisible” • various photocatalytic materials are commercially available and not excessively high priced • the incorporation in the coating uses standard dispersion techniques (material behaves like rutile TiO2) • regulatory aspects (although it seems that TiO2 has already gone through this “process”) • too high amounts of photocatalyst added can reduce key features of a given coating (e.g. substrate adhesion) • starting from clearcoats, the milkiness of the functional coatings might be undesired by the market/customer Threats & Risks Functional Requirements Non-functional Requirements • Light (visible to UV-A) as well as moisture is necessary for the photocatalytic process; moisture must be available at least at a molecular level (no macroscopic water!) • the coating matrices must be robust, otherwise they are decomposed as well over time • the coating matrix must be suitable for the application purpose 1. Claus Schreiner, Volker Zöllmer: Fraunhofer-funded „Covid Dekont“ project, www.compamed.de („Im Kampf gegen Viren und Bakterien – Desinfektion mit Licht“), 04/2022. Features • photocatalysts are usually based on the titanium dioxide modification anatase; except for the photocatalytic activity, the properties are similar to rutile = “common” TiO2 • in the presence of light (UV to visible) and moisture, radicals are formed which decompose organic matter (like bacteria) • as the polymer matrix is also organic, robust coatings are mandatory for lasting effects Goals (Product Vision) • versatile coatings with durable antimicrobial properties by: • screening of a variety of photocatalysts to figure out their strengths and weaknesses • examination of different coating matrices with respect to the interactions with the photocatalysts (e.g. regarding resistance or inhibition) • studies on combinatorial approaches with Evonik’s upconverter pigments Durable coatings with unlimited antimicrobial effect depends on the coating matrix; the particles themselves are stable (inorganic pigments!) again, dependent on the coating matrix; surface abrasion leads to uncovered pigments and thus to incr


W0830: an extremely cold, missing-link planetary-mass object at the low-mass end of the IMF Daniella Bardalez Gagliuffi1, Jackie Faherty1, Adam Schneider2, Aaron Meisner3, Dan Caselden4, Guillaume Colin4, Sam Goodman4, Davy Kirkpatrick5, Marc Kuchner6, Jonathan Gagné7, Sarah Logsdon3, Adam Burgasser8, Katelyn Allers9, John Debes10, John Wisniewski11, Austin Rothermich12, Nikolaj Stevnbak Andersen4,13, Melina Thévenot4, Jim Walla4 1AMNH 2USNO 3NSF’s NOIRLab 4Backyard Worlds: Planet 9 Collaboration 5Caltech/IPAC 6NASA Goddard 7Université de Montréal 8UCSD 9Bucknell University 10STScI 11University of Oklahoma 12University of Central Florida 13Kolding Hospital, Denmark Read more: Bardalez Gagliuffi et al. 2020 Citizen scientists from Backyard Worlds: Planet 9 discovered WISE J0830+2837, an extremely red source moving at 2”/yr in multi-epoch WISE images. Follow-up NIR HST imaging did not detect the source, even though it was bright in Spitzer images. The red color and non-detection in the NIR indicate that W0830 is extremely cold. With our Spitzer parallax, we can place the object at 11pc with a Tef ≈350 K. Assuming an age of 1-10 Gyr, W0830 is a planetary mass object of 4-13 MJup. W0830 fills a temperature gap between the coldest known brown dwarf (W0855, 250K[4]) and the rest of the Y dwarf population. Spitzer ch2 W0830 Spitzer ch1 W0830 W0830 W0830 HST F125W HST F125W Data from Bardalez Gagliuffi et al. 2019, Best et al. 2020, Kirkpatrick et al. 2021 Atmospheric models from Morley et al. (priv. comm.) Temperature sequence Metallicity? Surface gravity? 450 K 250 K 350 K W0830 This object is a crucial bridge connecting W0855 to the warmer Y dwarf population. Following the decommissioning of Spitzer, further characterization of W0830 will require either JWST or much deeper images from HST. Establishing metallicity, surface gravity, and temperature from its SED would aid in interpreting the role of fundamental properties in this temperature regime. Modified from Bardalez Gagliuffi et al. 2020 With temperatures ≤500K, Y dwarfs are some of the lowest-mass products of star formation[1]. Only ~40 Y dwarfs are known (30% of those with BYW![2,3]) and are critical to understanding the complex atmospheres of giant planets like Jupiter and the tail end of the IMF. References [1] Cushing et al. (2011) [2] Bardalez Gagliuffi et al. (2020) [3] Meisner et al. (2020a) [4] Luhman (2014)


GROUND REACTION FORCES INDICATE OLDER WOMEN AND CHILDREN HAVE DIFFERENT GAIT STRATEGY Rafael Baptista1, Vandressa Vargas, Leandro de Souza, Leandro Giacomazzi, Gustavo Heidner, Régis Mestriner, Andréia Aires, Rodrigo Nascimento e Marcus Vieira2. 1PUCRS e 2UFG. 1. INTRODUCTION The purpose of this study was to compare the GRF during the gait and its derived parameters between children and older women 2. METHODOLOGY Twenty-five children (age 6.39±1.88 years) and thirty- three elderly women (age 70.48±6.66 years) took part in this study. Each participant performed five trials following a verbal cue, at a self-selected pace, while wearing sports footwear, on a 6.0 m long by a 1.4 m wide walkway with 8 embedded force platforms (BTS Bioengineering). 3. RESULTS 4. CONCLUSION Significant differences in kinetic gait parameters were observed when comparing elderly women and children. Based on GRF, stance phase times, and impulses we have concluded that elderly women walked slower than children, with longer stance phase duration, increased step rate, and shorter stride length. These differences are likely the results of the opposite strategies adopted by each group. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior – Brasil (CAPES) – Finance Code 001. e-mail: rafael.baptista@pucrs.br Table 1. Summary of GRF Vertical Parameters Note. Par. = Parameters; Gr. = Group; M = mean; SD = standard deviation; df = degrees of freedom; d = Cohen’s d. † = Mann-Whitney significant.


Community oral history in the CLARIAH Media Suite Stories in Motion Re-use Collect Archive Collect and curate ✓Obtain high audio quality to optimize use of open source ASR webservice (CLST Automatic Speech Recognition for Dutch) and/or use time-coded interview summary template. ✓Create metadata with a DCMI template for object and collection level use. ✓Use thesauri to enhance discoverability of interviews in repositories and archives. Deposit and re-use ✓Use a GDPR compliant informed consent form using accessible language and a CC BY-NC-SA 4.0 data license. ✓Deposit community oral history archive at an appropriate repository, including DANS-EASY, enabling the CLARIAH Media Suite to harvest (meta)data from DANS. ✓Use an accessible deposit and processing agreement for the community archive collection owner. Results: ✓A toolkit containing a workflow, glossary and templates supporting grassroots heritage organizations in the Netherlands in making their oral history archives re-usable through standards for data interoperability, empowering them to work more autonomously. ✓The opportunity for scholars and students to search, bookmark and annotate community oral history in the CLARIAH Media Suite environment. Presented at DH Benelux 2022 RE-MIX - Creation and alteration in DH, 1-3 June University of Luxembourg Norah Karrouche, Vrije Universiteit Amsterdam Marjan Beijering, Erasmus Universiteit Rotterdam Partners: DANS (Femmy Admiraal), DIG IT UP (Simone da Silva), Stadsarchief Rotterdam (Marie-Claire Dangerfield) Visit the Media Suite Objective: Developing a model for making community oral history archives in the Netherlands accessible as sustainable data within the Dutch infrastructure for the Arts and Humanities CLARIAH. Method: In order to create a model we trained and studied volunteers from a community archive project (DIG IT UP) in a series of workshops, in cooperation with Stadsarchief Rotterdam. We examined the project partners’ approaches to oral history and their minimal requirements for re-use as archival and research data. Relevance: Community oral history is a popular method for grassroots organizations to explore histories of communities that have left few textual traces in archival institutions. Once collected, community oral history in the Netherlands is rarely stored and curated because grassroots organizations lack the awareness and/or digital skills to deposit oral histories as data in archives and repositories. Community oral history has the potential to uncover hidden voices and add to multiperspectivity in historical research.


Camille Landri, Ondřej Pejcha, Michał Pawlak, Andrzej Udalski, Jose L. Prieto, Manuel Barrientos, Jay Strader and Subo Dong Type of cataclysmic variable (CV), white dwarf accreting matter from a companion via an accretion disc. Accretion disc undergoes semi-periodic outbursts, best explained by the Disc Instability Model (DIM, Smak 1982): • Disc initially cold and stable. • Disc temperature and surface density increase as mass builds up. • Disc reaches critical conditions and local instability propagates: sudden rise in temperature and brightness (outburst). Dwarf nova (DN) outbursts typically last for a few days and recur every few weeks. OGLE-BLG504.12.201843: A POSSIBLE EXTREME DWARF NOVA Camille Landri 1, Ondřej Pejcha 1 et al., 2022, MNRAS, 517, 2746 OGLE-BLG504.12.201843 02 WHAT IS A DWARF NOVA? 01WHITEDWARFACCRETIONDISCCOMPANION PAPER REFERENCES ABOUT ME CV discovered with OGLE (Udalski 2015) by Mróz (2015). Peculiarities: • 300 days long outbursts recurring every 1000 days, • slow brightening before outburst, • small recurring flares in quiescence. 05 WHY IS THIS SYSTEM INTERESTING? PHOTOMETRY 03 Figure 1: Photometry of O-201843. Upper panel: Archival data from DASCH (Laycock 2010). Middle panel: Data from OGLE. Left panel: Small recurring flares. Right Panel: close-up of an outburst with dates at which spectra were obtained. We acknowledge the support by INTER- EXCELLENCE grant LTAUSA18093 from the Ministry of Education, Youth, and Sports. The research of OP has also been supported by Horizon 2020 ERC Starting Grant ‘Cat-In- hAT’ (grant agreement no. 803158). Ellipsoidal modulations during quiescence. In outburst, one minima disappears, the other deepens. The outbursts come from an accretion disc. Companion hides part of the disc Disc brightness hides orbital modulations Figure 2: Phased light curve of O-201843. Left: Quiescence. Right: Outburst. SPECTROSCOPY 04 Figure 3: Evolution of the Hα/HeII lines during an outburst. Balmer absorption lines: • early F-type companion and/or accretion disc. He II emission lines during outbursts. No common features of DNe: • Double peaked lines. • Emission in quiescence becoming absorption in outburst. Spectra consistent with cold accretion discs modelled with the DIM (Idan 2010). Likely a DN with extreme properties: long outburst cycles, relatively young companion. More importantly: • Small flares in quiescence have not been observed in other DNe. • Unusually cold disc in quiescence. • Brightness increase in quiescence is a prediction of the DIM, but is never observed in DNe. 0-201843 is a great system to learn more about thermally unstable accretion discs and requires further studies! 1Institute of Theoretical Physics, Charles University, Prague, Czech Republic 14 Idan et al., 2010, A&A, 519, A117 Laycock et al., 2010, AJ, 140, 1062 Mróz et al., 2015, Acta. Astron., 63, 313 Smak J., 1982, Acta. Astron., 32, 199 Udalski et al., Acta Astron., 65,1 ACKNOWLEDGEMENTS


RESEARCH INFRASTRUCTURES OF THE FUTURE ŁUKASZ BOLIKOWSKI, DOMINIKA CZERNIAWSKA, WOJTEK SYLWESTRZAK CENTRE FOR OPEN SCIENCE, ICM, UNIVERSITY OF WARSAW OUR VISION Large, open, distributed research infrastructures will play an increasingly important role in re- search communication. Their future will be driven by the following three factors. 1. Increasing role of (big) data in research. From social sciences to medical biology, researchers will analyze large, open data repositories. 2. Emergence of autonomous research agents. Research process will no longer remain a human- only domain, machines will be increasingly important actors. 3. New communication models, including dynamically changing, heavily interlinked, openly ac- cessible research objects of varying forms. BIG DATA Big data sets contain information with enor- mous commercial and cognitive value. As a con- sequence, big data sets and data-driven research become crucial in almost every discipline of sci- ence, from social sciences to medical biology. Progress in data-driven research is hindered by prevalence of information silos. Research in- frastructures of the future should aim at opening and integrating the said silos by creating solu- tions enabling sharing and merging diverse data sets, as well as providing advanced technologies and tools for scalable data analytics. Additionally, societal externalities of big data in science will stimulate emergence of new types of scientints, new practices of knowledge cre- ation, which in turn will require new standards of communication. AUTONOMOUS AGENTS In order to cope with information overload and large quantities of data, researchers will off- load part of their work to machines. Therefore, research discoveries will no longer be a human- only domain (cf. “Robot Scientist Adam”). Research infrastructure with medium- and long-term perspectives should take into account the increasing role of machines in research activi- ties. In particular, the said infrastructures should provide machine-friendly communication proto- cols and ontologies, capable of expressing hy- potheses, methodologies, and results. In consequence, autonomous research sys- tems will be not only consumers, but also pro- ducers of knowledge. NEW COMMUNICATION Open access research infrastructures of the future will enable new forms and models of re- search communication. Differences in publishing data and text will gradually disappear. Compound research ob- jects will be published, consisting of: text, data, interactive graphs, and audiovisual material (cf. Elsevier’s Article of the future). Content will be published in machine-readable form, levaraging semantic networks (e.g. Linked Open Data). Published objects will have more diverse forms and sizes, from nanopublications to book series and large data sets. Publications will have a dynamic character (e.g. executable papers, liq- uid publications), with comments and follow-up discussion.


Cognitive Psychology, 29(1), 123. Infant and Child Development, 13 Advances in Infancy Research, 5, 6995. Infancy, 17 Journal of Child Language, 41 Frontiers in Psychology, 4 Background: 1 Research Question Can we identify factors that influence the outcome of a segmentation study? age familiar novel 2,3 language background Database Information Effect Sizes for repeated measures “ ” ES References Open Science sites.google.com/site/InWordDB Join us! submit data Coordinate extensions ... Results g p 3951 infants ¾ ½ 200 250 300 350 400 Age (days) American English Canadian French European French Other Germanic Other Formula g) “ ” Study ID Participants Stimuli Procedure Results Effect size


Open Access Helpdesk: Behind the Scenes Andreas Kirchnera,b , Hannah Schneidera,b & Paul Schultze-Motela,c aBMBF-Projekt open-access.network; bKommunikations-, Informations-, Medienzentrum (KIM), Universität Konstanz; cHelmholtz Open Science Office, Helmholtz-Gemeinschaft open-access.network. Das von 2019 bis 2022 geförderte BMBF-Projekt open-access.network schafft ein neues Informations- und Vernetzungsangebot zum Thema Open Access. Die drei zentralen Ziele des Projektes sind die Bereitstellung von Informationen, die Kompetenzvermittlung sowie die Vernetzung der bestehenden Community. Lizenz: CC BY 4.0 Open-Access-Tage 2021 Online, 27.-29. September 2021 E-Mail Jederzeit: help@open- access.network Telefon Di & Do per Telefon: 14-16 Uhr unter (+49)7531/ 88 33 66 Chat Bisher zwei Tests mit versch. Tools, abschließender Test im Winter 2021/22 „Wenn ein Artikel als Erstveröffentlichung bereits eine CC BY-Lizenz hat, hat dann der Autor automatisch das Recht, die Verlags-PDF auf einem (institutionellen) Dokumentenserver abzulegen?“ „Gibt es neben Universitäten und nationalen Förderern noch Stiftungen oder EU- Organisationen, bei denen ein Zuschuss für eine OA- Veröffentlichung von Monographien möglich ist?“ „Vielen herzlichen Dank für diese schnelle und hilfreiche Antwort! Toll, dass es diesen Helpdesk gibt!" Zielgruppe: Wissenschaftler*innen und alle, die spezielle Fragen zu Open Access haben Anfragen bisher: • mit überwiegend hohem Komplexitätsgrad • von Wissenschaftler*innen und Open-Access-Professionals • thematische Schwerpunkte der Anfragen: Finanzierung von Open-Access-Büchern, Urheberrecht / Lizenzen und Qualitätssicherung Qualitätssicherung: Abstimmung der Antworten zwischen den Bearbeiter*innen, um eine hohe Qualität zu gewährleisten (bei E-Mail-Anfragen) Nachnutzung: Fragen und Antworten als Wissensbasis und Grundlage für die spätere Erstellung einer FAQ-Liste Expert*innen aus dem Projekt open-access.network antworten auf Fragen rund um das Thema Open Access Antwortzeit 2 Tage


IMPLEMENTATION OF TWO CIRCULAR ECONOMY DEMONSTRATION CASES IN PORTUGAL: CHALLENGES AND LEARNINGS Nazaré S. Almeida*, Susana Pereira, Pedro Branco, Luis Machado, Paula C. R. Pinto RAIZ – Forest and Paper Research Institute, Quinta de S. Francisco, Eixo, 3801-501 Portugal *Corresponding author: nazare.almeida@thenavigatorcompany.com; INTRODUCTION METHODS – PILOT PROJECT ROADMAP RESULTS AND DISCUSSION CONCLUSIONS REFERENCES XXV TECNICELPA - Conferência Internacional da Floresta, Pasta e Papel XI CIADICYP 2021, 9, 10, 11, 12 março 2021 – WebConference, Portugal This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730305 Most of the current waste streams generated by the Pulp & Paper industry (PPI) are currently used for energy recovery and land reconstruction. However about 15% of the produced waste are still disposed in landfills [1]. The Paperchain project comes up as an innovative demonstrative project that proposes factual applications for different underused PPI waste streams by proving the technical, economic and environmental feasibility on different sectors through implementation of five real scale pilots. [1] CELPA, Boletim Estatístico, (2019) (http://www.celpa.pt/wp-content/uploads/2020/11/BE_2019_WEB.pdf); The Portuguese circular case covers two types of construction materials: pre-cast concrete which is completely replaced by lime ash (CC1a) and bituminous mixture where the fine aggregate and filler is partial replaced by dregs and grits (CC1b). UNIQUE ENVIRONMENTAL TITLE (TUA) ARTICLE 32 OF DECREE LAW Nº 178/2006) LICENSING PROCESS A B C D After production, the precast concrete was discharged inside of columns and beams mould (A). During the discharge process, were installed thermal sensors (B) for strain and thermal internal monitoring in two beams. Once all the beams and columns were dried, SPRAL proceeded with land preparation as well as the installation of bases for columns fit (C). After the installation of the eight columns and the four beams resulted the final pavilion (D). E F G H I CC1a – PRECAST CONCRETE CC1b – ASPHALTIC ROAD The dregs and grits used on CC1b here dried (A) and sieved before the integration on the bituminous mixture. Once achieved the necessary moisture and dimension, the wastes were integrated in bituminous mixture and transported to NVG plant. Before the installation of the bituminous mixtures (reference, integrating dregs and grits) the underlying layer has prepared and cover with tack coat (B). The bituminous mixtures application at NVG facilities were made by Megavia (C). The asphalt preparation and application work was completed in 7 days, in the first week of March 2020 (D). ONE YEAR MONITORING OF ENVIRONMENTAL (LEACHATE) AND TECHNICAL (RESISTANCE) MONITORING Good technical performance No environmental issues (preliminary results) Legal constrains to overcome in favor of demonstrative project (behind paperChain) Raw material Lime Ash (≈ 3 ton) Pre-cast concrete preparation CC1a European Standard: EN 13225 Lime ash Limestone Pre-treatment (dry and sieve) Raw material Dregs & Grits (≈ 6 ton each) Transport Bituminous mixture preparation European Standard: AC 14 Surface CC1b Reference Dregs Grits ACKNOWLEDGMENTS More information of the Project: https://www.paperchain.eu/ LIFE-CYCLE ASSESSMENT PUBLIC DISSEMINATION ECONOMICAL ASSESSEMENT


Background image credits: NASA GSFC SVS https://svs.gsfc.nasa.gov/vis/a030000/a030900/a030998/1-SMD-FLEET_MASTER_11_23_2020.png Your Mission’s Open Science Journey A “Choose Your Own Adventure” Rebecca Ringuette, Heliophysics Digital Resource Library, NASA Goddard Space Flight Center on behalf of many contributors and supporters Link to corresponding slides. Motivation SPD-41a Moving Forward Contributors and Supporters Participation Instructions Sample Tasks (see slides for more!) Sign-up for Open Science 101 Research shows that incorporating open science practices accelerates our work and brings a diversity of perspectives to the table. While incorporation of open science practices is being encouraged from multiple entities, guidance directly relevant to missions is lacking. We present a range of practical suggestions based on the general characteristics of the PUNCH mission, NASA’s SPD-41a policy, and the input of a growing number of collaborators across science to encourage a welcoming, open, and collaborative atmosphere, including advancing mission science, improving the quality of the mission products, and building public trust. We welcome feedback and collaboration on these suggestions as we work towards a more complete list of possible open science activities for missions in Heliophysics and across science. Abstract DASH Workshop, Oct 9-11, 2023, at JHU/APL


Identification of the environmental impact of materials and processes Manufacturing and assembly of modular and reusable Electric Vehicle battery for environment-friendly and lightweight Innovative Electric Vehicles’ batteries for environment-friendly and lighweight mobility The MARBEL project is manufacturing the next generation of lightweight battery packs with the objective to accelerate the mass market take-up of electric and hybrid vehicles. MARBEL focuses on the need for fast-charging and long- lasting batteries to boost end-user demands, while applying high modularity and easy assembly and developing novel testing methodologies. The project aims at designing, developing and demonstrating new modular, compact, lightweight and high-performance battery packs, together with flexible and robust Battery Management Systems, for battery Electric Vehicles and plug-in hybrids, while maintaining safety levels, allowing fast, high-quality and cost-effective large-scale production by following eco-design principles. 2nd life reuse Solutions and processes for parts’ sustainable dismantling and 2nd life. Advanced BMS Flexible advanced Battery Management Systems (BMS). Ultra-fast charging Ultra-fast charging strategies and enhanced thermal management for an extended useful battery life. Design-for-Assembly & Disassembly Advanced battery packs using a Design-for-Assembly and Disassembly methodology. Ligthweighting the battery package Reducing the weight of the metallic parts. www.marbel-project.eu @Marbel_H2020 MARBEL H2020 project info@marbel-project.eu The project has received funding from the European Commission’s Horizon 2020 programme. Grant Nº 963540 3,5 years duration 1st January 2021 30th June 2024 Collaborative project 16 partners from 7 countries Budget 11,7M€, of which 9,8M€ funded by the European Commission under the Horizon 2020 research and innovation programme. Sustainable dismantling, reuse and second life applications of battery- pack components and materials Use of reciclable lightweight materials Duration 42 months A circular economy approach to EV battery technology MARBEL’s solution uses secondary raw materials and works on developing a more material and energy resource-efficient battery system, ensuring it is easy to dismantle, refurbish, and repurpose for second-life applications. Batteries for shorter charging time and longer journeys The project is developing modular and reusable EV battery technology, which has a longer lifespan of up to 300,000km and a greater energy efficiency in charging and energy use. MARBEL aims to reduce the environmental impact of batteries by 20% throughout their life cycle, ensuring they are easy to dismantle, refurbish, and repurpose for second-life applications. MARBEL aims to foster the acceptance and use of Electric Vehicles by solving two of the main critical points in consumer’s decision-making: limited vehicle autonomy and charging time, enabling to travel longer distances


Predicting masking release of lateralized speech Alexandre Chabot-Leclerc, Ewen N. MacDonald, and Torsten Dau Hearing Systems group, Department of Electrical Engineering, Technical University of Denmark, DK-2800 Lyngby, Denmark alech@elektro.dtu.dk Background The binaural mr-sEPSM (Bin-sEPSM) is a binaural exten- sion of the multi-resolution speech-based envelop power spectrum model (mr-sEPM; Jørgensen et al., 2013). It uses a short-term equalization–cancellation process (EC) to model binaural unmasking. It can account for spatial masking release with different masker types (speech- shaped noise (SSN), speech-modulated SSN, multi-talker babble, and reversed-speech) and a number of maskers, in both anechoic and reverberant virtual environments (Hawley et al., 2004; Beutelmann et al., 2010). It can also account for masking release of lateralized speech with one SSN masker lateralized to the same, or oppo- site side of the target (L˝ocsei et al., 2015). The cur- rent study investigated the same lateralized condition, but with multiple reversed-speech maskers where none, some, or all maskers were presented on the same side as the target. The binaural mr-sEPSM Peripheral processing S+N Equalization Peripheral processing Cancellation Modulation ﬁltering SNRenv Binaural selector N (α0, τ0) S+N N … … … … Right ear Left ear Binaural path Intelligibility conversion Fig. 1: Structure of the binaural mr-sEPSM. … Two monaural mr-sEPSM (see Fig. 2 for overview). … An EC process with channel-independent pa- rameters, computed in 20 ms windows, for the binaural unmasking (BU) pathway (Wan et al., 2014). … A binaural selector which selects the best of the “better-ear” SNRenv (BE; between left and right) and of the BU SNRenv in the multi- resolution representation. … Conversion to intelligibility using a Gaussian psychometric function. Fig. 2: Structure of the monaural mr-sEPSM (repro- duced from Jørgensen et al., 2013). Results Fig. 3: Top panel: Measured SRTs (open squares) and predictions by the Bin-sEPSM (blue squares) and the ‘left-’ and ‘right-ear’ models (red triangles) for each con- dition. S conditions are with SSN maskers and C con- ditions are with reverse-babble maskers. Lower panel: Replot as masking release relative to the S11 condition. Table 1: Model performances. The bias is the mean difference between predictions and data SRTs, and r2 is the correlation coefﬁcient. Model Bias r2 Bin-sEPSM -2.17 0.78 Left and Right 1.22 0.53 Stimuli and conditions Notation: # of co-located maskers # all maskers - example A T M1 M2 T M1 M2 - example B T M1 M2 T M1 M2 Fig. 4: Each stimuli is steered to the left or right, using a 680 μs lead at one ear (marked by rectangles). The monaural SNR is the same in both examples. Figure from L˝ocsei et al. (2015). … SRTs measured by L˝ocsei et al. (2015) using the open-set DAT corpus (Nielsen et al., 2014). … Maskers: … SSN matched to target (S1); … 2/4/8 reversed male talkers from GRID sen- tences (Cooke et al., 2006) (C2/C4/C8). Acknowledgements This research was supported in part by the National Science and Engineering Research Council of Canada (NSERC), Phonak, and the Technical University of Denmark. Discussion … The left- and right-ear predictions depend only on the total number of maskers, conﬁrming the constant SNR and energetic masking (EM) on a given side. … BU processing is required for predicting a re- lease from masking between all-collocated and all-separated conditions, e.g., between C44 and C04. … The Bin-sEPSM does not capture the increased SRT in the C22 condition due to increased confu- sions between target and maskers. … It is assumed that the Bin-sEPSM has perfect segregation between the target and maskers because of its inputs (speech and noise mixture, and noise alone). Therefore, it might require an estimate of the similarity between target and maskers to account for confusions, which is con- sidered a source of informational masking (IM; Watson, 2005). Fig. 5: Euclidean distan


Signal denoising in modular spiking networks Barna Zajzon1,2, Abigail Morrison1,3, Renato Duarte1 1 Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), J¨ulich Research Centre and JARA, J¨ulich, Germany 2 Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Germany 3 Software Engineering, Department of Computer Science 3, RWTH Aachen University, Germany Contact: b.zajzon@fz-juelich.de 1. Introduction • Topographic maps, comprising ordered projections among distinct neuronal populations, are a well-studied and pervasive structural feature of the cortical hierarchy, yet little is known about their functional relevance • We investigate the impact of key structural parameters of topography in the context of a signal reconstruction task in a sequential setup: modularity, map size and degree of overlap • Information transmission improves as topographic projections become more structured • This structuring, deﬁned here in terms of modularity, causes a disruption in the E-I balance and leads to the emergence of inhibition-dominated regimes • In some conditions, networks operating in such regimes exhibit spatial denoising properties and the task performance improves vastly with hierarchical depth 2. Network architecture & task νX m=0 m=0.8 m=1 neuron id (Ei) neuron id (Ei+1) additive Gaussian noise no noise ... encoder S1 Stimulus sequence S2 S1 S2 S1 S2 times [ms] M0 M2 M1 topographic modularity (feed-forward connections): m = 1 −p0 pc ∈[0, 1]. p0: inter-cluster connection probability pc: intra-cluster connection probability cluster: corresponding stimulus-speciﬁc populations • Modules are balanced random networks of LIF neurons (6 modules) • Structured stimuli drive speciﬁc neuronal clusters in M0, building a topographic map • Treat local microcircuits as state-dependent processing reservoirs (Reservoir Computing) [2] • Task: reconstruction of a continuous signal corrupted by Gaussian (spatial) noise 3.Signal reconstruction from noisy input • Modularity in the topographic projections is essential for accurate reconstruction of the input signal (see also [1]) • For m >∼0.82 gradual but signiﬁcant improvement in the decoding, in all modules • Spatial segregation is increasingly preserved along the topographic maps with larger m (denois- ing) ⇒information is encoded and transmitted primarily through the activity of these clusters 4. Modularity controls the E-I balance • Mean-ﬁeld analysis: ﬁring rates of the active (non-active) clusters increase (decrease) with m • For larger values of m, the E-I balance is disrupted. Neurons in clusters associated with the active stimulus receive signiﬁcantly more net overall excitation, the others become more inhibited • The spatially encoded signal is ampliﬁed through the network (in inhibition-dominated regimes) • Dynamical system’s perspective: these eﬀects arise due to a change in the eﬀective connectivity • As the population activity becomes increasingly entrained by input for larger m, the spectral radius contracts with network depth, suggesting a decrease in the richness of the dynamics • Modular projections onto the inhibitory populations stabilize the system 5. Constraints on the map size • Trade-oﬀbetween modularity and map size, lower bound on map size • Cluster overlap has a clear detrimental eﬀect on the task performance • Progressively larger clusters mimicking an anatomical feature of cortical maps [3] can lead to substantial performance improvement for moderate topographic precision Discussion • Structured connectivity, (possibly) in form of modular topographic projections, is required for accurate information transmission and can enhance spatial features of the input • The denoising phenomena relies on increasingly inhibition-dominated regimes in the hierarchy that emerge through modular projections • Role of topographic modularity in denoising can be understood as a transient, stimulus-speciﬁc change in the eﬀec


Introduction WiNGS is a federated platform aimed at privacy-preserving but cross-center collaborations on genomic data. It contains the necessary modules to annotate both variants and samples, control data access and perform in depth data analysis. It is an open-source and collaborative genetic variant interpretation platform to analyze DNA variants in both research and diagnostic settings. WiNGS can be accessed interactively using the web-based user-interface. Additionally, WiNGS offers RESTful API which can be integrated into existing routine pipelines. Federated approach for genomics data sharing and analysis N.Sattanathan1, B.Huremagic2, J.Vermeesch2,Y.Moreau2, G.Vandeweyer1 1. University of Antwerp, Belgium ; 2. Catholic University of Leuven WiNGS Infrastructure Analysis approach WiNGS features a powerful and versatile module for a variety of sample based analyses, including single sample and trio-based. Trio-based filtering can be applied on the precomputed subset of (non-) inherited variants. These can be de novo, maternal, paternal and recessive. Additionally, compound heterozygous variant filtering is also available as WiNGS REST API. Conclusion Access to WiNGS is provided as an online service equipped with multiple protection layers. First, the centrally managed access control list (ACL) regulates access to samples on a user, or center basis. Second, all sensitive data is fetched on demand from federated instances. Finally, all communication within the system and with the user is encrypted and authenticated. WiNGS Central Infrastructure handles access control, data visualisation and all communication with the federated client hubs(Center). Client hubs hosting WiNGS API are deployed on premise as containerized applications and manage all the sensitive data. WiNGS provides the means to apply genome sequencing both in routine diagnostics and research environments. It is a privacy-preserving federated solution which can be used interactively and also automated. REST API Integration Annotation Options Existing WiNGS infrastructure annotates variants with gene information, predicted functional effect, pathogenicity prediction, population frequencies and disease associations available in ClinVar. (Non) Coding Annotations Variant annotations framework will be extended to report and filter based on the below (non) coding annotations. Regulatory region observed in specific cell types... Splice AI and MaxEntScan – Splicing. Genome Wide Annotation of Variants. Availability www.wings-platform.org Functional filtering strategy can be applied on a single sample , trio-based subset or variant based subset. Variant based analysis approach, variant discovery is the multi-tier processing flow of WiNGS, allowing simultaneous querying of full-access and anonymized data. Querying for gene/region of interest, queries all clients for variants within the request data type. WiNGS Representational State Transfer(REST) API offers support to integrate WiNGS requests into existing pipelines. API Response is structured in JSON format.To get access to this feature, registered WiNGS users can generate API token using the WiNGS interface.