fairdataihub/poster-sentry-training-data huggingface dataset:
Embedded Application Server Gateways Local Servers Smart Phone (HDMI) Currently not supported Stroke-Back Patient System Gaming Client Kinect Server Sensor feedback Shimmer 2 Surface EMG BT 2.1 Wireless Sensor BAN Emotiv EEG MS Kinect for PC User Interfaces Physical Objects Smart TV (WEB Browser) Smart Table StrokeBack Back-Office Game Server PHR Server INTERNET The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 288692. Advanced Media Technologies for Stroke Rehabilitation Emmanouela VOGIATZAKI1 , Peter LANGENDOERFER2 and Steffen ORTMANN2 1 Research for Science, Art and Technology (RFSAT) Ltd, United Kingdom 2 Innovations For High Performance Microelectronics (IHP) GmbH, Germany Aims and Objectives of the “StrokeBack” Project : • Telemedicine supervision of rehabilitation exercise. • Continuous monitoring of impact of the exercises also in “normal” life situations. • Integrated telemedicine rehabilitation and Personal Health Records for improved long term evaluation of patient recovery. • Providing feedback to health care professionals on the impact of rehabilitation exercises Advanced Media in the Context of the Project: • Games: Application Interface (API) for supporting game development. • 3D body tracing: improving accuracy of 3D model matching and detection of precise hand and finger movements • Kinect & 3D Engines: mapping patient’s skeleton as avatar in commercial 3D Engines (e.g. CryTek, Unreal, etc). • Sensor Networking: sensor BAN for improved understanding of skeleton position and patient’s physiological condition System Architecture: Example Rehabilitation Games: Conclusions and Future Work: • Validate means of animating avatars with Kinect using commercial 3D engines (CryTek and/or other engines) • Develop algorithms for 3D modelling with Kinect for more accurate motion tracking • Integrate client system on a low-cost embedded platform (e.g. Raspberry PI @ 25USD) • Integration of rehabilitation gaming into Personal Health Record (PHR) system as a “treatment” • Research into EEG signal matching to physical motion deficiencies Managing Offline Operation Smartphone Smart-TV etc. Remote Server PHR Server Cheap Embedded Device Application Gateway Game Server Kinect Server Client WEB Browser Internet Operation modes: • Permanent network connectivity • Network connectivity: may or may not be maintained Sending medical data and game results back to PHR Downloading Games Cheap Embedded Device Remote Server PHR Server Game Server Client (WEB Browser) Kinect Server Internet Smartphone Smart-TV etc. Mixed-reality interaction with virtual (a) and physical objects (b) Virtual-Table supported interactions with physical objects (a) (b) Depth-mapping for body tracing and avatar generation
This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 732064 A project implemented by DataBio CONSORTIUM WWW.DATABIO.EU FarmTelemetry Karel Charvát Lesprojekt - služby Czech Republic charvat@lesprojekt.cz Karel Charvát Jr. Lesprojekt-služby Czech Republic charvat_junior@lesprojekt.cz Michal Kepka University of West Bohemia Czech Republic mkepka@kgm.zcu.cz Marek Šplíchal Czech Centre for Science and Society Czech Republic splichal@ccss.cz FarmTelmetery is an application designed to record, process and analyze data from tractors in connection with other data relevant to farm operations. Current functionality includes: displaying current position of tractors, recording positions and various variables such as fuel consumption over time, activities overviews for individual tractors, overviews for individual fields, comparison between defined parts of field (management zones). ? ? ? ? ? We currently install third party telematics units on tractors to record and retrieve data.The monitoring unit contains these parts: terminal with GLONASS/GPS positioning and GSM connectivity, RFID Readers, CAN sniffer. ? ? ? The solution uses library as a map client. HSLayers-NG In the future we plan to add the ability to work with the ISOBUS protocol if the tractor supports it or get direct access to data from services provided by some tractor manufacturers on the basis of a contract with these manufacturers and farmers who own the tractors. Our goal is to offer a tool that can handle and analyze data from tractors of different brands and models. FarmTelemetry uses to collect and store data. Senslog data model has been extended to include elements relevant for the monitoring of tractors and integration with other farm data. Senslog
III:Small: Partitioning Big Data for High Performance Computation of Persistent Homology PI: Philip A. Wilsey Institution: University of Cincinnati Award #: IIS-1909096 NSF CSSI PI Meeting, Seattle, WA, Feb. 13-14, 2020 IIS--1909096 Contact information: Philip A. Wilsey High Performance Computing Lab Dept of EECS, PO Box 210030 Cincinnati, OH 45221-0030 Topological Data Analysis/ Persistent Homology Exponential Complexity (time & space) ● Limited to ~10K points in R^3 (64GB RAM) Data reduction & Partitioning ● Use cluster centroids (samples) ● Use clusters +δ as partitions Parallelism and concurrency Data reduction: 27K → 300 points Utilizing k-means++ Data Sampling and Partitioning Witness complex Random Sampling Clustering (enables upscaling) ●Density-based: DBScan ●Grid-based (distance-independent) ●Partition-based: k-Means++ ●Hierarchical-based: Agglomerative 3-4 orders of magnitude perf gains Output Analysis Quantitative Analysis ●Persistence Interval Comparison: ●Bottleneck, Wasserstein, Heat Kernel Distances ●Performance: ●Runtime, Memory use, Scalability ●Data Sampling & Partitioning: ●Persistent Homology preserving sampling ●Persistence interval preservation ●Topological feature preservation Qualitative Analysis ●Barcodes ●Persistence Diagrams ●Landscape Diagrams ●Persistence Images ●Feature Boundary Extraction Data Reduction performance Improvements Reduced input points results in: ●Reduced Memory Footprint ●Faster CPU and Wall Time ●Approximations of large features with bounded error ●Upscaling to improve boundary identification of topological feature 0.9 0.75 0.5 0.25 0.1 1.00 10.00 100.00 1,000.00 10,000.00 100,000.00 Two Circles Two Moons Percent of Original Speedup
Wir unterstützen Forscherinnen und Forscher ■in den Sozial, Verhaltens-, Bildungs- und Wirtschaftswissenschaften, ■bei qualitativen und quantitativen Forschungsdesigns, ■als Datennutzende und Daten- produzierende. Unsere Ziele – Schlaglichter aus dem Arbeitsprogramm ■Zusammenarbeit von FDZ vertiefen: Kompetenzaufbau des FDZ Personals gemeinsam gestalten ■Datenqualität und Potenzial für die Wiederverwendung von Daten erhöhen: Gemeinsames Portfolio professioneller Services für ein auf qualitative Daten und Forschung zugeschnittenes FDM entwickeln ■ Als Teil von KonsortSWD bietet der RatSWD Wissenschaft und Datenproduktion ein Austauschforum und ist Ihre Anlaufstelle zur Verbesserung des Datenzugangs. Schreiben Sie uns auf www.konsortswd.de oder an info@konsortswd.de! Wer wir sind Datenzugang Unsere Forschungsdatenzentren (FDZ): der Schlüssel zu qualitätsgesicherten Daten für Ihre Forschung. Bereitstellung von Forschungsdaten Forschungsdatenmanagement beginnt bei der Datenerhebung. Technische Lösungen Metadaten pflegen, Daten finden – bei uns ist alles FAIR. Wir bieten Beteiligung der Communities Unser Anspruch ist es, das Angebot rund um den Forschungsdaten­ zugang nach Ihren Wünschen zu entwickeln. Deutsches Zentrum für Hochschul- und Wissenschaftsforschung Dr. Bernhard Miller, GESIS – Leibniz-Institut für Sozialwissenschaften Susanne Zindler, RatSWD Geschäftsstelle Weitreichende und nachhaltige Forschungs- dateninfrastruktur der FDZ Dauerhafte Sicherung des flexiblen Zugangs zu sensiblen Daten Starke Qualität durch FAIRe Daten und Metadaten Gute Daten. Bessere Forschung!
Academic Titles and Open Science Perspectives Matic Bradač, Tomaž Ulčakar Investigating the Researchers' Attitudes at the University of Ljubljana School of Economics and Business, with Insights into the Development of Central Economics Library Services PURPOSE Perception of OS Examining the influence of academic title on perception of practices. Integration of OS Exploring the integration of practices at the institution. New Library Services Developing new services based on survey results. APPROACH Online Survey Questionnaire was sent in May 2022 to 171 UL SEB researchers with 40% response rate. Statistical Analysis Binary logistic regression was used. An aca- demic title was the independent variable and agreement with individual OS practices was the dependent variable. Small Sample Size Focusing on a single institution limited the ability to make broader conclusions within the academic sphere. RESULTS Academic Titles and OS Practices Statistical analyses showed no significant correlation between academic titles and support for OS practices. Attitude towards OS practices While most researchers expressed belief in the benefits of OA publishing, certain OS practices encountered disapproval. New Library Services Varying levels of success in the Central Economics Library's efforts to raise awareness about OS, with strong support for OA publishing but mixed support for other OS practices. New or improved services based on survey results are: promotion & consultations on OS, online guide, depositing publications, open data assistance. OA PUBLISHING IS USEFUL FOR SCIENCE RESERCH DATA SHOULD BE OPEN CITIZEN SCIENCE IS USEFUL FOR RESEARCH Assistant Assist. Professor Assoc. Professor Full Professor Assistant Assist. Professor Assoc. Professor Full Professor Assistant Assist. Professor Assoc. Professor Full Professor Agree Undecided Disagree
Q. Coppée1,2, J. Müller1,2, S. Hekker1,2 1 Heidelberg Institute for Theoretical Studies, Germany 2 Heidelberg University, Heidelberg, Germany quentin.coppee@h-its.org Various morphologies observed in the power spectra of suppressed-dipole mode red giants Fig. 1: Morphologies of stars with suppressed dipole modes, as observed in the power spectrum of RGB stars. The regions of the radial, dipole, quadrupole and octupole modes are highlighted respectively in black, blue, orange and yellow. Fig. 3: We ﬁnd a signiﬁcant number of suppressed-dipole mode red giants that had a radiative core on the main sequence. This means that these stars potentially did not have a magnetic dynamo in their core, contrary to what Stello et al. (2016) found. The observed morphologies appear to be related to νmax (i.e. evolution along the RGB). We ﬁnd that a signiﬁcant number of our stars should not have had a convective core when hydrogen core-burning took place. This suggests that these stars did not have a magnetic dynamo in their core on the main sequence. Fig. 2: Distribution of νmax per observed morphology. Red giants with fully suppressed dipole modes have a higher νmax than partially suppressed red giants KIC 11099144 KIC 10779177 KIC 6975038 KIC 6206407 l = 0 l = 1 l = 2 l = 3 convective core on MS (solar metallicity) radiative core on MS (solar metallicity)
Funders myrovlytis trust API With Europe PMC Annotations Platform anyone can harness the power of text-mining for the beneﬁt of their own research. Removing barriers to text analytics Text-mining data covers diﬀerent research outputs: research articles, patents, preprints, theses, etc. It includes abstracts as well as full text for open access articles. Over 500 million annotations of biological concepts, events and relations. All text-mining data is freely accessible via RESTful API in a variety of formats. Comprehensive dataset of biological annotations 500 million annotations gene ontology gene/ protein mutations protein interactions diseases organisms phospho- rylation gene- diseases accession numbers transcription factor-target gene function chemicals How do you get hold of publicly available text- mining data that can help you ﬁnd biological connections in research literature? Europe PMC provides an open platform where experts share their text-mining outputs with the wider community Public text-mining platform Europe PMC Annotations Platform EXTRACTING RESEARCH EVIDENCE FROM BIOMEDICAL PUBLICATIONS
Combining models and observations for a more inclusive science with the Vera C. Rubin Observatory S. Ustamujic1, R. Bonito1 , L. Venuti2 1 INAF-Osservatorio Astronomico di Palermo, Piazza del Parlamento 1, 90134 Palermo, Italy 2 SETI Institute, 339 Bernardo Avenue, Suite 200, Mountain View, CA 94043, USA AIMS In this project, we aim to investigate the variability in YSOs at different time scales (from hours to years). Email: sabina.ustamujic@inaf.it NGC 6530 stellar cluster - Kepler satellite Figure adapted from Venuti et al. (2021), AJ 162, 101 ABSTRACT The study of Young Stellar Objects (YSOs) and their variability (related to e.g. accretion, flares, rotation …) is one of the scientific topics that will take advantage of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) in the context of the Transients and Variable Stars (TVS) Science Collaboration (SC). In order to support a more inclusive participation to Rubin LSST activities, we aim to create a catalogue of publicly available interactive 3D graphics and 3D printed kits based on the modeling and interpretation of a number of physical processes causing photometric variability in YSOs that we plan to investigate with future Rubin LSST data. This action is in line with the Justice, Equity, Diversity & Inclusion (JEDI) group of the TVS SC, and will help to disseminate some of our results, and to adequately present Rubin/TVS science to visually impaired researchers and members of the community at large. Here we present the project and the first models of our catalogue. + CATALOGUE Our final goal is to create a catalogue of publicly available interactive 3D graphics and 3D printed kits to adequately present Rubin/TVS science to visually impaired researchers and members of the community at large for a more inclusive science. Here we present one of our preliminary models. VARIABILITY IN YSOs YSOs are complex systems formed by a central star surrounded by a circumstellar disk, which exhibit significant variability due to various dynamical processes: magnetically- channeled accretion streams transfer material from the disk to the star, and supersonic jets and outflows eject material from the system. RUBIN-LSST The goal of the Vera C. Rubin Observatory project is to conduct the 10-year Legacy Survey of Space and Time (LSST), which will deliver a 500 petabyte set of images and data products that will address some of the most pressing questions about the structure and evolution of the universe and the objects in it. The Transients and Variable Stars (TVS) Science Collaboration (SC) will study Young Stellar Objects (YSOs) and their variability taking advantage of the huge amount of data that the survey will obtain. ACTIVITIES 1) Analyzing YSO light curves from public datasets of young star-forming regions from available large-scale surveys in preparation for Rubin LSST data. 2) Developing models and 3D renderings reproducing the geometry of star-disk systems that could explain the variability observed in the data and that would give rise to specific light curve patterns. 3D model of an accretion disk with the inner disk warped
Many projected impacts on global fisheries. Coastal artisanal fisheries are especially vulnerable • Small boats means fishers have limited ability to move with the fish • Limited to the coastal region • Limited resources to change gear • Strongly impacted by coastal upwelling and coastal hypoxia The impacts of climate change are exacerbated by a disparity in available resources 10 Days of Biriyani and Coding: Building Bridges for Indian Ocean Rim Marine Scientists Across the “Big Data Geoscience” and Cloud–computing Divide Elizabeth E Holmes1, Aditi Modi2, Kumar Nimit3, Smitha B R4, Swarnali Majumder3, Sourav Maity3,5 and TVS Udaya Bhaskar3 (1)NOAA Northwest Fisheries Science Center, Seattle, United States, (2)Indian Institute of Tropical Meteorology, Pune India, Indian Institute of Technology Bombay, India, Pune, India, (3)Indian National Center for Ocean Information Services, Hyderabad, India, (4)Centre for Marine Living Resources and Ecology, Ministry of Earth Sciences, Kochi, India, (5) Coastal Observatory and Outreach Centre, Vidyasagar University, Midnapore, India First event of the UN Decade of the Ocean capacity development initiative “Devising Early-Career Capacity Development - Indian Ocean” Report on the ITCOocean machine learning and species distribution course and hackweek Indian Ocean Coastal communities depend on fisheries for food and livelihoods The disparity extends to Indian Ocean Rim scientists – the people who will lead the science and innovations. Early career scientists are missing out a crucial area of advancement in earth sciences in the era of “big data” --- training in the new cloud-optimized geospatial tools and platforms. Ocean climate change is here and will continue Image shows increase in Ocean Heat Content relative to 1981-2010 base line Cheng, L. J., and Coauthors, 2021: Upper ocean temperatures hit record high in 2020. Adv. Atmos. Sci., 38(4), 523−530 60 ocean scientists from across India & Bangladesh Experiential Learning Lessons Learned • Visas were a major barrier for African invitees. Hold local workshops in E Africa. • Internet speed! Test everything on slow internet. • Travel cost is a barrier for participants. • Need a more coders. The few coders were stretched thin. IDEATION PITCHING TEAMWORK PRESENTATION Thank you to the ITCOocean Hack2week supporters
Efficient susceptibility screening of submarine basalts for paleomagnetic research Hong Yang (hyang777@stanford.edu), Sonia M. Tikoo | Stanford Univ. Claire Carvallo | IMPMC, Sorbonne Univ. Dario Bilardello, Peter Solheid | IRM, U of Minnesota Kevin M. Gaastra, William W. Sager, Sriharsha Thoram | Univ. of Houston IODP 391 Scientists (scan the QR code for full list) We use amplitude-dependent magnetic susceptibility to pre-screen basalt samples and select the most effective demagnetization method. Our method is as quick as two minutes per sample and non-destructive to the magnetic information in the sample. Image credit: IODP, Blastcube from wiki Alternating Field (AF) Thermal B7151, AD = 53% B5981, AD = 14% B4591, AD = 5% B2861, AD = 1% Thermal Thermal Thermal AF AF AF AF A B C D unit = 5×10-4 Am2kg-1 unit = 1×10-3 Am2kg-1 unit = 2×10-4 Am2kg-1 unit = 2×10-4 Am2kg-1 unit = 5×10-4 Am2kg-1 East Up, North East Up, North Up, North Up, North East East East East East East Up, North Up, North Up, North Up, North AF χ χ χ χ Selecting a demagnetization method requires information of individual sample’s magnetic properties: • Curie temperature • Thermal stability • Magnetic coercivity • AF field response Susceptibility amplitude dependence of Fe-Ti-O minerals can correlate well with these properties We measured the the amplitude dependence of magnetic susceptibility and use it to test on Expedition 391 basalt samples with a variety of: • Oxidation states (degree of weathering) • Emplacement types • Titanium content Amplitude dependence is well correlated with Ti content and freshness of the Ti-magnetite in the basalt, regardless of the mineral content. • High slope corresponds to low saturation magnetization values, which indicates high Ti content • Lower slope means either lower Ti content or alteration due to weathering. Amplitude-dependent • Reversible k-T curve • Low Curie temperature Amplitude-independent • Thermal instability (indicating maghemitization) • Formation of nearly stoichiometric magnetite during heating • High-AD sample (A) is characterized by low coercivity, most of its magnetization lost after 7-10 mT. • Low-AD samples (C,D) are affected by alteration and their thermal demagnetization results can be noisy • Intermediate-AD sample (B) performs well in both thermal and AF treatments. Amplitude dependence of basalt samples in this study Acknowledgement: This research used samples and data provided by the International Ocean Discovery Program (IODP) and the JOIDES Resolution Science Operator. Funding was provided by NSF, an IRM visiting student fellowship, and the USSSP. Amplitude dependence is correlated with thermomagnetic behaviors. Motivation During IODP Expedition 391, 20%-40% of shipboard demagnetization experiments on submarine basalts failed. Can we save time and resources by pre-screening samples to select the best demagnetization method? Proposed Method Amplitude dependence can differentiate fresh high Ti basalts from other samples. Amplitude dependence can help us choose the demagnetization method. Amplitude dependence (AD) = (χ300A/m- χ30A/m)/(χ30 A/m)
Graph de-duplication: challenges & requirements De-duplicating the OpenAIRE Scholarly Communication Big Graph Claudio Atzori, Paolo Manghi, Alessia Bardi Institute of Information Science and Technologies, Italian National Research Council (ISTI-CNR), Pisa {name.surname}@isti.cnr.it Results ➢GDup Open Source Software: https: //doi.org/10.5281/zenodo.292980 ➢GDup is today a production service (TRL9) of the OpenAIRE infrastructure ➢GDup is used to de-duplicate literature, datasets, software and organisation entities to ensure sensible statistics are delivered by the OpenAIRE infrastructure. Ongoing & Future work ➢Make it a fully user-friendly product, i.e. completion of data curators GUI ➢Address further functional scenarios, e.g. crowd-sourcing deduplication by delegating to a set of experts the addition of assertions to clean deduplication results and build ground truth ➢Apache Spark to implement candidate identification and matching phases ➢Apache GraphX to implement the graph disambiguation phase Acknowledgments This work is partially supported by the European Commission as part of the projects ➢OpenAIRE2020 (H2020-EINFRA-2014-1, Grant Agreement 643410) ➢OpenAIRE-Advance (H2020-EINFRA-2017-1, Grant Agreement 777541) Solution proposed: GDup GDup is an integrated, scalable, general-purpose system for entity de-duplication over big graphs. GDup supports data curators with out of the box functionalities they require to support an end-to-end entity deduplication workflow over a generic input graph. GDup is not about better recall/precision for given deduplication problems, but rather about provision of tools enabling data curators to concentrate on modeling and customizing their deduplication solutions without bothering about the extra conceptual and technical challenges that such task implies. End-to-end workflow enabling data curators at: 1. Importing their graph in the system 2. Configuring for each entity type the relative duplicate identification “configurations” 3. Managing Ground Truth generation and injection 4. Configuring graph disambiguation strategies 5. Supporting data curators at manually fixing the results of deduplication 6. Exporting a disambiguated graph An academic graph aggregating all information required to deliver monitoring tools The scholarly graph is obtained as continuous aggregation of bibliographic metadata records originating from a variable set of information systems (repositories, publishers, funder databases) with heterogeneous and duplicated content. Main entities of the graph are organizations, results (literature, datasets, software, other products), funders, projects, and data sources. The graph counts ∼26Mi result entities, 2,5Mi projects, with∼40Mi links between them. Title Authors Date OpenAIREplus - OpenAIRE APIs for third party services. D8.6 Manghi et all 2012-06-12 OpenAIREplus - OpenAIRE APIs for third party services. D8.4 Manghi, P.; 2012-12-06 OpenAIREplus - OpenAIRE APIs for third party services. D8.6 Manghi Paolo NA 1 2 3 4 5 6