fairdataihub/poster-sentry-training-data huggingface dataset:
CRIRES+ at the Very Large Telescope Oered from ESO Period 108, starting 2021-10-01 with the following limitations: @alexislavail alexis.lavail@physics.uu.se Spectral grasp ~ 0.3 μm* *varies with wavelength Collecting power ⌀ 8 metres at VLT UT3 Melipal Expected RV precision 3 m/s Calibration sources UNe lamp Gas cells Fabry-Perot étalon Wavelength coverage Y J H K L M 0.95 μm 5.2 μm spectroscopy R >80000* (0.2" slit-width) R ~50000 (0.4" slit-width) Resolving power *nominally R ~100,000 for the 0.2" slit R>~80,000 was measured at commissioning. We investigate and try to mitigate this. only spectroscopy (no spectropolarimetry) In AO: natural guide star = target = guiding star no extended targets (only compact sources) No AO: target = guiding star The Call for Proposals is out! https://www.eso.org/sci/observing/phase1/p108/ Alexis Lavail1,2 & the CRIRES+ consortium 1. Uppsala University 2. The Swedish Collegium for Advanced Study More info at https://www.eso.org/sci/facilities/paranal/instruments/crires.html The proposal submission deadline is 12:00 CET on 2021-03-25 Online poster at: http://aalex.is/posters/cs20p5
TASKS RELATIONS ATRIUM WP7 end-user researchers workshops and trainings service and providers skills initiatives gaps usability training materials require connectedTo attend acquire increase teachAt identify improve use identify identify identify identify articulate coordinate contact KEY TERMS NETWORKING WORKSHOPS WP7 GOALS T7.3 The ATRIUM Curriculum General assessment of the skills require d for the active use of services provided by ATRIUM RIs (atten tion to the digital gap) Set of recommendations on topics and modalitie s of training materia ls available and to be developed as part of the ATRIUM Curriculum (T7.3) Assessment methods: desk research (build on previous work) surveys workshops feedback from the forums/training (T7.2) T7.2.1 The ATRIUM Researcher Forum: fostering two-way communication understanding researchers’ needs involving service improvement facilitating the use/reuse of services T7.2.2 The ATRIUM Mutual Learning Exercises (MLE) for providers: addressing (meta)data interoperability facing quality challenges sharing knowledge discussing best practices FitSM training Developing an integrated set of courses (hosted , maintained, and sustain ed on DARIAH-Campus) Embedding the description of ATRIUM services into the pedagogical narrativ e focused on cross-disciplinary digit al methods, wide-ranging competenc ies (FAIR, OS) & disciplinary-spec ific training requirements Maximising the potential of ATRIUM datasets , workflows, demonstrato rs & services to be used in educational settings Creating a robust framework for open peer review assessment o f different research outputs (da ta publications, training materia ls, software, exhibitions, interac tive visualisations, etc.) Contributing to maximise the quality and impact of Arts an d Humanities research in Euro pe in the context of initiatives s uch as CoARA Incentivising Arts and Humanities users t o follow the principl es of Open Science FOSTERING CROSS-DISCIPLINARY RESEARCH THROUGH TRAINING AND OPEN SCIENCE PROJECT GOAL Authors: Cezary Rosiński cezary.rosinski@ibl.waw.pl Tomasz Umerle tomasz.umerle@ibl.waw.pl T7.1 The ATRIUM Skillset Assessment SKILLS AND GAPS STRUCTURED LEARNING MAXIMIZE IMPACT Facilitating workshops and training sessions t o connect end-us er researchers with serv ice and data providers Transforming training materials into onlin e course curricula a nd organize formal and informal sessions Improving research outcomes by implementing a peer-revie w assessment framework for t he humanities and expand ing impact through exte rnal engagement Assessing skills essential for the arts an d humanities communi ty and identifying gaps in transfer T7.2 The ATRIUM Bridge T7.4 The ATRIUM Peer Review Framework ATRIUM's project goal is to advance frontier knowledge and facilitate access to leading research infrastructures in arts and humanitie s (DARIAH), archaeology (ARIADNE), languages (CLARIN), and scholar ly communication (OPERAS). The Work Package 7 (WP7) of the proj ect focuses on promoting interdisciplinary research through training and open science initiatives.
Affective Modeling of Users in Cognitive Elements Exercise Program for Design Creativity Enhancement Yong Se Kim, Mee Kim, Yun Kyoung Shin, Hyejung Henny Park, In-Sook Lee Post-test Improvement over Pre-test Association Rules: Less Negative Emotion Learning Improvement Creative Design Institute, Sungkyunkwan University, Korea Creative Design Learning Framework Affective Modeling Experiment Result Design Creativity Cognitive Element Exercise Program Filling Black Box Classification Negation Sensitization Making Stories Decision Tree Experiment Process: Pre-test Post-test Cognitive Elements of Creativity Flexibility http://pssd.or.kr Product- Service Systems Design http://cdi.skku.edu Self-Reporting Format Originality Elaboration Problem Sensitivity Cognitive Elements Fluency Pre-test: Reading Devise Concept Design Exercise Program Post-test: Camera Device Concept Design Pre-test and Post-test: Conceptual Design Task Contact: yskim@skku.edu
Led by STAKEHOLDERS CHALLENGES AMBITION Improve pricing policies system with local stakeholders Maintain the quality of surface water, fight against saline untrusions Need of investment in infrastructures Improve the socio-economic performance of local water pricing policies Improve the vertical (between stakeholders at different levels) and horizontal (between local stakeholders) dialogues Fostering the co-construction of public water policies, with a focus on the crossed sectors Improving the citizen engagement by providing relevant socio- economic information and tools Local Water Agency DEAL La Réunion Parliamentary Attaché Chamber of Agriculture Electricité de France Water compagnies Representatives of water users INNWATER PARTNERS RÉUNION ISLAND France Pilot Site #1 CONTACT: Michel PAUL - michel.paul@univ-reunion.fr This project has received funding from the European Union’s Horizon EUROPE research and innovation program under grant agreement No. 101086512. This project was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [grant number 10066637]. contact.innwater@oieau.fr www.innwater.eu © OiEau 2023 @InnWater_EU @InnWater A consortium gathering 13 organisations (Research and Technology Organisations, SMEs, end users, associations with EU and international coverages). Promoting social innovation to renew multi-level and cross‑sector water governance
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 REGIONAL SYSTEM OF ALTERNATIVE ENERGY SOURCES dr. Marcin Rabe, Institute of Management, University of Szczecin; Centre of Sociological Research, Szczecin, Poland; marcin.rabe@usz.edu.pl dr. Katarzyna Widera, Faculty of Economics and Management, Opole University of Technology, Opole, Poland; k. widera@po.edu.pl dr. Andrzej Gawlik, Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, Szczecin, Poland; andrzej.gawlik@zut.edu.pl mgr Tomasz Pudło, Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Szczecin, Poland, pudlo.tomasz95@gmail.com Methodology Results The main goal is to identify and analyze the conditions relating to the conduct of regional energy policy, with particular emphasis on unconventional energy sources occurring in a given area. The methodological goal is to build a mathematical model of the regional energy system, related to the region's development strategy in specific time periods (years), and to generate development scenarios taking into account sustainable development criteria, i.e. economic, ecological and social. The aim of the work is to propose to regional authorities the desired direction of energy policy development in the analyzed periods and to offer a model for creating energy policy in other local government units: counties and communes. Research hypothesis It is advisable and possible to build a regional system of obtaining energy from alternative sources, meeting the principles of sustainable development, increasing energy security and increasing energy efficiency and full use of renewable energy sources. The research also formulated three specific hypotheses. The first one concerns the lack of interest in building regional energy systems, both on the part of the central energy sector and regional and local authorities, caused by the variability of EU and national regulations, which do not support the development of prosumer and renewable energy. The second concerns the lack of appropriate infrastructure for the development of renewable energy The third one concerns the high risk and uncertainty of investments in renewable energy in the current legal and economic conditions . Results .
To achieve the objectives, the following tasks will be carried out: Design of a separation system for the closed-loop superheated steam drying process in the paper industry Felipe de Oliveira a*, Marcel Meinders b, Edwin Zondervan a a University of Twente, Drienerlolaan 5, 7522 NB, Enschede b Wageningen University & Research, Droevendaalsesteeg 4, 6708 PB, Wageningen Methodology Introduction Questions / Tips References Objectives ➢Validated contaminant separation model with device cleaning mode ➢Optimized operational scheduler to minimize energy use and CO2 emissions ➢Feedback control loop ➢User-friendly digital twin The paper industry is highly energy-consuming with the paper drying step accounting for 70% of the energy requirements, i.e. there is scope for improvement [1], [2]. Scheme of the main units of a typical paper-making process De-barker Chipper Digester Dryer Mixer Wood Paper Superheated steam drying can reduce energy use by 70% compared to traditional air drying [2]. As the paper is dried, the steam is contaminated, causing operational issues and reducing the efficiency of the process. Effective contaminant control is needed for a closed-loop process. [1] – Eurostat: Final energy consumption in industry - detailed statistics – Retrieved from: https://ec.europa.eu/eurostat/statisticsexplained/index.php?title=Final_energy_consu mption_in_industry_- _detailed_statistics#The_largest_industrial_energy_consumers_in_the_EU [Accessed on 2024-07-05] [2] – Wilk, V., Knöttner, S. B., Drexler-Schmid, G., & Barz, T. (2023). Superheated steam drying for paper production: process efficiency assessment. In Proceedings of ECOS 2023: 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (pp. 1411-1421) https://doi.org/10.52202/069564-0128 - Units of the paper process scheme designed by Freepik Separation / device cleaning model • Review separation technologies • Analyse contaminated steam composition • Select separation technology • Model contaminant separation from steam • Model device cleaning process • Integrate models with switching capability • Experimental validation of model Process optimization • Identify performance indicators • Optimization constraints • Develop an optimization algorithm • Propose an operational scheduler System Implementation • Develop the feedback control loop • Create the digital twin Separation mode Device cleaning mode Feel free to ask or send me an e-mail using the QR code below Expected outcomes Deliverables on the left with the related tasks on the right Optimized operational scheduler Controller Process Correcting device Measuring device Setpoint Feedback control loop and digital twin
IODP Expedition 393: South Atlantic Transect 2 Chiara Amadori, University of Pavia THE ITALIANS ON BOARD! PHYS-PROP CORNER CORE REPOSITORY College Station, TX • The South Atlantic Transect (SAT) The SAT drilled seven sites on 7, 15, 31, 49, and 61 Ma ocean crust along a slow- to intermediate-spreading rate Mid-Atlantic Ridge at ~31°S. This was possible thanks to two engineering Expeditions 390C & 395E and two scientific Expeditions 390 & 393. STRATIGRAPHIC CORRELATION • Post-cruise activities • The Editorial meeting and basement Sample Party in College Station (TX, USA), November 2022: • During the Editorial Meeting, a selected group of the science party from both expeditions works to produce a complete summary describing methods and preliminary results of the Expeditions 390 and 393. These final proceedings will be available to the entire scientific community by 2024. • We sampled basement rocks to perform additional paleomagnetic and physical property analyses. • The XRF-scan analysis in College Station (TX, USA), November 2022: • X-ray fluorescence (XRF) core scanning was conducted on all sediment core sections used to construct the Splice. Data report with these results will be published in January 2024 (Amadori et al., 2024, Site U1560). • Sediment Sample Party in Bremen (Germany) in January 2023: • We sampled sedimentary rocks (stored at MARUM, in Bremen) to perform additional geochemical analyses. • The ECORD Training School in Bremen (Germany) in March 2023. Travel grant provided by IODP Italia. • The ECORD Research Grant for outstanding Early Career Researchers 2023: 3000 EUR. Project Title: Investigating the effects of a novel analytical method on Moisture and Density estimates: porosity correction of basement rocks from the South Atlantic Transect (X390-393). • Exp. 393 – Physical Property Specialist & Stratigraphic Correlator on board The Physical Property Specialist The Phys-prop Specialist characterizes the physical, chemical, and structural properties of the recovered sediment and hard rock cores. Physical properties I’ve measured include bulk density, natural gamma radiation, magnetic susceptibility, compressional and shear velocities, thermal conductivity, porosity, shear strength, and electrical resistivity. They were characterized using a variety of techniques and methods on core sections and discrete samples. The Stratigraphic Correlator As the Stratigraphic Correlator aboard, I used petrophysical and paleomagnetic data to correlate adjacent holes and construct a a complete stratigraphic section for sites drilled during X393. This requires multiple holes at a given site referenced to a composite depth scale (i.e., Splice Section).
While productivity is typically the focus of grassland site management, plant biodiversity is another important characteristic of grasslands, which does not necessarily coincide with high productivity. However, both are important for long-term feed and bioenergy supply, food security, and the diversity of other trophic levels (e.g. pollinators). We therefore investigate how different climate change scenarios, soil conditions and management regimes affect grassland biodiversity and productivity. We apply the grassland model GRASSMIND and develop it further. GRASSMIND is an individual-based, mechanistic ecological model. For a given grassland site, it explicitly simulates the processes that let biodiversity dynamics emerge: individual plants can establish, grow and die. q For the pilot study, we focus on one site in Germany (GCEF, run by UFZ) with multiple grassland plots under different, well-controlled management and climate conditions. Observations were biomass, vegetation cover, mowing yield and leaf area index (2013-2022)K q The pipeline elements developed (cf. UC scheme below) include data preparation as input for simulations or as patterns for model recalibration. Also scripts were developed that minimize deviations between observations and model results (parallelized, using Matlab), and the model was and is further improved. q GRASSMIND runs on LUMI, incl. parallelization over hundreds of cores. LUMI results match accurately to those from Windows or the UFZ Linux cluster. Test runs on LUMI were used to assess the number of single stochastic replicate runs required such that the mean results get approximately invariant. We will test the transferability of the recalibration to Python and LUMIK q We also developed result visualization scripts, so far specific to the pilot study. They can be adapted to suite data from additional sites. Introduction Technical description Outputs Biodiversity Dynamics Grassland Biodiversity Dynamics Authors: Thomas Banitz, Franziska Taubert Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany Biodiverse grassland in Germany. © André Künzelmann, UFZ Use case DT development scheme
Science–media online training: challenges and opportunities • 6 training sessions • 5 topics • 7 trainers • 76 participants • 17 countries • Each session: 5-12 hours Planned (for 2020) 3 day meeting, Toulouse Implemented (during 2021 and 2022) Six online sessions Topics and trainers: • Combining visual and written elements in science communication Filipa Vala and Gil Costa • Science journalism Peter Hyldgård • Science and the Media: A match made in Heaven Sara Sá and Renata Pinto • Writing about science for the media Rita Ponce • Low-cost science video: from production to communication Miguel Ferreira Euroscitizen and EVOKE Challenges • Online environment • Group diversity Opportunities • Reduced costs • Greater scope (and higher diversity) • Higher flexibility • Networking Important to include • Hands-on activities • Group work • Brainstorming activities • Debate • Sharing ideas and good practices • Evaluation Rita Ponce, Filipa Vala, Gil Costa, Peter Hyldgård, Sara Sá, Renata Pinto, Miguel Ferreira, Susana Ambrósio, Raquel Branquinho, Antonio García and Szymek Drobniak WANT TO ORGANIZE AN ONLINE TRAINING? Check out our check-list
We have synthesized and tested about 50 designs using our new Autobreak and Simulation tools. All data collection is complete, and we are drafting the manuscript. The only pending item before we publish is to complete our web-based software tool (Cadnano Toolkit) to make the tools available to the community. This should take about 6 weeks. Screenshots of the frontend Cadnano Toolkit (CTK ) interface, built with VueJS. The backend API is built with Python, Flask, and nginx. E A B C D F G
2) ML model training Input features Geographical location Time information Meteorological data Target variable GNSS ZWDs Prediction of atmospheric parameters at the Geodetic Prediction Center of ETH Zurich Benedikt Soja, Laura Crocetti, Marcel Iten, Shuyin Mao, Matthias Schartner Institute of Geodesy and Photogrammetry, ETH Zurich Ionospheric modeling[2] • The ionosphere is the ionized part of the Earth’s upper atmosphere, which is a significant error source in space geodetic techniques Tropospheric modeling[1] Ionospheric spatial modeling Ionospheric temporal modeling • ML-based GIMs offer improved spatio-temporal resolution and accuracy compared to traditional spherical harmonics-based models, enhancing the positioning accuracy in single-frequency GNSS applications. 2) ML model training 1) GNSS ionospheric VTEC monitoring 3) ML-based GIMs with uncertainty Space weather indices ML-based GIMs of previous days Forecasted ML-based GIMs Flowchart of ML-based global ionospheric spatial modeling 1) Ionospheric vertical total electron content (VTEC) estimation using GNSS 2) ML model training 3) GIMs generation using ML models Flowchart of ML-based global ionospheric temporal modeling • The troposphere, Earth’s lowest atmospheric layer, can be monitored using Global Navigation Satellite Systems (GNSS) • Zenith wet delay (ZWD) is highly correlated to the amount of water vapor in the atmosphere • GNSS measures zenith total delay, which is split into a zenith hydrostatic delay and a zenith wet delay • ML-based global ZWD model is interesting for meteorological studies • Accurate ZWD predictions are required to improve real-time navigation applications Geodetic Prediction Center (GPC) Tropospheric spatio-temporal modelling 1) GNSS ZWD monitoring + meteorological data 3) ML-based global ZWD predictions ZWDs [mm] for 1st of January 2024, 00:00 UTC • Forecasted GIMs based on ML approach can be used for real-time GNSS applications [1] Crocetti, L., Schartner, M., Zus, F., et al. (2024). Global, spatially explicit modelling of zenith wet delay with XGBoost. J Geod, 98(23). https://doi.org/10.1007/s00190-024-01829-2 [2] Mao, S., Kłopotek, G., Pan, Y., & Soja, B. (2024). Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach. IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, (5774-5777). https://doi.org/10.1109/IGARSS53475.2024.10641532 • Global Ionospheric Maps (GIMs) are widely used products to correct ionospheric delays in radio signals • GPC at ETH Zurich provides predictions of geodetic parameters for applications in geodynamics, climate monitoring, and navigation • GPC relies on machine learning techniques to create accurate spatio-temporal models integrating geodetic and environmental data • GPC provides models of the troposphere and ionosphere focus of this poster • Products on GPC are freely available https://gpc.ethz.ch
SEARCH FOR THE STERILE NEUTRINO WITH STEREO : ENERGY RECONSTRUCTION Adrien Blanchet (adrien.blanchet@cea.fr) on behalf of the STEREO collaboration CEA-Saclay, IRFU, 91191 Gif-sur-Yvette, FRANCE THE STEREO EXPERIMENT Stereo aims at measuring neutrino spectra at several distance from the reactor core. A clear pattern of oscillation would head toward the hypothesis of a new sterile neutrino ﬂavor, solving the Reactor An- tineutrino Anomaly (RAA). Two key aspects required for the experi- ments are : • Accurate knowledge of detector’s response • Efﬁcient topology cuts for background rejection MOTIVATIONS Phase-I of data taking have presented two challenges regarding energy reconstruction : • Deals with different light collection efﬁ- ciency for each cell • Mitigate signiﬁcant variations of the detec- tor’s response due light leaks evolution Date [MM/DD/YY] 10/31/16 12/31/16 03/02/17 [%] ij L 0 5 10 15 20 Cell2->Cell3 Cell6->GCBack Cell3->GCD19 Cell5->Cell6 Calibration coefﬁcients Ci and light leaks Lij have been measured three times a week to keep track of the detector response. METHOD We used a matrix formalism to recon- struct events energy : Qj = X i=cells EiCiLij = X i=cells EiMij. DATA/MC COMPARISON AND SYSTEMATICS ESTIMATION Data/MC : Sub-percent agreement for Mn peak anchoring after ﬁne tuning Accurate reproduction of detectors response in MC • Independent set of events needed to test energy reconstruction • Using neutron capture gamma peaks (n-H or n-Gd) • Simulating neutron from realistic distribu- tion of vertices • Fitting capture peak with crystalball Sub-percent time stability Date [MM/DD/YY] 11/25/16 12/25/16 01/24/17 02/23/17 Relative Deviation [%] 3 − 2 − 1 − 0 1 2 3 n-Gd peak n-H peak FIND MORE Get more information at https://arxiv.org/abs/ 1804.09052 FINE TUNING 1. Using 835 keV gammas from 54Mn source, deployed at 5 different heights in 3 cells for phase 1 and 5 for phase 2 2. Start from ﬁrst order Ci and Lij 3. Raw selection of full E deposition (Eneighb. < 100 keV) 4. Using reference Eref built from the true deposited energy of the MC and con- volved by the detector resolution 5. Measure reconstructed energy shifts and correct Ci and Lij iteratively : δCi = Ci(Erec i −Eref)/Erec i , and δLij = −Cj(Erec i −Eref)/(EiCi(1 −LijLji)). RESULTS Percent level agreement between MC and Data using calibration-independent neutron capture gamma peaks Energy scale controlled at 1% level Source Cell-to-cell Cell-to-cell correlated uncorrelated Eref - 0.2% 54Mn anchor - 0.3% Stability 0.4% - Data-MC - 1.% Total 0.4% 1.1%
Model of Cluster Members ψcl Model of Field stars ψfs ψ(m, c) = (1 −ffs) ψcl(m, c |Θcl) + ffs ψfs(m, c) A comprehensive method to model the CMD of open cluster as a mixture of cluster members and field stars. Mixture model of open clusters in CMD Lu Li, Zhengyi Shao Shanghai Astronomical Observatory, Chinese Academy of Sciences (Li & Shao, in prep.) A catalog of properties of open clusters. Including age, [Fe/H], distance, extinction AV, mass function and binary fraction . αMF fb Mass Function: