fairdataihub/poster-sentry-training-data huggingface dataset:
Open-Access-Büro Berlin Der Berliner Senat hat im Rahmen der Open- Access-Strategie ein Koordinationsbüro eingerichtet. Das Open-Access-Büro Berlin ist am Center für Digitale Systeme der Freien Universität Berlin an- gesiedelt und hat am 1. September 2016 die Ar- beit aufgenommen. Das Open-Access-Büro Berlin hat die Aufgaben, die Berliner Wissenschafts- und Kultureinrich- tungen über die Kernziele der Berliner Open- Access-Strategie aufzuklären, sie bei deren Um- setzung zu unterstützen und die verschiedenen Akteure zu vernetzen. Kontakt Dr. Andreas Hübner E-Mail: andreas.huebner@open-access-berlin.de Dr. Katja Mruck E-Mail: katja.mruck@open-access-berlin.de Tel.: + 49 (0)30 838-50244 Adresse für Besucher/innen: Freie Universität Berlin Ehrenbergstraße 26-28 14195 Berlin Postanschrift: c/o Freie Universität Berlin Center für Digitale Systeme (CeDiS) Ihnestr. 24 14195 Berlin www.open-access-berlin.de kontakt@open-access-berlin.de Andreas Hübner und Katja Mruck, Open-Access-Büro Berlin Das Land Berlin hat Ende 2015 eine Open-Access- Strategie verabschiedet, um den offenen Zugang und eine umfassende Nutzbarkeit im Sinne von Open Access in den Bereichen wissenschaftliche Publikationen, Forschungsdaten und Kulturelles Erbe zu fördern. Zielsetzungen Wissenschaftliche Publikationen Mit dem Jahr 2020 soll der Anteil an wissenschaft- lichen Open-Access-Publikationen (Grün und Gold) für Zeitschriften-Artikel aus allen wissenschaftli- chen Einrichtungen in der Zuständigkeit des Lan- des Berlin möglichst bei 60% liegen. Monografien und Sammelbände sollten ebenfalls Open Access verfügbar sein. Forschungsdaten Das Land Berlin setzt sich für den offenen Zu- gang zu und die Ermöglichung einer umfassenden Nachnutzung von Forschungsdaten ein und beab- sichtigt, konkrete Beiträge im Rahmen einer nati- onal und international abgestimmten Strategie zu leisten. Kulturelles Erbe Die bereits begonnene Digitalisierung des kultu- rellen Erbes des Landes Berlin wird fortgesetzt und erweitert. Das Land Berlin setzt sich für den offenen Zugang zu und die umfassende Nutzbar- keit von Kulturdaten ein. Der Aufbau von Kreativ- partnerschaften zwischen Akteuren aus Kultur, Kunst, Wissenschaft, Bildung, Forschung und Wirt- schaft wird unterstützt. Open-Access-Strategie für Berlin Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz. Siehe http://creativecommons.org/licenses/by/4.0/ Text: Andreas Hübner und Katja Mruck, verwendetes Bildwerk: Matten Vogel
Application PHOTO–SENS Project  EU-funded project of the program Horizon 2020  New generic tool with integrated optical sensing circuits for ultra-sensitive detection  Wafer scale fabrication for cost-effective disposable bio-sensor  Microfluidics cartridge enabling sample treatment & transfer of various water–based samples  Functional and easy-to-use read-out device for use with disposable bio-sensing cartridge  Identification of aquaculture-specific pathogens and respective biomarkers & serving as testing hub for fish farms Disposable cartridge:  Microfluidic system  Integrated buffers  Integrated sensor chip Device Design:  Cartridge handling  Sample application  Cartridge processing  Final Product (Future):  Industrial design  User guidance  Full automation  Six sensor channels  Two channels for process control Sensor chip:  Miniature optical system  Interference based on laser with modulated wavelength Assay development:  Pathogen detection  Early sturgeon sex detection  Based on double stranded DNA Device Concepts:  Liquid control  Temperature control  Sensor read-out Chip Development Device Development Optimization Surface coating:  Anti-fouling  Biofunctionalization for DNA detection This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 965643. See www.photo-sens.eu for more information.
Visualising the Student Journey Designed as an aid to examiners at Higher Education institutions, the Student Journey tool shows individual student’s progress throughout their programme. Three co-ordinated views [1] allows an overview, with detail of individual modules on demand. The tool also builds-in institutional regulations to make recommendations for the student’s outcome. Repeat Year / Semester 3 2:2 2:1 1 Start Semester 1 Semester 2 Semester 3 Semester 4 Semester 5 Semester 6 Final 3 2:2 2:1 1 SC2 3rd Year (Award)  Year Group (2017/18) Computer Science  Programme Student A  Student 0 10 20 30 40 50 60 70 80 90 100 110 120 >= 40% < 30% Supp. Work Pass Number of Credits Step 1: Select a Student to see the overview. The Regulations view shows, in one bar plot, the possibility of a student progressing or receiving their award. Under most regulations if the red column is present, the student is unable to progress. Otherwise the must meet or exceed the Pass or Supplementary Work levels. Step 2: Click on the timeline to focus on an academic year. Figure 1: Timeline View Figure 3: Regulations View Cameron Gray Dave Perkins m Special Circumstances are highlighted by severity and shown in the appropriate semester. IED-3064 0% ICP-3036 7% ICP-3099 8% Figure 2: Module Detail View Semester 5 Semester 6 UXS-3071 65% @ Student achievement is shown as a coloured gauge. Red represents a failing result. . The Module Header block is proportional to the credit weighting. @ For each student, the tool produces a recommended action based on applicable regulations. 2 Orange coloured gauge lines represent a condonable result under institutional regulations. @ Green coloured gauges represent a passing result. The Module Detail view is a modiﬁed Sankey Diagram [2] to show both structure and achievement for the student. The inclusion of coloured gauges provides Pre-Cognitive Processing [3] by viewers. [1] Roberts, J.C. “State of the art: Coordinated & multiple views in exploratory visualization”. In: Coordinated and Multiple Views in Exploratory Visualization, 2007. CMV’07. Fifth International Conference on, pp. 61–71. IEEE. [2] P. Riehmann, M. Hanﬂer and B. Froehlich, "Interactive Sankey diagrams", IEEE Symposium on Information Visualization, 2005. IEEE. This tool was trialled during the 2017/’18 Final Award Board of Examiners’ meeting within Bangor’s School of Computer Science. It met with general approval and scored 79.65/100 using the Software Usability Scale. ICP-3042 80% [3] Ware, C., 2012. Information visualization: perception for design. Elsevier. School of Computer Science & Electronic Engineering UXS-3041 33%
VINEYARD INNOVATIVE TOOLS BASED ON THE INTEGRATION OF EARTH OBSERVATION SERVICES AND IN-FIELD SENSORS A single-entry point solution for wine producers aiming to boost vineyards’ sustainability The project is developing innovative vineyard management solutions, integrating and improving existing solutions coupling satellite imagery with in-field sensors to increase the resolution and reliability of satellite information applied to the viticulture sector and specific wine-business operations. VitiGEOSS uses European Open Earth Observation Services (EOS) for the improvement of agriculture business operations at an economic, environmental and local level. VitiGEOSS goal is to contribute to a responsible production of wine, minimising the use of chemicals and offering tools for a better management and a greater sustainability www.vitigeoss.eu @vitigeoss_EU info@vitigeoss.eu CONTACT US: Rosa Araujo Eurecat, Spain Project Coordinator Phenological monitoring Automated system to better plan and organise the whole vineyard management. Weather & climate forecast Robust weather & climate forecast for decision making processes in the wine sector. Business & sustainability Resource optimiser and planner service capable to plan best timing for field operations. Disease management Forecasting the disease evolution to optimise the treatments and resources used. Crop status Satellite imagery for optimising irrigation, sampling or selective harvesting. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 862192 Consortium
The Echelle Visualization Tool (Working Title) Bryson Stemock (bstemock@nmsu.edu), New Mexico State University Purpose Status This project is inspired by the Keck Observatory HIRES Echelle Format Simulator. Community Survey to get YOUR input The Echelle Visualization Tool (EVT) will allow ARCES users to visualize their raw data before and during observing runs. The EVT will accurately display the position of each echelle order and each spectral line of interest as it will appear on the CCD. This will provide an intuitive visual aid as observers check their incoming data as the night wears on; an important asset when our brains our tired at odd hours of the night and morning. Source: Sarah Kovac and Candace Gray ●Code foundation written using gratings; will be adapted to mimic ARCES as development progresses ●Displays blaze wavelength and free spectral range for each echelle order ●Can identify unique wavelength ranges vs. wavelengths that are contained in multiple orders ●Takes an input spectral line list and displays the locations of each given line everywhere it is present in the echelle exposure ●Code written to allow for relatively simple adaptation if/when ARCES is replaced someday The purpose of this poster is to gather input from the APO community to inform the direction of the EVT’s development. Does this seem like a tool that you would use? What features would make the EVT a tool that you would use regularly? If you have any thoughts on how to make the EVT more useful to ARCES users, please take 3-5 minutes to ﬁll out a survey using this link: https://forms.gle/K3iGauGrBq6amY8X9. Keck Observatory HIRES Echelle Format Simulator (link below)
Explore, observe, design Put three or four elastic bands around a tub, box or jar. Now explore ways to make different sounds. You could compare wide bands and thin bands – which produces a higher pitched note? What happens to the note when you stretch a band? Organise your selection of elastic bands into order – from high pitched to low to create a musical instrument. Hint – a tub often works better than a box because a box crumples. Draw a diagram and write instructions so that someone else can make an instrument that produces the same notes. Dogs can hear sounds that humans can’t. A dog whistle produces a whistling sound that is too high pitched for human ears. Elephants communicate with each other using ‘rumbles’. These are sounds that are too low pitched for our ears to pick up! Can you make Can you make music with elastic music with elastic bands? bands?
Which types of terms become more prevalent, persistant, and adapt th e most? Which terms maintain semantic stability and which have multipl e variations? How can topic modelling and word embedding help to identify terms, an d t o analys e narrativ e structure s a nd semantic changes in specialised texts? Besides Latin calques, transliterations, and borrowings, what are othe r method s o f creatin g neologisms ? A re there limits to neology? Research questions Methodology The starting point of the research is the question about the peculiarities of the vocabulary in medieval French in mathematical texts during the Middle Ages. The goal of the study is to identify the mathematical terminology, focusing on the analysis of neologisms, diachronic, diatopic, diaphasic variations, semantic links, lost notions, and hapax legomena. The research relies on a corpus composed of texts from three out of four disciplines of the quadrivium: arithmetics, geometry and astronomy. The texts used are in edited and manuscript forms. MATHEMATICS VOCABULARY IN MIDDLE FRENCH (13th-16th centuries) Summary Results and conclusion IMAGES : NICOLAS DU PUY, PETIT COMPOST EN FRANCOYSS Corpus compilation. It involves the collection of edited and transcripted manuscripts. NLP analysis. We use topic modelling to analyse the narrative structure an d wor d embeddin g t o detec t semant ic peculiarities. Linguistic analysis. By means of the study of identified occurrences in ou r corpus . Dua l approach : linguisti c c o-tex t o f occurrence s an d narrati ve context of their appearance. This research focuses on under-studied elements in medieval linguistics - neology and terminological variations. In addition to the traditional textometric approach, we experiment with the use of computational techniques. Consequently, the novelty of the work lies in the examination of the discipline’s under-studied phenomena through non- traditional methods.
Michel Electron Reconstruction Using a Novel Deep-Learning-Based Multi-Level Event Reconstruction in ICARUS Yeon-jae Jwa on behalf of ICARUS Collaboration 1. Muon Decay-at-rest and Michel Electrons 2. Michel electrons in ICARUS Liquid Argon Time Projection Chamber 3. Deep-Learning based event reconstruction 4. Michel electron selection in ICARUS ●Michel electrons, produced by the decay-at-rest of cosmic-ray muons, have a well understood energy spectrum ranging up to ~50 MeV. ●Michel reconstruction demonstrates the detector’s capability in low-energy electron reconstruction. ●ICARUS is 600T Liquid Argon Time Projection Chamber (LArTPC) situated on the Fermilab beamline, receives abundant cosmic-ray muons. ●The energy loss of Michel electrons in argon has two contributing parts; electron ionization and photon radiation. Ionization Radiation Candidate Michel is ●Within 3 cm distance to a track ●Attached at the end of the track ●At least 20 reconstructed voxels Candidate Michels are matched to true Michels. Primary ionization is deﬁned after the selection by ﬁnding the closest cluster to the parent muon (using DBScan.) 5. Michel energy reconstruction MC sample: BNB+Corsika simulation, Data sample: on-beam Run2 6. References [1] Laura Dominé. (2023), “Deep Learning based LArTPC Event Reconstruction and Nonmagnetic Muon Sign Determination in the ICARUS Detector”, [Doctoral dissertation, Stanford University.], https://searchworks.stanford.edu/view/14656199 [2] Laura Dominé, Kazu Terao, “Scalable deep convolutional neural networks for sparse, locally dense liquid argon time projection chamber data”, Phys. Rev. D (2020), 102, 1, 012005 [3] SPINE github repository, https://github.com/DeepLearnPhysics/spine Figure 3. U-net network structure for voxel reconstruction. Source: [2]. Figure 1. Theoretically calculated Michel energy. Soure: [1]. Figure 2. Electron stopping power in Argon from tabulated ESTAR database. ●SPINE: framework developed for LArTPC 3D reconstruction. ●Voxels are classiﬁed as: shower-like/track-like/Michel-like/Delta-like/low energy-like using semantic segmentation. ●Reconstructed voxels are further grouped to fragments/particles/interactions. Figure 4. Full reconstruction chain in SPINE. Source: [3] ●Summed ADC is translated to energy [MeV] after applying calibrations. (See poster #156 for more details on calibrations). ●Fractional energy resolution ○Ecorr= (Erec-β)/α, where α: slope, β: y-intercept from linear ﬁt of (x,y: Etrue, Ereco). ○Eres = (Ecorr-Einit)/Einit, Eres is binned by Einit and ﬁtted to Gaussian. True Michels Candidate Michels Attached to muon 37042 34582 Matched 32460 32460 Selection efﬁciency/purity: 87.63 %/93.86 % See poster #280 for more details on SPINE. See poster #108, #156 #280, for more analyses using SPINE. ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress ICARUS Work In Progress 7. Acknowledgement This work was supported by the Department of Energy, Contract DE-AC02-765F00515.
What are the perspectives of professionals working as part of a multidisciplinary autism team on strengths-based autism diagnostic assessment? What a strengths-based autism diagnostic assessment could look like Potential pros and cons of this type of assessment it has sort of stuck with me that we have picked apart what they [clients] couldn't do, and that there needs to be a way that actually doesn't rip someone's self-esteem to shreds the main problem of doing just like a strength- based assessment, is that a lot of things like getting an EHCP [education, health and care plan], and getting those kind of do rely on you what the child's are reports highlighting difficulties would be absolutely removed from the vocabulary of my team 'disorder' Interviewing professionals who work with children and young people to find out what they think about strengths-based autism diagnostic assessment Emma Pritchard & Jenny L. Gibson RESEARCH QUESTION METHODS INTRODUCTION Autistic people have reported dissatisfaction with autism diagnostic assessment, with the focus on deficits being a key issue. Rather than focusing on deficits, the neurodiversity paradigm advocates for a holistic view of difficulties, differences, and strengths. We want to find out how professionals can apply a neurodiversity-informed perspective to diagnostic assessment. A way of thinking called a 'strengths-based approach' could help with this. INSIGHTS Here, I share some early analytic insights based on familiarisation with the data- this is a work in progress Overall, professionals viewed a strengths- and needs-based assessment as important. Some talked about changing the language used in assessment and reports. Professionals think assessing strengths can be beneficial both during and after assessment e.g. self-esteem, support. Resource limitations and concerns around access to support are key issues. @EmmaPritchard95 ejp81@cam.ac.uk NEXT STEPS Finish analysis. The findings could highlight new ways for professionals to carry out assessments that better align with autistic people's needs. Interview topics: Qualitative method of analysis called reflexive thematic analysis - to help identify patterns relating to the professionals' views. the study on the Open Science Framework (Scan the QR code). Semi-structured interviews with involved in autism diagnostic assessment for children and young people. with autistic adults and parents/caregivers of autistic people to refine the interview questions. Pre-registered Consultation 19 professionals
DETECÇÃO DE MUDANÇAS DA PAISAGEM COM DADOS LiDAR-ALS NO MUNICÍPIO DE PARAGOMINAS – PA ENTRE OS ANOS DE 2013 E 2017 Derica dos Santos Sousa, UDESC, Lages/SC, Brasil, derica@tuta.io; Felizardo Neto, UDESC, Lages/SC, Brasil, felizardo.neto@edu.udesc.br; Lucas Inácio, UDESC, Lages/SC, Brasil, lucasinacio1301@gmail.com; Veraldo Liesenberg, UDESC, Lages/SC, Brasil, veraldo.liesenberg@udesc.br. Introdução e Objetivos A expansão rápida de atividades agrícolas, exploração madeireira e outras ações antropogênicas têm impactado a cobertura florestal, resultando em perda de biodiversidade (FERREIRA; VENTICINQUE; ALMEIDA, 2005). O monitoramento dessas mudanças é importante para orientar esforços de conservação. O LiDAR-ALS é uma ferramenta eficaz nesse contexto, fornecendo informações tridimensionais detalhadas sobre a vegetação. Este estudo avalia a dinâmica da vegetação em Paragominas, Pará, entre 2013 e 2017, usando dados ALS para analisar a estrutura do dossel florestal. Metodologia Resultados e Discussões A comparação dos CHMs ao longo dos anos permitiu identificar áreas de supressão, regeneração e estabilidade, analisadas em diferentes resoluções espaciais (1m a 20m). Resoluções mais finas capturam detalhes localizados da estrutura florestal, enquanto resoluções mais amplas destacam padrões gerais de mudança. Essa abordagem multiescalar equilibra detalhe e abrangência espacial em grandes áreas florestais. Figuras e Tabelas Referências Bibliográficas FERREIRA, L. V.; VENTICINQUE, E.; ALMEIDA, S. O desmatamento na Amazônia e a importância das áreas protegidas. Estudos Avançados, v. 19, p. 157–166, abr. 2005. Conclusão A análise das mudanças da paisagem com dados LiDAR-ALS entre 2013 e 2017 no município de Paragominas evidenciou a importância do uso de técnicas de sensoriamento remoto para monitoramento ambiental. Os resultados permitiram identificar áreas de supressão, regeneração e estabilidade da vegetação em múltiplas resoluções espaciais, destacando a eficácia das resoluções mais finas para captar detalhes da estrutura florestal e das resoluções mais amplas para observar padrões gerais. Essa abordagem multiescalar possibilita uma compreensão abrangente da dinâmica florestal, sendo fundamental para apoiar estratégias de conservação, manejo sustentável e políticas públicas de preservação do bioma amazônico. Figura 1. Diferença no CHM P08 em 8 classes de altura de vegetação (a). Reclassificação em 3 classes de mudança, (-1) supressão, (0) estabilidade e (1) regeneração. a) b) Figura 2. Classes de mudanças por resolução – P11.
Community Registries (z.B. NFDI4Culture), allg. Suche Instit. Richtlinien, FAIR4RS, NFDI4Culture Guidelines u.a. Projekt- management, Software- managementplan NFDI4Culture Helpdesk, Foren, allg. Beratungs- angebote etc. GitLab, GitHub, Zenodo, Community Registries 01 Recherchieren - Gibt es schon eine (fast) passende Lösung? 02 Informieren - Best Practices und Leitlinien beachten 5 SCHRITTE ZU NACHHALTIGER(ER) SOFTWARE 03 Planen - Entwicklung vorbereiten und organisieren 04 Helfen lassen - Angebote für Unterstützung/Beratung nutzen 05 Teilen - Publizieren und Leistung anerkennen lassen CO-SPOKESPERSONS DES ARBEITSBEREICHS FORSCHUNGSWERKZEUGE UND DATENDIENSTE Dr. Lisa Dieckmann Dipl. Wirt.-Inf. Daniel Röwenstrunk MITARBEITENDE DES ARBEITSBEREICHS Dr. Martin Albrecht-Hohmaier Anne Ferger Franziska Fritzsche Sven Peter Astrid Probst Sabrina Ujkasevic Anastasia Wawilow KONTAKT https://nfdi4culture.de contact@nfdi4culture.de https://twitter.com/nfdi4culture Daniel Jettka Aleksander Marcic (inhaltl. verantw.)