fairdataihub/poster-sentry-training-data huggingface dataset:
© 2020 Novartis Cheat sheet for model uncertainty assessment Version 1.2 Novartis Contributors: Andrew M Stein, Jeffrey D Kearns, Jaeyeon Kim, Alison Margolskee Purpose of this document The Pedigree Table on the back of this document helps a modeler or reviewer assess the uncertainty of a model’s predictions in a structured way [1, 2]. This tool should be applied during scoping, to ensure effort is placed on the most critical aspects of the model, and then applied again at the end of the activity, to ensure the model is fit for the purpose of informing the decision. In practice, the act of thinking carefully about model uncertainty and its consequences is more important than the exact choice of scores. Because model uncertainty is difficult to rigorously quantify, this assessment is qualitative, and reviewers may differ in their assessment. This difference in opinion can be useful information and it is recommended that the results from different reviewers be shown simultaneously to highlight areas of disagreement [2]. Figure 1 shows one way to visualize the results of the uncertainty assessment. This figure is illustrative and does not refer to specific models in the literature. Important Considerations Fit for Purpose: What is the purpose of this model? What are the key behaviors that it must capture? While complex models may be initially employed for hypothesis exploration, use the simplest model that addresses the specific question; reevaluate the model if the question changes. Consequences of incorrect prediction: If the model prediction is wrong, what are the consequences? What level of uncertainty can be tolerated? The pedigree table scores should reflect this. Range of predictions: How does the model uncertainty affect the decision or recommendation? Have you clearly defined a range of model predictions (i.e. ‘best’, ‘median’, ‘worst’ cases)? This representation is often more accessible to non-modelers than formal uncertainty metrics. References 1. Saltelli, A. "A short comment on statistical versus mathematical modelling." Nature communications 10.1 (2019), 1 2. Van Der Sluijs, JP., et al. "Combining quantitative and qualitative measures of uncertainty in model-based environmental assessment: the NUSAP system." Risk Analysis: An International Journal 25.2 (2005): 481. 2 3 1 1 2 1 0 2 2 3 2 1 2 2 2 2 3 4 4 4 2 3 4 3 3 4 4 4 4 4 4 4 3 3 4 4 M1 M2 M3 M4 Technical Implementation Parameter Sensitivity Variability Ability to Extrapolate Ability to Interpolate Assumptions Structural Model Biological Understanding Experimental Data Uncertainty Criteria Figure 1 Example pedigree table for four hypothetical models that were used to: explore hypotheses about a particular disease pathway (M1), predict the first in human dose (M2), select a phase 3 dose (M3), and support a change in label (M4).
ExploreSalon: Unveil Hidden Stories from the Past Concept and Outcome of a Digital Humanities and Cultural Heritage "Hackathon" Charvat, Vera Maria; Ďurčo, Matej; Königshofer, Elisabeth; Petrovic-Majer, Sylvia; Woldrich, Anna "When people interact, they leave traces: uncountable letters, diaries, chronicles, plaques, and other written records have preserved memories about people – long before the rise of smartphones and social media."1 For the duration of one week (22nd – 26th May 2023) the so-called ExploreSalon will offer a collaborative space to explore digitized memories, in the form of curated biographic, spatial and temporal datasets with focus on Vienna 1900. The event will be organized by the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH) and supported by the CLARIAH-AT2 national consortium as part of its knowledge sharing activities. The ExploreSalon has two goals: Bring people of diverse backgrounds together and provide them with the opportunity to discover innovative ways of data-based storytelling – exploring stories hidden in the data, presenting ideas and sharing findings. The concept of the ExploreSalon is based on cultural hackathons, such as "OpenGLAM.at"3, "Coding Da Vinci"4 and "Coding Duerer"5. It departs from the traditional "hacking marathon" that is aimed primarily at people with a technical background. Instead, a cultural hackathon seeks to bring together all kinds of creative minds with different skills and levels of expertise from the (Digital) Humanities and Cultural Heritage sectors as well as GLAM (Galleries, Libraries, Archives and Museums) institutions. Inviting creativity as a form of generative change and providing space for the emergence of new ideas, shared purposes and a vivid community, this new kind of event is focusing on establishing a community of practice and enables all stakeholders to communicate at eye level. Dialogue and values like transparency, open knowledge and participatory leadership are propagated rather than a set of specific methods. Following a purpose-driven approach, ExploreSalon aims to empower the community of practitioners to govern their own work process by stepping away from rigid frames and time 5 https://codingdurer.de/ (last accessed: 2023-02-08) 4 https://codingdavinci.de/ (last accessed: 2023-02-08) 3 https://www.openglam.at/ (last accessed: 2023-02-08) 2 https://clariah.at/ (last accessed: 2023-02-08) 1 https://clariah.at/exploresalon2023 (last accessed: 2023-02-08)
Open, Metadata-Enriched, Non-Proprietary Data Format for Data Dissemination Claudia Saalbach, Xiaoyao Han • Proprietary data formats jeopardize the principle of FAIR • To reach a wider user group, data producers provide the same data in various formats, resulting tin higher costs. • Different data formats, which are only partially compatible, represent an obstacle for the replication studies • Metadata in pdf or in a web-based information system are inconvenience to use Why do we need open data format? Add your information, graphs and images to this section. Speciﬁcation As part of the NFDI, KonsortSWD is expanding its services for research with data in the social, educational, behavioral and economic sciences. The mission is to develop – strengthen, widen, deepen – a research data infrastructure for the study of human society. KonsortSWD’s RDM strategy aims to - provide researchers and research data centres (RDCs) with the tools and services they need for managing and sharing (new) sensitive and non-sensitive data in accordance with the FAIR principles. - support sustainable RDM in all phases of the research data lifecycle. NFDI- KonsortSWD The open, metadata-enriched, non-proprietary data dissemination format(OpenDF) is a project of KonsortSWD, the NFDI consortium for the social, behavioural, educational and economic sciences. The project provides a non-proprietary Open Data Format enriched with multi-level metadata that is smoothly usable with popular statistical software. The goal of the project Open Data Format: Speciﬁcation data.zip metadat a.xml data.csv metadata.xml data.csv bap87,bap9201,bap9001,bap9002,bap9003,bap96 ,name 4,-2,1,-1,2,-2,Jakob 3,5,-2,1,4,1.57,Luca ,-1,-1,2,-1,1.92,Emilia 1,9,-2,2,4,1.85,Charlotte -1,4,2,3,1,1.91,Johanna 3,4,-1,4,-2,1.8,Paul 1,9,2,-1,-1,1.8, 5,6,1,-1,1,1.96,Mia 5,5,5,3,1,1.64,Ben -2,4,4,-1,-2,1.93,Jakob <dataDscr> <var name="bap87"> <labl xml:lang="en">Current Health</labl> <labl xml:lang="de">Gesundheitszustand gegenwärtig</labl> <txt xml:lang="en">Question: How would you describe your current health?</txt> <txt xml:lang="de">Frage: Wie würden Sie Ihren gegenwärtigen Gesundheitszustand beschreiben?</txt> <notes> <ExtLink URI="https://paneldata.org/soep-core/data/bap/bap87"/> </notes> … data.zip Stata R SPSS Use case: R package DIW Berlin: www.diw.de SOEP: https://www.diw.de/en/diw_01.c.615551.en/research_infrastructure__socio-economic_panel__soep.html Project: KonsortSWD - Consortium for the Social, Behavioural, Educational and Economic Sciences in the National Research Data Infrastructure (NFDI)
Modelling Solar Ca II H&K Emission Variations K. Sowmya, A. I. Shapiro, V. Witzke, N.-E. Nèmec, T. Chatzistergos, K. L. Yeo, N. A. Krivova, S. K. Solanki Max Planck Institute for Solar System Research, Göttingen, Germany EU Grant No. 797715 (IMagE) • Depending on the inclination and period of observations, the activity cycle in solar S- index can appear weaker or stronger (as shown by the red symbols in Figure 3) than in stars with a solar-like level of magnetic activity. • Solar chromospheric emission variation is absolutely normal in comparison to other stars with near-solar magnetic activity. Figure 1: Validation of our model calculations (orange) against the ground-based solar observations (corresponding to i~90°; black). Panel a - daily values; panel b - 81-day smoothed values. Figure 2: Inclination dependence of the S-index. 81-day averaged S-index values for solar cycles 21-23 for inclinations ranging from 90° (equator-on view; black curve) to 0° (pole-on view; purple curve). Figure 3: Chromospheric emission variations (y- axis) vs. the mean chromospheric activity (x-axis) for the Sun (black star and red symbols) and other Sun-like stars (black circles). Red symbols show our calculations. Grey shaded regions indicate the spread due to inclination and strength of the activity cycle. • We used the distributions of solar magnetic features derived from the surface ﬂux transport simulations together with the non-LTE spectra of Ca II H&K lines. • We showed that the S-index values obtained by an out-of- ecliptic observer are different from those obtained by an ecliptic-bound observer (Figure 2). • This indicates that it is important to consider the inclination effect on S-index while comparing the magnetic activity of the Sun to other stars. • The S-index quantiﬁes the emission in the near UV Ca II H&K lines and is a prime proxy of solar and stellar magnetic activity. • To study the dependence of S-index on the inclination angle (i) between the stellar rotation axis and the direction to the observer, we developed a physics-based model and validated it against the available solar S-index measurements (Figure 1). krishnamurthy@mps.mpg.de Sowmya et al. (2021), ApJ, Under review
Consensus detection and identification protocol for Acidovorax citrulli on cucurbit seeds Funding Non-competitive funding mechanism. Each funder only pays for the participation of their own national researchers. Total funding € 78 000 Picture 1 Picture 1 Picture 1 Goals Acidovorax citrulli (synonyms: Acidovorax avenae subsp. citrulli, Pseudomonas pseudoalcaligenes subsp. citrulli) is the causal agent of bacterial fruit blotch (BFB) of cucurbit plants, primarily watermelon and melon where significant economic losses have been reported. Once the pathogen is introduced in an area, high humidity, high temperature and overhead irrigation increase the risk of BFB epidemic development. Despite the economic importance of the disease, little is known about the basic aspects of A. citrulli epidemiology and the factors involved in its pathogenicity and virulence. Since there are no resistant commercial cultivars, successful management of BFB depends on exclusion of primary inoculum by using pathogen-free seeds and seedlings. Seed health testing reduces the risk of outbreaks. For this purpose the project has the goal to develop a consensus protocol for the detection of A. citrulli on cucurbit seeds together with the monitoring of the pest in the main cucurbit production areas. Moreover, there is an ever-growing need for multiplex, high- throughput detection methods that can be applied directly to plant parts to certify their health status. Improvement or development of new methods to distinguish accurately between bacterial strains (two groups determined currently for Acidovorax citrulli) would be beneficial in determining their emergence and evolution as pathogens. Research consortium UNIMORE (IT), ANSES (FR), BPI (GR), NFCSO (HU), CREA (IT), NVWA (NL), FGBU- VNIIKR (RU) Contact information Project coordinator: Emilio Stefani stefani.emilio@unimore.it Key outputs and results • Validated identification methods (test performance studies for detection and identification tests) • A consensus protocol for the detection of Acidovorax citrulli on cucurbit seeds 07/2016-06/2018
Figure1: SnE-VNet: A visual representation of the presented model. Figure2: Visual representation of a SnE block. Identifies important channels in the feature map. Improves performance without increasing computational cost. Enhances feature representation in 3D data. The SnE- Blocks Encoder: Downsamples the image to extract high-level features. Decoder: Upsamples the features to reconstruct the original image. Connection: Connect encoder and decoder layers to capture spatial information. Building Blocks METHODOLOGY 3D CNN-based encoder-decoder structure with squeeze and excitation (SnE)-based residual connections. AFFILIATION SnE-VNet: A Deep Learning Model with Squeeze and Excitation for Improved 3D Stroke Lesion Segmentation AUTHORS Mishaim Malik, Benjamin Chong, Justin Fernandez, Vickie Shim, Alan Wang INTRODUCTION Stroke is a leading cause of disability, affecting over 12 million people worldwide each year. Accurate lesion segmentation could help automate stroke management, treatment planning, and rehabilitation outcome prediction. MOTIVATION Deep learning offers a promising alternative to manual segmentation, which is time-consuming and requires expertise. SnE-VNet automates segmentation, improving efficiency and consistency. RESULTS Improved Ground Truth and Prediction overlap score by 1.3% & true positive rate by 4.7%. Figure3: Segmentation Results. KEY FINDINGS SnE-VNet: Segments lesions of various sizes and shapes. has the potential to help clinicians to access better an d faster results, which will expedi te stroke diagnosis and managem ent significantly . REFERENCES [1] Feigin, V. L. et al., 2022 “International Journal of Stroke”. [2] Karakis, R. et al., 2023 “Journal of Biomedical Informatics”, 141. [3] Malik, M. et al., 2024 “Bioengineering”, 11(1), 86. [1] This work was funded by the Health Research Council of New Zealand. [2] [3] Red = False Negatives Green = False Positives
***Este documento está clasificado como PUBLICO por TELEFÓNICA. ***This document is classified as PUBLIC by TELEFÓNICA. Providing Secure NFV Multi-Site Connectivity Services DESCRIPTION OF COMPONENTS AND ARCHITECTURE VALIDATION OF THE SCENARIO PoC TEAM MEMBERS FISHY EU PROJECT L2S platform offers an abstraction of a layer-2 switch with VLANs support that spans multiple NFV sites. In addition, it protects data communications among NFV sites using standards protocols and state-of-the-art open-source technologies (such as VXLAN, or IPsec), preserving isolated operations of multi-site NFV services. The Centrally Controlled IPSec (CCIPS) goes beyond the classical point to point IPsec setup and provides a centralized architectural solution to control multiple IPsec endpoints or gateways. This solution is composed of a centralized E2E manager (controller) and two or more agents, based on IPsec engine in IKE-less mode (no IKE protocol is needed). @H2020FISHY https://www.linkedin.com/in/fishy-project- 16342920a/ • CCIPS agents orchestrated by CCIPS controller • Data and control nodes • Encryption algorithms • Lifetimes for SA • Events • CCIPS on • Rekey • CCIPS off • Traffic increases due to the exchange of encrypted packets https://fishy-project.eu/ FISHY has received funding from the European Union’s Horizon2020 Research and Innovation Programme, under grant agreement no. 952644 Control events Data traffic (TCP)
Center fo Innovativ CERTIFICATE OF A This certificate is presente Amel Beganovic For having successfully com "Summer Coding School 202 Blazor basics and applic Dragan Pepic Pr The course mentor Ce or Application of New a ve Technologies - NIT APPRECIATION ed to c mpleted training: 20" cations rof. dr Semsudin Plojovic enter NIT CEO CE DA DO and RTIFICATE ID:Blazor2020/1.9 ATE OF ISSUE: 20.10.2020. OI: 10.6084/m9.figshare.13125287
POBREZA EXTREMA POLÍTICAS Y REPRESIÓN AYUDA HUMANITARIA RESTRICCIONES DE DERECHOS ¿QUÉ ESTÁ PASANDO? IMPORTANCIA DEL AUTOCUIDADO 97% de la población vive en la pobreza. La pobreza ha aumentado desde el 47% en 2020. Matrimonio precoz y venta de órganos como opcione s desesperadas. La ayuda no cubre las necesidades básicas. La congelación de reservas y el recorte d e ayuda s limita n la economía. En 2022, la ayuda fue mayorment e humanitaria , evitan do hambrunas. Libertad de expresión suprimida y medios de comunicación restringidos. Aumento de ejecuciones públicas y empeoramiento de la situación de minorías. Refugiados y desplazados enfrentan graves dificultades. SITUACIÓN DE LAS MUJERES Cierre del Ministerio de Asuntos de la Mujer y creación del Ministerio de Propagación de la Virtud. Nuevas leyes restrictivas y código de vestiment a para mujeres. Arrestos de mujeres que protestan por su s derechos. Los tribunales para investigar violencia d e géner o est án cerrados. Las mujeres que denuncian violenci a so n castigada s po r l as autoridades. VIOLENCIA DE GÉNERO NORMAS Y DECISIONES PROVIENEN DEL PROPIO INDIVIDUO LA OPRESIÓN Y VIOLENCIA LIMITAN LOS DERECHOS DE LAS MUJERES AFGANAS ESENCIAL PARA EJERCER DERECHOS Y TOMAR DECISIONES INFORMADAS DIFICULTADES ECONÓMICAS IMPIDEN EL EMPODERAMIENTO CAPACIDAD DE ACTUAR EN FUNCIÓN DE ASPIRACIONES Y DESEOS NECESIDAD DE FOMENTAR LA EDUCACIÓN Y CREAR ESPACIOS SEGUROS PARA LA EXPRESIÓN Y EL APRENDIZAJE DERECHOS HUMANOS EN AFGANISTÁN AUTONOMÍA DESAFIOS Afganistán enfrenta una crisis humanitaria y de derechos humanos severa, exacerbada por la pobreza extrema y el control talibán. EDUCACIÓN Y TRABAJO Prohibición de estudiar y trabaja r fuer a de l hoga r des de diciembre de 2022. Exclusión de la vida pública pone e n peligro la salud, vida y dignid ad de las mujeres. Estudiante de Trabajo de Fin de Grado: Carlos Loor Millán Tutora del Trabajo de Fin de Grado: Sonia Verdugo Castro
ПСИХОЛОГІЧНИЙ СТАН МЕДИЧНИЙ ПРАЦІВНИКІВ ПІД ЧАС ПАНДЕМІЇ COVID-19: МЕТА-АНАЛІЗ Мета: оцінити дані психологічного стану медичних працівників в умовах пандемії COVID-19 у порівнянні зі спеціалістами немедичних спеціальностей. Мета: оцінити дані психологічного стану медичних працівників в умовах пандемії COVID-19 у порівнянні зі спеціалістами немедичних спеціальностей. Матеріали та методи. Ми провели систематичний пошук у базі PubMed та Cochrane Library до 27 грудня 2021 року статей англійською мовою. Використовували таку стратегію пошуку: (((COVID-19) OR (SARS_COV-2)) AND ((((mental health) OR (stress)) OR (anxiety)) OR (depression))) AND ((((nurse) OR (physician)) OR (doctor)) OR (healthcare worker)). Мета-аналіз включав лише результати обсерваційних досліджень, опублікованих англійською мовою, які вивчали рівні тривожності, депресії та стресу за шкалою DASS-21 серед медичних і немедичних працівників, та не мали ризику систематичної похибки відповідно до Кокранівського положенння про написання систематичних оглядів втручання. Мета-аналіз проводили за допомогою методу фіксованих ефектів за допомогою Review Manager 5. Результати: Мета-аналіз включав 2 дослідження із загальною кількістю 912 респондентів, які відповідали необхідним критеріям. Згідно з мета-аналізом було виявлено, що в умовах пандемії COVID-19 у медичних працівників рівень стресу в порівнянні з немедичними спеціальностями підвищився майже в 1,5 рази (OR = 1,47, 95% ДІ 1,02-2,12, p =0,040). Рівень тривожності медичних працівників порівняно зі спеціалістами інших галузей і спеціальностей під час пандемії зріс у 2 рази (OR = 2,07, 95% ДІ 1,45-2,96, p<0,001). Рівень тривожності медичних працівників порівняно зі спеціалістами інших галузей і спеціальностей під час пандемії зріс у 2 рази (OR = 2,07, 95% ДІ 1,45-2,96, p<0,001). Згідно з вибраними дослідженнями, рівень депресії у медичних працівників суттєво не відрізнявся від рівня в інших галузях (OR = 1,02, 95% ДІ 0,69-1,50, p=0,920). Згідно з проведеним аналізом рівень депресії у медичних працівників суттєво не відрізнявся від рівня робітників в інших галузях (OR = 1,02, 95% ДІ 0,69-1,50, p=0,920). Висновки. Таким чином, в контексті пандемії COVID-19 медичні працівники більш схильні до стресу та тривоги, ніж ті, хто працює в інших галузях. Однак слід враховувати невелику кількість включених досліджень через значні вимоги до якості відібраних аналітичних досліджень, що може призвести до мінливості результатів. Полтавський державний медичний університет Кафедра психіатрії, наркології та медичної психології Мац О.В., Бойко Д.І. matsoksana040@gmail.com
Submm Galaxies: Signposts of Protoclusters (an on-going investigation…) Co-Is: Peter Capak (Caltech, USA), Andrew Blain (Leicester, UK), Kartik Sheth (NRAO/ NASA), Thiago S. Gonçalves (Valongo), Claudia Scarlata (U. Minnesota), A. Charbonnier (Valongo), S. C. Chapman (Dalhousie U.), I. Smail (Durham U.), R. Ivison (Edinburgh/ESO) Karín Menéndez-Delmestre Valongo Observatory (UFRJ, Rio de Janeiro) Target candidate overdensities at z~2-5 (HDF-N, ELAIS-N2, COSMOS) using LRIS/Keck, IMACS/Baade, LFC/ Palomar and GMOS/Gemini-N ① Identification of overdensity members: > 200 Ly-α emitters 411 - Bs 411 -g 16h-field Ly-α NB selection of Ly-α emitters + spec follow-up of continuum detected objects with photo-zs λ Ly-α 4.5 4.6 4.7 4.8 Redshift 0 2 4 6 8 10 Number Of Galaxies SMG SMG SMG QSO SMG Redshift COSMOS SMG at z~4.5 Redshift peaks around SMGs KMD in prep.
To: Ms. Louise Chamberlain Resident Representative UNDP Kyrgyzstan To: Ms. Louise Chamberlain, Resident Representative UNDP Kyrgyzstan From: Ms. Aizhan Ussenaliyeva International Scientist and Researcher ( ORCID #0000-0002-7084-8352 ) Founder and CEO of Save Lake Balkhash International Research Project Dear Ms. Louise Chamberlain, I am an international female scientist and researcher, currently leading a scientific research dedicated to clean water preservation and multi-sectoral knowledge creation, transfer and exchange between heavy industrial technologies and climate change innovative solutions. As a founder and CEO of the first water data open research I represent millions of women across the globe who strive to find reasonable solutions to the most critical social threats, such as lack of access to clean water and sanitation, poverty, gender discrimination and climate change. There are 7 Global Sustainability Development Goals that my project corresponds to: SDG5 – Achieve gender equality and empower all women and girls, SDG6 - Clean water and sanitation SDG 11 - Sustainable cities and communities, SDG 12 - Responsible consumption and production, SDG 13 - Climate Action, SDG 14 - Life below water and SDG15 - Life on land. The DNA of my research is based on holistic relationships between nature and people and is programmed to create an ecological data to facilitate communication between academia, corporate world, governmental entities and public sector. My work was published in Science Magazine and recently I got invited to join the 6th International Conference on Environmental Sustainability and Climate Change as a speaker in Philadelphia, USA in August 21-22, 2023. I create an intersection between lakes reproductive cycle and energy security and my work benefits socio-economic development of Central Asian region. I created a free access open data library to share my knowledge for the benefit of global community and educated 50,000 people from 18 countries: https://figshare.com/authors/Aizhan_Ussenaliyeva/12049805 https://orcid.org/0000-0002-7084-8352 I am asking to support my independent scientific research by sponsoring my trip to the above mentioned international climate change conference and a website launch to educate more people across the globe. This will help to promote female-led scientific projects and climate change initiatives in Kyrgyzstan, where I reside and continuously work on my research. Sincerely, Ms.Aizhan Ussenaliyeva 03.06.2023 Save Lake Balkhash International Research Project Osmonkula 128, Office #4 Bishkek, Kyrgyzstan Tel.: +996508558511 Email: savelakebalkhash@gmail.com