fairdataihub/poster-sentry-training-data huggingface dataset:
TORCH Digitization Hub: Streamlining Digitization Workflows for Natural History Collections Mr. Jason Best1, Mr. Diego Barroso1, Dr. Brian Witte2 1Botanical Research Institute Of Texas, Fort Worth, United States, 2Software Developer, , United States The TORCH Digitization Hub is a web-based platform designed to support specimen digitization workflows for multiple participants of a larger digitization group as well as workflows of individual organizations. The Hub bridges the gap between initial image capture and dissemination of images and metadata through specimen data portals. It is designed to provide collection managers, data managers, and digitization technicians with tools to simplify the processes of image upload, quality control, data extraction, and derivative image generation. The hub is a platform built on a foundation of open source components, allowing it to be freely distributed and modified and helping to accelerate the digitization workflows of natural history collections. Although many natural history collections have existing digitization workflows, these may not scale well internally or when multiple institutions must collaboratively digitize specimens across multiple collections. The Hub addresses some of these challenges by providing a solution for participants to upload specimen images into a central workflow platform where images and specimen data undergo multiple steps to ensure image quality, conformity, and completeness. Then, derivative images for dissemination are generated, and the complete end-product is uploaded to a web hosting platform to be used by the specimen portals. The Hub provides a web-based interface for managing workflows, monitoring progress and performance, and generating reports. It can be hosted in the cloud to support distributed digitization projects, or hosted locally to support workflows within a single institution. While the Hub was designed for the herbarium digitization workflows of the Texas Oklahoma Regional Consortium of Herbaria (TORCH) Thematic Collections Network, it can be adapted for other types of collections and workflows and, due to being open source, can be extended with other image management tools and technologies such as OCR and computer vision. The TORCH Digitization Hub project code and documentation is available at https://github.com/TORCH-TCN/torch_hub.
Inicio de vida sexual EDAD PORCENTAJE 12 años 1.7% 13 años 7.3 % 14 años 18.7 % 15 años 36% 16 años 19.3% 17 a 19 años 17% El embarazo en la adolescencia es un problema causado por multiples factores sociales. A pesar de la educacion en salud sexual y reproductiva, los embarazos adolescentes continúan siendo una preocupación en America Latina. Este estudio se enfoca en analizar factores subyacentes y mejorar los programas de prevención. INTRODUCCIÓN • Estudio en base a revisión bibliográfica de 11 artículos científicos en bases de datos como UpToDate, PubMed, Scielo, Elsevier, Journal y Google Scholar. • Términos de búsqueda solos o combinados con los operadores booleanos “AND” u “OR” de palabras clave embarazo adolescente, factores de riesgo, educación sexual y reproductiva, madres adolescentes y embarazos en Ecuador • Criterios de inclusión: idioma ingles-español, calidad de los artículos; criterios de exclusión investigaciones con más de 5 años de antigüedad. MATERIAL Y MÉTODO RESULTADOS • Estas adolescentes no tenían antecedentes de consumo de sustancias adictivas y su embarazo no era producto de una violación. El embarazo adolescente es un desafío importante en salud sexual y reproductiva, con implicaciones para el bienestar materno-infantil. Se requiere abordar los diversos factores que contribuyen al embarazo adolescente, con énfasis en la educación, la prevención y el acceso a servicios de salud adecuados. CONCLUSIÓN Guanoliquin Sonia, Pilatasig Erika, Tarco Estefanía edad porcentaje 14 a 19 años 62% 20 a 44 años 38% EDAD DE LA PAREJA DECISIÓN DE LA GESTANTE PORCENTAJE ABORTOS 55% CONTINUA LA GESTACION 45% Análisis de los Factores Subyacentes que Contribuyen a los Embarazos Adolescentes a Pesar de la Promoción y Educación en Salud Sexual y Reproductiva TOTAL CASO MUJERES 10-14 AÑOS 15-18 AÑOS 19-24 AÑOS 22239 7587 6053 8599 EMBARAZOS POR NO USO DE METODO ANTICONCEPTIVO 71,6% 58,0% 59,3%
Binaural Audio Tools for the Creative Industries MORE INFORMATION www.binci.eu @BINCI_EU NEW CULTURAL EXPERIENCES THROUGH 3D AUDIO www.binci.eu The project has received funding from the EU’s Horizon 2020 programme. Grant Nº 732130. 3D AUDIO IN MUSEUMS & CULTURAL SITES ewesemann@antennainternational.com PROJECT COORDINATOR info@binci.eu All partners of the BINCI project have been working collaboratively to develop an integrated market-ready software and hardware solution to ease the production, postproduction and distribution of binaural or 3D audio content. Sound designers, producers and artists will be able to create 3D audio content for interactive applications in the fields of music, virtual reality and cinema more easily. BINCI is a EU-funded project aimed at providing audio technology solutions to the European Creative Industries in order to push and pull the European market offer of innovative audio contents. THE PROJECT
An International Plant Sentinel Network as an early-warning system; research on future pest threats (IPSN II) Funding Mixed funding mechanism: Non-competitive and virtual pot. Each funder only pays for the participation of their own national researchers, in certain cases after national selection. Total funding € 440 000 ca. Picture 1 Picture 1 Picture 1 Goals The IPSN’s overall goal is to act as an early warning system for new and emerging plant pests and diseases; providing information that can help mitigate the impacts of such organisms or prevent their introductions altogether. In order to do this, the IPSN will utilise its already established network of botanic gardens, arboreta, plant protection scientists and National Plant Protection Organisations (NPPOs) as well as the tools and resources developed in the previous project. Research consortium DEFRA (GB), BMLFUW (AT), FPS (BE), CISTA (CZ), BMEL (DE), CREA (IT), SASA (GB), APHIS (USA), UNITUS (IT), UdL (ES), PHA (AU), UCPH (DK), CABI (GB), BBB (NZ), SLU(SE), CABI (CH), SDU (TR) Contact information Project coordinator: Katherine O’Donnel katherine.odonnell@bgci.org Key outputs and results • Key training and standardised surveying materials aimed at supporting garden staff with the opportunity to explore utilisation by a wider range of stakeholders. • European and international workshops in Euphresco partner countries and prioritised areas around the world. • Best practice and general support for botanic gardens and arboreta wishing to run citizen science projects or education programmes. • An electronic reporting system and front-facing database to track changes in plant health and gather information to enhance early detection and/or risk assessments. • Maps illustrating the distribution of gardens, host species and pest species. • Sentinel research projects for priority organisms and priority host species. Objectives • Enhanced early detection of new and emerging pests and diseases; including known and unknown organisms. • The project will support Pest Risk Analysis (PRAs) through research coordination and evidence gathering to address knowledge gaps to support PRA activities. • The establishment of a self-sustainable network. 01/2017-12/2019
Research data services in academic libraries: the essential list Ana Doñate-Cifuentes1, Fernanda Peset2, Antonia Ferrer-Sapena2, Consol García3 1Universidad CEU Cardenal Herrera, València, Spain; 2Universitat Politécnica de València, Spain; 3Universitat Politécnica de Catalunya-Barcelona Tech, Spain; consol.garcia@upc.edu Our objective: study about research data services in this type of library settings (America and Europe). Previously, the Carol Tenopir’s team reviews the situation in North America and Canada. The aim of our work is to build a list with the essential data services for the small libraries with a little budget, and describe the European situation. Acknowledgements: Wolfram Horstmann, Carol Tenopir, Imma Subirats and Eulàlia Serveto. Conclusion: The three essential services that all the academic libraries must offer as default are: consulting with faculty, staff or students on data management plans and metadata standards, and preparing data sets for deposit into a repository. Method: select the best institutions by bibliography and expert opinion, and the medium by regional criterion and DOAR review; check their web sites looking for the RDS; classify them by Tenopir’s team work. Consulting with faculty, staff or students on data management plans (costs, standards, storage...) Consulting with faculty, staff or students on data and metadata standards. Preparing data / data sets for deposit into a repository (formats, organizing, documentation, legal aspects, integrity,...) Providing technical support for research data services (RDS) systems (e.g., a repository, access and discovery systems) where can I release my data? Providing reference support for finding and citing data / data sets. Creating web guides and finding aids for data / data sets / data repositories. Identifying data / data sets that could be candidates for repositories on or off campus Creating data or transforming metadata for data or data sets. Discussing research data services (RDS) with other librarians, or other people on campus, or RDS professionals on a semiregular frequency. Deaccessioning / deselection of data / data sets for removal from repository Outreach and collaboration with other research data services (RDS) providers either on or off campus. Directly participating with researchers on a project (as a team member). Training coworkers in your library, or across campus, on research data services (RDS). 0000-0001-5708-8902 0000-0001-6432-917X 0000-0003-3706-6532 0000-0001-8085-0088 10 services 8 services 8 services 8 services 7 services 6 services 6 services 6 services 6 services 2 services Expert criterion: DOAR criterion: 6 services 5 services 4 services 3 services
@M4ESTRO_Project M4ESTRO EU Project www.m4estro-project.eu Technology Transfer Syst Resilient, transparent and flexible manufacturing processes in value chains A holistic framework based on 4 pillars Resilient equipment, AI and trusted data for adaptive manufacturing Resilient Simulations to the Industrial Metaverse for responsive manufacturing Human centered Manufacturing Resilience and Sustainability 17 Partners - 8 Countries - 42 Months – 6 Million Euros in funding Strategies and models for flexible, resilient, and reconfigurable value networks through Trusted and Transparent Operations Industrial Manufacturing As a Service
Our Advisory Board, collaborators and adopters include: BioSharing is a web-based, searchable portal of 3 interlinked registries, containing both in-house and crowd-sourced curated descrip?ons of standards, databases and data policies. Indicators of readiness and use highlight mature standards and databases endorsed by data policies from journals and funders. It’s so simple and quick to register your resource. Go to biosharing.org/new to get started.
MetaSearch: Phenotypic Search across public MRI data Satrajit Ghosh1, B. Nolan Nichols2, Katja Heuer3, Amy Robinson Sterling4, Roberto Toro5 1Massachusetts Institute of Technology, Cambridge, MA, 2Genentech, Menlo Park, CA, 3Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Princeton University, Princeton, NJ, 5Institut Pasteur, Paris, France Acknowledgements We acknowledge all who have made data available publicly and the support of Phase I funds for the Open Science Prize challenge. References [1] http://openneu.ro/ [2] https://github.com/OpenNeuroLab/metasearch [3] https://zenodo.org/ [4] https://osf.io/ Introduction Growing number of human brain imaging datasets shared online that have related metadata, such as disease diagnostics, age, sex and other phenotypic, demographic or imaging information. The 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data-sharing Initiative (INDI) are great examples of openly available brain imaging datasets with corresponding metadata. However, these data have diverse directory structures and file formats that make cross-dataset queries a time intensive project. With MetaSearch, we propose a Web platform that allows finding resources, filtering information by a user's needs, and enables social, distributed curation of scientific data. It is provided by the Open Neuroimaging Laboratory as a companion to BrainBox, a brain MRI curation and annotation tool. Methods MetaSearch provides an integrated view of projects organized under the FCP efforts, but also data from Open Science Framework, Zenodo, Dropbox and others. It accomplishes this by extracting metadata for these projects from the AWS cloud, transforming it into a common data model, and then loading the integrated dataset into the MetaSearch app. MetaSearch uses an implementation of parallel coordinate charts written in D3.js that allows for selecting subsets of multidimensional datasets that are also rendered in a tabular format using SlickGrid. By using this app you can perform queries visually to select a cohort of participants with brain imaging data based on their demographics and phenotypic information and then link out to imaging measures. Using GitHub, we provide a common platform for other developers to contribute additional datasets to the search engine. Faceted search Brainbox Integration Map your data
PROVISIONAL FINDINGS - Emergency Laws are Political Legal Regimes They are not temporary but permanently incorporated into the legal system 1. 2. They are performative, to declare them is also to create the emergency 3. They are under- performing War - First World War Insurgency - Algerian War Terrorist Threat - 2015-2016 Dictatorship - Vichy’s Government Riots & Violences - 1985 New Caledonia - Kanaky Disaster - COVID-19 How to react when the state security, when the public order is threatened? When the legal frame appears insuficient to properly answer to an unexpected crisis so important that it could lead to the political and social unstability of the nation? In these situation , the State often end up relying on Emergency measures taking the form of regimes of exception. Through Legal History, and with fundamental interdisciplinary elements from sociology and from political sciences, the goal of this research is to analyse these exceptionnal regimes through their applications in France in the last century. It analyses, by observing ke y periods of the application of emergency laws, how did they impact the legal frame of normalcy, the Fundamental Rights and Legal a nd Political Thought in general ? Louis Bremond louis.bremond@UGent.be WHAT ? - Case Study of applied Emergency Laws WHEN ? - 1914-2024 WHERE ? - France, its territories and its former colonies Taming the Black Swans A Century of Law and Emergency in France 4. They are “field regime” and variates greatly depending on the context
Rapana venosa Rapană CUM O RECUNOAȘTEM? Familia Muricidae, Clasa Gastropoda Gastropod de talie mare, cu cochilia globuloasă, cu spira evidentă, formată din 3 - 4 anfracte, care cresc încet şi regulat. Ultimul anfract este foarte dezvoltat, mult dilatat. Apertura este foarte largă, de formă ovală, strălucitoare în interior, de o culoare portocalie- roşcată; marginile aperturii prezintă cute. Ombilicul este mărginit de o îngroşare puternică, care formează o creastă pe marginea inferioară a cochiliei. Dimensiunile maxime ale cochiliei sunt de 7 - 12 cm înălţime şi 9 cm lăţime. Coloritul este brun-roşcat, adesea cu benzi brune sau striuri colorate mai intens. Specie răpitoare, bentală, are un regim nutritiv ﬂexibil consumând atât hrană vie cât și organisme aﬂate în descompunere. În alimentație predomină stridiile și midiile. Activitatea metabolică scade semniﬁcativ în perioada rece a anului (toamna-iarna) când se afundă în nisip, mâl sau se adăposteşte în crăpăturile stâncilor ﬁxându-se foarte strâns cu talpa de substrat. Perioada de reproducere durează din aprilie până în septembrie. Pontele sunt depuse sub forma unor cocoane semitransparente cu aspect de ciorchine. Numărul ouălelor într-o capsulă variază între 200 – 800. În medie o rapană depune 400 - 600 de capsule care sunt legate între ele, iar durata de formare a unei ponte este de 2 - 3 zile. Foto credit: https://ro.wikipedia.org/wiki/Rapan%C4%83#/media/Fi%C8%9 9ier:Rapana_Black_Sea_2008_G1.jpg https://ro.wikipedia.org/wiki/Rapan%C4%83#/media/Fi%C8%9 9ier:Rapana_venosa_01.JPG https://www.researchgate.net/publication/272992445_Dyna mics_of_Rapana_venosa_VALENCIENNES_1846_Gastropoda_Mu ricidae_Population_in_the_Black_Sea/ﬁgures?lo=1 http://ukrbin.com/index.php?id=339780 https://www.inthemoodforfood.fr/en/odessa-food-guide- ukraine/ Eclozarea larvelor se realizează după o lună de la reproducere. O perioadă larvele înoată activ în masa apei, perioadă în care se hrănesc intens cu ciripede şi, ulterior, se aşează pe fund. Activitatea ﬁziologică se intensiﬁcă la începutul verii, când execută deplasări active în căutarea hranei prin intermediul piciorului musculos, cu o viteză medie de 30 cm/min. În această perioadă execută migraţii ample pe verticală şi poate ﬁ întâlnită între 0,5 - 30 m adâncime. Capsule cu ouă
Resonances in doubly anisotropic, high-index nanoplatelets Bingying You, Tom T. C. Sistermans, and Alberto G. Curto background: n=1.0 nab = 4.5 Field monitor (for multipole expansion) Total-field/scattered-field (TFSF) source Scattering field monitor nab = 4.5 nab = 4.5 nz = 1.5 nz = 4.5 260 nm 230 nm 500 0 1 2 3 600 700 800 Wavelength (nm) 500 600 700 800 0 1 2 3 90 nm 60 nm Wavelength (nm) Scattering cross section ( 105 nm2) nz = 4.5 nz = 1.5 500 600 700 800 Wavelength (nm) 0 1 2 3 Anisotropy Diameter Height MoS2 layered structure MD ED 0 3 4 2 1 k E H scattering cross section (10⁵ nm2) 0 3 4 2 1 Total k E H MQ EQ 0 3 4 2 1 EQ ×10 ×10 MQ 500 700 600 800 Wavelength (nm) k E H 500 500 600 700 800 600 700 800 The two peaks exhibit different sensitivities to changes in anisotropy, which is a different behavior compared to changes in geometry Therefore, an in-plane magnetic dipole resonance is more sensitive to anisotropy than an in-plane electric dipole resonance Magnetic dipole is more sensitive to changes in anisotropy Multipolar decomposition Optical anisotropy plays a crucial role in the manipulation of light. However, its strength is limited to low values in conventional materials. Transition metal dichalcogenides possess both high refractive index and giant birefringence due to their layered structure. Here, we study the resonant optical response of individual nanoplatelets. We investigate the distinct impact of changing geometry and birefringence on the tunability of different resonances. We use a multiple expansion for analyzing the contribution of electric and magnetic dipole responses to resonances in nanoplatelets. These electric and magnetic multipolar resonances are sensitive to geometry and anisotropy in distinct and different ways. We envision that films consisting of disordered but oriented nanoplatelets could be used to enhance and direct light scattering and light emission, with applications in light-emitting devices and random lasers. Current and anisotropy Normalized current |Jz| Normalized current |Jx| ED 50% ED + 50% MD 90% ED + 10% MD λ = 521 nm, nz = 1.5 λ = 521 nm, nz = 4.5 λ = 690 nm, nz = 4.5 X z 0 0 10 20 30 60 100 nm Resonances dominated by electric and magnetic dipoles Anisotropy affects out-of-plane electric field/current Different resonances for different illumination conditions Understanding the impact of anisotropy Total: scattering cross section ED: electric dipole MD: magnetic dipole Total 500 600 700 800 Wavelength (nm) 0 0.5 1 1.5 2 2.5 Scattering cross section (105 nm2) MD ED Scattering with varying anisotropy Simulation configuration Layered structure Birefringence Ermolaev et al. Nat Commun 12, 854 (2021) Tatsuki,.et al. OSA Continuum 5, 4 (2021) weak interlayer force strong intralayer interactions large intrinsic Δn (nab-nc) high refractive index Giant anisotropy between ab-plane and c-axis Impact of changing anisotropy on resonances Geometrical tunability of resonances Resonances in nanoplatelets photonics.intec.ugent.be nano-optics.be Photonics Research Group, Ghent University-imec, Belgium
The Astromaterials Data System: A Comprehensive Platform for Preservation, Access, and of Mining Analytical Data of Extraterrestrial Samples Peng Ji, Kerstin Lehnert, Columbia University Cindy Evans, Ryan Zeigler, NASA Johnson Space Center Contact: pengji@ldeo.columbia.edu The Astromaterials Data System (AstroMat) is a joint project of the Geoinformatics Research Group at the Lamont-Doherty Earth Observatory and NASA’s Johnson Space Center (JSC) to develop a comprehensive data system that supports discovery, access, preservation, and analysis of analytical data generated by the study of extraterrestrial materials curated by JSC’s Astromaterials Acquisition and Curation Office, including lunar samples, meteorites, cosmic and interplanetary dust, solar wind, and other samples. AstroMat continues the NASA-funded MoonDB project, expanding data compilation to all JSC astromaterials collections, refining and augmenting the MoonDB database schema, and upgrading MoonDB applications to provide both integrated and specialized access to the JSC astromaterials collections. AstroMat is developed as an ecosystem that will help researchers, data curators, and developers track, manage, access, search and explore data and comprises the following components: - AstroDB: Storage database (PostgreSQL) with rich metadata content that integrates (fuses) data previously scattered across the scientific literature and in online PDF documents, making the data easily searchable and minable as a single data product with human and machine-readable interfaces. - AstroRepo: Repository for user-submitted digital content from astromaterials research (analytical data, data synthesis, images, models, etc), will seek CoreTrustSeal certification for Trusted Data Repositories. Includes RepoDB as the document database (MongoDB). - A series of web applications for specific purposes: - AstroAPIs: serves as a bridge between the storage database and all applications that retrieve data from the AstroDB database. - AstroAdmin: enables curators to create, curate, organize, annotate, and manage highest quality data content including metadata and analytical data. - AstroSearch, AstroRef, AstroPages and AstroVis provide interfaces for users to browse and explore the content of AstroDB, select samples and data that they are interested in, view and browse them, and download them in a useful format. ESIP Winter Meeting Jan 2019, DC AstroRef: Browsing the content of Astromat