DOI: 10.3897/rio.11.e156054

Authors: Mihael Ichim, Ruxandra Crețu, Valentin Grigoras, Madalina Popa, Ancuța Raclariu-Manolică, Camelia Stefanache

Abstract: Herbal food supplements produced from medicinal and aromatic plants (MAPs) are becoming increasingly popular to complement synthetic pharmaceuticals. This category of products is regulated under more lenient food product regulations rather than the stringent rules applicable to medicines. The effectiveness and safety of these products rely on various factors, including the varying phytochemical composition of the original plant material, potential adulteration, substitution and contamination from biological and chemical sources. The SAFEMAPS scientific research project aims to provide integrated analytical solutions that enhance the compliance and quality of food supplements derived from aromatic and medicinal plants. This project seeks to improve the safe use of these products by consumers, while promoting the sustainable exploitation of plant biodiversity. Within this project, an experimental model will be developed to assess the identity, authenticity, traceability and quality of herbal food supplements. This model includes analytical solutions that integrate phytochemical and molecular genetic analyses. The proposed solutions will prioritise the needs of the food supplements industry, particularly regarding the quality and compliance of herbal products sold in Romania and across the European single market. These solutions will also tackle various aspects of the supply chain, including growers or collectors of medicinal and aromatic plants, processors, importers and final consumers.

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DOI: 10.3897/arphapreprints.e106369

Authors: Christos Arvanitidis, Ron Dekker, Andreas Petzold, Niklas Blomberg, Giovanni Lamanna, Rudolf Dimper, Cristina Isabel Huertas Olivares, Ana Mellado, Matthew Viljoen, Sally Chambers, Montserrat González, Sophie Viscido

Abstract: The Special Collection of articles on the Science Projects of the EOSC Future project, funded by the European Commission, refers to one of the essential components of the project. This editorial article explains how the Science Projects fit to the EOSC Future, the way their concept has been developed and evolved during the preparation and the implementation of the project and it also makes an introduction to the templates developed by the Science Projects as a plan to carry out their activities.

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DOI: 10.3897/rio.8.e96714

Authors: Heidi Murray

Abstract: The Florida Keys Mosquito Control District (FKMCD) is an independent taxing district in Monroe County, Florida. The mission of FKMCD is to protect the community and visitors of the Florida Keys from mosquito-borne disease and prevent nuisance mosquitoes from impacting the quality of life of its citizens and the local economy. The State of Florida requires mosquito control programmes to provide recorded evidence of mosquito activity prior to pesticide application. Surveillance is an appropriate method to record the abundance and mosquito species present in an area to determine if adulticide applications are necessary. Mosquito surveillance traps have been set by FKMCD since 1998. Trapping is conducted throughout the District to document species composition and abundance. Mosquito surveillance is used for operational decisions for both nuisance mosquitoes and disease vectors.This dataset includes previously unreported mosquito trapping results in Monroe County, Florida. This dataset includes trap results collected from CDC light traps and BG Sentinel traps set weekly on Vaca Key, Flamingo Island, Key Colony Beach, Fat Deer Key, Crawl Key, Long Point Key, Grassy Key, Long Key and Lower Matecumbe Key from 1 January 2018 through to 31 December 2021.

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DOI: 10.3897/rio.7.e70183

Authors: Nazareno Scaccia, Taras Günther, Estibaliz Lopez de Abechuco, Matthias Filter

Abstract: In many interdisciplinary research domains, the creation of a shared understanding of relevant terms is considered the foundation for efficient cross-sector communication and interpretation of data and information. This is also true for the domain of One Health (OH) where many One Health Surveillance (OHS) documents rarely contain glossaries with a list of terms for which their specific meaning in the context of the given document is defined (Cornelia et al. 2018, Buschhardt et al. 2021). The absence of glossaries within these documents may lead to misinterpretation of surveillance results due to the wrong interpretation of terminology specifically when term definitions differ across OH sectors. Under the One Health EJP project ORION, the OHEJP Glossary was recently created. The OHEJP Glossary is a tool to improve communication and collaboration amongst OH sectors by providing an easy-to-use online resource that lists relevant OH terms and sector-specific definitions. To improve the accessibility of content from the OHEJP Glossary and support the creation of integrative glossaries in future OHS-related documents, the OHEJP Glossaryfication Web Service was created. This service can support the practical use of the OHEJP Glossary and other relevant online glossaries by OH professionals.The Glossaryfication Web Service (GWS) is an application that automatically identifies terms in any uploaded text-based document and creates a document-specific list of matching definitions in selected online glossaries. This auto-generated document-specific glossary can easily be adjusted by the user, for example, by selecting the desired definition in case multiple definitions were found for a specific term. The document-specific glossary could then be downloaded, manually adjusted and finally included into the original document where it supports the correct interpretation of terminology used. Especially in sector-specific reports, such as from animal health or public health authorities, this can be beneficial to ensure the correct interpretation by other OH sectors in the future. The GWS was developed with the open-source desktop software KNIME Analytics Platform and runs as a web service on a KNIME Web Server infrastructure. The core data processing functionality in the GWS is based on KNIME’s Text Processing extension. KNIME's JavaScript nodes provided the basis for an interactive user interface where users can easily upload their files and select between different reference glossaries, such as the OHEJP Glossary, the CDC Glossary, the WHO Glossary or the EFSA Glossary. After retrieval of the user input settings, the GWS tags words within the provided document and maps these tagged words with matching entries in the selected glossaries. As the main output, the user receives a downloadable list of matching terms with their corresponding definitions, sectorial assignments and references, which can then be added by the user to the original document. The GWS is freely accessible via this link as well as the underlying KNIME workflow.

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DOI: 10.3897/rio.4.e28047

Authors: Niamh Gallagher

Abstract:

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DOI: 10.3897/rio.3.e13726

Authors: Erin Dickie, Steven Hodge, R. Craddock, Jean-Baptiste Poline, David Kennedy

Abstract: We examine the similarity of outputs from Freesurfer version 5.1, Freesurfer version 5.3 and ANTS for the ABIDEI dataset.

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DOI: 10.3897/rio.3.e13394

Authors: Daniel Peterson

Abstract: Currently, the process of obtaining a 3D model from a structural MRI requires specialized knowlege and skills. This is not due to the fundamental difficulty and complexity of the process, but is a result of the fact that the neccessary tools were developed for and by neuroimaging researchers. This project describes a publically available utility implemented as a Docker image that takes a structural MRI as input, and gives files for 3D printing as output, along with a rendered image of the surface.

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DOI: 10.3897/rio.3.e13391

Authors: Richard Bethlehem, Marcel Falkiewicz, Jan Freyberg, Owen Parsons, Seyedeh-Rezvan Farahibozorg, Charlotte Pretzsch, Bjoern Soergel, Daniel Margulies

Abstract: Autism is a developmental condition associated with altered functional connectivity. We propose to re-frame the functional connectivity alterations in terms of gradients that capture the functional hierarchy of cortical processing from sensory to default-mode network regions. We hypothesized that this hierarchy will be altered in ASD. To test that, we compared the scale of gradients in people with autism and healthy controls. The present results do not support our hypothesis. There are two alternative implications: either the processing hierarchies are preserved in autism or the scale of the gradients does not capture them. In the future we will attempt to settle which alternative is more likely.

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DOI: 10.3897/rio.3.e12394

Authors: Kesshi Jordan, Anisha Keshavan, Maria Luisa Mandelli, Roland Henry

Abstract: Cluster-viz is a web application that provides a platform for cluster-based interactive quality-control of tractography algorithm outputs. This tool facilitates the creation of white matter fascicle models by employing a cluster-based approach to allow the user to select streamline bundles for inclusion/exclusion in the final fascicle model. This project was started at the 2016 Neurohackweek and BrainHack events and is still under development. We welcome contributions to the Cluster-viz github repository (https://github.com/kesshijordan/Cluster-viz).

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DOI: 10.3897/rio.3.e11931

Authors: Michael Doran, Adrian Barnett, Joan Leach, William Lott, Katie Page, Will Grant

Abstract: Multimedia video is rapidly becoming mainstream, and many studies indicate that it is a more effective communication medium than text. In this project we AIM to test if videos can be used, in place of text-based grant proposals, to improve communication and increase the reliability of grant ranking. We will test if video improves reviewer comprehension (AIM 1), if external reviewer grant scores are more consistent with video (AIM 2), and if mock Australian Research Council (ARC) panels award more consistent scores when grants are presented as videos (AIM 3). This will be the first study to evaluate the use of video in this application. The ARC reviewed over 3500 Discovery Project applications in 2015, awarding 635 Projects. Selecting the “best” projects is extremely challenging. This project will improve the selection process by facilitating the transition from text-based to video-based proposals. The impact could be profound: Improved video communication should streamline the grant preparation and review processes, enable more reliable ranking of applications, and more accurate identification of the “next big innovations”.

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DOI: 10.3897/rio.2.e9113

Authors: Katja Heuer, Satrajit Ghosh, Amy Robinson Sterling, Roberto Toro

Abstract:

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DOI: 10.3897/rio.2.e8758

Authors: Robert Chen, Ta-Chung Shen, Kuei-Ton Tsai, Chin-Yuan Hu

Abstract:

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