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Final reports of JIP COVRIN and OHEJP exercise (SimEx) and evaluation reports

The present deliverable describes synergies and collaboration with the CSA CASTIEL 2 (Grant No 101102047) and the other Centers of Excellence (CoE) complementary to ESiWACE3.&nbsp

This deliverable is the first version of the Data Management Plan of the project. It sets up the context of how the data will be managed during the four years. It includes the numerical data but most importantly in this project, the management of the software and the personal data. It will be revised at Month 24 (D7.2 - Update of data management plan) and Month 47 (D7.4 - Final update of data management plan).

This document details the actions carried out and planned to be conducted, goals, target audiences, and tools to communicate and disseminate the project services/results and engage with the potential ESiWACE3 community. It is the “Communication, Dissemination, and Exploitation Plan” (CDEP). The deliverable summarises the actions already performed and the mid‐term planned activities for the first 18 months of the project—1 January 2023 ‐ 30 June 2024—. This CDEP will be regularly updated with the periodic reports due in months 18, 36, and 48.

D10.5 “Final Report on Implementation Activities” describes the work towards making the RIs in the solid Earth subdomain FAIR in terms of FAIRness of the assets and EOSC-interoperability. In this deliverable we therefore describe for each WP10 task, the work done to address the gaps identified by Deliverable “D10.2 Roadmap for implementation of FAIR concepts”, prioritised and harmonised in D10.3 “D10.3 Report on coordination, prioritisation, and harmonisation in the Solid Earth Subdomain”.

The deliverable "D10.3 Report on Coordination, Prioritization, and Harmonisation in the Solid Earth Subdomain," primarily focuses on the strategic prioritization of activities aimed at enhancing the application of FAIR (Findability, Accessibility, Interoperability, and Reusability) principles across various Earth Science disciplines in WP10. This document provides an overview of the selected activities, explaining their prioritization based on the gap analysis and need for improvement in FAIRness. The report reflects upon the efforts of the European Plate Observing System community in embedding FAIR principles from the outset and further improving its commitment through these prioritized activities. Key initiatives include the harmonisation of metadata, implementation of Persistent Identifier systems, data and metadata lifecycle management, and the development of common vocabularies across multiple Earth Science domains. The success of these activities highlights the importance of strategic planning and prioritization in enhancing FAIRness and overall data management effectiveness in the ENVRI community.

D10.7 “Final Report on EPOS Policies and Governance for FAIR and EOSC” describes the work done towards ensuring that clear policies are in place with the governance to provide assurance. It builds on MS66 and D10.6. In this deliverable we therefore describe the EPOS policies and associated governance. It should be noted that a Policy Group continues within EPOS to review policies, provide policies when missing, propose appropriate governance and commission IT support. This group has also provided much input for WP4 including running workshops.

The Deliverable "D5.4 ENVRI Service Catalogue" presents the development, implementation, and operation of a comprehensive service catalogue within the context of the ENVRI-FAIR project. The deliverable outlines the creation of a FAIR compliant and EOSC-ready catalogue, primarily focusing on services providing access to data. The innovative design and implementation of the catalogue embrace the adoption of rich metadata standards for ingestion and storage, namely EPOS-DCAT-AP metadata profile and the CERIF model, facilitating the description of diverse services across different research infrastructures (RIs). The validation processes, including service validation at the subdomain level, FAIRness evaluation, and an implementation phase, ensure the robustness, accuracy, and FAIR compliance of the catalogue, promoting its interoperability with the EOSC catalogue. The deliverable further details the operation of the catalogue, which involves a harmonised effort among service providers, backend developers, and front-end developers. It underscores the ongoing endeavour to ingest more metadata records, provide support for metadata curation, and work towards semantic interoperability. Future work, as outlined in the deliverable, involves enhancing the catalogue's operation by improving metadata quality, enhancing semantic interoperability, and adapting to the diversity of service types from different RIs. The ENVRI Service Catalogue represents a pivotal step towards advancing FAIR practices in environmental research. Its development, implementation, and operation symbolise an ongoing commitment to continuous improvement, adaptation, and learning, with the ultimate goal of propelling environmental research towards new horizons of discovery and innovation. By aligning with the EOSC catalogue requirements, it envisions a broader, more integrated network of scientific resources, thus empowering global researchers. The ENVRI Service Catalogue, as the embodiment of the ENVRI-FAIR project's vision, promises to facilitate open, FAIR, and efficient access to services and data in the environmental research domain.

This deliverable focuses on capturing the current status of testing and validation of services from the RI’s and ENVRI-Hub itself, that are both exposed to EOSC. This means that services are in scope that are shared via the ENVRI Catalogue of Services to the EOSC marketplace. The EOSC validation activities will check the readiness of the ENVRI-FAIR services at the sub-domain and cluster level for uptake and integration into EOSC (e.g. is there a test plan, monitoring, ..) together with their possible integrability into the ENVRI service catalogue being developed in WP5.

This report presents a synthesis of the progress of FAIRness for the atmospheric subdomain in the project with links to relevant documents. Furthermore, the report provides a strategy for the future development of the atmospheric subdomain and common recommendations to consolidate the atmospheric subdomain contribution beyond the ENVRI-FAIR project.

This report presents the implementation of the FAIR principles across the atmospheric subdomain over the ENVRI-FAIR project period. The report starts with the introduction and background for the baseline for the FAIR implementation of the atmospheric subdomain. Subsequently, the progress, achievements, and status of FAIRness within the atmospheric subdomain is described in 2 levels. Section 2.1 documents the progress and FAIRness in accordance with the implementation plan, whereas section 2.2 reports a summary and assessment of the FAIR implementation Profile (FIP), including FAIR convergence within the atmospheric subdomain. A section comparing the atmospheric sub-domain with all the environmental domain is also included. The final section 3 gives a summary of the main achievements for the atmospheric subdomain and highlights what can be done now compared to the start of the work in 2019.

The report provides the scope of the sustainability for the data management of the Marine subdomain, for the research infrastructures themselves and with respect to their contributions to ENVRI-FAIR and EOSC. Recommendations to consolidate the sustainability of the Marine subdomain contribution to EOSC beyond the ENVRI-FAIR project and the RI services are proposed.

Managing and sharing data during a research project has clear advantages. It allows one to quickly find and understand the data when one needs to use it. It also gives continuity if project staff leave or new researchers join, and it avoids unnecessary duplication. A Data Management Plan (DMP) helps to save time and effort and makes the research and data-sharing process easier. By considering in advance what data will be created and how one can organize the necessary support concerning personal data and compliance with the General Data Protection Regulation (GDPR) and the UK General Data Protection Regulation (UK GDPR) legislations and protection of individual Intellectual Property Rights (IPR).

The goal of this document on conceptual grounds and common understandings is for project partners from different backgrounds to have the same understanding of guiding concepts and principles, which will help to communicate and cooperate effectively. In the document we addressed Different approaches and definitions of NBS Typology of NBS, Key concepts connected to NBS, The role and potential of NBS in agriculture, Different types of NBS in agriculture including agricultural production and agricultural landscapes. The paper summarises the state of the art in NBS and related fields, with the aim of facilitating the understanding between partners and contributing to specific objective interdisciplinary and transdisciplinary systemic research conducive to a transformative learning approach towards sustainable agricultural practices.&nbsp

This report presents the extended implementation of the FAIR principles by ICOS Atmosphere during the ENVRI-FAIR project.

The landscape of Research Infrastructures (RIs) in Europe is broad, and the landscape is also constantly evolving as new projects are starting, many of them aiming to become RIs in the long run. Despite the heterogenous nature of RIs, in Europe the ENVRI community gathers the Environmental Research Infrastructures, projects, networks and other diverse stakeholders together to discuss the RI matters from the environmental perspective. This deliverable provides a summary of the work done in the ENVRI-FAIR project task T2.2 ENVRI Community building and engagement. Firstly, the results of the mapping of the current Environmental Research Infrastructure landscape are summarised, and secondly the organised events for engaging and informing the community are described.

Marine subdomain EOV product version 2 is available publicly. The overarching goal of ENVRI-FAIR is that all participating research infrastructures (RIs) will improve their FAIRness and become ready for connection of their data repositories and services to the European Open Science Cloud (EOSC). Deliverable D9.1 has reported on the roadmap of the RIs in the marine subdomain towards improving their FAIRness. It presented the approach of using FAIR questionnaires (together with WP5) to identify the strengths and weaknesses of each RI and a first indicative set of activities to improve identified weaknesses or gaps. After formulation in Deliverable D9.2 of implementation plans for mitigating these gaps during the next phase of the ENVRI-FAIR project, the RIs from the marine subdomain have specified in Deliverable D9.3 the technical services and interfaces to be implemented at RI level and have undertaken the implementation. The RI vocabularies and erddap services were presented in Deliverable D9.4 and the operational list of FAIR services presented in Deliverable D9.5. The present Deliverable D9.8 is linked to Task 9.8 going from M24 to M48 and aiming to demonstrate the marine subdomain FAIRness. A first version of the ENVRI-FAIR Marine semantic Essential Ocean Variables (EOV) data broker was already presented in Deliverable D9.7, and this deliverable D9.8 presents the version 2 software, which includes new technologies for performance enhancement. This version 2 is now available on GitHub and preserved on Zenodo: • https://github.com/envri-fair/marine-eov-broker • https://doi.org/10.5281/zenodo.7871643

In this concept we will define the technical details (e.g.: name, response time, contact), rules and roles (e.g.: 1st-level- and 2nd-level-support), and certain answer types we expect for the basic internal support platform. The queue system will be based on the use of the support categories which have been defined together with M2.1 for the distribution of support requests to the support agents that have expertise in these categories. The documentation of the support standards and the internal communication between the agents is described. The annex contains templates for standard answers., This work has been funded by the German Research Foundation (DFG) through the project NFDI4Earth (DFG project no.460036893, https://www.nfdi4earth.de/) within the German National Research Data Infrastructure (NFDI, https://www.nfdi.de/).

This document, Deliverable 3.1, presents the final analysis of the survey results. The survey results were analysed to perform a FAIRness evaluation of the data infrastructures that have been selected for the scope of the use cases and also to answer the question of feasibility of linking individual level data. This deliverable builds on Milestone 3.2, which presented the initial analysis of the results relating to the cancer use case, focusing only on the results received from the Finnish data infrastructures. D3.1 extends the analysis to include all the survey results. In relation to the cancer use case, the list of relevant data collections to survey was identified in collaboration with the cancer use case leaders and HealthyCloud partners from Belgium, Finland, Germany and Spain. The research question on cancer requires individual level data linkage from the health interview survey, health examination survey, cancer registry, genomic data collections and statistical registries for socioeconomic data. The research question on atrial fibrillation requires different types of data from patient registries in Europe, such as ECG, MRI, biomarkers, genomic and clinical data. The list of relevant data collections was identified in collaboration with the atrial fibrillation use case. We received 20 responses to the survey out of a total of 26 surveys sent. In this document we present the administrative information about each data infrastructure, information about the data they provide, such as the level of aggregation, whether it is anonymised or pseudonymised, about data quality aspects, coverage and standards used to structure the data and regarding the compliance with the FAIR principles.

OHEJP exercise SimEx

OHEJP exercise SimEx final report

This report presents the implementation of the FAIR principles by EISCAT_3D.

This report presents the implementation of the FAIR principles by ACTRIS Data Centre over the period January 2019 – February 2023.

This report presents the implementation of the FAIR principles by IAGOS.

This deliverable provides the “The FAIRness of SIOS” and refers to the status of the implementation in relation to the updated, 2nd version of the implementation plan from September 2021. This includes the implementation of services for meta data and data access including machine-to-machine interfaces within the ENVRI hub, and outside, utilising e.g., vocabulary and ontology specifications. It summarizes the FAIR implementation plan, the progress on FAIRness and the remaining tasks for SIOS. The main achievements are listed and an outlook on the next 5 years is given.

Rationale and Objectives Imaging Informatics is an emerging and fast-evolving field that encompasses the management of information during all steps of the imaging value chain. With many information technology tools being essential to the radiologists’ day-to-day work, there is an increasing need for qualified professionals with clinical background, technology expertise, and leadership skills. To answer this, we describe our experience in the development and implementation of an Integrated Imaging Informatics Track (I3T) for radiology residents at our institution. Materials and Methods The I3T was created by a resident-driven initiative funded by an intradepartmental resident grant. Its curriculum is delivered through a combination of monthly small group discussions, operational meetings, recommended readings, lectures, and early exposure to the National Imaging Informatics Course. The track is steered and managed by the I3T Committee, including trainees and faculty advisors. Up to two first-year residents are selected annually based on their curriculum vitae and an interest application. Successful completion of the program requires submission of a capstone project and at least one academic deliverable (national meeting presentation, poster, exhibit, manuscript and/or grant). Results In our three-year experience, the seven I3T radiology residents have reported a total of 58 scholarly activities related to Imaging Informatics. I3T residents have assumed leadership roles within our organization and nationally. All residents have successfully carried out their clinical responsibilities. Conclusion We have developed and implemented an I3T for radiology residents at our institution. These residents have been successful in their clinical, scholarship and leadership pursuits.

The potential benefits of autonomous systems are obvious. However, there are still major issues to be dealt with before developing such systems becomes a commonplace engineering practice, with accepted and trustworthy deliverables. We argue that a solid, evolving, publicly available, community-controlled foundation for developing next-generation autonomous systems is a must, and term the desired foundation Autonomics. We focus on three main challenges: (i) how to specify autonomous system behavior in the face of unpredictability; (ii) how to carry out faithful analysis of system behavior with respect to rich environments that include humans, physical artifacts, and other systems; and (iii) how to build such systems by combining executable modeling techniques from software engineering with artificial intelligence and machine learning.

This document provides an overview of the management and administrative procedures of the ESiWACE3 Project in order to facilitate efficient project execution as well as high-quality project results. The document will provide the ESiWACE3 consortium with a concise reference to the project management structure, tasks, and responsibilities at all levels of project execution. It establishes the management bodies and responsibilities in order to ensure timely and correct production of the results and deliverables as well as the quality and risk management plan.

Open source software provides an example not only of a viable software development methodology, but also a model for collaborative construction of artifacts. Open source communities exemplify principles that are important in collaborative learning environments. This paper explores how open source efforts can be used as inspiration for the creation of collaborative learning experiences in a university course. Concrete public deliverables and use of collaborative technology help students explore ill-defined projects that are personally meaningful. This paper provides a description of open source principles, their role in designing collaborative learning experiences, the application of these principles in a university course, and the findings based on analysis of course projects and collaborative technology.

This report presents the portfolio of Atmospheric subdomain added-value products which have been developed for the ENVRI-FAIR catalogue of services.

The report presents the portfolio of Atmospheric subdomain web-processing services which have been developed for the ENVRI-FAIR catalogue of services.

Background The University of Limerick Cancer network (ULCaN) was established in 2019 with funding from the Health Research Institute at the University of Limerick in order to build a network between individuals in academia, primary and secondary care and the general public so that cancer services can be coordinated and more effective. The aim of this paper is to outline our experience of engaging with stakeholders to identify gaps in the cancer journey locally. Methods Four focus group discussions were conducted with patients; their carers; members of the public; and healthcare providers with 2 main aims: 1) to investigate gaps in cancer services; 2) to identify knowledge, attitudes and opportunities available to promote cancer research. The focus groups were audio recorded, transcribed and thematically analysed. Results 15 themes within the topics of cancer care, palliation, communication, clinical trials, diet and exercise and public and patient involvement in research and advocacy were identified. These include directing people to reliable information and navigating misinformation and stigma linked with cancer, promoting awareness of clinical trials and palliative care services and improving communication when multiple healthcare providers are involved. Conclusion The need to make more coherent, efficient and integrated cancer research amongst local stakeholders was evident. Embedding patients and members of the public into ULCaN is an important deliverable for collaborative research.

Humans need blood to live and there is no substitute for it. Based on the statistics gathered by the Australian Red Cross, 1 in 3 people will need a blood donation once in their lifetime. However, only 1.5% of Indonesian people donate their blood. In order to rectify this unbalanced blood donation supply and demand, an application named Game4Life was developed and tested. This paper aims to implement ‘gamification’ on iOS devices to encourage users to donate their blood and help to end this shortage. This paper focused on developing features that would help blood donors to schedule their donation as well as a reward and achievement system to motivate future donors and keep them engaged. The deliverable prototype of this paper is implementable and expandable in real life with the cooperation of Palang Merah Indonesia (Red Cross Indonesia) and a company sponsor. Based on the User Acceptance Test results and Palang Merah Indonesia's response, Game4Life has successfully satisfied its scope and requirements.

Community engagement experiences in STEM fields are typically project-based, which introduces components and considerations not explicitly addressed by models commonly used in community-engaged learning more broadly. This paper is a narrative on how we reflected on current models, developed a new one designed for project-based community engagement experiences, and where we see it being useful into the future. While existing models can be useful for STEM-based project teams, project-based engagement raises further questions and presents additional features, such as the existence of the dual value generators of both the project deliverable and project process. We concentrated on providing a macroscopic view of project-based community engagement to organize aspects of a program and maximize positive features while managing resources. The visual model has been developed to facilitate reflection on program design, development, operation, and assessment. It can facilitate intentional consideration, definition, and organization of stakeholders, project deliverables, project process, resources input, and value produced. We foresee several potential uses for this model as a conceptual framework and practical tool for community engagement experiences and programs.

This paper reports on the results and further extensions of a concept project that was financially supported by VINNOVA (Sweden’s innovation agency). The project aims, by integrating BIM and GIS, to support traffic safety and contribute towards decreasing the probability of car accidents in general and car-bicycle in more specific. The main objective of the project was to investigate different technologies that support the out- and indoor navigation of moving objects on building and geospatial city models based on BIM and GIS, and to present real life objects which help traffic users in taking better decisions. The concept study had a consortium of six partners (academic and industrial). The project resulted in a proposed solution to be implemented in the ongoing extension of the same project. The proposed solution is argued to be comprehensive that utilises BIM-GIS integration, their capabilities and Real Time Positioning Services (RTPS) for smart cities’ applications. Beside its scientific impact, it can be strongly argued that the proposed solution has a high potential for social-economic impact in creating the awareness and framework for automotive, light-weight vehicles manufacturers and automotive appliances suppliers to collaborate in facing this type of rising traffic problem. In addition to that, the open-source nature of the project will encourage different industrial parties to participate and re-utilize the project’s deliverables in new methods and ideas.

This paper is the documentation of a graduation internship at Digital Society School (DSS) in which they teamed up with Ajax Fancare to solve their logistical problem and enhance the fan experience. Ajax Fancare is facing a logistical problem in manually answering every fan’s question via calls, emails, social media, or live chat. They believe that chatbot is the solution to this problem. The goal of this project is to research, design, and prototype a chatbot that could tackle the logistical problem and enhance the fan experience. The deliverable is a chatbot prototype and architecture in which Ajax Fancare could build upon for their future customer service chatbot. The main question of the research is answered by the chatbot architecture: Jax the Architecture, a conversational tree of all the possible interactions between a user and the chatbot. The final chatbot architecture answers the research question by mapping together the main elements of the chatbot such as the information fans needed from Ajax Fancare and additional features that create a new and inclusive experience. The prototypes and final chatbot architecture are ready to be tested for further research and serve as a cornerstone for future development of the Ajax Fancare chatbot.

The Data Management Plan (DMP) contains information on the kind of data generated in the project, suggested policies, standards, and sustainability activities related to the created data services, including software solutions for the services. This is done in close collaboration with the work packages on FAIR Policies and common technical solutions, to ensure the management of knowledge in the project is maintained following the FAIR principles. The DMP covers data, documents and solutions created within the project (i.e., not the data provided by the RIs in their services, which is part of their service policies). It describes the data (including metadata) and software standards, availability, curation, and preservation methods, and is based on the Digital Curation Centre model for DMPs. The first update of the DMP details the tools and systems which are used to maintain personal data and digital assets generated in the project. The second update includes additional data types and corresponding tools for storage. In the final DMP another couple of data types and tools were added, especially the FIP Wizard for the generation of FAIR Implementation Profiles (FIPs).

Purpose Industrialized construction (IC) leverages manufacturing principles and innovative processes to improve the performance of construction projects. Though IC is gaining popularity in the global construction industry, studies that establish the best practices for implementing IC projects are scarce. This study aims to benchmark practical lifecycle-based best practices for implementing IC projects. Design/methodology/approach The study used a qualitative research design where nine IC cases from Australia, Singapore and Hong Kong were analysed to identify best practices. The methodological framework of the study followed well-established case study research cycle and guidelines, including planning, data collection, data analysis and reflection on findings. Findings The study identified and allocated key considerations, relevant stakeholders, best practices, typical deliverables and best indicators to the different construction lifecycle phases of IC projects. It also developed a lifecycle-based framework of the best practices for IC projects. Practical implications The study provides practitioners with practical insight into how best to effectively implement, manage and evaluate the performance of the IC project lifecycle phases. The proposed framework can serve as a practical diagnostic tool that enables project partners to evaluate the performance upfront progressively and objectively in each project lifecycle phase, which may inform timely corrective actions. Originality/value The study’s novelty lies in developing a framework that identifies and demonstrates the dynamic linkages among different sets of best practices, typical outputs and best practice indicators across the IC project lifecycle phases.

Introduction. Due to the destabilization of the situation in the countries of the South Caucasus in 2020, the region is of particular relevance today. At the present stage, it is an object of geopolitical competition for numerous international actors: the Russian Federation, the United States of America, the European Union, the Republic of Turkey. The article examines the EU policy in the process of implementing the Eastern Partnership program as part of the European political strategy. In relation to the South Caucasus region, the interim results of the EU’s activities on the implementation of 20 deliverables for 2020 in relation to the states of the South Caucasus are analyzed. Methods. Comparative analysis makes it possible to give a comprehensive assessment of European policy in the region by identifying priority areas and development prospects by comparing the intermediate results of 20 deliverables for 2020 in the South Caucasus countries within the framework of their bilateral relations with the EU. Analysis. The analysis of the activities of the European Union in relation to the South Caucasus countries is associated with the determination of the prospects for the development of the European strategy in the region. The analysis included tracking the dynamics of the implementation of the 20 deliverables for 2020 in relation to Azerbaijan, Armenia and Georgia, as well as options for developing a European strategy in the South Caucasus countries, taking into account the new policy in the context of the Eastern Partnership beyond 2020. Results. As a result of the analysis, the EU’s competitive advantages in the South Caucasus were determined by identifying areas in which the EU’s geopolitical interests intersect with other actors.

Highlights • Deep learning resulted in excellent VMAT dose predictions for prostate cancer. • The network was trained on image triplets, outperforming 2D based dose predictions. • A novel workflow to convert predictions into deliverable plans was implemented., Background and purpose Radiation therapy treatment planning is a manual, time-consuming task that might be accelerated using machine learning algorithms. In this study, we aimed to evaluate if a triplet-based deep learning model can predict volumetric modulated arc therapy (VMAT) dose distributions for prostate cancer patients. Materials and methods A modified U-Net was trained on triplets, a combination of three consecutive image slices and corresponding segmentations, from 160 patients, and compared to a baseline U-Net. Dose predictions from 17 test patients were transformed into deliverable treatment plans using a novel planning workflow. Results The model achieved a mean absolute dose error of 1.3%, 1.9%, 1.0% and ≤ 2.6% for clinical target volume (CTV) CTV_D100%, planning target volume (PTV) PTV_D98%, PTV_D95% and organs at risk (OAR) respectively, when compared to the clinical ground truth (GT) dose distributions. All predicted distributions were successfully transformed into deliverable treatment plans and tested on a phantom, resulting in a passing rate of 100% (global gamma, 3%, 2 mm, 15% cutoff). The dose difference between deliverable treatment plans and GT dose distributions was within 4.4%. The difference between the baseline model and our improved model was statistically significant (p

This study adopted several pedagogical foundations to determine if an interdisciplinary, problem-based learning (PBL) opportunity applied to teaching sport marketing would improve student’ individual and group oral communication skills. Faculty from two departments collaborated to create an assignment that was a hands-on class project designed around formative assessment, lecture intervention, and final PBL deliverable. The PBL and interdisciplinary design addressed the need for enhanced communication skills in the sport management industry. The study results indicate a successful development of the students’ data analysis and presentation skills. Findings confirm an interdisciplinary approach to PBL by implementing communication skill development across disciplines.

This work explores the benefits of increasing transmission capacity between the US Eastern and Western Interconnections under a high-renewables future. Given the existing “seam” between the two interconnections, a co-optimized infrastructure planning model was developed to assess trade-offs between investments in cross-seam HVDC transmission, AC and DC transmission needs within each interconnection, generation investment costs, and operational costs, at different renewable penetration levels. The model allows existing and candidate generation resources for deliverable planning reserves to be shared throughout the interconnections, a feature which drives identification of least-cost investments. This work is performed using an industry-vetted 169-bus representation of the North American power grid. Results from this analysis indicate that, under high wind/solar growth scenarios, the cost of a macrogrid HVDC transmission is outweighed by the generation-related savings they produce. The presence of other benefits related to grid reliability, resilience, and adaptability, suggest that cross-seam transmission is highly attractive infrastructure.

Background The Silk Vista Baby (SVB) flow diverter (FDS) is the only FDS deliverable via a 0.017 inch microcatheter and is specifically designed for the distal vasculature. We sought to evaluate the safety and efficacy of the SVB. Materials and Methods We performed a retrospective review to identify SVB cases at 4 tertiary neurosurgical centres within the U.K. Clinical, procedural, angiographic and follow-up data were collected. Results We identified 60 patients (35 female, 58%) of average age 54 ± 10.5 (range 30–72) with 61 aneurysms, 50 (81.9%) located in the anterior circulation. The majority of the aneurysms treated were unruptured (46, 75.4%) and saccular (46, 75.4%). Dome size was 6.2 ± 6.2 mm (range 1–36mm) and parent vessel diameter was 2.3 ± 0.4 mm (range 1.2-3.3 mm). An average number of 1.07 devices were implanted. Coils or other devices were implanted in 14 aneurysms (23.3%). At last angiographic follow-up (n = 55), 7.5 ± 4.2 months post-procedure, 32 aneurysms (57.1%) were graded as RRC I, 7 (12.5%) RRC II, and 17 RRC III (30.4%). Clinical complications, excluding death, were seen in 4 patients (6.8%) including 1 delayed aneurysm rupture and 3 symptomatic ischaemic events. Only one patient had permanent morbidity (mRS 1). 3 patients died during follow-up (5.1%); 2 deaths were related to the aneurysms (3.4%) – one ruptured dissecting MCA aneurysm, and one giant partially thrombosed posterior circulation aneurysm. 93% of patients were mRS ≤ 2 at last follow-up. Conclusion The SVB has high rates of technical success and an acceptable safety profile. Distal aneurysms may occlude slower due to relative oversizing of the devices.

With the advent of the era of big data and Web 3.0 on the horizon, different types of online deliverable resources in the pedagogical field have also become raft. Massive Open Online Courses (MOOCs) are the most important of such learning resources that provide many courses at different levels for the learners on the go. The data generated by these MOOCs, however, is often unorganized and difficult to track or is not used to the extent that allows identification of learner types to facilitate better learning. The proposed approach in this paper aims to detect the learning style of a learner, interacting with the MOOC portal, dynamically and automatically through a novel, indigenous and in-built browser extension. This extension is used to capture the usage parameters of the learner and analyze learning behavior in real-time. The usage parameters are captured and stored as a learner ontology to ease sharing and operating across different platforms. The learning style so deduced is based on the Felder Silverman Learning Style Model (FSLSM), where learner’s behavior under multiple criteria, vis-`a-vis perception, input, understanding, and processing are measured. Based on the generated ontological semantics of learner’s behavior, multiple models can be made to facilitate precise and efficient learning. The result shows that this state-of-the-art approach identifies and detects the learning styles of the learners automatically and dynamically, i.e., changing over time

We summarize the current state of the ENVRI-FAIR approach to ICT consultancy for research infrastructure managers and developers, aimed at technology convergence across the community of environmental research infrastructures (ENVRIs) in order to ensure the production of FAIR (meta)data across the community. Of particular focus are the recent developments in FAIR assessment and showcasing how the advanced approach leads to improved insights into FAIR principle implementation in ENVRIs. Furthermore, we review the progress along the range of instruments for consultancy at our disposal and how we have been using them to support ENVRIs in implementing the FAIR principles.

Direct Current (DC) power transmission offers many benefits over Alternating Current (AC) andit is therefore making fast inroads in electrical energy systems all over the world. High voltagedirect current transmission High-voltage Direct Current (HVDC) offers efficient transmissionover long distances particularly when cables must be used, for instance for subsea links. DCis also used at low voltage, for instance for grids supplying the many servers in data centres.Also at medium voltage (>1500 V – 50 000 V) DC potentially offers significant advantages inmany applications. The power conversion chain can be simplified and power flow can be moreaccurately controlled. The HYPERRIDE project (HYbrid Provision of Energy based on Reliabilty and Resiliency viaIntegration of Dc Equipment) contributes to the field implementation of DC and hybrid AC/DCgrids. Starting with the definition of most relevant fields of application for DC grids (local microgrids, grid enforcement to overcome congestions, coupling of AC grid sections, etc.), theenabling technologies shall be specified in detail on different levels. One such enabling technology is Direct Current Circuit Breakers (DCCBs) for Medium-Voltage Direct Current (MVDC)grids. Even though MVDC DCCBs are available for DC railway systems e.g., MVDC distributiongrid applications have different requirements, mainly with respect to the speed of operation. Inrecent years different DCCB prototypes for grid applications for MV have been developed usingstate-of-the-art (mechanical) techniques but also novel solutions, such as the VSC-assistedresonant current (VARC) concept from the project partner SCiBreak AB. In this report, the most important grid parameters (e.g. grid configuration, converter topology,DC reactor size) impacting the requirements for DC circuit breakers are analysed by means ofsimplified circuit models. The results of grid simulation studies concerning the consequencesof short circuit scenarios for DCCBs in real a MVDC demonstrator grid as well as in a fictional 14 kV grid are also presented. A list of requirements for MVDC circuit breakers is put together in the report. Moreover, a review of HVDC standards and standards concerning DC railway applications that may be relevant for establishing MVDC standards in the future is given, with the indication of relevant technical brochures and normative documents that are likely to be published in the upcomingyears.

This report describes the steps for properly sizing and selecting, depending on expected performance, safety and operators training, the DC components that will be integrated in the Terni Pilot infrastructure. The demonstrator in Terni is aiming at achieving the HYPERRIDE objectives,demonstrating the benefits over the conventional Alternating Current (AC) grids. especially bythe integrating renewables in hybrid AC/DC grids. This is enabling the identification of solutions to overcome barriers for a successful roll-out of new infrastructure concepts throughoutEurope. The proposed configuration and list of components will be based on the targeted functional features of the Terni demonstrator, previously defined, and will be used for the system level modeling and simulation, in Task 4.2 “LVDC virtual microgrid model and simulation”, in WP4.