Conclusions and Next Steps Clause Samples
The "Conclusions and Next Steps" clause summarizes the outcomes of discussions or negotiations and outlines the agreed-upon actions to be taken moving forward. Typically, this section recaps key decisions, highlights any unresolved issues, and assigns responsibilities or deadlines for follow-up tasks. Its core practical function is to ensure all parties have a clear understanding of what has been decided and what actions are required, thereby promoting accountability and facilitating progress.
Conclusions and Next Steps. This document provides a thorough review of the state of the art in trust modelling, covering both human and machine aspects as well as trustworthiness by design approaches. We have described the trust aspects of 4G networks through defining the actors and business models and their consequences for trust. We note that there is no formal specification of trust in 4G networks to report on or build upon. Looking to the future we have documented the new actors and business models expected in 5G networks including the consequences of virtualisation, new domains and tighter integration of satellite and HAPS systems. This is followed by an analysis of the majority of the 5G use cases defined in 5G-ENSURE D2.1 where in each case the entities and trust issues are enumerated. Taking all this into account we have discussed the role of privacy in 5G and propose an approach to modelling trust in 5G networks, extending the state of the art. This “draft” trust model document contains a large amount of documentation and analysis. The 5G use case analysis will be completed and the entirety will then be combined with further information from various sources to analyse the architecture and potential risks in more detail: the CAPEC database [Mitre-3] of known attacks to ensure that a broad range of known malicious attacks is modelled; deliverable D2.4 “Security architecture (draft)” and 5G architecture documents from elsewhere for details on generic 5G stakeholder roles and technology asset types once they are determined. The results of the analysis will then be captured in a machine understandable form, and algorithms defined for quantification of trust (and trustworthiness) going beyond the simple ones proposed in this report. All of these results will then feed into the development of security architecture in WP2, also trust enablers in WP3, as well as the specification of the full 5G-ENSURE trust model in Deliverable D2.5 which will include an analysis of the 5G-ENSURE trust enablers.
Conclusions and Next Steps. 33 PROJECT SUMMARY
Conclusions and Next Steps. ▇▇▇▇▇▇▇▇ from the analysis of the innovation background and the supply-chain descriptions in this document, in the next period the Stakeholder Analysis will start and a through validation phase will be completed with the industrial partners within the consortium, to use this market framework for assessing the potential of the project and produce a complete technology and business study, via a knowledge-based intelligence.
Conclusions and Next Steps. This document sets the framework for best disseminating and exploiting the ESCAPE results to the defined targeted audience. Ensuring a consistent dissemination and exploitation plan to the stakeholders as well as among users is of foremost importance. Collaboration among project partners for sharing of result and building on dynamicity and adaptability are key words for successful project dissemination and exploitation.
Conclusions and Next Steps. The established processes and lexicons are acceptable for use of evaluating soymilk and tofu. Moving forward, the GFTC will be incorporating the above suggestions from the Japanese collaborators into their soymilk and tofu production to refine their techniques. ▇▇▇▇▇▇▇ ▇.▇. and ▇▇▇▇ ▇.▇. 1996. Aroma and Flavor Lexicon for Sensory Evaluation. ASTM Data Series Publication DS 66.
Conclusions and Next Steps. 45 ANNEX A. GLOSSARY 52 ANNEX B. SCALABILITY TEST PLAN 58 ANNEX C. DETAILED TEST RESULTS 64 ANNEX D. SITE INFRASTRUCTURE DESCRIPTION 77 ANNEX E. SCALABLE METADATA ARCHITECTURES 82 LIST OF FIGURES LIST OF TABLES EXECUTIVE SUMMARY
1.1. In this we present the work performed in the first 12 months of task 7.
1.1.1 of Work Package 7. EUDAT as a project is to deliver a common data infrastructure so that users from the communities involved in this project, and others that may join later, will be able to share their data with other researchers not only in their field but make it accessible for cross disciplinary research. As data volumes increase rapidly across many communities it is becoming increasingly difficulty for individual data centres to scale up to the levels required. Storing data at many different centres but that introduces its own problems since data centres may have different underlying storage technologies which provide different interfaces. To allow scientists to access data at geographically distributed sites means providing standard interfaces such that the user can access data in a common way regardless of the physical location of the file. This is the role of a data federation such as that proposed by EUDAT. However, it is essential that the infrastructure delivered by this project is scalable beyond the current needs of the existing communities, but must be able to meet their needs beyond the lifetime of this project. It must also be easily incorporated into new data centres should they wish to join EUDAT; while there are several large data storage facilities in this project, there are many others that could join and provide resources to the federation and a simple set up is key to adoption by these already overworked sites. Within the communities involved in WP7, a number of other key requirements have been identified. These primarily relate to the requirements to provide an infrastructure which allows those users to ensure efficient analysis on High Performance Computing nodes. In order to make efficient use of available network bandwidths, the ability to perform subsetting or subsampling of large data sets at the data centre before delivering for analysis is seen as highly desirable.
7.1.1.1 we look at the scalability of this, and other, technologies to see whether it meets the requirements identified by the user communities in this work package.
Conclusions and Next Steps. Six biomarkers soymilk and three biomarkers for tofu have been discovered. Compounds found in both the raw soybean seed and the end products can now be used to screen Sevita International’s germplasm to determine if there are any particular varieties that can be identified for end user testing and future sensory evaluation studies.
Conclusions and Next Steps. The milestone M4.3 was about a specification for describing semantic artefacts based on the MOD vocabulary. For this deliverable, we have refined the MOD specification, and produced an MOD-based Application Programming Interface for semantic artefact catalogues. The main outcomes from this deliverable are:
i) specifications of a new version of the MOD vocabulary,
ii) an Application Programming Interface for semantic artefact catalogues. Adoption of the MOD-API for Semantic Artefact Catalogues13 will facilitate interoperability and unified access to their content, enabling seamless querying and use by stakeholders independent of domain e.g. possibly federated search. It will also allow for easier development of federated search services. The API will be adopted by FAIR-IMPACT T4.2’s use case SA-catalogues, at least AgroPortal,14 EcoPortal,15 EarthPortal,16 while we will encourage others such as LOV17 to adopt it too, and it is publicly available for other catalogues to implement. The implementation of this API will also be the topic of an upcoming FAIR-IMPACT Open Call. 13 ▇▇▇▇▇://▇▇▇▇▇▇.▇▇▇/FAIR-IMPACT/MOD-API 14 ▇▇▇▇▇://▇▇▇▇▇▇▇▇▇▇.▇▇▇▇▇.▇▇ 15 ▇▇▇▇▇://▇▇▇▇▇▇▇▇▇.▇▇▇▇▇▇▇▇▇.▇▇ 16 ▇▇▇▇▇://▇▇▇▇▇▇▇▇▇▇▇.▇▇ 17 ▇▇▇▇▇://▇▇▇.▇▇▇▇▇▇▇▇▇▇.▇▇/dataset/lov [1] ▇. ▇▇▇▇▇, ▇. ▇▇▇▇▇▇, ▇. ▇▇▇▇▇▇, and ▇. ▇▇▇▇▇▇▇, ‘New Generation Metadata Vocabulary for Ontology Description and Publication’, in Metadata and Semantic Research, vol. 755, E. Garoufallou, ▇. ▇▇▇▇▇▇, ▇. ▇▇▇▇▇▇, and D. ▇▇▇▇▇▇▇▇▇▇, Eds., Cham: Springer International Publishing, 2017, pp. 173–185. doi: 10.1007/978-3-319-70863-8_17. [2] A. N. ▇▇▇▇▇▇▇▇ ▇▇▇▇▇▇▇ and ▇. ▇▇▇▇▇▇, ‘FAIR-IMPACT M4.3 - Specification of semantic artefact description’, Zenodo, Feb. 2024. doi: 10.5281/zenodo.10725304. [3] ▇. ▇▇▇▇▇▇, ▇. ▇▇▇▇▇▇-▇▇▇▇▇▇▇▇, ▇. ▇▇▇▇▇, ▇. ▇▇▇▇▇▇▇▇-▇▇▇▇▇▇▇, ▇. le Franc, and ▇. ▇▇▇▇▇▇▇, ‘M5.3 Semantic artefact assessment methodology’, Aug. 2023, doi: 10.5281/▇▇▇▇▇▇.8305173. [4] ▇. ▇▇▇▇▇▇▇, ▇. ▇▇▇▇, ‘M4.4 - Review and analysis of Semantic Artefact Catalogues for serving FAIR semantic artefacts in EOSC’, ▇▇▇▇▇▇, Jul 2024, doi: 10.5281/zenodo.12799796
Conclusions and Next Steps. The report intends to offer a basic background with regards to the migration of public services into the cloud, with the purpose to make this information comprehensive to public servants and stakeholders with non IT experience. Therefore, it provides the reader with some introductory information on cloud computing and how this is relevant to public authorities. What is more, based on the STORM experience, it reveals a number of issues that municipalities could face during the migration process and makes recommendations on how these could be addressed. As a next step, we intend to enrich the list of issues/problems connected to the migration process, improve and supplement the recommendations for potential solutions and, finally, organise this information in an easy to read way, formulating a usefull roadmap for managers and public servants. Of course, the literature on best practices will also be updated. References [1] Accenture (2015) A new era for European public services: Cloud computing changes the game. [2] Accenture and WSP (2010) ‘Cloud Computing and Sustainability: The Environmental Benefits of Moving to the Cloud’. [3] Aditi Technologies (2015) Building “Smart” Cities on the Cloud, Available online at: ▇▇▇▇▇://▇▇▇▇.▇▇▇▇▇.▇▇▇/cloud/building-smart-cities-cloud/ [4] Apptis (2010) An Introduction to Cloud Computing in the Federal Public Sector, White Paper [5] Australian Government (2011) Cloud Computing Strategic Direction Paper: Opportunities and applicability for use by the Australian Government, Department of Finance and Deregulation, April 2011 [6] Australian Government (2013) The National Cloud Computing Strategy, Department of Broadband, Communications and the Digital Economy, May 2013 [7] Australian Government (2014) Australian Government Cloud Computing Policy: Smarter ICT Investment, Department of Finance, October 2014 [8] ▇▇▇▇▇▇▇, V., ▇▇▇▇▇▇, B., ▇▇▇▇▇▇▇▇▇▇▇, T., ▇▇▇▇▇▇▇▇, J., Giarracca, F., Good, B., Poel, M., Ramahandry, T. and Van Til, J. (2013a) Analysis of cloud best practices and pilots for the public sector, Final Report, A study prepared for the European Commission, DG Communications Networks, Content & Technology by Digiworld by IDATE and Technopolis group [9] ▇▇▇▇▇▇▇, V., ▇▇▇▇▇▇, B., ▇▇▇▇▇▇▇▇▇▇▇, T., ▇▇▇▇▇▇▇▇, J., Giarracca, F., Good, B., Poel, M., Ramahandry, T. and Van Til, J. (2013b) Analysis of cloud best practices and pilots for the public sector, Annex to the Final Report: Country profiles, A study prepared for the European...
Conclusions and Next Steps. Biochar use in a conventional agricultural operation in coastal San Mateo County was successfully demonstrated through this field trial. Biochar had a neutral or negative effect on crop yield, but field trial results pointed to potential soil health benefits. Consistent with other studies of agricultural biochar use, multi-year soil health benefits related to nutrient retention and availability, water holding capacity, root penetration and soil porosity were seen through SOM where soil conditions were poor or depleted. Although these soil health benefits did not translate into increased crop yields during the three growing seasons of the field trial, monitoring over a longer timeframe may have been needed to see these effects on plant growth. Furthermore, biochar-only or biochar-compost soil amendments may have had beneficial effects on soil through other mechanisms (e.g., increasing soil pH and/or fertility) that could have been masked or overwhelmed by existing farming practices such lime soil amendment application and multiple fertilizer applications. Direct benefits to nitrate leaching and carbon sequestration could not be confirmed through the field trial, but the analysis highlighted complexities and challenges especially within a demonstration field trial where a variety of parameters were analyzed. To further understand the impacts of biochar on nitrate leaching and carbon sequestration, more focused and long-term studies are suggested using a specific type of biochar, while isolating key variables and using monitoring methods designed to measure effects directly. Cost and inconvenience to the farmer, and insufficient access to biochar supply were considered the major barriers to using biochar as a soil amendment on a local conventional farm at the levels tested here. A scaled-back application of biochar at 1-2 tons/acre could potentially be feasible, particularly if this application could be seamlessly integrated into, or replace, an existing farming practice such as application of a lime soil amendment, or pre-planting fertilization. This approach could allow a conventional farm to apply biochar more frequently – possibly on an annual basis. Furthermore, if this biochar soil amendment was an effective substitute for an existing farming practice, costs to the farmer might be minimal even without an improvement to crop yields. Overall, results highlight the value of field-testing biochar and biochar-compost soil amendments at lower application rate...