| 1. |
- Brito, Flavio, et al.
(författare)
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A network architecture for scalable end-to-end management of reusable AI-based applications
- 2023
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Ingår i: Proceedings of the 14th International Conference on Network of the Future, NoF 2023. - 9798350338072 ; , s. 98-102
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Konferensbidrag (refereegranskat)abstract
- Artificial intelligence (AI) is a key enabler for future 6G networks. Currently, related architecture works propose AI-based applications and network services that are dedicated to specific tasks (e.g., improving the performance of RAN with AI). These proposed architectures offer a unique way to collect data, process it, and extract features from data for each AI-based application. However, this dedicated approach creates AI-silos that hinder the integration of AI in the networks. In other words, such AI-silos create a set of AI-models and data for AI-based applications that only work within a single dedicated task. This single-task approach limits the end-to-end integration of AI in the networks. In this work, we propose a network architecture to deploy AI-based applications, at different network domains, that prevents AI-silos by offering reusable data and models to ensure scalable deployments. We describe the architecture, provide workflows for the end-to-end management of AI-based applications, and show the viability of the architecture through multiple use cases.
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| 2. |
- Da Silva, Julien, et al.
(författare)
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Real-world performance of the MiniMed™ 670G system in Europe
- 2021
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Ingår i: Diabetes, obesity and metabolism. - : Wiley-Blackwell Publishing Inc.. - 1462-8902 .- 1463-1326. ; 23:8, s. 1942-1949
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Tidskriftsartikel (refereegranskat)abstract
- AIMS: The MiniMed™ 670G system has been available in Europe since October 2018. Herein, the system's real-world performance in individuals with diabetes is evaluated.MATERIALS AND METHODS: Data uploaded October 2018 to July 2020 by individuals living in Europe were aggregated and retrospectively analyzed. The mean Glucose Management Indicator (GMI), percentage of time spent within (TIR), below (TBR) and above (TAR) glycemic ranges, system use and insulin consumed in users with ≥10 days of SG data after initial Auto Mode start were determined. Another analysis based on suboptimally- (GMI >8.0%) and well-controlled (GMI <7.0%) glycemia pre-Auto Mode initiation was also performed.RESULTS: Users (N=14,899) spent a mean of 81.4% of the time in Auto Mode and achieved a mean GMI of 7.0±0.4%, TIR of 72.0±9.7%, TBR <3.9 mmol/L of 2.4±2.1% and TAR >10 mmol/L of 25.7±10%, after initiating Auto Mode. When compared to pre-Auto Mode initiation, GMI reduced by 0.3±0.4% and TIR increased by 9.6±9.9% (p<0.0001 for both). Significantly improved glycemic control was observed irrespectively of pre-Auto Mode GMI level <7.0% or >8.0%. While total daily dose of insulin increased for both groups, a greater increase was observed in the latter: an increase due primarily to increased basal insulin delivery. In contrast, basal insulin decreased slightly in well-controlled users.CONCLUSIONS: Most MiniMed™ 670G system users in Europe achieved TIR >70% and GMI <7% while minimizing hypoglycemia, in a real-world environment. These international consensus-met outcomes were enabled by automated insulin delivery meeting real-time insulin requirements adapted to each individual user.
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| 3. |
- Zamora, Juan Carlos, et al.
(författare)
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Considerations and consequences of allowing DNA sequence data as types of fungal taxa
- 2018
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Ingår i: IMA Fungus. - : INT MYCOLOGICAL ASSOC. - 2210-6340 .- 2210-6359. ; 9:1, s. 167-185
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Tidskriftsartikel (refereegranskat)abstract
- Nomenclatural type definitions are one of the most important concepts in biological nomenclature. Being physical objects that can be re-studied by other researchers, types permanently link taxonomy (an artificial agreement to classify biological diversity) with nomenclature (an artificial agreement to name biological diversity). Two proposals to amend the International Code of Nomenclature for algae, fungi, and plants (ICN), allowing DNA sequences alone (of any region and extent) to serve as types of taxon names for voucherless fungi (mainly putative taxa from environmental DNA sequences), have been submitted to be voted on at the 11th International Mycological Congress (Puerto Rico, July 2018). We consider various genetic processes affecting the distribution of alleles among taxa and find that alleles may not consistently and uniquely represent the species within which they are contained. Should the proposals be accepted, the meaning of nomenclatural types would change in a fundamental way from physical objects as sources of data to the data themselves. Such changes are conducive to irreproducible science, the potential typification on artefactual data, and massive creation of names with low information content, ultimately causing nomenclatural instability and unnecessary work for future researchers that would stall future explorations of fungal diversity. We conclude that the acceptance of DNA sequences alone as types of names of taxa, under the terms used in the current proposals, is unnecessary and would not solve the problem of naming putative taxa known only from DNA sequences in a scientifically defensible way. As an alternative, we highlight the use of formulas for naming putative taxa (candidate taxa) that do not require any modification of the ICN.
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