Dissemination, Future Research and Education:

This booklet is one of three final documentations of the results of the COST-Action TU 1403 ‘ADAPTIVE FACADE NETWORK’ to be published next to the proceedings of the Final COST Conference ‘FACADE 2018 – ADAPTIVE!’ and a Special Issue of the Journal of Façade Design & Engineering (JFDE). While the proceedings and the journal present current scientific research papers selected through a traditional peer review process, these three final documentations have another focus and objective. These three documentations will share a more holistic and comparative view to the scientific and educational framework of this COST-Action on adaptive facades with the objective to generate an overview and a summary – different from the more specific approach of the proceedings and connecting to the first publication that was presenting the participating institutions. The three titles are the following and are connected to the deliverables of the responsible Working Groups (WG): Booklet 3.1 Case Studies (WG1) Booklet 3.2 Building Performance Simulation and Characterisation of Adaptive Facades (WG2) Booklet 3.3 Dissemination, Future Research and Education (WG4) Booklet 3.1 concentrates on the definition and classification of adaptive facades by describing the state of the art of real-world and research projects and by providing a database to be published on COST TU 1403 website (http://tu1403.eu/). Booklet 3.2 focusses on comparing simulation and testing methods, tools and facilities. And finally, Booklet 3.3 documents the interdisciplinary, horizontal and vertical networking and communication between the different stakeholders of the COST-Action organised through Short Term Scientific Missions (STSM), Training Schools and support sessions for Early Stage Researchers (ESR) / Early Career Investigators (ECI), industry workshops, and related surveys as specific means of dissemination to connect research and education. All three booklets show the diversity of approaches to the topic of adaptive facades coming from the different participants and stakeholders, such as: architecture and design, engineering and simulation, operation and management, industry and fabrication and from education and research. The tasks and deliverables of Working Group 4 were organized and supported by the following group members and their functions: – Thomas Henriksen, Denmark ESR/ECI – Ulrich Knaack, The Netherlands Chair (2015-16) – Thaleia Konstantinou, The Netherlands ESR/ECI – Christian Louter, The Netherlands Vice-Chair, STSM Coordinator – Andreas Luible, Switzerland Website, Meetings – David Metcalfe, United Kingdom Training Schools – Uta Pottgiesser, Germany Chair (2017-18) As editors and Chairs, we would like to thank the Working Group members and authors from other Working Groups for their significant and comprehensive contributions to this booklet. Moreover, we sincerely thank Ashal Tyurkay for her great assistance during the whole editing and layout process. We also want to thank COST (European Cooperation in Science and Technology)

Data from: Oxidative status and fitness components in the Seychelles warbler

Oxidative damage, caused by reactive oxygen species during aerobic respiration, is thought to be an important mediator of life-history trade-offs. To mitigate oxidative damage, antioxidant defence mechanisms are deployed, often at the cost of resource allocation to other body functions. Both reduced resource allocation to body functions and direct oxidative damage may decrease individual fitness, through reducing survival and/or reproductive output. The oxidative costs of reproduction have gained much attention recently, but few studies have investigated the long-term consequences of oxidative damage on survival and (future) reproductive output under natural conditions. Using a wild population of the cooperatively breeding Seychelles warbler (Acrocephalus sechellensis), we tested the prediction that high levels of reactive oxygen species, or high antioxidant investments to avoid oxidative damage, have fitness consequences because they reduce survival and/or reproductive output. We found that individuals with higher circulating non-enzymatic antioxidant capacity had a lower probability of surviving until the next year. However, neither current reproductive output, nor future reproductive output in the surviving individuals, was associated with circulating non-enzymatic antioxidant capacity or oxidative damage. The negative relationship between antioxidant capacity and survival that we observed concurs with the findings of an extensive comparative study on birds, however the mechanisms underlying this association remain to be resolved

An EEG-based sleep index and supervised machine learning as a suitable tool for automated sleep classification in children

STUDY OBJECTIVES: Although sleep is frequently disrupted in the pediatric intensive care unit (PICU), it's currently not possible to perform real-time sleep monitoring at the bedside. In this study, spectral band powers of electroencephalography (EEG) data are used to derive a simple index for sleep classification.METHODS: Retrospective study at Erasmus MC Sophia Children's Hospital, using hospital-based polysomnography (PSG) recordings obtained in non-critically ill children between 2017 and 2021. Six age categories were defined: 6-12 months, 1-3 years, 3-5 years, 5-9 years, 9-13 years and 13-18 years.UNLABELLED: Candidate index measures were derived by calculating spectral band powers in different frequent frequency bands of smoothed EEG. With the best performing index, sleep classification models were developed for two, three and four states via decision tree and five-fold nested-cross validation. Model performance was assessed across age categories and EEG channels.RESULTS: In total 90 patients with PSG were included, with a mean (standard deviation) recording length of 10.3 (1.1) hours. The best performance was obtained with the gamma to delta spectral power ratio (gamma:delta-ratio) of the F4-A1 and F3-A1 channels with smoothing. Balanced accuracy was 0.88, 0.74 and 0.57 for two, three and four state classification. Across age categories, balanced accuracy ranged between 0.83 - 0.92 and 0.72 - 0.77 for two and three state classification, respectively.CONCLUSIONS: We propose an interpretable and generalizable sleep index derived from single-channel-EEG for automated sleep monitoring at the bedside in non-critically ill children aged 6 months to 18 years, with good performance for two and three state classification.</p