Children's outdoor play and access to nature are important for their health and development of environmental agency but there is a global decline of green spaces available to them. The aim is to explore the possibilities of creating nature-based outdoor settings for play and learning which benefit children as well as the wildlife and wider ecosystems. A fieldwork on developing nature based play se

The power take-off (PTO) system and control laws for wave energy converters (WECs) are crucial for system performance. Determining optimal PTO parameters based on different sea states is key for formulating control laws, identifying optimal WEC locations, and optimizing wave-to-wire performance. This study focuses on an oscillating water column (OWC) type WEC developed by Waves4Power using a buoy

We investigate alternative strategies against reference bias and postmortem damage in low coverage paleogenomes. Compared to alignment to the linear reference genome, we show that masking known polymorphic sites and graph alignment effectively remove reference bias, but only starting from raw read files. We next study approaches to overcome postmortem damage: trimming, rescaling, and our newly dev

Farmed Animal Sanctuaries, fristeder in Danish, are places devoted to previously farmed and abused animals. This chapter explores the transformative nature of caregiving within sanctuaries, navigating difficult political landscapes characterised by unrecognised care work and legal and hegemonic standards of care shaped by industrial practices. Based on ethnographic material collected at two sanctu

Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel,

This article offers a development of Garfinkel’s (1984) breaching experiments. The discussed breaches are not artificially staged to provoke a reaction; instead, they occur spontaneously in their context—in this case, the design field. Also, the focus shifts from the breaches to the people enacting them, the breachers. Three examples of breachers are compared, enabling a deep understanding of what

Multilevel regression analysis (MLRA) is a statistical technique that is suitable for the study of correlated outcomes within multilevel organisational and other data structures. This chapter provides a short introduction to MLRA, stressing the multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. It helps the readers to recognize the presence of multilevel

Background:cThe risk of coronavirus (COVID-19) can be affected by the presence of certain chronic conditions. It is unknown if individuals with severe hereditary alpha-1-antitrypsin deficiency (AATD) faced an increased risk of severe COVID-19 infection during the pandemic and if COPD in this population affected the risk of severe COVID-19 outcomes. Aim: Our aim was to investigate COVID-19 outcomes

Older adults with intellectual disabilities are not adequately prepared for ageing and show anxiety and uncertainty regarding the future. Therefore, the two-year educational intervention "Good Life in Old Age" was implemented to improve their understanding of ageing and enhance their well-being. This study aimed to explore the meaning of ageing during and after the intervention from the perspectiv

The machine perfusion (MP) of transplantable grafts has emerged as an upcoming field in Cardiothoracic (CT) transplantation during the last decade. This technology carries the potential to assess, preserve, and even recondition thoracic grafts before transplantation, so it is a possible game-changer in the field. This technology field has reached a critical turning point, with a growing number of

Coronavirus disease 2019 (COVID-19) is a contagious disease that turned into a pandemic and led to seven million deaths around the globe. A herculean effort was made by world scientific community to develop various therapies including vaccines against COVID-19 in record time. Use of nanomedicine was one among the different treatment strategies tried against COVID-19. Nanocarriers were effectively

This chapter starts with a review of the theoretical foundation for understanding two-dimensional electronic spectroscopy (2DES) signals in molecular systems. We derive and motivate key properties of 2DES, demonstrating its ability to yield complex information about energy transfer processes and couplings within molecular assemblies, such as photosynthetic antennae. We continue with a discussion e

Interleukin-2 (IL-2) was one of the first cytokines discovered and its central role in T cell function soon led to the notion that the cytokine could specifically activate immune cells to combat cancer cells. Recombinant human IL-2 (recIL-2) belonged to the first anti-cancer immunotherapeutics that received marketing authorization and while it mediated anti-tumor effects in some cancer entities, t

We harness the complex mixing process inside a commercial multi-mode fibre to program high-dimensional linear optical circuits for photonic qudits encoded in transverse space and time-of-arrival, and demonstrate their use for high-dimensional entanglement certification.

Background: Over the past decade, the use of organophosphate insecticides including chlorpyrifos has faced increasing restrictions due to health concerns, leading to a rise in use of pyrethroids. Concerns about neurodevelopmental insults following pyrethroids exposure exist, but few studies have examined the long-term effects of childhood exposure to chlorpyrifos and pyrethroids on IQ. Objective:

Background: Higher circulating levels of tumor necrosis factor (TNF) alpha receptors 1 (TNFR1) and 2 (TNFR2) are associated with increased long-term mortality and impaired kidney function. Aim: To study associations between levels of TNFR1 and TNFR2 and all-cause mortality as well as estimated glomerular filtration rate (eGFR) decline. Population and methods: Patients with chronic kidney disease (

We evaluate deep learning architectures for rat pose estimation using a six-camera system, focusing on ResNet and EfficientNet across various depths and augmentation techniques. Among the configurations tested, ResNet 152 with default augmentation provided the best performance when employing a multi-perspective network approach in the controlled experimental setup. It reached a Root Mean Squared E