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A fundamental issue in the metabolic field is whether it is possible to understand underlying mechanisms that characterize individual variation. Whole-animal performance relies on mitochondrial function as it produces energy for cellular processes. However, our lack of longitudinal measures to evaluate how mitochondrial function can change within and among individuals and with environmental contex
This article assesses the tension between cosmopolitan and communitarian approaches to the ethics of migration by analysing how the Protestant Church in Germany (EKD) has responded to the current so-called migration crisis in Europe. I argue that the statements of the EKD frame people on the move either as migrants or as Muslims. These frames come with competing ethical consequences. Whereas migra
Cu-based ternary catalysts often outperform their binary counterparts in the hydrogenation of CO2 to methanol. Unraveling the underlying synergistic effects among multiple components remains challenging and requires comprehensive operando characterization. In this study, we present a detailed investigation into the synergistic Cu−Zn−Zr interactions in inverse ZnZrOx/Cu catalysts, which show strong
The construction industry is a major contributor to resource consumption and waste generation in the EU, making the transition to circular construction essential. Reuse of building products is an important circular strategy, but large-scale implementation is hindered by limited market maturity and uncertainty regarding product availability. This study aims to investigate the gap between reported a
The diagnostic accuracy of AIDOC-VO, the first commercial artificial intelligence tool for intracranial large-and medium-vessel occlusion (LVO/MeVO) detection on head-and-neck CT angiography (CTA), was evaluated in a multicenter emergency setting. A prospective diagnostic-accuracy study of 3,031 adult CT angiograms (mean age, 67.3 years ± 16.4 [SD]; 1,549 females) acquired March-July 2024 across a
The power systems of drilling rigs have changed considerably since the early days of steam driven machinery. This paper reviews that progression, from mechanical and diesel electric configurations through to modern hybrid and renewable integrated systems, with a focus on the power conversion technologies that enable each stage. Coverage includes the electrical architecture of drilling rig power sy
Finding the optimal subset of individuals to observe in order to obtain the best estimate of the average opinion of a society is a crucial problem in a wide range of applications, including policy-making, strategic business decisions, and the analysis of sociological trends. We consider the opinion vector X to be updated according to a DeGroot opinion dynamical model with stubborn agents, subject
For developing and implementing innovations that improve a firm's environmental performance ('eco-innovation'), external knowledge and technologies, and hence the openness of a firm, are crucial. This paper analyses the factors that drive eco-innovation in firms, drawing special attention to the firm's ability to implement new ways of working within the organisation ('workplace innovation'). Based
PurposeIn the transformation to the circular economy, circular logistics nodes are becoming increasingly important to, for example, match supply and demand, coordinate flows, increase logistics efficiency and customer utility, and reduce environmental impact. The purpose of this study is to expand our theoretical understanding of the circular retail transformation and its implications for circular
The healthcare systems of today are facing large challenges, with increasing amounts of patients and overworked hospital staff. Prostate cancer and Alzheimer’s disease are two of the most prevalent diseases, with incidence numbers expected to rise over the coming decade. Medical imaging plays a central role in current diagnostic procedures for these diseases, enabling the potential use of machine-
Background and Objectives – Limbic-predominant age-related TDP-43 encephalopathy (LATE) is characterized by an amnestic- and limbic-predominant phenotype, which can mimic Alzheimer disease (AD). In a memory clinic cohort, we tested whether clinical criteria for LATE can detect a clinical profile of LATE that is distinct from AD.Methods – In this retrospective examination of a longitudinal memory c
The rise of solo living presents significant social and environmental challenges, particularly in high-income countries like Denmark where nearly half of households are single occupancy. This study explores the social dynamics driving the trend towards living alone through in-depth interviews with 23 individuals living alone in Denmark. Pathways to solo living include urban relocation, aging out o
This research was conducted to determine which areas in the Robat Turk watershed in Iran are sensitive to gully erosion, and to define the relationship between gully erosion and geo-environmental factors by two data mining techniques, namely, Random Forest (RF) and k-Nearest Neighbors (KNN). First, 242 gully locations we determined in field surveys and mapped in ArcGIS software. Then, twelve gully
As some insect groups are declining at alarming rates, accurate and automated insect monitoring is needed to prioritize habitats for conservation. The dual-band entomological Scheimpflug lidar technique is a promising candidate method for real-time insect monitoring: it allows the detection of thousands of flying insects per day at high temporal and spatial resolutions. The signals contain a pleth
How environmental and climate challenges that often evoke strong negative emotions are communicated and responded to is of great importance. These include forest fires, plastic pollution and flooding that can produce fear, sadness and powerlessness. Images are important to this communication, yet how these challenges are captured through visual communication tools and to what outcomes requires fur
Light extinction is widely used to study particles in sprays, soot-forming combustion, and multiphase reactive flows. However, quantitative interpretation of extinction signals remains challenging when particles have a sufficiently large scattering albedo, meaning that incident photons are scattered much more than they are absorbed. This is especially true when experiments involve large apertures
We present PyeLink and SyeLink, two complementary open-source Python tools for running eye-tracking experiments and parsing data from SR Research Ltd. EyeLink eye tracking hardware. PyeLink simplifies experiment creation through plug-and-play support for multiple display backends (Pygame, PsychoPy, Pyglet) while enabling two features not available in existing tools: recording data during calibrati
