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In recent years, stochastic partial differential equations (SPDEs) have become a well-studied field in mathematics. With their increase in popularity, it becomes important to efficiently approximate their solutions. Thus, our goal is a contribution towards the development of efficient and practical time-stepping methods for SPDEs. Operator splitting schemes provide powerful, efficient, and flexibl

Reactive oxygen species (ROS) are considered to be an indicator of particle-induced toxicity. We used a novel instrument, called Particle Into Nitroxide Quencher (PINQ), for real-time quantification of ROS for assessment of indoor particle sources. Of the sources tested, cigarette smoke was found to contain the highest ROS concentration, several times higher than incense smoke and secondary organi

Rodent models are important research tools for studying the pathophysiology of traumatic brain injury (TBI) and developing new therapeutic interventions for this devastating neurological disorder. However, the failure rate for the translation of drugs from animal testing to human treatments for TBI is 100%. While there are several potential explanations for this, previous clinical trials have reli

The building and construction sector is responsible for a significant portion of embodied and energy related carbon emissions. Efforts to reduce this are reflected in the need for improved sustainability in the design, construction, and operation of structures such as buildings and bridges. This issue has become more prominent in recent decades due to the ongoing climate crisis. A historical revie

Objective: This study examined the prevalence and long-term survival of atrial fibrillation (AF) in the older population. Methods: Data was recruited from the longitudinal SNAC study from baseline (2001–2004) for up to 10 years. Results: The population comprised 6,904 persons (59% women) (mean age 73.9 years). The prevalence of AF was 4.9% and increased with age. The hazard ratio (HR) for death in

This paper presents a method for evaluating the potential for injury in any traffic scenario involving road user interactions based on trajectory data from a few hours of data of typical traffic conditions. The basic idea was to evaluate to what extent interactions at a location are limited in speed, direction, and whether the interactions happen at a safe speed. Specifically, the method works by

Recently approved anti-amyloid immunotherapies for Alzheimer's disease (AD) require evidence of amyloid-β pathology from positron emission tomography (PET) or cerebrospinal fluid (CSF) before initiating treatment. Blood-based biomarkers promise to reduce the need for PET or CSF testing; however, their interpretation at the individual level and the circumstances requiring confirmatory testing are p

High levels of economic inequality are widely viewed as a key challenge facing bothadvanced industrial and developing economies. Country-level studies have consistentlyshown a negative link between income inequality and trust in others. This is typicallyattributed to greater social distance within unequal societies. Do we observe similarrelationships within organisations? This is an important ques

Management scholarship is beginning to grapple with the growing popularity of machine learning (ML) as an analytical tool. While quantitative research in our discipline remains heavily influenced by positivist thinking and statistical modelling underpinned by null hypothesis significance testing, ML is increasingly used to solve technical, computationally demanding problems. In this paper, we argu

At the end of September, David Malpass, the president of the World Bank, was heavily criticized after failing to acknowledge anthropogenic climate change [henceforth called climate change (1)]. Although he later apologized for and revised his remarks, they sparked a renewed public debate on the existence of climate changedeniers and their impact on our transition toward a more sustainable future (

Decarbonization policies require public support to be implemented and to remain in legislation. Examinations of public support for climate policies tend to focus on asmall number of policy instruments and/or use hypothetical instead of real policy proposals. Here, we address these criticisms by examining public support acrossfour distinct policy instruments– command-and-control, market-based, info

Understanding predictors of climate policy support is important for tackling climate change. Previous research demonstrated that policy support is partially driven by cultural worldviews. Yet, treating policies as a homogeneous concept, this literature neglected the existence of different policy types. Making this distinction is important because each type implies a distinct solution to the same p

Die Studie beruht auf einer repräsentativen Beschäftigtenumfrage. Die Erhebung dokumentiert erstmals mit einem Fokus auf Beschäftigte, wie diese über den Klimawandel unddie anstehende sozial-ökologische Transformation denken. Sie zeigt, dass sich Beschäftigte in der Tendenz gut informiert fühlen und zugleich sehr besorgt über den Klimawandel sind. Viele sehen eine hohe Dringlichkeit für Maßnahmen

Anhand einer repräsentativen Umfrage unter Beschäftigten analysiert das vorliegende Paper die Zustimmung zu energiepolitischen Maßnahmen und die Wahrnehmung sozioökonomischer Folgen entlang politischer Parteipräferenzen. Zwischen den parteipolitischen Linien „Mitte links“ (SPD, Grüne, Die Linke), „Mitte rechts“ (CDU/CSU, FDP) und „populistisch“ (BSW, AfD) finden sich deutliche Unterschiede, aber ü