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Nutrient availability is of major importance for plant productivity. When estimating long-term sustainability from a nutrient perspective it is therefore interesting to focus on long-term changes in the soil nutrient pools when comparing different forest types. Here, we have highlighted some factors of importance for long term nutrient sustainability (e.g., several forest rotations) and pointed ou
Antiarrhythmic effects of melatonin have been demonstrated ex vivo and in rodent models, but its action in a clinically relevant large mammalian model remains largely unknown. Objectives of the present study were to evaluate electrophysiological and antiarrhythmic effects of melatonin in a porcine model of acute myocardial infarction. Myocardial ischemia was induced by 40-min coronary occlusion in
HIP 41378 d is a long-period planet that has only been observed to transit twice, three years apart, with K2. According to stability considerations and a partial detection of the Rossiter- McLaughlin effect, Pd = 278.36 d has been determined to be the most likely orbital period. We targeted HIP 41378 d with CHEOPS at the predicted transit timing based on Pd = 278.36 d, but the observations show no
This review aims to appraise and summarize the best available evidence from economic evaluations (EEs) of strategies targeting populations prior to a diagnosis of dementia. A comprehensive search was conducted in EMBASE, PubMed, EconLit, Web of Science, Cumulative Index to Nursing and Allied Health (CINAHL), and The NHS Economic Evaluation Database (NHS EED). Publications were dually screened and
In light of the current climate- and biodiversity crises, the political interest in peatlands has increased dramatically as these ecosystems hold the potential to address several urgent societal challenges. In Denmark, a political agreement from 2024 aims to restore 140.000 hectares of agricultural peatlands by 2030. The main goal is to reduce GHG emissions from agriculture and decrease nitrogen r
Plastic pollution has rapidly escalated into a global environmental challenge. This study aims to map the intellectual structure of highly influential plastic pollution research and examine the integration of social dimensions research into its networks. We use a systematic bibliometric analysis of high-impact plastic pollution research to map the field’s intellectual structure. From an initial co
This article examines the role of private defence investment as part of the efforts to define the scope and meaning of EU social sustainability, at a time of increased EU investment interest in the aerospace and defence industry (A&D). One of the central questions posed by private investors, civil society and international legal scholars alike is, in fact, whether investment in the production
Objective: Cushing's disease (CD) is associated with severely impaired quality of life and shortened life expectancy. Little is known about the socioeconomic consequences of CD and their impact on long-term outcome. Methods: This was a nationwide study including 371 patients with CD (76% women), diagnosed between 1991 and 2018, and 4 matched controls per patient from the background population. Cli
Estimations show that approximately US $23 billion is required for Georgia to meet its climate and environmental targets up to 2030. As the current Nationally Determined Contribution reveals, considering 1990 as a base year, the Republic of Georgia plans a 35% decrease in greenhouse gas emissions by 2030. If the country has financial and technical support, commitment to limit emissions may rise as
Water scarcity is one of the major challenges in semi-arid and arid areas. Drivers for water scarcity include climate change, population growth, economic, and agricultural development. This paper presents a framework for assessing water scarcity under the impact of climate, industry, and socio-economic changes in the Qazvin Plain, Iran. A system dynamics model is developed and calibrated using his
A producer-independent, problem-oriented, group-education programme with 2-day meetings on drug treatment in primary health care (PHC) was developed and evaluated. Initially, it was tested on a selected group of general practitioners (district physicians), using a non-exposed group as control. A comprehensive questionnaire was used to test changes in attitudes. There was a significant change in at
Iran’s extraterritorial violence constitutes a structural element of state policy, implemented through a coordinated system of intelligence services, diplomatic platforms, proxy militias, and criminal intermediaries. Rooted in revolutionary doctrine and operationalized by institutions such as the Islamic Revolutionary Guard Corps (IRGC) and its external arm, the Quds Force, this apparatus has enab
The ALICE Collaboration presents a new suite of jet substructure measurements in Pb–Pb and pp collisions at a center-of-mass energy per nucleon pair sNN=5.02 [Figure presented]. These measurements provide access to the internal structure of jets via the momentum and angle of their constituents, probing how the quark–gluon plasma modifies jets, an effect known as jet quenching. Jet grooming additio
Atrial fibrillation (AF) is the most common heart rhythm abnormality and is a leading cause of heart failure and stroke. This large-scale meta-analysis of genome-wide association studies increased the power to detect single-nucleotide variant associations and found more than 350 AF-associated genetic loci. We identified candidate genes related to muscle contractility, cardiac muscle development an
Atrial fibrillation (AF) is a prevalent and morbid abnormality of the heart rhythm with a strong genetic component. Here, we meta-analyzed genome and exome sequencing data from 36 studies that included 52,416 AF cases and 277,762 controls. In burden tests of rare coding variation, we identified novel associations between AF and the genes MYBPC3, LMNA, PKP2, FAM189A2 and KDM5B. We further identifie
Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan ov
