Conservation biological control in agricultural landscapes aims to promote natural enemy populations to mitigate short and long-term pest damage on crops. However, natural enemy populations in agricultural landscapes typically rely on crop pests and non-pest prey populations resulting in complex trait- dependent ecological interactions. Such communities, of pests, non-pest prey, and natural enemie

In 1524, Petrus Apianus published two closely related works—one the Latin Cosmographicus liber, aimed at an educated audience of international readers, and the other, Ein kunstlich Instrument, a shorter, more practical book for those who could read German but had no Latin. Both books nevertheless make use of most of the same instruments, including Apianus’ early volvelles. Most of these instrument

The Himalayan river basins offer great potential for hydropower development, but they are also vulnerable to various hazards such as debris flows, landslides, flash floods, glacial lake outburst floods (GLOFs), and landslide lake outburst floods (LLOFs). Despite the regional and global significance of these hazards, there is a lack of information and data on different aspects, including meteorolog

Radioligand therapy with [177Lu]Lu-PSMA-617 can be used to prolong life and reduce tumor burden in terminally ill castration resistant prostate cancer patients. Still, accumulation in healthy tissue limits the activity that can be administered. Therefore, fractionated therapy is used to lower toxicity. However, there might be a need to reduce toxicity even further with e.g. radioprotectors. The ai

BACKGROUND: Two or more autoantibodies against either insulin (IAA), glutamic acid decarboxylase (GADA), islet antigen-2 (IA-2A) or zinc transporter 8 (ZnT8A) denote stage 1 (normoglycemia) or stage 2 (dysglycemia) type 1 diabetes prior to stage 3 type 1 diabetes. Automated multiplex Antibody Detection by Agglutination-PCR (ADAP) assays in two laboratories were compared to single plex radiobinding

PDE5 inhibitors was reported to play a protective role in both regulating lipid metabolism and reducing heart failure (HF). This study aimed to clarify the effectiveness of PDE5 inhibitors against hyperlipidemia-related HF by combining evidence from population-based study and animal models. The nationwide cohort study found that post-diagnostic use of PDE5 inhibitors was associated with a signific

Om Giorgiana Masi och Benno Ohnesorg

Testing autonomous driving systems for safety and reliability is essential, yet complex. A primary challenge is identifying relevant test scenarios, especially the critical ones that may expose hazards or harm to autonomous vehicles and other road users. Although numerous approaches and tools for critical scenario identification are proposed, the industry practices for selection, implementation, a

BACKGROUND: To strengthen palliative care for children in the Nordic countries, an updated status of current needs, resources, clinical services, education, and research is necessary to align and consolidate future research. A Nordic research collaboration initiative for children with palliative care needs was assembled in 2023. Building on this initiative, this paper presents an overview of pedia

The novel Coronavirus disease 2019 (COVID-19) presents a major threat to public health but can be prevented by safe and effective COVID-19 vaccines. Vaccine acceptance among healthcare workers (HCWs) is essential to promote uptake. This study, aimed to determine the COVID-19 vaccination uptake and hesitancy and its associated factors among HCWs in Tanzania. We employed a convergent-parallel mixed-

This cross-sectional study investigates the shifts in anxiety levels among Swedish employees throughout the Covid-19 pandemic, with data gathered in 2016, 2018, and 2020. Work-related anxiety was assessed through two metrics: General Work Anxiety (WA) and Work Performance Anxiety (WPA). Overall, there was a decline in both average WA and WPA over the five-year period. However, this trend did not a

The lasso is a popular method to induce shrinkage and sparsity in the solution vector (coefficients) of regression problems, particularly when there are many predictors relative to the number of observations. Solving the lasso in this high-dimensional setting can, however, be computationally demanding. Fortunately, this demand can be alleviated via the use of screening rules that discard predictor