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Atmospheric dispersion represents a relatively overlooked problem in connection with the ultimate quality of ELT images corrected by adaptive optics (AO). The aim of this paper is to evaluate the contribution from atmospheric dispersion to the background level of the point-spread function (PSF). Since proper suppression of this level is important for the prospects for direct exo-planet observation

A selective and sensitive method is presented for biogenic amines (BA) determination. The novelty consists in coupling a highly selective electrochemical biosensor to a weak acid cation-exchange column for online detection of amines. A bienzyme design, based on a recently isolated amine oxidase from grass pea and commercial horseradish peroxidase, was used for the biosensor construction. The enzym

Background: We aimed to study the long-term effect of smoking on coronary atherosclerosis progression at the segmental level. Methods: Angiographic data (1989-2017) on current, former, and nonsmokers were collected from the Swedish Coronary Angiography and Angioplasty Registry. The Western Denmark Heart Registry was used to validate the results. Patients with clinically indicated angiography with

Background: Multiple clinical practice guidelines and head computed tomography decision rules exist for emergency department (ED) triage of children with traumatic brain injury (TBI). These vary in structure, aim, target cohort, and outcomes, yet are used clinically in similar populations. We compared important clinical and practical characteristics of all major guidelines in a large, real-world p

Background: Mapping social and geographical disparities in health outcomes helps to identify vulnerable groups that should be targeted for intervention. This study aims to assess the disparities in cardiometabolic multimorbidity, the presence of at least two cardiometabolic diseases (CMD), including type 2 diabetes, heart disease, and stroke, among middle-aged adults across socio-geographical inte

Purpose: Preeclampsia is a serious pregnancy complication without curative treatment. The central nervous system (CNS) is affected in severe cases of preeclampsia. Until now, no biomarker or other predictive method has been established for predicting severe CNS injury, including the development of eclampsia and/or long-term complications. In this systematic review, we aimed to investigate the asso

Precise statistics about crop types and productions can support establishing more efficient decisions in the food security framework. The applicability of remote sensing imagery has been confirmed worldwide in crop-related studies. In this chapter, time series Sentinel-1 and Sentinel-2 images were integrated, along with crop inventory, to generate crop-type maps in Imperial County, CA, USA, within

Groundwater in most parts of the world is an important source of agricultural water supply for food production. Soil salinization, however, threatens groundwater quality and may cause irreparable damage to agricultural land. A key to tackling this threat is to analyze the link between agricultural crop water requirements and groundwater quality. This study aimed to investigate salinity effects on

Soil erosion poses a significant environmental challenge in Dehradun due to its complex, steep terrain, heavy rainfall, and rapid urbanization. This study employed a Google Earth Engine-based approach to assess the average soil loss annually using the Revised Universal Soil Loss Equation (RUSLE). The analysis used various factors, including rainfall-runoff erosivity (R), soil erodibility (K), slop

Objectives: Both depression and suicidal behaviour have been associated with neuroinflammation. Galectin-3 (Gal-3), a protein involved in microglial activation, has been linked to pro-inflammatory cytokines and the severity of depressive symptoms. The extent to which peripheral levels of Gal-3 reflect neuroinflammation is unknown, as is the relationship between Gal-3 and suicidality. Methods: Bloo

The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks, sacrificing its explainability. In this work, we explore the potential of self-explaining neural networks (SENN) for survival analysis. We propose a new locally explainable

Objectives Critically ill COVID-19 patients admitted to the intensive care unit (ICU) are at an increased risk of acquiring bacterial bloodstream infections (BSI). We aimed to describe patient characteristics, risk factors, and the microbiological spectrum in blood cultures and evaluate the impact of ICU-acquired BSI on outcomes in a Nordic setting. Methods A prospective multicenter cohort study w

This study aims to explore how family therapists in social services perceive and describe quality in their work with family support, and how their experience and knowledge contribute to the quality of their practical work. The study was conducted through qualitative, semi-structured interviews with family therapists working within social services. The results reveal that professionals define quali

Hydroxyl radicals (HO•), produced through reactions between H2O2 and iron oxides, drive biogeochemical transformations, mediate organism toxicity, and facilitate advanced oxidation processes. The effectiveness of these processes depends on the spatial proximity between HO• generation and target substrates. Consequently, the oxidation mechanisms should be governed by interfacial interactions among

Accurate and continuous monitoring of inland surface‌ water dynamics is vital for sustainable water resource management, climate impact assessment, and ecological planning. This study introduces a machine learning-based remote sensing-based data-fusion framework that improves Sentinel-3 radar altimeter (SRAL) estimations of water surface elevation (WSE) by integrating ERA5 reanalysis climate varia