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Most clinical laboratories measure total magnesium (tMg) which includes both the ionized (iMg) and bound forms. Only the ionized component is biologically active, and it may be influenced by acid-base status, plasma protein concentrations and electrolyte disturbances, potentially altering how well tMg reflects iMg. This multicenter observational study evaluated the relationship between tMg and iMg
Studies showing that large-scale public health interventions in early life have lastingconsequences are still scarce and rarely disclose the mechanisms. In 1931–1946, the Swedishstate reformed the childbirth institutional system that led to the openings of the new maternitywards and to the gradual decline in home deliveries assisted by midwives. Maternity wardsoffered improved conditions for a mot
Introduction: Survivors of critical illness commonly experience physical, cognitive, and psychological impairments. Early rehabilitation may mitigate these impairments; however, how rehabilitation practices are perceived and implemented by healthcare professionals in intensive care unit (ICU) remains insufficiently described. This study aimed to describe healthcare professionals' perceptions of re
Aims Social anxiety disorder (SAD) is one of the most common anxiety disorders and is associated with significant impairment and societal costs. The association between SAD and mortality remains poorly understood, partly because in epidemiological research it is rarely studied independently from other anxiety disorders. In this population-based matched cohort and sibling control study, we estimate
Introduction: Cervical cancer represents a significant public health challenge worldwide. To improve screening accessibility and participation, we implemented vaginal human papilloma virus (HPV) self-sampling as part of an organized cervical cancer prevention strategy. This study aimed to evaluate the implementation and outcomes of the self-sampling program in a real-world setting. Material and Me
Accurate prediction of groundwater levels (GWL) is essential for effective and sustainable water resource management, particularly in arid and semiarid regions where excessive extraction and climate change significantly accelerate aquifer depletion. The nonstationary characteristics of groundwater data pose significant challenges to the performance and reliability of conventional machine learning
Ambivalence is widely regarded as a source of ontological insecurity and anxiety due to its close association with uncertainty, undecidability, and indeterminacy. While ontological security studies (OSS) has usefully engaged with the concept of ambivalence as an epistemic phenomenon and its manifestations in international politics such as ‘strangers’, almost no attention has been paid to ambivalen
Probing the solid/liquid interface of batteries operando/in situ with ambient pressure X-ray photoelectron spectroscopy (APXPS) using the dip-and-pull method remains a challenging endeavor due to spatial and temporal variations in liquid layer shape, thickness, and composition. Monitoring the electrochemical and topographical nature of the liquid edge where the interface is accessed is essential t
Real catalysts consisting of nanoparticles host many nanofacets. Each nanofacet changes its structure and function in response to its local environment but is also affected by neighboring nanofacets. Time-resolved operando experiments close to realistic conditions at polycrystals mimicking real catalyst particles are unfortunately challenging but could be highly rewarding. Here, we demonstrate how
How do actors overlook uncomfortable information? We add to the understanding of how potential problems can be ignored over long periods, in spite of recurrent warnings. Ignoring then becomes a dynamic process of responding to evolving ignoring ‘threats’ or triggers by combining knowledge-seeking and knowledge avoidance in ways that must be continuously legitimated, both in one’s own eyes and in t
A high-resolution integrated bio-chemostratigraphic framework is established for the upper Tremadocian to lower Floian (Lower Ordovician) succession of the North China Block, based on new conodont and carbon isotope (δ13Ccarb) data from the Jiguanshan and Wudingshan sections in Liaoning Province, northeastern China. Thirty conodont species of 19 genera were identified from the two sections. Based
Migration is stirring up controversy across Europe. Politicians and pundits point to clashes that flare up--or so the story goes--when people of different religious and nonreligious ways of life come together. This book challenges that story. Setting an experimental and explorative agenda, it brings together activist and academic voices affiliated with A World of Neighbours, a multi-faith network
Most part of Iran is arid and semi-arid; thus in most parts of the region, groundwater is the only source of water. This research presents a method based on a spatial multi-criterion evaluation (SMCE) for designing possible sites of underground dams and ranks them according to their suitability. The method was tested for siting underground dams in the Alborz Province, Iran. At first, screening alg
IntroductionAnal squamous cell carcinoma (ASCC) is an HPV-related tumor primarily treated with concurrent chemoradiotherapy (CRT). Salvage surgery is reserved for patients with residual or recurrent disease following CRT, representing a highly selected, high-risk subgroup. Population-based data on outcomes and prognostic factors after salvage surgery are limited. This study aimed to assess overall
Hereditary spinocerebellar degenerations (SCDs) is an umbrella term that covers a group of monogenic conditions that share common pathogenic mechanisms and include hereditary spastic paraplegia (HSP), cerebellar ataxia, and spinocerebellar ataxia. They are often complicated with axonal neuropathy and/or intellectual impairment and overlap with many neurological conditions, including neurodevelopme
Importance: Early identification of the likelihood of autism spectrum disorder (ASD) using minimal information is crucial for early diagnosis and intervention, which can affect developmental outcomes. Objective: To develop and validate a machine learning (ML) model for predicting ASD using a minimal set of features from background and medical information and to evaluate the predictors and the util
