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Decreased Risk of Parkinson's Disease After Rheumatoid Arthritis Diagnosis : A Nested Case-Control Study with Matched Cases and Controls

BACKGROUND: Rheumatoid arthritis (RA) and the genetic risk landscape of autoimmune disorders and Parkinson's disease overlap. Additionally, anti-inflammatory medications used to treat RA might influence PD risk.OBJECTIVE: To use a population-based approach to determine if there is an association between pre-occurring rheumatoid arthritis (RA) and later-life risk of Parkinson's disease (PD).METHODS

Proteomic analysis of longitudinal changes in blood pressure

Hypertension is the leading risk factor for premature death worldwide. The identification of modifiable causes of hypertension remains an imperative task. We aimed to investigate associations between 79 proteins implicated in cardiovascular disease and longitudinal blood pressure (BP) changes in three Swedish prospective cohorts. In a discovery phase, we investigated associations between baseline

Strong regional influence of climatic forcing datasets on global crop model ensembles

We present results from the Agricultural Model Intercomparison and Improvement Project (AgMIP) Global Gridded Crop Model Intercomparison (GGCMI) Phase I, which aligned 14 global gridded crop models (GGCMs) and 11 climatic forcing datasets (CFDs) in order to understand how the selection of climate data affects simulated historical crop productivity of maize, wheat, rice and soybean. Results show th

Prognostic utility and characterization of left ventricular hypertrophy using global thickness

Cardiovascular magnetic resonance (CMR) can accurately measure left ventricular (LV) mass, and several measures related to LV wall thickness exist. We hypothesized that prognosis can be used to select an optimal measure of wall thickness for characterizing LV hypertrophy. Subjects having undergone CMR were studied (cardiac patients, n = 2543; healthy volunteers, n = 100). A new measure, global wal

Unveiling Rare Pathogens and Antibiotic Resistance in Tanzanian Cholera Outbreak Waters

The emergence of antibiotic resistance is a global health concern. Therefore, understanding the mechanisms of its spread is crucial for implementing evidence-based strategies to tackle resistance in the context of the One Health approach. In developing countries where sanitation systems and access to clean and safe water are still major challenges, contamination may introduce bacteria and bacterio

Reliability of Variables of Consonant Production and Velopharyngeal Competence in 10-year-olds with Cleft Palate Using Multiple Raters

Objective: To assess the reliability of speech data and speech-related quality indicators in the Swedish quality registry for cleft lip and palate (CLP) at 10 years of age. Design: Retrospective study. Setting: University hospitals. Participants: One hundred twenty-one 10-year-olds with unilateral or bilateral CLP. Main outcome measures: Six independent raters reassessed audio recordings for compa

Results reporting for clinical trials led by medical universities and university hospitals in the Nordic countries was often missing or delayed

OBJECTIVE: To systematically evaluate timely reporting of clinical trial results at medical universities and university hospitals in the Nordic countries.STUDY DESIGN AND SETTING: In this cross-sectional study, we included trials (regardless of intervention) registered in the EU Clinical Trials Registry and/or ClinicalTrials.gov, completed 2016-2019, and led by a university with medical faculty or

Impact of cutting tool and workpiece material on initial notch wear in turning

In stainless steel turning, cutting tool life is often limited by excessive localised damage at the depth of cut line, known as notch wear. Previous research revealed that notch wear in CVD (chemical vapour deposition) Al2O3/Ti(C,N) coated WC-Co tools begins as a coating brittle fracture already after 0.3 m of cutting. This paper investigates the impact of cutting tools and workpiece materials on

Factors of importance for the development of evidence-based practice amongst radiographers in public healthcare

IntroductionResearch evidence suggests that radiographers often rely on previous training, traditional practices, work experience and protocols developed within the department rather than up-to-date research-based evidence in their daily practice. The aim of the study was to investigate factors that might impact the development of evidence-based practice amongst radiographers in clinical public se

Renewable Methanol as a Fuel for Heavy-Duty Engines : A Review of Technologies Enabling Single-Fuel Solutions

To meet climate targets, a global shift away from fossil fuels is essential. For sectors where electrification is impractical, it is crucial to find sustainable energy carriers. Renewable methanol is widely considered a promising fuel for powering heavy-duty applications like shipping, freight transport, agriculture, and industrial machines due to its various sustainable production methods. While

Cause-specific excess mortality in Denmark, Finland, Norway, and Sweden during the COVID-19 pandemic 2020–2022 : a study using nationwide population data

While there is substantial evidence on excess mortality in the first two years of the COVID-19 pandemic, no study has conducted a cause-specific analysis of excess mortality for the whole period 2020–2022 across multiple countries. We examined cause-specific excess mortality during 2020–2022 in Denmark, Finland, Norway, and Sweden—four countries with similar demographics and welfare provisions, wh

Post-injury treatment with 7,8-dihydroxyflavone attenuates white matter pathology in aged mice following focal traumatic brain injury

Traumatic brain injury (TBI) is a major cause of morbidity and mortality, not least in the elderly. The incidence of aged TBI patients has increased dramatically during the last decades. High age is a highly negative prognostic factor in TBI, and pharmacological treatment options are lacking. We used the controlled cortical impact (CCI) TBI model in 23-month-old male and female mice and analyzed t

Rb-promoted Fe/CeO2 nanocatalyst for aniline conversion into azoxybenzene, DFT calculations and mechanism

Selectivity control of aniline oxidation and low reactant conversion in traditional synthesis methods are great challenges, and it is desirable to develop a green, low-cost and highly efficient catalytic route toward value-added products. Herein, an Rb-promoted Fe/CeO2 nanocatalyst was prepared to understand the effects of Rb-promoter on the catalytic performance for the selective oxidation of ani

Cognitive assessments among children with cerebral palsy in Sweden and the use of augmentative and alternative communication and interpreters : a cross-sectional registry study

PURPOSE: Children with cerebral palsy (CP) have an increased risk of cognitive difficulties and should be offered cognitive assessments. In Sweden, the CP Cog protocol recommends children with CP undergo cognitive assessments at the start of primary and secondary school. To assess children with CP can be challenging, in particular when children are non-vocal or do not speak the local language. In

Interaction effect of sex and onset of Alzheimer’s disease—rates of progression and prognosis.

Objectives: To investigate the interaction effect of sex and early vs. late onset of Alzheimer’s disease (AD) on long-term cognitive and functional outcomes and survival. Methods: The Swedish Alzheimer Treatment Study (SATS) is a prospective, observational, multicentre study of clinical practice involving 1,017 participants diagnosed with mild-to-moderate AD at the start of cholinesterase inhibito

Improved Cloud Parameterization in Global Climate Model : Aerosol effects and secondary ice production mechanisms

The response of clouds to the changes in climate is uncertain, and the representation of the cloud-climate feedback is a key challenge in the global circulation models (GCM) for future climate projections. Factors contributing to this uncertainty include processes that involve particles of various sizes and phases, as well as the interactions between these particles and the surrounding atmosphere.

The Relationship between p-tau217, p-tau231, and p-tau205 in the Human Brain Is Affected by the Cellular Environment and Alzheimer’s Disease Pathology

The levels of p-tau217 and p-tau231 in cerebrospinal fluid (CSF) are associated with early amyloid beta (Aß) changes in the brain, while the CSF levels of p-tau205 are foremost related to tau pathology in the later stages of the disease. To investigate if the three p-tau variants are found to the same degree in different tau structures and if their co-localization is affected by the diagnosis and

Computational exploration of FOXM1 inhibitors for glioblastoma : an integrated virtual screening and molecular dynamics simulation study

In this study, a comprehensive investigation of a set of phytochemicals to identify potential inhibitors for the Forkhead box protein M1 (FOXM1) was conducted. FOXM1 is overexpressed in glioblastoma (GBM) cells and plays a crucial role in cell cycle progression, proliferation, and invasion. FOXM1 inhibitors have shown promising results in preclinical studies, and ongoing clinical trials are assess

Relationship between adolescent anemia and school attendance observed during a nationally representative survey in India

BACKGROUND: Anemia has been suggested to be related with schooling outcomes in India. Less is known, however, about whether the observed relationship persists after accounting for all household-level factors which may confound the association between anemia and schooling.METHODS: Nationally representative data on adolescents aged 15-18 years with data on measured hemoglobin level and school attend

Deep learning-based Lorentzian fitting of water saturation shift referencing spectra in MRI

PURPOSE: Water saturation shift referencing (WASSR) Z-spectra are used commonly for field referencing in chemical exchange saturation transfer (CEST) MRI. However, their analysis using least-squares (LS) Lorentzian fitting is time-consuming and prone to errors because of the unavoidable noise in vivo. A deep learning-based single Lorentzian Fitting Network (sLoFNet) is proposed to overcome these s