Results 61 to 70 of about 40,557 (254)
Background and Objectives: Maternal vitamin D (25-hydroxyvitamin D, 25(OH)D) deficiency during pregnancy is associated with adverse outcomes for both mother and fetus. While vitamin D supplementation is commonly recommended, dietary and lifestyle factors
Artemisia Kokkinari +7 more
doaj +1 more source
Introduction: The accumulation of heavy metals (HMs) in the soil is of increasing concern due to food safety issues, potential health risks, and the detrimental effects on soil ecosystems.
M.A. Delavar, Y. Safari
doaj +1 more source
Addressing Economic Insecurities Can Improve Patient‐Reported Outcomes in Lupus
Background Economic insecurities, such as food, housing, transportation, and financial challenges, are modifiable risk factors and influence patient‐reported outcomes (PROs) in systemic lupus erythematosus (SLE). We examined: 1) associations between economic insecurities and PROs; 2) the impact of screening and addressing economic insecurities during ...
Jay Patel +8 more
wiley +1 more source
Introduction Rheumatic and musculoskeletal diseases(RMDs) are leading causes of physical disability, necessitating support with activities of daily living(ADLs). This study describes social care received by patients with RMDs in two disperate regions of England: Salford(urban) and Norfolk(rural).
Mehreen Somro +6 more
wiley +1 more source
Background Clinical response to Mycophenolic acid (MPA) is highly heterogeneous; thus, therapeutic drug monitoring (TDM) may help improve treatment efficacy. This systematic review and meta‐analysis examined therapeutic ranges for MPA levels associated with better outcomes and safety in patients with SLE, particularly those with extra‐renal ...
Zahraa Qamhieh +5 more
wiley +1 more source
A statistical framework is applied to quantify the distribution of electrical resistivity among individual filaments of two commercially available carbon fiber types. Correlations between filament resistivity, tensile modulus, and diameter are examined and complemented by TEM analysis to provide new insight into filament‐level variability relevant for ...
Nils Wieja +9 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
The present paper aims to conduct a sociolinguistic study of the variation of strategies of affirmative second-person imperative (second-person form and third-person form) in the instructions of tests produced by Angolan teachers of the Teacher ...
António Kingui da Silva +2 more
doaj
Empirical Likelihood Based Testing for Multivariate Regular Variation
Multivariate regular variation is a common assumption in the statistics literature and needs to be verified in real-data applications. We develop a novel hypothesis test for multivariate regular variation, employing localized empirical likelihood. We establish the weak convergence of the test statistic to a non-standard, distribution-free limit and ...
Einmahl, John, Krajina, Andrea
openaire +1 more source

