Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Effects of light spectrum on the morphophysiology and gene expression of lateral branching in Pepino (Solanum muricatum). [PDF]
Si C, Yang S, Lou X, Zhang G, Zhong Q.
europepmc +1 more source
Anorectal Dysfunction in Systemic Sclerosis: Clinical Phenotypes and Functional Patterns
Objective The aim of this study was to characterize specific physiologic defects in anorectal dysfunction in systemic sclerosis (SSc) using anorectal manometry (ARM), evaluate associations with gastrointestinal (GI) and extraintestinal clinical phenotypes, and explore potential serologic markers for risk stratification.
Timothy Kaniecki +6 more
wiley +1 more source
Evaluating light spectrum and intensity for female turkey breeder reproductive performance. [PDF]
Ziezold CJ, Bédécarrats GY.
europepmc +1 more source
Systemic glucose levels are modulated by specific wavelengths in the solar light spectrum that shift mitochondrial metabolism. [PDF]
Powner MB, Jeffery G.
europepmc +1 more source
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Materials and Methods Using data from a single center, we analyzed employment transitions, adjusted mean ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
Manipulation of light spectrum is an effective tool to regulate biochemical traits and gene expression in lettuce under different replacement methods of nutrient solution. [PDF]
Soufi HR +4 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
Enhancing Acclimatization of Micropropagated <i>Pistachio</i> Through Optimization of Light Spectrum and Vapor Pressure Deficit. [PDF]
Davarzani M +7 more
europepmc +1 more source

