A real-world study to evaluate effectiveness of mepolizumab in treating severe asthma in Taiwan (REMIT).

Background: REMIT is the first real-world study of mepolizumab effectiveness in patients with severe asthma (SA) in Taiwan.

Objectives: The primary objective evaluated changes in clinically significant exacerbations (CSEs; defined as use of oral corticosteroids (OCS) or emergency department (ED) visits and/or hospitalizations) in the 12 months pre- and post-mepolizumab treatment. Secondary objectives assessed changes in the number of CSEs requiring ED visits/hospitalizations and daily maintenance OCS (mOCS) dosage 12 months pre- and post-mepolizumab treatment.

The Effect of Sensory Reweighting on Postural Control and Cortical Activity in Parkinson's Disease: A Pilot Study.

Objective: To investigate the effects of sensory reweighting on postural control and cortical activity in individuals with Parkinson's disease (PD) compared to age-matched controls using a virtual reality sensory organization test (VR-SOT).

Design: Cross-sectional pilot study.

Setting: University research laboratory.

1-Methylxanthine enhances memory and neurotransmitter levels.

1-Methylxanthine (1-MX) is the major metabolite of caffeine and paraxanthine and might contribute to their activity. 1-MX is an adenosine receptor antagonist and increases the release and survivability of neurotransmitters; however, no study has addressed the potential physiological effects of 1-MX ingestion. The aim of this study was to compare the effect of 1-MX on memory and related biomarkers in rats compared to control.

A human oral commensal-mediated protection against Sjögren's syndrome with maintenance of T cell immune homeostasis and improved oral microbiota.

Sjögren's syndrome (SS) is a prevalent systemic autoimmune disease with substantial impacts on women's health worldwide. Although oral Haemophilus parainfluenzae is reduced in SS, its significance remains unclear. This study aimed to elucidate the pathophysiological role of H.

Regression study on fruit-setting days of purple eggplant fruit based on in situ VIS-NIRS and attention cycle neural network.

In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it challenging to determine the maturity of purple eggplant fruit. The length of the fruit-setting date can determine when the eggplant is ready to be harvested. This study uses deep learning techniques to predict the date of fruit maturity.