Generally, an off-grid solar power model was applied widely to areas with no electrical network exist for storing energy during the day and using it at night.This model uses a central inverter for several photovoltaic modules, which produces high and dangerous DC voltages, and also has large sizes and high prices.In this study, on-grid solar system
Predictors of switching from nonsteroidal anti-inflammatory drugs to corticosteroids in patients with acute pericarditis and impact on clinical outcome
Background: Aspirin and nonsteroidal anti-inflammatory drugs (A/NSAIDs) are the mainstay treatments for acute pericarditis.We sought to identify factors predicting failure of A/NSAIDs and switch to corticosteroid treatment (STCT) as well as the impact of STCT on pericarditis recurrence.Methods: We enrolled 148 patients with acute pericarditis recei
Study on the mechanism of cholic acid derivatives in traditional Chinese medicine based on the regulation of gene expression
Objective: To investigate the pharmacological action and mechanism of cholic acid derivatives in traditional Chinese medicine (TCM) based on the regulation of gene expression.Methods: Genome-wide gene expression profiles of Michigan Cancer Foundation-7 (MCF-7) cells treated with or without 4 cholic acid derivatives were detected by gene chip techno
Comparison of the CDC Backpack aspirator and the Prokopack aspirator for sampling indoor- and outdoor-resting mosquitoes in southern Tanzania
Abstract Background Resting mosquitoes can easily be collected using an aspirating device.The most commonly used mechanical aspirator is the CDC Backpack aspirator.Recently, a simple, and banana ointment low-cost aspirator called the Prokopack has been devised and proved to have comparable performance.The following study evaluates the Prokopack asp
Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features
ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection.The purpose of this study was to apply deep learning (DL) algorithms for prediction of P/R in NFMAs.MethodsFrom June 2009 to December 2019, 78 patients diagnosed with pathologically confirmed NFMAs, and who had