Stroke poses a significant health threat, affecting millions annually.Early and precise prediction is crucial to providing effective preventive healthcare interventions.This study applied an ensemble machine learning and data mining approach to enhance the effectiveness of stroke prediction.By employing the cross-industry standard process for data
Multilevel Inverters (MLIs) are widely sought after in medium-voltage applications like electric ships, electric aircraft, and renewable energy integration due to excellent advantages like lower device stress, better power quality, and modularity.However, non-sinusoidal excitations from MLIs pose a serious problem to motor-insulation and lead to th
This research explored the phenomenon of affiliation suppression, in which Golf Accessories a subjective experience of attraction is more positive than the behavioral response.In a narrative investigation (Study 1), a laboratory study (Study 2), and an actual/ideal discrepancy task (Study 3), we investigated the prevalence, covariates, and conseque
Deployment of cultivars with genetic resistance is an effective approach to control the diseases of powdery mildew (PM) and yellow rust (YR).Chinese wheat cultivar XK0106 exhibits high levels of resistance to both diseases, while cultivar E07901 has partial, adult plant resistance (APR).The aim of this study was to map resistance loci derived from