Over the last decade, many pairwise-constraint-based metric learning algorithms have been developed to automatically learn application-specific metrics from data under similarity/dissimilarity data-pair constraints (weak labels).Nevertheless, these existing methods are designed for the centralized learning case, in which all the data and constraint
BackgroundCardiovascular disease (CVD) is strongly correlated with plasma atherogenic index (AIP); however, there is limited literature exploring the association between trajectories of change in AIP and the risk of CVD.This study aimed to investigate whether changes in AIP are associated with CVD in individuals with cardiovascular-kidney-metabolic
Technological substitutions play a major role in the research and development efforts of most modern industries.If timed and provisioned well, successful technology substitutions can Camera Bags provide significant market advantages to firms that have anticipated the demand correctly for emergent technologies.Conversely, failure to commit to new te
This study proposes an effective dynamic OHT routing approach to handle a substantial volume of wafer transport in a modern large semiconductor fabrication plant.The proposed approach aims to overcome challenges faced by previous approaches whose applicability is limited in conditions where the underlying distribution of traffic conditions varies o
Malbranchea is a genus within the order Onygenales (phylum Ascomycota) that includes predominantly saprobic cosmopolitan species.Despite its ability to produce diverse secondary metabolites, no genomic data for Malbranchea spp.are currently available in databases.Therefore, in this study, we obtained, assembled, and annotated the genomic sequence o