Ten ACA yeast small nucleolar RNAs (snoRNAs) were shown to be required for site-specific synthesis of pseudouridine psi in ribosomal RNA. A common secondary folding motif for the snoRNAs and rRNA target segments predicts that site selection involves: (1) base pairing of the snoRNA with complementary rRNA elements flanking the site of modification, and (2) identification of a uridine located at ...

Paradoxically, many microRNAs appear to exhibit entirely opposite functions when placed in different contexts. For example, miR-125b has been shown be pro-apoptotic some studies, but anti-apoptotic others. To investigate this phenomenon, we combine computational modeling with experimental approaches examine how the function of apoptosis varies respect expression levels its and targets. In so do...

aging has negative effects on motor and cognitive functions, therefore finding appropriate strategies to prevent the decline of these functions is necessary. it seems that cardiovascular fitness obtained by aerobic activity is a physiological mediator that explains the relationship between physical activity and improved cognitive performance. the aim of this research was to assess the effects o...

During flexion of the intact knee, we measured the changes in distance between possible tibial and femoral attachments of an intraarticular ACL substitute. The change in distance during motion was described by the difference between the longest and shortest distances measured. Using knees from eight cadaver donors, we studied the effects of varying tibial and femoral attachment locations, apply...

Abstract Let I be a homogeneous ideal in polynomial ring S . In this paper, we extend the study of asymptotic behavior minimum distance function δ and give bounds for its stabilization point, r , when is an F -pure or square-free monomial ideal. These are related with dimension Castelnuovo–Mumford regularity

Distance function is a main metrics of measuring the affinity between two data points in machine learning. Extant distance functions often provide unreachable values real applications. This can lead to incorrect measure points. paper proposes reachable for KNN classification. The not geometric direct-line It gives consideration class attribute training dataset when Concretely speaking, includes...