Background and purpose: Volumetric modulated arc therapy (VMAT) planning for head and neck cancer is a complex process.While the lowest achievable dose for each individual organ-at-risk (OAR) is unknown a priori, artificial intelligence (AI) holds promise as a tool to accurately estimate the expected dose distribution for OARs.We prospectively inve
Real-time monitoring of rhamnose induction effect on the expression of mpt64 gene fused with pelB signal peptide in Escherichia coli BL21 (DE3)
In this research, Escherichia coli BL21 (DE3) harboring an expression vector constructed with a rhamnose-inducible promoter and a pelB signal peptide was used as a host cell to produce MPT64 protein.The objective of this research was to figure out the optimum time of mpt64 gene expression through real-time monitoring of MPT64 protein production and
Evaluation of cellular responses for a chimeric HBsAg-HCV core DNA vaccine in BALB/c mice
Background: Fusion of Hepatitis B virus surface antigen (HBsAg) to a DNA construct might be considered as a strategy to enhance cellular and cytotoxic T-lymphocytes (CTL) responses of a Hepatitis C Virus core protein (HCVcp)-based DNA vaccine comparable to that of adjuvanted protein (subunit) immunization.Materials and Methods: pCHCORE Flying Disc
Discovery of the Genomic Region and Candidate Genes of the Scarlet Red Flesh Color (Yscr) Locus in Watermelon (Citrullus Lanatus L.)
The flesh color of watermelon (Citrullus lanatus) is an important fruit quality trait that helps to determine fruit attractiveness and is potentially beneficial to human health.Previous inheritance analyses determined that a single dominant gene, Yscr, produces the scarlet red flesh color rather than the coral red flesh color in watermelon.However,
Improved Reconstruction of MR Scanned Images by Using a Dictionary Learning Scheme
The application of compressed sensing (CS) to biomedical imaging is sensational since it permits a rationally accurate reconstruction of images by exploiting the image sparsity.The quality of CS reconstruction methods largely depends on the use of various sparsifying transforms, such as wavelets, curvelets or total variation (TV), to recover MR ima