The glutamine in position 69 is one of only three conserved active-site amino acid differences between Fe- and Mn-containing superoxide dismutases (SODs). We have refined the conditions for extremely selective labeling of the side chains of glutamine with 15N, and thus obtained dramatically simplified spectra, despite the large size of Fe-SOD. The improved resolution afforded by such highly spe...

introduction: the endemic occurrence of new strains of tuberculosis around the globe has initiated new research on developing diagnostic radiopharmaceutical based on antibiotics. methods:tc-99m labeled streptomycin was prepared using freshly milked 99mtco4- and various concentrations of streptomycin, stannous chloride at various temperatures in high yield radiochemical purity shown by hplc/rtlc...

Inaccurate penicillin allergy (PCN-A) labels pose a major public health challenge. De-labeling in primary care is crucial but underutilized. We demonstrate an effective model for PCN-A evaluation and de-labeling by physicians (PCPs) adult clinic. PCPs identify refer patients with label to the clinic pharmacist, who risk stratifies using validated, institutional beta lactam stratification decisi...

background and purpose : there has been no report in which preoperative evaluation of adc for prediction of post therapeutic outcome was presented. the aim of our study was to retrospectively evaluation the use of the apparent diffusion coefficient (adc) for the prediction of malignancy and the outcome of malignant astrocytic tumors. methods: we reviewed mri of 26 male and 14 female patients wi...

background: various frequencies of sperm aneuploidy are reported in sperms of subfertile patients compared to normal individuals. moreover, sperm dna damage is shown to be associated with male infertility. in this study, the rate of dna damage and frequencies of aneuploidy in sperms of subfertile patients was investigated. methods: semen samples were obtained from healthy normal and subfertile ...

In CT-based security screening, a challenging problem is to correctly identify and label objects in a scene from X-ray projection data. The presence of artifacts in the reconstructed image confounds traditional segmentation and labeling methods. In this work, we focus on integrating machine learning, physical modeling and Bayesian inference in a framework for direct material identifi cation and...