Methods of abiotic and biotic degradation of EDTA were systemized. Special attention was paid to microbiological degradation of EDTA was paid. Data on EDTA transport and metabolism pathways in aerobic bacteria are represented. The practical aspects of application of aerobic bacteria-destructors Ricolinostat cell line of EDTA in ecobiotechnology were discussed.”
“Objective: To analyze the clinical features, hearing rehabilitation and family related gene mutations in the Chinese cases of Treacher Collins syndrome (TCS). The purpose of this study is to emphasize the genetic research result correlating with the clinical
assessment of TCS in Chinese families.
Methods: Six patients with tentative diagnosis and family members of two patients
were analyzed in this study. The analysis included medical histories, clinical analysis, hearing tests and genetic tests. The TCOF1, POLR1C and POLR1D genes were sequenced to identify the pathogenic mutation responsible for the development of TCS.
Results: The two TCS cases exhibited high phenotypic variability. One novel heterozygous mutation (c.4420 C > T) in the TCOF1 gene was identified. The mutations were found BMN 673 in the TCS patients but not in any of their unaffected family members or the 200 unrelated control subjects.
Conclusions: A novel TCOF1 c.4420 C > T mutation can be a cause of TCS in Chinese. We think that genetic studies to assess patients with mandibulofacial dysostosis may assist in making TCS diagnosis and providing consultant for their families. (C) 2013 Elsevier Ireland Ltd. All rights reserved.”
“Confirmatory factor analysis fit criteria typically are used to evaluate the unidimensionality of item banks. This study explored
the degree to which the values of these statistics are affected by two characteristics of item banks developed to measure health outcomes: large numbers of items and nonnormal data.
Analyses were conducted on simulated and observed data. Observed data were responses to the Patient-Reported Outcome Measurement Information System (PROMIS) Pain Impact Item Bank. Simulated Navitoclax clinical trial data fit the graded response model and conformed to a normal distribution or mirrored the distribution of the observed data. Confirmatory factor analyses (CFA), parallel analysis, and bifactor analysis were conducted.
CFA fit values were found to be sensitive to data distribution and number of items. In some instances impact of distribution and item number was quite large.
We concluded that using traditional cutoffs and standards for CFA fit statistics is not recommended for establishing unidimensionality of item banks. An investigative approach is favored over reliance on published criteria. We found bifactor analysis to be appealing in this regard because it allows evaluation of the relative impact of secondary dimensions.