A Comparison of SCAT and Ueno’s Qualitative Analysis as the Qualitative Data Analysis: A Study of Interview Data from a Kindergarten Director

The purpose of this study is to compare the characteristics of SCAT (Steps for Coding and Theorization) and Ueno’s qualitative analysis as a form of qualitative data analysis applied to interview data from a kindergarten director. The subject and methods of the study are as follows. (1) We interviewed the director of Kindergarten A. (2) The research question asked why he started to run the child-based kindergarten. (3) We analyzed the interview data using SCAT. (4) We also analyzed the interview data using Ueno’s qualitative analysis. (5) We compared their characteristics. The analyses made the following points clear. First, the SCAT is characterized by the decontextualisation of the segmented text, step by step. By contrast, Ueno’s qualitative analysis is marked by its recontextualization through the mapping and charting of metadata. Second, when we use SCAT, we need to understand the theory of qualitative inquiry and must read the text over and over, analyzing it over time. However, the intellectual excitement when we discover the inherent meaning in the text is great. However, Ueno’s qualitative analysis is superior in terms of cost performance, time saved, and energy savings, though it does not convert qualitative data into words. With this approach, the intellectual excitement we felt when we discovered the meaning inherent in a text was not as great as when using SCAT

(−)545-fac-Δ-Tris(l-prolinato)cobalt(III) trihydrate

The absolute configuration of the octa­hedral fac-CoN3O3 title complex, [Co(C5H8NO2)3]·3H2O, has been determined by single-crystal X-ray analysis. A three-dimensional network of hydrogen bonds is observed between the proline carboxyl­ate groups and the three uncoordinated water mol­ecules

Transcriptome Analyses of In Vitro Exercise Models by Clenbuterol Supplementation or Electrical Pulse Stimulation

Exercise has beneficial effects on human health and is affected by two different pathways; motoneuron and endocrine. For the advancement of exercise research, in vitro exercise models are essential. We established two in vitro exercise models using C2C12 myotubes; EPS (electrical pulse stimulation) for a motoneuron model and clenbuterol, a specific β2 adrenergic receptor agonist, treatment for an endocrine model. For clenbuterol treatment, we found that Ppargc1a was induced only in low glucose media (1 mg/mL) using a 1-h treatment of 30 ng/mL clenbuterol. Global transcriptional changes of clenbuterol treatment were analyzed by RNA-seq and gene ontology analyses and indicated that mitogenesis and the PI3K-Akt pathway were enhanced, which is consistent with the effects of exercise. Cxcl1 and Cxcl5 were identified as candidate myokines induced by adrenaline. As for the EPS model, we compared 1 Hz of 1-pulse EPS and 1 Hz of 10-pulse EPS for 24 h and determined Myh gene expressions. Ten-pulse EPS induced higher Myh2 and Myh7 expression. Global transcriptional changes of 10-pulse EPS were also analyzed using RNA-seq, and gene ontology analyses indicated that CaMK signaling and hypertrophy pathways were enhanced, which is also consistent with the effects of exercise. In this paper, we provided two transcriptome results of in vitro exercise models and these databases will contribute to advances in exercise research

Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based parcellation

Determination of the optimal number of clusters based on VI and MI in intracalcarine cortex. The intracalcarine cortex was selected as a control region. The VI and MI values are shown for every clustering solution for k values ranging from 2 to 10. Arrows indicate either local minima of VI or local maxima of MI. Dashed lines denote the optimal number of solutions as determined using both VI and MI. The error bars denote standard errors of the mean for 100 repetitions of the split-half procedure (see the “Estimation of the optimal number of clusters” section). “n.s.” indicates no statistically significant difference between points. (PDF 334 kb