In the present work, scanning tunneling microscopy/spectroscopy ͑STM/STS͒ measurements were carried out on underdoped Bi 2 Sr 2−x La x CuO 6+␦ and Bi 2 Sr 2 CaCu 2 O 8+␦ to clarify the origin of the pseudogap, in particular, the inhomogeneous large pseudogap. The nodal part of a d-wave pairing gap, which is under no influence of the inhomogeneous large pseudogap, was also examined by relating the homogeneous bottom part of the STS gap to a nodal d-wave gap in momentum space. We report that the inhomogeneous large pseudogap in the antinodal region links to a two-dimensional electronic charge order, and that the gap size of the nodal d-wave part ⌬ sc scales with the superconducting critical temperature T c in the pseudogap regime.

A 40-year-old womanwas admitted with altered consciousness and hyperammonemia after she had delivered her first baby. DNAanalysis of the citrin gene and enzymatic assay of argininosuccinate synthetase in the liver led to a diagnosis of adult-onset type II citrullinemia (CTLN2). She was also found to have hepatocellular carcinoma (HCC)and underwent palliative surgery consisting of partial liver section of the HCC. Delivery may be a trigger for the development of CTLN2,while certain pathologic conditions associated with citrin gene abnormality are likely to induce hepatocellular carcinomain patients with this disorder. (Internal Medicine 42: 978-982, 2003)

Objective: In this study, we propose a voice index to identify healthy individuals, patients with bipolar disorder, and patients with major depressive disorder using polytomous logistic regression analysis.Methods: Voice features were extracted from voices of healthy individuals and patients with mental disease. Polytomous logistic regression analysis was performed for some voice features.Results: With the prediction model obtained using the analysis, we identified subject groups and were able to classify subjects into three groups with 90.79% accuracy.Conclusion: These results show that the proposed index may be used as a new evaluation index to identify depression.

The changes with development in the expression of cathepsin E in the fetal rat stomach were examined immunochemically and immunohistochemically. The activity of acid proteinase in fetal gastric extracts increased dramatically during late gestational stages, rising from 0.01 7 units per mg of protein on day 15 of gestation to 0.591 units per mg of protein on day 21 of gestation. Electrophoretic analysis, combined with immunological tests, showed that the increase was due exclusively to increases in the activity of the monomeric and dimeric forms of cathepsin E, while SDS-PAGE-immunoblot analysis revealed that both forms are present as a 43-kDa proenzyme. lmmunohistochemically, cathepsin E was localized in the cytoplasm of all proliferating epithelial cells of pars glandularis on day 16 of gestation or later. As revealed by conventional histological methods, surface mucous cells and parietal cells appeared for the first time in specimens on day 19 of gestation, and all of these cells were immunopositive for cathepsin E. The present study further indicated that cathepsin E is the predominant aspartic proteinase in the stomach of young rats, until pepsinogen C appears. Based on these results, possible roles of gastric cathepsin E are discussed.

Background: In many developed countries, mood disorders have become problematic, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, a simple technique to determine individuals’ depressive state and stress level is desired. Methods: We developed a method to assess specific the psychological issues of individuals with major depressive disorders using emotional components contained in their voice. We propose two indices: vitality, a short-term index, and mental activity, a long-term index capturing trends in vitality. To evaluate our method, we used the voices of healthy individuals (n = 14) and patients with major depression (n = 30). The patients were also assessed by specialists using the Hamilton Rating Scale for Depression (HAM-D). Results: A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = −0.33, p < 0.05). Furthermore, we could discriminate the voice data of healthy individuals and patients with depression with a high accuracy using the vitality indicator (p = 0.0085, area under the curve of the receiver operating characteristic curve = 0.76).