Why do women in former communist countries look unhappy? A demographic perspective

This paper investigates the causes of the positive correlation between happiness and the sex gap in happiness between women and men observed in Europe. Departing from a variety of hypotheses that are based on the sex differences at the individual level, this paper tests whether the positive correlation can be explained by the sex difference in life expectancy. The mechanisms working behind are as follows. First, national average happiness affects the sex gap in life expectancy negatively because men are more fragile to stress (unhappiness). Second, the sex difference in life expectancy influences the sex gap in happiness negatively because it affects the chance of being a widow for women. Using a 3SLS approach, it found that both effects are significant and that the direct effects between happiness and the happiness gap are insignificant. These results indicate that the positive correlation between happiness and the happiness gap is an artifact of the demographic compositional effect resulted from the sex gap in life expectancy.Europe, economic and social development, life expectancy

On the intertemporal allocation of consumption, mortality and life-history strategies

This paper studies the bio-evolutionary origin of time preference. By examining human life-history strategies, it demonstrates that time discounting and mortality reflect the age-variation in the value of survival, which in turn depends on future reproduction and production. Consistent with empirical findings, it also suggests that our biologically endowed time preference is positive, reaches its lowest at around age twenty and increases thereafter, and is higher when exchange transactions involve a reduction in present consumption than when they involve an increase in present consumption.

Happiness and sex difference in life expectancy

This paper examines the effects of happiness on the sex gap in life expectancy. Utilizing a cross-country data set, it first inspects the reverse effect of the life expectancy gap on happiness and demonstrates that the life expectancy gap negatively affects happiness through the composition of marital status. Taking this reverse causality into account, it shows that happiness is significant on explaining the differences in the life expectancy gap between countries. As national average happiness increases, the sex difference in life expectancy decreases. This is consistent with the findings that psychological stress (unhappiness)adversely affects survival and that the effect of psychological stress on mortality is more severe for men. This result provides an indirect evidence that happiness affects survival even at the national aggregate level.economic and social development, life expectancy

Catch-and-Release of Target Cells Using Aptamer-Conjugated Electroactive Zwitterionic Oligopeptide SAM

Nucleic acid aptamers possess attractive features such as specific molecular recognition, high-affinity binding, and rapid acquisition and replication, which could be feasible components for separating specific cells from other cell types. This study demonstrates that aptamers conjugated to an oligopeptide self-assembled monolayer (SAM) can be used to selectively trap human hepatic cancer cells from cell mixtures containing normal human hepatocytes or human fibroblasts. Molecular dynamics calculations have been performed to understand how the configurations of the aptamers are related to the experimental results of selective cell capture. We further demonstrate that the captured hepatic cancer cells can be detached and collected along with electrochemical desorption of the oligopeptide SAM, and by repeating these catch-and-release processes, target cells can be enriched. This combination of capture with aptamers and detachment with electrochemical reactions is a promising tool in various research fields ranging from basic cancer research to tissue engineering applications

Genetic diversity of HIV type 1 in Likasi, southeast of the Democratic Republic of Congo

金沢大学医薬保健研究域医学系To investigate the prevalence of subtypes A and C, and the existence of recombinants of both subtypes in the southeast of the Democratic Republic of Congo (DRC), blood samples were collected from 27 HIV-infected individuals in Likasi, located in an area bordering close to Zambia, and analyzed phylogenetically. Out of the 24 strains with a positive PCR profile for pol-IN and env-C2V3, 15 (62.5%) had a discordant subtype or CRF designation: one subtype A/G (pol/env), four A/U (unclassified), three G/A, one G/CRF01, three H/A, one J/C, one CRF02 (G)/A, and one U/A. Nine (37.5%) strains had a concordant subtype or CRF designation: five subtype A, two C, one D, and one CRF02/G. The remaining three samples negative for PCR with env-C2V3 primers used in this study were further analyzed with env-gp41 primers and revealed the presence of two profiles: two J/J (pol-IN/env-gp41) and one C/G. These data highlight the presence of a high proportion (16/27, 59.3%) of recombinant strains and a low prevalence (4.1 and 7.4%) of subtype C based on env-C2V3 and pol-IN analyses, respectively, in Likasi. In addition, this is the first report that CRF02_AG exists in DRC, though the epidemiological significance of the existence of CRF02_AG in DRC remains unknown

A risk stratification model based on four novel biomarkers predicts prognosis for patients with renal cell carcinoma.

Background:Accurate prediction of the prognosis of RCC using a single biomarker is challenging due to the genetic heterogeneity of the disease. However, it is essential to develop an accurate system to allow better patient selection for optimal treatment strategies. ARL4C, ECT2, SOD2, and STEAP3 are novel molecular biomarkers identified in earlier studies as survival-related genes by comprehensive analyses of 43 primary RCC tissues and RCC cell lines.Methods:To develop a prognostic model based on these multiple biomarkers, the expression of four biomarkers ARL4C, ECT2, SOD2, and STEAP3 in primary RCC tissue were semi-quantitatively investigated by immunohistochemical analysis in an independent cohort of 97 patients who underwent nephrectomy, and the clinical significance of these biomarkers were analyzed by survival analysis using Kaplan-Meier curves. The prognostic model was constructed by calculation of the contribution score to prognosis of each biomarker on Cox regression analysis, and its prognostic performance was validated.Results:Patients whose tumors had high expression of the individual biomarkers had shorter cancer-specific survival (CSS) from the time of primary nephrectomy. The prognostic model based on four biomarkers segregated the patients into a high- and low-risk scored group according to defined cut-off value. This approach was more robust in predicting CSS compared to each single biomarker alone in the total of 97 patients with RCC. Especially in the 36 metastatic RCC patients, our prognostic model could more accurately predict early events within 2 years of diagnosis of metastasis. In addition, high risk-scored patients with particular strong SOD2 expression had a much worse prognosis in 25 patients with metastatic RCC who were treated with molecular targeting agents.Conclusions:Our findings indicate that a prognostic model based on four novel biomarkers provides valuable data for prediction of clinical prognosis and useful information for considering the follow-up conditions and therapeutic strategies for patients with primary and metastatic RCC

The Effects of A Continuous Increase in Lifetime on Saving

This paper examines the effects on saving of a continuous increase in lifetime and shows that a greater increase in lifetime leads to greater savings. This is because an increase in lifetime is accompanied by uncertainty and because the working-age cohort whose lifetime is longer saves more than the retired cohort dissaves. This result is tested empirically with cross-country data, and it is confirmed that an increase in life expectancy has a positive effect on various saving rates. Copyright 2003 by the International Association for Research in Income and Wealth.

The intertemporal allocation of consumption, time preference, and life-history strategies

Time preference, Mortality, Life history theory, Intertemporal loss aversion, Intergenerational transfers, B41, D91,

The Gender Deifference in the Burden of Having Children:Evidence from Life Satisfaction Data

　This paper uses life satisfaction data from World and European Integrated Values Survey 1981–2008 and analyzes the gender difference in the relationship between the number of children and life satisfaction across welfare regimes. In doing so, we identify the gender difference in the parenting burden. Our results show that the gender with higher parenting costs, generally women, obtain lower satisfaction from having children. In particular, we find that the women’s disadvantage in life satisfaction is smaller in social democratic and liberal counties where extensive childcare supports are provided. We also find that the opposite is true in developing countries and NIEs in which public childcare supports are not widely available