Tellurium substitution effect on superconductivity of the alpha-phase Iron Selenide

We have carried out a systematic study of the PbO-type compound FeSe_{1-x}Te_x (x = 0~1), where Te substitution effect on superconductivity is investigated. It is found that superconducting transition temperature reaches a maximum of Tc=15.2K at about 50% Te substitution. The pressure-enhanced Tc of FeSe0.5Te0.5 is more than 10 times larger than that of FeSe. Interestingly, FeTe is no longer superconducting. A low temperature structural distortion changes FeTe from triclinic symmetry to orthorhombic symmetry. We believe that this structural change breaks the magnetic symmetry and suppresses superconductivity in FeTe.Comment: Some typing errors are corrected; we take out one figures, now the paper has 14 pages, 5 figure

Auxiliary health diagnosis method for lead-acid battery

This paper proposes a health auxiliary diagnosis method for the lead-acid battery unit. The proposed method is based on Approximate Entropy (ApEn). Since ApEn can quantify the regularity of a data sequence and the discharging curve for a health lead-acid battery unit is smooth, the proposed method can detect the degradation of battery unit caused by the internal short, opening of internal shorted or cell undergoing reversal using the distorted discharging curve. Aging experiments for the lead-acid battery are developed to verify the proposed method. The experimental results verify that the proposed health auxiliary diagnosis method can diagnosis the degradation of battery unit caused by the internal short, opening of internal shorted or cell undergoing reversal.Lead-acid battery State-of-health Approximate Entropy Coulomb counting method Coup de fouet Sample Entropy

Incidence of subsequent infertility and multivariate Cox proportional hazards regression analysis of the hazard ratios in the two study cohorts.

<p>Incidence of subsequent infertility and multivariate Cox proportional hazards regression analysis of the hazard ratios in the two study cohorts.</p

Risk of infertility following pelvic angiographic embolization in female patients with pelvic fractures: A nationwide population-based cohort study in Taiwan

<div><p>Pelvic angiographic embolization is an effective procedure to provide haemostasis in patients with pelvic fractures. However, management with repeated follow-up radiographs may result in infertility. The study aimed to evaluate the risk of infertility following pelvic fracture treated with pelvic angiographic embolization in female patients. We used data from the National Health Insurance Research Database (NHIRD) provided by the Bureau of National Health Insurance of the Department of Health in Taiwan from the period of 1997–2010. A total of 36 and 18,029 patients were included in the case and control cohorts, respectively. The risk estimations for the case and control cohorts were compared using a Cox’s proportional hazards regression model. The significance level was set at <0.05. After adjusting for possible confounding factors, the incidence of infertility in the case cohort was nearly 30.7-fold higher than that in the control cohort (adjust hazard ratio [HR] = 30.7, 95% confidence interval [CI] = 10.643–70.109). Patients between 15–35 years of age had a much higher incidence of infertility in the case cohort than in the control cohort (adjusted HR = 49.9, 95% CI = 15.177–64.099). Taken together, pelvic fractures in female patients treated with arterioembolization for haemostasis might be associated with a higher risk of infertility in Taiwan. Physicians should be aware of the link and inform patients of this risk prior to arterioembolization.</p></div

Incidence of subsequent infertility and multivariate Cox proportional hazards regression analysis of the hazard ratios in the two study cohorts.

<p>Incidence of subsequent infertility and multivariate Cox proportional hazards regression analysis of the hazard ratios in the two study cohorts.</p

Cox proportional hazards model for the risk of infertility in the study cohorts according to follow-up length.

<p>Cox proportional hazards model for the risk of infertility in the study cohorts according to follow-up length.</p

Patient demographics and comorbidities in the two study cohorts.

<p>Patient demographics and comorbidities in the two study cohorts.</p