The models of both auxiliary partial orthotopic liver transplantation(APOLT)andacute liver failure were established.Acute liver failure in rats was successfully induced by partialhepatectomy of 75%with the remnant liver ischemia for 50 min.In treated group,the recipientsunderwent APOLT before the remnant liver(the right superior and inferior lobes)receiving tem-porary ischemia for 50 min.The experimental results showed that the 5-day survival rate of therats with acute liver failure was only 3%,while in the rats receiving APOLT,the 5-day survivalrate of the recipients and the liver graft was 80%and 73%,respectively.The liver function re-turned near tO normal level on the 5th postoperative day.It is suggested that acute liver failure in-duced by major liver resection with remnant liver ischemia in rat is an ideal model and APOLTmight provide an exact support for experimental acute liver failure in rat.

Objective To assess the quality of life, prevalence of depression and their influencing factors in patients with alopecia, to investigate, and to provide evidences for relevant clinical therapeutic strategies to improve patients′ quality of life. Methods A questionnaire survey was carried out in 237 patients with androgenetic alopecia or alopecia areata, and their quality of life and depression were measured using dermatology life quality index(DLQI)and center for epidemiologic studies depression scale (CES-D), respectively. Factors influencing the quality of life and depression were analyzed by analysis of variance and logistic regression analysis. Results Among 237 patients with alopecia, 218 questionnaires were eligible with the mean score of DLQI being 9.1 ± 5.4. Alopecia had a moderate effect on the quality of life in general, and 38.07%of the patients were severely affected. The mean score of CES-D was 14.8 ± 9.9, and 37.61%of the patients showed depressive tendency. The DLQI score was positively correlated with CES-D score(r=0.29, P<0.01). One-way analysis of variance(ANOVA)showed that the DLQI score was not affected by age, gender, education level or the number of visits. Multivariate logistic regression analysis revealed that the risk factors for depressive tendency in patients with alopecia were the number of visits (OR = 1.81, 95% CI: 1.21- 2.69) and DLQI score (OR = 1.08, 95% CI: 1.03- 1.13). Conclusion Alopecia not only affects the quality of life, but also mental states of patients.

Objective To propose a distribution feature extraction algorithm based on wavelet packet coefficients to reconstruct the signal energy sequence for effectively identifying the pathological features of heart sounds,thereby realizing the early screening of heart diseases.Methods The original heart sound signal was decomposed into 10 layers using wavelet packet decomposition algorithm.After obtaining the wavelet packet coefficients of each layer,each coefficient was reconstructed,and the energy of the reconstructed signal was calculated and arranged in the original order to form the energy sequence.The distribution characteristics of the energy sequence of the reconstructed signals at each layer were analyzed,and distribution features were taken as classification features.Support vector machine,K-nearest neighbor,and decision tree were used to classify and recognize normal heart sounds and the heart sound signals of various diseases.Results The combination of the distribution features of the reconstructed signal energy sequence and decision tree classifier had an accuracy of 93.6%for classifying 5 types of heart sounds on the public dataset,and the accuracy was 95.6%for identifying normal heart sounds and hypertrophic cardiomyopathy heart sounds.Conclusion The proposed algorithm can extract the effective pathological information of abnormal heart sounds,providing a reference for clinical cardiac auscultation.