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Objective. To analyze the characteristics of pulse graph parameters in patients with polycystic ovary syndrome (PCOS) varied at different body mass index (BMI) levels and to provide pulse diagnosis basis for syndrome differentiation and treatment of PCOS. Methods. Pulse graph parameters of 152 patients with PCOS (26 lean patients, 63 patients with moderate weight, and 63 overweight patients) were measured by a Z-BOX pulse meter, and the pulse graph parameters of patients with PCOS varied at different BMI levels were analyzed. Results. Fine pulse, slippery pulse, and string-like pulse were the most common pulse conditions in patients with PCOS. The common pulse conditions of patients with PCOS varied at different BMI levels. The order of pulse conditions was as follows: lean group: fine pulse > string-like pulse > slippery pulse; moderate group: fine pulse > slippery pulse > string-like pulse; and overweight group: slippery pulse > fine pulse > sunken pulse. Compared to the overweight group, the pulse graph parameters h1, h3, h4, h5, h4/h1, As, and Ad increased in the moderate group ( P < 0.05 ), and the parameters h1, h3, and Ad increased ( P < 0.05 ) and the parameter t1 decreased ( P < 0.05 ) in the lean group. Conclusion. Pulse graph parameters among patients with PCOS varied at different BMI levels, which can probably provide pulse diagnosis basis for syndrome differentiation and treatment of PCOS by traditional Chinese medicine (TCM).

Geotechnical parameters are often considered to be independent variables in the reliability analysis of slopes, however, some variables are correlated. In this study, the copula-based sampling method is first applied to study 3D reliability of seismic slopes as well as the cross correlation between the geotechnical parameters. The safety factors and the failure probability of seismic slopes are investigated using the copula-based sampling method in the framework of the 3D rigorous limit equilibrium method. Moreover, the effects of geotechnical parameters on reliability analysis of seismic slopes are studied. Two cases are considered to illustrate the efficiency of the copula-based sampling method. It is found that the results obtained using the copula-based sampling method are in good agreement with those obtained by a Monte Carlo simulation.

Objective Pulmonary nodules (PNs) are one of the imaging manifestations of early lung cancer screening, which should receive more attention. Traditional Chinese medicine believes that voice changes occur in patients with pulmonary diseases. The purpose of this study is to explore the differences in phonetic characteristics between patients with PNs and able-bodied persons. Methods This study explores the phonetic characteristics of patients with PNs in order to provide a simpler and cheaper method for PN screening. It is a case-control study to explore the differences in phonetic characteristics between individuals with and without PNs. This study performed non-parametric statistics on acoustic parameters of vocalizations, collected from January 2017 to March 2018 in Shanghai, China, from these two groups; it explores the differences in third and fourth acoustic parameters between patients with PNs and a normal control group. At the same time, computed tomography (CT) scans, course of disease, combined disease and other risk factors of the patients were collected in the form of questionnaire. According to the grouping of risk factors, the phonetic characteristics of the patients with PNs were analyzed. Results This study was comprised of 200 patients with PNs, as confirmed by CT, and 86 healthy people that served as a control group. Among patients with PNs, 43% had ground glass opacity, 32% had nodules with a diameter ≥ 8 mm, 19% had a history of smoking and 31% had hyperlipidemia. Compared with the normal group, there were statistically significant differences in pitch, intensity and shimmer in patients with PNs. Among patients with PNs, patients with diameters ≥ 8 mm had a significantly higher third formant. There was a significant difference in intensity, fourth formant and harmonics-to-noise ratio (HNR) between smoking and non-smoking patients. Compared with non-hyperlipidemia patients, the pitch, jitter and shimmer of patients with PNs and hyperlipidemia were higher and the HNR was lower; these differences were statistically significant. Conclusion This measurable changes in vocalizations can be in patients with PNs. Patients with PNs had lower and weaker voices. The size of PNs had an effect on the phonetic formant. Smoking may contribute to damage to the voice and formant changes. Voice damage is more pronounced in individuals who have PNs accompanied by hyperlipidemia.

To investigate the mechanisms through which myocyte large-conductance CaMiddle cerebral arteries (MCA) were obtained from 8-week-old male Wistar rats after anaesthetized. Middle cerebral arterial smooth muscle cells were enzymatically isolated. Whole cell recording mode of patch clamp technique was used to measure the current density of BK① Melatonin markedly increased the whole-cell BKMelatonin mediates vasodilation of MCA through the activation of BK

Asthma is a kind of chronic respiratory inflammation, commonly with breathlessness, chest tightness, coughing, recurrent episodes of wheezing and airflow obstruction, severely affecting human health. A variety of immunocytes are involved in this chronic disease. Chinese herbal medicine(CHM) has a long history in the treatment of asthma. A large number of studies have shown that CHM could ameliorate asthma symptoms through regulating cellular immune responses. This paper reviewed the studies of CHM on the regulation of immunocytes and their mechanisms in recent years, including the count of inflammatory cells, maturation of dendritic cells, balance of helper T cell subtypes, induction of regulatory T cells and intracellular signaling pathways. We also proposed the future research directions about the effects of CHM on asthma treatment.

Allogeneic hematopoietic stem cell transplantation is a widely used and effective therapy for hematopoietic malignant diseases and numerous other disorders. High-resolution human leukocyte antigen (HLA) haplotype frequency distributions not only facilitate individual donor searches but also determine the probability with which a particular patient can find HLA-matched donors in a registry. The frequencies of the HLA-A, -B, -C, -DRB1, and -DQB1 alleles and haplotypes were estimated among 169,995 Chinese volunteers using the sequencing-based typing (SBT) method. Totals of 191 HLA-A, 244 HLA-B, 146 HLA-C, 143 HLA-DRB1 and 47 HLA-DQB1 alleles were observed, which accounted for 6.98%, 7.06%, 6.46%, 9.11% and 7.91%, respectively, of the alleles in each locus in the world (IMGT 3.16 Release, Apr. 2014). Among the 100 most common haplotypes from the 169,995 individuals, nine distinct haplotypes displayed significant regionally specific distributions. Among these, three were predominant in the South China region (i.e., the 20th, 31st, and 81sthaplotypes), another three were predominant in the Southwest China region (i.e., the 68th, 79th, and 95th haplotypes), one was predominant in the South and Southwest China regions (the 18th haplotype), one was relatively common in the Northeast and North China regions (the 94th haplotype), and one was common in the Northeast, North and Northwest China (the 40th haplotype). In conclusion, this is the first to analyze high-resolution HLA diversities across the entire country of China, based on a detailed and complete data set that covered 31 provinces, autonomous regions, and municipalities. Specifically, we also evaluated the HLA matching probabilities within and between geographic regions and analyzed the regional differences in the HLA diversities in China. We believe that the data presented in this study might be useful for unrelated HLA-matched donor searches, donor registry planning, population genetic studies, and anthropogenesis studies.

Numerous researchers have taken the solid step forward towards the objectification research of Traditional Chinese Medicine (TCM) four diagnostic methods. However, it is deficient in studies on information fusion of the four diagnostic methods. We establish four-diagnosis syndrome differentiation model of TCM based on information fusion technology. The objective detection instruments of four-diagnostic method are applied to collect four-diagnosis objective information of 506 cases of clinical heart-system patients. Then multiple information fusion methods are adopted to establish recognition model of syndromes. The results of our experiments show that recognition rates of the six syndromes using multi-label learning is better than OCON artificial neural network and multiple support vector machine.