5,120 research outputs found
FIGURE 1. Acronema crassifolium Huan C.Wang, X.M. Zhou & Y.H. Wang. A. Habit. B. Infrutescence. C. Flower. D. Fruit. A and C in Acronema crassifolium sp. nov. (Apiaceae), a distinct new species from Yunnan, southwest China
No full textFIGURE 1. Acronema crassifolium Huan C.Wang, X.M. Zhou & Y.H. Wang. A. Habit. B. Infrutescence. C. Flower. D. Fruit. A and C drawn from Wang et al. 1344 (HYU), B and D drawn from Zhu & Wu 2802 (HYU).Published as part of <i>WANG, HUAN-CHONG, ZHOU, XIN-MAO, SUN, HANG & WANG, YUE-HUA, 2013, Acronema crassifolium sp. nov. (Apiaceae), a distinct new species from Yunnan, southwest China, pp. 39-44 in Phytotaxa 87 (3)</i> on page 40, DOI: 10.11646/phytotaxa.87.3.1, <a href="http://zenodo.org/record/10087634">http://zenodo.org/record/10087634</a>
DS_10.1177_0022034520901710 – Supplemental material for DPSCs Attenuate Experimental Progressive TMJ Arthritis by Inhibiting the STAT1 Pathway
No full textSupplemental material, DS_10.1177_0022034520901710 for DPSCs Attenuate Experimental Progressive TMJ Arthritis by Inhibiting the STAT1 Pathway by S.J. Cui, T. Zhang, Y. Fu, Y. Liu, Y.H. Gan, Y.H. Zhou, R.L. Yang and X.D. Wang in Journal of Dental Research</p
Meleonoma proximihamatilis : Wang et al. 2020
No full textMeleonoma proximihamatilis (Wang, 2006) Cryptolechia proximihamatilis Wang, 2006b: 15. Meleonoma proximihamatilis: Wang et al., 2020: 386. Material examined. Type material: CHINA, Sichuan: Holotype • ♂, Baoxing (30.37°N, 102.83°E), 1100 m, 5.VIII.2004, leg. Y.D. Ren, slide No. W04055. Additional material. Guangxi: • 2♂, Mt. Daming, Nanning, 1200 m, 5.VIII.2014, leg. S.L. Hao & Y.H. Sun; • 2♂, Yangmeiao, Huanjiang County, Hechi City, 1180 m, 23.VII.2015, leg. M.Q. Yang & G.E. Lee; Guizhou: • 1♂, Huixiangping, Jiangkou, 1700 m, 29.VII.2001, leg. H.H. Li & X.P. Wang. Distribution. China (Guangxi, Guizhou, Sichuan). Remarks. Wang (2006b) described M. proximihamatilis based on one male and one female that were collected from different localities of Sichuan. During this study, we found the female of M. proximihamatilis looked the same as the female of M. similifloralis after dissecting some males and females of M. similifloralis that were collected from Zhejiang. So, the female of M. proximihamatilis was mismatched originally, and it is still awaiting to be discovered.Published as part of Wang, Shuxia, Zhu, Xiaoju & Tao, Zhulin, 2021, Study of the genus Meleonoma Meyrick, 1914 (Lepidoptera: Autostichidae) from China (III), with descriptions of eighteen new species, pp. 303-333 in Zootaxa 4995 (2) on page 314, DOI: 10.11646/zootaxa.4995.2.5, http://zenodo.org/record/505662
Enhancement of the antifungal activity of Bacillus subtilis F29-3 by the chitinase encoded by Bacillus circulans chiA gene
No full textArsenate adsorption by Mg/Al–NO3 layered double hydroxides with varying the Mg/Al ratio.
No full textOxygen-induced structural change of zirconia by adding rare earth oxides with solid state method
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Cardiovascular age of aviation personnel: based on principal component analysis of heart rate and blood pressure variability
No full textObjective: To introduce a method to calculate cardiovascular age, a new, accurate and much simpler index for assessing cardiovascular autonomic regulatory function, based on statistical analysis of heart rate and blood pressure variability (HRV and BPV) and baroreflex sensitivity (BRS) data. Methods: Firstly, HRV and BPV of 89 healthy aviation personnel were analyzed by the conventional autoregressive (AR) spectral analysis and their spontaneous BRS was obtained by the sequence method. Secondly, principal component analysis was conducted over original and derived indices of HRV, BPV and BRS data and the relevant principal components, Pciorig and Pcideri (I=1, 2, 3,...) were obtained. Finally, the equation for calculating cardiovascular age was obtained by multiple regression with the chronological age being assigned as the dependent variable and the principal components significantly related to age as the regressors. Results: The first four principal components of original indices accounted for over 90? of total variance of the indices, so did the first three principal components of derived indices. So, these seven principal components could reflect the information of cardiovascular autonomic regulation which was embodied in the 17 indices of HRV, BPV and BRS exactly with a minimal loss of information. Of the seven principal components, PC2orig, PC4orig and PC2deri were negatively correlated with the chronological age (P<0.05), whereas the PC3orig was positively correlated with the chronological age (P<0.01). The cardiovascular age thus calculated from the regression equation was significantly correlated with the chronological age among the 89 aviation personnel (r=0.73, P<0.01). Conclusion: The cardiovascular age calculated based on a multi-variate analysis of HRV, BPV and BRS could be regarded as a comprehensive indicator reflecting the age dependency of autonomic regulation of cardiovascular system in healthy aviation personnel
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