Publish in OALib Journal
APC: Only $99
Objective: We explored the relationship between traditional Chinese constitution and risk factors for cardiovascular disease in
subjects with high-normal blood pressure (BP). Methods: The traditional Chinese
constitution of 80 subjects with high-normal BP was judged by questionnaires
and interviews. Measurements of cardiovascular and metabolic health in- cluded
BP, body weight, body mass index (BMI), low-density lipoprotein cholesterol
(LDL-C), 2-hour oral glucose tolerance test (OGTT2h), and waist cir- cumference.
Statistical relationships between cardiovascular
disease risk factors and specific Chinese constitution were evaluated
by univariate and multivariate analyses. Results: Ping He, Tan Shi, and Yin
Xu were the dominant constitutions in subjects with high-normal blood pressure.
There were significant differences in weight, LDL-C, BMI, OGTT2h, and waist
circumference between Tan Shi and Ping He (P < 0.01), in SBP and OGTT2h between Yin Xu and Ping He (P < 0.05), and weight, BMI, waist circumference, SBP, and
LDL-C between Tan Shi and Yin Xu constitutions (P < 0.01). Logistic regression found a strong association
between the Tan Shi constitution and LDL-C in subjects with high-normal blood
pressure. Conclusion: Ping
He, Tan Shi, and Yin Xu are the principle traditional Chinese constitutions in
subject with high-normal blood pressure. The Tan Shi constitution is
associated with multiple risk factors for cardiovascular disease (LDL-C, BMI,
body weight, and waist circumference), while OGTT2h is closely related to the
Yin Xu constitution.
Sub-critical water extraction is a brand-new separation technology. This paper mainly discussed the principle, advantages of sub-critical water extraction, and its applications ranging from the medicinal plants traditionally used in Europe and Asia to produce pharmaceutical extracts (such as volatile oil, tannins, flavonoids, anthraquinone, lactone, etc.). Meanwhile, the prospect of sub-critical water extraction in plant extractives is also explored. It will be widely used in the field of medical plants, bringing huge economic benefits, environmental benefits and social benefits.
The performance of classic
Mel-frequency cepstral coefficients (MFCC) is unsatisfactory in noisy
environment with different sound sources from nature. In this paper, a
classification approach of the ecological environmental sounds using the double-level energy detection
(DED) was presented. The DED was used to detect the existence of the sound
signals under noise conditions. In addition, MFCC features from the frames
which were detected the presence of the sound signals by DED were extracted.
Experimental results show that the proposed technology has better noise immunity than classic MFCC, and also
outperforms time-domain energy detection (TED) and frequency-domain energy detection (FED) respectively.