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Heart murmur recognition and classification play an important role in the auscultative diagnosis. The method based on hidden markov model (HMM) was presented to recognize the heart murmur. The murmur was isolated on basis of the principle of wavelet analysis considering the time-frequency characteristics of the heart murmur. This method uses Mel frequency cepstral coefficient (MFCC) to extract representative features and develops hidden Markov model (HMM) for signal classification. The result shows that this method is able to recognize the murmur efficiently and superior to BP neural network (94.2% vs 82.8%). And the findings suggest that the method may have the potential to be used to assist doctors for a more objective diagnosis.
Objective: To investigate the correlation between radiation dose and radiation risk when patients are scanned by 64-slice spiral CT. Materials and Methods: SPSS 17.0 is used statistically for analyzing the patient’s scanning parameters, radiation dose of monitoring and examining the patients who are scanning of their abdomen, chest and pelvic in our affiliated hospital. Results: SPSS statistical analysis shows that the factor related to radiation dose is scanning layer; the basic characteristics such as height and heart rate don’t affect the patient’s scan dose directly. Conclusion: Increasing the delay time after injection can reduce the scan numbers and monitoring layers of the machine, thus reduce the patient’s radiation dose and tube’s exposure time.
To understand the mechanism of benzothiadiazole (BTH)-induced susceptible rubber clone resistance to powdery mildew on gene level, a differentially expressed cDNA library was constructed by suppression subtractive hybridization (SSH) with rubber Reyan 7-33-97 clone. The constructed cDNA library was high integrity through detection of the critical processes of SSH, such as efficiency of adaptor connection, subtraction and conversion, as well as the type of recombinant genes. The positive rate was 99% after identification with random 400 white spots. The size of the cDNA clone inserted fragments was various but most in 400 bp - 1000 bp. There were 23 cDNA sequences matching the function of energy and basic metabolism, signal transduction, membrane and transport, secondary metabolism and so on after detection of the 42 positive clone sequences selected randomly from the cDNA library and comparison on nucleic acid sequences in Genbank. 7 ESTs were logged in Genbank and accession numbers were GW873071 and GW874604- GW874610. The results implicated that BTH could effectively induced rubber tree resistance to powdery mildew through increasing expresses of defense-related genes in leaves of rubber tree susceptible clone. It should provide a new approach for rubber disease management.
Techniques of geostatistics are used
to perform traditional statistical analysis and spatial structural analysis
with ArcGIS, geostatistical software GS+ and statistical software SPSS in order
to obtain the knowledge of characteristics of distribution and spatial
variability of soil nutrients in different parts of Zhongxiang, Hubei Province.
Some skewed values appeared during the analyses. To decrease the influence of
those skewed values, domain processing and Box-Cox transformation were used.
The results indicated spatial variability of Total N, Avail. P, rapidly-available
potassium (R-Avail. K) and effective zinc (Effect. Zn) was strong, that of
organic carbon (Org.
C), effective molybdenum (Effect. Mo) and effective copper (Effect. Cu) was
medium while that of others was weak. Fitted model of Total N, R-Avail. K and Effect.
Mo was spherical model, that of Org. C and Effect. Zn was exponential model,
while fitted model of Avail. P and Effect. Cu was Gaussian model. Ratio of
variability caused by random factors to overall variability was large. What’s more, the ranges of spatial
autocorrelation of soil nutrients had much difference. The smallest value was
3600 m in Effect. Zn
while the largest was 77970 m in Org. C. Other characteristics were also included. The study is
helpful to soil sampling design, to make people realize the influence of Han River
to spatial variability of soil nutrients in this area, and to spatial
interpolation and mapping.