1.EFFECTS OF DAIDZEIN ON THE ENZYMES OF BONE METABOLISM AND BONE REBUILDING IN OVARIECTOMIZED RATS
Mei GAO ; Bangquan JIN ; Yi ZHANG ; Chen LIU
Acta Nutrimenta Sinica 1956;0(02):-
Obejective To study the effect of daidzein(Daid) on the enzymes of bone metabolism and bone rebuilding in ovariectomized rats.Method Sixty 3-mon female SD rats were divided into 6 groups:Sham,OVX,OVX-D1~D4 groups.Every day the rats in Sham and OVX groups were given distilled water,and the rats in OVX-D1,OVX-D2,OVX-D3,OVX-D4 groups were given 25,50,75,100 mg/kg bw Daid respectively.After 6 mon,all of rats were killed,and the blood,liver and femur were collected.The content of calcium and phosphorus in serum and the enzymes of bone metabolism were measured.Results The content of calcium,phosphorus and ATPase in serum was increased,but the activity of serum alkaline phosphatase(ALP) and tartrate-resistant acid phosphatase(TRAP-5b) was decreased dose-dependently in OVX-D groups compared with OVX group.Conclusion The expression of bone metabolism-associated enzymes could be inhibited,which resulted in inhibition of bone formation and absorbsion in ovariectomized rats.The new balance between bone formation and absorption could be rebuilt by Daid,through the mechanism of decreasing rate of bone conversion.
2.Neisseria gonorrhoeae in Male Urinary Secretion by Four Methods:A Comparison of Their Results
Bangquan AN ; Zhaolin SUN ; Xiaowu LING ; Shuihe LIU ; Hongmei LI ; Xiangrong LUO
Chinese Journal of Nosocomiology 2005;0(11):-
0.05).Compared to cultivation whose positive rate was 33.33%,the rates were obvious higher(P
3.Investigation of leucorrhea routine examination methods and quality control of 97 clinical laboratories in Guizhou Province
Xiaowu LING ; Bangquan AN ; Xianghong ZHOU ; Shengwen HUANG ; Wei WANG ; Li SU ; Sha LIU ; Yongde TAO ; Xianwei ZHOU ; Wencai YANG ; Shanshu FU ; Yukun LUO
Chinese Journal of Laboratory Medicine 2015;(3):199-202
Objective To investigate the methods and internal quality control ( IQC ) leucorrhea routine examinationin clinical laboratories of medical institutions in Guizhou Province.Methods In 2009, 97 clinical laboratories were randomly selected for the first investigation.At the same time, staffs in theinvestigated laboratories were educated on the importance of IQC.The second investigation of the same items was carried out in 2011 inthe same laboratories.The results of the two investigations were analyzed byChi-square test.Results 2009 and 2011 numbers of laboratories thoseonly used normal saline suspension method for leucorrhea examination were 17and 16 (χ2 =0.037, P >0.05 ) respectively, used bothnormal saline and 10%KOH suspension methodswere 16and 2(χ2 =12.003,P<0.01), used staining method were 64and 79(χ2 =5.488,P<0.05), both used suspension and staining methods were 60and 73(χ2 =4.041, P<0.05), used normal salinesuspension method combined with Wright stain and Gram staining methods were3and 28(χ2 =23.996,P<0.01) respectively.Numbers of Laboratoriespracticing IQC were 2and 88in 2009 and 2011 respectivly(χ2 =153.293,P <0.01).Conclusions Currently, the most common used method for leucorrhea routine examination is suspension.Through the investigations and education, the quality ofleucorrhea routine examination was improved in Guizhou Province.
4.CT and MRI fusion based on generative adversarial network and convolutional neural networks under image enhancement.
Yunpeng LIU ; Jin LI ; Yu WANG ; Wenli CAI ; Fei CHEN ; Wenjie LIU ; Xianhao MAO ; Kaifeng GAN ; Renfang WANG ; Dechao SUN ; Hong QIU ; Bangquan LIU
Journal of Biomedical Engineering 2023;40(2):208-216
Aiming at the problems of missing important features, inconspicuous details and unclear textures in the fusion of multimodal medical images, this paper proposes a method of computed tomography (CT) image and magnetic resonance imaging (MRI) image fusion using generative adversarial network (GAN) and convolutional neural network (CNN) under image enhancement. The generator aimed at high-frequency feature images and used double discriminators to target the fusion images after inverse transform; Then high-frequency feature images were fused by trained GAN model, and low-frequency feature images were fused by CNN pre-training model based on transfer learning. Experimental results showed that, compared with the current advanced fusion algorithm, the proposed method had more abundant texture details and clearer contour edge information in subjective representation. In the evaluation of objective indicators, Q AB/F, information entropy (IE), spatial frequency (SF), structural similarity (SSIM), mutual information (MI) and visual information fidelity for fusion (VIFF) were 2.0%, 6.3%, 7.0%, 5.5%, 9.0% and 3.3% higher than the best test results, respectively. The fused image can be effectively applied to medical diagnosis to further improve the diagnostic efficiency.
Image Processing, Computer-Assisted/methods*
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Neural Networks, Computer
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Tomography, X-Ray Computed
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Magnetic Resonance Imaging/methods*
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Algorithms