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| 1 | Protein and RNA expression of acid-sensing ion channels 2 and 3 in myocardial ischemia rats induced by isoproterenol显示文摘OBJECTIVE:To investigate the impact of electro-acupuncture at the Neiguan(PC 6) acupoint on protein and RNA expression of acid-sensing ion channel 2(ASIC2) and ASIC3 in myocardial ischemia rats.METHODS:Fifty male Sprague-Dawley rats were used,weighing(230 ± 50) g.The rats were randomized into a normal group A,model group B,Neiguan(PC 6) group C,Lieque(LU 7) group D,and A-shi points group E.There were 10 rats in each group.Rats were continuously administered 85 mg/kg intravenous isoproterenol daily to establish the model.Successfully modeled rats in groups C,D,and E were given electro-acupuncture treatment.Each group of rats was sacrificed with chloral hydrate(1 mL/100 g) intraperitoneal injection.The left ventricular myocardium was extracted and placed at- 70 ℃ until use.Western blot analysis and real-time PCR were performed to assay protein and RNA expressions of ASIC2 and ASIC3,respectively.Fold changes in RNA expression were quantified with the 2~^(-△△Ct) method.Blood samples were drawn from the aorta abdominalis and tested for creatine kinase-MB(CK-MB) and lactate dehydrogenase(LDH) levels using enzyme-linked immunosorbent assay.RESULTS:Myocardial ischemia rats given electro-acupuncture at the Neiguan(PC 6) acupoint had significantly lower protein and RNA expression of ASIC2 and ASIC3,and CK-MB and LDH levels,compared with model rats(P < 0.01).CONCLUSION:Electro-acupuncture at the Neiguan(PC 6) acupoint can not only decrease the protein and RNA expression of ASIC2 and ASIC3,but also inhibit the opening of ASICs and reduce the cardiomyocyte damage in myocardial ischemia rats. | Wang Shudong Zhang Lide Dong Baoqiang Zhang Wenshun Ho Chin Ee Guo Na Chen Yiguo | 2015 | Journal of Traditional Chinese Medicine2015，35，2： | 2 |
| 2 | Faster RCNN Target Detection Algorithm Integrating CBAM and FPN显示文摘Small targets and occluded targets will inevitably appear in the image during the shooting process due to the influence of angle,distance,complex scene,illumination intensity,and other factors.These targets have few effective pixels,few features,and no apparent features,which makes extracting their efficient features difficult and easily leads to false detection,missed detection,and repeated detection,affecting the performance of target detection models.An improved faster region convolutional neural network(RCNN)algorithm(CF-RCNN)integrating convolutional block attention module(CBAM)and feature pyramid networks(FPN)is proposed to improve the detection and recognition accuracy of small-size objects,occluded or truncated objects in complex scenes.Firstly,the CBAM mechanism is integrated into the feature extraction network to improve the detection ability of occluded or truncated objects.Secondly,the FPN-featured pyramid structure is introduced to obtain high-resolution and vital semantic data to enhance the detection effect of small-size objects.The experimental results show that the mean average precision of target detection of the improved algorithm on PASCAL VOC2012 is improved to 76.1%,which is 13.8 percentage points higher than that of the commonly used Faster RCNN and other algorithms.Furthermore,it is better than the commonly used small sample target detection algorithm. | Wenshun Sheng Xiongfeng Yu Jiayan Lin Xin Chen | 2023 | Computer Systems Science & Engineering2023，47，11： | 1 |
| 3 | Numerical Simulation of Two-Phase Flow in Glutenite Reservoirs for Optimized Deployment in Horizontal Wells显示文摘It is known that the pore media characteristics of glutenite reservoirs are different from those of conventional sandstone reservoirs.Low reservoir permeability and naturally developed microfractures make water injection in this kind of reservoir very difficult.In this study,new exploitation methods are explored.Using a real glutenite reservoir as a basis,a three-dimensional fine geological model is elaborated.Then,combining the model with reservoir performance information,and through a historical fitting analysis,the saturation abundance distribution of remaining oil in the reservoir is determined.It is shown that,using this information,predictions can be made about whether the considered reservoir is suitable for horizontal well fracturing or not.The direction,well length,well spacing and productivity of horizontal well are also obtained. | Yuhui Zhou Shichang Ju Qijun Lyu Hongfei Chen Xuebiao Du Aiping Zheng Wenshun Chen Ning Li | 2023 | Fluid Dynamics & Materials Processing2023，19，1： | 0 |
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