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耐候钢角钢K形节点是输电铁塔中的重要节点，其受力性能直接影响耐候钢输电铁塔的承载能力。以输电塔角钢K形节点的试验数据为依据，通过增大有限元模型单元接触面摩擦系数以及螺栓与螺栓孔的间距来反映钢材的耐候钢电化学腐蚀特性。以能够与试验现象和试验数据拟合良好的有限元模型为基础，分析螺栓直径、螺栓间距、主角钢厚度、主角钢肢宽、偏心距和节点板厚度的变化对耐候钢角钢K形节点抗弯性能的影响。研究结果表明：螺栓直径和螺栓间距对节点抗弯性能的影响最大，与螺栓直径为16 mm时相比，螺栓直径为18 mm、20 mm和22 mm时节点承载力的增幅分别为28%、52%和64%；与螺栓间距为70 mm时相比，螺栓间距为80 mm、90 mm和100 mm时节点承载力的增幅分别为8.46%、17.85%和34.28%。主角钢厚度和主角钢肢宽对节点抗弯性能影响有限，偏心距和节点板厚度对节点抗弯性能影响不大。

在自发性脑出血所致原发性损伤的最佳治疗方法尚存争议的情况下，继发性脑损伤带来的影响越来越得到重视。继发性脑损伤是自发性脑出血后必然发生的病理生理过程，诸多研究表明继发性脑损伤对预后有着显著影响。影像学手段是临床研究中用于评估继发性脑损伤最常用的手段，不同的影像学方法均可对明确继发性脑损伤与预后的关系提供一定帮助。本文对继发性脑损伤各种影像学评估方法的研究现状展开综述，希望从中获取继发性脑损伤准确预测方法的新思路。 Abstract: When the best therapy for primary injury caused by spontaneous intracerebral hemorrhage is still controversial, the impact of secondary brain injury has been paid more and more attention. Secondary brain injury is an inevitable pathophysiological process after spontaneous intracerebral hemorrhage. Many studies have shown that secondary brain injury has a significant impact on the prognosis. Imaging is the most commonly used method to evaluate secondary brain injury in clinical research. Different imaging techniques are helpful in determining the relationship between secondary brain injury and the prognosis. Therefore, this paper reviewed the research status of various image methods in evaluating secondary brain injury.

多年来一直在使用的船舶自动识别系统（AIS）作为一种海上监视和导航的通信系统,其服务范围被限制在40海里。近年来,一种新的基于卫星的AIS被提出,该系统能提供全球覆盖服务,然而其存在由相对卫星/船舶运动引起的频率偏移问题。为了更好地解决这一问题,文章提出了一种新的基于多普勒频移估计算法的星载多普勒频移估计算法,利用二阶矩阵及四阶矩阵等代数运算,从信号中提取多普勒频移,并给出了估计表达式。最后,通过数值仿真验证了该算法的有效性,仿真结果还验证了该算法的优越性。

往复力矩转化为单向力矩的齿轮力转化机构是齿轮传动往返活塞动力机的关键技术。用CAXA电子图板（企业版）进行动力模型的模拟、处理和运动学仿真分析,对啮出轮齿的齿顶修形或附加啮入轮齿的齿顶修形,可创造防咬距离、防止轮齿冲撞、确定活塞行程,完全满足齿轮力转化机构的强度和重合度要求,在技术上支持往返活塞内燃机的实施。

文章采用有限元法研究了圆形和椭圆形两种变形对称双脊波导对传输特性的影响。计算了脊的尺寸变化时的截止波长和单模带宽,给出了主模场结构图以及变形对截止波长和单模带宽影响的关系曲线,并分析了传输特性随对称脊波导结构尺寸变化的情况。通过这些研究,能够为变形双脊波导的应用和研究提供有价值的参考。

Copyright of Journal of Modern Medicine & Health is the property of Journal of Modern Medicine & Health and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Objective To evaluate the consistency between Kyoto classification scoring of gastritis and modified Kyoto classification scoring of gastritis in directly determining Helicobacter pylori (Hp) infection under white light endoscopy by endoscopists with 13C- urea breath test, and to clarify the clinical application value of the modified Kyoto classification scoring of gastritis. Methods Digestive endoscopists in a county hospital in Chongqing received special training on the Kyoto classification of gastritis. Patients who underwent both the upper gastrointestinal endoscopy and 13C- urea breath test within one week were screened. At the same time, the Kyoto classification scoring of gastritis and the modified Kyoto classification scoring of gastritis were used to score the endoscopic gastrie mucosa characteristics of the target population. The total score was calculated and compared with the 13C- urea breath test. Results A total of 1 342 patients were included in the study. The sensitivity of the Kyoto classification scoring of gastritis and the modified Kyoto classification scoring of gastritis for the diagnosis of Hp infection under white light endoscopy were 74.03% and 90.70%, the specificity was 95.85% and 95.39%, and the positive predictive values were 80.93% and 82.39%, the negative predictive values were 93.94% and 97.73%, respectively. The sensitivity, negative predictive value and AUC of the modified Kyoto classification scoring of gastritis in the diagnosis of Hp infection under white light endoscopy had statistical significance compared with the Kyoto classification scoring of gastritis (all P < 0.01).Conclusion For endoscopists receiving special training for Kyoto classification of gastritis, the modified Kyoto classification scoring of gastritis yields high diagnostic consistency in directly determining Hp infection under white light endoscopy. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Medical zirconia ceramic (Y-TZP) is a good dental restoration material. To obtain good dental restoration performance, high manufacturing accuracy, especially surface roughness, is required. However, it is a hard, brittle material, which is difficult to machine. To improve the surface quality and processing efficiency of medical zirconia ceramic grinding, correlation analysis is conducted on the frequency bands of acoustic emission signals during the grinding process of medical zirconia ceramic. Twelve sets of characteristic values strongly related to grinding surface roughness in the sensitive frequency band signals of 840—850 kHz are extracted, and a random forest neural network with high prediction accuracy is constructed. Finally, medical zirconia ceramic grinding surface roughness is obtained. The maximum relative error of acoustic emission prediction is less than 8.37%, and the research results have great reference value for intelligent online monitoring of surface roughness in medical zirconia ceramic grinding. [ABSTRACT FROM AUTHOR]

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To address the problems of stock price prediction due to its non-static, highly complex and random fluctuations, a combination model based on Variational Mode Decomposition (VMD)-Circle Sparrow Search Algorithm (CSSA)-Long Short-Term Memory (LSTM) neural network is established. The original stock closing data is decomposed into several Intrinsic Mode Function (IMF) components by VMD, and then the CSSA is used to optimize the parameters of hidden layer neurons, iteration number and learning rate of LSTM, and the optimal parameters are fitted into the LSTM, where each IMF component is modeled and predicted, and the prediction results of IMF component are superimposed to obtain the final result. Experiments show that the RMSE,MAE and MAPE of the proposed model are minimized on multiple stock datasets, the error of the predictied closing prices of individual stocks fluctuates around 0,which is more stable with better fitting and higher accuracy. [ABSTRACT FROM AUTHOR]