On the number of mechanical configurations for nonlinear stiffness systems designed based on a linear spring with a nonlinear boundary

In this paper, we present a novel integrated method for designing nonlinear stiffness systems based on a general spring-boundary model (GSBM) to study the number of mechanical configurations for nonlinear stiffness systems designed by the combination of a linear spring with a nonlinear boundary. GSBM consists of a lumped mass, a special-shaped track, a roller rolling in the track and GLSM with either positive or negative stiffness. The integrated method considers pre-tensioned, pre-compressed and original length conditions of GLSM to design roller trajectories to customize nonlinear stiffness systems. It is proved that the mechanical configurations of nonlinear stiffness systems designed by the combination of a linear spring with a nonlinear boundary are not limited to one, but six or eight forms: for systems with nonnegative or nonpositive potential energy, there are six independent mechanical configurations, and for other systems, there are eight independent mechanical configurations.Comment: 10 pages,7 figures. arXiv admin note: substantial text overlap with arXiv:2303.0510

2017-19 Consumption Inequality in Urban China, 1995-2013

We use 1995, 2002 and 2013 CHIP data to investigate the urban household consumption expenditure inequality. The overall inequality of urban household consumption expenditure measured by Gini coefficient slightly decreases from 0.33 in 1995 to 0.32 in 2002, but increases to 0.36 in 2013, which follows the same trend with that of urban income but is severer. However, the percentile ratio of p90/p10 shows that consumption inequality increases all the time. Besides, the inequality of basic food consumption is much smaller than the overall consumption, its contribution to the overall consumption inequality decreases from 20% in 1995 and 2002 to 15% by 2013, and its share also decreases steadily from 34% in 1995 to 30% in 2002 and further to 24% in 2013, and finally its share steadily decreases as the overall consumption level moving up the distribution in each of the three years. The inequality of housing consumption is much larger than overall consumption but decreasing over time, its contribution to the overall consumption inequality increases 35% in earlier two years to 40% by 2013, and its share also sharply increases from 23% in 1995 to 30% in 2002 and further to 38% in 2013, besides its share shows upward sloping as overall consumption level increases in each of the three years

Therapeutic effect of co-administered salvianolate and atorvastatin calcium on coronary heart disease patients with angina pectoris, and their blood lipid levels

Purpose: To investigate the clinical effect of combination of salvianolate and atorvastatin on blood lipids of coronary heart disease patients with angina pectoris (CHD-AP).Method: Patients with CHD-AP (n = 104) from January 2016 to January 2017 were randomly assigned to two groups: control group treated with atorvastatin (10 mg/day), and study group was administered atorvastatin (10 mg/day, oral) plus salvianolate (200 mg/day in 5 % glucose, iv). Palpitation, chest distress, improvement in myocardial ischemia, myocardial function, and hemodynamics were determined and used to assess treatment effectiveness in the two groups. Differences in blood lipid profiles were also investigated.Results: Improvement in palpitation, chest distress, myocardial ischemia and myocardial function in the study group were significantly higher than in the control group (p < 0.05). In the study group, total cholesterol (TC), low density lipoprotein cholesterol (LDL-C) and triacylglycerols (TGs) significantly decreased, relative to the control group (p < 0.05).Conclusion: Treatment of CHD-AP patients with combination of salvianolate and atorvastatin significantly ameliorates coronary heart disease and angina pectoris, and also reduces their blood lipid levels.Keywords: Salvianolate, Atorvastatin, Coronary heart disease, Angina pectoris, Blood lipid

The effects of the state sector on wage inequality in urban China: 1988 - 2007

This paper examines the effects of state sector domination on wage inequality in urban China. Using Chinese Household Income Project surveys, we conduct two exercises: with quantile regression analysis, we identify wage gaps across the distribution and over time; and we employ the Machado and Mata (2005) decomposition to investigate how urban wage inequality was affected by the changes in wage structure and employment share of the state sector. We find that since the radical state sector reforms designed to reduce over-staffing and improve efficiency since the late 1990s, urban wage gaps were narrowed due to the reduction of employment share in the state sector; the wage premium of the state sector in comparison with the non-state sector increased significantly; and changes in the wage structure of the labour market caused the rise in urban wage inequality

Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting

Currently, single image inpainting has achieved promising results based on deep convolutional neural networks. However, inpainting on stereo images with missing regions has not been explored thoroughly, which is also a significant but different problem. One crucial requirement for stereo image inpainting is stereo consistency. To achieve it, we propose an Iterative Geometry-Aware Cross Guidance Network (IGGNet). The IGGNet contains two key ingredients, i.e., a Geometry-Aware Attention (GAA) module and an Iterative Cross Guidance (ICG) strategy. The GAA module relies on the epipolar geometry cues and learns the geometry-aware guidance from one view to another, which is beneficial to make the corresponding regions in two views consistent. However, learning guidance from co-existing missing regions is challenging. To address this issue, the ICG strategy is proposed, which can alternately narrow down the missing regions of the two views in an iterative manner. Experimental results demonstrate that our proposed network outperforms the latest stereo image inpainting model and state-of-the-art single image inpainting models.Comment: Accepted by IJCAI 202

Efficacy of traditional Chinese herbal medicine in the treatment of gastrointestinal polyps and chronic gastritis: A case report

Background: The rate of gastrointestinal adenomatous polyps, often regarded as precancerous lesions, developing into cancer is 40 – 70 %. Endoscopic resection has been the preferred method for treating gastric polyps since the late 1960s. Surgical removal of polyps continues to play an important role in the treatment of polyps; however, the efficacy of such treatment cannot be guaranteed, and polyps may recur.Case presentation: Here, we report a 44-year-old man suffering from gastrointestinal polyps who refused surgical treatment and instead was treated with traditional Chinese herbal medicine (TCHM) for approximately 1 year. The patient was diagnosed with “qi deficiency and dampness syndrome” based on traditional Chinese medicine theory and was treated with the TCHM “strengthen qi and remove dampness formula”, referred to as the shen-ling-bai-zhu powder/decoction.Conclusion: This case suggests that TCHM may play an important role in the treatment of gastrointestinal polyps. Relevant data are, however, limited and a randomized controlled trial is needed to confirm TCHM efficacy in a larger population.Keywords: Case study, Gastrointestinal polyps, Traditional Chinese herbal medicine, Shen-ling-bai-zhu powde

DUA-DA: Distillation-based Unbiased Alignment for Domain Adaptive Object Detection

Though feature-alignment based Domain Adaptive Object Detection (DAOD) have achieved remarkable progress, they ignore the source bias issue, i.e. the aligned features are more favorable towards the source domain, leading to a sub-optimal adaptation. Furthermore, the presence of domain shift between the source and target domains exacerbates the problem of inconsistent classification and localization in general detection pipelines. To overcome these challenges, we propose a novel Distillation-based Unbiased Alignment (DUA) framework for DAOD, which can distill the source features towards a more balanced position via a pre-trained teacher model during the training process, alleviating the problem of source bias effectively. In addition, we design a Target-Relevant Object Localization Network (TROLN), which can mine target-related knowledge to produce two classification-free metrics (IoU and centerness). Accordingly, we implement a Domain-aware Consistency Enhancing (DCE) strategy that utilizes these two metrics to further refine classification confidences, achieving a harmonization between classification and localization in cross-domain scenarios. Extensive experiments have been conducted to manifest the effectiveness of this method, which consistently improves the strong baseline by large margins, outperforming existing alignment-based works.Comment: 10pages,5 figure