Advanced strain engineering for state-of-the-art nanoscale CMOS technology SCIENCE CHINA Information Sciences 54, 946 (2011); The state-of-the-art of the China Seismo-Electromagnetic Satellite mission

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Background: Heart sound auscultation, due to it being a non-invasive, convenient, and relatively low-cost technique, remains the dominant method for detection of cardiovascular disease. Methods:In this paper, we present a method for identifying abnormal heart sounds based on a novel Dense Feature Selection Convolution Network framework (Dense-FSNet). The Dense-FSNet is comprised of multiple, circular dense connectivity modules, called Clique Blocks. These Clique Blocks can allow lowlevel and high-level features to stimulate each other for cyclic updates, which subsequently enhances the information flow among layers. Inspired by the channel-wise attention mechanism from Squeeze-and-Excitation Networks (SENet), we adopted squeeze-and-excitation block to avoid the progressive growth of parameters. The effect of the model was assessed using the accuracy, specificity, sensitivity, and area under the curve (AUC) values. To improve model performance, in addition to the structures mentioned above, we incorporated a multi-scale attention mechanism into our framework.Results: Using this attention mechanism, our model was able to achieve adaptively spatial feature fusion by adjusting a hyper-feature that contains higher level visual information and lower-level features including edge details and context information. It is worth noting that data balance technology was also used in the process of building the model, and notable results have been achieved.Conclusions: Experience using the PhysioNet/CinC 2016 dataset shows that our proposed Dense-FSNet models achieve state of the art levels in the classification and detection of abnormal heart sounds.

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Under the background of economic globalization, China's economy has developed rapidly. Small and medium-sized enterprises occupy a growing proportion in the Chinese economy, and make a great contribution to the national economic development and people's livelihood employment. However, due to their small scale and other reasons, they are faced with the major problem of difficult and expensive financing in the process of development. This paper takes financing as the entry point, selects the data of China's small and medium-sized board listed companies from 2017 to 2022, and empirically confirms that financing constraints have a significant negative impact on the performance of small and medium-sized enterprises. At the same time, it analyzes the causes of financing difficulties and the social impact of financing difficulties. In view of the specific problems in financing by referring to the corresponding policies of the United States and Japan, this paper puts forward some suggestions and measures.