Infrasound Event Classification Fusion Model Based on Multiscale SE-CNN and BiLSTM

The classification of infrasound events has considerable importance in improving the capability to identify the types of natural disasters.The traditional infrasound classification mainly relies on machine learning algorithms after artificial feature extraction.However,guaranteeing the effectiveness of the extracted features is difficult.The current trend focuses on using a convolution neural network to automatically extract features for classification.This method can be used to extract signal spatial features automatically through a convolution kernel;however,infrasound signals contain not only spatial information but also temporal information when used as a time series.These extracted temporal features are also crucial.If only a convolution neural network is used,then the time dependence of the infrasound sequence will be missed.Using long short-term memory networks can compensate for the missing time-series features but induces spatial feature information loss of the infrasound signal.A multiscale squeeze excitation–convolution neural network–bidirectional long short-term memory network infrasound event classification fusion model is proposed in this study to address these problems.This model automatically extracted temporal and spatial features,adaptively selected features,and also realized the fusion of the two types of features.Experimental results showed that the classification accuracy of the model was more than 98%,thus verifying the effectiveness and superiority of the proposed model.

月经先后无定期

海南万宁市读者钟某来信说:16岁月经来潮,今年21岁,但患月经病已近三年。主要症状是月经来潮不规律,经期长(最长一次近30天),经量多,色黑,上次月经到下次月经间隔最长达4个月。消瘦,体毛粗黑。请问是否为卵巢囊肿所致,该如何诊治。

A Lightweight Temporal Convolutional Network for Human Motion Prediction

A lightweight multi-layer residual temporal convolutional network model(RTCN)is proposed to target the highly complex kinematics and temporal correlation of human motion.RTCN uses 1-D convolution to efficiently obtain the spatial structure information of human motion and extract the correlation in the time series of human motion.The residual structure is applied to the proposed network model to alleviate the problem of gradient disappearance in the deep network.Experiments on the Human 3.6M dataset demonstrate that the proposed method effectively reduces the errors of motion prediction compared with previous methods,especially of long-term prediction.

Analytical Absorption Cross-Section for Photon by a Hydrogen 2s Atom

We calculate the absorption cross-section for photon by a hydrogen 2s atom using the quantum-classical approximation for the total photo cross-section of many electron atoms. With the application of the first-order term of the Baker Hausdorf expansion, the absorption cross-section for the hydrogen 2s atom decreases to a minimum, the Cooper paJr minimum, at low photon energy. Such a minimum is absent in the exact absorption cross-section for photon by a hydrogen 2s atom. We have extended the calculation for the absorption cross-section of the hydrogen 2s atom using the quantum-classical approximation for the total photo cross-section of many electron to include the second-order term of the Baker-Hausdorf expansion and observed a great reduction in the dip associated with the Cooper pair minimum at the zero crossing.

Possibilities and Contradictions of Nanotechnology Applications in Preventive Activities Insurer

One effective and proven tool for managing risk is insurance. At the same time, insurers, reinsurers, insurance, and reinsurance brokers in search of the relevant value of their services in the eyes of insured and long-term benefits are increasingly paying attention to the possibilities of nanotechnology. On one hand, insurers see unlimited possibilities of nanotechnology in preventive and repressive activity in relation to losses. The obstacle in this case, for high-tech companies, is stiff competition from companies which are not innovation leaders, but with the necessary influence and power at the international and national market. On the other hand, understanding the reasons for the application of nanotechnology in the conflict prevention activities of the insurer allows him to develop and implement a more flexible strategy for sustainable development of the business.

Longevity,Capital Formation and Economic Development

Many researchers have concluded that longer life expectancies prompt increased investment in education,as a prolonged labor supply raises the rate of return on education.Besides explaining the empirical evidence behind this conclusion(at an absolute level),there is another issue to be discussed:does time spent studying and working increase proportionally with higher longevity? Building on an extended life-cycle model,this paper shows that prolonged life expectancy will cause individuals to increase their time in education but may not warrant rises in labor input.Later we show that higher improvement rate of longevity rather than initial life expectancy will promote economic growth,even we exclude the mechanism of human capital formation,and only consider growth effects of higher improvement rate of life expectancy from physical capital investment.

China＇s Economic Growth Cycles over the Past 60 Years and the Current New Cycle

This paper first summarizes China＇s economic growth rate fluctuations over the past 60 years since 1949 and examines the new developments in China＇s economic structure behind these fluctuations since reform and opening-up in the late 1970s.In tackling the global financial crisis,China is embracing a new economic cycle and must draw upon its economic history to prolong the upward momentum in the new cycle.To do so means maintaining an appropriate growth rate in the new cycle.This paper also analyzes the importance urbanization and the housing sector will play in the new cycle and how to address rising housing prices.

The analysis of the rural cooperative finance characteristic

The paper set off from the nature characteristics of rural cooperation finance, analyzing the finance cooperation in our rural areas. It points out that the supporting strength is difficult to maintain the need of simple reproduction, disturbing the consistence between the intense need of the important peasant household and the market-oriented development of enterprise produce What is more, and functional cultivating becomes reverse circulation, forming shoulders adjustment mechanism in the majority of our rural areas. In the long run, if we want to break the influence of the long-term effect of dual economy between urban and rural areas, plan the development of urban and rural as a whole, build socialism new rural area, the key is to comply with the principle ＂root in rural area, originally in the peasant, quality in cooperation ＂, build and perfect the serve system of rural cooperation finance.

Daily heart rate variability of Paralympic gold medallist swimmers： A 17-week investigation

Objectives： Heart rate variability （HRV） can be a simple, non-invasive method of gauging cardiac autonomic nervous system fluctuations across periodised training workloads and taper in elite athlete populations. The purpose of these three case studies was to examine daily cardiac autonomic variations in Paralympic athletes leading in to the Paralympic games. Methods： Three Paralympie gold medallist swimmers were monitored daily for their resting HRV over a 17-week monitoring period leading up to the Paralympic games. Specific time- and frequency-domain measures, along with non-linear indices of HRV were calculated for all analyses. All HRV data were analysed individually using daily values, weekly average values, and average values for rest and training phases. Results： A significant difference in HRV was seen for all variables between athlete 1 and athletes 2 and 3 （amputee disabilities） during the entire monitoring period. Conclusion： Despite minimal long-term changes, both swimming classification and disability type significantly influence HRV during athlete monitoring. An increased understanding of individual responses to training, travel, and other outside influences affecting Paralympic athletes could potentially lead to improved management and monitoring of training workloads for enhanced nerformance.

The long-term impact on the Chinese economy of an aging population

Rapid fertility decline and rising life expectancy are leading to a fast and profound aging of China＇s population. This paper will attempt to analyze the long-term economic impact of population aging. After discussing its impact on employment, domestic consumption, social security programs and public finance, rural-urban migration and urbanization, the Chinese economy＇s comparative advantage in international markets and structural change in industry, we suggest alternative policies of gradually relaxing the fertility control policy, assigning higher priority to the development of human capital, raising the compulsory retirement age, and improving the equity and efficiency of social security programs.

Construction and Analysis of Common Foreign Trade Cycle Based on MS-VAR:An Empirical Study of Global Experience

This paper proves the co-movement of foreign trade in different countries or areas which belong to ten economic regions by MS-VAR model.The studies show that trade crisis lags behind economic crisis and spreads from the core of the economic crisis to its periphery which is closely-related with it.The trade crisis corresponding to the US subprime crisis spreads faster than before,which has struck worldwide foreign trade.In order to get the main factors affecting trade crisis,the authors construct composite indices which are proxies of economic growth and price levels of internal and external regions.The results of logistic and linear panel models show that economic growth affects more to trade cycle than price level.The results of panel models with dummy variable of trade crisis show that the outside economic growth do bad to the recovery of internal foreign trade during trade crisis corresponding to Mexican peso crisis,the Asian financial crisis and the Russian debt crisis,while the opposite is true during the internet bubble burst and the US subprime crisis.

Early stages of non-classic crystal growth

Investigation of early stages of crystal growth revealed that crystal growth in some systems may not follow the classic route.In the early stages of inorganic crystal growth,precursor molecules and/or nanocrystallites may aggregate into large and disordered particles with the assistance of some polymers or biomolecules.Surface crystallization of these aggregates would then take place to form shells with high crystallinity and density,followed by an extension of the crystallization from surface to core.This so-called reversed crystal growth mechanism has been found in crystallization of several inorganic compounds including zeolites,perovskites,metals and metal oxides,and will be identified in more material systems.The establishment of this new crystal growth route gave us more freedom to control the morphology of crystals and to understand the formation mechanism of many natural minerals.This article gives a brief review of the recent research in this field by featuring some typical examples of the reversed crystal growth.