Control efficacy of complex networks

Acknowledgements W.-X.W. was supported by CNNSF under Grant No. 61573064, and No. 61074116 the Fundamental Research Funds for the Central Universities and Beijing Nova Programme, China. Y.-C.L. was supported by ARO under Grant W911NF-14-1-0504.Peer reviewedPublisher PD

Empirical Analysis of Shanghai Stock Exchange Index Based on ARMIA Model and Neural Network Model

 Stocks are an important part of the national economy. With the increase of liquidity in people's hands, more and more people choose to enter the stock market. In stock investment, accurate prediction of stock price index is not only of great significance to investors, but also of promoting the development of my country's stock market. It even has an important role in accelerating my country's economic development. The paper chose the ARIMA method based on linear technology for time series forecasting and the NN model that is good at mining the implicit nonlinear relationship in the data to compare the China Sea Securities Composite Index from January 21, 2020 to December 31, 2020. Empirical analysis of closing prices and short-term forecasts are made

Recognition and Classification of Ancient Dwellings based on Elastic Grid and GLCM

Rectangle algorithm is designed to extract ancient dwellings from village satellite images according to their pixel features and shape features. For these unrecognized objects, we need to distinguish them by further extracting texture features of them. In order to get standardized sample, three pre-process operations including rotating operation, scaling operation, and clipping operation are designed to unify their sizes and directions

A Study on the Classification and the ‘Catching’ of the ‘Arrived Qi’ in Acupuncture

AbstractThis essay studies the phenomenon of ‘obtaining of qi’ in acupuncture. Combined with clinical practice, the authors think that it was a habitual misunderstanding in the past to equate ‘needling sensation’ to ‘obtaining of qi’ in acupuncture practice. The two concepts are different and are related with each other. The authors have also classified the phenomenon of ‘obtaining of qi’ according to its depth in the skin layer. Based on the research achievements in neuroscience, the authors propose the study on ‘catching’ the specific cerebrations, so as to reveal the essence of ‘obtaining of qi’

Understanding the role of social situations on continuance participation intention in online communities: an empirical perspective

In recent years, the mushrooming development of Online Communities (OCs) has ushered a new paradigm of research for organizational sustainability in IS. In essence, the growth and survival of an online community relies predominantly on the continuous participation of its members. Given that the emergence of OCs may decay or even diminish due to the lack of consistent involvement of members, it is of paramount importance to fathom how to retain and entice members of OCs in terms of their continuous participation in the online platform. Extant studies have focused mostly on personal belief constructs and subjective norm constructs to study users' continuous behavior. However, the important role of social situations has not been sufficiently explored and investigated in IS, particularly in the emerging context of OCs. Drawing on the Triandis model, this study proposes a research model incorporating social situations as the moderator on the continuance participation intention in OCs. We collected data from two large OCs to examine whether congruence exists between situation perceptions and situation reactions. The empirical results show that social situations play an important role in determining the strength of the relationships between affect, social factors, and perceived consequences and the continuance intention in OCs