With the rapid development of e-Commerce and takeaway platforms,retailers have grad-ually developed multi-channel operations.However,limited empirical studies explored the effects of an online channel offered by takeaway platforms on the store performance
Bitcoin is the most famous and the most used cryptocurrency in the world,such that it has received extreme popularity in recent years.However the Bitcoin system is accompanied by different attacks,including the block withholding(BWH)attack.When a miner pl
The construction industry is one of the largest energy consumers in China.It not only uses energy directly but also consumes a large amount of embodied energy hidden in intermediate goods and services from other industries.This paper utilizes the multi-re
It is challenging to forecast foreign exchange rates due to the non-linear characters of the data.This paper applied a wavelet-based Elman neural network with the modified differential evolution algorithm to forecast foreign exchange rates.Elman neural ne
The economy of China has turned to the stage of high-quality development.In this sense,the connotation of regional innovation capacity should reflect more aspects,such as better economic ef-fectiveness,people-centered philosophy of development and better
In the era of big data,correlation analysis is significant because it can quickly detect the correlation between factors.And then,it has been received much attention.Due to the good properties of generality and equitability of the maximal information coef
Scholars have a variety of theoretical explanations for housing price growth.However,few scholars have studied the internal influence mechanism among urbanization,land finance,and housing price.Based on the data of 182 prefecture-level cities from 2009 to