A Literature Review on “Non- Marriage”: A Global Comparative Perspective

This paper presents a comprehensive analysis and comparison of the existing literature on the phenomenon of non-marriage or staying unmarried in Asian countries such as China,Japan,South Korea,and Singapore,as well as European and American countries such as Spain and the US,and explores the trends,characteristics as well as reasons behind such a phenomenon.Through analysis,the present study found that there is a growing trend of postponed marriage and parenthood as well as an increasing proportion of individuals who exhibit no enthusiasm towards matrimony or parenthood in the aforementioned countries.To some extent,non-marriage or postponed marriage has become a prevalent trend in developed countries and even some developing countries.Japan,South Korea,and several developed countries in Europe and America have exhibited this phenomenon since the middle to late 20th century,with a relatively long history.The emergence of this phenomenon in China,Malaysia,the Philippines,and other developing countries in Asia,however,was relatively late,exhibiting a gradual development process.The current marriage landscape in China is characterized by a growing number of non-marriage individuals and a significant level of marital stability.In terms of reasons for staying unmarried,the marriage rates in the aforementioned countries can be attributed to various factors at macro,meso,and micro levels.In China,the phenomenon of non-marriage is closely associated with a range of factors,including diverse values and attitudes towards romance and marriage,marriage squeeze,education expansion,and the rise in females’economic and social status.The emphasis in future research should be placed on predicting the phenomenon of non-marriage,with a specific focus on exploring the reasons for advocating non-marriage,examining the internal mechanisms underlying this phenomenon,analyzing the consequences of non-marriage,and proposing corresponding countermeasures while establishing the public identity towards marriage.

The Impact of E-commerce on Consumer Purchasing Behavior for the Coronavirus Disease (COVID-19)

The purpose of this study is to evaluate how COVID-19 is changing consumer behavior and how it is changing e-commerce trends.This study has been conducted through a qualitative approach.The Coronavirus changed worldwide patterns intensively.These differences are caused by the high levels of accidental and secondary funding that this virus reflects.This study showed how e-commerce has grown due to the coronavirus.As individuals deal with their new living conditions,they have changed their shopping behavior to meet their requirements.The COVID-19 pandemic significantly affects many aspects of life,including how individuals deal with their needs and not their needs.The behavior of people,the nature of businesses,and the manner of life have changed.It spreads fears among individuals that they should avoid interacting with.The effect of Coronavirus has transformed the nature of business in the entire e-commerce globe.In particular,COVID-19 has a substantial influence on global e-commerce and in certain cases,has negative consequences,although generally,e-commerce is quickly increasing because of coronaviruses.Moreover,e-commerce businesses confront various problems,including extended delivery times,movement control challenges,social distance,and lock-up or lock-down.The shipping and supply processes are now rather sluggish,yet people are still buying since they do not have any other option.Thus,people move to technology because of coronaviruses.This study has shown the trend of e-commerce in recent times and also shows how consumers tend to adopt e-commerce.There is no such issue in the previous literature.This study fills in the gaps on these issues and also helps to improve the global economy.

An Eddy Perspective of Global Air-Sea Covariation

Mesoscale eddies are widely distributed in the global ocean.They affect the ocean flow field and material transport,and play an important role in the energy transfer between the ocean and the atmosphere.With the development of high-resolution satellite observations,many regional studies are emerging on the coupling effects between mesoscale eddies and the atmosphere.In this study,each identified global eddy(2010-2016,about 13 million eddies)is collocated and normalized with sea surface temperature(SST,2010-2014),sea surface wind(2010-2016),sea surface air temperature at 2 m(2010-2016),water vapor(2010-2014),evaporation rate(2010-2016),cloud liquid water(2010-2014),and rainfall rate(2010-2014).Four normalization methods are used:non-rotated normalization,and normalizations based on wind direction,flow direction,and eddy egg direction alignment.Furthermore,the eddy explained variations of the air-sea parameters are calculated to obtain their spatial distribution.The eddy explained variation ranges of the seven parameters are 24%-78%,12%-21%,3%-35%,8%-22%,9%-18%,0-53%,and0-58%,respectively.The influence of mesoscale eddies on the air-sea interface can be summarized as a vertical mixing mechanism.This study is novel in that it explores the overlying air-sea distribution from the perspective of global eddies.The numerical distributions of climatological air-sea parameters are determined by utilizing the multiyear composite overlying air-sea distribution over global eddies using the eddy coordinate system,and the contribution of eddies to this pattern is analyzed.This study is important for the investigation of global climate change.

DTCC:Multi-level dilated convolution with transformer for weakly-supervised crowd counting

Crowd counting provides an important foundation for public security and urban management.Due to the existence of small targets and large density variations in crowd images,crowd counting is a challenging task.Mainstream methods usually apply convolution neural networks(CNNs)to regress a density map,which requires annotations of individual persons and counts.Weakly-supervised methods can avoid detailed labeling and only require counts as annotations of images,but existing methods fail to achieve satisfactory performance because a global perspective field and multi-level information are usually ignored.We propose a weakly-supervised method,DTCC,which effectively combines multi-level dilated convolution and transformer methods to realize end-to-end crowd counting.Its main components include a recursive swin transformer and a multi-level dilated convolution regression head.The recursive swin transformer combines a pyramid visual transformer with a fine-tuned recursive pyramid structure to capture deep multi-level crowd features,including global features.The multi-level dilated convolution regression head includes multi-level dilated convolution and a linear regression head for the feature extraction module.This module can capture both low-and high-level features simultaneously to enhance the receptive field.In addition,two regression head fusion mechanisms realize dynamic and mean fusion counting.Experiments on four well-known benchmark crowd counting datasets(UCF_CC_50,ShanghaiTech,UCF_QNRF,and JHU-Crowd++)show that DTCC achieves results superior to other weakly-supervised methods and comparable to fully-supervised methods.