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The purpose of this paper is to describe the policy and trends in rural education in China over the past 40 years; and also discuss a number of challenges that are faced by China’s rural school system.

The authors use secondary data on policies and trends over the past 40 years for preschool, primary/junior high school, and high school.

The trends over the past 40 years in all areas of rural schooling have been continually upward and strong. While only a low share of rural children attended preschool in the 1980s, by 2014 more than 90 percent of rural children were attending. The biggest achievement in compulsory education is that the rise in the number of primary students that finish grade 6 and matriculate to junior high school. There also was a steep rise of those going to and completing high school. While the successes in upscaling rural education are absolutely unprecedented, there are still challenges.

This is descriptive analysis and there is not causal link established between policies and rural schooling outcomes.

The authors illustrate one of the most rapid rises of rural education in history and match the achievements up with the policy efforts of the government. The authors also explore policy priorities that will be needed in the coming years to raise the quality of schooling.

This is the first paper that documents both the policies and the empirical trends of the success that China has created in building rural education from preschool to high school during the first 40 years of reform (1978-2018). The paper also documents – drawing on the literature and the own research – the achievements and challenges that China still face in the coming years, including issues of gender, urbanization, early childhood education and health and nutrition of students.

Although access to safe drinking water is one of the most important health-related infrastructure programs in the world, drinking water remains a large problem in China today, especially in rural areas. Despite increased government investment in water resource protection and management, there is still an absence of academic studies that are able to document what path the investment has taken and whether it has had any tangible impact. The purpose of this paper is to analyze the impact of drinking water investment on drinking water in China.

The authors make use of nationally representative data from 2005 and 2012 to measure the impact of drinking water investment among 2,028 rural households in 101 villages across five provinces. Both ordinary least squares regression and probit regression are used to analyze the correlates and the impact of drinking water investment.

The authors demonstrate that water quality was likely a significant problem in 2004 but that China’s investment into drinking water appears to have resulted in initial improvements during the study period. The authors show that the most significant change came about in terms of hardware: villages that received more drinking water investment now have more piped tap water and more access to water treatment infrastructure (disinfecting and filtering facilities). High rates of rural resident satisfaction with drinking water suggest the effects of drinking water investment are being felt at the village level.

To the authors’ knowledge, this is the first empirical study on drinking water investment over time in rural China using nationally representative data.

The need for a universal rural pension system has been heightened by demographic changes in rural China, including the rapid aging of the nation’s rural population and a dramatic decline in fertility. In response to these changes, China’s Government introduced the New Rural Social Pension Program (NRSPP) in 2009, a voluntary and highly subsidized pension scheme. The purpose of this paper is to assess the participation of rural farmers in the NRSPP. Furthermore, the authors examine whether the NRSPP affects the labor supply of the elderly population in China.

This paper uses household-level data from a sample of 2,020 households originating from a survey conducted by the authors in five provinces, 25 counties, and 101 villages in rural China. Using a probit model and conducting correlation analysis, the authors demonstrate the factors affecting the participation and the impact of NRSPP on labor supply of the rural elderly.

The results show there are several factors that are correlated with participation, such as specific policy variant in force in the respective household's province, the size of the pension payout from government, the age of sample individuals, and the value of household durable assets. Specifically, different characteristics of NRSPP policy implementation increase participation in China’s social pension program. The results suggest that the introduction of the NRSPP has not affected the labor supply of the rural elderly, in general, although it has reduced participation for the elderly who were in poor health.

Several previous studies have covered the NRSPP. However, all previous studies were based on case studies or just focused on a small region, and for this reason the results cannot reflect the populations and heterogeneity of rural areas. Therefore, a data set with a large sample size is used in this paper to provide a new perspective to fully understand the participation of NRSPP and its impacts on rural households. This paper will make an update contribution to the literature in the area of pension programs in China.

Robot-assisted system for minimally invasive surgery (MIS) has been attracting more and more attentions. Compared with a traditional MIS, the robot-assisted system for MIS is able to overcome or reduce defects, such as poor hand-eye coordination, heavy labour intensity and limited motion of the instrument. The purpose of this paper is to design a novel robotic system for MIS applications.

A robotic system with three separate slave arms for MIS has been designed. In the proposed robot, a new mechanism was designed as the remote centre motion (RCM) mechanism to restrain the movement of instrument or laparoscope around the incision. Moreover, an improved instrument without coupling motion between wrist and grippers was developed to enhance its manipulability. A control system architecture was also developed, and an intuitive control method was applied to realize hand-eye coordination of the operator.

For the RCM mechanism, the workspace was analyzed and the positioning accuracy of the remote centre point was tested. The results show that the RCM mechanism can be applied to MIS. Furthermore, the master-slave trajectory tracking experiments reveal that slave robots are able to follow the movement of the master manipulators well. Finally, the feasibility of the robot-assisted system for MIS is proved by performing animal experiments successfully.

This paper offers a novel robotic system for MIS. It can accomplish the anticipated results.

Existing robot-assisted minimally invasive surgery (RMIS) system lacks of force feedback, and it cannot provide the surgeon with interaction forces between the surgical instruments and patient’s tissues. This paper aims to restore force sensation for the RMIS system and evaluate effect of force sensing in a master-slave manner.

This paper presents a four-DOF surgical instrument with modular joints and six-axis force sensing capability and proposes an incremental position mode master–slave control strategy based on separated position and orientation to reflect motion of the end of master manipulator to the end of surgical instrument. Ex-vivo experiments including tissue palpation and blunt dissection are conducted to verify the effect of force sensing for the surgical instrument. An experiment of trajectory tracking is carried out to test precision of the control strategy.

Results of trajectory tracking experiment show that this control strategy can precisely reflect the hand motion of the operator, and the results of the ex-vivo experiments including tissue palpation and blunt dissection illustrate that this surgical instrument can measure the six-axis interaction forces successfully for the RMIS.

This paper addresses the important role of force sensing and force feedback in RMIS, clarifies the feasibility to apply this instrument prototype in RMIS for force sensing and provides technical support of force feedback for further clinical application.

The anonymity of the Internet supports an increasing number of deviant behaviors such as secret affairs. This paper aims to investigate whether religiosity has a negative relationship with the incidence of secret affairs in cyberspace and how it moderates the substitution effect between the use of online and off-line channels for such deviant behaviors.

The authors constructed a cross-sectional county-level dataset containing data on US religious adherents' ratios and actual expenditures on a social website related to extramarital affairs. The data were analyzed by ordinary least squares and two-stage least squares regression models.

In general, religiosity has a negative relationship with secret affairs in cyberspace. It also moderates the relationship between using online (secret affairs websites) and off-line (entertainment facilities) channels for extramarital affairs. The deterrent effect of religiosity is weakened in religious communities with diversified religious teachings/structures and stricter requirements.

This work enriches the understanding of the role of religiosity in online deviant behaviors and provides essential insights for policymakers (e.g. in relation to spillover effects of social norms in cyberspace).

Prior studies suggest that non-timely 10-Q filings indicate higher potential risks than non-timely 10-K filings. Furthermore, larger audit firms tend to be more risk-averse and conservative about reporting. Inspired by these research streams, this paper aims to investigate the influence of non-timely 10-Q filings on audit fees and the impact of audit firm size on this association.

The cross-sectional audit fee regression model used in this study is similar to that used in prior audit fee research (Simunic, 1980; Francis et al., 2005; Hay et al., 2006; Wang et al., 2013). The model includes the following five major characteristics that would influence auditors’ fee decisions: auditee size (LNAT), complexity (REIVAT, FOREIGN, SEG), financial condition (LOSS, ROA, GROWTH, ZSCORE), special events (ICW, RESTATE, INITIAL, GC) and auditor type (BIG4). To examine the effect of non-timely 10-Q filings on audit fees, the variable NT10Q is included in the audit fee model.

The results indicate that when both non-timely 10-K and non-timely 10-Q filings are included in the regression model, only non-timely 10-Q filings are significantly associated with higher audit fees, suggesting that the presence of non-timely 10-Q filings signals more serious underlying problem than non-timely 10-K filings in the audit fees decision processes. In addition, we find that audit fees for firms audited by Big 4 auditors are 26.4 per cent higher when those firms file non-timely 10-Q reports, whereas there is no significant association between non-timely 10-Q filings and audit fees for firms audited by non-Big 4 auditors.

As no attention has been paid to the investigation of the impact of non-timely 10-Q filings on audit fees, with the aim of filling the gap of this specific research area, this study examines the association between non-timely 10-Q filings and audit fees and the influence of audit firm size on this association.

The contribution of this paper is threefold: first, it is the first study to examine the association between non-timely 10-Q filings and audit fees. The results show that non-timely 10-Q filings are a better and earlier indicator of audit risk than non-timely 10-K filings. Second, the results reveal that the relationship between non-timely 10-Q filings and audit fees is affected by audit firm size. Specifically, Big 4 auditors tend to charge higher audit fees in the presence of non-timely 10-Q filings, reflecting that they are more sensitive to audit risk than smaller audit firms are. Third, an examination of the quarterly effect of non-timely 10-Q filings on audit fees indicates a stronger effect from the first quarter’s non-timely 10-Q filings, compared to the second or third quarter.

The purpose of this paper is to explore whether an in-service life teacher training program can improve boarding students’ health, behavior, and academic performance.

The authors conducted a cluster-randomized controlled trial to measure the effect of life teacher training on student health, behavior, and academic performance among 839 boarding students in ten central primary boarding schools in Shaanxi. And the authors also tried to identify why or why not life teacher training works. Both descriptive and multivariate analysis are used in this paper.

The authors find significant improvements in health and behavior. Specifically, compared to boarding students in control schools, 15 percent fewer students in treatment schools reported feeling cold while sleeping at night. The results also showed that student tardiness and misbehaviors after class declined significantly by 18 and 78 percent, respectively. However, the in-service life teacher training program had no measurable impact on boarding students’ BMI-for-age Z-score, number of misbehaviors in class, and academic performance. The analysis suggests that improved communication between life teachers and students might be one mechanism behind these results.

This is the first empirical work which explored how to improve the welfare of boarding students via their life teachers. Because of the sudden increase in boarding students in rural China, it is almost certain that school personnel lack experience in managing boarding students. As such, one promising approach to improving student outcomes might be in-service training for life teachers.

The purpose of this paper is to examine the branding of the Cynical Realist and Political Pop contemporary art movements in China. The trajectory this brand has taken over the past 25 years reveals some of the power discourses that operate within the international visual arts market and how these are constructed, distributed and consumed.

A review of avant-garde art in China and its dissemination is undertaken through analysis of historical data and ethnographic data collected in Beijing, Shanghai and Hong Kong.

The analysis exposes the ideological framework within which the art market operates and how this affects the art that is produced within it. In the case of Cynical Realism and Political Pop, the art was framed and packaged by the art world to reflect Western liberal political thinking in terms of personal expression thereby implicitly justifying Western democratic, capitalist values.

As an exploratory study, findings contribute to macro-marketing research by demonstrating how certain sociopolitical ideas develop and become naturalised through branding discourses in a market system.

A socio-cultural branding approach to the art market provides a macro-perspective in terms of the limitations and barriers for artists in taking their work to market.

While there have been various studies of branding in the art market, this study reveals the power discourses at work in the contemporary visual arts market in terms of the work that is promoted as “hot” by the art world. Branding here is shown to reflect politics by circulating and promoting certain sociocultural and political ideas.

Phishing is a serious cybersecurity problem, which is widely available through multimedia, such as e-mail and Short Messaging Service (SMS) to collect the personal information of the individual. However, the rapid growth of the unsolicited and unwanted information needs to be addressed, raising the necessity of the technology to develop any effective anti-phishing methods.

The primary intention of this research is to design and develop an approach for preventing phishing by proposing an optimization algorithm. The proposed approach involves four steps, namely preprocessing, feature extraction, feature selection and classification, for dealing with phishing e-mails. Initially, the input data set is subjected to the preprocessing, which removes stop words and stemming in the data and the preprocessed output is given to the feature extraction process. By extracting keyword frequency from the preprocessed, the important words are selected as the features. Then, the feature selection process is carried out using the Bhattacharya distance such that only the significant features that can aid the classification are selected. Using the selected features, the classification is done using the deep belief network (DBN) that is trained using the proposed fractional-earthworm optimization algorithm (EWA). The proposed fractional-EWA is designed by the integration of EWA and fractional calculus to determine the weights in the DBN optimally.

The accuracy of the methods, naive Bayes (NB), DBN, neural network (NN), EWA-DBN and fractional EWA-DBN is 0.5333, 0.5455, 0.5556, 0.5714 and 0.8571, respectively. The sensitivity of the methods, NB, DBN, NN, EWA-DBN and fractional EWA-DBN is 0.4558, 0.5631, 0.7035, 0.7045 and 0.8182, respectively. Likewise, the specificity of the methods, NB, DBN, NN, EWA-DBN and fractional EWA-DBN is 0.5052, 0.5631, 0.7028, 0.7040 and 0.8800, respectively. It is clear from the comparative table that the proposed method acquired the maximal accuracy, sensitivity and specificity compared with the existing methods.

The e-mail phishing detection is performed in this paper using the optimization-based deep learning networks. The e-mails include a number of unwanted messages that are to be detected in order to avoid the storage issues. The importance of the method is that the inclusion of the historical data in the detection process enhances the accuracy of detection.