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The purpose of this study was to examine the effects of gender on the job satisfaction of US academics.

The population for this study consisted of full‐time college and university teachers listed in the “Brain Track University Index Directories of the United States Colleges and Universities”. A sampling technique was used to select the respondents surveyed for this study. A total of 1,100 questionnaires were administered to respondents chosen from 80 universities. A total of 560 usable questionnaires were returned, giving a response rate of 51 percent.

The findings of this research show that there are gender differences apparent in the job satisfaction levels of university teachers surveyed for this study. Female faculty were more satisfied with their work and co‐workers, whereas, their male colleagues were more satisfied with their pay, promotions, supervision, and overall job satisfaction. Results also indicated that ranks were significant in explaining gender differences and job satisfaction of the respondents.

This research is delimited to 4 year colleges and universities. Thus, the results of this study cannot be generalized to 2 year and community colleges.

Findings of the study provides institutional leaders, university and college administrators, and human resources professionals with key information that would enable them to recruit, reward, promote, and retain women faculty. The finding would also enable the government address the issues concerning female academics.

This paper offers practical recommendations to higher education administrators and human resources professionals on how to enhance job satisfaction of female faculty. It also offers suggestions to how to maintain more balanced gender equity in higher education.

The purpose of this paper is to study the functionality of additively manufactured (AM) parts, mainly depending on their dimensional accuracy and surface finish. However, the products manufactured using AM usually suffer from defects like roughness or uneven surfaces. This paper discusses the various surface quality improvement techniques, including how to reduce surface defects, surface roughness and dimensional accuracy of AM parts.

There are many different types of popular AM methods. Unfortunately, these AM methods are susceptible to different kinds of surface defects in the product. As a result, pre- and postprocessing efforts and control of various AM process parameters are needed to improve the surface quality and reduce surface roughness.

In this paper, the various surface quality improvement methods are categorized based on the type of materials, working principles of AM and types of finishing processes. They have been divided into chemical, thermal, mechanical and hybrid-based categories.

The review has evaluated the possibility of various surface finishing methods for enhancing the surface quality of AM parts. It has also discussed the research perspective of these methods for surface finishing of AM parts at micro- to nanolevel surface roughness and better dimensional accuracy.

This paper represents a comprehensive review of surface quality improvement methods for both metals and polymer-based AM parts.