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This content analysis examines the historical representation of Margaret Sanger within trade books. From the framework of the historiography, this paper unpacks how common curricular resources depict an American icon with a complicated past.

In this paper, the author conducted a content analysis of biographies and expository compilations featuring Sanger. The entire data pool were sampled and analyzed.

The trade books, particularly the biographies, historically represented Sanger in most categories. Sanger's international direct action and eugenics were two misrepresented areas. Expository compilations, with more limited space than biographies, contained more omissions and minimized or vague depictions of key areas. Findings did not appear dependent upon date of publication.

This study explores an icon of America's free speech battles and birth control rights at a time when culture wars are shaping current events. No researchers have previously explored Sanger's historical representation within trade books.

This study explores whether the peer effects of internationalization exist within the subdivision industry of enterprises in the engineering field and assesses the imitation paths for the peer engineering enterprises within the industry when implementing internationalization strategies under the peer effects.

This study collected secondary and objective data on 38 Chinese engineering enterprises from the Engineering News-Record's list of the top 250 international contractors between 2013 and 2021. It employed a regression analysis to test the research hypotheses.

The findings reveal that in the process of internationalization: (1) peer effects exist within the subdivision industry of internationalization of engineering enterprises; (2) engineering enterprises within the same industry and region imitate each other; (3) non-state-owned engineering enterprises imitate state-owned engineering enterprises within the same industry; and (4) in the industry follower–leader imitation process, industry followers imitate leaders according to enterprise size and return on assets.

The results contribute to a better understanding of how peer effects influence engineering enterprises' internationalization process. This study also proposes imitation paths based on the law of imitation to provide recommendations for engineering enterprises' better development in the international market.

This study examines the effect of non-audit fees (NAF) provisions on interest payments classification shifting. In addition, we investigate to what extent the NAF economic bonding and interest payments classification shifting is contingent on internal governance and firm financial well-being.

This study employed probit regression using a sample of UK non-financial firms indexed in FT UK (500) over the period from 2009 to 2017.

We find evidence that the economic bonding of NAF between external auditors and their clients is more likely to encourage managers in UK firms to manipulate operating cash flows through interest payment classification shifting. In addition, and interestingly, our results evince that classification-shifting may be the less costly and soft choice of managers in firms with strong governance and charging higher NAF. Furthermore, we show that financially distressed firms associated with their auditors in purchasing non-audit services are more prone to attempting to manipulate and engage in interest payments classification-shifting. Our result did not provide a significant effect of external auditor tenure on the interest payments classification shifting.

Our findings are subject to the following limitations: First, this study uses a composite index to measure the quality of internal corporate governance. It focuses only on the board of directors, but this index does not reflect other internal governance mechanisms. Second, this study is subject to limited study time due to the implementation of key IFRS standards (IFRS 9 Financial Instruments and IFRS 15 Revenue from Contract with Customers) from 2018–2019.

This study was motivated by the UK’s Financial Reporting Council regulators' pressure on the Big 4 audit firms to move more audit time into main auditing activities, reduce cross-selling to audit clients and separate their audit practices by 2024. Overall, we provide new evidence that directs a close spotlight on the threats of NAF that are potentially useful to regulators, shareholders and investors.

It is motivated by the UK’s Financial Reporting Council regulators' pressure on the Big 4 to move more audit firm time into main auditing activities, reduce cross-selling to audit clients and separate their audit practices by 2024. Overall, we provide new evidence that directs a close spotlight on the threats of NAS that are potentially useful to regulators, shareholders and investors.

Consumer choice theory (CCT) and the law of diminishing marginal utility help to explain shoppers that value less and prioritize needs. Additional units provide a marginal return on investment. Buying more does not mean equivalent gains for additional money spent. The researchers developed and validated the necessity shopper scale (NSS) to study need-focused shoppers.

The researchers followed standard psychometric practices to create and validate the NSS. The researchers performed item development, data collection, exploratory analysis, confirmatory factor analysis, and predictive validity analysis using survey data (N = 1,266).

Discriminant and convergent validity analyses demonstrated that the measure was distinct from existing measures. Predictive validity analysis found necessity shoppers (NS) are more likely to buy one over buy one get one half off (BOGOHO). NS were associated with a higher connection to community/group (CTCG). Higher hyperopia (i.e. disinclination to indulgence) with necessity shopping beliefs heightened this CTCG. A higher CTCG was associated with a greater likelihood to select BOGOHO.

NS (more connected to others) buy more to share with others, while buying just enough for themselves. Social connections are long-term investments involving more people and more needs to fulfill. Brands marketed with communal values and able to enhance social connections are discussed as implications to encourage NS to buy more.

Consistent with the metaphor of narcissists as “emotional vampires” who leave their victims emotionally drained and devoid of energy, this research suggests that certain factors, such as subjective norms, perceived behavioral control, and religious beliefs, can reduce the level of narcissistic behavior in organizations. Drawing from the theory of planned behavior (TPB) and self-regulation theory, the current study evaluates the moderating role of Islamic religiosity in the relationship between subjective norms and the intention to behave narcissistically. In addition, this study examines the moderating role of afterlife belief in the relationship between perceived behavioral control and the intention to behave narcissistically.

The research hypotheses were tested using two-wave survey data collected from managers of 103 service organizations (Study 1) and 323 employees of four service organizations (Study 2). This research applies structural equation modeling (SEM) to examine the proposed model using SmartPLS 3 software.

Islamic religiosity had a negative moderating role in the relationship between subjective norms and the intention to behave narcissistically (Study 1 and Study 2). In addition, subjective norms and perceived behavioral control had significant positive effects on the intention to engage in narcissistic behavior among managers (Study 1). However, perceived behavioral control had no significant effect on the intention to engage in narcissistic behavior among employees (Study 2).

The current study not only tests the applicability of the TPB to narcissistic behaviors in Islamic organizations, but it also extends the classic TPB framework by including two moderating variables – Islamic religiosity and afterlife belief.

This paper aims to explore the prevalence of depression, anxiety symptoms and suicidal ideation among the Romani population in Ukraine and their connections with various social health determinants: age, gender, household characteristics, employment and living conditions.

For measuring mental health conditions, GAD-7 and PHQ-9 were used. Individual interviews were conducted by trained volunteers of the International Charitable Organization “Roma Women’s Foundation Chirikli”. Data were gathered from January to March 2020.

The overall level of depression found in the sample was 8.08, while the mean for anxiety was 7.22. In general, 32.7% of respondents scored positively for signs of depression and 29.6% for anxiety. The two-week prevalence of suicidal ideations was 26.9%. Compared to the general population, the prevalence of depression among the Romani research participants was twofold higher, and anxiety was 2.5-fold higher. Signs of depression and anxiety in women were significantly higher (36% vs 28.6% for depression and 33.9% vs 24.2% for anxiety) than in men. Signs of depression and anxiety were higher for people without education than for university students (9.32 vs 3.04 for depression and 8.26 vs 3.00 for anxiety). The lowest levels of depression, anxiety and suicidal ideation were among officially married persons (6.61, 6.36 and 0.23, respectively). Significant small positive correlations were found between all measurements and the number of household members (0.149 for depression, 0.124 for suicidal ideation and 0.175 for anxiety; p < 0.001) and the number of children (0.303 for depression, 0.224 for suicidal ideation and 0.243 for anxiety; p < 0.001). In terms of employment, the highest scores for depression, anxiety and suicidal ideation were found among those who are employed seasonally (9.06, 8.25 and 0.61) or irregularly (9.09, 8.12 and 0.57) in contrast with self-employed (4.88, 4.90 and 0.19) and full-time employees (5.86, 5.51 and 0.18). Living place (city, village or camp) showed no relation with mental health, except for suicidal ideation: those living in villages had higher levels of suicidal ideation than those living in cities (0.49 vs 0.31).

The study has some limitations. Data were gathered from January to March 2020, and since then, the situation in Ukraine has drastically changed due to the full-scale Russian invasion. While this study’s data and conclusions might serve as a baseline for further research, they do not represent the real-time situation. While many social factors were analysed, the effects found for them do not necessarily represent causality, given the statistical methods used. Interactions among factors were not studied; therefore, no firm conclusions can be made about the effects of those interactions on mental health.

To the best of the authors’ knowledge, this paper is original in terms of its topic, as the first-ever in Ukraine quantitative study of mental health and social determinants of mental health of the Romani population.

This study aims to investigate some individual factors that may positively/negatively impact upon the willingness to use AI-assisted hiring procedures (AI-WtU). Specifically, the authors contribute to the ongoing discussion by testing the specific role of individuals’ personality traits and their attitude toward technology acceptance.

Data have been collected from a cohort of workers (n = 157) to explore their individual level of AI-WtU, their personality traits and level of technology acceptance, along with a series of control variables including age, gender, education, employment status, knowledge and previous experience of AI-assisted hiring.

The results obtained show the significant role played by a specific personality trait –conscientiousness – and technology acceptance in shaping the level of AI-WtU. Importantly, technology acceptance also mediates the relationship between AI-WtU and conscientiousness, thus suggesting that conscientious people may be more willing to engage in AI-assisted practices, as they see technologies as means of improving reliability and efficiency. Further, the study also shows that previous experience with AI-assisted hiring in the role of job applicants has a negative effect on AI-WtU, suggesting a prevailing negative experience with such tools, and the consequent urge for their improvement.

This study, to the best of the authors’ knowledge, is the first to test the potential role of personality traits in shaping employees AI-WtU and to provide a comprehensive understanding of the issue by additionally testing the joint effect of technology acceptance, age, gender, education, employment status and knowledge and previous experience of AI-assisted hiring in shaping individual AI-WtU.

This work aims to focuse on improving the performance of the new exponentially weighted moving average (NEWMA) scheme for monitoring process dispersion. The authors use the generalized time-varying fast initial response (GFIR) to further enhance the detection ability of variability NEWMA control charts at the process startup. The performance of the proposed chart and other schemes discussed in this article are evaluated; and compared using the average run length (ARL) and standard deviation run length (SDRL) measures. It is observed that the ARL of the proposed scheme is quicker in detecting small and moderate shifts in the process dispersion than its counterparts. The real-life application of the proposed scheme is presented.

The dynamic parameter of GFIR is used to enhance the detection ability of variability NEWMA control charts. The authors apply GFIR to the control limit of variability NEWMA scheme. This further narrows the control limit, hence enabling it to swiftly detect small and moderate changes in process dispersion.

The authors present the performance comparisons by examining the ARL properties of the proposed chart and its counterparts. The performance comparison shows that the proposed chart is highly sensitive in detecting small and intermediate process shifts. The real-life application presented also supports the study’s conclusion from the simulation studies. The performance comparison of the proposed chart and its counterparts shows that the proposed scheme is efficient in detecting process abnormalities, especially at the startup.

In terms of the control limits, the proposed chart is the generalized variability NEWMA control chart in which all the previously proposed NEWMA variant schemes can be obtained. Also, the newly proposed control scheme is more efficient in detecting small or moderate persistent shifts in the process dispersion.

Incipient detection of pavement deterioration (such as crack identification) is critical to optimizing road maintenance because it enables preventative steps to be implemented to mitigate damage and possible failure. Traditional visual inspection has been largely superseded by semi-automatic/automatic procedures given significant advancements in image processing. Therefore, there is a need to develop automated tools to detect and classify cracks.

The literature review is employed to evaluate existing attempts to use Hough transform algorithm and highlight issues that should be improved. Then, developing a simple low-cost crack detection method based on the Hough transform algorithm for pavement crack detection and classification.

Analysis results reveal that model accuracy reaches 92.14% for vertical cracks, 93.03% for diagonal cracks and 95.61% for horizontal cracks. The time lapse for detecting the crack type for one image is circa 0.98 s for vertical cracks, 0.79 s for horizontal cracks and 0.83 s for diagonal cracks. Ensuing discourse serves to illustrate the inherent potential of a simple low-cost image processing method in automated pavement crack detection. Moreover, this method provides direct guidance for long-term pavement optimal maintenance decisions.

The outcome of this research can help highway agencies to detect and classify cracks accurately for a very long highway without a need for manual inspection, which can significantly minimize cost.

Hough transform algorithm was tested in terms of detect and classify a large dataset of highway images, and the accuracy reaches 92.14%, which can be considered as a very accurate percentage regarding automated cracks and distresses classification.

In recent years, Yoga practice has seen a rapid rise in popularity with many positive consequences, both physical and mental attributed to its practice. Ashtanga Yoga has been less well researched in this area and is the specific focus on this work. The aim of this study is to investigate the possible positive impact of long-term Ashtanga Yoga on psychological well-being.

In total, 213 long-term Ashtanga Yoga practitioners were asked to complete the positive emotion, engagement, relationships, meaning, accomplishment (PERMA) 23 scale (Butler and Kern, 2016) which measures psychological well-being. The values given by these individuals were then compared against a larger sample of 31,966 representative of the general population.

Scores were then compared with a PERMA data set representative of the general population (see Butler and Kern, 2016), primarily using a test of difference to compare samples. Secondly, the causal relationship between time spent in practice upon well-being scores.

Findings indicated that those individuals engaged in long-term Ashtanga Yoga practice significantly outperformed the control group on all dimensions of psychological well-being.

This work has demonstrated specific benefits to the practice of Ashtanga Yoga on psychological well-being. Yoga is a form of exercise that is now widely available across the globe, and as such, represents an accessible form of physical practice, which has important psychological benefits.

To the authors’ knowledge, this is the first work investigating differences in psychological well-being profiles using PERMA, as a function of Yoga practice.