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Background: Workplace bullying affects many people by its negative consequences on employers' mental health, employment satisfaction, and performance outcomes. Female Health care workers in particular are quite vulnerable to bullying. Objectives: The aim of this study is to find the frequency of workplace bullying (WPB) and the correlation between workplace bullying and self-awareness among female healthcare professionals in Punjab. Methods: A cross sectional research design and convenient sampling were used in this study to choose female healthcare workers working in Punjab and history of mental disorder and criminal record were excluded. Data was collected using open access validated E questionnaires that contained measures of workplace bullying by negative acts questionnaire-revised and self-awareness and emotional management by National Health Services questionnaire. Demographic information was also collected. Pearson correlation coefficient was used to identify the links between workplace bullying, self-awareness, and emotional management. Results: Among the 447 participants, varying frequencies of work place bullying were reported by female healthcare professionals in Punjab. The majority of respondents experienced workplace bullying "now and then," and a significant proportion reported weekly occurrences. The study revealed a moderate negative correlation between workplace bullying and self-awareness (r=-0.409), indicating that as bullying frequency increased, self-awareness decreased. Conclusion: The findings of this study demonstrate the significant impact of workplace bullying on selfawareness among female healthcare professionals in Punjab. The results underscore the need for interventions to address workplace bullying and create more respectful work environments for healthcare professionals. The study contributes to the existing literature on workplace bullying and emphasizes the importance of considering the psychological well-being of healthcare professionals. [ABSTRACT FROM AUTHOR]

Background: Workplace harassment, including psychological, discriminatory, and bullying behaviors, specifically excluding sexual harassment is a pervasive issue globally, adversely affecting the mental and physical wellbeing of women in the workforce. However, there is a significant lack of scientific research on workplace harassment in Pakistan. Objective: To evaluate the frequency and types of workplace verbal, discriminatory and psychological harassment experienced by female healthcare professionals in Punjab Methods: Workplace Harassment scale (WHS) 24-items questionnaire was used for this study, duration of study was from January 2023 to March 2023, E-Questionnaire was circulated via email and a total of 444 participants took part in this study. Descriptive statistics were applied to analyze the demographic data and results were presented in frequency and percentage. Results: Among 444 participants, that 64.4 % of females (n=286) have faced verbal, discriminatory and psychological harassment at some point in their career. Conclusion: This study on Workplace verbal, discriminatory, and psychological harassment among female healthcare Professionals highlight the urgency of implementing interventions to discourage such behavior and cultivate a more respectful and supportive atmosphere for healthcare professionals. The study adds to the existing body of research on workplace harassment and emphasizes the significance of prioritizing the psychological well-being of healthcare professionals in a safe working place. This study aims to fill this gap by examining the various types of workplace harassment experienced by female healthcare professionals, highlighting the need for preventive measures and timely interventions to support the mental health of victims in healthcare. [ABSTRACT FROM AUTHOR]

This article discusses the integration of post-publication peer review (PPPR) as a strategy to address research misconduct arising from artificial intelligence (AI). The use of AI in scientific research has revolutionized the field, but it also presents ethical concerns such as algorithmic bias, data bias, and privacy issues. PPPR, which involves reviewing journal articles after they have been published, offers an iterative feedback process that enhances the honesty and integrity of research. By combining PPPR with AI-generated research, the quality, transparency, and accountability of academic papers can be improved, reducing the likelihood of misconduct and fostering community collaboration. [Extracted from the article]