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Purpose. As a scientific field, bioinformatics has drawn remarkable attention from various fields, such as information technology, mathematics, and modern biological sciences, in recent years. The topic models originating from the field of natural language processing have become the focus of attention with the rapid accumulation of biological datasets. Thus, this research is aimed at modeling the topic content of the bioinformatics literature presented by Iranian researchers in the Scopus Citation Database. Methodology. This research was a descriptive-exploratory study, and the studied population included 3899 papers indexed in the Scopus database, which had been indexed in this database until March 9, 2022. The topic modeling was then performed on the abstracts and titles of the papers. A combination of LDA and TF-IDF was utilized for topic modeling. Findings. The data analysis with topic modeling resulted in identifying seven main topics "Molecular Modeling," "Gene Expression," "Biomarker," "Coronavirus," "Immunoinformatics," "Cancer Bioinformatics," and "Systems Biology." Moreover, "Systems Biology" and "Coronavirus" had the largest and smallest clusters, respectively. Conclusion. The present investigation demonstrated an acceptable performance for the LDA algorithm in classifying the topics included in this field. The extracted topic clusters indicated excellent consistency and topic connection with each other. [ABSTRACT FROM AUTHOR]

Maintaining a high level of adherence to antiretroviral therapy is a challenge among HIV/AIDS patients. The study aimed to explore the process of adherence to treatment with a grounded theory approach to help physicians and planners develop strategies to increase adherence to treatment. We conducted in‐depth interviews and a focus‐group discussion. The data were collected from 2016 to 2018. The participants were 39 HIV/AIDS patients treated with antiretroviral, their relatives (three people) and two treatment staff. The study was conducted at the Behavioural Counselling Center of Imam Khomeini Hospital, located in Tehran, the capital of Iran. The data were analysed at the stages of "analysis for concepts," "analysis for context," "bringing process into the analysis" and "integrating." We obtained a conceptual model to explain the relationship between the categories. "Motivation" was identified as the core variable and the "Becoming resilient" explained the adherence process. Several factors including the interfering factors, contextual factors and resilience factors were identified. The interfering and contextual factors, in the absence of the resilience factors, lead to decreased motivation and increased poor adherence to treatment. The role of motivation in long‐term adherence should be emphasised. We think strategies such as helping individuals with HIV/AIDS to form support networks, empowering and encouraging them to seek spiritual help will motivate them to maintain a long‐term use of antiretroviral medications and, hence, become more resilient. [ABSTRACT FROM AUTHOR]

Aim: To investigate the relationship between leadership style with nurse job stress and anticipated turnover. Background: An appropriate leadership style should promote the efficacy of nurses. Different leadership styles can affect nurse's job stress and the numbers of nurses leaving their workplace or their profession. Methods: In this cross‐sectional correlational study, 1,617 nurses were selected from the governmental hospitals in Iran 2016–2017. Data were analyzed using descriptive and inferential statistics in SPSS20. Results: Nursing Manager's leadership style was transactional leadership. Both transformational and transactional leadership style have a significant relationship with job stress and anticipate staff turnover. A positive relationship was found between a laissez‐faire leadership style with job stress and anticipated turnover. Conclusion: The transformational and transactional leadership styles can reduce nurse's job stress and intention to leave, so nurse leaders can use combination of transformational and transactional leadership for improving job satisfaction and quality of nursing services. Implications for Nursing Management: Leaders should emphasize a clear expression of values, objectives, and mission of the organisation; and try to raise confidence in employees, respecting and caring for them, supporting their views and suggestions, and being optimistic about the future. [ABSTRACT FROM AUTHOR]