The current meta-analytic structural equation modeling (MASEM) techniques cannot properly deal with cases where there are multiple effect sizes available for the same relationship from the same study. Existing applications either treat these effect sizes as independent, randomly select one effect size amongst many, or create an average effect size. None of these approaches deal with the inherent dependency in effect sizes, and either leads to biased estimates or loss of information and power. An alternative technique is to use univariate three-level modeling in the two-stage approach to model these dependencies. These different strategies for dealing with dependent effect sizes in the context of MASEM have not been previously compared in a simulation study. This study aims to compare the performance of these strategies across different conditions; varying the number of studies, the number of dependent effect sizes within studies, the correlation between the dependent effect sizes, the magnitude of the path coefficient, and the between-studies variance. We examine the relative bias in parameter estimates and standard errors, coverage proportions of confidence intervals, as well as mean standard error and power as measures of efficiency. The results suggest that there is not one method that performs well across all these criteria, pointing to the need for better methods.

Cervical cancer, closely linked to human papillomavirus (HPV) infection, is a major global health concern. Our study aims to fill the gap in understanding HPV vaccine awareness and acceptance in the Middle East, where national immunization programs are often lacking and cultural perceptions hinder acceptance. This systematic review and meta-analysis adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A comprehensive literature search across several databases was conducted on 5 September 2023. We included quantitative studies on HPV vaccine awareness and acceptance in Middle Eastern countries. Data extraction and quality assessment were conducted independently by multiple reviewers to ensure accuracy. Statistical analyses, including subgroup analyses, were performed using R to calculate pooled estimates, assess heterogeneity, and publication bias. We reviewed 159 articles from 15 Middle Eastern countries, focusing on 93,730 participants, predominantly female and healthcare workers. HPV vaccine awareness was found to be 41.7% (95% CI 37.4%–46.1%), with higher awareness among healthcare workers. The pooled acceptance rate was 45.6% (95% CI 41.3%–50.1%), with similar rates between healthcare and non-healthcare workers. Our study highlights the critical need for increased HPV vaccine awareness and acceptance in the Middle East, emphasizing the importance of integrating the vaccine into national immunization programs and addressing cultural and religious factors to improve public health outcomes.

The purpose of this review is to examine the effects of hesperidin and hesperetin on liver disorders. Metabolic dysfunction-associated steatotic liver disease is a complicated disorder influenced by many factors, including inflammation, diabetes and obesity. Currently, the most prominent treatment method is lifestyle changes. If left untreated, it can progress to cirrhosis, liver fibrosis and liver cancer. Hesperidin, which is a flavanone glycoside polyphenolic plant compound, belongs to the flavanone class and was first isolated from citrus peel. Hesperidin includes aglycone hesperetin and rutinoside sugar. It is the most dominant form of flavonoid in citrus fruits. In our review, we discuss the effects of these phytochemicals on liver diseases, focusing on their relationship with inflammation, blood sugar regulation and blood lipids. Hesperidin and hesperetin are seen as promising agents for many diseases. Their antioxidant and anti-inflammatory properties support this view. Although their low water solubility limits their potential effects, many studies have demonstrated their benefits. They are thought to play an effective role in inflammatory processes, particularly in liver diseases. More studies are required to find the optimum dosage and to use them as a therapeutic agent for the liver.

Pediatric residents experience ethical dilemmas and moral distress during training. Few studies have identified meaningful methods in reducing moral distress in pediatric trainees. The authors aimed to determine how residents perceive ethics case discussions, whether such a program affects trainee ethics knowledge and perceived moral distress, and if residents’ perceived moral distress changes before, during, and after a discussion series. Participants included pediatric residents in a single residency program. Five separate 1-hour sessions were presented over a 5-month period. Each session consisted of a case presentation by a resident developed under the guidance of an ethicist. Multidisciplinary services and content experts were present during sessions. Baseline, postsession, and final surveys were distributed to resident attendees. Open-ended responses were recorded. When comparing baseline and final responses, the only significance was increased preparedness to navigate ethical decisions (p = 0.004). A 10.2% decline was observed in perceived moral distress. An increase in ethics knowledge was observed. Residents favored case-based, multidisciplinary discussions. Residents desire more sessions, time for small-group discussions, and legal insight. Satisfaction was high with 90.7% of respondents feeling better prepared to address ethical concerns. Pediatric trainees desire case-based ethics training that incorporates small-group discussions and insight from multidisciplinary topic experts.

The concurrent challenges of the COVID-19 pandemic and a significant earthquake in Izmir on October 30, 2020, presented a unique scenario for disaster management and response. This study focuses on the impact of the earthquake, which resulted in 117 fatalities, including 1 due to drowning, and injured 1034 individuals, alongside widespread structural damage including to the Izmir Democracy University Buca Seyfi Demirsoy Training and Research Hospital. The objective is to assess the activation and implementation of the hospital disaster plan amidst the ongoing pandemic. Through a retrospective evaluation of all actions undertaken as per the Hospital Disaster Emergency Plan within the Disaster Management cycle, this study examines the decision-making process for the hospital evacuation on October 30, 2020, the evacuation of COVID-19 patients, and the strategies employed to increase hospital capacity. Of 216 patients hospitalized at the time of the earthquake, 65 were transferred to other facilities under COVID-19 protocols. The prolonged nature of pandemics and the likelihood of secondary disasters underscore the importance of comprehensive risk assessments and dynamic disaster planning, considering simultaneous multiple hazards. This study suggests the inclusion of multi hazard scenarios and diverse evacuation methods by using types of ambulances, such as ground, helicopter, and boat.

Narratives of the making of the international have a specific configuration of past–present–future that constitutes the unitary character of historical time and continues to reproduce spatio-temporal hierarchies. The article argues that the historical turn in IR has addressed spatio-temporal hierarchies through different timing strategies but has not sufficiently problematised the concept of History specifically with respect to unitary historical time. The article focuses on the problem of a unitary historical time; building on works that have underlined how the past, the present, and the future are not fixed entities given to us by an objective ‘truth’ but rather performatively constructed through different politics of time, it aims to develop an analytical vocabulary to further explore how to write history in the plural. How to write history in the plural will be explored through three different readings of the Haitian Revolution, underlining ‘timeliness/untimeliness’, dialogues between presents and pasts and futures, and past and multiple presents aiming to expand our analytical vocabulary in discussing the historical time of the international.

During the pandemic period, the use of health services by disadvantaged groups such as immigrants has deteriorated. The study aims to evaluate the use of antenatal care services by Syrian pregnant women during the pandemic. It is a cross-sectional type of study. The population consisted of 495 pregnant women who applied to the Extended Migrant Health Center (EMHC) between August 2020 and December 2022. Demographic data and pregnancy-related health records were examined through the system records, without any contact with the pregnant women. The percentage of pregnant women who had timely follow-up for each antenatal visit were 11.5% (n=56), 17.2% (n=80), 20.0% (n=88), and 17.4% (n=73), respectively. Only 17.7% (n=87) of the pregnant women made the recommended number of visits during their pregnancy period. The recommended number of follow-ups was statistically significantly higher in women with high-risk pregnancies (p=0.045). Of the pregnant women, 27.4% had anaemia and 2.4% had hypertension. The use of antenatal care in immigrant pregnant women is very low. Interventions are needed in this regard. Increasing the utilization of antenatal care services by immigrant pregnant women is extremely important for both the health of the pregnant woman and the health of the baby.

Dante Cicchetti propelled forward the field of developmental psychopathology by advancing this framework and championing new methods, including emphasizing the central role that multilevel analysis holds for explicating pathways of risk and resilience. His work continues to change the face of existing science. It has also paved the way for the formation of new projects, like the Research Domain Criteria initiative. This paper uses our laboratory’s work on multilevel approaches to studying adolescent depression, non-suicidal self-injury, and suicidal thoughts and behaviors to shine a spotlight on Dr Cicchetti’s contributions. In addition, we review recent developments, ongoing challenges, and promising future directions within developmental psychopathology as we endeavor to carry on the tradition of growth in the field.

With the swift entry of artificial intelligence (AI) into everyday life, human-product interactions are becoming increasingly complex. We suggest an ecosystem-minded, humanity-centered design approach to better understand this complexity. Simultaneously with the development of interaction types, discussions and developments on theories of mental models are crucial to understanding and improving the nature of these interactions. In this paper, we address the gap in mental model theories and extend Norman's conceptual model at three dialogue levels: dialogue in language, mind, and use.

Since its establishment in 2014, Data for Policy (https://dataforpolicy.org) has emerged as a prominent global community promoting interdisciplinary research and cross-sector collaborations in the realm of data-driven innovation for governance and policymaking. This report presents an overview of the community’s evolution from 2014 to 2023 and introduces its six-area framework, which provides a comprehensive mapping of the data for policy research landscape. The framework is based on extensive consultations with key stakeholders involved in the international committees of the annual Data for Policy conference series and the open-access journal Data & Policy (https://www.cambridge.org/core/journals/data-and-policy), published by Cambridge University Press. By presenting this inclusive framework, along with the guiding principles and future outlook for the community, this report serves as a vital foundation for continued research and innovation in the field of data for policy.