1) Background: Culture shock is a common experience by internationally educated nurses (IENs) working in foreign countries, characterized by disorientation and discomfort due to distinct norms, values, and rituals. 2) Aim: this study explores culture shock in IENs and explores mitigation techniques to enhance understanding of challenges faced in foreign cultural contexts. 3) Method: Using Concept Analysis by Walker and Avant (2019). 4) Results: A total of 20 articles were reviewed. Four major attributes were identified: psychological and emotional impact, communication barriers, acculturation and quality of life, and organizational challenges. 5) Conclusion: This paper explores the challenges faced by nurses from foreign countries due to cultural adjustment and proposes solutions to minimize its effects. It is beneficial for nurses, healthcare organizations, and policymakers, aiming to improve patient care and health outcomes. 6) Implication for Practice: Addressing culture shock can promote a smooth transition, enhance nurses' experience, and improve their cultural competence. Providing tailored orientation and mentorship programs can help IENs feel supported and empowered, leading to increased job satisfaction, retention rates, and better patient outcomes.

The Internationalization of higher education has plummeted since the 2010 tightening of migration policies. This study aims to examine the retention and graduation rates of international students at Northern Arizona University (NAU). Using a quantitative analysis approach, the study utilized secondary data from the Center for International Admission and Recruitment Office at NAU to examine the university’s recruitment, graduation, and retention strategies. The aim was to evaluate the impact of internationalization strategies on application and enrolment numbers. The study sample consisted over 2000 international students from fourteen countries, including China, India, Vietnam, Kuwait, Nepal, Ghana, Nigeria, United Kingdom, Spain, Germany, Canada, Mexico, France, and Iran in four cultural groups (Asia, Europe, Africa, and North America). A random sampling technique was used to select these countries partly because of their highest applications, enrolment numbers, as well as their adoption of recruitment strategies like those used by higher education institutions in the United States. A descriptive graphic representation, focusing on full-time undergraduate students during fall semesters, specifically freshmen international students, is illustrated. To facilitate a cross-country comparison of international students, this study presents an analysis of retention and graduation data across different countries spanning the past five years, from 2016 to 2020.

Background: Coronavirus disease has caused global turmoil especially causing huge impact on human life all over the world. Current reports states more than 3 million people have lost life and more than 160 million people are known to be suspected with the SARS-CoV-2. Transmission and disease incidence rates are indicators to assess the seriousness of COVID-19 pandemic and studies to understand the factors that aid in this direction are very vital to curb the disease. Methods: The study intends to discover the relationship by performing statistical analysis using correlation and multiple linear regression analysis between the variable’s population density, temperature, relative humidity, and active time of virus and find out the parameters that predict the cases reported per million population in 83 countries. Results: Analysis indicates active time of virus in days is very positively associated with the COVID -19 cases in all the countries r = .604, p < .01. Active time of virus shows strong negative correlation with temperature r = -.930, p < .01 revealing that rise in temperature will reduce the virus activity in the population. Together, these variables will account for 36.2% variance in the cases per million population with no significant prediction estimated from any factor. Conclusion: The study outcomes clearly state that population density alone is insufficient to estimate the extent of influence on COVID -19 cases as the number of persons living per sq. km of land is a dynamic quantity tend to fluctuate over time and space due to migration of population. In conjunction to the previous studies reported on the environmental and climatic factors influencing the cases reported, population dynamics does not show much significance on the disease spread and incidence. Contribution: The rise in confirmed cases and the high incidence rate reported in countries can be attributed to the active time of virus life expectancy as there is a positive correlation observed between the COVID-19 cases reported and the virus active time in the examined countries. Also, environment and climatic factors play a role in modulating the infection and transmission rate with less significant influence of population density on the COVID-19.

Background: High educational attainment is a well-recognized protective factor against health problems such as diabetes. However, the theory of Minorities' Diminished Returns (MDRs) suggests that this protective effect is weaker for ethnic minorities compared to non-Latino Whites. This diminished effect is thought to result from structural inequalities, such as lower-quality education and fewer occupational opportunities, faced by ethnic minorities. Objective: This study examined the protective effect of years of schooling—used as a proxy for educational attainment—on diabetes mellitus (DM), overall and by ethnicity. Based on the MDRs framework, we hypothesized that the protective effect of education would be weaker for Latino individuals compared to non-Latinos. Methods: Data were drawn from the 2012 wave of the Understanding America Study (UAS), a nationally representative, internet-based panel. The outcome of interest was self-reported doctor diagnosis of DM. Logistic regression models were used to assess the association between educational attainment and DM, with an interaction term to explore differences between Latino and non-Latino individuals. Models were adjusted for age, sex, employment, immigration status, and marital status. Findings were presented as adjusted odds ratios (OR), p-values, and 95% confidence intervals (CIs). Results: Higher educational attainment was associated with lower odds of DM in both Latino and non-Latino individuals (p < 0.001). An interaction between education and ethnicity (p < 0.05) indicated that the protective effect of education was weaker for Latino individuals compared to non-Latinos. Conclusion: The findings align with the MDRs framework, which suggests that the health benefits of education are not equally distributed across ethnic groups. For Latino individuals, structural barriers such as lower educational quality and labor market discrimination may limit the protective effect of education against DM. While education is a key determinant of health, its unequal returns contribute to ethnic health disparities. Policymakers must address structural inequalities in education and employment that disproportionately affect ethnic minorities. Tackling these disparities through multi-sector policy interventions will require bipartisan political support.