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The authors examined the numerical natural frequency analysis of a 2D functionally graded (FG) truncated thick hollow cone using 3D elasticity theory.

The material properties of the 2D-FGM (two dimensional-functionally graded materials) cone are graded along the radial and axial axes of the cone using a power–law distribution. The eigenvalue problem was solved using finite element analysis (FEA) employing graded hexahedral elements, and the verification of the finite element approach was assessed by comparing the current solution to earlier experimental studies.

The effects of semivertex angle, material distribution and the cone configuration on the natural frequencies have been analyzed. For various semivertex angles, thickness, length and power law exponents, many results in the form of natural frequencies and mode shapes are presented for the 2D-FGM cone. As a result, the effects of the given parameters were addressed, and the results were compared, demonstrating the direct efficiency of raising the power–law exponents and cone thickness on the rise of natural frequencies.

For the first time, the numerical natural frequency analysis of a 2D-FG truncated thick hollow truncated cone based on 3D equations of elasticity has been investigated. The material properties of the truncated cone have been distributed along two directions, which has not been considered before in any research for the truncated thick cone. The reason for using these innovative volume fraction functions is the lack of accurate coverage by functions that are available in the literature (Asemi et al., 2011; Babaei et al. 2021).

This study aims to assess the prevalence of burnout among undergraduate medical and health science students and to identify the factors associated with its development.

A cross-sectional study was conducted involving students from Ras Al Khaimah Medical and Health Science University. The Maslach Burnout Inventory-Student Survey was used to evaluate three subscales of burnout. Ethical considerations were met, and informed written consent was obtained from participants. Bivariate and multiple logistic regression analyses were conducted to examine the relationship between demographic, personal and school environment factors and burnout.

Out of 453 students surveyed, the majority were females (74.8%) aged 18–20 years (60%). Significant levels of burnout were reported, with emotional exhaustion, depersonalization and reduced personal accomplishment affecting over half of the participants (69%). Factors such as being in the clinical years, long-distance commuting challenges and involuntary college selection were identified as predictors of burnout.

While the study provides valuable insights, limitations may include the specific context of the university and potential biases in self-reported data.

The findings underscore the importance of raising awareness, maintaining work-life balance and implementing coping strategies to support student well-being and foster a positive learning environment. Suggestions include time management and seeking guidance from mentors or mental health professionals.

This study contributes to the understanding of burnout among medical and health science students, especially within the unique context of the United Arab Emirates, given the convergence of students from diverse nationalities and cultural backgrounds.