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The aim of the present study was to examine the associations between forgiveness and adult weight gain and to test whether emotional eating mediates this relationship. Forgiveness was conceptualized as an emotion-focused coping strategy for managing intrapersonal, interpersonal, and situational stressors, whereas emotional eating was viewed as a maladaptive coping response to stress-related emotional dysregulation. Participants were 160 college students and community adults (Mage = 25, SD = 13; 68
Objective Fear of missing out (FoMO) is a growing phenomenon that can occur across various life domains, including but not limited to online environments. It has been associated with reduced well-being, which makes it important to identify potential protective factors. The present study examined whether dispositional forgiveness, specifically forgiveness of others, perceived forgiveness by God, and self-forgiveness, is modestly associated with FoMO in a sample of Polish adults active on social networking platforms, where the experience is most common.Method A cross-sectional survey was conducted with 290 participants aged 18-65 who completed the Toussaint Forgiveness Scale and the Fear of Missing Out Scale.Results Multiple regression analyses confirmed that only self-forgiveness was significantly associated with FoMO when sociodemographic variables were controlled, with a small effect size. Quantile regression showed significant associations at the 25th and 50th percentiles, but not at the 75th percentile.Conclusion These findings suggest that self-forgiveness may represent a modest psychological resource associated with lower FoMO, particularly in preventive and educational contexts, while underscoring the need for broader resources to address more severe experiences of FoMO.
INTRODUCTION:It is widely acknowledged that dental training is stressful, with students being vulnerable to burnout, anxiety, and depression. OBJECTIVE:This study examined the associations between psychosocial risk factors (maladaptive perfectionism and rumination) and resilience factors (forgiveness of self, others, and situations, and compassion for self and others) with burnout, depression, and anxiety. METHOD:In 2023, an electronic questionnaire was distributed to all dental students at a US dental school. Validated self-report measures were used to assess three domains: (a) mental health outcomes (burnout, depression, and anxiety), (b) risk factors (perfectionism and rumination), and (c) protective factors (compassion; self-compassion; and forgiveness of self, others, and situations). Socio-demographic measures were also collected. Seventy dental students participated, representing a 12% response rate, approximately evenly distributed across all four training years. RESULTS:Bivariate analyses showed that perfectionistic discrepancies and rumination were associated with greater burnout, depression, and anxiety. Self-forgiveness and forgiveness of situations were associated with lower burnout, depression, and anxiety. In the final step of multiple regression models, where all variables were entered into the equation, self-forgiveness emerged as a significant predictor of lower burnout and depression. Forgiveness of situations significantly predicted lower anxiety, while rumination remained as a predictor of higher anxiety. CONCLUSIONS:These findings represent an initial examination of risk and resilience factors considered jointly in relation to burnout, depression, and anxiety. Notably, the study highlights the potential of relatively under-researched constructs-forgiveness of self, others, and situations-in shaping mental health outcomes among dental students during training.
The early detection and classification of skin cancer are pivotal in improving patient outcomes and reducing healthcare burdens. However, traditional deep learning models in dermatological diagnostics often struggle with the nuanced differentiation of skin lesions. This paper introduces an approach to integrate an Advanced Heat Flow Layer into deep learning architectures for skin cancer classification, this method is centered on the principles of anisotropic diffusion, distinguishing itself from conventional image processing techniques by selectively smoothing image areas while preserving critical edge details, essential for accurate lesion identification. In our research, we utilized the Ham10000 dataset, enriched with data augmentation to simulate real-world variability, we conducted a comprehensive comparison of our model, featuring the Advanced Heat Flow Layer, against several benchmark deep learning models, including Sobel Edge Detection Layer. Our model, integrated with various layers of DenseNet121, consistently outperformed these benchmarks across key metrics such as accuracy, precision, recall, F1 score, and AUC, particularly with augmented data, this indicates a significant enhancement in the model’s ability to generalize and maintain critical diagnostic features under diverse conditions. Our code is available at, https://github.com/sanadv/SkinCancerClassificationModels/blob/main/Models.ipynb
Narcissism, a core component of the Dark Tetrad, is known for its antagonistic social manifestations, yet its bifurcation into admiration and rivalry provides a more refined lens on interpersonal functioning. This study investigates how these dimensions relate to trait forgiveness-a dispositional tendency to respond to interpersonal transgressions with benevolence-over time. A three-wave cross-lagged panel model spanning three-month intervals was employed with a non-clinical Polish sample (N = 170). Prior to hypothesis testing, the Trait Forgiveness Scale (TFS) was adapted and psychometrically validated in a separate Polish-speaking sample (N = 386), demonstrating satisfactory internal consistency and providing evidence of convergent validity. Longitudinal results showed that narcissistic rivalry consistently predicted lower trait forgiveness, establishing it as a stable relational risk factor. Narcissistic admiration, while not predictive of forgiveness, was associated with an increase in rivalry over time. These findings underscore the divergent social pathways of narcissistic subdimensions, highlighting rivalry's obstructive role in conciliatory behavior and the complex temporal dynamics between admiration and antagonism. The study also contributes a culturally adapted forgiveness measure suitable for Polish-speaking populations.
