This study examined the links between intrinsic and extrinsic academic motivation and academic achievement, as well as the mediating effects of learning strategies and academic burnout in these links. A sample of 700 undergraduate students participated in this study (M = 20.15, SD = 1.71), including 679 female participants. The results showed that intrinsic and extrinsic motivation were related to higher academic achievement. Serial mediation analyses results showed that intrinsic and extrinsic motivation were related to higher academic achievement through deep and surface learning strategies as first level mediators, and the constructs of academic burnout, that is exhaustion, cynicism, and professional efficacy, as second level mediators. Specifically, intrinsic and extrinsic motivation were related to academic achievement through deep learning strategy, and in turn with all three academic burnout constructs. Furthermore, intrinsic and extrinsic motivation were related to academic achievement through surface learning strategy, and in turn with exhaustion but not professional efficacy. Gaining insights into how various types of academic motivation interact with learning strategies and academic burnout provides a more thorough understanding of the motivational processes underlying academic achievement. The implications of this study for the students of education are also discussed.
Objectives This study aims to assess the impact of higher education on graduates’ perceived employability of young people through dimensions such as study programs in higher education (SPH), collaboration between the universities and businesses (CUB), teaching quality (TQ), flexibility of academic programs (FAP), and higher education infrastructure and resources (HEIR) by identifying factors that influence the interplay between the higher education provision and the demands of the labor market. In addition, differences in employability depending on the ownership of the higher education institution and the characteristics of the graduate profile and field of study are also analyzed. Methods To achieve the research objectives, a quantitative method was used through a structured questionnaire, where 300 persons who have graduated in academic years 2019/20 – 2023/24 were surveyed. Findings The results show a significant positive relationship between higher education and employability (R 2 = 0.367, p < 0.001), with labor market demands and program flexibility as the strongest predictors. Private institutions performed better in all dimensions, with the biggest difference displayed in infrastructure. The field of study also had a significant impact, with graduates in engineering and information technology fields showing the highest levels of employability. Novelty/improvement This research aims to inform social partners about the ways to fill the gap between the supply of higher education and the needs of the labor market both at home and abroad through sustainable mechanisms, which would guide the provision of study programs.
A WHO report states that retinal diseases are among the most serious conditions affecting people worldwide, mostly as a result of excessive use of smart devices. Our study tackles this by presenting a hybrid convolutional neural network (CNN) model for the identification of multiple retinal conditions, such as cataracts, glaucoma, and diabetic retinopathy. 6,281 high-resolution photos of conditions like cataract, glaucoma, diabetic retinopathy, retinopathy of prematurity, corneal opacity, retinal vein occlusion, and normal retinas are included in the Kaggle dataset. Two hybrid transfer learning models were put into practice: VGG16 in conjunction with ResNet50 and VGG16 in conjunction with EfficientNetB3. To improve model resilience and lessen overfitting during training, dataset normalization within the [0,1] range was used. Because these pretrained transfer learning models have already been exposed to comparable large-scale datasets, their analysis is better. 90
Abstract Oral surgery epidemiological studies are crucial for understanding the prevalence and distribution of oral and maxillofacial diseases. It can identify risk factors and help in the development of prevention and treatment strategies. This study aimed to identify the most common oral surgical diagnoses and treatments performed over a 6-year period. It also evaluated patient demographic patterns in relation to diagnoses and interventions, along with diagnosis–treatment correlations and yearly trends. This retrospective study analyzed records of 1,528 patients who underwent oral surgery between 2018 and 2023. Diagnoses and treatments were assessed for frequency. Patient age and sex distributions were evaluated across diagnoses and treatments. Trends over time were assessed using normalized frequency and linear regression. The most frequent diagnoses were pericoronitis (32%), short frenulum of the upper lip (19%), and retained root (18%). The most common treatments were surgical tooth extraction (59%), frenectomy (19%), and apicoectomy (13%). Frenectomy was more common in younger patients (<14 years) and females, while alveoloplasty was more frequent in older adults. A strong diagnosis–treatment association was found (p < 0.001). Year-to-year comparisons revealed a general decline in surgical procedures over the study period, particularly in 2020, although trends were not statistically significant. Pericoronitis, frenulum abnormalities, and retained root were the leading oral surgical diagnoses, with tooth extraction being the most common procedure. Diagnosis and treatment patterns varied significantly by age and gender. A nonsignificant decline in surgical volumes suggests post-pandemic shifts toward preventive care.
Necrotizing fasciitis (NF) is a rapidly progressive and life-threatening soft tissue infection associated with significant morbidity and mortality. Diagnosing early and prompt surgical management are crucial, to improve patient outcomes. We aimed to evaluate the demographic characteristics, clinical presentation, comorbidities, treatment modalities, and outcomes of patients with necrotizing fasciitis treated at the University Clinical Center of Kosovo between 2011 and 2020, and to compare findings with previously reported data from the same institution. An observational retrospective study was conducted in patients diagnosed with necrotizing fasciitis. Data were collected from medical records and included demographic characteristics, comorbidities, anatomical localization, microbiological findings, number of surgical interventions, and length of hospital stay. Descriptive statistical analysis was performed. A total of 94 patients were included, with a slight female predominance (53.2
