1. Maximizing Nursing Students’ Engagement in Distance Learning: Strategies and InsightsBoris Ilić, Irena Kovačević, Danko Relić, Vesna Švab, Vedrana Vejzović, Seher Yurt, 2025, independent scientific component part or a chapter in a monograph Abstract: The increase of online nursing education, driven by technology and the demand for flexible learning, has emphasized the importance of student engagement. Participation plays a key role in shaping both academic achievement and the acquisition of crucial nursing skills. This chapter explores the impact of technological factors such as audio and video quality, as well as internet speed, on student engagement. Moreover, it delves into how the ERR framework – a teaching approach that includes Evocation, Realization of Meaning and Reflection, along with other interactive tools can be used in online learning settings to improve nursing students’ participation. This work aims to provide educators with practical insights for improving online nursing education by combining technological considerations with innovative teaching strategies.
Keywords: nursing education, distance learning, student engagement, ERR framework, Technological factors
Published in RUP: 22.12.2025; Views: 156; Downloads: 1
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2. Revisiting cultural issues in suicide rates : the case of Western countriesDiego De Leo, Mujde Altin, 2025, original scientific article Abstract: Suicidal behaviors among different age groups show epidemiological differences between countries. Specifically, suicide rates for the younger populations appear to be lower in Latin-origin countries (such as Italy, Spain, and Portugal) in comparison to other Western countries (especially Anglo-Saxon countries such as Canada, New Zealand, and Australia). The opposite seems to be true for the older population, suggesting a cross- cultural pattern for suicidal behavior in different ages. The current study replicates a study published in 1999 and compares suicide data between 1990 and 1994 with more recent data from the years 2016 and 2020 to investigate the persistence of previously observed trends. Basically, the recent years’ data confirm the patterns evidenced a quarter of a century ago, and substantially confirm the existence of suicide trends embedded with countries’ cultural factors and traditions. This investigation underlines the importance of incorporating anthropology, sociology, ethnography, and geography while studying culture-related patterns in suicide.
Keywords: suicide trends, cultural factors, Western countries, Latin countries, Anglo-Saxon countries
Published in RUP: 18.12.2025; Views: 140; Downloads: 2
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3. Identifying risk factors for sarcopenia using machine learning : insights from multimodal dataFelicita Urzi, Domen Šoberl, Ornella Caputo, Marco Vincenzo Narici, 2025, original scientific article Abstract: Purpose This study aims to identify key risk factors for sarcopenia using machine learning models, leveraging anthropomet- ric, biochemical, functional, nutritional, and genetic data. By developing predictive models, the research seeks to improve early detection, enhance diagnostic accuracy, and facilitate personalized interventions for individuals at risk of sarcopenia. Methods We analysed multimodal data from 484 older adults. Two scenarios: Set-a (including SARC–CalF, excluding SARC-F) and Set-b (including SARC-F, excluding SARC–CalF) were applied in a three-stage modeling process with progressively reduced features and optimized predictive performance using machine learning models. Key predictors were ranked using SHAP values, and model performance was evaluated using AUC, accuracy, sensitivity, and specificity. Internal validation and DeLong’s test were applied to assess robustness and statistical differences. Results The most predictive risk factors included functional measures (chair stand, gait speed), nutritional indicators (pro- tein, folate, copper, vitamin B7), clinical conditions (diabetes, comorbidities, low-density lipoprotein (LDL)), and anthro- pometric markers (body mass index (BMI), calf circumference). Genetic features also contributed to risk stratification. The best-performing model Set-b (with screening test SARC-F) achieved an AUC of 0.951 and an accuracy of 93.62%. While SARC–CalF showed higher individual feature importance, the model achieved an AUC of 0.945 and accuracy of 92.2%. Conclusions This study highlights that traditional sarcopenia screening can be enhanced by capturing complex interplay of functional, nutritional, clinical, and genetic factors, offering clinicians a more accurate and tailored tool for early detec- tion and risk stratification. Future research should focus on validating these models in larger, independent, and longitudinal cohorts to assess their predictive utility across diverse populations and over time.
Keywords: genetics, nutrition, risk factors, sarcopenia
Published in RUP: 23.07.2025; Views: 573; Downloads: 12
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6. An exploratory study of consumers' knowledge and attitudes about lignin-based sunscreens and bio-based skincare productsNežka Sajinčič, Oihana Gordobil, Amy Noel Simmons, Anna Malgorzata Sandak, 2021, original scientific article Keywords: attitude, bio-based ingredients, environmental concern, green cosmetics, health consciousness, human factors, knowledge, lignin sunscreen, preference, skincare
Published in RUP: 18.10.2021; Views: 3598; Downloads: 55
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7. Pilot study on genetic associations with age-related sarcopeniaFelicita Urzi, Boštjan Pokorny, Elena Bužan, 2021, original scientific article Keywords: sarcopenia, MTHFR, ACTN3, NRF2, genetic factors, conservation genomics, domestic pig, SNPs
Published in RUP: 18.01.2021; Views: 2254; Downloads: 42
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