Salud, Ciencia y Tecnología (Journal)
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Gender-based Variations in Psychological Well-being of Bullying Victims: an Indonesian Perspective
Get PDFBullying is a serious, widely recognized public problem that affects many students worldwide, creating profound impacts on their well-being, including psychological well-being that vary by gender. This study objective to analyze the differences in the psychological well-being of bullying victims in Indonesia based on gender. This type of research used is comparative research. The sample in this study was 3296 students (M = .50; SD = 1.15) consisting of 37.2% male and 62.8% female. The Scales of Psychological Well-Being (SPWB) was used to collect data on student psychological well-being of bullying victims in Indonesia. The analysis technique used is descriptive and differences with the Welch test. The results showed that the average psychological well-being of males was higher than that of females, with a statistically significant difference. These findings suggest that gender differences in experiences and responses to bullying affect psychological well-being differently. Females tend to be more vulnerable to the emotional impacts of bullying, such as shame and low self-esteem, while males may be better able to cope with negative feelings through external coping mechanisms or suppressing their emotions
The importance of using Artificial Intelligence in nursing
Get PDFIntroduction: In Mexico, challenges and opportunities were identified for nursing professionals, where the use of Artificial Intelligence (AI) stands out as an essential tool to improve patient care. AI, through algorithms and learning models, allows professionals to access critical information and evidence for clinical decision-making.
Methods: A systematic review of observational studies was carried out, it was used as a warning or instruction in Generative AI. The above was complemented with MesH words and health descriptors, Boolean operators were used. The search was made of original research, summaries, articles, and gray literature. The selection and extraction was done in Embase, Medline, PubMed, Cochrane Library databases to later read them and perform meta-analysis.
Results: The implementation of AI facilitated the personalization of patient care, improving efficiency in diagnoses and care plans. They found that AI-powered systems allowed nurses to manage workloads more effectively and respond to complex situations more quickly. However, concerns were also raised about privacy and ethics in data handling.Conclusions: AI has the potential to significantly transform nursing practice by optimizing processes and improving clinical outcomes. Despite its advantages, it is essential to address the ethical and legal challenges associated with its use. Collaboration between nursing and engineering is essential to ensure effective and responsible integration of AI into healthcare
Bridging the Language Gap: Enhancing Academic Performance of Non-Native Students with AI-Powered Translation
Get PDFIntroduction: Disparity between language ability of non-native students and the medium of instruction used in host country education institutions can limit non-native students’ (NNES) ability to be fully engaged in learning and if not addressed can pose serious ramifications on affected students’ psychological wellbeing leading to poor academic performance and unwanted dropout. Objective: This study uses empirical evidence to establish the effectiveness of AI neural machine translators in enhancing non-native students\u27 academic performance through improved learner-content and learner-instructor interactions.Methods: Convergent parallel mixed method was employed over two trials simultaneously collected quantitative and qualitative data from samples that were segregated into similar proportions of control and experiment sub-population strata according to participants’ language ability. Qualitative semi-structured interviews were conducted during the diagnostic and summative stage complemented by weekly formative quantitative assessment over a span of 10 weeks per trial.Results: Findings from Cohen’s d’s effect size change inferred NNES with low language ability benefited the most. However, lesser effects were found on NNES with high language ability.Conclusions: While NMT shows promise in enhancing learning interactions educators should exercise discretion to avoid deleterious effect on host country students and NNES with higher language abilities
Voices of Academia: Perceptions of Exam Question Formats among Students and Faculty
Get PDFIntroduction: Evaluation of students is a crucial aspect of teaching and learning in higher education, particularly in nursing education. Effective assessment methods should evaluate cognitive, psychomotor, and communication skills while promoting professionalism. This study aimed to examine the perceptions of nursing students and faculty members regarding their preferences for assessment methods, specifically comparing Multiple Choice Questions (MCQs) and essay questions, at the Faculty of Nursing, Northern Border University in 2022-2023. Methods: A cross-sectional comparative design was utilized, involving 80 nursing students from both genders and 53 faculty members. Data was collected through self-administered questionnaires assessing demographic information, preferences, and perceived challenges related to assessment methods. Results: The study revealed a significant preference for MCQs, with 94.1% of students favoring them over essay questions (9.4%), and 88.7% of faculty preferring MCQs as well, although they leaned towards short essays and case studies. Post-intervention, perceptions of assessment types improved markedly; poor perceptions of MCQs decreased from 69.4% to 22.4% (p < 0.001), and for essay questions from 74.1% to 12.9% (p < 0.001). Training in question formulation was significantly correlated with improved perceptions of MCQs (p < 0.001). Conclusion: Both groups favored MCQs for their ease and reliability, while faculty expressed interest in integrating diverse assessment methods to enhance learning outcomes and evaluate student competencies effectively.
Enhancing Parkinson\u27s Disease Detection using AI Techniques
No full textAbstract: One of the severe illnesses that causes uncontrollable and unexpected outcomes is Parkinson\u27s disease(PD). People over 50 years of age are typically the ones who contract this illness. The patients\u27 symptoms progressively become worse leading to a variety of abnormalities such as body part rigidity and abnormalities in speech and gait. In addition, the patients have sadness, sleep deprivation, memory problems, mental illness, and numerous other health problems. Parkinson\u27s disease is caused by damage or death of neurons in the brain\u27s basal ganglia, but scientists and doctors are unable to pinpoint the causes of this damage or death. Therefore, timely disease diagnosis and treatment can help patients avoid unanticipated life implications. The biggest benefit of this era is the application of Artificial Intelligence(AI) and machine learning(ML) in the healthcare industry, which facilitates and expedites diagnosis and prediction. In this paper, we have proposed a solution for Parkinson’s disease prediction. We have done a comparative analysis in terms of performance by implementing various Machine Learning algorithms that can be used for Parkinson’s disease predictions. Random Forest performs better than a lot of other ML methods showing 99% accuracy.
Pop Music and Globalization: The Integration and Re-creation of Ethnic Elements
Get PDFGlobalization has reshaped the soundscape of pop music, enabling the fusion of traditional ethnic elements, such as indigenous instruments, folk rhythms, regional languages, and vocal styles, into mainstream compositions. While such integrations reflect growing cultural interconnectivity, questions persist regarding how these creative choices influence audience perception and commercial outcomes. This research investigates the impact of ethnic integration on listener attitudes, perceived authenticity, cultural appreciation, stereotyping concerns, and market performance in global pop music. The research involved a quantitative research design, including a content analysis of 100 internationally popular pop songs (2015-2024) and survey responses from 1,200 global music listeners. Songs were systematically coded for ethnic elements, and participants evaluated them across multiple dimensions, including authenticity, appreciation, novelty, stereotyping, and engagement. Commercial success was measured through global streaming metrics and chart performance. Statistical techniques included Multivariate Analysis of Variance (MANOVA) to assess perceptual differences, Exploratory Factor Analysis (EFA) to structure perceptual dimensions, and hierarchical regression analysis to model relationships between perception variables and commercial performance. All analyses were conducted using IBM SPSS Statistics Version 28. Results indicated that songs featuring ethnic elements were rated higher for authenticity, cultural value, and novelty but also raised concerns about stereotyping. The research shows that perceived authenticity and cultural appreciation greatly influence listener engagement and commercial success in global pop music. When applied appropriately, ethnic integration, enhances cultural engagement and broadens the international appeal of pop music
Evaluation of modern dental approaches in the care of the geriatric patient
Get PDFThe World Health Organization (WHO) highlights the importance of oral health in the well-being of older adults, considering it essential for healthy aging. The prevention of oral diseases and the implementation of effective clinical strategies are a priority to improve the quality of life in this population, which faces challenges such as physiological aging, chronic diseases and psychosocial barriers. This literature review, based on a qualitative, descriptive and cross-sectional approach, analyzes the most effective techniques in the dental management of geriatric patients, gathering information from the last five years. The strategies identified include clear communication adapted to the patient\u27s capabilities, minimally invasive procedures to reduce stress and dental preservation, and a comprehensive evaluation that takes into account systemic conditions such as diabetes or hypertension. Pain and anxiety management is a priority, highlighting the use of conscious sedation and analgesia in a welcoming environment that generates trust. It is concluded that success in geriatric care depends on clinical skills, interpersonal sensitivity and constant updating in technology and therapies. Patience, empathy and personalization of treatments are key to strengthening the therapeutic bond and ensuring quality care
Maxillofacial surgery and waiting lists in the Concepción public health network. Observational study
Get PDFObjective: to analyze minor maxillofacial surgery care and the accumulated demand on waiting lists in public healthcare facilities of the Concepción Health Service between 2022 and 2024. Methods: observational, descriptive, cross-sectional study based on records from the Concepción Health Service. The sample included six public healthcare centers (Guillermo Grant Benavente Hospital, Víctor Manuel Fernández Primary Health Center, Coronel Hospital, Lota Hospital, Santa Juana Hospital, and Florida Hospital). Absolute and relative frequencies were described, and Pearson’s Chi-square test was applied for inferential analysis (p < 0,05), complemented by effect size estimation using Cramer’s V. Results: between 2022 and 2024, a sustained increase in consultations and follow-up visits was observed, with the majority concentrated at Hospital Guillermo Grant Benavente (74.3% and 75% in 2024). Other centers showed relevant but decreasing participation. The most frequent interventions included minor outpatient surgery and treatment of dentoalveolar trauma, with an increase in procedures performed under general anesthesia in 2024. Significant differences were identified between years and centers (p < 0,001), with effect sizes ranging from moderate to low (W = 0.07–0.71). Conclusion: minor maxillofacial surgery in the public system shows a marked gap between demand and response capacity, highlighting a structural deficit in oral healthcare services
Enhancing Hospitality Competencies: The Role of Mobile Augmented Reality In Indonesian Vocational Schools
Get PDFThe integration of immersive technologies such as augmented reality (AR) in tourism and hospitality education remains limited, particularly in developing countries like Indonesia, where textbook-based instruction often restricts student engagement and practical skill development, leaving gaps in spatial, procedural, and conceptual competencies. This study examined the effectiveness of mobile AR applications in improving hospitality competencies and explored gender-based differences in learning outcomes among vocational school students. A quasi-experimental design was implemented with 420 eleventh-grade students from four vocational schools over eight weeks, where the experimental group used AR to simulate hotel operations while the control group received textbook-based instruction. Hospitality Competency Test scores were analyzed using ANCOVA controlling for pre-test scores, and qualitative data from semi-structured interviews were thematically analyzed to complement the quantitative results. Findings showed a significant positive effect of AR on overall competency (F(1,417)=175.36, p<.001, ηp²=.296; Cohen’s d=1.18), with higher post-test performance in spatial awareness, procedural knowledge, and conceptual understanding. A significant gender-by-intervention interaction (F(1,415)=5.04, p=.025, ηp²=.012) indicated that females in the AR group achieved greater gains in procedural knowledge (d=0.43) and spatial learning. Qualitative findings reinforced these outcomes, revealing increased engagement, collaboration, and comprehension of complex service processes, with only minor technical challenges. These results suggest that AR can be effectively integrated into competency-based vocational curricula to accelerate skill acquisition, enhance engagement, and promote gender equity in hospitality training, provided that adequate infrastructure and teacher professional development are ensured. Future research should include multi-site longitudinal studies to assess retention, workplace transfer, cost-effectiveness, and the potential benefits of integrating AR with VR, AI, and learning analytics for scalable implementation
Rethinking Mediation and Arbitration in the Age of Artificial Intelligence: A Systematic Review
Get PDFIntroduction: artificial intelligence (AI) has begun to transform mediation and arbitration, two fundamental mechanisms of alternative dispute resolution (ADR). Its integration has raised growing academic interest, given its potential to increase procedural efficiency while challenging traditional notions of impartiality, confidentiality, and ethical judgment.Objective: this study aimed to systematically analyze the integration of AI into mediation and arbitration processes, identifying its technological applications, ethical-legal implications, and practical impacts on ADR mechanisms.Method: a systematic literature review was conducted of peer-reviewed articles published between 2010 and 2025, using the Scopus and Web of Science databases. After applying inclusion and exclusion criteria, 410 records were screened, and 30 studies were selected for full-text qualitative synthesis. Data extraction included publication type, AI application, benefits, and reported challenges.Results: quantitative screening indicated that most studies originated from the United States, Europe, and Asia, with limited representation from Latin America. The qualitative synthesis revealed that AI improved ADR efficiency by automating administrative tasks, facilitating document analysis, and generating preliminary agreements. However, persistent challenges included algorithmic bias, data confidentiality, and the absence of clear regulatory frameworks ensuring transparency and fairness. Despite technological advances, human oversight remained indispensable in cases requiring ethical reasoning and empathy.Conclusions: AI enhanced the accessibility and operational performance of ADR but required robust ethical and legal frameworks to ensure just and accountable outcomes. The study emphasized the need for interdisciplinary collaboration and harmonized global standards to guide responsible AI adoption in dispute resolution systems