Salud, Ciencia y Tecnología - Serie de Conferencias
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The Gender Gap in Mathematics as an Expression of Educational Inequality: Evidence from the 2022 Aprender Tests
Full text linkIntroduction: this article analyzes the gender gap in mathematics performance in Argentine secondary education based on the results of the 2022 Aprender Tests.Methods: a non-experimental quantitative design was used, including mean difference analysis and statistical significance testing.Results: boys scored significantly higher than girls, particularly in contexts of greater social vulnerability.Conclusions: the gender gap in mathematics is understood as a structural phenomenon that requires public policies aimed at educational equity
The relationship between screen time, nutritional status, and sedentary lifestyle among adolescents aged 12-17 in Commune 5 of the Autonomous City of Buenos Aires, during the first four months of 2025
Full text linkIntroduction: Prolonged screen time has been linked to changes in nutritional status and physical activity habits among adolescents. Understanding this relationship is essential for designing interventions to improve youth health.Methods: A quantitative, descriptive, and correlational study was conducted with 200 adolescents aged 12 to 17 years from Comuna 5, Buenos Aires City. Structured questionnaires were used to measure screen time, calculate body mass index (BMI), and assess sedentary behavior levels. Data were analyzed using vertical and percentage analyses.Results: Obesity was most prevalent among adolescents with less than one hour of daily screen time (93.3%), decreasing in groups with moderate screen time and increasing again in those exceeding three hours (70.4%). Overweight increased with screen time, particularly in medium and long durations. Normal BMI peaked in the group with around three hours of screen time. High sedentary behavior showed an increasing trend with more screen time, reaching 43.7% in adolescents with over three hours daily. Medium and low sedentary levels were more frequent in groups with intermediate and short screen times.Conclusions: There is a complex, non-linear relationship between screen time, nutritional status, and sedentary behavior in adolescents. Increased screen exposure is associated with higher sedentary levels and nutritional alterations, underscoring the need for comprehensive interventions to promote healthy habits and regulate screen use in this population
Deep learning techniques for breast mass malignancy classification on digital mammography
Full text linkIntroduction: Breast cancer is one of the most common type of cancer with a high mortality rate. Mammography is widely used to identify breast cancer. Computer Aided Diagnosis systems are used for automatic detection of breast lesions. Methods: We propose and evaluate a deep learning model, called VGG16-C300, for breast mass malignancy classification. CBIS-DDSM dataset was used for training and evaluation. Image contrast enhancement methods like CLAHE and Mean Blur where previously applied to regions of interests. Results: The trained model achieved and area under the curve of 0.80, after 10 iterations of a 5-fold Cross-Validation. Conclusions: VGG16-C300 could be used as a component in a computer-aided diagnosis system for breast cancer detectio
Self-Realization Strategies and Their Impact on Mental Health in the Context of Professional Development
Full text linkIntroduction: Given the intensive development of the labor market, the study of self-realization strategies is an urgent task. In this study, the importance of mental well-being on the path of professional development is also an urgent problem for scientific knowledge. The purpose of this study is to identify key self-realization strategies, define their role in professional development, and assess their impact on mental well-being. Methods: The study is a mixed-methods research: it involves the processing of both qualitative (scientific literature) and quantitative materials (survey data). The participants of this study are 112 people who were included on the basis of pre-established criteria. The main research tool was a questionnaire consisting of open and closed questions. Most of the questions are based on a Likert scale (from 1 to 5). Results: The results determined that self-realization, which affects the quality of life and the level of satisfaction with one\u27s professionalism. Self-realization strategies optimize and develop various individual capabilities. They involve individual participation in professional development programs, leadership development, coaching, etc. Coaching provides emotional support and helps individuals overcome challenges. The results demonstrate the role of coach support in improving mental health and maintaining confidence. Conclusions: In the research the positive impact of coaching on increasing motivation, improving well-being and generally improving work efficiency was noted. In addition, the acquired knowledge helped the participants of the experiment to achieve the main goals in terms of professional development
Using Stochastic Frontier Analysis Algorithms to Study Corporate Capital Structure Optimization and Risk Management: A State-Owned Enterprise Research Perspective
Full text linkFor any industries, the measuring of Capital Structure Optimization (CSO) and Risk Management (RM) are essential aspect to improve performance and sustainability. State owned enterprise provide considerable challenges to perform the CSO and RM because of its inherent complexities and unique attributes. Further there are too little attempts were made to measure those attributes. This work is an attempt to study the influence of CSO and RM over the performance of State-Owned Enterprise (SOE). Particularly this study focuses on industries such as energy, utilities, telecommunications, transportation, manufacturing, financial services, real estate, healthcare, technology, and agriculture. The work study had employed a Translog Stochastic Frontier (TSF) model with Return on Assets (ROA) as the dependent variable and key financial ratios as independent variables. Using the data that was collected three years during the period from 2020 to 2023. The TSF model was optimized using goal programming approach based on set of constraints. The results from the findings have shown that the mean efficiency scores have improved across all industries after constraint application
User Acceptance and Sustainable Adoption of University Management Information Systems: a Cross-cultural Study
Full text linkObjective: This study aims to enhance the quality of management information systems (MIS) in universities by investigating user acceptance and sustainable adoption across different cultural contexts.Method: A cross-cultural study was conducted utilizing the Technology Acceptance Model (TAM) as a theoretical framework. Key research variables were identified, including system performance, management information quality, system interactivity, social impact, educational culture, usage habits, perceived usefulness, perceived ease of use, user acceptance, sustained use intention, and sustained use behavior. A series of hypotheses were established and validated through experimental analysis.Results: The analysis revealed that system performance, management information quality, educational culture, and perceived usefulness significantly positively influenced user acceptance, with path coefficients of 0.256, 0.752, 0.607, and 0.368, respectively. Additionally, social influence, usage habits, perceived usefulness, and user acceptance positively impacted users\u27 willingness to continue using the MIS, with path coefficients of 0.533, 0.532, 0.441, and 0.602, respectively.Conclusions: The findings indicate that cross-cultural research on user acceptance and sustainable adoption of MIS in universities is vital for understanding diverse user needs. The insights gained can serve as objective guidance for enhancing the management capabilities of universities globally
How passion and workplace incivility impact job performance in China: the role of work-life balance
Full text linkIntroduction- Private universities now face multiple pressing challenges, one of the reasons is the low job performance of academic staff. In order to solve the problem, this study considered the factors that affect job performance.Objective- Building on the Job Demand-Resource (JD-R) Theory, this study explored the underlying association between passion, workplace incivility, work-life balance and job performance of academic staff in China. Specifically, we tested the mediating mechanism of work-life balance that has received less consideration in the former literature.Methods- A sample of 385 private university academic staff from 21470 was selected. Questionnaires were distributed to them. Statistical techniques such as SPSS 27 and Smart-PLS 4 were applied for analysis.Results- The results revealed a positive relationship between passion and job performance and a negative relationship between workplace incivility and job performance. In addition, work-life balance mediated the relationship between passion, workplace incivility and job performance.Conclusions- This study contributed to the literature on work-life balance and job performance by stating how work-life balance could play a mediator role between the path of job resources and of job demands to job performanc
An examination of how digital media art is used in Chinese opera stage designs
Full text link**Introduction** This study examines the use of digital media art in Chinese opera stage design and its impact on audience experience and opera expression. By introducing digital technologies such as virtual reality, holographic projection, and lighting design, this paper aims to enhance the visual expressiveness of the opera stage, optimize resource allocation, and increase the audience’s sense of immersion.**Methods** A series of experiments were designed to assess the role of digital media technologies in stage resource utilization, the impact of color palette on emotional expression, and the audience’s sense of immersion and emotional resonance.**Results** The experimental results show that digital media technology significantly improves the stage\u27s visual effect, increases resource utilization rate by 20%, and significantly enhances the audience\u27s immersion and emotional resonance index.**Conclusion** Optimizing stage resource allocation through digital means not only reduces energy consumption but also improves performance efficiency. The study concludes that digital media art provides an innovative path for the modernization and digital development of Chinese opera and is expected to play an important role in the future dissemination and innovation of opera cultur
Integration of Educational Content in Social Media Platforms: Content Creators’ Experiences
Full text linkIntroduction: This study addresses the problem of understanding educational content creators\u27 lived experiences and challenges in developing impactful social media content. Methods: The study employed a qualitative phenomenological research design involving 10 content creators. The inclusion criteria specified that participants must be educators who were content creators actively producing educational materials for social media platforms, with a minimum of one (1) year of experience in content creation and social media channels with 300,000 or more subscribers. It used the thematic analysis steps. Results: Through a phenomenological approach, the research identified several themes, including (1) designing user-centered content, (2) balancing educational values and engagement, (3) applying principles of accuracy and relevance, (4) considering ethics and fact-checking, (5) fostering community building and collaboration, (6) managing challenges on time management and limited resources, and (7) measuring effectiveness through engagement metrics. The findings reveal that creators prioritize audience needs and strive to balance entertaining and informative content while maintaining ethical standards. Conclusion: Despite facing significant challenges such as resource limitations and time management, creators were committed to producing meaningful educational content that enhanced student engagement and learning outcome
Enhancing Road Safety: A Study of iRAD and eDAR Initiatives by the Ministry of Road Transport and Highways, Government of India
Full text linkThis study examines India\u27s initiatives to enhance road safety via the Integrated Road Accident Database (iRAD) and the e-Detailed Accident Report (e-DAR). The Ministry of Road Transport and Highways (MoRTH) has been executing many measures to improve road safety. Road accidents have become a significant threat in India. iRAD aims to address this issue by establishing a comprehensive road accident database to assist authorities in making proactive choices and ensuring \u27Better and Safer Roads for All.\u27 The main goals were to assess the efficacy of these activities in enhancing road safety measures, enabling precise data gathering, and optimizing accident reporting systems. The initiative will provide diverse insights by studying the national road accident data using data analytics techniques. The proposed system would provide analytical data via a Monitoring & Reporting Dashboard and an Analytics Dashboard to enhance understanding and support forecasting and decision-making by Apex Authorities for the formulation of new policies and strategies. The project\u27s outcome will be enhanced road safety, namely \u27Safe Road for All\u27 in Indi