Journal of Advanced Education and Sciences

The role of project Liwanag Aral in preparing education graduates for the LET: an extension service assessment

2026-04-01T10:24:43+00:00

The Licensure Examination for Teachers (LET) serves as a critical benchmark for teacher competence in the Philippines, yet many education graduates face challenges in achieving optimal performance. This study assessed the role of Project Liwanag Aral: LET Review on Professional Education Subjects as an extension service program in preparing education graduates for the LET. Employing a descriptive-correlational research design, data were collected from 250 graduates and alumni who participated in the online review conducted via Zoom in August 2021. A structured questionnaire measured participants’ perceptions of program effectiveness, relevance, content quality, delivery, and its influence on preparedness and confidence. Results indicated that participants rated the program as highly effective in enhancing conceptual understanding, LET-related skills, and overall readiness (overall mean = 4.31). Correlation analysis revealed that all program components, particularly overall program effectiveness and practice exercises, positively and significantly influenced participants’ confidence and preparedness for the LET. The study concludes that structured, curriculum-aligned, and accessible review programs significantly support licensure exam readiness and recommends institutionalizing such initiatives as part of teacher education extension services.

Effectiveness of a yoga program in decreasing anxiety and depression symptoms among women in Gaza strip

2026-05-04T12:24:12+00:00

This study investigates the effectiveness of a yoga-based therapeutic program in reducing symptoms of anxiety and depression among women in the Gaza Strip, a context characterized by chronic psychosocial stressors and limited access to mental health services. The study employed a quasi-experimental design with a pre–post control group approach. A total of 70 participants were randomly assigned into experimental (n = 35) and control (n = 35) groups. Standardized instruments were utilized, including the Generalized Anxiety Disorder Scale (GAD-7) and the Patient Health Questionnaire (PHQ-9).

The intervention consisted of a structured 12-session yoga program integrating breathing techniques, physical postures, relaxation, and mindfulness-based practices. Data were analyzed using SPSS (Version 26), applying parametric statistical tests, including paired and independent sample t-tests, as well as ANOVA.

The findings revealed statistically significant reductions in anxiety and depression symptoms among the experimental group compared to the control group (p ≤ 0.05), with large effect sizes (η² = 0.81 for anxiety; η² = 0.79 for depression). Furthermore, follow-up results indicated sustained improvements one month after the intervention. No statistically significant differences were found across demographic variables, suggesting the program’s broad applicability.

The study concludes that yoga-based interventions represent a cost-effective, scalable, and culturally adaptable approach for improving mental health outcomes among women in high-stress environments. The findings hold important implications for integrating mind–body interventions into community mental health frameworks, particularly in conflict-affected regions.

Consequences of mother’s diet pattern and lifestyle on weight of the newborn at delivery among the infants in Jorhat district, Assam

2026-05-13T10:35:30+00:00

The World Health Organization (WHO) indicates underweight infants as those weighing less than 2,500 grams at the time of delivery. The problem is still a major global public health concern. Dietary and choices regarding their lives made by the mother during pregnancy have an important influence on the development among the children and the outcome of childbirth. The risk of insufficient birth can be increased by unhealthy habits like smoking, drinking alcohol, and eating inadequately.

The principal objective of this study is to evaluate the relationship among underweight births and mother's diet and lifestyle choices. A cross-sectional study included 720 mothers and their live-born infants. Chi-square test, binary logistic regression analysis, and descriptive statistics were used to analyse the data. Tobacco use, betel nut/gutkha consumption, low fruit and vegetable intake, and low protein intake were all significantly correlated with underweight (p < 0.05). The weight at birth is strongly affected by the mother's nutrition and eating habits throughout her life. Encouraging healthy behaviours and a sufficient diet during pregnancy is essential to reducing the effects of a low weight at birth.

The weight of the infant is greatly influenced by maternal nutrition and way of lifestyle. So as to reduce the consequences of being underweight at birth, it is crucial to encourage good behaviours and a suitable nutrition during pregnancy.

Hybrid fuzzy soft set and artificial intelligence model for healthcare decision support systems

2026-05-13T11:09:03+00:00

Healthcare decision-making environments are inherently characterized by uncertainty, vagueness, imprecision, and multi-criteria complexity. Traditional deterministic approaches are often inadequate in handling such ambiguity. Fuzzy soft set theory, developed from the integration of fuzzy set theory and soft set theory, has demonstrated effectiveness in modeling parameterized uncertainty. However, standalone fuzzy soft models lack adaptive learning capabilities. This study proposes a hybrid Fuzzy Soft Set–Artificial Intelligence (FSS–AI) framework for clinical decision support systems (CDSS). The proposed model integrates fuzzy soft decision matrices with machine learning-based weight optimization to enhance diagnostic accuracy, treatment selection, and healthcare resource allocation. A healthcare treatment selection case study is presented to demonstrate the applicability of the model. The results indicate that the hybrid framework improves interpretability, scalability, and predictive reliability compared to classical fuzzy soft set approaches.

Assessment of dissolved oxygen and ecological impact of carbon dioxide in the Bhogdoi River, Jorhat, Assam

2026-05-13T11:28:45+00:00

The Bhogdoi River, a crucial south-bank tributary of the Brahmaputra River, is essential for the ecological and socio-economic aspects of Jorhat district, Assam. Recently, factors such as rising urban development, runoff from agriculture, discharge of household sewage, and uncontrolled disposal of solid waste have greatly impacted the quality of the river’s water. This current research examines the levels of dissolved oxygen (DO) and the ecological effects of dissolved carbon dioxide (CO₂) within the river’s surroundings. Water samples were taken from three chosen monitoring locations that represented the upstream, urban, and downstream areas of the river. The dissolved oxygen levels were found to range from 5.4 to 8.5 mg/L, demonstrating moderate to good oxygen presence for aquatic life. The upstream areas displayed higher concentrations of DO, while the urban location showed relatively lower levels, indicating the effects of organic pollution and increased microbial growth. Dissolved carbon dioxide levels differed across the sampling locations, being notably higher in regions influenced by domestic and agricultural runoff. Increased CO₂ levels can change the pH of the water, decrease its buffering ability, and indirectly hinder oxygen availability by promoting microbial respiration. The link between reduced DO and elevated CO₂ at the urban site signifies the effect of human activities on river ecosystems. While the river still provides conditions that favor aquatic organisms, ongoing pollutant influx could potentially lead to a decline in its ecological balance. This study emphasizes the necessity of consistent monitoring of dissolved oxygen and carbon dioxide as vital measures of freshwater ecosystem health. Efficient waste management and preservation methods are critical for safeguarding the Bhogdoi River and ensuring its ecological viability over time.

A brief review on uncertainty principle and its variants

2026-05-13T11:47:06+00:00

In this paper, using two different formulations, we attempted to first provide an overview of mathematical interpretations of Heisenberg's uncertainty principle. This was done in order to emphasise the mathematical justification for the uncertainty principle's existence. First, we went over in detail the matrix formulation found in Schrodinger's original paper on uncertainty. Next, we reviewed the mathematical proof of the uncertainty principle in a Fourier series formulation and examined the results. We attempted to provide a comprehensive overview of the modified forms of the uncertainty relation in the Quantum Gravitational, Relativistic, and Entropic domains along with other variants after realizing that the most well-known uncertainty relation is not universal. All of these concepts also demonstrate a great deal of potential for use in the emerging new technologies. Our goal was to gather all of these dispersed variations of the uncertainty principle in one location. The current state of these theories, as well as their applications and limitations, are thoroughly discussed.