REVELATION AND SCIENCE

Abdurezak Abdulahi Hashi — 2025-12-23

Hyperventilation Syndrome and Health-Related Quality of Life: A Study of Undergraduate Students

Azlina Daud — 2025-12-23

Hyperventilation syndrome (HVS) is known as exceeding metabolic demands in respiration that usually result in increased heart rate, cardiac output, and respiratory rate. It is also linked to reduced physical and mental health-related quality of life (HRQoL). This study aims to determine the prevalence, symptoms, and factors associated with hyperventilation syndrome and health-related quality of life among undergraduate students. A cross-sectional study was conducted among 178 undergraduate students. The questionnaires distributed consist of three parts which are socio-demographic data, the Nijmegen Symptom Questionnaire (NQ) and the SF-36 questionnaire. There was a significant difference between HVS and HRQoL in physical functioning, role limitations due to physical problems, emotional problems, mental health, vitality, body pain and general health perception (p<0.05). This study's findings highlight the importance of addressing respiratory patterns and their implications on both physical and mental health outcomes among undergraduate students.

A Comprehensive Approach to Nuclear Emergency Response- A Case Study

Siti Amira — 2025-12-23

The effective management of radiation emergencies is essential to safeguard the health and safety of both emergency responders and the surrounding public. The study emphasizes the critical importance of a systematic approach to radiation incidents, focusing on obtaining appropriate safety equipment, conducting thorough radiation detection, and ensuring that the affected area is cleared of any radioactive threats before public access is allowed. Radiation incidents can occur unexpectedly and pose serious risks if not swiftly and adequately addressed. The failure to properly manage these emergencies could lead to harmful radiation exposure, resulting in long-term health consequences. This study contributes valuable insights by evaluating how the systematic procedures currently in place such as identifying radioactive sources, preventing exposure, and decontaminating affected areas can be optimized. A key aspect of this research is its exploration of safety protocols, personnel training, and communication strategies to ensure that all parties, including the Radiation Protection Officer (RPO), assistants, and relevant authorities, work cohesively to mitigate risks. By assessing previous radiation emergencies, interviewing experienced responders, and analyzing safety protocols, the study aims to highlight areas for improvement, ensuring that future responses are more efficient and effective. The findings are expected to provide actionable recommendations that will enhance radiation safety standards, contribute to faster emergency response times, and reduce the likelihood of harm to both responders and the public. As radiation emergencies continue to pose a significant threat, future studies should focus on advancing radiation detection technologies, refining training programs for emergency personnel, and enhancing decontamination techniques. Furthermore, improving coordination between various agencies and incorporating real-time data collection in radiation monitoring can contribute to more proactive management of such incidents. Ultimately, optimizing emergency response strategies will significantly improve the safety, well-being, and security of both the response teams and the general public during radiation-related emergencies.

MHD MIXED CONVECTIVE FLOW OF VISCOUS FLUID IN CORRUGATED CHANNEL

AHMAD DANISH AFIQ SUHARDI — 2025-12-23

This research paper aims to investigate the influence of magnetohydrodynamics (MHD), Richardson's number, wave amplitude, and the undulation number of a wavy surface on the velocity and temperature profiles of a viscous fluid within a wavy channel. The weak formulation is applied to the continuity equation, momentum equation, and energy equation. Then, the problem is solved numerically with the help of the automated solution technique FEniCS and plotted using matplotlib. This study revealed that the velocity profiles increase with the increment of Richardson number, wave amplitude, and undulation number of wavy surfaces. However, the velocity profiles decrease as the magnetic parameters increase. The result showed that magnetic parameters and Richardson number give no significant impact to the temperature profile with the exception of wave amplitude and the undulation number, where the temperature profile increases. This research aims to provide more information on how the fluid flow behaves with the presence of MHD and various changes in different parameters in a corrugated channel, specifically in the sinusoidal-corrugated channel.

INFLUENCE OF GLUCOSE ADDITION ON THE PHYSICAL, PH, AND THERMO-RESPONSIVE PROPERTIES OF ALGINATE BEADS

Siti Fairuz Che Othman — 2025-12-23

Alginate is a promising material for probiotic encapsulation due to its gel-forming that is able protecting any bioactive compounds used both in food and pharmaceutical industries. Glucose is known for its key role in the food industries being used as flavour, colouring agent and controlling the water activity. Encapsulation and delivery efficacy of the alginate beads highly depends on stability of the material withstanding extreme digestions mechanical and chemical processes This study examined the effects of glucose addition on the pH and thermal response of alginate beads meant to use for probiotic encapsulation. Beads were prepared with 1.5%
and 2.0% (w/v) alginate in PBS (pH 4) and incorporated with 4%, 6%, 8%, or 10% (w/v) glucose. All groups formed spherical beads, with glucose increasing bead diameter via osmotic effects. Bead stability was tested in PBS at pH 2, 7, and 10 for 30 minutes. No significant diameter differences were observed between pH 7 and 10, but both differed from pH 2 (p<0.05), showing swelling at neutral/alkaline pH and shrinkage at acidic pH. Thermogravimetric analysis revealed lower weight loss in all glucose groups compared to control, indicating improved thermal stability. Notably, beads with 8% glucose showed the greatest stability, with minimal weight loss (-5.624 ± 2.307 at 1.5% and -6.367 ± 2.678 at 2.0% alginate).

‘SUNNATULLAH’ IN THE HOLY QUR`AN AS A FUNDAMENTAL PRINCIPLE OF TAWHIDIC EPISTEMOLOGY

Ibrahim Shogar Hashi — 2025-12-23

This article investigates concept of ‘Sunnatullah’ in the holy Qur`an as a basic principle of Islamic theory of knowledge. It defined as the immutable Divine pattern and law in the created world, which provides the rational premises for systematic inquiry. Generality and consistency are the basic characteristics of laws to produce the measurable knowledge. While modern science is yet to develop general theories to measure and predict future directions of social changes and historical events, the holy Qur`an persistently emphasizes that there are immutable patterns which govern both human and social domains. The holy Qur`an asserts that: "every nation has its fixed term of life (Ajal), when their term is reached, they neither delayed a moment nor advanced." [Q. 4:34]1. It is well known that fixed term of life is for living organisms, but how a nation has fixed term of life? This problematic question poses further other critical questions about nature of laws which govern life of nations, civilizations, social interactions, and historical events. In which way social and historical pattern are different from the natural laws; and how it can be measured? Adopting the analytical method of theoretical approach, this article attempted to address these questions. Concept of ‘Sunnatullah’ in the holy Qur`an, its types and basic characteristics are investigated. The article concluded that careful study of Sunnatullah in the holy Qur`an enables to uncover the basic principles of Tawhidic epistemology and provides an alternate to the secular epistemology which dominating the entire enterprise of the modern science. Sunnatullah in Qur`anic view introduces itself not only as epistemological principle that describes the physical world, but also as moral principle which governs social changes and historical events.

A Novel Stacked Ensemble Approach for Diabetes Prediction: Merging Machine Learning and Deep Learning Techniques

Md Ziarul Islam — 2025-12-23

To develop an intelligent AI-based predictive hybrid model that accurately identifies diabetic by analyzing clinical and demographic data for early detection and improved healthcare decision-making. This study introduces a hybrid model combining machine learning (ML) and deep learning (DL) techniques for enhanced diabetes prediction. By stacking three ML models (Random Forest, XGBoost, and Logistic Regression) and three DL models (CNN, FNN, and DNN), followed by soft voting, the research aims to leverage the strengths of both approaches to improve accuracy, recall, and precision. The model was tested on the Pima Indians Diabetes Dataset and the LMCH dataset, demonstrating superior performance across key metrics, particularly in handling imbalanced datasets. The hybrid model achieved the best results with an accuracy 92.48%, precision 97.64%, Recall 87.07%, F1 Score 92.05%, ROC-AUC 92.48%, Cohen's Kappa 84.96%, making it a promising tool for early diabetes detection. A Hybrid AI model is superior to XGBoost, CNN for diabetes prediction because it synergistically combines multiple learning paradigms to achieve deeper feature representation, higher predictive accuracy, and stronger clinical reliability. Additionally, the study emphasizes the importance of integrating ML and DL models to improve generalization and robustness in medical predictions.