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1790 articles for “RANS”
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Human Exploration of Mars: Challenges and Prospects for Sustainable Presence
Abstract: Human goals to Mars signify one of the most ambitious aims of present space exploration. While robotic missions have considerably extended our knowledge of the Martian atmosphere, sending humans to Mars proposes an extensive range of difficult hardships that must be tackled before such missions can become a reality. This review paper examines the most significant technical, biological, psychological, and logistical challenges associated with human exploration of Mars. The most …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Pharmacokinetics of Levothyroxine and Factors Influencing Its Therapeutic Efficacy in Hypothyroidism: A Comprehensive Review
Abstract: Levothyroxine (LT4) remains the standard therapy for hypothyroidism due to its effectiveness in restoring normal thyroid hormone levels and improving physiological functions. However, its pharmacokinetic profile exhibits considerable variability, which may influence therapeutic outcomes in clinical practice. This review aims to comprehensively evaluate the pharmacokinetics of levothyroxine, including its absorption, distribution, metabolism, and elimination, along with factors affecting its therapeutic efficacy. A structured literature search was conducted using electronic databases, …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 2, 2025 Read article
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RF Energy Harvesting Techniques for Wireless Sensor Networks
Abstract: In contemporary applications like environmental monitoring, healthcare systems, industrial automation, agriculture, military surveillance, and smart cities, Wireless Sensor Networks (WSNs) are crucial. However, the limited battery life of sensor nodes remains a major challenge because many sensor devices are deployed in remote or difficult-to-access locations. Frequent battery replacement or recharging increases maintenance cost, reduces network reliability, and limits long-term operation. In contemporary applications like environmental monitoring, healthcare systems, industrial automation, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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An Arduino-Based Autonomous Serving Robot with GPS Navigation for Cost-Effective Service Automation
Abstract: Robots built for service are no longer confined to research labs or luxury hotels; they are starting to appear in everyday spaces where speed and consistency make a real difference. In a restaurant, for example, a robot that can deliver meals and clear trays reduces staff workload, while in hospitals it can free nurses from routine errands. Schools, too, can benefit by using such machines for both practical and teaching …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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An in-Depth Analysis of Cyber Security: Vulnerabilities, Threat Landscapes, Attack Mechanisms, and Defense Solutions
Abstract: In a highly digitalized world today, cyber security has taken over as a necessary component to safeguarding the modern world technology. With the increase in the dependency on the digital platform and online services, the threat of cyber threats has also risen. Such threats are not confined to mere attacks anymore, as they have taken a new form of complexity and magnitude to impact individuals, businesses, government institutions among others. …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Machine Learning Based Sentiment Analysis of Student Feedback in Higher Education
Abstract: Educational institutions routinely collect feedback from students to understand their perceptions of academic programs, infrastructure, and campus facilities, to improve the overall quality of the college environment. In current practice, feedback is often gathered using numerical or grade-based rating systems, which tend to oversimplify student opinions and may overlook important details related to their level of satisfaction. In contrast, open-ended textual feedback allows students to clearly express their views, concerns, …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 01–10 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Molecular Docking, QSAR Modeling, and ADMET Evaluation of Novel Pyrazolo-Pyrimidine Derivatives as Potential CDK-2 Inhibitors for Cancer Therapy
Abstract: Cyclin-dependent kinase-2 (CDK-2) is an essential regulator in cell cycle progression and is an important therapeutic target in cancer drug development. In the present study, an integrated computational approach involving molecular docking studies, QSAR modeling, ADMET prediction, and artificial intelligence-based analysis was used to identify pyrazolo-pyrimidine derivatives as potential CDK-2 inhibitors. Based on the molecular docking results, it was found that selected compounds exhibited high binding affinity towards the ATP …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Lyapunov-Stable Adaptive Fractional-Order Interval Type-2 Fuzzy Control for Robust Anti-Lock Braking Under Uncertain Road Adhesion Conditions
Abstract: This paper proposes a Lyapunov-stable Adaptive Fractional-Order Interval Type-2 Fuzzy Logic Controller (FO-IT2FLC) for robust anti-lock braking system (ABS) control under nonlinear vehicle dynamics and uncertain road adhesion conditions. The proposed framework integrates fractional-order error dynamics to capture memory-dependent tire–road interaction, interval Type-2 fuzzy inference to model uncertainty via footprint-of-uncertainty representation, and a Lyapunov-based adaptive learning mechanism for real-time parameter tuning. A rigorous stability proof guarantees boundedness of all closed-loop …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 Read article
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Resilience, Secular attitude and Forgiveness among indian men & women
Abstract: The present study investigates the relationship among forgiveness, resilience, and secular attitude among adults living in Pune, India. The primary objectives of the study were to examine the interrelationship between these three variables, evaluate the influence of secular attitude on forgiveness and resilience, and identify differences based on gender and region. 113 adults were selected through a simple random sampling method and were assessed using the Bharathiar University Resilience Scale …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 112–120 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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Mindfulness-Based Stress Reduction Techniques Among Healthcare Workers in South India: A Regional Analysis of Efficacy and Barriers
Abstract: Healthcare workers (HCWs) in India, particularly in resource-limited settings, face high levels of occupational stress, yet structured stress-reduction interventions remain underutilized. Mindfulness-Based Stress Reduction (MBSR) offers a potential solution, but implementation challenges persist. To assess the effectiveness of an 8-week MBSR programme in reducing stress and enhancing mindfulness among HCWs in South India, and to identify barriers to its successful implementation across urban and rural settings. A quasi-experimental study was …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 99–103 Read article
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Linear Stability in the Restricted Three-Body Problem with Oblate Primaries
Abstract: We present a study of the linear stability which is based on numerically we find that the critical mass ratio of the primaries forms a smooth surface and absence that c decrease as oblate parameter increase. In the restricted three-body problem the collinear points are unstable and equilateral triangular points are stable for the mass ratio . The numerical calculations give a thorough explanation of how changes in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Assessment of Knowledge, Attitudes and Practice of Family Planning among Women of Reproductive Age in Northern Nigeria: A Sociological Study
Abstract: Family planning is a very vital element of reproductive health that enables individuals and couples to decide on how many and how far they would have their children. It is important in enhancing maternal health, child health, alleviating poverty and enhancing sustainable development. Although family planning services are available in Nigeria, their use has been low in most regions in the country especially Northern Nigeria. The paper evaluated the KAP …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 45–64 Read article
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Epidemiological Study of The Microbial Causes of Diarrhea in Children in Najaf Governorate, Iraq
Abstract: The current study included a survey of the microbial causes of diarrhoea among children attending Al- Zahra Teaching Hospital for Maternity and Children in Najaf Governorate and Al-Furat Al-Awsat Hospital in Kufa District. 150 samples were collected, ranging in age from one day to seven years, over a three-month period, from 1/10/2024 to 30/12/2024. The direct swab and stool concentration method was used to examine the stool. The results showed …
Published in International Journal of Pathogens · Vol. 3, Issue 2, 2026 · pp. 9–14 Read article
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A Pre-Experimental Study to Evaluate the Effectiveness of a Planned Teaching Program on Knowledge Regarding the Disposal of Plastic Waste and Its Health Hazards Among Adults in Ghotawde Village of Kolhapur District
Abstract: Background: Plastics are widely used due to their low cost, durability, and versatility; however, their non-biodegradable nature poses serious environmental and health hazards. Improper disposal of plastic waste contributes significantly to pollution and adverse health outcomes, especially in rural communities where awareness may be limited. This study aimed to assess the effectiveness of a structured teaching program on adults’ knowledge about plastic waste disposal and its associated health hazards in …
Published in International Journal of Community Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 64–96 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 17, Issue 2, 2026 Read article