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1524 articles for “qualitative”
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Role of Artificial Intelligence in Simulation and Therapeutics in Neurodegenerative Diseases
Abstract: Neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, etc., are a cause of significant mortality rates due to a lack of curative treatments and their complex nature. Traditional therapeutic methodologies have several disadvantages such as slow diagnosis and a lack of effective treatments. They mainly focused on the management of the disease rather than curing it. The integration of artificial intelligence in the simulation and therapeutics of neurodegenerative …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 19–29 Read article
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Optimizing Mango Harvest Timing in the Nasik Region (Maharashtra, India) by CNNs (Residual Network 101)
Abstract: The determination of optimal harvest timing is one of the most critical decisions in mango production, directly affecting postharvest quality, market value, transportation resilience, and export readiness. In regions such as Nashik, Maharashtra—one of India’s major fruit- producing belts—the climatic variability, cultivar differences, monsoon patterns, and market- driven pressures make accurate harvest timing essential. Traditional maturity assessment relies on subjective visual inspection, specific gravity, or destructive testing, each of which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 Read article
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Effect of Microbial Species and Inoculum Dosage on Anaerobic Digestion
Abstract: This work aims at studying the effect of microbial species and inoculum dosage on anaerobic digestion of food waste using cattle rumen content as inoculum. Four different batch runs were carried out with different percentage inoculations which were (control sample), 25% dosage, 50% dosage and 75% dosage. To have both logical and scientific explanation why the inoculated samples had better performance than the control sample, microbial identification was carried out …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 12–23 Read article
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Physicochemical Analysis of Oil Extracted from Raphia Sudanica Fruit Sold in Edu Local Government Area of Kwara State, North Central Nigeria
Abstract: Raphia sudanica, commonly called Raphia hookeri or bamboo palm fruit, is one of the most valuable species among known palm fruits found in Nigeria and is widespread in major parts of West Africa. In this study, oils extracted and analyzed from Raphia sudanica fruits (pulp and seed) revealed the respective physicochemical values; acid value (5.56, 6.10 mgKOH/g), peroxide value (2.44, 5.82 Meq/kg), iodine value (41.30, 68.10 gI₂/100 g), saponification value …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 67–75 Read article
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Unveiling Bihar's Atmospheric Crisis: A Synoptic Review of PM 2.5 Dynamics, Source Attribution, and Airshed Vulnerabilities in the Eastern Indo-Gangetic Plain (Bihar)
Abstract: Bihar, situated in the pollution-trapping Indo-Gangetic Plain (IGP), faces a severe air pollution crisis characterized by annual PM2.5 concentrations of 80–100 μg m-3 exceeding WHO guidelines (5 μg m-3) and Indian NAAQS (40 μg m-3) by 4–6-fold. This review synthesizes data from CPCB/BSPCB monitoring, MODIS satellite retrievals, and peer-reviewed studies (2000–2025) to assess ambient air quality, sources, health impacts, policies, and research gaps in the state. PM2.5 and PM10 dominate, …
Published in International Journal of Pollution: Prevention & Control · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Evaluation on the Mechanical Strength of TIG Welded 6061Aluminium Alloy Joints
Abstract: Aluminum alloy Al-6061 is extensively used in aerospace, automotive, and marine industries due to its excellent mechanical properties, lightweight nature, and corrosion resistance. However, welding this alloy presents challenges such as porosity, hot cracking, and strength reduction in the heat-affected zone (HAZ). Tungsten Inert Gas (TIG) welding, known for its precision and quality, is commonly employed for joining Al-6061. This study investigates the tensile strength of TIG-welded butt joints of …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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A Study of DCGAN-Based Generative Models for Anime Character Face Generation
Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article
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Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Mental Health Nursing Interventions in Schizophrenia Care: Effectiveness of Nurse-Led Strategies in Managing Schizophrenia Disorder
Abstract: Schizophrenia is a chronic and severe mental disorder characterized by disturbances in thought, perception, emotion, and behavior that significantly impair an individual’s functioning and quality of life. Mental health nurses play a pivotal role in the management of schizophrenia through comprehensive, patient-centered, and evidence-based interventions. This article critically examines the effectiveness of nurse-led strategies in managing schizophrenia disorder, focusing on pharmacological support, psychosocial interventions, psychoeducation, therapeutic communication, relapse prevention, and …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 Read article
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Upgrading Nutritive Value of Rice Straw: Processing, Supplementation, and Agronomic Innovations for Improved Utilization
Abstract: Rice straw, a major byproduct of rice production, holds significant potential as a livestock feed but is constrained by its high lignocellulosic content, low crude protein, and poor digestibility. Enhancing its nutritive value is imperative for sustainable livestock production. This study explores a range of innovative strategies aimed at improving rice straw’s digestibility and overall nutritional quality. Physical processing techniques, including chopping, grinding, soaking, and steam treatment, enhance its surface …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 42–58 Read article
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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Contextualising health-disaster risk reduction pillars for under-resourced rural secondary schools in Limpopo Province, South Africa
Abstract: School communities in under-resourced rural settings face a disproportionate burden of health-related disasters, including outbreaks, water and sanitation failures, food insecurity and compound events that disrupt learning and wellbeing. Yet school based disaster risk reduction (DRR) evidence in Southern Africa is uneven with limited empirically guidance tailored to the organisational and infrastructural realities of disadvantaged schools. Drawing on the Comprehensive School Safety Framework and the World Health Organization's Health Emergency …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 124–135 Read article
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Design of an Integrated Health Monitoring System on an IoT-Based Framework
Abstract: With the advent of industrialization, health ailments have become a major cause of concern owing to an inactive and fast lifestyle, polluted environments, and detrimental eating habits. However, IoT has become a boon for the health sector and humanity on account of its countless benefits, rendering improved quality of service and patient-centric care. An Integrated Health Monitoring System (IHMS) is presented in this paper. This new IoT-based framework integrates wearable …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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MATLAB Simulation of Partial Power Converter with Dual- Mode Inverter for Solar Conversion
Abstract: The growing insertion of solar photovoltaic (PV) systems in the modern power systems requires high-efficiency, compact and reliable power conversion solutions. The traditional PV conversion system generally uses full-power processed DC-DC converters followed by inverters, which increases conduction and switching power losses, especially at higher power ratings. To overcome these challenges, this paper proposes a partial power processed resonant converter with a dual-mode transformer-less inverter for efficient solar PV power …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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A Study on the Ethical Implications and Data Privacy Challenges in the Age of Artificial Intelligence
Abstract: The fast adoption of Artificial Intelligence (AI) in areas like education, business, and everyday life comes with both tectonic and important ethical and data privacy issues. This paper examines the principle-practice divide between the ideals of the ethics as they are set and applied in the realities of AI implementation. The study is based on a mixed-methodology design, comprising of a quantitative survey of 52 participants and a qualitative study …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 Read article
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Menopausal Health Concerns in Women Residing in Urban Areas
Abstract: Menopause is a natural biological transition in a woman’s life marked by the permanent cessation of menstruation and significant hormonal changes. This stage is often accompanied by a variety of physical, psychological, and social challenges that can affect overall well-being. Women residing in urban areas may experience menopausal health concerns differently due to lifestyle patterns, occupational stress, environmental factors, and changing social structures. The present article explores the common health …
Published in International Journal of Women's Health Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 35–40 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article