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630 articles for “characterization methods”
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Flame-Retardant Polymeric Materials: Recent Advances and Future Directions
Abstract: This review explores essential flame-retardant polymers that play a vital role in various industries such as electrical & electronics, automobile, manufacturing, and firefighting. This review also highlights the latest progress in the design and synthesis of flame-retardant polymers, highlighting novel approaches such as the incorporation of nanomaterials, bio-based flame retardants, and the use of intumescent systems. Recent advancements include high-throughput screening, computational design, bio-based and sustainable flame retardants, self-healing materials, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 125–132 Read article
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A Comprehensive Review on Nanostructured Polymer Composites for CT Imaging Contrast Enhancement in Brain Tumor Diagnosis
Abstract: The detection and characterization of brain tumors require high-resolution and non-invasive imaging modalities that have the ability of differentiating tumorous tissues and healthy brain tissues. Computed tomography (CT) can be included in this number because, in addition to providing speedy scans and penetration to deep tissue, the diagnostic capability in soft tissue organ such as the brain is poor despite low natural contrast. The review is dedicated to the emerging …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 148–162 Read article
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Development of an Environmentally Friendly Bioplastic Film Derived from Water Hyacinth
Abstract: The water hyacinth, an invasive aquatic plant negatively impacting ecosystems, serves as a promising source for raw materials in the production of carboxymethylcellulose (CMC)-based bioplastics due to its high cellulose concentration. This initiative not only mitigates water hyacinth pollution in natural water resources but also contributes to the reduction of plastic waste through the creation of biodegradable CMC bioplastic films. The cellulose extraction from water hyacinth precedes the synthesis of …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 1, 2024 · pp. 18–24 Read article
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Comprehensive Experimental Analysis of the Mechanical Properties and Enhancements of Natural Fiber Composites
Abstract: This research investigates the mechanical characteristics of bio-composites reinforced using jute and sisal fibers. Natural fibers have emerged as promising alternatives because of their low density, renewability, biodegradability and approving mechanical properties. The research involved fabricating bio-composite plates using the hand lay-up method with varying orientations of jute and sisal fibers. The mechanical parameters, including tensile strength, impact strength, and flexural strength, were rigorously assessed and compared across various fiber …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 45–53 Read article
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Parametric Investigations of Melt Flow Index for Nylon6-Mica Composite Based Hybrid FDM Filament
Abstract: The development of new hybrid filaments with improved mechanical and thermal properties has been driven by the increasing need for high-performance materials in additive manufacturing. This study explores the parametric investigations of the Melt Flow Index (MFI) for Nylon6-Mica composite-based hybrid Fused Deposition Modeling (FDM) filament. The investigation uses the Taguchi technique to examine how different extrusion temperatures, loads and the percentage of Mica filler affect the MFI, a critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 165–173 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Research on Selection Method of the Optimum Alternative Using Improved AHP Method in NSDL Environment
Abstract: In this paper, we have considered the development of a decision-making tool to optimize the design of the ship-roll fin stabilizer using improved analytical hierarchy process (AHP) in a network-oriented system description language (NSDL) environment developed by combining the advantages of Petri nets and object-oriented programming languages. First, we have considered the network-oriented system description language NSDL, a new software development tool that combines the advantages of Petri nets and …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 46–56 Read article
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Molecular Docking Evaluation of Cedrus deodara Secondary Metabolites as a Potent Anti-ovarian Cancer Agent
Abstract: Objective: According to the statistics for the year 2022 it was seen that cancer total cases is 14,61,427. After breast cancer, ovarian cancer is the second most frequent cancer among women. The estrogen receptor (PDB ID: 1X7E), progesterone receptor (PDB ID: 1A28), and Phosphoinositide 3-kinases (PDB ID: 4FJY) can be considered as target protein for ovarian cancer. The plant Cedrus deodara and its phytochemicals were chosen in this study to …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 77–93 Read article
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Innovative Polymer Nanocomposites: Bridging Sustainability and Advanced Material Performance
Abstract: This study examines the evolution of bio-based polymer nanocomposites using eco-friendly synthesis methods to improve mechanical, thermal, and barrier properties. It involves the combination of sustainable synthetic polymers with natural polymers in the presence of nanofillers in a green and compatible fashion to generate durable nanocomposites. Optimal alignment of nanofillers with the polymer matrices can be achieved using solvent casting, melt blending, and in-situ polymerization as fabrication methods. Consequently, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1671–1679 Read article
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Using Multitarget Molecular Docking to Examine the Antiviral Potential of Clerodendrum Phlomidis against Measles
Abstract: Objective: Measles, a viral disease caused by a member of the Paramyxoviridae virus family, is highly contagious and characterized by a respiratory illness and a maculopapular rash on the skin. Children are the main victims of the illness. In the context of drug development, this study investigates the efficacy of phytocompounds derived from Clerodendrum phlomidis against the target protein of the measles virus. Methods: The 7SKS protein was retrieved from …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 32–42 Read article
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Personalized Medicines in Pharmaceutics: Drug Delivery System
Abstract: Pharmaceutics personalized medicine is a developing area that seeks to customize medical interventions for specific patients. Instead of a one-size-fits-all approach, personalized medicine focuses on developing treatments that consider a person’s unique characteristics, such as their genetic makeup, environment, and lifestyle. This allows for more effective treatment outcomes, as drugs are specifically designed to work best for each patient, reducing side effects and improving therapeutic results. In pharmaceutics, this involves …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 11–22 Read article
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Comparative Analysis of Natural and Synthetic Fibre-Reinforced Composites: Mechanical Properties, Processing, and Sustainability Considerations
Abstract: The development of fibre-reinforced composites has significantly advanced engineering applications due to their excellent strength-to-weight ratio, corrosion resistance, and versatility. Synthetic fibres such as glass and carbon provide superior mechanical performance, but their production is energy-intensive and environmentally harmful. Natural fibres, including jute, flax, banana, and hemp, offer biodegradability, lower cost, and sustainability benefits, though they often fall short in strength and durability. Hybrid composites frequently demonstrate improved performance by …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 77–95 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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A Study to Assess the Knowledge of Mothers Regarding Nutritional Status of Under Three- Years at Selected Urban Areas at Sankeshwar
Abstract: Background of the study: Solid knowledge of maternal/caregiver nutrition serves as a safeguard against factors that result in low weight-for-age z-score and low height-for-age z-score in children. The historical trend has shown that indicators of favorable child nutritional status have typically been lower in urban regions due to the prevalence of working mothers. Objectives: To assess the knowledge of mothers regarding nutritional status of child Methods: This research adopted a …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 1–6 Read article
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Fast Dissolving Oral Thin Films: A Review
Abstract: Fast-dissolving oral thin films (FDOFs) represent a significant advancement in drug delivery technology, offering advantages over traditional solid dosage forms, especially for patients with swallowing difficulties. FDOFs dissolve rapidly in the mouth, releasing the active ingredient without the need for water or chewing. They have picked up ubiquity due to their comfort, taste veiling capabilities, and progressed persistent compliance. Ideal drugs for FDOFs should possess characteristics such as solubility, stability, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 24–31 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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A Comprehensive Study of ZnxFe2-xO3 Nanoparticles: Assessing Magnetic Properties for Medical Imaging (MI)
Abstract: Diluted magnetic ZnxFe2-xO3 nanoparticles are special semiconducting nanoparticles which are recognized for their magnetic properties. A theoretical examination of Zn-doped αFe2O3 nanostructures reveals a range of structural and property variations, offering insights into their potential applications and behavior at the nanoscale. In this regard, Heisenberg’s model and Weiss molecular filed theory is used to describe the magnetic properties of ZnxFe2-xO3 nanoparticles. These theorems inevitably enable to investigate the relationship between …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 18–25 Read article