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403 articles for “Method of Characteristics”
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Green Synthesis and Functional Evaluation of Ag–Polypyrrole/TeO2 Nanocomposites for Advanced Electronic Applications
Abstract: Ag–PPy/TeO₂ nanocomposites with TeO₂ loadings ranging from 2% to 10% were synthesized using an in-situ chemical polymerization method. Green tea extract, rich in phytochemicals, acted as both a reducing and stabilizing agent to facilitate the formation of metal oxide nanoparticles. The structural and morphological characteristics of the nanocomposites were analyzed using FTIR, PXRD, and SEM techniques. FTIR confirmed the successful integration of Ag, TeO₂, and PPy functional groups. PXRD patterns …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 64–76 Read article
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Development of Robot Arm Fingers with Polymer Soft Materials
Abstract: Lightweight soft material applications have attracted attention to Basalt Fiber Reinforced Polymer (BFRP) laminates because of their impressive mechanical characteristics. The impact response and stress-strain behavior of epoxy resin laminates armored with basalt fiber and banana fiber are investigated during this project using computational and experimental approaches. The hand lay-up method was employed to create laminates with a thickness of 3 mm, dimensions of 300x300 mm², and a layout of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 432–439 Read article
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Valorization of shrimp processing waste by green methodology and its application in Chitosan-PEG composite film
Abstract: Shrimp processing waste is mostly unidentified marine by product, presents considerable environmental pollution which also offers a rich but not fully exploited sources of biopolymers. The current work presents a sustainable method to convert shrimp processing waste into chitosan a biopolymer by green methodology. Isolation of chitin to chitosan from shrimp processing waste was carried through four green methodology steps i. Demineralization using citric acid ii. Deproteinization using papain iii. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Evaluating The Durability and Environmental Sustainability of Hybrid Natural - Synthetic Fiber Composites
Abstract: This study examines the characteristics of hybrid composites composed of natural fibers (such as jute, hemp, or kenaf) and synthetic fibers (such as glass or carbon) integrated within polymer matrices. The hybridization method seeks to enhance the advantages of both fiber types, hence augmenting overall performance relative to single-reinforced composites. Mechanical properties like tensile strength, flexural strength, impact resistance and hardness were evaluated through experimental tests. The results demonstrate that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 93–102 Read article
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Modeling and Simulation of Radiative MHD Casson-Type Polymer Composite Flow over a Porous Wedge with Variable Thermal Source and Sink
Abstract: This study presents a numerical investigation of the radiative magnetohydrodynamic (MHD) flow and heat transfer characteristics of a Casson-type polymer fluid over a moving and extending porous wedge under the influence of a spatially varying heat source and sink. The Casson fluid model, representing a class of viscoplastic polymeric materials, is analyzed within the MHD framework to explore the combined effects of magnetic field intensity, rheological behavior, and porous medium …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 837–850 Read article
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The Poisson–Uma Distribution with Properties and Applications to Model Thunderstorm Events
Abstract: The discrete data available in any field of knowledge is influenced by several known and unknown factors and the factors which affect the discrete data are stochastic. The stochastic nature of discrete data is a challenge for statisticians to model and analyze with the existing discrete distributions. In the present paper, Poisson-Uma distribution, the Poisson compound of Uma distribution, has been proposed to model over-dispersed data of thunderstorm events. The …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 20–30 Read article
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Experimental Investigation of Boron Carbide Reinforced Al-Mg-Si Alloy Nano Composites by the Stir Casting Method Using Machine Learning Algorithm
Abstract: For the purpose of this experiment, Al-Mg-Si alloys were manufactured with the use of the stir casting process with a metal mold. The alloys had different weight percentages of nano boron carbide, which ranged from 0 to 4% by weight. The intervals between the percentages were 0.5. Following that, the microstructural and mechanical parameters of the as-cast alloy and the nano composites were compared and contrasted according to ASTM Standards …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1766–1779 Read article
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Investigation and Concerns on the Mechanics Behind Grain Refinement During ECAP Operation with Applications to Polymers
Abstract: Materials science and engineering have studied Equal Channel Angular Pressing (ECAP) grain refining. This abstract discusses important findings and concerns about grain refining mechanics during ECAP.A adaptable severe plastic deformation method; ECAP refines grain patterns in many metallic materials. Many researches have attempted to understand this phenomenon's complex mechanisms. Microhardness and microstructure (morphology) of AL alloy increase with the increase in pass numbers. It is observed that the mechanical property …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–11 Read article
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Forecasting of Crushing Strength of Sustainable Concrete by Employing Deep and Random Forest Machine Learning
Abstract: Sustainable concrete is one of the milestone of the concrete industry. This concrete fulfills the requirements of concrete manufacturing industry such as strengthen, Durability, environment friendly and many of other. With this properties of concrete, sustainable concrete is an ideal substitute for ordinary concrete in the concrete industry. In the 21th century Machine learning is a tool which is use to employ the characteristics of sustainable concrete by using deep …
Published in Journal of Polymer & Composites · Vol. 12, Issue 7, 2024 · pp. 41–46 Read article
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Effects of Nano B4C Addition on the Solidification Behavior of Al-2219 Alloy Composites
Abstract: The inclusion of nano B4C particulates in Al-2219-Nano B4C alloy was investigated to understand their impact on hardness and wear characteristics. 500 nm-sized nano B4C particulates are used as reinforcements for structures in the Al2219 alloy matrix. The nanocomposites were fabricated using the two-stage liquid stir melt method with varying weight percentages (2, 4, 6, and 8 wt. %) of Nano B4C in the Al-2219 alloy matrix. Renewable energy dispersive …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 1, 2024 · pp. 31–38 Read article
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Advanced Functional Nanocomposites: Graphene Oxide Integration into Polyvinyl Alcohol Matrix
Abstract: This research explores how incorporating graphene oxide (GO) into polyvinyl alcohol (PVA) can improve its mechanical and thermal characteristics, with the goal of creating multifunctional nanocomposites suitable for advanced technological applications. GO was introduced into the PVA matrix at 0.5, 1, and 2 wt% via a scalable solution casting method. The resulting nanocomposites were characterized mechanically, thermally, and spectroscopically. Tensile testing revealed a significant improvement in mechanical performance, with tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 50–59 Read article
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Synthesis and Spectral Characterization of Complexes Tin(II) With 4-Nitrophenol
Abstract: Tin(II)4-nitrophenoxide complexes with the formulas SnCl(OC₆H₄NO₂-4) and Sn(OC₆H₄NO₂-4)₂ were prepared through the reaction of stannous chloride (SnCl₂) with 4-nitrophenol (HOC₆H₄NO₂-4) in 1:1 and 1:2 molar ratios, respectively. The reaction was performed in tetrahydrofuran (THF) with diethylamine serving as the base. The resulting compounds were characterized through elemental analysis, determination of molecular weight, molar conductance measurements, and spectroscopic methods including IR and ¹H NMR spectroscopy. Current investigations are directed toward assessing …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 22–26 Read article
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Quantitative Image-Based Assessment of Degradation Patterns in Polymer-Based Medical Implants
Abstract: Polymer-based medical devices are widely used in clinical practice, where long-term material degradation can compromise performance and patient safety. Traditional polymer degradation studies predominantly rely on laboratory-based experiments, which often fail to capture real-world operational and usage conditions. In this study, a multimodal, data-driven framework is proposed for the quantitative assessment of degradation patterns in polymer-based medical devices using publicly available clinical failure data. Structured operational parameters, including cumulative usage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1510–1518 Read article
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Morphological Heterogeneity and Ethnic Patterning of Anthropometric Traits in Ethiopian Inter-Scholastic Athletes
Abstract: Introduction: Anthropometric characteristics such as body size, proportions, and composition are fundamental determinants of morphological suitability for sport. Ethiopia’s significant ethnic diversity suggests potential variability in these traits; however, systematic data on anthropometric differences among adolescent athletes from different ethnic and demographic backgrounds remain limited. Understanding these variations is critical for talent identification and sports specialization at the school level. Methods: A cross-sectional study was conducted among inter-scholastic athletes representing …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 25–34 Read article
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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Hydro-alcoholic Extract of Herbal Formulation and Evaluation of Papaya leaf And Orange Peel for treatment of Dengue Fever
Abstract: The fastest-spreading viral disease in the world is dengue contamination, which is spread by mosquitoes. Carica papaya leaf juice aids in raising the platelet count, and it occurs primarily in tropical and subtropical countries. The primary goal of this study is to inform medical experts about the use of Carica papaya leaf extract formulations (SYRUP) to treat dengue fever, a potentially fatal illness. Approach: To cure this illness, a water …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 1, 2025 · pp. 23–33 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Application of Natural and Synthetic Polymer-Based Disintegrants in the Design of Fast Dissolving Cefuroxime Axetil Tablet Composites
Abstract: The current paper examines how natural and synthetic polymer-based disintegrants can be used to design fast-soluble types of tablet composites. A model drug was chosen and tablets were prepared by the direct compression method using different polymeric excipients, such as guar gum, locust bean gum, sodium starch glycolate (SSG) and cross povidone. Eight formulations were prepared and tested on the basis of critical material and performance characteristics including thickness, hardness, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1348–1360 Read article
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Establishment of A Set of Similarity Prerequisite Conditions for Low-Cost Similitude Design of Structural System
Abstract: Similitude theory and method is a branch of engineering to establish necessary and sufficient conditions for similarity among complex phenomena. It is of great significance to develop the theory and application method in a more comprehensive way so that the similitude theory can be widely applied to low-cost designs of modern complex structural systems When designing a similitude structural system with various loads and boundary conditions, including rotating machines, it …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Overview AI-Driven Antenna Technologies and Privacy- Preserving Methods for Next-Generation 6G Wireless Systems
Abstract: The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems. AI-driven antennas are poised to address the unprecedented requirements for data rate, reliability, adaptability, and ubiquity in future networks. An overview of current advancements in AI-enabled antenna systems for 6G networks is provided in this study. From traditional base station deployments to distributed, cell-free, and user-centric frameworks, it examines …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 28–34 Read article